Evidence map›Paper›PMID 36171542›Full record

ArticleBMC neuroscience2022

Identification of a hippocampal lncRNA-regulating network in a natural aging rat model.

Li Qi, Xiao Li, Shi-Min Liu, Dan-Li Jiao, Dan Hu, Xin-Yao Ju, Shu-Yu Zhao, Shu-Han Si, Li Hu, Guo-Na Li and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC neuroscience, 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, 5 citations in OpenAlex.

  1. Review
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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

13 authors at 1 institution in 1 country.

Li QiInstitute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Xiao LiCollege of Acumox and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Shi-Min LiuCollege of Acumox and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Dan-Li JiaoCollege of Acumox and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Dan HuCollege of Acumox and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Xin-Yao JuCollege of Acumox and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Shu-Yu ZhaoYueyang Hospital of Integrated Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China.
Shu-Han SiCollege of Acumox and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Li HuCollege of Acumox and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Guo-Na LiCollege of Acumox and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Bing-Zhe MaCollege of Acumox and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Shuang ZhouCollege of Acumox and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China. zhoushuang8008@163.com.
Chen ZhaoCollege of Acumox and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China. ztzhaochen@126.com.
Shanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDysregulation of long noncoding RNA (lncRNA) expression is related to aging and age-associated neurodegenerative diseases, and the lncRNA expression profile in the aging hippocampus is not well characterized. In the present investigation, the changed mRNAs and lncRNAs were confirmed via deep RNA sequencing. GO and KEGG pathway analyses were conducted to investigate the principal roles of the clearly dysregulated mRNAs and lncRNAs. Subsequently, through the prediction of miRNAs via which mRNAs and lncRNAs bind together, a competitive endogenous RNA network was constructed.

resultsA total of 447 lncRNAs and 182 mRNAs were upregulated, and 385 lncRNAs and 144 mRNAs were downregulated. Real-time reverse transcription-polymerase chain reaction validated the reliability of mRNA and lncRNA sequencing. KEGG pathway and GO analyses revealed that differentially expressed (DE) mRNAs were associated with cell adhesion molecules (CAMs), the p53 signaling pathway (SP), phagosomes, PPAR SP and ECM-receptor interactions. KEGG pathway and GO analyses showed that the target genes of the DE lncRNAs were related to cellular senescence, the p53 signaling pathway, leukocyte transendothelial migration and tyrosine metabolism. Coexpression analyses showed that 561 DE lncRNAs were associated with DE mRNAs. A total of 58 lncRNA-miRNA-mRNA target pairs were confirmed in this lncRNA‒miRNA‒mRNA network, comprising 10 mRNAs, 13 miRNAs and 38 lncRNAs.

conclusionsWe found specific lncRNAs and mRNAs in the hippocampus of natural aging model rats, as well as abnormal regulatory ceRNA networks. Our outcomes help explain the pathogenesis of brain aging and provide direction for further research.

Indexed as

MicroRNAsRNA, Long NoncodingAgingAnimalsGene Regulatory NetworksHippocampusPeroxisome Proliferator-Activated ReceptorsRatsReproducibility of ResultsRNA, MessengerTumor Suppressor Protein p53TyrosineMicroRNAsPeroxisome Proliferator-Activated ReceptorsRNA, Long NoncodingRNA, MessengerTumor Suppressor Protein p53TyrosineAgingHippocampuslncRNAsmRNAs

Identifiers

PMID36171542
PMCPMC9520886
OpenAlexW4297493680

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.