Abstract
Exposure to stressors during puberty can cause enduring effects on brain functioning and behaviours related to neurodegeneration. However, the mechanisms underlying these effects remain unclear. The gut microbiome is a complex and dynamic system that could serve as a possible mechanism through which early life stress may increase the predisposition to neurodegeneration. Therefore, the current study was designed to examine the acute effects of pubertal antimicrobial and lipopolysaccharide (LPS) treatments on the cellular mechanisms associated with neurodegenerative disorders in male and female mice. At five weeks of age, male and female CD-1 mice received 200 μL of broad-spectrum antimicrobials or water, through oral gavage, twice daily for seven days. Mice received an intraperitoneal (i.p.) injection of either saline or LPS at 6 weeks of age (i.e., pubertal period). Sickness behaviours were recorded and mice were euthanized 8 h post-injection. Following euthanasia, brains and blood samples were collected. The results indicated that puberal antimicrobial and LPS treatment induced sex-dependent changes in biomarkers related to sickness behaviour, peripheral inflammation, intestinal permeability, and neurodegeneration. The findings suggest that pubertal LPS and antimicrobial treatment may increase susceptibility to neurodegenerative diseases later in life, particularly in males.
Keywords: Puberty, Antibiotics, Gut dysbiosis, Inflammation, Sex, Immune system
Highlights
-
•
Pubertal antimicrobial and LPS treatment increase cytokine concentrations.
-
•
Antimicrobial and LPS treatment have sex-specific effects on intestinal permeability.
-
•
They also induce sex-specific changes in neurodegenerative markers.
-
•
Antimicrobial treatment did not potentiate LPS-induced sickness behaviours.
1. Introduction
Neurodegenerative disorders affect millions of individuals worldwide with a sex difference in the prevalence of disorders such as Parkinson's disease (PD), Alzheimer's disease (AD), and multiple sclerosis (Attarian et al., 2015). Neurodegeneration profoundly impacts the central nervous system (CNS), influencing motor skills (e.g., gait, ataxia), cognition (e.g., memory, executive functions) and behaviours (e.g., disinhibition, apathy) (Haack et al., 2016; Levenson et al., 2014; Wirth et al., 2013). Although many theories have attempted to explain the causes of neurodegenerative disorders, little information exists on the etiology of these disorders.
Pubertal stress exposure may increase susceptibility to neurodegeneration later in life (Yahfoufi et al., 2020). Puberty is a critical developmental period marked by CNS remodeling and reorganization (Sisk and Foster, 2004), rendering the CNS particularly sensitive to stressors (Ismail et al., 2011; Murack et al., 2021; Murray et al., 2019, 2020). For example, exposure to a bacterial endotoxin, lipopolysaccharide (LPS), during puberty, causes enduring learning and spatial memory deficits in both male and female mice (Dinel et al., 2014; Kolmogorova et al., 2019) and increases Parkinson-like behaviours in male, but not in female mice (Girard-Joyal and Ismail, 2017). Pubertal LPS treatment has also been shown to increase cytokine concentrations in the periphery (e.g., IL1B, IL6, TNFα, IL-10, IL12, IFNγ) and cytokine mRNA expression in the brain (e.g., IL1B, IL6, TNFα) (Sharma et al., 2018). Furthermore, pubertal LPS treatment causes enduring decreases in glucocorticoid receptor expression in the paraventricular nucleus of the hypothalamus, in male, but not female adult mice (Smith et al., 2021). These findings are significant as alterations in both immune responsivity and stress reactivity have been implicated in the pathogenesis of neurodegeneration (Glass et al., 2010; Vyas and Maatouk, 2013). Taken together, these results suggest that stressors experienced during puberty can cause long-lasting changes in immune responsivity and stress reactivity, which can potentially increase susceptibility to neurodegeneration later in life.
The gut microbiome could mediate the effects of pubertal stress exposure on the immune system and possibly neurodegeneration. Growing evidence suggests that the gut microbiome plays a critical role in the development of the human brain and modulates immune responsivity (Borre et al., 2014; Jašarević et al., 2016). The gut microbiome hosts billions of metabolic, inflammatory, and immune regulating microorganisms (Fung et al., 2017; Qin et al., 2010). Amongst them are bacterial strains that influence neurological functioning and behavioural outcomes (Qin et al., 2010). Microbiota communicate with the brain via enteric and autonomic neuroimmune and neuroendocrine pathways referred to as the “gut-brain” axis. Alterations to gut microbiota results in ‘gut dysbiosis’ and may negatively affect immunomodulation and cause psychiatric disorders (Dinel et al., 2014; Girard-Joyal and Ismail, 2017; Murray et al., 2019). For example, antimicrobial-induced dysbiosis in mice increases the expression of complement 3 (C3) and the anaphylatoxin, C3a, which are associated with the onset and progression of multiple sclerosis (Yadav et al., 2017). Moreover, antimicrobial-induced dysbiosis increases oxidative stress and the concentrations of cytokines and chemokines, as well as the deposition of amyloid beta plaques in mice (Erny et al., 2015; Minter et al., 2016).
Alterations to the composition of the gut microbiome are also implicated in the modulation of several biomarkers associated with the development of neurodegenerative disorders. For example, Crohn's disease is associated with the upregulation of leucine-rich repeat kinase 2 (LRRK2), a gene that plays an important role in both sporadic and familial PD (Barrett et al., 2008; Fava et al., 2016; Liu et al., 2011). Other research has demonstrated that LPS-induced dysbiosis in mice significantly increases alpha-synuclein expression and decreases tyrosine hydroxylase (TH) expression, two proteins that are involved in the pathogenesis of PD (Hunter et al., 2009; Kelly et al., 2014). Thus, gut dysbiosis influences immune responsivity and can have far-reaching effects on cellular mechanisms associated with neurodegeneration.
Although gut dysbiosis seems to play a role in the development of neurodegenerative disorders, the mechanisms mediating these effects remain unknown. One potential explanation may be the effects of dysbiosis on intestinal permeability (Spielman et al., 2018). Gut dysbiosis has been shown to increase intestinal permeability through the effects of cytokines and chemokines on tight-junction proteins (Kacimi et al., 2011; Leclercq et al., 2014). For example, gut dysbiosis induced by a high-fat diet increases intestinal permeability by reducing the expression of the tight-junction proteins, zonula occludens-1 and occludin in mice (Cani et al., 2008). This increase in intestinal permeability coincides with an increase in plasma LPS along with an increase in serum IL1 and TNFα (Cani et al., 2008). Therefore, dysbiosis can alter intestinal permeability, allowing signalling molecules to cross the intestinal epithelial barrier, enter the circulatory system, and reach the CNS, where they can potentially play a role in the development of neurodegenerative disorders.
The majority of studies examining the effects of LPS and antimicrobial treatment on neurodegenerative disorders focus on the long-term effects of LPS and antimicrobial treatment on adult male subjects. There is a lack of knowledge on the potential mechanistic influence of LPS and antimicrobial treatment on the development of neurodegenerative disorders during critical periods of development, like puberty. Moreover, little is known about the neurodegenerative mechanisms that may affect males and females differently. Therefore, the objective of this study was to examine the acute effects of antimicrobial and LPS treatment on the cellular mechanisms associated with neurodegeneration in male and female mice. We hypothesized that antimicrobial and LPS treatment would not change the expression of TH, increase the expression of biomarkers related to neurodegeneration (i.e., SNCA, C3, LRRK2, pro-inflammatory cytokines), decrease the expression of biomarkers that can potentially slow down neurodegeneration (i.e., occludin, anti-inflammatory cytokines) and increase sickness behaviours, in a sex-dependent manner.
2. Methodology
2.1. Animals
Ninety-six male and female CD-1 mice were shipped from Charles River Laboratories (Saint-Constant, Québec, Canada) at three weeks of age (see Fig. 1). Mice were pair-housed in sex-specific rooms and were kept on a reversed light cycle (lights off at 1000 h) under standard conditions (14 h:10 h light/dark cycle; 24 ± 2 °C; relative humidity of 40 ± 5). Mice were housed in polycarbonate Lexan housing cages (17 cm wide × 28 long × 12 cm high) that were bedded with Teklad Corn Cob bedding (Harlan Laboratories, Inc., Madison, WI, USA) and enriched with one square piece of Nestlet (Ancare Corp., Bellmore, NY, USA) and a cardboard refuge hut (Ketchum Manufacturing, Inc., Brockville, ON, Canada). Food (Harlan Laboratories, Inc., Madison, WI, US, T2018 – Global 18% rodent) and water were available ad libitum. All observational tests were completed during the dark phase under dim red light unless specified. Under our housing conditions, CD-1 female mice demonstrate vaginal opening at approximately 30 days following birth and begin estrous cycling around 60 days of age (Murray, Butcher, Kearns, Lamba, Liang, Stintzi, and Ismail, under review). Measurements of preputial separation in male mice are difficult to analyze, however, measurements of scrotum width in six-week-old male mice indicate that the scrotum has not reached adult size (Murray, Butcher, Kearns, Lamba, Liang, Stintzi, and Ismail, under review). Therefore, our six-week-old male and female mice are pubescents. All experiments were approved by the Animal Care Committee of the University of Ottawa.
Fig. 1.
Experimental timeline of mice examined for the acute effects of pubertal LPS and antimicrobial treatment on cellular mechanism associated with neurodegeneration.
