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Kozlov G, Franceschi C, Vedunova M. Intricacies of aging and Down syndrome. Neurosci Biobehav Rev 2024; 164:105794. [PMID: 38971514 DOI: 10.1016/j.neubiorev.2024.105794] [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: 04/11/2024] [Revised: 06/26/2024] [Accepted: 07/01/2024] [Indexed: 07/08/2024]
Abstract
Down syndrome is the most frequently occurring genetic condition, with a substantial escalation in risk associated with advanced maternal age. The syndrome is characterized by a diverse range of phenotypes, affecting to some extent all levels of organization, and its progeroid nature - early manifestation of aspects of the senile phenotype. Despite extensive investigations, many aspects and mechanisms of the disease remain unexplored. The current review aims to provide an overview of the main causes and manifestations of Down syndrome, while also examining the phenomenon of accelerated aging and exploring potential therapeutic strategies.
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Affiliation(s)
- G Kozlov
- Institute of Biology and Biomedicine, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Gagarin ave., 23, 603022, Russia
| | - C Franceschi
- Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Gagarin ave., 23, 603022, Russia
| | - M Vedunova
- Institute of Biology and Biomedicine, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Gagarin ave., 23, 603022, Russia; Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilov str., 119991 Moscow, Russia.
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2
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Caracausi M, Ramacieri G, Catapano F, Cicilloni M, Lajin B, Pelleri MC, Piovesan A, Vitale L, Locatelli C, Pirazzoli GL, Strippoli P, Antonaros F, Vione B. The functional roles of S-adenosyl-methionine and S-adenosyl-homocysteine and their involvement in trisomy 21. Biofactors 2024; 50:709-724. [PMID: 38353465 DOI: 10.1002/biof.2044] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 01/03/2024] [Indexed: 08/09/2024]
Abstract
The one-carbon metabolism pathway is involved in critical human cellular functions such as cell proliferation, mitochondrial respiration, and epigenetic regulation. In the homocysteine-methionine cycle S-adenosyl-methionine (SAM) and S-adenosyl-homocysteine (SAH) are synthetized, and their levels are finely regulated to ensure proper functioning of key enzymes which control cellular growth and differentiation. Here we review the main biological mechanisms involving SAM and SAH and the known related human diseases. It was recently demonstrated that SAM and SAH levels are altered in plasma of subjects with trisomy 21 (T21) but how this metabolic dysregulation influences the clinical manifestation of T21 phenotype has not been previously described. This review aims at providing an overview of the biological mechanisms which are altered in response to changes in the levels of SAM and SAH observed in DS.
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Affiliation(s)
- Maria Caracausi
- Unit of Histology, Embryology and Applied Biology, Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Giuseppe Ramacieri
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
- Speciality School of Child Neuropsychiatry-Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Francesca Catapano
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Michela Cicilloni
- Unit of Histology, Embryology and Applied Biology, Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Bassam Lajin
- Institute of Chemistry, ChromICP, University of Graz, Graz, Austria
| | - Maria Chiara Pelleri
- Unit of Histology, Embryology and Applied Biology, Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Allison Piovesan
- Unit of Histology, Embryology and Applied Biology, Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Lorenza Vitale
- Unit of Histology, Embryology and Applied Biology, Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Chiara Locatelli
- Neonatology Unit, St. Orsola-Malpighi Polyclinic, Bologna, Italy
| | | | - Pierluigi Strippoli
- Unit of Histology, Embryology and Applied Biology, Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Francesca Antonaros
- Unit of Histology, Embryology and Applied Biology, Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Beatrice Vione
- Unit of Histology, Embryology and Applied Biology, Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
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3
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Streng BMM, Van Coillie J, Wildenbeest JG, Binnendijk RS, Smits G, den Hartog G, Wang W, Nouta J, Linty F, Visser R, Wuhrer M, Vidarsson G, Bont LJ. IgG1 glycosylation highlights premature aging in Down syndrome. Aging Cell 2024; 23:e14167. [PMID: 38616780 PMCID: PMC11258452 DOI: 10.1111/acel.14167] [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: 12/14/2023] [Revised: 03/12/2024] [Accepted: 03/24/2024] [Indexed: 04/16/2024] Open
Abstract
Down syndrome (DS) is characterized by lowered immune competence and premature aging. We previously showed decreased antibody response following SARS-CoV-2 vaccination in adults with DS. IgG1 Fc glycosylation patterns are known to affect the effector function of IgG and are associated with aging. Here, we compare total and anti-spike (S) IgG1 glycosylation patterns following SARS-CoV-2 vaccination in DS and healthy controls (HC). Total and anti-Spike IgG1 Fc N-glycan glycoprofiles were measured in non-exposed adults with DS and controls before and after SARS-CoV-2 vaccination by liquid chromatography-mass spectrometry (LC-MS) of Fc glycopeptides. We recruited N = 44 patients and N = 40 controls. We confirmed IgG glycosylation patterns associated with aging in HC and showed premature aging in DS. In DS, we found decreased galactosylation (50.2% vs. 59.0%) and sialylation (6.7% vs. 8.5%) as well as increased fucosylation (97.0% vs. 94.6%) of total IgG. Both cohorts showed similar bisecting GlcNAc of total and anti-S IgG1 with age. In contrast, anti-S IgG1 of DS and HC showed highly comparable glycosylation profiles 28 days post vaccination. The IgG1 glycoprofile in DS exhibits strong premature aging. The combination of an early decrease in IgG1 Fc galactosylation and sialylation and increase in fucosylation is predicted to reduce complement activity and decrease FcγRIII binding and subsequent activation, respectively. The altered glycosylation patterns, combined with decreased antibody concentrations, help us understand the susceptibility to severe infections in DS. The effect of premature aging highlights the need for individuals with DS to receive tailored vaccines and/or vaccination schedules.
