Laboratory of Microbiome, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Astana, Kazakhstan.
Department of General Biology and Genomics, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan.
PeerJ. 2024 Jul 11;12:e17477. doi: 10.7717/peerj.17477. eCollection 2024.
The primary objective is to study the impact of gut microbiota and their interactions with diverse immunological markers on the development of rheumatoid arthritis.
This study was performed in Astana, Kazakhstan, and included 77 Kazakh female patients older than 18 years, who met the American College of Rheumatology 2010 classification criteria for rheumatoid arthritis (RA), and 113 healthy controls. The DNA was extracted from fecal samples obtained from all study participants for subsequent sequencing at the 16S rRNA gene V1-V3 locus, facilitating the analysis of the gut microbiome. The Multiplex immunoassay was employed to measure the concentrations of inflammatory cytokines, chemokines, and immunoglobulins in both fecal and plasma samples.
Our taxonomic analysis revealed significant differences in the composition of the gut microbiota between the healthy control cohort and the cohort with rheumatoid arthritis RA. Alpha diversity was significantly lower in the RA group. were the most abundant taxon and found to be crucial, showing correlations with immunological markers such as IL5. Additionally, and exhibited the most predictable power and distinguished the composition of both study groups.
Our study identifies key differences in the gut microbiome of RA patients, revealing distinct microbial patterns and specific taxa abundance. We highlight potential biomarkers in immunological and bacterial pathways, offering insights into RA development and indicating possibilities for personalized treatment.
主要目的是研究肠道微生物群及其与各种免疫标志物的相互作用对类风湿关节炎发展的影响。
本研究在哈萨克斯坦的阿斯塔纳进行，纳入了 77 名年龄大于 18 岁的哈萨克族女性类风湿关节炎患者，这些患者符合美国风湿病学会 2010 年类风湿关节炎（RA）分类标准，同时纳入了 113 名健康对照者。从所有研究参与者的粪便样本中提取 DNA，随后在 16S rRNA 基因 V1-V3 基因座进行测序，以分析肠道微生物组。采用多重免疫分析法测量粪便和血浆样本中炎症细胞因子、趋化因子和免疫球蛋白的浓度。
我们的分类分析显示，健康对照组和类风湿关节炎组的肠道微生物群组成存在显著差异。RA 组的α多样性显著降低。是最丰富的分类群，并且与免疫标志物如 IL5 相关。此外，和 表现出最可预测的能力，可区分两组研究对象的组成。
本研究确定了类风湿关节炎患者肠道微生物组的关键差异，揭示了不同的微生物模式和特定分类群的丰度。我们强调了免疫和细菌途径中的潜在生物标志物，为类风湿关节炎的发展提供了新的见解，并提示了个性化治疗的可能性。
