| Literature DB >> 35003127 |
Bin Yuan1, Xiao-Jie Lu1,2, Qi Wu3.
Abstract
Acute central nervous system (CNS) injuries, including stroke, traumatic brain injury (TBI), and spinal cord injury (SCI), are the common causes of death or lifelong disabilities. Research into the role of the gut microbiota in modulating CNS function has been rapidly increasing in the past few decades, particularly in animal models. Growing preclinical and clinical evidence suggests that gut microbiota is involved in the modulation of multiple cellular and molecular mechanisms fundamental to the progression of acute CNS injury-induced pathophysiological processes. The altered composition of gut microbiota after acute CNS injury damages the equilibrium of the bidirectional gut-brain axis, aggravating secondary brain injury, cognitive impairments, and motor dysfunctions, which leads to poor prognosis by triggering pro-inflammatory responses in both peripheral circulation and CNS. This review summarizes the studies concerning gut microbiota and acute CNS injuries. Experimental models identify a bidirectional communication between the gut and CNS in post-injury gut dysbiosis, intestinal lymphatic tissue-mediated neuroinflammation, and bacterial-metabolite-associated neurotransmission. Additionally, fecal microbiota transplantation, probiotics, and prebiotics manipulating the gut microbiota can be used as effective therapeutic agents to alleviate secondary brain injury and facilitate functional outcomes. The role of gut microbiota in acute CNS injury would be an exciting frontier in clinical and experimental medicine.Entities:
Keywords: gut microbiota; gut-brain axis; spinal cord injury; stroke; traumatic brain injury
Mesh:
Year: 2021 PMID: 35003127 PMCID: PMC8740048 DOI: 10.3389/fimmu.2021.800796
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Figure 1The bidirectional communication pathways between the gut microbiota and brain. The gut microbiota could bi-directionally communicate with the brain through multiple pathways, including neuronal and non-neuronal. The brain regulates the gut microbiota via neuronal pathways (e.g., autonomic nervous system and enteric nervous system), hypothalamic-pituitary-adrenal axis, etc. Neuronal pathways release neurotransmitters to modulate gut motility, gut barrier permeability, fluid maintenance, resident immune cell activation, and gut microbiota composition. HPA also releases cortisol to regulate gut homeostasis. Additionally, gut microbiota affects the development and pathophysiology of the brain by immunological, endocrine, metabolic, and neural pathways. Microbiomes and their metabolites could modulate the brain and behavior by affecting intestinal epithelial cells to alter gut barrier function, enteroendocrine cells to secret hormones, as well as dendritic cells and macrophage, to regulate immune and microglia activation. Gut microbiota can modulate the CD4+ T cells differentiation through epithelial cells or DC cells-mediated signals. ① Ectopic colonizing microbes, such as Klebsiella, can invade intestinal epithelium and stimulate DC cells to secrete proinflammatory cytokines, including IL-6 and TNF, which drive the polarization of Th1cells. ② SFB promotes Th17 polarization via epithelial cell-mediated CD11c+ DC cells activation. Epithelial cells release serum amyloid A to activate CD11c+ DC cells, leading to the TGF-β, IL-12, and IL-23 secretion. ③ Resident microbes, such as Bacteroides, modulate Treg cells generation by TGF-β and IL-10, which are secreted by CD103+ DC cells. CD103+ DC cells also can release IL-17 to promote γδT cell polarization. ④ Microbiota-associated Th2 cell polarization is correlated with parasite colonization such as Heligmosomoides, mediated by tuft cells secreting IL-25 to DC cells. Then activated DC cells release IL-4 and TGF-β to drive Th2 polarization. DC, dendritic cell; IL, interleukin; TNF, tumor necrosis factor; Th, T helper; TGF-β, transforming growth factor-β; SFB, segmented filamentous bacteria; SCFA, short-chain fatty acid; Treg, regulatory T cell.