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Affiliation(s)
- Bianca M. M. Streng
- Department of Paediatric Infectious Diseases and Immunology, Wilhelmina Children's HospitalUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Julie Van Coillie
- Sanquin Research and Landsteiner LaboratoryAmsterdam University Medical Center, University of AmsterdamAmsterdamThe Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular ResearchUtrecht UniversityUtrechtThe Netherlands
| | - Joanne G. Wildenbeest
- Department of Paediatric Infectious Diseases and Immunology, Wilhelmina Children's HospitalUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Rob S. Binnendijk
- Centre for Immunology of Infectious Diseases and VaccinesNational Institute of Public Health and the EnvironmentBilthovenThe Netherlands
| | - Gaby Smits
- Centre for Immunology of Infectious Diseases and VaccinesNational Institute of Public Health and the EnvironmentBilthovenThe Netherlands
| | - Gerco den Hartog
- Centre for Immunology of Infectious Diseases and VaccinesNational Institute of Public Health and the EnvironmentBilthovenThe Netherlands
| | - Wenjun Wang
- Center for Proteomics and Metabolomics, Leiden University Medical CenterLeidenThe Netherlands
| | - Jan Nouta
- Center for Proteomics and Metabolomics, Leiden University Medical CenterLeidenThe Netherlands
| | - Federica Linty
- Sanquin Research and Landsteiner LaboratoryAmsterdam University Medical Center, University of AmsterdamAmsterdamThe Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular ResearchUtrecht UniversityUtrechtThe Netherlands
| | - Remco Visser
- Sanquin Research and Landsteiner LaboratoryAmsterdam University Medical Center, University of AmsterdamAmsterdamThe Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular ResearchUtrecht UniversityUtrechtThe Netherlands
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical CenterLeidenThe Netherlands
| | - Gestur Vidarsson
- Sanquin Research and Landsteiner LaboratoryAmsterdam University Medical Center, University of AmsterdamAmsterdamThe Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular ResearchUtrecht UniversityUtrechtThe Netherlands
| | - Louis J. Bont
- Department of Paediatric Infectious Diseases and Immunology, Wilhelmina Children's HospitalUniversity Medical Center UtrechtUtrechtThe Netherlands
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Sandalova E, Maier AB. Targeting the epigenetically older individuals for geroprotective trials: the use of DNA methylation clocks. Biogerontology 2024; 25:423-431. [PMID: 37968337 DOI: 10.1007/s10522-023-10077-4] [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: 09/08/2023] [Accepted: 10/15/2023] [Indexed: 11/17/2023]
Abstract
Chronological age is the most important risk factor for the incidence of age-related diseases. The pace of ageing determines the magnitude of that risk and can be expressed as biological age. Targeting fundamental pathways of human aging with geroprotectors has the potential to lower the biological age and therewith prolong the healthspan, the period of life one spends in good health. Target populations for geroprotective interventions should be chosen based on the ageing mechanisms being addressed and the expected effect of the geroprotector on the primary outcome. Biomarkers of ageing, such as DNA methylation age, can be used to select populations for geroprotective interventions and as a surrogate outcome. Here, the use of DNA methylation clocks for selecting target populations for geroprotective intervention is explored.
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Affiliation(s)
- Elena Sandalova
- Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Centre for Healthy Longevity, @AgeSingapore, National University Health System, Singapore, Singapore.
| | - Andrea B Maier
- Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Centre for Healthy Longevity, @AgeSingapore, National University Health System, Singapore, Singapore.
