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Kaisinger LR, Kentistou KA, Stankovic S, Gardner EJ, Day FR, Zhao Y, Mörseburg A, Carnie CJ, Zagnoli-Vieira G, Puddu F, Jackson SP, O’Rahilly S, Farooqi IS, Dearden L, Pantaleão LC, Ozanne SE, Ong KK, Perry JR. Large-scale exome sequence analysis identifies sex- and age-specific determinants of obesity. CELL GENOMICS 2023; 3:100362. [PMID: 37601970 PMCID: PMC10435378 DOI: 10.1016/j.xgen.2023.100362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 03/15/2023] [Accepted: 07/03/2023] [Indexed: 08/22/2023]
Abstract
Obesity contributes substantially to the global burden of disease and has a significant heritable component. Recent large-scale exome sequencing studies identified several genes in which rare, protein-coding variants have large effects on adult body mass index (BMI). Here we extended such work by performing sex-stratified associations in the UK Biobank study (N∼420,000). We identified genes in which rare heterozygous loss-of-function increases adult BMI in women (DIDO1, PTPRG, and SLC12A5) and in men (SLTM), with effect sizes up to ∼8 kg/m2. This is complemented by analyses implicating rare variants in OBSCN and MADD for recalled childhood adiposity. The known functions of these genes, as well as findings of common variant genome-wide pathway enrichment analyses, suggest a role for neuron death, apoptosis, and DNA damage response mechanisms in the susceptibility to obesity across the life-course. These findings highlight the importance of considering sex-specific and life-course effects in the genetic regulation of obesity.
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Affiliation(s)
- Lena R. Kaisinger
- MRC Epidemiology Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Katherine A. Kentistou
- MRC Epidemiology Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Stasa Stankovic
- MRC Epidemiology Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Eugene J. Gardner
- MRC Epidemiology Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Felix R. Day
- MRC Epidemiology Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Yajie Zhao
- MRC Epidemiology Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Alexander Mörseburg
- MRC Epidemiology Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
- MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Christopher J. Carnie
- Wellcome Trust/Cancer Research UK Gurdon Institute, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK
- Cancer Research UK Cambridge Institute, Li Ka Shing Building, University of Cambridge, Robinson Way, Cambridge CB2 0RE, UK
| | - Guido Zagnoli-Vieira
- Wellcome Trust/Cancer Research UK Gurdon Institute, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Fabio Puddu
- Wellcome Trust/Cancer Research UK Gurdon Institute, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK
| | - Stephen P. Jackson
- Wellcome Trust/Cancer Research UK Gurdon Institute, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK
- Cancer Research UK Cambridge Institute, Li Ka Shing Building, University of Cambridge, Robinson Way, Cambridge CB2 0RE, UK
| | - Stephen O’Rahilly
- MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
| | - I. Sadaf Farooqi
- MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Laura Dearden
- MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Lucas C. Pantaleão
- MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Susan E. Ozanne
- MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Ken K. Ong
- MRC Epidemiology Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
| | - John R.B. Perry
- MRC Epidemiology Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
- MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
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Okunola HL, Shuryak I, Repin M, Wu HC, Santella RM, Terry MB, Turner HC, Brenner DJ. Improved prediction of breast cancer risk based on phenotypic DNA damage repair capacity in peripheral blood B cells. RESEARCH SQUARE 2023:rs.3.rs-3093360. [PMID: 37461559 PMCID: PMC10350237 DOI: 10.21203/rs.3.rs-3093360/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Background Standard Breast Cancer (BC) risk prediction models based only on epidemiologic factors generally have quite poor performance, and there have been a number of risk scores proposed to improve them, such as AI-based mammographic information, polygenic risk scores and pathogenic variants. Even with these additions BC risk prediction performance is still at best moderate. In that decreased DNA repair capacity (DRC) is a major risk factor for development of cancer, we