A summary of preclinical and human studies on the gut microbiota and ischemic stroke.
| Subjects | Methods | Key findings | |
|---|---|---|---|
| Yin J, et al. (2015) ( | 322 patients vs. 231 controls | 16S rRNA (V4) sequencing & LC-MS |
Patients with stroke and transient ischemic attack presented the gut microbiota dysbiosis, which increased Enterobacter, Megasphaera, Oscillibacter, and Desulfovibrio and decreased Bacteroides, Prevotella, and Faecalibacterium. Patients with stroke and the transient ischemic attack had lower trimethylamine N-oxide (TMAO) compared with asymptomatic patients. |
| Stanley D, et al. (2016) ( | 36 patients vs. 9 hospital-based controls vs. 10 healthy controls; | 16S rRNA sequencing |
Common commensal bacteria resided in the intestinal tracts contributed to the post-stroke infections in patients with ischemic stroke. This was also observed in a mouse model of ischemic stroke. In the experimental stroke, post-stroke infection was only seen in specific pathogen-free (SPF) mice, not germ-free (GF) mice. |
| Nie J, et al. (2018) ( | 622 patients vs. 622 controls | LC-MS |
The increment of serum TMAO level increased the risk of the first stroke. Patients with higher TMAO levels (≥1.79 μmol/L) had a significantly higher risk of the first stroke. |
| Zeng X, et al. (2019) ( | 141 patients | 16S rRNA sequencing & GS-MS |
Compared with the low-risk group, opportunistic pathogens (e.g., Enterobacteriaceae and Veillonellaceae) and lactate-producing bacteria (e.g., Bifidobacterium and Lactobacillus) were increased, as well as butyrate-producing bacteria (e.g., Lachnospiraceae and Ruminococcaceae) were decreased in the high-risk group. The fecal butyrate concentrations in the high-risk group were lower than those in the low-risk group. Moreover, the concentrations of other short-chain fatty acids (SCFAs) (e.g., acetate, propionate, isobutyrate, isovalerate, and valerate) in the feces were significantly different between the three groups. |
| Haak BW, et al. (2020) ( | 349 patients vs. 51 controls | 16S rRNA (V3-V4) sequencing & LC-MS |
The TMAO level in stroke patients was two-fold lower than that of the healthy controls. Lower abundance of butyrate-producing bacteria within 24h of hospital admission was an independent predictor of enhanced risk of post-stroke infection, but not of mortality or functional patient outcome. |
| Xu DJ, et al. (2021) ( | 61 large artery atherosclerotic (LAA) stroke vs. 20 cardioembolic (CE) stroke vs. 51 asymptomatic controls | 16S rRNA (V4-V5) sequencing & LC-MS |
The TMAO levels in the plasma of patients with LAA and CE strokes were significantly higher than those in controls. Moreover, the plasma TMAO level in the LAA stroke patients was positively associated with the carotid plaque area. The composition and the function of gut microbiota in the patients with LAA stroke were significantly different from those in the asymptomatic controls. In contrast, no significant difference between CE stroke patients and the asymptomatic controls was observed in the present study. |
| Ling Y, et al. (2020) ( | 53 patients with post-stroke cognitive impairment (PSCI) vs. 40 patients with post-stroke non-cognitive impairment (PSNCI) | 16S rRNA (V3-V4) sequencing |
Compared with the patient with PSNCI, the abundance of Proteobacteria was highly increased in the patients with PSCI. The abundances of Clostridia, Clostridiales, Lachnospiraceae, and Lachnospiraceae_other were significantly decreased in the patients with PSCI after adjusting to age. The Kyoto Encyclopedia of Genes and Genomes analysis showed the progressive enriched module for folding, sorting, and degradation (chaperones and folding catalysts) and the significantly decreased modules related to metabolisms of cofactors and vitamins, amino acid, and lipid in patients with PSCI. |
| Xiang L, et al. (2020) ( | 20 patients vs. 16 controls | 16S rRNA (V3) sequencing |
