Associations of the gut microbiome and clinical factors with acute GVHD in allogeneic HSCT recipients

Abstract Acute graft-versus-host disease (aGVHD) is a leading cause of transplantation-related mortality after allogeneic hematopoietic stem cell transplantation (aHSCT). 16S ribosomal RNA (16S rRNA) gene-based studies have reported that lower gut bacterial diversity and the relative abundance of certain bacteria after aHSCT are associated with aGVHD. Using shotgun metagenomic sequencing and a large cohort, we aimed to confirm and extend these observations. Adult aHSCT recipients with stool samples collected from day −30 to day 100 relative to aHSCT were included. One sample was selected per patient per period (pre-aHSCT (day −30 to day 0), early post-aHSCT (day 1 to day 28), and late post-aHSCT (day 29 to day 100)), resulting in 150 aHSCT recipients and 259 samples. Microbial and clinical factors were tested for differences between time periods and an association with subsequent aGVHD. Patients showed a decline in gut bacterial diversity posttransplant, with several patients developing a dominance of Enterococcus. A total of 36 recipients developed aGVHD at a median of 34 days (interquartile range, 26-50 days) post-aHSCT. Lower microbial gene richness (P = .02), a lower abundance of the genus Blautia (P = .05), and a lower abundance of Akkermansia muciniphila (P = .01) early post-aHSCT was observed in those who developed aGVHD. Myeloablative conditioning was associated with aGVHD along with a reduction in gene richness and abundance of Blautia and A muciniphila. These results confirm low diversity and Blautia being associated with aGVHD. Crucially, we add that pretransplant conditioning is associated with changes in gut microbiota. Investigations are warranted to determine the interplay of gut microbiota and conditioning in the development of aGVHD.

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Yoghurt Consumption is Associated With Transient Changes in the Composition of the Human Gut Microbiome

10.21203/rs.3.rs-99718/v1 ◽

2020 ◽

Author(s):

Caroline Ivanne Le Roy ◽

Alexander Kurilshikov ◽

Emily Leeming ◽

Alessia Visconti ◽

Ruth Bowyer ◽

...

Keyword(s):

16S Rrna ◽

Gut Microbiota ◽

Visceral Fat ◽

Gut Microbiome ◽

Body Weight Gain ◽

Healthy Eating Index ◽

Rrna Gene ◽

Metagenomic Sequencing ◽

Sequencing Data ◽

Shotgun Metagenomic Sequencing

Abstract Background: Yoghurt contains live bacteria that could contribute via modulation of the gut microbiota to its reported beneficial effects such as reduced body weight gain and lower incidence of type 2 diabetes. To date, the association between yoghurt consumption and the composition of the gut microbiota is underexplored. Here we used clinical variables, metabolomics, 16S rRNA and shotgun metagenomic sequencing data collected on over 1000 predominantly female UK twins to define the link between the gut microbiota and yoghurt-associated health benefits. Results: According to food frequency questionnaires (FFQ), 73% of subjects consumed yoghurt. Consumers presented a healthier diet pattern (healthy eating index: beta = 2.17±0.34; P = 2.72x10-10) and improved metabolic health characterised by reduced visceral fat (beta = -28.18±11.71 g; P = 0.01). According to 16S rRNA gene analyses and whole shotgun metagenomic sequencing approach consistent taxonomic variations were observed with yoghurt consumption. More specifically, we identified higher abundance of species used as yoghurt starters Streptococcus thermophilus (beta = 0.41±0.051; P = 6.14x10-12) and sometimes added Bifidobacterium animalis subsp. lactis (beta = 0.30±0.052; P = 1.49x10-8) in the gut of yoghurt consumers. Replication in 1103 volunteers from the LifeLines-DEEP cohort confirmed the increase of S. thermophilus among yoghurt consumers. Using food records collected the day prior to faecal sampling we showed that increase in these two yoghurt bacteria could be transient. Metabolomics analysis revealed that B. animalis subsp. lactis was associated with 13 faecal metabolites including a 3-hydroxyoctanoic acid, known to be involved in the regulation of gut inflammation.Conclusions: Yoghurt consumption is associated with reduced visceral fat mass and changes in gut microbiome including transient increase of yoghurt-contained species (i.e. S. thermophilus and B. lactis).

