Diet-microbiome-gut-brain nexus in acute and chronic brain injury

Maria Alexander Krakovski; Niraj Arora; Shalini Jain; Jennifer Glover; Keith Dombrowski; Beverly Hernandez; Hariom Yadav; Anand Karthik Sarma

doi:10.3389/fnins.2022.1002266

. 2022 Sep 16;16:1002266. doi: 10.3389/fnins.2022.1002266

Diet-microbiome-gut-brain nexus in acute and chronic brain injury

Maria Alexander Krakovski ¹, Niraj Arora ², Shalini Jain ³, Jennifer Glover ³, Keith Dombrowski ³, Beverly Hernandez ⁴, Hariom Yadav ^3,^5,^*, Anand Karthik Sarma ^1,^6,^*

PMCID: PMC9523267 PMID: 36188471

Abstract

In recent years, appreciation for the gut microbiome and its relationship to human health has emerged as a facilitator of maintaining healthy physiology and a contributor to numerous human diseases. The contribution of the microbiome in modulating the gut-brain axis has gained significant attention in recent years, extensively studied in chronic brain injuries such as Epilepsy and Alzheimer’s Disease. Furthermore, there is growing evidence that gut microbiome also contributes to acute brain injuries like stroke(s) and traumatic brain injury. Microbiome-gut-brain communications are bidirectional and involve metabolite production and modulation of immune and neuronal functions. The microbiome plays two distinct roles: it beneficially modulates immune system and neuronal functions; however, abnormalities in the host’s microbiome also exacerbates neuronal damage or delays the recovery from acute injuries. After brain injury, several inflammatory changes, such as the necrosis and apoptosis of neuronal tissue, propagates downward inflammatory signals to disrupt the microbiome homeostasis; however, microbiome dysbiosis impacts the upward signaling to the brain and interferes with recovery in neuronal functions and brain health. Diet is a superlative modulator of microbiome and is known to impact the gut-brain axis, including its influence on acute and neuronal injuries. In this review, we discussed the differential microbiome changes in both acute and chronic brain injuries, as well as the therapeutic importance of modulation by diets and probiotics. We emphasize the mechanistic studies based on animal models and their translational or clinical relationship by reviewing human studies.

Keywords: microbiome, ketogenic diet, acute brain injury, chronic neurological disorders, stroke, neurodegeneration, probiotics

Introduction

In recent years, growing attention has been placed on the microbiome playing a role in health and disease. The microbiome (also called “gut flora” and “gut”) can be defined as the presence of abundant living microorganisms (primarily bacterial organisms), their genes and their metabolically produced byproducts residing in the GI tract (Quigley, 2017). The microbiome influences physiology, metabolism, nutrition, and immune function; Specifically, the microbiota impacts host health by producing metabolites that affect physiology of host cells by manipulating cellular and molecular mechanisms (Li et al., 2018). Notable metabolites include short-chain fatty acids (SCFAs), the primarily colonic metabolites believed to be critical in neuronal signaling and function (Morrison and Preston, 2016; Dinan and Cryan, 2017), and trimethylamine n-oxide (TMAO), a metabolite produced by some bacterial strains linked to exacerbating cardiovascular disease and stroke risk (Zhu W. et al., 2021). Butyrate, the most common SCFA, is produced from butyrate-producing bacteria, which includes Clostridium, Eubacterium, and Butyrivibrio genera, and is associated with bacterial proliferation, colonocyte energetic supply, and brain therapeutic potential (Bourassa et al., 2016). A growing body of research is suggesting that the microbiome has a convincing and modulatory role in central nervous system (CNS) function and dysfunction (Yarandi et al., 2016).

The purpose of this article is to review the gut-brain relationship, evidence from both animal and human studies observing changes in microbiome signatures during acute and chronic neurological injury states, and the effect of the diets like the ketogenic diet (KD) in mitigating brain inflammation and supporting brain recovery. This review has the potential of serving as an evidence base to consider the use of microbiome modulators like KD, probiotics, and others in brain recovery and expand its use in acute brain therapy.

The healthy gut

The colonization and character of the human microbiome is established at birth, with rapid development until 2 years old, after which much of the microbial composition is stabilized through adulthood with minor changes through aging (Fouhy et al., 2012). The initial and rapid colonization of the infant gut depends on several factors such as: mode of delivery, feeding type, antibiotic exposure, hospital environment, use of probiotics, and many more (Dominguez-Bello et al., 2010; Fouhy et al., 2012). The composition of the adult microbiome is largely dependent on regional/cultural diet and lifestyle practices (Biagi et al., 2011; Yatsunenko et al., 2012).

In the healthy state, a great amount of variation exists between each individuals’ microbiome profile, however overarching themes of strains exist. Bacterial phyla Firmicutes and Bacteroidetes are suggested to represent the largest proportion of microbiome (Yatsunenko et al., 2012), with microbial diversity maximized with a relative abundance of 80 and 15%, Firmicutes and Bacteroidetes respectively (Manor et al., 2020). Each individual’s enterotype is defined by the prominence of either Prevotella, Bacteroides, or Ruminococcus species (Arumugam et al., 2011). An individual’s enterotype is suggested to be affected by drug use and dietary choices (Arumugam et al., 2011; Wu et al., 2011).

In the healthy aging process, studies have determined a relatively low abundance of Firmicutes, and reduced bacterial diversity in the elderly population (Salazar et al., 2017). Metabolites of bacteria, notably SCFAs, are reduced in older age (Biagi et al., 2010; Salazar et al., 2013). Unfortunately, the elderly state is associated with a pro-inflammatory state (Schiffrin et al., 2010) with higher proportions of gram negative bacteria (Schiffrin et al., 2010) like Enterobacteriaceae and opportunistic bacteria like Proteobacteria, as well changes in the balance of microbes, all of which is linked to dysbiosis (Biagi et al., 2010; Shin et al., 2015).

The composition of the gut microbiome becomes unbalanced, altered, and in a state of “dysbiosis” due to a variety of reasons, including acute infection, acute and chronic disease, poor diet, and excessive antibiotic use (Vangay et al., 2015; Ballway and Song, 2021). Most clinical attempts to correct dysbiosis have been inadequate, but therapeutic utilization of fecal microbiota transplantation (FMT) has delivered successful results (Wang et al., 2019). FMT, often used to treat recurrent Clostridium difficile infections, involves transplanting stool from a healthy individual into another patient’s gastrointestinal (GI) tract to normalize the bacterial composition and correct a dysregulated gut (Surawicz et al., 2013; Gupta and Khanna, 2017; Wang et al., 2019). Long-term safety and efficacy of FMT in elderly and/or immunocompromised patients in treating severe, recurrent Clostridium difficile infections has been studied and proven successful (Kelly et al., 2014; Agrawal M. et al., 2016). Evidence for FMT provides an interesting perspective in disease treatment, especially correcting microbiome dysbiosis to relieve inflammation.

Gut brain axis

At any given instant, there is bidirectional chatter between two brains: our central nervous system and our gastrointestinal system (our gut microbiome). The gut-brain axis (GBA) can be defined as the bidirectional communication between the gut and the CNS that is integrated with multiple signaling pathways, including the enteric nervous system, sympathetic and parasympathetic pathways of the autonomic nervous system, endocrine system, and immunological system (Wang and Wang, 2016). The bidirectional exchange of the GBA in healthy and injured states of the brain is depicted in Figure 1 below.

Blood brain barrier

The brain, made of billions of neurons and glial cells, maintains connections to our body and gut in a selective and specific manner in a normal state of health. The brain is covered by a highly selective microvasculature called the blood brain barrier (BBB). The BBB is normally impermeable to many large molecules, polar substances, and bacteria through its tight junctions but allows passage of certain molecules through selective transport proteins on the BBB (Ballabh et al., 2004). The BBB can become disrupted by inflammation, such as during CNS hypoxic or injurious events that encourage the delivery of immunologic support to the brain and may contribute to the exacerbation of the CNS injury (Lochhead et al., 2017; Obrenovich, 2018).

During embryonic development of the BBB, the gut microbiome is hypothesized to be a contributor (Clarke et al., 2013) with evidence that the GBA is established from gestation (Braniste et al., 2014). Mice reared germ-free had more permeable BBBs than mice with a healthy microbiome and restoring the microbiome with SCFAs repaired BBB permeability to the levels of healthy pathogen-free mice (Braniste et al., 2014).

Dysregulated gut-brain axis by central nervous system injury

There is crosstalk between the gut and brain along the GBA to maintain homeostasis and healthy functioning. The microbiome produces several key factors that contribute significantly to neuronal and glial cell function and metabolism, such as SCFA, Tryptophan metabolites and neurotransmitters, and vitamins (Fung et al., 2017; Pellegrini et al., 2020). The microbiome also interacts extensively with the peripheral immune system and engages in immune-bacterial interplay that affects the CNS (Pellegrini et al., 2020). Functions of the GI tract are modulated along the GBA, with evidence suggesting that vagal afferents communicate with brainstem nuclei to affect efferent fibers to modulate GI secretion and motility (Filpa et al., 2016).

Shortly after acute brain injury, ischemic tissue will propagate significant neuronal apoptosis, necrosis, and inflammation leading to the release of immune cells, damage associated molecular patterns (DAMPs), and cytokines along the GBA (Li et al., 2020). These down-stream inflammatory mediators lead to the activation of the autonomic nervous system and the hypothalamus-pituitary-adrenal axis (HPA) (Li et al., 2020) which initiate intestinal inflammation through the Vagus nerve (Filpa et al., 2016) and thought to increase intestinal permeability or “leaky gut.” Such that the GBA is a bidirectional relationship, the induced stress of the gut leads to changes in the gut microbiome and release of microbes, endotoxin lipopolysaccharide (LPS), immune cells, and inflammatory mediators like T cell populations (Th1, Th2, Th17, and Treg), and cytokines like tumor necrosis factor-alpha (TNF-α), IL-2, IL-12, IL-17 and interferon-gamma (IFN-γ) that further exacerbate inflammation (Shichita et al., 2009; Arya and Hu, 2018) up the GBA and into the bloodstream to lead to systemic inflammation (Wang and Wang, 2016; Arya and Hu, 2018). The release of LPS, endotoxin found on the outer membrane of gram negative bacteria, activates an innate immune response by binding Toll-like Receptor 4 (TLR4) (Kawai and Akira, 2010) and is linked to exacerbating brain injury, stroke development and neuroinflammation (Macrez et al., 2011; Klimiec et al., 2016; Kurita et al., 2020).

Changes to brain-gut interactions during acute neurological injury

Acute neurological injuries such as ischemic stroke, traumatic brain injury (TBI), and intracerebral hemorrhages (ICH) are considered in this review. They each carry a high morbidity and mortality in the afflicted population. Understanding the brain-gut interactions in these acute injury states could lead to insights about possible new therapeutic interventions.

Ischemic stroke and microbiome

Stroke is the fifth leading cause of morbidity and mortality in the U.S. (Herpich and Rincon, 2020). Ischemic stroke, which, due to compromised blood supply, leads to local brain damage, is followed by an immune and inflammatory response. The ischemic brain tissue releases inflammatory mediators and DAMPs such as nuclear protein high mobility group box protein 1 (HMGB1) and peroxiredoxin family proteins (Shichita et al., 2012) to initiate innate and adaptive immune responses through activation of TLR4 in the brain (Kurita et al., 2020). This is implicated in inducing LPS-mediated inflammation in the gut (Kawai and Akira, 2010) which in turn exacerbates neuroinflammation (Kurita et al., 2020). Cytokines, inflammatory mediators, and inflammatory cells from the gut are suggested to migrate to the injured brain (Wang and Wang, 2016). Several animal studies have identified migration of intestine-derived proinflammatory Th1 and Th17 cells to the injured brain (Benakis et al., 2016; Singh et al., 2016). In addition, as much as 50% of patients suffer from gastrointestinal complications with emerging research suggesting it to be related to a disrupted GBA after stroke (Camara-Lemarroy et al., 2014; Wen and Wong, 2017). Overall, there is strong support that ischemic stroke induces microbiome dysbiosis via top–down processes which affects bottom-up neuroinflammatory signaling from the gut (Tan et al., 2020).

Animal studies

In a rodent MCA occlusion model, post-stroke gut dysbiosis led to changes in bacterial composition, principally a decrease in species diversity and overgrowth of harmful Bacteroidetes and was related to increased gut barrier permeability and reduced gut motility following stroke (Singh et al., 2016). Another study observed a reduction in microbiota species and “stroke specific” changes in bacterial species 3 days after a cerebral artery occlusion (Yamashiro et al., 2017). These changes and preferential overgrowth of particular bacterial species has been hypothesized to be linked to reduced intestinal motility (Yamashiro et al., 2017), autonomic nervous system induced noradrenaline release (Houlden et al., 2016), and increased intestinal permeability (Meddings and Swain, 2000; Caso et al., 2009) inflicted by a post-stroke response. A proof-of-concept study in which healthy mice were transplanted with stroke-affected microbiomes observed increased Th1 and Th17 levels, as well as migration of T-cells to the brain (Yamashiro et al., 2017). Recently, enteric TMAO production has been directly linked to stroke severity by influencing cerebral infarct magnitude and adverse functional outcomes (Zhu W. et al., 2021).

Human studies

Changes in microbial composition has also been noted in human studies, including a study by Yin et al. (2015), that found stroke patients had higher proportions of opportunistic bacterial pathogens such as Enterobacter, Megasphaera, Oscillibacter, and Desulfovibrio, and a reduction in commensal or beneficial genera including Bacteroides, Prevotella, and Faecalibacterium. Similarly, another study found reduced levels of short chain fatty acid (SCFA)-producing bacteria (Roseburia, Bacteroides, Lachnospiraceae, Faecalibacterium, Blautia, and Anaerostipes) and enhanced levels of Lactobacillaceae, Akkermansia, Enterobacteriaceae, and Porphyromonadaceae in those with acute ischemic stroke (Tan et al., 2021). Reductions in SCFAs and SCFA-producing bacteria in stroke is associated with poorer outcomes 90 days after stroke (Tan et al., 2021). In another human study, microbial diversity between cerebral infarction patients and controls were comparable (Li H. et al., 2020); however, in cerebral infarction patients, levels of butyrate producing bacteria (BPB) were reduced while levels of lactic acid bacteria (LAB) increased. The study observed NIH Stroke Scale scores had a negative association with BPB and a positive correlation with LAB (Li H. et al., 2020). Overall, human and mice studies support microbial dysbiosis and exacerbation of inflammation after stroke.

Traumatic brain injury and microbiome

Traumatic brain injury is the leading cause of death and disability in young adults in the western world (Winkler et al., 2016; Pearn et al., 2017) and contributes to nearly one-third of injury related deaths in the United States (Iaccarino et al., 2018). TBI is caused by a mechanical force that induces primary cerebral inflammation, including disrupting the BBB integrity that leads to edema, hemorrhage, hypoxia, cell death, axonal tearing, and gray–white matter disjunction secondary to impact forces (Blennow et al., 2012; Corps et al., 2015). BBB disruption, neural tissue damage, and disturbed autoregulation of cerebral blood flow has been associated with the post-traumatic epilepsy sequelae (Tomkins et al., 2011), increased ICP after TBI (Shahrokhi et al., 2010), and the release of immune “danger” signals (Manson et al., 2012), that can exacerbate neural injury (Corps et al., 2015) and induce systemic immune responses in peripheral organs (Tobin et al., 2014). TBI is also suggested to disturb the GBA by inducing GI mucosal barrier damage, leading to increased gut “leakiness” and mobilization of the defenses, activation of reactive gliosis, and entry of microbes into the CNS (Hanscom et al., 2021). Inflammatory migration to the brain is facilitated by acute BBB breakdown after TBI in humans (Hu and Tao, 2021). The systemic stress response after TBI activates the release of glucocorticoids by the Hypothalamic pituitary adrenal (HPA) axis and catecholamines by the ANS (Rosner et al., 1984; Koiv et al., 1997; Lemke, 2004; McDonald et al., 2020). Interestingly, gut dysbiosis has been reported to disrupt the HPA axis (Farzi et al., 2018), which prompts the question: does a dysregulated gut worsen post-TBI inflammation? The microbiome profile in individuals with TBI and other neurodegenerative diseases compared to normal controls and their respective animal models are vastly different (Gorjifard and Goldszmid, 2016; Ma et al., 2017, 2019; Shen et al., 2017; Simon et al., 2017; Vogt et al., 2017; Grosicki et al., 2018; Kigerl et al., 2018; Treangen et al., 2018; Zhan et al., 2018; Zhu et al., 2018; Zhuang et al., 2018; Nagpal et al., 2019; Rice et al., 2019; Royes and Gomez-Pinilla, 2019; Adriansjach et al., 2020; Urban et al., 2020). Several animal and human studies have studied the relationship between TBI and the microbiome.

Animal studies

In a systematic review by Pathare et al. (2020) seven studies discussing the impact of TBI on the gut microbiome were evaluated, six of which were animal studies. All studies determined a change in microbiome composition, especially an enrichment in Proteobacteria and Firmicutes bacterial populations across all studies. Interestingly, a study that analyzed rodents’ microbiome 2 h after moderate TBI identified that the volume of injured parenchyma correlated positivity with Proteobacteria and negatively with Firmicutes levels (Nicholson et al., 2019). In a more recent study using a mouse model, it was noted that microbiome diversity had time-dependent changes from 1 h to 7 days post-TBI. The study noticed TBI-induced gut inflammation was related to depleted levels of bile acids and suggested that changes to bile acid metabolism may be played by Staphylococcus and Lachnospiraceae (You et al., 2022).

Human studies

A recent human study with 101 moderate-severe TBI patients confirmed the enrichment of Proteobacteria in TBI as seen in previous rodent models, with the largest group being Enterobacteriaceae, as early as 48 h after impact (Mahajan et al., 2021). A study observed the changing microbiome profile of critically injured patients in which 8 of the 12 participants sustained a TBI (Howard et al., 2017). Researchers determined that there was no observed difference in microbial diversity between injured and non-injured patients upon ED admission; however, changes to the microbiome composition were dramatic within 72 h with a reduction of bacterial orders Bacteroidales, Fusobacteriales, and Verrucomicrobiales and enrichment of Clostridiales and Enterococcus in trauma patients (Howard et al., 2017). The increased ratio of pathogenic to commensal bacteria in the gut after trauma is thought to encourage the progression of post-TBI disease severity (Pathare et al., 2020). In a recent case-control study, researchers noted a significant increase in the composition of Enterococcus, Parabacteroides, Akkermansia, and Lachnoclostridium and a reduction in the abundance of Bifidobacterium and Faecalibacterium in TBI patients (Hou Y. et al., 2021). In summary, recent literature is convincing that TBI severity and a dysregulated gut composition are intertwined.

Intracerebral hemorrhages and microbiome

Compared to the above neurological injuries, hemorrhagic strokes or “brain bleeds” have less supporting data regarding their effect on the microbiome. Cerebral hemorrhages include subarachnoid hemorrhages (SAH) from trauma and aneurysmal rupture, intraparenchymal hemorrhage (IPH), subdural hemorrhage (SDH), and epidural hemorrhage (EDH). ICH accounts for 2.8 million deaths per year (Benjamin et al., 2019) and the poor outcome after ICH is due to the secondary injury and neuroinflammation propagated by the primary hematoma (Zhao et al., 2014; Duan et al., 2016; Zhu et al., 2019; Yu et al., 2021b). The detrimental effects of ICH are largely secondary to the induced neuroinflammation which is suspected to be related to proinflammatory T cell production of cytokines and increase in BBB permeability (Arumugam et al., 2005).

Animal studies

To observe the effect of the GBA and microbiome on T cell regulation after ICH, a recent rodent study by Yu et al. (2021b) observed that ICH altered the gut integrity and impaired gut motility, and T cells from the intestines migrated to perihematomal areas and exacerbated ICH neuroinflammation. Interestingly, researchers observed that FMT-treated mice had lower levels of IFN-γ, IL-17, and mRNA expression levels of TNFα 2 weeks following the injury (Yu et al., 2021b), suggesting that the gut microbiome has a strong role in neuroinflammation after ICH. In addition, FMT after ICH significantly alleviated the ICH-induced neurobehavioral deficits and restored gut barrier integrity (Yu et al., 2021b).

Another study using a rat model noted an increase of gut permeability from onset to 7 days following ICH-induction as well as a reduction in IgA and gut barrier tight junction markers (Zhang et al., 2021). The study found that the microflora composition of the ileum and lungs were similar, suggesting the translocation of enteric microflora to the lungs which prompted a pulmonary infection after hemorrhage (Zhang et al., 2021). Moreover, researchers noted that aggravation of the gut permeability promoted the migration of intestinal bacteria and increased the risk of post-injury pneumonia (Zhang et al., 2021). Hemorrhagic transformations (HT) following stroke were analyzed in mice and linked to an elevation in Proteobacteria and Actinobacteria bacteria and reductions in SCFAs. Exacerbation of HT was not seen in mice treated with antibiotics suggesting that susceptibility to HT may be related to changes to the microbiome (Huang et al., 2022).

Subarachnoid hemorrhage (SAH), is most often caused by a ruptured aneurysm (Petridis et al., 2017). In a SAH rodent model, a study found an interesting link between microbiome depletion and aneurysm formation: antibiotic use significantly reduced the risk of aneurysm formation, as well as reduced infiltration of inflammatory markers (Shikata et al., 2019). Overall, the results from recent animal studies support that the outcome as well as potentially the predisposition to cerebrovascular hemorrhages may be related to the microbiome.

Human studies

More recent literature has suggested a link between ICH and the gut. High plasma concentrations of TMAO have been demonstrated to correlate with poor 3-month function outcomes in human ICH patients (Zhai et al., 2021) and low levels of butyrate-producing bacteria was found to be associated with hemorrhagic strokes (Haak et al., 2021). FMT therapy also had efficacy in a human ICH case. A case reported a male patient developing sepsis and multiple organ dysfunction syndrome (MODS) after initial admission for a cerebellar hemorrhage, and successfully underwent a FMT to alleviate MODS (Wei et al., 2016). The FMT successfully corrected the dysbiosis by profoundly enhancing the abundance of Firmicutes and depleting Proteobacteria (Wei et al., 2016). Beyond this data, limited studies have evaluated the acute occurrence of brain bleeds with changes to the microbiome in humans.

Changes to brain–gut interactions during chronic neurological injury

The gut microbiome’s role in the development of chronic neurological disorders such as Alzheimer’s disease, Parkinson’s disease, epilepsy, vascular dementia, and primary brain tumors is discussed in this review. Interestingly, while the mechanisms of GBA disruption in acute and chronic brain injury have distinctions, there are considerable parallels to appreciate.

Alzheimer’s disease and microbiome

Alzheimer’s disease (AD) is a neurodegenerative disease with a state of chronic neuroinflammation and synaptic dysfunction as a primary manifestation (Lepeta et al., 2016; Schain and Kreisl, 2017; Bairamian et al., 2022) and its’ pathogenesis is attributed to several unelucidated comorbid neuropathologies (Soria Lopez et al., 2019).

Recent literature in both rodent and human studies have observed evidence of gut microbiome dysbiosis in advanced AD, suggesting a significant role of the microbiome in the pathogenesis of the AD (Bairamian et al., 2022).

Animal studies

In a rodent pre-clinical model, a role of the microbiome in Abeta amyloid development was suggested (Harach et al., 2017). The sequenced microbiome of Aβ precursor protein (APP) transgenic mice was vastly different than wild-type mice, with significant reductions in Firmicutes, Verrucomicrobia, Proteobacteria, and Actinobacteria and simultaneous increases in Bacteroidetes and Tenericutes phyla (Harach et al., 2017). Moreover, germ-free APP mice have greater increases in Aβ levels after FMT from conventionally reared APP mice compared to FMT from wild-type mice (Harach et al., 2017). Another rodent study links the production of Aβ proteins with the host microbiome (Minter et al., 2016); broad-spectrum antibiotic use shifted the microbial composition of rodents, including enhancing genus Akkermansia and family Lachnospiraceae, reduced cerebral Aβ deposits, and decreased neuro-inflammatory reactive gliosis to Aβ plaques (Minter et al., 2016). More recently, a study using a rodent AD model with gut dysbiosis linked increased expression of gut NLRP3 to the activation of peripheral inflammation and exacerbation of AD neuroinflammation (Shukla et al., 2021), providing a potential mechanism between gut dysbiosis induced AD progression.

Human studies

In human patients, increases in the abundance of pro-inflammatory taxa like Escherichia/Shigella and decreases in anti-inflammatory taxon E. rectale was observed in the stool of mildly impaired patients and associated with increases in inflammatory cytokines IL-1β, NLRP3, and CXCL2 and brain amyloidosis (Cattaneo et al., 2017). In another study, the bacterial taxonomic makeup of AD revealed lower bacterial diversity and a remarkable shift in bacteria composition, with decreased Firmicutes, increased Bacteroidetes, and decreased Bifidobacterium in those with AD compared to a distinctly different profile in age-matched controls (Vogt et al., 2017). It is thought that the abundance of the pathogenic gram-negative bacteria Bacteroidetes may increase the release of LPS into systemic inflammation, initiating an immune response that exacerbates neuroinflammation in AD (Bairamian et al., 2022).

The study also drew a positive correlation between the severity of microbiome change and the abundance of AD biomarkers in the cerebral spinal fluid (CSF) (Vogt et al., 2017). Another study observed a relation between AD and microbiome alterations, with Faecalibacterium prausnitzii correlating with less cognitive impairment in patients and that the administration of isolated strains of the bacteria improved cognitive functioning in a rodent model (Ueda et al., 2021). Interestingly, different microbiome signatures were observed within those with mild cognitive impairment (MCI); a study correlated levels of Proteobacteria with Aβ-42: Aβ-40 while fecal levels of propionate and butyrate negatively correlated with Aβ-42 (Nagpal et al., 2019). All taken together, the current state of literature is strong in its link between the progression of AD, gut dysbiosis, and the subsequent neuroinflammation, as well as the emerging potential of modulating the microbiome in approaching AD management (Bairamian et al., 2022).

Parkinson’s disease and microbiome

Parkinson’s disease (PD) is a neurodegenerative movement disorder due to the dramatic reduction of dopaminergic neurons in the substantia nigra. Interestingly, the pathological marker of PD, alpha-synuclein aggregates, is first detected in the enteric nervous system prior to the discovery in the brain (Felice et al., 2016), highlighting a role in the GBA in the progression of PD. To this end, researchers have found a suggestive link between PD progression and gut dysbiosis.

Animal studies

Recently, a study found that Osteocalcin (OCN), an osteoblast-derived protein, was successful in reducing dopaminergic cell loss and motor deficits in a PD mouse model through modulation of the gut; OCN depleted Firmicutes and increased abundance of Bacteroidetes, and OCN’s neuroprotective effect is thought to be facilitated by propionate, a SCFA (Hou et al., 2021).

