Evidence map›Paper›PMID 36706097›Full record

ArticleDiabetes care2023

Proteomic Predictors of Incident Diabetes: Results From the Atherosclerosis Risk in Communities (ARIC) Study.

Mary R Rooney, Jingsha Chen, Justin B Echouffo-Tcheugui, Keenan A Walker, Pascal Schlosser, Aditya Surapaneni, Olive Tang, Jinyu Chen, Christie M Ballantyne, Eric Boerwinkle and 12 more

Open access · greenAbstract read
In one paragraph

Article in Diabetes care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
11.9field-weighted citation impact, top 1% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 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

22 authors at 9 institutions in 2 countries.

Mary R RooneyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0002-5607-4848
Jingsha ChenDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Justin B Echouffo-TcheuguiWelch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0002-8460-1617
Keenan A WalkerLaboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, MD.
Pascal SchlosserDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Aditya SurapaneniDivision of Precision Medicine, New York University Grossman School of Medicine, New York, NY.
Olive TangDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0002-8075-1298
Jinyu ChenDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Christie M BallantyneDepartment of Medicine, Baylor College of Medicine, Houston, TX.
Eric BoerwinkleDepartment of Epidemiology, Human Genetics and Environmental Science, University of Texas Health Science Center, Houston, TX.
Chiadi E NdumeleDepartment of Cardiology, Johns Hopkins University, Baltimore, MD.ORCID 0000-0002-1603-282X
Ryan T DemmerDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.
James S PankowDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.
Pamela L LutseyDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.
Lynne E WagenknechtDivision of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC.
Yujian LiangSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Xueling SimSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0002-1233-7642
Rob van DamDepartment of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington DC.
E Shyong TaiDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0003-2929-8966
Morgan E GramsDivision of Precision Medicine, New York University Grossman School of Medicine, New York, NY.
Elizabeth SelvinDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0001-6923-7151
Josef CoreshDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Johns Hopkins University · USNational University of Singapore · SGUniversity of Minnesota · USNew York University · USBaylor College of Medicine · USMilken Institute · USNational Institute on Aging · USThe University of Texas Health Science Center at Houston · USWake Forest University · US

Funding

Genome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2M
CARDIOVASCULAR EPIDEMIOLOGY INSTITUTIONAL TRAININGT32HL007024 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Elizabeth Selvin · 1985 to 2026
$17.5M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - COORDINATING CENTER - TASK AREA B.2 AND B.375N92022D00001 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID · 2022 to 2025
$13.7M
Medical Scientist Training ProgramT32GM136577 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ANDREA L COX · 2020 to 2026
$13.4M
Diabetes and Prediabetes in Older Adults in ARICR01DK089174 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2011 to 2020
$6.4M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00003 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2022 to 2025
$5.1M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00005 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE E · 2022 to 2025
$5.0M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00004 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI WINDHAM, BEVERLY GWEN · 2022 to 2025
$4.8M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00002 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF · 2022 to 2025
$4.7M
Elucidating the Role of Adipokines in Mediating and Predicting HF Associated with ObesityR01HL146907 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI NDUMELE, CHIADI E · 2019 to 2023
$4.0M
Genome-Wide Association for Loci Influencing CHD and Other Heart, Lung and BloodR01HL087641 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2006 to 2008
$3.7M
Integrative Omics, Chronic Kidney Disease, and Adverse Outcomes in Older AdultsR01DK124399 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, Morgan Erika Grams · 2020 to 2026
$3.6M
NHGRI NIH HHS U01 HG004402NHLBI NIH HHS 75N92022D00001NHLBI NIH HHS 75N92022D00002NHLBI NIH HHS 75N92022D00003NHLBI NIH HHS 75N92022D00004NHLBI NIH HHS 75N92022D00005NHLBI NIH HHS K23 HL153774NHLBI NIH HHS K24 HL152440NHLBI NIH HHS K24 HL155861NHLBI NIH HHS K24 HL159246NHLBI NIH HHS R01 HL086694NHLBI NIH HHS R01 HL087641NHLBI NIH HHS R01 HL146907NHLBI NIH HHS T32 HL007024NIDDK NIH HHS R01 DK089174NIDDK NIH HHS R01 DK124399NIGMS NIH HHS T32 GM136577
6 · The paper itself

Abstract

objectiveThe plasma proteome preceding diabetes can improve our understanding of diabetes pathogenesis. RESEARCH DESIGN AND

methodsIn 8,923 Atherosclerosis Risk in Communities (ARIC) Study participants (aged 47-70 years, 57% women, 19% Black), we conducted discovery and internal validation for associations of 4,955 plasma proteins with incident diabetes. We externally validated results in the Singapore Multi-Ethnic Cohort (MEC) nested case-control (624 case subjects, 1,214 control subjects). We used Cox regression to discover and validate protein associations and risk-prediction models (elastic net regression with cardiometabolic risk factors and proteins) for incident diabetes. We conducted a pathway analysis and examined causality using genetic instruments.

resultsThere were 2,147 new diabetes cases over a median of 19 years. In the discovery sample (n = 6,010), 140 proteins were associated with incident diabetes after adjustment for 11 risk factors (P < 10-5). Internal validation (n = 2,913) showed 64 of the 140 proteins remained significant (P < 0.05/140). Of the 63 available proteins, 47 (75%) were validated in MEC. Novel associations with diabetes were found for 22 the 47 proteins. Prediction models (27 proteins selected by elastic net) developed in discovery had a C statistic of 0.731 in internal validation, with ΔC statistic of 0.011 (P = 0.04) beyond 13 risk factors, including fasting glucose and HbA1c. Inflammation and lipid metabolism pathways were overrepresented among the diabetes-associated proteins. Genetic instrument analyses suggested plasma SHBG, ATP1B2, and GSTA1 play causal roles in diabetes risk.

conclusionsWe identified 47 plasma proteins predictive of incident diabetes, established causal effects for 3 proteins, and identified diabetes-associated inflammation and lipid pathways with potential implications for diagnosis and therapy.

Indexed as

AtherosclerosisDiabetes MellitusFemaleHumansIncidenceInflammationMaleProteomicsRisk Factors

Identifiers

PMID36706097
PMCPMC10090896
OpenAlexW4318250042

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.