Evidence map›Paper›PMID 23272999›Full record

ArticleBMC infectious diseases2012

Altered serum microRNAs as biomarkers for the early diagnosis of pulmonary tuberculosis infection.

Yuhua Qi, Lunbiao Cui, Yiyue Ge, Zhiyang Shi, Kangchen Zhao, Xiling Guo, Dandan Yang, Hao Yu, Lan Cui, Yunfeng Shan and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 8% 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

81 citing papers in PubMed, 2 syntheses or guidelines pooled it, 140 citations in OpenAlex.

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  14. Expression ofAnnals of medicine and surgery (2012) · 2022
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  20. MiRNA: Biological Regulator in Host-Parasite Interaction during Malaria Infection.International journal of environmental research and public health · 2022
    Review

21 more citing papers are in PubMed but not listed here.

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 2 countries.

Yuhua QiState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, 2 Si Pai Lou, Nanjing 210096, China.
Lunbiao Cui
Yiyue Ge
Zhiyang Shi
Kangchen Zhao
Xiling Guo
Dandan Yang
Hao Yu
Lan Cui
Yunfeng Shan
Minghao Zhou
Hua Wang
Zuhong Lu
Chinese Center For Disease Control and Prevention · CNState Key Laboratory of Digital Medical Engineering

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary tuberculosis (TB) is a highly lethal infectious disease and early diagnosis of TB is critical for the control of disease progression. The objective of this study was to profile a panel of serum microRNAs (miRNAs) as potential biomarkers for the early diagnosis of pulmonary TB infection.

methodsUsing TaqMan Low-Density Array (TLDA) analysis followed by quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) validation, expression levels of miRNAs in serum samples from 30 patients with active tuberculosis and 60 patients with Bordetella pertussis (BP), varicella-zoster virus (VZV) and enterovirus (EV) were analyzed.

resultsThe Low-Density Array data showed that 97 miRNAs were differentially expressed in pulmonary TB patient sera compared with healthy controls (90 up-regulated and 7 down-regulated). Following qRT-PCR confirmation and receiver operational curve (ROC) analysis, three miRNAs (miR-361-5p, miR-889 and miR-576-3p) were shown to distinguish TB infected patients from healthy controls and other microbial infections with moderate sensitivity and specificity (area under curve (AUC) value range, 0.711-0.848). Multiple logistic regression analysis of a combination of these three miRNAs showed an enhanced ability to discriminate between these two groups with an AUC value of 0.863.

conclusionsOur study suggests that altered levels of serum miRNAs have great potential to serve as non-invasive biomarkers for early detection of pulmonary TB infection.

Indexed as

AdultAgedFemaleHumansMaleMicroRNAsMiddle AgedReverse Transcriptase Polymerase Chain ReactionTuberculosis, PulmonaryMicroRNAs

Identifiers

PMID23272999
PMCPMC3568404
OpenAlexW2096238874

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.