1
|
Bandesh K, Freeland K, Traurig M, Hanson RL, Bogardus C, Piaggi P, Baier LJ. Pleiotropic effects of an eQTL in the CELSR2/PSRC1/SORT1 cluster that associates with LDL-C and resting metabolic rate. J Clin Endocrinol Metab 2024:dgae498. [PMID: 39018443 DOI: 10.1210/clinem/dgae498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 06/17/2024] [Accepted: 07/16/2024] [Indexed: 07/19/2024]
Abstract
CONTEXT The locus CELSR2-PSRC1-SORT1, a primary genetic signal for lipids, has recently been implicated in different metabolic processes. Our investigation identified its association with energy metabolism. OBJECTIVE To determine biological mechanisms that govern diverse functions of this locus. METHODS Genotypes for 491,265 variants in 7,000 clinically characterized American Indians were previously determined using a custom-designed array specific for this longitudinally studied American Indian population. Among the genotyped individuals, 5,205 had measures of fasting lipid levels and 509 had measures of resting metabolic rate (RMR) and substrate oxidation rate assessed through indirect calorimetry. A genome-wide association study (GWAS) for LDL-C levels identified a variant in CELSR2 and the molecular impact of this variant on gene expression was assessed in skeletal muscle biopsies from 207 participants, followed by functional validation in mouse myoblasts using a luciferase assay. RESULTS A GWAS in American Indians identified rs12740374 in CELSR2 as the top signal for LDL-C levels (P = 1 × 10-22); further analysis of this variant identified an unexpected correlation with reduced RMR (effect = -44.3 kcal/day/minor-allele) and carbohydrate oxidation rate (effect = -5.21 mg/hour/kg-EMBS). Tagged variants showed a distinct linkage disequilibrium architecture in American Indians, highlighting a potential functional variant, rs6670347 (minor-allele frequency = 0.20). Positioned in the glucocorticoid receptor's core binding motif, rs6670347 is part of a skeletal muscle-specific enhancer. Human skeletal muscle transcriptome analysis showed CELSR2 as the most differentially expressed gene (P = 1.9 × 10-7), with the RMR-lowering minor allele elevating gene expression. Experiments in mouse myoblasts confirmed enhancer-based regulation of CELSR2 expression, dependent on glucocorticoids. Rs6670347 also associated with increased oxidative phosphorylation gene expression; CELSR2 as a regulator of these genes, suggests potential influence on energy metabolism through muscle oxidative capacity. CONCLUSION Variants in the CELSR2/PSRC1/SORT1 locus exhibit tissue-specific effects on metabolic traits, with an independent role in muscle metabolism through glucocorticoid signaling.
Collapse
Affiliation(s)
- Khushdeep Bandesh
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Kendrick Freeland
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Michael Traurig
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Robert L Hanson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Clifton Bogardus
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Paolo Piaggi
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| | - Leslie J Baier
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA
| |
Collapse
|
2
|
Zhang Y, Deng S, Zhong H, Liu M, Ding J, Geng R, Tu Q. Exploration and Clinical Verification of the Blood Co-Expression Genes of Type 2 Diabetes Mellitus and Mild Cognitive Dysfunction in the Elderly. Biomedicines 2023; 11:biomedicines11040993. [PMID: 37189611 DOI: 10.3390/biomedicines11040993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 02/17/2023] [Accepted: 03/07/2023] [Indexed: 05/17/2023] Open
Abstract
With the development of society, the incidence of dementia and type 2 diabetes (T2DM) in the elderly has been increasing. Although the correlation between T2DM and mild cognitive impairment (MCI) has been confirmed in the previous literature, the interaction mechanism remains to be clarified. To explore the co-pathogenic genes in the blood of MCI and T2DM patients, clarify the correlation between T2DM and MCI, achieve the purpose of early disease prediction, and provide new ideas for the prevention and treatment of dementia. We downloaded T2DM and MCI microarray data from GEO databases and identified the differentially expressed genes associated with MCI and T2DM. We obtained co-expressed genes by intersecting differentially expressed genes. Then, we performed GO and KEGG enrichment analysis of co-DEGs. Next, we constructed the PPI network and found the hub genes in the network. By constructing the ROC curve of hub genes, the most valuable genes for diagnosis were obtained. Finally, the correlation between MCI and T2DM was clinically verified by means of a current situation investigation, and the hub gene was verified by qRT-PCR. A total of 214 co-DEGs were selected, 28 co-DEGs were up-regulated, and 90 co-DEGs were down-regulated. Functional enrichment analysis showed that co-DEGs were mainly enriched in metabolic diseases and some signaling pathways. The construction of the PPI network identified the hub genes in MCI and T2DM co-expression genes. We identified nine hub genes of co-DEGs, namely LNX2, BIRC6, ANKRD46, IRS1, TGFB1, APOA1, PSEN1, NPY, and ALDH2. Logistic regression analysis and person correlation analysis showed that T2DM was correlated with MCI, and T2DM increased the risk of cognitive impairment. The qRT-PCR results showed that the expressions of LNX2, BIRC6, ANKRD46, TGFB1, PSEN1, and ALDH2 were consistent with the results of bioinformatic analysis. This study screened the co-expressed genes of MCI and T2DM, which may provide new therapeutic targets for the diagnosis and treatment of diseases.