Human studies

Sequencing of PD patients’ fecal samples indicated 77.6% lower levels of Prevotellaceae than the levels in age-matched controls (Scheperjans et al., 2015), significant in that Prevotellaceae is associated with maintaining gut barrier integrity through its role in mucin synthesis (Zhu X. et al., 2021). A high prevalence of Enterobacteriaceae was noted in PD as well as a strong correlation with worse impairments in postural instability and gate performance in PD patients (Scheperjans et al., 2015). Another PD patient study indicated a higher abundance of pro-inflammatory Proteobacteria and lower abundance of commensal Faecalibacterium and butyrate-producing bacteria (Keshavarzian et al., 2015). In short, the microbiome’s influence on the GBA and the pathogenesis of PD is an unfolding topic.

Epilepsy and microbiome

Epilepsy, a chronic neurological condition predisposing patients to frequent seizure production in the brain, estimates 2.4 diagnoses each year (Lum et al., 2020). Seizures consist of disbalanced neuronal excitation by glutamate and are prompted by various neurochemical, ionic, or traumatic triggers (Lum et al., 2020). Currently, anti-epileptic drugs (ADEs) have provided tremendous support for a number of patients with epilepsy, while many others are drug-resistant and have “refractory epilepsy.”

Animal studies

Nearly 15 years ago, a rodent study established a correlation between peripherally stimulated intestinal inflammation and increased neuroinflammation and seizure susceptibility (Riazi et al., 2008). In a more recent rodent model of epilepsy, while intestinal inflammation was associated with ineffective ADE responses and increases in seizure activity, administration of SCFA butyrate had anticonvulsant effects (De Caro et al., 2019). In a study of the microbiome with seizure susceptibility, both rats subjected to chronic stress as well as healthy rats that underwent FMT of stressed mice had accelerated development and prolongation of seizures (Medel-Matus et al., 2018). Animal studies have established a suggestive relationship between dysbiosis and seizure likelihood, and further research has extended to human subjects.

Human studies

Three human subject trials have observed altered gut composition with increased levels of Firmicutes with relation to Bacteroides in patients with refractory epilepsy (Xie et al., 2017; Peng et al., 2018; Lindefeldt et al., 2019). A recent review comparing the three above studies reports that there is not a clear understanding on the alpha diversity change in refractory epilepsy (Lum et al., 2020). Antibiotic use has been associated with changes in seizure risk; a meta-analysis of carbapenem use illustrated an enhanced seizure risk (Cannon et al., 2014) while a combination treatment of macrolides with a penicillin derivative was observed to render a small cohort of patients seizure-free for a period of time (Braakman and van Ingen, 2018). In patients with drug resistant epilepsy, the KD has been known to be therapeutic, and researchers have recently identified a link to the microbiome, which is discussed in the “Ketogenic Diet” section.

Vascular dementia and microbiome

Vascular dementia (VaD), caused by diminished blood supply to the brain due to a compromised cerebrovascular system, is the second most common cause of dementia and leads to a progressive cognitive, functional, and memory impairments (Sahathevan et al., 2012).

Animal studies

Due to the evidence of bidirectional signaling along the GBA, several studies have attempted to better understand the role of the microbiome in the pathogenesis of VaD, but they are limited to rodent studies. A study by Liu J. et al. (2015) was the first to find a modulatory effect on VaD by the microbiome (Sahathevan et al., 2012). Production of butyrate by Clostridium butyricum was shown to have a neuroprotective effect against VaD in a mouse model through improvement of cognitive function, reduced apoptotic rate, and decreased histological changes in the hippocampal CA1 region (Liu J. et al., 2015). In addition, mice models treated with Clostridium butyricum increased levels of Brain-derived neurotrophic factor (BDNF), a potent neural mediator of inflammation and apoptosis (Fanaei et al., 2014). The pathogenesis of VaD is growing in its understanding, and a role by the microbiome is considered but is in need of further study (Mirzaei et al., 2021).

Brain tumors and microbiome

Brain cancers, composed of tumors in the central nervous system, are defined by a chronic state of proliferative growth and angiogenesis. A recent review by Mehrian-Shai et al. (2019) has proposed mechanisms in which the progression of brain cancers can be encouraged by the microbiome and its interplay with host immune function and inflammation, but microbiome studies are mostly limited to a subset of primary brain cancers, gliomas. Glioma, a type of CNS tumor, is the leading cause of brain-related cancer deaths (Weller et al., 2015). While the etiology of gliomas are not clear, recent advances have suggested a relationship between the gut microbiome and its metabolites in facilitating the protective effects of anti-cancer agents (Dono et al., 2022).

Understanding of the microbiome in brain tumors is sparse, and research into microbial changes are limited primarily to animal studies which have recently acknowledged a link between glioma formation and microbiome dysbiosis. In a recent study, Fan et al. (2022) determined that glioma growth changed the gut microbiome, namely by increasing the abundance of Firmicutes and decreasing the abundance of Bacteroidia, in a rodent model (Fan et al., 2022). In addition, researchers observed that gut dysbiosis encouraged glioma growth and downregulation of cerebral Foxp3 expression (Fan et al., 2022), a regulator of regulatory T cell function, which emphasizes a bidirectional influence on the gut and brain through communications along the GBA.

A study of human glioma patients and mouse models found that certain neurotransmitters and SCFAs (butyrate, acetate, and propionate) were reduced with glioma (Dono et al., 2020). Researchers also observed that animal models on temozolomide (TMZ), a chemotherapeutic, did not develop the microbiota alterations associated with glioma (Dono et al., 2020). Another study evaluating the effect of glioma and TMZ on the gut observed that TMZ alleviated the changes seen in glioma-bearing mice; without the effect ofTMZ on the microbiome, fecal samples from glioma-bearing mice and human glioma patients had similar patterns of altered Firmicutes: Bacteroidetes and increased pathogenic Verrucomicrobia phylum and Akkermansia genus compared to control mice and patients (Patrizz et al., 2020). These two studies provide an interesting perspective on how a cytotoxic chemotherapeutic like TMZ has a strong modulatory effect on the microbiome and may provide an alternative mechanism in which TMZ mitigates glioma formation.

Another rodent study administered antibiotics and observed increased glioma growth, altered gut composition, reduced cytotoxic natural killer cells, and altered microglia expression (D’Alessandro et al., 2020). Preliminary pre-clinical studies in glioma-bearing mice have observed that gut microbiome taxa, namely Akkermansia muciniphila, might affect the response of PD-L1, an immune checkpoint (Dono et al., 2022). Akkermansia muciniphila has had evidence in mitigating the PD-L1 response in other non-brain cancers (Sivan et al., 2015; Routy et al., 2018). While still young is the study of glioma and the microbiome, results from several studies provide a plausible relationship between glioma and dysbiosis, potential mechanisms in which drugs like TMZ can affect glioma formation through affecting the microbiome, and a potential effect of microbial organisms such as Akkermansia muciniphila in affecting the progression of cancer.

Amyotrophic lateral sclerosis and microbiome

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that impacts upper and lower motor neurons, compromising functions such as breathing and ultimately leading to death typically within 2 years of disease onset. While some cases of ALS have been linked to genetic mutations such as SOD1, many underlying causes of ALS and how they affect prognosis is not yet elucidated (Chio et al., 2009; Boddy et al., 2021). Attention on the effect of the microbiome on ALS disease progression and severity has been considered in animal and human models (Zhang et al., 2017).

Animal studies

In mouse models, convincing correlations with microbiome health and ALS severity have been made. In a study by Zhang et al. (2017) SOD1^G93A mice supplemented with butyrate observed improved survival, enhanced gut barrier integrity and replenishment of butyrate-producing bacteria in the gut. Another study with SOD1^G93A mice correlated 11 bacteria with disease severity, such as Ruminococcus torques and Parabacteroides distasonis, and indicated a protective effect with treatment of Akkermansia muciniphila (Blacher et al., 2019). A recent study using C9orf72^Harvard mice observed prevalence of Helicobacter spp. in mouse models, and the administration of antibiotics decreased the abundance of Helicobacter spp. as well as the emergence of cytokine storms, neutrophilia, or other inflammatory phenotypes (Burberry et al., 2020).

Human studies

Several human studies noted low Firmicutes/Bacteroidetes ratio in ALS patients (Fang et al., 2016; Rowin et al., 2017; Zeng et al., 2020). Interestingly, a recent study linked an increase F:B ratio and higher bacterial diversity with accelerated disease progression in patients with Motor Neuron Disease (MND) (Ngo et al., 2020). One study also noted significantly greater abundance of harmful organisms within genus Dorea and reductions of beneficial bacteria like Oscillibacter, Anaerostipes, Lachnospiraceae (Fang et al., 2016). In addition, a study noted low microbial diversity in all five ALS patients and reduced levels of beneficial Ruminococcus in majority of ALS patients with reduced F/B levels (Rowin et al., 2017). A longitudinal study observing ALS patients’ microbiomes in between two time points noted significant fluctuations in microbial composition, such as increase in pro-inflammatory Cyanobacteria (Di Gioia et al., 2020). Human studies suggest a strong connection between dysbiosis and ALS and has led to in the study of probiotic supplementation in disease therapy (Di Gioia et al., 2020). While the study of 6-month probiotic supplementation suggested no substantial changes to the microbial composition of ALS patients (Di Gioia et al., 2020), interest in microbiome modulation and ALS disease progression is strong.

Multiple sclerosis and microbiome

Multiple Sclerosis is a neuroinflammatory disease, with acute and chronic exacerbations, that attacks the CNS. Insults lead to inflammatory lesions in the CNS and symptoms of fatigue, vision changes, and motor functions. The etiology of MS has been related to several factors, such as genetics, obesity, viral infections, and more recently, the microbiome (Preiningerova et al., 2022).

Animal studies

The microbiome’s involvement in immune dysregulation and disease development has been studied in the context of relapse-remitting MS for over a decade. In a relapsing-remitting mouse model of spontaneously developing experimental autoimmune encephalomyelitis (EAE), researchers suggest that the initiation of an endogenous immune response is dependent on commensal gut flora (Berer et al., 2011), and the recruitment of autoantibodies rely on the dual role of gut flora and myelin oligodendrocyte glycoprotein (Berer et al., 2011). Additional rat models of EAE suggest a link between microbial dysbiosis with MS progression. Studying colonizing EAE mice with beneficial bacteria has suggested improvement in disease severity; Bacteroides fragilis has been linked to protecting the susceptibility to EAE (Ochoa-Reparaz et al., 2010) and human-derived bacteria Prevotella suppressed the activation of Th1 and Th17 cells and mitigated inflammation in EAE (Mangalam et al., 2017). In contrast, establishment of segmented filamentous bacteria (SFB) in mice guts promotes the inflammatory IL-17 response and worsens EAE (Lee et al., 2011).

Human studies

When comparing the microbiome between identical twins discordant for MS, the MS patients had overall reduced diversity and significant increases in harmful taxa like Akkermansia (Berer et al., 2017). Interestingly, the MS patients’ stools were transplanted into mice and led to a higher incidence of spontaneous brain autoimmunity (Berer et al., 2017). In pediatric patients with relapsing-remitting MS (RRMS), shorter relapse intervals were significantly associated with reduction of Fusobacteria and expansion of Firmicutes (Tremlett et al., 2016). Studies have correlated dysbiosis of the microbiome in RRMS with observed enrichment of harmful genera Psuedomonas, Mycoplana, Haemophilus, Blautia, and Dorea (Chen et al., 2016) and reduction of SCFA-producing bacteria in MS patients (Takewaki et al., 2020). Taken together, several studies note disadvantageous changes to the gut microbiome in patients with MS.

Dietary interventions on brain injury

Probiotic supplements and diet

Probiotics are defined as live strains of selected bacteria (Hill et al., 2014), present in foods such as yogurt, kefir, kombucha, miso, and other fermented foods, that supplement the composition of consumers’ microbiomes. The study of supplementary probiotics’ relation to brain injury is limited, with human studies mainly in the study of drug-resistant epilepsy. In a recent 2018 pilot study, the use of an eight-strain probiotic, including the three genres of Lactobacillus, Bifidobacterium, and Streptococcus, in 45 drug resistant epilepsy patients noted significant improvement in quality of life and 50% reduction in the number of seizures in 28.9% of patients, leading authors to suggest the safe use of probiotics in mitigating seizures (Gomez-Eguilaz et al., 2018). In a study of neonates with rotavirus in a Neonatal Intensive Care Unit (NICU) setting, administration of probiotics, namely Saccharomyces boulardii or Lactobacillus casei, within 24 h of birth reduced the odds ratio of developing seizures while in the NICU (Yeom et al., 2019). Probiotic use in a small cohort of MS patients suggested modest success in decreasing the release of inflammatory cytokines such as intermediate monocytes (CD14^highCD16^low) and CD80 monocytes, and increased abundance of taxa, notably Lactobacillus, Streptococcus, and Bifidobacterium species (Tankou et al., 2018a). Another study suggested a synergistic effect of probiotics and current MS therapies, with probiotic administration linked to increases in depleted taxa like Lactobacillus and reduced the abundance of MS-associated taxa Akkermansia and Blautia (Tankou et al., 2018b).

The use of probiotic supplementation has been studied in stress-induced animal models and has some evidence in mitigating symptoms of anxiety and depression through various unelucidated potential mechanisms, including microbial composition alterations, reduction in cytokines, increase in brain-derived neurotrophic factor, and modulating inflammatory immune pathways (Liu X. et al., 2015). Probiotic supplementation in stroke was recently reviewed (Wu and Chiou, 2021), with studies limited to animal models that suggested beneficial protection and improved ischemia with probiotic use, such as a study that observed mitigation of infarct volume and neuronal cell death with Lactobacillus amylovorus DSM 16698T (ILA) supplementation (Wanchao et al., 2018) and another study that noted significant reduction in tumor necrosis factor-alpha level with Bifidobacterium breve, Lactobacillus casei, Lactobacillus bulgaricus, and Lactobacillus acidophilus supplementation (Akhoundzadeh et al., 2018). Supplementation of Lactobacillus spp. to a rodent model of MS mitigated neuroinflammation and correlated to IL-10’s production of regulatory T cells (Lavasani et al., 2010).

A recent review on the Mediterranean diet addressed several human studies that considered fish intake as neuroprotective against dementia and cognitive decline, as well as several human studies that correlated lower stroke risk with fish intake (Roman et al., 2019). Researchers related the mechanisms behind the observed health benefits to an increase of plasma omega-3 fatty acids after fish consumption (Roman et al., 2019). Regarding diet and acute brain injury, whole grain consumption through cold breakfast cereal and bran has been linked to significantly lower ischemic stroke incidence in two cohort studies (Juan et al., 2017). The effect of different diets on the outcomes in acute brain injury are described in Table 1. The therapeutic potential of a specific dietary intervention is particularly promising in the realm of brain injury: the ketogenic diet.

TABLE 1.

Summarized findings of diet on brain injury and neuroinflammation.

Diet	Source	Neural injury	Model	Methods	Findings
Fructose	Agrawal R. et al., 2016	TBI	Male Sprague -Dawley rats	Eight weeks of fructose drink	Fructose disrupted hippocampal mitochondrial, cell homeostasis and plasticity, worsened spatial memory, and promoted membrane lipid peroxidation.
High-fat sucrose (HFS)	Hoane et al., 2011	Cortical contusion	Sprague–Dawley rats	Eight weeks HFS diet prior to bilateral frontal cortical contusion injuries (CCI)	HFS-fed mice had worsened performance on somatosensory and memory tasks and greater loss of parenchyma post-CCI compared to standard diet.
	Wu et al., 2003	TBI	Male Sprague -Dawley rats	Four weeks of HFS diet prior to mild fluid percussion injury or sham surgery	HFS further aggravated the FCI-induced impairment of spatial learning and cognitive function; suggested to be due to HFS’s reduction of brain-derived neurotrophic factor.
High-fat	Sherman et al., 2016	Mild TBI	C57 BL/6 Mice	60% kcal HFD for 4 months, deemed obese at 25–30% weight gain, then TBI via controlled skull impact (CSI) device.	30 days after injury, heightened microglial activation was present in injured HFD mice. Also noted male obese mice had worse outcomes than obese female mice.
	Puig et al., 2012	TBI	C57 BL/6 Mice	22-week HFD (21.2% by weight)	HFD-mice demonstrated enhanced NF-α, microglia, and macrophage activation in the brain and adipose tissue as well as circulating amyloid precursor proteins.
High tryptophan (HTD)	Yue et al., 2021	SUDEP	DBA/1 mice	Mice experiencing seizure-induced respiratory arrest (S-IRA) assigned to HTD or normal	HTD significantly reduced the rates of S-IRA, levels of cranial 5-HT and 5-HIAA, and increased microbiome diversity. There was increased composition of Proteobacteria and Actinobacteria after HTD.
High Fiber	Matt et al., 2018	Neuro-Inflammation in aged mice	Aged mice	1% cellulose (low fiber) or 5% inulin (high fiber) diet for 4 weeks	Mice after high fiber diet consumption had reduced microglial pro-inflammatory gene expression as well as inflammatory infiltrates in the colon. High fiber diet altered the gut microbiome composition and increased SCFA production, especially butyrate and acetate.
Mediterranean Diet (MeD)	Estruch et al., 2018	Ischemic stroke	High cardiovascular risk Humans	Participants split into: (1) MeD supplemented with extra virgin olive oil, (2) MeD supplemented with nuts, (3) control group with low-fat diet	Lower rates of major cardiovascular events occurred in participants assigned to an energy-unrestricted Mediterranean diet, supplemented with extra-virgin olive oil or nuts, compared to those assigned to a reduced-fat diet.
High fruit and vegetable diet	Aune et al., 2017	Stroke	Healthy humans followed for stroke incidence	Various methods – (meta analysis). Most followed patients for stroke risk	Relative risk reduction of stroke with vegetable and fruit intake – 20% RRR with 200–350 g/day, 28% RRR with 500 g/day, and 33% RRR with 800 g/day.

Open in a new tab

Ketogenic diet

The KD is defined as a high-fat, adequate-protein, low-carb diet (Pondel et al., 2020). The KD originates from science’s understanding of ketogenesis, the process in which ketone bodies (KBs) are generated from fatty acid metabolism from acetyl-CoA in the liver. KBs include acetoacetate (ACA), D(-)3-hydroxybutyrate (D-βHB, β-HB), and acetone and the former two are shuttled into the citric acid cycle to generate ATP. Increased levels of ketones are able to “spare” glucose from being used in energetic tasks, and this action of KD has been implicated in underlying the therapeutic potential of KD on the brain (Zilberter and Zilberter, 2020).

Ketogenic diet relation to the brain

The brain is a highly metabolic instrument, and while glucose is its primary energy source, during times of starvation, ketone bodies fulfill up to 70% of the brain’s metabolic requirements (Owen et al., 1967). Plasma levels of KBs during prolonged fasting states range from 5.8 to 9.7 mM/l (Owen et al., 1967). The cerebral ability of ketone uptake is dependent on the plasma concentration of KBs and the level of monocarboxylic acid transporters (MCT) on the BBB (White and Venkatesh, 2011). It has been proposed that, while the adult brain is thought to have low levels of microvascular MCT expression on the BBB (Vannucci and Simpson, 2003), high levels of plasma KB correlate with high uptake of KBs in the brain. Therefore, MCT expression is suggested to be concentration-dependent on KBs (Hawkins et al., 1971; Leino et al., 2001; Vannucci and Simpson, 2003), evident in a study (Bentourkia et al., 2009) observing up to eight-fold increases in cerebral KB uptake during ketosis states. Ketones alone cannot adequately maintain the cerebral energetic needs so supplementation with proteins and minimal carbohydrates is often accompanied with a KD (White and Venkatesh, 2011).

Role of ketogenic diet in brain injury

The KD has been proposed to be beneficial and neuroprotective in chronic brain injury (Prins, 2008). The use of KD in providing alternative fuel to the brain during injury has been considered for decades; in a state of low cerebral blood flow, the energetic supply of glucose is compromised, and its metabolism is affected (O’Connell et al., 2005; Prins et al., 2013), which in turn compromises the metabolic needs of the brain. Exogenous supply of ketones can fulfill the energetic demands, especially considering the production and maintenance of ketones as well as its associated ATP production is suggested to be more efficient than glucose (Prins et al., 2004; Prins, 2008). Moreover, there is suggestive evidence in mouse models that the injured brain prefers ketone metabolism, as studies have observed increases in MCT2 (neuronal MCTs) transporters 6 and 24 h after TBI [178] and increases in MCT1 transporters within 24 h of ischemic injury (Tseng et al., 2003; Zhang et al., 2005). Recent studies have also highlighted that adequate and/or over-expression of MCTs likely has a role in alleviating poor stroke outcomes (Wang et al., 2011; Yu et al., 2021a). The temporal shift from glucose metabolism to ketone metabolism is unclear. Several studies (Zhang et al., 2013; Ma and Suzuki, 2019) on nutritional ketosis suggest that the shift from glucose metabolism to ketone metabolism takes time, but how long is unclear. Nonetheless, there is growing evidence to suggest that in an injured, energetically deprived state, cerebrum metabolism will switch to ketone metabolism to meet energetic demands.

Inflammation is a hallmark in exacerbating neural disease and/or injury. Neuroinflammation is associated with the following changes in the brain: microglia activation, increased circulation of inflammatory markers such as chemokines, cytokines (such as IL-1β, IL-6) and necrosis factor (TNF), peripheral cell recruitment, and local tissue damage (O’Callaghan et al., 2008; Tremblay et al., 2011; Estes and McAllister, 2014; Woodburn et al., 2021). Means to mitigate the inflammation propagated by primary brain injury is vital in avoiding poor outcomes after brain injury, and KD’s role in doing so is depicted in Figure 2. Mechanisms of KD’s neuroprotective and anti-inflammatory affect has been proposed by Gough et al. (2021) to be of several means, including: KBs serving as alternative fuel for brain metabolism and thereby restoring energetic needs of the brain, induction of anti-inflammatory signaling pathways such as suppressing the NLRP3 inflammasome, reduction of oxidative stress by increasing the histone acetylation of FoxP3 leading to the reduced release of reactive oxygen species, and alterations to the gut microbiome. The KD and its production of ketones have been linked to mitigating acute and chronic neuroinflammation and injury.

Impact of ketogenic diet ameliorating abnormalities in microbiome-gut-brain axis. The figure illustrates the effect of the ketogenic diet (KD) on alleviating brain injury and modulating the microbiome. With ischemic and traumatic acute brain injury, the energetic demands of the brain are compromised due to injury-provoked low cerebral blood flow and hence glucose supply to the brain- leading to lower production of ATP, exacerbation of brain parenchymal damage and propagating neuroinflammation, including microglial macrophage-like activity and cytokine (i.e., IL-1β, IL-6, TNF) release. Also depicted in the injured brain state is a baseline number of monocarboxylic acid transporters (MCTs) on the blood brain barrier (BBB), receptors that determine cerebral uptake of ketone bodies (KB). When KD is ingested and converted to its component ketone bodies (KB) through liver metabolism, the KBs lead to changes in the brain as well as the gut microbiome. In the microbiome, several studies note beneficial changes in taxa in both animal and human models, including a decrease in *Proteobacteria* (Medel-Matus et al., 2018), *Actinobacteria* (De Caro et al., 2019; Zilberter and Zilberter, 2020), and a rise in SCFA levels (Nagpal et al., 2019). In the brain, with increases of systemic KB supply, there is increase of synthesis of MCT receptors on the BBB, leading to enhanced cerebral uptake of KBs. KBs have been proposed to act as efficient alternative cerebral fuel, reinstating the energetic demands of the brain by increasing ATP production, as well as mitigating neuroinflammation by decreasing the pro-inflammatory activation of NLRP3 Inflammasome, and decreasing microglial activation and cytokine and chemokine release. There is growing evidence that KB has the potential of improving the injured and diseased brain states.

Ketogenic diet interventions in chronic neurologic disorders

The use of KD and its induced state of ketosis to treat neurological disease dates back to over a century ago, where it was implemented as a treatment for pediatric epilepsy at the Mayo Clinic in 1921 (Wheless, 2008). Since then, research on the KD diets in relation to disease states have greatly increased in the last two decades. The efficacy and safety of achieving a state of ketosis in the study of neuronal injury in both animal and human trials is discussed in Table 2.

TABLE 2.

Studies analyzing the safety and efficacy of KD with evidence of sustained ketosis.

