Evidence map›Paper›PMID 34645953›Full record

ArticlePediatric research2022

Genetic determinants of metabolic biomarkers and their associations with cardiometabolic traits in Hispanic/Latino adolescents.

Daeeun Kim, Anne E Justice, Geetha Chittoor, Estela Blanco, Raquel Burrows, Mariaelisa Graff, Annie Green Howard, Yujie Wang, Rebecca Rohde, Victoria L Buchanan and 14 more

Open access · greenAbstract read
In one paragraph

Article in Pediatric research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

24 authors at 8 institutions in 2 countries.

Daeeun KimDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Anne E JusticeDepartment of Population Health Sciences, Geisinger, Danville, PA, USA.
Geetha ChittoorDepartment of Population Health Sciences, Geisinger, Danville, PA, USA.
Estela BlancoDivision of Academic General Pediatrics, Child Development and Community Health at the Center for Community Health, University of California at San Diego, San Diego, CA, USA.
Raquel BurrowsDepartment of Public Health Nutrition, Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile.
Mariaelisa GraffDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Annie Green HowardDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Yujie WangDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Rebecca RohdeDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Victoria L BuchananDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
V Saroja VorugantiDepartment of Nutrition and Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA.
Marcio AlmeidaDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Juan PeraltaDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Donna M LehmanDepartments of Medicine and Epidemiology and Biostatistics, University of Texas Health San Antonio, San Antonio, TX, USA.
Joanne E CurranDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Anthony G ComuzzieThe Obesity Society, Silver Spring, MD, USA.
Ravindranath DuggiralaDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA.
John BlangeroDepartment of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Cecilia AlbalaDepartment of Public Health Nutrition, Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile.
José L SantosDepartment of Nutrition, Diabetes and Metabolism, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Bárbara AngelDepartment of Public Health Nutrition, Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile.
Betsy LozoffDepartment of Pediatrics, University of Michigan, Ann Arbor, MI, USA.
Sheila GahaganDivision of Academic General Pediatrics, Child Development and Community Health at the Center for Community Health, University of California at San Diego, San Diego, CA, USA.
Kari E NorthDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. kari_north@unc.edu.
University of North Carolina at Chapel Hill · USThe University of Texas Rio Grande Valley · USUniversity of Chile · CLGeisinger Health System · USPontificia Universidad Católica de Chile · CLObesity Society · USThe University of Texas at San Antonio · USUniversity of Michigan–Ann Arbor · US

