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Immunomodulatory and anti-inflammatory effects of probiotics in multiple sclerosis: a systematic review

Journal of Neuroinflammation volume 16, Article number: 231 (2019) Cite this article

Abstract

Multiple sclerosis (MS) is an inflammatory and autoimmune neurological disorder which leads to demyelination. Although the etiology of MS is yet to be known, it appears that regulating the immune system and suppressing inflammatory pathways may possibly have a favorable effect on the healing of this disease. Evidence suggests that probiotics consumption via gut microbiome alteration devises beneficial effects in improving immune and inflammatory responses in MS. All articles were systematically searched (in the main databases) for this paper. Two investigators independently scrutinized full texts of the potentially eligible articles. The quality of the study was evaluated using standardized tools. The methodological quality of seven studies included in this review ranged from fair to good. The findings illustrated that there were statistically significant improvements in the static and dynamic balance in patients and animals with MS. In the paper in hand, the effects of probiotics administration on immune and inflammatory markers in MS disease are evaluated. In addition, the limitations and knowledge gaps were reported while proposing a possible mechanism of probiotics therapy in modulating immune and inflammatory responses. This systematic review indicated that the probiotics could improve immune and inflammatory parameters, the cytokines and cells in MS disease. Probiotics may have efficient effects in management and treatment of MS. More studies are required to clarify the effect of supplementation with probiotics and their mechanisms in MS disease.

Background

Multiple sclerosis (MS) is considered to be a distinguished inflammatory, demyelinating and autoimmune neurological disorder affecting 2.5 million people worldwide [1]. Frequently observed symptoms are numbness, fatigue, vision loss, dizziness, cognitive defects, depression, and bowel dysfunction [1,2,3,4]. MS risk factors can be categorized into two types: genetic and environmental [1]. The key factors initiating MS, for the most part, continue to remain unknown [1, 5, 6]. MS pathology is characterized by an increase in inflammatory responses, destruction of myelin sheaths, proliferation of astrocytes, microglia activation, gliosis, and axonal degeneration [7, 8]. Additionally, numerous studies have confirmed that MS is an immune-mediated and inflammatory disease in which the myelin of the nerve cells is attacked by the immune system and mediated by the cluster of differentiation 4 (CD4) myelin-reactive T-helper 1 (Th1) cells [9,10,11,12,13,14]. Evidence has suggested that inflammation leads to degeneration of brain axons and neurons in people with MS. Anti-inflammatory and immunomodulatory treatments can prevent or delay the progression of the MS [11, 14,15,16,17]. Findings reveal that the gut microbiome may well have a notable role in the immune system regulation and exerting anti-inflammatory, antioxidant, and metabolic effects in the host [14, 18,19,20,21]. The latter suggests that targeting gut microbiome might be a crucial target for prevention, management, and control of the inflammatory and autoimmune diseases [22,23,24,25].

Evidences are accumulating to suggest that there is a bidirectional relationship between the intestine and the central nervous system (CNS), which is called the gut-brain axis [26]. Moreover, studies reported that alteration of the gut microbiome could influence inflammatory responses in human beings and animals with MS [23, 27, 28]. In this regard, Hoogen et al. [29] indicated that there was an interesting role of diet and gut microbiome in the modulation of immune diseases. Furthermore, this study determined whether MS could be treated via modification of gut microbiota and probiotics administration. On the other hand, Probiotics could have favorable effects on the host as functional food and good microorganisms [18] through normalization of the imbalance gut microbiome [30,31,32]. In addition, numerous studies have publicized that the use of probiotics could improve immune/inflammatory processes in some diseases such as type 2 diabetes [21], inflammatory bowel disease (IBD) [33], and neuroinflammatory disorders [34, 35]. In addition, some studies have exposed that probiotics intake could perform an efficient role in MS disease [35, 36]. Lactobacilli and Bifidobacteria are of the most common probiotics, which possess substantial health-promoting properties such as modulating the population and composition of gut microbiome and improving intestinal barrier function [21, 37, 38]. Furthermore, these microorganisms facilitate the production of metabolic parameters such as short-chain fatty acids (SCFAs) [39, 40] and reduce gut permeability [41], which ultimately leads to improved immune responses and decreased inflammation [21, 42, 43]. Effects of probiotics on MS are more commonly assessed in animal studies. Recently, a pilot study demonstrated that probiotics (VSL3) administration was associated with host immune system. Alteration of gut microbial composition by VSL3 supplementation had beneficial effects on the immune and inflammatory responses in patients with MS [44]. The mechanisms of the effects of probiotics administration on various features of MS are still largely undefined and require further investigation.

In this systematic review, the attempts were to evaluate the effects of probiotics consumption on human and animal models of MS and explore the mechanisms of effectiveness with a particular focus on the immune function and inflammation.

Methods

The study was performed according to the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement [45]. The systematic review was registered in PROSPERO, an international prospective register of systematic reviews (registration number, CRD42018086594).

Search methods for identification of studies

PubMed, the Cochrane Central Register of Controlled Trials (CENTRAL), Scopus, EMBASE, Web of Science, Google Scholar, and reference lists of retrieved articles (prior to December 24, 2018) were systematically searched for the various combinations of the following terms: (Multiple Sclerosis or MS or Experimental Autoimmune Encephalomyelitis (EAE) or EAE or Auto-Immune Disease or Autoimmune Disorder) and (Lactobacillus or Lactobacillales or Probiotics or Lactobacilli or Lactic Acid Bacteria or Probiotic or Bifidobacteria or Bifidobacterium). The Cochrane Library and databases (included in this review) were searched to ensure there were no other systematic reviews on this topic.

Inclusion criteria

Inclusion criteria: (1) all article written in English language; (2) interventional studies including RCTs and experimental studies, which assessed the effects of probiotics administration on immune or/and inflammatory markers in MS patients or animal models of MS (EAE); (3) studies on individuals diagnosed with MS; (4) studies reporting the association between probiotic intake and immune and inflammatory response. Also, the full text of potentially eligible articles was scrutinized independently by two investigators.

