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Das SK, Ainsworth HC, Dimitrov L, Okut H, Comeau ME, Sharma N, Ng MCY, Norris JM, Chen YDI, Wagenknecht LE, Bowden DW, Hsu FC, Taylor KD, Langefeld CD, Palmer ND. Metabolomic architecture of obesity implicates metabolonic lactone sulfate in cardiometabolic disease. Mol Metab 2021; 54:101342. [PMID: 34563731 PMCID: PMC8640864 DOI: 10.1016/j.molmet.2021.101342] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 09/17/2021] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVE Identify and characterize circulating metabolite profiles associated with adiposity to inform precision medicine. METHODS Untargeted plasma metabolomic profiles in the Insulin Resistance Atherosclerosis Family Study (IRASFS) Mexican American cohort (n = 1108) were analyzed for association with anthropometric (body mass index, BMI; waist circumference, WC; waist-to-hip ratio, WHR) and computed tomography measures (visceral adipose tissue, VAT; subcutaneous adipose tissue, SAT; visceral-to-subcutaneous ratio, VSR) of adiposity. Genetic data, inclusive of genome-wide array-based genotyping, whole exome sequencing (WES) and whole genome sequencing (WGS), were evaluated to identify the genetic contributors. Phenotypic and genetic association signals were replicated across ancestries. Transcriptomic data were analyzed to explore the relationship between genetic and metabolomic data. RESULTS A partially characterized metabolite, tentatively named metabolonic lactone sulfate (X-12063), was consistently associated with BMI, WC, WHR, VAT, and SAT in IRASFS Mexican Americans (PMA <2.02 × 10-27). Trait associations were replicated in IRASFS African Americans (PAA < 1.12 × 10-07). Expanded analyses revealed associations with multiple phenotypic measures of cardiometabolic health, e.g. insulin sensitivity (SI), triglycerides (TG), diastolic blood pressure (DBP) and plasminogen activator inhibitor-1 (PAI-1) in both ancestries. Metabolonic lactone sulfate levels were heritable (h2 > 0.47), and a significant genetic signal at the ZSCAN25/CYP3A5 locus (PMA = 9.00 × 10-41, PAA = 2.31 × 10-10) was observed, highlighting a putative functional variant (rs776746, CYP3A5∗3). Transcriptomic analysis in the African American Genetics of Metabolism and Expression (AAGMEx) cohort supported the association of CYP3A5 with metabolonic lactone sulfate levels (PFDR = 6.64 × 10-07). CONCLUSIONS Variant rs776746 is associated with a decrease in the transcript levels of CYP3A5, which in turn is associated with increased metabolonic lactone sulfate levels and poor cardiometabolic health.
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Affiliation(s)
- Swapan K Das
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Hannah C Ainsworth
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Latchezar Dimitrov
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Hayrettin Okut
- Office of Research, University of Kansas Medical Center, Wichita, Kansas, USA
| | - Mary E Comeau
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Neeraj Sharma
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Maggie C Y Ng
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jill M Norris
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Yii-der I Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Lynne E Wagenknecht
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
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Palmer ND, Lu L, Register TC, Lenchik L, Carr JJ, Hicks PJ, Smith SC, Xu J, Dimitrov L, Keaton J, Guan M, Ng MCY, Chen YDI, Hanley AJ, Engelman CD, Norris JM, Langefeld CD, Wagenknecht LE, Bowden DW, Freedman BI, Divers J. Genome-wide association study of vitamin D concentrations and bone mineral density in the African American-Diabetes Heart Study. PLoS One 2021; 16:e0251423. [PMID: 34014961 PMCID: PMC8136717 DOI: 10.1371/journal.pone.0251423] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 04/26/2021] [Indexed: 12/29/2022] Open
Abstract
Relative to European Americans, African Americans have lower 25-hydroxyvitamin D (25OHD) and vitamin D binding protein (VDBP) concentrations, higher 1,25-dihydroxyvitamin D (1,25(OH)2D3) concentrations and bone mineral density (BMD), and paradoxically reduced burdens of calcified atherosclerotic plaque (subclinical atherosclerosis). To identify genetic factors contributing to vitamin D and BMD measures, association analysis of >14M variants was conducted in a maximum of 697 African American-Diabetes Heart Study participants with type 2 diabetes (T2D). The most significant association signals were detected for VDBP on chromosome 4; variants rs7041 (β = 0.44, SE = 0.019, P = 9.4x10-86) and rs4588 (β = 0.17, SE = 0.021, P = 3.5x10-08) in the group-specific component (vitamin D binding protein) gene (GC). These variants were found to be independently associated. In addition, rs7041 was also associated with bioavailable vitamin D (BAVD; β = 0.16, SE = 0.02, P = 3.3x10-19). Six rare variants were significantly associated with 25OHD, including a non-synonymous variant in HSPG2 (rs116788687; β = -1.07, SE = 0.17, P = 2.2x10-10) and an intronic variant in TNIK (rs143555701; β = -1.01, SE = 0.18, P = 9.0x10-10), both biologically related to bone development. Variants associated with 25OHD failed to replicate in African Americans from the Insulin Resistance Atherosclerosis Family Study (IRASFS). Evaluation of vitamin D metabolism and bone mineral density phenotypes in an African American population enriched for T2D could provide insight into ethnic specific differences in vitamin D metabolism and bone mineral density.