Stroke patients had fewer Firmicutes than controls. Two optimal bacterial species, Lachnospiraceae (OTU_45) and Bacteroides served as markers of lacunar infarction. Two optimal bacterial species, Bilophila and Lachnospiraceae (OTU_338)), served as markers of non-lacunar acute ischemic infarction. Three optimal bacterial species, Pseudomonas, Sphingomonadaceae, and Akkermansia, served as markers of post-ischemic stroke patients with 15 days of treatment. |
| Tan C, et al. (2021) ( | 140 patients vs. 92 controls | 16S rRNA (V4) sequencing & GS-MS |
Patients with acute ischemic stroke are characterized by a lack of SCFAs-producing bacteria (Roseburia, Bacteroides, Lachnospiraceae, Faecalibacterium, Blautia, and Anaerostipes) and an overload of Lactobacillaceae, Akkermansia, Enterobacteriaceae, and Porphyromonadaceae in their feces. The SCFAs levels were negatively related to stroke severity and prognosis. Reduced fecal SCFAs level, especially acetate, was correlated with an increased risk of 3-month unfavorable outcomes. |
| Zhang J, et al. (2021) ( | 351 patients vs. 150 controls | LC-MS |
Patients with an unfavorable outcome had significantly increased plasma TMAO levels on admission. Plasma TMAO levels on admission were an independent predictor of functional outcome and mortality after acute ischemic stroke. |
| Guo Q, et al. (2021) ( | 49 patients vs. 30 controls | 16S rRNA (V3-V4) sequencing |
The acute ischemic stroke patients treated with Tanhuo Decoction had a better outcome than the controls on both clinical outcome and gut microbiota characteristics. Tanhuo Decoction treatment significantly decreased the lipopolysaccharide (LPS)-producing bacteria (Bacteroidaceae and Bacteroides) to reduce LPS biosynthesis. The acute ischemic stroke patients treated with Tanhuo Decoction also exhibited the potential to decrease the biosynthesis of trimethylamine (TMA), the precursor of TMAO, and increase TMA’s degradation. |
| Huang Y, et al. (2021) ( | 76 patients vs. 19 controls | 16S rRNA (V3-V4) sequencing |
Stroke patients had a significantly higher abundance of Enterococcus and lower abundances of Bacteroides, Escherichia-Shigella, and Megamonas. Compared with stroke patients, patients with post-stroke cognitive impairment had a significantly higher proportion of Enterococcus, Bacteroides, and Escherichia-Shigella and a lower content of Faecalibacterium. Patients with the post-stroke affective disorder had a significantly higher proportion of Bacteroides and Escherichia-Shigella and a lower proportion of Enterococcus and Faecalibacterium. |
| Sun T, et al. (2021) ( | 953 patients vs. 953 controls | LC-MS/MS |
Plasma TMAO levels in patients with ischemic stroke were significantly increased. Higher plasma TMAO levels were correlated with increased odds of ischemic stroke. The adjusted odds ratios for ischemic stroke per 1 μmol/L increase of plasma TMAO was 1.05. |
| Xu K, et al. (2021) ( | Cohort 1: 28 patients vs. 28 controls; | 16S rRNA sequencing |
Enriched Enterobacteriaceae was an independent risk factor for acute ischaemic stroke patients in early-stage recovery. MCAO mice showed rapid gut dysbiosis with Enterobacteriaceae blooming, associated with intestinal ischemia and nitrate production. Enterobacteriaceae exacerbates brain infarction by accelerating LPS/toll-like receptor 4(TLR4)-mediated systemic inflammation. Inhibiting Enterobacteriaceae overgrowth by diminishing nitrate generation or inhibiting nitrate respiration alleviates brain infarction. |
| Houlden A, et al. (2016) ( | MCAO mice | 16S rRNA PCR |
The alteration of the caecal microbiota composition following stroke could be mediated by noradrenaline release from the autonomic nervous system, changing caecal mucoprotein production and goblet cell numbers. Specific changes in Peptococcaceae and Prevotellaceae after stroke were correlated with the severity of the injury. |
| Singh V, et al. (2016) ( | MCAO mice | 16S rRNA (V1-V3) sequencing |
