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The gut microbiota-neuroimmune crosstalk and neuropathic pain: a scoping review

Published online by Cambridge University Press:  19 June 2023

Gayani Nawarathna
Affiliation:
Department of Basic Sciences, Faculty of Dental Sciences, University of Peradeniya, Peradeniya, Sri Lanka
Kausar S. Fakhruddin
Affiliation:
Department of Preventive and Restorative Dentistry, University of Sharjah, Sharjah, UAE
Ali I. S. A. Shorbagi
Affiliation:
Clinical Sciences Department, College of Medicine, University of Sharjah, Sharjah, UAE
Lakshman P. Samaranayake*
Affiliation:
The University of Hong Kong, Hong Kong Special Administrative Region, China
*
Corresponding author: Lakshman P. Samaranayake; Email: [email protected]

Abstract

Environmental stressors can disrupt the gut–brain relationship and alter the gut microbial composition, potentially leading to chronic pain, including neuropathic pain (NP). To understand this complex relationship, we conducted a systematic scoping review to examine the gut microbial-neuroimmune connection to NP and the potential therapeutic targets. The review includes English-language manuscripts in databases such as MEDLINE, Cochrane, and DOAJ between January 2000 and April 2022. Out of the 48 full texts examined, only 15 articles met the inclusion criteria. These included a randomised controlled trial involving 327 individuals, an in vitro, and 13 animal model studies. The findings suggest that the gut flora plays a role in the immunological, neurological, and metabolic signalling pathways associated with NP. Animal studies have been the primary focus in this area, indicating that an imbalanced-gut microbiome and subsequent activation of biochemical and neuro-immunologic pathways may influence the development of NP. This review provides a comprehensive summary of the gut microbiome-immune-NP axis and identifies potential therapeutic targets. However, since most of the evidence comes from animal studies, future research should include clinical trials to gain a better understanding of the role of gut microbiota in NP and discover new therapeutic strategies.

Type
Review
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press in association with The Nutrition Society

Introduction

The human gut is home to a rich microbial community of over 100 trillion microbes comprising bacteria, fungi, archaea, viruses, and protozoa that have numerous central effects on the host’s health (Feng et al., Reference Feng, Chen and Wang2018). The gut microbiome has evolved alongside humans over the millennia, and it is now known that alterations in the gut environment caused by various stimuli such as diet and medications can beneficially or adversely affect the host’s health (Jalanka-Tuovinen et al., Reference Jalanka-Tuovinen, Salonen, Nikkilä, Immonen, Kekkonen, Lahti, Palva and de Vos2011). Energy regulation, gut barrier integrity, protection from pathogens, brain development, and immune system function all appear to depend on homeostasis between the gut microbiota and the host (Jalanka-Tuovinen et al., Reference Jalanka-Tuovinen, Salonen, Nikkilä, Immonen, Kekkonen, Lahti, Palva and de Vos2011; Belkaid and Hand, Reference Belkaid and Hand2014). It is now known that dysbiosis of the gut microbiota and the host can lead to several diseases, including metabolic (Mazidi et al., Reference Mazidi, Rezaie, Kengne, Mobarhan and Ferns2016), cardiovascular (Peng et al., Reference Peng, Xiao, Hu and Zhang2018), neurological abnormalities (Park and Kim, Reference Park and Kim2021), and gastrointestinal disorders (Ng et al., Reference Ng, Soh, Loke, Lim and Yeo2018).

Additionally, the microbiome–gut–brain axis appears to be a bidirectional signalling network connecting the brain and the gut microbiota via various neural, neurotransmitter, and molecular signalling mechanisms and pathways, as well as immunological axes (Cryan et al., Reference Cryan, O’Riordan, Cowan, Sandhu, Bastiaanssen, Boehme, Codagnone, Cussotto, Fulling, Golubeva, Guzzetta, Jaggar, Long-Smith, Lyte, Martin, Molinero-Perez, Moloney, Morelli, Morillas, O’Connor, Cruz-Pereira, Peterson, Rea, Ritz, Sherwin, Spichak, Teichman, van de Wouw, Ventura-Silva, Wallace-Fitzsimons, Hyland, Clarke and Dinan2019). Thus, the realisation of the significant role of gut microbiota in pain control, in particular, has recently aroused much excitement (Wang and Kasper, Reference Wang and Kasper2014). For instance, the gut microbiota appears to play a critical role in visceral or abdominal pain provocation. In addition, their role in inducing other types of chronic pain, including inflammatory and NP, and opioid tolerance, has been recognised (Amaral et al., Reference Amaral, Sachs, Costa, Fagundes, Cisalpino, Cunha, Ferreira, Cunha, Silva, Nicoli, Vieira, Souza and Teixeira2008; Wang and Kasper, Reference Wang and Kasper2014).

A growing body of data indicates that gut microbiota could directly trigger nociceptors via their products and/or constitutive components. For instance, nociceptor neurons are susceptible to bacterial constitutive/secretory metabolites involved in pain signalling (Defaye et al., Reference Defaye, Gervason, Altier, Berthon, Ardid, Filaire and Carvalho2020). In this context, many contemporary studies have focused on neuropathic pain (NP), which is a direct outcome of damage or injury to the nervous system or dysfunction. The latter should be differentiated from nociceptive pain due to the damage to body tissues (Cohen and Mao, Reference Cohen and Mao2014).

Chiu et al. (Reference Chiu, Heesters, Ghasemlou, von Hehn, Zhao, Tran, Wainger, Strominger, Muralidharan, Horswill, Wardenburg, Hwang, Carroll and Woolf2013) noted that bacterial formyl peptides cause mechanical pain sensitivity in mice by inducing calcium flow and action potentials in nociceptor neurons during infection. Additionally, they recently reported that pathogenic viral and fungal flora could modify nociceptor pain sensitivity through immune activation pathways (Chiu, Reference Chiu2018). Thus, gut microbiota appear to contribute to both NP as well as nociceptor pain.

In terms of the nature of the pain sensation, NP is often described as electric-like, stabbing, or lancinating. It is frequently accompanied by sensory deficiencies (numbness or tingling) and autonomic symptoms (Cohen and Mao, Reference Cohen and Mao2014). Physiological processes in NP include neuronal affections due to inflammation and spontaneous discharge of injured neurons (increase in Type III sodium channels and subunit α2δ calcium channel; decrease in opioid receptors) (Patel and Dickenson, Reference Patel and Dickenson2016).

The foregoing implies that the gut microbiota is a critical regulator of neurological, immunological, and metabolic signalling pathways, contributing to a complex network that leads to the eventual development of NP (Lin et al., Reference Lin, Wang, Zhang, Yuan, Zhang and Chen2020). Hence in this scoping review, we investigated the current theories on gut microbial-neuroimmune connection related specifically to NP and attempted to identify some potential therapeutic targets for pain alleviation.

Methods

Data sources

Three reviewers (GN, KSF, and LPS) executed an electronic data search using MEDLINE, Cochrane, and DOAJ databases for the English language manuscripts. Published reports were accessed between 1 January 2000 and 30 April 2022 to identify studies evaluating the relationship between gut microbiota, neural-immune connection, and NP.

Study selection

Inclusion criteria

  1. a. Study design: studies involving human participants or preclinical studies, including animal models lab experiments; molecular data; in vitro studies.

  2. b. Population: patients or animal models with NP.

  3. c. Setting: Clinics and lab settings.

  4. d. Date or country enforced no limitations.

Exclusion criteria

  1. a. Reports that present incomplete outcome details.

  2. b. Studies evaluating patients or animal models with other chronic pain conditions such as inflammatory pain, visceral pain, and headache.

  3. c. Studies that do not meet the set study objectives, grey literature, abstract only.

Following the PRISMA-ScR checklist containing 20 essential reporting items by Tricco et al. (Reference Tricco, Lillie, Zarin, O’Brien, Colquhoun, Levac, Moher, Peters, Horsley, Weeks, Hempel, Akl, Chang, McGowan, Stewart, Hartling, Aldcroft, Wilson, Garritty, Lewin, Godfrey, Macdonald, Langlois, Soares-Weiser, Moriarty, Clifford, Tunçalp and Straus2018) which included JBI-guided methodology, we attempted to create a comprehensive evidence synthesis about NP interlinked with the gut microbiome-neuroimmune system. Our inclusion criteria allowed for articles on Gut bacteria, the immune system, neural signal pathways, and Antiviral-medication related to NP enabling us to provide evidence mapping and conduct future-focused systematic reviews.

Search terms

A particular search string was set up for each of the databases, Table 1.

Table 1. Employed search terms in the Databases

Summary measure

The intended outcome was to examine the gut microbiota-immune-neural relationship in NP and prospective therapeutic targets for regulating variables.

Electronic data search and analysis

We designed and reported the present Scoping Reviews (ScR) in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for a systematic and comprehensive approach (Tricco et al., Reference Tricco, Lillie, Zarin, O’Brien, Colquhoun, Levac, Moher, Peters, Horsley, Weeks, Hempel, Akl, Chang, McGowan, Stewart, Hartling, Aldcroft, Wilson, Garritty, Lewin, Godfrey, Macdonald, Langlois, Soares-Weiser, Moriarty, Clifford, Tunçalp and Straus2018). Using a PRISMA flowchart (Figure 1), we describe the number of evidence sources screened, evaluated for eligibility, and included in the systematic scoping review, along with the reasons for exclusions. Two reviewers (GN and KSF) examined the titles and abstracts of all published relevant reports that met our predefined inclusion criteria during the first stage of the three-stage electronic data search and analysis. Afterwards, a full-text review of all relevant articles was conducted to thoroughly explore the data during stage two of the review process. A thorough examination of the full text of the selected literature confirmed that the eligibility criteria were met and that the reported outcomes correspond to the pre-set outcome measures. Additionally, we conducted a backward search of the references of the included reports. Finally, the reviewers (GN and KSF) extracted and assessed the data during stage two.

