Evidence map›Paper›PMID 41431154›Full record

ReviewAnimal models and experimental medicine2025

Multimorbidity and animal models.

Xinpei Wang, Yakun Ren, Xingjiu Yang, Mengyuan Li, Junxiu Liu, Xiaoyan Du, Wen Wang, Ran Gao

Abstract readReview
In one paragraph

Review in Animal models and experimental medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Multimorbidity and animal models.Animal models and experimental medicine · 2025
    Review
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

8 authors.

Xinpei WangState Key Laboratory of Respiratory Health and Multimorbidity & Institute of Laboratory Animal Science, CAMS & PUMC, Beijing, China.ORCID 0000-0002-1219-3423
Yakun RenState Key Laboratory of Respiratory Health and Multimorbidity & Institute of Laboratory Animal Science, CAMS & PUMC, Beijing, China.
Xingjiu YangState Key Laboratory of Respiratory Health and Multimorbidity & Institute of Laboratory Animal Science, CAMS & PUMC, Beijing, China.
Mengyuan LiState Key Laboratory of Respiratory Health and Multimorbidity & Institute of Laboratory Animal Science, CAMS & PUMC, Beijing, China.ORCID 0000-0001-9415-1974
Junxiu LiuDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Xiaoyan DuThe Department of Laboratory Animal Science, School of Basic Medical Science, Capital Medical University, Beijing, China.ORCID 0000-0002-4030-7299
Wen WangState Key Laboratory of Respiratory Health and Multimorbidity & Institute of Laboratory Animal Science, CAMS & PUMC, Beijing, China.
Ran GaoState Key Laboratory of Respiratory Health and Multimorbidity & Institute of Laboratory Animal Science, CAMS & PUMC, Beijing, China.ORCID 0000-0001-8712-429X

Funding

Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences 2023-I2M-2-001Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences 2023-PT180-01State Key Laboratory Special Fund 2060204Young Elite Scientists Sponsorship Program of China Association for Science and Technology 2020QNRC001
6 · The paper itself

Abstract

Multimorbidity-the co-occurrence of more than two chronic conditions in the same individual-is associated with premature death, diminished function, reduced quality of life, and increased societal burden. This complex state involves dynamic interactions across multiple conditions, organ systems, and physiological pathways; yet research progress remains constrained by inadequate animal models that recapitulate human complexity. This review summarizes the predominant patterns of multimorbidity and evaluates current animal models spanning invertebrates, rodents, and large mammals. While no single model fully captures the multifaceted nature of human multimorbidity, we propose several strategic directions to address existing limitations: implementing a cross-species validation framework (from simple organisms to rodents to large mammals), standardizing protocols integrating multimodal risk factors, developing advanced non-animal models, and enhancing ethical oversight. Advancing multimorbidity models is crucial for decoding disease interactions and accelerating translation of research findings into improved patients outcomes.

Indexed as

Disease Models, AnimalModels, AnimalMultimorbidityAnimalsHumansInvertebratesanimal modelsbiological complexitymultimorbidity

Identifiers

PMID41431154
PMCPMC12884434

What OpenQuestion 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 OpenQuestion graph.