Funding

PEDIGREE ANALYSIS OF LIPOPROTEIN PHENOTYPESP01HL045522 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 1991 to 2012
$27.6M
Multiethnic Study of Type 2 Diabetes GenesU01DK085526 · NIDDK · BROAD INSTITUTE, INC. · PI ALTSHULER, DAVID, JABLONSKI, KATHLEEN ANN · 2009 to 2014
$15.7M
Polygenic Risk Scores for Diverse Populations - Bridging Research and Clinical CareR01HL151152 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Christy Leigh Avery, Jennifer Below · 2020 to 2026
$12.3M
Leveraging multi-omics approaches to examine metabolic challenges of obesity in relation to cardiovascular diseasesR01HL143885 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AVERY, CHRISTY LEIGH, GORDON-LARSEN, PENNY · 2019 to 2022
$8.9M
NEUROMATURATION DELAYS IN IRON DEFICIENT ANEMIC INFANTSR01HD033487 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GAHAGAN, SHEILA, LOZOFF, BETSY · 1997 to 2016
$8.8M
Whole Genome Sequencing to Identify Causal Genetic Variants Influencing CVD RiskR01HL113323 · NHLBI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI BLANGERO, JOHN, CURRAN, JOANNE E. · 2012 to 2016
$8.2M
Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
Gene-Environment Interactions and Weight GainR01HD057194 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GORDON-LARSEN, PENNY, NORTH, KARI E. · 2008 to 2019
$5.9M
Discovery of Functional Variants in Type 2 Diabetes Genes in Mexican AmericansU01DK085524 · NIDDK · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI BLANGERO, JOHN, DEFRONZO, RALPH A · 2009 to 2019
$5.9M
Hispanic Latino Lipid ConsortiumR01HL142302 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jennifer Below, JOSEPH MCCORMICK · 2018 to 2026
$5.8M
NIDDM SUSCEPTIBILITY GENES IN MEXICAN-AMERICANSR01DK047482 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LEHMAN, DONNA M · 1993 to 2010
$5.4M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
NHGRI NIH HHS R56 HG010297NHLBI NIH HHS P01 HL045522NHLBI NIH HHS R00 HL130580NHLBI NIH HHS R01 HL088530NHLBI NIH HHS R01 HL113323NHLBI NIH HHS R01 HL142302NHLBI NIH HHS R01 HL143885NHLBI NIH HHS R01 HL151152NHLBI NIH HHS T32 HL129982NIBIB NIH HHS R01 EB015611NICHD NIH HHS R01 HD033487NICHD NIH HHS R01 HD057194NIDDK NIH HHS R01 DK047482NIDDK NIH HHS R01 DK053889NIDDK NIH HHS R01 DK089256NIDDK NIH HHS R01 DK101855NIDDK NIH HHS R01 DK122503NIDDK NIH HHS U01 DK085501NIDDK NIH HHS U01 DK085524NIDDK NIH HHS U01 DK085526NIDDK NIH HHS U01 DK085545NIDDK NIH HHS U01 DK085584NIMHD NIH HHS R01 MD012564NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

backgroundMetabolic regulation plays a significant role in energy homeostasis, and adolescence is a crucial life stage for the development of cardiometabolic disease (CMD). This study aims to investigate the genetic determinants of metabolic biomarkers-adiponectin, leptin, ghrelin, and orexin-and their associations with CMD risk factors.

methodsWe characterized the genetic determinants of the biomarkers among Hispanic/Latino adolescents of the Santiago Longitudinal Study (SLS) and identified the cumulative effects of genetic variants on adiponectin and leptin using biomarker polygenic risk scores (PRS). We further investigated the direct and indirect effect of the biomarker PRS on downstream body fat percent (BF%) and glycemic traits using structural equation modeling.

resultsWe identified putatively novel genetic variants associated with the metabolic biomarkers. A substantial amount of biomarker variance was explained by SLS-specific PRS, and the prediction was improved by including the putatively novel loci. Fasting blood insulin and insulin resistance were associated with PRS for adiponectin, leptin, and ghrelin, and BF% was associated with PRS for adiponectin and leptin. We found evidence of substantial mediation of these associations by the biomarker levels.

conclusionsThe genetic underpinnings of metabolic biomarkers can affect the early development of CMD, partly mediated by the biomarkers. IMPACT: This study characterized the genetic underpinnings of four metabolic hormones and investigated their potential influence on adiposity and insulin biology among Hispanic/Latino adolescents. Fasting blood insulin and insulin resistance were associated with polygenic risk score (PRS) for adiponectin, leptin, and ghrelin, with evidence of some degree of mediation by the biomarker levels. Body fat percent (BF%) was also associated with PRS for adiponectin and leptin. This provides important insight on biological mechanisms underlying early metabolic dysfunction and reveals candidates for prevention efforts. Our findings also highlight the importance of ancestrally diverse populations to facilitate valid studies of the genetic architecture of metabolic biomarker levels.

Indexed as

Cardiovascular DiseasesInsulin ResistanceAdiponectinAdolescentBiomarkersGhrelinHispanic or LatinoHumansInsulinLeptinLongitudinal StudiesOrexinsAdiponectinBiomarkersGhrelinInsulinLeptinOrexins

Identifiers

PMID34645953
PMCPMC9005573
OpenAlexW3207819998

What Socratic holds

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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 Socratic graph.