Study	Study type	Disease	Intervention	Results	Measuring ketosis	Safety of KD
Animal models
Streijger et al., 2013	C5 hemi-section rodent model	Spinal cord injury	KD 3:1 4 h following injury	The study associated KD to smaller spinal lesion sizes and improved ipsilateral forelimb movement, and, interestingly, when MCT was pharmacologically inhibited, the neuroprotective effect by KD was prevented	Blood Ketone concentrations (mmol/L), specially βHB, via Medisense Precision Xtra monitor. Rodents sustained ketosis for 12 weeks after injury.	Not addressed
Kong et al., 2017	C5-hemisection rodent model	Spinal cord injury	KD 7:1 2 weeks prior to injury	KD metabolite beta-Hydroxybutyrate administration can mitigate oxidative stress in spinal cord injury through KD’s suppression of class I histone deacetylases.	Measured blood ketone levels (βHB) – Two weeks prior to injury, ketone levels reached ∼2.8 mM, then decreased to ∼1.5 mM the day after SCI, and then slightly increased at 3 days after SCI. At 7 days post-injury, ketone level increased to pre-injury levels (∼2.8 mM).	Not addressed
Tai et al., 2008	Rodent model	Cardiac arrest induced cerebral ischemia	KD fat (78%), protein (10%), carbohydrate (2%), and inert components (10%).	KD prevented cardiac arrest-induced cerebral ischemic events, as well as neurodegeneration in the cerebellum and thalamic reticular nucleus.	Sustained ketosis for 25 days in KD fed rats was confirmed by colorimetric determination of the blood βHB level using a βHB LiquiColor kit	Not addressed
Shaafi et al., 2019	Stereotactic endothelin-1 (ET-1) MCA stroke model	Ischemic stroke	KD 4:1 + 3.5 cc/day MCT oil + 12 h fast before to induce ketosis quicker, given 3 days prior to stroke induction	Preconditioning KD significantly reduced motor dysfunction as measured by all motor-behavior function assessments.	KB levels measured prior to KD, and repeated on 2nd, 4th, 6th, 9th, 11th day of the study. KB levels were significantly higher than the other two groups from the second day and sustained consistently during the remainder of the study (3.39 ± 0.81 mmol/L, 0.31 ± 0.09 and 0.34 ± 0.07 mmol/L respectively, P < 0.001).	Not addressed
Ma et al., 2018	Young healthy mice	Neurovascular integrity	KD feed (not specified) over 16 weeks	At 16 weeks, KD fed mice had significant increases in cerebral blood flow, BBB P-glycoprotein channel transporter’s, reduced mTOR, and enhanced expression of endothelial nitric oxide syntheses. Changes in microbiota was noted – increases in Akkermansia muciniphila and Lactobacillus and decreases in Desulfovibrio and Turicibacter.	Measured blood ketone levels - KD fed mice had significantly higher (43%) ketone levels compared to control mice (p = 0.0004). Ketone and glucose levels were inversely related.	Not addressed
Ari et al., 2014	SOD1-G93A transgenic ALS mice	ALS	KD custom-diet with macronutrient profile similar to human prescribed KD. Started diet at 10 weeks old and continued until survival endpoint.	KD-fed mice had greater motor performance and extended survival time than controls fed a standard diet.	Blood collected from tail snip of glucose and βHB at survival endpoint. Blood βHB was over 50% higher in KD fed mice.	Not addressed
Zhao et al., 2006	SOD1-G93A transgenic ALS mice	ALS	KD feed based on known human formulation	KD has been associated with augmented motor unit survival and motor performance improvement.	KD fed mice showed > 3.5 elevation in the blood concentration of circulating ketone bodies (acetone, acetoacetate, and βHB) compared to standard feed animals (1056 ± 197 vs. 360 ± 43 μM, p = 0.012). The principle KB (78%) measured was is βHB.	Not addressed
Human studies
Phillips et al., 2018, 2021; Taylor et al., 2018; White et al., 2020	RCT, crossover trial	Alzheimer’s Disease	Low fat diet versus ketogenic diet recipes which constituted 58% fat, 29% protein, 7% fiber, and 6% net carbohydrate by weight - 12 weeks intervention with 10 weeks washout period	Modified KD achieved sustained ketosis during KD period and cognitive performance improvement in AD Cooperative Study - Activities of Daily Living (ADCS-ADL) inventory, and Quality of Life in AD (QOL-AD) questionnaire in those with Alzheimer’s disease.	Patients who completed the ketogenic diet reached sustained physiological ketosis (12-week mean beta-hydroxybutyrate level: 0.95 ± 0.34 mmol/L).	Mild adverse effects – irritability, fatigue, sugar cravings. Irritability is a common adverse effect of AD [28].
Nagpal et al., 2019	Double-blind, cross-over, pilot RCT	Alzheimer’s disease	MMKD versus American Heart Association Diet (AHAD) - 6-week diet intervention with 6 weeks washout period.	MMKD increased abundance of Enterobacteriaceae, Akkermansia, Slackia, Christensenellaceae and Erysipelotrichaceae and decreased levels of Bifidobacterium and Lachnobacterium. MMKD had minor decreases in fecal lactate and acetate but increases SCFAs propionate and butyrate.	Blood ketone levels measured weekly to ensure compliance – 17 of 23 initiating the diets were included in the fecal analysis	No adverse effects or safety of KD was addressed
Nagpal et al., 2020	Randomized, double-blind, crossover, single-center pilot trial	Mild cognitive impairment (MCI)	MMKD versus American Heart Association Diet (AHAD) - 6-week diet intervention with 6 weeks washout period.	MMKD induced a broader effect on gut fungal (mycobiome) diversity in subjects with MCI compared to cognitively normal controls. MMKD on MCI also increased Agaricus and Mrakia while decreased Saccharomyces and Claviceps fungal taxons.	Not addressed	Not addressed
Taylor et al., 2018	Pilot RCT	Alzheimer’s disease	MCT supplemented KD aka “Very high-fat KD” (VHFKD) – 70% fat including MCT, 1:1 ketogenic ratio, 8 weeks	Study confirmed ketosis and cognitive improvement over the 3-month period, noted cognitive reversion to baseline during the washout phase, and justified safety of KD in AD.	Urine acetoacetate levels were measured daily by participants and βHB plasma levels were measured monthly. Study noted significant increases in βHB levels during the VHFKD period but urine results did not suggest consistent acetoacetate levels throughout the diet (60.6% of participants resulted some degree of acetoacetate in their urine)	MCT-associated diarrhea.
Phillips et al., 2018	Pilot RCT	Parkinson’s disease	Low-fat diet vs. KD. KD meal plan consisted of daily intake of 1,750 kcal per day composed of 42 g of fat, 75 g of protein, 246 g net carbohydrate, and 33 g of fiber.	PD patients adhering to KD diet sustained ketosis (measured via βHB) and had significantly decreased MDS-Unified Parkinson’s Disease Rating Scale scores and greater improvements in non-motor symptoms (cognitive impairment, fatigue, pain sensations) compared to patients fed a low-fat diet.	Measured βHB levels. Over 8 weeks, results saw significant differences between the diet groups in weekly mean bedtime blood glucose (low−fat group: 6.28 ± 0.73 mmol/L vs. ketogenic group: 5.70 ± 1.20 mmol/L; P = 0.001) and ketone (0.16 ± 0.05 mmol/L vs. 1.15 ± 0.59 mmol/L; P < 0.001) levels.	Minor exacerbation of tremor and/or rigidity - 50% of patients week 1–4 then reduced to 29% in weeks 5–8.
White et al., 2020	Phase II RCT intervention.	Acute brain injury – phase II intervention - enrolled within 48 h of admission	KD combo enteral feed via NG tube: KetoCall^® (4:1 Ratio, 88.7% fat, 8.3% protein, 3.1% CHO) + Protifar^® (protein feed 28 g/l to meet caloric goal)	The study noted that ketone levels increased with KD enteral feed and that KB levels correlated with KetoCal caloric intake. The study concluded the safety of KD tube feeds on adult brain injury (no acid/base changes, hypoglycemia, seizures) but did not note an impact of KD on cerebral hemodynamics.	Plasma KB levels of βHB and acetoacetate were measured. Study noted a significant increase of plasma KBs during the study period, with βHB levels rising from 0.24 ± 0.31 mmol/l to 0.61 ± 0.53 mmol/l (p = 0.0005) and acetoacetate levels increasing from 0.19 ± 0.16 mmol/l to 0.52 ± 0.40 mmol/l (p < 0.0001) over the study period. Sustained reduction of plasma glucose from day one until day six.	GI side effects, noted an increase in several hepatocellular and cholestatic enzymes

Open in a new tab

Recent research has shifted attention on the microbiome and how it can be connected to the neuroprotective effects of KD in brain injury and disease. An interesting study by Olson et al. (2018) observed KD protective effects against seizures; KD-fed mice subjected to microbiome depletion through antibiotic use or germ-free rearing saw increases in seizure frequency—no longer experiencing the protective effect of KD. When antibiotics were discontinued, the microbiome was restored and showed a reduced alpha diversity and enhanced KD associated Akkermansia and Parabacteroides that, combined, restored the KD defense against seizures. Furthermore, the study demonstrated the same KD-associated seizure effect in control mice that underwent a FMT from KD-fed mice (Olson et al., 2018). The study also noticed a correlation with KD-induced seizure protection on a systemic level such as increased GABA:glutamate hippocampal levels and decreased systemic gamma-glutamylated amino acids (Olson et al., 2018). This study was novel in its suggestion of microbes playing a role in influencing hippocampal excitability through regulation of peripheral metabolites with KD.

Several human studies have correlated microbial changes with KD and seizure alleviation. A study on children with drug-resistant epilepsy (DRE) saw, within 1 week of KD diet initiation, KD-associated changes to the microbiome included decreased alpha diversity, reduced composition of Proteobacteria, and enhanced composition of beneficial bacteria such as the phylum Bacteroidetes (Xie et al., 2017). Another study noted that 3-month KD use decreased levels of Actinobacteria and Bifidobacterium and increased levels of Proteobacteria (Lindefeldt et al., 2019) while another study observed that levels of Actinobacteria and Firmicutes were reduced relative to Bacteroides after 6 months of KD treatment in children with DRE (Zhang et al., 2018). A study by Zhang et al. (2018) saw variable responses to KD and correlated it to microbiome compositions; Interestingly, those that did not respond favorably to the KD had enhanced levels of Alistipes, Clostridiales, Lachnospiraceae, Ruminococcaceae, and Rikenellaceae compared to patients that responded well to KD (Zhang et al., 2018). A recent study observed a higher ketogenic ratio and diet compliance in DRE adult patients supplemented an Adkins diet with KetoCal^®; however, the study did not notice augmented seizure reduction (McDonald et al., 2018). The effect of KD on adults with DRE is currently not clear (Martin-McGill et al., 2020) and warrants more study.

Beyond epilepsy, KD has been suggested to be therapeutic in mitigating neuroinflammatory processes. In a rodent model of Parkinson’s disease, KD was suggested to reduce microglia activation and suppress inflammatory factors such as IL-1β, IL-6, and TNF-α (Yang and Cheng, 2010). KD therapeutic use in human PD has suggested safety and efficacy, with a recent pilot RCT observing greater improvements in non-motor symptoms such as fatigue and pain sensation in those fed the KD diet for 8 weeks compared to a low-fat diet (Phillips et al., 2018). The therapeutic tie between the microbiome and KD in PD has not be described. In ALS, KD has been associated with augmented motor unit survival, motor performance improvement, and extended survival time in rodent models (Zhao et al., 2006; Ari et al., 2014).

The role of KD in Multiple Sclerosis has been described in rodent and human modals. In a rodent model of MS, KD was associated with the downregulation of CD4 + cells, microglia, and expression of cytokines (IL-1β, IL-6, TNF-α, IL-12, IL-17) and chemokines (IFN-γ, MCP-1, MIP-1α, MIP-1β) (Kim et al., 2012). KD has been implicated in providing therapeutic potential in MS rodent models, such as the potential of axonal regeneration (Storoni and Plant, 2015), however clinical evidence in human trials is lacking (Bahr et al., 2020). In a human study of 25 MS patients, quantification of microbiome signatures defined significant reductions in colonic bacteria, namely Roseburia, Bacteroides, and Faecalibacterium prausnitzii (Swidsinski et al., 2017); however, with KD, microbiome abundance and diversity improved. In KD-fed MS patients the study observed increases in colonic composition at week 12, and improved diversity and abundance values (except for Akkermansia) comparable to healthy controls by week 24 (Swidsinski et al., 2017). In a more recent study on the use of long-term (18 months) KD therapy, the authors cited limited clinical evidence of KD improving MS disease severity (Bahr et al., 2020). Further study of KD therapy for MS disease severity as well as microbiome improvement is warranted.

A recent study on mild cognitively impaired (MCI) patients attributed the modified-KD to changes in the microbiome signatures and increases in SCFA production (Nagpal et al., 2019). Bacterial composition in KD-fed MCI patients was noteworthy for increases in Enterobacteriaceae, Akkermansia, Slackia, Christensenellaceae, and Erysipelotrichaceae while reductions in abundance of Bifidobacterium and Lachnobacterium were noted. Researchers linked particular microbiome changes to improved AD biomarkers, such as amyloid beta and tau proteins, in the CSF (Nagpal et al., 2019). A recent crossover study with AD patients noted the safety and efficacy of KD in inducing sustained ketosis and leading to cognitive performance improvement (Phillips et al., 2021). The safety of using KD in AD patients was further described, with another study utilizing a KD supplemented with medium-chain triglycerides (MCTs) noting MCT-associated diarrhea in 50% of patients, but reporting no changes in blood glucose levels, insulin, liver function tests, renal functioning, electrolyte balances, body mass index, bone mass or EKG, concluding the safety of this high-fat diet in AD for at least 3 months (Taylor et al., 2018). Another recent study observed the effect of KD on neurovascular integrity and its relationship with microbiome changes in mice (Ma et al., 2018). The study noted changes in microbiota composition which included increased abundance of beneficial Akkermansia muciniphila and Lactobacillus and decreased abundance of inflammatory Desulfovibrio and Turicibacter. In addition, after 16 weeks of KD feed, mice had significant increases in cerebral blood flow and P-glycoprotein channel transporters on the BBB to encourage the clearance of Amyloid beta proteins (Ma et al., 2018). The study of KD in healing chronic brain injury states is promising in animal models and has been extended for therapeutic use in humans. Studies in chronic injury states have provided a basis of efficacy and safety of KD and have encouraged study into the interplay of acute brain injury and the microbiome.

Ketogenic diet interventions in acute brain injuries

While limited, the study of KD and its component KBs in neuroinflammation is growing. Several studies have suggested a significant role by the ketone body β-HB in mitigating neuroinflammation. In an animal model looking at the acute response of KD on stress, it was noted β-HB caused the acute production of mitochondrial H₂O₂ and 4-hydroxy-2-nonenal (4-HNE), suggestive of activating the Nrf2 pathway, the primary cellular response pathway (Milder et al., 2010). Similarly, a study isolated β-HB in its direct role in preventing the NLRP3 inflammasome, which in turn suppressed the release of inflammatory cytokines IL-1β and IL-18 by caspase-1 in human monocytes (Youm et al., 2015). Suppression of NLRP3 inflammasome is considered significant and, in recent years, has gained attention in being utilized as a target in mitigating neuroinflammatory disease (Shao et al., 2018). More recently, in a fish model, β-HB was observed to inhibit LPS-induced inflammation seemingly by up-regulating anti-inflammatory genes such as NF-κBIA (Qiao et al., 2020).

A few animal models investigate the KD effect on acute CNS injury. While traumatic spinal cord injury (SCI) is not addressed in this review due to the scope of brain injury, there are several parallels to the pathophysiology of TBI with SCI (Jogia and Ruitenberg, 2020). In rodent SCI models, the KD intervention was associated with smaller spinal lesion sizes and improved ipsilateral forelimb movement (Streijger et al., 2013) and reduction of oxidative stress (Kong et al., 2017). In stroke models, KD-preconditioning significantly reduced motor dysfunction after stroke (Shaafi et al., 2019). Such promise in improved stroke outcomes has prompted study in human studies.

Human studies of KD and acute brain injury are very limited. Recently, a Phase II randomized control trial was done in the setting of acute brain injury with KD enteral administration (White et al., 2020). The study included patients with ischemic stroke, subarachnoid hemorrhage, and TBI and noted that ketone levels increased with KD enteral feed and that KB levels correlated with KetoCal^® caloric intake, but no impact of KD on cerebral hemodynamics was observed (White et al., 2020). The study concluded the safety of KD tube feeds on adult brain injury, with no acid/base changes, hypoglycemic emergencies, or seizure development (White et al., 2020). KetoCal^® and KetoVie^® are two commercially available formulas for dietary medical management of DRE epilepsy treatment and other KD-benefiting conditions, with both products consisting of a liquid diet with a 4:1 ketogenic ratio formula. Long-term compliance with KD can be challenging considering patients may opt to deter from the regimented diet for more appetizing foods. In the realm of acute brain injury, the use of Ketogenic feeds can be very promising, considering issues with compliance can be regulated in a hospital setting. While the studies mentioned prior noted effects of KD on chronic brain injury and correlated them with microbiome changes, studies in the context of KD therapy for acute brain injury do not cite any microbiome observations. Given the infancy of the study of the KD-microbiome connection, especially in the context of acute brain injury, such a gap is expected but warrants further trial.

Conclusion/future directions

Taken together, the microbiome is affected by neurodegenerative conditions as well as brain injury states. While the specific changes to the microbiomes of patients suffering different neurological disorders are varied, a common theme is presented, in both acute and chronic brain injury: pathogenic and opportunistic bacteria like Enterobacteriaceae and Proteobacteria are enhanced why mutualistic and beneficial taxa such as Faecalibacterium and SCFA-producing bacteria are relatively depleted. It can be argued that the presence of gut dysbiosis and abundance of opportunistic bacteria is linked to the exaggeration of neuroinflammation, delay in functional recovery, and aggravation of tissue damage. With our growing understanding of the link between brain injury and dysbiosis, the KD provides a promising opportunity in meeting the unmet metabolic, energetic, and immunologic demands of the brain in an acute and chronic state of injury and inflammation.

The safety and efficacy of KD in human subjects has been extensively studied and confirmed in chronic neurological disorders (Walczyk and Wick, 2017; Gough et al., 2021; Yurista et al., 2021; Pietrzak et al., 2022; Zhu et al., 2022). While safety in chronic use has been established and confirmed with some acute injury studies, there is a relative lack in understanding the therapeutic potential of KD in acute injury states such as ischemic stroke, cerebral hemorrhages, and TBI. Moreover, the impact of KD on the microbiome and how it interacts with the pathogenesis and/or outcomes of various neurological disorders warrants better understanding. Substantial efforts should be made in order to elucidate the potential of high fat diets like KD in modulating the gut microbiome and lending itself to the establishment of new therapeutic targets.

