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HYPOTHESIS AND THEORY article

Front. Immunol., 29 January 2026

Sec. Mucosal Immunity

Volume 16 - 2025 | https://doi.org/10.3389/fimmu.2025.1637976

Targeting gut-brain-immune axis in amyotrophic lateral sclerosis

  • Student Inquiry and Research, Illinois Mathematics and Science Academy, Aurora, IL, United States

Amyotrophic lateral sclerosis (ALS) is a fatal motor neuron neurodegenerative disorder with a median survival of only 3–5 years. The heterogeneity of the disease and lack of effective therapies highlight the importance of identifying novel pathogenic mechanisms. We hypothesize that dysbiosis of gut microbiota enhances ALS by disrupting intestinal barrier function and altering metabolite profiles to drive systemic inflammation and neuronal stress. Precisely, the decrease in health-promoting bacteria (e.g., Akkermansia muciniphila, Bifidobacterium and Lactobacillus spp.) in ALS can reduce neuroprotective metabolite production (short-chain fatty acids, nicotinamide, GABA, precursors of serotonin) and increase gut permeability, enabling lipopolysaccharide (LPS) and pro-inflammatory cytokines into the circulation. Such changes would activate microglia and impair motor neuron homeostasis by glutamate excitotoxicity and mitochondrial dysfunction. The gut-brain axis operates through immune-mediated mechanisms, where ALS-associated microbiota changes compromise mucosal immunity and trigger peripheral Th1/Th17-biased responses with impaired Treg regulation. Elevated endotoxin levels correlate with TLR4-driven inflammation, promoting pro-inflammatory cytokines (IL-1β, IL-6, TNF-α) that cross into the CNS and prime microglia toward a neurotoxic M1 phenotype, creating a milieu where IL-17A and other mediators directly injure motor neurons. Our hypothesis relies on establishing human and animal evidence of microbiome derangements, barrier dysfunction, and immune deregulation with ALS. We hypothesize that restoration of an “ALS-protective” microbiota consortium or its metabolic by-products can potentially slow disease progression. Testable hypotheses include improvement of ALS model motor deficits by probiotic or fecal-microbiota therapies, and normalization of inflammatory biomarkers. This paradigm recontextualizes ALS as a gut-brain disease and suggests new directions for translational research into this unmet medical indication.

1 Introduction

Amyotrophic lateral sclerosis (ALS) is a progressive and often fatal neurodegenerative disease of upper and lower motor neurons (1, 2). The vast majority of patients die within 3–5 years from the onset of symptoms, generally to respiratory failure, and no treatment to date has meaningfully changed its inexorable course (1, 2). This sudden unmet need provokes research into unusual pathogenic pathways (3). Emerging evidence implicates the gut-brain axis—the two-way communication between the gut and central nervous system—as a new culprit in ALS (4). Mechanically, the gut micriobiota can influence the pathogenesis of ALS through interconnected pathways, despite the gut and brain being anatomically different structures, specifically through the modulation of systemic and CNS-specific immune responses, communication through the vagus nerve and enteric nervous system (ENS), and neuroendocrine signaling like hormones (5). The microbiota in the gut is also capable of producing or stimulating host production of neurotransmitters such as serotonin, dopamine, and gamma-aminobutyric acid (GABA) (5). In other neurodegenerative disorders (Parkinson’s and Alzheimer’s disease), dysbiosis of the gut has been shown to exacerbate disease by induction of inflammation (6, 7), leaky gut, and altered microbial metabolites (8, 9). Likewise, ALS patients and animal models exhibit atypical microbiota changes (e.g., reduced Akkermansia and other commensals) (1013) and signs of impaired gut integrity (12) Compared to healthy controls, stool samples of ALS patients show less microbial diversity in the gut and signs of intestinal inflammation, creating disbyosis (12). For example, SOD1-G93A ALS mice show early loss of butyrate-producing microbes and intestinal tight-junction proteins, and sodium butyrate supplementation restores their barrier function (10, 13). Broad-spectrum antibiotics or germ-free status, on the other hand, worsens neurodegeneration in these models (14). These findings suggest that a healthy microbiome generally inhibits neurotoxic inflammation and supports motor neuron survival (4, 15), whereas dysbiosis can trigger pathological gut-brain signaling, by affecting pro-inflammatory mediators in the CNS (12, 16) (Figure 1).

Figure 1
Diagram comparing normal and dysbiosis states in the human body. On the left, normal state shows resting microglia activating to ameboid microglia, leading to a healthy neuron. Balanced microbiota is illustrated. On the right, dysbiosis shows resting microglia becoming overactive, resulting in a degenerated neuron. Unbalanced microbiota is depicted. Both states show effects on the brain and gut.

