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. 2025 Dec 24;5(1):197. doi: 10.1007/s44192-025-00312-4

How three different theories of depression converge at inflammation

B Baumberger 1,#, L Batey 1,#, P Hashemi 1,✉
PMCID: PMC12738436  PMID: 41442021

Abstract

Three main theories of depression have been developed: the monoamine, plasticity and inflammation theories. While each theory has been bolstered by decades of excellent scientific evidence, individually each idea falls short for developing universally effective treatments for depression. In this perspective, we present the history and development of each theory and discuss the therapies that follow each hypothesis. We provide a unique perspective by highlighting the historical evolution, clinical implications, and the nexus between the three hypotheses. We emphasise how the theories are mutually inclusive and influence one another and are smaller parts of a larger puzzle. We suggest that future therapies should involve all three: ze: monoamines, plasticity and inflammation.

Introduction

Human health has improved in many ways over the last century; however, the understanding and management of mental health continues to lag. Incidences of mental health disorders are continually rising, with an estimated 300 million people diagnosed globally with depression alone. This number (which is likely an underestimate due to stigma and lack of access to healthcare) renders depression one of the globe’s most prevalent disorders.

Diagnosis and treatment of depression are inconsistent and controversial because the underlying pathology of this illness has yet to be fully elucidated. There have been three major theories of depression: the monoamine, plasticity and inflammation theories. There is compelling evidence for each theory, but individually they fail to fully explain the phenotype and universally treat the symptoms of depression. In this perspective, we will cover the development of these major theories and discuss their associated therapies. We speculate that these theories are not discrete but rather form small and synergistic pieces of the larger puzzle of depression pathology, around the central theme of inflammation. Finally, we suggest that future therapies should be designed around all three aspects: monoamines, plasticity and inflammation.

Theories of depression

Until the 1950s, depression was so ill-understood that treatments were arbitrary and, at times, cruel. Thousands of years ago, depression was a spiritual issue, and treatments involved trephinations [1]. In 600 BC the ancient Greeks employed bloodletting and purging to restore balance to the humors of the body [2]. Post 1600s, depressed individuals were institutionalized and isolated from other people, treated with ice baths and restraint techniques [3]. There are scattered reports in history of using opiates and barbiturates for melancholy [4] and manic-depressive psychosis [5], however more progress was made in the early 1900s, when the world entered a modern age of medicine that included important drug discoveries, including insulin [6]. Insulin coma therapy was the first time drugs were used on a large-scale for depression. Here, patients were forced into a hypoglycemic coma under the rationale that this state would “reset” the brain [7]. Around the same time, Metrazol, a nervous system stimulant, was used to induce seizures to the same effect [8]. This precipitated the highly controversial electroconvulsive therapy (ECT) in the 1940s as an alternative to Metrazol because it enabled more precise control of the duration and intensity of the seizures [9]. Also during this time, amphetamines were being explored for their effects on alleviating depression [10] becoming incredibly popular in the 1950s as medications for mild depression after strong marketing campaigns from Smith, Kline and French [10]. However, it became quickly apparent that these agents were addictive [11], patients became tolerant, and withdrawal itself induced depression [10]. Thus, in 1971, amphetamines were declared a Schedule-II controlled substance and no longer used for depression [12]. Perhaps the most infamous depression treatment was the lobotomy, which was first introduced around the same time. A celebrated therapy at this time (Egas Moniz won the Nobel Prize in Medicine for the lobotomy in 1949) [13], this treatment was later recognized as unethical and harmful. These early 20th century treatments became obsolete in the 1950s, when chemical theories of depression began to be developed.

Monoamine theory of depression

“Depression is caused by a deficiency of serotonin, dopamine and norepinephrine” Mid 1960s.

The 1950s were a time of rapid growth for biochemistry and drug development and transformed how the scientific and medical communities viewed depression. Scientists at Hoffmann La Roche discovered interesting ‘side effects’ of a new compound they were trialing for tuberculosis [14]. These side effects included ‘euphoria’, improvements in sleep and better appetite. This drug, iproniazid, kills bacteria by inhibiting the synthesis of mycolic acid, a key component of the bacterial cell wall, but this drug is also a monoamine oxidase inhibitor (MAOI). Monoamine oxidase is found at high concentrations in the brain and is the key enzyme in the brain that is tasked with catabolizing monoamine transmitters (serotonin, dopamine and norepinephrine). Iproniazid was the first dedicated antidepressant and was used off-label to treat depression in 1958. At the same time, scientists started to investigate the roles of neurotransmitters in depression to develop more selective drugs.

Imipramine, first synthesized by Hafliger and Schindler [15], was originally investigated as an antipsychotic treatment. This agent did not have anti-psychotic effects in patients but was found to improve depression symptoms [16, 17]. Imipramine was approved by the FDA to treat depression in 1959. It is a tricyclic antidepressant (TCA), which inhibits the reuptake of norepinephrine and serotonin back into neurons [18].

Seminal studies in the mid-1960s found that serotonin levels were lower in the brain of depressed suicide patients [19], and norepinephrine levels were reduced in the cerebrospinal fluid and urine of depression patients [20]. These findings, taken together with the pharmacological success of MAOIs and TCAs, propelled the development of a new theory of depression. This new theory, the monoamine hypothesis of depression [21], postulates that depression is caused by a deficiency of serotonin, dopamine and norepinephrine. As such, Eli Lilly started developing agents to selectively inhibit serotonin reuptake via the serotonin transporters, under the rationale that this effect would correct a serotonin deficiency. In 1974, the first paper describing a selective serotonin reuptake inhibitor (SSRI) was published [22, 23], the agent was named LY110140 or fluoxetine and approved by the FDA and marketed as Prozac (™) in 1987 [24].

A rich and varied body of experimental literature has studied monoamine roles in depressive disorder [25–30]. While it is not yet possible to measure human brain monoamines as a biomarker for depression, exciting recent work in humans using positron emission tomography showed that the release of serotonin was reduced in depressed vs. control patients [31]. Thus, this might represent an exciting new direction for biomarker research. Since Prozac(™), an array of serotonin, norepinephrine and dopamine targeting agents have been approved (and some taken off the market) for depression [32, 33]. Of these, a small subset is routinely prescribed to vast numbers of people. These agents have helped millions of people and represent huge advances in depression treatment over the last century. However, in recent years, the variable success rate and delayed onset (patients typically must take SSRIs for weeks for clinical effectiveness) of therapeutic actions of SSRIs have pointed towards additional mechanisms outside of monoamines and have thus spurred the medical community to seek alternative theories of depression.