Author contributions

MK was involved in the literature search of the current state of science to be discussed in the review as well as consolidating ideas and writing up the greater majority of the review, created the tables and as well as the original artwork of the figures. AKS was MK’s primary mentor along the review writing process, guided the direction of MK’s research, provided frequent feedback, created the format and flow of the article, and edited multiple draft phases. NA provided meaningful edits in the draft phases of the review and contributed some information into the review. HY directed the formatting and scope of the review and provided meaningful feedback in the writing process. SJ, JG, KD, and BH provided meaningful feedback during the editing phase. All authors contributed to the article and approved the submitted version.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Adriansjach J., Baum S. T., Lefkowitz E. J., Van Der Pol W. J., Buford T. W., Colman R. J. (2020). Age-related differences in the gut microbiome of Rhesus macaques. J. Gerontol. A Biol. Sci. Med. Sci. 75 1293–1298. 10.1093/gerona/glaa048 [DOI] [PMC free article] [PubMed] [Google Scholar]
Agrawal M., Aroniadis O. C., Brandt L. J., Kelly C., Freeman S., Surawicz C., et al. (2016). The long-term efficacy and safety of fecal microbiota transplant for recurrent, severe, and complicated clostridium difficile infection in 146 elderly individuals. J. Clin. Gastroenterol. 50 403–407. 10.1097/MCG.0000000000000410 [DOI] [PubMed] [Google Scholar]
Agrawal R., Noble E., Vergnes L., Ying Z., Reue K., Gomez-Pinilla F. (2016). Dietary fructose aggravates the pathobiology of traumatic brain injury by influencing energy homeostasis and plasticity. J. Cereb. Blood Flow Metab. 36 941–953. 10.1177/0271678X15606719 [DOI] [PMC free article] [PubMed] [Google Scholar]
Akhoundzadeh K., Vakili A., Shadnoush M., Sadeghzadeh J. (2018). Effects of the oral ingestion of probiotics on brain damage in a transient model of focal cerebral ischemia in mice. Iran J. Med. Sci. 43 32–40. [PMC free article] [PubMed] [Google Scholar]
Ari C., Poff A. M., Held H. E., Landon C. S., Goldhagen C. R., Mavromates N., et al. (2014). Metabolic therapy with deanna protocol supplementation delays disease progression and extends survival in amyotrophic lateral sclerosis (ALS) mouse model. PLoS One 9:e103526. 10.1371/journal.pone.0103526 [DOI] [PMC free article] [PubMed] [Google Scholar]
Arumugam M., Raes J., Pelletier E., Le Paslier D., Yamada T., Mende D. R., et al. (2011). Enterotypes of the human gut microbiome. Nature 473 174–180. 10.1038/nature09944 [DOI] [PMC free article] [PubMed] [Google Scholar]
Arumugam T. V., Granger D. N., Mattson M. P. (2005). Stroke and T-cells. Neuromol. Med. 7 229–242. 10.1385/NMM:7:3:229 [DOI] [PubMed] [Google Scholar]
Arya A. K., Hu B. (2018). Brain-gut axis after stroke. Brain Circ. 4 165–173. 10.4103/bc.bc_32_18 [DOI] [PMC free article] [PubMed] [Google Scholar]
Aune D., Giovannucci E., Boffetta P., Fadnes L. T., Keum N., Norat T., et al. (2017). Fruit and vegetable intake and the risk of cardiovascular disease, total cancer and all-cause mortality-a systematic review and dose-response meta-analysis of prospective studies. Int. J. Epidemiol. 46 1029–1056. 10.1093/ije/dyw319 [DOI] [PMC free article] [PubMed] [Google Scholar]
Bahr L. S., Bock M., Liebscher D., Bellmann-Strobl J., Franz L., Pruss A., et al. (2020). Ketogenic diet and fasting diet as Nutritional Approaches in Multiple Sclerosis (NAMS): Protocol of a randomized controlled study. Trials 21:3. 10.1186/s13063-019-3928-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
Bairamian D., Sha S., Rolhion N., Sokol H., Dorothee G., Lemere C. A., et al. (2022). Microbiota in neuroinflammation and synaptic dysfunction: A focus on Alzheimer’s disease. Mol. Neurodegener. 17:19. 10.1186/s13024-022-00522-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
Ballabh P., Braun A., Nedergaard M. (2004). The blood-brain barrier: An overview: Structure, regulation, and clinical implications. Neurobiol. Dis. 16 1–13. 10.1016/j.nbd.2003.12.016 [DOI] [PubMed] [Google Scholar]
Ballway J. W., Song B. J. (2021). Translational approaches with antioxidant phytochemicals against alcohol-mediated oxidative stress, gut dysbiosis, intestinal barrier dysfunction, and fatty liver disease. Antioxidants 10:384. 10.3390/antiox10030384 [DOI] [PMC free article] [PubMed] [Google Scholar]
Benakis C., Brea D., Caballero S., Faraco G., Moore J., Murphy M., et al. (2016). Commensal microbiota affects ischemic stroke outcome by regulating intestinal gammadelta T cells. Nat. Med. 22 516–523. 10.1038/nm.4068 [DOI] [PMC free article] [PubMed] [Google Scholar]
Benjamin E. J., Muntner P., Alonso A., Bittencourt M. S., Callaway C. W., Carson A. P., et al. (2019). Heart disease and stroke statistics-2019 update: A report from the american heart association. Circulation 139 e56–e528. 10.1161/CIR.0000000000000659 [DOI] [PubMed] [Google Scholar]
Bentourkia M., Tremblay S., Pifferi F., Rousseau J., Lecomte R., Cunnane S. (2009). PET study of 11C-acetoacetate kinetics in rat brain during dietary treatments affecting ketosis. Am. J. Physiol. Endocrinol. Metab. 296 E796–E801. 10.1152/ajpendo.90644.2008 [DOI] [PubMed] [Google Scholar]
Berer K., Gerdes L. A., Cekanaviciute E., Jia X., Xiao L., Xia Z., et al. (2017). Gut microbiota from multiple sclerosis patients enables spontaneous autoimmune encephalomyelitis in mice. Proc. Natl. Acad. Sci. U.S.A. 114 10719–10724. 10.1073/pnas.1711233114 [DOI] [PMC free article] [PubMed] [Google Scholar]
Berer K., Mues M., Koutrolos M., Rasbi Z. A., Boziki M., Johner C., et al. (2011). Commensal microbiota and myelin autoantigen cooperate to trigger autoimmune demyelination. Nature 479 538–541. 10.1038/nature10554 [DOI] [PubMed] [Google Scholar]
Biagi E., Candela M., Franceschi C., Brigidi P. (2011). The aging gut microbiota: New perspectives. Ageing Res. Rev. 10 428–429. 10.1016/j.arr.2011.03.004 [DOI] [PubMed] [Google Scholar]
Biagi E., Nylund L., Candela M., Ostan R., Bucci L., Pini E., et al. (2010). Through ageing, and beyond: Gut microbiota and inflammatory status in seniors and centenarians. PLoS One 5:e10667. 10.1371/journal.pone.0010667 [DOI] [PMC free article] [PubMed] [Google Scholar]
Blacher E., Bashiardes S., Shapiro H., Rothschild D., Mor U., Dori-Bachash M., et al. (2019). Potential roles of gut microbiome and metabolites in modulating ALS in mice. Nature 572 474–480. 10.1038/s41586-019-1443-5 [DOI] [PubMed] [Google Scholar]
Blennow K., Hardy J., Zetterberg H. (2012). The neuropathology and neurobiology of traumatic brain injury. Neuron 76 886–899. 10.1016/j.neuron.2012.11.021 [DOI] [PubMed] [Google Scholar]
Boddy S. L., Giovannelli I., Sassani M., Cooper-Knock J., Snyder M. P., Segal E., et al. (2021). The gut microbiome: A key player in the complexity of amyotrophic lateral sclerosis (ALS). BMC Med. 19:13. 10.1186/s12916-020-01885-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
Bourassa M. W., Alim I., Bultman S. J., Ratan R. R. (2016). Butyrate, neuroepigenetics and the gut microbiome: Can a high fiber diet improve brain health? Neurosci. Lett. 625 56–63. 10.1016/j.neulet.2016.02.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
Braakman H. M. H., van Ingen J. (2018). Can epilepsy be treated by antibiotics? J. Neurol. 265 1934–1936. 10.1007/s00415-018-8943-3 [DOI] [PubMed] [Google Scholar]
Braniste V., Al-Asmakh M., Kowal C., Anuar F., Abbaspour A., Toth M., et al. (2014). The gut microbiota influences blood-brain barrier permeability in mice. Sci. Transl. Med. 6:263ra158. 10.1126/scitranslmed.3009759 [DOI] [PMC free article] [PubMed] [Google Scholar]
Burberry A., Wells M. F., Limone F., Couto A., Smith K. S., Keaney J., et al. (2020). C9orf72 suppresses systemic and neural inflammation induced by gut bacteria. Nature 582 89–94. 10.1038/s41586-020-2288-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
Camara-Lemarroy C. R., Ibarra-Yruegas B. E., Gongora-Rivera F. (2014). Gastrointestinal complications after ischemic stroke. J. Neurol. Sci. 346 20–25. 10.1016/j.jns.2014.08.027 [DOI] [PubMed] [Google Scholar]
Cannon J. P., Lee T. A., Clark N. M., Setlak P., Grim S. A. (2014). The risk of seizures among the carbapenems: A meta-analysis. J. Antimicrob. Chemother. 69 2043–2055. 10.1093/jac/dku111 [DOI] [PubMed] [Google Scholar]
Caso J. R., Hurtado O., Pereira M. P., Garcia-Bueno B., Menchen L., Alou L., et al. (2009). Colonic bacterial translocation as a possible factor in stress-worsening experimental stroke outcome. Am. J. Physiol. Regul. Integr. Comp. Physiol. 296 R979–R985. 10.1152/ajpregu.90825.2008 [DOI] [PubMed] [Google Scholar]
Cattaneo A., Cattane N., Galluzzi S., Provasi S., Lopizzo N., Festari C., et al. (2017). Association of brain amyloidosis with pro-inflammatory gut bacterial taxa and peripheral inflammation markers in cognitively impaired elderly. Neurobiol. Aging 49 60–68. 10.1016/j.neurobiolaging.2016.08.019 [DOI] [PubMed] [Google Scholar]
Chen J., Chia N., Kalari K. R., Yao J. Z., Novotna M., Paz Soldan M. M., et al. (2016). Multiple sclerosis patients have a distinct gut microbiota compared to healthy controls. Sci. Rep. 6:28484. 10.1038/srep28484 [DOI] [PMC free article] [PubMed] [Google Scholar]
Chio A., Logroscino G., Hardiman O., Swingler R., Mitchell D., Beghi E., et al. (2009). Prognostic factors in ALS: A critical review. Amyotroph. Lateral Scler. 10 310–323. 10.3109/17482960802566824 [DOI] [PMC free article] [PubMed] [Google Scholar]
Clarke G., Grenham S., Scully P., Fitzgerald P., Moloney R. D., Shanahan F., et al. (2013). The microbiome-gut-brain axis during early life regulates the hippocampal serotonergic system in a sex-dependent manner. Mol. Psychiatry 18 666–673. 10.1038/mp.2012.77 [DOI] [PubMed] [Google Scholar]
Corps K. N., Roth T. L., McGavern D. B. (2015). Inflammation and neuroprotection in traumatic brain injury. JAMA Neurol. 72 355–362. 10.1001/jamaneurol.2014.3558 [DOI] [PMC free article] [PubMed] [Google Scholar]
D’Alessandro G., Antonangeli F., Marrocco F., Porzia A., Lauro C., Santoni A., et al. (2020). Gut microbiota alterations affect glioma growth and innate immune cells involved in tumor immunosurveillance in mice. Eur. J. Immunol. 50 705–711. 10.1002/eji.201948354 [DOI] [PMC free article] [PubMed] [Google Scholar]
De Caro C., Leo A., Nesci V., Ghelardini C., di Cesare Mannelli L., Striano P., et al. (2019). Intestinal inflammation increases convulsant activity and reduces antiepileptic drug efficacy in a mouse model of epilepsy. Sci. Rep. 9:13983. 10.1038/s41598-019-50542-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
Di Gioia D., Bozzi Cionci N., Baffoni L., Amoruso A., Pane M., Mogna L., et al. (2020). A prospective longitudinal study on the microbiota composition in amyotrophic lateral sclerosis. BMC Med. 18:153. 10.1186/s12916-020-01607-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
Dinan T. G., Cryan J. F. (2017). The microbiome-gut-brain axis in health and disease. Gastroenterol. Clin. North Am. 46 77–89. 10.1016/j.gtc.2016.09.007 [DOI] [PubMed] [Google Scholar]
Dominguez-Bello M. G., Costello E. K., Contreras M., Magris M., Hidalgo G., Fierer N., et al. (2010). Delivery mode shapes the acquisition and structure of the initial microbiota across multiple body habitats in newborns. Proc. Natl. Acad. Sci. U.S.A. 107 11971–11975. 10.1073/pnas.1002601107 [DOI] [PMC free article] [PubMed] [Google Scholar]
Dono A., Nickles J., Rodriguez-Armendariz A. G., McFarland B. C., Ajami N. J., Ballester L. Y., et al. (2022). Glioma and the gut-brain axis: Opportunities and future perspectives. Neurooncol. Adv. 4:vdac054. 10.1093/noajnl/vdac054 [DOI] [PMC free article] [PubMed] [Google Scholar]
Dono A., Patrizz A., McCormack R. M., Putluri N., Ganesh B. P., Kaur B., et al. (2020). Glioma induced alterations in fecal short-chain fatty acids and neurotransmitters. CNS Oncol. 9:CNS57. 10.2217/cns-2020-0007 [DOI] [PMC free article] [PubMed] [Google Scholar]
Duan X., Wen Z., Shen H., Shen M., Chen G. (2016). Intracerebral hemorrhage, oxidative stress, and antioxidant therapy. Oxid. Med. Cell. Longev. 2016:1203285. 10.1155/2016/1203285 [DOI] [PMC free article] [PubMed] [Google Scholar]
Estes M. L., McAllister A. K. (2014). Alterations in immune cells and mediators in the brain: It’s not always neuroinflammation! Brain Pathol. 24 623–630. 10.1111/bpa.12198 [DOI] [PMC free article] [PubMed] [Google Scholar]
Estruch R., Ros E., Salas-Salvado J., Covas M. I., Corella D., Aros F., et al. (2018). Primary prevention of cardiovascular disease with a mediterranean diet supplemented with extra-virgin olive oil or nuts. N. Engl. J. Med. 378:e34. 10.1056/NEJMoa1800389 [DOI] [PubMed] [Google Scholar]
Fan Y., Su Q., Chen J., Wang Y., He S. (2022). Gut microbiome alterations affect glioma development and Foxp3 expression in tumor microenvironment in mice. Front. Oncol. 12:836953. 10.3389/fonc.2022.836953 [DOI] [PMC free article] [PubMed] [Google Scholar]
Fanaei H., Karimian S. M., Sadeghipour H. R., Hassanzade G., Kasaeian A., Attari F., et al. (2014). Testosterone enhances functional recovery after stroke through promotion of antioxidant defenses, BDNF levels and neurogenesis in male rats. Brain Res. 1558 74–83. 10.1016/j.brainres.2014.02.028 [DOI] [PubMed] [Google Scholar]
Fang X., Wang X., Yang S., Meng F., Wang X., Wei H., et al. (2016). Evaluation of the microbial diversity in amyotrophic lateral sclerosis using high-throughput sequencing. Front. Microbiol. 7:1479. 10.3389/fmicb.2016.01479 [DOI] [PMC free article] [PubMed] [Google Scholar]
Farzi A., Frohlich E. E., Holzer P. (2018). Gut microbiota and the neuroendocrine system. Neurotherapeutics 15 5–22. 10.1007/s13311-017-0600-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
Felice V. D., Quigley E. M., Sullivan A. M., O’Keeffe G. W., O’Mahony S. M. (2016). Microbiota-gut-brain signalling in Parkinson’s disease: Implications for non-motor symptoms. Parkinsonism Relat. Disord. 27 1–8. 10.1016/j.parkreldis.2016.03.012 [DOI] [PubMed] [Google Scholar]
Filpa V., Moro E., Protasoni M., Crema F., Frigo G., Giaroni C. (2016). Role of glutamatergic neurotransmission in the enteric nervous system and brain-gut axis in health and disease. Neuropharmacology 111 14–33. 10.1016/j.neuropharm.2016.08.024 [DOI] [PubMed] [Google Scholar]
Fouhy F., Ross R. P., Fitzgerald G. F., Stanton C., Cotter P. D. (2012). Composition of the early intestinal microbiota: Knowledge, knowledge gaps and the use of high-throughput sequencing to address these gaps. Gut Microbes 3 203–220. 10.4161/gmic.20169 [DOI] [PMC free article] [PubMed] [Google Scholar]
Fung T. C., Olson C. A., Hsiao E. Y. (2017). Interactions between the microbiota, immune and nervous systems in health and disease. Nat. Neurosci. 20 145–155. 10.1038/nn.4476 [DOI] [PMC free article] [PubMed] [Google Scholar]
Gomez-Eguilaz M., Ramon-Trapero J. L., Perez-Martinez L., Blanco J. R. (2018). The beneficial effect of probiotics as a supplementary treatment in drug-resistant epilepsy: A pilot study. Benef. Microbes 9 875–881. 10.3920/BM2018.0018 [DOI] [PubMed] [Google Scholar]
Gorjifard S., Goldszmid R. S. (2016). Microbiota-myeloid cell crosstalk beyond the gut. J. Leukoc. Biol. 100 865–879. 10.1189/jlb.3RI0516-222R [DOI] [PMC free article] [PubMed] [Google Scholar]
Gough S. M., Casella A., Ortega K. J., Hackam A. S. (2021). Neuroprotection by the ketogenic diet: Evidence and controversies. Front. Nutr. 8:782657. 10.3389/fnut.2021.782657 [DOI] [PMC free article] [PubMed] [Google Scholar]
Grosicki G. J., Fielding R. A., Lustgarten M. S. (2018). Gut microbiota contribute to age-related changes in skeletal muscle size, composition, and function: Biological basis for a gut-muscle axis. Calcif. Tissue Int. 102 433–442. 10.1007/s00223-017-0345-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
Gupta A., Khanna S. (2017). Fecal microbiota transplantation. JAMA 318:102. 10.1001/jama.2017.6466 [DOI] [PubMed] [Google Scholar]
Haak B. W., Westendorp W. F., van Engelen T. S. R., Brands X., Brouwer M. C., Vermeij J. D., et al. (2021). Disruptions of anaerobic gut bacteria are associated with stroke and post-stroke infection: A prospective case-control study. Transl. Stroke Res. 12 581–592. 10.1007/s12975-020-00863-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
Hanscom M., Loane D. J., Shea-Donohue T. (2021). Brain-gut axis dysfunction in the pathogenesis of traumatic brain injury. J. Clin. Invest. 131:e143777. 10.1172/JCI143777 [DOI] [PMC free article] [PubMed] [Google Scholar]
Harach T., Marungruang N., Duthilleul N., Cheatham V., Mc Coy K. D., Frisoni G., et al. (2017). Reduction of Abeta amyloid pathology in APPPS1 transgenic mice in the absence of gut microbiota. Sci. Rep. 7:41802. 10.1038/srep46856 [DOI] [PMC free article] [PubMed] [Google Scholar]
Hawkins R. A., Williamson D. H., Krebs H. A. (1971). Ketone-body utilization by adult and suckling rat brain in vivo. Biochem. J. 122 13–18. 10.1042/bj1220013 [DOI] [PMC free article] [PubMed] [Google Scholar]
Herpich F., Rincon F. (2020). Management of acute ischemic stroke. Crit. Care Med. 48 1654–1663. 10.1097/CCM.0000000000004597 [DOI] [PMC free article] [PubMed] [Google Scholar]
Hill C., Guarner F., Reid G., Gibson G. R., Merenstein D. J., Pot B., et al. (2014). Expert consensus document. The international scientific association for probiotics and prebiotics consensus statement on the scope and appropriate use of the term probiotic. Nat. Rev. Gastroenterol. Hepatol. 11 506–514. 10.1038/nrgastro.2014.66 [DOI] [PubMed] [Google Scholar]
Hoane M. R., Swan A. A., Heck S. E. (2011). The effects of a high-fat sucrose diet on functional outcome following cortical contusion injury in the rat. Behav. Brain Res. 223 119–124. 10.1016/j.bbr.2011.04.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
Hou Y., Xu L., Song S., Fan W., Wu Q., Tong X., et al. (2021). Oral administration of brain protein combined with probiotics induces immune tolerance through the tryptophan pathway. Front. Mol. Neurosci. 14:634631. 10.3389/fnmol.2021.634631 [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
Hou Y. F., Shan C., Zhuang S. Y., Zhuang Q. Q., Ghosh A., Zhu K. C., et al. (2021). Gut microbiota-derived propionate mediates the neuroprotective effect of osteocalcin in a mouse model of Parkinson’s disease. Microbiome 9:34. 10.1186/s40168-020-00988-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
Houlden A., Goldrick M., Brough D., Vizi E. S., Lenart N., Martinecz B., et al. (2016). Brain injury induces specific changes in the caecal microbiota of mice via altered autonomic activity and mucoprotein production. Brain Behav. Immun. 57 10–20. 10.1016/j.bbi.2016.04.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
Howard B. M., Kornblith L. Z., Christie S. A., Conroy A. S., Nelson M. F., Campion E. M., et al. (2017). Characterizing the gut microbiome in trauma: Significant changes in microbial diversity occur early after severe injury. Trauma Surg. Acute Care Open 2:e000108. 10.1136/tsaco-2017-000108 [DOI] [PMC free article] [PubMed] [Google Scholar]
Hu Y., Tao W. (2021). Microenvironmental variations after blood-brain barrier breakdown in traumatic brain injury. Front. Mol. Neurosci. 14:750810. 10.3389/fnmol.2021.750810 [DOI] [PMC free article] [PubMed] [Google Scholar]
Huang Q., Di L., Yu F., Feng X., Liu Z., Wei M., et al. (2022). Alterations in the gut microbiome with hemorrhagic transformation in experimental stroke. CNS Neurosci. Ther. 28 77–91. 10.1111/cns.13736 [DOI] [PMC free article] [PubMed] [Google Scholar]
Iaccarino C., Carretta A., Nicolosi F., Morselli C. (2018). Epidemiology of severe traumatic brain injury. J. Neurosurg. Sci. 62 535–541. 10.23736/S0390-5616.18.04532-0 [DOI] [PubMed] [Google Scholar]
Jogia T., Ruitenberg M. J. (2020). Traumatic spinal cord injury and the gut microbiota: Current insights and future challenges. Front. Immunol. 11:704. 10.3389/fimmu.2020.00704 [DOI] [PMC free article] [PubMed] [Google Scholar]
Juan J., Liu G., Willett W. C., Hu F. B., Rexrode K. M., Sun Q. (2017). Whole grain consumption and risk of ischemic stroke: Results from 2 prospective cohort studies. Stroke 48 3203–3209. 10.1161/STROKEAHA.117.018979 [DOI] [PMC free article] [PubMed] [Google Scholar]
Kawai T., Akira S. (2010). The role of pattern-recognition receptors in innate immunity: Update on Toll-like receptors. Nat. Immunol. 11 373–384. 10.1038/ni.1863 [DOI] [PubMed] [Google Scholar]
Kelly C. R., Ihunnah C., Fischer M., Khoruts A., Surawicz C., Afzali A., et al. (2014). Fecal microbiota transplant for treatment of Clostridium difficile infection in immunocompromised patients. Am. J. Gastroenterol. 109 1065–1071. 10.1038/ajg.2014.133 [DOI] [PMC free article] [PubMed] [Google Scholar]
Keshavarzian A., Green S. J., Engen P. A., Voigt R. M., Naqib A., Forsyth C. B., et al. (2015). Colonic bacterial composition in Parkinson’s disease. Mov. Disord. 30 1351–1360. 10.1002/mds.26307 [DOI] [PubMed] [Google Scholar]
Kigerl K. A., Mostacada K., Popovich P. G. (2018). Gut microbiota are disease-modifying factors after traumatic spinal cord injury. Neurotherapeutics 15 60–67. 10.1007/s13311-017-0583-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
Kim D. Y., Hao J., Liu R., Turner G., Shi F. D., Rho J. M. (2012). Inflammation-mediated memory dysfunction and effects of a ketogenic diet in a murine model of multiple sclerosis. PLoS One 7:e35476. 10.1371/journal.pone.0035476 [DOI] [PMC free article] [PubMed] [Google Scholar]
Klimiec E., Pera J., Chrzanowska-Wasko J., Golenia A., Slowik A., Dziedzic T. (2016). Plasma endotoxin activity rises during ischemic stroke and is associated with worse short-term outcome. J. Neuroimmunol. 297 76–80. 10.1016/j.jneuroim.2016.05.006 [DOI] [PubMed] [Google Scholar]
Koiv L., Merisalu E., Zilmer K., Tomberg T., Kaasik A. E. (1997). Changes of sympatho-adrenal and hypothalamo-pituitary-adrenocortical system in patients with head injury. Acta Neurol. Scand. 96 52–58. 10.1111/j.1600-0404.1997.tb00238.x [DOI] [PubMed] [Google Scholar]
Kong G., Huang Z., Ji W., Wang X., Liu J., Wu X., et al. (2017). The ketone metabolite beta-hydroxybutyrate attenuates oxidative stress in spinal cord injury by suppression of class I histone deacetylases. J. Neurotrauma 34 2645–2655. 10.1089/neu.2017.5192 [DOI] [PubMed] [Google Scholar]
Kurita N., Yamashiro K., Kuroki T., Tanaka R., Urabe T., Ueno Y., et al. (2020). Metabolic endotoxemia promotes neuroinflammation after focal cerebral ischemia. J. Cereb. Blood Flow Metab. 40 2505–2520. 10.1177/0271678X19899577 [DOI] [PMC free article] [PubMed] [Google Scholar]
Lavasani S., Dzhambazov B., Nouri M., Fak F., Buske S., Molin G., et al. (2010). A novel probiotic mixture exerts a therapeutic effect on experimental autoimmune encephalomyelitis mediated by IL-10 producing regulatory T cells. PLoS One 5:e9009. 10.1371/journal.pone.0009009 [DOI] [PMC free article] [PubMed] [Google Scholar]
Lee Y. K., Menezes J. S., Umesaki Y., Mazmanian S. K. (2011). Proinflammatory T-cell responses to gut microbiota promote experimental autoimmune encephalomyelitis. Proc. Natl. Acad. Sci. U.S.A. 108 (Suppl. 1), 4615–4622. 10.1073/pnas.1000082107 [DOI] [PMC free article] [PubMed] [Google Scholar]
Leino R. L., Gerhart D. Z., Duelli R., Enerson B. E., Drewes L. R. (2001). Diet-induced ketosis increases monocarboxylate transporter (MCT1) levels in rat brain. Neurochem. Int. 38 519–527. 10.1016/S0197-0186(00)00102-9 [DOI] [PubMed] [Google Scholar]
Lemke D. M. (2004). Riding out the storm: Sympathetic storming after traumatic brain injury. J. Neurosci. Nurs. 36 4–9. 10.1097/01376517-200402000-00002 [DOI] [PubMed] [Google Scholar]
Lepeta K., Lourenco M. V., Schweitzer B. C., Martino Adami P. V., Banerjee P., Catuara-Solarz S., et al. (2016). Synaptopathies: Synaptic dysfunction in neurological disorders - A review from students to students. J. Neurochem. 138 785–805. 10.1111/jnc.13713 [DOI] [PMC free article] [PubMed] [Google Scholar]
Li H., Zhang X., Pan D., Liu Y., Yan X., Tang Y., et al. (2020). Dysbiosis characteristics of gut microbiota in cerebral infarction patients. Transl. Neurosci. 11 124–133. 10.1515/tnsci-2020-0117 [DOI] [PMC free article] [PubMed] [Google Scholar]
Li X. J., You X. Y., Wang C. Y., Li X. L., Sheng Y. Y., Zhuang P. W., et al. (2020). Bidirectional brain-gut-microbiota axis in increased intestinal permeability induced by central nervous system injury. CNS Neurosci. Ther. 26 783–790. 10.1111/cns.13401 [DOI] [PMC free article] [PubMed] [Google Scholar]
Li Z., Quan G., Jiang X., Yang Y., Ding X., Zhang D., et al. (2018). Effects of metabolites derived from gut microbiota and hosts on pathogens. Front. Cell. Infect. Microbiol. 8:314. 10.3389/fcimb.2018.00314 [DOI] [PMC free article] [PubMed] [Google Scholar]
Lindefeldt M., Eng A., Darban H., Bjerkner A., Zetterstrom C. K., Allander T., et al. (2019). The ketogenic diet influences taxonomic and functional composition of the gut microbiota in children with severe epilepsy. NPJ Biofilms Microbiomes 5:5. 10.1038/s41522-018-0073-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
Liu J., Sun J., Wang F., Yu X., Ling Z., Li H., et al. (2015). Neuroprotective effects of clostridium butyricum against vascular dementia in mice via metabolic butyrate. Biomed Res. Int. 2015:412946. 10.1155/2015/412946 [DOI] [PMC free article] [PubMed] [Google Scholar]
Liu X., Cao S., Zhang X. (2015). Modulation of gut microbiota-brain axis by probiotics, prebiotics, and diet. J. Agric. Food Chem. 63 7885–7895. 10.1021/acs.jafc.5b02404 [DOI] [PubMed] [Google Scholar]
Lochhead J. J., Ronaldson P. T., Davis T. P. (2017). Hypoxic stress and inflammatory pain disrupt blood-brain barrier tight junctions: Implications for drug delivery to the central nervous system. AAPS J. 19 910–920. 10.1208/s12248-017-0076-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
Lum G. R., Olson C. A., Hsiao E. Y. (2020). Emerging roles for the intestinal microbiome in epilepsy. Neurobiol. Dis. 135:104576. 10.1016/j.nbd.2019.104576 [DOI] [PubMed] [Google Scholar]
Ma D., Wang A. C., Parikh I., Green S. J., Hoffman J. D., Chlipala G., et al. (2018). Ketogenic diet enhances neurovascular function with altered gut microbiome in young healthy mice. Sci. Rep. 8:6670. 10.1038/s41598-018-25190-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
Ma E. L., Smith A. D., Desai N., Cheung L., Hanscom M., Stoica B. A., et al. (2017). Bidirectional brain-gut interactions and chronic pathological changes after traumatic brain injury in mice. Brain Behav. Immun. 66 56–69. 10.1016/j.bbi.2017.06.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
Ma Q., Xing C., Long W., Wang H. Y., Liu Q., Wang R. F. (2019). Impact of microbiota on central nervous system and neurological diseases: The gut-brain axis. J. Neuroinflammation 16:53. 10.1186/s12974-019-1434-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
Ma S., Suzuki K. (2019). Keto-adaptation and endurance exercise capacity, fatigue recovery, and exercise-induced muscle and organ damage prevention: A narrative review. Sports 7:40. 10.3390/sports7020040 [DOI] [PMC free article] [PubMed] [Google Scholar]
Macrez R., Ali C., Toutirais O., Le Mauff B., Defer G., Dirnagl U., et al. (2011). Stroke and the immune system: From pathophysiology to new therapeutic strategies. Lancet Neurol. 10 471–480. 10.1016/S1474-4422(11)70066-7 [DOI] [PubMed] [Google Scholar]
Mahajan C., Khurana S., Kapoor I., Sokhal S., Kumar S., Prabhakar H., et al. (2021). Characteristics of gut microbiome after traumatic brain injury. J. Neurosurg. Anesthesiol. [Epub ahead of print]. 10.1097/ANA.0000000000000789 [DOI] [PubMed] [Google Scholar]
Mangalam A., Shahi S. K., Luckey D., Karau M., Marietta E., Luo N., et al. (2017). Human gut-derived commensal bacteria suppress CNS inflammatory and demyelinating disease. Cell Rep. 20 1269–1277. 10.1016/j.celrep.2017.07.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
Manor O., Dai C. L., Kornilov S. A., Smith B., Price N. D., Lovejoy J. C., et al. (2020). Health and disease markers correlate with gut microbiome composition across thousands of people. Nat. Commun. 11:5206. 10.1038/s41467-020-18871-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
Manson J., Thiemermann C., Brohi K. (2012). Trauma alarmins as activators of damage-induced inflammation. Br. J. Surg. 99 (Suppl. 1), 12–20. 10.1002/bjs.7717 [DOI] [PubMed] [Google Scholar]
Martin-McGill K. J., Bresnahan R., Levy R. G., Cooper P. N. (2020). Ketogenic diets for drug-resistant epilepsy. Cochrane Database Syst. Rev. 6:CD001903. 10.1002/14651858.CD001903.pub5 [DOI] [PMC free article] [PubMed] [Google Scholar]
Matt S. M., Allen J. M., Lawson M. A., Mailing L. J., Woods J. A., Johnson R. W. (2018). Butyrate and dietary soluble fiber improve neuroinflammation associated with aging in mice. Front. Immunol. 9:1832. 10.3389/fimmu.2018.01832 [DOI] [PMC free article] [PubMed] [Google Scholar]
McDonald S. J., Sharkey J. M., Sun M., Kaukas L. M., Shultz S. R., Turner R. J., et al. (2020). Beyond the brain: Peripheral interactions after traumatic brain injury. J. Neurotrauma 37 770–781. 10.1089/neu.2019.6885 [DOI] [PubMed] [Google Scholar]
McDonald T. J. W., Henry-Barron B. J., Felton E. A., Gutierrez E. G., Barnett J., Fisher R., et al. (2018). Improving compliance in adults with epilepsy on a modified Atkins diet: A randomized trial. Seizure 60 132–138. 10.1016/j.seizure.2018.06.019 [DOI] [PubMed] [Google Scholar]
Meddings J. B., Swain M. G. (2000). Environmental stress-induced gastrointestinal permeability is mediated by endogenous glucocorticoids in the rat. Gastroenterology 119 1019–1028. 10.1053/gast.2000.18152 [DOI] [PubMed] [Google Scholar]
Medel-Matus J. S., Shin D., Dorfman E., Sankar R., Mazarati A. (2018). Facilitation of kindling epileptogenesis by chronic stress may be mediated by intestinal microbiome. Epilepsia Open 3 290–294. 10.1002/epi4.12114 [DOI] [PMC free article] [PubMed] [Google Scholar]
Mehrian-Shai R., Reichardt J. K. V., Harris C. C., Toren A. (2019). The gut-brain axis, paving the way to brain cancer. Trends Cancer 5 200–207. 10.1016/j.trecan.2019.02.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
Milder J. B., Liang L. P., Patel M. (2010). Acute oxidative stress and systemic Nrf2 activation by the ketogenic diet. Neurobiol. Dis. 40 238–244. 10.1016/j.nbd.2010.05.030 [DOI] [PMC free article] [PubMed] [Google Scholar]
Minter M. R., Zhang C., Leone V., Ringus D. L., Zhang X., Oyler-Castrillo P., et al. (2016). Antibiotic-induced perturbations in gut microbial diversity influences neuro-inflammation and amyloidosis in a murine model of Alzheimer’s disease. Sci. Rep. 6:30028. 10.1038/srep30028 [DOI] [PMC free article] [PubMed] [Google Scholar]
Mirzaei R., Bouzari B., Hosseini-Fard S. R., Mazaheri M., Ahmadyousefi Y., Abdi M., et al. (2021). Role of microbiota-derived short-chain fatty acids in nervous system disorders. Biomed. Pharmacother. 139:111661. 10.1016/j.biopha.2021.111661 [DOI] [PubMed] [Google Scholar]
Morrison D. J., Preston T. (2016). Formation of short chain fatty acids by the gut microbiota and their impact on human metabolism. Gut Microbes 7 189–200. 10.1080/19490976.2015.1134082 [DOI] [PMC free article] [PubMed] [Google Scholar]
Nagpal R., Neth B. J., Wang S., Craft S., Yadav H. (2019). Modified mediterranean-ketogenic diet modulates gut microbiome and short-chain fatty acids in association with Alzheimer’s disease markers in subjects with mild cognitive impairment. EBioMedicine 47 529–542. 10.1016/j.ebiom.2019.08.032 [DOI] [PMC free article] [PubMed] [Google Scholar]
