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Islam MA, Sehar U, Sultana OF, Mukherjee U, Brownell M, Kshirsagar S, Reddy PH. SuperAgers and centenarians, dynamics of healthy ageing with cognitive resilience. Mech Ageing Dev 2024; 219:111936. [PMID: 38657874 DOI: 10.1016/j.mad.2024.111936] [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: 03/08/2024] [Revised: 04/08/2024] [Accepted: 04/16/2024] [Indexed: 04/26/2024]
Abstract
Graceful healthy ageing and extended longevity is the most desired goal for human race. The process of ageing is inevitable and has a profound impact on the gradual deterioration of our physiology and health since it triggers the onset of many chronic conditions like dementia, osteoporosis, diabetes, arthritis, cancer, and cardiovascular disease. However, some people who lived/live more than 100 years called 'Centenarians" and how do they achieve their extended lifespans are not completely understood. Studying these unknown factors of longevity is important not only to establish a longer human lifespan but also to manage and treat people with shortened lifespans suffering from age-related morbidities. Furthermore, older adults who maintain strong cognitive function are referred to as "SuperAgers" and may be resistant to risk factors linked to cognitive decline. Investigating the mechanisms underlying their cognitive resilience may contribute to the development of therapeutic strategies that support the preservation of cognitive function as people age. The key to a long, physically, and cognitively healthy life has been a mystery to scientists for ages. Developments in the medical sciences helps us to a better understanding of human physiological function and greater access to medical care has led us to an increase in life expectancy. Moreover, inheriting favorable genetic traits and adopting a healthy lifestyle play pivotal roles in promoting longer and healthier lives. Engaging in regular physical activity, maintaining a balanced diet, and avoiding harmful habits such as smoking contribute to overall well-being. The synergy between positive lifestyle choices, access to education, socio-economic factors, environmental determinants and genetic supremacy enhances the potential for a longer and healthier life. Our article aims to examine the factors associated with healthy ageing, particularly focusing on cognitive health in centenarians. We will also be discussing different aspects of ageing including genomic instability, metabolic burden, oxidative stress and inflammation, mitochondrial dysfunction, cellular senescence, immunosenescence, and sarcopenia.
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Affiliation(s)
- Md Ariful Islam
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - Ujala Sehar
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - Omme Fatema Sultana
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - Upasana Mukherjee
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - Malcolm Brownell
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - Sudhir Kshirsagar
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - P Hemachandra Reddy
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA; Public Health Department of Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Speech, Language and Hearing Sciences, School Health Professions, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Neurology, Departments of School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Pharmacology and Neuroscience, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Nutritional Sciences Department, College of Human Sciences, Texas Tech University, 1301 Akron Ave, Lubbock, TX 79409, USA.
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Lozada-Martinez ID, Diazgranados-Garcia MC, Castelblanco-Toro S, Anaya JM. Global Research on Centenarians: A Historical and Comprehensive Bibliometric Analysis from 1887 to 2023. Ann Geriatr Med Res 2024; 28:144-155. [PMID: 38584431 PMCID: PMC11217658 DOI: 10.4235/agmr.24.0043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 03/19/2024] [Accepted: 03/27/2024] [Indexed: 04/09/2024] Open
Abstract
BACKGROUND Centenarians are considered the most successful human biological aging model. However, the characteristics and patterns of research among centenarians have not been described or analyzed. Thus, this study aimed to disclose the historical landscape of global research on centenarians. METHODS This bibliometric study investigated historical evidence on centenarian research published in the Scopus database. The bibliometrix package in R was used to perform visual and quantitative analyses of research metrics, trends, and patterns. RESULTS Of the 2,061 documents included between 1887 and 2023, 84.2% (n=1,736) were published as articles with primary data. We identified international collaboration and annual growth rates of 21.4% and 3.15%, respectively. The United States published the highest number of papers on centenarians (n=786), whereas the publications from Italy had the highest impact (h-index of 90). Based on the frequency of keywords, mortality, genetics, dementia, Alzheimer's disease, and immunosenescence are a few of the most studied topics among centenarians, with emerging research related to mitochondrial DNA and comparison of results between nonagenarians and centenarians. Italy, the United States, and China lead the global research collaboration network, collaborating most frequently with Japan and European countries. CONCLUSION Global research on centenarians has grown over the last 20 years, primarily led by Italy, the United States, and China. Latin American and African countries have conducted little or no research on centenarians. The most widely studied topics include mortality, cognition, immunosenescence, and genetics.
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Affiliation(s)
- Ivan David Lozada-Martinez
- Health Research and Innovation Center at Coosalud EPS, Cartagena, Colombia
- Colombian Centenarians Alliance, Cartagena, Colombia
| | | | - Sandra Castelblanco-Toro
- Colombian Centenarians Alliance, Cartagena, Colombia
- Intellectus Memory and Cognition Center, Hospital Universitario San Ignacio, Bogotá, Colombia
- Institute of Aging, Faculty of Medicine, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Juan-Manuel Anaya
- Health Research and Innovation Center at Coosalud EPS, Cartagena, Colombia
- Colombian Centenarians Alliance, Cartagena, Colombia
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Anaya JM, Lozada-Martinez ID, Torres I, Shoenfeld Y. Autoimmunity in centenarians. A paradox. J Transl Autoimmun 2024; 8:100237. [PMID: 38468861 PMCID: PMC10926223 DOI: 10.1016/j.jtauto.2024.100237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 03/13/2024] Open
Abstract
Autoimmune diseases (ADs) are one of the groups of chronic illnesses that impose a significant burden of disease and health costs worldwide. Age is a crucial risk factor for the onset of ADs. Theoretically, it is inferred that with organic and immune system aging, the loss of immune tolerance and specificity of immune activity becomes more intense, the probability of autoimmunity is increasing. However, there is a group of individuals whose prevalence of ADs is very low or non-existent, despite the biological aging. This paradox in autoimmunity raises questions. Centenarians, individuals who are over 100 years old, are possibly the most successful model of biological aging in humans. Most of these individuals exhibit a favorable health phenotype. To date, primary data evidence and potential hypotheses explaining this phenomenon are lacking globally, even though this paradox could provide valuable, original, and relevant information regarding the understanding of risk or protective factors, biological drivers, and biomarkers related to autoimmunity. Herein we discuss some hypothesis that may explain the absence of ADs in centenarians, including inflammaging, immunosenescence and immune resilience, immune system hyperstimulation, proteodynamics, and genetics.
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Affiliation(s)
- Juan-Manuel Anaya
- Health Research and Innovation Center at Coosalud EPS, Cartagena, 130001, Colombia
| | | | - Isaura Torres
- Medical Sciences Research Group, School of Life Sciences and Medicine, Universidad EIA, Envigado, Colombia
| | - Yehuda Shoenfeld
- Zabludowicz Center for Autoimmune Diseases, Sheba Medical Center, Tel-Hashomer 5265601, Reichman University, Herzliya, Israel
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Reed ER, Chandler KB, Lopez P, Costello CE, Andersen SL, Perls TT, Li M, Bae H, Soerensen M, Monti S, Sebastiani P. Cross-platform proteomics signatures of extreme old age. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.10.588876. [PMID: 38645061 PMCID: PMC11030369 DOI: 10.1101/2024.04.10.588876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
In previous work we used a Somalogic platform targeting approximately 5000 proteins to generate a serum protein signature of centenarians that we validated in independent studies that used the same technology. We set here to validate and possibly expand the results by profiling the serum proteome of a subset of individuals included in the original study using liquid chromatography tandem mass spectrometry (LC-MS/MS). Following pre-processing, the LC-MS/MS data provided quantification of 398 proteins, with only 266 proteins shared by both platforms. At 1% FDR statistical significance threshold, the analysis of LC-MS/MS data detected 44 proteins associated with extreme old age, including 23 of the original analysis. To identify proteins for which associations between expression and extreme-old age were conserved across platforms, we performed inter-study conservation testing of the 266 proteins quantified by both platforms using a method that accounts for the correlation between the results. From these tests, a total of 80 proteins reached 5% FDR statistical significance, and 26 of these proteins had concordant pattern of gene expression in whole blood. This signature of 80 proteins points to blood coagulation, IGF signaling, extracellular matrix (ECM) organization, and complement cascade as important pathways whose protein level changes provide evidence for age-related adjustments that distinguish centenarians from younger individuals.
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Affiliation(s)
- Eric R Reed
- Data Intensive Study Center, Tufts University, Boston, MA, USA
| | - Kevin B Chandler
- Center for Biomedical Mass Spectrometry, Department of Biochemistry and Cell Biology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Cellular and Molecular Medicine, Florida International University, Miami, FL, USA
| | - Prisma Lopez
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
| | - Catherine E Costello
- Center for Biomedical Mass Spectrometry, Department of Biochemistry and Cell Biology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Stacy L Andersen
- Geriatric Section, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA
| | - Thomas T Perls
- Geriatric Section, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA
| | - Mengze Li
- Division of Computational Biomedicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Harold Bae
- Biostatistics Program, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Mette Soerensen
- Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Stefano Monti
- Division of Computational Biomedicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Paola Sebastiani
- Data Intensive Study Center, Tufts University, Boston, MA, USA
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
- Department of Medicine, School of Medicine, Tufts University, Boston, MA, USA
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Burns AR, Wiedrick J, Feryn A, Maes M, Midha MK, Baxter DH, Morrone SR, Prokop TJ, Kapil C, Hoopmann MR, Kusebauch U, Deutsch EW, Rappaport N, Watanabe K, Moritz RL, Miller RA, Lapidus JA, Orwoll ES. Proteomic changes induced by longevity-promoting interventions in mice. GeroScience 2024; 46:1543-1560. [PMID: 37653270 PMCID: PMC10828338 DOI: 10.1007/s11357-023-00917-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 08/20/2023] [Indexed: 09/02/2023] Open
Abstract
Using mouse models and high-throughput proteomics, we conducted an in-depth analysis of the proteome changes induced in response to seven interventions known to increase mouse lifespan. This included two genetic mutations, a growth hormone receptor knockout (GHRKO mice) and a mutation in the Pit-1 locus (Snell dwarf mice), four drug treatments (rapamycin, acarbose, canagliflozin, and 17α-estradiol), and caloric restriction. Each of the interventions studied induced variable changes in the concentrations of proteins across liver, kidney, and gastrocnemius muscle tissue samples, with the strongest responses in the liver and limited concordance in protein responses across tissues. To the extent that these interventions promote longevity through common biological mechanisms, we anticipated that proteins associated with longevity could be identified by characterizing shared responses across all or multiple interventions. Many of the proteome alterations induced by each intervention were distinct, potentially implicating a variety of biological pathways as being related to lifespan extension. While we found no protein that was affected similarly by every intervention, we identified a set of proteins that responded to multiple interventions. These proteins were functionally diverse but tended to be involved in peroxisomal oxidation and metabolism of fatty acids. These results provide candidate proteins and biological mechanisms related to enhancing longevity that can inform research on therapeutic approaches to promote healthy aging.