investigated the potential to improve BC risk prediction models by including a measured phenotypic DRC assay. Methods Using blood samples from the Breast Cancer Family Registry we assessed the performance of phenotypic markers of DRC in 46 matched pairs of individuals, one from each pair with BC (with blood drawn before BC diagnosis) and the other from controls matched by age and time since blood draw. We assessed DRC in thawed cryopreserved peripheral blood mononuclear cells (PBMCs) by measuring γ-H2AX yields (a marker for DNA double-strand breaks) at multiple times from 1 to 20 hrs after a radiation challenge. The studies were performed using surface markers to discriminate between different PBMC subtypes. Results The parameter F res , the residual damage signal in PBMC B cells at 20 hrs post challenge, was the strongest predictor of breast cancer with an AUC (Area Under receiver-operator Curve) of 0.89 [95% Confidence Interval: 0.84-0.93] and a BC status prediction accuracy of 0.80. To illustrate the combined use of a phenotypic predictor with standard BC predictors, we combined F res in B cells with age at blood draw, and found that the combination resulted in significantly greater BC predictive power (AUC of 0.97 [95% CI: 0.94-0.99]), an increase of 13 percentage points over age alone. Conclusions If replicated in larger studies, these results suggest that inclusion of a fingerstick-based phenotypic DRC blood test has the potential to markedly improve BC risk prediction.
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Affiliation(s)
| | | | | | - Hui-Chen Wu
- Columbia University Mailman School of Public Health
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Seke Etet PF, Vecchio L, Nwabo Kamdje AH, Mimche PN, Njamnshi AK, Adem A. Physiological and Environmental Factors Affecting Cancer Risk and Prognosis in Obesity. Semin Cancer Biol 2023:S1044-579X(23)00093-7. [PMID: 37301450 DOI: 10.1016/j.semcancer.2023.06.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 05/12/2023] [Accepted: 06/07/2023] [Indexed: 06/12/2023]
Abstract
Obesity results from a chronic excessive accumulation of adipose tissue due to a long-term imbalance between energy intake and expenditure. Available epidemiological and clinical data strongly support the links between obesity and certain cancers. Emerging clinical and experimental findings have improved our understanding of the roles of key players in obesity-associated carcinogenesis such as age, sex (menopause), genetic and epigenetic factors, gut microbiota and metabolic factors, body shape trajectory over life, dietary habits, and general lifestyle. It is now widely accepted that the cancer-obesity relationship depends on the site of cancer, the systemic inflammatory status, and microenvironmental parameters such as levels of inflammation and oxidative stress in transforming tissues. We hereby review recent advances in our understanding of cancer risk and prognosis in obesity with respect to these players. We highlight how the lack of their consideration contributed to the controversy over the link between obesity and cancer in early epidemiological studies. Finally, the lessons and challenges of interventions for weight loss and better cancer prognosis, and the mechanisms of weight gain in survivors are also discussed.
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Affiliation(s)
- Paul F Seke Etet
- Department of Physiological Sciences and Biochemistry, Faculty of Medicine and Biomedical Sciences, University of Garoua, Cameroon; Basic and Translational Research Unit, Center for Sustainable Health and Development, Garoua, Cameroon; Brain Research Africa Initiative (BRAIN) &Neuroscience Laboratory, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon.
| | - Lorella Vecchio
- Basic and Translational Research Unit, Center for Sustainable Health and Development, Garoua, Cameroon; Brain Research Africa Initiative (BRAIN) &Neuroscience Laboratory, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon
| | - Armel H Nwabo Kamdje
- Department of Physiological Sciences and Biochemistry, Faculty of Medicine and Biomedical Sciences, University of Garoua, Cameroon
| | - Patrice N Mimche
- Division of Microbiology and Immunology, Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT 84112, United States
| | - Alfred K Njamnshi
- Brain Research Africa Initiative (BRAIN) &Neuroscience Laboratory, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon
| | - Abdu Adem
- Department of Pharmacology and Therapeutics, College of Medicine and Health Sciences, Khalifa University, Abu Dhabi, United Arab Emirates.