Neuroplasticity and neurogenesis

“Depression is caused by impairments in the brain’s ability to adapt and generate new neurons and neuronal connections” Mid 1990s.

A healthy brain can reorganize itself by forming new neural connections. This process, called neuroplasticity, allows the brain to learn new information, recover from damage and adapt in response to new experiences and changes in the environment. In two specific brain regions, the hippocampus and the subventricular zone, the brain can also actually regenerate itself, in a process called neurogenesis [34, 35].

The hippocampus became a critical area of interest in depression studies in the mid-1990s because scientists found, utilizing volumetric MRI, loss of hippocampal volume in a group of older women with recurrent major depression [36]. The same group confirmed their original report in a later study and showed a correlation between hippocampal volume and the duration of depression [37]. Other work during this period found a similar loss of hippocampal volume in post-traumatic stress disorder patients [38]. These clinical findings were supported by a series of animal studies earlier that decade, which found that acute stress suppressed the rate of dentate gyrus (part of the hippocampal formation) neurogenesis in adults of several species [39].

The plasticity hypothesis of depression was solidified in a seminal Society for Neuroscience Meeting in 1999 where Barry Jacobs and his colleagues presented a paper entitled “Chronic Fluoxetine Treatment Increases Hippocampal Neurogenesis in Rats: A Novel Theory of Depression”. Here, they showed that chronic fluoxetine increased hippocampal neurogenesis in rats (70% increase in the number of cells) [40]. Other work supported this finding into the 2000s [41, 42], and eventually some evidence pointed towards the same in humans [43, 44]. However, hippocampal volume was not successful as a biomarker for depression because of individual variability in hippocampal size and overlap with other illnesses [45–47].

The proposed mechanism for the neuroplasticity theory is that stress and depression induce glucocorticoids (stress hormones) which decrease glutamate [48] and serotonin levels [49–51]. Decreased glutamate can cause widespread morphological changes in the hippocampus [52]. Serotonin is a well-known neuroplastic factor [53], however the inherent question here is can glutamate itself be pharmacologically targeted for depression?

Ketamine

Ketamine is an NMDA (glutamate) receptor antagonist [54] which caused much excitement as a potential antidepressant in 2000 with the publication of its first double-blind placebo-controlled trial for major depression [55]. A contributing factor to the buzz around ketamine was the rapidity of onset as an antidepressant. Whereas SSRIs typically need to be administered for several weeks for clinical effects, several studies have shown that antidepressant effects could be achieved within hours or days of a single subanesthetic dose of ketamine given intravenously [55–59].

The mechanisms for this rapid onset of action are still being studied [60, 61], but it has been found that a single ketamine dose rapidly increases the number and function of synapses. This plasticity is thought to arise from a surge of glutamate that causes the release of brain-derived neurotrophic factor (BDNF), activation of mechanistic target of rapamycin complex 1 (mTORC1) [62] and tropomyosin-related kinase receptor B - protein kinase B (TrkB-Akt) signalling, and the rapid synthesis of synaptic proteins that contribute to the formation of new synapses (see Fig. 1) [62–64].

Fig. 1.

Fig. 1

Mechanism of ketamine action on plasticity, taken from Duman [63].

While the effects of ketamine on plasticity are consistent, one study found that the antidepressant effects of ketamine are independent of the effects on neuroplasticity, implying other nuances in the mechanisms of action [65]. In addition, ketamine’s effectiveness as an antidepressant is variable and very difficult to compare to SSRIs. This is because typically, only patients who do not respond to SSRIs undergo ketamine therapy. Moreover, there are ethical and safety concerns around ketamine because of its potential for abuse and its toxicity [66–68].

As ketamine was being explored for its antidepressant effects, a parallel new idea was brewing. It is well known that psychedelics are neuroplastic agents [69], and after some clinical success using psychedelics to treat obsessive compulsive disorder [70] and tobacco [71] and alcohol addiction [72], a natural new direction was to explore psychedelics in depression.

Psychedelics

Psychedelics, such as psilocybin, are powerful serotonergic hallucinogens that have long been known to alter perception and affect cognitive processes [73]. Importantly, these agents are known to affect mood [73]. There were clinical studies in the mid-2010s, using small patient cohorts (10–20 patients per study), that found promise in psychedelic therapy for recurrent or treatment resistant depression [74–77]. A key feature of these studies is that the psychedelic was administered in conjunction with psychotherapy. Psychotherapy is known to change brain function [78] in a way that suggests plasticity is involved [79, 80]. One notion is that the connections associated with painful memories/stress/trauma are gradually replaced and/or overwritten with a larger number of connections that cue more positive emotions.

Therefore, one way to integrate psychotherapy with psychedelic therapy is to suppose that serotonergic psychedelics render the effect of psychotherapy more effective and efficient. Indeed, it was hypothesized by Carhart Harris et al. that the therapeutic effects of psychedelics are “fundamentally reliant on context” [81]. Hence, providing psychological support and a positive environment (good atmosphere) is a key component for clinical success. Not providing the correct environment or support means that the treatment may not only be clinically ineffective but also potentially harmful [82]. As such, the state-of-the-art psychedelic treatment involves the patients being treated with psilocybin in a custom-designed treatment room with low lighting, music and full support from two councilors at all times [83]. The psychotherapy includes preparation and integration sessions which taken together constitutes a considerable amount of time. The neuroplastic effects of the psychedelics, therefore, are very much guided by a positive environment and psychological guidance.

In sum, ketamine and psychedelics are exciting avenues of research for depression that are being actively trialed and explored. There are, however, concerns that both are controlled substances with abuse potential and limited effectiveness. Therefore, the community is eagerly anticipating the results of large-scale trials for drug efficacy and safety.

Cytokine/inflammation theory of depression

“Depression is caused by immune activation” Early 1990s.

In parallel to the plasticity theory of depression, another hypothesis was being developed, based on inflammation. In 1991, Ronald Smith, professor of Chemistry and Nutrition at Gavilan College, published a new hypothesis of depression in a paper entitled “The Macrophage Theory of Depression” [84]. In the work, he argued that cytokine secretion was the cause of depression under several points of rationale, but most importantly, human volunteers that were treated with cytokines developed depressive-like behaviors [85]. This notion was quickly backed up in 2 papers from Maes et al., who suggested that sickness behavior and depression share common pathways in the form of immune activation [86, 87]. Since these early papers, a superfluity of studies have linked inflammation to depression, with a comprehensive summary of the literature provided in a review by Nemeroff and colleagues [88].

