Evidence map›Paper›PMID 42638385›Full record

ReviewVirulence2026

The roles and mechanisms of natural compounds in preventing and treating viral reproductive disorders in major economic livestock.

Qiling Su, Jiang Wu, Qinyao Shi, Haien Chen, Chongkai Hu, Yidan Huang, Kai Kang

Abstract readReview
In one paragraph

Review in Virulence, 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

7 authors.

Qiling SuCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, China.ORCID 0009-0006-4872-0906
Jiang WuCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, China.ORCID 0000-0002-0771-1791
Qinyao ShiCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, China.
Haien ChenCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, China.
Chongkai HuCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, China.
Yidan HuangCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, China.
Kai KangCollege of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, China.ORCID 0000-0001-9760-9864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reproductive disorders from viral infections cause major economic losses in livestock. This review provides a comprehensive mapping of natural compounds (monomers, extracts, and traditional Chinese medicine formulas) against 12 key viruses causing reproductive disorders in pigs, cattle, and sheep. A total of 297 independent studies were included. The compounds targeted multiple nodes within four conserved host signaling networks: NF-κB (TLR4, p65, IRF3, IκBα, ERK1/2), MAPK (p38 MAPK, JNK), apoptosis-related factors (Caspase-3, Bcl-2, Bax), and autophagy-related factors (AKT, p62). By modulating these networks, this multi-target, on-demand regulatory strategy endows natural compounds with broad-spectrum regulatory effects on host responses and the ability to reduce drug resistance. These findings consequently provide a theoretical basis for developing a single natural product combination that is effective against multiple reproductive disorder viruses.

Indexed as

Antiviral AgentsBiological ProductsLivestockVirus DiseasesAnimalsCattleCattle DiseasesSheepSheep DiseasesSignal TransductionSwineSwine DiseasesAntiviral AgentsBiological Productsaction and mechanismmajor economic livestockNatural compoundsprevention and controlviral reproductive disorders

Identifiers

PMID42638385
PMCPMC13532028

What Socratic 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 Socratic graph.