2.2. Antimicrobial treatment
At five weeks of age, mice were administered 200 μL of mixed broad-spectrum antimicrobial solution or water through gavage twice daily for 7 day as described in (Esposito et al., 2022). Briefly, the antimicrobial solution was made fresh daily and contained 15 mg/mL of ampicillin (No. BP1760-5, Fisher Scientific, Geel, Belgium), neomycin (No. 480125 GM, EMD Millipore Corp, MA, USA), streptomycin (NO. BP910-50, Alfa Aesar, Fisher Scientific, Ottawa, ON), and 10 mg/mL of metronidazole (No. AC210340050, Acros Organics, New Jersey, USA) in distilled water. The treatments were administered at 0600 h and 1800 h, respectively. This dosage and treatment regimen have been shown to sufficiently suppress total microbial content (Zarrinpar et al., 2018).
2.3. Lipopolysaccharide administration
Six-week-old mice received an intraperitoneal (ip) injection of either 1.5 mg/kg of LPS (Escherichia coli seroptype O26:B6; L#3755; Sigma Chemical Co., St. Louis, MO, USA) or an equivalent volume of 0.9% sterile saline at the end of the light cycle. This dose of LPS was chosen because it has been previously shown to induce sexually dimorphic sickness behaviours for approximately 24–48 h (Cai et al., 2016).
2.4. Sickness monitoring
Sickness monitoring was conducted at 2, 4, 6, and 8 h after injection. Assessment of the progression of sickness behaviours followed a non-invasive and unbiased approach with two raters blind to the experimental conditions (as described in Kolmogorova et al., 2017). The raters visually assessed the mice for symptoms including lethargy (reduced locomotion), huddling (curled body posture), ptosis (drooping eyelids), and pilo-erection (erection of fur). At each time-point, the raters scored the total number of symptoms displayed by each mouse (one symptom = 1, two symptoms = 2, three symptoms = 3, four symptoms = 4). Sickness scores at each time-point from the two raters were averaged and used in statistical analyses.
2.5. Plasma extraction
Eight hours following the saline or LPS treatment, mice were anesthetized with Euthanyl (Sodium pentobarbital; 500 mg/kg, ip). Mice were assessed for motor reflexes by gently pinching their feet. Once no motor reflexes were detected, blood was collected by cardiac puncture and placed into Microvette CB 300 K2E blood extraction tubes (Sarstedt AG & Co, Nümbrecht, Germany) that were coated with an anti-coagulant, EDTA. Tubes were kept at 4 °C until plasma extraction. Within 3 h of blood collection, samples were centrifuged at 1000×g at 20 °C for 15 min to separate plasma. Plasma was extracted and stored in aliquots at −80 °C.
2.6. Brain tissue extraction
Following blood collection, mice were decapitated and brains were extracted and flash-frozen in liquid nitrogen and stored at −80 °C until processing. The brain tissue was sliced with a LEICA CM1950 cryostat at 300 μM, and tissue from the caudate-putamen (CP) and substantia nigra (SN) were dissected and placed into RNA-free tubes. Tubes were stored at −80 °C until RNA extraction.
2.7. Ileum tissue extraction
The ileum was extracted and stored at −80 °C until processing. The ileum tissue was dissected open longitudinally on ice and washed with Phosphate-Buffered saline (PBS; 3.45 gm Na2HPO4, 0.78 gm NaH2PO4•H2O, 24 gm NaCl, 0.6 gm KCl, 3L dH2O). Following the washing step, the luminal surface of the ileum was scraped off and was stored at −80 °C until protein extraction.
2.8. mRNA extraction and cDNA synthesis
PureLink RNA Mini Kit (No. 12183020; Thermo-Fisher Scientific) was used according to the manufacturer's instructions to extract mRNA from CP and SN tissue. Extracted mRNA was then incubated with gDNA wipeout buffer to remove genomic DNA prior to cDNA synthesis. cDNA was synthesized with the QuantiTect Reverse Transcription kit (No. 205311; QIAGEN). The products of the cDNA synthesis step were used in subsequent real-time quantitative PCR.
2.9. Real-time quantitative polymerase chain reaction (RT-qPCR)
Relative gene expression was assessed using the SsoAdvanced Universal SYBR Green Supermix (No. 1725274; Bio-Rad) in triplicates of 10 μL reactions on the Bio-Rad CFX96 Touch Real-Time PCR Detection System (Bio-Rad). Primer efficiency was determined using the slope between RNA quantity and cycle thresholds with CFX Maestro software (Bio-Rad). All primer pairs achieved reaction efficiency between 90 and 110%. β-actin was used as a housekeeping gene for all samples and did not change significantly across experimental conditions. For each reaction, the quantitative threshold amplification cycle number (CQ) was determined, and log transformed as previously described (Taylor et al., 2019). The primers were ordered from Integrated DNA technologies and the primer sequences are displayed in Table 1.
Table 1.
Summary of primer sequences.
| Target Gene | Forward | Reverse |
|---|---|---|
| β-actin | GAACCCTAAGGCCAACCGTG | GGTACGACCAGAGGCATACAGG |
| LRRK2 | GCCACGAATCTCAATAGCAAG | CCAAAGCCAAGCACAGTATTC |
| SNCA | CTTTAGCCATGGATGTGTTCA | TTGTCTTTCCAGCTGCCTCT |
2.10. Multiplex immunoassay
Plasma concentrations of granulocyte-macrophage colony-stimulating factor (GM-CSF), interleukin 2 (IL2), interleukin 23 (IL23), interleukin 10 (IL10), interleukin 12 (p70) (IL12), and interleukin 17A (IL17A) were measured with a multiplex bead-based Luminex immunoassay. Multiplex kits (No. MTH17MAG-47K; Millipore-Sigma) were used according to the supplier's instructions, and plasma samples were measured in duplicates. Each plate contained one pooled sample to monitor the inter-assay variation. The MAGPIX system was used to measure the final cytokine concentrations.
2.11. Enzyme-linked immunosorbent assay (ELISA)
Plasma concentrations of fatty acid binding protein 2 (FABP2) were measured with an ELISA. The ELISA kit (No. SEA559Mul; Cloud-Clone Corp.) was used according to the manufacturer's instructions and plasma samples were measured in duplicates. Each plate contained one pooled sample to monitor inter-assay variation. All plates were read with Biotek Powerwave XS2 and analyzed with the Gen 5 V2.0 software. Three samples had intra-assay CVs greater than 15% and were excluded from the analyses.
2.12. Quantitative western blot analyses
The dissected CP, SN and ileum tissues were first homogenized in tissue protein extraction reagent buffer (T-PER; Thermo Scientific, ref: 78510) containing the protease inhibitors Roche PhosSTOP™ (Millipore Sigma; cat: 04001) and Roche cOmplete™ ULTRA Tablets EDTA-free (Millipore Sigma; cat: 05001). The brain homogenates were incubated on ice for 10 min, then centrifuged at 4 °C at 19,000 g for 20 min. The ileum homogenates were incubated on ice for 10 min, then centrifuged 3 times at 4 °C at 21,000 g for 10 min. The supernatants were then collected to assay total protein concentrations using the Pierce™ Bicinchoninic Acid Assay (BCA) protein assay kit (Thermo Fisher Scientific). A total of 15 μg (brain samples) and 17 μg (ileum samples) of protein were mixed with a loading buffer containing 2-Mercaptoethnol and then heated to 95 °C for 5 min. Samples were electrophoresed on a 12% polyacrylamide gel (TGX Stain-Free™ FastCast™ Acrylamide Kit; Bio-Rad; cat: 1610185) using Mini-PROTEAN® 3 Dodeca™ Cell system (Bio-Rad). A pooled protein sample was loaded to each of the gels to account for inter-gel variation. The gel image was then collected with ChemiDoc™ XRS + System (Bio-Rad). These images were used for protein loading normalization instead of running a housekeeping protein as referenced (Eaton et al., 2013; Fosang and Colbran, 2015). The separated proteins were transferred onto 0.2 μm nitrocellulose membranes with Trans-Blot® Electrophoretic Transfer Cell system (Bio-Rad). The nitrocellulose membrane for brain samples was blocked for 1 h at room temperature in a blocking solution containing 5% skim milk in PBS. The nitrocellulose membrane for ileum samples were treated with 4% paraformaldehyde (PFA) at room temperature for 30 min and were then blocked for 1 h in a blocking solution containing 5% skim milk in PBS. The nitrocellulose membranes were then incubated overnight at 4 °C in a solution of 5% milk/Tris-buffered saline in 0.1% Tween® 20 detergent (TBST; 20 mM Tris base, 137 mM NaCl, 0.1% Tween 20) containing rabbit anti-C3 (1/2000; Abcam; cat: AB200999) and rabbit anti-TH (1/20000; Abcam; cat: AB137869) (brain samples), or rabbit anti-occludin (1/400; Abcam; cat: AB167161) (ileum samples). The membranes underwent 3 × 10-min washes with TBST and were then incubated for 1 h at room temperature with relevant goat anti-rabbit IRDye® 800CW secondary antibodies (LiCor Biosciences; cat: 92632211) in a 5% skim milk/TBST solution. Following another set of 3 × 10-min washes with TBST, protein intensity was quantified using Li-Cor Biosciences Odyssey® software. The intensity was then normalized using the loaded protein measurement from the gel image. Finally, to control for inter-gel variation, the ratio of the normalized protein intensity between each sample to their intra-gel pooled sample was calculated and presented as a fold change (mean of duplicate ± SEM), which was used for relative protein abundance comparison between groups.
2.13. Statistical analyses
All statistical analyses were performed using IBM SPSS v20 software. Cases that exceeded the 1.5 interquartile range in boxplot analyses (western blot, RT-qPCR, multiplex, ELISA, and sickness behaviour data) were considered statistical outliers and were limited, by winsorization to the next outer-most score within the 1.5 interquartile range (Hastings et al., 1947). For measures of sickness behaviours, a four-way mixed analysis of variance (ANOVA) was used to measure the within-subject effects of time (2, 4, 6, and 8 h) and the between-subject effects of sex (male or female), antimicrobial treatment (AMNS or water), and LPS treatment (LPS or saline). Greenhouse-Geisser corrections were applied to F-values that violated Mauchly's test of sphericity. For all other measures (i.e., western blot, RT-qPCR, multiplex, ELISA), a 2 × 2 x 2 ANOVA was performed for sex (male or female), antimicrobial treatment (AMNS or water), and LPS treatment (LPS or saline). When appropriate statistically significant effects were followed by pairwise comparisons with Bonferroni corrections. Measures of effect sizes were estimated using partial eta-squared (ηp2). Statistical significance was set to p < 0.05.
3. Results
3.1. Sickness behaviours
The four-way mixed ANOVA violated Mauchly's Test of Sphericity (p < 0.05), and all within-subject effects were assessed with Greenhouse-Geisser corrections. The ANOVA found a significant within-subjects main effect of time (F (2.6,48.5) = 52.51, p < 0.01, ηp2 = 0.34) and a time x LPS interaction (F (2.6,48.5) = 52.51, p < 0.01, ηp2 = 0.34). The three-way mixed ANOVA also found a significant between subjects' main effect of LPS (F (1, 104) = 674.80, p < 0.01, ηp2 = 0.87) and a significant sex x LPS interaction (F (1, 104) = 4.64, p = 0.40, ηp2 = 0.04). Pairwise comparisons showed that regardless of sex and AMNS treatment, mice treated with LPS displayed significantly greater sickness behaviours in comparison to their SAL-treated counterparts (MD = 2.42, SE = 0.09, p < 0.01; Fig. 2A and B). Mice treated with LPS displayed significantly less sickness behaviours 2 h following treatment in comparison to 4 (MD = 0.62, SE = 0.07, p < 0.01), 6 (MD = 1.04, SE = 0.09, p < 0.01) and 8 h (MD = 1.22, SE = 0.09, p < 0.01; Fig. 2A and B) following treatment. Moreover, LPS-treated males displayed significantly more sickness behaviours then LPS-treated females at 2 (MD = 0.61, SE = 0.14, p < 0.01), 6 (MD = 0.50, SE = 0.16, p = 0.02), and 8 (MD = 0.41, SE = 0.09, p = 0.12) hours following treatment.
Fig. 2.
Mean (±SEM) sickness scores of six-week-old (A) male and (B) female mice treated with either saline (SAL) or lipopolysaccharide (LPS), and with either water (CTL-SAL, CTL-LPS) or antimicrobials (AMNS-SAL, AMNS-LPS), n = 10/group. The asterisks (*) denotes a significant difference between LPS and saline counterparts (p < 0.05). (a) denotes a significant difference between male and female counterparts (p < 0.05).
3.2. Peripheral plasma GM-CSF concentrations
The ANOVA found a significant main effect of sex (F (1, 72) = 4.49, p = 0.04, ηp2 = 0.06). Pairwise comparisons showed that regardless of LPS and AMNS treatments, males displayed significantly greater GM-CSF concentrations in comparison to their female counterparts (MD = 6.23, SE = 3.13, p = 0.04). Furthermore, LPS-treated females had significantly greater GM-CSF concentrations in comparison to their SAL-treated counterparts (MD = 9.79, SE = 4.23, p = 0.03). LPS-treated males did not show any significant difference in GM-CSF concentration in comparison to their SAL-treated counterparts (MD = 0.63, SE = 4.23, p = 0.89; Fig. 3A).
Fig. 3.
Mean (±SEM) acute plasma (A) GM-CSF concentrations, (B) IL2 concentrations, (C) IL10 concentrations, (D) IL12 (p70) concentrations, (E) IL17A concentrations, and (F) IL23 concentrations of six-week-old mice treated with either saline (SAL) or lipopolysaccharide (LPS), and either water (CTL-SAL, CTL-LPS) or antimicrobials (AMNS-SAL, AMNS-LPS), n = 20/group. Data represented as mean fold change (±SEM), n = 10/group. The asterisks (*) denotes a significant difference between LPS and saline counterparts (p < 0.05), (a) denotes a significant difference between male and female counterparts (p < 0.05) and (b) denotes a significant difference between water and antimicrobial treatments (p < 0.05).
3.3. Peripheral plasma IL2 concentrations
The ANOVA found significant sex x AMNS treatment (F (1, 72) = 5.89, p = 0.02, ηp2 = 0.08), sex x LPS (F (1, 72) = 10.41, p < 0.01, ηp2 = 0.13), and AMNS treatment x LPS (F (1, 72) = 5.89, p = 0.02, ηp2 = 0.08) interactions. Pairwise comparisons showed that regardless of sex, CTL-LPS treated mice displayed significantly less IL2 concentrations in comparison to CTL-SAL treated mice (MD = 0.57, SE = 0.26, p = 0.03). CTL-treated males and SAL-treated males displayed significantly greater IL2 concentrations in comparison to their female counterparts (MD = 0.57, SE = 0.26, p = 0.03; MD = 0.71, SE = 0.26, p < 0.01, respectively). Moreover, LPS-treated males displayed significantly less IL2 concentrations in comparison to their SAL-treated counterparts (MD = 0.71, SE = 0.26, p = 0.01). LPS-treated females did not show any significant differences in IL2 concentrations in comparison to their SAL-treated counterparts (MD = 0.45, SE = 0.26, p = 0.08; Fig. 3B).
3.4. Peripheral plasma IL10 concentrations
The ANOVA found a significant main effect of LPS (F (1, 72) = 129.79, p < 0.01, ηp2 = 0.64) and significant sex x AMNS treatment (F (1, 72) = 4.08, p = 0.05, ηp2 = 0.05), and sex x AMNS treatment x LPS (F (1, 72) = 4.08, p = 0.05, ηp2 = 0.05) interactions. Pairwise comparisons showed that regardless of sex and AMNS treatment, LPS-treated mice displayed significantly greater IL10 concentrations in comparison to their SAL-treated counterparts (MD = 319.84, SE = 28.07, p < 0.01). Furthermore, AMNS-LPS treated males displayed significantly less IL10 concentrations in comparison to their CTL-LPS treated counterparts (MD = 136.84, SE = 56.15, p = 0.02). AMNS-LPS- treated females did not display any significant differences in comparison to their CTL-LPS treated counterparts (MD = 89.94, SE = 56.15, p = 0.11). Lastly, AMNS-LPS treated males displayed significantly less IL10 concentrations in comparison to their AMNS-LPS treated female counterparts (MD = 141.97, SE = 56.15, p = 0.01; Fig. 3C).
3.5. Peripheral plasma IL12 (p70) concentrations
The ANOVA found significant main effects of LPS (F (1, 72) = 35.75, p < 0.01, ηp2 = 0.33) and sex (F (1, 72) = 8.05, p < 0.01, ηp2 = 0.07). Pairwise comparisons showed that regardless of sex and AMNS treatment, LPS-treated mice displayed significantly greater IL12 (p70) concentrations in comparison to their SAL-treated counterparts (MD = 38.58, SE = 6.45, p < 0.01). Furthermore, LPS-treated males displayed significantly greater IL12 (p70) concentrations in comparison to their LPS-treated female counterparts (MD = 23.44, SE = 9.13, p = 0.01; Fig. 3D).
3.6. Peripheral plasma IL17A concentrations
The ANOVA found a significant main effect of LPS (F (1, 72) = 67.89, p < 0.01, ηp2 = 0.49). Pairwise comparisons showed that regardless of sex and AMNS treatment, LPS-treated mice displayed significantly greater IL17A concentrations in comparison to their SAL-treated counterparts (MD = 350.29, SE = 42.51, p < 0.01; Fig. 3E).
3.7. Peripheral plasma IL23 concentrations
The ANOVA found a significant main effect of LPS (F (1, 72) = 8.54, p < 0.01, ηp2 = 0.11). and of sex (F (1, 72) = 6.03, p = 0.02, ηp2 = 0.08). Pairwise comparisons showed that regardless of sex and AMNS treatment, LPS-treated mice displayed significantly greater IL23 concentrations in comparison to their SAL-treated counterparts (MD = 382.10, SE = 130.74, p < 0.01). Furthermore, LPS-treated males displayed significantly greater IL23 concentrations in comparison to LPS-treated females (MD = 434.27, SE = 184.90, p = 0.02; Fig. 3F).