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Affiliation(s)
- Nicholette D. Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
- * E-mail: (NDP); (BIF)
| | - Lingyi Lu
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Thomas C. Register
- Department of Pathology, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Leon Lenchik
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - J. Jeffrey Carr
- Department of Radiology, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Pamela J. Hicks
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - S. Carrie Smith
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Jianzhao Xu
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Latchezar Dimitrov
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Jacob Keaton
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
- Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Meijian Guan
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Maggie C. Y. Ng
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Yii-der I. Chen
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Anthony J. Hanley
- Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Corinne D. Engelman
- Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America
| | - Jill M. Norris
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, United States of America
| | - Carl D. Langefeld
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Lynne E. Wagenknecht
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Donald W. Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Barry I. Freedman
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
- Department of Internal Medicine-Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
- * E-mail: (NDP); (BIF)
| | - Jasmin Divers
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
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Ayyagari R, Chen YDI, Zangwill LM, Holman M, Dirkes K, Hai Y, Arzumanyan Z, Slight R, Hammel N, Girkin CA, Liebmann JM, Feldman R, Dubiner H, Taylor KD, Rotter JI, Guo X, Weinreb RN. Association of severity of primary open-angle glaucoma with serum vitamin D levels in patients of African descent. Mol Vis 2019; 25:438-445. [PMID: 31523121 PMCID: PMC6707754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Accepted: 08/07/2019] [Indexed: 11/20/2022] Open
Abstract
Purpose To study the relationship between primary open-angle glaucoma (POAG) in a cohort of patients of African descent (AD) and serum vitamin D levels. Methods A subset of the AD and glaucoma evaluation study III (ADAGES III) cohort, consisting of 357 patients with a diagnosis of POAG and 178 normal controls of self-reported AD, were included in this analysis. Demographic information, family history, and blood samples were collected from all the participants. All the subjects underwent clinical evaluation, including visual field (VF) mean deviation (MD), central cornea thickness (CCT), intraocular pressure (IOP), and height and weight measurements. POAG patients were classified into early and advanced phenotypes based on the severity of their visual field damage, and they were matched for age, gender, and history of hypertension and diabetes. Serum 25-Hydroxy (25-OH) vitamin D levels were measured by enzyme-linked immunosorbent assay (ELISA). The association of serum vitamin D levels with the development and severity of POAG was tested by analysis of variance (ANOVA) and the paired t-test. Results The 178 early POAG subjects had a visual field MD of better than -4.0 dB, and the 179 advanced glaucoma subjects had a visual field MD of worse than -10 dB. The mean (95% confidence interval [CI]) levels of vitamin D of the subjects in the control (8.02 ± 6.19 pg/ml) and early phenotype (7.56 ± 5.74 pg/ml) groups were significantly or marginally significantly different from the levels observed in subjects with the advanced phenotype (6.35 ± 4.76 pg/ml; p = 0.0117 and 0.0543, respectively). In contrast, the mean serum vitamin D level in controls was not significantly different from that of the subjects with the early glaucoma phenotype (p = 0.8508). Conclusions In this AD cohort, patients with advanced glaucoma had lower serum levels of vitamin D compared with early glaucoma and normal subjects.
