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Bartolomucci A, Kane AE, Gaydosh L, Razzoli M, McCoy BM, Ehninger D, Chen BH, Howlett SE, Snyder-Mackler N. Animal Models Relevant for Geroscience: Current Trends and Future Perspectives in Biomarkers, and Measures of Biological Aging. J Gerontol A Biol Sci Med Sci 2024; 79:glae135. [PMID: 39126297 PMCID: PMC11316208 DOI: 10.1093/gerona/glae135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Indexed: 08/12/2024] Open
Abstract
For centuries, aging was considered inevitable and immutable. Geroscience provides the conceptual framework to shift this focus toward a new view that regards aging as an active biological process, and the biological age of an individual as a modifiable entity. Significant steps forward have been made toward the identification of biomarkers for and measures of biological age, yet knowledge gaps in geroscience are still numerous. Animal models of aging are the focus of this perspective, which discusses how experimental design can be optimized to inform and refine the development of translationally relevant measures and biomarkers of biological age. We provide recommendations to the field, including: the design of longitudinal studies in which subjects are deeply phenotyped via repeated multilevel behavioral/social/molecular assays; the need to consider sociobehavioral variables relevant for the species studied; and finally, the importance of assessing age of onset, severity of pathologies, and age-at-death. We highlight approaches to integrate biomarkers and measures of functional impairment using machine learning approaches designed to estimate biological age as well as to predict future health declines and mortality. We expect that advances in animal models of aging will be crucial for the future of translational geroscience but also for the next chapter of medicine.
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Affiliation(s)
- Alessandro Bartolomucci
- Department of Integrative Biology and Physiology, University of Minnesota, Minneapolis, Minnesota, USA
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Alice E Kane
- Institute for Systems Biology, Seattle, Washington, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Lauren Gaydosh
- Department of Sociology, University of Texas at Austin, Austin, Texas, USA
| | - Maria Razzoli
- Department of Integrative Biology and Physiology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Brianah M McCoy
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
- Center for Evolution and Medicine, Arizona State University, Tempe, Arizona, USA
| | - Dan Ehninger
- German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Brian H Chen
- California Pacific Medical Center Research Institute, Sutter Health, San Francisco, CA, 94143, USA
| | - Susan E Howlett
- Departments of Pharmacology and Medicine (Geriatric Medicine), Dalhousie University, Halifax, Nova Scotia, Canada
| | - Noah Snyder-Mackler
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
- Center for Evolution and Medicine, Arizona State University, Tempe, Arizona, USA
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Hilmer SN, Johnell K, Mach J. Pre-clinical Models for Geriatric Pharmacotherapy. Drugs Aging 2024; 41:633-640. [PMID: 38982010 PMCID: PMC11322264 DOI: 10.1007/s40266-024-01129-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/16/2024] [Indexed: 07/11/2024]
Abstract
With ageing of the population worldwide and discovery of new medications for prevention and management of age-related conditions, there is increasing use of medications by older adults. There are international efforts to increase the representativeness of participants in clinical trials to match the intended real-world users of the medications across a range of characteristics including age, multimorbidity, polypharmacy and frailty. Currently, much of the data on medication-related harm in older adults are from pharmacovigilance studies. New methods in pre-clinical models have allowed for measurement of exposures (such as chronic exposure, polypharmacy and deprescribing) and outcomes (such as health span functional measures and frailty) that are highly relevant to geriatric pharmacotherapy. Here we describe opportunities for design and implementation of pre-clinical models that can better predict drug effects in geriatric patients. This could improve the translation of new drugs from bench to bedside and improve outcomes of pharmacotherapy in older adults.
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Affiliation(s)
- Sarah N Hilmer
- Kolling Institute, The University of Sydney and Northern Sydney Local Health District, St Leonards, NSW, Australia.
