Evidence map›Paper›PMID 42404765›Full record

ArticleFrontiers in cellular and infection microbiology2026

From immunoinformatics insights to assay development: establishment of a peptide-based indirect elisa for cynomolgus tuberculosis detection.

Dengling Huang, Mingjie Chen, Qiuyu Wu, Pengwei Liu, Leting Yang, Weixiang Huang, Kunhui Mo, Xiao Wei, Ying Tian, Jianhua Sun and 1 more

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In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Dengling Huang *Nanjing University of Chinese Medicine, Nanjing, China.
Mingjie Chen *School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, China.
Qiuyu WuNanjing University of Chinese Medicine, Nanjing, China.
Pengwei LiuZhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, China.
Leting YangZhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, China.
Weixiang HuangZhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, China.
Kunhui MoZhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, China.
Xiao WeiGuangxi Zhuang Autonomous Region Terrestrial Wildlife Medical-aid and Monitoring Epidemic Diseases Research Center, Nanning, China.
Ying TianZhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, China.
Jianhua SunNanjing University of Chinese Medicine, Nanjing, China.
Likun GongNanjing University of Chinese Medicine, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is a severe zoonotic disease that represents a considerable threat to the health of captive non-human primates (NHPs). Conventional serological diagnostic methods often suffer from insufficient sensitivity and specificity, making them difficult to meet the requirements of large-scale screening in monkey colonies. In this study, we predicted and screened Mycobacterium tuberculosis antigenic epitopes using immunoinformatic approaches, and identified a novel antigenic peptide MP71 from the MPT64 protein. Based on the MP71-KLH conjugate, we further developed an indirect ELISA assay. In both the learning cohort (

Indexed as

Antigens, BacterialMycobacterium tuberculosisPeptidesTuberculosisAnimalsAntibodies, BacterialEnzyme-Linked Immunosorbent AssayEpitopesImmunoinformaticsMacaca fascicularisReproducibility of ResultsSensitivity and SpecificityAntibodies, BacterialAntigens, BacterialEpitopesMPT64 protein, Mycobacterium tuberculosisPeptidescynomolgus monkeysimmunoinformaticsMPT64 proteinMycobacterium tuberculosispeptide-based indirect ELISA

Identifiers

PMID42404765
PMCPMC13328505

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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.