- Department of Human Movement Sciences, @AgeAmsterdam, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
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5
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Villani ER, Onder G, Marzetti E, Coelho-Junior H, Calvani R, Di Paola A, Carfì A. Body composition parameters and sarcopenia in adults with Down syndrome: a case-control study. Aging Clin Exp Res 2024; 36:81. [PMID: 38551714 PMCID: PMC10980647 DOI: 10.1007/s40520-023-02680-9] [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: 10/21/2023] [Accepted: 11/15/2023] [Indexed: 04/01/2024]
Abstract
BACKGROUND Individuals with Down syndrome (DS) experience premature aging. Whether accelerated aging involves changes in body composition parameters and is associated with early development of sarcopenia is unclear. AIMS To compare parameters of body composition and the prevalence of sarcopenia between adults with DS and the general population. METHODS Body composition was assessed by whole-body dual-energy X-ray absorptiometry (DXA). Fat mass (FMI) and skeletal mass indices (SMI) were calculated as the ratio between total body fat mass and appendicular lean mass and the square of height, respectively. Fat mass distribution was assessed by the android/gynoid fat ratio (A/G). Sarcopenia was defined according to the criteria and cut-points recommended by the European Working Group on Sarcopenia in Older People 2 (EWGSOP2). Data on age- and sex-matched non-DS controls were retrieved from the 2001-2002 National Health and Nutrition Examination Survey (NHANES) population. RESULTS Sixty-four DS adults (mean age 37.2 ± 12.0 years, 20.3% women) were enrolled and compared with age- and sex-matched NHANES participants (n = 256), in a 1:4 ratio. FMI (7.96 ± 3.18 kg/m2 vs. 8.92 ± 4.83 kg/m2, p = 0.135), SMI (7.38 ± 1.01 kg/m2 vs. 7.46 ± 2.77 kg/m2, p = 0.825) and A/G (0.98 ± 0.17 vs. 1.01 ± 0.22, p = 0.115) were not significantly different between DS and control participants. When the sample was stratified by sex, women with DS had a higher FMI compared with their NHANES controls (10.16 ± 4.35 kg/m2 vs. 8.11 ± 4.29 kg/m2, p < 0.001), while men with DS had lower A/G ratio (1.04 ± 0.16 vs. 1.11 ± 0.22, p = 0.002). Sarcopenia was more frequent in individuals with DS than in controls (35.6% vs. 19.9%, p = 0.007). This association was stronger in men 40 years and older. CONCLUSIONS Adults with DS have a higher prevalence of sarcopenia compared with the general population. This finding suggests that DS is associated with early muscle aging and calls for the design of interventions targeting the skeletal muscle to prevent or treat sarcopenia.
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Affiliation(s)
- Emanuele Rocco Villani
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Rome, Italy.
| | - Graziano Onder
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Emanuele Marzetti
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Rome, Italy
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy
| | - Helio Coelho-Junior
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Riccardo Calvani
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Rome, Italy
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy
| | - Antonella Di Paola
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Rome, Italy
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy
| | - Angelo Carfì
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Rome, Italy
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy
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Zhang Z, Reynolds SR, Stolrow HG, Chen J, 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 PMCID: PMC10928575 DOI: 10.1111/acel.14071] [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: 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 EpidemiologyGeisel School of Medicine at DartmouthLebanonNew HampshireUSA
- Dartmouth Cancer CenterDartmouth‐Hitchcock Medical CenterLebanonNew HampshireUSA
- Quantitative Biomedical Sciences ProgramGuarini School of Graduate and Advanced StudiesHanoverNew HampshireUSA
| | - Samuel R. Reynolds
- Department of EpidemiologyGeisel School of Medicine at DartmouthLebanonNew HampshireUSA
| | - Hannah G. Stolrow
- Department of EpidemiologyGeisel School of Medicine at DartmouthLebanonNew HampshireUSA
- Dartmouth Cancer CenterDartmouth‐Hitchcock Medical CenterLebanonNew HampshireUSA
| | - Ji‐Qing Chen
- Department of EpidemiologyGeisel School of Medicine at DartmouthLebanonNew HampshireUSA
- Molecular and Cellular Biology ProgramGuarini School of Graduate and Advanced StudiesHanoverNew HampshireUSA
| | - Brock C. Christensen
- Department of EpidemiologyGeisel School of Medicine at DartmouthLebanonNew HampshireUSA
- Dartmouth Cancer CenterDartmouth‐Hitchcock Medical CenterLebanonNew HampshireUSA
- Quantitative Biomedical Sciences ProgramGuarini School of Graduate and Advanced StudiesHanoverNew HampshireUSA
- Molecular and Cellular Biology ProgramGuarini School of Graduate and Advanced StudiesHanoverNew HampshireUSA
| | - Lucas A. Salas
- Department of EpidemiologyGeisel School of Medicine at DartmouthLebanonNew HampshireUSA
- Dartmouth Cancer CenterDartmouth‐Hitchcock Medical CenterLebanonNew HampshireUSA
- Quantitative Biomedical Sciences ProgramGuarini School of Graduate and Advanced StudiesHanoverNew HampshireUSA
- Molecular and Cellular Biology ProgramGuarini School of Graduate and Advanced StudiesHanoverNew HampshireUSA
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Perez K, Parras A, Picó S, Rechsteiner C, Haghani A, Brooke R, Mrabti C, Schoenfeldt L, Horvath S, Ocampo A. DNA repair-deficient premature aging models display accelerated epigenetic age. Aging Cell 2024; 23:e14058. [PMID: 38140713 PMCID: PMC10861193 DOI: 10.1111/acel.14058] [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: 04/07/2023] [Revised: 11/20/2023] [Accepted: 11/22/2023] [Indexed: 12/24/2023] Open
Abstract
Several premature aging mouse models have been developed to study aging and identify interventions that can delay age-related diseases. Yet, it is still unclear whether these models truly recapitulate natural aging. Here, we analyzed DNA methylation in multiple tissues of four previously reported mouse models of premature aging (Ercc1, LAKI, Polg, and Xpg). We estimated DNA methylation (DNAm) age of these samples using the Horvath clock. The most pronounced increase in DNAm age could be observed in Ercc1 mice, a strain which exhibits a deficit in DNA nucleotide excision repair. Similarly, we detected an increase in epigenetic age in fibroblasts isolated from patients with progeroid syndromes associated with mutations in DNA excision repair genes. These findings highlight that mouse models with deficiencies in DNA repair, unlike other premature aging models, display accelerated epigenetic age, suggesting a strong connection between DNA damage and epigenetic dysregulation during aging.
