Evidence map›Paper›PMID 35785158›Full record

ArticleFrontiers in oncology2022

Cytokine-Mediated STAT3 Transcription Supports ATGL/CGI-58-Dependent Adipocyte Lipolysis in Cancer Cachexia.

Aakash Y Gandhi, Jinhai Yu, Arun Gupta, Tong Guo, Puneeth Iyengar, Rodney E Infante

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
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  8. Cancer cachexia: molecular basis and therapeutic advances.Signal transduction and targeted therapy · 2026
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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

6 authors at 2 institutions in 1 country.

Aakash Y GandhiCenter for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Jinhai YuCenter for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Arun GuptaDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Tong GuoCenter for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Puneeth IyengarCenter for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Rodney E InfanteCenter for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, TX, United States.
HumanN (United States) · USThe University of Texas Southwestern Medical Center · US

Funding

TRANSCRIPTIONAL REGULATION OF LDL RECEPTOR PROMOTERP01HL020948 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI GOLDSTEIN, JOSEPH L · 1985 to 2021
$103.1M
UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Sandi Leigh Pruitt · 2010 to 2026
$53.7M
MECHANISMS OF DRUG ACTION AND DISPOSITIONT32GM007062 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI MANGELSDORF, DAVID J · 1985 to 2020
$7.4M
UT GASTROENTEROLOGY/HEPATOLOGY RESEARCH TRAINING PROGRAMT32DK007745 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI Rodney E Infante · 1997 to 2026
$6.8M
Identifying the Cellular and Molecular Targets of JAK/STAT-Driven Adipose Wasting to Reverse Cancer CachexiaR01CA266900 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI INFANTE, RODNEY E, IYENGAR, PUNEETH · 2022 to 2025
$3.0M
LIFR-alpha/JAK/STAT3-dependent Adipose Inflammation Contributes to Obesity-Associated NAFLD - ResubmissiR01DK128166 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI Rodney E Infante, Puneeth Iyengar · 2022 to 2026
$2.6M
NCI NIH HHS P30 CA142543NCI NIH HHS R01 CA266900NHLBI NIH HHS P01 HL020948NIDDK NIH HHS R01 DK128166NIDDK NIH HHS T32 DK007745NIGMS NIH HHS T32 GM007062
6 · The paper itself

Abstract

Adipose tissue inflammation is observed in multiple metabolically-altered states including cancer-associated cachexia and obesity. Although cachexia is a syndrome of adipose loss and obesity is a disease of adipose excess, both pathologies demonstrate increases in circulating levels of IL-6 family cytokines, β-adrenergic signaling, and adipocyte lipolysis. While β-adrenergic-stimulated adipocyte lipolysis is well described, there is limited mechanistic insight into how cancer cachexia-associated inflammatory cytokines contribute to adipocyte lipolysis under pathologic conditions. Here, we set out to compare adipocyte lipolysis signaling by cancer cachexia-associated IL-6 family cytokines (IL-6 and LIF) to that of the β-adrenergic agonist isoproterenol. Unlike isoproterenol, the IL-6 family of cytokines required JAK/STAT3-dependent transcriptional changes to induce adipocyte lipolysis. Furthermore, cachexia-associated cytokines that used STAT3 to induce lipolysis were primarily dependent on the lipase ATGL and its cofactor CGI-58 rather than lipases HSL and MAGL. Finally, administration of JAK but not β-adrenergic inhibitors suppressed adipose STAT3 phosphorylation and associated adipose wasting in a murine model of cancer cachexia characterized by increased systemic IL-6 family cytokine levels. Combined, our results demonstrate how the IL-6 family of cytokines diverge from β-adrenergic signals by employing JAK/STAT3-driven transcriptional changes to promote adipocyte ATGL/CGI-58-dependent lipolysis contributing to adipose wasting in cancer cachexia.

Indexed as

adipocyte lipolysisadipose triglyceride lipase (ATGL)adipose wasting (malnutrition)cancer cachexiainterleukin-6 (IL-6)leukemia inhibitor factorsignal transducer and activator of transcription 3 (STAT3)β-adrenergic signaling

Identifiers

PMID35785158
PMCPMC9240385
OpenAlexW4282933184

What OpenQuestion holds

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LicenceCC BY
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.