Evidence map›Paper›PMID 39134173›Full record

ArticleDiabetes & metabolism2024

Gut-muscle communication links FGF19 levels to the loss of lean muscle mass following rapid weight loss.

Jordan Wean, Salisha Baranwal, Nicole Miller, Jae Hoon Shin, Robert W O'Rourke, Charles F Burant, Randy J Seeley, Amy E Rothberg, Nadejda Bozadjieva-Kramer

Abstract read
In one paragraph

Article in Diabetes & metabolism, 2024. 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

9 authors.

Jordan WeanDepartment of Surgery, University of Michigan, Ann Arbor, MI, United States.
Salisha BaranwalDepartment of Surgery, University of Michigan, Ann Arbor, MI, United States.
Nicole MillerDepartment of Internal Medicine, Metabolism Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, United States.
Jae Hoon ShinDepartment of Surgery, University of Michigan, Ann Arbor, MI, United States.
Robert W O'RourkeDepartment of Surgery, University of Michigan, Ann Arbor, MI, United States; Veterans Affairs Ann Arbor Healthcare System, Research Service, Ann Arbor, MI, United States.
Charles F BurantDepartment of Internal Medicine, Metabolism Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, United States.
Randy J SeeleyDepartment of Surgery, University of Michigan, Ann Arbor, MI, United States.
Amy E RothbergDepartment of Internal Medicine, Metabolism Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, United States.
Nadejda Bozadjieva-KramerDepartment of Surgery, University of Michigan, Ann Arbor, MI, United States; Veterans Affairs Ann Arbor Healthcare System, Research Service, Ann Arbor, MI, United States. Electronic address: nibozad@med.umich.edu.

Funding

Michigan Institute for Clinical and Health Research (MICHR)UL1TR002240 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C, MASHOUR, GEORGE ALEXANDER · 2017 to 2022
$54.9M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Karen Eileen Peterson · 2010 to 2026
$20.3M
University of Michigan O'Brien Kidney Translational Core CenterP30DK081943 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRETZLER, MATTHIAS · 2008 to 2022
$12.9M
Extracellular matrix-adipocyte metabolic crosstalk and diabetesI01CX001811 · VA · VETERANS HEALTH ADMINISTRATION · PI O'ROURKE, ROBERT W · 2019 to 2025
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The role of intestinal-derived FGF15/19 during obesity and rapid weight lossIK2BX005715 · VA · VETERANS HEALTH ADMINISTRATION · PI KRAMER, NADEJDA BOZADJIEVA · 2022 to 2025
–
BLRD VA IK2 BX005715CSRD VA I01 CX001811NCATS NIH HHS UL1 TR002240NIDDK NIH HHS P30 DK081943NIDDK NIH HHS P30 DK089503
6 · The paper itself

Abstract

objectiveOptimal weight loss involves decreasing adipose tissue while preserving lean muscle mass. Identifying molecular mediators that preserve lean muscle mass is therefore a clinically important goal. We have shown that circulating, postprandial FGF19 levels are lower in patients with obesity and decrease further with comorbidities such as type 2 diabetes and MASLD. Preclinical studies have shown that FGF15 (mouse ortholog of human FGF19) is necessary to protect against lean muscle mass loss following metabolic surgery-induced weight loss in a mouse model of diet-induced obesity. We evaluated if non-surgical weight loss interventions also lead to increased systemic levels of FGF19 and whether FGF19 levels are predictive of lean muscle mass following rapid weight loss in human subjects with obesity. RESEARCH DESIGN AND

methodsWeight loss was induced in 176 subjects with obesity via a very low-energy diet, VLED (800 kcal/d) in the form of total liquid meal replacement for 3-4 months. We measured plasma FGF19 levels at baseline and following VLED-induced weight loss. Multiple linear regression was performed to assess if FGF19 levels were predictive of lean mass at baseline (obesity) and following VLED.

resultsPostprandial levels of FGF19 increased significantly following VLED-weight loss. Multiple linear regression analysis showed that baseline (obesity) FGF19 levels, but not post VLED FGF19 levels, significantly predicted the percent of lean muscle mass after VLED-induced weight loss, while controlling for age, sex, and the baseline percent lean mass.

conclusionThese data identify gut-muscle communication and FGF19 as a potentially important mediator of the preservation of lean muscle mass during rapid weight loss.

Indexed as

Fibroblast Growth FactorsMuscle, SkeletalObesityWeight LossAdultCaloric RestrictionFemaleHumansMaleMiddle AgedPostprandial PeriodFGF19 protein, humanFibroblast Growth FactorsFGF19Lean muscle massObesityVery low-energy dietsVLEDWeight loss

Identifiers

PMID39134173
PMCPMC12330221

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.