Comparison of fecal and blood metabolome reveals inconsistent associations of the gut microbiota with cardiometabolic diseases

被引:38
作者
Deng, Kui [1 ,2 ,3 ,4 ]
Xu, Jin-jian [1 ]
Shen, Luqi [2 ,3 ,4 ]
Zhao, Hui [2 ,3 ,4 ]
Gou, Wanglong [2 ,3 ,4 ]
Xu, Fengzhe [2 ,3 ,4 ]
Fu, Yuanqing [2 ,3 ,4 ]
Jiang, Zengliang [2 ,3 ,4 ]
Shuai, Menglei [2 ,3 ,4 ]
Li, Bang-yan [1 ]
Hu, Wei [1 ]
Zheng, Ju-Sheng [2 ,3 ,4 ]
Chen, Yu-ming [1 ]
机构
[1] Sun Yat Sen Univ, Sch Publ Hlth, Dept Epidemiol, Guangdong Prov Key Lab Food Nutr & Hlth, Guangzhou 510080, Peoples R China
[2] Westlake Lab Life Sci & Biomed, Westlake Intelligent Biomarker Discovery Lab, Hangzhou 310024, Peoples R China
[3] Westlake Univ, Sch Life Sci, Key Lab Growth Regulat & Translat Res Zhejiang Pr, Hangzhou 310024, Peoples R China
[4] Westlake Inst Adv Study, Inst Basic Med Sci, Hangzhou 310024, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
METACYC DATABASE; GUIDELINES; PATHWAYS; RISK; ACID;
D O I
10.1038/s41467-023-36256-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Blood metabolome is commonly used in human studies to explore the associations of gut microbiota-derived metabolites with cardiometabolic diseases. Here, in a cohort of 1007 middle-aged and elderly adults with matched fecal metagenomic (149 species and 214 pathways) and paired fecal and blood targeted metabolomics data (132 metabolites), we find disparate associations with taxonomic composition and microbial pathways when using fecal or blood metabolites. For example, we observe that fecal, but not blood butyric acid significantly associates with both gut microbiota and prevalent type 2 diabetes. These findings are replicated in an independent validation cohort involving 103 adults. Our results suggest that caution should be taken when inferring microbiome-cardiometabolic disease associations from either blood or fecal metabolome data. Here, analyzing paired fecal and blood metabolomics and metagenomics data in a large cohort, Deng et al. uncover disparate associations of the gut microbiota with cardiometabolic diseases when utilizing either fecal or blood metabolome data, suggesting that sampling criteria may be a relevant factor in metabolomics-based association studies.
引用
收藏
页数:12
相关论文
共 56 条
  • [1] Metabolic Reconstruction for Metagenomic Data and Its Application to the Human Microbiome
    Abubucker, Sahar
    Segata, Nicola
    Goll, Johannes
    Schubert, Alyxandria M.
    Izard, Jacques
    Cantarel, Brandi L.
    Rodriguez-Mueller, Beltran
    Zucker, Jeremy
    Thiagarajan, Mathangi
    Henrissat, Bernard
    White, Owen
    Kelley, Scott T.
    Methe, Barbara
    Schloss, Patrick D.
    Gevers, Dirk
    Mitreva, Makedonka
    Huttenhower, Curtis
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2012, 8 (06)
  • [2] Gut microbiota-derived metabolites as central regulators in metabolic disorders
    Agus, Allison
    Clement, Karine
    Sokol, Harry
    [J]. GUT, 2021, 70 (06) : 1174 - 1182
  • [3] Amer Diabet Assoc, 2011, DIABETES CARE, V34, pS11, DOI [10.2337/dc14-S081, 10.2337/dc11-S011, 10.2337/dc13-S011, 10.2337/dc11-S062, 10.2337/dc10-S062, 10.2337/dc13-S067, 10.2337/dc10-S011, 10.2337/dc12-s011, 10.2337/dc12-s064]
  • [4] A reference map of potential determinants for the human serum metabolome
    Bar, Noam
    Korem, Tal
    Weissbrod, Omer
    Zeevi, David
    Rothschild, Daphna
    Leviatan, Sigal
    Kosower, Noa
    Lotan-Pompan, Maya
    Weinberger, Adina
    Le Roy, Caroline I.
    Menni, Cristina
    Visconti, Alessia
    Falchi, Mario
    Spector, Tim D.
    Adamski, Jerzy
    Franks, Paul W.
    Pedersen, Oluf
    Segal, Eran
    [J]. NATURE, 2020, 588 (7836) : 135 - 140
  • [5] Gut metagenomic and short chain fatty acids signature in hypertension: a cross-sectional study
    Calderon-Perez, Lorena
    Gosalbes, Maria Jose
    Yuste, Silvia
    Valls, Rosa M.
    Pedret, Anna
    Llaurado, Elisabet
    Jimenez-Hernandez, Nuria
    Artacho, Alejandro
    Pla-Paga, Laura
    Companys, Judit
    Ludwig, Iziar
    Romero, Maria-Paz
    Rubio, Laura
    Sola, Rosa
    [J]. SCIENTIFIC REPORTS, 2020, 10 (01)
  • [6] Association of magnesium in serum and urine with carotid intima-media thickness and serum lipids in middle-aged and elderly Chinese: a community-based cross-sectional study
    Cao, Yi
    Wang, Cheng
    Guan, Ke
    Xu, Ying
    Su, Yi-xiang
    Chen, Yu-ming
    [J]. EUROPEAN JOURNAL OF NUTRITION, 2016, 55 (01) : 219 - 226
  • [7] The MetaCyc database of metabolic pathways and enzymes
    Caspi, Ron
    Billington, Richard
    Fulcher, Carol A.
    Keseler, Ingrid M.
    Kothari, Anamika
    Krummenacker, Markus
    Latendresse, Mario
    Midford, Peter E.
    Ong, Quang
    Ong, Wai Kit
    Paley, Suzanne
    Subhraveti, Pallavi
    Karp, Peter D.
    [J]. NUCLEIC ACIDS RESEARCH, 2018, 46 (D1) : D633 - D639
  • [8] The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases
    Caspi, Ron
    Billington, Richard
    Ferrer, Luciana
    Foerster, Hartmut
    Fulcher, Carol A.
    Keseler, Ingrid M.
    Kothari, Anamika
    Krummenacker, Markus
    Latendresse, Mario
    Mueller, Lukas A.
    Ong, Quang
    Paley, Suzanne
    Subhraveti, Pallavi
    Weaver, Daniel S.
    Karp, Peter D.
    [J]. NUCLEIC ACIDS RESEARCH, 2016, 44 (D1) : D471 - D480
  • [9] Link between gut-microbiome derived metabolite and shared gene-effects with hepatic steatosis and fibrosis in NAFLD
    Caussy, Cyrielle
    Hsu, Cynthia
    Lo, Min-Tzu
    Liu, Amy
    Bettencourt, Ricki
    Ajmera, Veeral H.
    Bassirian, Shirin
    Hooker, Jonathan
    Sy, Ethan
    Richards, Lisa
    Schork, Nicholas
    Schnabl, Bernd
    Brenner, David A.
    Sirlin, Claude B.
    Chen, Chi-Hua
    Loomba, Rohit
    [J]. HEPATOLOGY, 2018, 68 (03) : 918 - 932
  • [10] Chalmers J, 1999, CLIN EXP HYPERTENS, V21, P1009