Literature DB >> 32271379

Plasma Metabolomics Identifies Markers of Impaired Renal Function: A Meta-analysis of 3089 Persons with Type 2 Diabetes.

Nete Tofte1, Nicole Vogelzangs2,3, Dennis Mook-Kanamori4, Adela Brahimaj5,6, Jana Nano5,7,8, Fariba Ahmadizar5, Ko Willems van Dijk9, Marie Frimodt-Møller1, Ilja Arts2,3, Joline W J Beulens10, Femke Rutters10, Amber A van der Heijden11, Maryam Kavousi5, Coen D A Stehouwer3,12, Giel Nijpels11, Marleen M J van Greevenbroek3,12, Carla J H van der Kallen3,12, Peter Rossing1,13, Tarunveer S Ahluwalia1, Leen M 't Hart10,14.   

Abstract

CONTEXT: There is a need for novel biomarkers and better understanding of the pathophysiology of diabetic kidney disease.
OBJECTIVE: To investigate associations between plasma metabolites and kidney function in people with type 2 diabetes (T2D).
DESIGN: 3089 samples from individuals with T2D, collected between 1999 and 2015, from 5 independent Dutch cohort studies were included. Up to 7 years follow-up was available in 1100 individuals from 2 of the cohorts. MAIN OUTCOME MEASURES: Plasma metabolites (n = 149) were measured by nuclear magnetic resonance spectroscopy. Associations between metabolites and estimated glomerular filtration rate (eGFR), urinary albumin-to-creatinine ratio (UACR), and eGFR slopes were investigated in each study followed by random effect meta-analysis. Adjustments included traditional cardiovascular risk factors and correction for multiple testing.
RESULTS: In total, 125 metabolites were significantly associated (PFDR = 1.5×10-32 - 0.046; β = -11.98-2.17) with eGFR. Inverse associations with eGFR were demonstrated for branched-chain and aromatic amino acids (AAAs), glycoprotein acetyls, triglycerides (TGs), lipids in very low-density lipoproteins (VLDL) subclasses, and fatty acids (PFDR < 0.03). We observed positive associations with cholesterol and phospholipids in high-density lipoproteins (HDL) and apolipoprotein A1 (PFDR < 0.05). Albeit some metabolites were associated with UACR levels (P < 0.05), significance was lost after correction for multiple testing. Tyrosine and HDL-related metabolites were positively associated with eGFR slopes before adjustment for multiple testing (PTyr = 0.003; PHDLrelated < 0.05), but not after.
CONCLUSIONS: This study identified metabolites associated with impaired kidney function in T2D, implying involvement of lipid and amino acid metabolism in the pathogenesis. Whether these processes precede or are consequences of renal impairment needs further investigation. © Endocrine Society 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  NMR; albuminuria; meta-analysis; metabolomics; renal function

Mesh:

Substances:

Year:  2020        PMID: 32271379     DOI: 10.1210/clinem/dgaa173

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  11 in total

1.  A Targeted Multiomics Approach to Identify Biomarkers Associated with Rapid eGFR Decline in Type 1 Diabetes.

Authors:  Christine P Limonte; Erkka Valo; Daniel Montemayor; Farsad Afshinnia; Tarunveer S Ahluwalia; Tina Costacou; Manjula Darshi; Carol Forsblom; Andrew N Hoofnagle; Per-Henrik Groop; Rachel G Miller; Trevor J Orchard; Subramaniam Pennathur; Peter Rossing; Niina Sandholm; Janet K Snell-Bergeon; Hongping Ye; Jing Zhang; Loki Natarajan; Ian H de Boer; Kumar Sharma
Journal:  Am J Nephrol       Date:  2020-10-14       Impact factor: 3.754

2.  Plasma levels of carboxylic acids are markers of early kidney dysfunction in young people with type 1 diabetes.

Authors:  Timothy Vigers; Carissa Vinovskis; Lu-Ping Li; Pottumarthi Prasad; Hiddo Heerspink; Angelo D'Alessandro; Julie A Reisz; Federica Piani; David Z Cherney; Daniel H van Raalte; Kristen J Nadeau; Meda E Pavkov; Robert G Nelson; Laura Pyle; Petter Bjornstad
Journal:  Pediatr Nephrol       Date:  2022-05-04       Impact factor: 3.714

3.  Amanida: An R package for Meta-analysis of metabolomics non-integral data.

Authors:  Llambrich Maria; Correig Eudald; Gumà Josep; Brezmes Jesús; Cumeras Raquel
Journal:  Bioinformatics       Date:  2021-08-18       Impact factor: 6.937

4.  Metabolite Signature of Albuminuria Involves Amino Acid Pathways in 8661 Finnish Men Without Diabetes.

Authors:  Lilian Fernandes Silva; Jagadish Vangipurapu; Ulf Smith; Markku Laakso
Journal:  J Clin Endocrinol Metab       Date:  2021-01-01       Impact factor: 5.958

5.  Weighted gene co-expression network analysis identifies FCER1G as a key gene associated with diabetic kidney disease.

Authors:  Shanshan Liu; Cuili Wang; Huiying Yang; Tingting Zhu; Hong Jiang; Jianghua Chen
Journal:  Ann Transl Med       Date:  2020-11

Review 6.  Metabolomics in Diabetes and Diabetic Complications: Insights from Epidemiological Studies.

Authors:  Qiao Jin; Ronald Ching Wan Ma
Journal:  Cells       Date:  2021-10-21       Impact factor: 6.600

7.  Association of Coronary Artery Disease and Metabolic Syndrome: Usefulness of Serum Metabolomics Approach.

Authors:  Ziwei Jing; Liwei Liu; Yingying Shi; Qiuzheng Du; Dingding Zhang; Lihua Zuo; Shuzhang Du; Zhi Sun; Xiaojian Zhang
Journal:  Front Endocrinol (Lausanne)       Date:  2021-09-24       Impact factor: 5.555

Review 8.  Chronic Kidney Disease Cohort Studies: A Guide to Metabolome Analyses.

Authors:  Ulla T Schultheiss; Robin Kosch; Fruzsina Kotsis; Michael Altenbuchinger; Helena U Zacharias
Journal:  Metabolites       Date:  2021-07-16

Review 9.  Integrative Biology of Diabetic Retinal Disease: Lessons from Diabetic Kidney Disease.

Authors:  Warren W Pan; Thomas W Gardner; Jennifer L Harder
Journal:  J Clin Med       Date:  2021-03-18       Impact factor: 4.241

10.  Association of Kidney Function With NMR-Quantified Lipids, Lipoproteins, and Metabolic Measures in Mexican Adults.

Authors:  Diego Aguilar-Ramirez; Jesus Alegre-Díaz; William G Herrington; Natalie Staplin; Raúl Ramirez-Reyes; Louisa Gnatiuc; Michael Hill; Frederik Romer; Jason Torres; Eirini Trichia; Rachel Wade; Rory Collins; Jonathan R Emberson; Pablo Kuri-Morales; Roberto Tapia-Conyer
Journal:  J Clin Endocrinol Metab       Date:  2021-09-27       Impact factor: 5.958

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