Reduced species diversity and bacterial overgrowth of bacteroidetes were associated with intestinal barrier dysfunction and reduced intestinal motility. GF mice recolonized with poststroke gut microbiota exacerbates infarct volume and functional deficits following stroke, mediated by the migration of intestinal pro-inflammatory T cells to the ischemic brain. Fecal microbiota transplantation (FMT) could normalize brain lesion-induced dysbiosis and improve stroke outcomes. |
| Benakis C, et al. (2016) ( | MCAO mice | 16S rRNA (V4-V5) sequencing |
Antibiotic-induced alterations in the gut microbiota reduced brain injury after ischemic stroke. Dysbiosis following ischemic stroke changed intestinal immune homeostasis, leading to an increase in regulatory T(Treg) cells and a reduction in IL-17+ γδ T cells through altered dendritic cell activity. Moreover, dysbiosis blocked the migration of effector T cells from the gut to the leptomeninges. |
| Winek K, et al. (2016) ( | MCAO mice | – |
Microbiota-depleted mice stopped the antibiotic cocktail pretreatment 3 days before surgery significantly decreased survival after MCAO. Microbiota-depleted animals treated by continuous antibiotic treatment or colonized with SPF microbiota before surgery rescued from severe acute colitis. |
| Spychala MS, et al. (2018) ( | MCAO mice | 16S rRNA (V4-V5) sequencing |
The Firmicutes to Bacteroidetes ratio in aged mice increased ∼9-fold compared to young. The gut microbiota in the young manipulated by fecal from aged mice increased mortality, decreased behavioral performance, and increased cytokine levels following MCAO, altering the microbiota in the aged by fecal gavage to resemble that of young increased survival and improved recovery following MCAO. |
| Singh V, et al. (2018) ( | MCAO mice | 16S rRNA (V1-V3) sequencing |
Bacterial colonization reduces stroke volumes by increasing cerebral expression of cytokines and microglia/macrophage cell counts. The gut microbiota-mediated neuroprotection was absent in lymphocyte-deficient mice. |
| Benakis C, et al. (2020) ( | MCAO mice | 16S rRNA (V4) sequencing |
Single antibiotic treatment with either ampicillin or vancomycin, but not neomycin, significantly reduced the infarct volume and improved motor sensory function 3 days after stroke. Bacteroidetes S24.7 and the enzymatic pathway for aromatic metabolism were correlated with infarct size. The gut microbiota composition in the ampicillin-treated mice was associated with reduced gut inflammation, a long-term favorable outcome, and a reduction of brain tissue loss. Regulation of SCFAs and tryptophan pathways induced by ampicillin could be predictive of stroke outcomes. |
| Sadler R, et al. (2020) ( | MCAO and photothrombotic (PT) mice | GC-MS |
SCFAs supplementation in the drinking water significantly improved recovery of limb motor function by altering contralesional cortex connectivity, which is related to SCFAs-dependent changes in spine and synapse densities. A substantial impact of SCFAs on microglial activation contributes to the structural and functional remodeling, mediated by the recruitment of T cells to the infarcted brain. |
| Lee J, et al. (2020) ( | MCAO mice | 16S rRNA (V4) sequencing & LC-MS |
Aged stroke mice transplanted the young fecal improved post-stroke neurological deficits and inflammation, which correlated with higher SCFAs levels and SCFAs-producers such as Bifidobacterium longum, Clostridium symbiosum, Faecalibacterium prausnitzii, and Lactobacillus fermentum. |
| Jeon J, et al. (2020) ( | MCAO pig | 16S rRNA (V3-V4) sequencing |
Compared with pre-stroke populations, the abundance of the Proteobacteria was significantly increased, while the abundances of Firmicutes and lactic acid bacteria Lactobacillus decreased at 3 days poststroke. The gut microbial pattern returned to similar values as prestrike at 5 days poststroke. |
| Benakis C, et al. (2020) ( | MCAO mice | 16S rRNA (V4) sequencing |