| | - Kristina Johnell
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - John Mach
- Kolling Institute, The University of Sydney and Northern Sydney Local Health District, St Leonards, NSW, Australia
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Gemikonakli G, Mach J, Tran T, Wu H, Hilmer SN. Probing polypharmacy, ageing and sex effects on physical function using different tests. Fundam Clin Pharmacol 2024; 38:561-574. [PMID: 38247119 DOI: 10.1111/fcp.12978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 12/01/2023] [Accepted: 12/14/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND Ageing, sex and polypharmacy affect physical function. OBJECTIVES This mouse study investigates how ageing, sex and polypharmacy interact and affect grip strength, balance beam and wire hang, correlating and comparing the different test results between and within subgroups. METHODS Young (2.5 months) and old (21.5 months) C57BL/6 J male and female mice (n = 10-6/group) were assessed for physical function at baseline on grip strength, balance beam and wire hang with three trials of 60 s (WH60s) and one trial of 300 s (WH300s). Mice were randomised to control or diet containing a high Drug Burden Index (DBI, total anticholinergic and sedative drug exposure) polypharmacy regimen (metoprolol, simvastatin, citalopram, oxycodone and oxybutynin at therapeutic oral doses). Following 6-8 weeks of treatment, mice were reassessed. RESULTS High DBI polypharmacy and control mice both showed age group differences on all tests (p < 0.05). Only control mice showed sex differences, with females outperforming males on the WH60s and balance beam for old mice, WH300s for young mice (p < 0.05). Polypharmacy reduced grip strength in all subgroups (p < 0.05) and only in old females reduced wire hang time and cumulative behaviour and balance beam time and %walked (p < 0.05). Physical function assessments were all correlated with each other, with differences between subgroups (p < 0.05), and mice within subgroups showed interindividual variability in performance. CONCLUSION Age, sex and polypharmacy have variable effects on different tests, and behavioural measures are useful adjuvants to assessing performance. There was considerable within-group variability in change in measures over time. These findings can inform design and sample size of future studies.
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Affiliation(s)
- Gizem Gemikonakli
- Laboratory of Ageing and Pharmacology, Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District, Sydney, New South Wales, Australia
| | - John Mach
- Laboratory of Ageing and Pharmacology, Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District, Sydney, New South Wales, Australia
| | - Trang Tran
- Laboratory of Ageing and Pharmacology, Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District, Sydney, New South Wales, Australia
| | - Harry Wu
- Laboratory of Ageing and Pharmacology, Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District, Sydney, New South Wales, Australia
| | - Sarah N Hilmer
- Laboratory of Ageing and Pharmacology, Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District, Sydney, New South Wales, Australia
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Mishra M, Wu J, Kane AE, Howlett SE. The intersection of frailty and metabolism. Cell Metab 2024; 36:893-911. [PMID: 38614092 PMCID: PMC11123589 DOI: 10.1016/j.cmet.2024.03.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 03/11/2024] [Accepted: 03/21/2024] [Indexed: 04/15/2024]
Abstract
On average, aging is associated with unfavorable changes in cellular metabolism, which are the processes involved in the storage and expenditure of energy. However, metabolic dysregulation may not occur to the same extent in all older individuals as people age at different rates. Those who are aging rapidly are at increased risk of adverse health outcomes and are said to be "frail." Here, we explore the links between frailty and metabolism, including metabolic contributors and consequences of frailty. We examine how metabolic diseases may modify the degree of frailty in old age and suggest that frailty may predispose toward metabolic disease. Metabolic interventions that can mitigate the degree of frailty in people are reviewed. New treatment strategies developed in animal models that are poised for translation to humans are also considered. We suggest that maintaining a youthful metabolism into older age may be protective against frailty.
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Affiliation(s)
- Manish Mishra
- Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Judy Wu
- Institute for Systems Biology, Seattle, WA, USA
| | - Alice E Kane
- Institute for Systems Biology, Seattle, WA, USA; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Susan E Howlett
- Department of Pharmacology, Dalhousie University, Halifax, NS, Canada; Department of Medicine (Geriatric Medicine), Dalhousie University, Halifax, NS, Canada.
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Chen P, Wang Y, Zhou B. Insights into targeting cellular senescence with senolytic therapy: The journey from preclinical trials to clinical practice. Mech Ageing Dev 2024; 218:111918. [PMID: 38401690 DOI: 10.1016/j.mad.2024.111918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 02/07/2024] [Accepted: 02/21/2024] [Indexed: 02/26/2024]
Abstract
Interconnected, fundamental aging processes are central to many illnesses and diseases. Cellular senescence is a mechanism that halts the cell cycle in response to harmful stimuli. Senescent cells (SnCs) can emerge at any point in life, and their persistence, along with the numerous proteins they secrete, can negatively affect tissue function. Interventions aimed at combating persistent SnCs, which can destroy tissues, have been used in preclinical models to delay, halt, or even reverse various diseases. Consequently, the development of small-molecule senolytic medicines designed to specifically eliminate SnCs has opened potential avenues for the prevention or treatment of multiple diseases and age-related issues in humans. In this review, we explore the most promising approaches for translating small-molecule senolytics and other interventions targeting senescence in clinical practice. This discussion highlights the rationale for considering SnCs as therapeutic targets for diseases affecting individuals of all ages.