Inflammation is a general term we use here to include the dysfunction of hypothalamic-pituitary-adrenal axis (HPA) gut-brain axis and endocrine systems. It is essentially undisputed that chronic illnesses and depression are comorbid and the precise mechanisms of how inflammation drives behavior are still being elucidated. Chronic illnesses such as chronic stress [89–91], hypertension [92, 93], and HIV [94] carry with them a greater rate of depression diagnosis compared to the general population. Recent findings from the COVID pandemic further bolster the connection between inflammation (in this case acute inflammation triggering a storm of pro-inflammatory cytokines such as interleukin-6 (IL-6), tumor necrosis factor-alphaTNF-α), and interleukin-1 betaIL-1β)) and depression [95, 96]. This mechanism is clearly considerably complicated involving blood brain barrier function [97] and overproduction of these cytokines [98]. Cytokines have been shown to directly affect brain function by altering neurotransmitters [99, 100] in particular the mood driving serotonin, dopamine, and norepinephrine. The effects of inflammation on these monoamine levels in the brain has recently been reviewed by Batey et al. [101] Lipopolysaccharide (LPS)—induced inflammation, through varied and nuanced mechanisms involving the blood brain barrier [102], reduces the brain’s serotonin and dopamine signaling and increases norepinephrine signaling [101]. This effect on mood-altering neurotransmitters begs the question, why does inflammation induce depressive behavior? Early evolutionary immune pressures were primarily pathogenic in nature and the mood response was directed towards energy conservation for healing and recovery. In modern society, where pathogens are less of a challenge, social issues (e.g. stress) have become the predominant immune activator, as seen in Fig. 2. The latter is less tangibly resolved and can often be chronic [103].

Fig. 2.

Fig. 2

Evolutionary hypothesis of inflammation and depression, taken from Miller et al. [103]

The effect on inflammation on neuroplasticity is also increasingly being appreciated. Researchers have found that inflammatory conditions including chronic stress [104], stroke [105], traumatic brain injury [106] and multiple sclerosis [107] coincide with plasticity changes. The link between inflammation and plasticity is likely microglial BDNF mediated [108, 109].

There is compelling evidence to show that patients with high levels of inflammation are more likely to be resistant to conventional SSRI treatment [110]. In animal work, SSRIs were shown to be less capable of restoring serotonin levels under inflammation. This was due to inflammation-induced brain histamine which inhibits serotonin via H3 receptors [111]. Figure 3 shows basal serotonin measurements in the mouse hippocampus. Two cohorts (red and purple) received peripheral LPS and very rapidly the serotonin levels declined. Serotonin levels could not be recovered to control values with escitalopram alone (red). The co-application of an agent that inhibited histamine synthesis (purple) was necessary to resolve the serotonin levels to control values. Therefore, utilizing anti-inflammatory therapies may represent an exciting new avenue for depression.

Fig. 3.

Fig. 3

Peripheral LPS effects on brain serotonin. Taken and modified from Hersey et al. [111]

The literature on using anti-inflammatories as a depression treatment is mixed but shows some promise [112–115]. Non-steroidal anti-inflammatory drugs (NSAIDs) and cytokine inhibitors are the main therapies used [116, 117], but there are also many adjuncts such as statins [113]. Interestingly, ketamine and psychedelics are also considered to have anti-inflammatory properties [118, 119].

A challenge with this anti-inflammatory treatment is dosage. Recent reviews of the clinical literature that correlate markers of inflammation to depression concluded that inflammatory responses in depressed patients were different from control patients in approximately one-third of subjects (similar to SSRIs). The studies reviewed disagreed on the direction and the magnitude of the differences [113, 114, 120]. This is an extremely important aspect to decode when trying to treat depression with anti-inflammatories since there is evidence showing that using anti-inflammatory agents in patients without inflammation can lead to adverse outcomes [121].

In sum, the inflammation theory of depression describes a potential behavioral outcome of the evolutionary response to acute and chronic illnesses and to modern stressors. Anti-inflammatories serve as an exciting new therapy for the treatment of depression with the remaining challenges for type, dose and side effects.

Three theories: one story

It is clear to see, now, that the three main theories of depression are small parts of the same jigsaw puzzle (Fig. 4). During inflammation, the body has evolved to conserve energy to recover, thus, mood-driving monoamine levels change to achieve this outcome. While the sickness behavior serves its purpose evolutionarily, in modern sanitized societies, the response is synonymous with stress. Low serotonin is not a cause but a consequence of depression and can serve as an indicator to diagnose and monitor depression progression. Targeting serotonin does not necessarily help patients recover from depression, since the cause of depression often lies in inflammation rather than a singular marker in serotonin. This issue leaves the majority of depressed patients (with differing levels of inflammation) partially or totally unresponsive to SSRIs.

Fig. 4.

Fig. 4

Diagram of three theories of depression: plasticity, monoamine and inflammation. Figure created with BioRender

This lower serotonin, along with lower glutamate and other facets of inflammation, decreases hippocampal plasticity which can be recovered to differing extents with SSRIs, ketamine and psychedelics, though none are universally efficacious. Again, this is because the loss of neuronal connections is a result (marker) and not the cause of depression.

The issue of targeting inflammation is complicated. A big challenge is creating a robust system to measure neuroinflammation as a biomarker of depression. Without this, we don’t know how and when to intervene in the inflammation chain to stop the detrimental effects on mood.

To conclude, we propose that the monoamine, plasticity and inflammation theories of depression are not discrete or in competition with each other. They are, at their core, foundational parts of a larger story. Therefore, improving future treatments is critically dependent on accurately and chemically defining ‘neuroinflammation’ status and considering all three theories for drug discovery.

Acknowledgements

The authors would like to thank the Hashemi Group for helpful discussions.

Author contributions

B.B. and L.B. contributed equally to the work. B.B., L.B., and P.H. researched and wrote the manuscript.

Funding

The authors would like to thank ‘La Caixa’ Foundation (B.B.), The Community for Analytical Measurement Science (CAMS) and Imperial College London for funding this work.

Data availability

No datasets were generated or analysed during the current study.

Declarations

Competing interests

The authors declare no competing interests.

Ethics, consent to Participate, and consent to publish declarations

All authors consent to publishing this work.