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Affiliation(s)
- Radha Ayyagari
- Viterbi Family Department of Ophthalmology, Shiley Eye Institute, Hamilton Glaucoma Center, UC San Diego, La Jolla, CA
| | - Yii-der I. Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Linda M. Zangwill
- Viterbi Family Department of Ophthalmology, Shiley Eye Institute, Hamilton Glaucoma Center, UC San Diego, La Jolla, CA
| | - Matt Holman
- Viterbi Family Department of Ophthalmology, Shiley Eye Institute, Hamilton Glaucoma Center, UC San Diego, La Jolla, CA
| | - Keri Dirkes
- Viterbi Family Department of Ophthalmology, Shiley Eye Institute, Hamilton Glaucoma Center, UC San Diego, La Jolla, CA
| | - Yang Hai
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Zorayr Arzumanyan
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Rigby Slight
- Viterbi Family Department of Ophthalmology, Shiley Eye Institute, Hamilton Glaucoma Center, UC San Diego, La Jolla, CA
| | - Naama Hammel
- Viterbi Family Department of Ophthalmology, Shiley Eye Institute, Hamilton Glaucoma Center, UC San Diego, La Jolla, CA
| | | | - Jeffrey M. Liebmann
- Bernard and Shirlee Brown Glaucoma Research Laboratory, Harkness Eye Institute, Columbia University Medical Center, New York, New York
| | - Robert Feldman
- Ruiz Department of Ophthalmology, University of Texas Health Science Center, Houston, TX
| | | | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Robert N. Weinreb
- Viterbi Family Department of Ophthalmology, Shiley Eye Institute, Hamilton Glaucoma Center, UC San Diego, La Jolla, CA
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Barfield R, Wang H, Liu Y, Brody JA, Swenson B, Li R, Bartz TM, Sotoodehnia N, Chen YDI, Cade BE, Chen H, Patel SR, Zhu X, Gharib SA, Johnson WC, Rotter JI, Saxena R, Purcell S, Lin X, Redline S, Sofer T. Epigenome-wide association analysis of daytime sleepiness in the Multi-Ethnic Study of Atherosclerosis reveals African-American-specific associations. Sleep 2019; 42:zsz101. [PMID: 31139831 PMCID: PMC6685317 DOI: 10.1093/sleep/zsz101] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Revised: 03/27/2019] [Indexed: 02/07/2023] Open
Abstract
STUDY OBJECTIVES Daytime sleepiness is a consequence of inadequate sleep, sleep-wake control disorder, or other medical conditions. Population variability in prevalence of daytime sleepiness is likely due to genetic and biological factors as well as social and environmental influences. DNA methylation (DNAm) potentially influences multiple health outcomes. Here, we explored the association between DNAm and daytime sleepiness quantified by the Epworth Sleepiness Scale (ESS). METHODS We performed multi-ethnic and ethnic-specific epigenome-wide association studies for DNAm and ESS in the Multi-Ethnic Study of Atherosclerosis (MESA; n = 619) and the Cardiovascular Health Study (n = 483), with cross-study replication and meta-analysis. Genetic variants near ESS-associated DNAm were analyzed for methylation quantitative trait loci and followed with replication of genotype-sleepiness associations in the UK Biobank. RESULTS In MESA only, we detected four DNAm-ESS associations: one across all race/ethnic groups; three in African-Americans (AA) only. Two of the MESA AA associations, in genes KCTD5 and RXRA, nominally replicated in CHS (p-value < 0.05). In the AA meta-analysis, we detected 14 DNAm-ESS associations (FDR q-value < 0.05, top association p-value = 4.26 × 10-8). Three DNAm sites mapped to genes (CPLX3, GFAP, and C7orf50) with biological relevance. We also found evidence for associations with DNAm sites in RAI1, a gene associated with sleep and circadian phenotypes. UK Biobank follow-up analyses detected SNPs in RAI1, RXRA, and CPLX3 with nominal sleepiness associations. CONCLUSIONS We identified methylation sites in multiple genes possibly implicated in daytime sleepiness. Most significant DNAm-ESS associations were specific to AA. Future work is needed to identify mechanisms driving ancestry-specific methylation effects.