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Affiliation(s)
- Adam R Burns
- Biostatistics & Design Program, Oregon Health & Science University, Portland, OR, USA.
| | - Jack Wiedrick
- Biostatistics & Design Program, Oregon Health & Science University, Portland, OR, USA
| | - Alicia Feryn
- Biostatistics & Design Program, Oregon Health & Science University, Portland, OR, USA
| | - Michal Maes
- Institute for Systems Biology, Seattle, WA, USA
| | | | | | | | | | - Charu Kapil
- Institute for Systems Biology, Seattle, WA, USA
| | | | | | | | | | | | | | - Richard A Miller
- Department of Pathology and Geriatrics Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Jodi A Lapidus
- School of Public Health, Oregon Health & Science University-Portland State University, Portland, OR, USA
| | - Eric S Orwoll
- Department of Endocrinology, Oregon Health & Science University, Portland, OR, USA
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Dowrey TW, Cranston SF, Skvir N, Lok Y, Gould B, Petrowitz B, Villar D, Shan J, James M, Dodge M, Belkina AC, Giadone RM, Sebastiani P, Perls TT, Andersen SL, Murphy GJ. A longevity-specific bank of induced pluripotent stem cells from centenarians and their offspring. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.12.584663. [PMID: 38559230 PMCID: PMC10979955 DOI: 10.1101/2024.03.12.584663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Centenarians provide a unique lens through which to study longevity, healthy aging, and resiliency. Moreover, models of human aging and resilience to disease that allow for the testing of potential interventions are virtually non-existent. We obtained and characterized over 50 centenarian and offspring peripheral blood samples including those connected to functional independence data highlighting resistance to disability and cognitive impairment. Targeted methylation arrays were used in molecular aging clocks to compare and contrast differences between biological and chronological age in these specialized subjects. Isolated peripheral blood mononuclear cells (PBMCs) were then successfully reprogrammed into high-quality induced pluripotent stem cell (iPSC) lines which were functionally characterized for pluripotency, genomic stability, and the ability to undergo directed differentiation. The result of this work is a one-of-a-kind resource for studies of human longevity and resilience that can fuel the discovery and validation of novel therapeutics for aging-related disease.
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Lozada-Martinez I, Anaya JM. Missing centenarians are an international concern. NATURE AGING 2024; 4:277-278. [PMID: 38366011 DOI: 10.1038/s43587-024-00587-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/18/2024]
Affiliation(s)
| | - Juan-Manuel Anaya
- Health Research and Innovation Center, Coosalud EPS, Cartagena, Colombia
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Teuscher AC, Statzer C, Goyala A, Domenig SA, Schoen I, Hess M, Hofer AM, Fossati A, Vogel V, Goksel O, Aebersold R, Ewald CY. Longevity interventions modulate mechanotransduction and extracellular matrix homeostasis in C. elegans. Nat Commun 2024; 15:276. [PMID: 38177158 PMCID: PMC10766642 DOI: 10.1038/s41467-023-44409-2] [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: 01/06/2023] [Accepted: 12/12/2023] [Indexed: 01/06/2024] Open
Abstract
Dysfunctional extracellular matrices (ECM) contribute to aging and disease. Repairing dysfunctional ECM could potentially prevent age-related pathologies. Interventions promoting longevity also impact ECM gene expression. However, the role of ECM composition changes in healthy aging remains unclear. Here we perform proteomics and in-vivo monitoring to systematically investigate ECM composition (matreotype) during aging in C. elegans revealing three distinct collagen dynamics. Longevity interventions slow age-related collagen stiffening and prolong the expression of collagens that are turned over. These prolonged collagen dynamics are mediated by a mechanical feedback loop of hemidesmosome-containing structures that span from the exoskeletal ECM through the hypodermis, basement membrane ECM, to the muscles, coupling mechanical forces to adjust ECM gene expression and longevity via the transcriptional co-activator YAP-1 across tissues. Our results provide in-vivo evidence that coordinated ECM remodeling through mechanotransduction is required and sufficient to promote longevity, offering potential avenues for interventions targeting ECM dynamics.
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Affiliation(s)
- Alina C Teuscher
- Laboratory of Extracellular Matrix Regeneration, Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, CH-8603, Switzerland
| | - Cyril Statzer
- Laboratory of Extracellular Matrix Regeneration, Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, CH-8603, Switzerland
| | - Anita Goyala
- Laboratory of Extracellular Matrix Regeneration, Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, CH-8603, Switzerland
| | - Seraina A Domenig
- Laboratory of Extracellular Matrix Regeneration, Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, CH-8603, Switzerland
| | - Ingmar Schoen
- School of Pharmacy and Biomolecular Sciences, Irish Centre for Vascular Biology, Royal College of Surgeons in Ireland, Dublin 2, Ireland
- Laboratory of Applied Mechanobiology, Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zürich, Zurich, Switzerland
| | - Max Hess
- Laboratory of Extracellular Matrix Regeneration, Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, CH-8603, Switzerland
| | - Alexander M Hofer
- Laboratory of Extracellular Matrix Regeneration, Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, CH-8603, Switzerland
| | - Andrea Fossati
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zurich, Switzerland
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, 94158, CA, USA
| | - Viola Vogel
- Laboratory of Applied Mechanobiology, Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zürich, Zurich, Switzerland
| | - Orcun Goksel
- Department of Information Technology and Electrical Engineering, ETH Zürich, Zürich, Switzerland
- Department of Information Technology, Uppsala University, Uppsala, Sweden
| | - Ruedi Aebersold
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zurich, Switzerland
| | - Collin Y Ewald
- Laboratory of Extracellular Matrix Regeneration, Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, CH-8603, Switzerland.
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Yuan L, Jiang Q, Zhai Y, Zhao Z, Liu Y, Hu F, Qian Y, Sun J. Association between Plant-based Diet and Risk of Chronic Diseases and All-Cause Mortality in Centenarians in China: A Cohort Study. Curr Dev Nutr 2024; 8:102065. [PMID: 38234579 PMCID: PMC10792746 DOI: 10.1016/j.cdnut.2023.102065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 12/12/2023] [Accepted: 12/15/2023] [Indexed: 01/19/2024] Open
Abstract
Background Numerous studies have suggested the health benefits of a plant-based dietary pattern. However, whether this dietary pattern is associated with health benefits for centenarians remains unexplored. Our study aimed to investigate the correlation between 16 widely consumed Chinese food items and the incidence rates of chronic diseases and all-cause mortality among centenarians. Methods We conducted a dietary survey on 3372 centenarians with an average age of 102.33 y in China. After rigorous screening, we identified 2675 centenarians, who underwent a 10-y follow-up study with all-cause mortality as the primary outcome. We developed 6 dietary patterns on the basis of the food consumption frequency of each participant. To model the impact of missing values, we employed multiple imputation methods, verifying the robustness of models. Results The overall plant-based diet index (PDI), healthy plant-based diet index (hPDI), unhealthy plant-based diet index (uPDI), healthy plant-based foods index (HPF), unhealthy plant-based foods index (uHPF), and animal-based foods index (AF) scores among centenarians in China were 46.95 ± 6.29, 44.43 ± 5.76, 51.09 ± 6.26, 21.63 ± 4.79, 9.91 ± 2.41, and 14.59 ± 3.58, respectively. High scores of PDI, hPDI, and HPF were associated with a lower risk of chronic diseases. In the 10-y follow-up study, 92.90% of centenarians have died. The high scores of the PDI (HRPDI = 0.81), hPDI (HRhPDI = 0.79), and HPF (HRHPF = 0.81) scores were significantly associated with a lower risk of death compared with the low scores. Conversely, the high AF score (HRAF = 1.17) was significantly associated with a higher risk of death compared with the low scores. Conclusion Despite the fact that a higher score in both a predominantly plant-based dietary pattern and a healthy dietary pattern can decrease the death among centenarians, not all HPFs have this effect. A higher AF predicted a higher risk of mortality, whereas higher PDI, hPDI, and HPF were associated with a lower risk of mortality among Chinese centenarians.
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Affiliation(s)
- Lei Yuan
- Department of Health Management, Faculty of Military Health Service, Naval Medical University, Shanghai, China
| | - QinQin Jiang
- Department of Health Management, Faculty of Military Health Service, Naval Medical University, Shanghai, China
| | - Yinghong Zhai
- Clinical Research Unit, School of Medicine, Shanghai 9th People's Hospital Affiliated to Shanghai JiaoTong University, Shanghai, China
| | - Zhe Zhao
- Department of Health Management, Faculty of Military Health Service, Naval Medical University, Shanghai, China
| | - Yijun Liu
- Department of Health Management, Faculty of Military Health Service, Naval Medical University, Shanghai, China
| | - Fangyuan Hu
- Department of Medical Service, Naval Hospital of Eastern Theater, Zhoushan, China
| | - Yi Qian
- College of Health Management, Southern Medical University, Guangzhou, China
| | - Jinhai Sun
- Department of Health Management, Faculty of Military Health Service, Naval Medical University, Shanghai, China
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Kuehnemann C, Wiley CD. Senescent cells at the crossroads of aging, disease, and tissue homeostasis. Aging Cell 2024; 23:e13988. [PMID: 37731189 PMCID: PMC10776127 DOI: 10.1111/acel.13988] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 08/15/2023] [Accepted: 08/18/2023] [Indexed: 09/22/2023] Open
Abstract
Originally identified as an outcome of continuous culture of primary cells, cellular senescence has moved beyond the culture dish and is now a bona fide driver of aging and disease in animal models, and growing links to human disease. This cellular stress response consists of a stable proliferative arrest coupled to multiple phenotypic changes. Perhaps the most important of these is the senescence-associated secretory phenotype, or senescence-associated secretory phenotype -a complex and variable collection of secreted molecules release by senescent cells with a number of potent biological activities. Senescent cells appear in multiple age-associated conditions in humans and mice, and interventions that eliminate these cells can prevent or even reverse multiple diseases in mouse models. Here, we review salient aspects of senescent cells in the context of human disease and homeostasis. Senescent cells increase in abundance during several diseases that associated with premature aging. Conversely, senescent cells have a key role in beneficial processes such as development and wound healing, and thus can help maintain tissue homeostasis. Finally, we speculate on mechanisms by which deleterious aspects of senescent cells might be targeted while retaining homeostatic aspects in order to improve age-related outcomes.
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Affiliation(s)
- Chisaka Kuehnemann
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts UniversityBostonMassachusettsUSA
| | - Christopher D. Wiley
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts UniversityBostonMassachusettsUSA
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Jabalameli M, Lin JR, Zhang Q, Wang Z, Mitra J, Nguyen N, Gao T, Khusidman M, Atzmon G, Milman S, Vijg J, Barzilai N, Zhang ZD. Polygenic prediction of human longevity on the supposition of pervasive pleiotropy. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.10.23299795. [PMID: 38168353 PMCID: PMC10760260 DOI: 10.1101/2023.12.10.23299795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
The highly polygenic nature of human longevity renders cross-trait pleiotropy an indispensable feature of its genetic architecture. Leveraging the genetic correlation between the aging-related traits (ARTs), we sought to model the additive variance in lifespan as a function of cumulative liability from pleiotropic segregating variants. We tracked allele frequency changes as a function of viability across different age bins and prioritized 34 variants with an immediate implication on lipid metabolism, body mass index (BMI), and cognitive performance, among other traits, revealed by PheWAS analysis in the UK Biobank. Given the highly complex and non-linear interactions between the genetic determinants of longevity, we reasoned that a composite polygenic score would approximate a substantial portion of the variance in lifespan and developed the integrated longevity genetic scores (iLGSs) for distinguishing exceptional survival. We showed that coefficients derived from our ensemble model could potentially reveal an interesting pattern of genomic pleiotropy specific to lifespan. We assessed the predictive performance of our model for distinguishing the enrichment of exceptional longevity among long-lived individuals in two replication cohorts and showed that the median lifespan in the highest decile of our composite prognostic index is up to 4.8 years longer. Finally, using the proteomic correlates of i L G S , we identified protein markers associated with exceptional longevity irrespective of chronological age and prioritized drugs with repurposing potentials for gerotherapeutics. Together, our approach demonstrates a promising framework for polygenic modeling of additive liability conferred by ARTs in defining exceptional longevity and assisting the identification of individuals at higher risk of mortality for targeted lifestyle modifications earlier in life. Furthermore, the proteomic signature associated with i L G S highlights the functional pathway upstream of the PI3K-Akt that can be effectively targeted to slow down aging and extend lifespan.
