1
|
Gong S, Huo S, Luo Y, Li Y, Ma Y, Huang X, Hu M, Liu W, Zhang R, Cai X, Zhou L, Chen L, Ren Q, Zhang S, Zhu Y, Zhang X, Chen J, Wu J, Zhou X, Lin X, Han X, Ji L. A variation in SORBS1 is associated with type 2 diabetes and high-density lipoprotein cholesterol in Chinese population. Diabetes Metab Res Rev 2022; 38:e3524. [PMID: 35107206 DOI: 10.1002/dmrr.3524] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 12/05/2021] [Accepted: 12/25/2021] [Indexed: 11/09/2022]
Abstract
AIM Sorbin and SH3-domain-containing-1 (SORBS1) play important roles in insulin signalling and cytoskeleton regulation. Variants of the SORBS1 gene have been inconsistently reported to be associated with type 2 diabetes or diabetic kidney disease (DKD). METHODS Two independent case-control studies based on two randomized sampling cohorts (cohort 1, n = 3345; cohort 2, n = 2282) were used to confirm the association between rs2281939 of SORBS1 and impaired glucose regulation (IGR). An additional hospital-based cohort (cohort 3, n = 2135) and cohort 1 were used to investigate the association between rs2281939 and DKD. The phenotype of rare variants of SORBS1 was explored in 453 patients with early onset type 2 diabetes (diagnosed before 40 years of age, EOD). RESULTS The G allele was associated with type 2 diabetes (additive model: OR = 1.25, 95% CI [1.03-1.52], p = 0.022) in cohort 1, and IGR in cohort 2 (additive model: OR = 1.22, 95% CI [1.05-1.43], p = 0.01). We found that the G allele was also associated with HDL-c levels in women in both cohort 1 (p = 0.03) and 2 (p = 0.029) in the dominant model. The rare variant carriers also had lower HDL-c and LDL-c levels than non-carriers in patients with EOD. No association between rs2281939 or rare variants and DKD was observed. CONCLUSIONS The variants in the SORBS1 gene were associated with IGR and HDL-c levels but not with DKD in the Chinese Han population.
Collapse
Affiliation(s)
- Siqian Gong
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Shaofeng Huo
- Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, China
| | - Yingying Luo
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Yufeng Li
- Beijing Pinggu Hospital, Beijing, China
| | - Yumin Ma
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Xiuting Huang
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Mengdie Hu
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Wei Liu
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Rui Zhang
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Xiaoling Cai
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Lingli Zhou
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Ling Chen
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Qian Ren
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Simin Zhang
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Yu Zhu
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Xiuying Zhang
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Jing Chen
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Jing Wu
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Xianghai Zhou
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Xu Lin
- Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, China
- Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
| | - Xueyao Han
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| |
Collapse
|
2
|
Paththinige CS, Sirisena ND, Dissanayake V. Genetic determinants of inherited susceptibility to hypercholesterolemia - a comprehensive literature review. Lipids Health Dis 2017; 16:103. [PMID: 28577571 PMCID: PMC5457620 DOI: 10.1186/s12944-017-0488-4] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Accepted: 05/17/2017] [Indexed: 02/08/2023] Open
Abstract
Hypercholesterolemia is a strong determinant of mortality and morbidity associated with cardiovascular diseases and a major contributor to the global disease burden. Mutations in four genes (LDLR, APOB, PCSK9 and LDLRAP1) account for the majority of cases with familial hypercholesterolemia. However, a substantial proportion of adults with hypercholesterolemia do not have a mutation in any of these four genes. This indicates the probability of having other genes with a causative or contributory role in the pathogenesis of hypercholesterolemia and suggests a polygenic inheritance of this condition. Here in, we review the recent evidence of association of the genetic variants with hypercholesterolemia and the three lipid traits; total cholesterol (TC), HDL-cholesterol (HDL-C) and LDL-cholesterol (LDL-C), their biological pathways and the associated pathogenetic mechanisms. Nearly 80 genes involved in lipid metabolism (encoding structural components of lipoproteins, lipoprotein receptors and related proteins, enzymes, lipid transporters, lipid transfer proteins, and activators or inhibitors of protein function and gene transcription) with single nucleotide variants (SNVs) that are recognized to be associated with hypercholesterolemia and serum lipid traits in genome-wide association studies and candidate gene studies were identified. In addition, genome-wide association studies in different populations have identified SNVs associated with TC, HDL-C and LDL-C in nearly 120 genes within or in the vicinity of the genes that are not known to be involved in lipid metabolism. Over 90% of the SNVs in both these groups are located outside the coding regions of the genes. These findings indicates that there might be a considerable number of unrecognized processes and mechanisms of lipid homeostasis, which when disrupted, would lead to hypercholesterolemia. Knowledge of these molecular pathways will enable the discovery of novel treatment and preventive methods as well as identify the biochemical and molecular markers for the risk prediction and early detection of this common, yet potentially debilitating condition.