Footnotes

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

B. Baumberger and L. Batey contributed equally to this work.

References

  • 1.Robison RA, Taghva A, Liu CY, Apuzzo MLJ. Surgery of the mind, mood, and conscious state: an idea in evolution. World Neurosurg. 2012;77(5):662–86. 10.1016/j.wneu.2012.03.005. [DOI] [PubMed] [Google Scholar]
  • 2.Giraldi T. Melancholy and depression. In: Giraldi T, editor. Unhappiness, sadness and ‘depression’: antidepressants and the mental disorder epidemic. Ed.; Springer; 2017. pp. 5–14.
  • 3.Braslow J. Mental ills and bodily cures: psychiatric treatment in the first half of the twentieth century. Univ of California; 2023.
  • 4.Weber MM, Emrich HM. Current and historical concepts of opiate treatment in psychiatric disorders. Int Clin Psychopharmacol. 1988;3(3):255–66. [DOI] [PubMed] [Google Scholar]
  • 5.López-Muñoz F, Ucha-Udabe R, Alamo C. The history of barbiturates a century after their clinical introduction. Neuropsychiatr Dis Treat. 2005;1(4):329–43. [PMC free article] [PubMed] [Google Scholar]
  • 6.Rosenfeld L, Insulin. Discovery and controversy. Clin Chem. 2002;48(12):2270–88. 10.1093/clinchem/48.12.2270. [PubMed] [Google Scholar]
  • 7.Sakel M, The nature and, origin of the hypoglycemic. treatment of psychoses. Am J Psychiatry. 1938;94(6S):24–40.
  • 8.Cummins JA, The treatment of mental, illnesses with metrazol. (Preliminary report on Seventy-six Patients). Can Med Assoc J. 1940;42(1):39–45. From NLM. [PMC free article] [PubMed] [Google Scholar]
  • 9.Shorter E, Healy D. Shock therapy: a history of electroconvulsive treatment in mental illness. New Brunswick: Rutgers University Press; 2007.
  • 10.Rasmussen N. America’s first amphetamine epidemic 1929–1971: a quantitative and qualitative retrospective with implications for the present. Am J Public Health. 2008;98(6):974–85. 10.2105/ajph.2007.110593. From NLM. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Goodman LS. Goodman and gilman’s the Pharmacological basis of therapeutics. New York: McGraw-Hill; 1996. [Google Scholar]
  • 12.Ingersoll J, Amphetamine. Methamphetamine, and optical isomers. Federal Register 1971.
  • 13.AB NPO. The nobel prize in physiology or medicine 1949 - António Egas Moniz. 1949. Acccessed 3 Dec 2024.
  • 14.O’Connor JB. Side effects accompanying use of Iproniazid. Am Rev Tuberculosis. 1953;68(2):270–2. [DOI] [PubMed] [Google Scholar]
  • 15.Schindler W, Häfliger F. Über derivate des Iminodibenzyls. Helv Chim Acta. 1954;37(2):472–83. [Google Scholar]
  • 16.Lehmann HE, Cahn CH, De Verteuil RL. The treatment of depressive conditions with Imipramine (G 22355). Can Psychiatric Assoc J. 1958;3(4):155–64. 10.1177/070674375800300401. [DOI] [PubMed] [Google Scholar]
  • 17.Kuhn R, The treatment of depressive states, with G 22355 (IMIPRAMINE HYDROCHLORIDE). Am J Psychiatry. 1958;115(5):459–64. 10.1176/ajp.115.5.459. [DOI] [PubMed] [Google Scholar]
  • 18.Schatzberg AF. Noradrenergic versus serotonergic antidepressants: predictors of treatment response. J Clin Psychiatry. 1998;59(14):15–8. [PubMed] [Google Scholar]
  • 19.Shaw DM, Camps FE, Eccleston EG. 5-Hydroxytryptamine in the hind-brain of depressive suicides. Br J Psychiatry. 1967;113(505):1407–11. [DOI] [PubMed] [Google Scholar]
  • 20.Bunney WE, Davis JM. Norepinephrine in depressive reactions: a review. Arch Gen Psychiatry. 1965;13(6):483–94. [DOI] [PubMed] [Google Scholar]
  • 21.Schildkraut JJ. The catecholamine hypothesis of affective disorders: a review of supporting evidence. Am J Psychiatry. 1965;122(5):509–22. [DOI] [PubMed] [Google Scholar]
  • 22.Wong DT, Horng JS, Bymaster FP, Hauser KL, Molloy BB. A selective inhibitor of serotonin uptake: Lilly 110140, 3-(p-Trifluoromethylphenoxy)-n-methyl-3-phenylpropylamine. Life Sci. 1974;15(3):471–9. 10.1016/0024-3205(74)90345-2. [DOI] [PubMed] [Google Scholar]
  • 23.Fuller RW, Perry KW, Molloy BB. Effect of an uptake inhibitor on serotonin metabolism in rat brain: studies with 3-(p-trifluoromethylphenoxy)-N-methyl-3-phenylpropylamine (Lilly 110140). Life Sci. 1974;15(6):1161–71. [DOI] [PubMed] [Google Scholar]
  • 24.Wong DT, Perry KW, Bymaster FP. The discovery of Fluoxetine hydrochloride (Prozac). Nat Rev Drug Discov. 2005;4(9):764–74. 10.1038/nrd1821. [DOI] [PubMed] [Google Scholar]
  • 25.Jauhar S, Cowen PJ, Browning M. Fifty years on: serotonin and depression. J Psychopharmacol. 2023;37(3):237–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Fakhoury M. Revisiting the serotonin hypothesis: implications for major depressive disorders. Mol Neurobiol. 2016;53:2778–86. [DOI] [PubMed] [Google Scholar]
  • 27.Belujon P, Grace AA. Dopamine system dysregulation in major depressive disorders. Int J Neuropsychopharmacol. 2017;20(12):1036–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Felger JC. The role of dopamine in inflammation-associated depression: mechanisms and therapeutic implications. Inflamm-Depression Evid Mech Implicat 2017, 199–219. [DOI] [PubMed]
  • 29.Seki K, Yoshida S, Jaiswal MK. Molecular mechanism of noradrenaline during the stress-induced major depressive disorder. Neural Regener Res. 2018;13(7):1159–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Maletic V, Eramo A, Gwin K, Offord SJ, Duffy RA. The role of norepinephrine and its α-adrenergic receptors in the pathophysiology and treatment of major depressive disorder and schizophrenia: a systematic review. Front Psychiatry. 2017;8:42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Erritzoe D, Godlewska BR, Rizzo G, Searle GE, Agnorelli C, Lewis Y, Ashok AH, Colasanti A, Boura I, Farrell C. Brain serotonin release is reduced in patients with depression: a [11 C] Cimbi-36 positron emission tomography study with a d-amphetamine challenge. Biol Psychiatry. 2023;93(12):1089–98. [DOI] [PubMed] [Google Scholar]
