spearman correlations Search Results


spearman rho rank correlation  (MedCalc Software Ltd)
90
MedCalc Software Ltd spearman rho rank correlation
Spearman Rho Rank Correlation, supplied by MedCalc Software Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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spearman rank correlation coefficient  (CH Instruments)
90
CH Instruments spearman rank correlation coefficient
Spearman Rank Correlation Coefficient, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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spearman’s correlation test  (Addinsoft inc)
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Addinsoft inc spearman’s correlation test
Spearman’s Correlation Test, supplied by Addinsoft inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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spearman correlation plots r studio 2021.09.1  (RStudio)
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RStudio spearman correlation plots r studio 2021.09.1
Spearman Correlation Plots R Studio 2021.09.1, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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spearman’s correlation coefficient analysis  (BGI Shenzhen)
90
BGI Shenzhen spearman’s correlation coefficient analysis
Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation <t>coefficient</t> showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.
Spearman’s Correlation Coefficient Analysis, supplied by BGI Shenzhen, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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correlation analysis by the spearman rank method  (RStudio)
90
RStudio correlation analysis by the spearman rank method
Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation <t>coefficient</t> showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.
Correlation Analysis By The Spearman Rank Method, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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spearman rank coefficient  (NORELL)
90
NORELL spearman rank coefficient
Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation <t>coefficient</t> showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.
Spearman Rank Coefficient, supplied by NORELL, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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univariate spearman correlation coefficients  (MedCalc Software Ltd)
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MedCalc Software Ltd univariate spearman correlation coefficients
Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation <t>coefficient</t> showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.
Univariate Spearman Correlation Coefficients, supplied by MedCalc Software Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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spearman’s correlation analysis  (RStudio)
90
RStudio spearman’s correlation analysis
Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation <t>coefficient</t> showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.
Spearman’s Correlation Analysis, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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non-parametric spearman’s rank correlations  (RStudio)
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RStudio non-parametric spearman’s rank correlations
Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation <t>coefficient</t> showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.
Non Parametric Spearman’s Rank Correlations, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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spearman's correlation matrix values  (ncss llc)
90
ncss llc spearman's correlation matrix values
Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation <t>coefficient</t> showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.
Spearman's Correlation Matrix Values, supplied by ncss llc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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spearman rank correlation  (StatsDirect ltd)
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StatsDirect ltd spearman rank correlation
Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation <t>coefficient</t> showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.
Spearman Rank Correlation, supplied by StatsDirect ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation coefficient showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.

Journal: Frontiers in Immunology

Article Title: Disease predisposition of human leukocyte antigen class II genes influences the gut microbiota composition in patients with primary biliary cholangitis

doi: 10.3389/fimmu.2022.984697

Figure Lengend Snippet: Bacterial richness and diversity analysis. (A) We found 510 shared universal OTUs in samples from both FHRAC-positive and FHRAC-negative patients. FHRAC-positive patients contained more unique OTUs than did FHRAC-negative patients (554 vs. 538 OTUs). (B) α-diversity analysis showed no significant differences in the Simpson’s, Shannon’s, Sobs, abundance-based coverage estimator (ACE), Chao, or other observed species indexes between the two groups ( P > 0.05). (C) Microbial community diversity in the FHRAC-positive patients was significantly lower than that of the FHRAC-negative patients ( P < 0.05). (D) Twenty-seven microbial genera were detected. In FHRAC-positive patients, Bacteroides , Escherichia , Others, Faecalibacterium , Phascolarctobacterium , Prevotella , Lachnospiraceae incertae , Megamonas , Veillonella , and Megasphaera were the top genera, constituting 79% of the taxa. Escherichia , Others, Bacteroides , Megamonas , Prevotella , Faecalibacterium , Gemmiger , Ruminococcus , Megasphaera and Citrobacter were the top genera in the FHRAC-negative patients (78%). (E) The Wilcoxon test was used to compare the significantly different top 10 genera. Lachnospiraceae_incertae_sedis was higher in FHRAC-positive patients than in FHRAC-negative patients. (F) linear discriminant analysis (LDA) effect-size (LEfSe) analysis showed that FHRAC-negative patient samples contained mainly Epsilonproteobacteria at the class level, Campylobacterales and Actinomycetales at the order level and Campylobacteraceae at the family level. (G) Lachnospiraceae_incertae_sedis , Anaerostipes , Actinomycetales , Desulfovibrio , Barnesiella , Lachnospira , Campylobacteraceae , Epsilonproteobacteria , Campylobacterales , Campylobacter , and Klebsiella were differentially expressed among the taxonomic levels. (H) We detected 157 metabolites or pathways at the KEGG level 3. The Wilcoxon test was used to compare the significantly different features. The differentially expressed microbiota were closely related to four differential metabolic pathways, including glycosaminoglycan degradation. (I) The Spearman’s correlation coefficient showed an association between clinical manifestations and microbial taxa. Glycosaminoglycan degradation was positively correlated with albumin (ALB). Lachnospiraceae_incertae_sedis was positively correlated with IgG. *P<0.05.

Article Snippet: Spearman’s correlation coefficient analysis of the species revealed important patterns and relationships among dominant species ( BGI-Shenzhen, Shenzhen, China).

Techniques: