Evidence map›Paper›PMID 23073777›Full record

ArticleMolecular biology reports2013

Serum microRNA expression profile as a biomarker for the diagnosis of pertussis.

Yiyue Ge, Kangchen Zhao, Yuhua Qi, Xiaoyan Min, Zhiyang Shi, Xian Qi, Yunfeng Shan, Lan Cui, Minghao Zhou, Yong Wang and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

18 citing papers in PubMed, 39 citations in OpenAlex.

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  12. Anti-NMDA Receptor Encephalitis and Vaccination.International journal of molecular sciences · 2017
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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.

Yiyue GeInstitute of Pathogen Microbiology, Jiangsu Provincial Center for Disease Prevention and Control, Key Laboratories of Enteric Pathogenic Microbiology, Ministry of Health, Nanjing, 210009, China.
Kangchen Zhao
Yuhua Qi
Xiaoyan Min
Zhiyang Shi
Xian Qi
Yunfeng Shan
Lan Cui
Minghao Zhou
Yong Wang
Hua Wang
Lunbiao Cui
Chinese Center For Disease Control and Prevention · CNJiangsu Provincial Center for Disease Control and Prevention · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pertussis is a highly contagious, respiratory disease associated with substantial morbidity and mortality. A rapid and reliable diagnostic method is essential for appropriate treatment and prevention. Expression profiles of circulating microRNAs (miRNAs) have been proven as new non-invasive biomarkers for infectious diseases. We aimed to investigated the serum miRNA profile in pertussis patients and explored its potential as a novel diagnostic biomarker for pertussis. Among 664 different miRNAs analyzed using a miRNA array, 50 were overexpressed and 81 were underexpressed in the serum of pertussis patients. Expression levels of seven candidate miRNAs were further evaluated by real-time qRT-PCR. A panel of five miRNAs (miR-202, miR-342-5p, miR-206, miR-487b, miR-576-5p) was confirmed overexpressed in pertussis patients (p < 0.05). Risk score and receiver-operating characteristic (ROC) analysis showed that the area under the curve of the five-member miRNA profile was 0.980. At an optimal cutoff value (0.707), this panel of miRNAs yielded a sensitivity of 97.4 % and a specificity of 94.3 %. These data suggest that the five-member serum miRNA profile may serve as a new biomarker for pertussis diagnosis with high specificity and sensitivity.

Indexed as

Area Under CurveBiomarkersCase-Control StudiesFemaleGene Expression RegulationHumansInfantMaleMicroRNAsReal-Time Polymerase Chain ReactionRiskROC CurveTranscriptomeWhooping CoughBiomarkersMicroRNAsMIRN576 microRNA, human

Identifiers

PMID23073777
OpenAlexW2072038660

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.