Evidence map›Paper›PMID 37267228›Full record

ArticlePLoS neglected tropical diseases2023

Development and evaluation of a droplet digital PCR assay to detect Brucella in human whole blood.

Jiayin Liu, Zhichun Song, Na Ta, Guozhong Tian, Xiaowen Yang, Hongyan Zhao, Dongri Piao, Yu Fan, Yu Zhang, Hai Jiang

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Research hotspots and development trends ofFrontiers in microbiology · 2025
    Pooled it
  3. Review
  4. Review
  5. Review
  6. Review
  7. Prevalence and detection ofFrontiers in cellular and infection microbiology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Detection and quantification ofThe veterinary quarterly · 2024
    Article
  12. Review
  13. 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 2 institutions in 1 country.

Jiayin LiuNational Key Laboratory of Intelligent Tracing and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhichun SongWengniute Banner Center for Disease Control and Prevention, Chifeng, Inner Mongolia Autonomous Region, China.
Na TaInner Mongolia Autonomous Region Comprehensive Center for Disease Control and Prevention, Hohhot, Inner Mongolia Autonomous Region, China.
Guozhong TianNational Key Laboratory of Intelligent Tracing and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiaowen YangNational Key Laboratory of Intelligent Tracing and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Hongyan ZhaoNational Key Laboratory of Intelligent Tracing and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Dongri PiaoNational Key Laboratory of Intelligent Tracing and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yu FanNational Key Laboratory of Intelligent Tracing and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yu ZhangNational Key Laboratory of Intelligent Tracing and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Hai JiangNational Key Laboratory of Intelligent Tracing and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0001-8681-7211
National Institute for Communicable Disease Control and Prevention · CNInner Mongolia Comprehensive Disease Prevention and Control Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the development of domestic animal husbandry, the spread of brucellosis has accelerated, and the scope of the epidemic has expanded. The timely and accurate diagnosis of human brucellosis continues to challenge clinicians in endemic areas. Droplet digital PCR (ddPCR) technology can quickly and accurately determine DNA load in samples, providing laboratory evidence for diagnosis, prognosis and management of brucellosis patients. In this study, a ddPCR method was established to accurately quantify Brucella DNA load in whole blood samples, and its diagnostic, prognostic, and therapeutic value for human brucellosis was evaluated.

methodsAnnealing temperature, primers, and probe targeting the Brucella bcsp31 gene were optimised, and the sensitivity, specificity and repeatability of the ddPCR assay were assessed using 94 whole blood samples from 61 confirmed and 33 suspected cases. Results were compared with those of quantitative PCR (qPCR). Nine follow-up brucellosis patients were also analysed by the two methods after 2 and 6 months of treatment.

resultsOptimal primer and probe concentrations were 800 nmol/L and 400 nmol/L, respectively, and the optimal annealing temperature was 55.3 °C. The ddPCR results showed that the limit of detection was 1.87 copies per reaction, with high repeatability. The positive rates for ddPCR and qPCR were 88.5% and 75.4% among 61 serum agglutination test (SAT) positive patients. In addition, 57.6% (19/33) of suspected sero-negative samples were positive by ddPCR, but only 36.3% (12/33) were positive by qPCR. Analysis of nine post-therapy follow-up brucellosis patients revealed that the Brucella DNA load in the whole blood samples decreased after 2 and 6 months of treatment, and was slightly increased following relapse and continuous exposure.

conclusionThe ddPCR assay showed good accuracy for whole blood samples, and could be a potential diagnostic and prognostic tool for detecting Brucella.

Indexed as

BrucellaBrucellosisAnimalsHumansPolymerase Chain ReactionReal-Time Polymerase Chain ReactionSensitivity and SpecificitySerum

Identifiers

PMID37267228
PMCPMC10237378
OpenAlexW4379197080

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.