Evidence map›Paper›PMID 35696261›Full record

ArticleDiabetes care2022

Serum Orotidine: A Novel Biomarker of Increased CVD Risk in Type 2 Diabetes Discovered Through Metabolomics Studies.

Hetal S Shah, Lorena Ortega Moreno, Mario Luca Morieri, Yaling Tang, Christine Mendonca, Jenny Marie Jobe, Jonathan B Thacker, Joanna Mitri, Stefano Monti, Monika A Niewczas and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 29% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 3 countries.

Hetal S ShahSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA.ORCID 0000-0002-3685-4572
Lorena Ortega MorenoDepartment of Basic Health Sciences, Universidad Rey Juan Carlos, Alcorcón, Spain.
Mario Luca MorieriDepartment of Medicine, University of Padova, Padova, Italy.ORCID 0000-0001-6864-0547
Yaling TangSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA.
Christine MendoncaSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA.
Jenny Marie JobeSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA.
Jonathan B ThackerDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
Joanna MitriDepartment of Medicine, Harvard Medical School, Boston, MA.
Stefano MontiComputational Biomedicine, Department of Medicine, Boston University, Boston, MA.
Monika A NiewczasSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA.ORCID 0000-0003-2371-595X
Subramaniam PennathurDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
Alessandro DoriaSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA.ORCID 0000-0002-3830-4304
Joslin Diabetes Center · USUniversity of Michigan · USBoston University · USHarvard University · USUniversidad Rey Juan Carlos · ESUniversity of Padua · IT

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID P OLSON · 2013 to 2026
$24.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Karen Eileen Peterson · 2010 to 2026
$20.3M
Integrated Systems Biology Approach to Diabetic Microvascular ComplicationsR24DK082841 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABCOUWER, STEVEN F, BROSIUS, FRANK C · 2008 to 2020
$13.1M
University of Michigan O'Brien Kidney Translational Core CenterP30DK081943 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PENNATHUR, SUBRAMANIAM · 2008 to 2022
$12.9M
Metabolic pathways of increased cardiovascular risk in type 2 diabetesR01HL132254 · NHLBI · JOSLIN DIABETES CENTER · PI DORIA, ALESSANDRO · 2016 to 2019
$3.2M
Understanding the role of the Complement Proteome in progressive Diabetic Kidney DiseaseR01DK123459 · NIDDK · JOSLIN DIABETES CENTER · PI NIEWCZAS, MONIKA ANNA · 2020 to 2024
$2.3M
NHLBI NIH HHS R01 HL132254NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK036836NIDDK NIH HHS P30 DK081943NIDDK NIH HHS P30 DK089503NIDDK NIH HHS R01 DK123459NIDDK NIH HHS R24 DK082841
6 · The paper itself

Abstract

objectiveTo identify novel biomarkers of cardiovascular disease (CVD) risk in type 2 diabetes (T2D) via a hypothesis-free global metabolomics study, while taking into account renal function, an important confounder often overlooked in previous metabolomics studies of CVD. RESEARCH DESIGN AND

methodsWe conducted a global serum metabolomics analysis using the Metabolon platform in a discovery set from the Joslin Kidney Study having a nested case-control design comprising 409 individuals with T2D. Logistic regression was applied to evaluate the association between incident CVD events and each of the 671 metabolites detected by the Metabolon platform, before and after adjustment for renal function and other CVD risk factors. Significant metabolites were followed up with absolute quantification assays in a validation set from the Joslin Heart Study including 599 individuals with T2D with and without clinical evidence of significant coronary heart disease (CHD).

resultsIn the discovery set, serum orotidine and 2-piperidinone were significantly associated with increased odds of incident CVD after adjustment for glomerular filtration rate (GFR) (odds ratio [OR] per SD increment 1.94 [95% CI 1.39-2.72], P = 0.0001, and 1.62 [1.26-2.08], P = 0.0001, respectively). Orotidine was also associated with increased odds of CHD in the validation set (OR 1.39 [1.11-1.75]), while 2-piperidinone did not replicate. Furthermore, orotidine, being inversely associated with GFR, mediated 60% of the effects of declining renal function on CVD risk. Addition of orotidine to established clinical predictors improved (P < 0.05) C statistics and discrimination indices for CVD risk (ΔAUC 0.053, rIDI 0.48, NRI 0.42) compared with the clinical predictors alone.

conclusionsThrough a robust metabolomics approach, with independent validation, we have discovered serum orotidine as a novel biomarker of increased odds of CVD in T2D, independent of renal function. Additionally, orotidine may be a biological mediator of the increased CVD risk associated with poor kidney function and may help improve CVD risk prediction in T2D.

Indexed as

Cardiovascular DiseasesCoronary DiseaseDiabetes Mellitus, Type 2BiomarkersHumansMetabolomicsProspective StudiesRisk FactorsUridineBiomarkersorotidineUridine

Identifiers

PMID35696261
PMCPMC9346986
OpenAlexW4282549296

What OpenQuestion holds

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Registered trials

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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.