Evidence map›Paper›PMID 41746698›Full record

ArticleDiabetes care2026

Relationships Between Regional and Ectopic Adiposity and Insulin Sensitivity in Early and Late Pregnancy.

Jonathan Q Purnell, Nicole Marshall, Melanie Francisco, Michael Leo, William D Rooney, Eric Baetscher, Antonio Frias, Amy Valent, Patrick Catalano, Janet King and 1 more

Abstract read
In one paragraph

Article in Diabetes care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Jonathan Q PurnellDepartment of Medicine, Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR.ORCID 0000-0001-5505-6333
Nicole MarshallDepartment of Obstetrics & Gynecology, Division of Maternal Fetal Medicine, Oregon Health & Science University, Portland, OR.
Melanie FranciscoCenter for Health Research, Kaiser Permanente Northwest, Portland, OR.
Michael LeoCenter for Health Research, Kaiser Permanente Northwest, Portland, OR.
William D RooneyAdvanced Imaging Research Center, Oregon Health & Science University, Portland, OR.
Eric BaetscherAdvanced Imaging Research Center, Oregon Health & Science University, Portland, OR.
Antonio FriasDepartment of Obstetrics & Gynecology, Division of Maternal Fetal Medicine, Oregon Health & Science University, Portland, OR.
Amy ValentDepartment of Obstetrics & Gynecology, Division of Maternal Fetal Medicine, Oregon Health & Science University, Portland, OR.
Patrick CatalanoReproductive Endocrine Unit, Division of Endocrinology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Janet KingDepartment of Nutritional Sciences & Toxicology, University of California, Berkeley, CA.
Kimberly K VescoCenter for Health Research, Kaiser Permanente Northwest, Portland, OR.

Funding

Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
Role of liver and visceral fat in glucose and lipid metabolism during pregnancyR01DK098707 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI VESCO, KIMBERLY KRISTINE · 2014 to 2016
$2.0M
National Center for Advancing Translational Sciences, National Institutes of Health UL1TR002369National Institute of Child Health and Human Development K23HD069520-01A1NCATS NIH HHS UL1 TR002369NIDDK NIH HHS R01 DK098707NIDDK NIH HHS R01DK098707NIH HHS S10-OD018224NIH HHS S10-OD021701Oregon Clinical & Translational Research Institute
6 · The paper itself

Abstract

objectiveTo determine relationships between measurements of total body, visceral, and ectopic (liver, skeletal muscle) fat with insulin sensitivity in pregnancy. RESEARCH DESIGN AND

methodsPregnant women of varying prepregnancy weights were prospectively studied in early (n = 59) and late (n = 47) gestation. At each visit, participants underwent body composition measurements including fat mass (FM), fat-free mass (FFM), abdominal subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT), ectopic lipid amounts in liver (intrahepatic lipid [IHL]) and calf skeletal muscle (intramyocellular lipid [IMCL] and extramyocellular lipid), and hyperinsulinemia-euglycemic clamp to determine insulin sensitivity (Rd), endogenous glucose production (EGP), hepatic insulin sensitivity index (HISI), and free fatty acid (FFA) levels.

resultsIn early pregnancy, Rd ([mg/kg FFM/min]/µIU/mL) inversely correlated (P values <0.05) with BMI, FM, SAT, VAT, IHL, IMCL, and FFA. HISI inversely correlated (P values <0.05) with BMI, FM, SAT, VAT, IMCL, and FFA but not with IHL. In late pregnancy, however, neither EGP ([mg/kg FFM/min]/µIU/mL) nor Rd correlated with regional or ectopic fat measures, but HISI remained inversely correlated with BMI, FM, SAT, VAT, and IMCL. Early-pregnancy IHL levels did not predict late-pregnancy insulin sensitivity. Pregnant women with prepregnancy obesity were more insulin resistant but gained less gestational weight, VAT, and SAT, and experienced less decline in insulin sensitivity, than normal prepregnancy weight women.

conclusionsInsulin resistance in early pregnancy is strongly associated with total, regional, and ectopic adiposity. However, in late pregnancy, factors other than regional and ectopic adiposity predominately influence insulin sensitivity. Prepregnancy weight categories proportionately alter gestational weight gain, adiposity distribution, and glucometabolic responses.

Indexed as

AdiposityInsulin ResistanceAdultBody CompositionFemaleGlucose Clamp TechniqueHumansIntra-Abdominal FatLiverMuscle, SkeletalPregnancy

Identifiers

PMID41746698
PMCPMC13108613

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.