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Prone-Olazabal D, Davies I, González-Galarza FF. Metabolic Syndrome: An Overview on Its Genetic Associations and Gene-Diet Interactions. Metab Syndr Relat Disord 2023; 21:545-560. [PMID: 37816229 DOI: 10.1089/met.2023.0125] [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] [Indexed: 10/12/2023] Open
Abstract
Metabolic syndrome (MetS) is a cluster of cardiometabolic risk factors that includes central obesity, hyperglycemia, hypertension, and dyslipidemias and whose inter-related occurrence may increase the odds of developing type 2 diabetes and cardiovascular diseases. MetS has become one of the most studied conditions, nevertheless, due to its complex etiology, this has not been fully elucidated. Recent evidence describes that both genetic and environmental factors play an important role on its development. With the advent of genomic-wide association studies, single nucleotide polymorphisms (SNPs) have gained special importance. In this review, we present an update of the genetics surrounding MetS as a single entity as well as its corresponding risk factors, considering SNPs and gene-diet interactions related to cardiometabolic markers. In this study, we focus on the conceptual aspects, diagnostic criteria, as well as the role of genetics, particularly on SNPs and polygenic risk scores (PRS) for interindividual analysis. In addition, this review highlights future perspectives of personalized nutrition with regard to the approach of MetS and how individualized multiomics approaches could improve the current outlook.
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Affiliation(s)
- Denisse Prone-Olazabal
- Postgraduate Department, Faculty of Medicine, Autonomous University of Coahuila, Torreon, Mexico
| | - Ian Davies
- Research Institute of Sport and Exercise Science, The Institute for Health Research, Liverpool John Moores University, Liverpool, United Kingdom
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Ji LD, Xu ZF, Tang NLS, Xu J. Natural Selection of ATP2B1 Underlies Susceptibility to Essential Hypertension. Front Genet 2021; 12:628516. [PMID: 33777100 PMCID: PMC7990779 DOI: 10.3389/fgene.2021.628516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 02/17/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Lin-Dan Ji
- Department of Biochemistry, School of Medicine, Ningbo University, Ningbo, China.,Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China
| | - Zhi-Feng Xu
- Department of Cardiology, Ningbo No. 7 Hospital, Ningbo, China
| | - Nelson L S Tang
- Department of Chemical Pathology, Faculty of Medicine, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China.,KIZ-CUHK Joint Laboratory of Bio-resources and Molecular Research of Common Diseases, The Chinese University of Hong Kong, Hong Kong, China
| | - Jin Xu
- Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China.,Department of Preventive Medicine, School of Medicine, Ningbo University, Ningbo, China
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Abstract
Evolutionary processes, including mutation, migration and natural selection, have influenced the prevalence and distribution of various disorders in humans. However, despite a few well-known examples, such as the APOL1 variants - which have undergone positive genetic selection for their ability to confer resistance to Trypanosoma brucei infection but confer a higher risk of chronic kidney disease - little is known about the effects of evolutionary processes that have shaped genetic variation on kidney disease. An understanding of basic concepts in evolutionary genetics provides an opportunity to consider how findings from ancient and archaic genomes could inform our knowledge of evolution and provide insights into how population migration and genetic admixture have shaped the current distribution and landscape of human kidney-associated diseases. Differences in exposures to infectious agents, environmental toxins, dietary components and climate also have the potential to influence the evolutionary genetics of kidneys. Of note, selective pressure on loci associated with kidney disease is often from non-kidney diseases, and thus it is important to understand how the link between genome-wide selected loci and kidney disease occurs in relation to secondary nephropathies.
