arrow
Return

Translating time: Challenges, progress, and future directions

delete2025-02-01
delete0
delete
OA
AI
C
Christine J. Charvet *
A
Alexandra A. de Sousa
T
Tatianna Vassilopoulos
DOI:10.1016/j.brainresbull.2025.111212delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Mice are the dominant model system to study human health and disease. Yet, there is a pressing need to use diverse model systems to address long-standing issues in biomedical sciences. Mice do not spontaneously recapitulate many of the diseases we seek to study. Accordingly, the relevance of studying mice to understand human disease is limited. We discuss examples associated with limitations of the mouse model, and how the inclusion of a richer array of model systems can help address long standing issues in biomedical sciences. We also discuss a tool called Translating Time, an online resource (www.translatingtime.org) that equates corresponding ages across model systems and humans. The translating time resource can be used to bridge the gap across species and make predictions when data are sparse or unavailable as is the case for human fetal development. Moreover, the Translating Time tool can map findings across species, make inferences about the evolution of shared neuropathologies, and inform the optimal model system for studying human biology in health and in disease. Resources such as these can be utilized to integrate information across diverse model systems to improve the study of human biology in health and disease.
Keywords:
Translating Time
Human
Chimpanzee
Mouse
Evolution
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Brain Research Bulletin cover
Brain Research Bulletin
IF:
3.7
Papers:
6.9K
Citations:
1.2W

Organization

A
auburn university system
Scholars:
1.1W
Papers: 9.5K
Citations: 9