Evidence map›Paper›PMID 38511052›Full record

ArticleNon-coding RNA research2024

Abnormal expression of PRKAG2-AS1 in endothelial cells induced inflammation and apoptosis by reducing PRKAG2 expression.

Xiao-Wei Song, Wen-Xia He, Ting Su, Chang-Jin Li, Li-Li Jiang, Song-Qun Huang, Song-Hua Li, Zhi-Fu Guo, Bi-Li Zhang

Open access · goldAbstract read
In one paragraph

Article in Non-coding RNA research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 1 country.

Xiao-Wei SongDepartment of Anesthesiology, Shidong Hospital of Shanghai, University of Shanghai for Science and Technology, Shanghai, China.
Wen-Xia HeDepartment of Cardiology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Ting SuDepartment of Cardiology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Chang-Jin LiDepartment of Cardiology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Li-Li JiangDepartment of Cardiology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Song-Qun HuangDepartment of Cardiology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Song-Hua LiDepartment of Cardiology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Zhi-Fu GuoDepartment of Cardiology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Bi-Li ZhangDepartment of Cardiology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Second Military Medical University · CNShanghai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PRKAG2 is required for the maintenance of cellular energy balance. PRKAG2-AS1, a long non-coding RNA (lncRNA), was found within the promoter region of PRKAG2. Despite the extensive expression of PRKAG2-AS1 in endothelial cells, the precise function and mechanism of this gene in endothelial cells have yet to be elucidated. The localization of PRKAG2-AS1 was predominantly observed in the nucleus, as revealed using nuclear and cytoplasmic fractionation and fluorescence in situ hybridization. The manipulation of PRKAG2-AS1 by knockdown and overexpression within the nucleus significantly altered PRKAG2 expression in a

Indexed as

AtherosclerosisEndothelial cellsInflammatory injuryLncRNAPRKAG2-AS1

Identifiers

PMID38511052
PMCPMC10950609
OpenAlexW4391998245

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.