Evidence map›Paper›PMID 29691363›Full record

ArticleEmerging microbes & infections2018

Detection of circulating Mycobacterium tuberculosis-specific DNA by droplet digital PCR for vaccine evaluation in challenged monkeys and TB diagnosis.

Neng Song, Yang Tan, Lingyun Zhang, Wei Luo, Qing Guan, Ming-Zhe Yan, Ruiqi Zuo, Weixiang Liu, Feng-Ling Luo, Xiao-Lian Zhang

Open access · goldAbstract read
In one paragraph

Article in Emerging microbes & infections, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Droplet digital PCR as alternative to microbiological culture forFrontiers in cellular and infection microbiology · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Application of Droplet Digital PCR to Detection ofInfection and drug resistance · 2022
    Review
  14. Frontiers in immunology · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Rapid Detection and Quantification ofFrontiers in microbiology · 2021
    Article
  20. Article
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 4 institutions in 1 country.

Neng SongState Key Laboratory of Virology and Medical Research Institute, Hubei Province Key Laboratory of Allergy and Immunology and Department of Immunology, Wuhan University School of Basic Medical Sciences, Wuhan, 430071, China.
Yang TanState Key Laboratory of Virology and Medical Research Institute, Hubei Province Key Laboratory of Allergy and Immunology and Department of Immunology, Wuhan University School of Basic Medical Sciences, Wuhan, 430071, China.
Lingyun ZhangState Key Laboratory of Virology and Medical Research Institute, Hubei Province Key Laboratory of Allergy and Immunology and Department of Immunology, Wuhan University School of Basic Medical Sciences, Wuhan, 430071, China.
Wei LuoState Key Laboratory of Virology and Medical Research Institute, Hubei Province Key Laboratory of Allergy and Immunology and Department of Immunology, Wuhan University School of Basic Medical Sciences, Wuhan, 430071, China.
Qing GuanState Key Laboratory of Virology and Medical Research Institute, Hubei Province Key Laboratory of Allergy and Immunology and Department of Immunology, Wuhan University School of Basic Medical Sciences, Wuhan, 430071, China.
Ming-Zhe YanWuhan Medical Treatment Center, Wuhan, 430071, China.
Ruiqi ZuoState Key Laboratory of Virology and Medical Research Institute, Hubei Province Key Laboratory of Allergy and Immunology and Department of Immunology, Wuhan University School of Basic Medical Sciences, Wuhan, 430071, China.
Weixiang LiuState Key Laboratory of Virology and Medical Research Institute, Hubei Province Key Laboratory of Allergy and Immunology and Department of Immunology, Wuhan University School of Basic Medical Sciences, Wuhan, 430071, China.
Feng-Ling LuoState Key Laboratory of Virology and Medical Research Institute, Hubei Province Key Laboratory of Allergy and Immunology and Department of Immunology, Wuhan University School of Basic Medical Sciences, Wuhan, 430071, China. fengling810810@163.com.
Xiao-Lian ZhangState Key Laboratory of Virology and Medical Research Institute, Hubei Province Key Laboratory of Allergy and Immunology and Department of Immunology, Wuhan University School of Basic Medical Sciences, Wuhan, 430071, China. zhangxiaolian@whu.edu.cn.
Wuhan University · CNState Key Laboratory of VirologyWuhan Institute of Virology · CNJinyintan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycobacterium tuberculosis (M. tb) is emerging as a more serious pathogen due to the increased multidrug-resistant TB and co-infection of human immunodeficiency virus (HIV). The development of an effective and sensitive detection method is urgently needed for bacterial load evaluation in vaccine development, early TB diagnosis, and TB treatment. Droplet digital polymerase chain reaction (ddPCR) is a newly developed sensitive PCR method for the absolute quantification of nucleic acid concentrations. Here, we used ddPCR to quantify the circulating virulent M. tb-specific CFP10 (10-kDa culture filtrate protein, Rv3874) and Rv1768 DNA copy numbers in the blood samples from Bacille Calmette-Guerin (BCG)-vaccinated and/or virulent M. tb H37Rv-challenged rhesus monkeys. We found that ddPCR was more sensitive compared to real-time fluorescence quantitative PCR (qPCR), as the detection limits of CFP10 were 1.2 copies/μl for ddPCR, but 15.8 copies/μl for qPCR. We demonstrated that ddPCR could detect CFP10 and Rv1768 DNA after 3 weeks of infection and at least two weeks earlier than qPCR in M.tb H37Rv-challenged rhesus monkey models. DdPCR could also successfully quantify CFP10 and Rv1768 DNA copy numbers in clinical TB patients' blood samples (active pulmonary TB, extrapulmonary TB (EPTB), and infant TB). To our knowledge, this study is the first to demonstrate that ddPCR is an effective and sensitive method of measuring the circulating CFP10 and Rv1768 DNA for vaccine development, bacterial load evaluation in vivo, and early TB (including EPTB and infant TB) diagnosis as well.

Indexed as

VaccinesAnimalsBacterial LoadBacterial ProteinsDisease Models, AnimalDNA, BacterialHumansLimit of DetectionMacaca mulattaMycobacterium tuberculosisReal-Time Polymerase Chain ReactionTuberculosisTuberculosis, PulmonaryBacterial ProteinsDNA, BacterialVaccines

Identifiers

PMID29691363
PMCPMC5915492
OpenAlexW2804331934

What OpenQuestion holds

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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.