Evidence map›Paper›PMID 41416258›Full record

ArticleInfectious microbes & diseases2025

Indirect ELISAs Based on Nipah and Langya Virus Proteins for Detecting Antibodies in Animals.

Wanqi Wu, Junying She, Yeerzati Tuluhongtayi, Yawen Liu, Xinrui Kang, Xiaoai Zhang, Yang Han, Yuechao Hu, Yan Yang, Jianing Zhang and 7 more

Abstract read
In one paragraph

Article in Infectious microbes & diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. One health (Amsterdam, Netherlands) · 2026
    Review
  2. Article
  3. 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

17 authors.

Wanqi WuDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Junying SheZhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China.
Yeerzati TuluhongtayiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yawen LiuLaboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (IMCAS), Beijing, China.
Xinrui KangLaboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (IMCAS), Beijing, China.
Xiaoai ZhangState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, China.
Yang HanNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yuechao HuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yan YangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jianing ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Beiwei YeNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Qian GaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yang LiuDepartment of Disinfection and Vector Control, Linyi Center for Disease Control and Prevention, Linyi, China.
Wei LiuState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, China.
George Fu GaoDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Yan LiLaboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (IMCAS), Beijing, China.
Jun LiuZhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nipah virus (NiV) and Langya virus (LayV) are emerging zoonotic henipaviruses with serious public health risks. However, no vaccine or drug is available for either disease. To address the persistent threats posed by NiV and LayV, we preliminarily developed indirect ELISAs based on truncated fusion glycoprotein (F) and attachment glycoprotein (G) expressed in a mammalian expression system. We validated these assays using immunized BALB/c mice (for both NiV and LayV), immunized Syrian golden hamsters (for NiV), and goats and a dog that were naturally infected (for LayV). Specificity was assessed using negative sera from mice, ferrets, African green monkeys, hamsters and swine. The ELISAs demonstrated high sensitivity (1:64,000) for both viruses in immunized BALB/c mice, high specificity (approximately 95% in mice and 100% in ferrets, African green monkeys, hamsters and swine), and strong concordance with commercial NiV ELISA kits (>93%). The NiV ELISAs were further validated using immunized Syrian golden hamsters, which had sensitivities of 1:51,200 (F-based) and 1:6400 (G-based). The LayV ELISAs successfully detected antibodies in the sera of goats and a dog naturally infected with LayV. These preliminary indirect ELISAs serve as proof-of-concept tools and may be valuable for vaccine and therapeutic development, serological surveillance studies and future diagnostic platform development.

Indexed as

attachment glycoproteineukaryotic expressionfusion glycoproteinindirect ELISALangya virusNipah virus

Identifiers

PMID41416258
PMCPMC12711263

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.