Evidence map›Paper›PMID 30498989›Full record

ReviewEating and weight disorders : EWD2019

PGC-1α activation: a therapeutic target for type 2 diabetes?

Daixiu Yuan, Dingfu Xiao, Qian Gao, Liming Zeng

Abstract readReview
PubMed Publisher
In one paragraph

Review in Eating and weight disorders : EWD, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Changes in Cells Associated with Insulin Resistance.International journal of molecular sciences · 2024
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Obesity, Insulin Resistance, and Type 2 Diabetes: Associations and Therapeutic Implications.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    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

4 authors.

Daixiu YuanDepartment of Medicine, Jishou University, Jishou, 41600, Hunan, China.
Dingfu XiaoCollege of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China.
Qian GaoCollege of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China.
Liming ZengScience College of Jiangxi Agricultural University, Nanchang, 330045, Jiangxi, China. nibazlm@sina.com.

Funding

the Major Project of Education Department in Hunan 16A096the Project of Science and Technology of Jiangxi Province 20151BBF60008
6 · The paper itself

Abstract

Peroxisome proliferator-activated receptor-γ coactivator-1α (PGC-1α) has gained popularity as a very attractive target for diabetic therapies due to its role in lipid and glucose metabolism. Pharmacological activation of PGC-1α is thought to elicit health benefits. However, this notion has been questioned by increasing evidence, which suggests that insulin resistant is exacerbated when PGC-1α expression is far beyond normal physiological limits and is prevented under the condition of PGC-1α deficiency. This narrative review suggests that PGC-1α, as a master metabolic regulator, exerts roles in insulin sensitivity in a tissue-specific manner and in a physical activity/age-dependent fashion. When using PGC-1α as a target for therapeutic strategies against insulin resistance and T2DM, we should take these factors into consideration.Level of evidence: Level V, narrative review.

Indexed as

AnimalsDiabetes Mellitus, Type 2HumansInsulinInsulin ResistanceMuscle, SkeletalPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaInsulinPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPPARGC1A protein, humanDrug therapyInsulin resistancePeroxisome proliferator-activated receptor-γ coactivator-1αType 2 diabetes

Identifiers

What OpenQuestion holds

Textmetadata
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.