Distinctive Gut Microbiota Alteration Is Associated with Poststroke Functional Recovery: Results from a Prospective Cohort Study

From BugSigDB
Needs review
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Dang Y, Zhang X, Zheng Y, Yu B, Pan D, Jiang X, Yan C, Yu Q, Lu X
Journal
Neural plasticity
Year
2021
OBJECTIVES: Functional prognosis is potentially correlated with gut microbiota alterations following the dysregulation of the gut-microbiota-brain axis after stroke. This study was designed to explore the poststroke alterations of gut microbiota and potential correlations between gut microbiota and global functions. METHODS: A total of thirty-eight patients with stroke and thirty-five healthy demographics-matched controls were recruited. Their fecal DNAs were extracted, and the V3-V4 regions of the conserved bacterial 16S RNA were amplified and sequenced on the Illumina MiSeq platform. Microbial composition, diversity indices, and species cooccurrence were compared between groups. Random forest and receiver operating characteristic analysis were used to identify potential diagnostic biomarkers. Relationships between discriminant bacteria and poststroke functional outcomes were estimated. RESULTS: Higher alpha diversity of gut microbiota was observed in poststroke patients as compared to the healthy controls (p < 0.05). Beta diversity showed that microbiota composition in the poststroke group was significantly different from that in the control group. Relative abundance of nine genera increased significantly in poststroke patients, while 82 genera significantly decreased (p < 0.05). The accuracy, specificity, and susceptibility of the optimal model consisted of the top 10 discriminant species were 93%, 100%, and 86%, respectively. Subgroup analysis showed that bacterial taxa abundant between subacute and chronic stroke patients were overall different (p < 0.05). The modified Rankin scale (mRS) (r = -0.370, p < 0.05), Fugl-Meyer assessment (FMA) score (r = 0.364, p < 0.05), water swallow test (WST) (r = 0.340, p < 0.05), and Barthel index (BI) (r = 0.349, p < 0.05) were significantly associated with alterations of distinctive gut microbiota. CONCLUSIONS: The gut microbiota in patients with stroke was significantly changed in terms of richness and composition. Significant associations were detected between alterations of distinctive gut microbiota and global functional prognosis. It would facilitate novel treatment target selection in the context of stroke while the causal relationships between distinctive gut microbiota alterations and functional variations need to be further verified with well-designed studies.

Experiment 1


Needs review

Curated date: 2024/10/22

Curator: Tino

Revision editor(s): Tino

Subjects

Location of subjects
China
Host species Species from which microbiome was sampled. Contact us to have more species added.
Homo sapiens
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Stroke Acute Cerebrovascular Accident,Acute Cerebrovascular Accidents,Acute Stroke,Acute Strokes,Apoplexy,Apoplexy, Cerebrovascular,Brain Vascular Accident,Brain Vascular Accidents,cerebral infarction,Cerebral Stroke,Cerebral Strokes,Cerebrovascular Accident,cerebrovascular accident,Cerebrovascular accident (disorder),Cerebrovascular accident (disorder) [Ambiguous],CEREBROVASCULAR ACCIDENT, (CVA),cerebrovascular accident, (CVA),Cerebrovascular Accident, Acute,Cerebrovascular Accidents,Cerebrovascular Accidents, Acute,Cerebrovascular Apoplexy,Cerebrovascular Apoplexya,Cerebrovascular Stroke,Cerebrovascular Strokes,CVA,CVA (cerebral vascular accident),CVA (Cerebrovascular Accident),CVA - Cerebrovascular accident,CVA - Cerebrovascular accident unspecified,CVA, CEREBROVASCULAR ACCIDENT,CVA, cerebrovascular accident,CVAs (Cerebrovascular Accident),ischemic stroke,stroke,Stroke and cerebrovascular accident unspecified,Stroke and cerebrovascular accident unspecified (disorder),stroke disorder,Stroke NOS,Stroke NOS (disorder),STROKE SYNDROME,stroke syndrome,Stroke, Acute,Stroke, Cerebral,Stroke, Cerebrovascular,Stroke/CVA - undefined,Strokes,Strokes, Acute,Strokes, Cerebral,Strokes, Cerebrovascular,SYNDROME, STROKE,syndrome, stroke,undetermined stroke,Vascular Accident, Brain,Vascular Accidents, Brain,Stroke
Group 0 name Corresponds to the control (unexposed) group for case-control studies
healthy controls
Group 1 name Corresponds to the case (exposed) group for case-control studies
stroke patients
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
A number of 38 subjects with clinical diagnosis of poststroke patients (aged 59.18 ± 15.34; male/female 25/13) were recruited, including 18 subacute and 20 chronic patients.
Group 0 sample size Number of subjects in the control (unexposed) group
35
Group 1 sample size Number of subjects in the case (exposed) group
38

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V3-V4
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Statistical test
LEfSe
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
No
LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
3.5
Matched on Factors on which subjects have been matched on in a case-control study
sex, age

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
increased
Richness Number of species
increased

Signature 1

Needs review

Curated date: 2024/10/22

Curator: Tino

Revision editor(s): Tino, Rahila

Source: Figure 3b

Description: Identification of microbiota-based biomarkers for stroke.

