Evidence map›Paper›PMID 41986582›Full record

ArticleCommunications biology2026

Spatially and temporally comparative proteomics provide insights into dynamic response patterns to PEDV infection.

Wenjiao Jin, Yu Feng, Sijia Ma, Shifeng Tong, Shiyu Lu, Heng Du, Lei Zhou, Ran Zhang, Xu Yang, Jianfeng Liu

Abstract readComparative Study
In one paragraph

Article in Communications biology, 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

10 authors.

Wenjiao JinFrontiers Science Center for Molecular Design Breeding (MOE); National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture; State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing, China.
Yu FengFrontiers Science Center for Molecular Design Breeding (MOE); National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture; State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing, China.
Sijia MaFrontiers Science Center for Molecular Design Breeding (MOE); National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture; State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing, China.
Shifeng TongFrontiers Science Center for Molecular Design Breeding (MOE); National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture; State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing, China.
Shiyu LuFrontiers Science Center for Molecular Design Breeding (MOE); National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture; State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing, China.
Heng DuFrontiers Science Center for Molecular Design Breeding (MOE); National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture; State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing, China.
Lei ZhouFrontiers Science Center for Molecular Design Breeding (MOE); National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture; State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing, China.
Ran ZhangCollege of Biological Sciences, China Agricultural University, Beijing, China. zhangran0628@cau.edu.cn.ORCID http://orcid.org/0000-0002-3452-8917
Xu YangFrontiers Science Center for Molecular Design Breeding (MOE); National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture; State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing, China. yangxuq@hotmail.com.ORCID http://orcid.org/0000-0002-7288-4568
Jianfeng LiuFrontiers Science Center for Molecular Design Breeding (MOE); National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture; State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing, China. liujf@cau.edu.cn.ORCID http://orcid.org/0000-0002-5766-7864

Funding

China Postdoctoral Science Foundation 2022M723412National Natural Science Foundation of China (National Science Foundation of China) 32302708National Natural Science Foundation of China (National Science Foundation of China) 82300635
6 · The paper itself

Abstract

Characterizing host response patterns to porcine epidemic diarrhea virus (PEDV) infection at the protein level is essential for capturing rapid-response events and elucidating the pathogenesis mechanisms of porcine epidemic diarrhea (PED). However, the specificity and dynamicity of the tissue-based proteome in the localized region of infected intestines remain elusive. In this study, we conducted a spatiotemporal comparative proteomics to quantify cellular proteins in jejunal and colon tissues throughout the stages of PEDV infection. By integrating multidimensional host proteomics, we obtained data on the regional heterogeneity associated with susceptibility and dynamic response patterns to PEDV infection, indicating dynamic remodeling of glucose and lipid metabolism and regional variability in the antiviral response. Our approach provides a global view of the effect of PEDV on the piglet intestinal proteome and identifies mechanisms that may support its infection tropism. These discoveries will provide a potent and valid strategy for developing PED intervention strategies.

Indexed as

Coronavirus InfectionsPorcine epidemic diarrhea virusProteomeProteomicsSwine DiseasesAnimalsHost-Pathogen InteractionsJejunumSwineProteome

Identifiers

PMID41986582
PMCPMC13385712

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.