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Affiliation(s)
- M.Reza Jabalameli
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Jhih-Rong Lin
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Quanwei Zhang
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Zhen Wang
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Joydeep Mitra
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Nha Nguyen
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Tina Gao
- Department of Medicine, Albert Einstein College of Medicine, New York, NY, USA
| | - Mark Khusidman
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Gil Atzmon
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Sofiya Milman
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
- Department of Medicine, Albert Einstein College of Medicine, New York, NY, USA
| | - Jan Vijg
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
| | - Nir Barzilai
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
- Department of Medicine, Albert Einstein College of Medicine, New York, NY, USA
| | - Zhengdong D. Zhang
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, USA
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Elenbaas JS, Jung IH, Coler-Reilly A, Lee PC, Alisio A, Stitziel NO. The emerging Janus face of SVEP1 in development and disease. Trends Mol Med 2023; 29:939-950. [PMID: 37673700 PMCID: PMC10592172 DOI: 10.1016/j.molmed.2023.08.002] [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: 06/06/2023] [Revised: 08/03/2023] [Accepted: 08/07/2023] [Indexed: 09/08/2023]
Abstract
Sushi, von Willebrand factor type A, EGF, and pentraxin domain containing 1 (SVEP1) is a large extracellular matrix protein that is also detected in circulation. Recent plasma proteomic and genomic studies have revealed a large number of associations between SVEP1 and human traits, particularly chronic disease. These include associations with cardiac death and disease, diabetes, platelet traits, glaucoma, dementia, and aging; many of these are causal. Animal models demonstrate that SVEP1 is critical in vascular development and disease, but its molecular and cellular mechanisms remain poorly defined. Future studies should aim to characterize these mechanisms and determine the diagnostic, prognostic, and therapeutic value of measuring or intervening on this enigmatic protein.
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Affiliation(s)
- Jared S Elenbaas
- Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA; Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - In-Hyuk Jung
- Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Ariella Coler-Reilly
- Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO 63110, USA; Division of Bone and Mineral Diseases, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Paul C Lee
- Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA; Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Arturo Alisio
- Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Nathan O Stitziel
- Center for Cardiovascular Research, Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO 63110, USA; McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO 63108, USA; Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110, USA.
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13
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Perry AS, Zhao S, Gajjar P, Murthy VL, Lehallier B, Miller P, Nair S, Neill C, Carr JJ, Fearon W, Kapadia S, Kumbhani D, Gillam L, Lindenfeld J, Farrell L, Marron MM, Tian Q, Newman AB, Murabito J, Gerszten RE, Nayor M, Elmariah S, Lindman BR, Shah R. Proteomic architecture of frailty across the spectrum of cardiovascular disease. Aging Cell 2023; 22:e13978. [PMID: 37731195 PMCID: PMC10652351 DOI: 10.1111/acel.13978] [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: 06/05/2023] [Revised: 08/14/2023] [Accepted: 08/16/2023] [Indexed: 09/22/2023] Open
Abstract
While frailty is a prominent risk factor in an aging population, the underlying biology of frailty is incompletely described. Here, we integrate 979 circulating proteins across a wide range of physiologies with 12 measures of frailty in a prospective discovery cohort of 809 individuals with severe aortic stenosis (AS) undergoing transcatheter aortic valve implantation. Our aim was to characterize the proteomic architecture of frailty in a highly susceptible population and study its relation to clinical outcome and systems-wide phenotypes to define potential novel, clinically relevant frailty biology. Proteomic signatures (specifically of physical function) were related to post-intervention outcome in AS, specifying pathways of innate immunity, cell growth/senescence, fibrosis/metabolism, and a host of proteins not widely described in human aging. In published cohorts, the "frailty proteome" displayed heterogeneous trajectories across age (20-100 years, age only explaining a small fraction of variance) and were associated with cardiac and non-cardiac phenotypes and outcomes across two broad validation cohorts (N > 35,000) over ≈2-3 decades. These findings suggest the importance of precision biomarkers of underlying multi-organ health status in age-related morbidity and frailty.
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Affiliation(s)
- Andrew S. Perry
- Vanderbilt Translational and Clinical Cardiovascular Research CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Shilin Zhao
- Vanderbilt Translational and Clinical Cardiovascular Research CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Priya Gajjar
- Cardiovascular Medicine Section, Department of MedicineBoston University School of MedicineBostonMassachusettsUSA
| | | | | | - Patricia Miller
- Department of Medicine, and Department of BiostatisticsBoston University School of MedicineBostonMassachusettsUSA
| | - Sangeeta Nair
- Vanderbilt Translational and Clinical Cardiovascular Research CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Colin Neill
- Department of Medicine, Division of Cardiovascular MedicineUniversity of Wisconsin Hospital and ClinicsMadisonWisconsinUSA
| | - J. Jeffrey Carr
- Vanderbilt Translational and Clinical Cardiovascular Research CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - William Fearon
- Department of Medicine, Division of CardiologyStanford Medical CenterPalo AltoCaliforniaUSA
| | - Samir Kapadia
- Department of Medicine, Division of CardiologyCleveland Clinic FoundationClevelandOhioUSA
| | - Dharam Kumbhani
- Department of Medicine, Division of CardiologyUniversity of Texas Southwestern Medical CenterDallasTexasUSA
| | - Linda Gillam
- Department of Cardiovascular MedicineMorristown Medical CenterMorristownNew JerseyUSA
| | - JoAnn Lindenfeld
- Vanderbilt Translational and Clinical Cardiovascular Research CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Laurie Farrell
- Broad Institute of Harvard and MITCambridgeMassachusettsUSA
| | - Megan M. Marron
- Department of Epidemiology, Graduate School of Public HealthUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Qu Tian
- National Institute on Aging, National Institutes of HealthBaltimoreMarylandUSA
| | - Anne B. Newman
- Department of Epidemiology, Graduate School of Public HealthUniversity of PittsburghPittsburghPennsylvaniaUSA
- Departments of Medicine and Clinical and Translational ScienceUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Joanne Murabito
- Sections of Cardiovascular Medicine and Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMassachusettsUSA
| | - Robert E. Gerszten
- Broad Institute of Harvard and MITCambridgeMassachusettsUSA
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Harvard Medical SchoolBostonMassachusettsUSA
| | - Matthew Nayor
- Sections of Cardiovascular Medicine and Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMassachusettsUSA
| | - Sammy Elmariah
- Department of Medicine, Division of CardiologyThe University of CaliforniaSan FranciscoCaliforniaUSA
| | - Brian R. Lindman
- Vanderbilt Translational and Clinical Cardiovascular Research CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
| | - Ravi Shah
- Vanderbilt Translational and Clinical Cardiovascular Research CenterVanderbilt University School of MedicineNashvilleTennesseeUSA
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14
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Quintana‐Torres D, Valle‐Cao A, Bousquets‐Muñoz P, Freitas‐Rodríguez S, Rodríguez F, Lucia A, López‐Otín C, López‐Soto A, Folgueras AR. The secretome atlas of two mouse models of progeria. Aging Cell 2023; 22:e13952. [PMID: 37565451 PMCID: PMC10577534 DOI: 10.1111/acel.13952] [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: 06/06/2023] [Revised: 07/21/2023] [Accepted: 07/25/2023] [Indexed: 08/12/2023] Open
Abstract
Hutchinson-Gilford progeria syndrome (HGPS) is a rare genetic disease caused by nuclear envelope alterations that lead to accelerated aging and premature death. Several studies have linked health and longevity to cell-extrinsic mechanisms, highlighting the relevance of circulating factors in the aging process as well as in age-related diseases. We performed a global plasma proteomic analysis in two preclinical progeroid models (LmnaG609G/G609G and Zmpste24-/- mice) using aptamer-based proteomic technology. Pathways related to the extracellular matrix, growth factor response and calcium ion binding were among the most enriched in the proteomic signature of progeroid samples compared to controls. Despite the global downregulation trend found in the plasma proteome of progeroid mice, several proteins associated with cardiovascular disease, the main cause of death in HGPS, were upregulated. We also developed a chronological age predictor using plasma proteome data from a cohort of healthy mice (aged 1-30 months), that reported an age acceleration when applied to progeroid mice, indicating that these mice exhibit an "old" plasma proteomic signature. Furthermore, when compared to naturally-aged mice, a great proportion of differentially expressed circulating proteins in progeroid mice were specific to premature aging, highlighting secretome-associated differences between physiological and accelerated aging. This is the first large-scale profiling of the plasma proteome in progeroid mice, which provides an extensive list of candidate circulating plasma proteins as potential biomarkers and/or therapeutic targets for further exploration and hypothesis generation in the context of both physiological and premature aging.
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Affiliation(s)
- Diego Quintana‐Torres
- Departamento de Bioquímica y Biología Molecular, Facultad de MedicinaInstituto Universitario de Oncología del Principado de Asturias (IUOPA), Universidad de OviedoOviedoSpain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA)OviedoSpain
| | - Alejandra Valle‐Cao
- Departamento de Bioquímica y Biología Molecular, Facultad de MedicinaInstituto Universitario de Oncología del Principado de Asturias (IUOPA), Universidad de OviedoOviedoSpain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA)OviedoSpain
| | - Pablo Bousquets‐Muñoz
- Departamento de Bioquímica y Biología Molecular, Facultad de MedicinaInstituto Universitario de Oncología del Principado de Asturias (IUOPA), Universidad de OviedoOviedoSpain
| | - Sandra Freitas‐Rodríguez
- Departamento de Bioquímica y Biología Molecular, Facultad de MedicinaInstituto Universitario de Oncología del Principado de Asturias (IUOPA), Universidad de OviedoOviedoSpain
| | - Francisco Rodríguez
- Departamento de Bioquímica y Biología Molecular, Facultad de MedicinaInstituto Universitario de Oncología del Principado de Asturias (IUOPA), Universidad de OviedoOviedoSpain
| | - Alejandro Lucia
- CIBER of Frailty and Healthy Aging (CIBERFES) and Instituto de Investigación 12 de Octubre (i+12)MadridSpain
- Faculty of Sport SciencesUniversidad EuropeaMadridSpain
| | - Carlos López‐Otín
- Departamento de Bioquímica y Biología Molecular, Facultad de MedicinaInstituto Universitario de Oncología del Principado de Asturias (IUOPA), Universidad de OviedoOviedoSpain
| | - Alejandro López‐Soto
- Departamento de Bioquímica y Biología Molecular, Facultad de MedicinaInstituto Universitario de Oncología del Principado de Asturias (IUOPA), Universidad de OviedoOviedoSpain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA)OviedoSpain
| | - Alicia R. Folgueras
- Departamento de Bioquímica y Biología Molecular, Facultad de MedicinaInstituto Universitario de Oncología del Principado de Asturias (IUOPA), Universidad de OviedoOviedoSpain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA)OviedoSpain
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15
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Yamamoto KK, Savage-Dunn C. TGF-β pathways in aging and immunity: lessons from Caenorhabditis elegans. Front Genet 2023; 14:1220068. [PMID: 37732316 PMCID: PMC10507863 DOI: 10.3389/fgene.2023.1220068] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 08/23/2023] [Indexed: 09/22/2023] Open
Abstract
The Transforming Growth Factor-β (TGF-β) superfamily of signaling molecules plays critical roles in development, differentiation, homeostasis, and disease. Due to the conservation of these ligands and their signaling pathways, genetic studies in invertebrate systems including the nematode Caenorhabditis elegans have been instrumental in identifying signaling mechanisms. C. elegans is also a premier organism for research in longevity and healthy aging. Here we summarize current knowledge on the roles of TGF-β signaling in aging and immunity.
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Affiliation(s)
| | - Cathy Savage-Dunn
- Department of Biology, Queens College, and PhD Program in Biology, The Graduate Center, City University of New York, New York City, NY, United States
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16
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Niederberger C, Vermeersch A, Davidhi F, Ewald CY, Havenith G, Goldhahn J, Dincer C, Brasier N. Wearable sweat analysis to determine biological age. Trends Biotechnol 2023; 41:1113-1116. [PMID: 36822913 DOI: 10.1016/j.tibtech.2023.02.001] [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: 12/27/2022] [Revised: 01/25/2023] [Accepted: 02/01/2023] [Indexed: 02/23/2023]
Abstract
A real-time, noninvasive, and clinically applicable aging test in humans has yet to be established. Herein we propose a sweat- and wearable-based test to determine biological age. This test would empower users to monitor their aging process and take an active role in managing their lifestyle and health.