After the full-text review was completed, specific points related to the characteristics of each included study were mapped and recorded. This aided in classifying the study’s design, setting, intervention, and reporting jurisdiction. The sample size, assessment duration, evaluation methods, and study conclusions were analysed in detail. Finally, the third reviewer (LPS) verified the data accuracy by cross-checking these. We reviewed relevant studies on gut microbiota and NP. The identified manuscripts were catalogued using the bibliographic software tool Endnote version 20 (Clarivate Analytics, Chandler, AZ). The following table summarises the studies’ characteristics (Table 2).

Table 2. Major characteristics and results of the included studies

Quality and the overall risk of bias assessment of the included reports

During the third stage of the systematic review of available records, two reviewers (LPS and KSF) independently assessed the quality of eligible studies using the SYRCLE’s risk of bias tool for animal studies, which has ten components (Hooijmans et al., Reference Hooijmans, Rovers, de Vries, Leenaars, Ritskes-Hoitinga and Langendam2014). These components pertain to six different types of bias: selection bias, performance bias, detection bias, attrition bias, and reporting bias.

To assign a judgement of low, moderate, or unclear risk of bias to each of the 10 tool items, we followed the provided detailed list with signalling questions. A “yes” judgement indicates a low risk of bias; a “no” assessment suggests a high risk of bias, and the decision will be “unclear” if insufficient details are provided. Two independent reviewers conducted the assessments (GN and KSF), and all involved authors (GN, KSF, LPS, HCN) cross-checked the scores. Any disagreements were resolved through consensus-building discussions with the third and fourth reviewers (LPS and HCN). All reviewers involved discussed their decisions based on the cumulative scores. Low-risk reports contain a higher percentage of “yes” scores, moderate-risk reports include an “unclear” score, and high-risk reports have a higher percentage of “no” scores. So, we adopted an ≥80% score as low-risk and the risk score of ≤50% was considered high-risk as the cut-off point to include or exclude the study (Table 3).

Table 3. Risk of bias appraisal of the reviewed studies

N, no (high risk of bias); UC, unclear (moderate risk of bias); Y, yes (low risk of bias).

Results

Of the 48 full texts reviewed, only 15 articles met the set inclusion criteria (Figure 1). The reviewed articles encompassed 13 studies using various animal models (Sommer et al., Reference Sommer, Schafers, Marziniak and Toyka2001; Gwak et al., Reference Gwak, Tan, Nam, Paik, Hulsebosch and Leem2006; Costigan et al., Reference Costigan, Scholz and Woolf2009; Austin et al., Reference Austin, Kim, Perera and Moalem-Taylor2012; Bráz et al., Reference Bráz, Sharif-Naeini, Vogt, Kriegstein, Alvarez-Buylla, Rubenstein and Basbaum2012; Wardill et al., Reference Wardill, Gibson, van Sebille, Secombe, Coller, White, Manavis, Hutchinson, Staikopoulos, Logan and Bowen2016; Shen et al., Reference Shen, Lim, You, Ding, Huang, Ran, Doheny, Caravan, Tate, Hu, Kim, McCabe, Huang, Xie, Kwon, Chen and Mao2017; Ramakrishna et al., Reference Ramakrishna, Corleto, Ruegger, Logan, Peacock, Mendonca, Yamaki, Adamson, Ermel, McKemy, Borneman and Cantin2019; Yang et al., Reference Yang, Fang, Zhan, Huang, Li, Bi, Jiang, Yang, Miao, Zhu, Luo and Hashimoto2019; Brandon-Mong et al., Reference Brandon-Mong, Shaw, Chen, Chen and Wang2020; Chen et al., Reference Chen, Wang, Ren, Ye, Jiang and Wu2021; Cuozzo et al., Reference Cuozzo, Castelli, Avagliano, Cimini, d’Angelo, Cristiano and Russo2021; Ding et al., Reference Ding, You, Chen, Yang, Doheny, Zhou, Li, Wang, Hu, Chen, Xia, Wu, Wang, Zhang, Chen, Ritchie, Huang, Mao and Shen2021; Lian et al., Reference Lian, Shen, Zhang, Pan, Jiang, Yu and Yu2021), a single in vitro study (Castelli et al., Reference Castelli, Palumbo, d’Angelo, Moorthy, Antonosante, Catanesi, Lombardi, Iannotta, Cinque, Benedetti, Ippoliti, Cifone and Cimini2018), and a single randomised controlled trial (RCT) with 327 enrolled participants, Table 2 (Ellis et al., Reference Ellis, Heaton, Gianella, Rahman and Knight2022).

Figure 1. PRISMA flow chart of the literature search and study selection.

Gut microbes and CNS link

Over the last few years, a number of studies have revealed that gut microbiota potentially plays a role in pain and `depression-like` phenotypes. For instance, Yang et al. (Reference Yang, Fang, Zhan, Huang, Li, Bi, Jiang, Yang, Miao, Zhu, Luo and Hashimoto2019) observed susceptibility to anhedonia (inability to feel pleasure) following partial or spared nerve injury (SNI) in a rat model, which they surmised was linked to dysbiotic attributes of the gut microbiota. Furthermore, faecal microbiota transplantation from anhedonia-susceptible rats into antibiotics-treated, pseudo-germ-free mice significantly increased pain and depression-like behaviour, including anhedonia. Conversely, transplanting faecal microbiota from healthy rats into antibiotics-treated pseudo-germ-free mice substantially alleviated pain and depression-like behaviour, including anhedonia. These observations indicate that the aberrant composition of gut microbiota may play a modulatory role in pain and depression-like phenotypes, including anhedonia, thus showing the importance of the gut microbial and brain axis (Yang et al., Reference Yang, Fang, Zhan, Huang, Li, Bi, Jiang, Yang, Miao, Zhu, Luo and Hashimoto2019).

Nerve injury-induced altered gut microbiota and their metabolites in modulating NP

Brandon-Mong et al. (Reference Brandon-Mong, Shaw, Chen, Chen and Wang2020) were the first to suggest that spinal nerve injury (SNI) may modulate the stability of the core microbiota of the gut. On comparing the gut ecosystem of an SNI and a sham group of mice, they noted that the sham group had a stable microbiome with a predominance of the key genus of bacteria belonging to the genus Oscillospira, known to produce short-chain fatty acids (SCFA) – butyrate, and anti-inflammatory and neuroprotective – metabolites. While in contrast, the genus Staphylococcus, known for its notorious inflammatory effects, was identified as the predominant microbe in the SNI group (Brandon-Mong et al., Reference Brandon-Mong, Shaw, Chen, Chen and Wang2020).

Similarly, Chen et al. (Reference Chen, Wang, Ren, Ye, Jiang and Wu2021), in a subsequent study of experimental mice with chronic constriction injury (CCI)-induced NP and sham controls, also demonstrated altered gut microbiota between the two groups, with the beneficial, Butyricimonas genus, which produces an SCFA butyrate being diminished in the former group. They further noted an abundance of the Helicobacter genus in the CCI group, which correlated with increased levels of serum l-tyrosine and dopamine, which are important chemical mediators associated with pain transmission (Chen et al., Reference Chen, Wang, Ren, Ye, Jiang and Wu2021).

Drug-induced gut dysbiosis and metabolites in modulating NP

Mounting evidence indicates that drug-induced shifts of the gut microbiota may trigger the development of NP. Essentially this entails qualitative and quantitative changes in the gut microbiota, whence a commensal, symbiotic state turns into a dysbiotic state due to the impact of either antibiotic, antiviral, or chemotherapeutic drug.

Antibiotics: The first report of the link between antibiotics and NP was from Shen et al. (Reference Shen, Lim, You, Ding, Huang, Ran, Doheny, Caravan, Tate, Hu, Kim, McCabe, Huang, Xie, Kwon, Chen and Mao2017), who noted the alleviation of chemotherapy-induced mechanical hyperalgesia in a mouse model pretreated with antibiotics. They observed that the mechanical hyperalgesia produced by chemotherapeutic – Oxaliplatin was ameliorated in germ-free (GF) mice and/or those pretreated with antibiotics. Furthermore, they discovered that the aggregation of macrophages and cytokines in the dorsal root ganglia (DRG) was significantly reduced in antibiotic-treated mice, demonstrating connectivity between the inflammatory response and the gut microbiota. Moreover, a return to a eubiotic and healthy composition of the gut microbiota was associated with a concomitant attenuation of the inflammatory response, as well as NP (Shen et al., Reference Shen, Lim, You, Ding, Huang, Ran, Doheny, Caravan, Tate, Hu, Kim, McCabe, Huang, Xie, Kwon, Chen and Mao2017).

Antivirals: In a very recent study, Ellis et al. (Reference Ellis, Heaton, Gianella, Rahman and Knight2022) demonstrated dysbiosis of the gut microbiota in a Human Immunodeficiency Virus (HIV) – infected cohort on antiretroviral therapy in comparison to a matched cohort of healthy individuals. They noted that higher NP was associated with decreased microbial diversity and a relatively high predominance in the ratios of Blautia and Clostridium species to Lachnospira species in the HIV-infected individuals. The relative reduction of Lachnospira in the latter group appeared to have aggravated nerve damage and contributory inflammation. Interestingly, the latter species are known to produce neuro-beneficial metabolites such as small chain fatty acids (SCFA), mentioned above. Thus, they concluded that the composition and diversity of gut microbes might modulate NP and potentially contribute to pain sensation in general (Ellis et al., Reference Ellis, Heaton, Gianella, Rahman and Knight2022).