  • 32.Cipriani A, Furukawa TA, Salanti G, Chaimani A, Atkinson LZ, Ogawa Y, Leucht S, Ruhe HG, Turner EH, Higgins JPT, et al. Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis. Lancet. 2018;391(10128):1357–66. 10.1016/S0140-6736(17)32802-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Choi S. Nefazodone (Serzone) withdrawn because of hepatotoxicity. CMAJ. 2003;169(11):1187. From NLM. [PMC free article] [PubMed] [Google Scholar]
  • 34.Alvarez-Buylla A, García-Verdugo JM. Neurogenesis in adult subventricular zone. J Neurosci. 2002;22(3):629–34. 10.1523/jneurosci.22-03-00629.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Eriksson PS, Perfilieva E, Björk-Eriksson T, Alborn A-M, Nordborg C, Peterson DA, Gage FH. Neurogenesis in the adult human hippocampus. Nat Med. 1998;4(11):1313–7. [DOI] [PubMed] [Google Scholar]
  • 36.Sheline YI, Wang PW, Gado MH, Csernansky JG, Vannier MW. Hippocampal atrophy in recurrent major depression. Proc Natl Acad Sci 1996;93(9):3908–3913. [DOI] [PMC free article] [PubMed]
  • 37.Sheline YI, Sanghavi M, Mintun MA, Gado MH. Depression duration but not age predicts hippocampal volume loss in medically healthy women with recurrent major depression. J Neurosci. 1999;19(12):5034–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Bremner JD, Randall P, Scott TM, Bronen RA, Seibyl JP, Southwick SM, Delaney RC, McCarthy G, Charney DS, Innis RB. MRI-based measurement of hippocampal volume in patients with combat-related posttraumatic stress disorder. Am J Psychiatry. 1995;152(7):973–81. 10.1176/ajp.152.7.973. From NLM. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Sapolsky RM. Stress, glucocorticoids, and damage to the nervous system: the current state of confusion. Stress. 1996;1(1):1–19. [DOI] [PubMed] [Google Scholar]
  • 40.Jacobs B, Fornal C. Chronic Fluoxetine treatment increases hippocampal neurogenesis in rats: a novel theory of depression. Soc Neurosci Abstr. 1999;25:714. [Google Scholar]
  • 41.Encinas JM, Vaahtokari A, Enikolopov G. Fluoxetine targets early progenitor cells in the adult brain. Proc Natl Acad Sci. 2006;103(21):8233–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Malberg JE, Eisch AJ, Nestler EJ, Duman RS. Chronic antidepressant treatment increases neurogenesis in adult rat hippocampus. J Neurosci. 2000;20(24):9104–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Frodl T, Jäger M, Smajstrlova I, Born C, Bottlender R, Palladino T, Reiser M, Möller H-J, Meisenzahl EM. Effect of hippocampal and amygdala volumes on clinical outcomes in major depression: a 3-year prospective magnetic resonance imaging study. J Psychiatry Neurosci. 2008;33(5):423–30. [PMC free article] [PubMed] [Google Scholar]
  • 44.Sheline YI, Gado MH, Kraemer HC. Untreated depression and hippocampal volume loss. Am J Psychiatry. 2003;160(8):1516–8. [DOI] [PubMed] [Google Scholar]
  • 45.Amico F, Meisenzahl E, Koutsouleris N, Reiser M, Möller H-J, Frodl T. Structural MRI correlates for vulnerability and resilience to major depressive disorder. J Psychiatry Neurosci. 2011;36(1):15–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Ruchinskas R, Nguyen T, Womack K, Khera A, Fang FY, Kelley BJ. Diagnostic utility of hippocampal volumetric data in a memory disorder clinic setting. Cogn Behav Neurol. 2022;35(1):66–75. [DOI] [PubMed] [Google Scholar]
  • 47.Gosnell SN, Meyer MJ, Jennings C, Ramirez D, Schmidt J, Oldham J, Salas R. Hippocampal volume in psychiatric diagnoses: should psychiatry biomarker research account for comorbidities? Chronic Stress. 2020;4:2470547020906799. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Di S, Maxson MM, Franco A, Tasker JG. Glucocorticoids regulate glutamate and GABA synapse-specific retrograde transmission via divergent nongenomic signaling pathways. J Neurosci. 2009;29(2):393–401. 10.1523/jneurosci.4546-08.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Haleem DJ. Glucocorticoids in the physiological and transcriptional regulation of 5-HT1A receptor and the pathogenesis of depression. Neuroscientist. 2022;28(1):59–68. [DOI] [PubMed] [Google Scholar]
  • 50.Lanfumey L, Mongeau R, Cohen-Salmon C, Hamon M. Corticosteroid–serotonin interactions in the Neurobiological mechanisms of stress-related disorders. Neurosci Biobehav Rev. 2008;32(6):1174–84. 10.1016/j.neubiorev.2008.04.006. [DOI] [PubMed] [Google Scholar]
  • 51.Sapolsky RM. Why stress is bad for your brain. Science. 1996;273(5276):749–50. 10.1126/science.273.5276.749. [DOI] [PubMed] [Google Scholar]
  • 52.Zhang Y, Bhavnani BR. Glutamate-induced apoptosis in neuronal cells is mediated via caspase-dependent and independent mechanisms involving Calpain and caspase-3 proteases as well as apoptosis inducing factor (AIF) and this process is inhibited by equine estrogens. BMC Neurosci. 2006;7:49. 10.1186/1471-2202-7-49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Kraus C, Castrén E, Kasper S, Lanzenberger R. Serotonin and neuroplasticity–links between molecular, functional and structural pathophysiology in depression. Neurosci Biobehav Rev. 2017;77:317–26. 10.1016/j.neubiorev.2017.03.007. [DOI] [PubMed] [Google Scholar]
  • 54.Moghaddam B, Adams B, Verma A, Daly D. Activation of glutamatergic neurotransmission by ketamine: a novel step in the pathway from NMDA receptor Blockade to dopaminergic and cognitive disruptions associated with the prefrontal cortex. J Neurosci. 1997;17(8):2921–7. 10.1523/jneurosci.17-08-02921.1997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Berman RM, Cappiello A, Anand A, Oren DA, Heninger GR, Charney DS, Krystal JH. Antidepressant effects of ketamine in depressed patients. Biol Psychiatry. 2000;47(4):351–4. 10.1016/S0006-3223(99)00230-9. [DOI] [PubMed] [Google Scholar]
