Evidence map›Paper›PMID 38738553›Full record

ArticleEmerging microbes & infections2024

Influenza D virus infection in China, 2022-2023.

Jieshi Yu, Zhenyu Wen, Wanke Hu, Mingwang Chen, Yuanlong Zhang, Shasha Liu, Gang Wang, Zhao Wang, Dan Wang, Shao-Lun Zhai and 3 more

Abstract read
In one paragraph

Article in Emerging microbes & infections, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Influenza D Virus in Black Donkeys, Northern China.Emerging infectious diseases · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

13 authors.

Jieshi YuState Key Laboratory of Swine and Poultry Breeding Industry, Agro-biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, People's Republic of China.ORCID 0000-0003-1466-1339
Zhenyu WenNational and Regional Joint Engineering Laboratory for Medicament of Zoonosis Prevention and Control, Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou, People's Republic of China.
Wanke HuCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, People's Republic of China.
Mingwang ChenZhongshan Animal Disease Control Center, Zhongshan, People's Republic of China.
Yuanlong ZhangGuangdong Animal Disease Control Center, Guangzhou, People's Republic of China.
Shasha LiuCollege of Veterinary Medicine, South China Agricultural University, Guangzhou, People's Republic of China.
Gang WangKey Laboratory of Livestock Disease Prevention of Guangdong Province, Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, People's Republic of China.
Zhao WangSchool of Laboratory Animal & Shandong Laboratory Animal Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, People's Republic of China.
Dan WangMaxwell H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, KY, USA.
Shao-Lun ZhaiKey Laboratory of Livestock Disease Prevention of Guangdong Province, Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, People's Republic of China.
Wen-Kang WeiState Key Laboratory of Swine and Poultry Breeding Industry, Agro-biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, People's Republic of China.
Tianyu LiZhongshan Animal Disease Control Center, Zhongshan, People's Republic of China.
Ming LiaoNational and Regional Joint Engineering Laboratory for Medicament of Zoonosis Prevention and Control, Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza D virus (IDV) plays an important role in the bovine respiratory disease (BRD) complex. Its potential for the zoonotic transmission is of particular concern. In China, IDV has previously been identified in agricultural animals by molecular surveys with no live virus isolates reported. In this study, live IDVs were successfully isolated from cattle in China, which prompted us to further investigate the national prevalence, antigenic property, and infection biology of the virus. IDV RNA was detected in 11.1% (51/460) of cattle throughout the country in 2022-2023. Moreover, we conducted the first IDV serosurveillance in China, revealing a high seroprevalence (91.4%, 393/430) of IDV in cattle during the 2022-2023 winter season. Notably, all the 16 provinces from which cattle originated possessed seropositive animals, and 3 of them displayed the 100% IDV-seropositivity rate. In contrast, a very low seroprevalence of IDV was observed in pigs (3%, 3/100) and goats (1%, 1/100) during the same period of investigation. Furthermore, besides D/Yama2019 lineage-like IDVs, we discovered the D/660 lineage-like IDV in Chinese cattle, which has not been detected to date in Asia. Finally, the Chinese IDVs replicated robustly in diverse cell lines but less efficiently in the swine cell line. Considering the nationwide distribution, high seroprevalence, and appreciably genetic diversity, further studies are required to fully evaluate the risk of Chinese IDVs for both animal and human health in China, which can be evidently facilitated by IDV isolates reported in this study.

Indexed as

Cattle DiseasesOrthomyxoviridae InfectionsPhylogenyThogotovirusAnimalsAntibodies, ViralCattleChinaDeltainfluenzavirusGoatsHumansSeroepidemiologic StudiesSwineSwine DiseasesAntibodies, Viralantigenic characterizationInfluenza D virusphylogenetic lineageseroprevalence

Identifiers

PMID38738553
PMCPMC11097708

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.