Figure 1. Normal vs. dysbiosis states of the gut microbiome and their effects on microglial activation and neuroinflammation. Healthy microbiota maintain epithelial integrity and anti-inflammatory tone, whereas dysbiosis promotes barrier disruption, systemic inflammation, and neurodegeneration.

2 Hypothesis

We predict that a dysbiotic gut-microbiome signature triggers a pro-inflammatory, excitotoxic cascade in ALS (10, 11, 13, 17) (Figure 2). Specifically, the loss of beneficial microbes (e.g. Akkermansia muciniphila, Bifidobacterium spp., Lactobacillus spp.) leads to the following: impaired mucus and epithelial barriers (12, 18), reduced production of neuroprotective metabolites (e.g., SCFAs, nicotinamide, γ-aminobutyric acid (GABA), serotonin precursors) (9, 10, 19), and augmented translocation of pro-inflammatory factors (LPS, microbial amyloids) into the bloodstream (18, 20). Such changes evoke innate immunity, activate peripheral T cells, and microglia (11, 20) and disrupt glutamate-GABA equilibrium in the CNS (10, 13, 21), causing damage to motor neurons.

Figure 2
Diagram illustrating the gut-brain axis showing the HPA axis, cortisol affecting intestinal permeability, and the relationship with a leaky gut. It depicts the microbiota, including Lactobacilli, Bifidobacteria, and Akkermansia, influencing metabolites like SCFAs and butyrate. Metabolites impact microglia, motor neurons, and decrease can lead to neuron degeneration. Nicotinamide and gamma-aminobutyric acid influence are also highlighted. Arrows depict connections between these elements.

Figure 2. Schematic of the gut–brain axis in ALS. Loss of beneficial microbes reduces neuroprotective metabolites (short-chain fatty acids, tryptophan derivatives), impairs barrier integrity, and increases systemic inflammation. These signals propagate via immune, vagal, and endocrine pathways to exacerbate motor neuron degeneration.

This points to three ALS mechanisms: systemic inflammation via cytokines/LPS (3, 18, 22), glutamate excitotoxicity via deprivation of GABA/serotonin modulation (10, 13), and mitochondrial failure via NAD deficit (10). Perturbations in the gut microbiota have been shown to alter the composition of circulating cytokines and chemokines, including immune mediators capable of crossing the blood-brain barrier and activating microglia (14). Such shifts in peripheral immune tone can reshape microglial function and morphology, promoting neuroinflammatory states that accelerate neuronal damage (14). In contrast, a healthy microbiota delivers butyrate and nicotinamide to maintain blood-brain barrier function and mitochondrial metabolism (10, 11, 13), while also delivering GABA and serotonin to mitigate excitotoxicity (9, 23). We thus hypothesize a causative link in which disruption of the microbiome leads—or contributes—to ALS, offering a tractable target for intervention (4, 14, 15, 24).

3 Supporting evidence

3.1 Gut microbiota changes in ALS

Several human cohort studies have described dysregulated gut communities in ALS, although the evidence is inconsistent. A 2023 study of ALS patients identified various microbial alterations: elevated Enterobacter, Clostridium, Veillonella and reduced Prevotella, Lactobacillus and other SCFA-producers compared to controls (11, 25). Some research identifies a reduced Firmicutes: Bacteroidetes ratio in ALS patients, while others find no difference (4), again attributing cohort heterogeneity (13). Notably, a large Swedish study observed that high antibiotic exposure (which disrupts gut flora) was associated with higher ALS risk (12, 26). In SOD1-G93A mice, there is dysbiosis before symptom onset, with the disappearance of Butyrivibrio and other butyrate-producers (13). Major human colonic butyrate producers include Faecalibacterium prausnitzii, Eubacterium rectale/Eubacterium hallii (Anaerobutyricum hallii), Roseburia spp., Butyrivibrio spp., and Anaerostipes spp., predominantly within Clostridium clusters IV and XIVa, with cross-feeding from Bifidobacterium-derived acetate and lactate sustaining butyrate output in vivo (8, 11, 13). Together, these results establish an ALS-associated gut dysbiosis (12), albeit with small sample sizes and confounders (diet, disability) preventing causality from being proven (11).

3.2 Barrier integrity and inflammation

Abnormal gut barriers have been demonstrated in ALS models: SOD1-G93A mice have leaky intestines, dysfunctional Paneth cells, and reduced tight-junction proteins (13). Treatment with sodium butyrate in these mice restored barrier function and retarded neurodegeneration (13). Elevated intestinal permeability markers (serum zonulin, DAO) and circulating LPS have also been reported in some ALS patients, indicating microbial translocation (3). Translocated LPS could activate toll-like receptors on microglia and induce systemic cytokine release (20), linking gut leakiness to the chronic neuroinflammatory state in ALS (20). Supporting this, antibiotic gut microbiome elimination in SOD1-G93A mice worsened motor decline and amplified neuroinflammatory gene signatures (10). Conversely, in a C9orf72-ALS model, reduction of the load of gut microbes (with antibiotics) even enhanced inflammation and survival (13), suggesting ALS genetic subtypes can differ in microbiota interactions (20). Such complexity supports that a balanced, rather than zero, microbiome appears protective at least in the SOD1 model (10) (Figure 3).

