Evidence map›Paper›PMID 38345889›Full record

ArticleDiabetes2024

Relationship of Fat Mass Ratio, a Biomarker for Lipodystrophy, With Cardiometabolic Traits.

Saaket Agrawal, Jian'an Luan, Beryl B Cummings, Ethan J Weiss, Nick J Wareham, Amit V Khera

Abstract read
In one paragraph

Article in Diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Evaluating the therapeutic impact of tirzepatide in people with partial lipodystrophy.The Journal of clinical endocrinology and metabolism · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Saaket AgrawalProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA.ORCID 0000-0002-2535-4759
Jian'an LuanMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, U.K.
Beryl B CummingsMarea Therapeutics, San Francisco, CA.
Ethan J WeissMarea Therapeutics, San Francisco, CA.
Nick J WarehamMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, U.K.
Amit V KheraProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA.
Broad Institute · USMRC Epidemiology Unit · GB

Funding

Enabling improved applicability and transferability of polygenic scores across populationsU01HG011719 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI Alicia Martin · 2021 to 2026
$5.5M
Polygenic prediction of common, complex diseasesK08HG010155 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI KHERA, AMIT VIKRAM · 2018 to 2021
$1.1M
NHGRI NIH HHS 1K08HG010155NHGRI NIH HHS K08 HG010155NHGRI NIH HHS U01 HG011719Sarnoff Cardiovascular Research Foundation
6 · The paper itself

Abstract

Familial partial lipodystrophy (FPLD) is a heterogenous group of syndromes associated with a high prevalence of cardiometabolic diseases. Prior work has proposed DEXA-derived fat mass ratio (FMR), defined as trunk fat percentage divided by leg fat percentage, as a biomarker of FPLD, but this metric has not previously been characterized in large cohort studies. We set out to 1) understand the cardiometabolic burden of individuals with high FMR in up to 40,796 participants in the UK Biobank and 9,408 participants in the Fenland study, 2) characterize the common variant genetic underpinnings of FMR, and 3) build and test a polygenic predictor for FMR. Participants with high FMR were at higher risk for type 2 diabetes (odds ratio [OR] 2.30, P = 3.5 × 10-41) and metabolic dysfunction-associated liver disease or steatohepatitis (OR 2.55, P = 4.9 × 10-7) in UK Biobank and had higher fasting insulin (difference 19.8 pmol/L, P = 5.7 × 10-36) and fasting triglycerides (difference 36.1 mg/dL, P = 2.5 × 10-28) in the Fenland study. Across FMR and its component traits, 61 conditionally independent variant-trait pairs were discovered, including 13 newly identified pairs. A polygenic score for FMR was associated with an increased risk of cardiometabolic diseases. This work establishes the cardiometabolic significance of high FMR, a biomarker for FPLD, in two large cohort studies and may prove useful in increasing diagnosis rates of patients with metabolically unhealthy fat distribution to enable treatment or a preventive therapy. ARTICLE HIGHLIGHTS:

Indexed as

BiomarkersAdipose TissueAdultCardiovascular DiseasesDiabetes Mellitus, Type 2FemaleHumansLipodystrophy, Familial PartialMaleMiddle AgedBiomarkers

Identifiers

PMID38345889
PMCPMC11189835
OpenAlexW4391756200

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.