Outcome measures

Safety and tolerability outcomes included the proportion of patients who experienced any treatment-emergent adverse events (AEs), those withdrawn from the treatment for AEs, and those experienced any of the following: agitation, anxiety, cutaneous rash, diarrhea, dysgeusia, edema, euphoria, fatigue, gastric pyrosis, headache, hiccup, hot flashes, hypertension, insomnia, nausea, palpitations, and vomiting. Available data on pharmacological bioavailability were extracted.

Data extraction and quality assessment

The trials and animal studies were independently assessed by three authors for inclusion and the gained information from included trials were extracted by them as well, and, in the case of discrepancies, the final decision was made by a third investigator or by consensus. Studies were assessed based on the Population, Intervention, Comparators, Outcomes, Timing/Setting (PICOTS) framework [46]. Relevant outcomes including sample characteristics (region, population, age, gender), intervention characteristics (probiotic species and strains, duration of intervention, dose), and specific results (all immune and inflammatory markers) were extracted from the selected articles. The study quality and the risk of bias were critically evaluated using a standardized tool, which was the Cochrane Risk of Bias Tool to Agency for Healthcare Research and Quality (AHRQ) Standards and SYRCLE’s tool was used for assessing risk of bias for animal studies (Additional file 1) [47,48,49]. From each eligible article, the first author, journal, year of publication, reported risk factors, and number of studies were recorded. Any disagreement was resolved by consensus.

Results

Study selection

A total of 4650 articles were initially retrieved as shown in Fig. 1. Three thousand nine hundred five citations remained after duplicate studies were excluded (745). According to mentioned reasons, 745 articles were deemed ineligible and were subsequently removed. Then, the titles and abstracts of the remaining articles were reviewed and 114 studies were deemed to be potentially eligible (3791 articles were excluded). After reviewing the full texts of the 15 candidate articles, seven eligible articles (2 RCTs and 5 animal studies) were finally included for the present systematic review.

Fig. 1
figure 1

Collection of studies for inclusion in systematic review

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Study characteristics

Two RCTs and five animal studies were published in English language journals during February 2010 to January 2019. Three studies were carried out in Iran [35, 50], one in France [51], one in Japan [52], one in the Republic of Korea [53], and another in Sweden [54]. A summary of the study features and major results are depicted in Table 1. Both human studies were randomized, double-blinded, and placebo-controlled trial. Participants were all relapsing–remitting MS (RRMS) and identified according to McDonald criteria and an expanded disability status scale (EDSS) score ≤ 4.5, in the range age of 18–60 years with a majority of female participants, by 75–83%. The total number of individuals was in the range of 48–60. Whilst in animal studies, the female and male Myelin Oligodendrocyte Glycoprotein (MOG)-induced EAE in C57BL/6, C57/BL6J, and PLP (Proteolipid protein)-induced EAE in SJL/J mice were applied in the range age and number of 7–12 weeks and 20–70 odds, respectively. The intervention obtained probiotics including L. plantarum (n = 2) [35, 54], B. animalis (n = 1) [35], E. coli Nissle (n = 1) and archetypal (n = 1) [51], L. casei (n = 3) [50, 52], IRT5 (n = 1) [53], L. paracasei, L. delbrueckii, L. bulgaricus (n = 1) [54], L. acidophilus, B. bifidum, L. fermentum (n = 1) [50], and B. infantis, B. lactis, L. reuteri (n = 1) which was prepared in probiotic capsules for human studies and also, oral gavage for animal studies. The used dosage was 0.6–5 × 108–109 colony-forming units (CFU) for 22 to 50 days.

Table 1 Published research examining the effects of probiotics intake on immune and inflammatory markers in animal and human models of MS
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Animal studies

Five animal studies were included in the final evaluation (Table 1). Salehipour et al. [35] investigated the effect of 109 CFU/mL L. plantarum A7, B. animalis and a combination of these probiotics in an experimental model of MS. They reported that L. plantarum A7 and B. animals could ameliorate EAE condition through, ameliorated EAE condition through enhancing the anti-inflammatory cytokines and cell, such as IL (Interleukin)-10, IL-4, and TGF-β; T-regs, CD4+, CD25+, and Foxp3+ in spleen and lymph nodes together with increasing Th2 (T-helper 2) (GATA3); and T-reg (Foxp3) in spleen and brain. Additionally, a decrease in IL-17, IFN-γ (Interferon gamma), IL-6, Th1 (T-bet), and Th17 (ROR-γ) have been observed in all groups. In addition, the lowest level of inflammation and leukocyte infiltration, demyelination, and auto reactive T-cells have been reported by a combination of L. plantarum A7 and B. animalis.

Secher et al. [51] indicated that these beneficial traits were associated with a decreased secretion of inflammatory cytokines such as IL-17, IFN-γ, and TNF-α (Tumor Necrosis Factor alpha) and an increase in the production of IL-10 as an anti-inflammatory cytokine by autoreactive CD4+ T-cells, CD4+ Foxp3+ in lymph nodes. Furthermore, these beneficial traits were reportedly associated with decreasing the total numbers of CD4+ and MOG-specific CD4+ T-cells in the SC, in addition to increasing the total numbers of CD4+ and MOG-specific CD4+ T-cells in inguinal, mesenteric, and cervical by 108 CFU/animal E. coli Nissle 1917. They studied oral administration of the mentioned probiotic strain on infiltration of neuroinflammatory factors and repaired intestinal barrier dysfunction in male mice of 8 to 12 weeks old, which demonstrated that defect in intestinal barrier function could also be treated with E. coli Nissle 1917 by reducing the FD4 (FITC-Dextran 4 kDa) passage from the intestinal lumen to the blood.