Mice treated with a cocktail of antibiotics significantly reduced infarct volume in the acute phase of stroke. Single antibiotic treatment with either ampicillin or vancomycin, but not neomycin, significantly reduced infarct volume and improved neurological function 3 days after stroke. Bacteroidetes S24.7 and the enzymatic pathway for aromatic metabolism were associated with infarct size after stroke. The gut microbiota signature in the ampicillin-treated mice was correlated with reduced intestinal inflammation, long-term favorable outcome and was predictive of SCFAs and tryptophan pathways. |
| Huang Q, et al. (2021) ( | MCAO rat | 16S rRNA (V3-V4) sequencing & GC-MS |
Compared with non-hemorrhagic transformation (HT) rats, the relative abundances of Proteobacteria and Actinobacteria were enriched in HT rats. Total SCFAs levels, especially butyrate and valeric acid, were significantly decreased in the cecal contents of HT rats. The rats colonized with gut microbiota from HT rats showed increased susceptibility to HT. |
| Zhang P, et al. (2021) ( | MCAO mice | 16S rRNA sequencing & HPLC-MS |
Atorvastatin significantly ameliorated neurological defects and reduced microglia-mediated neuroinflammation after experimental stroke. Atorvastatin increased the abundance of Firmicutes and Lactobacillus, decreased Bacteroidetes abundance, increased fecal butyrate level, promoted intestinal barrier function by elevating the expression of claudin-1, occludin and mucoprotein 2, as well as regulated intestinal immune function. Transplantation of atorvastatin-treated mice fecal microbiota alleviated neuroinflammation in MCAO mice. |
| Huang JT, et al. (2021) ( | MCAO mice | 16S rRNA sequencing |
The transplantation of gut microbiota collected from calorie-restriction-treated mice was eligible to have better long-term rehabilitation. Bifidobacterium was enriched in calorie-restriction mice. Bifidobacterium administration improved the long-term rehabilitation of stroke mice |
| Zhu W, et al. (2021) ( | MCAO mice | 16S rRNA (V4) sequencing & LC-MS |
The human fecal microbial transplantation study showed TMAO production and stroke severity are transmissible traits. TMAO and choline supplementation exacerbated infarct size and functional impairment. Gut microbial CutC increased host TMAO levels and aggravated cerebral infarct size and functional deficits after stroke. |
| Wu W, et al. (2021) ( | MACO rat | 16S rRNA (V3-V4) sequencing & LC-MS |
The abundance of the Firmicutes phylum was decreased, whereas Proteobacteria and Deferribacteres were increased after stroke. Ruminococcus_sp_15975 might serve as a biomarker for the stroke. Many metabolites, such as L-leucine, L-valine, and L-phenylalanine, differed between the stroke and sham groups, mainly involved in mineral absorption and cholinergic synapse pathways. |
| Yuan Q, et al. (2021) ( | MCAO mice | 16S rRNA sequencing & GC-MS |
Lactulose supplementation significantly improved the functional outcome after stroke by downregulating inflammatory reaction and increased anti-inflammatory factors in the brain and gut. Lactulose supplementation improved intestinal barrier injury and restored gut microbiota dysbiosis after stroke. |
16S rRNA, 16S ribosomal RNA.
PCR, polymerase chain reaction.
LC-MS, liquid chromatography-mass spectrometry.
GC-MS, gas chromatography-mass spectrometry.
HPLC-MS, high-performance liquid chromatography-mass spectrometry.
A summary of preclinical and human studies on the gut microbiota and traumatic brain injury.
| Subjects | Methods | Key findings | |
|---|---|---|---|
| Mahajan C, et al. (2021) ( | 101 patients | – |
All organisms belonged to the Proteobacteria phylum, especially Enterobacteriaceae forming the largest group after traumatic brain injury (TBI). TBI is associated with widespread colonization with Proteobacteria as early as 48 hours after injury. |
| Hou Y, et al. (2021) ( | 24 patients vs. 10 controls; surgical brain injury (SBI) rat | 16S rRNA sequencing & HPLC-MS |
The abundances of Enterococcus, Parabacteroides, Akkermansia, and Lachnoclostridium were significantly increased, whereas the relative abundances of Bifidobacterium and Faecalibacterium were decreased in the patients with TBI. Oral administration of brain protein combined with probiotics alleviated inflammatory gut damage by affecting tryptophan-related pathways. |
