Evidence map›Paper›PMID 37680891›Full record

ReviewFrontiers in endocrinology2023

Latest advances in the regulatory genes of adipocyte thermogenesis.

Tao Nie, Jinli Lu, Hua Zhang, Liufeng Mao

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 3 institutions in 1 country.

Tao NieSchool of Basic Medicine, Hubei University of Arts and Science, Xiangyang, China.
Jinli LuScientific Research Center, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Hua ZhangDepartment of Medical Iconography, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Liufeng MaoScientific Research Center, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
First Affiliated Hospital of Guangdong Pharmaceutical University · CNHubei University of Arts and Science · CNSecond Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An energy imbalance cause obesity: more energy intake or less energy expenditure, or both. Obesity could be the origin of many metabolic disorders, such as type 2 diabetes and cardiovascular disease. UCP1 (uncoupling protein1), which is highly and exclusively expressed in the thermogenic adipocytes, including beige and brown adipocytes, can dissipate proton motive force into heat without producing ATP to increase energy expenditure. It is an attractive strategy to combat obesity and its related metabolic disorders by increasing non-shivering adipocyte thermogenesis. Adipocyte thermogenesis has recently been reported to be regulated by several new genes. This work provided novel and potential targets to activate adipocyte thermogenesis and resist obesity, such as secreted proteins ADISSP and EMC10, enzyme SSU72, etc. In this review, we have summarized the latest research on adipocyte thermogenesis regulation to shed more light on this topic.

Indexed as

Diabetes Mellitus, Type 2Adipocytes, BrownGenes, RegulatorHumansMembrane ProteinsObesityPhosphoprotein PhosphatasesThermogenesisEMC10 protein, humanMembrane ProteinsPhosphoprotein PhosphatasesSSU72 protein, humanadipocyte thermogenesisadrenergic signaling pathwayobesityPKAUCP1

Identifiers

PMID37680891
PMCPMC10482227
OpenAlexW4386086005

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.