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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Predictive metabolomic signatures of end-stage renal disease: A multivariate analysis of population-based data

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Author(s):
Silva, Robson E. [1] ; Baldim, Joao L. [2] ; Chagas-Paula, Daniela A. [3] ; Soares, Marisi G. [3] ; Lago, Joao H. G. [2] ; Goncalves, V, Reggiani ; Novaes, Romulo D. [4]
Total Authors: 7
Affiliation:
[1] Univ Fed Alfenas, Sch Med, BR-37130001 Alfenas, MG - Brazil
[2] Fed Univ ABC, Ctr Human & Nat Sci, BR-09210580 Santo Andre, SP - Brazil
[3] Univ Fed Alfenas, Inst Chem, BR-37130001 Alfenas, MG - Brazil
[4] Univ Fed Alfenas, Inst Biomed Sci, Dept Struct Biol, Rua Gabriel Monteiro da Silva 700, BR-37130001 Alfenas, MG - Brazil
Total Affiliations: 4
Document type: Journal article
Source: Biochimie; v. 152, p. 14-30, SEP 2018.
Web of Science Citations: 1
Abstract

The variability of molecular signatures and predictive low molecular weight markers of chronic kidney disease (CKD) in different populations are poorly understood. Thus, in a large sample with 4763 people we compare the molecular signatures and metabolites with diagnostic relevance in plasma and urine of CKD patients of different geographical origins. From an integrated model based on dynamic networks and multivariate statistics, metabolites with predictive value obtained from targeted and untargeted molecular analysis, interactions between metabolic pathways affected by CKD, and the methodological quality of metabolomic studies were analyzed. The metabolites 3-methylhistidine, citrulline, kynurenine, p-cresol sulfate, urea, and citrate presented consistent expression in all population groups. Only increased kynurenine and p-cresol sulfate in plasma samples obtained acceptable scores as CKD bio-markers, independent of geographic origin. Metabolites such as leucine, alanine, isoleucine, serine, histidine, and citrate were nodal points, indicating that protein metabolism pathways are similarly impaired in Asian, European and North American patients. Based on our integrated model, we show that the metabolome of CKD patients exhibits a strong geographic influence, leading to unique metabolic signatures. Contrary to the likelihood of molecular similarities between geographically distinct populations, metabolic convergences in protein metabolism pathways and the molecules kynurenine and p-cresol sulfate were relevant as general predictors of CKD. In general, the quality assessment indicated that the current evidence is based on research models with variable methodological quality, whose limitations described in this study should be considered in the refinement of molecular approaches. (C) 2018 Elsevier B.V. and Societe Francaise de Biochimie et Biologie Moleculaire (SFBBM). All rights reserved. (AU)

FAPESP's process: 16/19269-8 - Metabolic induction guided by genomic-mining strategies in Burkholderia thailandensis for the biosynthesis of antibiotic-like natural products
Grantee:Joao Luiz Baldim Zanin
Support type: Scholarships in Brazil - Post-Doctorate