Evidence map›Paper›PMID 24488574›Full record

ArticleJournal of molecular neuroscience : MN2014

Time-dependent decrease of clusterin as a potential cerebrospinal fluid biomarker for drug-resistant epilepsy.

Weihua Yu, Dan Chen, Zhihua Wang, Chunlei Zhou, Jing Luo, Yali Xu, Lan Shen, Huan Yin, Shuxin Tao, Zheng Xiao and 3 more

Abstract read
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In one paragraph

Article in Journal of molecular neuroscience : MN, 2014. 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
0.9field-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, 20 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

13 authors at 2 institutions in 1 country.

Weihua YuInstitute of Neuroscience, Chongqing Medical University, Chongqing, 400016, China.
Dan Chen
Zhihua Wang
Chunlei Zhou
Jing Luo
Yali Xu
Lan Shen
Huan Yin
Shuxin Tao
Zheng Xiao
Fei Xiao
Yang Lü
Xuefeng Wang
Chongqing Medical University · CNFirst Affiliated Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our previous study on proteomic analysis has shown that clusterin (CLU) is significantly decreased in the cerebrospinal fluid (CSF) of patients with epilepsy. Therefore, the present study aimed to confirm CLU concentration reduction in the CSF of patients with drug-resistant epilepsy and drug-responsive epilepsy. Fifty-two patients with epilepsy (23 drug resistance and 29 drug effectivity) and 20 control individuals were recruited. The concentrations of CSF and serum CLU were detected. Moreover, alteration of CLU was detected in the rat hippocampus over time after pilocarpine-induced status epilepticus (SE). Our results showed that human CSF-CLU levels were decreased in patients with both drug-resistant epilepsy and drug-responsive epilepsy compared to controls, and concentration of CSF-CLU was obviously lower in drug-resistant epilepsy than in drug-responsive epilepsy. In the pilocarpine-induced seizure rats, expression of neuronal CLU was gradually decreased in a time-dependent manner from acute phase to chronic phase after the onset of SE. In conclusion, CLU level is decreased in the CSF of human epilepsy and the similar alteration is confirmed in a rat model with epilepsy. Therefore, CLU might contribute to the development of epilepsy and be a potential CSF biomarker for resistant epilepsy.

Indexed as

Drug ResistanceAdolescentAdultAnimalsAnticonvulsantsBiomarkersCase-Control StudiesClusterinEpilepsyFemaleHippocampusHumansMaleMiddle AgedRatsRats, Sprague-DawleyAnticonvulsantsBiomarkersClusterin

Identifiers

PMID24488574
OpenAlexW2050099464

What OpenQuestion holds

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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.