The Underlying Changes in Serum Metabolic Profiles and Efficacy Prediction in Patients with Extensive Ulcerative Colitis Undergoing Fecal Microbiota Transplantation

被引:9
作者
Wu, Xia [1 ,2 ]
Li, Pan [1 ,2 ]
Wang, Weihong [1 ,2 ]
Xu, Jie [1 ,2 ]
Ai, Rujun [1 ,2 ]
Wen, Quan [1 ,2 ]
Cui, Bota [1 ,2 ]
Zhang, Faming [1 ,2 ]
机构
[1] Nanjing Med Univ, Affiliated Hosp 2, Med Ctr Digest Dis, Dept Microbiota Med, Nanjing 210011, Peoples R China
[2] Nanjing Med Univ, Key Lab Holist Integrat Enterol, Nanjing 210011, Peoples R China
基金
中国国家自然科学基金; 英国科研创新办公室;
关键词
washed microbiota transplantation; inflammatory bowel disease; extensive UC; refractory ulcerative colitis; serum metabolomics; machine learning; L-METHIONINE; KAPPA-B; GLUTAMINE; INFLAMMATION; PATHWAY;
D O I
10.3390/nu15153340
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
(1) Background: Fecal microbiota transplantation (FMT) is an effective treatment for ulcerative colitis (UC). Metabolomic techniques would assist physicians in clinical decision-making. (2) Methods: Patients with active UC undergoing FMT were enrolled in the study and monitored for 3 months. We explored short-term changes in the serum metabolic signatures of groups and the association between baseline serum metabolomic profiles and patient outcomes. (3) Results: Forty-four eligible patients were included in the analysis. Of them, 50.0% and 29.5% achieved clinical response and clinical remission, respectively, 3 months post-FMT. The top two significantly altered pathways in the response group were vitamin B6 metabolism and aminoacyl-tRNA biosynthesis. Both the remission and response groups exhibited an altered and enriched pathway for the biosynthesis of primary bile acid. We found a clear separation between the remission and non-remission groups at baseline, characterized by the higher levels of glycerophosphocholines, glycerophospholipids, and glycerophosphoethanolamines in the remission group. A random forest (RF) classifier was constructed with 20 metabolic markers selected by the Boruta method to predict clinical remission 3 months post-FMT, with an area under the curve of 0.963. (4) Conclusions: FMT effectively induced a response in patients with active UC, with metabolites partially improving post-FMT in the responsive group. A promising role of serum metabolites in the non-invasive prediction of FMT efficacy for UC demonstrated the value of metabolome-informed FMT in managing UC.
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页数:16
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