Kobayashi et al. [52] in their work, indicated that 0.6–1.2 × 109 CFU/day/mouse L. casei strain Shirota (LcS) upregulated IL-17 and IFN-γ in ILN cells on days 7 and 12, IL-10, CD4+ CD25+ T-reg cells on day 7, T-reg cells in the spleen on days 7 and 12. Contrary to this, CD8+ T-cells in the spleen on day 12 decreased in LcS group.

Kwon et al. [53] showed that a mixture of five probiotics (IRT5) can ameliorate EAE. Pretreatment and treatment with IRT5 (containing of 108 CFU/g of each strain: L. casei, L. acidophilus, L. reuteni, B. bifidum, Streptococcus thermophiles) suppressed and delayed EAE onset, respectively. Also, authors elucidated that IRT5 powder could enhance IL-4, IL-10 in peripheral CD4+ T-cells and SC, IL-10+ producing CD4+ T-cells in draining lymph nodes (dLN), IL-2 and IL-10 in dLNs (as a site of inflammation) at both mRNA and protein level, and CD4+Foxp3+ T-reg in dLNs. On the other hand, plummeting pro-inflammatory cytokines (Th1/Th17; IFN-γ, TNFα, and IL-17) in peripheral CD4+ T-cells; pathogenic cytokines such as IL-1β, Th1 type (IL-2, IFN-γ, and TNFα) and Th17 type (IL-17) in SC; Th1/Th17 polarization, IL-6, IFN-γ, and TNFα at mRNA level in dLNs; IL-17, IFN-γ, and TNF-α in dLNs at both mRNA and protein level; infiltration of mononuclear cells into the SC, Gr1+, or/and CD11b+ monocyte; and CD4+ T-cells without altering the numbers of B220+ B cells in the SC have been reported in their study.

Similarly, Lavasani et al. [54] exhibited that each monostrain probiotic, individually, failed to perform a therapeutic role in MOG (myelin oligodendrocyte glycoprotein)-induced EAE in female C57BL/6 mice, and also, L. paracasei, PCC 101 and L. delbrueckii, DSM 20081 had no effect on the disease development. However, a mixture of the L. paracasei DSM 13434, L. plantarum DSM 15312, and L. plantarum DSM 15313 inhibited the progression of the disease and improved the clinical and histological signs of EAE in mesenteric lymph nodes (MLNs), the spleen, and the blood. Moreover, these probiotics established a variety of effects, such as augmentation of Th2 type cytokines, IL-4, IL-10, TGF-β1, and shifting cytokine profile from Th1 to Th2 in spleen cell cultures with L. paracasei DSM 1343 and L. plantarum DSM 15312, IL-10 by MOG-reactive T-cells in spleen cells by lacto-mix against control group, IL-10 producing CD4+T-cells in wild-type (WT) EAE by lacto-mix, IL-27 serum levels in mice fed with L. plantarum DSM 15313. Despite this, decreasing pro-inflammatory cytokines like IL-17, TNF-α, and IFN-γ from cells and infiltration of CD4+ T-cells in CNS tissues by L. paracasei DSM 1343 and L. plantarum DSM 15312, and lacto-mix have been elucidated by this group.

Overall, the animal studies well clarified that supplementation with probiotics could leave a major positive impact on the immune-inflammatory markers, reduce the severity and progression, and also delay the onset of the disease. Based on the animal studies’ reports in this systematic review, it appears that supplementation with probiotics had a modulating effect on the immune activity as well as the inflammatory cytokines.

Human studies

The two selected human studies were of significant assessment on the effect of probiotics in MS patients (Table 1). Kouchaki et al. [50] investigated the clinical and metabolic response to probiotic supplementation in patients with MS and exhibited that probiotics could alter hs-CRP levels in the probiotic group compared to the placebo group. They demonstrated that B cells’ function was drastically decreased after 12 weeks of receiving a probiotic capsule (L. acidophilus, L. casei, B. bifidum and L. fermentum).

In another study, Salami et al. assessed inflammatory biomarkers before and after 16 weeks of supplementation with a probiotic capsule comprising B. infantis, B. lactis, L. reuteri, L. casei, L. plantarum, and L. fermentum (2 × 109 CFU/day). Furthermore, they fed the control group with capsules containing maltodextrine, and the final size of each group was 24 persons per group. They were able to prove a crucial increase of serum IL-10 level. Contrary to this, the probiotic supplement remarkably decreased IL-6 and hs-CRP levels. However, no meaningful alteration in TNF-α was found after adjustment for age and BMI.

Contrary to the animal studies, the number of human studies were limited; however, according to the evidence of these two studies, it could be concluded that supplementation with probiotics may have beneficial effects on the immune function and especially inflammatory parameters. Nevertheless, more RCTs articles were needed to reach a rather satisfactory conclusion.

Discussion

In the present systematic review, the effects of several probiotic supplementations on immune and inflammatory responses in animal and human models of MS were surveyed. The majority of the reviewed studies supported the beneficial effects, including alleviation, prevention, and delaying the onset of diseases via improving immune and inflammatory mechanisms (Table 1). Therefore, it seems that immunological and biological effects of probiotics through increasing anti-inflammatory cytokines and T-reg cells, along with reducing pro-inflammatory cytokines, are the prominent mechanisms that have been demonstrated. An increase in the incidence and mortality rates related to MS remains high in the world. On the other hand, taking probiotic supplements for health and other purposes is growing. In this review, it was observed that consumption of probiotics has beneficial effects on systemic and central inflammation, as well as immune control in EAE models and MS patients.

Analysis of the method and result sections of the reviewed articles revealed that 109 CFU/mL dosage was more effective than other dosages. It is undeniably vital to note that the type of consumed probiotics species are of major significance, and the type of strains and host specificity are the most eminent factors influencing probiotics efficacy [55, 56]. Difference in environmental conditions and diet could substantially influence the results of studies. Therefore, it was not feasible to pinpoint which species could be more effective. However, in two studies, the effects of several different species on the immune and inflammatory parameters were evaluated [35, 50, 53, 54]. It was suggested that the combination of several probiotics has a stronger effect than their separate use [57, 58].

