Evidence map›Paper›PMID 39497627›Full record

ArticleObesity (Silver Spring, Md.)2024

Machine learning-based clustering identifies obesity subgroups with differential multi-omics profiles and metabolic patterns.

Mohammad Y Anwar, Heather Highland, Victoria Lynn Buchanan, Mariaelisa Graff, Kristin Young, Kent D Taylor, Russell P Tracy, Peter Durda, Yongmei Liu, Craig W Johnson and 16 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Obesity (Silver Spring, Md.), 2024. 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
–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

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.

  1. Article
  2. Article
  3. Article
  4. Review
  5. [Innovative Practices of Precision Nutrition in Obesity Intervention: From Theory to Application].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Article
  6. Review
  7. Review
  8. Article
  9. Review
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

26 authors.

Mohammad Y AnwarDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0002-2349-8214
Heather HighlandDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Victoria Lynn BuchananDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Mariaelisa GraffDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Kristin YoungDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
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, California, USA.
Russell P TracyDepartment of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
Peter DurdaDepartment of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
Yongmei LiuDepartment of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Craig W JohnsonDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.
Francois AguetProgram of Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Kristin G ArdlieProgram of Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Robert E GersztenCardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Clary B ClishMetabolite Profiling Platform, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Leslie A LangeDepartment of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Jingzhong DingSection of Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Mark O GoodarziDivision of Endocrinology, Diabetes, and Metabolism, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Yii-Der Ida ChenThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA.
Gina M PelosoDepartment of Biostatistics, Boston University School of Public Health, Boston University, Boston, Massachusetts, USA.
Xiuqing GuoThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA.
Maggie A StanislawskiDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
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, California, USA.
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA.ORCID https://orcid.org/0000-0003-3872-7793
Anne E JusticeDepartment of Population Health Sciences, Geisinger Health System, Danville, Pennsylvania, USA.
Ching-Ti LiuDepartment of Biostatistics, Boston University School of Public Health, Boston University, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-0703-0742
Kari NorthDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Funding

Large Scale Sequencing and Analysis of GenomesU54HG003067 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY, LANDER, ERIC S · 2004 to 2015
$568.6M
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 MILES Frome WILKINSON · 2003 to 2026
$40.4M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
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
ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Elizabeth Austen Lawson, Takara Leah Stanley · 1994 to 2026
$31.6M
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
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
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
Eunice Kennedy Shriver National Institute of Child Health and Human Development R01HD057194NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001881NHGRI NIH HHS R01 HG009974NHGRI NIH HHS R01HG009974NHGRI NIH HHS R01 HG010297NHGRI NIH HHS R01HG010297NHGRI NIH HHS R01 HG011345NHGRI NIH HHS R01HG011345NHGRI NIH HHS R56 HG010297NHGRI NIH HHS U54 HG003067NHLBI NIH HHS 3R01HL-117626-02S1NHLBI NIH HHS 3R01HL-120393-02S1NHLBI NIH HHS 3U54HG003067-13S1NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS DK063491NHLBI NIH HHS HHSN2682015000031NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS HSN26800004NHLBI 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 N01-HC-95159NHLBI NIH HHS N01-HC-95160NHLBI NIH HHS N01-HC-95161NHLBI NIH HHS N01-HC-95162NHLBI NIH HHS N01-HC-95163NHLBI NIH HHS N01-HC-95164NHLBI NIH HHS N01-HC-95165NHLBI NIH HHS N01-HC-95166NHLBI NIH HHS N01-HC-95167NHLBI NIH HHS N01-HC-95168NHLBI NIH HHS N01-HC-95169NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01HL105756NHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL120393NHLBI NIH HHS R01 HL142302NHLBI NIH HHS R01HL142302NHLBI NIH HHS R01 HL143885NHLBI NIH HHS R01HL143885NHLBI NIH HHS R01 HL151152NHLBI NIH HHS R01HL151152NHLBI NIH HHS R01 HL163262NHLBI NIH HHS UL1-TR-000040NHLBI NIH HHS UL1-TR-001079NHLBI NIH HHS UL1-TR-001420NHLBI NIH HHS UL1TR001881NICHD NIH HHS R01 HD057194NIDDK NIH HHS 3R01DK122503-02W1NIDDK NIH HHS P30 DK040561NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK101855NIDDK NIH HHS R01DK101855NIDDK NIH HHS R01 DK122503NIDDK NIH HHS R01 DK139598NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

objectiveIndividuals living with obesity are differentially susceptible to cardiometabolic diseases. We hypothesized that an integrative multi-omics approach might improve identification of subgroups of individuals with obesity who have distinct cardiometabolic disease patterns.

methodsWe performed machine learning-based, integrative unsupervised clustering to identify proteomics- and metabolomics-defined subpopulations of individuals living with obesity (BMI ≥ 30 kg/m

resultsWe identified two distinct clusters (iCluster1 and 2). iCluster2 had significantly higher average BMI values, fasting blood glucose, and inflammation. iCluster1 was associated with higher levels of total cholesterol and high-density lipoprotein cholesterol. Pathways mediating cell growth, lipogenesis, and energy expenditures were positively associated with iCluster1. Inflammatory response and insulin resistance pathways were positively associated with iCluster2.

conclusionsAlthough the two identified clusters may represent progressive obesity-related pathologic processes measured at different stages, other mechanisms in combination could also underpin the identified clusters given no significant age difference between the comparative groups. For instance, clusters may reflect differences in dietary/behavioral patterns or differential rates of metabolic damage.

Indexed as

Machine LearningObesityAgedAged, 80 and overBlood GlucoseBody Mass IndexCluster AnalysisFemaleHumansInflammationInsulin ResistanceMaleMetabolomicsMiddle AgedMultiomicsProteomicsBlood Glucose

Identifiers

PMID39497627
PMCPMC11540333

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.