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Affiliation(s)
- Richard Barfield
- Department of Epidemiology, University of Washington, Seattle, WA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Heming Wang
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Brenton Swenson
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Institute for Public Health Genetics, University of Washington, Seattle, WA
| | - Ruitong Li
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Institute for Public Health Genetics, University of Washington, Seattle, WA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Yii-der I Chen
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA
| | - Brian E Cade
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
| | - Han Chen
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
- Center for Precision Health, School of Public Health & School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX
| | - Sanjay R Patel
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH
| | - Sina A Gharib
- Computational Medicine Core, Center for Lung Biology, University of Washington Medicine Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington, Seattle, WA
| | - W Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA
| | - Richa Saxena
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
- Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA
| | - Shaun Purcell
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Department of Psychiatry, Brigham & Women’s Hospital, Harvard Medical School, Boston, MA
| | - Xihong Lin
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Statistics, Harvard University, Cambridge, MA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
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Meng W, Shah KP, Pollack S, Toppila I, Hebert HL, McCarthy MI, Groop L, Ahlqvist E, Lyssenko V, Agardh E, Daniell M, Kaidonis G, Craig JE, Mitchell P, Liew G, Kifley A, Wang JJ, Christiansen MW, Jensen RA, Penman A, Hancock HA, Chen CJ, Correa A, Kuo JZ, Li X, Chen YDI, Rotter JI, Klein R, Klein B, Wong TY, Morris AD, Doney AS, Colhoun HM, Price AL, Burdon KP, Groop PH, Sandholm N, Grassi MA, Sobrin L, Palmer CN. A genome-wide association study suggests new evidence for an association of the NADPH Oxidase 4 (NOX4) gene with severe diabetic retinopathy in type 2 diabetes. Acta Ophthalmol 2018; 96:e811-e819. [PMID: 30178632 PMCID: PMC6263819 DOI: 10.1111/aos.13769] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Accepted: 03/01/2018] [Indexed: 12/29/2022]
Abstract
Purpose Diabetic retinopathy is the most common eye complication in patients with diabetes. The purpose of this study is to identify genetic factors contributing to severe diabetic retinopathy. Methods A genome‐wide association approach was applied. In the Genetics of Diabetes Audit and Research in Tayside Scotland (GoDARTS) datasets, cases of severe diabetic retinopathy were defined as type 2 diabetic patients who were ever graded as having severe background retinopathy (Level R3) or proliferative retinopathy (Level R4) in at least one eye according to the Scottish Diabetic Retinopathy Grading Scheme or who were once treated by laser photocoagulation. Controls were diabetic individuals whose longitudinal retinopathy screening records were either normal (Level R0) or only with mild background retinopathy (Level R1) in both eyes. Significant Single Nucleotide Polymorphisms (SNPs) were taken forward for meta‐analysis using multiple Caucasian cohorts. Results Five hundred and sixty cases of type 2 diabetes with severe diabetic retinopathy and 4,106 controls were identified in the GoDARTS cohort. We revealed that rs3913535 in the NADPH Oxidase 4 (NOX4) gene reached a p value of 4.05 × 10−9. Two nearby SNPs, rs10765219 and rs11018670 also showed promising p values (p values = 7.41 × 10−8 and 1.23 × 10−8, respectively). In the meta‐analysis using multiple Caucasian cohorts (excluding GoDARTS), rs10765219 and rs11018670 showed associations for diabetic retinopathy (p = 0.003 and 0.007, respectively), while the p value of rs3913535 was not significant (p = 0.429). Conclusion This genome‐wide association study of severe diabetic retinopathy suggests new evidence for the involvement of the NOX4 gene.