Another critical point is the duration of the interventions in human and animal reports, which is reported from 3 to 16 weeks, independent of the dosage and type of species. This systematic review indicates that the 8–12-week results were more favorable. Stronger results were reported within this period. In some cases, improvement of physiological responses was observed in 2 or 3 weeks, and favorable results were reported in relation to immunity and inflammation [59, 60].

Findings from observational studies and published RCTs suggest that several possible factors are responsible for attenuation of the association between probiotics administration and observed MS features. It was a proposed mechanism related to the effects of probiotics administration and immune and inflammatory response based on the included studies in this review (Fig. 2), but further investigations are still required.

Fig. 2
figure 2

Probiotic mechanisms in the gastrointestinal tract. Probiotics administration may manipulate gut microbial composition and reduce growth of pathogens and stimulate mucin secretion via stimulation of Goblet cells. Probiotic-mediated immunomodulation may occur through mediation of cytokine secretion through TLRs (ECs, DCs, and MQs), which can also affect proliferation and differentiation of immune cells (T-cells, CD cells, B cells) especially T-reg cells which resulted in an increase of IL-10 and TGF-β. Also, probiotics, through amplification of TJs, could improve gut permeability and also decrease entrance of LPS and pathogens from lumen into circulation. T-reg, regulatory T-cell; TLRs, toll-like receptors; ECs, endothelial cells; DCs, dendritic cells; MQs, macrophage cells; IL, interleukin; CD, cluster of differentiation; TGF-β, transforming growth factor beta; TNF-α, Tumor necrosis factor alpha; IFN-γ, Interferon gamma; TJPs, tight junction proteins; Ig, immunoglobulin g

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Proposed mechanisms of probiotics in modulating immune and inflammatory responses

Taken together, animal and human studies present that probiotics may play an acute role in the modulation of immune and inflammatory mechanisms in MS; however, the clear mechanisms have not been well defined yet. The effects of probiotics intake could be confounded by diet [61], age [62], BMI (body mass index) [63, 64], drugs [65], and stress [66]. All of these agents hold dire implications for the gut microbiome composition in addition to host gut functions (permeability and physiology). Evidence has demonstrated that the use of probiotics could improve the gut microbial population [21, 67], increasing mucus-secretion [68], and also prevent the destruction of tight junction proteins (TJs) [69] via a decrease in the amount of lipopolysaccharides (LPS). When LPS binds to toll-like receptors (TLR 2, 4) on endothelial cells (ECs), DCs (dendritic cells) and macrophage cells (MQs) are activated and inflammatory markers increase [21, 44, 70, 71]. Finally, a reduction of gut dysbiosis and gut leaky after probiotic therapy could decrease the production of inflammatory biomarkers and blunt excessive immune system stimulation (Fig. 2) [21, 27, 72,73,74]. Based on the studies cited in this review, differentiation of T-cells toward Th2 and also the production of Th2 cytokines like IL-10 and IL-4 are augmented by probiotics [53, 54]. Furthermore, another mechanism that can participate in the progression of EAE is associated with the expression of transcription factors for Th1 and Th17. Hence, the administration of probiotics would downregulate these factors [53]. Furthermore, oral supplementation with probiotics in the EAE model not only provoked the production of TGF-β and IL-10, but also increased the number of T-reg cells [44]. In particular, this reaction is simultaneous with the increasing of Foxp3 [35, 52,53,54]. Ultimately, it could be demonstrated that an upward trend in the expression of Foxp3 and GATA3 vs. a downward trend in expression of T-bet and ROR-γt are the primitive molecular immunosuppression mechanisms, which regulate the equilibrium between Th1/Th2 and Th17/T-reg toward a Th2 and T-reg response. However, the authors mentioned that they would evaluate the role of DCs and epigenetic changes in both therapeutic and prophylactic models [35, 54]. To be more precise, the secretion of IFN-γ, IL-17, GM-CSF, and TNFα was decreased, while the production of IL-10 due to an enriched population of CD4+CD25+Foxp3+T-regs was increased. Also, it was verified that oral administration of probiotics could reduce MOG-reactive T-cell proliferation and pro-inflammatory cytokine levels and increase IL-10 + or/and Foxp3+T-reg cells [54].

Limitations

Studies included in this systematic review had several limitations. (1) The gut microbiome composition has multiple differences and variations among people and animals, which may be due to differences in diet, environmental and personal characteristics, and even genetic factors, and gut microbiome, in these studies, was not evaluated directly [29]. (2) The information on the gut microbiome population is still unclear in diseases [75]. In spite of the remarkable advances in tools and technology in bioinformatics, there are still some limitations in this field. In connection with the identification of probiotics intake on gut-related mechanisms for their effects, more extensive research is needed [75]. 3) The effects of the diet on the efficiency of probiotics administration as well as gut microbiome composition are very strong [76, 77]. Therefore, in human studies, attention to the dietary differences of participants is highly essential for observing the net outcome of interventions [78]. (4) The use of various drugs, especially antibiotics drugs, can directly or indirectly affect the gut microbiome, whose effects in human studies are not well controlled [79]. Altogether, there were consistent results in human and animal studies, but the findings of human studies were likely to be less accurate than animal studies. Some possible reasons are listed below. Differences in the type of the parameters in different tissues like brain, SC, blood, etc.; the various supplemental dosages; type of species; and samples (gender and age) are due to disrupt the clear and accurate comparison of the findings among studies. In addition, human studies were very limited in this field.

