Evidence map›Paper›PMID 36543317›Full record

ArticleVirus research2023

Pathogenicity and anti-infection immunity of animal H3N2 and H6N6 subtype influenza virus cross-species infection with tree shrews.

Qihui Wang, Xia Zeng, Shen Tang, Li Lan, Xinhang Wang, Zhenping Lai, Zihe Liu, Xiaoqiong Hou, Lingxi Gao, Chenxia Yun and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Virus research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 39% of its field
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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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 at 2 institutions in 1 country.

Qihui WangDepartment of Immunology, Guangxi Medical University, Nanning 530021, China; Guangxi Colleges and Universities Key Laboratory of Preclinical Medicine, Guangxi Medical University, Nanning 530021, China.
Xia ZengDepartment of Immunology, Guangxi Medical University, Nanning 530021, China; Guangxi Colleges and Universities Key Laboratory of Preclinical Medicine, Guangxi Medical University, Nanning 530021, China.
Shen TangDepartment of Immunology, Guangxi Medical University, Nanning 530021, China; Guangxi Colleges and Universities Key Laboratory of Preclinical Medicine, Guangxi Medical University, Nanning 530021, China.
Li LanDepartment of Immunology, Guangxi Medical University, Nanning 530021, China.
Xinhang WangDepartment of Immunology, Guangxi Medical University, Nanning 530021, China.
Zhenping LaiDepartment of Microbiology, Guangxi Medical University, Nanning 530021, China.
Zihe LiuDepartment of Immunology, Guangxi Medical University, Nanning 530021, China.
Xiaoqiong HouDepartment of Immunology, Guangxi Medical University, Nanning 530021, China.
Lingxi GaoDepartment of Microbiology, Guangxi Medical University, Nanning 530021, China.
Chenxia YunGuangxi Key Laboratory of Translational Medicine for Treating High-Incidence Infectious Diseases with Integrative Medicine, Guangxi University of Chinese Medicine, Nanning 530200, China.
Zengfeng ZhangGuangxi Colleges and Universities Key Laboratory of Preclinical Medicine, Guangxi Medical University, Nanning 530021, China; Department of Microbiology, Guangxi Medical University, Nanning 530021, China. Electronic address: zfzhangphd@163.com.
Jing LengDepartment of Immunology, Guangxi Medical University, Nanning 530021, China; Guangxi Key Laboratory of Translational Medicine for Treating High-Incidence Infectious Diseases with Integrative Medicine, Guangxi University of Chinese Medicine, Nanning 530200, China. Electronic address: lj986771558@163.com.
Xiaohui FanGuangxi Colleges and Universities Key Laboratory of Preclinical Medicine, Guangxi Medical University, Nanning 530021, China; Department of Microbiology, Guangxi Medical University, Nanning 530021, China. Electronic address: fanxiaohui63@163.com.
Guangxi Medical University · CNGuangxi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal influenza viruses can spread across species and pose a fatal threat to human health due to the high pathogenicity and mortality. Animal models are crucial for studying cross-species infection and the pathogenesis of influenza viruses. Tupaia belangeri (tree shrew) has been emerging as an animal model for multiple human virus infections recently because of the close genetic relationship and phylogeny with humans. So far, tree shrew has been reported to be susceptible to human influenza virus subtype H1N1, avian influenza viruses subtype H9N2, subtype H5N1, and subtype H7N9. However, the pathogenicity, infection, and immunity of swine and land avian influenza viruses with low pathogenicity and the potential to jump to humans remain largely unexplored in the tree shrew model. Previously, our team has successfully isolated the newly emerging swine influenza virus subtype H3N2 (A/Swine/GX/NS2783/2010, SW2783) and avian influenza virus subtype H6N6 (A/CK/ZZ/346/2014, ZZ346). In this study, we observed the pathogenicity, immune characteristics, and cross-species infection potential ability of SW2783 and ZZ346 strains in tree shrew model with 50% tissue culture infective dose (TCID

Indexed as

Influenza A Virus, H1N1 SubtypeInfluenza A Virus, H5N1 SubtypeInfluenza A Virus, H7N9 SubtypeInfluenza A Virus, H9N2 SubtypeInfluenza, HumanOrthomyxoviridae InfectionsAnimalsGuinea PigsHumansInfluenza A Virus, H3N2 SubtypeShrewsTracheaTupaiaTupaiidaeVirulenceVirus ReplicationAnti-infection immunityAvian influenza virusCross-species infectionLow pathogenicSwine influenza virusTransmissibilityTree shrew

Identifiers

PMID36543317
PMCPMC10194224
OpenAlexW4313380239

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.