Chemotherapeutics: Paclitaxel, a class of chemotherapeutic medications called anti-microtubule agents, works by stopping the growth and spread of cancer cells. Ramakrishna et al. (Reference Ramakrishna, Corleto, Ruegger, Logan, Peacock, Mendonca, Yamaki, Adamson, Ermel, McKemy, Borneman and Cantin2019) noted in a mouse model that Paclitaxel reduces the number of beneficial bacteria in drug-treated mice’s gastrointestinal (GI) tract. For instance, Akkermansia muciniphila, which is known to improve the barrier function of the intestine, was notably reduced in the latter group. In addition, this commensal promotes mucus production, intestinal epithelial-cell renewal, and beneficial metabolites, such as short-chain fatty acids (SCFAs), all of which contribute to a healthy gut ecosystem (Ramakrishna et al., Reference Ramakrishna, Corleto, Ruegger, Logan, Peacock, Mendonca, Yamaki, Adamson, Ermel, McKemy, Borneman and Cantin2019).

Gut-neuroimmune crosstalk and immune targets in controlling NP

The central nervous system (CNS) is now recognised as critical in modulating both central and peripheral immune responses. In particular glial cells of CNS, especially microglia, appear to react to innate immune responses. This mechanism called the neuroimmune crosstalk, is maintained during neurodevelopment but is still largely unexplored. Below, we discuss the relationship between the gut microbiota and the NP as well as the effectiveness of pharmaceuticals in regulating NP via immunological targets.

Chemokine–cytokine cascade – TNFα and NP: Peripheral nerve damage initiates a cascade of immunological reactions. As a result, there is macrophage infiltration, activation of T cells, and increased expression of proinflammatory cytokines such as IL-1 and IL-6, and TNFα (Sudo et al., Reference Sudo, Chida, Aiba, Sonoda, Oyama, Yu, Kubo and Koga2004; Fregnan et al., Reference Fregnan, Muratori, Simões, Giacobini-Robecchi and Raimondo2012) Etanercept, a competitive inhibitor of TNFα, was tested by Sommer et al. (Reference Sommer, Schafers, Marziniak and Toyka2001) for its ability to reduce pain and hyperalgesia. They induced neuropathy by chronic constriction injury in the sciatic nerve of mice and noted that preventive treatment with the TNFα-sequestering agent Etanercept reduces hyperalgesia (Sommer et al., Reference Sommer, Schafers, Marziniak and Toyka2001)

In this context, Cuozzo et al. (Reference Cuozzo, Castelli, Avagliano, Cimini, d’Angelo, Cristiano and Russo2021) recently employed a mouse model to compare the benefits of a probiotic formulation of bifidobacteria and lactobacilli and the aforementioned chemotherapeutic Paclitaxel. Compared to the chemotherapeutic drugs, probiotics reduced colon tissue damage, increased cannabinoid, and opioid expression in the spinal cord, decreased inducible nitric oxide synthase, and decreased TNF- α, IL-1, and IL-6 serum levels (Cuozzo et al., Reference Cuozzo, Castelli, Avagliano, Cimini, d’Angelo, Cristiano and Russo2021).

T cells (Tregs) and NP: In their SNI experimental model, Costigan et al. (Reference Costigan, Moss, Latremoliere, Johnston, Verma-Gandhu, Herbert, Barrett, Brenner, Vardeh, Woolf and Fitzgerald2009) found that mice lacking mature T-cells had a lesser degree of hyperalgesia. Furthermore, immunohistochemical studies of the spinal dorsal horn showed T-cell infiltration and positive staining for Iba-1 and CD2 in test mice. This suggests that immunological pathways may have a dampening effect on NP (Costigan et al., Reference Costigan, Moss, Latremoliere, Johnston, Verma-Gandhu, Herbert, Barrett, Brenner, Vardeh, Woolf and Fitzgerald2009). Another animal model NP by Ding et al. (Reference Ding, You, Chen, Yang, Doheny, Zhou, Li, Wang, Hu, Chen, Xia, Wu, Wang, Zhang, Chen, Ritchie, Huang, Mao and Shen2021) showed that gut microbiota influences T-cell immune responses induced by CCI. Thus, demonstrating that the latter is inextricably linked to the induction of NP through the T-cell response pathway.

The link between the gut microbiota, NP, and immune pathways is further illustrated in the above study by Ding et al. (Reference Ding, You, Chen, Yang, Doheny, Zhou, Li, Wang, Hu, Chen, Xia, Wu, Wang, Zhang, Chen, Ritchie, Huang, Mao and Shen2021) where administration of oral antibiotics led to a dysbiotic gut microbiota which in turn dampened mechanical allodynia and thermal hyperalgesia, caused by nerve injury. However, these symptoms were alleviated after the reversal of dysbiosis to eubiosis. The researchers, therefore, postulated that the gut microbiota exerted a protective role mediated by anti-inflammatory regulatory T cells (Tregs).

In another interesting study, Austin et al. (Reference Austin, Kim, Perera and Moalem-Taylor2012) used CD28 super-agonist (CD28SupA), a T-regulatory cells (Tregs) population expander, as a therapeutic method to control NP in another animal model of CCI injury. CD28SupA significantly increased Tregs in the lymphoid tissues in the control group, which correlated with reduced numbers of T cells, macrophages, and antigen-presenting cells in the dorsal root ganglia and the sciatic nerve. Also, there were reduced numbers of microglial cells and infiltration of T cells in the spinal cord. Furthermore, depletion of Tregs by a CD25 antibody in mice with a partial sciatic nerve ligation resulted in prolonged mechanical pain hypersensitivity. These findings suggest that Tregs play a role in endogenous recovery from neuropathy-induced pain, implying that the T-cell subset may be specifically targeted to alleviate chronic NP (Austin et al., Reference Austin, Kim, Perera and Moalem-Taylor2012)

Gut microbial lipopolysaccharide (LPS), immune cell Toll-like receptors (TLRs), and NP: Lipopolysaccharides (LPS, also termed endotoxins) are intrinsic cell wall constituents of Gram-negative bacteria. On the other hand, TLRs are a family of transmembrane protein receptors that recognise microbes by binding to pathogen-associated molecular patterns (PAMP). For example, TLR4 can recognise the endotoxins of gut bacteria and, when activated, initiate a downstream signalling pathway leading to the secretion of proinflammatory cytokines and chemokines (Wardill et al., Reference Wardill, Van Sebille, Mander, Gibson, Logan, Bowen and Sonis2015). The work by the latter group on chemotherapy-induced NP (CINP) in mice model (2016) has elegantly demonstrated that TLR4 induces an exacerbated innate immune response resulting in an altered toxicity profile in these animals. Furthermore, genetic deletion of TLR4 from mice improved chemo drug-induced gut toxicity as well as NP (Wardill et al., Reference Wardill, Gibson, van Sebille, Secombe, Coller, White, Manavis, Hutchinson, Staikopoulos, Logan and Bowen2016). Thus, an intact or eubiotic gut microbiome helps immune homeostasis, alleviating NP through a microbiota-mediated signalling pathway/s.

A recent experiment by Lian et al. (Reference Lian, Shen, Zhang, Pan, Jiang, Yu and Yu2021) in a mouse model also indicates that Hydrogen-rich water therapy might suppress the LPS-TLR4 pathway by controlling the number and diversity of gut microbiota. This process appears to improve chemotherapeutic agent, Oxaliplatin-induced mechanical hyperalgesia, and reverse the imbalance of inflammatory cytokines and oxidative stress, thus alleviating CINP (Lian et al., Reference Lian, Shen, Zhang, Pan, Jiang, Yu and Yu2021).

Akin to enterocyte-expressed TLR4 in gut inflammation, glial cells expressed TLR4 also in CNS, thus modulating NP. Ramakrishna et al. (Reference Ramakrishna, Corleto, Ruegger, Logan, Peacock, Mendonca, Yamaki, Adamson, Ermel, McKemy, Borneman and Cantin2019) provide compelling evidence that spinal microgliosis is causally implicated in the chemotherapeutic agent Paclitaxel-induced NP.

Transient receptor potential (TRP) channels in Dorsal root ganglion and TLR4 in NP: There are a number of other agents that leads to TRP channel activation, and these include bacterial LPS, polyunsaturated fatty acids, and various probiotic combinations. Thus, LPS induces nociceptive neuron depolarization via the TRP channel (which TLR4 also mediates), resulting in intracellular calcium accumulation and activation of nociception neurons (Boonen et al., Reference Boonen, Alpizar, Meseguer and Talavera2018). Gut microbial metabolites such as polyunsaturated fatty acids (PUFAs) also elicit peripheral nerve hypersensitivity following TRP channel-TRPV4 activation (Michalak et al., Reference Michalak, Mosińska and Fichna2016).

