Feng Jinzhou, Tang Shi, Yang Xiaolin, Zhang Mengjie, Li Zhizhong, Zhang Shaoru, Han Yongliang, Li Yongmei, Monnier Philippe P, Yu Gang, Zheng Peng, Zhang Cunjin, Xu Ke, Qin Xinyue
Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Department of Neurology, The People's Hospital of Tongliang District, Chongqing, 402560, China.
Sci China Life Sci. 2025 Apr;68(4):1042-1056. doi: 10.1007/s11427-024-2653-2. Epub 2025 Jan 13.
Although disturbances in the gut microbiome have been implicated in multiple sclerosis (MS), little is known about the changes and interactions between the gut microbiome and blood metabolome, and how these changes affect disease-modifying therapy (DMT) in preventing the progression of MS. In this study, the structure and composition of the gut microbiota were evaluated using 16S rRNA gene sequencing and an untargeted metabolomics approach was used to compare the serum metabolite profiles from patients with relapsing-remitting MS (RRMS) and healthy controls (HCs). Results indicated that RRMS was characterized by phase-dependent α-phylogenetic diversity and significant disturbances in serum glycerophospholipid metabolism. Notably, α-phylogenetic diversity was significantly decreased in RRMS patients during the chronic phase (CMS) compared with those in the acute phase (AMS). A distinctive combination of two elevated genera (Slackia, Lactobacillus) and five glycerophospholipid metabolism-associated metabolites (four increased: GPCho(22:5/20:3), PC(18:2(9Z,12Z)/16:0), PE(16:0/18:2(9Z,12Z)), PE(18:1(11Z)/18:2(9Z,12Z)); one decreased: PS(15:0/22:1(13Z))) in RRMS patients when comparing to HCs. Moreover, a biomarker panel consisting of four microbial genera (three decreased: Lysinibacillus, Parabacteroides, UBA1819; one increased: Lachnoanaerobaculum) and two glycerophospholipid metabolism-associated metabolites (one increased: PE(P-16:0/22:6); one decreased: CL(i-12:0/i-16:0/i-17:0/i-12:0)) effectively discriminated CMS patients from AMS patients, which indicate correlation with higher disability. Additionally, DMTs appeared to attenuate MS progression by reducing UBA1819 and upregulating CL(i-12:0/i-16:0/i-17:0/i-12:0). These findings expand our understanding of the microbiome and metabolome roles in RRMS and may contribute to identifying novel diagnostic biomarkers and promising therapeutic targets.
尽管肠道微生物群紊乱与多发性硬化症(MS)有关,但对于肠道微生物群与血液代谢组之间的变化及相互作用,以及这些变化如何影响疾病改善治疗(DMT)以预防MS进展,我们了解甚少。在本研究中,使用16S rRNA基因测序评估肠道微生物群的结构和组成,并采用非靶向代谢组学方法比较复发缓解型MS(RRMS)患者和健康对照(HC)的血清代谢物谱。结果表明,RRMS的特征在于阶段依赖性α系统发育多样性以及血清甘油磷脂代谢的显著紊乱。值得注意的是,与急性期(AMS)的RRMS患者相比,慢性期(CMS)的RRMS患者α系统发育多样性显著降低。与HC相比,RRMS患者中有两个属(Slackia、乳酸杆菌属)升高和五种与甘油磷脂代谢相关的代谢物有独特组合(四种增加:甘油磷酰胆碱(22:5/20:3)、磷脂酰胆碱(18:2(9Z,12Z)/16:0)、磷脂酰乙醇胺(16:0/18:2(9Z,12Z))、磷脂酰乙醇胺(18:1(11Z)/18:2(9Z,12Z));一种减少:磷脂酰丝氨酸(15:0/22:1(13Z)))。此外,由四个微生物属(三个减少:赖氨酸芽孢杆菌属、副拟杆菌属、UBA1819;一个增加:厌氧棒状杆菌属)和两种与甘油磷脂代谢相关的代谢物(一种增加:磷脂酰乙醇胺(P-16:0/22:6);一种减少:心磷脂(i-12:0/i-16:0/i-17:0/i-12:0))组成的生物标志物组可有效区分CMS患者和AMS患者,这表明与更高的残疾程度相关。此外-DMT似乎通过减少UBA1819和上调心磷脂(i-12:0/i-16:0/i-17:0/i-12:0)来减轻MS进展。这些发现扩展了我们对RRMS中微生物群和代谢组作用的理解,并可能有助于识别新的诊断生物标志物和有前景的治疗靶点。