Abstract
Aging is a multifaceted process characterized by a gradual decline in physiological function and increased susceptibility to a range of chronic diseases. Among the molecular and cellular mechanisms driving aging, genomic instability is a fundamental hallmark, contributing to increased mutation load and genetic heterogeneity within cellular populations. This review explores the role of genomic instability and genetic heterogeneity in aging in the hematopoietic system, with a particular focus on clonal hematopoiesis of indeterminate potential (CHIP), monoclonal gammopathy of undetermined significance (MGUS), and monoclonal B-cell lymphocytosis (MBL) as biomarkers. CHIP involves the clonal expansion of hematopoietic stem cells with somatic mutations. In contrast, MGUS is characterized by the presence of clonal plasma cells producing monoclonal immunoglobulins, while MBL is characterized by clonal proliferation of B cells. These conditions are prevalent in the aging population and serve as measurable indicators of underlying genomic instability. Studying these entities offers valuable insights into the mechanisms by which somatic mutations accumulate and drive clonal evolution in the hematopoietic system, providing a deeper understanding of how aging impacts cellular and tissue homeostasis. In summary, the hematopoietic system serves as a powerful model for investigating the interplay between genomic instability and aging. Incorporating age-related hematological conditions into aging research, alongside other biomarkers such as epigenetic clocks, can enhance the precision and predictive power of biological age assessments. These biomarkers provide a comprehensive view of the aging process, facilitating the early detection of age-related diseases and hopefully enabling personalized healthcare strategies.
Original language | English |
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Pages (from-to) | 703-720 |
Number of pages | 18 |
Journal | GeroScience |
Volume | 47 |
Issue number | 1 |
Early online date | 15 Oct 2024 |
DOIs | |
Publication status | Published - Feb 2025 |
Bibliographical note
© 2024. The Author(s).Funding
Project no. TKP2021-NKTA-47, implemented with the support provided by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, financed under the TKP2021-NKTA funding scheme; by funding through the National Cardiovascular Laboratory Program (RRF-2.3.1-21-2022-00003) provided by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund; Project no. 135784 implemented with the support provided from the National Research, Development and Innovation Fund of Hungary, financed under the K_20 funding scheme and the European University for Well-Being (EUniWell) program (grant agreement number: 101004093/ EUniWell/EAC-A02-2019 / EAC-A02-2019-1). The funding sources had no role in the writing of the manuscript and in the decision to submit the article for publication. The 4.0 version of ChatGPT, developed by OpenAI, was used as a tool to refine our writing and enhance the clarity of our work. AL was Supported by the EK\u00D6P-2024-9 New National Excellence Program of the Ministry for Culture and Innovation from the source of the National Research, Development and Innovation Fund. Open access funding provided by Semmelweis University.
Funders | Funder number |
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Ministry of Innovation and Technology | |
Semmelweis Egyetem | |
Ministry for Culture and Innovation | |
Nemzeti Kutatási, Fejlesztési és Innovaciós Alap | 135784, RRF-2.3.1-21-2022-00003 |
European University for Well-Being | 101004093/ EUniWell/EAC-A02-2019 / EAC-A02-2019-1 |