Evidence map›Paper›PMID 35998269›Full record

ArticleDiabetes2022

Nontargeted and Targeted Metabolomic Profiling Reveals Novel Metabolite Biomarkers of Incident Diabetes in African Americans.

Zsu-Zsu Chen, Julian Avila Pacheco, Yan Gao, Shuliang Deng, Bennet Peterson, Xu Shi, Shuning Zheng, Usman A Tahir, Daniel H Katz, Daniel E Cruz and 15 more

Open access · greenAbstract read
In one paragraph

Article in Diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 25 citations in OpenAlex.

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  13. Recent advances in precision nutrition and cardiometabolic diseases.Revista espanola de cardiologia (English ed.) · 2025
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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

25 authors at 7 institutions in 1 country.

Zsu-Zsu ChenDivision of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA.ORCID 0000-0001-9441-675X
Julian Avila PachecoBroad Institute of MIT and Harvard, Boston, MA.
Yan GaoUniversity of Mississippi Medical Center, Jacksonville, MS.
Shuliang DengDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
Bennet PetersonDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
Xu ShiDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
Shuning ZhengDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
Usman A TahirHarvard School of Medicine, Boston, MA.
Daniel H KatzDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
Daniel E CruzHarvard School of Medicine, Boston, MA.
Debby NgoHarvard School of Medicine, Boston, MA.
Mark D BensonHarvard School of Medicine, Boston, MA.
Jeremy M RobbinsHarvard School of Medicine, Boston, MA.
Xiuqing GuoThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA.
Magdalena Del Rocio Sevilla GonzalezHarvard School of Medicine, Boston, MA.
Alisa ManningHarvard School of Medicine, Boston, MA.
Adolfo CorreaUniversity of Mississippi Medical Center, Jacksonville, MS.
James B MeigsHarvard School of Medicine, Boston, MA.
Kent D TaylorThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA.
Stephen S RichUniversity of Virginia School of Medicine, Charlottesville, VA.ORCID 0000-0003-3872-7793
Mark O GoodarziDivision of Endocrinology, Diabetes, and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA.ORCID 0000-0001-6364-5103
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA.
James G WilsonDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
Clary B ClishBroad Institute of MIT and Harvard, Boston, MA.ORCID 0000-0001-8259-9245
Robert E GersztenHarvard School of Medicine, Boston, MA.ORCID 0000-0002-6767-7687
Beth Israel Deaconess Medical Center · USBoston University · USBroad Institute · USUCLA Medical Center · USUniversity of Mississippi Medical Center · USCedars-Sinai Medical Center · USUniversity of Virginia · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrea L Hevener · 2003 to 2026
$40.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Task Area A Core Study Operations.Task Area A shall encompass annual follow-up of cohort members, clinical endpoints ascertainment, study coordination activities, maintenance of the database and biosp75N92020D00001 · NHLBI · UNIVERSITY OF WASHINGTON · PI MCCLELLAND, ROBYN LEAGH · 2020 to 2025
$17.2M
Studies of Rare Genetic Variation in the Isolated Population of SardiniaR01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2013 to 2016
$10.5M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
Metabolomic predictors of insulin resistance and diabetesR01DK081572 · NIDDK · VANDERBILT UNIVERSITY · PI CLISH, CLARY B, GERSZTEN, ROBERT E · 2008 to 2025
$9.3M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
Rare variants and NHLBI traits in deeply phenotyped cohortsU01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2017 to 2018
$5.6M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00005 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WATSON, KAROL E · 2020 to 2025
$5.1M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001881NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS HHSN268201600038CNHLBI NIH HHS HHSN268201800010INHLBI NIH HHS HHSN268201800011CNHLBI NIH HHS HHSN268201800011INHLBI NIH HHS HHSN268201800012CNHLBI NIH HHS HHSN268201800012INHLBI NIH HHS HHSN268201800014CNHLBI NIH HHS HHSN268201800014INHLBI NIH HHS HHSN268201800015INHLBI NIH HHS K08 HL145095NHLBI NIH HHS K08 HL161445NHLBI NIH HHS K23 HL150327NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL120393NHLBI NIH HHS R01 HL151855NHLBI NIH HHS U01 HL120393NIDDK NIH HHS K23 DK127073NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK078616NIDDK NIH HHS R01 DK081572NIDDK NIH HHS UM1 DK078616NIEHS NIH HHS HHSN268201600032CNIMHD NIH HHS HHSN268201800013I
6 · The paper itself

Abstract

Nontargeted metabolomics methods have increased potential to identify new disease biomarkers, but assessments of the additive information provided in large human cohorts by these less biased techniques are limited. To diversify our knowledge of diabetes-associated metabolites, we leveraged a method that measures 305 targeted or "known" and 2,342 nontargeted or "unknown" compounds in fasting plasma samples from 2,750 participants (315 incident cases) in the Jackson Heart Study (JHS)-a community cohort of self-identified African Americans-who are underrepresented in omics studies. We found 307 unique compounds (82 known) associated with diabetes after adjusting for age and sex at a false discovery rate of <0.05 and 124 compounds (35 known, including 11 not previously associated) after further adjustments for BMI and fasting plasma glucose. Of these, 144 and 68 associations, respectively, replicated in a multiethnic cohort. Among these is an apparently novel isomer of the 1-deoxyceramide Cer(m18:1/24:0) with functional geonomics and high-resolution mass spectrometry. Overall, known and unknown metabolites provided complementary information (median correlation ρ = 0.29), and their inclusion with clinical risk factors improved diabetes prediction modeling. Our findings highlight the importance of including nontargeted metabolomics methods to provide new insights into diabetes development in ethnically diverse cohorts.

Indexed as

Blood GlucoseDiabetes MellitusBiomarkersBlack or African AmericanHumansMetabolomicsBiomarkersBlood Glucose

Identifiers

PMID35998269
PMCPMC9630088
OpenAlexW4292764394

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.