Conclusion

Few investigations have specifically assessed the effect of probiotic supplements on MS in animals and humans. To date, interventional studies’ evidences suggest that probiotic supplementation may have beneficial effects on reducing the risk and preventing and delaying MS. This paper suggests that administration of probiotics positively affects CNS disorder and demyelination process, especially via gut microbiome composition improvements, which is yet to be investigated. Future studies of probiotic supplementation using particularly large-scale RCTs with adequate dosages and sample sizes in MS are required to elucidate the potential role of probiotic therapy on promotion of the immune system and suppressing inflammation.

Availability of data and materials

All data generated or analyzed during this study are included in this published article.

Abbreviations

CD:

Cluster of differentiation

CFU:

Colony-forming unit

CNS:

Central nervous system

EAE:

Experimental autoimmune encephalomyelitis;

EDSS:

Expanded disability status scale

GATA3:

GATA binding protein 3

GM-CSF:

Granulocyte-macrophage colony-stimulating factor

hs-CRP:

High-sensitivity C-reactive protein

IFN-γ:

Interferon gamma

IL:

Interleukin

LPS:

Lipopolysaccharide

MLNs:

Mesenteric lymph nodes

MOG:

Myelin oligodendrocyte glycoprotein; Multiple Sclerosis (MS)

PLP:

Proteolipid protein

PRISMA:

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

ROR-γt:

RAR-related orphan receptor gamma

SCFAs:

Short-chain fatty acids

TGF-β:

Transforming growth factor beta

Th:

T-helper cells

TLRs:

Toll-like receptors

TNFα:

Tumor necrosis factor alpha

T-reg:

Regulatory T-cell

References

  1. Polman CH, Reingold SC, Banwell B, Clanet M, Cohen JA, Filippi M, Fujihara K, Havrdova E, Hutchinson M, LJAon K. Diagnostic criteria for multiple Sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol. 2011;69:292–302.

    PubMed  PubMed Central  Article  Google Scholar 

  2. Coyle PKJCLLiN. Symptom management and lifestyle modifications in multiple Sclerosis. Continuum (Minneap Minn). 2016;22:815–36.

    Google Scholar 

  3. Mielcarz DW, Kasper LH. The gut microbiome in multiple sclerosis. Curr Treat Options Neurol. 2015;17(4):18.

  4. Chiaravalloti ND, DeLuca J. Cognitive impairment in multiple sclerosis. Lancet Neurol. 2008;7(12):1139-51.

  5. Milo R, Kahana E. Multiple sclerosis: geoepidemiology, genetics and the environment. Autoimmun Rev. 2010;9:A387–94.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  6. Ramagopalan SV, Dobson R, Meier UC, Giovannoni G. Multiple sclerosis: risk factors, prodromes, and potential causal pathways. Lancet Neurol. 2010;9:727–39.

    PubMed  Article  PubMed Central  Google Scholar 

  7. Lassmann H. Multiple sclerosis: lessons from molecular neuropathology. Exp Neurol. 2014;262:2–7.

    CAS  PubMed  Article  Google Scholar 

  8. Simons M, Misgeld T, Kerschensteiner M. A unified cell biological perspective on axon–myelin injury. J Cell Biol. 2014;206:335–45.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  9. Barnett MH, Prineas JW. Relapsing and remitting multiple sclerosis: pathology of the newly forming lesion. Ann Neurol. 2004;55:458–68.

    PubMed  Article  PubMed Central  Google Scholar 

  10. Korn T. Pathophysiology of multiple sclerosis. J Neurol. 2008;255:2–6.

    CAS  PubMed  Article  Google Scholar 

  11. Bielekova B, Martin R. Development of biomarkers in multiple sclerosis. Brain. 2004;127:1463–78.

    PubMed  Article  Google Scholar 

  12. Musette P, Bequet D, Delarbre C, Gachelin G, Kourilsky P, Dormont D. Expansion of a recurrent V beta 5.3+ T-cell population in newly diagnosed and untreated HLA-DR2 multiple Sclerosis patients. Proc Natl Acad Sci. 1996;93:12461–6.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  13. McGeachy MJ, Bak-Jensen KS, Chen Y, Tato CM, Blumenschein W, McClanahan T, Cua DJ. TGF-β and IL-6 drive the production of IL-17 and IL-10 by T cells and restrain TH-17 cell–mediated pathology. Nat Immunol. 2007;8:1390–7.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  14. Hashemi R, Morshedi M, Jafarabadi MA, Altafi D, Hosseini-Asl SS, Rafie-Arefhosseini SJNG. Anti-inflammatory effects of dietary vitamin D3 in patients with multiple Sclerosis. Neurol Genet. 2018;4:e278.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  15. Coles AJ, Wing MG, Molyneux P, Paolillo A, Davie CM, Hale G, Miller D, Waldmann H, Compston A. Monoclonal antibody treatment exposes three mechanisms underlying the clinical course of multiple sclerosis. Ann Neurol. 1999;46:296–304.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  16. Agnello D, Bigini P, Villa P, Mennini T, Cerami A, Brines ML, Ghezzi P. Erythropoietin exerts an anti-inflammatory effect on the CNS in a model of experimental autoimmune encephalomyelitis. Brain Res. 2002;952:128–34.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  17. Brinkmann V. FTY720 (fingolimod) in multiple sclerosis: therapeutic effects in the immune and the central nervous system. Br J Pharmacol. 2009;158:1173–82.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  18. Morshedi M, Valenlia KB, Hosseinifard ES, Shahabi P, Abbasi MM, Ghorbani M, Barzegari A, Sadigh-Eteghad S, Saghafi-Asl M. Beneficial psychological effects of novel psychobiotics in diabetic rats: the interaction among the gut, blood, and amygdala. J Nutr Biochem. 2018;57:145–52.

    CAS  PubMed  Article  Google Scholar 

  19. Kobayashi T, Kato I, Nanno M, Shida K, Shibuya K, Matsuoka Y, MJI O. Immunotoxicology: oral administration of probiotic bacteria, Lactobacillus casei and Bifidobacterium breve, does not exacerbate neurological symptoms in experimental autoimmune encephalomyelitis. 2010;32:116–24.