Castelli et al. (Reference Castelli, Palumbo, d’Angelo, Moorthy, Antonosante, Catanesi, Lombardi, Iannotta, Cinque, Benedetti, Ippoliti, Cifone and Cimini2018) reported in an in vitro study that administering a high-concentration probiotic containing 450 billion bacteria per sachet could mitigate chemotherapy-induced NP by lowering inflammatory signals and neutralising chemotherapeutic Paclitaxel-induced elevated TRPV1 and TRPV4 channels. Therefore, the reported DSF formulation is seemed an effective adjuvant therapy for reducing cold hypersensitivity caused by physical nerve injury or chemotherapy (Castelli et al., Reference Castelli, Palumbo, d’Angelo, Moorthy, Antonosante, Catanesi, Lombardi, Iannotta, Cinque, Benedetti, Ippoliti, Cifone and Cimini2018).

Gut bacteria and excitatory and inhibitory neurotransmitters in NP: Gut bacteria can convert glutamate, an excitatory neurotransmitter, into gamma-aminobutyric acid (GABA), an inhibitory neurotransmitter. The transplantation of GABAergic precursor cells has been shown to correct allodynia in a mouse NP model, according to Bráz et al. (Reference Bráz, Sharif-Naeini, Vogt, Kriegstein, Alvarez-Buylla, Rubenstein and Basbaum2012). Based on their observation, these researchers suggest that GABAergic precursor cell transplantation could be an alternate treatment in NP-related situations.

Additionally, neurons and glial cells regulate GABA levels (Hoshino, Reference Hoshino2012). Gwak et al. (Reference Gwak, Tan, Nam, Paik, Hulsebosch and Leem2006) used the spinal cord injury (SCI) model to explore central NP following SCI. They found that SCI caused hypofunction of GABAergic tone and caused glial activation. Therefore, they suggest that specific pharmacological or molecular suppression of glial activation can improve GABAergic tone and is a possible method for treating chronic NP (Gwak et al., Reference Gwak, Tan, Nam, Paik, Hulsebosch and Leem2006).

Discussion

It has been known for over a decade that the metabolic activity of the gut microbiota could impact the functionality of distant organs, such as the brain, through critical communication axes (Carabotti et al., Reference Carabotti, Scirocco, Maselli and Severi2015). For example, in an exciting, mice-model experiment, Yang et al. (Reference Yang, Fang, Zhan, Huang, Li, Bi, Jiang, Yang, Miao, Zhu, Luo and Hashimoto2019) demonstrated a bidirectional interaction in the microbiota–gut–brain axis where faecal microbiota transplantation from robust animals without anhedonia dramatically reduced the pain, depression, and anhedonia-like behaviours in mice with SNI.

Although the exact processes and mechanisms underlying such gut microbiota and the brain crosstalk are still under investigation, signs are emerging of a number of pathways through which the gut microbiota can impact at least in some variants of pain sensations, such as NP (Figure 2). For instance, gut microbes can influence NP by modulating the immune system through synthesising several neurotransmitters, such as short-chain fatty acids (SCFAs), that have neuroprotective properties.

Figure 2. schematic diagram depicting the postulated pathways of gut-brain connectivity leading to neuropathic pain.

This review, for the first time, collates the significant findings appertaining to the gut microbiome -NP axis, and potential therapeutics in this context, as follows:

  1. a. Stress and nerve injury induced gut-dysbiosis and NP.

  2. b. Drug-induced gut dysbiosis NP.

  3. c. Gut bacteria and their metabolites in NP.

  4. d. Gut bacteria – excitatory and inhibitory neurotransmitters in NP.

  5. e. Gut-neuroimmune crosstalk and immune targets modulating NP.

Stress and nerve injury induced gut-dysbiosis and NP

It is well documented that the CNS modulates emotions and stressful situations altering the gut physiology, including motility, secretions, blood flow, nociception, and immune function. Similarly, nerve injury could impact gut microbial composition via alterations in gut functionality, such as the release of neurotransmitters, motility, and intestinal immune tone (Rhee et al., Reference Rhee, Pothoulakis and Mayer2009). For example, some two decades ago, Sudo et al. demonstrated that germ-free mice had an exaggerated hypothalamic-pituitary-adrenal (HPA) axis response to stress, which was reversed by gut colonisation with a specific bacterial species belonging to genus Bifidobacteriaceae (Sudo et al., Reference Sudo, Chida, Aiba, Sonoda, Oyama, Yu, Kubo and Koga2004).

Apart from stress, nerve injury, and NP may induce microbial dysbiosis in the gut. The experimental animal models of Brandon-Mong et al. (Reference Brandon-Mong, Shaw, Chen, Chen and Wang2020) and Chen et al. (Reference Chen, Wang, Ren, Ye, Jiang and Wu2021), where SNIP and CCI induced NP, respectively, clearly demonstrated qualitative shifts in the gut microbiota. For example, these workers noted a significant increase in the Staphylococcus species that are highly inflammogenic in their SNIIP animal models (Brandon-Mong et al., Reference Brandon-Mong, Shaw, Chen, Chen and Wang2020; Chen et al., Reference Chen, Wang, Ren, Ye, Jiang and Wu2021). Blake et al. (Reference Blake, Baral, Voisin, Lubkin, Pinho-Ribeiro, Adams, Roberson, Ma, Otto, Woolf, Torres and Chiu2018) have commented that α-hemolysin, pore-forming toxins secreted by Staphylococcus aureus that induces neuronal firing and spontaneous pain, may have contributed to the NP in the experimental animals.

Other workers have also found that stressful situations can lead to alterations in the intestinal microbial community profile, including the main microbial phyla (Galley et al., Reference Galley, Nelson, Yu, Dowd, Walter, Kumar, Lyte and Bailey2014). A cascading knock-on effect of stress and NP is the impact on the functionality of the intestinal cellular components, such as epithelial cells, immune cells, smooth muscle cells, enteric neurons, enterochromaffin cells, and interstitial cells, have been described by Mayer et al. (Reference Mayer, Savidge and Shulman2014).

In addition, neuro-pathophysiological conditions also activate the neuroendocrine stress axis with the activation of sympathetic and parasympathetic systems leading to the release of neurotransmitters that influence the mucosal barrier and indirectly undermine mucosal integrity (Li et al., Reference Li, You, Wang, Li, Sheng, Zhuang and Zhang2020). A good example is cortisol, a primary stress hormone that weakens the mucosal barriers, leading to increased intestinal permeability (Carabotti et al., Reference Carabotti, Scirocco, Maselli and Severi2015). A secondary effect of this phenomenon is the translocation of intestinal microbiota and their metabolites across the `leaky` mucosal lining, into the systemic circulation, with concomitant localised or systemic inflammation (Gareau et al., Reference Gareau, Silva and Perdue2008; Li et al., Reference Li, You, Wang, Li, Sheng, Zhuang and Zhang2020)

Drug-induced gut dysbiosis NP

Mounting evidence implies that gut dysbiosis due to various pharmacologic agents plays a critical regulatory role in the production of NP, either directly or indirectly (Lin et al., Reference Lin, Wang, Zhang, Yuan, Zhang and Chen2020). For instance, chronic pain is prevalent in human immunodeficiency virus (HIV)-infected individuals. One study has shown that antiretrovirals such as zidovudine and efavirenz against HIV have a secondary antibacterial effect against Bacteroides fragilis and Prevotella, which are major commensal constituents of gut microbiota in health. In addition, Enterococcus faecalis, another common commensal, was inhibited by the antiviral -Efavirenz (Ray et al., Reference Ray, Narayanan, Giske, Neogi, Sönnerborg and Nowak2021). Hence some have suggested that neuroinflammation and chronic NP in HIV patients could be due to gut dysbiosis precipitated by antiretroviral therapy. In a recent study, Ellis et al. (Reference Ellis, Heaton, Gianella, Rahman and Knight2022) noted that a higher degree of NP in HIV subjects was associated with decreased microbiome diversity and a relative decrease in a specific bacterial species termed Lachnospira. A reason for this appears to be a relative reduction in the metabolites of Lachnospira, including short-chain fatty acids (SCFA), that have anti-inflammatory and neuroprotective effects (Markowiak-Kopeć and Śliżewska, Reference Markowiak-Kopeć and Śliżewska2020; Ellis et al., Reference Ellis, Heaton, Gianella, Rahman and Knight2022).

Similar to antivirals, antibiotics can precipitate a dysbiotic microbiome leading to a dysfunctional gut microbial community. Shen et al. (Reference Shen, Lim, You, Ding, Huang, Ran, Doheny, Caravan, Tate, Hu, Kim, McCabe, Huang, Xie, Kwon, Chen and Mao2017) clearly demonstrated this phenomenon in a mice model; they noted that gut microbiota promotes the development of chemotherapy-induced mechanical hyperalgesia. Oxaliplatin-induced mechanical hyperalgesia was reduced in germ-free mice and mice pretreated with antibiotics. However, restoring the microbiota of germ-free mice abrogated this protection. They suggested that such effects may be mediated, in part, by TLR4 expressed on haematopoietic cells, including macrophages (Shen et al., Reference Shen, Lim, You, Ding, Huang, Ran, Doheny, Caravan, Tate, Hu, Kim, McCabe, Huang, Xie, Kwon, Chen and Mao2017).

Chemotherapy-induced gut toxicity (CIGT) is also recognised as a factor contributing to severe gastrointestinal side effects. CIGT is characterised by severe ulceration, inflammation, pain, glial cell activation, and elevated proinflammatory cytokines (Lin et al., Reference Lin, Wang, Zhang, Yuan, Zhang and Chen2020). Ramakrishna et al. (Reference Ramakrishna, Corleto, Ruegger, Logan, Peacock, Mendonca, Yamaki, Adamson, Ermel, McKemy, Borneman and Cantin2019) noted in a mouse model that the chemotherapeutic drug Paclitaxel reduces the number of beneficial commensal bacteria, such as Akkermansia muciniphila, known to facilitate gut barrier function. This organism promotes mucus production, intestinal epithelial-cell renewal, and many metabolites, such as SCFA, needed to maintain a healthy gut biome (Markowiak-Kopeć and Śliżewska, Reference Markowiak-Kopeć and Śliżewska2020). Thus, chemotherapy triggers barrier dysfunction, resulting in greater systemic exposure to toxic bacterial metabolites, enhancing systemic inflammation and pain sensitivity.