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P053 Overabundance of Lactobacillus species in gut microbiota of IBD patients

Journal of Crohn s and Colitis ◽

10.1093/ecco-jcc/jjab076.182 ◽

2021 ◽

Vol 15 (Supplement_1) ◽

pp. S160-S161

Author(s):

D Khusnutdinova ◽

M Markelova ◽

M Siniagina ◽

E Boulygina ◽

S Abdulkhakov ◽

...

Keyword(s):

Gut Microbiota ◽

Intestinal Microbiota ◽

Active Phase ◽

Bioinformatic Analysis ◽

Lactobacillus Species ◽

Control Group ◽

Metagenomic Sequencing ◽

Shotgun Metagenomic Sequencing ◽

Inflammatory Bowel ◽

Stool Samples

Abstract Background Changes in the composition of gut microbiota, and their metabolic pathways, are important factors in the pathogenesis of inflammatory bowel disease (IBD). Many clinical trials have shown that taking probiotics based on Lactobacillus has a positive effect on patients with IBD. However, Lactobacillus should be used more carefully during the active phase of IBD, since some strains can negatively affect the pathogenesis of the disease1,2. The aim of this study was to assess the diversity of Lactobacillus species in the gut microbiome of IBD patients and healthy volunteers. Methods In the study, 62 stool samples from healthy people, 31 from patients with Crohn’s disease (CD), and 34 - ulcerative colitis (UC) in active phase were analyzed. DNA was isolated using the QIAamp Fast DNA Stool Mini Kit (Qiagen, USA) following with shotgun metagenomic sequencing the NextSeq 500 (project #0671-2020-0058). Bioinformatic analysis was performed with the MetaPhlAn2 package. Results An increased relative abundance of Lactobacillus was found in patients with IBD (3.2% ± 6.6% in CD and 1.6% ± 2.8 in UC) compared to healthy individuals (0.3% ± 1.2%, p<0.05). In the control group, Lactobacillus were absent in 41% of samples and 1–5 species were found in 58% of samples. Most CD and UC patients are characterized by the presence of 3 to 5 species of Lactobacillus (38% and 31%, respectively). For 23% of CD patients and 26% of UC patients, 6 to 9 types of Lactobacillus were found. Some patients with IBD have more than 10 different types of Lactobacillus in the gut microbiota (Fig.1). The intestinal microbiota in IBD patients is characterized by an increased abundance of several species: L. salivarius, L. gasseri, L. mucosae, as well as L. casei paracasei in patients with CD and L. vaginalis in patients with UC (Fig.2). Conclusion The composition of the intestinal microbiota of IBD patients differs significantly in terms of Lactobacillus proportion and species diversity. Overabundance of five Lactobacillus species could be associated with the active phase of IBD. References

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Yoghurt consumption is associated with transient changes in the composition of the human gut microbiome

10.21203/rs.3.rs-38248/v1 ◽

2020 ◽

Author(s):

Caroline Ivanne Le Roy ◽

Alexander Kurilshikov ◽

Emily Leeming ◽

Alessia Visconti ◽

Ruth Bowyer ◽

...

Keyword(s):

16S Rrna ◽

Gut Microbiota ◽

Visceral Fat ◽

Gut Microbiome ◽

Body Weight Gain ◽

Healthy Eating Index ◽

Rrna Gene ◽

Metagenomic Sequencing ◽

Sequencing Data ◽

Shotgun Metagenomic Sequencing

Abstract Background: Yoghurt contains live bacteria that could contribute via modulation of the gut microbiota to its reported beneficial effects such as reduced body weight gain and lower incidence of type 2 diabetes. To date, the association between yoghurt consumption and the composition of the gut microbiota is underexplored. Here we used clinical variables, metabolomics, 16S rRNA and shotgun metagenomic sequencing data collected on over 1000 predominantly female UK twins to define the link between the gut microbiota and yoghurt-associated health benefits. Results: According to food frequency questionnaires (FFQ), 73% of subjects consumed yoghurt. Consumers presented a healthier diet pattern (healthy eating index: beta = 2.17±0.34; P = 2.72x10 -10 ) and improved metabolic health characterised by reduced visceral fat (beta = -28.18±11.71 g; P = 0.01). According to 16S rRNA gene analyses and whole shotgun metagenomic sequencing approach consistent taxonomic variations were observed with yoghurt consumption. More specifically, we identified higher abundance of species used as yoghurt starters Streptococcus thermophilus (beta = 0.41±0.051; P = 6.14x10 -12 ) and sometimes added Bifidobacterium animalis subsp. lactis (beta = 0.30±0.052; P = 1.49x10 -8 ) in the gut of yoghurt consumers. Replication in 1103 volunteers from the LL-DEEP cohort confirmed the increase of S. thermophilus among yoghurt consumers. Using food records collected the day prior to faecal sampling we showed that increase in these two yoghurt bacteria could be transient. Metabolomics analysis revealed that B. animalis subsp. lactis was associated with 13 faecal metabolites including a 3-hydroxyoctanoic acid, known to be involved in the regulation of gut inflammation. Conclusions: Yoghurt consumption is associated with reduced visceral fat mass and changes in gut microbiome including transient increase of yoghurt-contained species ( i.e. S. thermophilus and B. lactis ).