3.8. Assessment of FABP2 concentrations with ELISA
The ANOVA found a significant main effect of LPS (F (1, 69) = 7.73, p = 0.01, ηp2 = 0.10) and significant sex x AMNS treatment (F (1, 69) = 4.79, p = 0.03, ηp2 = 0.07) and sex x AMNS treatment x LPS (F (1, 69) = 13.14, p < 0.01, ηp2 = 0.16) interactions. Pairwise comparisons showed that regardless of sex and AMNS treatment, LPS-treated mice displayed significantly less FABP2 concentrations in comparison to their SAL-treated counterparts (MD = 1.42, SE = 0.51, p = 0.01). AMNS-SAL treated males displayed significantly greater FABP2 concentrations in comparison to their AMNS-SAL treated female counterparts (MD = 2.59, SE = 1.10, p = 0.02). AMNS-LPS treated males displayed significantly less FABP2 concentrations in comparison to their AMNS-SAL treated counterparts (MD = 2.94, SE = 1.03, p = 0.01). Furthermore, CTL-LPS treated females displayed significantly less FABP2 concentrations in comparison to their CTL-SAL treated counterparts (MD = 3.62, SE = 1.03, p < 0.01; Fig. 4).
Fig. 4.
Mean (±SEM) acute plasma FABP2 concentrations of six-week-old mice treated with either saline (SAL) or lipopolysaccharide (LPS), and either water (CTL-SAL, CTL-LPS) or antimicrobials (AMNS-SAL, AMNS-LPS), n = 10/group. The asterisks (*) denote a significant difference between LPS and saline counterparts (p < 0.05), (a) denotes a significant difference between male and female counterparts (p < 0.05) and (b) denotes a significant difference between water and antimicrobial treatments (p < 0.05).
3.9. C3 and TH protein expressions in the CP and SN
The ANOVA did not show any significant difference in C3 or TH expression in the CP (Fig. 5A and B). Furthermore, no significant difference in TH expression was found in the SN (Fig. 5D). However, a significant main effect of LPS (F (1, 48) = 5.11, p = 0.03, ηp2 = 0.10) and a significant sex x LPS (F (1, 58) = 6.84, p = 0.01, ηp2 = 0.13) interaction was found for C3 in the SN. Pairwise comparisons for C3 expression in the SN showed that regardless of sex and AMNS treatment, LPS-treated mice displayed significantly less C3 expression in comparison to their SAL-treated counterparts (MD = 1.31, SE = 0.58, p = 0.03). SAL-treated males displayed significantly greater C3 expression in comparison to their SAL-treated female counterparts (MD = 2.02, SE = 0.82, p = 0.02). Furthermore, LPS-treated males displayed significantly less C3 expression in comparison to their SAL-treated counterparts (MD = 2.82, SE = 0.82, p = 0.01). LPS-treated females did not show any significant in C3 expression in comparison to their SAL-treated counterparts (MD = 0.21, SE = 0.82, p = 0.80; Fig. 5C).
Fig. 5.
Mean (±SEM) acute protein (A) C3 expression in the CP, (B) C3 expression in the SN, (C) TH expression in the CP, (D) TH expression in the SN, and (E) occludin expression in the ileum of six-week-old mice treated with either saline (SAL) or lipopolysaccharide (LPS), and either water (CTL-SAL, CTL-LPS) or antimicrobials (AMNS-SAL, AMNS-LPS), n = 7/group. The asterisks (*) denotes a significant difference between LPS and saline counterparts (p < 0.05), (a) denotes a significant difference between male and female counterparts (p < 0.05) and (b) denotes a significant difference between water and antimicrobial treatments (p < 0.05).
3.10. Occludin protein expression in the ileum
The ANOVA found significant main effects of LPS (F (1, 48) = 13.60, p < 0.01, ηp2 = 0.22) and AMNS treatment (F (1, 48) = 7.20, p = 0.01, ηp2 = 0.13). The ANOVA also found a significant sex x LPS (F (1, 48) = 1.70, p = 0.05, ηp2 = 0.08) interaction. Pairwise comparisons showed that regardless of sex and AMNS treatment, LPS-treated mice displayed significantly greater occludin expression in comparison to their SAL-treated counterparts (MD = 0.64, SE = 0.17, p < 0.01). AMNS-treated mice displayed significantly greater occludin expression in comparison to their CTL-treated counterparts (MD = 0.50, SE = 0.17, p = 0.01). Furthermore, LPS-treated females displayed significantly greater occludin expression in comparison to their LPS-treated male counterparts (MD = 0.69, SE = 0.25, p = 0.01; Fig. 5E).
3.11. SNCA and LRRK2 mRNA expressions in the CP and SN
The ANOVA found a significant main effect of LPS for SNCA and LRRK2 in the CP (F (1, 48) = 7.33, p = 0.001, ηp2 = 0.13; F (1, 48) = 9.23, p < 0.001, ηp2 = 0.16; respectively). No significant difference was shown for SNCA or LRRK2 mRNA expression in the SN. Pairwise comparisons showed that regardless of sex and AMNS treatment, LPS-treated mice displayed significantly greater SNCA and LRRK2 mRNA expressions in the CP in comparison to their SAL-treated counterparts (MD = 0.68, SE = 0.25, p = 0.001; MD = 0.85, SE = 0.28, p < 0.001; respectively; see Fig. 6).
Fig. 6.
Geomean (±SEM) of acute mRNA (A) SNCA expression in the CP, (B) SNCA expression in the SN, (C) LRRK2 expression in the CP, and (D) LRRK2 expression in the SN of six-week-old mice treated with either saline (SAL) or lipopolysaccharide (LPS), and either water (CTL-SAL, CTL-LPS) or antimicrobials (AMNS-SAL, AMNS-LPS), n = 7/group. The asterisks (*) denote a significant difference between LPS and saline counterparts (p < 0.05), and (b) denotes a significant difference between water and antimicrobial treatments (p < 0.05).
4. Discussion
Neurodegenerative disorders are one of the leading causes of mortality and morbidity worldwide. Although the etiology of neurodegenerative disorders is unknown, alterations to the gut microbiome during puberty may increase susceptibility to neurodegeneration later in life. Several studies have linked LPS and antimicrobial treatment with neurodegeneration in adult male subjects (Batista et al., 2019; Brandscheid et al., 2017; Fröhlich et al., 2016; Wang et al., 2019; Zhao et al., 2019). However, the effects of LPS and antimicrobial treatment on neurodegeneration in pubertal males and females are unknown. Thus, this study was designed to investigate the acute effects of pubertal LPS and antimicrobial treatment on the cellular mechanisms associated with neurodegeneration in male and female mice. Our results showed that LPS and antimicrobial treatments were associated with increased sickness behaviours and sex-specific alterations in peripheral inflammation (i.e., IL12(p70), IL17A, IL23, IL10), intestinal permeability (i.e., occludin and FABP2), and markers related to neurodegeneration (i.e., C3, LRRK2, SNCA).
AMNS-LPS treated male and female mice displayed increased sickness behaviours. Moreover, AMNS-LPS treated male mice displayed greater plasma pro-inflammatory cytokines (e.g., IL12 (p70), IL17A, IL23) and less plasma anti-inflammatory cytokines (e.g., IL10) in comparison to their female counterparts. These findings support our hypotheses and are consistent with previous research linking LPS with alterations in immune responsivity and sickness behaviours (Cai et al., 2016; Kolmogorova et al., 2017; Sharma et al., 2018). IL17A and IL23 are pro-inflammatory cytokines that have been shown to play a role in the development of neurodegeneration (Brigas et al., 2021; Chen et al., 2020; Nitsch et al., 2021; Zheng et al., 2016). IL17A is commonly believed to be produced by CD4+ lymphocytes (i.e., Th17 cells) (Ruiz de Morales et al., 2020). Th17 cells also express IL23-receptors and require IL23 for cell proliferation and survival (Gaffen et al., 2014). However, IL17A can also be produced in the absence of IL23 by CD8+ lymphocytes as well as some natural killer cells which are rapidly activated after an infection or injury (Srenathan et al., 2016). It is theorized that in the absence of IL23, IL17A has a non-pathogenic phenotype that promotes tissue repair and regulates barrier functions (Wu et al., 2018). However, in the presence of IL23, IL17A exhibits a pathogenic phenotype that can produce a detrimental immune response (McAleer and Kolls, 2011). Therefore, while females possess a non-pathogenic phenotype, increases in IL17A and IL23 concentrations following AMNS-LPS treatment in males suggest that they possess a pathogenic phenotype that may increase their susceptibility to neurodegeneration later in life.
The sex-specific effects of AMNS-LPS treatment on plasma cytokine concentrations may be due to the sex differences in circulating gonadal hormones levels. Estradiol is believed to enhance the immune response while testosterone has a negative impact on it (Taneja, 2018). For example, estradiol replacement in ovariectomized rats treated with formalin significantly decreases pro-inflammatory cytokine (i.e., TNFα and IL1β) expression and increases anti-inflammatory cytokine (i.e., IL10) expression (Shivers et al., 2015). Conversely, dihydrotestosterone treatment promotes a harmful inflammatory response in rats by increasing nuclear factor kapa B activation and increasing the production of pro-inflammatory markers such as cyclooxygenase-2 and inducible nitrous oxide synthase (Gonzales et al., 2009). Taken together, these results suggest that females may have a more adaptive immune response to AMNS-LPS treatment compared to males due to differences in circulating gonadal hormones.