  20. Kobayashi T, Kato I, Nanno M, Shida K, Shibuya K, Matsuoka Y, Onoue M. Oral administration of probiotic bacteria, Lactobacillus casei and Bifidobacterium breve, does not exacerbate neurological symptoms in experimental autoimmune encephalomyelitis. Immunopharmacology and immunotoxicology. 2010;32(1):116-24.

  21. Hosseinifard E-S, Morshedi M, Bavafa-Valenlia K, Saghafi-Asl M. The novel insight into anti-inflammatory and anxiolytic effects of psychobiotics in diabetic rats: possible link between gut microbiota and brain regions. Eur J Nutr. 2019 1-15.

  22. Vieira SM, Pagovich OE, Kriegel MA. Diet, microbiota and autoimmune diseases. Lupus. 2014;23:518–26.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  23. Jangi S, Gandhi R, Cox LM, Li N, Von Glehn F, Yan R, Patel B, Mazzola MA, Liu S, Glanz BL. Alterations of the human gut microbiome in multiple sclerosis. Nat Commun. 2016;7:12015.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  24. Brusca SB, Abramson SB, Scher JU. Microbiome and mucosal inflammation as extra-articular triggers for rheumatoid arthritis and autoimmunity. Curr Opin Rheumatol. 2014;26:101.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  25. Forbes JD, Van Domselaar G, Bernstein CN. The gut microbiota in immune-mediated inflammatory diseases. Front Microbiol. 2016;7:1081.

    PubMed  PubMed Central  Article  Google Scholar 

  26. Mayer EA, Tillisch K, Gupta A. Gut/brain axis and the microbiota. J Clin Invest. 2015;125:926.

    PubMed  PubMed Central  Article  Google Scholar 

  27. Lee YK, Menezes JS, Umesaki Y, Mazmanian SK. Proinflammatory T-cell responses to gut microbiota promote experimental autoimmune encephalomyelitis. Proc Natl Acad Sci. 2011;108:4615–22.

    CAS  PubMed  Article  Google Scholar 

  28. Cekanaviciute E, Yoo BB, Runia TF, Debelius JW, Singh S, Nelson CA, Kanner R, Bencosme Y, Lee YK, Hauser SL. Gut bacteria from multiple sclerosis patients modulate human T cells and exacerbate symptoms in mouse models. Proc Natl Acad Sci. 2017;114:10713–8.

    CAS  PubMed  Article  Google Scholar 

  29. van den Hoogen WJ, Laman JD, t Hart BA. Modulation of multiple sclerosis and its animal model experimental autoimmune encephalomyelitis by food and gut microbiota. Front Immunol. 2017;8:1081.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  30. Morshedi M, Valenlia KB, Hosseinifard ES, Shahabi P, Abbasi MM, Ghorbani M, Barzegari A, Sadigh-Eteghad S, Saghafi-Asl MJTJonb. Beneficial psychological effects of novel psychobiotics in diabetic rats: the interaction among the gut, blood, and amygdala. J Nutr Biochem 2018, 57:145–152.

  31. Wang J, Tang H, Zhang C, Zhao Y, Derrien M, Rocher E, Vlieg JE-H, Strissel K, Zhao L, Obin M. Modulation of gut microbiota during probiotic-mediated attenuation of metabolic syndrome in high fat diet-fed mice. ISME J. 2015;9:1.

    PubMed  Article  CAS  PubMed Central  Google Scholar 

  32. Choi CH, Chang SK. Alteration of gut microbiota and efficacy of probiotics in functional constipation. J Neurogastroenterol Motil. 2015;21:4.

    PubMed  PubMed Central  Article  Google Scholar 

  33. Ganji- Arjenaki M, Rafieian- Kopaei M. Probiotics are a good choice in remission of inflammatory bowel diseases: a meta analysis and systematic review. J Cell Physiol. 2018;233:2091–103.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  34. Musa NH, Mani V, Lim SM, Vidyadaran S, Majeed ABA, Ramasamy K. Lactobacilli-fermented cow's milk attenuated lipopolysaccharide-induced neuroinflammation and memory impairment in vitro and in vivo. J Dairy Res. 2017;84:488–95.

    CAS  PubMed  Article  Google Scholar 

  35. Salehipour Z, Haghmorad D, Sankian M, Rastin M, Nosratabadi R, Dallal MMS, Tabasi N, Khazaee M, Nasiraii LR, Mahmoudi M. Bifidobacterium animalis in combination with human origin of Lactobacillus plantarum ameliorate neuroinflammation in experimental model of multiple sclerosis by altering CD4+ T cell subset balance. Biomed Pharmacother. 2017;95:1535–48.

    CAS  PubMed  Article  Google Scholar 

  36. Tankou SK, Regev K, Healy BC, Tjon E, Laghi L, Cox LM, Kivisäkk P, Pierre IV, Hrishikesh L, Gandhi R. A probiotic modulates the microbiome and immunity in multiple sclerosis. Ann Neurol. 2018;83:1147–61.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  37. Kleerebezem M, Vaughan EE. Probiotic and gut lactobacilli and bifidobacteria: molecular approaches to study diversity and activity. Annu Rev Microbiol. 2009;63:269–90.

    CAS  PubMed  Article  Google Scholar 

  38. Li J, Sung CYJ, Lee N, Ni Y, Pihlajamäki J, Panagiotou G, El-Nezami H. Probiotics modulated gut microbiota suppresses hepatocellular carcinoma growth in mice. Proc Natl Acad Sci. 2016;113:E1306–15.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  39. Wullt M, Hagslätt M-LJ, Odenholt I, Berggren A. Lactobacillus plantarum 299v enhances the concentrations of fecal short-chain fatty acids in patients with recurrent clostridium difficile-associated diarrhea. Dig Dis Sci. 2007;52:2082.

