Evidence map›Paper›PMID 42890816›Full record

ArticleiMetaOmics2026

Ouyang Peng, Yufang Liu, Xuanci Wang, Yihui Huang, Yiqin Yang, Qixiang Kang, Rui Geng, Guangli Hu, Aiping Lv, Fangyu Hu and 13 more

Abstract read
In one paragraph

Article in iMetaOmics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

23 authors.

Ouyang PengState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.ORCID https://orcid.org/0000-0002-5092-1954
Yufang LiuState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.
Xuanci WangState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.
Yihui HuangState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.
Yiqin YangState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.
Qixiang KangState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.
Rui GengState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.
Guangli HuState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.
Aiping LvState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.
Fangyu HuState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.
Yongbo XiaState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.
Xin LuoState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.
Jiamin LiaoState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.
Yihong HeState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.
Zhanpeng KuangState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.
Yunping DuGuangdong Enterprise Key Laboratory for Animal Health and Environmental Control Wens Foodstuff Group Co. Ltd Yunfu China.
Yun ZhangHainan University and Massey University International College Haikou China.
Chunyi XueState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.
Zongxi HanDivision of Avian Infectious Diseases, the State Key Laboratory of Animal Disease Prevention and Control, Harbin Veterinary Research Institute the Chinese Academy of Agricultural Sciences Harbin China.
Wen-Jun LiState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.ORCID https://orcid.org/0000-0002-1233-736X
Lei DongState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.ORCID https://orcid.org/0000-0002-5767-2778
Hao ZhangState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.ORCID https://orcid.org/0000-0003-2376-4452
Yongchang CaoState Key Laboratory of Biocontrol, School of Life Sciences Sun Yat-sen University Guangzhou China.ORCID https://orcid.org/0000-0002-0311-5474

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious bronchitis virus (IBV) is a major viral pathogen causing substantial economic losses in the global poultry industry. However, the limited efficacy of commercial vaccines and the absence of approved antiviral drugs underscore the urgent need for novel strategies to combat IBV, particularly in the context of antibiotic-free poultry production. Emerging evidence suggests that gut microbiota plays a crucial role in shaping host immunity and antiviral resilience. In this study, we demonstrated that gut microbiota composition is a key determinant of IBV resistance in chickens, as revealed through a fecal microbiota transplantation (FMT) model. Utilizing multi-omics approaches, we conducted a comprehensive characterization of microbiomic, viromic, and metabolic differences among adult chickens, young chickens, and FMT-treated young chickens for the first time, establishing a mechanistic link between gut microbiota and IBV resistance. Building on these insights, longitudinal microbiome profiling in a newly developed persistent IBV infection model identified

Indexed as

Akkermansia muciniphilaantibiotic‐free farmingantiviral mechanistic investigationfecal microbiota transplantationgut microbiotainfectious bronchitis virus

Identifiers

PMID42890816
PMCPMC13674465

What OpenQuestion holds

Textmetadata
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.