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Affiliation(s)
- Carmela Niederberger
- Department of Health Sciences and Technology, Institute of Translational Medicine, ETH, Zurich, Switzerland
| | - Arthur Vermeersch
- Department of Health Sciences and Technology, Institute of Translational Medicine, ETH, Zurich, Switzerland
| | - Flavia Davidhi
- Department of Health Sciences and Technology, Institute of Translational Medicine, ETH, Zurich, Switzerland
| | - Collin Y Ewald
- Laboratory of Extracellular Matrix Regeneration, Department of Health Sciences and Technology, Institute of Translational Medicine, ETH Zurich, Schwerzenbach, Switzerland
| | - George Havenith
- Environmental Ergonomics Research Centre, Loughborough Design School, Loughborough University, Loughborough, Leicestershire, LE11 3TU, UK
| | - Jörg Goldhahn
- Department of Health Sciences and Technology, Institute of Translational Medicine, ETH, Zurich, Switzerland
| | - Can Dincer
- FIT Freiburg Center for Interactive Materials and Bioinspired Technologies, University of Freiburg, Georges-Koehler-Allee 105, 79110 Freiburg, Germany; Department of Microsystems Engineering (IMTEK), University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany.
| | - Noé Brasier
- Department of Health Sciences and Technology, Institute of Translational Medicine, ETH, Zurich, Switzerland; Department of Digitalization & ICT, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland.
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17
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Park JYC, King A, Björk V, English BW, Fedintsev A, Ewald CY. Strategic outline of interventions targeting extracellular matrix for promoting healthy longevity. Am J Physiol Cell Physiol 2023; 325:C90-C128. [PMID: 37154490 DOI: 10.1152/ajpcell.00060.2023] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 04/28/2023] [Accepted: 04/28/2023] [Indexed: 05/10/2023]
Abstract
The extracellular matrix (ECM), composed of interlinked proteins outside of cells, is an important component of the human body that helps maintain tissue architecture and cellular homeostasis. As people age, the ECM undergoes changes that can lead to age-related morbidity and mortality. Despite its importance, ECM aging remains understudied in the field of geroscience. In this review, we discuss the core concepts of ECM integrity, outline the age-related challenges and subsequent pathologies and diseases, summarize diagnostic methods detecting a faulty ECM, and provide strategies targeting ECM homeostasis. To conceptualize this, we built a technology research tree to hierarchically visualize possible research sequences for studying ECM aging. This strategic framework will hopefully facilitate the development of future research on interventions to restore ECM integrity, which could potentially lead to the development of new drugs or therapeutic interventions promoting health during aging.
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Affiliation(s)
- Ji Young Cecilia Park
- Laboratory of Extracellular Matrix Regeneration, Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, Switzerland
| | - Aaron King
- Foresight Institute, San Francisco, California, United States
| | | | - Bradley W English
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | | | - Collin Y Ewald
- Laboratory of Extracellular Matrix Regeneration, Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, Switzerland
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18
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Bao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, Wang S, Wang X, Wang X, Wang YJ, Wang Y, Wong CCL, Xiang AP, Xiao Y, Xie Z, Xu D, Ye J, Yue R, Zhang C, Zhang H, Zhang L, Zhang W, Zhang Y, Zhang YW, Zhang Z, Zhao T, Zhao Y, Zhu D, Zou W, Pei G, Liu GH. Biomarkers of aging. SCIENCE CHINA. LIFE SCIENCES 2023; 66:893-1066. [PMID: 37076725 PMCID: PMC10115486 DOI: 10.1007/s11427-023-2305-0] [Citation(s) in RCA: 77] [Impact Index Per Article: 77.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 02/27/2023] [Indexed: 04/21/2023]
Abstract
Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant.
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Affiliation(s)
- Hainan Bao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Jiani Cao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Mengting Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Min Chen
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wei Chen
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China
| | - Xiao Chen
- Department of Nuclear Medicine, Daping Hospital, Third Military Medical University, Chongqing, 400042, China
| | - Yanhao Chen
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yu Chen
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Yutian Chen
- The Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Zhiyang Chen
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China
| | - Jagadish K Chhetri
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yingjie Ding
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Junlin Feng
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Jun Guo
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Mengmeng Guo
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Chuting He
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Yujuan Jia
- Department of Neurology, First Affiliated Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - Haiping Jiang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Ying Jing
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Dingfeng Li
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China
| | - Jiaming Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jingyi Li
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Qinhao Liang
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China
| | - Rui Liang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China
| | - Feng Liu
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China
| | - Xiaoqian Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Zuojun Liu
- School of Life Sciences, Hainan University, Haikou, 570228, China
| | - Oscar Junhong Luo
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jianwei Lv
- School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Jingyi Ma
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Kehang Mao
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China
| | - Jiawei Nie
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinhua Qiao
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xinpei Sun
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Jianfang Wang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Qiaoran Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siyuan Wang
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Xuan Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China
| | - Yaning Wang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuhan Wang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Rimo Wu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Kai Xia
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Fu-Hui Xiao
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Lingyan Xu
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Yingying Xu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Haoteng Yan
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Liang Yang
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China
| | - Ruici Yang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yuanxin Yang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Yilin Ying
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China
| | - Le Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Weiwei Zhang
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China
| | - Wenwan Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xing Zhang
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Zhuo Zhang
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Min Zhou
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Qingchen Zhu
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Zhengmao Zhu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Feng Cao
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China.
| | - Zhongwei Cao
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Piu Chan
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
| | - Chang Chen
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guobing Chen
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou, 510000, China.
| | - Hou-Zao Chen
- Department of Biochemistryand Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
| | - Jun Chen
- Peking University Research Center on Aging, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Department of Biochemistry and Molecular Biology, Department of Integration of Chinese and Western Medicine, School of Basic Medical Science, Peking University, Beijing, 100191, China.
| | - Weimin Ci
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
| | - Bi-Sen Ding
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Qiurong Ding
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Feng Gao
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Kai Huang
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Zhenyu Ju
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China.
| | - Qing-Peng Kong
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
| | - Jian Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China.
| | - Xin Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Baohua Liu
- School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen, 518060, China.
| | - Feng Liu
- Metabolic Syndrome Research Center, The Second Xiangya Hospital, Central South Unversity, Changsha, 410011, China.
| | - Lin Liu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China.
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin, 300000, China.
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300350, China.
| | - Qiang Liu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China.
| | - Qiang Liu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China.
- Tianjin Institute of Immunology, Tianjin Medical University, Tianjin, 300070, China.
| | - Xingguo Liu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China.
| | - Yong Liu
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China.
| | - Xianghang Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China.
| | - Shuai Ma
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Xinran Ma
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
| | - Zhiyong Mao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Jing Nie
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Yaojin Peng
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jie Ren
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Ruibao Ren
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Center for Aging and Cancer, Hainan Medical University, Haikou, 571199, China.
| | - Moshi Song
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Zhou Songyang
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China.
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Yi Eve Sun
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
| | - Yu Sun
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Department of Medicine and VAPSHCS, University of Washington, Seattle, WA, 98195, USA.
| | - Mei Tian
- Human Phenome Institute, Fudan University, Shanghai, 201203, China.
| | - Shusen Wang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China.
| | - Si Wang
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
| | - Xia Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
| | - Xiaoning Wang
- Institute of Geriatrics, The second Medical Center, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Yan-Jiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
| | - Yunfang Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China.
| | - Catherine C L Wong
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China.
| | - Andy Peng Xiang
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China.
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Yichuan Xiao
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Zhengwei Xie
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China.
- Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals Tech. Co. Ltd., Beijing, 100101, China.
| | - Daichao Xu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China.
| | - Jing Ye
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China.
| | - Rui Yue
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Cuntai Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China.
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Hongbo Zhang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Liang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yong Zhang
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Yun-Wu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
| | - Zhuohua Zhang
- Key Laboratory of Molecular Precision Medicine of Hunan Province and Center for Medical Genetics, Institute of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, 410078, China.
- Department of Neurosciences, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Tongbiao Zhao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Yuzheng Zhao
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China.
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Dahai Zhu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Weiguo Zou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Gang Pei
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Biomedicine, The Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai, 200070, China.
| | - Guang-Hui Liu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
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19
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Karagiannis TT, Dowrey TW, Villacorta-Martin C, Montano M, Reed E, Belkina AC, Andersen SL, Perls TT, Monti S, Murphy GJ, Sebastiani P. Multi-modal profiling of peripheral blood cells across the human lifespan reveals distinct immune cell signatures of aging and longevity. EBioMedicine 2023; 90:104514. [PMID: 37005201 PMCID: PMC10114155 DOI: 10.1016/j.ebiom.2023.104514] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 01/27/2023] [Accepted: 02/22/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND Age-related changes in immune cell composition and functionality are associated with multimorbidity and mortality. However, many centenarians delay the onset of aging-related disease suggesting the presence of elite immunity that remains highly functional at extreme old age. METHODS To identify immune-specific patterns of aging and extreme human longevity, we analyzed novel single cell profiles from the peripheral blood mononuclear cells (PBMCs) of a random sample of 7 centenarians (mean age 106) and publicly available single cell RNA-sequencing (scRNA-seq) datasets that included an additional 7 centenarians as well as 52 people at younger ages (20-89 years). FINDINGS The analysis confirmed known shifts in the ratio of lymphocytes to myeloid cells, and noncytotoxic to cytotoxic cell distributions with aging, but also identified significant shifts from CD4+ T cell to B cell populations in centenarians suggesting a history of exposure to natural and environmental immunogens. We validated several of these findings using flow cytometry analysis of the same samples. Our transcriptional analysis identified cell type signatures specific to exceptional longevity that included genes with age-related changes (e.g., increased expression of STK17A, a gene known to be involved in DNA damage response) as well as genes expressed uniquely in centenarians' PBMCs (e.g., S100A4, part of the S100 protein family studied in age-related disease and connected to longevity and metabolic regulation). INTERPRETATION Collectively, these data suggest that centenarians harbor unique, highly functional immune systems that have successfully adapted to a history of insults allowing for the achievement of exceptional longevity. FUNDING TK, SM, PS, GM, SA, TP are supported by NIH-NIAUH2AG064704 and U19AG023122. MM and PS are supported by NIHNIA Pepper center: P30 AG031679-10. This project is supported by the Flow Cytometry Core Facility at BUSM. FCCF is funded by the NIH Instrumentation grant: S10 OD021587.
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Affiliation(s)
- Tanya T Karagiannis
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.
| | - Todd W Dowrey
- Center for Regenerative Medicine (CReM), Boston University and Boston Medical Center, Boston, MA, USA
| | - Carlos Villacorta-Martin
- Center for Regenerative Medicine (CReM), Boston University and Boston Medical Center, Boston, MA, USA
| | - Monty Montano
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Boston Pepper Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Eric Reed
- Data Intensive Study Center, Tufts University, Boston, MA, USA
| | - Anna C Belkina
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA; Flow Cytometry Core Facility, Boston University School of Medicine, Boston, MA, USA
| | - Stacy L Andersen
- Department of Medicine, Geriatrics Section, Boston University School of Medicine, Boston, MA, USA
| | - Thomas T Perls
- Department of Medicine, Geriatrics Section, Boston University School of Medicine, Boston, MA, USA
| | - Stefano Monti
- Bioinformatics Program, Boston University, Boston, MA, USA; Division of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - George J Murphy
- Center for Regenerative Medicine (CReM), Boston University and Boston Medical Center, Boston, MA, USA; Section of Hematology and Medical Oncology, Boston University School of Medicine, Boston, MA, USA
| | - Paola Sebastiani
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA; Department of Medicine, Tufts University, Boston, MA, USA
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20
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Elenbaas JS, Pudupakkam U, Ashworth KJ, Kang CJ, Patel V, Santana K, Jung IH, Lee PC, Burks KH, Amrute JM, Mecham RP, Halabi CM, Alisio A, Di Paola J, Stitziel NO. SVEP1 is an endogenous ligand for the orphan receptor PEAR1. Nat Commun 2023; 14:850. [PMID: 36792666 PMCID: PMC9932102 DOI: 10.1038/s41467-023-36486-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 01/30/2023] [Indexed: 02/17/2023] Open
Abstract
Sushi, von Willebrand factor type A, EGF and pentraxin domain containing 1 (SVEP1) is an extracellular matrix protein that causally promotes vascular disease and associates with platelet reactivity in humans. Here, using a human genomic and proteomic approach, we identify a high affinity, disease-relevant, and potentially targetable interaction between SVEP1 and the orphan receptor Platelet and Endothelial Aggregation Receptor 1 (PEAR1). This interaction promotes PEAR1 phosphorylation and disease associated AKT/mTOR signaling in vascular cells and platelets. Mice lacking SVEP1 have reduced platelet activation, and exogenous SVEP1 induces PEAR1-dependent activation of platelets. SVEP1 and PEAR1 causally and concordantly relate to platelet phenotypes and cardiovascular disease in humans, as determined by Mendelian Randomization. Targeting this receptor-ligand interaction may be a viable therapeutic strategy to treat or prevent cardiovascular and thrombotic disease.