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Comparison between 16S rRNA and shotgun sequencing data for the taxonomic characterization of the gut microbiota

Scientific Reports ◽

10.1038/s41598-021-82726-y ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Francesco Durazzi ◽

Claudia Sala ◽

Gastone Castellani ◽

Gerardo Manfreda ◽

Daniel Remondini ◽

...

Keyword(s):

16S Rrna ◽

Gut Microbiota ◽

16S Rrna Gene ◽

Gene Sequencing ◽

16S Rrna Gene Sequencing ◽

Shotgun Sequencing ◽

Rrna Gene ◽

Metagenomic Sequencing ◽

Experimental Conditions ◽

Rrna Gene Sequencing

AbstractIn this paper we compared taxonomic results obtained by metataxonomics (16S rRNA gene sequencing) and metagenomics (whole shotgun metagenomic sequencing) to investigate their reliability for bacteria profiling, studying the chicken gut as a model system. The experimental conditions included two compartments of gastrointestinal tracts and two sampling times. We compared the relative abundance distributions obtained with the two sequencing strategies and then tested their capability to distinguish the experimental conditions. The results showed that 16S rRNA gene sequencing detects only part of the gut microbiota community revealed by shotgun sequencing. Specifically, when a sufficient number of reads is available, Shotgun sequencing has more power to identify less abundant taxa than 16S sequencing. Finally, we showed that the less abundant genera detected only by shotgun sequencing are biologically meaningful, being able to discriminate between the experimental conditions as much as the more abundant genera detected by both sequencing strategies.

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The effects of gestational age on the composition and predicted function of gut microbiota in neonates and early infants

World Journal of Advanced Research and Reviews ◽

10.30574/wjarr.2021.12.2.0648 ◽

2021 ◽

Vol 12 (2) ◽

pp. 567-573

Author(s):

Kaiyu Pan ◽

Lianfang Yu ◽

Chengyue Zhang ◽

Jianhua Zhan ◽

Rongliang Tu

Keyword(s):

Gut Microbiota ◽

Gestational Age ◽

Full Term ◽

Rrna Gene ◽

Delivery Mode ◽

16S Sequencing ◽

Α Diversity ◽

Preterm Group ◽

Stool Samples ◽

Predicted Function

Gut microbiota can influence cell differentiation, metabolism, and immune function and is key for the normal development and future health of early infants. Several factors have been reported to be related to the microbiota composition of neonates, such as gestational age, delivery mode, feeding method, antibiotics consumption, and ethnicity, among others. So we investigated the relationship between gestational age and the composition and predicted function of the gut microbiota of neonates and early infants by sequencing the 16S rRNA gene present in stool samples obtained from 100 prospectively enrolled full-term and preterm newborns. In the 3-day-old neonates samples, the prominent genera in the full-term group were Escherichia-Shigella, Streptococcus, Bifidobacterium, and Bacteroides, while in the preterm group, Staphylococcus, Streptococcus, Escherichia-Shigella and Clostridium were the most abundant genera identified. There were statistical difference between two groups(P<0.05). Moreover, the predominant genera in the full-term group were Bifidobacterium, Lactobacillus, Bacteroides, and Clostridium , whereas the main genera in the preterm group were Escherichia-Shigella, Clostridium, Bifidobacterium and Bacteroides, in stool samples from 30-42-day-old infants. We found the α-diversity in 3-day-old group was significantly lower than in the 30-42-day-old group whether it’s full-term or preterm (P<0.001). Functional inference analysis revealed higher levels of biodegradation and metabolism of carbohydrates, vitamins in the full-term group than in the preterm group, both in neonates and early infants, which may contribute to the stability of the microbiota in the full-term group. There were significant differences in the composition and predicted function of the gut microbiota of early infants due to gestational age. The 16S sequencing technology was an effective and reliable tool in the detection of gut microbiota in early infants.