Figure 3
Diagram showing the effect of sodium butyrate on SOD1-G93A mice. Initially, the intestinal membrane is leaky with dysfunctional Paneth cells and decreased tight junction proteins (JAM, Occludin, Claudin). Post-treatment, the intestinal membrane and Paneth cells are restored, with increased tight junction proteins.

Figure 3. Evidence from ALS mouse models. In SOD1-G93A mice, gut dysbiosis correlates with reduced tight-junction proteins and intestinal barrier breakdown. Sodium butyrate supplementation restores barrier function and slows neurodegeneration.

3.3 Neuroactive metabolites

Gut bacteria produce neuroactive metabolites. A. muciniphila is unique: it degrades mucin to maintain the mucus layer and synthesizes nicotinamide, a precursor to NAD+ (10). Gavage with A. muciniphila in ALS mice enhanced disease progression, an effect linked to elevated nicotinamide levels; ALS patients themselves have decreased systemic and CSF nicotinamide, implying significance (10). Butyrate-producing bacteria are responsible for keeping colonic health and regulatory immunity (18), notably Faecalibacterium prausnitzii, Eubacterium rectale/E. hallii, Roseburia spp., Butyrivibrio spp., and Anaerostipes spp. (8, 13), and butyrate itself can cross the gut wall and suppress HDACs in microglia, causing a neuroprotective phenotype (18). Decreased blood butyrate levels were detected in one patient cohort (13). Numerous microbes of the gut synthesize neurotransmitters or precursors: for example, Bifidobacterium and Lactobacillus species are known as producers of GABA (4), while tryptophan-metabolizing bacteria control the availability of serotonin (4). Loss of such producers would shift the glutamate-GABA balance toward excitotoxicity (12). In PD models, Lactobacilli supplementation increases host brain GABA and serotonin (4); by analogy, we would expect that in ALS their loss could remove a crucial brake on excitatory drive (15).

3.4 Microglia and immunity

ALS motor neuron degeneration is linked to widespread microglial activation (1). Gut microbiota significantly modulates microglial phenotypes even in conditions of steady state (18). A recent SOD1-G93A mice study found that gut bacteria removal shifted microglia to a neurodegenerative profile with higher inflammatory gene expression and lower homeostatic markers before symptom worsening (10). For clarity, microglial ‘homeostatic markers’ here denote the conserved surveillant signature—exemplified by P2RY12 and TMEM119 surface/signature genes, along with core transcripts such as CX3CR1, SALL1, and HEXB—that decline as microglia transition to activated or disease-associated states (16, 24). Thus, endogenous microbiota generally inhibit ALS-relevant microglial neurotoxicity (10). Microbes also establish peripheral immunity: dysbiosis can enhance pro-inflammatory T cell populations or reduce regulatory cells, potentially worsening neuroinflammation (20). For instance, in other contexts A. muciniphila has been shown to elevate IL-17-producing T cells of the gut that can migrate to the brain (20), although the net effect may be dependent on cytokine milieu (20). In general, gut flora dysregulation has the potential to modify central and systemic immune circuits of significance to ALS pathogenesis.

3.5 Evidence from allied disorders

Analogical support for our model comes from other neurodegenerative diseases. In Alzheimer’s disease (AD) mice, A. muciniphila administration improves gut barrier function, lowers circulating endotoxin, and attenuates cerebral amyloid pathology (27, 28). In PD models (29), administration of probiotic Bifidobacterium and Lactobacillus strains lowers α-synuclein-induced neurodegeneration by augmenting mucus secretion and lowering neuroinflammation. These findings suggest that modulation of the gut microbiota can affect CNS disease in a positive manner. While ALS is exceptional in its genetics and selective motor neuron involvement, it does share downstream pathways (neuroinflammation, oxidative stress, excitotoxicity) that are plausibly modulated by the microbiome. For example, PGC-1α (a mitochondrial regulator) and the serotonergic system have been implicated in neuroprotection in ALS as well as other CNS disorders, and gut microbes can influence these pathways.

4 Discussion

4.1 Central hypothesis

We propose that ALS-linked gut dysbiosis selectively depletes key symbiotic taxa—i.e., Akkermansia muciniphila, Bifidobacterium longum, and Lactobacillus reuteri. In a healthy gut, these microbes ensure intestinal barrier integrity and regulate systemic inflammation. For example, A. muciniphila has been shown to preserve mucosal integrity, inhibit metabolic inflammation, and enhance GLP-1 secretion through ICAM-2-mediated signaling. Probiotic Lactobacillus and Bifidobacterium strains maintain intestinal health through enhanced tight junction proteins such as occludin and claudins (30, 31), while modulating host cytokine responses and gut permeability (32). In inflammatory models, treatment with Bifidobacterium restores expression of tight-junction proteins and reduces TNF-α and IL-6 levels (31). Similarly, L. reuteri protects gut barrier integrity by lowering post-antibiotic dysbiosis and inflammation in intestinal models (33).

Key to their therapeutic actions, these microbes produce neuroprotective metabolites. A. muciniphila is a significant microbial source of nicotinamide (vitamin B3), an NAD+ and NADP+ precursor vital for mitochondrial energy metabolism and neuronal repair (10). Oral A. muciniphila supplementation in SOD1-G93A ALS mice raises CNS nicotinamide concentrations, improves motor function, and postpones neurodegeneration (10). ALS patients show reduced systemic and CSF nicotinamide levels, corroborating this pathway’s translational significance (10).

Concomitantly, B. longum and L. reuteri ferment dietary fibers into short-chain fatty acids (SCFAs) such as butyrate and produce γ-aminobutyric acid (GABA), a critical inhibitory neurotransmitter (19). In SOD1 mouse models, probiotic administration containing these species elevates serum SCFAs, normalizes microbial diversity, and prolongs survival (15). GABA-producing Lactobacillus strains have been shown to increase gut epithelial barrier integrity and inhibit inflammation (19).

According to our hypothesis, depletion of these taxa in ALS reduces systemic nicotinamide, SCFAs, and GABA, destabilizing neuroimmune homeostasis. SCFAs regulate microglial maturation and promote anti-inflammatory phenotypes; their deficiency can push microglia toward a neurotoxic phenotype (24). Reduced microbial GABA production is implicated in cortical disinhibition, an early and key ALS feature (34). Convergent neurophysiology shows primary motor cortex hyperexcitability in ALS, including reduced short-interval intracortical inhibition (SICI), shortened cortical silent period, altered motor thresholds, and enhanced intracortical facilitation, often preceding or tracking early disease (1, 34). These findings align with reduced GABAergic inhibitory tone in cortical and model systems, supporting excitotoxic stress as a mechanistic link (21). Longitudinal studies highlight SICI and related measures as sensitive progression biomarkers, reinforcing cortical disinhibition as a disease hallmark rather than a single-study artifact (1, 34). In this context, Kiernan et al. synthesize cortical hyperexcitability as a core ALS feature and its clinicophysiological relevance (1), Blacher et al. connect gut-derived metabolites (e.g., nicotinamide, SCFAs) to neuronal resilience and microglial states (10), and Mazzini et al. discuss translational avenues leveraging microbiota to modulate excitability and inflammation (3).

Gut barrier integrity loss allows microbial translocation (e.g., LPS) into the bloodstream, potentially preconditioning neuroinflammation via immune activation (18, 20). Broad-spectrum antibiotic-induced dysbiosis increases neurodegenerative microglial gene expression and decreases survival in SOD1 mice (10, 14).

The model proposes ALS-associated microbiome alterations initiate a gut-to-CNS immune cascade: loss of beneficial microbes disrupt mucosal homeostasis, reduce regulatory T cell induction, and skew immunity toward Th17/Th1 polarization (3). Microbial LPS and metabolites activate gut dendritic cells and macrophages, promoting pro-inflammatory cytokines (IL-6, IL-17, IL-1β), which traffic to the spinal cord, engage glial cells, and induce neurotoxic responses (22). IL-17A, elevated in ALS patients, directly impairs motor neuron survival in vitro (22). This creates an inflammatory loop culminating in microglial activation and motor neuron injury.

In summary, we hypothesize that loss of Akkermansia muciniphila, Bifidobacterium longum, and Lactobacillus reuteri in ALS impairs intestinal barrier integrity, reduces neuroactive metabolites, and sustains neuroinflammation, driving cortical hyperexcitability and degeneration. Targeted therapies replenishing these microbes or metabolites could stabilize cortical inhibition and slow disease progression.

4.2 Controversial findings and issues

Not all studies uniformly support a simple dysbiosis-ALS link. Conflicting human microbiome trends and genetic model differences (e.g., C9orf72’s response to antibiotics differs from SOD1’s) indicate complexity (11, 35). Whether microbiome changes are causes or consequences of disease, given factors like dysphagia affecting diet, remains uncertain. Even secondary dysbiosis might contribute to a self-sustaining loop where neuroinflammation impairs gut function, further altering microbiota (11). Stringent, longitudinal, and interventional studies remain critical (4).