Collapse
Affiliation(s)
- Yu Zhang
- Department of Geriatrics, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China
| | - Shengfeng Deng
- Department of Geriatrics, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China
| | - Hongfei Zhong
- Department of Geriatrics, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China
| | - Miao Liu
- Department of Geriatrics, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China
| | - Jingwen Ding
- Department of Geriatrics, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China
| | - Rulin Geng
- Department of Geriatrics, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China
| | - Qiuyun Tu
- Department of Geriatrics, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China
| |
Collapse
|
3
|
Dallali H, Hechmi M, Morjane I, Elouej S, Jmel H, Ben Halima Y, Abid A, Bahlous A, Barakat A, Jamoussi H, Abdelhak S, Kefi R. Association of HNF1A gene variants and haplotypes with metabolic syndrome: a case-control study in the Tunisian population and a meta-analysis. Diabetol Metab Syndr 2022; 14:25. [PMID: 35109885 PMCID: PMC8812021 DOI: 10.1186/s13098-022-00794-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 01/15/2022] [Indexed: 02/17/2023] Open
Abstract
BACKGROUND Variants in the Hepatocyte Nuclear Factor 1 Alpha gene (HNF1A) are associated with lipoproteins levels and type 2 diabetes. In this study, we aimed to assess the association of HNF1A gene and haplotypes with the metabolic syndrome (MetS) and its components through an association study in the Tunisian population as well as by a meta-analysis. METHODS A total of 594 Tunisian individuals were genotyped for three variants (rs1169288, rs2464196 and rs735396) located in HNF1A gene using KASPar technology. Statistical analyses were performed with R software. The association was furthermore evaluated through a meta-analysis of our results with those obtained in a Moroccan population. RESULTS Our results showed no association between HNF1A variants and MetS in the Tunisian population. However, a significant association was observed between the variant rs735396 and a higher waist circumference. The stratified analysis according to the sex highlighted a significant association between the variant rs1169288 and high cholesterol levels only in women. Similarly, Haplotype analysis showed an association between the HNF1A minor haplotype and high total cholesterol mainly in women. Finally, our meta-analysis showed no association between HNF1A variants and MetS. CONCLUSIONS Our findings exclude the involvement of the three HNF1A variants rs1169288, rs2464196 and rs735396 in the susceptibility to MetS in our studied Tunisian population but emphasize the role of these variants in the cholesterol homeostasis with sex-specific differences, which may serve to rise clinical consideration to early statin therapy in women carrying these genetic variants.
Collapse
Affiliation(s)
- Hamza Dallali
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur in Tunis, BP 74, 13 Place Pasteur, Belvedere, 1002, Tunis, Tunisia
| | - Meriem Hechmi
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur in Tunis, BP 74, 13 Place Pasteur, Belvedere, 1002, Tunis, Tunisia
- University of Carthage, National Institute of Applied Science and Technology, Tunis, Tunisia
| | - Imane Morjane
- Human Molecular Genetics Laboratory, Institut Pasteur du Maroc, Place Louis Pasteur, Casablanca, Morocco
| | - Sahar Elouej
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur in Tunis, BP 74, 13 Place Pasteur, Belvedere, 1002, Tunis, Tunisia
| | - Haifa Jmel
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur in Tunis, BP 74, 13 Place Pasteur, Belvedere, 1002, Tunis, Tunisia
| | - Yosra Ben Halima
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur in Tunis, BP 74, 13 Place Pasteur, Belvedere, 1002, Tunis, Tunisia
| | - Abdelmajid Abid
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur in Tunis, BP 74, 13 Place Pasteur, Belvedere, 1002, Tunis, Tunisia
- National Institute of Nutrition and Food Technology, 11 rue Jebel Lakhdar, Bab Saadoun, 1007, Tunis, Tunisia
| | - Afef Bahlous
- Central Laboratory of Medical Biology, Institut Pasteur in Tunis, 13 Place Pasteur, BP 74, 1002, Tunis, Tunisia
| | - Abdelhamid Barakat
- Human Molecular Genetics Laboratory, Institut Pasteur du Maroc, Place Louis Pasteur, Casablanca, Morocco
| | - Henda Jamoussi
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur in Tunis, BP 74, 13 Place Pasteur, Belvedere, 1002, Tunis, Tunisia
- National Institute of Nutrition and Food Technology, 11 rue Jebel Lakhdar, Bab Saadoun, 1007, Tunis, Tunisia
| | - Sonia Abdelhak
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur in Tunis, BP 74, 13 Place Pasteur, Belvedere, 1002, Tunis, Tunisia
- University of Tunis El Manar, 2092, El Manar I Tunis, Tunisia
| | - Rym Kefi
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur in Tunis, BP 74, 13 Place Pasteur, Belvedere, 1002, Tunis, Tunisia.
- University of Tunis El Manar, 2092, El Manar I Tunis, Tunisia.
| |
Collapse
|
4
|
Mondello S, Kobeissy FH, Mechref Y, Zhao J, El Hayek S, Zibara K, Moresco M, Plazzi G, Cosentino FII, Ferri R. Searching for Novel Candidate Biomarkers of RLS in Blood by Proteomic Analysis. Nat Sci Sleep 2021; 13:873-883. [PMID: 34234594 PMCID: PMC8243594 DOI: 10.2147/nss.s311801] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 05/28/2021] [Indexed: 01/03/2023] Open
Abstract
PURPOSE We performed comparative proteomic analyses of blood of patients with RLS and healthy individuals aiming to identify potential biomarker and therapeutic target candidate for RLS. PATIENTS AND METHODS Blood serum samples from 12 patients with a clinical diagnosis of RLS (8 females and 4 males, with a mean age of 68.52 years) and 10 healthy controls (5 females and 5 males, with a mean age of 67.61 years) underwent proteomic profiling by liquid chromatography coupled with tandem mass spectrometry. Pathway analysis incorporating protein-protein interaction networks was carried out to identify pathological processes linked to the differentially expressed proteins. RESULTS We quantified 272 proteins in patients with RLS and healthy controls, of which 243 were shared. Five proteins - apolipoprotein C-II, leucine-rich alpha-2-glycoprotein 1, FLJ92374, extracellular matrix protein 1, and FLJ93143 - were substantially increased in RLS patients, whereas nine proteins - vitamin D-binding protein, FLJ78071, alpha-1-antitrypsin, CD5 antigen-like, haptoglobin, fibrinogen alpha chain, complement factor H-related protein 1, platelet factor 4, and plasma protease C1 inhibitor - were decreased. Bioinformatics analyses revealed that these proteins were linked to 1) inflammatory and immune response, and complement activation, 2) brain-related development, cell aging, and memory disorders, 3) pregnancy and associated complications, 4) myocardial infarction, and 5) reactive oxygen species generation and subsequent diabetes mellitus. CONCLUSION Our findings shed light on the multifactorial nature of RLS and identified a set of circulating proteins that may have clinical importance as biomarkers and therapeutic targets.