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Affiliation(s)
- Kevin Perez
- Department of Biomedical Sciences, Faculty of Biology and MedicineUniversity of LausanneLausanneSwitzerland
- EPITERNA SAEpalingesSwitzerland
| | - Alberto Parras
- Department of Biomedical Sciences, Faculty of Biology and MedicineUniversity of LausanneLausanneSwitzerland
- EPITERNA SAEpalingesSwitzerland
| | - Sara Picó
- Department of Biomedical Sciences, Faculty of Biology and MedicineUniversity of LausanneLausanneSwitzerland
| | - Cheyenne Rechsteiner
- Department of Biomedical Sciences, Faculty of Biology and MedicineUniversity of LausanneLausanneSwitzerland
| | | | - Robert Brooke
- Epigenetic Clock Development FoundationTorranceCaliforniaUSA
| | - Calida Mrabti
- Department of Biomedical Sciences, Faculty of Biology and MedicineUniversity of LausanneLausanneSwitzerland
| | - Lucas Schoenfeldt
- Department of Biomedical Sciences, Faculty of Biology and MedicineUniversity of LausanneLausanneSwitzerland
- EPITERNA SAEpalingesSwitzerland
| | - Steve Horvath
- Altos LabsSan DiegoCaliforniaUSA
- Epigenetic Clock Development FoundationTorranceCaliforniaUSA
- Human Genetics, David Geffen School of MedicineUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Alejandro Ocampo
- Department of Biomedical Sciences, Faculty of Biology and MedicineUniversity of LausanneLausanneSwitzerland
- EPITERNA SAEpalingesSwitzerland
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8
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Kozhemiako N, Buckley AW, Chervin RD, Redline S, Purcell SM. Mapping neurodevelopment with sleep macro- and micro-architecture across multiple pediatric populations. Neuroimage Clin 2023; 41:103552. [PMID: 38150746 PMCID: PMC10788305 DOI: 10.1016/j.nicl.2023.103552] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 10/30/2023] [Accepted: 12/12/2023] [Indexed: 12/29/2023]
Abstract
Profiles of sleep duration and timing and corresponding electroencephalographic activity reflect brain changes that support cognitive and behavioral maturation and may provide practical markers for tracking typical and atypical neurodevelopment. To build and evaluate a sleep-based, quantitative metric of brain maturation, we used whole-night polysomnography data, initially from two large National Sleep Research Resource samples, spanning childhood and adolescence (total N = 4,013, aged 2.5 to 17.5 years): the Childhood Adenotonsillectomy Trial (CHAT), a research study of children with snoring without neurodevelopmental delay, and Nationwide Children's Hospital (NCH) Sleep Databank, a pediatric sleep clinic cohort. Among children without neurodevelopmental disorders (NDD), sleep metrics derived from the electroencephalogram (EEG) displayed robust age-related changes consistently across datasets. During non-rapid eye movement (NREM) sleep, spindles and slow oscillations further exhibited characteristic developmental patterns, with respect to their rate of occurrence, temporal coupling and morphology. Based on these metrics in NCH, we constructed a model to predict an individual's chronological age. The model performed with high accuracy (r = 0.93 in the held-out NCH sample and r = 0.85 in a second independent replication sample - the Pediatric Adenotonsillectomy Trial for Snoring (PATS)). EEG-based age predictions reflected clinically meaningful neurodevelopmental differences; for example, children with NDD showed greater variability in predicted age, and children with Down syndrome or intellectual disability had significantly younger brain age predictions (respectively, 2.1 and 0.8 years less than their chronological age) compared to age-matched non-NDD children. Overall, our results indicate that sleep architectureoffers a sensitive window for characterizing brain maturation, suggesting the potential for scalable, objective sleep-based biomarkers to measure neurodevelopment.
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Affiliation(s)
- N Kozhemiako
- Brigham and Women's Hospital & Harvard Medical School, Boston, MA, USA
| | - A W Buckley
- Sleep & Neurodevelopment Core, National Institute of Mental Health, NIH, Bethesda, MD, USA
| | - R D Chervin
- Sleep Disorders Center and Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - S Redline
- Brigham and Women's Hospital & Harvard Medical School, Boston, MA, USA; Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - S M Purcell
- Brigham and Women's Hospital & Harvard Medical School, Boston, MA, USA.