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Zangwill LM, Ayyagari R, Liebmann JM, Girkin CA, Feldman R, Dubiner H, Dirkes KA, Holmann M, Williams-Steppe E, Hammel N, Saunders LJ, Vega S, Sandow K, Roll K, Slight R, Auerbach D, Samuels BC, Panarelli JF, Mitchell JP, Al-Aswad LA, Park SC, Tello C, Cotliar J, Bansal R, Sidoti PA, Cioffi GA, Blumberg D, Ritch R, Bell NP, Blieden LS, Davis G, Medeiros FA, Ng MCY, Das SK, Palmer ND, Divers J, Langefeld CD, Freedman BI, Bowden DW, Christopher MA, Chen YDI, Guo X, Taylor KD, Rotter JI, Weinreb RN. The African Descent and Glaucoma Evaluation Study (ADAGES) III: Contribution of Genotype to Glaucoma Phenotype in African Americans: Study Design and Baseline Data. Ophthalmology 2018; 126:156-170. [PMID: 29361356 DOI: 10.1016/j.ophtha.2017.11.031] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 11/22/2017] [Accepted: 11/22/2017] [Indexed: 12/12/2022] Open
Abstract
PURPOSE To describe the study protocol and baseline characteristics of the African Descent and Glaucoma Evaluation Study (ADAGES) III. DESIGN Cross-sectional, case-control study. PARTICIPANTS Three thousand two hundred sixty-six glaucoma patients and control participants without glaucoma of African or European descent were recruited from 5 study centers in different regions of the United States. METHODS Individuals of African descent (AD) and European descent (ED) with primary open-angle glaucoma (POAG) and control participants completed a detailed demographic and medical history interview. Standardized height, weight, and blood pressure measurements were obtained. Saliva and blood samples to provide serum, plasma, DNA, and RNA were collected for standardized processing. Visual fields, stereoscopic disc photographs, and details of the ophthalmic examination were obtained and transferred to the University of California, San Diego, Data Coordinating Center for standardized processing and quality review. MAIN OUTCOME MEASURES Participant gender, age, race, body mass index, blood pressure, history of smoking and alcohol use in POAG patients and control participants were described. Ophthalmic measures included intraocular pressure, visual field mean deviation, central corneal thickness, glaucoma medication use, or past glaucoma surgery. Ocular conditions, including diabetic retinopathy, age-related macular degeneration, and past cataract surgery, were recorded. RESULTS The 3266 ADAGES III study participants in this report include 2146 AD POAG patients, 695 ED POAG patients, 198 AD control participants, and 227 ED control participants. The AD POAG patients and control participants were significantly younger (both, 67.4 years) than ED POAG patients and control participants (73.4 and 70.2 years, respectively). After adjusting for age, AD POAG patients had different phenotypic characteristics compared with ED POAG patients, including higher intraocular pressure, worse visual acuity and visual field mean deviation, and thinner corneas (all P < 0.001). Family history of glaucoma did not differ between AD and ED POAG patients. CONCLUSIONS With its large sample size, extensive specimen collection, and deep phenotyping of AD and ED glaucoma patients and control participants from different regions in the United States, the ADAGES III genomics study will address gaps in our knowledge of the genetics of POAG in this high-risk population.