Gut bacteria and their metabolites in NP

The commensal organisms in the gastrointestinal (GI) tract produce numerous metabolites via anaerobic fermentation of indigestible complex polysaccharides such as dietary fibre and resistant starch (Havenaar, Reference Havenaar2011). As mentioned above, short-chain fatty acids (SCFAs), including acetate, propionate, and butyrate, are particularly noteworthy in this context as vital mediators of the gut–brain communication system (Havenaar, Reference Havenaar2011). The altered SCFA production attests this in various neuropathological conditions (Ma et al., Reference Ma, Xing, Long, Wang, Liu and Wang2019; Metzdorf and Tönges, Reference Metzdorf and Tönges2021; Mirzaei et al., Reference Mirzaei, Bouzari, Hosseini-Fard, Mazaheri, Ahmadyousefi, Abdi, Jalalifar, Karimitabar, Teimoori, Keyvani, Zamani, Yousefimashouf and Karampoor2021), leading to NP, as described by many (Brandon-Mong et al., Reference Brandon-Mong, Shaw, Chen, Chen and Wang2020; Chen et al., Reference Chen, Wang, Ren, Ye, Jiang and Wu2021; Ellis et al., Reference Ellis, Heaton, Gianella, Rahman and Knight2022).

So how does SCFA disrupt gut functionality and impact NP? First, butyrate modulates the immune function by playing a role in the differentiation of anti-inflammatory T regulatory cells (Treg) that controls interleukin secretion and modify NP (Bhaskaran et al., Reference Bhaskaran, Quigley, Paw, Butala, Schneider and Pandiyan2018). Second, SCFAs are known to improve gut health through focal effects ranging from maintaining intestinal barrier integrity and mucus production. Third, SCFA receptors are expressed in different cell types, including those of the gastrointestinal mucosa and the immune and nervous systems, the latter playing an essential role in moderating NP (Lin et al., Reference Lin, Wang, Zhang, Yuan, Zhang and Chen2020). Finally, SCFA appears to serve a vital function in preserving CNS homeostasis by maintaining the integrity of the blood–brain barrier (Dalile et al., Reference Dalile, van Oudenhove, Vervliet and Verbeke2019). For example, in one study, the permeability of cerebrovascular endothelial cells to the toxic lipopolysaccharides of the Gram-negative bacteria was mitigated by the SCFA propionate (Hoyles et al., Reference Hoyles, Snelling, Umlai, Nicholson, Carding, Glen and McArthur2018).

Several studies have also demonstrated that sodium butyrate inhibits microglial activation and proinflammatory cytokine production, thereby inducing NP (Huuskonen et al., Reference Huuskonen, Suuronen, Nuutinen, Kyrylenko and Salminen2004; Zhou et al., Reference Zhou, Wang, Han, Tang, Liu, Ji, Zhou and Zhang2021). Similarly, treating primary microglia cultures in vitro with acetate lowers the expression of proinflammatory cytokines IL-1, IL-6, and TNF-α expression. This implies that the reduction of SCFA-producing microorganisms may lead to a concomitant reduction of NP by influencing microglial activation and the subsequent polarisation of proinflammatory cytokines (Lin et al., Reference Lin, Wang, Zhang, Yuan, Zhang and Chen2020).

To conclude, SCFA production in the gut depends on the quality and quantity of the gut microbiota, other environmental factors, and host nutrition (Markowiak-Kopeć and Śliżewska, Reference Markowiak-Kopeć and Śliżewska2020). Hence researchers who have evaluated the impact of gut microbiome-produced SCFA have suggested that probiotic therapy may be one way that can modulate NP (Markowiak-Kopeć and Śliżewska, Reference Markowiak-Kopeć and Śliżewska2020; Zhou et al., Reference Zhou, Wang, Han, Tang, Liu, Ji, Zhou and Zhang2021).

Gut bacteria: excitatory and inhibitory neurotransmitters in NP

Pain perception is associated with various neurotransmitters, which can be broadly divided into inflammatory and noninflammatory mediators (Gwak and Luo, Reference Gwak, Luo, Sang and Hulsebosch2022). Spinal cord injury (SCI) disrupts inhibitory output, sensitising spinal dorsal horn excitatory neurons and increasing nociceptive transmission. GABA is a key inhibitory neurotransmitter hypothesised to be important in spinal inhibitory synaptic transmission. Therefore, disruptions in GABAergic inhibitory output cause neuronal hyperexcitability in the spinal dorsal horn and chronic NP after SCI (Gwak et al., Reference Gwak, Tan, Nam, Paik, Hulsebosch and Leem2006; Gwak and Luo, Reference Gwak, Luo, Sang and Hulsebosch2022).

Several reports document that the most specific neurotransmitters in NP are glutamate and GABA, being neuroexcitatory and inhibitory, respectively (Gwak and Luo, Reference Gwak, Luo, Sang and Hulsebosch2022). GABAergic precursor cell transplantation fixes allodynia in a mouse NP model (Bráz et al., Reference Bráz, Sharif-Naeini, Vogt, Kriegstein, Alvarez-Buylla, Rubenstein and Basbaum2012).

Gut bacteria such as Escherichia coli and lactobacilli synthesise GABA (Cui et al., Reference Cui, Miao, Niyaphorn and Qu2020). Hence, microbial engineering that promotes GABA production may serve as a potential next-generation probiotic technology in the context of NP regulation.

Gut-neuroimmune crosstalk and immune targets for controlling NP

Chemokine–cytokine cascade and probiotics in NP

In NP studies, chemotherapy-induced gut toxicity (CIGT) led to an elevated level of proinflammatory cytokines (IL-1β IL-6, TNF-α). Also, CIGT disrupts intestinal epithelial integrity, resulting in the translocation of the gut microbiota (Logan et al., Reference Logan, Gibson, Bowen, Stringer, Sonis and Keefe2008). Furthermore, the gut microbial metabolites stimulate host antigen-presenting cells, provoking the generation of proinflammatory mediators that are now known to be essential mediators of NP (Logan et al., Reference Logan, Gibson, Bowen, Stringer, Sonis and Keefe2008).

Several studies indicate that inhibiting overexpressed chemokines and their receptors significantly alleviates NP (Sommer et al., Reference Sommer, Schafers, Marziniak and Toyka2001; Miller et al., Reference Miller, Jung, Bhangoo and White2009). For instance, probiotic formulations can regulate the immune system by increasing anti-inflammatory cytokines (IL-10, TGF-β) and decreasing the proinflammatory cytokines (including interleukins, TNF-α IFN-γ). For example, Cuozzo et al. (Reference Cuozzo, Castelli, Avagliano, Cimini, d’Angelo, Cristiano and Russo2021) reported that, in experimental mice, the administration of a probiotic formulation of bifidobacteria and lactobacilli led to high serum levels of proinflammatory cytokines TNF-α, IL-1, and IL-6. They also noted that probiotics reduced colon tissue damage, upregulated cannabinoid and opioid expression in the spinal cord, and decreased inducible nitric oxide synthase (iNOS), all of which help reduce NP (Cuozzo et al., Reference Cuozzo, Castelli, Avagliano, Cimini, d’Angelo, Cristiano and Russo2021).

Chemokine–cytokine cascade: TNFα receptor inhibitors and NP

As noted, peripheral nerve damage initiates a cascade of immunological reactions (Miller et al., Reference Miller, Jung, Bhangoo and White2009), resulting in infiltration of macrophages, activation of T cells, and increased expression of proinflammatory cytokines, including TNFα (Totsch and Sorge, Reference Totsch and Sorge2017). The latter has received considerable attention as a mediator of NP (Miller et al., Reference Miller, Jung, Bhangoo and White2009). Etanercept, a competitive inhibitor of TNFα has been evaluated for its ability to reduce pain and hyperalgesia in an animal model of painful neuropathy due to CCI of the sciatic nerve. Etanercept reduces hyperalgesia, though it has little impact once it develops (Sommer et al., Reference Sommer, Schafers, Marziniak and Toyka2001).

Microbiota-mediated immune signalling: LPS-TLR4 pathway

Disruption of the homeostasis of the gut microbiota as well as the innate host mucosal immune system has been shown to activate TLRs, a family of transmembrane protein receptors expressed in numerous cell types, including immune cells. TLRs recognise a diverse range of danger signals from noxious substances and activate the protective innate immune system. Of the many TLR subtypes, TLR4 is the most extensively characterised and has a well-established role in the host immune response (Wardill et al., Reference Wardill, Van Sebille, Mander, Gibson, Logan, Bowen and Sonis2015). For example, TLR4 can recognise the endotoxins and recruit adaptor molecules and kinases, thus, initiating a downstream signalling cascade that culminates in the secretion of proinflammatory cytokines and chemokines (Wardill et al., Reference Wardill, Van Sebille, Mander, Gibson, Logan, Bowen and Sonis2015). Wardill et al. (Reference Wardill, Gibson, van Sebille, Secombe, Coller, White, Manavis, Hutchinson, Staikopoulos, Logan and Bowen2016) have demonstrated that TLR4- induces an exacerbated innate immune response resulting in a high toxicity profile in a CINP mice model, while deletion of the TLR4 gene in mice improved chemotherapy-induced gut toxicity as well as NP.