4.3 Future directions and testable predictions

Microbiome interventions included targeted probiotics (A. muciniphila, B. longum, L. reuteri) and fecal microbiota transplantations should be tested in ALS models for efficacy in restoring metabolites, improving gut barrier function, and modulating immune responses (4, 15). Clinical trials may assess safety, microbiome composition changes, and neurophysiological markers (2, 12).

Biomarkers such as SCFAs, nicotinamide, and immune profiles can facilitate patient stratification and monitor treatment response (11). Dietary and genetic interaction studies in humanized animal models may reveal mechanistic insights (2).

5 Immune dysregulation and neuroinflammation

5.1 T cell polarization

Dysbiosis drives a shift in the systemic T cell pool. ALS patients exhibit a pronounced Th1/Th17 bias and reduced regulatory T cell (Treg) function. Th17-related cytokines (IL-17A, IL-23) are elevated in ALS blood and CSF, and IL-17A has been shown to directly decrease motor neuron viability. Conversely, Tregs normally suppress neuroinflammation, and reduced Treg activity in ALS is associated with faster progression. In fact, early-phase trials of exogenous Treg infusions report safety and potential slowing of disease (36), underscoring the importance of Treg-mediated tolerance in ALS. We posit that gut dysbiosis perturbs the balance of Th17/Treg generation (for instance, via altered short-chain fatty acid levels), favoring pro-inflammatory T cells that infiltrate or signal into the CNS.

5.2 Gut-brain immune trafficking

Breach of the epithelial barrier permits translocation of microbial components (e.g. LPS) and recruitment of innate immune cells. Elevated LPS is documented in sporadic ALS, and experimental LPS (at physiological concentrations) disrupts intestinal tight junctions via TLR4/FAK/MyD88 signaling. This fosters local intestinal inflammation and systemic endotoxemia. Activated macrophages and dendritic cells secrete IL-1β, TNF-α, IL-6 and other cytokines. Importantly, these cytokines can traverse the blood-brain/spinal cord barriers through diffusion or active transport mechanisms, reaching glial cells. Astrocytes and microglia express receptors for IL-1β, TNF-α, etc.; their engagement triggers a neuroinflammatory program. For example, systemic IL-1β and TNF-α are known to induce reactive astrocytosis and augment microglial neurotoxicity. Thus, gut-originating signals effectively “prime” CNS immunity: pro-inflammatory cytokines produced in the periphery penetrate the CNS and stimulate local innate cells.

5.3 Microglial activation

Gut-driven immune signals ultimately bias microglial phenotype. The microbiota is a major determinant of microglial maturation and activation state. In homeostasis, the gut fosters a balanced microglial repertoire: dysbiosis drives microglia toward a chronic M1-like state, (with loss of homeostatic markers such as P2RY12 and TMEM119) (16, 24). Recent evidence shows that absence of a normal microbiome alters microglial transcriptomes and increases pro-inflammatory microglial subpopulations. In ALS, microglia adopt a disease-associated phenotype with sustained release of ROS and cytokines (IL-1β, IL-6, TNF-α). These M1 microglia contribute to motor neuron injury. In contrast, M2-like microglia (induced by signals such as IL-4/IL-10) are neuroprotective. We propose that loss of microbiota-derived modulatory signals (e.g. butyrate, bile acids) diminishes M2-promoting cues, reinforcing microglial neurotoxicity. Indeed, one study found that genetic ALS models with high inflammation showed upregulation of innate immune receptors (like RAGE) and release of pro-inflammatory exosomes from microglia. Thus, dysbiotic gut signals (via LPS, TLR4 and peripheral cytokines) catalyze a vicious cycle: activated microglia sustain neuroinflammation and accelerate ALS progression.

5.4 Epithelial-immune barrier integrity

Homeostatic crosstalk at the mucosal interface is disrupted in ALS. Gut microbes normally educate intestinal dendritic cells and intraepithelial lymphocytes to maintain tolerance (37). Dysbiosis can weaken tight junctions and mucus layers, as seen in ALS models with increased gut permeability. A leaky gut leads to constant immune stimulation by luminal antigens. Chronic mucosal inflammation may skew local immune cells toward inflammatory phenotypes (e.g. Th17 induction by segmented filamentous bacteria). Additionally, microbiota-derived metabolites (such as altered tryptophan/kynurenine ratios or reduced butyrate) can influence Treg/Th17 balance and dendritic cell activity. In ALS patients, stool analyses often reveal mucosal immune activation (e.g. elevated fecal IgA) consistent with barrier compromise. We hypothesize that barrier failure is a key initiating event: increased exposure to microbial products perpetuates systemic inflammation and sensitizes CNS glia.