    CAS  PubMed  Article  Google Scholar 

  40. Valenlia KB, Morshedi M, Saghafi-Asl M, Shahabi P, Abbasi MMJJoFF: Beneficial impacts of Lactobacillus plantarum and inulin on hypothalamic levels of insulin, leptin, and oxidative markers in diabetic rats 2018, 46:529–537.

  41. Yadav H, Lee J-H, Lloyd J, Walter P, Rane SG. Beneficial metabolic effects of a probiotic via butyrate-induced GLP-1 hormone secretion. J Biol Chem. 2013;288:25088–97.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  42. Valenlia KB, Morshedi M, Saghafi-Asl M, Shahabi P, Abbasi MM. Beneficial impacts of Lactobacillus plantarum and inulin on hypothalamic levels of insulin, leptin, and oxidative markers in diabetic rats. J Funct Foods. 2018;46:529-37.

  43. Pagnini C, Saeed R, Bamias G, Arseneau KO, Pizarro TT, Cominelli F. Probiotics promote gut health through stimulation of epithelial innate immunity. Proc Natl Acad Sci. 2010;107:454–9.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  44. Tankou SK, Regev K, Healy BC, Cox LM, Tjon E, Kivisakk P, Vanande IP, Cook S, Gandhi R, Glanz B. Investigation of probiotics in multiple sclerosis. Mult Scler J. 2018;24:58–63.

    CAS  Article  Google Scholar 

  45. Moher D, Liberati A, Tetzlaff J, Altman DGJAoim. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. 2009;151:264–9.

  46. Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, Shekelle P, Stewart LA. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1.

    PubMed  PubMed Central  Article  Google Scholar 

  47. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151(4):264-9.

  48. Higgins JP, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, Savović J, Schulz KF, Weeks L, Sterne JA. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928.

    PubMed  PubMed Central  Article  Google Scholar 

  49. Viswanathan M, Berkman ND, Dryden DM, Hartling L. Assessing risk of bias and confounding in observational studies of interventions or exposures: further development of the RTI item bank; 2013.

    Google Scholar 

  50. Kouchaki E, Tamtaji OR, Salami M, Bahmani F, Daneshvar Kakhaki R, Akbari E, et al. Clinical and metabolic response to probiotic supplementation in patients with multiple sclerosis: a randomized, double-blind, placebo-controlled trial. Clin Nutr. 2016:1–24.

  51. Secher T, Kassem S, Benamar M, Bernard I, Boury M, Barreau F, et al. Oral administration of the probiotic strain Escherichia coli nissle 1917 reduces susceptibility to neuroinflammation and repairs experimental autoimmune encephalomyelitis-induced intestinal barrier dysfunction. Front Immunol. 2017;8:1–10.

    Article  CAS  Google Scholar 

  52. Kobayashi T, Suzuki T, Kaji R, Serata M, Nagata T, Ando M, et al. Probiotic upregulation of peripheral IL-17 responses does not exacerbate neurological symptoms in experimental autoimmune encephalomyelitis mouse models. Immunopharmacol Immunotoxicol. 2012;34(3):423–33.

    CAS  PubMed  Article  Google Scholar 

  53. Kwon HK, Kim GC, Kim Y, Hwang W, Jash A, Sahoo A, et al. Amelioration of experimental autoimmune encephalomyelitis by probiotic mixture is mediated by a shift in T helper cell immune response. Clin Immunol. 2013;146:217–27.

    CAS  PubMed  Article  Google Scholar 

  54. Lavasani S, Dzhambazov B, Nouri M, Fak F, Buske S, Molin G, et al. A novel probiotic mixture exerts a therapeutic effect on experimental autoimmune encephalomyelitis mediated by IL-10 producing regulatory T cells. PLoS One. 2010;5(2):1–11.

    Article  CAS  Google Scholar 

  55. Marteau P. Evidence of probiotic strain specificity makes extrapolation of results impossible from a strain to another, even from the same species. Ann Gastroenterol Hepatol. 2011;2:1–3.

    Google Scholar 

  56. McFarland LV, Evans CT, Goldstein EJ. Strain-specificity and disease-specificity of probiotic efficacy: a systematic review and meta-analysis. Front Med. 2018;5:124.

    Article  Google Scholar 

  57. Kajander K, Myllyluoma E, Rajilić-Stojanović M, Kyrönpalo S, Rasmussen M, Järvenpää S, Zoetendal E, De Vos W, Vapaatalo H, Korpela R. Clinical trial: multispecies probiotic supplementation alleviates the symptoms of irritable bowel syndrome and stabilizes intestinal microbiota. Aliment Pharmacol Ther. 2008;27:48–57.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  58. Timmerman H, Koning C, Mulder L, Rombouts F, Beynen A. Monostrain, multistrain and multispecies probiotics—a comparison of functionality and efficacy. Int J Food Microbiol. 2004;96:219–33.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  59. Ma X, Hua J, Li Z. Probiotics improve high fat diet-induced hepatic steatosis and insulin resistance by increasing hepatic NKT cells. J Hepatol. 2008;49:821–30.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  60. Patel RM, Myers LS, Kurundkar AR, Maheshwari A, Nusrat A, Lin PW. Probiotic bacteria induce maturation of intestinal claudin 3 expression and barrier function. Am J Pathol. 2012;180:626–35.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  61. De Filippo C, Cavalieri D, Di Paola M, Ramazzotti M, Poullet JB, Massart S, Collini S, Pieraccini G, Lionetti P. Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa. Proc Natl Acad Sci. 2010;107:14691–6.

    PubMed  Article  Google Scholar 

  62. O'Toole PW, Claesson MJ. Gut microbiota: changes throughout the lifespan from infancy to elderly. Int Dairy J. 2010;20:281–91.