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Ji LD, Tang NLS, Xu ZF, Xu J. Genes Regulate Blood Pressure, but "Environments" Cause Hypertension. Front Genet 2020; 11:580443. [PMID: 33240327 PMCID: PMC7680891 DOI: 10.3389/fgene.2020.580443] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 10/23/2020] [Indexed: 12/26/2022] Open
Affiliation(s)
- Lin-Dan Ji
- Department of Biochemistry, School of Medicine, Ningbo University, Ningbo, China.,Zhejiang Key Laboratory of Pathophysiology, Medical School of Ningbo University, Ningbo, China
| | - Nelson L S Tang
- Department of Chemical Pathology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.,Laboratory for Genetics of Disease Susceptibility, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Zhi-Feng Xu
- Department of Cardiology, Ningbo No. 7 Hospital, Ningbo, China
| | - Jin Xu
- Zhejiang Key Laboratory of Pathophysiology, Medical School of Ningbo University, Ningbo, China.,Department of Preventive Medicine, School of Medicine, Ningbo University, Ningbo, China
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Ji L, Wu D, Xie H, Yao B, Chen Y, Irwin DM, Huang D, Xu J, Tang NLS, Zhang Y. Ambient Temperature is A Strong Selective Factor Influencing Human Development and Immunity. GENOMICS PROTEOMICS & BIOINFORMATICS 2020; 18:489-500. [PMID: 32822870 PMCID: PMC8377383 DOI: 10.1016/j.gpb.2019.11.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2019] [Revised: 08/22/2019] [Accepted: 11/29/2019] [Indexed: 01/22/2023]
Abstract
Solar energy, which is essential for the origin and evolution of all life forms on Earth, can be objectively recorded through attributes such as climatic ambient temperature (CAT), ultraviolet radiation (UVR), and sunlight duration (SD). These attributes have specific geographical variations and may cause different adaptation traits. However, the adaptation profile of each attribute and the selective role of solar energy as a whole during human evolution remain elusive. Here, we performed a genome-wide adaptation study with respect to CAT, UVR, and SD using the Human Genome Diversity Project-Centre Etude Polymorphism Humain (HGDP-CEPH) panel data. We singled out CAT as the most important driving force with the highest number of adaptive loci (6 SNPs at the genome-wide 1 × 10−7 level; 401 at the suggestive 1 × 10−5 level). Five of the six genome-wide significant adaptation SNPs were successfully replicated in an independent Chinese population (N = 1395). The corresponding 316 CAT adaptation genes were mostly involved in development and immunity. In addition, 265 (84%) genes were related to at least one genome-wide association study (GWAS)-mapped human trait, being significantly enriched in anthropometric loci such as those associated with body mass index (χ2; P < 0.005), immunity, metabolic syndrome, and cancer (χ2; P < 0.05). For these adaptive SNPs, balancing selection was evident in Euro-Asians, whereas obvious positive and/or purifying selection was observed in Africans. Taken together, our study indicates that CAT is the most important attribute of solar energy that has driven genetic adaptation in development and immunity among global human populations. It also supports the non-neutral hypothesis for the origin of disease-predisposition alleles in common diseases.
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Affiliation(s)
- Lindan Ji
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Department of Biochemistry, Medical School of Ningbo University, Ningbo 315211, China
| | - Dongdong Wu
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Haibing Xie
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Binbin Yao
- Department of Preventive Medicine, Medical School of Ningbo University, Ningbo 315211, China
| | - Yanming Chen
- Department of Preventive Medicine, Medical School of Ningbo University, Ningbo 315211, China
| | - David M Irwin
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A8, Canada; Banting and Best Diabetes Centre, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Dan Huang
- Department of Chemical Pathology, and Laboratory for Genetics of Disease Susceptibility, Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming 650223, China
| | - Jin Xu
- Department of Preventive Medicine, Medical School of Ningbo University, Ningbo 315211, China.
| | - Nelson L S Tang
- Department of Chemical Pathology, and Laboratory for Genetics of Disease Susceptibility, Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming 650223, China.
| | - Yaping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Laboratory for Conservation and Utilization of Bio-resource, Yunnan University, Kunming 650091, China.
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