LPS treatment was also associated with sex-specific changes in intestinal permeability. Females treated with LPS displayed significantly greater occludin expression in the ileum in comparison to their LPS-treated male counterparts. This finding does not support our hypothesis and is not consistent with previous research examining the effects of LPS and antimicrobial treatment on intestinal permeability. Occludin is a tight-junction protein that plays a critical role in regulating intestinal permeability (Cummins, 2012). C57BL/6 mice treated with ampicillin via gavage for 14 days display significant decreases in occludin levels in the colon, suggesting an increase in intestinal permeability (Shi et al., 2018). This discrepancy with our findings may be due to differences in the length of antimicrobial treatment, the species that were utilized, the age of the mice, and the tissue that was analzed (i.e., ileum vs. colon).
The increase in occludin levels in female mice observed in our study could be a protective response to LPS treatment that is mediated by IL17A and IL23 concentrations. Research in mice has shown that the early production of IL17A, in the absence of IL23, protects the intestinal barrier following dextran sodium sulfate injury (Lee et al., 2015). Therefore, the significant increases in occludin expression and IL17A concentration, in the absence of IL23, in females, suggest that they have a greater ability to protect the intestinal barrier in response to LPS treatment. In contrast, the significant increases in IL17A and IL23 concentrations in males suggest that they may be more susceptible to intestinal barrier dysfunctions in response to LPS treatment. The sex difference in occludin concentration could also be due to differences in circulating gonadal hormones. Research in rats has shown that ovariectomy increases intestinal permeability while treatment with 17β-oestradiol upregulates the expression of occludin and junctional adhesion molecule A in the colon, indicating a decrease in intestinal permeability (Braniste et al., 2009).
LPS-treated male and female mice showed decreases in plasma FABP2 concentrations. These results are not in line with our hypothesis but are partially consistent with previous research examining plasma FABP2 concentrations. FABP2 is an intracellular protein that is abundantly expressed in the epithelial cells located in the small and large intestine (Pelsers et al., 2003). Under normal conditions, plasma FABP2 concentrations are thought to reflect the physiological turnover rate of enterocytes (Bischoff et al., 2014; Uhde et al., 2016). However, elevated levels of plasma FABP2 could indicate excessive damage to enterocytes and an increase in intestinal permeability (Bischoff et al., 2014). Previous research has shown that gut dysbiosis, induced by chronic unpredictable stress in rats, significantly increases the expression of plasma FABP2 (Lv et al., 2019). However, other research with rats has shown that dysbiosis induced by a high-fat diet results in a decrease in plasma FABP2 concentrations (Lau et al., 2016). It remains unclear as to why plasma FABP2 concentrations would decrease following LPS treatment in our current study. It is possible that the decrease in plasma FABP2 concentrations is an adaptive response to LPS treatment, where the turnover rate of enterocytes is decreased to maintain intestinal barrier integrity. It is also possible that the stressors used in this study (LPS and antimicrobials) have unique acute effects on plasma FABP2 concentrations which have yet to be elucidated. However, further research is required to determine the acute and enduring effects of LPS and antimicrobial treatment on enterocytes and plasma FABP2 concentrations.
Our results also showed that LPS-treated males displayed significantly less C3 expression in the SN in comparison to their SAL-treated counterparts, while no significant differences were observed in females. C3 is a protein that plays a central role in the complement system and has various functions including eliminating foreign pathogens, synaptic pruning, tissue regeneration, and clearing debris from cells and tissues (Ricklin et al., 2016). Dysregulation of C3 expression can contribute to the development of neurodegenerative (i.e., amyotrophic lateral sclerosis, AD, PD) and neurodevelopmental disorders (i.e., autism spectrum disorder, schizophrenia) (Loeffler et al., 2006; Mayilyan et al., 2008; Warren et al., 1994; Woodruff et al., 2014; T. Wu et al., 2019). For example, elevated levels of C3 have been reported in the brains of patients suffering from Huntington's disease, AD, and PD (Fatoba et al., 2021). However, C3-deficient mice show an increase in amyloid beta deposition and neuronal loss, suggesting a protective role of C3 in the brain (Maier et al., 2008). Moreover, C3 knockdown mice show decreases in synaptic pruning and increases in social interaction impairments and repetitive behaviours, deficits that are associated with autism spectrum disorder (Fagan et al., 2017; Magdalon et al., 2020). Therefore, decreased C3 expression in male mice following pubertal LPS treatment may indicate deficits in synaptic pruning or a decreased ability to remove invading pathogens, potentially increasing susceptibly to neurodegenerative and/or neurodevelopmental disorders.
LPS-treated mice also showed significant increases in SNCA and LRRK2 expression in the CP. These results are consistent with our hypothesis and with previous research examining the effects of LPS on SNCA and LRRK2 expression. An accumulation of SNCA and LRRK2 in the brain has been associated with the pathology of several neurodegenerative disorders such as PD, AD, dementia with Lewy bodies, and multiple system atrophy (Meade et al., 2019; Santpere and Ferrer, 2009; Siddiqui et al., 2016). Although the mechanisms mediating the effects of SNCA and LRRK2 on neurodegeneration are unclear, it is believed that SNCA and LRRK2 play a role in the regulation of neuroinflammation. For example, LPS-treatment in transgenic mice overexpressing alpha-synuclein results in enduring neuroinflammation (i.e., Iba-1, Mac1, inducible NO synthase, cyclooxygenase-2, and gp91phox) in both the SN and striatum, 5-months following LPS-treatment (Gao et al., 2011). Moreover, this persistent neuroinflammation was also associated with progressive degeneration of the nigrostriatal dopamine pathway and Lewy-body inclusions in nigral neurons (Gao et al., 2011). Other research has shown that the inhibition of LRRK2 in LPS-treated microglial cells results in a decrease in interleukin-1β and cyclooxygenase-2 expression along with the downregulation in nuclear factor kapa B signaling (Russo et al., 2015). Therefore, the acute increase of SNCA and LRRK2 expression following pubertal LPS treatment in our study could indicate the beginning of an enduring neuroinflammatory response that is mediated by SNCA and LRRK2.
No significant difference in TH expression was observed in the SN and CP of pubertal male and female mice following AMNS-LPS treatment. These findings support our hypothesis and are consistent with previous research examining the effects of LPS treatment on TH expression in pubertal mice. TH is an enzyme that catalyzes the hydroxylation of tyrosine to L-DOPA, a precursor of dopamine, epinephrine, and norepinephrine (Daubner et al., 2011). Research from our laboratory has shown that LPS treatment increases TH expression in adult mice, but not in pubertal mice (Girard-Joyal and Ismail, 2017). This age difference may be due to a compensatory response to LPS in adult mice, which pubertal mice may lack due to lower levels of circulating gonadal hormones (Girard-Joyal and Ismail, 2017). Alternatively, given that TH is also a precursor of norepinephrine, it is possible that TH remains unaltered following pubertal AMNS-LPS treatment due to the known hypo-responsiveness of pubertal mice to stressors (Cai et al., 2016; Girard-Joyal et al., 2015; Sharma et al., 2018).
4.1. Limitations and future directions
Given that exposure to an immune challenge and antimicrobials can cause gut dysbiosis and can impact the functioning of various systems like metabolic function, endocrine function, immune function, sexual development, brain function, and more (Clarke et al., 2014; Dinan and Cryan, 2017; Kennedy et al., 2018), it is difficult to determine the precise mechanisms underlying the effects observed in the current study. Secondly, all mice were euthanized 8 h post-injection at six-weeks of age. Therefore, no inferences about brain functioning can be made beyond this timepoint. Thirdly, the estrous cycle was not examined in this study, therefore, we cannot be certain of whether differences in the stage of estrous cycle between our mice influenced the results. Lastly, microbial composition was not analyzed in this study, therefore, we cannot be certain that our treatment model (i.e., LPS and antimicrobials) is inducing alterations to the gut microbiome. Future research should examine the effects of LPS and antimicrobial treatment across multiple systems including metabolic function (i.e., glucose metabolism), sexual development (i.e., estrous cycle) and endocrine function (i.e., hypothalamic–pituitary–adrenal axis). Examining these systems would provide a more holistic picture of the influence of LPS and antimicrobial treatment across various systems. Future research should also examine the long-term effects of pubertal LPS and antimicrobial treatment on brain functioning and behaviours related to neurodegeneration. It would also be interesting to examine the effects of LPS and antimicrobial treatment on microbial composition to confirm whether our treatment model induces dysbiosis.
5. Conclusion
In conclusion, this study shows that pubertal LPS and antimicrobial treatment induces sex-dependent changes in acute cellular mechanisms associated with neurodegeneration. Overall, these findings suggest that pubertal female mice may have a more adaptive response to LPS and antimicrobial treatment in comparison to pubertal male mice, indicating that males may be more susceptible to the effects of LPS and antimicrobial treatment on neurodegenerative mechanisms. The current study is one of the first to examine the acute effects of pubertal LPS and antimicrobial treatment on cellular mechanisms associated with neurodegeneration in male and female mice. The results further our understanding of how the gut microbiome can influence the pathogenesis of neurodegenerative disorders during a critical period of development. This may allow for the development of therapeutic strategies that target the gut microbiome (i.e., probiotics) during the early stages of life, which can potentially prevent or prolong the development of neurodegenerative disorders.
Funding: This work was supported by the National Sciences and Engineering Research Council of Canada (2020–04302) to NI.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
The authors would like to thank all the members of the NISE Lab and the ACVS staff at the University of Ottawa for their assistance with this project.
Data availability
Data will be made available on request.
