Evidence map›Paper›PMID 41752060›Full record

ReviewInternational journal of molecular sciences2026

Reexamining Fat: Exploring Diversity, Plasticity, Development, Functional Implication, and Therapeutic Options.

Presley D Dowker-Key, Praveen Kumar Jadi, Rawon Alfatlawi, Richard J Giannone, Ahmed Bettaieb

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 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. 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

5 authors.

Presley D Dowker-KeyDepartment of Nutrition, University of Tennessee, Knoxville, TN 37996-0840, USA.
Praveen Kumar JadiDepartment of Nutrition, University of Tennessee, Knoxville, TN 37996-0840, USA.ORCID 0000-0001-9819-4285
Rawon AlfatlawiDepartment of Biomedical Engineering, University of Tennessee, Knoxville, TN 37996-0840, USA.
Richard J GiannoneOak Ridge National Laboratory, Oak Ridge, TN 37831-6191, USA.
Ahmed BettaiebDepartment of Nutrition, University of Tennessee, Knoxville, TN 37996-0840, USA.

Funding

American Heart Association 26POST1563678National Institute of Food and Agriculture National Institute of Food and Agriculture-NIFA-AFRI-2021-007052
6 · The paper itself

Abstract

Obesity has become so prevalent in many developed countries that it is increasingly perceived as a new norm, despite decades of interventions and drug development. Although research continues to explore novel strategies, no single approach to date has demonstrated sustained success in reducing its population-level dominance. This underscores the need to better evaluate and integrate the growing body of knowledge surrounding obesity's multifaceted nature. Stamped under one 'fat' name, adipose tissue varies by color, location, morphology, composition, and function. This variability suggests a level of complexity that demands deeper investigation. Although the relevance and roles of different adipose types have been extensively discussed throughout the literature, their interdependence, synergy, and collective impact on the body remain to be fully expounded. This review aims to further consolidate and elucidate the available information on the different adipose tissue types and their association with obesity and metabolic health. We also discuss existing and emerging therapeutic strategies, highlighting their respective strengths and limitations.

Indexed as

Adipose TissueObesityAnimalsHumansadipose biologyBATbeigebritebrowningmetabolismobesityPATWATYAT

Identifiers

PMID41752060
PMCPMC12940824

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.