Evidence map›Paper›PMID 33885739›Full record

ReviewAdvances in nutrition (Bethesda, Md.)2021

Synergizing Mouse and Human Studies to Understand the Heterogeneity of Obesity.

Penny Gordon-Larsen, John E French, Naima Moustaid-Moussa, Venkata S Voruganti, Elizabeth J Mayer-Davis, Christopher A Bizon, Zhiyong Cheng, Delisha A Stewart, John W Easterbrook, Saame Raza Shaikh

Abstract readReview
In one paragraph

Review in Advances in nutrition (Bethesda, Md.), 2021. 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
–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

19 citing papers in PubMed.

  1. Trial
  2. Article
  3. Artificial Intelligence Across the Drug Development Lifecycle.Medical sciences (Basel, Switzerland) · 2026
    Review
  4. Sex-specific systemic metabolic predictors of resistance to calorie restriction-induced weight loss in obese diversity outbred mice.American journal of physiology. Regulatory, integrative and comparative physiology · 2025
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Modeling human heterogeneity of obesity with diversity outbred mice reveals a fat mass-dependent therapeutic window for resolvin E1.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. 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

10 authors.

Penny Gordon-LarsenDepartment of Nutrition, Gillings School of Global Public Health and School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
John E FrenchDepartment of Nutrition, Gillings School of Global Public Health and School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Naima Moustaid-MoussaObesity Research Institute and Department of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA.ORCID 0000-0002-7508-8030
Venkata S VorugantiDepartment of Nutrition, Gillings School of Global Public Health and School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Elizabeth J Mayer-DavisDepartment of Nutrition, Gillings School of Global Public Health and School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Christopher A BizonRenaissance Computing Institute, University of North Carolina at Chapel Hill, NC, USA.
Zhiyong ChengFood Science and Human Nutrition Department, University of Florida, Gainesville, FL, USA.
Delisha A StewartDepartment of Nutrition, Gillings School of Global Public Health and School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
John W EasterbrookDepartment of Nutrition, Gillings School of Global Public Health and School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0001-7290-6926
Saame Raza ShaikhDepartment of Nutrition, Gillings School of Global Public Health and School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0003-1950-2521

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Venkata Saroja Voruganti · 1999 to 2026
$31.6M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
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
Higher Dietary Carbohydrates Detrimentally Impact Obesity-Associated Breast Cancer ChemoresistanceR35CA197627 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HURSTING, STEPHEN D · 2015 to 2021
$6.0M
Biomedical Data Translator Technical Feasibility Assessment of Reasoning Tool: University of North Carolina at Chapel HillOT2TR002514 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TROPSHA, ALEXANDER · 2018 to 2019
$2.0M
Suppressing inflammation and boosting humoral immunity with n-3 PUFAsR01AT008375 · NCCIH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHAIKH, SAAME R · 2015 to 2019
$1.9M
Anti-obesity effects of omega 3 fatty acids in brown adipose tissueR15AT008879 · NCCIH · TEXAS TECH UNIVERSITY · PI MOUSTAID-MOUSSA, NAIMA · 2016 to 2018
$799k
SPMs, linoleic acid, and antibody levels in obesityR03AI159308 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHAIKH, SAAME R · 2021 to 2022
$149k
Interdisciplinary Nutrition Sciences Symposium: Synergizing Animal and Human Obesity ResearchR13DK122823 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GORDON-LARSEN, PENNY · 2019 to 2019
$17k
ACL HHS R21OH011562NCATS NIH HHS OT2 TR002514NCCIH NIH HHS R01 AT008375NCCIH NIH HHS R15 AT008879NCI NIH HHS R35 CA197627NHLBI NIH HHS R01 HL143885NIAID NIH HHS R03 AI159308NICHD NIH HHS P2C HD050924NIDDK NIH HHS P30 DK056350NIDDK NIH HHS R13 DK122823NIOSH CDC HHS R21 OH011562
6 · The paper itself

Abstract

Obesity is routinely considered as a single disease state, which drives a "one-size-fits-all" approach to treatment. We recently convened the first annual University of North Carolina Interdisciplinary Nutrition Sciences Symposium to discuss the heterogeneity of obesity and the need for translational science to advance understanding of this heterogeneity. The symposium aimed to advance scientific rigor in translational studies from animal to human models with the goal of identifying underlying mechanisms and treatments. In this review, we discuss fundamental gaps in knowledge of the heterogeneity of obesity ranging from cellular to population perspectives. We also advocate approaches to overcoming limitations in the field. Examples include the use of contemporary mouse genetic reference population models such as the Collaborative Cross and Diversity Outbred mice that effectively model human genetic diversity and the use of translational models that integrate -omics and computational approaches from pre-clinical to clinical models of obesity. Finally, we suggest best scientific practices to ensure strong rigor that will allow investigators to delineate the sources of heterogeneity in the population with obesity. Collectively, we propose that it is critical to think of obesity as a heterogeneous disease with complex mechanisms and etiologies, requiring unique prevention and treatment strategies tailored to the individual.

Indexed as

ObesityResearch DesignAnimalsHumansMiceclinicalheterogeneityhumanmousenutritionobesitiespre-clinicalpreventionsymposiumtreatment

Identifiers

PMID33885739
PMCPMC8483969

What OpenQuestion holds

Textmetadata
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.