Targeting Cellular Senescence for Healthy Aging: Advances in Senolytics and Senomorphics
Notice bibliographique
Résumé
Esther Ugo Alum,1 Sylvester Chibueze Izah,2 Daniel Ejim Uti,1 Okechukwu Paul-Chima Ugwu,1 Peter A Betiang,3 Mariam Basajja,4 Regina Idu Ejemot-Nwadiaro5 1Department of Research Publications, Kampala International University, Kampala, Uganda; 2Department of Community Medicine, Faculty of Clinical Sciences, Bayelsa Medical University, Yenagoa, Bayelsa, Nigeria; 3Department of Access Early Childhood and Special Needs Education, Kampala International University, Kampala, Uganda; 4Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Leiden, Netherlands; 5Directorate of Research, Innovation, Consultancy and Extension (RICE), Kampala International University, Kampala, UgandaCorrespondence: Esther Ugo Alum, Email esther.alum@kiu.ac.ug; alumesther79@gmail.comBackground: Cellular senescence is a fundamental characteristic of aging, marked by permanent cell cycle cessation and the release of pro-inflammatory mediators. Although senescence plays advantageous roles in tissue regeneration and tumor suppression, its accumulation leads to aging-related illnesses and functional deterioration.Objective: This review examines the processes of cellular senescence, its effects on aging and age-related disorders, and emerging therapeutic strategies to modulate senescence for promoting healthy aging.Methods: A thorough literature review was performed using peer-reviewed studies on cellular senescence, its molecular pathways, and therapeutic interventions. Emphasis was placed on senolytics, senomorphics, and lifestyle interventions that modulate senescence-associated pathways. Studies published in Scopus, Web of Science and PubMed between 2014– 2025 were selected.Results: Recent discoveries underscore the dual function of cellular senescence in aging and pathology. The senescence-associated secretory phenotype (SASP) fosters chronic inflammation and tissue dysfunction, connecting senescence to age-related diseases including cardiovascular conditions, dementia, and metabolic disorders. Therapeutic strategies, including senolytics (drugs that specifically eradicate senescent cells) and senomorphics (compounds that suppress SASP without killing cells), show promise in preclinical and clinical studies. Notably, dosing interals (intermittent vs continuous) influence both therapeutic efficacy and adverse events such as thrombocytopenia. Additionally, the state and limitations of clinical validation of aging biomarkers (eg, p16^INK4a, β-galactosidase) remain major hurdles for translation. Lifestyle interventions such as calorie restriction and exercise have also been identified as natural modulators of senescence pathways.Conclusion: Targeting cellular senescence offers a promising avenue for promoting healthy aging and mitigating age-linked diseases. Continued research into senescence-modulating interventions may lead to novel therapeutics designed to prolong healthspan and lifespan.Plain Language Summary: As we age, some of our cells stop dividing in a process called cellular senescence. These cells do not die, but instead release harmful substances that can cause inflammation and damage nearby healthy cells. While this process can be helpful early in life (like preventing cancer), too many of these cells in old age contribute to diseases such as heart problems, diabetes, and dementia.This study reviews recent research into ways to remove or control these “senescent” cells to support healthier aging. Two promising strategies are:Senolytics: drugs that kill senescent cells.Senomorphics: drugs that make senescent cells less harmful without killing them.Scientists are testing both types of drugs in animals and humans. Some natural compounds, like quercetin (found in apples and onions) and fisetin (found in strawberries), show potential benefits. Others like metformin and rapamycin, which are already used for diabetes or immune issues, might also help slow aging by targeting senescent cells.The study also emphasizes that healthy habits, like exercise and calorie restriction, naturally reduce the harmful effects of senescence.Despite promising results, challenges remain. We need more human studies to understand:Which treatments are safest and most effectiveHow to deliver them to the right parts of the bodyHow often they should be usedThe authors believe that combining senolytics, senomorphics, and lifestyle changes could significantly improve our health as we age. Keywords: cellular senescence, aging, senolytics, senomorphics, healthy aging, SASP, age-related diseases
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».