Evidence map›Paper›PMID 42626796›Full record

ArticleTransboundary and emerging diseases2026

Highly Virulent Getah Virus Subgroup GIII-c Emerging in Pigs in China.

Zhaoying Xiang, Xingchen Wang, Yuchen Huang, Xinyu Gao, Lei Zhou, Xinna Ge, Jun Han, Yongning Zhang, Hanchun Yang

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Zhaoying XiangState Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China, cau.edu.cn.ORCID https://orcid.org/0009-0004-6642-4495
Xingchen WangSwine Farming Division, Guangdong Haid Group Co., Ltd., Haida Science Park, Guangzhou 511400, China.
Yuchen HuangState Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China, cau.edu.cn.ORCID https://orcid.org/0009-0009-0307-7023
Xinyu GaoState Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China, cau.edu.cn.
Lei ZhouState Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China, cau.edu.cn.ORCID https://orcid.org/0000-0002-8837-3965
Xinna GeState Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China, cau.edu.cn.
Jun HanState Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China, cau.edu.cn.ORCID https://orcid.org/0000-0002-7104-7223
Yongning ZhangState Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China, cau.edu.cn.ORCID https://orcid.org/0000-0002-0134-2761
Hanchun YangState Key Laboratory of Veterinary Public Health and Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China, cau.edu.cn.ORCID https://orcid.org/0000-0003-3359-3925

Funding

2115 Talent Development Program of China Agricultural UniversityChina Agriculture Research System of MOF and MARA CARS-34
6 · The paper itself

Abstract

Getah virus (GETV) is an emerging mosquito-borne zoonotic alphavirus that poses a threat to multiple animal species, particularly pigs, and carries significant public health implications. Nevertheless, the molecular evolution and pathogenicity of circulating GETV strains in China remain incompletely defined. In this study, three GETV strains were isolated from diseased piglets during concurrent outbreaks on three geographically distinct commercial pig farms in China in August 2025. The isolates shared 99.67%-99.91% genomic nucleotide (nt) identity and were phylogenetically classified into subgroup GⅢ-c. Amino acid sequence alignment against 136 reference strains from the GenBank database identified four substitutions in Nsp1 and Nsp3 that were absent from all reference strains, along with six conserved residues largely concentrated in a distinct subclade formed by the three isolates and five related reference strains. Pathogenicity evaluation using a representative isolate (GETV-YY/2025) in 7-day-old piglets revealed that the infected animals developed severe clinical signs, including fever, diarrhea, ataxia, and hindlimb paralysis, with a high mortality rate of 77.8% (7/9). The strain exhibited broad tissue tropism, with high viral loads detected in pharyngeal and rectal swabs, serum, and multiple visceral organs as early as 1 day postinoculation, accompanied by obvious cerebral vascular congestion and pulmonary hemorrhage. Notably, efficient contact transmission to sentinel piglets was observed, resulting in one fatality among the three contact animals (33.3%). Collectively, these findings characterize the emergence of a highly virulent GETV subgroup GⅢ-c circulating in Chinese pig populations, highlighting its capacity for efficient contact transmission and severe pathogenesis in neonatal pigs. This study provides critical insights into the evolutionary dynamics of GETV and informs the urgent development of prevention and control strategies against this re-emerging veterinary pathogen.

Indexed as

AlphavirusAlphavirus InfectionsCommunicable Diseases, EmergingSwine DiseasesAnimalsChinaDisease OutbreaksPhylogenySwineVirulencecontact transmissionGetah viruspathogenicityphylogenetic analysissubgroup GⅢ-c

Identifiers

PMID42626796
PMCPMC13494858

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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.