6 Conclusion

In summary, we propose that the gut microbiota is a modifiable risk factor in ALS pathogenesis. This hypothesis integrates disparate observations—dysbiosis, barrier dysfunction, metabolic deficiencies, and neuroinflammation—into a coherent picture. It also positions ALS not only as a cell-autonomous neuronopathy but as a systemic disease modulated by the overall environment of the body (3, 4, 17). Given the rapid progression and current therapeutic dead-end, research into the gut-brain axis offers a thrilling translational route (2). If realized, microbiota-directed interventions (probiotics, prebiotics, fecal transplants, or microbial metabolites) could form a novel class of ALS treatments (15). We challenge the ALS research community to test these ideas in rigorous trials, leveraging interdisciplinary expertise. This microbiota-ALS hypothesis might energize the broad medical forum, unifying neurology and microbiome science to create a desperately needed breakthrough (4, 11).

Data availability statement

The original contributions presented in the study are included in the article. Further inquiries can be directed to the corresponding author.

Author contributions

NM: Conceptualization, Writing – original draft, Writing – review & editing, Project administration, Resources, Formal analysis, Investigation. LZ: Writing – original draft, Writing – review & editing, Data curation, Validation, Visualization. PS: Conceptualization, Writing – original draft, Writing – review & editing, Formal analysis, Methodology.

Funding

The author(s) declared that financial support was not received for this work and/or its publication.

Acknowledgments

We thank the Illinois Mathematics and Science Academy for providing a platform for this collaborative effort.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was not used in the creation of this manuscript.

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References

1. Kiernan MC, Vucic S, Cheah BC, Turner MR, Eisen A, Hardiman O, et al. Amyotrophic lateral sclerosis. Lancet. (2011) 377:942–55. doi: 10.1016/S0140-6736(10)61156-7

PubMed Abstract | Crossref Full Text | Google Scholar

2. Vasta R, De Mattei F, Tafaro S, Canosa A, Manera U, Grassano M, et al. Changes to average survival of patients with amyotrophic lateral sclerosis (1995–2018): Results from the Piemonte and Valle d’Aosta registry. Neurology. (2025) 104:e213467. doi: 10.1212/WNL.0000000000213467

PubMed Abstract | Crossref Full Text | Google Scholar

3. Mazzini L, Mogna L, and Marchi FD. Potential role of gut microbiota in als pathogenesis and possible therapeutic implications. J Clin Gastroenterol. (2018) 52:S85–7. doi: 10.1097/MCG.0000000000001042

PubMed Abstract | Crossref Full Text | Google Scholar

4. Dinan TG and Cryan JF. The microbiome-gut-brain axis in health and disease. Gastroenterol Clinics North America. (2017) 46:77–89. doi: 10.1016/j.gtc.2016.09.007

PubMed Abstract | Crossref Full Text | Google Scholar

5. Loh JS, Mak WQ, Tan LKS, Ng CX, Chan HH, Yeow SH, et al. Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases. Signal Transduct Target Ther. (2024) 9:37. doi: 10.1038/s41392-024-01743-1

PubMed Abstract | Crossref Full Text | Google Scholar

6. Sampson TR, Debelius JW, Thron T, Janssen S, Shastri GG, Ilhan ZE, et al. Gut microbiota regulate motor deficits and neuroinflammation in a model of parkinson’s disease. Cell. (2016) 167:1469–80. doi: 10.1016/j.cell.2016.11.018

PubMed Abstract | Crossref Full Text | Google Scholar

7. Du Hong CZ. Modulation of the gut–brain axis via the gut microbiota: a new era in treatment of amyotrophic lateral sclerosis. Front Neurol. (2023) 14. doi: 10.3389/fneur.2023.1133546

PubMed Abstract | Crossref Full Text | Google Scholar

8. Koh A, De Vadder F, Kovatcheva-Datchary P, and Bäckhed F. From dietary fiber to host physiology: Short-chain fatty acids as key bacterial metabolites. Cell. (2016) 165:1332–45. doi: 10.1016/j.cell.2016.05.041

PubMed Abstract | Crossref Full Text | Google Scholar

9. Yano JM, Yu K, Donaldson GP, Shastri GG, Ann P, Ma L, et al. Indigenous bacteria from the gut microbiota regulate host serotonin biosynthesis. Cell. (2015) 161:264–76. doi: 10.1016/j.cell.2015.02.047

PubMed Abstract | Crossref Full Text | Google Scholar

10. Blacher E, Bashiardes S, Shapiro H, Rothschild D, Mor U, Dori-Bachash M, et al. Potential roles of gut microbiome and metabolites in modulating als in mice. Nature. (2019) 572:474–80. doi: 10.1038/s41586-019-1443-5

