Improving our understanding of the biology of aging: findings from the Age-It Research Program

Understanding the biological underpinnings of aging will enhance our ability to predict and potentially modify aging trajectories. By identifying reliable biomarkers and actionable pathways, this research may contribute to the development of targeted interventions to promote healthy aging. The Age-It initiative represents a collaborative effort to translate these findings into practical applications for aging research and health care policy.

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Institutions

Publication Details

Journal
The Journals of Gerontology Series B
Published
2025-12-01
DOI
https://doi.org/10.1093/geronb/gbaf197
Citations
2
Primary Topic
Genetics, Aging, and Longevity in Model Organisms
Type
article
Field-Weighted Citation Impact
1.91
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article

Improving our understanding of the biology of aging: findings from the Age-It Research Program

Marco Sandri, Andrea Graziani, Francesco Giorgino, Fiorenzo Conti et al.
2 citations
The Journals of Gerontology Series B
Genetics, Aging, and Longevity in Model Organisms
1.91
article

Improving our understanding of the biology of aging: findings from the Age-It Research Program

Marco Sandri, Andrea Graziani, Francesco Giorgino, Fiorenzo Conti, F. Chiti, Fabrizio d’Adda di Fagagna, Daniela Corda, Giuseppe Passarino
article en
2 citations

Abstract

Understanding the biological underpinnings of aging will enhance our ability to predict and potentially modify aging trajectories. By identifying reliable biomarkers and actionable pathways, this research may contribute to the development of targeted interventions to promote healthy aging. The Age-It initiative represents a collaborative effort to translate these findings into practical applications for aging research and health care policy.

The Journals of Gerontology Series BVol. 80(Supplement_2)
Marche Polytechnic University (IT), Università degli Studi del Piemonte Orientale “Amedeo Avogadro” (IT), University of Padua (IT), Veneto Institute of Molecular Medicine (IT), IFOM (IT), National Research Council (RO), Institute for Experimental Endocrinology and Oncology (IT), Istituto Nazionale di Riposo e Cura per Anziani (IT), University of Florence (IT), University of Calabria (IT), University of Turin (IT), University of Bari Aldo Moro (IT)
Openalex Percentile: Top 12%
Genetics, Aging, and Longevity in Model Organisms
1.91
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