References
- Attarian H., Brandes J., Dafer R., Gerard E., Giesser B. Sex differences in the study of neurological illnesses. Behav. Neurol. 2015:1–2. doi: 10.1155/2015/676531. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Barrett J.C., Hansoul S., Nicolae D.L., Cho J.H., Duerr R.H., Rioux J.D., Brant S.R., Silverberg M.S., Taylor K.D., Barmada M.M., Bitton A., Dassopoulos T., Datta L.W., Green T., Griffiths A.M., Kistner E.O., Murtha M.T., Regueiro M.D., Rotter J.I., et al. Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease. Nat. Genet. 2008;40(8):955–962. doi: 10.1038/ng.175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Batista C.R.A., Gomes G.F., Candelario-Jalil E., Fiebich B.L., de Oliveira A.C.P. Lipopolysaccharide-induced neuroinflammation as a bridge to understand neurodegeneration. Int. J. Mol. Sci. 2019;20(9) doi: 10.3390/ijms20092293. Article 9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bischoff S.C., Barbara G., Buurman W., Ockhuizen T., Schulzke J.-D., Serino M., Tilg H., Watson A., Wells J.M. Intestinal permeability – a new target for disease prevention and therapy. BMC Gastroenterol. 2014;14:189. doi: 10.1186/s12876-014-0189-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Borre Y.E., O'Keeffe G.W., Clarke G., Stanton C., Dinan T.G., Cryan J.F. Microbiota and neurodevelopmental windows: implications for brain disorders. Trends Mol. Med. 2014;20(9):509–518. doi: 10.1016/j.molmed.2014.05.002. [DOI] [PubMed] [Google Scholar]
- Brandscheid C., Schuck F., Reinhardt S., Schäfer K.-H., Pietrzik C.U., Grimm M., Hartmann T., Schwiertz A., Endres K. Altered gut microbiome composition and tryptic activity of the 5xFAD Alzheimer's mouse model. J. Alzheim. Dis. 2017;56(2):775–788. doi: 10.3233/JAD-160926. [DOI] [PubMed] [Google Scholar]
- Braniste V., Leveque M., Buisson-Brenac C., Bueno L., Fioramonti J., Houdeau E. Oestradiol decreases colonic permeability through oestrogen receptor β-mediated up-regulation of occludin and junctional adhesion molecule-A in epithelial cells. J. Physiol. 2009;587(13):3317–3328. doi: 10.1113/jphysiol.2009.169300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brigas H.C., Ribeiro M., Coelho J.E., Gomes R., Gomez-Murcia V., Carvalho K., Faivre E., Costa-Pereira S., Darrigues J., de Almeida A.A., Buée L., Dunot J., Marie H., Pousinha P.A., Blum D., Silva-Santos B., Lopes L.V., Ribot J.C. IL-17 triggers the onset of cognitive and synaptic deficits in early stages of Alzheimer's disease. Cell Rep. 2021;36(9) doi: 10.1016/j.celrep.2021.109574. [DOI] [PubMed] [Google Scholar]
- Cai K.C., van Mil S., Murray E., Mallet J.-F., Matar C., Ismail N. Age and sex differences in immune response following LPS treatment in mice. Brain Behav. Immun. 2016;58:327–337. doi: 10.1016/j.bbi.2016.08.002. [DOI] [PubMed] [Google Scholar]
- Cani P.D., Bibiloni R., Knauf C., Waget A., Neyrinck A.M., Delzenne N.M., Burcelin R. Changes in gut microbiota control metabolic endotoxemia-induced inflammation in high-fat diet–induced obesity and diabetes in mice. Diabetes. 2008;57(6):1470–1481. doi: 10.2337/db07-1403. [DOI] [PubMed] [Google Scholar]
- Chen J., Liu X., Zhong Y. Interleukin-17A: the key cytokine in neurodegenerative diseases. Front. Aging Neurosci. 2020;12 doi: 10.3389/fnagi.2020.566922. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Clarke G., Stilling R.M., Kennedy P.J., Stanton C., Cryan J.F., Dinan T.G. Minireview: gut microbiota: the neglected endocrine organ. Mol. Endocrinol. 2014;28(8):1221–1238. doi: 10.1210/me.2014-1108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cummins P.M. Occludin: one protein, many forms. Mol. Cell Biol. 2012;32(2):242–250. doi: 10.1128/MCB.06029-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Daubner S.C., Le T., Wang S. Tyrosine hydroxylase and regulation of dopamine synthesis. Arch. Biochem. Biophys. 2011;508(1):1–12. doi: 10.1016/j.abb.2010.12.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dinan T.G., Cryan J.F. Gut instincts: microbiota as a key regulator of brain development, ageing and neurodegeneration. J. Physiol. 2017;595(2):489–503. doi: 10.1113/JP273106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dinel A.-L., Joffre C., Trifilieff P., Aubert A., Foury A., Le Ruyet P., Layé S. Inflammation early in life is a vulnerability factor for emotional behavior at adolescence and for lipopolysaccharide-induced spatial memory and neurogenesis alteration at adulthood. J. Neuroinflammation. 2014;11:155. doi: 10.1186/s12974-014-0155-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Eaton S.L., Roche S.L., Hurtado M.L., Oldknow K.J., Farquharson C., Gillingwater T.H., Wishart T.M. Total protein analysis as a reliable loading control for quantitative fluorescent western blotting. PLoS One. 2013;8(8) doi: 10.1371/journal.pone.0072457. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Erny D., Hrabě de Angelis A.L., Jaitin D., Wieghofer P., Staszewski O., David E., Keren-Shaul H., Mahlakoiv T., Jakobshagen K., Buch T., Schwierzeck V., Utermöhlen O., Chun E., Garrett W.S., McCoy K.D., Diefenbach A., Staeheli P., Stecher B., Amit I., Prinz M. Host microbiota constantly control maturation and function of microglia in the CNS. Nat. Neurosci. 2015;18(7):965–977. doi: 10.1038/nn.4030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Esposito P., Kearns M.M., Smith K.B., Chandrasegaram R., Kadamani A.K., Gandelman M., Liang J., Nikpoor N., Tompkins T.A., Ismail N. The effects of antimicrobials and lipopolysaccharide on acute immune responsivity in pubertal male and female CD1 mice. Comprehensive Psychoneuroendocrinology. 2022;11 doi: 10.1016/j.cpnec.2022.100147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fagan K., Crider A., Ahmed A.O., Pillai A. Complement C3 expression is decreased in autism spectrum disorder subjects and contributes to behavioral deficits in rodents. Molecular Neuropsychiatry. 2017;3(1):19–27. doi: 10.1159/000465523. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fatoba O., Itokazu T., Yamashita T. Complement cascade functions during brain development and neurodegeneration. FEBS J. 2021 doi: 10.1111/febs.15772. n/a(n/a) [DOI] [PubMed] [Google Scholar]
- Fava V.M., Manry J., Cobat A., Orlova M., Thuc N.V., Ba N.N., Thai V.H., Abel L., Alcaïs A., Schurr E., Team (CLINT), C. L. A missense LRRK2 variant is a risk factor for excessive inflammatory responses in leprosy. PLoS Neglected Trop. Dis. 2016;10(2) doi: 10.1371/journal.pntd.0004412. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fosang A.J., Colbran R.J. Transparency is the key to quality. J. Biol. Chem. 2015;290(50):29692–29694. doi: 10.1074/jbc.E115.000002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fröhlich E.E., Farzi A., Mayerhofer R., Reichmann F., Jačan A., Wagner B., Zinser E., Bordag N., Magnes C., Fröhlich E., Kashofer K., Gorkiewicz G., Holzer P. Cognitive impairment by antibiotic-induced gut dysbiosis: analysis of gut microbiota-brain communication. Brain Behav. Immun. 2016;56:140–155. doi: 10.1016/j.bbi.2016.02.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fung T.C., Olson C.A., Hsiao E.Y. Interactions between the microbiota, immune and nervous systems in health and disease. Nat. Neurosci. 2017;20(2):145–155. doi: 10.1038/nn.4476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gaffen S.L., Jain R., Garg A.V., Cua D.J. IL-23-IL-17 immune axis: discovery, mechanistic understanding, and clinical testing. Nat. Rev. Immunol. 2014;14(9):585–600. doi: 10.1038/nri3707. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gao H.-M., Zhang F., Zhou H., Kam W., Wilson B., Hong J.-S. Neuroinflammation and α-synuclein dysfunction potentiate each other, driving chronic progression of neurodegeneration in a mouse model of Parkinson's disease. Environ. Health Perspect. 2011;119(6):807–814. doi: 10.1289/ehp.1003013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Girard-Joyal O., Faragher A., Bradley K., Kane L., Hrycyk L., Ismail N. Age and sex differences in c-Fos expression and serum corticosterone concentration following LPS treatment. Neuroscience. 2015;305:293–301. doi: 10.1016/j.neuroscience.2015.06.035. [DOI] [PubMed] [Google Scholar]
- Girard-Joyal O., Ismail N. Effect of LPS treatment on tyrosine hydroxylase expression and Parkinson-like behaviors. Horm. Behav. 2017;89:1–12. doi: 10.1016/j.yhbeh.2016.12.009. [DOI] [PubMed] [Google Scholar]