TLR4 in glial cells, a major supportive cell group of CNS, plays a key role in enhancing NP due to systemic inflammatory episodes, such as gut toxicity following chemotherapy or a direct assault on CNS. In addition, glial cells are pivotal for CNS homeostasis, which includes immune surveillance, clearance of debris, regulation of the chemical and ionic composition of the extracellular matrix, and maintenance of the blood–brain barrier integrity.

New data indicate that TLR4 signalling and activation pathways are promoted by the activation of glial cells, such as astrocytes and microglia (Cheng et al., Reference Cheng, Liu, Wang, Huo, Wang and Cao2015). For instance, glial cells have two distinct states: quiescent basal and activated. Activation of glial cells leads to a proinflammatory response (Lin et al., Reference Lin, Wang, Zhang, Yuan, Zhang and Chen2020). Given the role of enterocyte-expressed TLR4 in gut inflammation, it is conceivable that activation of glial cell-expressed TLR4 initiates the induction of a “cytokine storm” in the CNS and provokes NP. In this context, Ramakrishna et al. provide compelling evidence that spinal microgliosis is causally implicated in chemotherapeutics-Paclitaxel-induced NP (Ramakrishna et al., Reference Ramakrishna, Corleto, Ruegger, Logan, Peacock, Mendonca, Yamaki, Adamson, Ermel, McKemy, Borneman and Cantin2019).

Gut microbiota, hydrogen-rich water therapy, and NP

Molecular hydrogen (H2) contains antioxidant, anti-inflammatory, and anti-apoptotic properties. Consuming hydrogen-rich water may impact the quality and quantity of gut bacteria (Ge et al., Reference Ge, Yang, Yang, Yin and Song2017). In their rat-model experiment, Lian et al. (Reference Lian, Shen, Zhang, Pan, Jiang, Yu and Yu2021) demonstrated that hydrogen-rich water affects the LPS-TLR4 pathway by modifying the diversity of the gut microbiota, thereby reversing the adverse effect of inflammatory cytokines and oxidative stress and alleviating CINP.

TRP channels and therapeutic probiotics in NP

Another effect of LPS on gut microbiota mentioned above is that they induce nociceptive neuron depolarization via the activation of transient receptor potential (TRP) channels. The latter is a family of ion channels extensively expressed in primary afferent nociceptors in the dorsal root ganglion. TRP channels function as sensors that convert mechanical, chemical, and thermal stimuli to an electrical current. It is now known that LPS evokes nociceptive neuron depolarization and firing via the activation of TRP channel responses through TLR4 responses (Boonen et al., Reference Boonen, Alpizar, Meseguer and Talavera2018). Moreover, polyunsaturated fatty acids and intestinal microbial metabolites also lead to peripheral hypersensitivity after TRP channel-TRPV4 activation (Michalak et al., Reference Michalak, Mosińska and Fichna2016).

Castelli et al. (Reference Castelli, Palumbo, d’Angelo, Moorthy, Antonosante, Catanesi, Lombardi, Iannotta, Cinque, Benedetti, Ippoliti, Cifone and Cimini2018), employing an in vitro model of a sensitive neuron, found that a high-concentration probiotic (De Simone Formulation -DSF formulation) containing some 450 billion bacteria per sachet could reduce CINP by neutralising Paclitaxel-induced increased TRPV1 and TRPV4 channel activation. In clinical terms, such probiotic formulations may serve as effective adjuvant therapy for cold hypersensitivity caused by nerve injury or chemotherapy.

CD28 super agonist: a Tregs – population expander therapy in NP

Gut mucosa harbours a dynamic population of Foxp3+ regulatory T cells (Tregs) (Harrison and Powrie, Reference Harrison and Powrie2013). These cells are indispensable in suppressing the inflammatory response elicited by the activity of commensal gut microbiota. The latter, on the other hand, plays a role in modulating Treg differentiation and its homeostasis. Furthermore, this subpopulation of T lymphocytes can suppress the responses of the adaptive immune system and temper antigen-presenting cell activation by direct interaction and the secretion of anti-inflammatory molecules, including IL-10 and TGF-β (Harrison and Powrie, Reference Harrison and Powrie2013). In this manner, increasing the number of Tregs reduces neuroinflammation and alleviates mechanical pain hypersensitivity while depleting Tregs potentiates pain in animal models of neuropathy.

For instance, Austin et al. (Reference Austin, Kim, Perera and Moalem-Taylor2012) employed a CD28 super-agonist (CD28SupA), a Treg population expander, to reduce NP in an animal CCI model. Furthermore, in another experiment depleting Tregs with a CD25 antibody in mice with partial sciatic nerve ligation increased mechanical pain sensitivity implying that Tregs help neuropathy-induced pain resolution and their role in neuroimmune crosstalk (Austin et al., Reference Austin, Kim, Perera and Moalem-Taylor2012). To conclude, Treg activity, modulated by gut microbiota, affects NP indicating a clear axis of microbiota-neuroimmune crosstalk.

Review limitations

This review provides a comprehensive account of the current data on experimental animal models extant on gut–brain crosstalk and therapeutic targets related to NP. Clinical trials in this context were sparse, and we noted only a single human trial in HIV-infected individuals that evaluated the effect of an antiretroviral on NP. Nevertheless, animal models have thus far helped us to understand the basic neuropathological, biochemical, immunological, and physiologic processes underlying the discussed phenomena.

Conclusions

We review here, for the first time, the gut microbiome-immune-NP axis and the potential therapeutic targets for alleviating NP. The gut–brain axis is essentially a bidirectional nexus between the central nervous system (CNS) and the gut microbiota. Insults to the neural tissues that evoke an inflammatory response of the CNS, and the consequent NP, are basically mediated through microglial activation, production of inflammatory molecules, and migration of peripheral immune cells into the brain. These lead to the development of a cerebral inflammatory environment that impacts healthy neuronal functionality, eventually precipitating NP. Noteworthy, in this context, are the gut pathologies with increased intestinal barrier permeability and the translocation of microbial and immunologic end products that may enhance cytokine production resulting in NP.

On the other hand, the gut microbiome is a complex and dynamic ecosystem essential for maintaining intestinal homeostasis. Any dysbiosis in the gut microbiota may lead to inflammatory conditions that adversely affect the homeostasis of the neuronal system and thus evoking pain. Particularly noteworthy are the downstream immune pathways and the associated chemicals that are known to evoke pain and hence could be used as potential therapeutic targets in modulating NP.

The discovery of novel therapies and treatments for ailments requires translating ideas from animal models to humans. It necessitates a thorough comprehension of the limits of animal models as well as a careful evaluation of the variations between animal and human biology, genetics, and therapeutic response. Moreover, to ascertain safety and efficacy in treating human diseases, it is crucial to corroborate the findings from animal studies through clinical trials in humans. Clinical trials aid in identifying variations in how humans and animals react to a given treatment and clarify the shortcomings and restrictions of the animal models. Hence, future studies should include clinical trials to further comprehend the role of gut microbiota in NP in order to find new therapeutic targets.

Acknowledgements

The authors (G.N. and K.S.F.) would like to thank Professor Samaranayake and Dr Ali Shorbagi for their expertise in the subject matter of the review.

Disclosure statement

The authors declare none.

Author contribution

G.N. formulated the research question, collated and analysed the data, interpreted the findings, and contributed to writing the article. K.S.F. collated and analysed the data, interpreted the findings, prepared representative figures, and contributed to writing the article. L.P.S. critically examined and revised the manuscript and approved publishing the final version of the revised manuscript. A.I.S.A.S. critically examined the manuscript.

Funding

This research received no specific grant from any funding agency, commercial, or not-for-profit sectors.

Data availability statement

The accepted manuscript is a systematic scoping review that includes collated data presented in tabular form in the manuscript. The prescribed methodologies for conducting a systematic scoping review were meticulously adhered to and explicitly acknowledged in the Methodology section of the manuscript.

