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Zhang Z, Reynolds SR, Stolrow HG, Chen JQ, Christensen BC, Salas LA. Deciphering the role of immune cell composition in epigenetic age acceleration: Insights from cell-type deconvolution applied to human blood epigenetic clocks. Aging Cell 2024; 23:e14071. [PMID: 38146185 DOI: 10.1111/acel.14071] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 08/17/2023] [Revised: 12/04/2023] [Accepted: 12/05/2023] [Indexed: 12/27/2023] Open
Abstract
Aging is a significant risk factor for various human disorders, and DNA methylation clocks have emerged as powerful tools for estimating biological age and predicting health-related outcomes. Methylation data from blood DNA has been a focus of more recently developed DNA methylation clocks. However, the impact of immune cell composition on epigenetic age acceleration (EAA) remains unclear as only some clocks incorporate partial cell type composition information when analyzing EAA. We investigated associations of 12 immune cell types measured by cell-type deconvolution with EAA predicted by six widely-used DNA methylation clocks in data from >10,000 blood samples. We observed significant associations of immune cell composition with EAA for all six clocks tested. Across the clocks, nine or more of the 12 cell types tested exhibited significant associations with EAA. Higher memory lymphocyte subtype proportions were associated with increased EAA, and naïve lymphocyte subtypes were associated with decreased EAA. To demonstrate the potential confounding of EAA by immune cell composition, we applied EAA in rheumatoid arthritis. Our research maps immune cell type contributions to EAA in human blood and offers opportunities to adjust for immune cell composition in EAA studies to a significantly more granular level. Understanding associations of EAA with immune profiles has implications for the interpretation of epigenetic age and its relevance in aging and disease research. Our detailed map of immune cell type contributions serves as a resource for studies utilizing epigenetic clocks across diverse research fields, including aging-related diseases, precision medicine, and therapeutic interventions.
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Affiliation(s)
- Ze Zhang
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA
- Dartmouth Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
- Quantitative Biomedical Sciences Program, Guarini School of Graduate and Advanced Studies, Hanover, New Hampshire, USA
| | - Samuel R Reynolds
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA
| | - Hannah G Stolrow
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA
- Dartmouth Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Ji-Qing Chen
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA
- Molecular and Cellular Biology Program, Guarini School of Graduate and Advanced Studies, Hanover, New Hampshire, USA
| | - Brock C Christensen
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA
- Dartmouth Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
- Quantitative Biomedical Sciences Program, Guarini School of Graduate and Advanced Studies, Hanover, New Hampshire, USA
- Molecular and Cellular Biology Program, Guarini School of Graduate and Advanced Studies, Hanover, New Hampshire, USA
| | - Lucas A Salas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA
- Dartmouth Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
- Quantitative Biomedical Sciences Program, Guarini School of Graduate and Advanced Studies, Hanover, New Hampshire, USA
- Molecular and Cellular Biology Program, Guarini School of Graduate and Advanced Studies, Hanover, New Hampshire, USA
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Mouat JS, Li S, Myint SS, Laufer BI, Lupo PJ, Schraw JM, Woodhouse JP, de Smith AJ, LaSalle JM. Epigenomic signature of major congenital heart defects in newborns with Down syndrome. Hum Genomics 2023; 17:92. [PMID: 37803336 PMCID: PMC10559462 DOI: 10.1186/s40246-023-00540-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 05/17/2023] [Accepted: 10/02/2023] [Indexed: 10/08/2023] Open
Abstract
BACKGROUND Congenital heart defects (CHDs) affect approximately half of individuals with Down syndrome (DS), but the molecular reasons for incomplete penetrance are unknown. Previous studies have largely focused on identifying genetic risk factors associated with CHDs in individuals with DS, but comprehensive studies of the contribution of epigenetic marks are lacking. We aimed to identify and characterize DNA methylation differences from newborn dried blood spots (NDBS) of DS individuals with major CHDs compared to DS individuals without CHDs. METHODS We used the Illumina EPIC array and whole-genome bisulfite sequencing (WGBS) to quantitate DNA methylation for 86 NDBS samples from the California Biobank Program: (1) 45 DS-CHD (27 female, 18 male) and (2) 41 DS non-CHD (27 female, 14 male). We analyzed global CpG methylation and identified differentially methylated regions (DMRs) in DS-CHD versus DS non-CHD comparisons (both sex-combined and sex-stratified) corrected for sex, age of blood collection, and cell-type proportions. CHD DMRs were analyzed for enrichment in CpG and genic contexts, chromatin states, and histone modifications by genomic coordinates and for gene ontology enrichment by gene mapping. DMRs were also tested in a replication dataset and compared to methylation levels in DS versus typical development (TD) WGBS NDBS samples. RESULTS We found global CpG hypomethylation in DS-CHD males compared to DS non-CHD males, which was attributable to elevated levels of nucleated red blood cells and not seen in females. At a regional level, we identified 58, 341, and 3938 CHD-associated DMRs in the Sex Combined, Females Only, and Males Only groups, respectively, and used machine learning algorithms to select 19 Males Only loci that could distinguish CHD from non-CHD. DMRs in all comparisons were enriched for gene exons, CpG islands, and bivalent chromatin and mapped to genes enriched for terms related to cardiac and immune functions. Lastly, a greater percentage of CHD-associated DMRs than background regions were differentially methylated in DS versus TD samples. CONCLUSIONS A sex-specific signature of DNA methylation was detected in NDBS of DS-CHD compared to DS non-CHD individuals. This supports the hypothesis that epigenetics can reflect the variability of phenotypes in DS, particularly CHDs.
