Evidence map›Paper›PMID 28932550›Full record

ArticleJournal of thoracic disease2017

LncRNA260-specific siRNA targeting

Ge Gong, Xin-Xing Yang, Yanyan Li, Hong-Yu Geng, Zhi-Jian Yang, Lian-Sheng Wang, Hyun Jun Kim, Xin-Zheng Lu

Open access · hybridAbstract read
In one paragraph

Article in Journal of thoracic disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 88% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Oxidative medicine and cellular longevity · 2022
    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

8 authors at 3 institutions in 2 countries.

Ge GongDepartment of Gerontology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Xin-Xing YangDepartment of Gerontology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Yanyan LiDepartment of Gerontology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Hong-Yu GengDepartment of Gerontology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Zhi-Jian YangDepartment of Cardiology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Lian-Sheng WangDepartment of Cardiology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Hyun Jun KimDepartment of Physiology, University of Cincinnati, Cincinnati 45267, USA.
Xin-Zheng LuDepartment of Cardiology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Nanjing Medical University · CNJiangsu Province Hospital · CNUniversity of Cincinnati · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe

methodsThe primary neonatal rat cardiomyocytes were transfected with three different pairs of siRNA specific to lncRNA260 targeting

resultsAll three groups of cardiomyocytes treated with lncRNA260-specific siRNA experienced significantly decreased levels of lactate dehydrogenase activity and apoptosis rate relative to the non-treatment and negative control groups (P<0.05), also expressed reduced levels of IL28RA, and increased levels of PI3KCG and Bcl-2/Bax (P<0.05).

conclusionsThe lncRNA260-specific siRNA may reduce cardiomyocyte apoptosis associated with H/R injury by decreasing levels of the

Indexed as

apoptosishypoxia and reoxygenationInterleukin 28 receptor alpha (IL28RA)phosphatidylinositol 3-kinase p110 gamma (PI3KCG)siRNA

Identifiers

PMID28932550
PMCPMC5594152
OpenAlexW2748576519

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.