Collapse
Affiliation(s)
- Stefania Mondello
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
| | - Firas H Kobeissy
- Faculty of Medicine, American University of Beirut Medical Center, Beirut, Lebanon
| | - Yehia Mechref
- Faculty of Medicine, American University of Beirut Medical Center, Beirut, Lebanon
| | - Jingfu Zhao
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, 79409, USA
| | - Samer El Hayek
- Department of Psychiatry, American University of Beirut, Beirut, Lebanon
| | - Kazem Zibara
- Department of Biology, Faculty of Sciences-I, PRASE, DSST, Lebanese University, Beirut, Lebanon
| | - Monica Moresco
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy.,IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Giuseppe Plazzi
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | | | - Raffaele Ferri
- Sleep Research Centre, Oasi Research Institute - IRCCS, Troina, Italy
| |
Collapse
|
5
|
El Bitar F, Al Sudairy N, Qadi N, Al Rajeh S, Alghamdi F, Al Amari H, Al Dawsari G, Alsubaie S, Al Sudairi M, Abdulaziz S, Al Tassan N. A Comprehensive Analysis of Unique and Recurrent Copy Number Variations in Alzheimer's Disease and its Related Disorders. Curr Alzheimer Res 2020; 17:926-938. [PMID: 33256577 DOI: 10.2174/1567205017666201130111424] [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: 04/25/2020] [Revised: 08/20/2020] [Accepted: 10/29/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Copy number variations (CNVs) play an important role in the genetic etiology of various neurological disorders, including Alzheimer's disease (AD). Type 2 diabetes mellitus (T2DM) and major depressive disorder (MDD) were shown to have share mechanisms and signaling pathways with AD. OBJECTIVE We aimed to assess CNVs regions that may harbor genes contributing to AD, T2DM, and MDD in 67 Saudi familial and sporadic AD patients, with no alterations in the known genes of AD and genotyped previously for APOE. METHODS DNA was analyzed using the CytoScan-HD array. Two layers of filtering criteria were applied. All the identified CNVs were checked in the Database of Genomic Variants (DGV). RESULTS A total of 1086 CNVs (565 gains and 521 losses) were identified in our study. We found 73 CNVs harboring genes that may be associated with AD, T2DM or MDD. Nineteen CNVs were novel. Most importantly, 42 CNVs were unique in our studied cohort existing only in one patient. Two large gains on chromosomes 1 and 13 harbored genes implicated in the studied disorders. We identified CNVs in genes that encode proteins involved in the metabolism of amyloid-β peptide (AGRN, APBA2, CR1, CR2, IGF2R, KIAA0125, MBP, RER1, RTN4R, VDR and WISPI) or Tau proteins (CACNAIC, CELF2, DUSP22, HTRA1 and SLC2A14). CONCLUSION The present work provided information on the presence of CNVs related to AD, T2DM, and MDD in Saudi Alzheimer's patients.
Collapse
Affiliation(s)
- Fadia El Bitar
- Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Nourah Al Sudairy
- Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Najeeb Qadi
- Department of Neurosciences, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | | | - Fatimah Alghamdi
- Institute of Biology and Environmental Research, National Center for Biotechnology, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Hala Al Amari
- Institute of Biology and Environmental Research, National Center for Biotechnology, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Ghadeer Al Dawsari
- Institute of Biology and Environmental Research, National Center for Genomics Technology, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
| | - Sahar Alsubaie
- Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Mishael Al Sudairi
- Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Sara Abdulaziz
- Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Nada Al Tassan
- Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| |
Collapse
|
6
|
Shalimova A, Fadieienko G, Kolesnikova O, Isayeva A, Zlatkina V, Nemtsova V, Prosolenko K, Psarova V, Kyrychenko N, Kochuieva M. The Role of Genetic Polymorphism in the Formation of Arterial Hypertension, Type 2 Diabetes and their Comorbidity. Curr Pharm Des 2019; 25:218-227. [PMID: 30868946 DOI: 10.2174/1381612825666190314124049] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Accepted: 03/09/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND Hereditary component plays a significant role in the formation of insulin resistance (IR) - one of the pathogenetic links of arterial hypertension (AH) and type 2 diabetes mellitus (DM2). However, the genetic predisposition to IR can not be realized and does not manifest itself clinically in the absence of appropriate factors of the environment (excessive nutrition, low physical activity, etc.). OBJECTIVE The review summarizes the results of studies which describe the contribution of genetic polymorphism to the formation and progression of AH, DM2 and their comorbidity in various populations. RESULTS In many studies, it has been established that genetic polymorphism of candidate genes is influenced by the formation, course and complication of AH and DM2. According to research data, the modulating effect of polymorphism of some genetic markers of AH and DM2 on metabolism and hemodynamics has been established. The results of numerous studies have shown a higher frequency of occurrence of AH and DM2, as well as their more severe course with adverse genetic polymorphisms. At the same time, the role of genetic polymorphism in the formation of AH and DM2 differs in different populations. CONCLUSION Contradictory data on the influence of gene polymorphisms on the formation of AH and DM2 in different populations, as well as a small number of studies on the combined effects of several polymorphisms on the formation of comorbidity, determine the continuation of research in this direction.
