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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Gurinovich A, Song Z, Zhang W, Federico A, Monti S, Andersen SL, Jennings LL, Glass DJ, Barzilai N, Millman S, Perls TT, Sebastiani P. Effect of longevity genetic variants on the molecular aging rate. GeroScience 2021; 43:1237-51. [PMID: 33948810 DOI: 10.1007/s11357-021-00376-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [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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