Evidence map›Paper›PMID 25884595›Full record

ArticleBMC systems biology2015

Time-dependent variation of pathways and networks in a 24-hour window after cerebral ischemia-reperfusion injury.

Li-Ying Wang, Jun Liu, Yuan Li, Bing Li, Ying-Ying Zhang, Zhi-Wei Jing, Ya-Nan Yu, Hai-Xia Li, Shan-Shan Guo, Yi-Jun Zhao and 2 more

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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  8. Careflow Mining Techniques to Explore Type 2 Diabetes Evolution.Journal of diabetes science and technology · 2018
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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

12 authors at 3 institutions in 1 country.

Li-Ying WangInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Dongzhimennei Nanxiaojie 16#, Beijing, 100700, China. liying_w@126.com.
Jun LiuInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Dongzhimennei Nanxiaojie 16#, Beijing, 100700, China. franlj1104@aliyun.com.
Yuan LiBeijing University of Chinese Medicine, No. 11 East Road, North of 3rd Ring Road, Beijing, 100029, China. coldmoon_ly@163.com.
Bing LiInstitute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Dongzhimennei Nanxiaojie 16#, Beijing, 100700, China. libingtcm@163.com.
Ying-Ying ZhangInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Dongzhimennei Nanxiaojie 16#, Beijing, 100700, China. ljszyy@126.com.
Zhi-Wei JingChina Academy of Chinese Medical Sciences, Dongzhimennei Nanxiaojie 16#, Beijing, 100700, China. drjzw@163.com.
Ya-Nan YuInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Dongzhimennei Nanxiaojie 16#, Beijing, 100700, China. pumpkinnaicha@163.com.
Hai-Xia LiGuang'anmen Hospital, China Academy of China Medical Sciences, No.5 Beixiange, Beijing, 100053, China. 2272236055@qq.com.
Shan-Shan GuoInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Dongzhimennei Nanxiaojie 16#, Beijing, 100700, China. ruochushan@163.com.
Yi-Jun ZhaoChina Academy of Chinese Medical Sciences, Dongzhimennei Nanxiaojie 16#, Beijing, 100700, China. zhaoyijun4421@163.com.
Zhong WangInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Dongzhimennei Nanxiaojie 16#, Beijing, 100700, China. zhonw@vip.sina.com.
Yong-Yan WangInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Dongzhimennei Nanxiaojie 16#, Beijing, 100700, China. wangyongyan2010@sina.cn.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNBeijing University of Chinese Medicine · CNGuang’anmen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCerebral ischemia-reperfusion injury may simultaneously result in functional variation of multiple genes/pathways. However, most prior time-sequence studies on its pathomechanism only focused on a single gene or pathway. Our study aimed to systematically analyze the time-dependent variation in the expression of multiple pathways and networks within 24 h after cerebral ischemia-reperfusion injury.

resultsBy uploading 374 ischemia-related genes into the MetaCore software, the variation in the expression of multiple pathways and networks in 3 h, 12 h, and 24 h after cerebral ischemia-reperfusion injury had been analyzed. The conserved TNFR1-signaling pathway, among the top 10 pathways, was consistently enriched in 3 h, 12 h, and 24 h groups. Three overlapping pathways were found between 3 h and 12 h groups; 2 between 12 h and 24 h groups; and 1 between 3 h and 24 h groups. Five, 4, and 6 non-overlapping pathways were observed in 3 h, 12 h, and 24 h groups, respectively. Apart from pathways reported by earlier studies, we identified a novel pathway related to the time-dependent development of cerebral ischemia pathogenesis. The process of apoptosis stimulation by external signals, among the top 10 processes, was consistently enriched in 3 h, 12 h, and 24 h groups; 2, 1, and 2 processes overlapped between 3 h and 12 h groups, 12 h and 24 h groups, and 3 h and 24 h groups, respectively. Four, 5, and 5 non-overlapping processes were found in 3 h, 12 h and 24 h groups, respectively. The presence of apoptotic processes was observed in all the 3 groups; while anti-apoptotic processes only existed in 3 h and 12 h groups. Additionally, according to node degree, network comparison identified 1, 8,and 5 important genes or proteins (e.g. Pyk2, PKC, E2F1, and VEGF-A) in 3 h, 12 h, and 24 h groups, respectively. The Jaccard similarity index revealed a higher level of similarity between 12 h and 24 h groups than that between 3 h and 12 h groups.

conclusionTime-dependent treatment can be utilized to reduce apoptosis, which may activate anti-apoptotic pathways within 12 h after cerebral ischemia-reperfusion injury. Pathway and network analyses may help identify novel pathways and genes implicated in disease pathogenesis.

Indexed as

ApoptosisGene Expression ProfilingSignal TransductionSystems BiologyAnimalsBrain IschemiaMaleMiceReceptors, Tumor Necrosis Factor, Type IReperfusion InjurySoftwareTime FactorsReceptors, Tumor Necrosis Factor, Type I

Identifiers

PMID25884595
PMCPMC4355473
OpenAlexW1990707690

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.