Collapse
Affiliation(s)
- Anna Shalimova
- The Government Institution 'L.T. Malaya Therapy National Institute of the National Academy of Medical Sciences of Ukraine', Kharkiv, Ukraine.,Kharkiv National Medical University, Kharkiv, Ukraine
| | - Galyna Fadieienko
- The Government Institution 'L.T. Malaya Therapy National Institute of the National Academy of Medical Sciences of Ukraine', Kharkiv, Ukraine
| | - Olena Kolesnikova
- The Government Institution 'L.T. Malaya Therapy National Institute of the National Academy of Medical Sciences of Ukraine', Kharkiv, Ukraine
| | - Anna Isayeva
- The Government Institution 'L.T. Malaya Therapy National Institute of the National Academy of Medical Sciences of Ukraine', Kharkiv, Ukraine
| | - Vira Zlatkina
- Kharkiv National Medical University, Kharkiv, Ukraine
| | | | | | | | | | - Maryna Kochuieva
- Kharkiv Medical Academy of Postgraduate Education, Kharkiv, Ukraine
| |
Collapse
|
7
|
Ahluwalia TS, Schulz CA, Waage J, Skaaby T, Sandholm N, van Zuydam N, Charmet R, Bork-Jensen J, Almgren P, Thuesen BH, Bedin M, Brandslund I, Christensen CK, Linneberg A, Ahlqvist E, Groop PH, Hadjadj S, Tregouet DA, Jørgensen ME, Grarup N, Pedersen O, Simons M, Groop L, Orho-Melander M, McCarthy MI, Melander O, Rossing P, Kilpeläinen TO, Hansen T. A novel rare CUBN variant and three additional genes identified in Europeans with and without diabetes: results from an exome-wide association study of albuminuria. Diabetologia 2019; 62:292-305. [PMID: 30547231 PMCID: PMC6323095 DOI: 10.1007/s00125-018-4783-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 10/22/2018] [Indexed: 01/06/2023]
Abstract
AIMS/HYPOTHESIS Identifying rare coding variants associated with albuminuria may open new avenues for preventing chronic kidney disease and end-stage renal disease, which are highly prevalent in individuals with diabetes. Efforts to identify genetic susceptibility variants for albuminuria have so far been limited, with the majority of studies focusing on common variants. METHODS We performed an exome-wide association study to identify coding variants in a two-stage (discovery and replication) approach. Data from 33,985 individuals of European ancestry (15,872 with and 18,113 without diabetes) and 2605 Greenlanders were included. RESULTS We identified a rare (minor allele frequency [MAF]: 0.8%) missense (A1690V) variant in CUBN (rs141640975, β = 0.27, p = 1.3 × 10-11) associated with albuminuria as a continuous measure in the combined European meta-analysis. The presence of each rare allele of the variant was associated with a 6.4% increase in albuminuria. The rare CUBN variant had an effect that was three times stronger in individuals with type 2 diabetes compared with those without (pinteraction = 7.0 × 10-4, β with diabetes = 0.69, β without diabetes = 0.20) in the discovery meta-analysis. Gene-aggregate tests based on rare and common variants identified three additional genes associated with albuminuria (HES1, CDC73 and GRM5) after multiple testing correction (pBonferroni < 2.7 × 10-6). CONCLUSIONS/INTERPRETATION The current study identifies a rare coding variant in the CUBN locus and other potential genes associated with albuminuria in individuals with and without diabetes. These genes have been implicated in renal and cardiovascular dysfunction. The findings provide new insights into the genetic architecture of albuminuria and highlight target genes and pathways for the prevention of diabetes-related kidney disease.
Collapse
Affiliation(s)
- Tarunveer S Ahluwalia
- Steno Diabetes Center Copenhagen, Niels Steensens Vej 2, 2820, Gentofte, Denmark.
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
- Copenhagen Prospective Studies on Asthma in Childhood, Gentofte and Herlev Hospital, University of Copenhagen, Copenhagen, Denmark.
