TY - JOUR
T1 - Female aging
T2 - when translational models don’t translate
AU - Gilmer, Gabrielle
AU - Hettinger, Zachary R.
AU - Tuakli-Wosornu, Yetsa
AU - Skidmore, Elizabeth
AU - Silver, Julie K.
AU - Thurston, Rebecca C.
AU - Lowe, Dawn A.
AU - Ambrosio, Fabrisia
N1 - Publisher Copyright:
© 2023, Springer Nature America, Inc.
PY - 2023/12
Y1 - 2023/12
N2 - For many pathologies associated with aging, female patients present with higher morbidity and more frequent adverse events from treatments compared to male patients. While preclinical models are the foundation of our mechanistic understanding of age-related diseases, the most common models fail to recapitulate archetypical female aging trajectories. For example, while over 70% of the top age-related diseases are influenced by the systemic effects of reproductive senescence, we found that preclinical studies that include menopausal phenotypes modeling those seen in humans make up <1% of published aging biology research. The long-term impacts of pregnancy, birthing and breastfeeding are also typically omitted from preclinical work. In this Perspective, we summarize limitations in the most commonly used aging models, and we provide recommendations for better incorporating menopause, pregnancy and other considerations of sex in vivo and in vitro. Lastly, we outline action items for aging biology researchers, journals, funding agencies and animal providers to address this gap.
AB - For many pathologies associated with aging, female patients present with higher morbidity and more frequent adverse events from treatments compared to male patients. While preclinical models are the foundation of our mechanistic understanding of age-related diseases, the most common models fail to recapitulate archetypical female aging trajectories. For example, while over 70% of the top age-related diseases are influenced by the systemic effects of reproductive senescence, we found that preclinical studies that include menopausal phenotypes modeling those seen in humans make up <1% of published aging biology research. The long-term impacts of pregnancy, birthing and breastfeeding are also typically omitted from preclinical work. In this Perspective, we summarize limitations in the most commonly used aging models, and we provide recommendations for better incorporating menopause, pregnancy and other considerations of sex in vivo and in vitro. Lastly, we outline action items for aging biology researchers, journals, funding agencies and animal providers to address this gap.
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U2 - 10.1038/s43587-023-00509-8
DO - 10.1038/s43587-023-00509-8
M3 - Article
C2 - 38052933
AN - SCOPUS:85178915813
SN - 2662-8465
VL - 3
SP - 1500
EP - 1508
JO - Nature Aging
JF - Nature Aging
IS - 12
ER -