Evidence map›Paper›PMID 34425309›Full record

ArticleEBioMedicine2021

Mahalanobis distance, a novel statistical proxy of homeostasis loss is longitudinally associated with risk of type 2 diabetes.

Jose L Flores-Guerrero, Marco A Grzegorczyk, Margery A Connelly, Erwin Garcia, Gerjan Navis, Robin P F Dullaart, Stephan J L Bakker

Abstract read
In one paragraph

Article in EBioMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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  3. A-SIMA/A-MAP: a comprehensive toolkit for NMR-based metabolomics analysis.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jose L Flores-GuerreroDepartment of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, Groningen 9713 GZ, the Netherlands. Electronic address: j.l.flores.guerrero@umcg.nl.
Marco A GrzegorczykJohann Bernoulli Institute, University of Groningen, Groningen, the Netherlands.
Margery A ConnellyLaboratory Corporation of America Holdings (Labcorp), Morrisville, North Carolina, USA.
Erwin GarciaLaboratory Corporation of America Holdings (Labcorp), Morrisville, North Carolina, USA.
Gerjan NavisDepartment of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, Groningen 9713 GZ, the Netherlands.
Robin P F DullaartDepartment of Internal Medicine, Division of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Stephan J L BakkerDepartment of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, Groningen 9713 GZ, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe potential role of individual plasma biomarkers in the pathogenesis of type 2 diabetes (T2D) has been broadly studied, but the impact of biomarkers interaction remains underexplored. Recently, the Mahalanobis distance (MD) of plasma biomarkers has been proposed as a proxy of physiological dysregulation. Here we aimed to investigate whether the MD calculated from circulating biomarkers is prospectively associated with development of T2D.

methodsWe calculated the MD of the Principal Components (PCs) integrating the information of 32 circulating biomarkers (comprising inflammation, glycemic, lipid, microbiome and one-carbon metabolism) measured in 6247 participants of the PREVEND study without T2D at baseline. Cox proportional-hazards regression analyses were performed to study the association of MD with T2D development.

findingsAfter a median follow-up of 7·3 years, 312 subjects developed T2D. The overall MD (mean (SD)) was higher in subjects who developed T2D compared to those who did not: 35·65 (26·67) and 30.75 (27·57), respectively (P = 0·002). The highest hazard ratio (HR) was obtained using the MD calculated from the first 31 PCs (per 1 log-unit increment) (1·72 (95% CI 1·42,2·07), P < 0·001). Such associations remained after the adjustment for age, sex, plasma glucose, parental history of T2D, lipids, blood pressure medication, and BMI (HR

interpretationOur results are in line with the premise that MD represents an estimate of homeostasis loss. This study suggests that MD is able to provide information about physiological dysregulation also in the pathogenesis of T2D.

fundingThe Dutch Kidney Foundation (Grant E.033).

Indexed as

HomeostasisMetabolomeAdultAgedAgingBiomarkersData Interpretation, StatisticalDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedPrincipal Component AnalysisBiomarkersBiomarkersDysregulationHomeostasisMahalanobis distanceType 2 diabetes

Identifiers

PMID34425309
PMCPMC8379628

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.