| | | | - Johannes Waage
- Copenhagen Prospective Studies on Asthma in Childhood, Gentofte and Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Tea Skaaby
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Capital Region, Copenhagen, Denmark
| | - Niina Sandholm
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
| | - Natalie van Zuydam
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Romain Charmet
- Inserm UMR-S 1166, Sorbonne Universités, UPMC Université Paris, Paris, France
| | - Jette Bork-Jensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Peter Almgren
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Betina H Thuesen
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Capital Region, Copenhagen, Denmark
| | - Mathilda Bedin
- Paris Descartes University-Sorbonne Paris Cité, Imagine Institute, Paris, France
| | - Ivan Brandslund
- Department of Clinical Immunology and Biochemistry, Lillebaelt Hospital, Vejle, Denmark
| | - Cramer K Christensen
- Department of Internal Medicine and Endocrinology, Lillebaelt Hospital, Vejle, Denmark
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Capital Region, Copenhagen, Denmark
| | - Emma Ahlqvist
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Per-Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Samy Hadjadj
- L'institut du thorax, Department of Endocrinology, CIC 1413 INSERM, CHU Nantes, Nantes, France
| | | | - Marit E Jørgensen
- Steno Diabetes Center Copenhagen, Niels Steensens Vej 2, 2820, Gentofte, Denmark
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Matias Simons
- Paris Descartes University-Sorbonne Paris Cité, Imagine Institute, Paris, France
| | - Leif Groop
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | | | - Mark I McCarthy
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Olle Melander
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Peter Rossing
- Steno Diabetes Center Copenhagen, Niels Steensens Vej 2, 2820, Gentofte, Denmark
- University of Copenhagen, Copenhagen, Denmark
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| |
Collapse
|
8
|
Ahluwalia TS, Kilpeläinen TO, Singh S, Rossing P. Editorial: Novel Biomarkers for Type 2 Diabetes. Front Endocrinol (Lausanne) 2019; 10:649. [PMID: 31611845 PMCID: PMC6776920 DOI: 10.3389/fendo.2019.00649] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Accepted: 09/06/2019] [Indexed: 01/10/2023] Open
Affiliation(s)
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sandeep Singh
- Department of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, India
| | - Peter Rossing
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
9
|
Ahmad S, Ahluwalia TS. Editorial: The Role of Genetic and Lifestyle Factors in Metabolic Diseases. Front Endocrinol (Lausanne) 2019; 10:475. [PMID: 31379743 PMCID: PMC6650930 DOI: 10.3389/fendo.2019.00475] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Accepted: 07/01/2019] [Indexed: 12/01/2022] Open
Affiliation(s)
- Shafqat Ahmad
- Molecular Epidemiology Unit, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- Preventive Medicine Division, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- *Correspondence: Shafqat Ahmad
| | | |
Collapse
|
10
|
Genetic risk score of common genetic variants for impaired fasting glucose and newly diagnosed type 2 diabetes influences oxidative stress. Sci Rep 2018; 8:7828. [PMID: 29777116 PMCID: PMC5959868 DOI: 10.1038/s41598-018-26106-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Accepted: 05/02/2018] [Indexed: 12/11/2022] Open
Abstract
We tested the hypothesis that the cumulative effects of common genetic variants related to elevated fasting glucose are collectively associated with oxidative stress. Using 25 single nucleotide polymorphisms (SNPs), a weighted genetic risk score (wGRS) was constructed by summing nine risk alleles based on nominal significance and a consistent effect direction in 1,395 controls and 718 patients with impaired fasting glucose (IFG) or newly diagnosed type 2 diabetes. All the participants were divided into the following three groups: low-wGRS, middle-wGRS, and high-wGRS groups. Among the nine SNPs, five SNPs were significantly associated with IFG and type 2 diabetes in this Korean population. wGRS was significantly associated with increased IFG and newly diagnosed type 2 diabetes (p = 6.83 × 10−14, odds ratio = 1.839) after adjusting for confounding factors. Among the IFG and type 2 diabetes patients, the fasting serum glucose and HbA1c levels were significantly higher in the high-wGRS group than in the other groups. The urinary 8-epi-PGF2α and malondialdehyde concentrations were significantly higher in the high-wGRS group than in the other groups. Moreover, general population-level instrumental variable estimation (using wGRS as an instrument) strengthened the causal effect regarding the largely adverse influence of high levels of fasting serum glucose on markers of oxidative stress in the Korean population. Thus, the combination of common genetic variants with small effects on IFG and newly diagnosed type 2 diabetes are significantly associated with oxidative stress.
Collapse
|
11
|
Tuerxunyiming M, Xian F, Zi J, Yimamu Y, Abuduwayite R, Ren Y, Li Q, Abudula A, Liu S, Mohemaiti P. Quantitative Evaluation of Serum Proteins Uncovers a Protein Signature Related to Maturity-Onset Diabetes of the Young (MODY). J Proteome Res 2018; 17:670-679. [PMID: 29182332 DOI: 10.1021/acs.jproteome.7b00727] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Maturity-onset diabetes of the young (MODY) is an inherited monogenic type of diabetes. Genetic mutations in MODY often cause nonsynonymous changes that directly lead to the functional distortion of proteins and the pathological consequences. Herein, we proposed that the inherited mutations found in a MODY family could cause a disturbance of protein abundance, specifically in serum. The serum samples were collected from a Uyghur MODY family through three generations, and the serum proteins after depletion treatment were examined by quantitative proteomics to characterize the MODY-related serum proteins followed by verification using target quantification of proteomics. A total of 32 serum proteins were preliminarily identified as the MODY-related. Further verification test toward the individual samples demonstrated the 12 candidates with the significantly different abundance in the MODY patients. A comparison of the 12 proteins among the sera of type 1 diabetes, type 2 diabetes, MODY, and healthy subjects was conducted and revealed a protein signature related with MODY composed of the serum proteins such as SERPINA7, APOC4, LPA, C6, and F5.