Nagpal R., Neth B. J., Wang S., Mishra S. P., Craft S., Yadav H. (2020). Gut mycobiome and its interaction with diet, gut bacteria and alzheimer’s disease markers in subjects with mild cognitive impairment: A pilot study. EBioMedicine 59:102950. 10.1016/j.ebiom.2020.102950 [DOI] [PMC free article] [PubMed] [Google Scholar]
Ngo S. T., Restuadi R., McCrae A. F., Van Eijk R. P., Garton F., Henderson R. D., et al. (2020). Progression and survival of patients with motor neuron disease relative to their fecal microbiota. Amyotroph. Lateral Scler. Frontotemporal Degener. 21 549–562. 10.1080/21678421.2020.1772825 [DOI] [PubMed] [Google Scholar]
Nicholson S. E., Watts L. T., Burmeister D. M., Merrill D., Scroggins S., Zou Y., et al. (2019). Moderate traumatic brain injury alters the gastrointestinal microbiome in a time-dependent manner. Shock 52 240–248. 10.1097/SHK.0000000000001211 [DOI] [PubMed] [Google Scholar]
Obrenovich M. E. M. (2018). Leaky gut, leaky brain? Microorganisms 6:107. 10.3390/microorganisms6040107 [DOI] [PMC free article] [PubMed] [Google Scholar]
O’Callaghan J. P., Sriram K., Miller D. B. (2008). Defining “neuroinflammation”. Ann. N. Y. Acad. Sci. 1139 318–330. 10.1196/annals.1432.032 [DOI] [PubMed] [Google Scholar]
Ochoa-Reparaz J., Mielcarz D. W., Ditrio L. E., Burroughs A. R., Begum-Haque S., Dasgupta S., et al. (2010). Central nervous system demyelinating disease protection by the human commensal Bacteroides fragilis depends on polysaccharide A expression. J. Immunol. 185 4101–4108. 10.4049/jimmunol.1001443 [DOI] [PubMed] [Google Scholar]
O’Connell M. T., Seal A., Nortje J., Al-Rawi P. G., Coles J. P., Fryer T. D., et al. (2005). Glucose metabolism in traumatic brain injury: A combined microdialysis and [18F]-2-fluoro-2-deoxy-D-glucose-positron emission tomography (FDG-PET) study. Acta Neurochir. Suppl. 95 165–168. 10.1007/3-211-32318-X_35 [DOI] [PubMed] [Google Scholar]
Olson C. A., Vuong H. E., Yano J. M., Liang Q. Y., Nusbaum D. J., Hsiao E. Y. (2018). The gut microbiota mediates the anti-seizure effects of the ketogenic diet. Cell 173 1728–1741.e13. 10.1016/j.cell.2018.04.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
Owen O. E., Morgan A. P., Kemp H. G., Sullivan J. M., Herrera M. G., Cahill G. F., Jr. (1967). Brain metabolism during fasting. J. Clin. Invest. 46 1589–1595. 10.1172/JCI105650 [DOI] [PMC free article] [PubMed] [Google Scholar]
Pathare N., Sushilkumar S., Haley L., Jain S., Osier N. N. (2020). The impact of traumatic brain injury on microbiome composition: A systematic review. Biol. Res. Nurs. 22 495–505. 10.1177/1099800420943961 [DOI] [PubMed] [Google Scholar]
Patrizz A., Dono A., Zorofchian S., Hines G., Takayasu T., Husein N., et al. (2020). Glioma and temozolomide induced alterations in gut microbiome. Sci. Rep. 10:21002. 10.1038/s41598-020-77919-w [DOI] [PMC free article] [PubMed] [Google Scholar]
Pearn M. L., Niesman I. R., Egawa J., Sawada A., Almenar-Queralt A., Shah S. B., et al. (2017). Pathophysiology associated with traumatic brain injury: Current treatments and potential novel therapeutics. Cell. Mol. Neurobiol. 37 571–585. 10.1007/s10571-016-0400-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
Pellegrini C., Antonioli L., Calderone V., Colucci R., Fornai M., Blandizzi C. (2020). Microbiota-gut-brain axis in health and disease: Is NLRP3 inflammasome at the crossroads of microbiota-gut-brain communications? Prog. Neurobiol. 191:101806. 10.1016/j.pneurobio.2020.101806 [DOI] [PubMed] [Google Scholar]
Peng A., Qiu X., Lai W., Li W., Zhang L., Zhu X., et al. (2018). Altered composition of the gut microbiome in patients with drug-resistant epilepsy. Epilepsy Res. 147 102–107. 10.1016/j.eplepsyres.2018.09.013 [DOI] [PubMed] [Google Scholar]
Petridis A. K., Kamp M. A., Cornelius J. F., Beez T., Beseoglu K., Turowski B., et al. (2017). Aneurysmal Subarachnoid Hemorrhage. Dtsch. Arztebl. Int. 114 226–236. 10.3238/arztebl.2017.0226 [DOI] [PMC free article] [PubMed] [Google Scholar]
Phillips M. C. L., Deprez L. M., Mortimer G. M. N., Murtagh D. K. J., McCoy S., Mylchreest R., et al. (2021). Randomized crossover trial of a modified ketogenic diet in Alzheimer’s disease. Alzheimers Res. Ther. 13:51. 10.1186/s13195-021-00783-x [DOI] [PMC free article] [PubMed] [Google Scholar]
Phillips M. C. L., Murtagh D. K. J., Gilbertson L. J., Asztely F. J. S., Lynch C. D. P. (2018). Low-fat versus ketogenic diet in Parkinson’s disease: A pilot randomized controlled trial. Mov. Disord. 33 1306–1314. 10.1002/mds.27390 [DOI] [PMC free article] [PubMed] [Google Scholar]
Pietrzak D., Kasperek K., Rekawek P., Piatkowska-Chmiel I. (2022). The therapeutic role of ketogenic diet in neurological disorders. Nutrients 14:1952. 10.3390/nu14091952 [DOI] [PMC free article] [PubMed] [Google Scholar]
Pondel N., Liskiewicz D., Liskiewicz A. (2020). Ketogenic diet - mechanism of action and perspectives for the use in the therapy: Data from clinical studies. Postepy Biochem. 66 270–286. [DOI] [PubMed] [Google Scholar]
Preiningerova J. L., Jiraskova Zakostelska Z., Srinivasan A., Ticha V., Kovarova I., Kleinova P., et al. (2022). Multiple Sclerosis and Microbiome. Biomolecules 12:433. 10.3390/biom12030433 [DOI] [PMC free article] [PubMed] [Google Scholar]
Prins M., Greco T., Alexander D., Giza C. C. (2013). The pathophysiology of traumatic brain injury at a glance. Dis. Model Mech. 6 1307–1315. 10.1242/dmm.011585 [DOI] [PMC free article] [PubMed] [Google Scholar]
Prins M. L. (2008). Cerebral metabolic adaptation and ketone metabolism after brain injury. J. Cereb. Blood Flow Metab. 28 1–16. 10.1038/sj.jcbfm.9600543 [DOI] [PMC free article] [PubMed] [Google Scholar]
Prins M. L., Lee S. M., Fujima L. S., Hovda D. A. (2004). Increased cerebral uptake and oxidation of exogenous betaHB improves ATP following traumatic brain injury in adult rats. J. Neurochem. 90 666–672. 10.1111/j.1471-4159.2004.02542.x [DOI] [PubMed] [Google Scholar]
Puig K. L., Floden A. M., Adhikari R., Golovko M. Y., Combs C. K. (2012). Amyloid precursor protein and proinflammatory changes are regulated in brain and adipose tissue in a murine model of high fat diet-induced obesity. PLoS One 7:e30378. 10.1371/journal.pone.0030378 [DOI] [PMC free article] [PubMed] [Google Scholar]
Qiao G., Lv T., Zhang M., Chen P., Sun Q., Zhang J., et al. (2020). beta-hydroxybutyrate (beta-HB) exerts anti-inflammatory and antioxidant effects in lipopolysaccharide (LPS)-stimulated macrophages in Liza haematocheila. Fish Shellfish Immunol. 107(Pt B), 444–451. 10.1016/j.fsi.2020.11.005 [DOI] [PubMed] [Google Scholar]
Quigley E. M. M. (2017). Microbiota-brain-gut axis and neurodegenerative diseases. Curr. Neurol. Neurosci. Rep. 17:94. 10.1007/s11910-017-0802-6 [DOI] [PubMed] [Google Scholar]
Riazi K., Galic M. A., Kuzmiski J. B., Ho W., Sharkey K. A., Pittman Q. J. (2008). Microglial activation and TNFalpha production mediate altered CNS excitability following peripheral inflammation. Proc. Natl. Acad. Sci. U.S.A. 105 17151–17156. 10.1073/pnas.0806682105 [DOI] [PMC free article] [PubMed] [Google Scholar]
Rice M. W., Pandya J. D., Shear D. A. (2019). Gut microbiota as a therapeutic target to ameliorate the biochemical, neuroanatomical, and behavioral effects of traumatic brain injuries. Front. Neurol. 10:875. 10.3389/fneur.2019.00875 [DOI] [PMC free article] [PubMed] [Google Scholar]
Roman G. C., Jackson R. E., Gadhia R., Roman A. N., Reis J. (2019). Mediterranean diet: The role of long-chain omega-3 fatty acids in fish; polyphenols in fruits, vegetables, cereals, coffee, tea, cacao and wine; probiotics and vitamins in prevention of stroke, age-related cognitive decline, and Alzheimer disease. Rev. Neurol. 175 724–741. 10.1016/j.neurol.2019.08.005 [DOI] [PubMed] [Google Scholar]
Rosner M. J., Newsome H. H., Becker D. P. (1984). Mechanical brain injury: The sympathoadrenal response. J. Neurosurg. 61 76–86. 10.3171/jns.1984.61.1.0076 [DOI] [PubMed] [Google Scholar]
Routy B., Le Chatelier E., Derosa L., Duong C. P. M., Alou M. T., Daillere R., et al. (2018). Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors. Science 359 91–97. 10.1126/science.aan3706 [DOI] [PubMed] [Google Scholar]
Rowin J., Xia Y., Jung B., Sun J. (2017). Gut inflammation and dysbiosis in human motor neuron disease. Physiol. Rep. 5:e13443. 10.14814/phy2.13443 [DOI] [PMC free article] [PubMed] [Google Scholar]
Royes L. F. F., Gomez-Pinilla F. (2019). Making sense of gut feelings in the traumatic brain injury pathogenesis. Neurosci. Biobehav. Rev. 102 345–361. 10.1016/j.neubiorev.2019.05.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
Sahathevan R., Brodtmann A., Donnan G. A. (2012). Dementia, stroke, and vascular risk factors; a review. Int. J. Stroke 7 61–73. 10.1111/j.1747-4949.2011.00731.x [DOI] [PubMed] [Google Scholar]
Salazar N., Lopez P., Valdes L., Margolles A., Suarez A., Patterson A. M., et al. (2013). Microbial targets for the development of functional foods accordingly with nutritional and immune parameters altered in the elderly. J. Am. Coll. Nutr. 32 399–406. 10.1080/07315724.2013.827047 [DOI] [PubMed] [Google Scholar]
Salazar N., Valdes-Varela L., Gonzalez S., Gueimonde M., de Los Reyes-Gavilan C. G. (2017). Nutrition and the gut microbiome in the elderly. Gut Microbes 8 82–97. 10.1080/19490976.2016.1256525 [DOI] [PMC free article] [PubMed] [Google Scholar]
Schain M., Kreisl W. C. (2017). Neuroinflammation in neurodegenerative disorders-a review. Curr. Neurol. Neurosci. Rep. 17:25. 10.1007/s11910-017-0733-2 [DOI] [PubMed] [Google Scholar]
Scheperjans F., Aho V., Pereira P. A., Koskinen K., Paulin L., Pekkonen E., et al. (2015). Gut microbiota are related to Parkinson’s disease and clinical phenotype. Mov. Disord. 30 350–358. 10.1002/mds.26069 [DOI] [PubMed] [Google Scholar]
Schiffrin E. J., Morley J. E., Donnet-Hughes A., Guigoz Y. (2010). The inflammatory status of the elderly: The intestinal contribution. Mutat. Res. 690 50–56. 10.1016/j.mrfmmm.2009.07.011 [DOI] [PubMed] [Google Scholar]
Shaafi S., Sharifi-Bonab M., Ghaemian N., Mokhtarkhani M., Akbari H. (2019). Early motor-behavioral outcome of ischemic stroke with ketogenic diet preconditioning: Interventional animal study. J. Stroke Cerebrovasc. Dis. 28 1032–1039. 10.1016/j.jstrokecerebrovasdis.2018.12.024 [DOI] [PubMed] [Google Scholar]
Shahrokhi N., Khaksari M., Soltani Z., Mahmoodi M., Nakhaee N. (2010). Effect of sex steroid hormones on brain edema, intracranial pressure, and neurologic outcomes after traumatic brain injury. Can. J. Physiol. Pharmacol. 88 414–421. 10.1139/Y09-126 [DOI] [PubMed] [Google Scholar]
Shao B. Z., Cao Q., Liu C. (2018). Targeting NLRP3 inflammasome in the treatment of CNS diseases. Front. Mol. Neurosci. 11:320. 10.3389/fnmol.2018.00320 [DOI] [PMC free article] [PubMed] [Google Scholar]
Shen L., Liu L., Ji H. F. (2017). Alzheimer’s disease histological and behavioral manifestations in transgenic mice correlate with specific gut microbiome state. J. Alzheimers Dis. 56 385–390. 10.3233/JAD-160884 [DOI] [PubMed] [Google Scholar]
Sherman M., Liu M. M., Birnbaum S., Wolf S. E., Minei J. P., Gatson J. W. (2016). Adult obese mice suffer from chronic secondary brain injury after mild TBI. J. Neuroinflammation 13:171. 10.1186/s12974-016-0641-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
Shichita T., Hasegawa E., Kimura A., Morita R., Sakaguchi R., Takada I., et al. (2012). Peroxiredoxin family proteins are key initiators of post-ischemic inflammation in the brain. Nat. Med. 18 911–917. 10.1038/nm.2749 [DOI] [PubMed] [Google Scholar]
Shichita T., Sugiyama Y., Ooboshi H., Sugimori H., Nakagawa R., Takada I., et al. (2009). Pivotal role of cerebral interleukin-17-producing gammadeltaT cells in the delayed phase of ischemic brain injury. Nat. Med. 15 946–950. 10.1038/nm.1999 [DOI] [PubMed] [Google Scholar]
Shikata F., Shimada K., Sato H., Ikedo T., Kuwabara A., Furukawa H., et al. (2019). Potential influences of gut microbiota on the formation of intracranial aneurysm. Hypertension 73 491–496. 10.1161/HYPERTENSIONAHA.118.11804 [DOI] [PMC free article] [PubMed] [Google Scholar]
Shin N. R., Whon T. W., Bae J. W. (2015). Proteobacteria: Microbial signature of dysbiosis in gut microbiota. Trends Biotechnol. 33 496–503. 10.1016/j.tibtech.2015.06.011 [DOI] [PubMed] [Google Scholar]
Shukla P. K., Delotterie D. F., Xiao J., Pierre J. F., Rao R., McDonald M. P., et al. (2021). Alterations in the gut-microbial-inflammasome-brain axis in a mouse model of Alzheimer’s disease. Cells 10:779. 10.3390/cells10040779 [DOI] [PMC free article] [PubMed] [Google Scholar]
Simon D. W., McGeachy M. J., Bayir H., Clark R. S., Loane D. J., Kochanek P. M. (2017). The far-reaching scope of neuroinflammation after traumatic brain injury. Nat. Rev. Neurol. 13 171–191. 10.1038/nrneurol.2017.13 [DOI] [PMC free article] [PubMed] [Google Scholar]
Singh V., Roth S., Llovera G., Sadler R., Garzetti D., Stecher B., et al. (2016). Microbiota dysbiosis controls the neuroinflammatory response after stroke. J. Neurosci. 36 7428–7440. 10.1523/JNEUROSCI.1114-16.2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
Sivan A., Corrales L., Hubert N., Williams J. B., Aquino-Michaels K., Earley Z. M., et al. (2015). Commensal Bifidobacterium promotes antitumor immunity and facilitates anti-PD-L1 efficacy. Science 350 1084–1089. 10.1126/science.aac4255 [DOI] [PMC free article] [PubMed] [Google Scholar]
Soria Lopez J. A., Gonzalez H. M., Leger G. C. (2019). Alzheimer’s disease. Handb. Clin. Neurol. 167 231–255. 10.1016/B978-0-12-804766-8.00013-3 [DOI] [PubMed] [Google Scholar]
Storoni M., Plant G. T. (2015). The therapeutic potential of the ketogenic diet in treating progressive multiple sclerosis. Mult. Scler. Int. 2015:681289. 10.1155/2015/681289 [DOI] [PMC free article] [PubMed] [Google Scholar]
Streijger F., Plunet W. T., Lee J. H., Liu J., Lam C. K., Park S., et al. (2013). Ketogenic diet improves forelimb motor function after spinal cord injury in rodents. PLoS One 8:e78765. 10.1371/journal.pone.0078765 [DOI] [PMC free article] [PubMed] [Google Scholar]
Surawicz C. M., Brandt L. J., Binion D. G., Ananthakrishnan A. N., Curry S. R., Gilligan P. H., et al. (2013). Guidelines for diagnosis, treatment, and prevention of Clostridium difficile infections. Am. J. Gastroenterol. 108 478–498; quiz499. 10.1038/ajg.2013.4 [DOI] [PubMed] [Google Scholar]
Swidsinski A., Dorffel Y., Loening-Baucke V., Gille C., Goktas O., Reisshauer A., et al. (2017). Reduced mass and diversity of the colonic microbiome in patients with multiple sclerosis and their improvement with ketogenic diet. Front. Microbiol. 8:1141. 10.3389/fmicb.2017.01141 [DOI] [PMC free article] [PubMed] [Google Scholar]
Tai K. K., Nguyen N., Pham L., Truong D. D. (2008). Ketogenic diet prevents cardiac arrest-induced cerebral ischemic neurodegeneration. J. Neural Transm 115 1011–1017. 10.1007/s00702-008-0050-7 [DOI] [PubMed] [Google Scholar]
Takewaki D., Suda W., Sato W., Takayasu L., Kumar N., Kimura K., et al. (2020). Alterations of the gut ecological and functional microenvironment in different stages of multiple sclerosis. Proc. Natl. Acad. Sci. U.S.A. 117 22402–22412. 10.1073/pnas.2011703117 [DOI] [PMC free article] [PubMed] [Google Scholar]
Tan B. Y. Q., Paliwal P. R., Sharma V. K. (2020). Gut microbiota and stroke. Ann. Indian Acad. Neurol. 23 155–158. [DOI] [PMC free article] [PubMed] [Google Scholar]
Tan C., Wu Q., Wang H., Gao X., Xu R., Cui Z., et al. (2021). Dysbiosis of gut microbiota and short-chain fatty acids in acute ischemic stroke and the subsequent risk for poor functional outcomes. JPEN J. Parenter. Enteral Nutr. 45 518–529. 10.1002/jpen.1861 [DOI] [PMC free article] [PubMed] [Google Scholar]
Tankou S. K., Regev K., Healy B. C., Cox L. M., Tjon E., Kivisakk P., et al. (2018a). Investigation of probiotics in multiple sclerosis. Mult. Scler. 24 58–63. 10.1177/1352458517737390 [DOI] [PubMed] [Google Scholar]
Tankou S. K., Regev K., Healy B. C., Tjon E., Laghi L., Cox L. M., et al. (2018b). A probiotic modulates the microbiome and immunity in multiple sclerosis. Ann. Neurol. 83 1147–1161. 10.1002/ana.25244 [DOI] [PMC free article] [PubMed] [Google Scholar]
Taylor M. K., Sullivan D. K., Mahnken J. D., Burns J. M., Swerdlow R. H. (2018). Feasibility and efficacy data from a ketogenic diet intervention in Alzheimer’s disease. Alzheimers Dement. 4 28–36. 10.1016/j.trci.2017.11.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
Tobin R. P., Mukherjee S., Kain J. M., Rogers S. K., Henderson S. K., Motal H. L., et al. (2014). Traumatic brain injury causes selective, CD74-dependent peripheral lymphocyte activation that exacerbates neurodegeneration. Acta Neuropathol. Commun. 2:143. 10.1186/s40478-014-0143-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
Tomkins O., Feintuch A., Benifla M., Cohen A., Friedman A., Shelef I. (2011). Blood-brain barrier breakdown following traumatic brain injury: A possible role in posttraumatic epilepsy. Cardiovasc. Psychiatry Neurol. 2011:765923. 10.1155/2011/765923 [DOI] [PMC free article] [PubMed] [Google Scholar]
Treangen T. J., Wagner J., Burns M. P., Villapol S. (2018). Traumatic brain injury in mice induces acute bacterial dysbiosis within the fecal microbiome. Front. Immunol. 9:2757. 10.3389/fimmu.2018.02757 [DOI] [PMC free article] [PubMed] [Google Scholar]
Tremblay M. E., Stevens B., Sierra A., Wake H., Bessis A., Nimmerjahn A. (2011). The role of microglia in the healthy brain. J. Neurosci. 31 16064–16069. 10.1523/JNEUROSCI.4158-11.2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
Tremlett H., Fadrosh D. W., Faruqi A. A., Hart J., Roalstad S., Graves J., et al. (2016). Gut microbiota composition and relapse risk in pediatric MS: A pilot study. J. Neurol. Sci. 363 153–157. 10.1016/j.jns.2016.02.042 [DOI] [PMC free article] [PubMed] [Google Scholar]
Tseng M. T., Chan S. A., Schurr A. (2003). Ischemia-induced changes in monocarboxylate transporter 1 reactive cells in rat hippocampus. Neurol. Res. 25 83–86. 10.1179/016164103101200978 [DOI] [PubMed] [Google Scholar]
Ueda A., Shinkai S., Shiroma H., Taniguchi Y., Tsuchida S., Kariya T., et al. (2021). Identification of Faecalibacterium prausnitzii strains for gut microbiome-based intervention in Alzheimer’s-type dementia. Cell Rep. Med. 2:100398. 10.1016/j.xcrm.2021.100398 [DOI] [PMC free article] [PubMed] [Google Scholar]
Urban R. J., Pyles R. B., Stewart C. J., Ajami N., Randolph K. M., Durham W. J., et al. (2020). Altered fecal microbiome years after traumatic brain injury. J. Neurotrauma 37 1037–1051. 10.1089/neu.2019.6688 [DOI] [PubMed] [Google Scholar]
Vangay P., Ward T., Gerber J. S., Knights D. (2015). Antibiotics, pediatric dysbiosis, and disease. Cell Host Microbe 17 553–564. 10.1016/j.chom.2015.04.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
Vannucci S. J., Simpson I. A. (2003). Developmental switch in brain nutrient transporter expression in the rat. Am. J. Physiol. Endocrinol. Metab. 285 E1127–E1134. 10.1152/ajpendo.00187.2003 [DOI] [PubMed] [Google Scholar]
Vogt N. M., Kerby R. L., Dill-McFarland K. A., Harding S. J., Merluzzi A. P., Johnson S. C., et al. (2017). Gut microbiome alterations in Alzheimer’s disease. Sci. Rep. 7:13537. 10.1038/s41598-017-13601-y [DOI] [PMC free article] [PubMed] [Google Scholar]
Walczyk T., Wick J. Y. (2017). The ketogenic diet: Making a comeback. Consult Pharm. 32 388–396. 10.4140/TCP.n.2017.388 [DOI] [PubMed] [Google Scholar]
Wanchao S., Chen M., Zhiguo S., Futang X., Mengmeng S. (2018). Protective effect and mechanism of Lactobacillus on cerebral ischemia reperfusion injury in rats. Braz. J. Med. Biol. Res. 51:e7172. 10.1590/1414-431x20187172 [DOI] [PMC free article] [PubMed] [Google Scholar]
Wang H. X., Wang Y. P. (2016). Gut microbiota-brain axis. Chin. Med. J. 129 2373–2380. 10.4103/0366-6999.190667 [DOI] [PMC free article] [PubMed] [Google Scholar]
Wang J. W., Kuo C. H., Kuo F. C., Wang Y. K., Hsu W. H., Yu F. J., et al. (2019). Fecal microbiota transplantation: Review and update. J. Formos Med. Assoc. 118 (Suppl. 1), S23–S31. 10.1016/j.jfma.2018.08.011 [DOI] [PubMed] [Google Scholar]
Wang Y., Guo S. Z., Bonen A., Li R. C., Kheirandish-Gozal L., Zhang S. X., et al. (2011). Monocarboxylate transporter 2 and stroke severity in a rodent model of sleep apnea. J. Neurosci. 31 10241–10248. 10.1523/JNEUROSCI.1462-11.2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
Wei Y., Yang J., Wang J., Yang Y., Huang J., Gong H., et al. (2016). Successful treatment with fecal microbiota transplantation in patients with multiple organ dysfunction syndrome and diarrhea following severe sepsis. Crit. Care 20:332. 10.1186/s13054-016-1491-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
Weller M., Wick W., Aldape K., Brada M., Berger M., Pfister S. M., et al. (2015). Glioma. Nat. Rev. Dis. Primers 1:15017. 10.1038/nrdp.2015.17 [DOI] [PubMed] [Google Scholar]
Wen S. W., Wong C. H. Y. (2017). An unexplored brain-gut microbiota axis in stroke. Gut Microbes 8 601–606. 10.1080/19490976.2017.1344809 [DOI] [PMC free article] [PubMed] [Google Scholar]
Wheless J. W. (2008). History of the ketogenic diet. Epilepsia 49 (Suppl. 8), 3–5. 10.1111/j.1528-1167.2008.01821.x [DOI] [PubMed] [Google Scholar]
White H., Venkatesh B. (2011). Clinical review: Ketones and brain injury. Crit. Care 15 219. 10.1186/cc10020 [DOI] [PMC free article] [PubMed] [Google Scholar]
White H., Venkatesh B., Jones M., Kruger P. S., Walsham J., Fuentes H. (2020). Inducing ketogenesis via an enteral formulation in patients with acute brain injury:a phase II study. Neurol. Res. 42 275–285. 10.1080/01616412.2019.1709743 [DOI] [PubMed] [Google Scholar]
Winkler E. A., Minter D., Yue J. K., Manley G. T. (2016). Cerebral edema in traumatic brain injury: Pathophysiology and prospective therapeutic targets. Neurosurg. Clin. N. Am. 27 473–488. 10.1016/j.nec.2016.05.008 [DOI] [PubMed] [Google Scholar]
Woodburn S. C., Bollinger J. L., Wohleb E. S. (2021). The semantics of microglia activation: Neuroinflammation, homeostasis, and stress. J. Neuroinflammation 18:258. 10.1186/s12974-021-02309-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
Wu A., Molteni R., Ying Z., Gomez-Pinilla F. (2003). A saturated-fat diet aggravates the outcome of traumatic brain injury on hippocampal plasticity and cognitive function by reducing brain-derived neurotrophic factor. Neuroscience 119 365–375. 10.1016/S0306-4522(03)00154-4 [DOI] [PubMed] [Google Scholar]
Wu G. D., Chen J., Hoffmann C., Bittinger K., Chen Y. Y., Keilbaugh S. A., et al. (2011). Linking long-term dietary patterns with gut microbial enterotypes. Science 334 105–108. 10.1126/science.1208344 [DOI] [PMC free article] [PubMed] [Google Scholar]
Wu H., Chiou J. (2021). Potential benefits of probiotics and prebiotics for coronary heart disease and stroke. Nutrients 13:2878. 10.3390/nu13082878 [DOI] [PMC free article] [PubMed] [Google Scholar]
Xie G., Zhou Q., Qiu C. Z., Dai W. K., Wang H. P., Li Y. H., et al. (2017). Ketogenic diet poses a significant effect on imbalanced gut microbiota in infants with refractory epilepsy. World J. Gastroenterol. 23 6164–6171. 10.3748/wjg.v23.i33.6164 [DOI] [PMC free article] [PubMed] [Google Scholar]
Yamashiro K., Tanaka R., Urabe T., Ueno Y., Yamashiro Y., Nomoto K., et al. (2017). Gut dysbiosis is associated with metabolism and systemic inflammation in patients with ischemic stroke. PLoS One 12:e0171521. 10.1371/journal.pone.0171521 [DOI] [PMC free article] [PubMed] [Google Scholar]
Yang X., Cheng B. (2010). Neuroprotective and anti-inflammatory activities of ketogenic diet on MPTP-induced neurotoxicity. J. Mol. Neurosci. 42 145–153. 10.1007/s12031-010-9336-y [DOI] [PubMed] [Google Scholar]
Yarandi S. S., Peterson D. A., Treisman G. J., Moran T. H., Pasricha P. J. (2016). Modulatory effects of gut microbiota on the central nervous system: How gut could play a role in neuropsychiatric health and diseases. J. Neurogastroenterol. Motil. 22 201–212. 10.5056/jnm15146 [DOI] [PMC free article] [PubMed] [Google Scholar]
Yatsunenko T., Rey F. E., Manary M. J., Trehan I., Dominguez-Bello M. G., Contreras M., et al. (2012). Human gut microbiome viewed across age and geography. Nature 486 222–227. 10.1038/nature11053 [DOI] [PMC free article] [PubMed] [Google Scholar]
Yeom J. S., Park J. S., Kim Y. S., Kim R. B., Choi D. S., Chung J. Y., et al. (2019). Neonatal seizures and white matter injury: Role of rotavirus infection and probiotics. Brain Dev. 41 19–28. 10.1016/j.braindev.2018.07.001 [DOI] [PubMed] [Google Scholar]
Yin J., Liao S. X., He Y., Wang S., Xia G. H., Liu F. T., et al. (2015). Dysbiosis of gut microbiota with reduced trimethylamine-N-oxide level in patients with large-artery atherosclerotic stroke or transient ischemic attack. J. Am. Heart Assoc. 4:e002699. 10.1161/JAHA.115.002699 [DOI] [PMC free article] [PubMed] [Google Scholar]
You W., Zhu Y., Wei A., Du J., Wang Y., Zheng P., et al. (2022). Traumatic brain injury induces gastrointestinal dysfunction and dysbiosis of gut microbiota accompanied by alterations of bile acid profile. J. Neurotrauma 39 227–237. 10.1089/neu.2020.7526 [DOI] [PubMed] [Google Scholar]
Youm Y. H., Nguyen K. Y., Grant R. W., Goldberg E. L., Bodogai M., Kim D., et al. (2015). The ketone metabolite beta-hydroxybutyrate blocks NLRP3 inflammasome-mediated inflammatory disease. Nat. Med. 21 263–269. 10.1038/nm.3804 [DOI] [PMC free article] [PubMed] [Google Scholar]
Yu X., Zhang R., Wei C., Gao Y., Yu Y., Wang L., et al. (2021a). MCT2 overexpression promotes recovery of cognitive function by increasing mitochondrial biogenesis in a rat model of stroke. Anim. Cells Syst. 25 93–101. 10.1080/19768354.2021.1915379 [DOI] [PMC free article] [PubMed] [Google Scholar]
Yu X., Zhou G., Shao B., Zhou H., Xu C., Yan F., et al. (2021b). Gut microbiota dysbiosis induced by intracerebral hemorrhage aggravates neuroinflammation in mice. Front. Microbiol. 12:647304. 10.3389/fmicb.2021.647304 [DOI] [PMC free article] [PubMed] [Google Scholar]
Yue Q., Cai M., Xiao B., Zhan Q., Zeng C. A. (2021). High-tryptophan diet reduces seizure-induced respiratory arrest and alters the gut microbiota in DBA/1 mice. Front. Neurol. 12:762323. 10.3389/fneur.2021.762323 [DOI] [PMC free article] [PubMed] [Google Scholar]
Yurista S. R., Chong C. R., Badimon J. J., Kelly D. P., de Boer R. A., Westenbrink B. D. (2021). Therapeutic potential of ketone bodies for patients with cardiovascular disease: JACC state-of-the-art review. J. Am. Coll. Cardiol. 77 1660–1669. 10.1016/j.jacc.2020.12.065 [DOI] [PubMed] [Google Scholar]
Zeng Q., Shen J., Chen K., Zhou J., Liao Q., Lu K., et al. (2020). The alteration of gut microbiome and metabolism in amyotrophic lateral sclerosis patients. Sci. Rep. 10:12998. 10.1038/s41598-020-69845-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
Zhai Q., Sun T., Sun C., Yan L., Wang X., Wang Y., et al. (2021). High plasma levels of trimethylamine N-oxide are associated with poor outcome in intracerebral hemorrhage patients. Neurol. Sci. 42 1009–1016. 10.1007/s10072-020-04618-9 [DOI] [PubMed] [Google Scholar]
Zhan X., Stamova B., Sharp F. R. (2018). Lipopolysaccharide associates with amyloid plaques, neurons and oligodendrocytes in Alzheimer’s disease brain: A review. Front. Aging Neurosci. 10:42. 10.3389/fnagi.2018.00042 [DOI] [PMC free article] [PubMed] [Google Scholar]
Zhang F., Vannucci S. J., Philp N. J., Simpson I. A. (2005). Monocarboxylate transporter expression in the spontaneous hypertensive rat: Effect of stroke. J. Neurosci. Res. 79 139–145. 10.1002/jnr.20312 [DOI] [PubMed] [Google Scholar]
Zhang H., Huang Y., Li X., Han X., Hu J., Wang B., et al. (2021). Dynamic process of secondary pulmonary infection in mice with intracerebral hemorrhage. Front. Immunol. 12:767155. 10.3389/fimmu.2021.767155 [DOI] [PMC free article] [PubMed] [Google Scholar]
Zhang Y., Kuang Y., Xu K., Harris D., Lee Z., LaManna J., et al. (2013). Ketosis proportionately spares glucose utilization in brain. J. Cereb. Blood Flow Metab. 33 1307–1311. 10.1038/jcbfm.2013.87 [DOI] [PMC free article] [PubMed] [Google Scholar]
Zhang Y., Zhou S., Zhou Y., Yu L., Zhang L., Wang Y. (2018). Altered gut microbiome composition in children with refractory epilepsy after ketogenic diet. Epilepsy Res. 145 163–168. 10.1016/j.eplepsyres.2018.06.015 [DOI] [PubMed] [Google Scholar]
Zhang Y. G., Wu S., Yi J., Xia Y., Jin D., Zhou J., et al. (2017). Target intestinal microbiota to alleviate disease progression in amyotrophic lateral sclerosis. Clin. Ther. 39 322–336. 10.1016/j.clinthera.2016.12.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
Zhao X., Sun G., Zhang H., Ting S. M., Song S., Gonzales N., et al. (2014). Polymorphonuclear neutrophil in brain parenchyma after experimental intracerebral hemorrhage. Transl. Stroke Res. 5 554–561. 10.1007/s12975-014-0341-2 [DOI] [PubMed] [Google Scholar]
Zhao Z., Lange D. J., Voustianiouk A., MacGrogan D., Ho L., Suh J., et al. (2006). A ketogenic diet as a potential novel therapeutic intervention in amyotrophic lateral sclerosis. BMC Neurosci. 7:29. 10.1186/1471-2202-7-29 [DOI] [PMC free article] [PubMed] [Google Scholar]
Zhu C. S., Grandhi R., Patterson T. T., Nicholson S. E. (2018). A review of traumatic brain injury and the gut microbiome: Insights into novel mechanisms of secondary brain injury and promising targets for neuroprotection. Brain Sci. 8:113. 10.3390/brainsci8060113 [DOI] [PMC free article] [PubMed] [Google Scholar]
Zhu H., Bi D., Zhang Y., Kong C., Du J., Wu X., et al. (2022). Ketogenic diet for human diseases: The underlying mechanisms and potential for clinical implementations. Signal Transduct. Target. Ther. 7:11. 10.1038/s41392-021-00831-w [DOI] [PMC free article] [PubMed] [Google Scholar]
Zhu H., Wang Z., Yu J., Yang X., He F., Liu Z., et al. (2019). Role and mechanisms of cytokines in the secondary brain injury after intracerebral hemorrhage. Prog. Neurobiol. 178:101610. 10.1016/j.pneurobio.2019.03.003 [DOI] [PubMed] [Google Scholar]
Zhu W., Romano K. A., Li L., Buffa J. A., Sangwan N., Prakash P., et al. (2021). Gut microbes impact stroke severity via the trimethylamine N-oxide pathway. Cell Host Microbe 29 1199–1208.e5. 10.1016/j.chom.2021.05.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
Zhu X., Li B., Lou P., Dai T., Chen Y., Zhuge A., et al. (2021). The relationship between the gut microbiome and neurodegenerative diseases. Neurosci. Bull. 37 1510–1522. 10.1007/s12264-021-00730-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
Zhuang Z. Q., Shen L. L., Li W. W., Fu X., Zeng F., Gui L., et al. (2018). Gut microbiota is altered in patients with Alzheimer’s disease. J. Alzheimers Dis. 63 1337–1346. 10.3233/JAD-180176 [DOI] [PubMed] [Google Scholar]
Zilberter Y., Zilberter T. (2020). Glucose-sparing action of ketones boosts functions exclusive to glucose in the brain. eNeuro 7:ENEURO.0303-20.2020. 10.1523/ENEURO.0303-20.2020 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B1] Adriansjach J., Baum S. T., Lefkowitz E. J., Van Der Pol W. J., Buford T. W., Colman R. J. (2020). Age-related differences in the gut microbiome of Rhesus macaques. J. Gerontol. A Biol. Sci. Med. Sci. 75 1293–1298. 10.1093/gerona/glaa048 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B2] Agrawal M., Aroniadis O. C., Brandt L. J., Kelly C., Freeman S., Surawicz C., et al. (2016). The long-term efficacy and safety of fecal microbiota transplant for recurrent, severe, and complicated clostridium difficile infection in 146 elderly individuals. J. Clin. Gastroenterol. 50 403–407. 10.1097/MCG.0000000000000410 [DOI] [PubMed] [Google Scholar]

