Evidence map›Paper›PMID 40995216›Full record

ReviewFrontiers in cellular and infection microbiology2025

Autophagy and porcine circovirus infection: a mini review.

Xiaoyong Chen, Xi Chen, Ziding Yu

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2025. 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

3 authors.

Xiaoyong ChenXingzhi College, Zhejiang Normal University, Jinhua, China.
Xi ChenXingzhi College, Zhejiang Normal University, Jinhua, China.
Ziding YuWuhu Vocational Technical University, Wuhu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porcine circovirus (PCV), particularly PCV type 2 (PCV2), is a major pathogen driving porcine circovirus-associated diseases (PCVAD), causing significant economic losses in the swine industry. Accumulating evidence highlights autophagy as a critical host-pathogen interface during PCV infection. PCV2 activates autophagy through reactive oxygen species (ROS)-mediated signaling and metabolic regulators like the AMP-activated protein kinase (AMPK)/mechanistic target of rapamycin (mTOR) axis, creating a conducive environment for viral persistence. Concurrently, this virus exploits ubiquitin ligases to induce ubiquitination of cellular immune factors, promoting selective autophagy for immune evasion. Host factors, such as retinol-binding protein 4 (RBP4), act as restriction factors by counteracting viral strategies through autophagy modulation. Environmental stressors could exacerbate PCV2 pathogenesis by amplifying ROS-dependent autophagy, while interventions like taurine mitigate viral replication via ROS/AMPK/mTOR pathway inhibition. This mini-review synthesizes current understandings of PCV-autophagy crosstalk, emphasizing its critical role as a host vulnerability and therapeutic target. Understanding the intricate interplay between autophagy and PCV infection may unveil novel therapeutic targets, such as autophagy modulators, to mitigate viral replication and immune pathology.

Indexed as

AutophagyCircoviridae InfectionsCircovirusHost-Pathogen InteractionsSwine DiseasesAMP-Activated Protein KinasesAnimalsImmune EvasionReactive Oxygen SpeciesSignal TransductionSwineTOR Serine-Threonine KinasesVirus ReplicationAMP-Activated Protein KinasesReactive Oxygen SpeciesTOR Serine-Threonine Kinasesautophagyporcine circovirusviral pathogenesisviral replicationvirus-host interaction

Identifiers

PMID40995216
PMCPMC12454418

What Socratic 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 Socratic graph.