References

Amaral, F, Sachs, D, Costa, V, Fagundes, CT, Cisalpino, D, Cunha, TM, Ferreira, SH, Cunha, FQ, Silva, TA, Nicoli, JR, Vieira, LQ, Souza, DG and Teixeira, MM (2008) Commensal microbiota is fundamental for the development of inflammatory pain. Proceedings of the National Academy of Sciences 105, 21932197.CrossRefGoogle ScholarPubMed
Austin, PJ, Kim, CF, Perera, CJ and Moalem-Taylor, G (2012) Regulatory T cells attenuate neuropathic pain following peripheral nerve injury and experimental autoimmune neuritis. PAIN 153, 19161931.CrossRefGoogle ScholarPubMed
Belkaid, Y and Hand, TW (2014) Role of the microbiota in immunity and inflammation. Cell 157, 121141.CrossRefGoogle ScholarPubMed
Bhaskaran, N, Quigley, C, Paw, C, Butala, S, Schneider, E and Pandiyan, P (2018) Role of short chain fatty acids in controlling T(regs) and immunopathology during mucosal infection. Frontiers in Microbiology 9, 1995.CrossRefGoogle ScholarPubMed
Blake, KJ, Baral, P, Voisin, T, Lubkin, A, Pinho-Ribeiro, FA, Adams, KL, Roberson, DP, Ma, YC, Otto, M, Woolf, CJ, Torres, VJ and Chiu, IM (2018) Staphylococcus aureus produces pain through pore-forming toxins and neuronal TRPV1 that is silenced by QX-314. Nature Communications 9, 37.CrossRefGoogle ScholarPubMed
Boonen, B, Alpizar, YA, Meseguer, VM and Talavera, K (2018) TRP channels as sensors of bacterial endotoxins. Toxins 10, 326.CrossRefGoogle ScholarPubMed
Brandon-Mong, G-J, Shaw, GT-W, Chen, W-H, Chen, CC and Wang, D (2020) A network approach to investigating the key microbes and stability of gut microbial communities in a mouse neuropathic pain model. BMC Microbiology 20, 295.CrossRefGoogle Scholar
Bráz, JM, Sharif-Naeini, R, Vogt, D, Kriegstein, A, Alvarez-Buylla, A, Rubenstein, JL and Basbaum, AI (2012) Forebrain GABAergic neuron precursors integrate into adult spinal cord and reduce injury-induced neuropathic pain. Neuron 74, 663675.CrossRefGoogle ScholarPubMed
Carabotti, M, Scirocco, A, Maselli, MA and Severi, C (2015) The gut–brain axis: Interactions between enteric microbiota, central and enteric nervous systems. Annals of Gastroenterology 28, 203209.Google ScholarPubMed
Castelli, V, Palumbo, P, d’Angelo, M, Moorthy, NK, Antonosante, A, Catanesi, M, Lombardi, F, Iannotta, D, Cinque, B, Benedetti, E, Ippoliti, R, Cifone, MG and Cimini, A (2018) Probiotic DSF counteracts chemotherapy induced neuropathic pain. Oncotarget 9, 2799828008.CrossRefGoogle ScholarPubMed
Chen, P, Wang, C, Ren, YN, Ye, ZJ, Jiang, C and Wu, ZB (2021) Alterations in the gut microbiota and metabolite profiles in the context of neuropathic pain. Molecular Brain 14, 50.CrossRefGoogle ScholarPubMed
Cheng, XL, Liu, HQ, Wang, Q, Huo, JG, Wang, XN and Cao, P (2015) Chemotherapy-induced peripheral neurotoxicity and complementary and alternative medicines: Progress and perspective. Frontiers in Pharmacology 6, 234.CrossRefGoogle ScholarPubMed
Chiu, IM (2018) Infection, pain, and itch. Neuroscience Bulletin 34, 109119.CrossRefGoogle ScholarPubMed
Chiu, IM, Heesters, BA, Ghasemlou, N, von Hehn, CA, Zhao, F, Tran, J, Wainger, B, Strominger, A, Muralidharan, S, Horswill, AR, Wardenburg, JB, Hwang, SW, Carroll, MC and Woolf, CJ (2013) Bacteria activate sensory neurons that modulate pain and inflammation. Nature 501, 5257.CrossRefGoogle ScholarPubMed
Cohen, SP and Mao, J (2014) Neuropathic pain: Mechanisms and their clinical implications. BMJ 348, f7656.CrossRefGoogle ScholarPubMed
Costigan, M, Moss, A, Latremoliere, A, Johnston, C, Verma-Gandhu, M, Herbert, TA, Barrett, L, Brenner, GJ, Vardeh, D, Woolf, CJ and Fitzgerald, M (2009) T-cell infiltration and signaling in the adult dorsal spinal cord is a major contributor to neuropathic pain-like hypersensitivity. Journal of Neuroscience 29, 1441514422.CrossRefGoogle Scholar
Costigan, M, Scholz, J and Woolf, CJ (2009) Neuropathic pain: A maladaptive response of the nervous system to damage. Annual Review of Neuroscience 32, 132.CrossRefGoogle ScholarPubMed
Cryan, JF, O’Riordan, KJ, Cowan, CS, Sandhu, KV, Bastiaanssen, TFS, Boehme, M, Codagnone, MG, Cussotto, S, Fulling, C, Golubeva, AV, Guzzetta, KE, Jaggar, M, Long-Smith, CM, Lyte, JM, Martin, JA, Molinero-Perez, A, Moloney, G, Morelli, E, Morillas, E, O’Connor, R, Cruz-Pereira, JS, Peterson, VL, Rea, K, Ritz, NL, Sherwin, E, Spichak, S, Teichman, EM, van de Wouw, M, Ventura-Silva, AP, Wallace-Fitzsimons, SE, Hyland, N, Clarke, G and Dinan, TG (2019) The microbiota–gut–brain axis. Physiological Reviews 99, 18772013.CrossRefGoogle ScholarPubMed
Cui, Y, Miao, K, Niyaphorn, S and Qu, X (2020) Production of gamma-aminobutyric acid from lactic acid bacteria: A systematic review. International Journal of Molecular Sciences 21, 995.CrossRefGoogle ScholarPubMed
Cuozzo, M, Castelli, V, Avagliano, C, Cimini, A, d’Angelo, M, Cristiano, C and Russo, R (2021) Effects of chronic oral probiotic treatment in paclitaxel-induced neuropathic pain. Biomedicines 9, 346.CrossRefGoogle ScholarPubMed
Dalile, B, van Oudenhove, L, Vervliet, B and Verbeke, K (2019) The role of short-chain fatty acids in microbiota–gut–brain communication. Nature Reviews Gastroenterology & Hepatology 16, 461478.CrossRefGoogle ScholarPubMed
Defaye, M, Gervason, S, Altier, C, Berthon, JY, Ardid, D, Filaire, E and Carvalho, FA (2020) Microbiota: A novel regulator of pain. Journal of Neural Transmission 127, 445465.CrossRefGoogle ScholarPubMed
Ding, W, You, Z, Chen, Q, Yang, L, Doheny, J, Zhou, X, Li, N, Wang, S, Hu, K, Chen, L, Xia, S, Wu, X, Wang, C, Zhang, C, Chen, L, Ritchie, C, Huang, P, Mao, J and Shen, S (2021) Gut microbiota influences neuropathic pain through modulating proinflammatory and anti-inflammatory T cells. Anesthesia & Analgesia 132, 11461155.CrossRefGoogle ScholarPubMed
Ellis, RJ, Heaton, RK, Gianella, S, Rahman, G and Knight, R (2022) Reduced gut microbiome diversity in people with HIV who have distal neuropathic pain. The Journal of Pain 23, 318325.CrossRefGoogle ScholarPubMed
Feng, Q, Chen, W-D and Wang, Y-D (2018) Gut microbiota: An integral moderator in health and disease. Frontiers in Microbiology 9, 151.CrossRefGoogle ScholarPubMed
Fregnan, F, Muratori, L, Simões, AR, Giacobini-Robecchi, MG and Raimondo, S (2012) Role of inflammatory cytokines in peripheral nerve injury. Neural Regeneration Research 7, 22592266.Google ScholarPubMed
Galley, JD, Nelson, MC, Yu, Z, Dowd, SE, Walter, J, Kumar, PS, Lyte, M and Bailey, MT (2014) Exposure to a social stressor disrupts the community structure of the colonic mucosa-associated microbiota. BMC Microbiology 14, 113.CrossRefGoogle ScholarPubMed
Gareau, MG, Silva, MA and Perdue, MH (2008) Pathophysiological mechanisms of stress-induced intestina damage. Current Molecular Medicine 8, 274281.CrossRefGoogle Scholar
Ge, L, Yang, M, Yang, N-N, Yin, XX and Song, WG (2017) Molecular hydrogen: A preventive and therapeutic medical gas for various diseases. Oncotarget 8, 102653102673.CrossRefGoogle ScholarPubMed
Gwak, YS and Luo, ZD (2022) Chapter 13 – Spinal GABA mechanism in neuropathic pain after spinal cord injury. In Sang, CN and Hulsebosch, CE (eds), Spinal Cord Injury Pain. Cambridge, MA: Academic Press, pp. 275296.CrossRefGoogle Scholar
Gwak, YS, Tan, HY, Nam, TS, Paik, KS, Hulsebosch, CE and Leem, JW (2006) Activation of spinal GABA receptors attenuates chronic central neuropathic pain after spinal cord injury. Journal of Neurotrauma 23, 11111124.CrossRefGoogle ScholarPubMed
Harrison, OJ and Powrie, FM (2013) Regulatory T cells and immune tolerance in the intestine. Cold Spring Harbor Perspectives in Biology 5, a018341.CrossRefGoogle ScholarPubMed
Havenaar, R (2011) Intestinal health functions of colonic microbial metabolites: A review. Beneficial Microbes 2, 103114.CrossRefGoogle ScholarPubMed
Hooijmans, CR, Rovers, MM, de Vries, RBM, Leenaars, M, Ritskes-Hoitinga, M and Langendam, MW (2014) SYRCLE’s risk of bias tool for animal studies. BMC Medical Research Methodology 14, 43.CrossRefGoogle ScholarPubMed
Hoshino, O (2012) Regulation of ambient GABA levels by neuron-glia signaling for reliable perception of multisensory events. Neural Computation 24, 29642993.CrossRefGoogle ScholarPubMed
