Evidence map›Paper›PMID 43004131›Full record

ReviewReviews in endocrine & metabolic disorders2026

Regulation and implications of adipocyte lipolysis in musculoskeletal tissues.

Jordan M Bollinger, Sreejith S Panicker, Gretchen A Meyer, Erica L Scheller

Abstract readReview
PubMed Publisher
In one paragraph

Review in Reviews in endocrine & metabolic disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jordan M BollingerDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
Sreejith S PanickerDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
Gretchen A MeyerDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA. meyerg@wustl.edu.
Erica L SchellerDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA. scheller@wustl.edu.

Funding

NIA NIH HHS R01-AG101404NIDDK NIH HHS R01-DK132073
6 · The paper itself

Abstract

The musculoskeletal (MSK) system contains several unique adipose tissue depots with an emerging role in health and disease. This includes bone marrow adipose tissues (BMAT), intramuscular and epimuscular adipose tissues (IMAT/EMAT), and adipose tissues in joints and around tendons. Adipocytes within these depots are differentially sensitive to lipolytic stimuli which provides clues as to how, and when, local lipolysis participates in MSK health and global metabolism. This review covers known mechanisms regulating lipolysis in each of the MSK adipose depots while emphasizing commonalities and exploring unique features and potential consequences. For each depot, we evaluate its known basal and stimulated lipolytic responses, particularly in response to adrenergic stimuli, caloric restriction, and exercise. We further synthesize findings across fields including endocrinology, cancer biology, food science, and exercise metabolism. Overall, this review emphasizes the broad importance of lipolysis in MSK adipocytes across species and conditions and highlights translational challenges and opportunities. We also highlight ongoing and future work toward understanding how the mechanisms and consequences of lipolysis in adipocytes of the MSK system can contribute to our ability to promote and maintain health throughout the lifespan.

Indexed as

AdipocyteBone marrow adipose tissueCachexiaDietExerciseIntramuscular adipose tissueJoint fat padLipid dropletLipolysis

Identifiers

PMID43004131

What OpenQuestion holds

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Read underepoch 390

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.