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Wu Y, Zhang Z, Chen L, Sun S. Immunoglobulin G glycosylation and its alterations in aging-related diseases. Acta Biochim Biophys Sin (Shanghai) 2024. [PMID: 39126246 DOI: 10.3724/abbs.2024137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/12/2024] Open
Abstract
Immunoglobulin G (IgG) is an important serum glycoprotein and a major component of antibodies. Glycans on IgG affect the binding of IgG to the Fc receptor or complement C1q, which in turn affects the biological activity and biological function of IgG. Altered glycosylation patterns on IgG emerge as important biomarkers in the aging process and age-related diseases. Key aging-related alterations observed in IgG glycosylation include reductions in galactosylation and sialylation, alongside increases in agalactosylation, and bisecting GlcNAc. Understanding the role of IgG glycosylation in aging-related diseases offers insights into disease mechanisms and provides opportunities for the development of diagnostic and therapeutic strategies. This review summarizes five aspects of IgG: an overview of IgG, IgG glycosylation, IgG glycosylation with inflammation mediation, IgG glycan changes with normal aging, as well as the relevance of IgG glycan changes to aging-related diseases. This review provides a reference for further investigation of the regulatory mechanisms of IgG glycosylation in aging-related diseases, as well as for evaluating the potential of IgG glycosylation changes as markers of aging and aging-related diseases.
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Qiao X, Straight B, Ngo D, Hilton CE, Owuor Olungah C, Naugle A, Lalancette C, Needham BL. Severe drought exposure in utero associates to children's epigenetic age acceleration in a global climate change hot spot. Nat Commun 2024; 15:4140. [PMID: 38755138 PMCID: PMC11099019 DOI: 10.1038/s41467-024-48426-7] [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: 12/17/2023] [Accepted: 04/29/2024] [Indexed: 05/18/2024] Open
Abstract
The goal of this study is to examine the association between in utero drought exposure and epigenetic age acceleration (EAA) in a global climate change hot spot. Calculations of EAA in adults using DNA methylation have been found to accurately predict chronic disease and longevity. However, fewer studies have examined EAA in children, and drought exposure in utero has not been investigated. Additionally, studies of EAA in low-income countries with diverse populations are rare. We assess EAA using epigenetic clocks and two DNAm-based pace-of-aging measurements from whole saliva samples in 104 drought-exposed children and 109 same-sex sibling controls in northern Kenya. We find a positive association between in utero drought exposure and EAA in two epigenetic clocks (Hannum's and GrimAge) and a negative association in the DNAm based telomere length (DNAmTL) clock. The combined impact of drought's multiple deleterious stressors may reduce overall life expectancy through accelerated epigenetic aging.
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Affiliation(s)
- Xi Qiao
- Department of Statistics, Western Michigan University, Kalamazoo, MI, USA
| | - Bilinda Straight
- School of Environment, Geography, & Sustainability, Western Michigan University, Kalamazoo, MI, USA.
| | - Duy Ngo
- Department of Statistics, Western Michigan University, Kalamazoo, MI, USA
| | - Charles E Hilton
- Department of Anthropology, University of North Carolina - Chapel Hill, Chapel Hill, NC, USA
| | - Charles Owuor Olungah
- Department of Anthropology, Gender and African Studies, University of Nairobi, Nairobi, Kenya
| | - Amy Naugle
- Department of Psychology, Western Michigan University, Kalamazoo, MI, USA
| | | | - Belinda L Needham
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
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Marcante B, Delicati A, Onofri M, Tozzo P, Caenazzo L. Estimation of Human Chronological Age from Buccal Swab Samples through a DNA Methylation Analysis Approach of a Five-Locus Multiple Regression Model. Int J Mol Sci 2024; 25:935. [PMID: 38256009 PMCID: PMC10815300 DOI: 10.3390/ijms25020935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/05/2024] [Accepted: 01/10/2024] [Indexed: 01/24/2024] Open
Abstract
Recent advancements in forensic genetics have facilitated the extraction of additional characteristics from unidentified samples. This study delves into the predictive potential of a five-gene (ELOVL2, FHL2, KLF14, C1orf132, and TRIM59) methylation rate analysis for human age estimation using buccal swabs collected from 60 Italian volunteers. The methylation levels of specific CpG sites in the five genes were analyzed through bisulfite conversion, single-base extension, and capillary electrophoresis. A multivariate linear regression model was crafted on the training set, then the test set was employed to validate the predictive model. The multivariate predictive model revealed a mean absolute deviation of 3.49 years in the test set of our sample. While limitations include a modest sample size, the study provides valuable insights into the potential of buccal swab-based age prediction, aiding in criminal investigations where accurate age determination is crucial. Our results also highlight that it is necessary to investigate the effectiveness of predictive models specific to biological tissues and individual populations, since models already proven effective for other populations or different tissues did not show the same effectiveness in our study.
