Analysis of gut microbiome composition, function, and phenotype in patients with osteoarthritis.

Analysis of gut microbiome composition, function, and phenotype in patients with osteoarthritis.
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DOI:
10.3389/fmicb.2022.980591
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发表时间:
2022
影响因子:
5.2
通讯作者:
--
中科院分区:
生物学2区
文献类型:
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文献摘要

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肠道微生物群(GMB)紊乱可导致慢性低度炎症,与骨关节炎(OA)的发生发展密切相关。然而,GMB和OA之间的关系仍不清楚。本研究收集OA患者和健康人的粪便样本,通过16 S rRNA测序进行α多样性、β多样性、MetaStat和LEfSe分析,找出两组之间差异显著的物种。进行随机森林分析以找出可以区分OA患者和健康人的生物标志物。PICRUSt和Bugbase分析比较功能和表型的差异。多元线性回归分析(MaAsLin)用于调整性别、年龄和体重指数(BMI)。结果显示,两组之间GMB的总体组成存在显著差异(p = 0.005)。调整性别、年龄和BMI后,我们发现OA组中p_拟杆菌门(Q = 0.039)、c_拟杆菌门(Q = 0.039)和o_拟杆菌门(Q = 0.040)富集,而健康对照组中s_普雷沃氏菌(Q = 0.001)富集。普雷沃菌可以区分OA患者和健康人,具有更好的诊断能力(AUC = 77.5%,p < 0.001,95%CI:66.9-88.1%)。OA组的DNA转录、氨基酸代谢(包括组氨酸、赖氨酸和异亮氨酸)、ATP代谢和磷脂代谢功能显著降低,而葡萄糖代谢、蛋白乙酰化和天冬氨酸激酶活性显著增加。在表型方面,我们发现OA组中需氧菌(p = 0.003)和革兰氏阴性菌(p < 0.001)的相对丰度较高,而健康对照组中含有移动的元素(p = 0.001)和革兰氏阳性菌(p < 0.001)的相对丰度较高。本研究初步证实了OA患者和健康人粪便标本中GMB的组成、功能和表型存在差异,为OA的进一步研究提供了新的视角。
Gut microbiome (GMB) disturbance can induce chronic low-grade inflammation, which is closely related to the occurrence and development of osteoarthritis (OA). However, the relationship between GMB and OA remains unclear. In this study, we collected stool samples from OA patients and healthy people, and performed Alpha diversity, Beta diversity, MetaStat, and LEfSe analysis by 16S rRNA sequencing to find out the species with significant difference between the two groups. Random forest analysis was performed to find out biomarkers that could distinguish between OA patients and healthy people. PICRUSt and Bugbase analysis were used to compare the difference in functions and phenotypes. Multivariate linear regression analysis (MaAsLin) was used to adjust for gender, age, and body mass index (BMI). The results showed that there was a significant difference in the overall composition of GMB between the two groups (p = 0.005). After adjusting for gender, age, and BMI, we found that p_Bacteroidota (Q = 0.039), c_Bacteroidia (Q = 0.039), and o_Bacteroidales (Q = 0.040) were enriched in the OA group, while s_Prevotella_copri (Q = 0.001) was enriched in the healthy control group. Prevotella could distinguish between OA patients and healthy people with a better diagnostic power (AUC = 77.5%, p < 0.001, 95% CI: 66.9–88.1%). The functions of DNA transcription, amino acid metabolism (including histidine, lysine, and isoleucine), ATP metabolism, and phospholipid metabolism significantly decreased, while glucose metabolism, protein acetylation, and aspartate kinase activity significantly increased in the OA group. In terms of phenotypes, we found that the relative abundance of aerobic (p = 0.003) and Gram-negative (p < 0.001) was higher in the OA group, while contains mobile elements (p = 0.001) and Gram-positive (p < 0.001) were higher in the healthy control group. Our study preliminarily demonstrated that there were differences in the composition, function, and phenotype of GMB in stool samples between OA patients and healthy people, which provided a novel perspective on further study in OA.