Evidence map›Paper›PMID 34916449›Full record

ArticleNeural regeneration research2022

MicroRNA is a potential target for therapies to improve the physiological function of skeletal muscle after trauma.

Xin-Yi Gu, Bo Jin, Zhi-Dan Qi, Xiao-Feng Yin

Open access · goldAbstract read
In one paragraph

Article in Neural regeneration research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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.

Xin-Yi GuDepartment of Orthopedics and Traumatology, Peking University People's Hospital; Key Laboratory of Trauma and Neural Regeneration (Peking University), Beijing, China.
Bo JinDepartment of Orthopedics, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, Jiangsu Province, China.
Zhi-Dan QiDepartment of Orthopedics and Traumatology, Peking University People's Hospital; Key Laboratory of Trauma and Neural Regeneration (Peking University), Beijing, China.
Xiao-Feng YinDepartment of Orthopedics and Traumatology, Peking University People's Hospital; Key Laboratory of Trauma and Neural Regeneration (Peking University), Beijing, China.
Peking University · CNJiangsu Province Hospital · CNPeking University People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs can regulate the function of ion channels in many organs. Based on our previous study we propose that miR-142a-39, which is highly expressed in denervated skeletal muscle, might affect cell excitability through similar mechanisms. In this study, we overexpressed or knocked down miR-142a-3p in C2C12 cells using a lentivirus method. After 7 days of differentiation culture, whole-cell currents were recorded. The results showed that overexpression of miR-142a-3p reduced the cell membrane capacitance, increased potassium current density and decreased calcium current density. Knockdown of miR-142a-3p reduced sodium ion channel current density. The results showed that change in miR-142a-3p expression affected the ion channel currents in C2C12 cells, suggesting its possible roles in muscle cell electrophysiology. This study was approved by the Animal Ethics Committee of Peking University in July 2020 (approval No. LA2017128).

Indexed as

C2C12denervationion channelsmicroRNAmiR-142a-3pmusclepatch clamppotassiumsodiumwhole-cell currents

Identifiers

PMID34916449
PMCPMC8771090
OpenAlexW4200146118

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.