- Glass C.K., Saijo K., Winner B., Marchetto M.C., Gage F.H. Mechanisms underlying inflammation in neurodegeneration. Cell. 2010;140(6):918–934. doi: 10.1016/j.cell.2010.02.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gonzales R.J., Duckles S.P., Krause D.N. Dihydrotestosterone stimulates cerebrovascular inflammation through NFκB, modulating contractile function. J. Cerebr. Blood Flow Metabol. : Official Journal of the International Society of Cerebral Blood Flow and Metabolism. 2009;29(2):244–253. doi: 10.1038/jcbfm.2008.115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Haack T.B., Ignatius E., Calvo-Garrido J., Iuso A., Isohanni P., Maffezzini C., Lönnqvist T., Suomalainen A., Gorza M., Kremer L.S., Graf E., Hartig M., Berutti R., Paucar M., Svenningsson P., Stranneheim H., Brandberg G., Wedell A., Kurian M.A., et al. Absence of the autophagy adaptor SQSTM1/p62 causes childhood-onset neurodegeneration with ataxia, dystonia, and gaze palsy. Am. J. Hum. Genet. 2016;99(3):735–743. doi: 10.1016/j.ajhg.2016.06.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hastings C., Mosteller F., Tukey J.W., Winsor C.P. Low moments for small samples: a comparative study of order statistics. Ann. Math. Stat. 1947;18(3):413–426. [Google Scholar]
- Hunter R.L., Cheng B., Choi D.-Y., Liu M., Liu S., Cass W.A., Bing G. Intrastriatal lipopolysaccharide injection induces Parkinsonism in C57/B6 mice. J. Neurosci. Res. 2009;87(8):1913–1921. doi: 10.1002/jnr.22012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ismail N., Garas P., Blaustein J.D. Long-term effects of pubertal stressors on female sexual receptivity and estrogen receptor-α expression in CD-1 female mice. Horm. Behav. 2011;59(4):565–571. doi: 10.1016/j.yhbeh.2011.02.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jašarević E., Morrison K.E., Bale T.L. Sex differences in the gut microbiome-brain axis across the lifespan. Philos. Trans. R. Soc. Lond. Ser. B Biol. Sci. 2016;371(1688) doi: 10.1098/rstb.2015.0122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kacimi R., Giffard R.G., Yenari M.A. Endotoxin-activated microglia injure brain derived endothelial cells via NF-κB, JAK-STAT and JNK stress kinase pathways. J. Inflamm. 2011;8(1):7. doi: 10.1186/1476-9255-8-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kelly L.P., Carvey P.M., Keshavarzian A., Shannon K.M., Shaikh M., Bakay R.A.E., Kordower J.H. Progression of intestinal permeability changes and alpha-synuclein expression in a mouse model of Parkinson's disease. Mov. Disord.: Official Journal of the Movement Disorder Society. 2014;29(8):999–1009. doi: 10.1002/mds.25736. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kennedy E.A., King K.Y., Baldridge M.T. Mouse microbiota models: comparing germ-free mice and antibiotics treatment as tools for modifying gut bacteria. Front. Physiol. 2018;9:1534. doi: 10.3389/fphys.2018.01534. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kolmogorova D., Murray E., Ismail N. Monitoring pathogen-induced sickness in mice and rats. Curr. Protoc. Mol. Biol. 2017;7(2):65–76. doi: 10.1002/cpmo.27. [DOI] [PubMed] [Google Scholar]
- Kolmogorova D., Paré C., Kostuck S., Hudson E.C., Lebel N., Houlding E., Gregory J.G., Ismail N. Pubertal immune stress transiently alters spatial memory processes in adulthood. Psychoneuroendocrinology. 2019;102:261–272. doi: 10.1016/j.psyneuen.2018.12.224. [DOI] [PubMed] [Google Scholar]
- Lau E., Marques C., Pestana D., Santoalha M., Carvalho D., Freitas P., Calhau C. The role of I-FABP as a biomarker of intestinal barrier dysfunction driven by gut microbiota changes in obesity. Nutr. Metabol. 2016;13:31. doi: 10.1186/s12986-016-0089-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Leclercq S., Matamoros S., Cani P.D., Neyrinck A.M., Jamar F., Stärkel P., Windey K., Tremaroli V., Bäckhed F., Verbeke K., de Timary P., Delzenne N.M. Intestinal permeability, gut-bacterial dysbiosis, and behavioral markers of alcohol-dependence severity. Proc. Natl. Acad. Sci. U.S.A. 2014;111(42):E4485–E4493. doi: 10.1073/pnas.1415174111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lee J.S., Tato C.M., Joyce-Shaikh B., Gulan F., Cayatte C., Chen Y., Blumenschein W.M., Judo M., Chen K., Ayanoglu G., McClanahan T.K., Li X., Cua D.J. IL-23-Independent IL-17 production regulates intestinal epithelial permeability. Immunity. 2015;43(4):727–738. doi: 10.1016/j.immuni.2015.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Levenson R.W., Sturm V.E., Haase C.M. Emotional and behavioral symptoms in neurodegenerative disease: a model for studying the neural bases of psychopathology. Annu. Rev. Clin. Psychol. 2014;10:581–606. doi: 10.1146/annurev-clinpsy-032813-153653. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu Z., Lee J., Krummey S., Lu W., Cai H., Lenardo M.J. The kinase LRRK2 is a regulator of the transcription factor NFAT that modulates the severity of inflammatory bowel disease. Nat. Immunol. 2011;12(11):1063–1070. doi: 10.1038/ni.2113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Loeffler D.A., Camp D.M., Conant S.B. Complement activation in the Parkinson's disease substantia nigra: an immunocytochemical study. J. Neuroinflammation. 2006;3(1):29. doi: 10.1186/1742-2094-3-29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lv W., Wu X., Chen W., Li Y., Zhang G., Chao L., Zhou J., Guo A., Liu C., Guo S. The gut microbiome modulates the changes in liver metabolism and in inflammatory processes in the brain of chronic unpredictable mild stress rats. Oxid. Med. Cell. Longev. 2019 doi: 10.1155/2019/7902874. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Magdalon J., Mansur F., Teles e Silva A.L., de Goes V.A., Reiner O., Sertié A.L. Complement system in brain architecture and neurodevelopmental disorders. Front. Neurosci. 2020;14:23. doi: 10.3389/fnins.2020.00023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maier M., Peng Y., Jiang L., Seabrook T.J., Carroll M.C., Lemere C.A. Complement C3 deficiency leads to accelerated amyloid β plaque deposition and neurodegeneration and modulation of the microglia/macrophage phenotype in amyloid precursor protein transgenic mice. J. Neurosci. 2008;28(25):6333–6341. doi: 10.1523/JNEUROSCI.0829-08.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mayilyan K.R., Weinberger D.R., Sim R.B. The complement system in schizophrenia. Drug News Perspect. 2008;21(4):200–210. doi: 10.1358/dnp.2008.21.4.1213349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McAleer J.P., Kolls J.K. Mechanisms controlling Th17 cytokine expression and host defense. J. Leukoc. Biol. 2011;90(2):263–270. doi: 10.1189/jlb.0211099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Meade R.M., Fairlie D.P., Mason J.M. Alpha-synuclein structure and Parkinson's disease – lessons and emerging principles. Mol. Neurodegener. 2019;14(1):29. doi: 10.1186/s13024-019-0329-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Minter M.R., Zhang C., Leone V., Ringus D.L., Zhang X., Oyler-Castrillo P., Musch M.W., Liao F., Ward J.F., Holtzman D.M., Chang E.B., Tanzi R.E., Sisodia S.S. Antibiotic-induced perturbations in gut microbial diversity influences neuro-inflammation and amyloidosis in a murine model of Alzheimer's disease. Sci. Rep. 2016;6(1) doi: 10.1038/srep30028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Murack M., Chandrasegaram R., Smith K.B., Ah-Yen E.G., Rheaume É., Malette-Guyon É., Nanji Z., Semchishen S.N., Latus O., Messier C., Ismail N. Chronic sleep disruption induces depression-like behavior in adolescent male and female mice and sensitization of the hypothalamic-pituitary-adrenal axis in adolescent female mice. Behav. Brain Res. 2021;399 doi: 10.1016/j.bbr.2020.113001. [DOI] [PubMed] [Google Scholar]
- Murray E., Sharma R., Smith K.B., Mar K.D., Barve R., Lukasik M., Pirwani A.F., Malette-Guyon E., Lamba S., Thomas B.J., Sadeghi-Emamchaie H., Liang J., Mallet J.-F., Matar C., Ismail N. Probiotic consumption during puberty mitigates LPS-induced immune responses and protects against stress-induced depression- and anxiety-like behaviors in adulthood in a sex-specific manner. Brain Behav. Immun. 2019;81:198–212. doi: 10.1016/j.bbi.2019.06.016. [DOI] [PubMed] [Google Scholar]
- Murray E., Smith K.B., Stoby K.S., Thomas B.J., Swenson M.J., Arber L.A., Frenette E., Ismail N. Pubertal probiotic blocks LPS-induced anxiety and the associated neurochemical and microbial outcomes, in a sex dependent manner. Psychoneuroendocrinology. 2020;112 doi: 10.1016/j.psyneuen.2019.104481. [DOI] [PubMed] [Google Scholar]