Collapse
Affiliation(s)
- C S Paththinige
- Human Genetics Unit, Faculty of Medicine, University of Colombo, Kynsey Road, Colombo, 00800, Sri Lanka.
| | - N D Sirisena
- Human Genetics Unit, Faculty of Medicine, University of Colombo, Kynsey Road, Colombo, 00800, Sri Lanka
| | - Vhw Dissanayake
- Human Genetics Unit, Faculty of Medicine, University of Colombo, Kynsey Road, Colombo, 00800, Sri Lanka
| |
Collapse
|
3
|
Koskinen S, Kampman O, Solismaa A, Lyytikäinen LP, Seppälä N, Viikki M, Hämäläinen M, Moilanen E, Mononen N, Lehtimäki T, Leinonen E. INSIG2 polymorphism and weight gain, dyslipidemia and serum adiponectin in Finnish patients with schizophrenia treated with clozapine. Pharmacogenomics 2016; 17:1987-1997. [DOI: 10.2217/pgs-2016-0117] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: To investigate INSIG2's association with obesity, weight change and serum lipid profile during clozapine treatment. Materials & methods: Subjects with schizophrenia (n = 190) were genotyped, identifying seven SNPs. Genetic risk scores (GRSs) were calculated to adiponectin, high-density lipoprotein cholesterol, triglycerides and weight gain. Results: In the model for weight gain, SNPs rs12151787, rs17047733 and rs10490626 were selected. Explanatory variables were BMI (p = 5.05 × 10-5), age (p = 0.003) and GRS (p = 2.81 × 10-5, p = 0.0002 after permutation). No GRS resulted for adiponectin or high-density lipoprotein cholesterol. Rs2161829 and rs10490620 were selected for triglycerides; this GRS was insignificant after permutation. Conclusion: INSIG2 plays a role in weight gain and obesity during clozapine treatment.
Collapse
Affiliation(s)
- Suvi Koskinen
- School of Medicine, University of Tampere, 33014 Tampere, Finland
| | - Olli Kampman
- School of Medicine, University of Tampere, 33014 Tampere, Finland
- Department of Psychiatry, Seinäjoki Hospital District, Seinäjoki, Finland
| | - Anssi Solismaa
- School of Medicine, University of Tampere, 33014 Tampere, Finland
- Department of Psychiatry, Seinäjoki Hospital District, Seinäjoki, Finland
| | - Leo-Pekka Lyytikäinen
- School of Medicine, University of Tampere, 33014 Tampere, Finland
- University of Tampere, School of Medicine, Department of Clinical Chemistry and Fimlab Laboratories, Tampere, Finland
| | - Niko Seppälä
- Department of Psychiatry, Tampere University Hospital, Tampere, Finland
| | - Merja Viikki
- School of Medicine, University of Tampere, 33014 Tampere, Finland
- Tampere Mental Health Centre, Tampere, Finland
| | - Mari Hämäläinen
- The Immunopharmacology Research Group, School of Medicine & Tampere University Hospital, University of Tampere, Tampere, Finland
| | - Eeva Moilanen
- The Immunopharmacology Research Group, School of Medicine & Tampere University Hospital, University of Tampere, Tampere, Finland
| | - Nina Mononen
- University of Tampere, School of Medicine, Department of Clinical Chemistry and Fimlab Laboratories, Tampere, Finland
| | - Terho Lehtimäki
- School of Medicine, University of Tampere, 33014 Tampere, Finland
- University of Tampere, School of Medicine, Department of Clinical Chemistry and Fimlab Laboratories, Tampere, Finland
| | - Esa Leinonen
- School of Medicine, University of Tampere, 33014 Tampere, Finland
- Department of Psychiatry, Tampere University Hospital, Tampere, Finland
| |
Collapse
|
4
|
Roqueta-Rivera M, Esquejo RM, Phelan PE, Sandor K, Daniel B, Foufelle F, Ding J, Li X, Khorasanizadeh S, Osborne TF. SETDB2 Links Glucocorticoid to Lipid Metabolism through Insig2a Regulation. Cell Metab 2016; 24:474-484. [PMID: 27568546 PMCID: PMC5023502 DOI: 10.1016/j.cmet.2016.07.025] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Revised: 06/28/2016] [Accepted: 07/28/2016] [Indexed: 10/21/2022]
Abstract
Transcriptional and chromatin regulations mediate the liver response to nutrient availability. The role of chromatin factors involved in hormonal regulation in response to fasting is not fully understood. We have identified SETDB2, a glucocorticoid-induced putative epigenetic modifier, as a positive regulator of GR-mediated gene activation in liver. Insig2a increases during fasting to limit lipid synthesis, but the mechanism of induction is unknown. We show Insig2a induction is GR-SETDB2 dependent. SETDB2 facilitates GR chromatin enrichment and is key to glucocorticoid-dependent enhancer-promoter interactions. INSIG2 is a negative regulator of SREBP, and acute glucocorticoid treatment decreased active SREBP during refeeding or in livers of Ob/Ob mice, both systems of elevated SREBP-1c-driven lipogenesis. Knockdown of SETDB2 or INSIG2 reversed the inhibition of SREBP processing. Overall, these studies identify a GR-SETDB2 regulatory axis of hepatic transcriptional reprogramming and identify SETDB2 as a potential target for metabolic disorders with aberrant glucocorticoid actions.