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Affiliation(s)
- Linda M Zangwill
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Radha Ayyagari
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Jeffrey M Liebmann
- Bernard and Shirlee Brown Glaucoma Research Laboratory, Harkness Eye Institute, Columbia University Medical Center, New York, New York
| | - Christopher A Girkin
- Department of Ophthalmology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Robert Feldman
- Ruiz Department of Ophthalmology & Visual Science, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas
| | | | - Keri A Dirkes
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Matthew Holmann
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Eunice Williams-Steppe
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Naama Hammel
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Luke J Saunders
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Suzanne Vega
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Kevin Sandow
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-University of California, Los Angeles Medical Center, Torrance, California
| | - Kathryn Roll
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-University of California, Los Angeles Medical Center, Torrance, California
| | - Rigby Slight
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Daniel Auerbach
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Brian C Samuels
- Department of Ophthalmology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Joseph F Panarelli
- Einhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, New York
| | - John P Mitchell
- Bernard and Shirlee Brown Glaucoma Research Laboratory, Harkness Eye Institute, Columbia University Medical Center, New York, New York
| | - Lama A Al-Aswad
- Ruiz Department of Ophthalmology & Visual Science, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas
| | - Sung Chul Park
- Einhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, New York
| | - Celso Tello
- Einhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, New York
| | - Jeremy Cotliar
- Bernard and Shirlee Brown Glaucoma Research Laboratory, Harkness Eye Institute, Columbia University Medical Center, New York, New York
| | - Rajendra Bansal
- Bernard and Shirlee Brown Glaucoma Research Laboratory, Harkness Eye Institute, Columbia University Medical Center, New York, New York
| | - Paul A Sidoti
- Einhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, New York
| | - George A Cioffi
- Bernard and Shirlee Brown Glaucoma Research Laboratory, Harkness Eye Institute, Columbia University Medical Center, New York, New York
| | - Dana Blumberg
- Bernard and Shirlee Brown Glaucoma Research Laboratory, Harkness Eye Institute, Columbia University Medical Center, New York, New York
| | - Robert Ritch
- Einhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, New York
| | - Nicholas P Bell
- Ruiz Department of Ophthalmology & Visual Science, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas
| | - Lauren S Blieden
- Ruiz Department of Ophthalmology & Visual Science, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas
| | - Garvin Davis
- Ruiz Department of Ophthalmology & Visual Science, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas
| | - Felipe A Medeiros
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Maggie C Y Ng
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina; Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Swapan K Das
- Department of Internal Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina; Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Nicholette D Palmer
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina; Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina; Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, North Carolina; Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Jasmin Divers
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, North Carolina; Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Carl D Langefeld
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, North Carolina; Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Barry I Freedman
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina; Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, North Carolina; Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Donald W Bowden
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina; Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina; Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Mark A Christopher
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California
| | - Yii-der I Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-University of California, Los Angeles Medical Center, Torrance, California
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-University of California, Los Angeles Medical Center, Torrance, California
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-University of California, Los Angeles Medical Center, Torrance, California
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-University of California, Los Angeles Medical Center, Torrance, California
| | - Robert N Weinreb
- Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California, San Diego, La Jolla, California.
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7
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Xu N, Barlow GM, Cui J, Wang ET, Lee B, Akhlaghpour M, Kroener L, Williams J, Rotter JI, Chen YDI, Goodarzi MO, Pisarska MD. Comparison of Genome-Wide and Gene-Specific DNA Methylation Profiling in First-Trimester Chorionic Villi From Pregnancies Conceived With Infertility Treatments. Reprod Sci 2016; 24:996-1004. [PMID: 28090815 DOI: 10.1177/1933719116675056] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Assisted reproductive technologies are associated with altered methylation in term placenta. However, it is unclear whether methylation patterns are the result of fertility treatments or intrauterine environment. Thus, we set out to determine whether there are differences in the first-trimester placenta that may be altered by the underlying fertility treatments. Genome-wide DNA methylation analyses from chorionic villus sampling (CVS) from matched singleton pregnancies conceived using in vitro fertilization (IVF), non-IVF fertility treatment (NIFT), or those conceived spontaneously were performed using Illumina Infinium HumanMethylation450 BeadChip from 15 matched CVS samples. Nanofluidic quantitative polymerase chain reaction (qPCR) of differently methylated genes was performed in a confirmatory cohort of 23 IVF conceptions and 24 NIFT conceptions. RESULTS Global methylation was similar among the IVF, NIFT, and spontaneous conceptions. However, differential methylation from IVF and NIFT pregnancies was present at 34 CpG sites, which was significantly different. Of those, 14 corresponded to known genes, with methylation changes detected at multiple loci in 3 genes, anaphase-promoting complex subunit 2 ( ANAPC2), C-X-C motif chemokine ligand 14 ( CXCL14), and regulating synaptic membrane exocytosis 1 ( RIMS1). Nanofluidic qPCR of differentially methylated genes identified pre T-cell antigen receptor alpha ( PTCRA) to be significantly downregulated in IVF versus NIFT conceptions. CONCLUSION Although global methylation patterns are similar, there are differences in methylation of specific genes in IVF compared to NIFT conceptions, leading to altered gene expression. PTCRA was differentially methylated and downregulated in IVF conceptions, warranting further investigation. It remains to be determined whether these changes affect placentation and whether it is due to the more profound underlying infertility requiring IVF, yet these data provide unique insight into the first-trimester placental epigenome.
