Evidence map›Paper›PMID 34403421›Full record

ArticlePLoS neglected tropical diseases2021

Paper-based ELISA diagnosis technology for human brucellosis based on a multiepitope fusion protein.

Dehui Yin, Qiongqiong Bai, Xiling Wu, Han Li, Jihong Shao, Mingjun Sun, Hai Jiang, Jingpeng Zhang

Erratum issuedOpen access · goldAbstract readEvaluation Study
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.0field-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

16 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. IgM and IgG Epitope Mapping of the Porin Outer Membrane Protein-2a fromInternational journal of molecular sciences · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Dehui YinKey Lab of Environment and Health, School of Public Health, Xuzhou Medical University, Xuzhou, China.ORCID 0000-0002-7164-9320
Qiongqiong BaiKey Lab of Environment and Health, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Xiling WuKey Lab of Environment and Health, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Han LiDepartment of Infection Control, the First Hospital of Jilin University, Changchun, China.
Jihong ShaoKey Lab of Environment and Health, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Mingjun SunLaboratory of Zoonoses, China Animal Health and Epidemiology Center, Qingdao, China.
Hai JiangState Key Laboratory for Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Jingpeng ZhangKey Lab of Environment and Health, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Xuzhou Medical College · CNChina Animal Health and Epidemiology Center · CNChinese Center For Disease Control and Prevention · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrucellosis, as a serious zoonotic infectious disease, has been recognized as a re-emerging disease in the developing countries worldwide. In china, the incidence of brucellosis is increasing each year, seriously threatening the health of humans as well as animal populations. Despite a quite number of diagnostic methods currently being used for brucellosis, innovative technologies are still needed for its rapid and accurate diagnosis, especially in area where traditional diagnostic is unavailable. METHODOLOGY/PRINCIPAL

findingsIn this study, a total of 22 B cell linear epitopes were predicted from five Brucella outer membrane proteins (OMPs) using an immunoinformatic approach. These epitopes were then chemically synthesized, and with the method of indirect ELISA (iELISA), each of them displayed a certain degree of capability in identifying human brucellosis positive sera. Subsequently, a fusion protein consisting of the 22 predicted epitopes was prokaryotically expressed and used as diagnostic antigen in a newly established brucellosis testing method, nano-ZnO modified paper-based ELISA (nano-p-ELISA). According to the verifying test using a collection of sera collected from brucellosis and non-brucellosis patients, the sensitivity and specificity of multiepitope based nano-p-ELISA were 92.38% and 98.35% respectively. The positive predictive value was 98.26% and the negative predictive value was 91.67%. The multiepitope based fusion protein also displayed significantly higher specificity than Brucella lipopolysaccharide (LPS) antigen.

conclusionsB cell epitopes are important candidates for serologically testing brucellosis. Multiepitope fusion protein based nano-p-ELISA displayed significantly sensitivity and specificity compared to Brucella LPS antigen. The strategy applied in this study will be helpful to develop rapid and accurate diagnostic method for brucellosis in human as well as animal populations.

Indexed as

Antigens, BacterialBacterial Outer Membrane ProteinsBrucellaBrucellosisChinaEnzyme-Linked Immunosorbent AssayEpitopesHumansSensitivity and SpecificityAntigens, BacterialBacterial Outer Membrane ProteinsEpitopes

Identifiers

PMID34403421
PMCPMC8396774
OpenAlexW3138890418

What OpenQuestion holds

Textmetadata
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.