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Affiliation(s)
- Jared S Elenbaas
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA.
- Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO, 63110, USA.
| | - Upasana Pudupakkam
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Katrina J Ashworth
- Division of Pediatric Hematology Oncology, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - Chul Joo Kang
- McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO, 63108, USA
| | - Ved Patel
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Katherine Santana
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - In-Hyuk Jung
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Paul C Lee
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
- Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Kendall H Burks
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
- Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Junedh M Amrute
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
- Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Robert P Mecham
- Department of Cell Biology and Physiology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Carmen M Halabi
- Department of Cell Biology and Physiology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
- Department of Pediatrics, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Arturo Alisio
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Jorge Di Paola
- Division of Pediatric Hematology Oncology, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - Nathan O Stitziel
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA.
- McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO, 63108, USA.
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO, 63110, USA.
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21
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Frankowska N, Bryl E, Fulop T, Witkowski JM. Longevity, Centenarians and Modified Cellular Proteodynamics. Int J Mol Sci 2023; 24:ijms24032888. [PMID: 36769212 PMCID: PMC9918038 DOI: 10.3390/ijms24032888] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 01/26/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
We have shown before that at least one intracellular proteolytic system seems to be at least as abundant in the peripheral blood lymphocytes of centenarians as in the same cells of young individuals (with the cells of the elderly population showing a significant dip compared to both young and centenarian cohorts). Despite scarce published data, in this review, we tried to answer the question how do different types of cells of longevous people-nonagenarians to (semi)supercentenarians-maintain the quality and quantity of their structural and functional proteins? Specifically, we asked if more robust proteodynamics participate in longevity. We hypothesized that at least some factors controlling the maintenance of cellular proteomes in centenarians will remain at the "young" level (just performing better than in the average elderly). In our quest, we considered multiple aspects of cellular protein maintenance (proteodynamics), including the quality of transcribed DNA, its epigenetic changes, fidelity and quantitative features of transcription of both mRNA and noncoding RNAs, the process of translation, posttranslational modifications leading to maturation and functionalization of nascent proteins, and, finally, multiple facets of the process of elimination of misfolded, aggregated, and otherwise dysfunctional proteins (autophagy). We also included the status of mitochondria, especially production of ATP necessary for protein synthesis and maintenance. We found that with the exception of the latter and of chaperone function, practically all of the considered aspects did show better performance in centenarians than in the average elderly, and most of them approached the levels/activities seen in the cells of young individuals.
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Affiliation(s)
- Natalia Frankowska
- Department of Physiopathology, Medical University of Gdansk, 80-211 Gdansk, Poland
| | - Ewa Bryl
- Department of Pathology and Experimental Rheumatology, Medical University of Gdansk, 80-211 Gdansk, Poland
| | - Tamas Fulop
- Research Center on Aging, Geriatric Division, Department of Medicine, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada
| | - Jacek M. Witkowski
- Department of Physiopathology, Medical University of Gdansk, 80-211 Gdansk, Poland
- Correspondence: ; Tel.: +48-58-349-1510
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22
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Lysophospholipids and branched chain amino acids are associated with aging: a metabolomics-based study of Chinese adults. Eur J Med Res 2023; 28:58. [PMID: 36732870 PMCID: PMC9893616 DOI: 10.1186/s40001-023-01021-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 01/17/2023] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Aging is an inevitable process associated with impairments in multiple organ systems, which increases the risk of comorbidity and disability, and reduces the health-span. Metabolomics is a powerful tool in aging research, which can reflect the characteristics of aging at the level of terminal metabolism, and may contribute to the exploration of aging mechanisms and the formulation of anti-aging strategies. METHODS To identify possible biomarkers and pathways associated with aging using untargeted metabolomics methods, we performed liquid chromatography-mass spectrometry (LC-MS)-based untargeted metabolomics profiling on serum samples from 32 older adults and 32 sex-matched young controls. RESULTS Metabolite profiling could distinguish the two groups. Among the 349 metabolites identified, 80-including lysophospholipids whose levels gradually decline-are possible candidate aging biomarkers. Valine, leucine and isoleucine degradation and biosynthesis were important pathways in aging, with reduced levels of L-isoleucine (r = - 0.30, p = 0.017) and L-leucine (r = - 0.32, p = 0.010) observed in older adults. CONCLUSIONS We preliminarily revealed the metabolite changes associated with aging in Chinese adults. Decreases in mitochondrial membrane-related lysophospholipids and dysfunction of branched-chain amino acid metabolism were determined to be the characteristics and promising research targets for aging.
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23
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López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G. Hallmarks of aging: An expanding universe. Cell 2023; 186:243-278. [PMID: 36599349 DOI: 10.1016/j.cell.2022.11.001] [Citation(s) in RCA: 1060] [Impact Index Per Article: 1060.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 09/19/2022] [Accepted: 11/01/2022] [Indexed: 01/05/2023]
Abstract
Aging is driven by hallmarks fulfilling the following three premises: (1) their age-associated manifestation, (2) the acceleration of aging by experimentally accentuating them, and (3) the opportunity to decelerate, stop, or reverse aging by therapeutic interventions on them. We propose the following twelve hallmarks of aging: genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, disabled macroautophagy, deregulated nutrient-sensing, mitochondrial dysfunction, cellular senescence, stem cell exhaustion, altered intercellular communication, chronic inflammation, and dysbiosis. These hallmarks are interconnected among each other, as well as to the recently proposed hallmarks of health, which include organizational features of spatial compartmentalization, maintenance of homeostasis, and adequate responses to stress.
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Affiliation(s)
- Carlos López-Otín
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain; Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.
| | - Maria A Blasco
- Telomeres and Telomerase Group, Molecular Oncology Program, Spanish National Cancer Centre (CNIO), Madrid, Spain
| | - Linda Partridge
- Department of Genetics, Evolution and Environment, Institute of Healthy Ageing, University College London, London, UK; Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Manuel Serrano
- Institute for Research in Biomedicine (IRB Barcelona), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain; Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain; Altos Labs, Cambridge, UK
| | - Guido Kroemer
- Centre de Recherche des Cordeliers, Equipe labellisée par la Ligue contre le cancer, Université de Paris, Sorbonne Université, INSERM U1138, Institut Universitaire de France, Paris, France; Metabolomics and Cell Biology Platforms, Gustave Roussy, Villejuif, France; Institut du Cancer Paris CARPEM, Department of Biology, Hôpital Européen Georges Pompidou, AP-HP, Paris, France.
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24
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Sutton NR, Malhotra R, Hilaire C, Aikawa E, Blumenthal RS, Gackenbach G, Goyal P, Johnson A, Nigwekar SU, Shanahan CM, Towler DA, Wolford BN, Chen Y. Molecular Mechanisms of Vascular Health: Insights From Vascular Aging and Calcification. Arterioscler Thromb Vasc Biol 2023; 43:15-29. [PMID: 36412195 PMCID: PMC9793888 DOI: 10.1161/atvbaha.122.317332] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 11/11/2022] [Indexed: 11/23/2022]
Abstract
Cardiovascular disease is the most common cause of death worldwide, especially beyond the age of 65 years, with the vast majority of morbidity and mortality due to myocardial infarction and stroke. Vascular pathology stems from a combination of genetic risk, environmental factors, and the biologic changes associated with aging. The pathogenesis underlying the development of vascular aging, and vascular calcification with aging, in particular, is still not fully understood. Accumulating data suggests that genetic risk, likely compounded by epigenetic modifications, environmental factors, including diabetes and chronic kidney disease, and the plasticity of vascular smooth muscle cells to acquire an osteogenic phenotype are major determinants of age-associated vascular calcification. Understanding the molecular mechanisms underlying genetic and modifiable risk factors in regulating age-associated vascular pathology may inspire strategies to promote healthy vascular aging. This article summarizes current knowledge of concepts and mechanisms of age-associated vascular disease, with an emphasis on vascular calcification.
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Affiliation(s)
- Nadia R. Sutton
- Division of Cardiovascular Medicine, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Rajeev Malhotra
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston, MA USA
| | - Cynthia Hilaire
- Division of Cardiology, Departments of Medicine and Bioengineering, Pittsburgh Heart, Lung, and Blood Vascular Medicine Institute, University of Pittsburgh, 1744 BSTWR, 200 Lothrop St, Pittsburgh, PA, 15260 USA
| | - Elena Aikawa
- Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - Roger S. Blumenthal
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease; Baltimore, MD
| | - Grace Gackenbach
- Division of Cardiovascular Medicine, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Parag Goyal
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - Adam Johnson
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston, MA USA
| | - Sagar U. Nigwekar
- Division of Nephrology, Massachusetts General Hospital and Harvard Medical School, Boston, MA USA
| | - Catherine M. Shanahan
- School of Cardiovascular and Metabolic Medicine and Sciences, King’s College London, London, UK
| | - Dwight A. Towler
- Department of Medicine | Endocrine Division and Pak Center for Mineral Metabolism Research, UT Southwestern Medical Center, Dallas, TX USA
| | - Brooke N. Wolford
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Yabing Chen
- Department of Pathology, University of Alabama at Birmingham and Research Department, Veterans Affairs Birmingham Medical Center, Birmingham, AL, USA
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25
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Coenen L, Lehallier B, de Vries HE, Middeldorp J. Markers of aging: Unsupervised integrated analyses of the human plasma proteome. FRONTIERS IN AGING 2023; 4:1112109. [PMID: 36911498 PMCID: PMC9992741 DOI: 10.3389/fragi.2023.1112109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 02/08/2023] [Indexed: 02/24/2023]
Abstract
Aging associates with an increased susceptibility for disease and decreased quality of life. To date, processes underlying aging are still not well understood, leading to limited interventions with unknown mechanisms to promote healthy aging. Previous research suggests that changes in the blood proteome are reflective of age-associated phenotypes such as frailty. Moreover, experimentally induced changes in the blood proteome composition can accelerate or decelerate underlying aging processes. The aim of this study is to identify a set of proteins in the human plasma associated with aging by integration of the data of four independent, large-scaled datasets using the aptamer-based SomaScan platform on the human aging plasma proteome. Using this approach, we identified a set of 273 plasma proteins significantly associated with aging (aging proteins, APs) across these cohorts consisting of healthy individuals and individuals with comorbidities and highlight their biological functions. We validated the age-associated effects in an independent study using a centenarian population, showing highly concordant effects. Our results suggest that APs are more associated to diseases than other plasma proteins. Plasma levels of APs can predict chronological age, and a reduced selection of 15 APs can still predict individuals' age accurately, highlighting their potential as biomarkers of aging processes. Furthermore, we show that individuals presenting accelerated or decelerated aging based on their plasma proteome, respectively have a more aged or younger systemic environment. These results provide novel insights in the understanding of the aging process and its underlying mechanisms and highlight potential modulators contributing to healthy aging.
