Integrative metagenomic and metabolomic analyses reveal severity-specific signatures of gut microbiota in chronic kidney disease

被引:81
|
作者
Wu, I-Wen [1 ,2 ]
Gao, Sheng-Siang [3 ]
Chou, Hsin-Cheng [3 ]
Yang, Huang-Yu [2 ,4 ,5 ]
Chang, Lun-Ching [6 ]
Kuo, Yu-Lun [7 ]
Dinh, Michael Cong Vinh [8 ]
Chung, Wen-Hung [9 ]
Yang, Chi-Wei [2 ,4 ]
Lai, Hsin-Chih [10 ,11 ,12 ,13 ]
Hsieh, Wen-Ping [3 ]
Su, Shih-Chi [9 ]
机构
[1] Chang Gung Mem Hosp, Dept Nephrol, Keelung, Taiwan
[2] Chang Gung Univ, Coll Med, Taoyuan, Taiwan
[3] Natl Tsing Hua Univ, Inst Stat, Hsinchu, Taiwan
[4] Chang Gung Mem Hosp, Kidney Res Ctr, Dept Nephrol, Linkuo, Taiwan
[5] Hopkins Bloomberg Sch Publ Hlth, Dept Hlth Policy & Management, Baltimore, MD USA
[6] Florida Atlantic Univ, Dept Math Sci, Boca Raton, FL 33431 USA
[7] Biotools Co Ltd, New Taipei, Taiwan
[8] Florida Atlantic Univ, Dept Comp Sci, Boca Raton, FL 33431 USA
[9] Chang Gung Mem Hosp, Whole Genome Res Core Lab Human Dis, 222 Mai Chin Rd, Keelung 20401, Taiwan
[10] Chang Gung Univ, Coll Med, Dept Med Biotechnol & Lab Sci, Taoyuan, Taiwan
[11] Chang Gung Univ, Coll Med, Microbiota Res Ctr, Taoyuan, Taiwan
[12] XiaMen Chang Gung Hosp, Cent Res Lab, Xiamen, Peoples R China
[13] Chang Gung Mem Hosp, Dept Lab Med, Linkuo, Taiwan
来源
THERANOSTICS | 2020年 / 10卷 / 12期
关键词
Chronic kidney disease; Gut microbiome; Serum metabolites; Short-chain fatty acid; Uremic solute; IMPACT; PREDICTION; ACIDS; WAAP;
D O I
10.7150/thno.41725
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Chronic kidney disease (CKD) is a serious healthcare dilemma, associated with specific changes in gut microbiota and circulating metabolome. Yet, the functional capacity of CKD microbiome and its intricate relationship with the host metabolism at different stages of disease are less understood. Methods: Here, shotgun sequencing of fecal samples and targeted metabolomics profiling of serum bile acids, short- and medium-chain fatty acids, and uremic solutes were performed in a cohort of CKD patients with different severities and non-CKD controls. Results: We identified that levels of 13 microbial species and 6 circulating metabolites were significantly altered across early to advanced stages or only in particular stage(s). Among these, Prevotella sp. 885 (decreased) was associated with urea excretion, while caproic acid (decreased) and p-cresyl sulfate (elevated) were positively and negatively correlated with the glomerular filtration rate, respectively. In addition, we identified gut microbial species linked to changes in circulating metabolites. Microbial genes related to secondary bile acid biosynthesis were differentially abundant at the early stage, while pathway modules related to lipid metabolism and lipopolysaccharide biosynthesis were enriched in the CKD microbiome at the advanced stage, suggesting that changes in microbial metabolism and host inflammation may contribute to renal health. Further, we identified metagenomic and metabolomic markers to discriminate cases of different severities from the controls, among which Bacteroides eggerthii individually was of particular value in early diagnosis. Conclusions: Our dual-omics data reveal the connections between intestinal microbes and circulating metabolites perturbed in CKD, which may be of etiological and diagnostic importance.
引用
收藏
页码:5398 / 5411
页数:14
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