Evidence map›Paper›PMID 29196714›Full record

ArticleScientific reports2017

Screening and identification of lncRNAs as potential biomarkers for pulmonary tuberculosis.

Zhong-Liang Chen, Li-Liang Wei, Li-Ying Shi, Meng Li, Ting-Ting Jiang, Jing Chen, Chang-Ming Liu, Su Yang, Hui-Hui Tu, Yu-Ting Hu and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

32 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Review
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  7. LncRNAAnnals of medicine · 2025
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  8. Review
  9. Long non-coding RNA transcripts inNon-coding RNA research · 2025
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  12. Review
  13. Article
  14. Article
  15. Article
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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

14 authors at 4 institutions in 1 country.

Zhong-Liang ChenInstitute of Cell Biology, Zhejiang University, Hangzhou, 310058, P.R. China.
Li-Liang WeiDepartment of Respiratory Medicine, The Sixth Hospital of Shaoxing, Shaoxing, 312000, P.R. China.
Li-Ying ShiDepartment of Clinical Laboratory, Zhejiang Hospital, Hangzhou, 310013, P.R. China.
Meng LiDepartment of Clinical Laboratory, Zhejiang Hospital, Hangzhou, 310013, P.R. China.
Ting-Ting JiangSouth China University of Technology School of Medicine, Guangzhou, 510006, P.R. China.
Jing ChenInstitute of Cell Biology, Zhejiang University, Hangzhou, 310058, P.R. China.
Chang-Ming LiuInstitute of Cell Biology, Zhejiang University, Hangzhou, 310058, P.R. China.
Su YangInstitute of Cell Biology, Zhejiang University, Hangzhou, 310058, P.R. China.
Hui-Hui TuInstitute of Cell Biology, Zhejiang University, Hangzhou, 310058, P.R. China.
Yu-Ting HuSouth China University of Technology School of Medicine, Guangzhou, 510006, P.R. China.
Lin GanSouth China University of Technology School of Medicine, Guangzhou, 510006, P.R. China.
Lian-Gen MaoInstitute of Cell Biology, Zhejiang University, Hangzhou, 310058, P.R. China.
Chong WangInstitute of Cell Biology, Zhejiang University, Hangzhou, 310058, P.R. China.
Ji-Cheng LiInstitute of Cell Biology, Zhejiang University, Hangzhou, 310058, P.R. China. lijichen@zju.edu.cn.
Zhejiang University · CNSouth China University of Technology · CNZhejiang Hospital · CNShaoxing People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary tuberculosis (TB) is among the diseases with the highest morbidity and mortality worldwide. Effective diagnostic methods for TB are lacking. In this study, we investigated long non-coding RNAs (lncRNAs) in plasma using microarray and the potential diagnostic value of lncRNAs for TB. We found a total of 163 up-regulated lncRNAs and 348 down-regulated lncRNAs. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and coding-noncoding co-expression (CNC) analyses showed that functions of differentially expressed lncRNAs were mainly enriched in the regulation of alpha-beta T cell activation and the T cell receptor signalling pathway. Four differentially expressed lncRNAs, NR_038221 (fold change = 3.79, P < 0.01), NR_003142 (fold change = 1.69, P < 0.05), ENST00000570366 (fold change = 3.04, P < 0.05), and ENST00000422183 (fold change = 2.11, P < 0.001), were verified using RT-qPCR. Among those, NR_038221, NR_003142, and ENST00000570366 were found to be up-regulated, while ENST00000422183 was down-regulated. The value of the area under the curve (AUC) for the diagnostic model consisting of the four lncRNAs was 0.845 (sensitivity = 79.2%, specificity = 75%). We further predicted 85 mRNAs and 404 miRNAs that potentially interact with these lncRNAs. Our study revealed the potential value of lncRNAs as biomarkers for early diagnosis of TB and the underlying mechanisms of these abnormally expressed lncRNAs in the pathogenesis of TB.

Indexed as

BiomarkersMycobacterium tuberculosisAdultComputational BiologyFemaleGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansMaleMiddle AgedMolecular Sequence AnnotationRNA, Long NoncodingRNA, MessengerROC CurveTranscriptomeBiomarkersRNA, Long NoncodingRNA, Messenger

Identifiers

PMID29196714
PMCPMC5711916
OpenAlexW2768111281

What OpenQuestion holds

Textmetadata
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.