Collapse
Affiliation(s)
- Manuel Roqueta-Rivera
- Sanford Burnham Prebys Medical Discovery Institute, 6400 Sanger Road, Orlando, FL 32827, USA
| | - Ryan M Esquejo
- Sanford Burnham Prebys Medical Discovery Institute, 6400 Sanger Road, Orlando, FL 32827, USA
| | - Peter E Phelan
- Sanford Burnham Prebys Medical Discovery Institute, 6400 Sanger Road, Orlando, FL 32827, USA
| | - Katalin Sandor
- Sanford Burnham Prebys Medical Discovery Institute, 6400 Sanger Road, Orlando, FL 32827, USA
| | - Bence Daniel
- Sanford Burnham Prebys Medical Discovery Institute, 6400 Sanger Road, Orlando, FL 32827, USA
| | - Fabienne Foufelle
- INSERM, UMR-S 872, Centre de Recherches des Cordeliers, 75006 Paris, France; Université Pierre et Marie Curie-Paris, 75005 Paris, France
| | - Jun Ding
- Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, 6900 Lake Nona Boulevard, Orlando, FL 32827, USA
| | - Xiaoman Li
- Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, 6900 Lake Nona Boulevard, Orlando, FL 32827, USA
| | - Sepideh Khorasanizadeh
- Sanford Burnham Prebys Medical Discovery Institute, 6400 Sanger Road, Orlando, FL 32827, USA
| | - Timothy F Osborne
- Sanford Burnham Prebys Medical Discovery Institute, 6400 Sanger Road, Orlando, FL 32827, USA.
| |
Collapse
|
5
|
Abstract
PURPOSE OF REVIEW To summarize recent findings from genome-wide association studies (GWAS), whole-exome sequencing of patients with familial hypercholesterolemia and 'exome chip' studies pointing to novel genes in LDL metabolism. RECENT FINDINGS The genetic loci for ATP-binding cassette transporters G5 and G8, Niemann-Pick C1-Like protein 1, sortilin-1, ABO blood-group glycosyltransferases, myosin regulatory light chain-interacting protein and cholesterol 7α-hydroxylase have all consistently been associated with LDL cholesterol levels and/or coronary artery disease in GWAS. Whole-exome sequencing and 'exome chip' studies have additionally suggested several novel genes in LDL metabolism including insulin-induced gene 2, signal transducing adaptor family member 1, lysosomal acid lipase A, patatin-like phospholipase domain-containing protein 5 and transmembrane 6 superfamily member 2. Most of these findings still require independent replications and/or functional studies to confirm the exact role in LDL metabolism and the clinical implications for human health. SUMMARY GWAS, exome sequencing studies, and recently 'exome chip' studies have suggested several novel genes with effects on LDL cholesterol. Novel genes in LDL metabolism will improve our understanding of mechanisms in LDL metabolism, and may lead to the identification of new drug targets to reduce LDL cholesterol levels.