Abundance in Group 1: increased abundance in stroke patients

NCBI Quality ControlLinks
Acidaminococcus massiliensis
Bacilli
Bacteroides stercoris
Bifidobacterium adolescentis
Enterobacterales
Enterobacteriaceae
Enterococcaceae
Enterococcus
Escherichia
Fusobacteriaceae
Fusobacteriales
Fusobacteriia
Fusobacterium
Fusobacterium necrogenes
Lactobacillales
Lactobacillus
Megamonas
Megamonas funiformis
Veillonella
Veillonella dispar
Lactobacillaceae

Revision editor(s): Tino, Rahila

Signature 2

Needs review

Curated date: 2024/10/22

Curator: Tino

Revision editor(s): Tino, Rahila

Source: Figure 3b

Description: identification of microbiota-based biomarkers for stroke.

Abundance in Group 1: decreased abundance in stroke patients

NCBI Quality ControlLinks
Bacillota
Betaproteobacteria
Blautia
Blautia luti
Blautia massiliensis (ex Durand et al. 2017)
Blautia obeum
Blautia wexlerae
Clostridia
Clostridiales bacterium
Collinsella
Collinsella aerofaciens
Coriobacteriaceae
Erysipelotrichaceae
Erysipelotrichales
Erysipelotrichia
Faecalibacterium
Faecalibacterium prausnitzii
Fusicatenibacter
Fusicatenibacter saccharivorans
Gemmiger formicilis
Lachnospiraceae
Neisseria
Neisseria meningitidis
Neisseriaceae
Neisseriales
Peptostreptococcaceae
Phocaeicola coprocola
Phocaeicola plebeius
Prevotella
Prevotellaceae
Roseburia
Roseburia cecicola
Roseburia inulinivorans
Ruminococcus
Ruminococcus bromii
Segatella copri
Segatella oris
Subdoligranulum
Oscillospiraceae

Revision editor(s): Tino, Rahila

Experiment 2


Needs review

Curated date: 2024/10/22

Curator: Tino

Revision editor(s): Tino

Differences from previous experiment shown

Subjects

Group 0 name Corresponds to the control (unexposed) group for case-control studies
subacute
Group 1 name Corresponds to the case (exposed) group for case-control studies
chronic patients
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
The chronic stroke is defined as duration of stroke for more than 30 days.
Group 0 sample size Number of subjects in the control (unexposed) group
18
Group 1 sample size Number of subjects in the case (exposed) group
20

Lab analysis

Statistical Analysis

LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
2.5
Matched on Factors on which subjects have been matched on in a case-control study
age, sex

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged
Richness Number of species
unchanged

Signature 1

Needs review

Curated date: 2024/10/23

Curator: Tino

Revision editor(s): Tino

Source: Figure 4f

Description: Subgroup analysis of gut microbiota in stroke.

Abundance in Group 1: increased abundance in chronic patients

NCBI Quality ControlLinks
Barnesiella intestinihominis
Barnesiella
Barnesiellaceae
Bacteroides salyersiae
Bifidobacterium catenulatum subsp. kashiwanohense
Butyrivibrio proteoclasticus
Lactococcus
Lactococcus garvieae
Proteus
Proteus mirabilis

Revision editor(s): Tino

Signature 2

Needs review

Curated date: 2024/10/23

Curator: Tino

Revision editor(s): Tino

Source: Figure 4f

Description: Subgroup analysis of gut microbiota in stroke.

Abundance in Group 1: decreased abundance in chronic patients

NCBI Quality ControlLinks
Actinomyces oris
Bacteroides thetaiotaomicron
Clostridium perfringens
Howardella
Howardella ureilytica
Limosilactobacillus mucosae
Megasphaera
Parabacteroides johnsonii
Paraprevotella clara
Paraprevotella
Peptococcus niger
Streptococcus troglodytidis
Veillonellaceae

Revision editor(s): Tino