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Abstract P174: Adiposity Mediates the Association Between Gut Microbial Diversity and Hypertension: Cardia Study

Circulation ◽

10.1161/circ.141.suppl_1.p174 ◽

2020 ◽

Vol 141 (Suppl_1) ◽

Author(s):

Yuichiro Yano ◽

Anju Lulla ◽

Annie Green Howard ◽

Samuel Gidding ◽

Paul Muntner ◽

...

Keyword(s):

Microbial Diversity ◽

Antihypertensive Medication ◽

Diversity Index ◽

Metagenomic Sequencing ◽

Mediation Analyses ◽

Shotgun Metagenomic Sequencing ◽

Stool Samples ◽

Microbiota Diversity ◽

Microbial Effects

Introduction: We have shown that gut microbial diversity is associated with hypertension in the Coronary Artery Risk Development in Young Adults (CARDIA) Study. Animal models have documented gut microbial effects on adiposity, a known risk factor for hypertension. The extent to which adiposity may mediate the association between the gut microbiome and hypertension has not been studied. Hypothesis: We hypothesize that adiposity is a mediator of the association between gut microbial diversity and hypertension. Methods: We analyzed data from the CARDIA Study (480 participants). Shotgun metagenomic sequencing was performed on DNA extracted from stool samples collected at the Year 30 exam (2015-2016). Taxonomic classification of sequenced reads was performed using Kraken2. Within-person gut microbial diversity was assessed at the genus level using the Shannon Diversity Index and richness (number of distinct genera); lower values indicate less diversity. Hypertension was defined as systolic BP ≥140, diastolic BP ≥90 mm Hg, or taking antihypertensive medication. We performed mediation analyses to quantify the percentage of the total estimated effect of gut microbial diversity on hypertension that is mediated by adiposity as assessed using body mass index (BMI). Results: Mean age of the participants was 55.1 (3.4) years, 47% were African American, and 53% were female. In multivariable-adjusted mediation analysis, BMI explained on average 26-34% of the association between gut microbiota diversity and hypertension (Table). Results were robust to adjustment for sociodemographic variables (Model 2) and health behaviors (Model 3). Conclusions: Approximately one-third of the total effect of gut microbial diversity on hypertension is mediated through adiposity.

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Decreased Enteric Bacterial Composition and Diversity in South American Crohn’s Disease Vary With the Choice of Treatment Strategy and Time Since Diagnosis

Journal of Crohn s and Colitis ◽

10.1093/ecco-jcc/jjz189 ◽

2019 ◽

Vol 14 (6) ◽

pp. 791-800

Author(s):

Angélica Cruz-Lebrón ◽

Leticia D’argenio Garcia ◽

Aarthi Talla ◽

Samira Joussef-Piña ◽

Miguel E Quiñones-Mateu ◽

...

Keyword(s):

Crohn’S Disease ◽

Crohn's Disease ◽

Gut Microbiota ◽

Bacterial Diversity ◽

Relative Abundance ◽

Treatment Strategy ◽

Chronic Inflammatory Disease ◽

Rrna Gene ◽

Faecal Calprotectin ◽

Time Since Diagnosis

Abstract Background and Aims The symptomology of Crohn’s disease [CD], a chronic inflammatory disease of the digestive tract, correlates poorly with clinical, endoscopic or immunological assessments of disease severity. The prevalence of CD in South America is rising, reflecting changes in socio-economic stability. Many treatment options are available to CD patients, including biological agents and corticosteroids, each of which offers variable efficacy attributed to host genetics and environmental factors associated with alterations in the gut microbiota. Methods Based on 16S rRNA gene sequencing and taxonomic differences, we compared the faecal microbial population of Brazilian patients with CD treated with corticosteroid or anti-tumour necrosis factor [anti-TNF] immunotherapy. Faecal calprotectin and plasma sCD14 levels were quantified as markers for local and systemic inflammation, respectively. Results Anti-TNF treatment led to an increased relative abundance of Proteobacteria and a decreased level of Bacteroidetes. In contrast, corticoid treatment was associated with an increase in the relative abundance of Actinobacteria, which has been linked to inflammation in CD. Disruption of the faecal microbiota was related to decreased bacterial diversity and composition. Moreover, the choice of clinical regimen and time since diagnosis modulate the character of the resulting dysbiosis. Conclusions Enteric microbial populations in CD patients who have been treated are modulated by disease pathogenesis, local inflammatory microenvironment and treatment strategy. The dysbiosis that remains after anti-TNF treatment due to decreased bacterial diversity and composition abates restoration of the microbiota to a healthy state, suggesting that the identification and development of new clinical treatments for CD must include their capacity to normalize the gut microbiota.

