Evidence map›Paper›PMID 35855328›Full record

ArticleAging and disease2022

MiR-4763-3p targeting

Jiao Wang, Wenxin Qi, Hongwei Shi, Lin Huang, Fujiang Ning, Fushuai Wang, Kai Wang, Haotian Bai, Hao Wu, Junyi Zhuang and 9 more

Open access · goldAbstract read
In one paragraph

Article in Aging and disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

19 authors at 6 institutions in 1 country.

Jiao Wang1School of Life Sciences, Shanghai University, Shanghai, China.
Wenxin Qi1School of Life Sciences, Shanghai University, Shanghai, China.
Hongwei Shi1School of Life Sciences, Shanghai University, Shanghai, China.
Lin Huang1School of Life Sciences, Shanghai University, Shanghai, China.
Fujiang Ning8Psychological Rehabilitation Hospital of Penglai District, Yantai, Shandong, China.
Fushuai Wang1School of Life Sciences, Shanghai University, Shanghai, China.
Kai Wang7Central Laboratory, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Haotian Bai2School of Computer Engineering and Science, Shanghai University, Shanghai, China.
Hao Wu1School of Life Sciences, Shanghai University, Shanghai, China.
Junyi Zhuang1School of Life Sciences, Shanghai University, Shanghai, China.
Huanle Hong1School of Life Sciences, Shanghai University, Shanghai, China.
Haicong Zhou1School of Life Sciences, Shanghai University, Shanghai, China.
Hu Feng1School of Life Sciences, Shanghai University, Shanghai, China.
Yinping Zhou1School of Life Sciences, Shanghai University, Shanghai, China.
Naijun Dong1School of Life Sciences, Shanghai University, Shanghai, China.
Li Liu8Psychological Rehabilitation Hospital of Penglai District, Yantai, Shandong, China.
Yanyan Kong3PET Center, Huashan Hospital, Fudan University, Shanghai, China.
Jiang Xie2School of Computer Engineering and Science, Shanghai University, Shanghai, China.
Robert Chunhua Zhao1School of Life Sciences, Shanghai University, Shanghai, China.
Shanghai University · CNShanghai University of Engineering Science · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNHuashan Hospital · CNShanghai Jiao Tong University · CNYantaishan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing diagnostic methods are limited to observing appearance and demeanor, even though genetic factors play important roles in the pathology of schizophrenia. Indeed, no molecular-level test exists to assist diagnosis, which has limited treatment strategies. To address this serious shortcoming, we used a bioinformatics approach to identify 61 genes that are differentially expressed in schizophrenia patients compared with healthy controls. In particular, competing endogenous RNA network revealed the important role of the gene

Indexed as

BiomarkermiR-4763-3pRASD2Schizophrenia

Identifiers

PMID35855328
PMCPMC9286908
OpenAlexW4285741299

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.