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Affiliation(s)
- Ning Xu
- 1 Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Gillian M Barlow
- 2 Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jinrui Cui
- 1 Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Erica T Wang
- 2 Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.,3 UCLA School of Medicine, Los Angeles, CA, USA
| | - Bora Lee
- 2 Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Marzieh Akhlaghpour
- 2 Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Lindsay Kroener
- 2 Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.,3 UCLA School of Medicine, Los Angeles, CA, USA
| | - John Williams
- 3 UCLA School of Medicine, Los Angeles, CA, USA.,4 Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jerome I Rotter
- 5 Institute for Translational Genomics and Population Sciences, LA Biomed/Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Yii-der I Chen
- 5 Institute for Translational Genomics and Population Sciences, LA Biomed/Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Mark O Goodarzi
- 1 Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.,3 UCLA School of Medicine, Los Angeles, CA, USA
| | - Margareta D Pisarska
- 2 Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.,3 UCLA School of Medicine, Los Angeles, CA, USA
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8
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Pisarska MD, Akhlaghpour M, Lee B, Barlow GM, Xu N, Wang ET, Mackey AJ, Farber CR, Rich SS, Rotter JI, Chen YDI, Goodarzi MO, Guller S, Williams J. Optimization of techniques for multiple platform testing in small, precious samples such as human chorionic villus sampling. Prenat Diagn 2016; 36:1061-1070. [PMID: 27718505 DOI: 10.1002/pd.4936] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Revised: 09/02/2016] [Accepted: 10/05/2016] [Indexed: 12/24/2022]
Abstract
BACKGROUND Multiple testing to understand global changes in gene expression based on genetic and epigenetic modifications is evolving. Chorionic villi, obtained for prenatal testing, is limited, but can be used to understand ongoing human pregnancies. However, optimal storage, processing and utilization of CVS for multiple platform testing have not been established. RESULTS Leftover CVS samples were flash-frozen or preserved in RNAlater. Modifications to standard isolation kits were performed to isolate quality DNA and RNA from samples as small as 2-5 mg. RNAlater samples had significantly higher RNA yields and quality and were successfully used in microarray and RNA-sequencing (RNA-seq). RNA-seq libraries generated using 200 versus 800-ng RNA showed similar biological coefficients of variation. RNAlater samples had lower DNA yields and quality, which improved by heating the elution buffer to 70 °C. Purification of DNA was not necessary for bisulfite-conversion and genome-wide methylation profiling. CVS cells were propagated and continue to express genes found in freshly isolated chorionic villi. CONCLUSIONS CVS samples preserved in RNAlater are superior. Our optimized techniques provide specimens for genetic, epigenetic and gene expression studies from a single small sample which can be used to develop diagnostics and treatments using a systems biology approach in the prenatal period. © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Margareta D Pisarska
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.,Department of Obstetrics and Gynecology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Marzieh Akhlaghpour
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Bora Lee
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Gillian M Barlow
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ning Xu
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Erica T Wang
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.,Department of Obstetrics and Gynecology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Aaron J Mackey
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Charles R Farber
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, LABiomed/Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Yii-der I Chen
- Institute for Translational Genomics and Population Sciences, LABiomed/Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Seth Guller
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, New Haven, CT, USA
| | - John Williams
- Department of Obstetrics and Gynecology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.,Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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9
