Evidence Hub

Multimorbidity and animal models

Xinpei Wang, Yakun Ren, Xing-Jiu Yang, Meng-Yuan Li, Junxiu Liu, Xiaoyan Du, Wen Wang, Ran Gao

Animal Models and Experimental Medicine, 2025

3 citations

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.

How strong is the evidence?

Evidence Hub reads this as a review, done in animal, not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free