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Gao J, Shen X, Ko R, Huang C, Shen C. Cognitive Process of Psoriasis and Its Comorbidities: From Epidemiology to Genetics. Front Genet 2021; 12:735124. [PMID: 34899832 PMCID: PMC8662384 DOI: 10.3389/fgene.2021.735124] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 10/25/2021] [Indexed: 12/16/2022] Open
Abstract
Psoriasis (PsO) is a chronic inflammatory skin disease that affects approximately 2% of the population all over the world. Comorbidities of PsO have increasingly garnered more interest in the past decades. Compared with the normal population, the incidences of comorbidities are higher among patients with PsO. In the last 20 years, researchers have focused on studying the genetic components of PsO, and genetic associations between PsO and its comorbidities were elucidated. This review provides an in-depth understanding and summarization of the connection between PsO and its comorbidities from the perspectives of epidemiology and genetics. Further understanding of PsO and its comorbidities will promote research on the pathogenesis, drug development, novel therapy methods, and personalized and precision treatment of PsO and its comorbidities.
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Affiliation(s)
- Jing Gao
- Department of Dermatology, the Second Affiliated Hospital, Anhui Medical University, Hefei, China
| | - Xue Shen
- Department of Dermatology, Chengdu Second People's Hospital, Chengdu, China
| | - Randy Ko
- Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Cong Huang
- Department of Dermatology, Peking University Shenzhen Hospital, Shenzhen, China.,Shenzhen Key Laboratory for Translational Medicine of Dermatology, Shenzhen Peking University-the Hong Kong University of Science and Technology Medical Center, Shenzhen, China
| | - Changbing Shen
- Department of Dermatology, Peking University Shenzhen Hospital, Shenzhen, China.,Shenzhen Key Laboratory for Translational Medicine of Dermatology, Shenzhen Peking University-the Hong Kong University of Science and Technology Medical Center, Shenzhen, China
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Fu SC, Wang P, Qi MX, Peng JP, Lin XQ, Zhang CY, Zhao GX, He GH. The associations of TNF-α gene polymorphisms with bone mineral density and risk of osteoporosis: A meta-analysis. Int J Rheum Dis 2019; 22:1619-1629. [PMID: 31273943 DOI: 10.1111/1756-185x.13647] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2018] [Revised: 05/09/2019] [Accepted: 06/03/2019] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Fracture is a common consequence of osteoporosis and is associated with high morbidity and mortality. Recently, increasing evidence has suggested that polymorphisms in tumor necrosis factor-α (TNF-α) gene were associated with osteoporosis risk and bone mineral density (BMD), but results remain conflicting. We herein performed a meta-analysis based on evidence currently available from the literature to make a more precise estimation of these relationships. METHODS The PubMed, EMBASE, Cochrane Library, CNKI (China National Knowledge Infrastructure) and Wan Fang databases were searched for eligible studies. Articles meeting the inclusion criteria were comprehensively reviewed and all available data were accumulated. The pooled odds ratios (ORs) or mean differences (MDs) and corresponding 95% confidence intervals (CIs) were applied to assess the strength of the relationships. RESULTS A total of 15 studies involving 5273 subjects were included in our meta-analysis. The GG genotype of TNF-α G308A was associated with an increased risk of osteoporosis under a mutant model (GG vs GA+AA: OR = 0.63, 95% CI: 0.51-0.77, P < 0.0001, I2 = 31%). Additionally, we also observed a significant association between G308A polymorphism and BMD of lumbar spine (AA vs GG: P = 0.01, I2 = 53%). However, TNF-α T1031C, C857T and C863A polymorphisms had no obvious impacts on osteoporosis risk. CONCLUSIONS The present meta-analysis demonstrated that TNF-α G308A polymorphism may act as a potential candidate biomarker for screening, diagnosis, and treatment of osteoporosis, which will help improve individualized therapy of osteoporosis patients in clinics.
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Affiliation(s)
- Suo-Chao Fu
- Department of Orthopaedics, Guangzhou General Hospital of PLA, Guangzhou, China
| | - Ping Wang
- Department of Pharmacy, The 920th Hospital of PLA Joint Service Security Forces, Kunming, China.,Kunming Medical University, Kunming, China
| | - Ming-Xing Qi
- Department of Pharmacy, Baoshan People's Hospital, Baoshan, China
| | - Jing-Ping Peng
- Department of Cardio-Thoracic Surgery, The 920th Hospital of PLA Joint Service Security Forces, Kunming, China
| | - Xiao-Qian Lin
- Department of Pharmacy, The 920th Hospital of PLA Joint Service Security Forces, Kunming, China
| | - Cai-Yun Zhang
- Department of Pharmacy, The 920th Hospital of PLA Joint Service Security Forces, Kunming, China.,Kunming Medical University, Kunming, China
| | - Gui-Xin Zhao
- Department of Pharmacy, The 920th Hospital of PLA Joint Service Security Forces, Kunming, China.,Kunming Medical University, Kunming, China
| | - Gong-Hao He
- Department of Pharmacy, The 920th Hospital of PLA Joint Service Security Forces, Kunming, China
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Ran D, Cai M, Zhang X. Genetics of psoriasis: a basis for precision medicine. PRECISION CLINICAL MEDICINE 2019; 2:120-130. [PMID: 35693758 PMCID: PMC9026189 DOI: 10.1093/pcmedi/pbz011] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 05/25/2019] [Accepted: 05/29/2019] [Indexed: 12/24/2022] Open
Abstract
Psoriasis is an inflammatory skin disease with a background of polygenic inheritance.
