Evidence map›Paper›PMID 32046161›Full record

ArticleInternational journal of molecular sciences2020

MicroRNA 322 Aggravates Dexamethasone-Induced Muscle Atrophy by Targeting

Hongwei Geng, Qinglong Song, Yunyun Cheng, Haoyang Li, Rui Yang, Songcai Liu, Linlin Hao

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. International journal of molecular sciences · 2023
    Article
  4. Article
  5. miR-424(322)-5p targetsActa biochimica et biophysica Sinica · 2023
    Article
  6. Article
  7. Non-coding RNA basis of muscle atrophy.Molecular therapy. Nucleic acids · 2021
    Review
  8. Article
  9. Article
  10. 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

7 authors at 2 institutions in 1 country.

Hongwei GengCollege of Animal Science, Jilin University, Changchun 130062, China.
Qinglong SongState Key Laboratory of Animal Nutrition, China Agricultural University, Beijing 100193, China.
Yunyun ChengCollege of Animal Science, Jilin University, Changchun 130062, China.
Haoyang LiCollege of Animal Science, Jilin University, Changchun 130062, China.
Rui YangCollege of Animal Science, Jilin University, Changchun 130062, China.
Songcai LiuCollege of Animal Science, Jilin University, Changchun 130062, China.
Linlin HaoCollege of Animal Science, Jilin University, Changchun 130062, China.
Jilin University · CNChina Agricultural University · CN

Funding

Education Department of Jilin Province JJKH20180231KJNational Natural Science Foundation of China 31772699
6 · The paper itself

Abstract

Dexamethasone (Dex) has been widely used as a potent anti-inflammatory, antishock, and immunosuppressive agent. However, high dose or long-term use of Dex is accompanied by side effects including skeletal muscle atrophy, whose underlying mechanisms remain incompletely understood. A number of microRNAs (miRNAs) have been shown to play key roles in skeletal muscle atrophy. Previous studies showed significantly increased miR-322 expression in Dex-treated C2C12 myotubes. In our study, the glucocorticoid receptor (

Indexed as

AnimalsCell LineDexamethasoneMaleMiceMice, Inbred C57BLMicroRNAsMuscle Fibers, SkeletalMuscular AtrophyReceptor, IGF Type 1Receptor, InsulinDexamethasoneIgf1r protein, mouseMicroRNAsMIRN322 microRNA, mouseReceptor, IGF Type 1Receptor, InsulinatrophydexamethasoneIGF1RINSRmiR-322skeletal muscle

Identifiers

PMID32046161
PMCPMC7043225
OpenAlexW3004420002

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.