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Affiliation(s)
- Julia S Mouat
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, CA, USA
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA
- Genome Center, University of California, Davis, CA, USA
- MIND Institute, University of California, Davis, CA, USA
| | - Shaobo Li
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Swe Swe Myint
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Benjamin I Laufer
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, CA, USA
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA
- Genome Center, University of California, Davis, CA, USA
- MIND Institute, University of California, Davis, CA, USA
| | - Philip J Lupo
- Division of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Jeremy M Schraw
- Division of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - John P Woodhouse
- Division of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Adam J de Smith
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Janine M LaSalle
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, CA, USA.
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA.
- Genome Center, University of California, Davis, CA, USA.
- MIND Institute, University of California, Davis, CA, USA.
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Mouat JS, Li S, Myint SS, Laufer BI, Lupo PJ, Schraw JM, Woodhouse JP, de Smith AJ, LaSalle JM. Epigenomic signature of major congenital heart defects in newborns with Down syndrome. medRxiv 2023:2023.05.02.23289417. [PMID: 37205408 PMCID: PMC10187438 DOI: 10.1101/2023.05.02.23289417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Background Congenital heart defects (CHDs) affect approximately half of individuals with Down syndrome (DS) but the molecular reasons for incomplete penetrance are unknown. Previous studies have largely focused on identifying genetic risk factors associated with CHDs in individuals with DS, but comprehensive studies of the contribution of epigenetic marks are lacking. We aimed to identify and characterize DNA methylation differences from newborn dried blood spots (NDBS) of DS individuals with major CHDs compared to DS individuals without CHDs. Methods We used the Illumina EPIC array and whole-genome bisulfite sequencing (WGBS) to quantitate DNA methylation for 86 NDBS samples from the California Biobank Program: 1) 45 DS-CHD (27 female, 18 male) and 2) 41 DS non-CHD (27 female, 14 male). We analyzed global CpG methylation and identified differentially methylated regions (DMRs) in DS-CHD vs DS non-CHD comparisons (both sex-combined and sex-stratified) corrected for sex, age of blood collection, and cell type proportions. CHD DMRs were analyzed for enrichment in CpG and genic contexts, chromatin states, and histone modifications by genomic coordinates and for gene ontology enrichment by gene mapping. DMRs were also tested in a replication dataset and compared to methylation levels in DS vs typical development (TD) WGBS NDBS samples. Results We found global CpG hypomethylation in DS-CHD males compared to DS non-CHD males, which was attributable to elevated levels of nucleated red blood cells and not seen in females. At a regional level, we identified 58, 341, and 3,938 CHD-associated DMRs in the Sex Combined, Females Only, and Males Only groups, respectively, and used machine learning algorithms to select 19 Males Only loci that could distinguish CHD from non-CHD. DMRs in all comparisons were enriched for gene exons, CpG islands, and bivalent chromatin and mapped to genes enriched for terms related to cardiac and immune functions. Lastly, a greater percentage of CHD-associated DMRs than background regions were differentially methylated in DS vs TD samples. Conclusions A sex-specific signature of DNA methylation was detected in NDBS of DS-CHD compared to DS non-CHD individuals. This supports the hypothesis that epigenetics can reflect the variability of phenotypes in DS, particularly CHDs.
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Affiliation(s)
- Julia S Mouat
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, CA USA
- Perinatal Origins of Disparities Center, University of California, Davis, CA USA
- Genome Center, University of California, Davis, CA USA
- MIND Institute, University of California, Davis, CA USA
| | - Shaobo Li
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, CA USA
| | - Swe Swe Myint
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, CA USA
| | - Benjamin I Laufer
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, CA USA
- Perinatal Origins of Disparities Center, University of California, Davis, CA USA
- Genome Center, University of California, Davis, CA USA
- MIND Institute, University of California, Davis, CA USA
| | - Philip J Lupo
- Division of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX USA
| | - Jeremy M Schraw
- Division of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX USA
| | - John P Woodhouse
- Division of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX USA
| | - Adam J de Smith
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, CA USA
| | - Janine M LaSalle
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, CA USA
- Perinatal Origins of Disparities Center, University of California, Davis, CA USA
- Genome Center, University of California, Davis, CA USA
- MIND Institute, University of California, Davis, CA USA
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