Both environmental and genetic factors are involved in the etiology of the disease. In the
last two decades, numerous studies have been conducted through linkage analysis,
genome-wide association study (GWAS), and direct sequencing to explore the role of genetic
variation in disease pathogenesis and progression. To date, >80 psoriasis
susceptibility genes have been identified, including HLA-Cw6,
IL12B, IL23R, and LCE3B/3C. Some
genetic markers have been applied in disease prediction, clinical diagnosis, treatment,
and new drug development, which could further explain the pathogenesis of psoriasis and
promote the development of precision medicine. This review summarizes related research on
genetic variation in psoriasis and explores implications of the findings in clinical
application and the promotion of a personalized medicine project.
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Affiliation(s)
- Delin Ran
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
| | - Minglong Cai
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
| | - Xuejun Zhang
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, China
- Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, China
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Liu G, Zhang Y, Wang L, Xu J, Chen X, Bao Y, Hu Y, Jin S, Tian R, Bai W, Zhou W, Wang T, Han Z, Zong J, Jiang Q. Alzheimer's Disease rs11767557 Variant Regulates EPHA1 Gene Expression Specifically in Human Whole Blood. J Alzheimers Dis 2019; 61:1077-1088. [PMID: 29332039 DOI: 10.3233/jad-170468] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Large-scale genome-wide association studies have reported EPHA1 rs11767557 variant to be associated with Alzheimer's disease (AD) risk in the European population. However, it is still unclear how this variant functionally contributes to the underlying disease pathogenesis. The rs11767557 variant is located approximately 3 kb upstream of EPHA1 gene. We think that rs11767557 may modify the expression of nearby genes such as EPHA1 and further cause AD risk. Until now, the potential association between rs11767557 and the expression of nearby genes has not been reported in previous studies. Here, we evaluate the potential expression association between rs11767557 and EPHA1 using multiple large-scale eQTLs datasets in human brain tissues and the whole blood. The results show that rs11767557 variant could significantly regulate EPHA1 gene expression specifically in human whole blood. These findings may further provide important supplementary information about the regulating mechanisms of rs11767557 variant in AD risk.
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Affiliation(s)
- Guiyou Liu
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Yan Zhang
- Department of Pathology, The Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Longcai Wang
- Department of Anesthesiology, The Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Jianyong Xu
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, China
| | - Xiaoyun Chen
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, China
| | - Yunjuan Bao
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, China
| | - Yang Hu
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Shuilin Jin
- Department of Mathematics, Harbin Institute of Technology, Harbin, China
| | - Rui Tian
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Weiyang Bai
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Wenyang Zhou
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Tao Wang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Zhifa Han
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Jian Zong
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Qinghua Jiang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
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The forty years of medical genetics in China. J Genet Genomics 2018; 45:569-582. [PMID: 30459119 DOI: 10.1016/j.jgg.2018.10.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 10/31/2018] [Indexed: 02/06/2023]
Abstract
Medical genetics is the newest cutting-edge discipline that focuses on solving medical problems using genetics knowledge and methods. In China, medical genetics research activities initiated from a poor inner basis but a prosperous outer environment. During the 40 years of reform and opening-up policy, Chinese scientists contributed significantly in the field of medical genetics, garnering considerable attention worldwide. In this review, we highlight the significant findings and/or results discovered by Chinese scientists in monogenic diseases, complex diseases, cancer, genetic diagnosis, as well as gene manipulation and gene therapy. Due to these achievements, China is widely recognized to be at the forefront of medical genetics research and development. However, the significant progress and development that has been achieved could not have been accomplished without sufficient funding and a well-constructed logistics network. The successful implementation of translational and precise medicine sourced from medical genetics will depend on an open ethics policy and intellectual property protection, along with strong support at the national industry level.
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Liu BC, Ji G. Sparking Thinking: Studying Modern Precision Medicine Will Accelerate the Progression of Traditional Chinese Medicine Patterns. J Altern Complement Med 2017; 23:502-504. [DOI: 10.1089/acm.2016.0383] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Affiliation(s)
- Bao-Cheng Liu
- Shanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Guang Ji
- Institute of Digestive Disease, China-Canada Center of Research for Digestive Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Lam SM, Wang Y, Li B, Du J, Shui G. Metabolomics through the lens of precision cardiovascular medicine. J Genet Genomics 2017; 44:127-138. [PMID: 28325553 DOI: 10.1016/j.jgg.2017.02.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Revised: 02/21/2017] [Accepted: 02/27/2017] [Indexed: 12/14/2022]
Abstract
Metabolomics, which targets at the extensive characterization and quantitation of global metabolites from both endogenous and exogenous sources, has emerged as a novel technological avenue to advance the field of precision medicine principally driven by genomics-oriented approaches. In particular, metabolomics has revealed the cardinal roles that the environment exerts in driving the progression of major diseases threatening public health. Herein, the existent and potential applications of metabolomics in two key areas of precision cardiovascular medicine will be critically discussed: 1) the use of metabolomics in unveiling novel disease biomarkers and pathological pathways; 2) the contribution of metabolomics in cardiovascular drug development. Major issues concerning the statistical handling of big data generated by metabolomics, as well as its interpretation, will be briefly addressed. Finally, the need for integration of various omics branches and adopting a multi-omics approach to precision medicine will be discussed.
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Affiliation(s)
- Sin Man Lam
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yuan Wang
- Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Collaborative Innovation Center for Cardiovascular Disorders, Beijing Institute of Heart, Lung & Blood Vessel Disease, Beijing 100029, China
| | - Bowen Li
- Lipidall Technologies Company Limited, Changzhou 213000, China
| | - Jie Du
- Beijing Anzhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Collaborative Innovation Center for Cardiovascular Disorders, Beijing Institute of Heart, Lung & Blood Vessel Disease, Beijing 100029, China
| | - Guanghou Shui
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
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