  • 56.Zarate CA Jr., Singh JB, Carlson PJ, Brutsche NE, Ameli R, Luckenbaugh DA, Charney DS, Manji H. K. A randomized trial of an N-methyl-D-aspartate antagonist in treatment-resistant major depression. Arch Gen Psychiatry. 2006;63(8):856–64. 10.1001/archpsyc.63.8.856. [DOI] [PubMed] [Google Scholar]
  • 57.Aan Het Rot M, Collins KA, Murrough JW, Perez AM, Reich DL, Charney DS, Mathew SJ. Safety and efficacy of repeated-dose intravenous ketamine for treatment-resistant depression. Biol Psychiatry. 2010;67(2):139–45. [DOI] [PubMed] [Google Scholar]
  • 58.Murrough JW, Iosifescu DV, Chang LC, Al Jurdi RK, Green CE, Perez AM, Iqbal S, Pillemer S, Foulkes A, Shah A. Antidepressant efficacy of ketamine in treatment-resistant major depression: a two-site randomized controlled trial. Am J Psychiatry. 2013;170(10):1134–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Murrough JW, Perez AM, Pillemer S, Stern J, Parides MK, aan het Rot M, Collins KA, Mathew SJ, Charney DS, Iosifescu DV. Rapid and longer-term antidepressant effects of repeated ketamine infusions in treatment-resistant major depression. Biol Psychiatry. 2013;74(4):250–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Zanos P, Gould TD. Mechanisms of ketamine action as an antidepressant. Mol Psychiatry. 2018;23(4):801–11. 10.1038/mp.2017.255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Krystal JH, Kavalali ET, Monteggia LM. Ketamine and rapid antidepressant action: new treatments and novel synaptic signaling mechanisms. Neuropsychopharmacology. 2024;49(1):41–50. 10.1038/s41386-023-01629-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Li N, Lee B, Liu R-J, Banasr M, Dwyer JM, Iwata M, Li X-Y, Aghajanian G, Duman RS. mTOR-Dependent synapse formation underlies the rapid antidepressant effects of NMDA antagonists. Science. 2010;329(5994):959–64. 10.1126/science.1190287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Duman RS. Ketamine and rapid-acting antidepressants: a new era in the battle against depression and suicide. F1000Res. 2018;7. 10.12688/f1000research.14344.1. [DOI] [PMC free article] [PubMed]
  • 64.Li N, Liu R-J, Dwyer JM, Banasr M, Lee B, Son H, Li X-Y, Aghajanian G, Duman RS. Glutamate N-methyl-D-aspartate receptor antagonists rapidly reverse behavioral and synaptic deficits caused by chronic stress exposure. Biol Psychiatry. 2011;69(8):754–61. 10.1016/j.biopsych.2010.12.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Soumier A, Carter RM, Schoenfeld TJ, Cameron HA. New hippocampal neurons mature rapidly in response to ketamine but are not required for its acute antidepressant effects on neophagia in rats. Eneuro 2016, 3 (2). [DOI] [PMC free article] [PubMed]
  • 66.Zhang MW, Harris KM, Ho RC. Is Off-label repeat prescription of ketamine as a rapid antidepressant safe? Controversies, ethical concerns, and legal implications. BMC Med Ethics. 2016;17(1):4. 10.1186/s12910-016-0087-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Singh I, Morgan C, Curran V, Nutt D, Schlag A, McShane R. Ketamine treatment for depression: opportunities for clinical innovation and ethical foresight. Lancet Psychiatry. 2017;4(5):419–26. 10.1016/S2215-0366(17)30102-5. [DOI] [PubMed] [Google Scholar]
  • 68.Zhang MW, Ho RC. Ethical considerations for clinical research and Off-label use of ketamine to treat mood disorders: the balance between risks and benefits. Ethics Behav. 2017;27(8):681–99. 10.1080/10508422.2016.1189333. [Google Scholar]
  • 69.Vollenweider FX, Kometer M. The neurobiology of psychedelic drugs: implications for the treatment of mood disorders. Nat Rev Neurosci. 2010;11(9):642–51. 10.1038/nrn2884. [DOI] [PubMed] [Google Scholar]
  • 70.Moreno FA, Wiegand CB, Taitano EK, Delgado PL. Safety, tolerability, and efficacy of psilocybin in 9 patients with obsessive-compulsive disorder. J Clin Psychiatry. 2006;67(11):1735–40. [DOI] [PubMed] [Google Scholar]
  • 71.Johnson MW, Garcia-Romeu A, Cosimano MP, Griffiths RR. Pilot study of the 5-HT2AR agonist psilocybin in the treatment of tobacco addiction. J Psychopharmacol. 2014;28(11):983–92. 10.1177/0269881114548296. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Bogenschutz MP, Forcehimes AA, Pommy JA, Wilcox CE, Barbosa P, Strassman RJ. Psilocybin-assisted treatment for alcohol dependence: a proof-of-concept study. J Psychopharmacol. 2015;29(3):289–99. 10.1177/0269881114565144. [DOI] [PubMed] [Google Scholar]
  • 73.Nichols DE, Psychedelics. Pharmacol Rev. 2016;68(2):264–355. 10.1124/pr.115.011478. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Gasser P, Holstein D, Michel Y, Doblin R, Yazar-Klosinski B, Passie T, Brenneisen R. Safety and efficacy of lysergic acid Diethylamide-Assisted psychotherapy for anxiety associated with Life-threatening diseases. J Nerv Ment Dis. 2014;202(7):513–20. 10.1097/nmd.0000000000000113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Griffiths RR, Johnson MW, Carducci MA, Umbricht A, Richards WA, Richards BD, Cosimano MP, Klinedinst MA. Psilocybin produces substantial and sustained decreases in depression and anxiety in patients with life-threatening cancer: a randomized double-blind trial. J Psychopharmacol. 2016;30(12):1181–97. 10.1177/0269881116675513. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Grob CS, Danforth AL, Chopra GS, Hagerty M, McKay CR, Halberstadt AL, Greer GR. Pilot study of psilocybin treatment for anxiety in patients with Advanced-Stage cancer. Arch Gen Psychiatry. 2011;68(1):71–8. 10.1001/archgenpsychiatry.2010.116. [DOI] [PubMed] [Google Scholar]