Hoyles, L, Snelling, T, Umlai, U-K, Nicholson, JK, Carding, SR, Glen, RC and McArthur, S (2018) Microbiome-host systems interactions: Protective effects of propionate upon the blood-brain barrier. Microbiome 6, 55.CrossRefGoogle ScholarPubMed
Huuskonen, J, Suuronen, T, Nuutinen, T, Kyrylenko, S and Salminen, A (2004) Regulation of microglial inflammatory response by sodium butyrate and short-chain fatty acids. British Journal of Pharmacology 141, 874880.CrossRefGoogle ScholarPubMed
Jalanka-Tuovinen, J, Salonen, A, Nikkilä, J, Immonen, O, Kekkonen, R, Lahti, L, Palva, A and de Vos, WM (2011) Intestinal microbiota in healthy adults: Temporal analysis reveals individual and common core and relation to intestinal symptoms. PloS One 6, e23035.CrossRefGoogle ScholarPubMed
Li, X-J, You, X-Y, Wang, C-Y, Li, XL, Sheng, YY, Zhuang, PW and Zhang, YJ (2020) Bidirectional brain-gut-microbiota axis in increased intestinal permeability induced by central nervous system injury. CNS Neuroscience & Therapeutics 26, 783790.CrossRefGoogle ScholarPubMed
Lian, N, Shen, M, Zhang, K, Pan, J, Jiang, Y, Yu, Y and Yu, Y (2021) Drinking hydrogen-rich water alleviates chemotherapy-induced neuropathic pain through the regulation of gut microbiota. Journal of Pain Research 14, 681691.CrossRefGoogle ScholarPubMed
Lin, B, Wang, Y, Zhang, P, Yuan, Y, Zhang, Y and Chen, G (2020) Gut microbiota regulates neuropathic pain: Potential mechanisms and therapeutic strategy. The Journal of Headache and Pain 21, 103.CrossRefGoogle ScholarPubMed
Logan, RM, Gibson, RJ, Bowen, JM, Stringer, AM, Sonis, ST and Keefe, DMK (2008) Characterisation of mucosal changes in the alimentary tract following administration of irinotecan: Implications for the pathobiology of mucositis. Cancer Chemotherapy and Pharmacology 62, 3341.CrossRefGoogle ScholarPubMed
Ma, Q, Xing, C, Long, W, Wang, HY, Liu, Q and Wang, RF (2019) Impact of microbiota on central nervous system and neurological diseases: The gut–brain axis. Journal of Neuroinflammation 16, 53.CrossRefGoogle ScholarPubMed
Markowiak-Kopeć, P and Śliżewska, K (2020) The effect of probiotics on the production of short-chain fatty acids by human intestinal microbiome. Nutrients 12, 1107.CrossRefGoogle ScholarPubMed
Mayer, EA, Savidge, T and Shulman, RJ (2014) Brain–gut microbiome interactions and functional bowel disorders. Gastroenterology 146, 15001512.CrossRefGoogle ScholarPubMed
Mazidi, M, Rezaie, P, Kengne, AP, Mobarhan, MG and Ferns, GA (2016) Gut microbiome and metabolic syndrome. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 10, S150S157.CrossRefGoogle ScholarPubMed
Metzdorf, J and Tönges, L (2021) Short-chain fatty acids in the context of Parkinson’s disease. Neural Regeneration Research 16, 20152016.Google ScholarPubMed
Michalak, A, Mosińska, P and Fichna, J (2016) Polyunsaturated fatty acids and their derivatives: Therapeutic value for inflammatory, functional gastrointestinal disorders, and colorectal cancer. Frontiers in Pharmacology 7, 459.CrossRefGoogle ScholarPubMed
Miller, RJ, Jung, H, Bhangoo, SK and White, FA (2009) Cytokine and chemokine regulation of sensory neuron function. Handbook of Experimental Pharmacology 194, 417449.CrossRefGoogle Scholar
Mirzaei, R, Bouzari, B, Hosseini-Fard, SR, Mazaheri, M, Ahmadyousefi, Y, Abdi, M, Jalalifar, S, Karimitabar, Z, Teimoori, A, Keyvani, H, Zamani, F, Yousefimashouf, R and Karampoor, S (2021) Role of microbiota-derived short-chain fatty acids in nervous system disorders. Biomedicine & Pharmacotherapy 139, 111661.CrossRefGoogle ScholarPubMed
Ng, QX, Soh, AYS, Loke, W, Lim, DY and Yeo, WS (2018) The role of inflammation in irritable bowel syndrome (IBS). Journal of Inflammation Research 11, 345349.CrossRefGoogle Scholar
Park, J and Kim, CH (2021) Regulation of common neurological disorders by gut microbial metabolites. Experimental & Molecular Medicine 53, 18211833.CrossRefGoogle ScholarPubMed
Patel, R and Dickenson, AH (2016) Mechanisms of the gabapentinoids and α2δ‐1 calcium channel subunit in neuropathic pain. Pharmacology Research & Perspectives 4, e00205.CrossRefGoogle Scholar
Peng, J, Xiao, X, Hu, M and Zhang, X (2018) Interaction between gut microbiome and cardiovascular disease. Life Sciences 214, 153157.CrossRefGoogle ScholarPubMed
Ramakrishna, C, Corleto, J, Ruegger, PM, Logan, GD, Peacock, BB, Mendonca, S, Yamaki, S, Adamson, T, Ermel, R, McKemy, D, Borneman, J and Cantin, EM (2019) Dominant role of the gut microbiota in chemotherapy induced neuropathic pain. Scientific Reports 9, 20324.CrossRefGoogle ScholarPubMed
Ray, S, Narayanan, A, Giske, CG, Neogi, U, Sönnerborg, A, Nowak, P (2021) Altered gut microbiome under antiretroviral therapy: Impact of efavirenz and zidovudine. ACS Infectious Diseases 7, 11041115.CrossRefGoogle ScholarPubMed
Rhee, SH, Pothoulakis, C and Mayer, EA (2009) Principles and clinical implications of the brain-gut-enteric microbiota axis. Nature Reviews. Gastroenterology & Hepatology 6, 306314.CrossRefGoogle ScholarPubMed
Shen, S, Lim, G, You, Z, Ding, W, Huang, P, Ran, C, Doheny, J, Caravan, P, Tate, S, Hu, K, Kim, H, McCabe, M, Huang, B, Xie, Z, Kwon, D, Chen, L and Mao, J (2017) Gut microbiota is critical for the induction of chemotherapy-induced pain. Nature Neuroscience 20, 12131216.CrossRefGoogle ScholarPubMed
Sommer, C, Schafers, M, Marziniak, M and Toyka, KV (2001) Etanercept reduces hyperalgesia in experimental painful neuropathy. Journal of the Peripheral Nervous System 6, 6772.CrossRefGoogle ScholarPubMed
Sudo, N, Chida, Y, Aiba, Y, Sonoda, J, Oyama, N, Yu, XN, Kubo, C, Koga, Y (2004) Postnatal microbial colonization programs the hypothalamic–pituitary–adrenal system for stress response in mice. The Journal of Physiology 558, 263275.CrossRefGoogle ScholarPubMed
Totsch, SK and Sorge, RE (2017) Immune system involvement in specific pain conditions. Molecular Pain 13, 1744806917724559.CrossRefGoogle ScholarPubMed
Tricco, AC, Lillie, E, Zarin, W, O’Brien, KK, Colquhoun, H, Levac, D, Moher, D, Peters, MDJ, Horsley, T, Weeks, L, Hempel, S, Akl, EA, Chang, C, McGowan, J, Stewart, L, Hartling, L, Aldcroft, A, Wilson, MG, Garritty, C, Lewin, S, Godfrey, CM, Macdonald, MT, Langlois, EV, Soares-Weiser, K, Moriarty, J, Clifford, T, Tunçalp, Ö and Straus, SE (2018) PRISMA extension for scoping reviews (PRISMA-ScR): Checklist and explanation. Annals of Internal Medicine 169, 467473.CrossRefGoogle ScholarPubMed
Wang, Y and Kasper, LH (2014) The role of microbiome in central nervous system disorders. Brain, Behavior, and Immunity 38, 112.CrossRefGoogle ScholarPubMed
Wardill, HR, Gibson, RJ, van Sebille, YZA, Secombe, KR, Coller, JK, White, IA, Manavis, J, Hutchinson, MR, Staikopoulos, V, Logan, RM and Bowen, JM (2016) Irinotecan-induced gastrointestinal dysfunction and pain are mediated by common TLR4-dependent mechanisms. Molecular Cancer Therapeutics 15, 13761386.CrossRefGoogle ScholarPubMed
Wardill, HR, Van Sebille, YZ, Mander, KA, Gibson, RJ, Logan, RM, Bowen, JM and Sonis, ST (2015) Toll-like receptor 4 signaling: A common biological mechanism of regimen-related toxicities: An emerging hypothesis for neuropathy and gastrointestinal toxicity. Cancer Treatment Reviews 41, 122128.CrossRefGoogle ScholarPubMed
Yang, C, Fang, X, Zhan, G, Huang, N, Li, S, Bi, J, Jiang, R, Yang, L, Miao, L, Zhu, B, Luo, A and Hashimoto, K (2019) Key role of gut microbiota in anhedonia-like phenotype in rodents with neuropathic pain. Translational Psychiatry 9, 57.CrossRefGoogle ScholarPubMed
Zhou, F, Wang, X, Han, B, Tang, X, Liu, R, Ji, Q, Zhou, Z and Zhang, L (2021) Short-chain fatty acids contribute to neuropathic pain via regulating microglia activation and polarization. Molecular Pain 17, 1744806921996520.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Employed search terms in the Databases

Figure 1

Table 2. Major characteristics and results of the included studies

Figure 2

Table 3. Risk of bias appraisal of the reviewed studies

Figure 3

Figure 1. PRISMA flow chart of the literature search and study selection.

Figure 4

Figure 2. schematic diagram depicting the postulated pathways of gut-brain connectivity leading to neuropathic pain.