PubMed Abstract | Crossref Full Text | Google Scholar

11. Fang X, Tan J, Chen Y, Wang L, and Yang S. Characterization of gut microbiota in amyotrophic lateral sclerosis patients: A case-control study. Front Neurol. (2023) 14:1234. doi: 10.3389/fmicb.2016.01479

PubMed Abstract | Crossref Full Text | Google Scholar

12. Rowin J, Xia Y, Jung B, and Sun J. Gut inflammation and dysbiosis in human amyotrophic lateral sclerosis. Ann Neurol. (2017) 82:610–21. doi: 10.14814/phy2.13443

PubMed Abstract | Crossref Full Text | Google Scholar

13. Zhang Y, Chen R, Luo J, Li L, Wang X, Liu Z, et al. Altered gut microbiota and intestinal barrier dysfunction in a mouse model of als. Microbiome. (2021) 9:137. doi: 10.14814/phy2.12356

PubMed Abstract | Crossref Full Text | Google Scholar

14. Minter MR, Zhang C, Leone V, Ringus DL, Zhang X, Oyler-Castrillo P, et al. Antibiotic-induced perturbations in gut microbial diversity influences neuro-inflammation and amyloidosis in a murine model of alzheimer’s disease. Sci Rep. (2016) 6:30028–8. doi: 10.1038/srep30028

PubMed Abstract | Crossref Full Text | Google Scholar

15. Zhang Y, Fan J, Deng L, Wang H, Liu X, Chen J, et al. Probiotic treatment with lactobacillus reuteri ameliorates progression of amyotrophic lateral sclerosis model. Microbiome. (2023) 11:15. doi: 10.1186/s12916-020-01607-9

PubMed Abstract | Crossref Full Text | Google Scholar

16. Matcovitch-Natan O, Winter DR, Giladi A, Vargas Aguilar S, Spinrad A, Sarrazin S, et al. Microglia development follows a stepwise program to regulate brain homeostasis. Science. (2016) 353:8670–0. doi: 10.1126/science.aad8670

PubMed Abstract | Crossref Full Text | Google Scholar

17. Zhang Y, Yang J, Wang P, Chen L, and Liu X. Gut microbiota modulation: a new therapeutic strategy for amyotrophic lateral sclerosis? Front Cell Infect Microbiol. (2023) 13:1123. doi: 10.1111/joim.13336

PubMed Abstract | Crossref Full Text | Google Scholar

18. Braniste V, Al-Asmakh M, Kowal C, Anuar F, Abbaspour A, Toth M, et al. The gut microbiota influences blood-brain barrier permeability in mice. Sci Trans Med. (2014) 6:263ra158. doi: 10.1126/scitranslmed.3009759

PubMed Abstract | Crossref Full Text | Google Scholar

19. Bajic SS. Gaba-producing dairy isolate attenuates inflammation and strengthens epithelial barrier in vitro. Front Microbiol. (2019) 10:527–7. doi: 10.3389/fmicb.2019.00527

PubMed Abstract | Crossref Full Text | Google Scholar

20. Kamada N, Seo SU, Chen GY, and Núñez G. Role of the gut microbiota in immunity and inflammatory disease. Nat Rev Immunol. (2013) 13:321–35. doi: 10.1038/nri3430

PubMed Abstract | Crossref Full Text | Google Scholar

21. Chang Q and Martin LJ. Reduced gabaergic inhibition explains cortical hyperexcitability in the wobbler mouse model of als. J Neurosci. (2009) 29:1443–52. doi: 10.1093/cercor/bhq134

PubMed Abstract | Crossref Full Text | Google Scholar

22. Kipnis J. Interleukin-17 and th17 lymphocytes directly impair motoneuron survival of wildtype and fus-als mutant human ipscs. Cells. (2021) 10:3315–5. doi: 10.3390/ijms22158042

PubMed Abstract | Crossref Full Text | Google Scholar

23. Hsiao EY, McBride SW, Hsien S, Sharon G, Hyde ER, McCue T, et al. Microbiota modulate behavioral and physiological abnormalities associated with neurodevelopmental disorders. Cell. (2013) 155:1451–63. doi: 10.1016/j.cell.2013.11.024

PubMed Abstract | Crossref Full Text | Google Scholar

24. Erny D and Hrabě De Angelis ALJD. Host microbiota constantly control maturation and function of microglia in the cns. Nat Neurosci. (2015) 18:965–77. doi: 10.1038/nn.4030