  • 77.Ross S, Bossis A, Guss J, Agin-Liebes G, Malone T, Cohen B, Mennenga SE, Belser A, Kalliontzi K, Babb J, et al. Rapid and sustained symptom reduction following psilocybin treatment for anxiety and depression in patients with life-threatening cancer: a randomized controlled trial. J Psychopharmacol. 2016;30(12):1165–80. 10.1177/0269881116675512. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Straub J, Plener PL, Sproeber N, Sprenger L, Koelch MG, Groen G, Abler B. Neural correlates of successful psychotherapy of depression in adolescents. J Affect Disord. 2015;183:239–46. 10.1016/j.jad.2015.05.020. [DOI] [PubMed] [Google Scholar]
  • 79.Goldapple K, Segal Z, Garson C, Lau M, Bieling P, Kennedy S, Mayberg H. Modulation of Cortical-Limbic pathways in major depression: treatment-Specific effects of cognitive behavior therapy. Arch Gen Psychiatry. 2004;61(1):34–41. 10.1001/archpsyc.61.1.34. [DOI] [PubMed] [Google Scholar]
  • 80.Kunas SL, Yang Y, Straube B, Kircher T, Gerlach AL, Pfleiderer B, Arolt V, Wittmann A, Stroehle A, Wittchen H-U, et al. The impact of depressive comorbidity on neural plasticity following cognitive-behavioral therapy in panic disorder with agoraphobia. J Affect Disord. 2019;245:451–60. 10.1016/j.jad.2018.11.026. [DOI] [PubMed] [Google Scholar]
  • 81.Carhart-Harris RL, Roseman L, Haijen E, Erritzoe D, Watts R, Branchi I, Kaelen M. Psychedelics and the essential importance of context. J Psychopharmacol. 2018;32(7):725–31. 10.1177/0269881118754710. [DOI] [PubMed] [Google Scholar]
  • 82.Erritzoe D, Richards WA. Lessons to be learned from early psychedelic therapy in Denmark. Taylor & Francis: 2017; 71, pp 487–488. [DOI] [PubMed]
  • 83.Carhart-Harris RL, Bolstridge M, Rucker J, Day CMJ, Erritzoe D, Kaelen M, Bloomfield M, Rickard JA, Forbes B, Feilding A, et al. Psilocybin with psychological support for treatment-resistant depression: an open-label feasibility study. Lancet Psychiatry. 2016;3(7):619–27. 10.1016/S2215-0366(16)30065-7. [DOI] [PubMed] [Google Scholar]
  • 84.Smith RS. The macrophage theory of depression. Med Hypotheses 1991;35(4):298–306. 10.1016/0306-9877(91)90272-Z. [DOI] [PubMed] [Google Scholar]
  • 85.Niiranen A, Laaksonen R, Livanainen M, Mattson K, Färkkilä M, Cantell K. Behavioral assessment of patients treated with alpha-interferon. Acta Psychiatrica Scand. 1988;78(5):622–6. [DOI] [PubMed] [Google Scholar]
  • 86.Maes M, Meltzer HY, Bosmans E, Bergmans R, Vandoolaeghe E, Ranjan R, Desnyder R. Increased plasma concentrations of interleukin-6, soluble interleukin-6, soluble interleukin-2 and transferrin receptor in major depression. J Affect Disord. 1995;34(4):301–9. [DOI] [PubMed] [Google Scholar]
  • 87.Maes M, Vandoolaeghe E, Ranjan R, Bosmans E, Bergmans R, Desnyder R. Increased serum interleukin-1-receptor-antagonist concentrations in major depression. J Affect Disord. 1995;36(1):29–36. 10.1016/0165-0327(95)00049-6. [DOI] [PubMed] [Google Scholar]
  • 88.Beurel E, Toups M, Nemeroff CB. The bidirectional relationship of depression and inflammation: double trouble. Neuron. 2020;107(2):234–56. 10.1016/j.neuron.2020.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Bartolomucci A, Leopardi R. Stress and depression: preclinical research and clinical implications. PLoS ONE. 2009;4(1):e4265. 10.1371/journal.pone.0004265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Anderson RJ, Freedland KE, Clouse RE, Lustman PJ. The prevalence of comorbid depression in adults with diabetes: a meta-analysis. Diabetes Care. 2001;24(6):1069–78. 10.2337/diacare.24.6.1069. [DOI] [PubMed] [Google Scholar]
  • 91.Pickup JC, Crook MA. Is type II diabetes mellitus a disease of the innate immune system? Diabetologia 1998, 41 (10), 1241–8. 10.1007/s001250051058 [DOI] [PubMed]
  • 92.Meng L, Chen D, Yang Y, Zheng Y, Hui R. Depression increases the risk of hypertension incidence: a meta-analysis of prospective cohort studies. J Hypertens. 2012;30(5):842–51. 10.1097/HJH.0b013e32835080b7. [DOI] [PubMed] [Google Scholar]
  • 93.Spruill TM. Chronic psychosocial stress and hypertension. Curr Hypertens Rep. 2010;12(1):10–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Ciesla JA, Roberts JE. Meta-Analysis of the relationship between HIV infection and risk for depressive disorders. Am J Psychiatry. 2001;158(5):725–30. 10.1176/appi.ajp.158.5.725. [DOI] [PubMed] [Google Scholar]
  • 95.Mazza MG, De Lorenzo R, Conte C, Poletti S, Vai B, Bollettini I, Melloni EMT, Furlan R, Ciceri F, Rovere-Querini P, et al. Anxiety and depression in COVID-19 survivors: role of inflammatory and clinical predictors. Brain Behav Immun. 2020;89:594–600. 10.1016/j.bbi.2020.07.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Shetty PA, Ayari L, Madry J, Betts C, Robinson DM, Kirmani BF. The relationship between COVID-19 and the development of depression: implications on mental health. Neurosci Insights. 2023;18:26331055231191513. 10.1177/26331055231191513. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Turkheimer FE, Veronese M, Mondelli V, Cash D, Pariante CM. Sickness behaviour and depression: an updated model of peripheral-central immunity interactions. Brain Behav Immun. 2023;111:202–10. 10.1016/j.bbi.2023.03.031. [DOI] [PubMed] [Google Scholar]
