Evidence map›Paper›PMID 37625407›Full record

ArticleCell metabolism2023

Deciphering the decline of metabolic elasticity in aging and obesity.

Qiuzhong Zhou, Lexiang Yu, Joshua R Cook, Li Qiang, Lei Sun

Open access · greenAbstract read
In one paragraph

Article in Cell metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
11.0field-weighted citation impact, top 1% 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

44 citing papers in PubMed, 63 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Qiuzhong ZhouCardiovascular and Metabolic Disorders Program, Duke-NUS Medical School, Singapore, Singapore.
Lexiang YuNaomi Berrie Diabetes Center and Department of Pathology and Cell Biology, Columbia University, New York, NY, USA; Department of Medicine, Columbia University, New York, NY, USA.
Joshua R CookDepartment of Medicine, Columbia University, New York, NY, USA.
Li QiangNaomi Berrie Diabetes Center and Department of Pathology and Cell Biology, Columbia University, New York, NY, USA; Department of Medicine, Columbia University, New York, NY, USA. Electronic address: lq2123@cumc.columbia.edu.
Lei SunCardiovascular and Metabolic Disorders Program, Duke-NUS Medical School, Singapore, Singapore. Electronic address: sun.lei@duke-nus.edu.sg.
Columbia University · USDuke-NUS Medical School · SGColumbia University Irving Medical Center · US

Funding

TTC39B in obesity and atherosclerosisP01HL087123 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TABAS, IRA A · 2007 to 2022
$31.2M
Adipsin in NASHR01DK131169 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Utpal Pajvani · 2022 to 2026
$2.9M
PPARgamma Deacetylation in the Restoration of Metabolic HomeostasisR01DK112943 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI QIANG, LI · 2018 to 2022
$2.4M
Preclinical Validation of PPARg Acetylation Inhibitors for Diabetes Prevention and TreatmentR01DK128848 · NIDDK · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI WANG, WEIDONG · 2021 to 2025
$2.4M
NHLBI NIH HHS P01 HL087123NIDDK NIH HHS R01 DK112943NIDDK NIH HHS R01 DK128848NIDDK NIH HHS R01 DK131169
6 · The paper itself

Abstract

Organisms must adapt to fluctuating nutrient availability to maintain energy homeostasis. Here, we term the capacity for such adaptation and restoration "metabolic elasticity" and model it through ad libitum-fasting-refeeding cycles. Metabolic elasticity is achieved by coordinate versatility in gene expression, which we call "gene elasticity." We have developed the gene elasticity score as a systematic method to quantify the elasticity of the transcriptome across metabolically active tissues in mice and non-human primates. Genes involved in lipid and carbohydrate metabolism show high gene elasticity, and their elasticity declines with age, particularly with PPARγ dysregulation in adipose tissue. Synchronizing PPARγ activity with nutrient conditions through feeding-timed agonism optimizes their metabolic benefits and safety. We further broaden the conceptual scope of metabolic and gene elasticity to dietary challenges, revealing declines in diet-induced obesity similar to those in aging. Altogether, our findings provide a dynamic perspective on the dysmetabolic consequences of aging and obesity.

Indexed as

Adaptation, PhysiologicalAgingObesityAdipose TissueAnimalsCarbohydrate MetabolismEnergy MetabolismFastingGene ExpressionLipid MetabolismMacaca fascicularisMaleMiceMice, Inbred C57BLPPAR gammaPPAR gammaadipocyteadipose tissueaginggene elasticitylivermetabolic declinemetabolic elasticitymusclenutrient challengeobesity

Identifiers

PMID37625407
PMCPMC10528724
OpenAlexW4386150006

What OpenQuestion holds

Textmetadata
LicenceTDM
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.