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Bhardwaj P, Iyengar NM, Zahid H, Carter KM, Byun DJ, Choi MH, Sun Q, Savenkov O, Louka C, Liu C, Piloco P, Acosta M, Bareja R, Elemento O, Foronda M, Dow LE, Oshchepkova S, Giri DD, Pollak M, Zhou XK, Hopkins BD, Laughney AM, Frey MK, Ellenson LH, Morrow M, Spector JA, Cantley LC, Brown KA. Obesity promotes breast epithelium DNA damage in women carrying a germline mutation in BRCA1 or BRCA2. Sci Transl Med 2023; 15:eade1857. [PMID: 36812344 PMCID: PMC10557057 DOI: 10.1126/scitranslmed.ade1857] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 01/23/2023] [Indexed: 02/24/2023]
Abstract
Obesity, defined as a body mass index (BMI) ≥ 30, is an established risk factor for breast cancer among women in the general population after menopause. Whether elevated BMI is a risk factor for women with a germline mutation in BRCA1 or BRCA2 is less clear because of inconsistent findings from epidemiological studies and a lack of mechanistic studies in this population. Here, we show that DNA damage in normal breast epithelia of women carrying a BRCA mutation is positively correlated with BMI and with biomarkers of metabolic dysfunction. In addition, RNA sequencing showed obesity-associated alterations to the breast adipose microenvironment of BRCA mutation carriers, including activation of estrogen biosynthesis, which affected neighboring breast epithelial cells. In breast tissue explants cultured from women carrying a BRCA mutation, we found that blockade of estrogen biosynthesis or estrogen receptor activity decreased DNA damage. Additional obesity-associated factors, including leptin and insulin, increased DNA damage in human BRCA heterozygous epithelial cells, and inhibiting the signaling of these factors with a leptin-neutralizing antibody or PI3K inhibitor, respectively, decreased DNA damage. Furthermore, we show that increased adiposity was associated with mammary gland DNA damage and increased penetrance of mammary tumors in Brca1+/- mice. Overall, our results provide mechanistic evidence in support of a link between elevated BMI and breast cancer development in BRCA mutation carriers. This suggests that maintaining a lower body weight or pharmacologically targeting estrogen or metabolic dysfunction may reduce the risk of breast cancer in this population.
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Affiliation(s)
- Priya Bhardwaj
- Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Neil M. Iyengar
- Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Heba Zahid
- Department of Medical Laboratory Technology, College of Applied Medical Science, Taibah University, Medina 42353, Saudi Arabia
| | | | - Dong Jun Byun
- Center for Advanced Biomolecular Recognition, Korea Institute of Science and Technology, Seoul 02792, Korea
| | - Man Ho Choi
- Center for Advanced Biomolecular Recognition, Korea Institute of Science and Technology, Seoul 02792, Korea
| | - Qi Sun
- Computational Biology Service Unit of Life Sciences Core Laboratories Center, Cornell University, Ithaca, NY 14853, USA
| | - Oleksandr Savenkov
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY 10065, USA
| | - Charalambia Louka
- Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Catherine Liu
- Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Phoebe Piloco
- Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Monica Acosta
- Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Rohan Bareja
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Olivier Elemento
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Miguel Foronda
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Lukas E. Dow
- Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10065, USA
| | - Sofya Oshchepkova
- Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Dilip D. Giri
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Michael Pollak
- Departments of Medicine and Oncology, McGill University, Montreal, Canada
| | - Xi Kathy Zhou
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY 10065, USA
| | - Benjamin D. Hopkins
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ashley M. Laughney
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10065, USA
| | - Melissa K. Frey
- Department of Obstetrics and Gynecology, Weill Cornell Medicine, New York, NY 10065, USA
| | - Lora Hedrick Ellenson
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Monica Morrow
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jason A. Spector
- Laboratory of Bioregenerative Medicine and Surgery, Weill Cornell Medicine, New York, NY 10065, USA
| | - Lewis C. Cantley
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10065, USA
| | - Kristy A. Brown
- Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10065, USA