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Affiliation(s)
- Peng Chen
- Department of Pharmacy, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China.
| | - Yulai Wang
- Department of Pharmacy, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, P.R. China
| | - Benhong Zhou
- Department of Pharmacy, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, PR China
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Liu BM, Kouladjian O'Donnell L, Redston MR, Fujita K, Thillainadesan J, Gnjidic D, Hilmer SN. Association of the Drug Burden Index (DBI) exposure with outcomes: A systematic review. J Am Geriatr Soc 2024; 72:589-603. [PMID: 38006299 DOI: 10.1111/jgs.18691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 11/27/2023]
Abstract
BACKGROUND The Drug Burden Index (DBI) measures an individual's total exposure to anticholinergic and sedative medications. This systematic review aimed to investigate the association of the DBI with clinical and prescribing outcomes in observational pharmaco-epidemiological studies, and the effect of DBI exposure on functional outcomes in pre-clinical models. METHODS A systematic search of nine electronic databases, citation indexes and gray literature was performed (April 1, 2007-December 31, 2022). Studies that reported primary data on the association of the DBI with clinical or prescribing outcomes conducted in any setting in humans aged ≥18 years or animals were included. Quality assessment was performed using the Joanna Briggs Institute critical appraisal tools and the Systematic Review Centre for Laboratory animal Experimentation risk of bias tool. RESULTS Of 2382 studies screened, 70 met the inclusion criteria (65 in humans, five in animals). In humans, outcomes reported included function (n = 56), cognition (n = 20), falls (n = 14), frailty (n = 7), mortality (n = 9), quality of life (n = 8), hospitalization (n = 7), length of stay (n = 5), readmission (n = 1), other clinical outcomes (n = 15) and prescribing outcomes (n = 2). A higher DBI was significantly associated with increased falls (11/14, 71%), poorer function (31/56, 55%), and cognition (11/20, 55%) related outcomes. Narrative synthesis was used due to significant heterogeneity in the study population, setting, study type, definition of DBI, and outcome measures. Results could not be pooled due to heterogeneity. In animals, outcomes reported included function (n = 18), frailty (n = 2), and mortality (n = 1). In pre-clinical studies, a higher DBI caused poorer function and frailty. CONCLUSIONS A higher DBI may be associated with an increased risk of falls and decreased function and cognition. Higher DBI was inconsistently associated with increased mortality, length of stay, frailty, hospitalization or reduced quality of life. Human observational findings with respect to functional outcomes are supported by preclinical interventional studies. The DBI may be used as a tool to identify older adults at higher risk of harm.
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Affiliation(s)
- Bonnie M Liu
- Ageing and Pharmacology Laboratory, Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District, Sydney, Australia
- Aged Care Department, Royal North Shore Hospital, Sydney, Australia
| | - Lisa Kouladjian O'Donnell
- Ageing and Pharmacology Laboratory, Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District, Sydney, Australia
| | - Mitchell R Redston
- St George and Sutherland Clinical School, Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Kenji Fujita
- Ageing and Pharmacology Laboratory, Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District, Sydney, Australia
| | - Janani Thillainadesan
- Department of Geriatric Medicine and Centre for Education and Research on Ageing, Concord Hospital, Sydney, Australia
- Concord Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Danijela Gnjidic
- School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Sarah N Hilmer
- Ageing and Pharmacology Laboratory, Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District, Sydney, Australia
- Aged Care Department, Royal North Shore Hospital, Sydney, Australia
- Clinical Pharmacology Department, Royal North Shore Hospital, Sydney, Australia
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Musazzi L, Carini G, Barbieri SS, Maggi S, Veronese N, Popoli M, Barbon A, Ieraci A. Phenotypic Frailty Assessment in SAMP8 Mice: Sex Differences and Potential Role of miRNAs as Peripheral Biomarkers. J Gerontol A Biol Sci Med Sci 2023; 78:1935-1943. [PMID: 37422721 DOI: 10.1093/gerona/glad160] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Indexed: 07/10/2023] Open
Abstract
Frailty is a geriatric syndrome characterized by age-related decline in physiological reserves and functions in multiple organ systems, including the musculoskeletal, neuroendocrine/metabolic, and immune systems. Animal models are essential to study the biological basis of aging and potential ways to delay the onset of age-related phenotypes. Unfortunately, validated animal models of frailty are still lacking in preclinical research. The senescence-accelerated prone-8 (SAMP8) mouse strain exhibits early cognitive loss that mimics the deterioration of learning and memory in the elderly and is widely used as a model of aging and neurodegenerative diseases. Here, we examined the frailty phenotype, which includes body weight, strength, endurance, activity, and slow walking speed, in male and female SAMP8 and senescence-accelerated mouse resistant (SAMR1) mice at 6- and 9-months of age. We found that the prevalence of frailty was higher in SAMP8 mice compared with SAMR1 mice, regardless of sex. The overall percentage of prefrail and frail mice was similar in male and female SAMP8 mice, although the percentage of frail mice was slightly higher in males than in females. In addition, we found sex- and frailty-specific changes in selected miRNAs blood levels. In particular, the levels of miR-34a-5p and miR-331-3p were higher in both prefrail and frail mice, whereas miR-26b-5p was increased only in frail mice compared with robust mice. Finally, levels of miR-331-3p were also increased in whole blood from a small group of frail patients. Overall, these results suggest that SAMP8 mice may be a useful mouse model for identifying potential biomarkers and studying biological mechanisms of frailty.