Collapse
Affiliation(s)
| | - Feng Xian
- University of Chinese Academy of Sciences , Beijing 100049, China
| | - Jin Zi
- Proteomics Division, BGI-Shenzhen , Shenzhen, Guangdong 518083, China
| | | | | | - Yan Ren
- Proteomics Division, BGI-Shenzhen , Shenzhen, Guangdong 518083, China
| | - Qidan Li
- Proteomics Division, BGI-Shenzhen , Shenzhen, Guangdong 518083, China
| | | | - SiQi Liu
- University of Chinese Academy of Sciences , Beijing 100049, China.,Proteomics Division, BGI-Shenzhen , Shenzhen, Guangdong 518083, China
| | | |
Collapse
|
12
|
Attia HR, Kamel SA, Ibrahim MH, Farouk HA, Rahman AH, Sayed GH, Musa NI. Open-array analysis of genetic variants in Egyptian patients with type 2 diabetes and obesity. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2017. [DOI: 10.1016/j.ejmhg.2017.03.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
|
13
|
Identification of susceptible genes for complex chronic diseases based on disease risk functional SNPs and interaction networks. J Biomed Inform 2017; 74:137-144. [DOI: 10.1016/j.jbi.2017.09.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Revised: 09/15/2017] [Accepted: 09/16/2017] [Indexed: 01/05/2023]
|
14
|
Tabb KL, Hellwege JN, Palmer ND, Dimitrov L, Sajuthi S, Taylor KD, Ng MCY, Hawkins GA, Chen YDI, Brown WM, McWilliams D, Williams A, Lorenzo C, Norris JM, Long J, Rotter JI, Curran JE, Blangero J, Wagenknecht LE, Langefeld CD, Bowden DW. Analysis of Whole Exome Sequencing with Cardiometabolic Traits Using Family-Based Linkage and Association in the IRAS Family Study. Ann Hum Genet 2017; 81:49-58. [PMID: 28067407 DOI: 10.1111/ahg.12184] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Accepted: 12/15/2016] [Indexed: 01/01/2023]
Abstract
Family-based methods are a potentially powerful tool to identify trait-defining genetic variants in extended families, particularly when used to complement conventional association analysis. We utilized two-point linkage analysis and single variant association analysis to evaluate whole exome sequencing (WES) data from 1205 Hispanic Americans (78 families) from the Insulin Resistance Atherosclerosis Family Study. WES identified 211,612 variants above the minor allele frequency threshold of ≥0.005. These variants were tested for linkage and/or association with 50 cardiometabolic traits after quality control checks. Two-point linkage analysis yielded 10,580,600 logarithm of the odds (LOD) scores with 1148 LOD scores ≥3, 183 LOD scores ≥4, and 29 LOD scores ≥5. The maximal novel LOD score was 5.50 for rs2289043:T>C, in UNC5C with subcutaneous adipose tissue volume. Association analysis identified 13 variants attaining genome-wide significance (P < 5 × 10-08 ), with the strongest association between rs651821:C>T in APOA5 and triglyceride levels (P = 3.67 × 10-10 ). Overall, there was a 5.2-fold increase in the number of informative variants detected by WES compared to exome chip analysis in this population, nearly 30% of which were novel variants relative to the Database of Single Nucleotide Polymorphisms (dbSNP) build 138. Thus, integration of results from two-point linkage and single-variant association analysis from WES data enabled identification of novel signals potentially contributing to cardiometabolic traits.
Collapse
Affiliation(s)
- Keri L Tabb
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jacklyn N Hellwege
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Latchezar Dimitrov
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Satria Sajuthi
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Maggie C Y Ng
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Gregory A Hawkins
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yii-der Ida Chen
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - W Mark Brown
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - David McWilliams
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Adrienne Williams
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Carlos Lorenzo
- Department of Medicine, University of Texas Health Science Center, San Antonio, TX, USA
| | - Jill M Norris
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, CO, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Joanne E Curran
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - John Blangero
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Lynne E Wagenknecht
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Carl D Langefeld
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.,Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| |
Collapse
|
15
|
Petersen ERB, Nielsen AA, Christensen H, Hansen T, Pedersen O, Christensen CK, Brandslund I. Vejle Diabetes Biobank - a resource for studies of the etiologies of diabetes and its comorbidities. Clin Epidemiol 2016; 8:393-413. [PMID: 27799821 PMCID: PMC5085288 DOI: 10.2147/clep.s113419] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Aims Carefully designed and established biobanks are considered one of the most essential resources to foster biomedical research as they provide cost-effective and rapid access to a vast variety of biological materials and related anthropometrics allowing for testing of various biomarkers as well as numerous original and pertinent bioclinical hypotheses related to human disease etiology and prognosis. The objective of the present study was to present the baseline data, design, and methods used for the establishment of the Vejle Diabetes Biobank. Further aims included assessment of the prevalence of diabetes and quality of diabetes treatment in a specified Danish region. Methods The Vejle Diabetes Biobank was established from 2007 to 2010 as a regional Biobank containing blood, DNA, and urine samples from patients with diabetes and a gender- and age-matched control population aged 25–75 years. Anthropometrics were obtained by physical examination, questionnaires, and interviews at the time of inclusion into the Biobank. The cohort was linked to the Danish Civil Registration System, the Danish National Patient Registry, and the Danish National Prescription Registry. Results In total, 4,255 nondiabetic individuals and 3,320 patients with diabetes were included. Type 2 diabetes (T2D) patients had a higher body mass index (30 kg/m2) than type 1 diabetes (T1D) patients (25 and 26 kg/m2 in women and men, respectively) and control subjects (25 and 27 kg/m2 in women and men, respectively). Fasting levels of plasma triglycerides and blood pressure were higher in T2D patients (1.5 mmol/L and 148/85 mmHg, respectively) compared with T1D patients (0.9 mmol/L and 139/81 mmHg, respectively), whereas glycated hemoglobin (HbA1c), plasma high density lipoprotein, low density lipoprotein, and total cholesterol were lower in T2D patients (51 mmol/mol, 1.2 mmol/L, 2.2 mmol/L, and 4.2 mmol/L, respectively) compared with findings in T1D patients (61 mmol/mol, 1.6 mmol/L, 2.3 mmol/L, and 4.4 mmol/L, respectively). At the time of inclusion into the Biobank, 56% of the T2D patients and 25% of T1D patients had an HbA1c <7% (53 mmol/mol). Only 28% and 34% of the T2D patients, respectively, reached treatment target for blood pressure and lipids. Conclusion The Vejle Diabetes Biobank represents one of the largest open diabetes case-control cohorts in Denmark. The Biobank invites collaborative investigations of diabetes and diabetes complication etiologies as well as studies of prognostic or predictive biomarkers.