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Affiliation(s)
- L Coenen
- Department of Neurobiology and Aging, Biomedical Primate Research Centre, Rijswijk, Netherlands.,Department of Molecular Cell Biology and Immunology, Amsterdam Neuroscience, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | | | - H E de Vries
- Department of Molecular Cell Biology and Immunology, Amsterdam Neuroscience, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - J Middeldorp
- Department of Neurobiology and Aging, Biomedical Primate Research Centre, Rijswijk, Netherlands
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26
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Effects of Oleuropein and Hydroxytyrosol on Inflammatory Mediators: Consequences on Inflammaging. Int J Mol Sci 2022; 24:ijms24010380. [PMID: 36613822 PMCID: PMC9820525 DOI: 10.3390/ijms24010380] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/14/2022] [Accepted: 12/21/2022] [Indexed: 12/28/2022] Open
Abstract
Aging is associated with a low-grade, systemic inflammatory state defined as "inflammaging", ruled by the loss of proper regulation of the immune system leading to the accumulation of pro-inflammatory mediators. Such a condition is closely connected to an increased risk of developing chronic diseases. A number of studies demonstrate that olive oil phenolic compound oleuropein and its derivative hydroxytyrosol contribute to modulating tissue inflammation and oxidative stress, thus becoming attractive potential candidates to be used in the context of nutraceutical interventions, in order to ameliorate systemic inflammation in aging subjects. In this review, we aim to summarize the available data about the anti-inflammatory properties of oleuropein and hydroxytyrosol, discussing them in the light of molecular pathways involved in the synthesis and release of inflammatory mediators in inflammaging.
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27
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Bae H, Gurinovich A, Karagiannis TT, Song Z, Leshchyk A, Li M, Andersen SL, Arbeev K, Yashin A, Zmuda J, An P, Feitosa M, Giuliani C, Franceschi C, Garagnani P, Mengel-From J, Atzmon G, Barzilai N, Puca A, Schork NJ, Perls TT, Sebastiani P. A Genome-Wide Association Study of 2304 Extreme Longevity Cases Identifies Novel Longevity Variants. Int J Mol Sci 2022; 24:ijms24010116. [PMID: 36613555 PMCID: PMC9820206 DOI: 10.3390/ijms24010116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/08/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022] Open
Abstract
We performed a genome-wide association study (GWAS) of human extreme longevity (EL), defined as surviving past the 99th survival percentile, by aggregating data from four centenarian studies. The combined data included 2304 EL cases and 5879 controls. The analysis identified a locus in CDKN2B-AS1 (rs6475609, p = 7.13 × 10-8) that almost reached genome-wide significance and four additional loci that were suggestively significant. Among these, a novel rare variant (rs145265196) on chromosome 11 had much higher longevity allele frequencies in cases of Ashkenazi Jewish and Southern Italian ancestry compared to cases of other European ancestries. We also correlated EL-associated SNPs with serum proteins to link our findings to potential biological mechanisms that may be related to EL and are under genetic regulation. The findings from the proteomic analyses suggested that longevity-promoting alleles of significant genetic variants either provided EL cases with more youthful molecular profiles compared to controls or provided some form of protection from other illnesses, such as Alzheimer's disease, and disease progressions.
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Affiliation(s)
- Harold Bae
- Biostatistics Program, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR 97331, USA
- Correspondence:
| | - Anastasia Gurinovich
- Center for Quantitative Methods and Data Science, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA 02111, USA
| | - Tanya T. Karagiannis
- Center for Quantitative Methods and Data Science, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA 02111, USA
| | - Zeyuan Song
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Anastasia Leshchyk
- Division of Computational Biomedicine, Boston University, Boston, MA 02215, USA
| | - Mengze Li
- Division of Computational Biomedicine, Boston University, Boston, MA 02215, USA
| | - Stacy L. Andersen
- Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02215, USA
| | - Konstantin Arbeev
- Social Science Research Institute, Duke University, Durham, NC 27708, USA
| | - Anatoliy Yashin
- Social Science Research Institute, Duke University, Durham, NC 27708, USA
| | - Joseph Zmuda
- School of Public Health, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Ping An
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Mary Feitosa
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Cristina Giuliani
- Department of Biological, Geological and Environmental Sciences, University of Bologna, 40126 Bologna, Italy
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40126 Bologna, Italy
- Department of Applied Mathematics and Laboratory of Systems Medicine of Aging, Lobachevsky University, 603950 Nizhny Novgorod, Russia
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40126 Bologna, Italy
| | - Jonas Mengel-From
- Department of Public Health, University of Southern Denmark, 5230 Odense, Denmark
| | - Gil Atzmon
- Faculty of Natural Sciences, University of Haifa, Haifa 3498838, Israel
- Department of Genetics and Medicine, Albert Einstein College of Medicine, Bronx, NY 10451, USA
| | - Nir Barzilai
- Department of Genetics and Medicine, Albert Einstein College of Medicine, Bronx, NY 10451, USA
| | - Annibale Puca
- Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, 84084 Fisciano, Italy
- Cardiovascular Research Unit, IRCCS MultiMedica, 20099 Milan, Italy
| | - Nicholas J. Schork
- Quantitative Medicine & Systems Biology Division, Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Thomas T. Perls
- Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02215, USA
| | - Paola Sebastiani
- Center for Quantitative Methods and Data Science, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA 02111, USA
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28
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Dong C, Miao Y, Zhao R, Yang M, Guo A, Xue Z, Li T, Zhang Q, Bao Y, Shen C, Sun C, Yang Y, Gu X, Jin Y, Li R, Xu M, Guo J, Zong Z, Zhou W, He M, Wang D, Su J, Zhang X, Zeng X, Gao J, Gu Z. Single-Cell Transcriptomics Reveals Longevity Immune Remodeling Features Shared by Centenarians and Their Offspring. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2204849. [PMID: 36354175 PMCID: PMC9799020 DOI: 10.1002/advs.202204849] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/10/2022] [Indexed: 05/02/2023]
Abstract
Centenarians, who show mild infections and low incidence of tumors, are the optimal model to investigate healthy aging. However, longevity related immune characteristics has not been fully revealed largely due to lack of appropriate controls. In this study, single-cell transcriptomic analysis of peripheral blood mononuclear cells (PBMCs) derived from seven centenarians (CEN), six centenarians' offspring (CO), and nine offspring spouses or neighbors (Control, age-matched to CO) are performed to investigate the shared immune features between CEN and CO. The results indicate that among all 12 T cell clusters, the cytotoxic-phenotype-clusters (CPC) and the naïve-phenotype-clusters (NPC) significantly change between CEN and ontrol. Compared to Control, both CEN and CO are characterized by depleted NPC and increased CPC, which is dominated by CD8+ T cells. Furthermore, CPC from CEN and CO share enhanced signaling pathways and transcriptional factors associated with immune response, and possesse similar T-cell-receptor features, such as high clonal expansion. Interestingly, rather than a significant increase in GZMK+ CD8 cells during aging, centenarians show accumulation of GZMB+ and CMC1+ CD8 T cells. Collectively, this study unveils an immune remodeling pattern reflected by both quantitative increase and functional reinforcement of cytotoxic T cells which are essential for healthy aging.
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Affiliation(s)
- Chen Dong
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Ya‐ru Miao
- Center for Artificial Intelligence BiologyHubei Bioinformatics & Molecular Imaging Key LaboratoryKey Laboratory of Molecular Biophysics of the Ministry of EducationCollege of Life Science and TechnologyHuazhong University of Science and TechnologyWuhan430074China
| | - Rui Zhao
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Mei Yang
- Center for Artificial Intelligence BiologyHubei Bioinformatics & Molecular Imaging Key LaboratoryKey Laboratory of Molecular Biophysics of the Ministry of EducationCollege of Life Science and TechnologyHuazhong University of Science and TechnologyWuhan430074China
| | - An‐yuan Guo
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
- Center for Artificial Intelligence BiologyHubei Bioinformatics & Molecular Imaging Key LaboratoryKey Laboratory of Molecular Biophysics of the Ministry of EducationCollege of Life Science and TechnologyHuazhong University of Science and TechnologyWuhan430074China
| | - Zhong‐hui Xue
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Teng Li
- Key Laboratory of Molecular Virology & ImmunologyInstitut Pasteur of ShanghaiChinese Academy of SciencesShanghai200025China
| | - Qiong Zhang
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Yanfeng Bao
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Chen Shen
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Chi Sun
- Department of GeriatricsAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Ying Yang
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Xi‐xi Gu
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Yi Jin
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Rong Li
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Min Xu
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Jia‐xin Guo
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Zhi‐ying Zong
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Wei Zhou
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Mei He
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Dan‐ni Wang
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Jian‐you Su
- Laboratory CenterAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Xiao‐ming Zhang
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
- Key Laboratory of Molecular Virology & ImmunologyInstitut Pasteur of ShanghaiChinese Academy of SciencesShanghai200025China
| | - Xu‐hui Zeng
- Institute of Reproductive MedicineMedical SchoolNantong UniversityNantong226001China
| | - Jian‐lin Gao
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Zhi‐feng Gu
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
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Zhou Z, Wei J, Kuang L, Zhang K, Liu Y, He Z, Li L, Lu B. Characterization of aging cancer-associated fibroblasts draws implications in prognosis and immunotherapy response in low-grade gliomas. Front Genet 2022; 13:897083. [PMID: 36092895 PMCID: PMC9449154 DOI: 10.3389/fgene.2022.897083] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 07/26/2022] [Indexed: 11/25/2022] Open
Abstract
Background: Due to the highly variable prognosis of low-grade gliomas (LGGs), it is important to find robust biomarkers for predicting clinical outcomes. Aging cancer-associated fibroblasts (CAFs) within the senescent stroma of a tumor microenvironment (TME) have been recently reported to play a key role in tumor development. However, there are few studies focusing on this topic in gliomas. Methods and Results: Based on the transcriptome data from TCGA and CGGA databases, we identified aging CAF-related genes (ACAFRGs) in LGGs by the weighted gene co-expression network analysis (WGCNA) method, followed by which LGG samples were classified into two aging CAF-related gene clusters with distinct prognosis and characteristics of the TME. Machine learning algorithms were used to screen out eight featured ACAFRGs to characterize two aging CAF-related gene clusters, and a nomogram model was constructed to predict the probability of gene cluster A for each LGG sample. Then, a powerful aging CAF scoring system was developed to predict the prognosis and response to immune checkpoint blockage therapy. Finally, the ACAFRGs were verified in two glioma-related external datasets. The performance of the aging CAF score in predicting the immunotherapy response was further validated in two independent cohorts. We also confirmed the expression of ACAFRGs at the protein level in glioma tissues through the Human Protein Atlas website and Western blotting analysis. Conclusion: We developed a robust aging CAF scoring system to predict the prognosis and immunotherapy response in LGGs. Our findings may provide new targets for therapeutics and contribute to the exploration focusing on aging CAFs.
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Affiliation(s)
- Zijian Zhou
- Department of Neurosurgery, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
- *Correspondence: Bin Lu, ; Zijian Zhou,
| | - Jinhong Wei
- School of Basic Medical Sciences, Southwest Medical University, Luzhou, China
| | - Lijun Kuang
- School of Basic Medical Sciences, Southwest Medical University, Luzhou, China
| | - Ke Zhang
- Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Sichuan, China
| | - Yini Liu
- School of Basic Medical Sciences, Southwest Medical University, Luzhou, China
| | - Zhongming He
- School of Basic Medical Sciences, Southwest Medical University, Luzhou, China
| | - Luo Li
- Department of Neurosurgery, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Bin Lu
- Department of Neurosurgery, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
- *Correspondence: Bin Lu, ; Zijian Zhou,
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Dakic T, Jevdjovic T, Vujovic P, Mladenovic A. The Less We Eat, the Longer We Live: Can Caloric Restriction Help Us Become Centenarians? Int J Mol Sci 2022; 23:ijms23126546. [PMID: 35742989 PMCID: PMC9223351 DOI: 10.3390/ijms23126546] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/07/2022] [Accepted: 06/08/2022] [Indexed: 02/04/2023] Open
Abstract
Striving for longevity is neither a recent human desire nor a novel scientific field. The first article on this topic was published in 1838, when the average human life expectancy was approximately 40 years. Although nowadays people on average live almost as twice as long, we still (and perhaps more than ever) look for new ways to extend our lifespan. During this seemingly endless journey of discovering efficient methods to prolong life, humans were enthusiastic regarding several approaches, one of which is caloric restriction (CR). Where does CR, initially considered universally beneficial for extending both lifespan and health span, stand today? Does a lifelong decrease in food consumption represent one of the secrets of centenarians’ long and healthy life? Do we still believe that if we eat less, we will live longer? This review aims to summarize the current literature on CR as a potential life-prolonging intervention in humans and discusses metabolic pathways that underlie this effect.