[B3] Agrawal R., Noble E., Vergnes L., Ying Z., Reue K., Gomez-Pinilla F. (2016). Dietary fructose aggravates the pathobiology of traumatic brain injury by influencing energy homeostasis and plasticity. J. Cereb. Blood Flow Metab. 36 941–953. 10.1177/0271678X15606719 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B4] Akhoundzadeh K., Vakili A., Shadnoush M., Sadeghzadeh J. (2018). Effects of the oral ingestion of probiotics on brain damage in a transient model of focal cerebral ischemia in mice. Iran J. Med. Sci. 43 32–40. [PMC free article] [PubMed] [Google Scholar]

[B5] Ari C., Poff A. M., Held H. E., Landon C. S., Goldhagen C. R., Mavromates N., et al. (2014). Metabolic therapy with deanna protocol supplementation delays disease progression and extends survival in amyotrophic lateral sclerosis (ALS) mouse model. PLoS One 9:e103526. 10.1371/journal.pone.0103526 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B6] Arumugam M., Raes J., Pelletier E., Le Paslier D., Yamada T., Mende D. R., et al. (2011). Enterotypes of the human gut microbiome. Nature 473 174–180. 10.1038/nature09944 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B7] Arumugam T. V., Granger D. N., Mattson M. P. (2005). Stroke and T-cells. Neuromol. Med. 7 229–242. 10.1385/NMM:7:3:229 [DOI] [PubMed] [Google Scholar]

[B8] Arya A. K., Hu B. (2018). Brain-gut axis after stroke. Brain Circ. 4 165–173. 10.4103/bc.bc_32_18 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B9] Aune D., Giovannucci E., Boffetta P., Fadnes L. T., Keum N., Norat T., et al. (2017). Fruit and vegetable intake and the risk of cardiovascular disease, total cancer and all-cause mortality-a systematic review and dose-response meta-analysis of prospective studies. Int. J. Epidemiol. 46 1029–1056. 10.1093/ije/dyw319 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B10] Bahr L. S., Bock M., Liebscher D., Bellmann-Strobl J., Franz L., Pruss A., et al. (2020). Ketogenic diet and fasting diet as Nutritional Approaches in Multiple Sclerosis (NAMS): Protocol of a randomized controlled study. Trials 21:3. 10.1186/s13063-019-3928-9 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B11] Bairamian D., Sha S., Rolhion N., Sokol H., Dorothee G., Lemere C. A., et al. (2022). Microbiota in neuroinflammation and synaptic dysfunction: A focus on Alzheimer’s disease. Mol. Neurodegener. 17:19. 10.1186/s13024-022-00522-2 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B12] Ballabh P., Braun A., Nedergaard M. (2004). The blood-brain barrier: An overview: Structure, regulation, and clinical implications. Neurobiol. Dis. 16 1–13. 10.1016/j.nbd.2003.12.016 [DOI] [PubMed] [Google Scholar]

[B13] Ballway J. W., Song B. J. (2021). Translational approaches with antioxidant phytochemicals against alcohol-mediated oxidative stress, gut dysbiosis, intestinal barrier dysfunction, and fatty liver disease. Antioxidants 10:384. 10.3390/antiox10030384 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B14] Benakis C., Brea D., Caballero S., Faraco G., Moore J., Murphy M., et al. (2016). Commensal microbiota affects ischemic stroke outcome by regulating intestinal gammadelta T cells. Nat. Med. 22 516–523. 10.1038/nm.4068 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B15] Benjamin E. J., Muntner P., Alonso A., Bittencourt M. S., Callaway C. W., Carson A. P., et al. (2019). Heart disease and stroke statistics-2019 update: A report from the american heart association. Circulation 139 e56–e528. 10.1161/CIR.0000000000000659 [DOI] [PubMed] [Google Scholar]

[B16] Bentourkia M., Tremblay S., Pifferi F., Rousseau J., Lecomte R., Cunnane S. (2009). PET study of 11C-acetoacetate kinetics in rat brain during dietary treatments affecting ketosis. Am. J. Physiol. Endocrinol. Metab. 296 E796–E801. 10.1152/ajpendo.90644.2008 [DOI] [PubMed] [Google Scholar]

[B17] Berer K., Gerdes L. A., Cekanaviciute E., Jia X., Xiao L., Xia Z., et al. (2017). Gut microbiota from multiple sclerosis patients enables spontaneous autoimmune encephalomyelitis in mice. Proc. Natl. Acad. Sci. U.S.A. 114 10719–10724. 10.1073/pnas.1711233114 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B18] Berer K., Mues M., Koutrolos M., Rasbi Z. A., Boziki M., Johner C., et al. (2011). Commensal microbiota and myelin autoantigen cooperate to trigger autoimmune demyelination. Nature 479 538–541. 10.1038/nature10554 [DOI] [PubMed] [Google Scholar]

[B19] Biagi E., Candela M., Franceschi C., Brigidi P. (2011). The aging gut microbiota: New perspectives. Ageing Res. Rev. 10 428–429. 10.1016/j.arr.2011.03.004 [DOI] [PubMed] [Google Scholar]

[B20] Biagi E., Nylund L., Candela M., Ostan R., Bucci L., Pini E., et al. (2010). Through ageing, and beyond: Gut microbiota and inflammatory status in seniors and centenarians. PLoS One 5:e10667. 10.1371/journal.pone.0010667 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B21] Blacher E., Bashiardes S., Shapiro H., Rothschild D., Mor U., Dori-Bachash M., et al. (2019). Potential roles of gut microbiome and metabolites in modulating ALS in mice. Nature 572 474–480. 10.1038/s41586-019-1443-5 [DOI] [PubMed] [Google Scholar]

[B22] Blennow K., Hardy J., Zetterberg H. (2012). The neuropathology and neurobiology of traumatic brain injury. Neuron 76 886–899. 10.1016/j.neuron.2012.11.021 [DOI] [PubMed] [Google Scholar]

[B23] Boddy S. L., Giovannelli I., Sassani M., Cooper-Knock J., Snyder M. P., Segal E., et al. (2021). The gut microbiome: A key player in the complexity of amyotrophic lateral sclerosis (ALS). BMC Med. 19:13. 10.1186/s12916-020-01885-3 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B24] Bourassa M. W., Alim I., Bultman S. J., Ratan R. R. (2016). Butyrate, neuroepigenetics and the gut microbiome: Can a high fiber diet improve brain health? Neurosci. Lett. 625 56–63. 10.1016/j.neulet.2016.02.009 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B25] Braakman H. M. H., van Ingen J. (2018). Can epilepsy be treated by antibiotics? J. Neurol. 265 1934–1936. 10.1007/s00415-018-8943-3 [DOI] [PubMed] [Google Scholar]

[B26] Braniste V., Al-Asmakh M., Kowal C., Anuar F., Abbaspour A., Toth M., et al. (2014). The gut microbiota influences blood-brain barrier permeability in mice. Sci. Transl. Med. 6:263ra158. 10.1126/scitranslmed.3009759 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B27] Burberry A., Wells M. F., Limone F., Couto A., Smith K. S., Keaney J., et al. (2020). C9orf72 suppresses systemic and neural inflammation induced by gut bacteria. Nature 582 89–94. 10.1038/s41586-020-2288-7 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B28] Camara-Lemarroy C. R., Ibarra-Yruegas B. E., Gongora-Rivera F. (2014). Gastrointestinal complications after ischemic stroke. J. Neurol. Sci. 346 20–25. 10.1016/j.jns.2014.08.027 [DOI] [PubMed] [Google Scholar]

[B29] Cannon J. P., Lee T. A., Clark N. M., Setlak P., Grim S. A. (2014). The risk of seizures among the carbapenems: A meta-analysis. J. Antimicrob. Chemother. 69 2043–2055. 10.1093/jac/dku111 [DOI] [PubMed] [Google Scholar]

[B30] Caso J. R., Hurtado O., Pereira M. P., Garcia-Bueno B., Menchen L., Alou L., et al. (2009). Colonic bacterial translocation as a possible factor in stress-worsening experimental stroke outcome. Am. J. Physiol. Regul. Integr. Comp. Physiol. 296 R979–R985. 10.1152/ajpregu.90825.2008 [DOI] [PubMed] [Google Scholar]

[B31] Cattaneo A., Cattane N., Galluzzi S., Provasi S., Lopizzo N., Festari C., et al. (2017). Association of brain amyloidosis with pro-inflammatory gut bacterial taxa and peripheral inflammation markers in cognitively impaired elderly. Neurobiol. Aging 49 60–68. 10.1016/j.neurobiolaging.2016.08.019 [DOI] [PubMed] [Google Scholar]

[B32] Chen J., Chia N., Kalari K. R., Yao J. Z., Novotna M., Paz Soldan M. M., et al. (2016). Multiple sclerosis patients have a distinct gut microbiota compared to healthy controls. Sci. Rep. 6:28484. 10.1038/srep28484 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B33] Chio A., Logroscino G., Hardiman O., Swingler R., Mitchell D., Beghi E., et al. (2009). Prognostic factors in ALS: A critical review. Amyotroph. Lateral Scler. 10 310–323. 10.3109/17482960802566824 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B34] Clarke G., Grenham S., Scully P., Fitzgerald P., Moloney R. D., Shanahan F., et al. (2013). The microbiome-gut-brain axis during early life regulates the hippocampal serotonergic system in a sex-dependent manner. Mol. Psychiatry 18 666–673. 10.1038/mp.2012.77 [DOI] [PubMed] [Google Scholar]

[B35] Corps K. N., Roth T. L., McGavern D. B. (2015). Inflammation and neuroprotection in traumatic brain injury. JAMA Neurol. 72 355–362. 10.1001/jamaneurol.2014.3558 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B36] D’Alessandro G., Antonangeli F., Marrocco F., Porzia A., Lauro C., Santoni A., et al. (2020). Gut microbiota alterations affect glioma growth and innate immune cells involved in tumor immunosurveillance in mice. Eur. J. Immunol. 50 705–711. 10.1002/eji.201948354 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B37] De Caro C., Leo A., Nesci V., Ghelardini C., di Cesare Mannelli L., Striano P., et al. (2019). Intestinal inflammation increases convulsant activity and reduces antiepileptic drug efficacy in a mouse model of epilepsy. Sci. Rep. 9:13983. 10.1038/s41598-019-50542-0 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B38] Di Gioia D., Bozzi Cionci N., Baffoni L., Amoruso A., Pane M., Mogna L., et al. (2020). A prospective longitudinal study on the microbiota composition in amyotrophic lateral sclerosis. BMC Med. 18:153. 10.1186/s12916-020-01607-9 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B39] Dinan T. G., Cryan J. F. (2017). The microbiome-gut-brain axis in health and disease. Gastroenterol. Clin. North Am. 46 77–89. 10.1016/j.gtc.2016.09.007 [DOI] [PubMed] [Google Scholar]

[B40] Dominguez-Bello M. G., Costello E. K., Contreras M., Magris M., Hidalgo G., Fierer N., et al. (2010). Delivery mode shapes the acquisition and structure of the initial microbiota across multiple body habitats in newborns. Proc. Natl. Acad. Sci. U.S.A. 107 11971–11975. 10.1073/pnas.1002601107 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B41] Dono A., Nickles J., Rodriguez-Armendariz A. G., McFarland B. C., Ajami N. J., Ballester L. Y., et al. (2022). Glioma and the gut-brain axis: Opportunities and future perspectives. Neurooncol. Adv. 4:vdac054. 10.1093/noajnl/vdac054 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B42] Dono A., Patrizz A., McCormack R. M., Putluri N., Ganesh B. P., Kaur B., et al. (2020). Glioma induced alterations in fecal short-chain fatty acids and neurotransmitters. CNS Oncol. 9:CNS57. 10.2217/cns-2020-0007 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B43] Duan X., Wen Z., Shen H., Shen M., Chen G. (2016). Intracerebral hemorrhage, oxidative stress, and antioxidant therapy. Oxid. Med. Cell. Longev. 2016:1203285. 10.1155/2016/1203285 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B44] Estes M. L., McAllister A. K. (2014). Alterations in immune cells and mediators in the brain: It’s not always neuroinflammation! Brain Pathol. 24 623–630. 10.1111/bpa.12198 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B45] Estruch R., Ros E., Salas-Salvado J., Covas M. I., Corella D., Aros F., et al. (2018). Primary prevention of cardiovascular disease with a mediterranean diet supplemented with extra-virgin olive oil or nuts. N. Engl. J. Med. 378:e34. 10.1056/NEJMoa1800389 [DOI] [PubMed] [Google Scholar]

[B46] Fan Y., Su Q., Chen J., Wang Y., He S. (2022). Gut microbiome alterations affect glioma development and Foxp3 expression in tumor microenvironment in mice. Front. Oncol. 12:836953. 10.3389/fonc.2022.836953 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B47] Fanaei H., Karimian S. M., Sadeghipour H. R., Hassanzade G., Kasaeian A., Attari F., et al. (2014). Testosterone enhances functional recovery after stroke through promotion of antioxidant defenses, BDNF levels and neurogenesis in male rats. Brain Res. 1558 74–83. 10.1016/j.brainres.2014.02.028 [DOI] [PubMed] [Google Scholar]

[B48] Fang X., Wang X., Yang S., Meng F., Wang X., Wei H., et al. (2016). Evaluation of the microbial diversity in amyotrophic lateral sclerosis using high-throughput sequencing. Front. Microbiol. 7:1479. 10.3389/fmicb.2016.01479 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B49] Farzi A., Frohlich E. E., Holzer P. (2018). Gut microbiota and the neuroendocrine system. Neurotherapeutics 15 5–22. 10.1007/s13311-017-0600-5 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B50] Felice V. D., Quigley E. M., Sullivan A. M., O’Keeffe G. W., O’Mahony S. M. (2016). Microbiota-gut-brain signalling in Parkinson’s disease: Implications for non-motor symptoms. Parkinsonism Relat. Disord. 27 1–8. 10.1016/j.parkreldis.2016.03.012 [DOI] [PubMed] [Google Scholar]

[B51] Filpa V., Moro E., Protasoni M., Crema F., Frigo G., Giaroni C. (2016). Role of glutamatergic neurotransmission in the enteric nervous system and brain-gut axis in health and disease. Neuropharmacology 111 14–33. 10.1016/j.neuropharm.2016.08.024 [DOI] [PubMed] [Google Scholar]

[B52] Fouhy F., Ross R. P., Fitzgerald G. F., Stanton C., Cotter P. D. (2012). Composition of the early intestinal microbiota: Knowledge, knowledge gaps and the use of high-throughput sequencing to address these gaps. Gut Microbes 3 203–220. 10.4161/gmic.20169 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B53] Fung T. C., Olson C. A., Hsiao E. Y. (2017). Interactions between the microbiota, immune and nervous systems in health and disease. Nat. Neurosci. 20 145–155. 10.1038/nn.4476 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B54] Gomez-Eguilaz M., Ramon-Trapero J. L., Perez-Martinez L., Blanco J. R. (2018). The beneficial effect of probiotics as a supplementary treatment in drug-resistant epilepsy: A pilot study. Benef. Microbes 9 875–881. 10.3920/BM2018.0018 [DOI] [PubMed] [Google Scholar]

[B55] Gorjifard S., Goldszmid R. S. (2016). Microbiota-myeloid cell crosstalk beyond the gut. J. Leukoc. Biol. 100 865–879. 10.1189/jlb.3RI0516-222R [DOI] [PMC free article] [PubMed] [Google Scholar]

[B56] Gough S. M., Casella A., Ortega K. J., Hackam A. S. (2021). Neuroprotection by the ketogenic diet: Evidence and controversies. Front. Nutr. 8:782657. 10.3389/fnut.2021.782657 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B57] Grosicki G. J., Fielding R. A., Lustgarten M. S. (2018). Gut microbiota contribute to age-related changes in skeletal muscle size, composition, and function: Biological basis for a gut-muscle axis. Calcif. Tissue Int. 102 433–442. 10.1007/s00223-017-0345-5 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B58] Gupta A., Khanna S. (2017). Fecal microbiota transplantation. JAMA 318:102. 10.1001/jama.2017.6466 [DOI] [PubMed] [Google Scholar]