| Treangen TJ, et al. (2018) ( | controlled cortical impact (CCI) mice | 16S rRNA (V3-V4) sequencing |
At a high-level view, the abundances of Marvinbryantia and Clostridiales were significantly changed after TBI. Lactobacillus gasseri, Ruminococcus flavefaciens, and Eubacterium ventriosum were decreased at the species level, while Eubacterium sulci and Marvinbryantia formatexigens and were increased after TBI. |
| Li H, et al. (2018) ( | weight-drop impact (WDI) mice | – |
Clostridium butyricum treatment improved neurological deficits, brain edema, neurodegeneration, and blood-brain barrier impairment. Clostridium butyricum treatment increased tight junction proteins, p-Akt, and Bcl-2 and decreased expression of Bax. Mice treated by Clostridium butyricum showed an increased intestinal Glucagon-like peptide 1(GLP-1) secretion and upregulated the expression of cerebral GLP-1 receptor. |
| Simon DW, et al. (2020) ( | CCI mice | 16S rRNA (V4) sequencing |
Mice receiving pretreatment of ampicillin, metronidazole, neomycin, and vancomycin(AMNV) before surgery increased CA1’s density of hippocampal neuronal and reduced Iba-1 positive cells at 72 h after TBI. Mice pretreated by AMNV alleviated associative learning deficit and decreased lesion volume after TBI. |
| Angoa-Pérez M, et al. (2020) ( | WDI mice | 16S rRNA (V4) sequencing |
An early increase in microglial activation persisted from 0-day to 90-day post-injury, compounded by substantial increases in astrocyte reactivity and phosphorylated tau. Few differences in the microbial community were observed in mice exposed to repetitive, mild TBI (rmTBI). The progressive emergence of white matter damage and cognitive deficits following rmTBI was not associated with the altered gut microbiota. |
| Opeyemi OM, et al. (2021) ( | CCI mice model | 16S rRNA (V4) sequencing & HPLC-MS |
Bacteria from Lachnospiraceae, Ruminococcaceae, and Bacteroidaceae families were depleted, while bacteria from the Verrucomicrobiaceae family were enriched. Fecal SCFAs such as acetate were reduced at 7 days and 28 days following TBI; SCFAs administration improved spatial learning after TBI. |
| Du D, et al. (2021) ( | CCI rat | 16S rRNA (V3-V4) sequencing & HPLC-MS |
TBI induced significant changes in the gut microbiome, including the alpha- and beta-bacterial diversity and the microbiome composition at 8 days after TBI. Fecal microbiota transplantation (FMT) could rescue these changes and relieve neurological deficits after TBI. Metabolomics results showed that the level of trimethylamine (TMA) in feces and the level of trimethylamine N-oxide (TMAO) in the ipsilateral brain and serum was increased after TBI. At the same time, FMT decreased TMA levels in the feces and TMAO levels in the ipsilateral brain and serum. FMT can restore gut microbiota dysbiosis and relieve neurological deficits, possibly through the TMA-TMAO-methionine sulfoxide reductase A (MsrA) signaling pathway after TBI. |
| You W, et al. (2021) ( | lateral fluid percussion injury mice model | 16S rRNA (V3-V4) sequencing & HPLC-MS |
The diversity of gut microbiota experienced a time-dependent change from 1 h to 7 days post-TBI. The decreased levels of bile acids, especially secondary bile acids, were related to intestinal inflammation after TBI. Staphylococcus and Lachnospiraceae may contribute to the bile acid metabolic changes. |
| Celorrio M, et al. (2021) ( | CCI mice | PCR |
Antibiotic-induced gut microbial dysbiosis significantly worsened neuronal loss after TBI. Antibiotic exposure for 1 week after TBI decreased T lymphocyte infiltration, increased microglial pro-inflammatory markers, and reduced cortical infiltration of Ly6Chigh monocytes. Gut microbiota dysbiosis was associated with increased hippocampal neuronal loss and fear memory response 3 months after TBI. |
16S rRNA, 16S ribosomal RNA.
PCR, polymerase chain reaction.
HPLC-MS, high-performance liquid chromatography-mass spectrometry.