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9
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Katrinli S, Smith AK, Drury SS, Covault J, Ford JD, Singh V, Reese B, Johnson A, Scranton V, Fall P, Briggs-Gowan M, Grasso DJ. Cumulative stress, PTSD, and emotion dysregulation during pregnancy and epigenetic age acceleration in Hispanic mothers and their newborn infants. Epigenetics 2023; 18:2231722. [PMID: 37433036 DOI: 10.1080/15592294.2023.2231722] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 05/23/2023] [Accepted: 06/26/2023] [Indexed: 07/13/2023] Open
Abstract
Pregnancy can exacerbate or prompt the onset of stress-related disorders, such as post-traumatic stress disorder (PTSD). PTSD is associated with heightened stress responsivity and emotional dysregulation, as well as increased risk of chronic disorders and mortality. Further, maternal PTSD is associated with gestational epigenetic age acceleration in newborns, implicating the prenatal period as a developmental time period for the transmission of effects across generations. Here, we evaluated the associations between PTSD symptoms, maternal epigenetic age acceleration, and infant gestational epigenetic age acceleration in 89 maternal-neonatal dyads. Trauma-related experiences and PTSD symptoms in mothers were assessed during the third trimester of pregnancy. The MethylationEPIC array was used to generate DNA methylation data from maternal and neonatal saliva samples collected within 24 h of infant birth. Maternal epigenetic age acceleration was calculated using Horvath's multi-tissue clock, PhenoAge and GrimAge. Gestational epigenetic age was estimated using the Haftorn clock. Maternal cumulative past-year stress (GrimAge: p = 3.23e-04, PhenoAge: p = 9.92e-03), PTSD symptoms (GrimAge: p = 0.019), and difficulties in emotion regulation (GrimAge: p = 0.028) were associated with accelerated epigenetic age in mothers. Maternal PTSD symptoms were associated with lower gestational epigenetic age acceleration in neonates (p = 0.032). Overall, our results suggest that maternal cumulative past-year stress exposure and trauma-related symptoms may increase the risk for age-related problems in mothers and developmental problems in their newborns.
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Affiliation(s)
- Seyma Katrinli
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Alicia K Smith
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA
- Department of Psychiatry & Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Stacy S Drury
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jonathan Covault
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
| | - Julian D Ford
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Vijender Singh
- Computational Biology Core, University of Connecticut, School of Medicine, Storrs, CT, USA
| | - Bo Reese
- Center for Genome Innovation, University of Connecticut, Storrs, CT, USA
| | - Amy Johnson
- Obstetrics & Gynecology, Hartford Hospital, Hartford, CT, USA
| | - Victoria Scranton
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Pamela Fall
- Clinical Research Center Core Laboratory, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Margaret Briggs-Gowan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Damion J Grasso
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
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10
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Murray A, Gough G, Cindrić A, Vučković F, Koschut D, Borelli V, Petrović DJ, Bekavac A, Plećaš A, Hribljan V, Brunmeir R, Jurić J, Pučić-Baković M, Slana A, Deriš H, Frkatović A, Groet J, O'Brien NL, Chen HY, Yeap YJ, Delom F, Havlicek S, Gammon L, Hamburg S, Startin C, D'Souza H, Mitrečić D, Kero M, Odak L, Krušlin B, Krsnik Ž, Kostović I, Foo JN, Loh YH, Dunn NR, de la Luna S, Spector T, Barišić I, Thomas MSC, Strydom A, Franceschi C, Lauc G, Krištić J, Alić I, Nižetić D. Dose imbalance of DYRK1A kinase causes systemic progeroid status in Down syndrome by increasing the un-repaired DNA damage and reducing LaminB1 levels. EBioMedicine 2023; 94:104692. [PMID: 37451904 PMCID: PMC10435767 DOI: 10.1016/j.ebiom.2023.104692] [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: 02/02/2023] [Revised: 06/15/2023] [Accepted: 06/20/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND People with Down syndrome (DS) show clinical signs of accelerated ageing. Causative mechanisms remain unknown and hypotheses range from the (essentially untreatable) amplified-chromosomal-instability explanation, to potential actions of individual supernumerary chromosome-21 genes. The latter explanation could open a route to therapeutic amelioration if the specific over-acting genes could be identified and their action toned-down. METHODS Biological age was estimated through patterns of sugar molecules attached to plasma immunoglobulin-G (IgG-glycans, an established "biological-ageing-clock") in n = 246 individuals with DS from three European populations, clinically characterised for the presence of co-morbidities, and compared to n = 256 age-, sex- and demography-matched healthy controls. Isogenic human induced pluripotent stem cell (hiPSCs) models of full and partial trisomy-21 with CRISPR-Cas9 gene editing and two kinase inhibitors were studied prior and after differentiation to cerebral organoids. FINDINGS Biological age in adults with DS is (on average) 18.4-19.1 years older than in chronological-age-matched controls independent of co-morbidities, and this shift remains constant throughout lifespan. Changes are detectable from early childhood, and do not require a supernumerary chromosome, but are seen in segmental duplication of only 31 genes, along with increased DNA damage and decreased levels of LaminB1 in nucleated blood cells. We demonstrate that these cell-autonomous phenotypes can be gene-dose-modelled and pharmacologically corrected in hiPSCs and derived cerebral organoids. Using isogenic hiPSC models we show that chromosome-21 gene DYRK1A overdose is sufficient and necessary to cause excess unrepaired DNA damage. INTERPRETATION Explanation of hitherto observed accelerated ageing in DS as a developmental progeroid syndrome driven by DYRK1A overdose provides a target for early pharmacological preventative intervention strategies. FUNDING Main funding came from the "Research Cooperability" Program of the Croatian Science Foundation funded by the European Union from the European Social Fund under the Operational Programme Efficient Human Resources 2014-2020, Project PZS-2019-02-4277, and the Wellcome Trust Grants 098330/Z/12/Z and 217199/Z/19/Z (UK). All other funding is described in details in the "Acknowledgements".