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Affiliation(s)
- Beatrice Marcante
- Legal Medicine Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35122 Padova, Italy; (B.M.); (A.D.); (P.T.)
| | - Arianna Delicati
- Legal Medicine Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35122 Padova, Italy; (B.M.); (A.D.); (P.T.)
| | - Martina Onofri
- Section of Legal Medicine, Department of Medicine and Surgery, Santa Maria Hospital, University of Perugia, 05100 Terni, Italy;
| | - Pamela Tozzo
- Legal Medicine Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35122 Padova, Italy; (B.M.); (A.D.); (P.T.)
| | - Luciana Caenazzo
- Legal Medicine Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35122 Padova, Italy; (B.M.); (A.D.); (P.T.)
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Baechle JJ, Chen N, Makhijani P, Winer S, Furman D, Winer DA. Chronic inflammation and the hallmarks of aging. Mol Metab 2023; 74:101755. [PMID: 37329949 PMCID: PMC10359950 DOI: 10.1016/j.molmet.2023.101755] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/30/2023] [Accepted: 06/13/2023] [Indexed: 06/19/2023] Open
Abstract
BACKGROUND Recently, the hallmarks of aging were updated to include dysbiosis, disabled macroautophagy, and chronic inflammation. In particular, the low-grade chronic inflammation during aging, without overt infection, is defined as "inflammaging," which is associated with increased morbidity and mortality in the aging population. Emerging evidence suggests a bidirectional and cyclical relationship between chronic inflammation and the development of age-related conditions, such as cardiovascular diseases, neurodegeneration, cancer, and frailty. How the crosstalk between chronic inflammation and other hallmarks of aging underlies biological mechanisms of aging and age-related disease is thus of particular interest to the current geroscience research. SCOPE OF REVIEW This review integrates the cellular and molecular mechanisms of age-associated chronic inflammation with the other eleven hallmarks of aging. Extra discussion is dedicated to the hallmark of "altered nutrient sensing," given the scope of Molecular Metabolism. The deregulation of hallmark processes during aging disrupts the delicate balance between pro-inflammatory and anti-inflammatory signaling, leading to a persistent inflammatory state. The resultant chronic inflammation, in turn, further aggravates the dysfunction of each hallmark, thereby driving the progression of aging and age-related diseases. MAIN CONCLUSIONS The crosstalk between chronic inflammation and other hallmarks of aging results in a vicious cycle that exacerbates the decline in cellular functions and promotes aging. Understanding this complex interplay will provide new insights into the mechanisms of aging and the development of potential anti-aging interventions. Given their interconnectedness and ability to accentuate the primary elements of aging, drivers of chronic inflammation may be an ideal target with high translational potential to address the pathological conditions associated with aging.
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Affiliation(s)
- Jordan J Baechle
- Buck Artificial Intelligence Platform, the Buck Institute for Research on Aging, Novato, CA, USA
| | - Nan Chen
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada; Division of Cellular & Molecular Biology, Diabetes Research Group, Toronto General Hospital Research Institute (TGHRI), University Health Network, Toronto, ON, Canada
| | - Priya Makhijani
- Buck Artificial Intelligence Platform, the Buck Institute for Research on Aging, Novato, CA, USA; Department of Immunology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Shawn Winer
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - David Furman
- Buck Artificial Intelligence Platform, the Buck Institute for Research on Aging, Novato, CA, USA; Stanford 1000 Immunomes Project, Stanford University School of Medicine, Stanford, CA, USA; Instituto de Investigaciones en Medicina Traslacional (IIMT), Universidad Austral, CONICET, Pilar, Argentina.
| | - Daniel A Winer
- Buck Artificial Intelligence Platform, the Buck Institute for Research on Aging, Novato, CA, USA; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada; Department of Immunology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Division of Cellular & Molecular Biology, Diabetes Research Group, Toronto General Hospital Research Institute (TGHRI), University Health Network, Toronto, ON, Canada; Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
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