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Affiliation(s)
- Laura Musazzi
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Giulia Carini
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Silvia S Barbieri
- Unit of Brain-Heart Axis: Cellular and Molecular Mechanisms, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Stefania Maggi
- Aging Branch, Neuroscience Institute, National Research Council, Padua, Italy
| | - Nicola Veronese
- Geriatrics Section, Department of Medicine, University of Palermo, Palermo, Italy
| | - Maurizio Popoli
- Department of Pharmaceutical Sciences, University of Milano, Milano, Italy
| | - Alessandro Barbon
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Alessandro Ieraci
- Department of Pharmaceutical Sciences, University of Milano, Milano, Italy
- Department of Theoretical and Applied Sciences, eCampus University, Novedrate, Italy
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Marcozzi S, Bigossi G, Giuliani ME, Giacconi R, Cardelli M, Piacenza F, Orlando F, Segala A, Valerio A, Nisoli E, Brunetti D, Puca A, Boschi F, Gaetano C, Mongelli A, Lattanzio F, Provinciali M, Malavolta M. Comprehensive longitudinal non-invasive quantification of healthspan and frailty in a large cohort (n = 546) of geriatric C57BL/6 J mice. GeroScience 2023; 45:2195-2211. [PMID: 36702990 PMCID: PMC10651584 DOI: 10.1007/s11357-023-00737-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 01/17/2023] [Indexed: 01/28/2023] Open
Abstract
Frailty is an age-related condition characterized by a multisystem functional decline, increased vulnerability to stressors, and adverse health outcomes. Quantifying the degree of frailty in humans and animals is a health measure useful for translational geroscience research. Two frailty measurements, namely the frailty phenotype (FP) and the clinical frailty index (CFI), have been validated in mice and are frequently applied in preclinical research. However, these two tools are based on different concepts and do not necessarily identify the same mice as frail. In particular, the FP is based on a dichotomous classification that suffers from high sample size requirements and misclassification problems. Based on the monthly longitudinal non-invasive assessment of frailty in a large cohort of mice, here we develop an alternative scoring method, which we called physical function score (PFS), proposed as a continuous variable that resumes into a unique function, the five criteria included in the FP. This score would not only reduce misclassification of frailty but it also makes the two tools, PFS and CFI, integrable to provide an overall measurement of health, named vitality score (VS) in aging mice. VS displays a higher association with mortality than PFS or CFI and correlates with biomarkers related to the accumulation of senescent cells and the epigenetic clock. This longitudinal non-invasive assessment strategy and the VS may help to overcome the different sensitivity in frailty identification, reduce the sample size in longitudinal experiments, and establish the effectiveness of therapeutic/preventive interventions for frailty or other age-related diseases in geriatric animals.
