Evidence map›Paper›PMID 42169427›Full record

ArticleAnimal models and experimental medicine2026

Dose-dependent pathogenicity and inflammatory imbalance in severely immunodeficient mice infected with mpox virus.

Na Li, Ziqing Jia, Zhe Cong, Jianrong Ma, Jiahan Lu, Yongzhi Hou, Fei Wang, Jiasen Yang, Ting Chen, Jingjing Zhang and 2 more

Abstract read
In one paragraph

Article in Animal models and experimental medicine, 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

12 authors.

Na LiNHC Key Laboratory of Human Disease Comparative Medicine, National Center of Technology Innovation for Animal Model, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Ziqing JiaNHC Key Laboratory of Human Disease Comparative Medicine, National Center of Technology Innovation for Animal Model, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Zhe CongNHC Key Laboratory of Human Disease Comparative Medicine, National Center of Technology Innovation for Animal Model, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Jianrong MaNHC Key Laboratory of Human Disease Comparative Medicine, National Center of Technology Innovation for Animal Model, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Jiahan LuNHC Key Laboratory of Human Disease Comparative Medicine, National Center of Technology Innovation for Animal Model, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Yongzhi HouNHC Key Laboratory of Human Disease Comparative Medicine, National Center of Technology Innovation for Animal Model, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Fei WangNHC Key Laboratory of Human Disease Comparative Medicine, National Center of Technology Innovation for Animal Model, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Jiasen YangNHC Key Laboratory of Human Disease Comparative Medicine, National Center of Technology Innovation for Animal Model, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Ting ChenNHC Key Laboratory of Human Disease Comparative Medicine, National Center of Technology Innovation for Animal Model, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Jingjing ZhangNHC Key Laboratory of Human Disease Comparative Medicine, National Center of Technology Innovation for Animal Model, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Dong ZhangNHC Key Laboratory of Human Disease Comparative Medicine, National Center of Technology Innovation for Animal Model, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Jing XueNHC Key Laboratory of Human Disease Comparative Medicine, National Center of Technology Innovation for Animal Model, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.

Funding

Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences, China 2025-I2M-KJ-021Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences, China 2025-I2M-XHJC-032National Key Research and Development Program of China 2024YFC2309500Prevention and Control of Emerging and Major Infectious Diseases-National Science and Technology Major Project 2025ZD01904300Scientific Research Innovation Capability Support Project for Young Faculty SRICSPYF-ZY2025119
6 · The paper itself

Abstract

The global spread of mpox continues to pose a threat to public health, with immunocompromised patients being at greater risk for severe disease. This study aimed to establish a lethal severe infection model using NPG (NOD.Cg-Prkdc

Indexed as

Immunocompromised HostInflammationMpox, MonkeypoxAnimalsDisease Models, AnimalFemaleMiceMice, Inbred NODMice, SCIDViral LoadVirus Replicationinflammatory responselethal modelmpox virusNPG (NOD.Cg‐Prkdcscid Il2rgtm1/Vst) miceviremia

Identifiers

PMID42169427
PMCPMC13331553

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.