[B59] Haak B. W., Westendorp W. F., van Engelen T. S. R., Brands X., Brouwer M. C., Vermeij J. D., et al. (2021). Disruptions of anaerobic gut bacteria are associated with stroke and post-stroke infection: A prospective case-control study. Transl. Stroke Res. 12 581–592. 10.1007/s12975-020-00863-4 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B60] Hanscom M., Loane D. J., Shea-Donohue T. (2021). Brain-gut axis dysfunction in the pathogenesis of traumatic brain injury. J. Clin. Invest. 131:e143777. 10.1172/JCI143777 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B61] Harach T., Marungruang N., Duthilleul N., Cheatham V., Mc Coy K. D., Frisoni G., et al. (2017). Reduction of Abeta amyloid pathology in APPPS1 transgenic mice in the absence of gut microbiota. Sci. Rep. 7:41802. 10.1038/srep46856 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B62] Hawkins R. A., Williamson D. H., Krebs H. A. (1971). Ketone-body utilization by adult and suckling rat brain in vivo. Biochem. J. 122 13–18. 10.1042/bj1220013 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B63] Herpich F., Rincon F. (2020). Management of acute ischemic stroke. Crit. Care Med. 48 1654–1663. 10.1097/CCM.0000000000004597 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B64] Hill C., Guarner F., Reid G., Gibson G. R., Merenstein D. J., Pot B., et al. (2014). Expert consensus document. The international scientific association for probiotics and prebiotics consensus statement on the scope and appropriate use of the term probiotic. Nat. Rev. Gastroenterol. Hepatol. 11 506–514. 10.1038/nrgastro.2014.66 [DOI] [PubMed] [Google Scholar]

[B65] Hoane M. R., Swan A. A., Heck S. E. (2011). The effects of a high-fat sucrose diet on functional outcome following cortical contusion injury in the rat. Behav. Brain Res. 223 119–124. 10.1016/j.bbr.2011.04.028 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B66] Hou Y., Xu L., Song S., Fan W., Wu Q., Tong X., et al. (2021). Oral administration of brain protein combined with probiotics induces immune tolerance through the tryptophan pathway. Front. Mol. Neurosci. 14:634631. 10.3389/fnmol.2021.634631 [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]

[B67] Hou Y. F., Shan C., Zhuang S. Y., Zhuang Q. Q., Ghosh A., Zhu K. C., et al. (2021). Gut microbiota-derived propionate mediates the neuroprotective effect of osteocalcin in a mouse model of Parkinson’s disease. Microbiome 9:34. 10.1186/s40168-020-00988-6 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B68] Houlden A., Goldrick M., Brough D., Vizi E. S., Lenart N., Martinecz B., et al. (2016). Brain injury induces specific changes in the caecal microbiota of mice via altered autonomic activity and mucoprotein production. Brain Behav. Immun. 57 10–20. 10.1016/j.bbi.2016.04.003 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B69] Howard B. M., Kornblith L. Z., Christie S. A., Conroy A. S., Nelson M. F., Campion E. M., et al. (2017). Characterizing the gut microbiome in trauma: Significant changes in microbial diversity occur early after severe injury. Trauma Surg. Acute Care Open 2:e000108. 10.1136/tsaco-2017-000108 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B70] Hu Y., Tao W. (2021). Microenvironmental variations after blood-brain barrier breakdown in traumatic brain injury. Front. Mol. Neurosci. 14:750810. 10.3389/fnmol.2021.750810 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B71] Huang Q., Di L., Yu F., Feng X., Liu Z., Wei M., et al. (2022). Alterations in the gut microbiome with hemorrhagic transformation in experimental stroke. CNS Neurosci. Ther. 28 77–91. 10.1111/cns.13736 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B72] Iaccarino C., Carretta A., Nicolosi F., Morselli C. (2018). Epidemiology of severe traumatic brain injury. J. Neurosurg. Sci. 62 535–541. 10.23736/S0390-5616.18.04532-0 [DOI] [PubMed] [Google Scholar]

[B73] Jogia T., Ruitenberg M. J. (2020). Traumatic spinal cord injury and the gut microbiota: Current insights and future challenges. Front. Immunol. 11:704. 10.3389/fimmu.2020.00704 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B74] Juan J., Liu G., Willett W. C., Hu F. B., Rexrode K. M., Sun Q. (2017). Whole grain consumption and risk of ischemic stroke: Results from 2 prospective cohort studies. Stroke 48 3203–3209. 10.1161/STROKEAHA.117.018979 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B75] Kawai T., Akira S. (2010). The role of pattern-recognition receptors in innate immunity: Update on Toll-like receptors. Nat. Immunol. 11 373–384. 10.1038/ni.1863 [DOI] [PubMed] [Google Scholar]

[B76] Kelly C. R., Ihunnah C., Fischer M., Khoruts A., Surawicz C., Afzali A., et al. (2014). Fecal microbiota transplant for treatment of Clostridium difficile infection in immunocompromised patients. Am. J. Gastroenterol. 109 1065–1071. 10.1038/ajg.2014.133 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B77] Keshavarzian A., Green S. J., Engen P. A., Voigt R. M., Naqib A., Forsyth C. B., et al. (2015). Colonic bacterial composition in Parkinson’s disease. Mov. Disord. 30 1351–1360. 10.1002/mds.26307 [DOI] [PubMed] [Google Scholar]

[B78] Kigerl K. A., Mostacada K., Popovich P. G. (2018). Gut microbiota are disease-modifying factors after traumatic spinal cord injury. Neurotherapeutics 15 60–67. 10.1007/s13311-017-0583-2 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B79] Kim D. Y., Hao J., Liu R., Turner G., Shi F. D., Rho J. M. (2012). Inflammation-mediated memory dysfunction and effects of a ketogenic diet in a murine model of multiple sclerosis. PLoS One 7:e35476. 10.1371/journal.pone.0035476 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B80] Klimiec E., Pera J., Chrzanowska-Wasko J., Golenia A., Slowik A., Dziedzic T. (2016). Plasma endotoxin activity rises during ischemic stroke and is associated with worse short-term outcome. J. Neuroimmunol. 297 76–80. 10.1016/j.jneuroim.2016.05.006 [DOI] [PubMed] [Google Scholar]

[B81] Koiv L., Merisalu E., Zilmer K., Tomberg T., Kaasik A. E. (1997). Changes of sympatho-adrenal and hypothalamo-pituitary-adrenocortical system in patients with head injury. Acta Neurol. Scand. 96 52–58. 10.1111/j.1600-0404.1997.tb00238.x [DOI] [PubMed] [Google Scholar]

[B82] Kong G., Huang Z., Ji W., Wang X., Liu J., Wu X., et al. (2017). The ketone metabolite beta-hydroxybutyrate attenuates oxidative stress in spinal cord injury by suppression of class I histone deacetylases. J. Neurotrauma 34 2645–2655. 10.1089/neu.2017.5192 [DOI] [PubMed] [Google Scholar]

[B83] Kurita N., Yamashiro K., Kuroki T., Tanaka R., Urabe T., Ueno Y., et al. (2020). Metabolic endotoxemia promotes neuroinflammation after focal cerebral ischemia. J. Cereb. Blood Flow Metab. 40 2505–2520. 10.1177/0271678X19899577 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B84] Lavasani S., Dzhambazov B., Nouri M., Fak F., Buske S., Molin G., et al. (2010). A novel probiotic mixture exerts a therapeutic effect on experimental autoimmune encephalomyelitis mediated by IL-10 producing regulatory T cells. PLoS One 5:e9009. 10.1371/journal.pone.0009009 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B85] Lee Y. K., Menezes J. S., Umesaki Y., Mazmanian S. K. (2011). Proinflammatory T-cell responses to gut microbiota promote experimental autoimmune encephalomyelitis. Proc. Natl. Acad. Sci. U.S.A. 108 (Suppl. 1), 4615–4622. 10.1073/pnas.1000082107 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B86] Leino R. L., Gerhart D. Z., Duelli R., Enerson B. E., Drewes L. R. (2001). Diet-induced ketosis increases monocarboxylate transporter (MCT1) levels in rat brain. Neurochem. Int. 38 519–527. 10.1016/S0197-0186(00)00102-9 [DOI] [PubMed] [Google Scholar]

[B87] Lemke D. M. (2004). Riding out the storm: Sympathetic storming after traumatic brain injury. J. Neurosci. Nurs. 36 4–9. 10.1097/01376517-200402000-00002 [DOI] [PubMed] [Google Scholar]

[B88] Lepeta K., Lourenco M. V., Schweitzer B. C., Martino Adami P. V., Banerjee P., Catuara-Solarz S., et al. (2016). Synaptopathies: Synaptic dysfunction in neurological disorders - A review from students to students. J. Neurochem. 138 785–805. 10.1111/jnc.13713 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B89] Li H., Zhang X., Pan D., Liu Y., Yan X., Tang Y., et al. (2020). Dysbiosis characteristics of gut microbiota in cerebral infarction patients. Transl. Neurosci. 11 124–133. 10.1515/tnsci-2020-0117 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B90] Li X. J., You X. Y., Wang C. Y., Li X. L., Sheng Y. Y., Zhuang P. W., et al. (2020). Bidirectional brain-gut-microbiota axis in increased intestinal permeability induced by central nervous system injury. CNS Neurosci. Ther. 26 783–790. 10.1111/cns.13401 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B91] Li Z., Quan G., Jiang X., Yang Y., Ding X., Zhang D., et al. (2018). Effects of metabolites derived from gut microbiota and hosts on pathogens. Front. Cell. Infect. Microbiol. 8:314. 10.3389/fcimb.2018.00314 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B92] Lindefeldt M., Eng A., Darban H., Bjerkner A., Zetterstrom C. K., Allander T., et al. (2019). The ketogenic diet influences taxonomic and functional composition of the gut microbiota in children with severe epilepsy. NPJ Biofilms Microbiomes 5:5. 10.1038/s41522-018-0073-2 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B93] Liu J., Sun J., Wang F., Yu X., Ling Z., Li H., et al. (2015). Neuroprotective effects of clostridium butyricum against vascular dementia in mice via metabolic butyrate. Biomed Res. Int. 2015:412946. 10.1155/2015/412946 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B94] Liu X., Cao S., Zhang X. (2015). Modulation of gut microbiota-brain axis by probiotics, prebiotics, and diet. J. Agric. Food Chem. 63 7885–7895. 10.1021/acs.jafc.5b02404 [DOI] [PubMed] [Google Scholar]

[B95] Lochhead J. J., Ronaldson P. T., Davis T. P. (2017). Hypoxic stress and inflammatory pain disrupt blood-brain barrier tight junctions: Implications for drug delivery to the central nervous system. AAPS J. 19 910–920. 10.1208/s12248-017-0076-6 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B96] Lum G. R., Olson C. A., Hsiao E. Y. (2020). Emerging roles for the intestinal microbiome in epilepsy. Neurobiol. Dis. 135:104576. 10.1016/j.nbd.2019.104576 [DOI] [PubMed] [Google Scholar]

[B97] Ma D., Wang A. C., Parikh I., Green S. J., Hoffman J. D., Chlipala G., et al. (2018). Ketogenic diet enhances neurovascular function with altered gut microbiome in young healthy mice. Sci. Rep. 8:6670. 10.1038/s41598-018-25190-5 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B98] Ma E. L., Smith A. D., Desai N., Cheung L., Hanscom M., Stoica B. A., et al. (2017). Bidirectional brain-gut interactions and chronic pathological changes after traumatic brain injury in mice. Brain Behav. Immun. 66 56–69. 10.1016/j.bbi.2017.06.018 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B99] Ma Q., Xing C., Long W., Wang H. Y., Liu Q., Wang R. F. (2019). Impact of microbiota on central nervous system and neurological diseases: The gut-brain axis. J. Neuroinflammation 16:53. 10.1186/s12974-019-1434-3 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B100] Ma S., Suzuki K. (2019). Keto-adaptation and endurance exercise capacity, fatigue recovery, and exercise-induced muscle and organ damage prevention: A narrative review. Sports 7:40. 10.3390/sports7020040 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B101] Macrez R., Ali C., Toutirais O., Le Mauff B., Defer G., Dirnagl U., et al. (2011). Stroke and the immune system: From pathophysiology to new therapeutic strategies. Lancet Neurol. 10 471–480. 10.1016/S1474-4422(11)70066-7 [DOI] [PubMed] [Google Scholar]

[B102] Mahajan C., Khurana S., Kapoor I., Sokhal S., Kumar S., Prabhakar H., et al. (2021). Characteristics of gut microbiome after traumatic brain injury. J. Neurosurg. Anesthesiol. [Epub ahead of print]. 10.1097/ANA.0000000000000789 [DOI] [PubMed] [Google Scholar]

[B103] Mangalam A., Shahi S. K., Luckey D., Karau M., Marietta E., Luo N., et al. (2017). Human gut-derived commensal bacteria suppress CNS inflammatory and demyelinating disease. Cell Rep. 20 1269–1277. 10.1016/j.celrep.2017.07.031 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B104] Manor O., Dai C. L., Kornilov S. A., Smith B., Price N. D., Lovejoy J. C., et al. (2020). Health and disease markers correlate with gut microbiome composition across thousands of people. Nat. Commun. 11:5206. 10.1038/s41467-020-18871-1 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B105] Manson J., Thiemermann C., Brohi K. (2012). Trauma alarmins as activators of damage-induced inflammation. Br. J. Surg. 99 (Suppl. 1), 12–20. 10.1002/bjs.7717 [DOI] [PubMed] [Google Scholar]

[B106] Martin-McGill K. J., Bresnahan R., Levy R. G., Cooper P. N. (2020). Ketogenic diets for drug-resistant epilepsy. Cochrane Database Syst. Rev. 6:CD001903. 10.1002/14651858.CD001903.pub5 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B107] Matt S. M., Allen J. M., Lawson M. A., Mailing L. J., Woods J. A., Johnson R. W. (2018). Butyrate and dietary soluble fiber improve neuroinflammation associated with aging in mice. Front. Immunol. 9:1832. 10.3389/fimmu.2018.01832 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B108] McDonald S. J., Sharkey J. M., Sun M., Kaukas L. M., Shultz S. R., Turner R. J., et al. (2020). Beyond the brain: Peripheral interactions after traumatic brain injury. J. Neurotrauma 37 770–781. 10.1089/neu.2019.6885 [DOI] [PubMed] [Google Scholar]

[B109] McDonald T. J. W., Henry-Barron B. J., Felton E. A., Gutierrez E. G., Barnett J., Fisher R., et al. (2018). Improving compliance in adults with epilepsy on a modified Atkins diet: A randomized trial. Seizure 60 132–138. 10.1016/j.seizure.2018.06.019 [DOI] [PubMed] [Google Scholar]

[B110] Meddings J. B., Swain M. G. (2000). Environmental stress-induced gastrointestinal permeability is mediated by endogenous glucocorticoids in the rat. Gastroenterology 119 1019–1028. 10.1053/gast.2000.18152 [DOI] [PubMed] [Google Scholar]

[B111] Medel-Matus J. S., Shin D., Dorfman E., Sankar R., Mazarati A. (2018). Facilitation of kindling epileptogenesis by chronic stress may be mediated by intestinal microbiome. Epilepsia Open 3 290–294. 10.1002/epi4.12114 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B112] Mehrian-Shai R., Reichardt J. K. V., Harris C. C., Toren A. (2019). The gut-brain axis, paving the way to brain cancer. Trends Cancer 5 200–207. 10.1016/j.trecan.2019.02.008 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B113] Milder J. B., Liang L. P., Patel M. (2010). Acute oxidative stress and systemic Nrf2 activation by the ketogenic diet. Neurobiol. Dis. 40 238–244. 10.1016/j.nbd.2010.05.030 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B114] Minter M. R., Zhang C., Leone V., Ringus D. L., Zhang X., Oyler-Castrillo P., et al. (2016). Antibiotic-induced perturbations in gut microbial diversity influences neuro-inflammation and amyloidosis in a murine model of Alzheimer’s disease. Sci. Rep. 6:30028. 10.1038/srep30028 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B115] Mirzaei R., Bouzari B., Hosseini-Fard S. R., Mazaheri M., Ahmadyousefi Y., Abdi M., et al. (2021). Role of microbiota-derived short-chain fatty acids in nervous system disorders. Biomed. Pharmacother. 139:111661. 10.1016/j.biopha.2021.111661 [DOI] [PubMed] [Google Scholar]

[B116] Morrison D. J., Preston T. (2016). Formation of short chain fatty acids by the gut microbiota and their impact on human metabolism. Gut Microbes 7 189–200. 10.1080/19490976.2015.1134082 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B117] Nagpal R., Neth B. J., Wang S., Craft S., Yadav H. (2019). Modified mediterranean-ketogenic diet modulates gut microbiome and short-chain fatty acids in association with Alzheimer’s disease markers in subjects with mild cognitive impairment. EBioMedicine 47 529–542. 10.1016/j.ebiom.2019.08.032 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B118] Nagpal R., Neth B. J., Wang S., Mishra S. P., Craft S., Yadav H. (2020). Gut mycobiome and its interaction with diet, gut bacteria and alzheimer’s disease markers in subjects with mild cognitive impairment: A pilot study. EBioMedicine 59:102950. 10.1016/j.ebiom.2020.102950 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B119] Ngo S. T., Restuadi R., McCrae A. F., Van Eijk R. P., Garton F., Henderson R. D., et al. (2020). Progression and survival of patients with motor neuron disease relative to their fecal microbiota. Amyotroph. Lateral Scler. Frontotemporal Degener. 21 549–562. 10.1080/21678421.2020.1772825 [DOI] [PubMed] [Google Scholar]

[B120] Nicholson S. E., Watts L. T., Burmeister D. M., Merrill D., Scroggins S., Zou Y., et al. (2019). Moderate traumatic brain injury alters the gastrointestinal microbiome in a time-dependent manner. Shock 52 240–248. 10.1097/SHK.0000000000001211 [DOI] [PubMed] [Google Scholar]

[B121] Obrenovich M. E. M. (2018). Leaky gut, leaky brain? Microorganisms 6:107. 10.3390/microorganisms6040107 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B122] O’Callaghan J. P., Sriram K., Miller D. B. (2008). Defining “neuroinflammation”. Ann. N. Y. Acad. Sci. 1139 318–330. 10.1196/annals.1432.032 [DOI] [PubMed] [Google Scholar]

[B123] Ochoa-Reparaz J., Mielcarz D. W., Ditrio L. E., Burroughs A. R., Begum-Haque S., Dasgupta S., et al. (2010). Central nervous system demyelinating disease protection by the human commensal Bacteroides fragilis depends on polysaccharide A expression. J. Immunol. 185 4101–4108. 10.4049/jimmunol.1001443 [DOI] [PubMed] [Google Scholar]

[B124] O’Connell M. T., Seal A., Nortje J., Al-Rawi P. G., Coles J. P., Fryer T. D., et al. (2005). Glucose metabolism in traumatic brain injury: A combined microdialysis and [18F]-2-fluoro-2-deoxy-D-glucose-positron emission tomography (FDG-PET) study. Acta Neurochir. Suppl. 95 165–168. 10.1007/3-211-32318-X_35 [DOI] [PubMed] [Google Scholar]

[B125] Olson C. A., Vuong H. E., Yano J. M., Liang Q. Y., Nusbaum D. J., Hsiao E. Y. (2018). The gut microbiota mediates the anti-seizure effects of the ketogenic diet. Cell 173 1728–1741.e13. 10.1016/j.cell.2018.04.027 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B126] Owen O. E., Morgan A. P., Kemp H. G., Sullivan J. M., Herrera M. G., Cahill G. F., Jr. (1967). Brain metabolism during fasting. J. Clin. Invest. 46 1589–1595. 10.1172/JCI105650 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B127] Pathare N., Sushilkumar S., Haley L., Jain S., Osier N. N. (2020). The impact of traumatic brain injury on microbiome composition: A systematic review. Biol. Res. Nurs. 22 495–505. 10.1177/1099800420943961 [DOI] [PubMed] [Google Scholar]

[B128] Patrizz A., Dono A., Zorofchian S., Hines G., Takayasu T., Husein N., et al. (2020). Glioma and temozolomide induced alterations in gut microbiome. Sci. Rep. 10:21002. 10.1038/s41598-020-77919-w [DOI] [PMC free article] [PubMed] [Google Scholar]

[B129] Pearn M. L., Niesman I. R., Egawa J., Sawada A., Almenar-Queralt A., Shah S. B., et al. (2017). Pathophysiology associated with traumatic brain injury: Current treatments and potential novel therapeutics. Cell. Mol. Neurobiol. 37 571–585. 10.1007/s10571-016-0400-1 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B130] Pellegrini C., Antonioli L., Calderone V., Colucci R., Fornai M., Blandizzi C. (2020). Microbiota-gut-brain axis in health and disease: Is NLRP3 inflammasome at the crossroads of microbiota-gut-brain communications? Prog. Neurobiol. 191:101806. 10.1016/j.pneurobio.2020.101806 [DOI] [PubMed] [Google Scholar]

[B131] Peng A., Qiu X., Lai W., Li W., Zhang L., Zhu X., et al. (2018). Altered composition of the gut microbiome in patients with drug-resistant epilepsy. Epilepsy Res. 147 102–107. 10.1016/j.eplepsyres.2018.09.013 [DOI] [PubMed] [Google Scholar]

[B132] Petridis A. K., Kamp M. A., Cornelius J. F., Beez T., Beseoglu K., Turowski B., et al. (2017). Aneurysmal Subarachnoid Hemorrhage. Dtsch. Arztebl. Int. 114 226–236. 10.3238/arztebl.2017.0226 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B133] Phillips M. C. L., Deprez L. M., Mortimer G. M. N., Murtagh D. K. J., McCoy S., Mylchreest R., et al. (2021). Randomized crossover trial of a modified ketogenic diet in Alzheimer’s disease. Alzheimers Res. Ther. 13:51. 10.1186/s13195-021-00783-x [DOI] [PMC free article] [PubMed] [Google Scholar]

[B134] Phillips M. C. L., Murtagh D. K. J., Gilbertson L. J., Asztely F. J. S., Lynch C. D. P. (2018). Low-fat versus ketogenic diet in Parkinson’s disease: A pilot randomized controlled trial. Mov. Disord. 33 1306–1314. 10.1002/mds.27390 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B135] Pietrzak D., Kasperek K., Rekawek P., Piatkowska-Chmiel I. (2022). The therapeutic role of ketogenic diet in neurological disorders. Nutrients 14:1952. 10.3390/nu14091952 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B136] Pondel N., Liskiewicz D., Liskiewicz A. (2020). Ketogenic diet - mechanism of action and perspectives for the use in the therapy: Data from clinical studies. Postepy Biochem. 66 270–286. [DOI] [PubMed] [Google Scholar]

[B137] Preiningerova J. L., Jiraskova Zakostelska Z., Srinivasan A., Ticha V., Kovarova I., Kleinova P., et al. (2022). Multiple Sclerosis and Microbiome. Biomolecules 12:433. 10.3390/biom12030433 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B138] Prins M., Greco T., Alexander D., Giza C. C. (2013). The pathophysiology of traumatic brain injury at a glance. Dis. Model Mech. 6 1307–1315. 10.1242/dmm.011585 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B139] Prins M. L. (2008). Cerebral metabolic adaptation and ketone metabolism after brain injury. J. Cereb. Blood Flow Metab. 28 1–16. 10.1038/sj.jcbfm.9600543 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B140] Prins M. L., Lee S. M., Fujima L. S., Hovda D. A. (2004). Increased cerebral uptake and oxidation of exogenous betaHB improves ATP following traumatic brain injury in adult rats. J. Neurochem. 90 666–672. 10.1111/j.1471-4159.2004.02542.x [DOI] [PubMed] [Google Scholar]

[B141] Puig K. L., Floden A. M., Adhikari R., Golovko M. Y., Combs C. K. (2012). Amyloid precursor protein and proinflammatory changes are regulated in brain and adipose tissue in a murine model of high fat diet-induced obesity. PLoS One 7:e30378. 10.1371/journal.pone.0030378 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B142] Qiao G., Lv T., Zhang M., Chen P., Sun Q., Zhang J., et al. (2020). beta-hydroxybutyrate (beta-HB) exerts anti-inflammatory and antioxidant effects in lipopolysaccharide (LPS)-stimulated macrophages in Liza haematocheila. Fish Shellfish Immunol. 107(Pt B), 444–451. 10.1016/j.fsi.2020.11.005 [DOI] [PubMed] [Google Scholar]

[B143] Quigley E. M. M. (2017). Microbiota-brain-gut axis and neurodegenerative diseases. Curr. Neurol. Neurosci. Rep. 17:94. 10.1007/s11910-017-0802-6 [DOI] [PubMed] [Google Scholar]

[B144] Riazi K., Galic M. A., Kuzmiski J. B., Ho W., Sharkey K. A., Pittman Q. J. (2008). Microglial activation and TNFalpha production mediate altered CNS excitability following peripheral inflammation. Proc. Natl. Acad. Sci. U.S.A. 105 17151–17156. 10.1073/pnas.0806682105 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B145] Rice M. W., Pandya J. D., Shear D. A. (2019). Gut microbiota as a therapeutic target to ameliorate the biochemical, neuroanatomical, and behavioral effects of traumatic brain injuries. Front. Neurol. 10:875. 10.3389/fneur.2019.00875 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B146] Roman G. C., Jackson R. E., Gadhia R., Roman A. N., Reis J. (2019). Mediterranean diet: The role of long-chain omega-3 fatty acids in fish; polyphenols in fruits, vegetables, cereals, coffee, tea, cacao and wine; probiotics and vitamins in prevention of stroke, age-related cognitive decline, and Alzheimer disease. Rev. Neurol. 175 724–741. 10.1016/j.neurol.2019.08.005 [DOI] [PubMed] [Google Scholar]

[B147] Rosner M. J., Newsome H. H., Becker D. P. (1984). Mechanical brain injury: The sympathoadrenal response. J. Neurosurg. 61 76–86. 10.3171/jns.1984.61.1.0076 [DOI] [PubMed] [Google Scholar]

[B148] Routy B., Le Chatelier E., Derosa L., Duong C. P. M., Alou M. T., Daillere R., et al. (2018). Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors. Science 359 91–97. 10.1126/science.aan3706 [DOI] [PubMed] [Google Scholar]

[B149] Rowin J., Xia Y., Jung B., Sun J. (2017). Gut inflammation and dysbiosis in human motor neuron disease. Physiol. Rep. 5:e13443. 10.14814/phy2.13443 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B150] Royes L. F. F., Gomez-Pinilla F. (2019). Making sense of gut feelings in the traumatic brain injury pathogenesis. Neurosci. Biobehav. Rev. 102 345–361. 10.1016/j.neubiorev.2019.05.012 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B151] Sahathevan R., Brodtmann A., Donnan G. A. (2012). Dementia, stroke, and vascular risk factors; a review. Int. J. Stroke 7 61–73. 10.1111/j.1747-4949.2011.00731.x [DOI] [PubMed] [Google Scholar]