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Affiliation(s)
- Aoife Murray
- Faculty of Medicine and Dentistry, Blizard Institute, Queen Mary University of London, London, UK; The London Down Syndrome Consortium (LonDownS), London, UK.
| | - Gillian Gough
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Ana Cindrić
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
| | - Frano Vučković
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
| | - David Koschut
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Disease Intervention Technology Laboratory (DITL), Institute of Molecular and Cellular Biology (IMCB), Agency for Science, Technology and Research (A∗STAR), Singapore
| | - Vincenzo Borelli
- Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, Italy
| | - Dražen J Petrović
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia; Croatian Institute for Brain Research, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Ana Bekavac
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Ante Plećaš
- Faculty of Veterinary Medicine, Department of Anatomy, Histology and Embryology, University of Zagreb, Zagreb, Croatia
| | - Valentina Hribljan
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Reinhard Brunmeir
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Julija Jurić
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
| | | | - Anita Slana
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
| | - Helena Deriš
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
| | - Azra Frkatović
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
| | - Jűrgen Groet
- Faculty of Medicine and Dentistry, Blizard Institute, Queen Mary University of London, London, UK; The London Down Syndrome Consortium (LonDownS), London, UK
| | - Niamh L O'Brien
- Faculty of Medicine and Dentistry, Blizard Institute, Queen Mary University of London, London, UK; The London Down Syndrome Consortium (LonDownS), London, UK
| | - Hong Yu Chen
- Institute of Molecular and Cell Biology (IMCB), A∗STAR, Singapore
| | - Yee Jie Yeap
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Frederic Delom
- Faculty of Medicine and Dentistry, Blizard Institute, Queen Mary University of London, London, UK
| | - Steven Havlicek
- Laboratory of Neurogenetics, Genome Institute of Singapore, A∗STAR, Singapore
| | - Luke Gammon
- Faculty of Medicine and Dentistry, Blizard Institute, Queen Mary University of London, London, UK
| | - Sarah Hamburg
- The London Down Syndrome Consortium (LonDownS), London, UK
| | - Carla Startin
- The London Down Syndrome Consortium (LonDownS), London, UK; Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Division of Psychiatry, University College London, London, UK; School of Psychology, University of Roehampton, London, UK
| | - Hana D'Souza
- The London Down Syndrome Consortium (LonDownS), London, UK; Centre for Brain and Cognitive Development, Birkbeck, University of London, London, UK
| | - Dinko Mitrečić
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Mijana Kero
- Department of Medical Genetics, Children's Hospital Zagreb, Centre of Excellence for Reproductive and Regenerative Medicine, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Ljubica Odak
- Department of Medical Genetics, Children's Hospital Zagreb, Centre of Excellence for Reproductive and Regenerative Medicine, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Božo Krušlin
- Department of Pathology, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Željka Krsnik
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Ivica Kostović
- Croatian Institute for Brain Research, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Jia Nee Foo
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Laboratory of Neurogenetics, Genome Institute of Singapore, A∗STAR, Singapore
| | - Yuin-Han Loh
- Institute of Molecular and Cell Biology (IMCB), A∗STAR, Singapore
| | - Norris Ray Dunn
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Institute of Molecular and Cell Biology (IMCB), A∗STAR, Singapore
| | - Susana de la Luna
- ICREA, Genome Biology Programme (CRG), Universitat Pompeu Fabra (UPF), CIBER of Rare Diseases, Barcelona, Spain
| | - Tim Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Ingeborg Barišić
- Department of Medical Genetics, Children's Hospital Zagreb, Centre of Excellence for Reproductive and Regenerative Medicine, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Michael S C Thomas
- The London Down Syndrome Consortium (LonDownS), London, UK; Centre for Brain and Cognitive Development, Birkbeck, University of London, London, UK
| | - Andre Strydom
- The London Down Syndrome Consortium (LonDownS), London, UK; Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Division of Psychiatry, University College London, London, UK
| | - Claudio Franceschi
- Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, Italy; Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia
| | - Gordan Lauc
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia; Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | | | - Ivan Alić
- Faculty of Medicine and Dentistry, Blizard Institute, Queen Mary University of London, London, UK; Faculty of Veterinary Medicine, Department of Anatomy, Histology and Embryology, University of Zagreb, Zagreb, Croatia.