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Affiliation(s)
- Tamara Dakic
- Department for Comparative Physiology and Ecophysiology, Institute for Physiology and Biochemistry “Ivan Djaja”, Faculty of Biology, University of Belgrade, Studentski trg 16, 11000 Belgrade, Serbia; (T.D.); (T.J.); (P.V.)
| | - Tanja Jevdjovic
- Department for Comparative Physiology and Ecophysiology, Institute for Physiology and Biochemistry “Ivan Djaja”, Faculty of Biology, University of Belgrade, Studentski trg 16, 11000 Belgrade, Serbia; (T.D.); (T.J.); (P.V.)
| | - Predrag Vujovic
- Department for Comparative Physiology and Ecophysiology, Institute for Physiology and Biochemistry “Ivan Djaja”, Faculty of Biology, University of Belgrade, Studentski trg 16, 11000 Belgrade, Serbia; (T.D.); (T.J.); (P.V.)
| | - Aleksandra Mladenovic
- Department of Neurobiology, Institute for Biological Research “Sinisa Stankovic”—National Institute of Republic of Serbia, University of Belgrade, Bul.D. Stefana 142, 11000 Belgrade, Serbia
- Correspondence:
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Tsitsipatis D, Martindale JL, Ubaida‐Mohien C, Lyashkov A, Yanai H, Kashyap A, Shin CH, Herman AB, Ji E, Yang J, Munk R, Dunn C, Lukyanenko Y, Yang X, Chia CW, Karikkineth AC, Zukley L, D’Agostino J, Kaileh M, Cui C, Beerman I, Ferrucci L, Gorospe M. Proteomes of primary skin fibroblasts from healthy individuals reveal altered cell responses across the life span. Aging Cell 2022; 21:e13609. [PMID: 35429111 PMCID: PMC9124301 DOI: 10.1111/acel.13609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 03/24/2022] [Indexed: 02/04/2023] Open
Abstract
Changes in the proteome of different human tissues with advancing age are poorly characterized. Here, we studied the proteins present in primary skin fibroblasts collected from 82 healthy individuals across a wide age spectrum (22-89 years old) who participated in the GESTALT (Genetic and Epigenetic Signatures of Translational Aging Laboratory Testing) study of the National Institute on Aging, NIH. Proteins were extracted from lysed fibroblasts and subjected to liquid chromatography-mass spectrometry analysis, and the expression levels of 9341 proteins were analyzed using linear regression models. We identified key pathways associated with skin fibroblast aging, including autophagy, scavenging of reactive oxygen species (ROS), ribosome biogenesis, DNA replication, and DNA repair. Changes in these prominent pathways were corroborated using molecular and cell culture approaches. Our study establishes a framework of the global proteome governing skin fibroblast aging and points to possible biomarkers and therapeutic targets.
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Affiliation(s)
- Dimitrios Tsitsipatis
- Laboratory of Genetics and GenomicsNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Jennifer L. Martindale
- Laboratory of Genetics and GenomicsNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Ceereena Ubaida‐Mohien
- Translational Gerontology BranchNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Alexey Lyashkov
- Translational Gerontology BranchNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Hagai Yanai
- Translational Gerontology BranchNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Amogh Kashyap
- Translational Gerontology BranchNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Chang Hoon Shin
- Laboratory of Genetics and GenomicsNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Allison B. Herman
- Laboratory of Genetics and GenomicsNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Eunbyul Ji
- Laboratory of Genetics and GenomicsNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Jen‐Hao Yang
- Laboratory of Genetics and GenomicsNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Rachel Munk
- Laboratory of Genetics and GenomicsNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Christopher Dunn
- Laboratory of Molecular Biology and ImmunologyNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Yevgeniya Lukyanenko
- Translational Gerontology BranchNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Xiaoling Yang
- Laboratory of Genetics and GenomicsNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Chee W. Chia
- Clinical Research CoreNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Ajoy C. Karikkineth
- Clinical Research CoreNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Linda Zukley
- Clinical Research CoreNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Jarod D’Agostino
- Clinical Research CoreNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Mary Kaileh
- Laboratory of Molecular Biology and ImmunologyNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Chang‐Yi Cui
- Laboratory of Genetics and GenomicsNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Isabel Beerman
- Translational Gerontology BranchNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Luigi Ferrucci
- Translational Gerontology BranchNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
| | - Myriam Gorospe
- Laboratory of Genetics and GenomicsNational Institute on AgingNational Institutes of Health Intramural Research ProgramBaltimoreMarylandUSA
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Vijayakumar KA, Cho GW. Pan-tissue methylation aging clock: Recalibrated and a method to analyze and interpret the selected features. Mech Ageing Dev 2022; 204:111676. [PMID: 35489615 DOI: 10.1016/j.mad.2022.111676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 03/29/2022] [Accepted: 04/23/2022] [Indexed: 11/29/2022]
Abstract
The abundance of the biological data and the rapid evolution of the newer machine learning technologies have increased the epigenetics research in the last decade. This has enhanced the ability to measure the biological age of humans and different organisms via their omics data. DNA methylation array data are commonly used in the prediction of methylation age. Horvath clock has been adopted in various aging studies as a DNA methylation age predicting clock due to its higher accuracy and multi tissue prediction potential. In the current study, we have developed a pan tissue methylation-aging clock by using the publicly available illumina 450k and EPIC array methylation datasets. In doing that, we developed a highly accurate epigenetic clock, which predicts the age of multiple tissues with higher accuracy. We have also analyzed the selected probes for their biological relevance. Upon analyzing the selected features further, we found out evidences, which support the Antagonistic pleiotropy theory of aging.
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Affiliation(s)
- Karthikeyan A Vijayakumar
- Department of Biology, College of Natural Science, Chosun University, Gwangju 501-759, South Korea; BK21 FOUR Education Research Group for Age-Associated Disorder Control Technology, Department of Integrative Biological Science, Chosun University, Gwangju 501-759, South Korea
| | - Gwang-Won Cho
- Department of Biology, College of Natural Science, Chosun University, Gwangju 501-759, South Korea; BK21 FOUR Education Research Group for Age-Associated Disorder Control Technology, Department of Integrative Biological Science, Chosun University, Gwangju 501-759, South Korea.
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Arosio B, Geraci A, Ferri E, Mari D, Cesari M. Biological Frailty Index in centenarians. Aging Clin Exp Res 2022; 34:687-690. [PMID: 34655428 PMCID: PMC8894165 DOI: 10.1007/s40520-021-01993-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 09/28/2021] [Indexed: 11/29/2022]
Abstract
This study measured the subclinical frailty of centenarians by looking at the accumulation of their biological abnormalities. For this aim, a biological Frailty Index (FI) was computed in centenarians living in Northern Italy. The median value of the biological FI was 0.33 (interquartile range, IQR 0.28–0.41). The biological FI did not significantly differ between women (0.34, IQR 0.31–0.39) and men (0.32, IQR 0.26–0.43). The biological FI seems to have a narrower distribution compared to clinical FI we previously computed in the same cohort. In conclusion, our study suggests that centenarians benefit from exceptional biological reserves that might be underestimated by clinical appearances.
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Affiliation(s)
- Beatrice Arosio
- Laboratorio di Geriatria, Department of Clinical Sciences and Community Health, University of Milan, Via Pace 9, 20122, Milan, Italy.
| | - Annalisa Geraci
- Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Pace 9, 20122, Milan, Italy
| | - Evelyn Ferri
- Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Pace 9, 20122, Milan, Italy
| | - Daniela Mari
- Laboratorio Sperimentale di Ricerche di Neuroendocrinologia Geriatrica ed Oncologica, Istituto Auxologico Italiano, IRCCS, Via Zucchi 18, 20095, Cusano Milanino, Italy
| | - Matteo Cesari
- Laboratorio di Geriatria, Department of Clinical Sciences and Community Health, University of Milan, Via Pace 9, 20122, Milan, Italy
- Geriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, Via Camaldoli 64, 20138, Milan, Italy
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Kim J, Bai H. Peroxisomal Stress Response and Inter-Organelle Communication in Cellular Homeostasis and Aging. Antioxidants (Basel) 2022; 11:192. [PMID: 35204075 PMCID: PMC8868334 DOI: 10.3390/antiox11020192] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 01/15/2022] [Accepted: 01/16/2022] [Indexed: 12/20/2022] Open
Abstract
Peroxisomes are key regulators of cellular and metabolic homeostasis. These organelles play important roles in redox metabolism, the oxidation of very-long-chain fatty acids (VLCFAs), and the biosynthesis of ether phospholipids. Given the essential role of peroxisomes in cellular homeostasis, peroxisomal dysfunction has been linked to various pathological conditions, tissue functional decline, and aging. In the past few decades, a variety of cellular signaling and metabolic changes have been reported to be associated with defective peroxisomes, suggesting that many cellular processes and functions depend on peroxisomes. Peroxisomes communicate with other subcellular organelles, such as the nucleus, mitochondria, endoplasmic reticulum (ER), and lysosomes. These inter-organelle communications are highly linked to the key mechanisms by which cells surveil defective peroxisomes and mount adaptive responses to protect them from damages. In this review, we highlight the major cellular changes that accompany peroxisomal dysfunction and peroxisomal inter-organelle communication through membrane contact sites, metabolic signaling, and retrograde signaling. We also discuss the age-related decline of peroxisomal protein import and its role in animal aging and age-related diseases. Unlike other organelle stress response pathways, such as the unfolded protein response (UPR) in the ER and mitochondria, the cellular signaling pathways that mediate stress responses to malfunctioning peroxisomes have not been systematically studied and investigated. Here, we coin these signaling pathways as "peroxisomal stress response pathways". Understanding peroxisomal stress response pathways and how peroxisomes communicate with other organelles are important and emerging areas of peroxisome research.
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Affiliation(s)
- Jinoh Kim
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA 50011, USA
| | - Hua Bai
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA 50011, USA
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35
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Wu L, Xie X, Liang T, Ma J, Yang L, Yang J, Li L, Xi Y, Li H, Zhang J, Chen X, Ding Y, Wu Q. Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets. Biomolecules 2021; 12:39. [PMID: 35053186 PMCID: PMC8773837 DOI: 10.3390/biom12010039] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 12/17/2021] [Accepted: 12/19/2021] [Indexed: 12/12/2022] Open
Abstract
Aging is closely related to the occurrence of human diseases; however, its exact biological mechanism is unclear. Advancements in high-throughput technology provide new opportunities for omics research to understand the pathological process of various complex human diseases. However, single-omics technologies only provide limited insights into the biological mechanisms of diseases. DNA, RNA, protein, metabolites, and microorganisms usually play complementary roles and perform certain biological functions together. In this review, we summarize multi-omics methods based on the most relevant biomarkers in single-omics to better understand molecular functions and disease causes. The integration of multi-omics technologies can systematically reveal the interactions among aging molecules from a multidimensional perspective. Our review provides new insights regarding the discovery of aging biomarkers, mechanism of aging, and identification of novel antiaging targets. Overall, data from genomics, transcriptomics, proteomics, metabolomics, integromics, microbiomics, and systems biology contribute to the identification of new candidate biomarkers for aging and novel targets for antiaging interventions.