  • 98.Raison CL, Dantzer R, Kelley KW, Lawson MA, Woolwine BJ, Vogt G, Spivey JR, Saito K, Miller AH. CSF concentrations of brain Tryptophan and kynurenines during immune stimulation with IFN-α: relationship to CNS immune responses and depression. Mol Psychiatry. 2010;15(4):393–403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Dunn AJ. Effects of cytokines and infections on brain neurochemistry. Clin Neurosci Res. 2006;6(1):52–68. 10.1016/j.cnr.2006.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Miller AH, Haroon E, Raison CL, Felger JC. Cytokine targets in the brain: impact on neurotransmitters and neurocircuits. Depress Anxiety. 2013;30(4):297–306. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Batey L, Baumberger B, Khoshbouei H, Hashemi P. Lipopolysaccharide effects on neurotransmission: understanding implications for depression. ACS Chem Neurosci. 2024. 10.1021/acschemneuro.4c00591. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Medina-Rodriguez EM, Beurel E. Blood brain barrier and inflammation in depression. Neurobiol Dis. 2022;175:105926. 10.1016/j.nbd.2022.105926. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Miller AH, Raison CL. The role of inflammation in depression: from evolutionary imperative to modern treatment target. Nat Rev Immunol. 2016;16(1):22–34. 10.1038/nri.2015.5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Pittenger C, Duman RS, Stress. Depression, and neuroplasticity: a convergence of mechanisms. Neuropsychopharmacology. 2008;33(1):88–109. 10.1038/sj.npp.1301574. [DOI] [PubMed] [Google Scholar]
  • 105.Wang Y, Leak RK, Cao G. Microglia-mediated neuroinflammation and neuroplasticity after stroke. Front Cell Neurosci. 2022;16:980722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Calderone A, Latella D, Cardile D, Gangemi A, Corallo F, Rifici C, Quartarone A, Calabrò RS. The role of neuroinflammation in shaping neuroplasticity and recovery outcomes following traumatic brain injury: a systematic review. Int J Mol Sci. 2024;25(21):11708. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Mancini A, Gaetani L, Di Gregorio M, Tozzi A, Ghiglieri V, Calabresi P, Di Filippo M. Hippocampal neuroplasticity and inflammation: relevance for multiple sclerosis. Multiple Scler Demyelinating Disorders. 2017;2(1):2. 10.1186/s40893-017-0019-1. [Google Scholar]
  • 108.Singhal G, Baune BT. Microglia: an interface between the loss of neuroplasticity and depression. Front Cell Neurosci. 2017;11:270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Calabrese F, Rossetti AC, Racagni G, Gass P, Riva MA, Molteni R. Brain-derived neurotrophic factor: a bridge between inflammation and neuroplasticity. Front Cell Neurosci. 2014;8:430. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Haroon E, Daguanno AW, Woolwine BJ, Goldsmith DR, Baer WM, Wommack EC, Felger JC, Miller AH. Antidepressant treatment resistance is associated with increased inflammatory markers in patients with major depressive disorder. Psychoneuroendocrinology. 2018;95:43–9. 10.1016/j.psyneuen.2018.05.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Hersey M, Samaranayake S, Berger SN, Tavakoli N, Mena S, Nijhout HF, Reed MC, Best J, Blakely RD, Reagan L. P. Inflammation-induced Histamine impairs the capacity of Escitalopram to increase hippocampal extracellular serotonin. J Neurosci. 2021;41(30):6564–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Köhler O, Benros ME, Nordentoft M, Farkouh ME, Iyengar RL, Mors O, Krogh J. Effect of anti-inflammatory treatment on depression, depressive Symptoms, and adverse effects: a systematic review and Meta-analysis of randomized clinical trials. JAMA Psychiatry. 2014;71(12):1381–91. 10.1001/jamapsychiatry.2014.1611. [DOI] [PubMed] [Google Scholar]
  • 113.Köhler-Forsberg O, Lydholm N, Hjorthøj C, Nordentoft C, Mors M, Benros O. Efficacy of anti-inflammatory treatment on major depressive disorder or depressive symptoms: meta-analysis of clinical trials. Acta Psychiatrica Scand. 2019;139(5):404–19. 10.1111/acps.13016. [DOI] [PubMed] [Google Scholar]
  • 114.Bai S, Guo W, Feng Y, Deng H, Li G, Nie H, Guo G, Yu H, Ma Y, Wang J, et al. Efficacy and safety of anti-inflammatory agents for the treatment of major depressive disorder: a systematic review and meta-analysis of randomised controlled trials. J Neurol Neurosurg Psychiatry. 2020;91(1):21–32. 10.1136/jnnp-2019-320912. [DOI] [PubMed] [Google Scholar]
  • 115.Husain MI, Strawbridge R, Stokes PR, Young AH. Anti-inflammatory treatments for mood disorders: systematic review and meta-analysis. J Psychopharmacol. 2017;31(9):1137–48. 10.1177/0269881117725711. [DOI] [PubMed] [Google Scholar]
  • 116.Du Y, Dou Y, Wang M, Wang Y, Yan Y, Fan H, Fan N, Yang X, Ma X. Efficacy and acceptability of anti-inflammatory agents in major depressive disorder: a systematic review and meta-analysis. Front Psychiatry. 2024;15:1407529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Hang X, Zhang Y, Li J, Li Z, Zhang Y, Ye X, Tang Q, Sun W. Comparative efficacy and acceptability of anti-inflammatory agents on major depressive disorder: a network meta-analysis. Front Pharmacol. 2021;12:691200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Nichols CD. Psychedelics as potent anti-inflammatory therapeutics. Neuropharmacology. 2022;219:109232. 10.1016/j.neuropharm.2022.109232. [DOI] [PubMed] [Google Scholar]
  • 119.Loix S, De Kock M, Henin P The anti-inflammatory effects ofketamine: state of the art. Acta Anaesthesiol Belg. 2011;62:47–58. [PubMed]
  • 120.Strawbridge R, Young AH, Cleare AJ. Biomarkers for depression: recent insights, current challenges and future prospects. Neuropsychiatr Dis Treat 2017, 1245–62. [DOI] [PMC free article] [PubMed]
  • 121.Arteaga-Henríquez G, Simon MS, Burger B, Weidinger E, Wijkhuijs A, Arolt V, Birkenhager TK, Musil R, Müller N, Drexhage HA. Low-grade inflammation as a predictor of antidepressant and anti-inflammatory therapy response in MDD patients: a systematic review of the literature in combination with an analysis of experimental data collected in the EU-MOODINFLAME consortium. Front Psychiatry. 2019;10:458. [DOI] [PMC free article] [PubMed] [Google Scholar]

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