Evidence map›Paper›PMID 26675167›Full record

ArticlePloS one2015

Circulating microRNA 132-3p and 324-3p Profiles in Patients after Acute Aneurysmal Subarachnoid Hemorrhage.

Xian Wei Su, Anna Ho Yin Chan, Gang Lu, Marie Lin, Johnny Sze, Jing Ye Zhou, Wai Sang Poon, Qiang Liu, Vera Zhi Yuan Zheng, George Kwok Chu Wong

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03344744 (Circulating and CSF miRNA Profile in Patients With Acute Aneurysmal Subarachnoid Haemorrhage), which is not on this map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% 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.

NCT03344744 completednot on this mapstarted 2017, after this paper: background citation

Circulating and CSF miRNA Profile in Patients With Acute Aneurysmal Subarachnoid Haemorrhage

TypeobservationalSponsorChinese University of Hong KongRan2017 to 2023Enrolled100ConditionsSubarachnoid Hemorrhage
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 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

10 authors at 2 institutions in 1 country.

Xian Wei SuDivision of Neurosurgery, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, HKSAR, China.
Anna Ho Yin ChanDivision of Neurosurgery, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, HKSAR, China.
Gang LuDivision of Neurosurgery, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, HKSAR, China.
Marie LinDivision of Neurosurgery, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, HKSAR, China.
Johnny SzeDivision of Neurosurgery, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, HKSAR, China.
Jing Ye ZhouSchool of Biomedical Science, The Chinese University of Hong Kong, HKSAR, China.
Wai Sang PoonDivision of Neurosurgery, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, HKSAR, China.
Qiang LiuSchool of Biomedical Science, The Chinese University of Hong Kong, HKSAR, China.
Vera Zhi Yuan ZhengDivision of Neurosurgery, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, HKSAR, China.
George Kwok Chu WongDivision of Neurosurgery, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, HKSAR, China.
Chinese University of Hong Kong · CNPrince of Wales Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAneurysmal subarachnoid hemorrhage (SAH) is a highly morbid and fatal condition with high rate of cognitive impairment and negative impact in quality of life among survivors. Delayed cerebral infarction (DCI) is one the major factors for these negative outcomes. In this study we compared the circulating microRNA profiles of SAH patients and healthy individuals, and the circulating microRNA profiles of SAH patients with and without DCI.

methodsPeripheral blood samples on Day 7 after the onset of SAH were subjected to microarray analysis with Affymetrix miRNA 3.0 array and quantitative PCR analysis. SAH patients with (N = 20) and without DCI (N = 20) and Healthy controls (N = 20) were included for analyses.

resultsWe demonstrated that 99 miRNAs were found to be dysregulated in the SAH patient group with DCI. 81 miRNAs were upregulated and 18 were downregulated. Findings from KEGG pathway analysis showed that miRNAs and target genes for axon guidance and TGF-beta signaling were involved, implying that the resulted differential miRNA expression pattern reflect the results of SAH instead of etiology of the disease. miR-132-3p and miR-324-3p showed distinctive upregulations in qPCR [miR-132: 9.5 fold (95%CI: 2.3 to 16.7) in DCI group and 3.4 fold (95%CI: 1.0 to 5.8) in Non-DCI group; miR-324: 4924 fold (95%CI: 2620 to 7228) in DCI group and 4545 fold (95%CI: 2408 to 6683) in non-DCI group]. However, there were no significant differences in fold changes between SAH patients with and without DCI [fold change ratios (mean+/-SD): 2.7+/-4.2 and 1.1+/-1.1 for miRNA-132 and miRNA-324].

conclusionOur study demonstrated that as compared to healthy control, miR-132 and miR-324 showed a upregulation in both SAH DCI and Non-DCI groups. However, the differences between the SAH DCI and non-DCI groups were not statistically significant.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkersCase-Control StudiesFemaleGene Expression ProfilingHumansIntracranial AneurysmMaleMicroRNAsMiddle AgedROC CurveSubarachnoid HemorrhageYoung AdultBiomarkersMicroRNAsMIRN132 microRNA, humanMIRN324 microRNA, human

Identifiers

PMID26675167
PMCPMC4682983
OpenAlexW2300932400

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Registered trials

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.