Evidence map›Paper›PMID 40431540›Full record

ReviewVeterinary sciences2025

A Review of Cross-Species Transmission Mechanisms of Influenza Viruses.

Xianfeng Hui, Xiaowei Tian, Shihuan Ding, Ge Gao, Jiyan Cui, Chengguang Zhang, Tiesuo Zhao, Liangwei Duan, Hui Wang

Abstract readReview
In one paragraph

Review in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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.

Xianfeng HuiDepartment of Immunology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang 453003, China.
Xiaowei TianDepartment of Pathogenic Biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang 453003, China.
Shihuan DingDepartment of Immunology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang 453003, China.
Ge GaoHenan Key Laboratory of Immunology and Targeted Drug, Xinxiang Medical University, Xinxiang 453003, China.
Jiyan CuiDepartment of Immunology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang 453003, China.
Chengguang ZhangNational Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China.
Tiesuo ZhaoDepartment of Immunology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang 453003, China.
Liangwei DuanHenan Key Laboratory of Immunology and Targeted Drug, Xinxiang Medical University, Xinxiang 453003, China.
Hui WangHenan Key Laboratory of Immunology and Targeted Drug, Xinxiang Medical University, Xinxiang 453003, China.ORCID 0000-0002-2454-3814

Funding

National Natural Science Foundation of China 32300120Natural Science Foundation of Henan Province 232300421315the 111 Project D20036The Key Scientific Research Project of Higher Education of Henan Province 25A310013
6 · The paper itself

Abstract

The cross-species transmission of influenza viruses represents a critical link in the pandemic of zoonotic diseases. This mechanism involves multi-level interactions, including viral genetic adaptability, host-receptor compatibility, and ecological drivers. Recent studies have highlighted the essential role of mutations in hemagglutinin and neuraminidase in overcoming host barriers, while elucidating the differences in the distribution of host sialic acid receptors. Furthermore, the "mixer" function of intermediate hosts, such as pigs, plays a significant role in viral redistribution. Advances in high-throughput sequencing and structural biology technologies have gradually resolved key molecular markers and host restriction factors associated with these viruses. However, challenges remain in understanding the dynamic evolutionary patterns of virus-host interaction networks, developing real-time early warning capabilities for cross-species transmission, and formulating broad-spectrum prevention and control strategies. Moving forward, it is essential to integrate multidisciplinary approaches to establish a multi-level defense system, leveraging the 'One Health' monitoring network, artificial intelligence prediction models, and new vaccine research and development to address the ongoing threat of cross-species transmission of influenza viruses. This paper systematically reviews the research progress and discusses bottlenecks in this field, providing a theoretical foundation for optimizing future prevention and control strategies.

Indexed as

cross-species transmissioninfluenza virusmechanismsOne Health

Identifiers

PMID40431540
PMCPMC12115712

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.