Landscapes of gut microbiome and blood metabolomic signatures in relapsing remitting multiple sclerosis

被引:0
|
作者
Feng, Jinzhou [1 ]
Tang, Shi [2 ]
Yang, Xiaolin [1 ]
Zhang, Mengjie [1 ]
Li, Zhizhong [1 ]
Zhang, Shaoru [1 ]
Han, Yongliang [3 ]
Li, Yongmei [3 ]
Monnier, Philippe P. [4 ]
Yu, Gang [1 ]
Zheng, Peng [1 ,5 ]
Zhang, Cunjin [6 ]
Xu, Ke [1 ,5 ]
Qin, Xinyue [1 ]
机构
[1] Chongqing Med Univ, Affiliated Hosp 1, Dept Neurol, Chongqing 400016, Peoples R China
[2] Peoples Hosp Tongliang Dist, Dept Neurol, Chongqing 402560, Peoples R China
[3] Chongqing Med Univ, Affiliated Hosp 1, Dept Radiol, Chongqing 400016, Peoples R China
[4] Univ Toronto, Fac Med, Dept Physiol, Toronto, ON M5S 1A8, Canada
[5] Chongqing Med Univ, Affiliated Hosp 1, Natl Hlth Commiss, Key Lab Diag & Treatment Brain Funct Dis, Chongqing 400016, Peoples R China
[6] Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Dept Neurol, Chengdu 611731, Peoples R China
来源
SCIENCE CHINA-LIFE SCIENCES | 2025年
基金
美国国家科学基金会; 中国博士后科学基金;
关键词
relapsing remitting multiple sclerosis; gut microbiota; 16S rRNA gene sequence; untargeted metabolomics; lipid metabolism; biomarker; AUTOIMMUNE ENCEPHALOMYELITIS; MS;
D O I
10.1007/s11427-024-2653-2
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 alpha-phylogenetic diversity and significant disturbances in serum glycerophospholipid metabolism. Notably, alpha-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.
引用
收藏
页码:1042 / 1056
页数:15
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