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Affiliation(s)
- Lei Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Xinqiang Xie
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Tingting Liang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Jun Ma
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Lingshuang Yang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Juan Yang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Longyan Li
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Yu Xi
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Haixin Li
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Jumei Zhang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Xuefeng Chen
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Yu Ding
- Department of Food Science and Technology, Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, China
| | - Qingping Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
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Deutsch EW, Omenn GS, Sun Z, Maes M, Pernemalm M, Palaniappan KK, Letunica N, Vandenbrouck Y, Brun V, Tao SC, Yu X, Geyer PE, Ignjatovic V, Moritz RL, Schwenk JM. Advances and Utility of the Human Plasma Proteome. J Proteome Res 2021; 20:5241-5263. [PMID: 34672606 PMCID: PMC9469506 DOI: 10.1021/acs.jproteome.1c00657] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
The study of proteins circulating in blood offers tremendous opportunities to diagnose, stratify, or possibly prevent diseases. With recent technological advances and the urgent need to understand the effects of COVID-19, the proteomic analysis of blood-derived serum and plasma has become even more important for studying human biology and pathophysiology. Here we provide views and perspectives about technological developments and possible clinical applications that use mass-spectrometry(MS)- or affinity-based methods. We discuss examples where plasma proteomics contributed valuable insights into SARS-CoV-2 infections, aging, and hemostasis and the opportunities offered by combining proteomics with genetic data. As a contribution to the Human Proteome Organization (HUPO) Human Plasma Proteome Project (HPPP), we present the Human Plasma PeptideAtlas build 2021-07 that comprises 4395 canonical and 1482 additional nonredundant human proteins detected in 240 MS-based experiments. In addition, we report the new Human Extracellular Vesicle PeptideAtlas 2021-06, which comprises five studies and 2757 canonical proteins detected in extracellular vesicles circulating in blood, of which 74% (2047) are in common with the plasma PeptideAtlas. Our overview summarizes the recent advances, impactful applications, and ongoing challenges for translating plasma proteomics into utility for precision medicine.
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Affiliation(s)
- Eric W Deutsch
- Institute for Systems Biology, Seattle, Washington 98109, United States
| | - Gilbert S Omenn
- Institute for Systems Biology, Seattle, Washington 98109, United States.,Departments of Computational Medicine & Bioinformatics, Internal Medicine, and Human Genetics and School of Public Health, University of Michigan, Ann Arbor, Michigan 48109-2218, United States
| | - Zhi Sun
- Institute for Systems Biology, Seattle, Washington 98109, United States
| | - Michal Maes
- Institute for Systems Biology, Seattle, Washington 98109, United States
| | - Maria Pernemalm
- Department of Oncology and Pathology/Science for Life Laboratory, Karolinska Institutet, 171 65 Stockholm, Sweden
| | | | - Natasha Letunica
- Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia
| | - Yves Vandenbrouck
- Université Grenoble Alpes, CEA, Inserm U1292, Grenoble 38000, France
| | - Virginie Brun
- Université Grenoble Alpes, CEA, Inserm U1292, Grenoble 38000, France
| | - Sheng-Ce Tao
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, B207 SCSB Building, 800 Dongchuan Road, Shanghai 200240, China
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Philipp E Geyer
- OmicEra Diagnostics GmbH, Behringstr. 6, 82152 Planegg, Germany
| | - Vera Ignjatovic
- Murdoch Children's Research Institute, 50 Flemington Road, Parkville 3052, Victoria, Australia.,Department of Paediatrics, The University of Melbourne, 50 Flemington Road, Parkville 3052, Victoria, Australia
| | - Robert L Moritz
- Institute for Systems Biology, Seattle, Washington 98109, United States
| | - Jochen M Schwenk
- Affinity Proteomics, Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Tomtebodavägen 23, SE-171 65 Solna, Sweden
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Marcos-Pérez D, Saenz-Antoñanzas A, Matheu A. Centenarians as models of healthy aging: Example of REST. Ageing Res Rev 2021; 70:101392. [PMID: 34139339 DOI: 10.1016/j.arr.2021.101392] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 06/08/2021] [Accepted: 06/10/2021] [Indexed: 01/03/2023]
Abstract
Centenarians are a group of individuals exhibiting extreme longevity, who are characterized by a remarkable compression of morbidity. Therefore, centenarians have been postulated as a model of healthy aging. Different approaches have been used to decipher the biology and genetics of centenarians in order to identify key anti-aging pathways. The majority of studies have taken advantage of blood samples to perform their analysis. Besides, a recent study in human brain samples deciphered the transcription factor REST (Repressor Element-1 Silencing Transcription Factor) as an important player of extreme longevity and cognitive activity. This study goes from human to animal models and revealed that REST acts as an epigenetic regulator of neuronal homeostasis, to control aging and longevity. The aim of this view point is to summarize recent literature describing genetic and epigenetic factors, as well as molecular pathways associated with centenarians and the biology of aging. We will pay particular attention to the impact of REST in centenarians and longevity.
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Affiliation(s)
- Diego Marcos-Pérez
- Biodonostia Health Research Institute, Group of Cellular Oncology, San Sebastián, Spain
| | | | - Ander Matheu
- Biodonostia Health Research Institute, Group of Cellular Oncology, San Sebastián, Spain; CIBER of Frailty and Healthy Aging (CIBERfes), Carlos III Institute, Madrid, Spain; IKERBASQUE, Basque Foundation for Science, Bilbao, Spain.
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Song Y, Liu M, Jia WP, Han K, Wang SS, He Y. The association between nutritional status and functional limitations among centenarians: a cross-sectional study. BMC Geriatr 2021; 21:376. [PMID: 34154543 PMCID: PMC8218470 DOI: 10.1186/s12877-021-02312-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 06/02/2021] [Indexed: 11/25/2022] Open
Abstract
Background Although there have been studies on the association between nutritional status and functional limitations, there were few studies on Asian centenarians in community. Therefore, this study aims to identify associations between nutritional status and functional limitations among centenarians in China. Methods This cross-sectional study was conducted with the data from the China Hainan Centenarian Cohort Study. These data ultimately included basic characteristics, hematologic indicators, and chronic disease status for 1,002 centenarians. The nutritional status was evaluated using the Mini Nutritional Assessment Short-Form scale. The functional limitations were assessed using the activities of daily living (ADL) scale, namely Barthel Index and Lawton Scale. The association between nutritional status and ADL was assessed using multivariate logistic regression models. Results In this study, the prevalence of malnutrition was 20.8 % among centenarians, basic ADL (BADL) limitation was 28.6 %, and instrumental ADL (IADL) limitation was 64.7 %. As the nutritional status deteriorated, the risk of ADL limitations increased in total population (BADL limitation: OR = 17.060, 95 % CI: 8.093-35.964; IADL limitation: OR = 11.221, 95 % CI: 5.853-21.511; p for trend < 0.001). Similar results were found in both men and women after stratifying sex but were more prominent in women. Conclusions Malnutrition is associated with functional limitations among centenarians in China and more pronounced among women.
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Affiliation(s)
- Yang Song
- Institute of geriatrics, the 2nd Medical Center, State Key Laboratory of Kidney Disease, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Chinese PLA General Hospital, 28 Fuxing Road, 100853, Beijing, China.,Graduate school of Chinese PLA General Hospital, 28 Fuxing Road, 100853, Beijing, China
| | - Miao Liu
- Graduate school of Chinese PLA General Hospital, 28 Fuxing Road, 100853, Beijing, China
| | - Wang-Ping Jia
- Institute of geriatrics, the 2nd Medical Center, State Key Laboratory of Kidney Disease, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Chinese PLA General Hospital, 28 Fuxing Road, 100853, Beijing, China.,Graduate school of Chinese PLA General Hospital, 28 Fuxing Road, 100853, Beijing, China
| | - Ke Han
- Institute of geriatrics, the 2nd Medical Center, State Key Laboratory of Kidney Disease, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Chinese PLA General Hospital, 28 Fuxing Road, 100853, Beijing, China.,Graduate school of Chinese PLA General Hospital, 28 Fuxing Road, 100853, Beijing, China
| | - Sheng-Shu Wang
- Institute of geriatrics, the 2nd Medical Center, State Key Laboratory of Kidney Disease, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Chinese PLA General Hospital, 28 Fuxing Road, 100853, Beijing, China
| | - Yao He
- Institute of geriatrics, the 2nd Medical Center, State Key Laboratory of Kidney Disease, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Chinese PLA General Hospital, 28 Fuxing Road, 100853, Beijing, China.
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Hartmann A, Hartmann C, Secci R, Hermann A, Fuellen G, Walter M. Ranking Biomarkers of Aging by Citation Profiling and Effort Scoring. Front Genet 2021; 12:686320. [PMID: 34093670 PMCID: PMC8176216 DOI: 10.3389/fgene.2021.686320] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 04/23/2021] [Indexed: 01/10/2023] Open
Abstract
Aging affects most living organisms and includes the processes that reduce health and survival. The chronological and the biological age of individuals can differ remarkably, and there is a lack of reliable biomarkers to monitor the consequences of aging. In this review we give an overview of commonly mentioned and frequently used potential aging-related biomarkers. We were interested in biomarkers of aging in general and in biomarkers related to cellular senescence in particular. To answer the question whether a biological feature is relevant as a potential biomarker of aging or senescence in the scientific community we used the PICO strategy known from evidence-based medicine. We introduced two scoring systems, aimed at reflecting biomarker relevance and measurement effort, which can be used to support study designs in both clinical and research settings.
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Affiliation(s)
- Alexander Hartmann
- Institute of Clinical Chemistry and Laboratory Medicine, Rostock University Medical Center, Rostock, Germany
| | - Christiane Hartmann
- Translational Neurodegeneration Section “Albrecht-Kossel”, Department of Neurology, Rostock University Medical Center, Rostock, Germany
- German Center for Neurodegenerative Diseases (DZNE) Rostock/Greifswald, Rostock, Germany
| | - Riccardo Secci
- Institute for Biostatistics and Informatics in Medicine and Aging Research, Rostock University Medical Center, Rostock, Germany
| | - Andreas Hermann
- Translational Neurodegeneration Section “Albrecht-Kossel”, Department of Neurology, Rostock University Medical Center, Rostock, Germany
- German Center for Neurodegenerative Diseases (DZNE) Rostock/Greifswald, Rostock, Germany
| | - Georg Fuellen
- Institute for Biostatistics and Informatics in Medicine and Aging Research, Rostock University Medical Center, Rostock, Germany
| | - Michael Walter
- Institute of Clinical Chemistry and Laboratory Medicine, Rostock University Medical Center, Rostock, Germany
- Institute of Laboratory Medicine, Clinical Chemistry and Pathobiochemistry, Charité –Berlin Institute of Health, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
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Effect of longevity genetic variants on the molecular aging rate. GeroScience 2021; 43:1237-1251. [PMID: 33948810 DOI: 10.1007/s11357-021-00376-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 04/20/2021] [Indexed: 12/18/2022] Open
Abstract
We conducted a genome-wide association study of 1320 centenarians from the New England Centenarian Study (median age = 104 years) and 2899 unrelated controls using >9 M genetic variants imputed to the HRC panel of ~65,000 haplotypes. The genetic variants with the most significant associations were correlated to 4131 proteins that were profiled in the serum of a subset of 224 study participants using a SOMAscan array. The genetic associations were replicated in a genome-wide association study of 480 centenarians and ~800 controls of Ashkenazi Jewish descent. The proteomic associations were replicated in a proteomic scan of approximately 1000 Ashkenazi Jewish participants from a third cohort. The analysis replicated a protein signature associated with APOE genotypes and confirmed strong overexpression of BIRC2 (p < 5E-16) and under-expression of APOB in carriers of the APOE2 allele (p < 0.05). The analysis also discovered and replicated associations between longevity variants and slower changes of protein biomarkers of aging, including a novel protein signature of rs2184061 (CDKN2A/CDKN2B in chromosome 9) that suggests a genetic regulation of GDF15. The analyses showed that longevity variants correlate with proteome signatures that could be manipulated to discover healthy-aging targets.
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