    CAS  Article  Google Scholar 

  63. Turnbaugh PJ, Hamady M, Yatsunenko T, Cantarel BL, Duncan A, Ley RE, Sogin ML, Jones WJ, Roe BA, Affourtit JP. A core gut microbiome in obese and lean twins. Nature. 2009;457:480.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  64. Ley RE, Bäckhed F, Turnbaugh P, Lozupone CA, Knight RD, Gordon JI. Obesity alters gut microbial ecology. Proc Natl Acad Sci. 2005;102:11070–5.

    CAS  PubMed  Article  Google Scholar 

  65. Modi SR, Collins JJ, Relman DA. Antibiotics and the gut microbiota. J Clin Invest. 2014;124:4212–8.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  66. Cryan JF, Dinan TG. Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour. Nat Rev Neurosci. 2012;13:701.

    CAS  PubMed  Article  Google Scholar 

  67. Bull-Otterson L, Feng W, Kirpich I, Wang Y, Qin X, Liu Y, Gobejishvili L, Joshi-Barve S, Ayvaz T, Petrosino J. Metagenomic analyses of alcohol induced pathogenic alterations in the intestinal microbiome and the effect of Lactobacillus rhamnosus GG treatment. PLoS One. 2013;8:e53028.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  68. Mack D, Ahrné S, Hyde L, slS, Hollingsworth M. Extracellular MUC3 mucin secretion follows adherence of Lactobacillus strains to intestinal epithelial cells in vitro. Gut. 2003;52:827–33.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  69. Forsyth CB, Farhadi A, Jakate SM, Tang Y, Shaikh M, Keshavarzian A. Lactobacillus GG treatment ameliorates alcohol-induced intestinal oxidative stress, gut leakiness, and liver injury in a rat model of alcoholic steatohepatitis. Alcohol. 2009;43:163–72.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  70. Erridge C, Kennedy S, Spickett CM, Webb DJ. Oxidized phospholipid inhibition of toll-like receptor (TLR) signaling is restricted to TLR2 and TLR4 roles for cd14, lps-binding protein, and md2 as targets for specificity of inhibition. J Biol Chem. 2008;283:24748–59.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  71. Guo S, Al-Sadi R, Said HM, Ma TY. Lipopolysaccharide causes an increase in intestinal tight junction permeability in vitro and in vivo by inducing enterocyte membrane expression and localization of TLR-4 and CD14. Am J Pathol. 2013;182:375–87.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  72. Fung TC, Olson CA, Hsiao EY. Interactions between the microbiota, immune and nervous systems in health and disease. Nat Neurosci. 2017;20:145.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  73. Thevaranjan N, Puchta A, Schulz C, Naidoo A, Szamosi J, Verschoor CP, Loukov D, Schenck LP, Jury J, Foley KP. Age-associated microbial dysbiosis promotes intestinal permeability, systemic inflammation, and macrophage dysfunction. Cell Host Microbe. 2017;21:455–66 e454.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  74. Maldonado Galdeano C, Novotny Nunez I, Carmuega E, de Moreno de LeBlanc A, Perdigon G. Role of probiotics and functional foods in health: gut immune stimulation by two probiotic strains and a potential probiotic yoghurt. Endocr Metab Immune Disord Drug Targets. 2015;15:37–45.

    PubMed  Article  CAS  PubMed Central  Google Scholar 

  75. Arora T, Bäckhed F. The gut microbiota and metabolic disease: current understanding and future perspectives. J Intern Med. 2016;280:339–49.

    CAS  PubMed  Article  Google Scholar 

  76. Conlon M, Bird A. The impact of diet and lifestyle on gut microbiota and human health. Nutrients. 2015;7:17–44.

    Article  CAS  Google Scholar 

  77. Dave M, Higgins PD, Middha S, Rioux KP. The human gut microbiome: current knowledge, challenges, and future directions. Transl Res. 2012;160:246–57.

    CAS  PubMed  Article  Google Scholar 

  78. David LA, Maurice CF, Carmody RN, Gootenberg DB, Button JE, Wolfe BE, Ling AV, Devlin AS, Varma Y, Fischbach MA. Diet rapidly and reproducibly alters the human gut microbiome. Nature. 2014;505:559.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  79. Devkota S. Prescription drugs obscure microbiome analyses. Science. 2016;351:452–3.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

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Acknowledgments

The authors would like to thank Karin Sajtma (UMCG) for his assistance in designing the search strategy. The efforts and assistance of Erfan Ghasemipour is also appreciated for his editorial assistance. All authors read and approved the final manuscript.

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Author notes

  1. Mohammad Morshedi and Reza Hashemi contributed equally to this work.

Authors and Affiliations

  1. Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran

    Mohammad Morshedi, Reza Hashemi & Elaheh-Sadat Hosseinifard

  2. Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, 9713, GZ, the Netherlands

    Sara Moazzen

  3. Neurogenic Inflammation Research Center, Mashhad University of Medical Sciences, Mashhad, Iran

    Amirhossein Sahebkar

  4. Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran

    Amirhossein Sahebkar

  5. School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran

    Amirhossein Sahebkar

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Contributions

MM planned and conceived the study, interpreted the data, and wrote the manuscript. SM and MM searched the databases and reviewed articles for inclusion and exclusion criteria. ESH collected the data extracted and analyzed data. AS were involved in final revising and editing the manuscript. All authors have given final approval of the version to be published.

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Correspondence to Mohammad Morshedi.

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Supplementary information

Additional file 1.

Quality assessment of randomized controlled trials and animal studies.

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Morshedi, M., Hashemi, R., Moazzen, S. et al. Immunomodulatory and anti-inflammatory effects of probiotics in multiple sclerosis: a systematic review. J Neuroinflammation 16, 231 (2019). https://doi.org/10.1186/s12974-019-1611-4

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Keywords

  • Probiotics
  • Autoimmune diseases
  • Microbiome
  • Gut-brain axis
  • Gut microbiota
  • Multiple sclerosis
  • Immune/inflammatory response
  • Systematic review

Journal of Neuroinflammation

ISSN: 1742-2094