| | - Dean Nižetić
- Faculty of Medicine and Dentistry, Blizard Institute, Queen Mary University of London, London, UK; The London Down Syndrome Consortium (LonDownS), London, UK; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
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11
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Gao C, Amador C, Walker RM, Campbell A, Madden RA, Adams MJ, Bai X, Liu Y, Li M, Hayward C, Porteous DJ, Shen X, Evans KL, Haley CS, McIntosh AM, Navarro P, Zeng Y. Phenome-wide analyses identify an association between the parent-of-origin effects dependent methylome and the rate of aging in humans. Genome Biol 2023; 24:117. [PMID: 37189164 PMCID: PMC10184337 DOI: 10.1186/s13059-023-02953-6] [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: 10/05/2022] [Accepted: 04/26/2023] [Indexed: 05/17/2023] Open
Abstract
BACKGROUND The variation in the rate at which humans age may be rooted in early events acting through the genomic regions that are influenced by such events and subsequently are related to health phenotypes in later life. The parent-of-origin-effect (POE)-regulated methylome includes regions enriched for genetically controlled imprinting effects (the typical type of POE) and regions influenced by environmental effects associated with parents (the atypical POE). This part of the methylome is heavily influenced by early events, making it a potential route connecting early exposures, the epigenome, and aging. We aim to test the association of POE-CpGs with early and later exposures and subsequently with health-related phenotypes and adult aging. RESULTS We perform a phenome-wide association analysis for the POE-influenced methylome using GS:SFHS (Ndiscovery = 5087, Nreplication = 4450). We identify and replicate 92 POE-CpG-phenotype associations. Most of the associations are contributed by the POE-CpGs belonging to the atypical class where the most strongly enriched associations are with aging (DNAmTL acceleration), intelligence, and parental (maternal) smoking exposure phenotypes. A proportion of the atypical POE-CpGs form co-methylation networks (modules) which are associated with these phenotypes, with one of the aging-associated modules displaying increased within-module methylation connectivity with age. The atypical POE-CpGs also display high levels of methylation heterogeneity, fast information loss with age, and a strong correlation with CpGs contained within epigenetic clocks. CONCLUSIONS These results identify the association between the atypical POE-influenced methylome and aging and provide new evidence for the "early development of origin" hypothesis for aging in humans.
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Affiliation(s)
- Chenhao Gao
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
| | - Carmen Amador
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Rosie M Walker
- Centre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, Edinburgh BioQuarter, Edinburgh, UK
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- School of Psychology, University of Exeter, Perry Road, Exeter, UK
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | | | - Mark J Adams
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Xiaomeng Bai
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
| | - Ying Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
| | - Miaoxin Li
- Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Xueyi Shen
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Kathryn L Evans
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Chris S Haley
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK
| | | | - Pau Navarro
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
- Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.
| | - Yanni Zeng
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
- Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
- Guangdong Province Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
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12
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Zhang Z, Stolrow HG, Christensen BC, Salas LA. Down Syndrome Altered Cell Composition in Blood, Brain, and Buccal Swab Samples Profiled by DNA-Methylation-Based Cell-Type Deconvolution. Cells 2023; 12:cells12081168. [PMID: 37190077 DOI: 10.3390/cells12081168] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 04/10/2023] [Accepted: 04/11/2023] [Indexed: 05/17/2023] Open
Abstract
Down syndrome (DS) is a genetic disorder caused by an extra copy of chromosome 21 that presents developmental dysfunction and intellectual disability. To better understand the cellular changes associated with DS, we investigated the cell composition in blood, brain, and buccal swab samples from DS patients and controls using DNA methylation-based cell-type deconvolution. We used genome-scale DNA methylation data from Illumina HumanMethylation450k and HumanMethylationEPIC arrays to profile cell composition and trace fetal lineage cells in blood samples (DS N = 46; control N = 1469), brain samples from various regions (DS N = 71; control N = 101), and buccal swab samples (DS N = 10; control N = 10). In early development, the number of cells from the fetal lineage in the blood is drastically lower in DS patients (Δ = 17.5%), indicating an epigenetically dysregulated maturation process for DS patients. Across sample types, we observed significant alterations in relative cell-type proportions for DS subjects compared with the controls. Cell-type proportion alterations were present in samples from early development and adulthood. Our findings provide insight into DS cellular biology and suggest potential cellular interventional targets for DS.
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Affiliation(s)
- Ze Zhang
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
| | - Hannah G Stolrow
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
| | - Brock C Christensen
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
| | - Lucas A Salas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
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13
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Bhattacharya S, Cherry C, Deutsch G, Glass IA, Mariani TJ, Alam DA, Danopoulos S. A Trisomy 21 Lung Cell Atlas. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.30.534839. [PMID: 37066313 PMCID: PMC10103948 DOI: 10.1101/2023.03.30.534839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Trisomy 21 (T21), resulting in Down Syndrome (DS), is the most prevalent chromosomal abnormality worldwide. While pulmonary disease is a major cause of morbidity and mortality in DS, the ontogeny of pulmonary complications remains poorly understood. We recently demonstrated that T21 lung anomalies, including airway branching and vascular lymphatic abnormalities, are initiated in utero. Here, we aimed to describe molecular changes at the single cell level in prenatal T21 lungs. Our results demonstrate differences in the proportion of cell populations and detail changes in gene expression at the time of initiation of histopathological abnormalities. Notably, we identify shifts in the distribution of alveolar epithelial progenitors, widespread induction of key extracellular matrix molecules in mesenchymal cells and hyper-activation of IFN signaling in endothelial cells. This single cell atlas of T21 lungs greatly expands our understanding of antecedents to pulmonary complications and should facilitate efforts to mitigate respiratory disease in DS.