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Chowdhury SG, Misra S, Karmakar P. Understanding the Impact of Obesity on Ageing in the Radiance of DNA Metabolism. J Nutr Health Aging 2023; 27:314-328. [PMID: 37248755 DOI: 10.1007/s12603-023-1912-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 03/22/2023] [Indexed: 05/31/2023]
Abstract
Ageing is a multi-factorial phenomenon which is considered as a major risk factor for the development of neurodegeneration, osteoporosis, cardiovascular disease, dementia, cancer, and other chronic diseases. Phenotypically, ageing is related with a combination of molecular, cellular, and physiological levels like genomic and epi-genomic alterations, loss of proteostasis, deregulation of cellular and subcellular function and mitochondrial dysfunction. Though, no single molecular mechanism accounts for the functional decline of different organ systems in older humans but accumulation of DNA damage or mutations is a dominant theory which contributes largely to the development of ageing and age-related diseases. However, mechanistic, and hierarchical order of these features of ageing has not been clarified yet. Scientific community now focus on the effect of obesity on accelerated ageing process. Obesity is a complex chronic disease that affects multiple organs and tissues. It can not only lead to various health conditions such as diabetes, cancer, and cardiovascular disease but also can decrease life expectancy which shows similar phenotype of ageing. Higher loads of DNA damage were also observed in the genome of obese people. Thus, inability of DNA damage repair may contribute to both ageing and obesity apart from cancer predisposition. The present review emphasizes on the involvement of molecular phenomenon of DNA metabolism in development of obesity and how it accelerates ageing in mammals.
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Affiliation(s)
- S G Chowdhury
- Parimal Karmakar, Department of Life Science and Biotechnology, Jadavpur University, Kolkata-700032, India.
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Chromosomal Aberrations and Oxidative Stress in Psoriatic Patients with and without Metabolic Syndrome. Metabolites 2022; 12:metabo12080688. [PMID: 35893255 PMCID: PMC9331653 DOI: 10.3390/metabo12080688] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 07/12/2022] [Accepted: 07/22/2022] [Indexed: 02/01/2023] Open
Abstract
Psoriasis and metabolic syndrome (MetS), a common comorbidity of psoriasis, are associated with mild chronic systemic inflammation that increases oxidative stress and causes cell and tissue damage. At the cellular level, chromosomal and DNA damage has been documented, thus confirming their genotoxic effect. The main objective of our study was to show the genotoxic potential of chronic inflammation and determine whether the presence of both pathologies increases chromosomal damage compared to psoriasis alone and to evaluate whether there are correlations between selected parameters and chromosomal aberrations in patients with psoriasis and MetS psoriasis. Clinical examination (PASI score and MetS diagnostics according to National Cholesterol Education Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults; NCE/ATPIII criteria), biochemical analysis of blood samples (fasting glucose, total cholesterol, low density and high density lipoproteins; LDL, HDL, non-HDL, and triglycerides;TAG), DNA/RNA oxidative damage, and chromosomal aberration test were performed in 41 participants (20 patients with psoriasis without MetS and 21 with MetS and psoriasis). Our results showed that patients with psoriasis without metabolic syndrome (nonMetS) and psoriasis and MetS had a higher rate of chromosomal aberrations than the healthy population for which the limit of spontaneous, natural aberration was <2%. No significant differences in the aberration rate were found between the groups. However, a higher aberration rate (higher than 10%) and four numerical aberrations were documented only in the MetS group. We found no correlations between the number of chromosomal aberrations and the parameters tested except for the correlation between aberrations and HDL levels in nonMetS patients (rho 0.44; p < 0.02). Interestingly, in the MetS group, a higher number of chromosomal aberrations was documented in non-smokers compared to smokers. Data from our current study revealed an increased number of chromosomal aberrations in patients with psoriasis and MetS compared to the healthy population, especially in psoriasis with MetS, which could increase the genotoxic effect of inflammation and the risk of genomic instability, thus increasing the risk of carcinogenesis.
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