A summary of preclinical and human studies on the gut microbiota and spinal cord injury.
| Subjects | Methods | Key findings | |
|---|---|---|---|
| Gungor B, et al. (2016) ( | 30 patients vs. 10 controls | 16S rRNA (V4) sequencing |
Marvinbryantia was significantly lower in the upper motor neuron (UMN) bowel dysfunction group than in the lower motor neuron (LMN) group after spinal cord injury(SCI). Compared with healthy groups, Roseburia, Pseudobutyrivibrio, and Megamonas were significantly lower in the LMN bowel dysfunction group; the abundances of Pseudobutyrivibrio, Dialister, and Megamonas genera were significantly lower in the UMN bowel dysfunction group. |
| Zhang C, et al. (2018) ( | 43 patients vs. 23 controls | 16S rRNA (V3-V4) sequencing |
SCI contributed to the increased abundance of Veillonellaceae and Prevotellaceae and the decreased abundance of Bacteroidaceae and Bacteroides. The abundance of Bacteroidaceae and Bacteroides in the quadriplegia group and Acidaminococcaceae, Blautia, Porphyromonadaceae, and Lachnoclostridium in the paraplegia group were significantly higher compared to the healthy male group. Following SCI, the gut microbiota composition was significantly associated with serum biomarkers (glucose, high-density lipoprotein, creatinine, and C-reactive protein), neurogenic bowel dysfunction defecation time, and course. |
| Lin R, et al. (2020) ( | 23 patients vs. 23 controls | 16S rRNA (V3-V4) sequencing |
There were no significant differences in the α-diversity indices of the fecal microbiota between the SCI and control groups. The abundances of Parabacteroides, Alistipes, Phascolarctobacterium, Christensenella, Barnesiella, Holdemania, Eggerthella, Intestinimonas, Gordonibacter, Bilophila, Flavonifractor, and Coprobacillus were higher in the patients with SCI than those in the healthy control. |
| Li J, et al. (2020) ( | 32 patients (7 acute SCI and 25 long-standing SCI) vs. 25controls | 16S rRNA (V4) sequencing |
Compared with the controls, SCI patients had higher abundances of the Erysipelotrichaceae, Acidaminococcaceae, Rikenellaceae, Lachnospiraceae, Rikenellaceae, the Ruminococcaceae families. The long-standing SCI patients had higher abundances of Lachnospiraceae and Eggerthellaceae, and lower abundances of Campylobacteraceae than the controls. The acute SCI has a higher abundance of the Desulfovibrionaceae family than the controls. |
| Bazzocchi G, et al. (2021) ( | 100 patients | 16S rRNA (V3-V4) sequencing |
The SCI-induced gut microbiota composition showed distinct dysbiotic signatures with an enriched in potentially pathogenic, pro-inflammatory, and mucus-degrading bacteria and a decreased abundance of short-chain fatty acids (SCFAs) producers. The gut microbiota dysbiosis is very likely secondary to injury and closely related to the lesion’s degree of completeness and severity after SCI. |
| Yu B, et al. (2021) ( | 45 patients (21 complete thoracic SCI and 24 incomplete thoracic SCI) vs. 24 controls | 16S rRNA sequencing |
Compared with healthy individuals, Actinobacteria and Synergistetes were significantly enriched in patients with complete thoracic SCI. Similarly, Bacteroidetes, Cyanobacteria, and Proteobacteria were significantly lower in patients with incomplete thoracic SCI than healthy controls. Coriobacteriaceae, Synergistetes, Eubacterium, and Cloacibacillus, were significantly increased in patients with complete thoracic SCI, while Lactobacillaceae, Lachnospiraceae, Eubacterium, Clostridium, and Sutterella, were significantly increased in patients with incomplete thoracic SCI. |
| Kigerl KA, et al. (2016) ( | T9 contusion mice model | 16S rRNA (V4-V5) sequencing |
SCI increased intestinal permeability and bacterial translocation from the gut, associated with immune cell activation in gut-associated lymphoid tissues (GALTs) and the altered gut microbiota composition. In naive mice, gut dysbiosis induced by oral delivery of broad-spectrum antibiotics before SCI exacerbated neurological impairment and spinal cord pathology after SCI. SCI mice treated by commercial probiotics (VSL#3) enriched lactic acid-producing bacteria, triggering a protective immune response in GALTs and conferring neuroprotection with improved neurological recovery. |