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2569. The Gut Microbiome and Acute Graft vs. Host Disease Risk in Hematopoietic Stem Cell Transplantation Recipients

Open Forum Infectious Diseases ◽

10.1093/ofid/ofz360.2247 ◽

2019 ◽

Vol 6 (Supplement_2) ◽

pp. S892-S893

Author(s):

Emma E Ilett ◽

Joanne Reekie ◽

Mette Jørgensen ◽

Daniel D Murray ◽

Marc Noguera ◽

...

Keyword(s):

Stem Cell ◽

Hematopoietic Stem Cell ◽

Gut Microbiome ◽

Conditioning Regimen ◽

Clinical Factors ◽

Hematopoietic Stem ◽

Host Disease ◽

Graft Vs Host Disease ◽

Gene Richness ◽

Acute Graft

Abstract Background 16S rRNA gene-based studies report that allogeneic hematopoietic stem cell transplant (aHSCT) recipients with low bacterial diversity and certain bacteria close to engraftment have increased risk of developing acute graft-vs.-host disease (aGvHD). Using shotgun metagenomic data, we aim to confirm and extend these observations in a larger cohort. Methods Adult aHSCT recipients with stool samples collected days −30 to +100 relative to aHSCT, but prior to aGvHD, were included. One sample was selected per patient and time point: pre-aHSCT (T1), post-aHSCT pre-engraftment (T2). Complete ascertainment of aGvHD (grades ≥ 2) until day +100 was performed. Bacterial microbiome factors (α-diversity, gene richness and 16 a priori bacteria) and clinical factors were tested for associations with aGvHD across T1:2 in univariable models. Significant factors (P < 0.1) were included in a multivariable model. Results Of 147 aHSCT recipients, 35 developed aGvHD a median of 35 days (IQR 24–51) post-aHSCT. We found that higher gene richness was significantly associated with lower aGvHD risk in T2, but not T1, samples (OR 0.65 (95% CI 0.42–1.00), P = 0.04 vs. OR 1.14 (95% CI 0.67–1.94), P = 0.64 per doubling of unique genes). A decreased abundance of Akkermansia muciniphila, Proteobacteria, Blautia and Gammaproteobacteria was observed in those that developed aGvHD, again in T2 samples only (Figure 1). Among clinical factors, donor sex, donor/recipient (related/unrelated) and conditioning regimen (adjusted OR = 0.34 for non-myeloablative vs myeloablative (95% CI 0.15–0.77)) were significantly associated with aGvHD. Conditioning regimen was also strongly associated with microbiome changes; myeloablative recipients had lower gene richness and differences in bacterial abundance, including decreased abundance of aforementioned bacteria, compared with non-myeloablative recipients at T2 (Figures 2and 3). Conclusion Post-aHSCT pre-engraftment was a crucial timepoint where microbial changes, including lower gene richness and abundance of certain bacteria, were associated with development of aGvHD. Myeloablative regimes were also associated with both aGvHD and microbiome changes, suggesting that intense conditioning may affect aGvHD risk through perturbation of the gut microbiome. Disclosures All authors: No reported disclosures.

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2571. Norovirus Infection and Gut Microbiota in Transplant Recipients

Open Forum Infectious Diseases ◽

10.1093/ofid/ofz360.2249 ◽

2019 ◽

Vol 6 (Supplement_2) ◽

pp. S893-S893

Author(s):

Pearlie P Chong ◽

Sarah K Hussain ◽

Nicole Poulides ◽

Laura Coughlin ◽

...