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Affiliation(s)
- Serena Marcozzi
- Advanced Technology Center for Aging Research, IRCCS INRCA, 60121, Ancona, Italy
- Scientific Direction, IRCCS INRCA, 60124, Ancona, Italy
| | - Giorgia Bigossi
- Advanced Technology Center for Aging Research, IRCCS INRCA, 60121, Ancona, Italy
| | - Maria Elisa Giuliani
- Advanced Technology Center for Aging Research, IRCCS INRCA, 60121, Ancona, Italy
| | - Robertina Giacconi
- Advanced Technology Center for Aging Research, IRCCS INRCA, 60121, Ancona, Italy
| | - Maurizio Cardelli
- Advanced Technology Center for Aging Research, IRCCS INRCA, 60121, Ancona, Italy
| | - Francesco Piacenza
- Advanced Technology Center for Aging Research, IRCCS INRCA, 60121, Ancona, Italy
| | - Fiorenza Orlando
- Experimental Animal Models for Aging Unit, Scientific Technological Area, IRCCS INRCA, 60015, Falconara Marittima (AN), Italy
| | - Agnese Segala
- Department of Molecular and Translational Medicine, University of Brescia, Viale Europa, 11, 25123, Brescia, Italy
| | - Alessandra Valerio
- Department of Molecular and Translational Medicine, University of Brescia, Viale Europa, 11, 25123, Brescia, Italy
| | - Enzo Nisoli
- Center for Study and Research On Obesity, Department of Medical Biotechnology and Translational Medicine, University of Milan, Via Vanvitelli, 32, 20129, Milan, Italy
| | - Dario Brunetti
- Medical Genetics and Neurogenetics Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20126, Milan, Italy
- Department of Medical Biotechnology and Translational Medicine, University of Milan, 20129, Milan, Italy
| | - Annibale Puca
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Via Salvatore Allende, 84081, Baronissi, Salerno, Italy
- Cardiovascular Research Unit, IRCCS MultiMedica, 20138, Milan, Italy
| | - Federico Boschi
- Department of Computer Science, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy
| | - Carlo Gaetano
- Laboratory of Epigenetics, Istituti Clinici Scientifici Maugeri IRCCS, Via Maugeri 10, 27100, Pavia, Italy
| | - Alessia Mongelli
- Laboratory of Epigenetics, Istituti Clinici Scientifici Maugeri IRCCS, Via Maugeri 10, 27100, Pavia, Italy
| | | | - Mauro Provinciali
- Advanced Technology Center for Aging Research, IRCCS INRCA, 60121, Ancona, Italy
| | - Marco Malavolta
- Advanced Technology Center for Aging Research, IRCCS INRCA, 60121, Ancona, Italy.
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Zhang L, Pitcher LE, Yousefzadeh MJ, Niedernhofer LJ, Robbins PD, Zhu Y. Cellular senescence: a key therapeutic target in aging and diseases. J Clin Invest 2022; 132:e158450. [PMID: 35912854 PMCID: PMC9337830 DOI: 10.1172/jci158450] [Citation(s) in RCA: 184] [Impact Index Per Article: 92.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Cellular senescence is a hallmark of aging defined by stable exit from the cell cycle in response to cellular damage and stress. Senescent cells (SnCs) can develop a characteristic pathogenic senescence-associated secretory phenotype (SASP) that drives secondary senescence and disrupts tissue homeostasis, resulting in loss of tissue repair and regeneration. The use of transgenic mouse models in which SnCs can be genetically ablated has established a key role for SnCs in driving aging and age-related disease. Importantly, senotherapeutics have been developed to pharmacologically eliminate SnCs, termed senolytics, or suppress the SASP and other markers of senescence, termed senomorphics. Based on extensive preclinical studies as well as small clinical trials demonstrating the benefits of senotherapeutics, multiple clinical trials are under way. This Review discusses the role of SnCs in aging and age-related diseases, strategies to target SnCs, approaches to discover and develop senotherapeutics, and preclinical and clinical advances of senolytics.
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Affiliation(s)
- Lei Zhang
- Institute on the Biology of Aging and Metabolism and the Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Louise E. Pitcher
- Institute on the Biology of Aging and Metabolism and the Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Matthew J. Yousefzadeh
- Institute on the Biology of Aging and Metabolism and the Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Laura J. Niedernhofer
- Institute on the Biology of Aging and Metabolism and the Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Paul D. Robbins
- Institute on the Biology of Aging and Metabolism and the Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Yi Zhu
- Robert and Arlene Kogod Center on Aging, and
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, USA
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10
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Bisset ES, Howlett SE. Machine learning to spot frailty in aging mice. NATURE AGING 2022; 2:684-685. [PMID: 37118135 DOI: 10.1038/s43587-022-00267-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Affiliation(s)
- Elise S Bisset
- Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada.
| | - Susan E Howlett
- Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada.
- Department of Medicine (Geriatric Medicine), Dalhousie University, Halifax, Nova Scotia, Canada.
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