| O’Connor G, et al. (2018) ( | T9 contusion rat model | 16S rRNA (V4) sequencing |
Lactobacillus intestinalis, Clostridium disporicum, and Bifidobacterium choerinum were enriched, while Clostridium saccharogumia was depleted following SCI. Levels of interleukin-1β(IL-1β), IL-12, and macrophage inflammatory protein-2 significantly correlated with changes in β diversity 8-weeks post-SCI. |
| Myers SA, et al. (2019) ( | T9 contusion mice model | 16S rRNA (V4) sequencing |
SCI led to an increased abundance of Proteobacteria. The absence of Pde4b improved white matter sparing and recovery of hindlimb locomotion following SCI. Moreover, SCI-induced gut dysbiosis, bacterial overgrowth, and endotoxemia were also reduced in Pde4b-/- mice. |
| Jing Y, et al. (2019) ( | T10 contusion mice model | 16S rRNA (V3-V4) sequencing |
Daily intraperitoneal injection with melatonin improved enhanced barrier integrity and gastrointestinal motility, reduced proinflammatory cytokines, and promoted locomotor recovery. Melatonin-treated SCI animals decreased the abundance of Clostridiales and increased the quantity of Lactobacillales and Lactobacillus. Before surgery, gut dysbiosis induced by broad-spectrum antibiotics exacerbated neurological impairment following SCI, and melatonin treatment improved locomotor recovery and intestinal integrity in antibiotic-treated SCI mice. |
| Schmidt EKA, et al. (2020) ( | C5 contusion rat model | 16S rRNA (V4) sequencing |
SCI-induced dysbiosis increased symptoms of anxiety-like behavior. Fecal microbiota transplantation (FMT) prevented SCI-induced dysbiosis and the development of anxiety-like behavior. |
| Jing Y, et al. (2021) ( | T10 contusion mice model | 16S rRNA (V4) sequencing & HPLC-MS |
FMT-treated SCI mice facilitated functional recovery, promoted neuronal axonal regeneration, and enhanced intestinal barrier integrity and gastrointestinal motility, which short-chain fatty acids (SCFAs) and Nuclear Factor-κB (NF-κB) signaling may mediate. Butyricimonas were reduced in SCI mice, and FMT significantly reshaped gut microbiota. |
| Schmidt EKA, et al. (2021) ( | C5 contusion rat model | 16S rRNA (V4) sequencing |
Minocycline had a profound acute effect on the gut microbiota diversity and composition after SCI. Gut dysbiosis following SCI has been linked to the development of anxiety-like behavior, which was also alleviated by minocycline. Although minocycline attenuated SCI-induced microglial activation, it did not change the lesion size or promote neurological recovery. |
| Doelman A, et al. (2021) ( | T2 or T10 contusion pig model | 16S rRNA (V3-V4) sequencing |
In the acute phase (<14d post-SCI), Proteobacteria, Tenericutes, Epsilonbacteraeota, and Cyanobacteria decreased compared to the controls while Bacteroidetes, Firmicutes, and Spirochaetes were enriched. In the sub-acute phase (>14 days post-SCI), the abundance of Spirochaetes, Cyanobacteria, and Proteobacteria remained statistically significantly different from the controls. |
| Rong Z, et al. (2021) ( | T10 contusion mice model | – |
The levels of pro-inflammatory cytokines tumor necrosis factor-α, IL-1β, and IL-6 in SCI mice were increased, while the levels of anti-inflammatory factors IL-4, transforming growth factor-β, and IL-10 were decreased. Gut microbiota dysbiosis aggravated SCI by activating the toll-like receptor 4(TLR4)/myeloid differentiation factor 88 (MyD88) signaling pathway. |
| Du J, et al. (2021) ( | T4 or T10 contusion mice model | genome- and gene-resolved metagenomic analysis |
The abundance of Lactobacillus johnsonii and CAG-1031 spp. decreased, while Weissella cibaria, Lactococcus lactis_A, Bacteroides thetaiotaomicron were enriched after SCI. Microbial-mediated biosynthesis of tryptophan, vitamin B6, and folate was reduced after SCI. 1028 mostly novel viral populations were recovered, which expanded known murine gut viral species sequence space. Phages of beneficial commensal hosts, including CAG-1031, Lactobacillus, and Turicibacter, decreased, while phages of pathogenic hosts, including Weissella, Lactococcus, and class Clostridia, increased after SCI. |
16S rRNA, 16S ribosomal RNA.
HPLC-MS, high-performance liquid chromatography-mass spectrometry.