Keyword(s):

Gut Microbiota ◽

Relative Abundance ◽

16S Rrna Gene Sequencing ◽

Antibiotic Use ◽

Rrna Gene ◽

Solid Organ ◽

Cell Transplant ◽

Transplant Recipients ◽

Hematopoietic Stem

Abstract Background In vitro studies have shown that enteric viruses require the gut microbiota (specific members of the Enterobacteriaceae family) for efficient infection of the gastrointestinal tract. Human norovirus (NV) infection in transplant recipients may be chronic and severe. The role of gut microbiota has not been defined in this setting. We hypothesized that gut microbiota diversity and composition are different in norovirus-infected transplant patients. Methods We performed a single-center, pilot, prospective cohort study of adult solid-organ transplant and hematopoietic stem cell transplant recipients with diarrhea. Serial fecal samples were collected and processed for gDNA. Norovirus levels were quantified by PCR and gut microbiota profiling determined by 16S rRNA gene sequencing. Results Twenty-five transplant recipients were included: 9 with NV infection and 16 without. Age (61 ± SEM 2.3 years vs. 54 ± 3.5 years; P = 0.172), duration of diarrhea prior to diagnosis (105 ± 43 days vs. 20 ± 7 days; P = 0.146), prior cumulative antibiotic use (42 ± 12 days vs. 46 ± 17 days; P = 0.646), anti-anaerobic antibiotic use (7 ± 3 days vs. 11 ± 6 days; P = 0.643) and length of hospitalization (12 ± 6 days vs. 12 ± 3 days; P = 0.624) were not different between transplant recipients with and without NV infection. Interestingly, the relative abundance of Enterobactericeae was significantly higher in NV-infected transplant recipients compared with those without NV infection (26 ± 5.8% vs. 6.2 ± 2.8%; P = 0.017, Mann–Whitney) (Figure 1). In contrast, the abundance of the Phyla Bacteroidetes (11.2 ± 5.2% vs. 26.3 ± 6.5%; P = 0.191), and Firmicutes (26.8 ± 7.6% vs. 24.9 ± 4.7%; P = 0.803), were not significantly different between those who were NV and not NV-infected. Of note, the diversity metrics of Shannon (3.5 ± 0.4 vs. 3.8 ± 0.3; P = 0.637) and inverse Simpson indices (1.3 ± 0.1 vs. 1.1±0.1; P = 0.419) were not significantly different between the two groups. Conclusion Norovirus-infected transplant recipients had a significantly higher relative abundance of Enterobactericeae in their gut microbiota compared with transplant recipients without norovirus infection. Future studies are needed to explore if this association is mechanistically important for norovirus infection. Disclosures All authors: No reported disclosures.

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Comparative Analysis of Fecal Microbiota Composition Between Rheumatoid Arthritis and Osteoarthritis Patients

Genes ◽

10.3390/genes10100748 ◽

2019 ◽

Vol 10 (10) ◽

pp. 748 ◽

Cited By ~ 5

Author(s):

Jin-Young Lee ◽

Mohamed Mannaa ◽

Yunkyung Kim ◽

Jehun Kim ◽

Geun-Tae Kim ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Gut Microbiota ◽

Gut Microbiome ◽

Bacterial Species ◽

Amplicon Sequencing ◽

Fecal Microbiota ◽

Rrna Gene ◽

Microbiota Composition ◽

Stool Samples ◽

Gut Microbiota Composition

The aim of this study was to investigate differences between the gut microbiota composition in patients with rheumatoid arthritis (RA) and those with osteoarthritis (OA). Stool samples from nine RA patients and nine OA patients were collected, and DNA was extracted. The gut microbiome was assessed using 16S rRNA gene amplicon sequencing. The structures and differences in the gut microbiome between RA and OA were analyzed. The analysis of diversity revealed no differences in the complexity of samples. The RA group had a lower Bacteroidetes: Firmicutes ratio than did the OA group. Lactobacilli and Prevotella, particularly Prevotella copri, were more abundant in the RA than in the OA group, although these differences were not statistically significant. The relative abundance of Bacteroides and Bifidobacterium was lower in the RA group. At the species level, the abundance of certain bacterial species was significantly lower in the RA group, such as Fusicatenibacter saccharivorans, Dialister invisus, Clostridium leptum, Ruthenibacterium lactatiformans, Anaerotruncus colihominis, Bacteroides faecichinchillae, Harryflintia acetispora, Bacteroides acidifaciens, and Christensenella minuta. The microbial properties of the gut differed between RA and OA patients, and the RA dysbiosis revealed results similar to those of other autoimmune diseases, suggesting that a specific gut microbiota pattern is related to autoimmunity.

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