Evidence map›Paper›PMID 31379560›Full record

ArticleFrontiers in aging neuroscience2019

Identification of the Potential Key Long Non-coding RNAs in Aged Mice With Postoperative Cognitive Dysfunction.

Ming Li, Chan Chen, Weiyi Zhang, Rui Gao, Qiao Wang, Hai Chen, Shu Zhang, Xiaobo Mao, Mathis Leblanc, Adam Behensky and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 31 citations in OpenAlex.

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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

15 authors at 4 institutions in 2 countries.

Ming LiDepartment of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China.
Chan ChenDepartment of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China.
Weiyi ZhangDepartment of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China.
Rui GaoDepartment of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China.
Qiao WangDepartment of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China.
Hai ChenDepartment of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China.
Shu ZhangDepartment of Emergency Medicine, West China Hospital, Sichuan University, Chengdu, China.
Xiaobo MaoInstitute of Cell Engineering, Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, United States.
Mathis LeblancInstitute of Cell Engineering, Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, United States.
Adam BehenskyInstitute of Cell Engineering, Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, United States.
Zheng ZhangDepartment of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China.
Lu GanDepartment of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China.
Hai YuDepartment of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China.
Tao ZhuDepartment of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China.
Jin LiuDepartment of Anesthesiology and Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu, China.
Sichuan University · CNWest China Hospital of Sichuan University · CNJohns Hopkins University · USJohns Hopkins Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postoperative cognitive dysfunction (POCD) is a significant complication of surgery, particularly in elderly patients. Emerging researches showed that long non-coding RNA (lncRNA) may play a vital role in the pathogenesis of POCD. Here we aimed to identify potential key lncRNAs involved in the development of POCD. LncRNA and mRNA expression profiles in hippocampal tissues from POCD and control mice were analyzed by microarray assay. Gene ontology (GO) and KEGG pathway enrichment analyses were conducted to probe the functions of dysregulated genes. Then, important factors of the mainly affected biological processes were measured in the hippocampus. Correlated coding-non-coding co-expression (CNC) networks were constructed. Finally, the potential key pairs of lncRNA and target mRNA implicated in POCD were probed. Our data showed that 868 differentially expressed lncRNAs and 690 differentially expressed mRNAs were identified in total. GO and KEGG analyses indicated that the differentially expressed genes were mainly associated with inflammatory and apoptotic signaling pathways. Surgery-induced inflammatory cytokines and apoptosis were significantly increased in hippocampal tissues of aged mice. In CNC network analysis, we found that LncRNA uc009qbj.1 was positively correlated with apoptosis-associated gene

Indexed as

agingapoptosisinflammationlong non-coding RNAmicroarraypostoperative cognitive dysfunction

Identifiers

PMID31379560
PMCPMC6650538
OpenAlexW2957090779

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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.