- Nitsch L., Schneider L., Zimmermann J., Müller M. Microglia-Derived interleukin 23: a crucial cytokine in Alzheimer's disease? Front. Neurol. 2021;12 doi: 10.3389/fneur.2021.639353. https://www.frontiersin.org/article/10.3389/fneur.2021.639353 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pelsers M.M.A.L., Namiot Z., Kisielewski W., Namiot A., Januszkiewicz M., Hermens W.T., Glatz J.F.C. Intestinal-type and liver-type fatty acid-binding protein in the intestine. Tissue distribution and clinical utility. Clin. Biochem. 2003;36(7):529–535. doi: 10.1016/s0009-9120(03)00096-1. [DOI] [PubMed] [Google Scholar]
- Qin J., Li R., Raes J., Arumugam M., Burgdorf K.S., Manichanh C., Nielsen T., Pons N., Levenez F., Yamada T., Mende D.R., Li J., Xu J., Li S., Li D., Cao J., Wang B., Liang H., Zheng H., et al. A human gut microbial gene catalogue established by metagenomic sequencing. Nature. 2010;464(7285):59–65. doi: 10.1038/nature08821. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ricklin D., Reis E.S., Mastellos D.C., Gros P., Lambris J.D. Complement component C3—the “Swiss Army Knife” of innate immunity and host defense. Immunol. Rev. 2016;274(1):33–58. doi: 10.1111/imr.12500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ruiz de Morales J.M.G., Puig L., Daudén E., Cañete J.D., Pablos J.L., Martín A.O., Juanatey C.G., Adán A., Montalbán X., Borruel N., Ortí G., Holgado-Martín E., García-Vidal C., Vizcaya-Morales C., Martín-Vázquez V., González-Gay M.Á. Critical role of interleukin (IL)-17 in inflammatory and immune disorders: an updated review of the evidence focusing in controversies. Autoimmun. Rev. 2020;19(1) doi: 10.1016/j.autrev.2019.102429. [DOI] [PubMed] [Google Scholar]
- Russo I., Berti G., Plotegher N., Bernardo G., Filograna R., Bubacco L., Greggio E. Leucine-rich repeat kinase 2 positively regulates inflammation and down-regulates NF-κB p50 signaling in cultured microglia cells. J. Neuroinflammation. 2015;12(1):230. doi: 10.1186/s12974-015-0449-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Santpere G., Ferrer I. LRRK2 and neurodegeneration. Acta Neuropathol. 2009;117(3):227–246. doi: 10.1007/s00401-008-0478-8. [DOI] [PubMed] [Google Scholar]
- Sharma R., Rooke J., Kolmogorova D., Melanson B., Mallet J.-F., Matar C., Schwarz J., Ismail N. Sex differences in the peripheral and central immune responses following lipopolysaccharide treatment in pubertal and adult CD-1 mice. Int. J. Dev. Neurosci. 2018;71(1):94–104. doi: 10.1016/j.ijdevneu.2018.07.012. [DOI] [PubMed] [Google Scholar]
- Shi Y., Kellingray L., Zhai Q., Gall G.L., Narbad A., Zhao J., Zhang H., Chen W. Structural and functional alterations in the microbial community and immunological consequences in a mouse model of antibiotic-induced dysbiosis. Front. Microbiol. 2018;9 doi: 10.3389/fmicb.2018.01948. https://www.frontiersin.org/article/10.3389/fmicb.2018.01948 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shivers K.-Y., Amador N., Abrams L., Hunter D., Jenab S., Quiñones-Jenab V. Estrogen alters baseline and inflammatory-induced cytokine levels independent from hypothalamic–pituitary–adrenal axis activity. Cytokine. 2015;72(2):121–129. doi: 10.1016/j.cyto.2015.01.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Siddiqui I.J., Pervaiz N., Abbasi A.A. The Parkinson Disease gene SNCA: evolutionary and structural insights with pathological implication. Sci. Rep. 2016;6(1) doi: 10.1038/srep24475. Article 1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sisk C.L., Foster D.L. The neural basis of puberty and adolescence. Nat. Neurosci. 2004;7(10) doi: 10.1038/nn1326. Article 10. [DOI] [PubMed] [Google Scholar]
- Smith K.B., Murray E., Gregory J.G., Liang J., Ismail N. Pubertal probiotics mitigate lipopolysaccharide-induced programming of the hypothalamic-pituitary-adrenal axis in male mice only. Brain Res. Bull. 2021;177:111–118. doi: 10.1016/j.brainresbull.2021.09.017. [DOI] [PubMed] [Google Scholar]
- Spielman L.J., Gibson D.L., Klegeris A. Unhealthy gut, unhealthy brain: the role of the intestinal microbiota in neurodegenerative diseases. Neurochem. Int. 2018;120:149–163. doi: 10.1016/j.neuint.2018.08.005. [DOI] [PubMed] [Google Scholar]
- Srenathan U., Steel K., Taams L.S. IL-17+ CD8+ T cells: differentiation, phenotype and role in inflammatory disease. Immunol. Lett. 2016;178:20–26. doi: 10.1016/j.imlet.2016.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Taneja V. Sex hormones determine immune response. Front. Immunol. 2018;9:1931. doi: 10.3389/fimmu.2018.01931. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Taylor S.C., Nadeau K., Abbasi M., Lachance C., Nguyen M., Fenrich J. The ultimate qPCR experiment: producing publication quality, reproducible data the first time. Trends Biotechnol. 2019;37(7):761–774. doi: 10.1016/j.tibtech.2018.12.002. [DOI] [PubMed] [Google Scholar]
- Uhde M., Ajamian M., Caio G., Giorgio R.D., Indart A., Green P.H., Verna E.C., Volta U., Alaedini A. Intestinal cell damage and systemic immune activation in individuals reporting sensitivity to wheat in the absence of coeliac disease. Gut. 2016;65(12):1930–1937. doi: 10.1136/gutjnl-2016-311964. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vyas S., Maatouk L. Contribution of glucocorticoids and glucocorticoid receptors to the regulation of neurodegenerative processes. CNS Neurol. Disord. - Drug Targets. 2013;12(8):1175–1193. [PubMed] [Google Scholar]
- Wang S., Jiang W., Ouyang T., Shen X.-Y., Wang F., Qu Y., Zhang M., Luo T., Wang H.-Q. Jatrorrhizine balances the gut microbiota and reverses learning and memory deficits in APP/PS1 transgenic mice. Sci. Rep. 2019;9(1) doi: 10.1038/s41598-019-56149-9. Article 1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Warren R.P., Burger R.A., Odell D., Torres A.R., Warren W.L. Decreased plasma concentrations of the C4B complement protein in autism. Arch. Pediatr. Adolesc. Med. 1994;148(2):180–183. doi: 10.1001/archpedi.1994.02170020066011. [DOI] [PubMed] [Google Scholar]
- Wirth M., Villeneuve S., Haase C.M., Madison C.M., Oh H., Landau S.M., Rabinovici G.D., Jagust W.J. Associations between alzheimer disease biomarkers, neurodegeneration, and cognition in cognitively normal older people. JAMA Neurol. 2013;70(12):1512–1519. doi: 10.1001/jamaneurol.2013.4013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Woodruff T.M., Lee J.D., Noakes P.G. Role for terminal complement activation in amyotrophic lateral sclerosis disease progression. Proc. Natl. Acad. Sci. USA. 2014;111(1):E3–E4. doi: 10.1073/pnas.1321248111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu T., Dejanovic B., Gandham V.D., Gogineni A., Edmonds R., Schauer S., Srinivasan K., Huntley M.A., Wang Y., Wang T.-M., Hedehus M., Barck K.H., Stark M., Ngu H., Foreman O., Meilandt W.J., Elstrott J., Chang M.C., Hansen D.V., et al. Complement C3 is activated in human AD brain and is required for neurodegeneration in mouse models of amyloidosis and tauopathy. Cell Rep. 2019;28(8):2111–2123. doi: 10.1016/j.celrep.2019.07.060. e6. [DOI] [PubMed] [Google Scholar]
- Wu X., Tian J., Wang S. Insight into non-pathogenic Th17 cells in autoimmune diseases. Front. Immunol. 2018;9:1112. doi: 10.3389/fimmu.2018.01112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yadav S.K., Boppana S., Ito N., Mindur J.E., Mathay M.T., Patel A., Dhib-Jalbut S., Ito K. Gut dysbiosis breaks immunological tolerance toward the central nervous system during young adulthood. Proc. Natl. Acad. Sci. USA. 2017;114(44):E9318–E9327. doi: 10.1073/pnas.1615715114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yahfoufi N., Matar C., Ismail N. Adolescence and aging: impact of adolescence inflammatory stress and microbiota alterations on brain development, aging, and neurodegeneration. J. Gerontol.: Series A. 2020;75(7):1251–1257. doi: 10.1093/gerona/glaa006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zarrinpar A., Chaix A., Xu Z.Z., Chang M.W., Marotz C.A., Saghatelian A., Knight R., Panda S. Antibiotic-induced microbiome depletion alters metabolic homeostasis by affecting gut signaling and colonic metabolism. Nat. Commun. 2018;9(1):2872. doi: 10.1038/s41467-018-05336-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhao J., Bi W., Xiao S., Lan X., Cheng X., Zhang J., Lu D., Wei W., Wang Y., Li H., Fu Y., Zhu L. Neuroinflammation induced by lipopolysaccharide causes cognitive impairment in mice. Sci. Rep. 2019;9(1) doi: 10.1038/s41598-019-42286-8. Article 1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zheng C., Zhou X.-W., Wang J.-Z. The dual roles of cytokines in Alzheimer's disease: update on interleukins, TNF-α, TGF-β and IFN-γ. Transl. Neurodegener. 2016;5(1):7. doi: 10.1186/s40035-016-0054-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data will be made available on request.