Collapse
Affiliation(s)
- Mette Christoffersen
- aDepartment of Clinical Biochemistry, Section for Molecular Genetics, Rigshospitalet, Copenhagen University Hospital bFaculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | |
Collapse
|
6
|
Kaulfers AM, Deka R, Dolan L, Martin LJ. Association of INSIG2 polymorphism with overweight and LDL in children. PLoS One 2015; 10:e0116340. [PMID: 25607990 PMCID: PMC4301876 DOI: 10.1371/journal.pone.0116340] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2014] [Accepted: 12/08/2014] [Indexed: 11/19/2022] Open
Abstract
Background Dyslipidemia and overweight are common issues in children. Identifying genetic markers of risk could lead to targeted interventions. A polymorphism of SNP rs7566605 near insulin-induced gene 2 (INSIG2) has been identified as a strong candidate gene for obesity, through its feedback control of lipid synthesis. Objective To identify polymorphisms in INSIG2 which are associated with overweight (BMI ≥ 85% for age) and dyslipidemia in children. Hypothesis: The C allele of rs7566605 would be significantly associated with BMI and LDL. Design/Methods We genotyped 15 SNPs in/near INSIG2 in 1,058 healthy children (53% non-Hispanic white (NHW), 37% overweight) participating in a school based study. Genotype was compared with BMI and lipid markers, adjusting for age, gender, and puberty. Results We found a significant association between the SNP rs12464355 and LDL in NHW children, p < 0.001. The G allele is protective (lower LDL). A different SNP was associated with overweight in NHW: rs17047757. SNP rs7566605 was not associated with overweight or lipid levels. Conclusions We identified novel genetic associations between INSIG2 and both overweight and LDL in NHW children. Polymorphisms in INSIG2 may be important in the development of obesity through its effects on lipid regulation.
Collapse
Affiliation(s)
- Anne-Marie Kaulfers
- Division of Pediatric Endocrinology, University of South Alabama, Mobile, Alabama, United States of America
- * E-mail:
| | - Ranjan Deka
- Department of Environmental Health, University of Cincinnati School of Medicine, Cincinnati, Ohio, United States of America
| | - Lawrence Dolan
- Division of Endocrinology, Cincinnati Children’s Hospital Medical Center and University of Cincinnati School of Medicine, Cincinnati, Ohio, United States of America
| | - Lisa J. Martin
- Divisions of Biostatistics and Epidemiology, Division of Human Genetics, Cincinnati Children’s Hospital Medical Center and University of Cincinnati School of Medicine, Cincinnati, Ohio, United States of America
| |
Collapse
|
7
|
Baylin A, Deka R, Tuitele J, Viali S, Weeks DE, McGarvey ST. INSIG2 variants, dietary patterns and metabolic risk in Samoa. Eur J Clin Nutr 2013; 67:101-7. [PMID: 22968099 PMCID: PMC3634362 DOI: 10.1038/ejcn.2012.124] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2012] [Revised: 08/16/2012] [Accepted: 08/18/2012] [Indexed: 12/11/2022]
Abstract
BACKGROUND/OBJECTIVES Association of insulin-induced gene 2 (INSIG2) variants with obesity has been confirmed in several but not all follow-up studies. Differences in environmental factors across populations may mask some genetic associations and therefore gene-environment interactions should be explored. We hypothesized that the association between dietary patterns and components of the metabolic syndrome could be modified by INSIG2 variants. SUBJECTS/METHODS We conducted a longitudinal study of adiposity and cardiovascular disease risk among 427 and 290 adults from Samoa and American Samoa (1990-1995). Principal component analysis on food items from a validated food frequency questionnaire was used to identify neotraditional and modern dietary patterns. We explored gene-dietary pattern interactions with the INSIG2 variants rs9308762 and rs7566605. RESULTS Results for American Samoans were mostly nonsignificant. In Samoa, the neotraditional dietary pattern was associated with lower triglycerides, body mass index (BMI), waist circumference, systolic and diastolic blood pressure and fasting glucose (all P-for-trend<0.05). The modern pattern was significantly associated with higher triglycerides, BMI, waist circumference and lower high-density lipoprotein-cholesterol (all P-for-trend<0.05). A significant interaction for triglycerides was found between the modern pattern and the rs9308762 polymorphism (P=0.04). Those from Samoa consuming the modern pattern have higher triglycerides if they are homozygous for the rs9308762 C allele. CONCLUSIONS The common INSIG2 variant rs9308762 was associated with poorer metabolic control and a greater sensitivity of trigylcerides to a modern dietary pattern. Environmental factors need to be taken into account when assessing genetic associations across and within populations.
Collapse
Affiliation(s)
- A Baylin
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
| | | | | | | | | | | |
Collapse
|