Evidence map›Paper›PMID 42174508›Full record

ArticleBMC infectious diseases2026

Developing a multi-antigen fusion protein (Tp15-17-47) serological test to improve neurosyphilis diagnosis.

Ziliang Deng, Wenjia Weng, Yuanyuan He, Yan Xu, Tayier Tuerhong, Lin Yang, Bingbing Song, Xiaohui Zhang, Ligang Yang, Liuyuan Wang and 5 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Ziliang Deng *School of Public Health, Southern Medical University, 1838 Guangzhou Blvd, N., Guangzhou, Guangdong, 510515, China.
Wenjia Weng *Department of Dermatology, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Yuanyuan He *School of Public Health, Southern Medical University, 1838 Guangzhou Blvd, N., Guangzhou, Guangdong, 510515, China.
Yan Xu *Afflillated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, Guangdong, China.
Tayier Tuerhong *Department of Dermatology, The First People's Hospital of Kashi, Kashi, Xinjiang, China.
Lin YangSchool of Public Health, Southern Medical University, 1838 Guangzhou Blvd, N., Guangzhou, Guangdong, 510515, China.
Bingbing SongDepartment of Dermatology, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Xiaohui ZhangDermatology Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Ligang YangDermatology Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Liuyuan WangDermatology Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Renaguli MaimaitiDepartment of Dermatology, The First People's Hospital of Kashi, Kashi, Xinjiang, China.
Gang ZhengDepartment of Dermatology, The First People's Hospital of Kashi, Kashi, Xinjiang, China. 76371297@qq.com.
Shixing TangInstitute for Global Health of Southern Medical Univeristy, Dermatology Hospital of Southern Medical Univeristy, Guangzhou, Guangdong, China. tamgshixing@smu.edu.cn.
Wujian KeInstitute of Dermatology, Hospital for Skin Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, Jiangsu, China. kewujian@pumcderm.cams.cn.
Haiying WangSchool of Public Health, Southern Medical University, 1838 Guangzhou Blvd, N., Guangzhou, Guangdong, 510515, China. yingzi224926@163.com.

Funding

Basic Research Incubation Project of Dermatology Hospital, Southern Medical University BR202406Beijing Municipal Administration of Hospitals Incubating Program px2023704CAMS Innovation Fund for Medical Sciences 2025-I2M-C&T-B-081European Research Council Consolidator Grant 101171779Horizon Europe Program ERC-2024-COGHospital-level Project of The First People's Hospital of Kashi KDYY202002National Natural Science Foundation of China 82072321Natural Science Foundation of Guangdong Province 2025A1515011165Zhujiang Scholar · Tianshan Talent Program KDYY202023
6 · The paper itself

Abstract

objectivesOur previous research identified a luciferase immunosorbent assay (LISA) for detecting serum antibodies against Tp17 and Tp47 as a potential tool for diagnosing neurosyphilis (NS). In this study, we developed a serological test based on a multi-antigen fusion protein (Tp15-17-47) to simplify the detection process and improve the diagnostic accuracy for NS.

methodsThe Tp15, Tp17, and Tp47 genes were amplified separately by polymerase chain reaction (PCR) and assembled into a fusion gene coding for a tripartite fusion protein antigen using overlap PCR. This recombinant Tp15-17-47 antigen was used retrospectively to detect serum anti-Tp15-17-47 IgG antibodies in 434 HIV-negative patients suspected of NS from cohorts in Beijing and Guangzhou. Two diagnostic prediction models were developed using stepwise logistic regression.

resultsSerum anti-Tp15-17-47 IgG antibodies demonstrated moderate diagnostic capability for NS in the development cohort, with an area under the curve (AUC) of 0.791 (95% CI: 0.735-0.846). An optimized NS prediction model substituting anti-Tp15-17-47 antibodies for TRUST/RPR outperformed the base NS diagnostic model. The optimized model achieved an AUC of 0.877 (95% CI: 0.835-0.919) compared to 0.843 (95% CI: 0.795-0.890) for the base model in the development cohort (p = 0.035). This superior performance was confirmed in the validation cohort (AUC: 0.880, 95% CI: 0.827-0.933 vs. 0.792, 95% CI: 0.726-0.859; p < 0.001). Decision curve analysis (DCA) revealed that the optimized model provided greater net benefit than the base model across threshold probabilities ranging from 0.10 to 0.95 in both cohorts.

conclusionsQuantitative profiling of serum IgG targeting the recombinant treponemal antigen Tp15-17-47, along with its diagnostic model, exhibited robust discriminatory power for neurosyphilis diagnosis, which supports the viability of replacing lumbar puncture with this less invasive serological strategy for neurosyphilis ascertainment.

Indexed as

Antibodies, BacterialAntigens, BacterialNeurosyphilisRecombinant Fusion ProteinsSerologic TestsTreponema pallidumAdultChinaFemaleHumansImmunoglobulin GMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityAntibodies, BacterialAntigens, BacterialImmunoglobulin GRecombinant Fusion ProteinsDiagnosisLISANeurosyphilisPrediction modelTp15-17-47Treponemal antibodies

Identifiers

PMID42174508
PMCPMC13383389

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