Evidence map›Paper›PMID 41343615›Full record

ArticlePLoS neglected tropical diseases2025

Development of monoclonal antibodies against E1 protein of Chikungunya virus.

Kun Wen, Zhihong Zhou, Peipei Xu, Biao Di, Jialing Song, Cuilian Yang, Lili Zhan, Chongquan Zhao, Mei Xu, Jianpiao Cai and 7 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. 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

17 authors.

Kun WenGuangDong Engineering Technology Research Center of Rapid Detection for Pathogenic Microorganisms, Zhujiang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Zhihong ZhouGuangDong Engineering Technology Research Center of Rapid Detection for Pathogenic Microorganisms, Zhujiang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Peipei XuGuangDong Engineering Technology Research Center of Rapid Detection for Pathogenic Microorganisms, Zhujiang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Biao DiCenter for Disease Control and Prevention of Guangzhou, Guangdong, People's Republic of China.
Jialing SongGuangDong Engineering Technology Research Center of Rapid Detection for Pathogenic Microorganisms, Zhujiang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Cuilian YangDepartment of Blood Transfusion, Zhujiang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Lili ZhanGuangDong Engineering Technology Research Center of Rapid Detection for Pathogenic Microorganisms, Zhujiang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Chongquan ZhaoGuangDong Engineering Technology Research Center of Rapid Detection for Pathogenic Microorganisms, Zhujiang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Mei XuGuangDong Engineering Technology Research Center of Rapid Detection for Pathogenic Microorganisms, Zhujiang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Jianpiao CaiState Key Laboratory of Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, People's Republic of China.
Shuofeng YuanGuangDong Engineering Technology Research Center of Rapid Detection for Pathogenic Microorganisms, Zhujiang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Kelvin Kai-Wang ToState Key Laboratory of Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, People's Republic of China.
Wenxi FengShunde District Center for Disease Control and Prevention, Foshan city, People's Republic of China.
Jasper Fuk-Woo ChanState Key Laboratory of Emerging Infectious Diseases, Carol Yu Centre for Infection, Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, People's Republic of China.
Hongwei ZhouGuangDong Engineering Technology Research Center of Rapid Detection for Pathogenic Microorganisms, Zhujiang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Yue ChenCenter for Disease Prevention and Control of Southern Theatre Command of PLA, Guangdong Arbovirus Diseases Emergency Technology Research Center, Guangzhou, People's Republic of China.
Xixia DingGuangDong Engineering Technology Research Center of Rapid Detection for Pathogenic Microorganisms, Zhujiang Hospital, Southern Medical University, Guangzhou, People's Republic of China.ORCID 0000-0002-5790-6810

Funding

Guangdong Basic and Applied Basic Research FoundationPartnership Programme of Enhancing Laboratory Surveillance and Investigation of Emerging Infectious Diseases and Antimicrobial Resistance for the Department of Health of the Hong Kong Special Administrative Region Government
6 · The paper itself

Abstract

Chikungunya fever (CF) is a mosquito-borne viral disease caused by Chikungunya virus (CHIKV) that is being increasingly reported in previously non-endemic areas, including Guangdong, China. Despite the low mortality rate associated with CF, some patients may develop chronic joint pain that persists for months or years. Moreover, due to the similarities in symptomatology between CHIKV and other arboviruses, clinical diagnosis without laboratory confirmation is inaccurate. The CHIKV envelope protein E1, critical for viral entry and assembly, is a promising diagnostic and therapeutic target. In this study, we expressed the CHIKV E1 protein in Escherichia coli and developed 16 monoclonal antibodies (mAbs) against E1 to establish an enzyme immunoassay (EIA). The EIA specifically detects CHIKV E1 with no cross-reactivity to other major human-pathogenic arboviruses, including dengue virus (DENV). We evaluated its performance in serum samples of 84 CHIKV-infected patients, with qRT-PCR as the reference standard, and compared it with 93 healthy and 94 DENV-1-infected controls. The assay achieved a sensitivity of 94.05% (95% CI: 87.3-97.3) and a specificity of 98.4% (95% CI: 95.3-99.5). This E1 antigen-based EIA enables rapid and accurate diagnosis of CHIKV infection to facilitate the control of outbreaks of this emerging arbovirus.

Indexed as

Antibodies, MonoclonalAntibodies, ViralChikungunya FeverChikungunya virusViral Envelope ProteinsAnimalsChinaEscherichia coliFemaleHumansImmunoenzyme TechniquesMaleSensitivity and SpecificityAntibodies, MonoclonalAntibodies, ViralE1 envelope protein, Chikungunya virusViral Envelope Proteins

Identifiers

PMID41343615
PMCPMC12700421

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Registered trials

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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.