Evidence map›Paper›PMID 28738971›Full record

ArticleThe Kaohsiung journal of medical sciences2017

Rapamycin-ameliorated diabetic symptoms involved in increasing adiponectin expression in diabetic mice on a high-fat diet.

Fang-Hua Gong, Yan-Na Ye, Jin-Meng Li, Hai-Yang Zhao, Xiao-Kun Li

Open access · goldAbstract read
In one paragraph

Article in The Kaohsiung journal of medical sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 at 2 institutions in 1 country.

Fang-Hua GongSchool of Pharmacy, Wenzhou Medical University, Chashan College Park, Wenzhou, Zhejiang, China.
Yan-Na YeSchool of Pharmacy, Wenzhou Medical University, Chashan College Park, Wenzhou, Zhejiang, China.
Jin-Meng LiSchool of Pharmacy, Wenzhou Medical University, Chashan College Park, Wenzhou, Zhejiang, China.
Hai-Yang ZhaoInstitutes for Biological Sciences, Wenzhou University, Chashan College Park, Wenzhou, Zhejiang, China.
Xiao-Kun LiSchool of Pharmacy, Wenzhou Medical University, Chashan College Park, Wenzhou, Zhejiang, China; Institutes for Biological Sciences, Wenzhou University, Chashan College Park, Wenzhou, Zhejiang, China. Electronic address: proflxk@163.com.
Wenzhou Medical University · CNWenzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies showed that rapamycin improved diabetic complications. Here, we investigated the metabolic effects of rapamycin in type 2 diabetes model (T2DM) mice. Mice were treated with a daily intraperitoneal injection of rapamycin at 2 mg/kg or vehicle only for 3 weeks and were maintained on a high-fat diet. The treated diabetic mice exhibited decreased body weight, blood glucose levels, and fat mass. FGF21 expression was suppressed in C57B/L6 mice, but adiponectin expression increased both in FGF21 KO and C57B/L6 mice. These results suggest that rapamycin may alleviate FGF21 resistance in mice on a high-fat diet. The reduction of adipose tissue mass of the diabetic mice may be due to the increased adiponectin.

Indexed as

AdiponectinAdipose TissueAnimalsBlood GlucoseBody WeightDiabetes Mellitus, ExperimentalDiet, High-FatFibroblast Growth FactorsMiceMice, KnockoutSirolimusAdiponectinBlood Glucosefibroblast growth factor 21Fibroblast Growth FactorsSirolimusAdiponectinDiabetic miceFGF21Rapamycin

Identifiers

PMID28738971
PMCPMC11916697
OpenAlexW2734186820

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.