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14
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Gensous N, Sala C, Pirazzini C, Ravaioli F, Milazzo M, Kwiatkowska KM, Marasco E, De Fanti S, Giuliani C, Pellegrini C, Santoro A, Capri M, Salvioli S, Monti D, Castellani G, Franceschi C, Bacalini MG, Garagnani P. A Targeted Epigenetic Clock for the Prediction of Biological Age. Cells 2022; 11:cells11244044. [PMID: 36552808 PMCID: PMC9777448 DOI: 10.3390/cells11244044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 11/28/2022] [Accepted: 12/06/2022] [Indexed: 12/15/2022] Open
Abstract
Epigenetic clocks were initially developed to track chronological age, but accumulating evidence indicates that they can also predict biological age. They are usually based on the analysis of DNA methylation by genome-wide methods, but targeted approaches, based on the assessment of a small number of CpG sites, are advisable in several settings. In this study, we developed a targeted epigenetic clock purposely optimized for the measurement of biological age. The clock includes six genomic regions mapping in ELOVL2, NHLRC1, AIM2, EDARADD, SIRT7 and TFAP2E genes, selected from a re-analysis of existing microarray data, whose DNA methylation is measured by EpiTYPER assay. In healthy subjects (n = 278), epigenetic age calculated using the targeted clock was highly correlated with chronological age (Spearman correlation = 0.89). Most importantly, and in agreement with previous results from genome-wide clocks, epigenetic age was significantly higher and lower than expected in models of increased (persons with Down syndrome, n = 62) and decreased (centenarians, n = 106; centenarians' offspring, n = 143; nutritional intervention in elderly, n = 233) biological age, respectively. These results support the potential of our targeted epigenetic clock as a new marker of biological age and open its evaluation in large cohorts to further promote the assessment of biological age in healthcare practice.
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Affiliation(s)
- Noémie Gensous
- Department of Internal Medicine and Clinical Immunology, CHU Bordeaux (Groupe Hospitalier Saint-André), 33077 Bordeaux, France
- UMR/CNRS 5164, ImmunoConcEpT, CNRS, University of Bordeaux, 33076 Bordeaux, France
| | - Claudia Sala
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40138 Bologna, Italy
| | - Chiara Pirazzini
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Via Altura 3, 40139 Bologna, Italy
| | - Francesco Ravaioli
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40138 Bologna, Italy
| | - Maddalena Milazzo
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40138 Bologna, Italy
| | | | - Elena Marasco
- Personal Genomics S.R.L., Via Roveggia, 43/B, 37134 Verona, Italy
| | - Sara De Fanti
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Via Altura 3, 40139 Bologna, Italy
| | - Cristina Giuliani
- Laboratory of Molecular Anthropology, Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, 40126 Bologna, Italy
| | - Camilla Pellegrini
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Via Altura 3, 40139 Bologna, Italy
| | - Aurelia Santoro
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40138 Bologna, Italy
- Interdepartmental Center, “Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate)”, University of Bologna, 40126 Bologna, Italy
| | - Miriam Capri
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40138 Bologna, Italy
- Interdepartmental Center, “Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate)”, University of Bologna, 40126 Bologna, Italy
| | - Stefano Salvioli
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40138 Bologna, Italy
- Interdepartmental Center, “Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate)”, University of Bologna, 40126 Bologna, Italy
| | - Daniela Monti
- Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, 50139 Florence, Italy
| | - Gastone Castellani
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40138 Bologna, Italy
| | - Claudio Franceschi
- Laboratory of Systems Medicine of Healthy Aging, Department of Applied Mathematics, Lobachevsky University, 603105 Nizhny Novgorod, Russia
| | - Maria Giulia Bacalini
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Via Altura 3, 40139 Bologna, Italy
- Correspondence: ; Tel.: +39-051-6225977
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40138 Bologna, Italy
- Interdepartmental Center, “Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate)”, University of Bologna, 40126 Bologna, Italy
- Applied Biomedical Research Center (CRBA), S. Orsola-Malpighi Polyclinic, 40138 Bologna, Italy
- Department of Laboratory Medicine, Clinical Chemistry, Karolinska Institutet, Karolinska University Hospital, 14152 Huddinge, Sweden
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15
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A set of common buccal CpGs that predict epigenetic age and associate with lifespan-regulating genes. iScience 2022; 25:105304. [PMID: 36304118 PMCID: PMC9593711 DOI: 10.1016/j.isci.2022.105304] [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: 07/08/2022] [Revised: 08/11/2022] [Accepted: 10/02/2022] [Indexed: 11/23/2022] Open
Abstract
Epigenetic aging clocks are computational models that use DNA methylation sites to predict age. Since cheek swabs are non-invasive and painless, collecting DNA from buccal tissue is highly desirable. Here, we review 11 existing clocks that have been applied to buccal tissue. Two of these were exclusively trained on adults and, while moderately accurate, have not been used to capture health-relevant differences in epigenetic age. Using 130 common CpGs utilized by two or more existing buccal clocks, we generate a proof-of-concept predictor in an adult methylomic dataset. In addition to accurately estimating age (r = 0.95 and mean absolute error = 3.88 years), this clock predicted that Down syndrome subjects were significantly older relative to controls. A literature and database review of CpG-associated genes identified numerous genes (e.g., CLOCK, ELOVL2, and VGF) and molecules (e.g., alpha-linolenic acid, glycine, and spermidine) reported to influence lifespan and/or age-related disease in model organisms. 130 CpGs have been used by two or more aging clocks applied to human buccal tissue Common CpG genes are linked to the adaptive immune system and telomere maintenance Common CpGs can be used to build a novel, proof-of-concept epigenetic aging clock Several compounds associated with common CpG genes regulate lifespan in animals
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