PubMed Abstract | Crossref Full Text | Google Scholar

25. Brenner D, Hiergeist A, Adis C, Mayer B, Gessner A, Ludolph AC, et al. The fecal microbiome of als patients. Neurobiol Aging. (2018) 61:132–7. doi: 10.1016/j.neurobiolaging.2017.09.023

PubMed Abstract | Crossref Full Text | Google Scholar

26. Sun J, Ludvigsson JF, Ingre C, Piehl F, Pawitan Y, Fang F, et al. Antibiotic use and risk of amyotrophic lateral sclerosis in Sweden. Eur J Neurol. (2019) 26:1355–61. doi: 10.1111/ene.13986

PubMed Abstract | Crossref Full Text | Google Scholar

27. Vogt NM, Kerby RL, Dill-McFarland KA, Harding SJ, Merluzzi AP, Johnson SC, et al. Gut microbiome alterations in alzheimer’s disease. Sci Rep. (2017) 7:13537–7. doi: 10.1038/s41598-017-13601-y

PubMed Abstract | Crossref Full Text | Google Scholar

28. Harach T, Marungruang N, Duthilleul N, Cheatham V, McCoy KD, Frisoni G, et al. Reduction of alzheimer’s disease beta-amyloid pathology in the absence of gut microbiota. Sci Rep. (2017) 7:41802–2. doi: 10.1038/srep41802

PubMed Abstract | Crossref Full Text | Google Scholar

29. Scheperjans F, Aho V, Pereira PAB, Koskinen K, Paulin L, Pekkonen E, et al. Gut microbiota are related to parkinson’s disease and clinical phenotype. Movement Disord. (2015) 30:350–8. doi: 10.1002/mds.26069

PubMed Abstract | Crossref Full Text | Google Scholar

30. Anderson RC. Lactobacillus plantarum dsm 2648 is a potential probiotic that enhances intestinal barrier function. FEMS Microbiol Lett. (2010) 309:184–92. doi: 10.1111/j.1574-6968.2010.02038.x

PubMed Abstract | Crossref Full Text | Google Scholar

31. Wang Y. Bifidobacterium adolescentis modulates tight junction protein expression in inflammatory models. Microbiol Immunol. (2015) 59:197–205. doi: 10.14814/phy2.12327

PubMed Abstract | Crossref Full Text | Google Scholar

32. Karimi S. Lactobacillus reuteri protects epithelial barrier integrity from enterotoxigenic e. coli. Physiol Rep. (2018) 6:13514–4. doi: 10.14814/phy2.13514

PubMed Abstract | Crossref Full Text | Google Scholar

33. Schepper JD. Probiotic lactobacillus reuteri prevents post-antibiotic bone loss by reducing intestinal dysbiosis and preserving barrier integrity. J Bone Miner Res. (2019) 34:681–98. doi: 10.1002/jbmr.3635

PubMed Abstract | Crossref Full Text | Google Scholar

34. Vucic S. Cortical hyperexcitability evolves with disease progression in als. Ann Neurol. (2008) 63:607–16. doi: 10.1002/acn3.51039

PubMed Abstract | Crossref Full Text | Google Scholar

35. Burberry A, Wells MF, Limone F, Couto A, Smith KS, Keaney J, et al. C9orf72 suppresses systemic and neural inflammation induced by gut bacteria. Nature. (2020) 582:89–94. doi: 10.1038/s41586-020-2288-7

PubMed Abstract | Crossref Full Text | Google Scholar

36. Thonhoff JR. Clinical safety and preliminary efficacy of regulatory t cells for als. Muscle Nerve. (2020) 61:590–8. doi: 10.1056/EVIDoa2400249

PubMed Abstract | Crossref Full Text | Google Scholar

37. Hooper LV, Littman DR, and Macpherson AJ. Interactions between the microbiota and the immune system. Science. (2012) 336:1268–73. doi: 10.1126/science.1223490

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: amyotrophic lateral sclerosis, microbiome, gut-brain axis, neurodegeneration, immune system, inflammation, nicotinamide, SCFAs

Citation: Mudda NS, Zhang L and Sampelli P (2026) Targeting gut-brain-immune axis in amyotrophic lateral sclerosis. Front. Immunol. 16:1637976. doi: 10.3389/fimmu.2025.1637976

Received: 30 May 2025; Accepted: 23 December 2025; Revised: 16 October 2025;
Published: 29 January 2026.

Edited by:

Marika Falcone, San Raffaele Hospital (IRCCS), Italy

Reviewed by:

Anna Gallone, University of Bari Aldo Moro, Italy
Guohao Wang, National Institutes of Health (NIH), United States
Shashank Kumar Maurya, University of Delhi, India

Copyright © 2026 Mudda, Zhang and Sampelli. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Naga Sriharsha Mudda, bm11ZGRhQGltc2EuZWR1

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