Collapse
Affiliation(s)
- Eva Rabing Brix Petersen
- Department of Clinical Immunology and Biochemistry, Lillebaelt Hospital, Vejle; Faculty of Health Sciences, Institute of Regional Health Research, University of Southern Denmark, Odense
| | | | - Henry Christensen
- Department of Clinical Immunology and Biochemistry, Lillebaelt Hospital, Vejle
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen
| | | | - Ivan Brandslund
- Department of Clinical Immunology and Biochemistry, Lillebaelt Hospital, Vejle; Faculty of Health Sciences, Institute of Regional Health Research, University of Southern Denmark, Odense
| |
Collapse
|
16
|
Ahluwalia TS, Troelsen JT, Balslev-Harder M, Bork-Jensen J, Thuesen BH, Cerqueira C, Linneberg A, Grarup N, Pedersen O, Hansen T, Dalgaard LT. Carriers of a VEGFA enhancer polymorphism selectively binding CHOP/DDIT3 are predisposed to increased circulating levels of thyroid-stimulating hormone. J Med Genet 2016; 54:166-175. [PMID: 27627987 DOI: 10.1136/jmedgenet-2016-104084] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Revised: 08/08/2016] [Accepted: 08/22/2016] [Indexed: 01/15/2023]
Abstract
BACKGROUND Levels of serum thyroid-stimulating hormone (TSH) indicate thyroid function, because thyroid hormone negatively controls TSH release. Genetic variants in the vascular endothelial growth factor A (VEGFA) gene are associated with TSH levels. The aim of this study was to characterise the association of VEGFA variants with TSH in a Danish cohort and to identify and characterise functional variants. METHODS We performed an association study of the VEGFA locus for circulating TSH levels in 8445 Danish individuals. Lead variants were tested for allele-specific effects in vitro using luciferase reporter and gel-shift assays. RESULTS Four SNPs in VEGFA were associated with circulating TSH (rs9472138, rs881858, rs943080 and rs4711751). For rs881858, the presence of each G-allele was associated with a corresponding decrease in TSH levels of 2.3% (p=8.4×10-9) and an increase in circulating free T4 levels (p=0.0014). The SNP rs881858 is located in a binding site for CHOP (C/EBP homology protein) and c/EBPβ (ccaat enhancer binding protein β). Reporter-gene analysis showed increased basal enhancer activity of the rs881858 A-allele versus the G-allele (34.5±9.9% (average±SEM), p=0.0012), while co-expression of CHOP effectively suppressed the rs881858 A-allele activity. The A-allele showed stronger binding to CHOP in gel-shift assays. CONCLUSIONS VEGF is an important angiogenic signal required for tissue expansion. We show that VEGFA variation giving allele-specific response to transcription factors with overlapping binding sites associate closely with circulating TSH levels. Because CHOP is induced by several types of intracellular stress, this indicates that cellular stress could be involved in the normal or pathophysiological response of the thyroid to TSH. TRIAL REGISTRATION NUMBER NCT00289237, NCT00316667; Results.
Collapse
Affiliation(s)
- Tarunveer Singh Ahluwalia
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Steno Diabetes Center, Gentofte, Denmark
| | | | - Marie Balslev-Harder
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jette Bork-Jensen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Charlotte Cerqueira
- Research Centre for Prevention and Health, The Capital Region, Glostrup, Denmark
| | - Allan Linneberg
- Research Centre for Prevention and Health, The Capital Region, Glostrup, Denmark.,Department of Clinical Experimental Research, Rigshospitalet, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Niels Grarup
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | | |
Collapse
|
17
|
Olsen NJ, Ängquist L, Larsen SC, Linneberg A, Skaaby T, Husemoen LLN, Toft U, Tjønneland A, Halkjær J, Hansen T, Pedersen O, Overvad K, Ahluwalia TS, Sørensen TI, Heitmann BL. Interactions between genetic variants associated with adiposity traits and soft drinks in relation to longitudinal changes in body weight and waist circumference. Am J Clin Nutr 2016; 104:816-26. [PMID: 27465380 DOI: 10.3945/ajcn.115.122820] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2015] [Accepted: 06/20/2016] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Intake of sugar-sweetened beverages is associated with obesity, and this association may be modified by a genetic predisposition to obesity. OBJECTIVE We examined the interactions between a molecular genetic predisposition to various aspects of obesity and the consumption of soft drinks, which are a major part of sugar-sweetened beverages, in relation to changes in adiposity measures. DESIGN A total of 4765 individuals were included in the study. On the basis of 50 obesity-associated single nucleotide polymorphisms that are associated with body mass index (BMI), waist circumference (WC), or the waist-to-hip ratio adjusted for BMI (WHRBMI), the following 4 genetic predisposition scores (GRSs) were constructed: a complete genetic predisposition score including all 50 single nucleotide polymorphisms (GRSComplete), a genetic predisposition score including BMI-associated single nucleotide polymorphisms (GRSBMI), a genetic predisposition score including waist circumference-associated single nucleotide polymorphisms (GRSWC), and a genetic predisposition score including the waist-to-hip ratio adjusted for BMI-associated single nucleotide polymorphisms (GRSWHR). Associations between soft drink intake and the annual change (Δ) in body weight (BW), WC, or waist circumference adjusted for BMI (WCBMI) and possible interactions with the GRSs were examined with the use of linear regression analyses and meta-analyses. RESULTS For each soft drink serving per day, soft drink consumption was significantly associated with a higher ΔBW of 0.07 kg/y (95% CI: 0.01, 0.13 kg/y; P = 0.020) but not with the ΔWC or ΔWCBMI In analyses of the ΔBW, we showed an interaction only with the GRSWC (per risk allele for each soft drink serving per day: -0.06 kg/y; 95% CI: -0.10, -0.02 kg/y; P = 0.006). In analyses of the ΔWC, we showed interactions only with the GRSBMI and GRSComplete [per risk allele for each soft drink serving per day: 0.05 cm/y (95% CI: 0.02, 0.09 cm/y; P = 0.001) and 0.05 cm/y (95% CI: 0.02, 0.07 cm/y; P = 0.001), respectively]. Nearly identical results were observed in analyses of the ΔWCBMI CONCLUSIONS: A genetic predisposition to a high WC may attenuate the association between soft drink intake and BW gain. A genetic predisposition to high BMI as well as a genetic predisposition to high BMI, WC, and WHRBMI combined may strengthen the association between soft drink intake and WC gain. However, the public health impact may be limited.
