Integrative analysis of prognostic biomarkers derived from multiomics panels helps discrimination of chronic kidney disease trajectories in people with type 2 diabetes

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Integrative analysis of prognostic biomarkers derived from multiomics panels helps discrimination of chronic kidney disease trajectories in people with type 2 diabetes

Kammer, Michael (author): Medical University of Vienna

Heinzel, Andreas (author): Medical University of Vienna

Willency, Jill A. (author): Eli Lilly and Company

Duffin, Kevin L. (author): Eli Lilly and Company

Mayer, Gert (author): Medical University of Innsbruck

Simons, Kai (author): Lipotype GmbH

Gerl, Mathias J. (author): Lipotype GmbH

Klose, Christian (author): Lipotype GmbH

Heinze, Georg (author): Medical University of Vienna

Reindl-Schwaighofer, Roman (author): Medical University of Vienna

Hu, Karin (author): Medical University of Vienna

Perco, Paul (author): Medical University of Innsbruck

Eder, Susanne (author): Medical University of Innsbruck

Rosivall, Laszlo (author): Semmelweis University

Mark, Patrick B. (author): University of Glasgow

Ju, Wenjun (author): University of Michigan

Kretzler, Matthias (author): University of Michigan

McCarthy, Mark I. (author): University of Oxford,Wellcome Trust Centre for Human Genetics

Heerspink, Hiddo L. (author): University Medical Center Groningen

Wiecek, Andrzej (author): Medical University of Silesia

Gomez, Maria F. (author): Lund University,Lunds universitet,Diabetiska komplikationer,Forskargrupper vid Lunds universitet,Diabetic Complications,Lund University Research Groups

Oberbauer, Rainer (author): Medical University of Vienna

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Elsevier BV, 2019
2019
English.
In: Kidney International. - : Elsevier BV. - 0085-2538. ; 96:6, s. 1381-1388

Related links:: http://dx.doi.org/10...; show more...; http://eprints.gla.a...; https://lup.lub.lu.s...; https://doi.org/10.1...; show less...

Journal article (peer-reviewed)

Abstract Subject headings

Clinical risk factors explain only a fraction of the variability of estimated glomerular filtration rate (eGFR) decline in people with type 2 diabetes. Cross-omics technologies by virtue of a wide spectrum screening of plasma samples have the potential to identify biomarkers for the refinement of prognosis in addition to clinical variables. Here we utilized proteomics, metabolomics and lipidomics panel assay measurements in baseline plasma samples from the multinational PROVALID study (PROspective cohort study in patients with type 2 diabetes mellitus for VALIDation of biomarkers) of patients with incident or early chronic kidney disease (median follow-up 35 months, median baseline eGFR 84 mL/min/1.73 m2, urine albumin-to-creatinine ratio 8.1 mg/g). In an accelerated case-control study, 258 individuals with a stable eGFR course (median eGFR change 0.1 mL/min/year) were compared to 223 individuals with a rapid eGFR decline (median eGFR decline -6.75 mL/min/year) using Bayesian multivariable logistic regression models to assess the discrimination of eGFR trajectories. The analysis included 402 candidate predictors and showed two protein markers (KIM-1, NTproBNP) to be relevant predictors of the eGFR trajectory with baseline eGFR being an important clinical covariate. The inclusion of metabolomic and lipidomic platforms did not improve discrimination substantially. Predictions using all available variables were statistically indistinguishable from predictions using only KIM-1 and baseline eGFR (area under the receiver operating characteristic curve 0.63). Thus, the discrimination of eGFR trajectories in patients with incident or early diabetic kidney disease and maintained baseline eGFR was modest and the protein marker KIM-1 was the most important predictor.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Urologi och njurmedicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Urology and Nephrology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)

Keyword

biomarkers
chronic kidney disease
integrative analysis
multiomics
prognosis
type 2 diabetes

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art (subject category)
ref (subject category)

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MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Clinical Medicin ...; and Urology and Neph ...

MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Clinical Medicin ...; and Endocrinology an ...

Articles in the publication: Kidney Internati ...

By the university: Lund University

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