Shen Lu, Zhao Ying, Liu Shuting, Li Shangfeng, Li Qian, Tung Tao-Hsin, Shen Bo
Department of Clinical Laboratory, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, China.
School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Front Immunol. 2025 Aug 7;16:1619160. doi: 10.3389/fimmu.2025.1619160. eCollection 2025.
Autoimmune diseases have different pathogenic mechanisms but share underlying patterns of gut microbiome perturbation and intestinal barrier dysfunction. Recent evidence suggests that an arthritogenic strain of causes a local inflammatory response in the gut. Therefore, the aim of this review was to systematically summarize the relationships between and multiple autoimmune diseases.
To evaluate the changes of in different autoimmune diseases.
Four databases, including PubMed, Cochrane, Web of Science, and Embase, were searched up to June 17, 2025, to identify studies that detected in autoimmune diseases. A meta-analysis was conducted to compare the differences in between healthy people and patients with autoimmune diseases, and the changes in these bacteria under different treatments were compared for similar diseases. The relationships between and inflammation-related biomarkers were also analyzed.
We included articles that addressed both autoimmune diseases without intervention and the detection of in feces, and we presented a description of changes in bacteria in patients and healthy controls.
We used the Newcastle-Ottawa Scale (NOS) to independently assess the methodological quality of the case-control studies. The Journal of Biomedical Informatics (JBI) critical appraisal checklists were utilized to assess the quality and risk of bias in cross-sectional studies.
Twelve studies were included. These studies were conducted in four different countries and included a total of 1,792 participants (patients with autoimmune disease and healthy controls). Our meta-analysis results indicate that, compared with healthy controls, most patients with autoimmune diseases included in the study had lower levels of ( = 0.027). In addition, it was found that bacteria were associated with several inflammation-related biomarkers. For example, bacterial levels were positively correlated with C-reactive protein (CRP), lipopolysaccharide (LPS)-binding protein (LBP), and Treg cells. However, the levels were negatively correlated with IL-8. These relationships may underlie both the occurrence and development of autoimmune diseases.
The abundance of in patients with organ-specific autoimmune diseases was decreased, whereas no consistent findings were observed for systemic autoimmune diseases.
https://www.crd.york.ac.uk/PROSPERO/view/CRD42024543767, identifier CRD42024543767.
自身免疫性疾病具有不同的致病机制，但都存在肠道微生物群扰动和肠道屏障功能障碍的潜在模式。最近的证据表明，一种致关节炎菌株会在肠道中引发局部炎症反应。因此，本综述的目的是系统总结该菌株与多种自身免疫性疾病之间的关系。
评估该菌株在不同自身免疫性疾病中的变化。
检索了截至2025年6月17日的四个数据库，包括PubMed、Cochrane、Web of Science和Embase，以识别检测自身免疫性疾病中该菌株的研究。进行荟萃分析以比较健康人与自身免疫性疾病患者之间该菌株的差异，并比较相似疾病在不同治疗下这些细菌的变化。还分析了该菌株与炎症相关生物标志物之间的关系。
我们纳入了既涉及无干预的自身免疫性疾病又涉及粪便中该菌株检测的文章，并描述了患者和健康对照中细菌的变化。
我们使用纽卡斯尔-渥太华量表（NOS）独立评估病例对照研究的方法学质量。利用生物医学信息学杂志（JBI）的批判性评价清单来评估横断面研究的质量和偏倚风险。
纳入了12项研究。这些研究在四个不同国家进行，共包括1792名参与者（自身免疫性疾病患者和健康对照）。我们的荟萃分析结果表明，与健康对照相比，纳入研究的大多数自身免疫性疾病患者的该菌株水平较低（P = 0.027）。此外，发现该细菌与几种炎症相关生物标志物有关。例如，细菌水平与C反应蛋白（CRP）、脂多糖（LPS）结合蛋白（LBP）和调节性T细胞呈正相关。然而，该水平与白细胞介素-8呈负相关。这些关系可能是自身免疫性疾病发生和发展的基础。
器官特异性自身免疫性疾病患者中该菌株的丰度降低，而系统性自身免疫性疾病未观察到一致的结果。
https://www.crd.york.ac.uk/PROSPERO/view/CRD42024543767，标识符CRD42024543767。