Collapse
Affiliation(s)
- Nanna J Olsen
- Research Unit for Dietary Studies at the Parker Institute and Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark;
| | - Lars Ängquist
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Sofus C Larsen
- Research Unit for Dietary Studies at the Parker Institute and Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Allan Linneberg
- Research Centre for Prevention and Health, Copenhagen, Denmark; Department of Clinical Experimental Research, Rigshospitalet, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences
| | - Tea Skaaby
- Research Centre for Prevention and Health, Copenhagen, Denmark
| | | | - Ulla Toft
- Research Centre for Prevention and Health, Copenhagen, Denmark
| | | | - Jytte Halkjær
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, and
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, and
| | - Kim Overvad
- Section of Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark; Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Tarunveer S Ahluwalia
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, and Steno Diabetes Center, Gentofte, Denmark
| | - Thorkild Ia Sørensen
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark; Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, and Medical Research Council Integrative Epidemiology Unit, Bristol University, Bristol, United Kingdom
| | - Berit L Heitmann
- Research Unit for Dietary Studies at the Parker Institute and Section for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; The National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark; and The Boden Institute of Obesity, Nutrition, Exercise and Eating Disorders, The University of Sydney, Sydney, Australia
| |
Collapse
|
18
|
Luna GI, da Silva ICR, Sanchez MN. Association between -308G/A TNFA Polymorphism and Susceptibility to Type 2 Diabetes Mellitus: A Systematic Review. J Diabetes Res 2016; 2016:6309484. [PMID: 27822481 PMCID: PMC5086378 DOI: 10.1155/2016/6309484] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Revised: 07/12/2016] [Accepted: 09/14/2016] [Indexed: 12/29/2022] Open
Abstract
Diabetes mellitus (DM) is considered to be a worldwide epidemic disease and its type 2 form comprises more than 95% of all cases. Tumor necrosis factor-alpha (TNF-α) is a proinflammatory cytokine. Its dysregulation has been implicated in a variety of human diseases, including type 2 diabetes mellitus (T2DM). The control of expression of this cytokine is associated with insulin resistance and has a strong genetic influence. In order to understand this relationship, the literature from all case-control studies since 2000 to date was reviewed. The genotypes frequency results presented in ten publications with different ethnicities were compared. The correlation between the TNFA promoter genotypes and the risk of developing T2DM remains controversial due to the many discrepancies between the different studies available. Ethnic differences may play a role in these conflicting results, since the distribution of TNFA promoter polymorphisms is distinctive between individuals of dissimilar racial origin. Hence, although the relationship between T2DM incidence and presence of polymorphisms at position -308 of the TNFA gene is not entirely clear, the results of these studies suggest the need for further investigation.
Collapse
Affiliation(s)
- Geisa Izetti Luna
- Programa de Pós-Graduação em Saúde Coletiva, Universidade de Brasília, Brasília, DF, Brazil
- *Geisa Izetti Luna:
| | | | - Mauro Niskier Sanchez
- Programa de Pós-Graduação em Saúde Coletiva, Universidade de Brasília, Brasília, DF, Brazil
| |
Collapse
|
19
|
Abbasi A. Mendelian randomization studies of biomarkers and type 2 diabetes. Endocr Connect 2015; 4:249-60. [PMID: 26446360 PMCID: PMC4654400 DOI: 10.1530/ec-15-0087] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2015] [Accepted: 10/07/2015] [Indexed: 12/16/2022]
Abstract
Many biomarkers are associated with type 2 diabetes (T2D) risk in epidemiological observations. The aim of this study was to identify and summarize current evidence for causal effects of biomarkers on T2D. A systematic literature search in PubMed and EMBASE (until April 2015) was done to identify Mendelian randomization studies that examined potential causal effects of biomarkers on T2D. To replicate the findings of identified studies, data from two large-scale, genome-wide association studies (GWAS) were used: DIAbetes Genetics Replication And Meta-analysis (DIAGRAMv3) for T2D and the Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) for glycaemic traits. GWAS summary statistics were extracted for the same genetic variants (or proxy variants), which were used in the original Mendelian randomization studies. Of the 21 biomarkers (from 28 studies), ten have been reported to be causally associated with T2D in Mendelian randomization. Most biomarkers were investigated in a single cohort study or population. Of the ten biomarkers that were identified, nominally significant associations with T2D or glycaemic traits were reached for those genetic variants related to bilirubin, pro-B-type natriuretic peptide, delta-6 desaturase and dimethylglycine based on the summary data from DIAGRAMv3 or MAGIC. Several Mendelian randomization studies investigated the nature of associations of biomarkers with T2D. However, there were only a few biomarkers that may have causal effects on T2D. Further research is needed to broadly evaluate the causal effects of multiple biomarkers on T2D and glycaemic traits using data from large-scale cohorts or GWAS including many different genetic variants.
Collapse
Affiliation(s)
- Ali Abbasi
- MRC Epidemiology UnitUniversity of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Addenbrooke's Hospital, Post Box 285, Cambridge CB2 0QQ, UKDepartment of Epidemiology and Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands MRC Epidemiology UnitUniversity of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Addenbrooke's Hospital, Post Box 285, Cambridge CB2 0QQ, UKDepartment of Epidemiology and Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| |
Collapse
|