Evidence map›Paper›PMID 42395043›Full record

ReviewWorld journal of virology2026

Antiviral innate immunity and adaptive immune responses against monkeypox and viral immune evasion.

Zi-Hao Liang, Ping Huang, Jian-Jun Shen, Jie Wei, Wen-Xian Qian, Chang-Hua Yi

Abstract readReview
In one paragraph

Review in World journal of virology, 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

6 authors.

Zi-Hao LiangDepartment of Clinical Research Center, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu Province, China.
Ping HuangDepartment of Liver Diseases, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu Province, China.
Jian-Jun ShenDepartment of Chinese Medicine, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu Province, China.
Jie WeiDepartment of Scientific Research, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu Province, China.
Wen-Xian QianDepartment of Clinical Research Center, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu Province, China.
Chang-Hua YiDepartment of Clinical Research Center, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu Province, China. chhuayi@sina.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The monkeypox virus (MPXV) belongs to the Poxviridae family and has emerged as a global problem for public health since May 2022. Both innate and adaptive immunity are crucial for preventing MPXV infections. Understanding the interaction between the innate and adaptive immune systems and MPXV could be critical in developing novel treatments. This review presents an update on the host antiviral innate and adaptive immune responses against four zoonosis poxvirus, including mouse kidney parvovirus, cowpox virus, variola virus, and vaccinia virus. The effect of APOBEC3 variants on viral immune escape and the underlying mechanisms were also explored. The possible mechanisms of the effects of human immunodeficiency virus and monkeypox co-infection in the clinical setting were also analysed in the hope of providing a basis for clinical drug development and treatment.

Indexed as

Adaptive immuneImmune evasionInnate immuneMonkeypox virusPoxviridae family

Identifiers

PMID42395043
PMCPMC13324774

What OpenQuestion holds

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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.