[B152] Salazar N., Lopez P., Valdes L., Margolles A., Suarez A., Patterson A. M., et al. (2013). Microbial targets for the development of functional foods accordingly with nutritional and immune parameters altered in the elderly. J. Am. Coll. Nutr. 32 399–406. 10.1080/07315724.2013.827047 [DOI] [PubMed] [Google Scholar]

[B153] Salazar N., Valdes-Varela L., Gonzalez S., Gueimonde M., de Los Reyes-Gavilan C. G. (2017). Nutrition and the gut microbiome in the elderly. Gut Microbes 8 82–97. 10.1080/19490976.2016.1256525 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B154] Schain M., Kreisl W. C. (2017). Neuroinflammation in neurodegenerative disorders-a review. Curr. Neurol. Neurosci. Rep. 17:25. 10.1007/s11910-017-0733-2 [DOI] [PubMed] [Google Scholar]

[B155] Scheperjans F., Aho V., Pereira P. A., Koskinen K., Paulin L., Pekkonen E., et al. (2015). Gut microbiota are related to Parkinson’s disease and clinical phenotype. Mov. Disord. 30 350–358. 10.1002/mds.26069 [DOI] [PubMed] [Google Scholar]

[B156] Schiffrin E. J., Morley J. E., Donnet-Hughes A., Guigoz Y. (2010). The inflammatory status of the elderly: The intestinal contribution. Mutat. Res. 690 50–56. 10.1016/j.mrfmmm.2009.07.011 [DOI] [PubMed] [Google Scholar]

[B157] Shaafi S., Sharifi-Bonab M., Ghaemian N., Mokhtarkhani M., Akbari H. (2019). Early motor-behavioral outcome of ischemic stroke with ketogenic diet preconditioning: Interventional animal study. J. Stroke Cerebrovasc. Dis. 28 1032–1039. 10.1016/j.jstrokecerebrovasdis.2018.12.024 [DOI] [PubMed] [Google Scholar]

[B158] Shahrokhi N., Khaksari M., Soltani Z., Mahmoodi M., Nakhaee N. (2010). Effect of sex steroid hormones on brain edema, intracranial pressure, and neurologic outcomes after traumatic brain injury. Can. J. Physiol. Pharmacol. 88 414–421. 10.1139/Y09-126 [DOI] [PubMed] [Google Scholar]

[B159] Shao B. Z., Cao Q., Liu C. (2018). Targeting NLRP3 inflammasome in the treatment of CNS diseases. Front. Mol. Neurosci. 11:320. 10.3389/fnmol.2018.00320 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B160] Shen L., Liu L., Ji H. F. (2017). Alzheimer’s disease histological and behavioral manifestations in transgenic mice correlate with specific gut microbiome state. J. Alzheimers Dis. 56 385–390. 10.3233/JAD-160884 [DOI] [PubMed] [Google Scholar]

[B161] Sherman M., Liu M. M., Birnbaum S., Wolf S. E., Minei J. P., Gatson J. W. (2016). Adult obese mice suffer from chronic secondary brain injury after mild TBI. J. Neuroinflammation 13:171. 10.1186/s12974-016-0641-4 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B162] Shichita T., Hasegawa E., Kimura A., Morita R., Sakaguchi R., Takada I., et al. (2012). Peroxiredoxin family proteins are key initiators of post-ischemic inflammation in the brain. Nat. Med. 18 911–917. 10.1038/nm.2749 [DOI] [PubMed] [Google Scholar]

[B163] Shichita T., Sugiyama Y., Ooboshi H., Sugimori H., Nakagawa R., Takada I., et al. (2009). Pivotal role of cerebral interleukin-17-producing gammadeltaT cells in the delayed phase of ischemic brain injury. Nat. Med. 15 946–950. 10.1038/nm.1999 [DOI] [PubMed] [Google Scholar]

[B164] Shikata F., Shimada K., Sato H., Ikedo T., Kuwabara A., Furukawa H., et al. (2019). Potential influences of gut microbiota on the formation of intracranial aneurysm. Hypertension 73 491–496. 10.1161/HYPERTENSIONAHA.118.11804 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B165] Shin N. R., Whon T. W., Bae J. W. (2015). Proteobacteria: Microbial signature of dysbiosis in gut microbiota. Trends Biotechnol. 33 496–503. 10.1016/j.tibtech.2015.06.011 [DOI] [PubMed] [Google Scholar]

[B166] Shukla P. K., Delotterie D. F., Xiao J., Pierre J. F., Rao R., McDonald M. P., et al. (2021). Alterations in the gut-microbial-inflammasome-brain axis in a mouse model of Alzheimer’s disease. Cells 10:779. 10.3390/cells10040779 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B167] Simon D. W., McGeachy M. J., Bayir H., Clark R. S., Loane D. J., Kochanek P. M. (2017). The far-reaching scope of neuroinflammation after traumatic brain injury. Nat. Rev. Neurol. 13 171–191. 10.1038/nrneurol.2017.13 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B168] Singh V., Roth S., Llovera G., Sadler R., Garzetti D., Stecher B., et al. (2016). Microbiota dysbiosis controls the neuroinflammatory response after stroke. J. Neurosci. 36 7428–7440. 10.1523/JNEUROSCI.1114-16.2016 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B169] Sivan A., Corrales L., Hubert N., Williams J. B., Aquino-Michaels K., Earley Z. M., et al. (2015). Commensal Bifidobacterium promotes antitumor immunity and facilitates anti-PD-L1 efficacy. Science 350 1084–1089. 10.1126/science.aac4255 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B170] Soria Lopez J. A., Gonzalez H. M., Leger G. C. (2019). Alzheimer’s disease. Handb. Clin. Neurol. 167 231–255. 10.1016/B978-0-12-804766-8.00013-3 [DOI] [PubMed] [Google Scholar]

[B171] Storoni M., Plant G. T. (2015). The therapeutic potential of the ketogenic diet in treating progressive multiple sclerosis. Mult. Scler. Int. 2015:681289. 10.1155/2015/681289 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B172] Streijger F., Plunet W. T., Lee J. H., Liu J., Lam C. K., Park S., et al. (2013). Ketogenic diet improves forelimb motor function after spinal cord injury in rodents. PLoS One 8:e78765. 10.1371/journal.pone.0078765 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B173] Surawicz C. M., Brandt L. J., Binion D. G., Ananthakrishnan A. N., Curry S. R., Gilligan P. H., et al. (2013). Guidelines for diagnosis, treatment, and prevention of Clostridium difficile infections. Am. J. Gastroenterol. 108 478–498; quiz499. 10.1038/ajg.2013.4 [DOI] [PubMed] [Google Scholar]

[B174] Swidsinski A., Dorffel Y., Loening-Baucke V., Gille C., Goktas O., Reisshauer A., et al. (2017). Reduced mass and diversity of the colonic microbiome in patients with multiple sclerosis and their improvement with ketogenic diet. Front. Microbiol. 8:1141. 10.3389/fmicb.2017.01141 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B175] Tai K. K., Nguyen N., Pham L., Truong D. D. (2008). Ketogenic diet prevents cardiac arrest-induced cerebral ischemic neurodegeneration. J. Neural Transm 115 1011–1017. 10.1007/s00702-008-0050-7 [DOI] [PubMed] [Google Scholar]

[B176] Takewaki D., Suda W., Sato W., Takayasu L., Kumar N., Kimura K., et al. (2020). Alterations of the gut ecological and functional microenvironment in different stages of multiple sclerosis. Proc. Natl. Acad. Sci. U.S.A. 117 22402–22412. 10.1073/pnas.2011703117 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B177] Tan B. Y. Q., Paliwal P. R., Sharma V. K. (2020). Gut microbiota and stroke. Ann. Indian Acad. Neurol. 23 155–158. [DOI] [PMC free article] [PubMed] [Google Scholar]

[B178] Tan C., Wu Q., Wang H., Gao X., Xu R., Cui Z., et al. (2021). Dysbiosis of gut microbiota and short-chain fatty acids in acute ischemic stroke and the subsequent risk for poor functional outcomes. JPEN J. Parenter. Enteral Nutr. 45 518–529. 10.1002/jpen.1861 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B179] Tankou S. K., Regev K., Healy B. C., Cox L. M., Tjon E., Kivisakk P., et al. (2018a). Investigation of probiotics in multiple sclerosis. Mult. Scler. 24 58–63. 10.1177/1352458517737390 [DOI] [PubMed] [Google Scholar]

[B180] Tankou S. K., Regev K., Healy B. C., Tjon E., Laghi L., Cox L. M., et al. (2018b). A probiotic modulates the microbiome and immunity in multiple sclerosis. Ann. Neurol. 83 1147–1161. 10.1002/ana.25244 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B181] Taylor M. K., Sullivan D. K., Mahnken J. D., Burns J. M., Swerdlow R. H. (2018). Feasibility and efficacy data from a ketogenic diet intervention in Alzheimer’s disease. Alzheimers Dement. 4 28–36. 10.1016/j.trci.2017.11.002 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B182] Tobin R. P., Mukherjee S., Kain J. M., Rogers S. K., Henderson S. K., Motal H. L., et al. (2014). Traumatic brain injury causes selective, CD74-dependent peripheral lymphocyte activation that exacerbates neurodegeneration. Acta Neuropathol. Commun. 2:143. 10.1186/s40478-014-0143-5 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B183] Tomkins O., Feintuch A., Benifla M., Cohen A., Friedman A., Shelef I. (2011). Blood-brain barrier breakdown following traumatic brain injury: A possible role in posttraumatic epilepsy. Cardiovasc. Psychiatry Neurol. 2011:765923. 10.1155/2011/765923 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B184] Treangen T. J., Wagner J., Burns M. P., Villapol S. (2018). Traumatic brain injury in mice induces acute bacterial dysbiosis within the fecal microbiome. Front. Immunol. 9:2757. 10.3389/fimmu.2018.02757 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B185] Tremblay M. E., Stevens B., Sierra A., Wake H., Bessis A., Nimmerjahn A. (2011). The role of microglia in the healthy brain. J. Neurosci. 31 16064–16069. 10.1523/JNEUROSCI.4158-11.2011 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B186] Tremlett H., Fadrosh D. W., Faruqi A. A., Hart J., Roalstad S., Graves J., et al. (2016). Gut microbiota composition and relapse risk in pediatric MS: A pilot study. J. Neurol. Sci. 363 153–157. 10.1016/j.jns.2016.02.042 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B187] Tseng M. T., Chan S. A., Schurr A. (2003). Ischemia-induced changes in monocarboxylate transporter 1 reactive cells in rat hippocampus. Neurol. Res. 25 83–86. 10.1179/016164103101200978 [DOI] [PubMed] [Google Scholar]

[B188] Ueda A., Shinkai S., Shiroma H., Taniguchi Y., Tsuchida S., Kariya T., et al. (2021). Identification of Faecalibacterium prausnitzii strains for gut microbiome-based intervention in Alzheimer’s-type dementia. Cell Rep. Med. 2:100398. 10.1016/j.xcrm.2021.100398 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B189] Urban R. J., Pyles R. B., Stewart C. J., Ajami N., Randolph K. M., Durham W. J., et al. (2020). Altered fecal microbiome years after traumatic brain injury. J. Neurotrauma 37 1037–1051. 10.1089/neu.2019.6688 [DOI] [PubMed] [Google Scholar]

[B190] Vangay P., Ward T., Gerber J. S., Knights D. (2015). Antibiotics, pediatric dysbiosis, and disease. Cell Host Microbe 17 553–564. 10.1016/j.chom.2015.04.006 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B191] Vannucci S. J., Simpson I. A. (2003). Developmental switch in brain nutrient transporter expression in the rat. Am. J. Physiol. Endocrinol. Metab. 285 E1127–E1134. 10.1152/ajpendo.00187.2003 [DOI] [PubMed] [Google Scholar]

[B192] Vogt N. M., Kerby R. L., Dill-McFarland K. A., Harding S. J., Merluzzi A. P., Johnson S. C., et al. (2017). Gut microbiome alterations in Alzheimer’s disease. Sci. Rep. 7:13537. 10.1038/s41598-017-13601-y [DOI] [PMC free article] [PubMed] [Google Scholar]

[B193] Walczyk T., Wick J. Y. (2017). The ketogenic diet: Making a comeback. Consult Pharm. 32 388–396. 10.4140/TCP.n.2017.388 [DOI] [PubMed] [Google Scholar]

[B194] Wanchao S., Chen M., Zhiguo S., Futang X., Mengmeng S. (2018). Protective effect and mechanism of Lactobacillus on cerebral ischemia reperfusion injury in rats. Braz. J. Med. Biol. Res. 51:e7172. 10.1590/1414-431x20187172 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B195] Wang H. X., Wang Y. P. (2016). Gut microbiota-brain axis. Chin. Med. J. 129 2373–2380. 10.4103/0366-6999.190667 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B196] Wang J. W., Kuo C. H., Kuo F. C., Wang Y. K., Hsu W. H., Yu F. J., et al. (2019). Fecal microbiota transplantation: Review and update. J. Formos Med. Assoc. 118 (Suppl. 1), S23–S31. 10.1016/j.jfma.2018.08.011 [DOI] [PubMed] [Google Scholar]

[B197] Wang Y., Guo S. Z., Bonen A., Li R. C., Kheirandish-Gozal L., Zhang S. X., et al. (2011). Monocarboxylate transporter 2 and stroke severity in a rodent model of sleep apnea. J. Neurosci. 31 10241–10248. 10.1523/JNEUROSCI.1462-11.2011 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B198] Wei Y., Yang J., Wang J., Yang Y., Huang J., Gong H., et al. (2016). Successful treatment with fecal microbiota transplantation in patients with multiple organ dysfunction syndrome and diarrhea following severe sepsis. Crit. Care 20:332. 10.1186/s13054-016-1491-2 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B199] Weller M., Wick W., Aldape K., Brada M., Berger M., Pfister S. M., et al. (2015). Glioma. Nat. Rev. Dis. Primers 1:15017. 10.1038/nrdp.2015.17 [DOI] [PubMed] [Google Scholar]

[B200] Wen S. W., Wong C. H. Y. (2017). An unexplored brain-gut microbiota axis in stroke. Gut Microbes 8 601–606. 10.1080/19490976.2017.1344809 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B201] Wheless J. W. (2008). History of the ketogenic diet. Epilepsia 49 (Suppl. 8), 3–5. 10.1111/j.1528-1167.2008.01821.x [DOI] [PubMed] [Google Scholar]

[B202] White H., Venkatesh B. (2011). Clinical review: Ketones and brain injury. Crit. Care 15 219. 10.1186/cc10020 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B203] White H., Venkatesh B., Jones M., Kruger P. S., Walsham J., Fuentes H. (2020). Inducing ketogenesis via an enteral formulation in patients with acute brain injury:a phase II study. Neurol. Res. 42 275–285. 10.1080/01616412.2019.1709743 [DOI] [PubMed] [Google Scholar]

[B204] Winkler E. A., Minter D., Yue J. K., Manley G. T. (2016). Cerebral edema in traumatic brain injury: Pathophysiology and prospective therapeutic targets. Neurosurg. Clin. N. Am. 27 473–488. 10.1016/j.nec.2016.05.008 [DOI] [PubMed] [Google Scholar]

[B205] Woodburn S. C., Bollinger J. L., Wohleb E. S. (2021). The semantics of microglia activation: Neuroinflammation, homeostasis, and stress. J. Neuroinflammation 18:258. 10.1186/s12974-021-02309-6 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B206] Wu A., Molteni R., Ying Z., Gomez-Pinilla F. (2003). A saturated-fat diet aggravates the outcome of traumatic brain injury on hippocampal plasticity and cognitive function by reducing brain-derived neurotrophic factor. Neuroscience 119 365–375. 10.1016/S0306-4522(03)00154-4 [DOI] [PubMed] [Google Scholar]

[B207] Wu G. D., Chen J., Hoffmann C., Bittinger K., Chen Y. Y., Keilbaugh S. A., et al. (2011). Linking long-term dietary patterns with gut microbial enterotypes. Science 334 105–108. 10.1126/science.1208344 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B208] Wu H., Chiou J. (2021). Potential benefits of probiotics and prebiotics for coronary heart disease and stroke. Nutrients 13:2878. 10.3390/nu13082878 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B209] Xie G., Zhou Q., Qiu C. Z., Dai W. K., Wang H. P., Li Y. H., et al. (2017). Ketogenic diet poses a significant effect on imbalanced gut microbiota in infants with refractory epilepsy. World J. Gastroenterol. 23 6164–6171. 10.3748/wjg.v23.i33.6164 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B210] Yamashiro K., Tanaka R., Urabe T., Ueno Y., Yamashiro Y., Nomoto K., et al. (2017). Gut dysbiosis is associated with metabolism and systemic inflammation in patients with ischemic stroke. PLoS One 12:e0171521. 10.1371/journal.pone.0171521 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B211] Yang X., Cheng B. (2010). Neuroprotective and anti-inflammatory activities of ketogenic diet on MPTP-induced neurotoxicity. J. Mol. Neurosci. 42 145–153. 10.1007/s12031-010-9336-y [DOI] [PubMed] [Google Scholar]

[B212] Yarandi S. S., Peterson D. A., Treisman G. J., Moran T. H., Pasricha P. J. (2016). Modulatory effects of gut microbiota on the central nervous system: How gut could play a role in neuropsychiatric health and diseases. J. Neurogastroenterol. Motil. 22 201–212. 10.5056/jnm15146 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B213] Yatsunenko T., Rey F. E., Manary M. J., Trehan I., Dominguez-Bello M. G., Contreras M., et al. (2012). Human gut microbiome viewed across age and geography. Nature 486 222–227. 10.1038/nature11053 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B214] Yeom J. S., Park J. S., Kim Y. S., Kim R. B., Choi D. S., Chung J. Y., et al. (2019). Neonatal seizures and white matter injury: Role of rotavirus infection and probiotics. Brain Dev. 41 19–28. 10.1016/j.braindev.2018.07.001 [DOI] [PubMed] [Google Scholar]

[B215] Yin J., Liao S. X., He Y., Wang S., Xia G. H., Liu F. T., et al. (2015). Dysbiosis of gut microbiota with reduced trimethylamine-N-oxide level in patients with large-artery atherosclerotic stroke or transient ischemic attack. J. Am. Heart Assoc. 4:e002699. 10.1161/JAHA.115.002699 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B216] You W., Zhu Y., Wei A., Du J., Wang Y., Zheng P., et al. (2022). Traumatic brain injury induces gastrointestinal dysfunction and dysbiosis of gut microbiota accompanied by alterations of bile acid profile. J. Neurotrauma 39 227–237. 10.1089/neu.2020.7526 [DOI] [PubMed] [Google Scholar]

[B217] Youm Y. H., Nguyen K. Y., Grant R. W., Goldberg E. L., Bodogai M., Kim D., et al. (2015). The ketone metabolite beta-hydroxybutyrate blocks NLRP3 inflammasome-mediated inflammatory disease. Nat. Med. 21 263–269. 10.1038/nm.3804 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B218] Yu X., Zhang R., Wei C., Gao Y., Yu Y., Wang L., et al. (2021a). MCT2 overexpression promotes recovery of cognitive function by increasing mitochondrial biogenesis in a rat model of stroke. Anim. Cells Syst. 25 93–101. 10.1080/19768354.2021.1915379 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B219] Yu X., Zhou G., Shao B., Zhou H., Xu C., Yan F., et al. (2021b). Gut microbiota dysbiosis induced by intracerebral hemorrhage aggravates neuroinflammation in mice. Front. Microbiol. 12:647304. 10.3389/fmicb.2021.647304 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B220] Yue Q., Cai M., Xiao B., Zhan Q., Zeng C. A. (2021). High-tryptophan diet reduces seizure-induced respiratory arrest and alters the gut microbiota in DBA/1 mice. Front. Neurol. 12:762323. 10.3389/fneur.2021.762323 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B221] Yurista S. R., Chong C. R., Badimon J. J., Kelly D. P., de Boer R. A., Westenbrink B. D. (2021). Therapeutic potential of ketone bodies for patients with cardiovascular disease: JACC state-of-the-art review. J. Am. Coll. Cardiol. 77 1660–1669. 10.1016/j.jacc.2020.12.065 [DOI] [PubMed] [Google Scholar]

[B222] Zeng Q., Shen J., Chen K., Zhou J., Liao Q., Lu K., et al. (2020). The alteration of gut microbiome and metabolism in amyotrophic lateral sclerosis patients. Sci. Rep. 10:12998. 10.1038/s41598-020-69845-8 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B223] Zhai Q., Sun T., Sun C., Yan L., Wang X., Wang Y., et al. (2021). High plasma levels of trimethylamine N-oxide are associated with poor outcome in intracerebral hemorrhage patients. Neurol. Sci. 42 1009–1016. 10.1007/s10072-020-04618-9 [DOI] [PubMed] [Google Scholar]

[B224] Zhan X., Stamova B., Sharp F. R. (2018). Lipopolysaccharide associates with amyloid plaques, neurons and oligodendrocytes in Alzheimer’s disease brain: A review. Front. Aging Neurosci. 10:42. 10.3389/fnagi.2018.00042 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B225] Zhang F., Vannucci S. J., Philp N. J., Simpson I. A. (2005). Monocarboxylate transporter expression in the spontaneous hypertensive rat: Effect of stroke. J. Neurosci. Res. 79 139–145. 10.1002/jnr.20312 [DOI] [PubMed] [Google Scholar]

[B226] Zhang H., Huang Y., Li X., Han X., Hu J., Wang B., et al. (2021). Dynamic process of secondary pulmonary infection in mice with intracerebral hemorrhage. Front. Immunol. 12:767155. 10.3389/fimmu.2021.767155 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B227] Zhang Y., Kuang Y., Xu K., Harris D., Lee Z., LaManna J., et al. (2013). Ketosis proportionately spares glucose utilization in brain. J. Cereb. Blood Flow Metab. 33 1307–1311. 10.1038/jcbfm.2013.87 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B228] Zhang Y., Zhou S., Zhou Y., Yu L., Zhang L., Wang Y. (2018). Altered gut microbiome composition in children with refractory epilepsy after ketogenic diet. Epilepsy Res. 145 163–168. 10.1016/j.eplepsyres.2018.06.015 [DOI] [PubMed] [Google Scholar]

[B229] Zhang Y. G., Wu S., Yi J., Xia Y., Jin D., Zhou J., et al. (2017). Target intestinal microbiota to alleviate disease progression in amyotrophic lateral sclerosis. Clin. Ther. 39 322–336. 10.1016/j.clinthera.2016.12.014 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B230] Zhao X., Sun G., Zhang H., Ting S. M., Song S., Gonzales N., et al. (2014). Polymorphonuclear neutrophil in brain parenchyma after experimental intracerebral hemorrhage. Transl. Stroke Res. 5 554–561. 10.1007/s12975-014-0341-2 [DOI] [PubMed] [Google Scholar]

[B231] Zhao Z., Lange D. J., Voustianiouk A., MacGrogan D., Ho L., Suh J., et al. (2006). A ketogenic diet as a potential novel therapeutic intervention in amyotrophic lateral sclerosis. BMC Neurosci. 7:29. 10.1186/1471-2202-7-29 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B232] Zhu C. S., Grandhi R., Patterson T. T., Nicholson S. E. (2018). A review of traumatic brain injury and the gut microbiome: Insights into novel mechanisms of secondary brain injury and promising targets for neuroprotection. Brain Sci. 8:113. 10.3390/brainsci8060113 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B233] Zhu H., Bi D., Zhang Y., Kong C., Du J., Wu X., et al. (2022). Ketogenic diet for human diseases: The underlying mechanisms and potential for clinical implementations. Signal Transduct. Target. Ther. 7:11. 10.1038/s41392-021-00831-w [DOI] [PMC free article] [PubMed] [Google Scholar]

[B234] Zhu H., Wang Z., Yu J., Yang X., He F., Liu Z., et al. (2019). Role and mechanisms of cytokines in the secondary brain injury after intracerebral hemorrhage. Prog. Neurobiol. 178:101610. 10.1016/j.pneurobio.2019.03.003 [DOI] [PubMed] [Google Scholar]

[B235] Zhu W., Romano K. A., Li L., Buffa J. A., Sangwan N., Prakash P., et al. (2021). Gut microbes impact stroke severity via the trimethylamine N-oxide pathway. Cell Host Microbe 29 1199–1208.e5. 10.1016/j.chom.2021.05.002 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B236] Zhu X., Li B., Lou P., Dai T., Chen Y., Zhuge A., et al. (2021). The relationship between the gut microbiome and neurodegenerative diseases. Neurosci. Bull. 37 1510–1522. 10.1007/s12264-021-00730-8 [DOI] [PMC free article] [PubMed] [Google Scholar]

[B237] Zhuang Z. Q., Shen L. L., Li W. W., Fu X., Zeng F., Gui L., et al. (2018). Gut microbiota is altered in patients with Alzheimer’s disease. J. Alzheimers Dis. 63 1337–1346. 10.3233/JAD-180176 [DOI] [PubMed] [Google Scholar]

[B238] Zilberter Y., Zilberter T. (2020). Glucose-sparing action of ketones boosts functions exclusive to glucose in the brain. eNeuro 7:ENEURO.0303-20.2020. 10.1523/ENEURO.0303-20.2020 [DOI] [PMC free article] [PubMed] [Google Scholar]

PERMALINK

Diet-microbiome-gut-brain nexus in acute and chronic brain injury

Maria Alexander Krakovski

Niraj Arora

Shalini Jain

Jennifer Glover

Keith Dombrowski

Beverly Hernandez

Hariom Yadav

Anand Karthik Sarma

Abstract

Introduction

The healthy gut

Gut brain axis

FIGURE 1.

Blood brain barrier

Dysregulated gut-brain axis by central nervous system injury

Changes to brain-gut interactions during acute neurological injury

Ischemic stroke and microbiome

Animal studies

Human studies

Traumatic brain injury and microbiome

Animal studies

Human studies

Intracerebral hemorrhages and microbiome

Animal studies

Human studies

Changes to brain–gut interactions during chronic neurological injury

Alzheimer’s disease and microbiome

Animal studies

Human studies

Parkinson’s disease and microbiome

Animal studies

Human studies

Epilepsy and microbiome

Animal studies

Human studies

Vascular dementia and microbiome

Animal studies

Brain tumors and microbiome

Amyotrophic lateral sclerosis and microbiome

Animal studies

Human studies

Multiple sclerosis and microbiome

Animal studies

Human studies

Dietary interventions on brain injury

Probiotic supplements and diet

TABLE 1.

Ketogenic diet

Ketogenic diet relation to the brain

Role of ketogenic diet in brain injury

FIGURE 2.

Ketogenic diet interventions in chronic neurologic disorders

TABLE 2.

Ketogenic diet interventions in acute brain injuries

Conclusion/future directions

Author contributions

Conflict of interest

Publisher’s note

References

ACTIONS

PERMALINK

RESOURCES

Similar articles

Cited by other articles

Links to NCBI Databases