Evidence map›Paper›PMID 24586438›Full record

ArticlePloS one2014

Identification of serum microRNA biomarkers for tuberculosis using RNA-seq.

Hongtai Zhang, Zhaogang Sun, Wenjing Wei, Zhonghui Liu, Joy Fleming, Shuai Zhang, Nan Lin, Ming Wang, Maoshan Chen, Yuhui Xu and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 3 pooled it
2.7field-weighted citation impact, top 10% 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

50 citing papers in PubMed, 3 syntheses or guidelines pooled it, 89 citations in OpenAlex.

  1. Pooled it
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  4. Trial
  5. Review
  6. Host-directed microRNA-based intervention against intracellularFrontiers in cellular and infection microbiology · 2026
    Article
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  8. Article
  9. Circulating MicroRNAs as diagnostic indicators in tuberculous Meningitis-A case -control study in North Indian population.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
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  12. Article
  13. Article
  14. Article
  15. Different modalities of host cell death and their impact onAmerican journal of physiology. Cell physiology · 2022
    Review
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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 6 institutions in 1 country.

Hongtai ZhangDepartment of Space Radiobiology, Key Laboratory of Heavy Ion Radiation Biology and Medicine, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China ; Key Laboratory of Non-coding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China ; University of Chinese Academy of Sciences, Beijing, China.
Zhaogang SunBeijing Key Laboratory of Drug Resistance in Tuberculosis, Beijing Chest Hospital, Capital Medical University, Beijing, China.
Wenjing WeiKey Laboratory of Non-coding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Zhonghui LiuHuazhong Agriculture University, Hubei, China.
Joy FlemingKey Laboratory of Non-coding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Shuai ZhangKey Laboratory of Non-coding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Nan LinCollege of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China.
Ming WangKey Laboratory of Non-coding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Maoshan ChenBeijing Genomics Institute, Shenzhen 518083, China.
Yuhui XuBeijing Key Laboratory of Drug Resistance in Tuberculosis, Beijing Chest Hospital, Capital Medical University, Beijing, China.
Jie ZhouThe 4th Peoples' Hospital, Foshan City, Guangdong Province, China.
Chuanyou LiBeijing Chest Hospital, Capital Medical University, Beijing, China.
Lijun BiKey Laboratory of Non-coding RNA, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Guangming ZhouDepartment of Space Radiobiology, Key Laboratory of Heavy Ion Radiation Biology and Medicine, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Institute of Biophysics · CNCapital Medical University · CNChinese Academy of Sciences · CNBGI Group (China) · CNFujian Agriculture and Forestry University · CNInstitute of Modern Physics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) remains a significant human health issue. More effective biomarkers for use in tuberculosis prevention, diagnosis, and treatment, including markers that can discriminate between healthy individuals and those with latent infection, are urgently needed. To identify a set of such markers, we used Solexa sequencing to examine microRNA expression in the serum of patients with active disease, healthy individuals with latent TB, and those with or without prior BCG inoculation. We identified 24 microRNAs that are up-regulated (2.85-1285.93 fold) and 6 microRNAs that are down-regulated (0.003-0.11 fold) (P<0.05) in patients with active TB relative to the three groups of healthy controls. In addition, 75 microRNAs were up-regulated (2.05-2454.58 fold) and 11 were down-regulated (0.001-0.42 fold) (P<0.05) in latent-TB infected individuals relative to BCG- inoculated individuals. Of interest, 134 microRNAs were differentially-expressed in BCG-inoculated relative to un-inoculated individuals (18 up-regulated 2.9-499.29 fold, 116 down-regulated 0.0002-0.5 fold), providing insights into the effects of BCG inoculation at the microRNA level. Target prediction of differentially-expressed microRNAs by microRNA-Gene Network analysis and analysis of pathways affected suggest that regulation of the host immune system by microRNAs is likely to be one of the main factors in the pathogenesis of tuberculosis. qRT-PCR validation indicated that hsa-miR-196b and hsa-miR-376c have potential as markers for active TB disease. The microRNA differential-expression profiles generated in this study provide a good foundation for the development of markers for TB diagnosis, and for investigations on the role of microRNAs in BCG-inoculated and latent-infected individuals.

Indexed as

Base SequenceBiomarkersChinaDNA PrimersGene Expression RegulationHumansMicroRNAsMolecular Sequence DataReal-Time Polymerase Chain ReactionSequence Analysis, DNATuberculosisBiomarkersDNA PrimersMicroRNAsMIRN196 microRNA, humanMIRN376C microRNA, human

Identifiers

PMID24586438
PMCPMC3930592
OpenAlexW2015449387

What OpenQuestion holds

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LicenceCC BY
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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.