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Lee B, Kroener LL, Xu N, Wang ET, Banks A, Williams J, Goodarzi MO, Chen YDI, Tang J, Wang Y, Gangalapudi V, Pisarska MD. Function and Hormonal Regulation of GATA3 in Human First Trimester Placentation. Biol Reprod 2016; 95:113. [PMID: 27733378 PMCID: PMC5178150 DOI: 10.1095/biolreprod.116.141861] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2016] [Revised: 06/01/2016] [Accepted: 09/30/2016] [Indexed: 12/23/2022] Open
Abstract
Pregnancies resulting from fresh in vitro fertilization (IVF) cycles exposed to supraphysiologic estrogen levels have been associated with higher rates of low birth weight and small for gestational age babies. We identified GATA3, a transcription factor selectively expressed in the trophectoderm during the blastocyst stage of embryo development, in an upstream analysis of genes that were differentially methylated in chorionic villus samples between IVF and non-IVF infertility treatment pregnancies. In this study, we investigate the hypothesis that GATA3 is hormonally regulated and plays an important functional role in trophoblast migration, invasion, and placentation. We found that GATA3 expression was hormonally regulated by estradiol in HTR8/SVneo first trimester trophoblast cells; however, no change in expression was seen with progesterone treatment. Furthermore, GATA3 knockdown resulted in decreased HTR8/SVneo cell migration and invasion compared with controls. RNA sequencing of GATA3 knockdown cells demonstrated 96 differentially regulated genes compared with controls. Genes known to play an important role in cell-cell and cell-extracellular matrix interactions, cell invasion, and placentation were identified, including CTGF, CYR61, ADAMTS12, and TIMP3. Our results demonstrate estradiol down-regulates GATA3, and decreased GATA3 expression leads to impaired trophoblast cell migration and invasion, likely through regulation of downstream genes important in placentation. These results are consistent with clinical data suggesting that supraphysiologic estrogen levels seen in IVF pregnancies may play an important role in attenuated trophoblast migration, invasion, and impaired placentation. GATA3 appears to be an important regulator of placentation and may play a role in impaired outcomes associated with fresh IVF cycles.
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Affiliation(s)
- Bora Lee
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California
| | - Lindsay L Kroener
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California.,UCLA School of Medicine, Los Angeles, California
| | - Ning Xu
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Erica T Wang
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California.,UCLA School of Medicine, Los Angeles, California
| | - Alexandra Banks
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California
| | - John Williams
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Cedars-Sinai-Medical Center, Los Angeles, California
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Yii-der I Chen
- Institute for Translational Genomics and Population Sciences, LABiomed/Harbor-UCLA Medical Center, Torrance, California
| | - Jie Tang
- Genomics Core, Cedars-Sinai Medical Center, Los Angeles, California
| | - Yizhou Wang
- Genomics Core, Cedars-Sinai Medical Center, Los Angeles, California
| | | | - Margareta D Pisarska
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California .,UCLA School of Medicine, Los Angeles, California
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10
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Teslovich TM, Musunuru K, Smith AV, Edmondson AC, Stylianou IM, Koseki M, Pirruccello JP, Ripatti S, Chasman DI, Willer CJ, Johansen CT, Fouchier SW, Isaacs A, Peloso GM, Barbalic M, Ricketts SL, Bis JC, Aulchenko YS, Thorleifsson G, Feitosa MF, Chambers J, Orho-Melander M, Melander O, Johnson T, Li X, Guo X, Li M, Cho YS, Go MJ, Kim YJ, Lee JY, Park T, Kim K, Sim X, Ong RTH, Croteau-Chonka DC, Lange LA, Smith JD, Song K, Zhao JH, Yuan X, Luan J, Lamina C, Ziegler A, Zhang W, Zee RY, Wright AF, Witteman JC, Wilson JF, Willemsen G, Wichmann HE, Whitfield JB, Waterworth DM, Wareham NJ, Waeber G, Vollenweider P, Voight BF, Vitart V, Uitterlinden AG, Uda M, Tuomilehto J, Thompson JR, Tanaka T, Surakka I, Stringham HM, Spector TD, Soranzo N, Smit JH, Sinisalo J, Silander K, Sijbrands EJ, Scuteri A, Scott J, Schlessinger D, Sanna S, Salomaa V, Saharinen J, Sabatti C, Ruokonen A, Rudan I, Rose LM, Roberts R, Rieder M, Psaty BM, Pramstaller PP, Pichler I, Perola M, Penninx BW, Pedersen NL, Pattaro C, Parker AN, Pare G, Oostra BA, O'Donnell CJ, Nieminen MS, Nickerson DA, Montgomery GW, Meitinger T, McPherson R, McCarthy MI, McArdle W, Masson D, Martin NG, Marroni F, Mangino M, Magnusson PK, Lucas G, Luben R, Loos RJF, Lokki M, Lettre G, Langenberg C, Launer LJ, Lakatta EG, Laaksonen R, Kyvik KO, Kronenberg F, König IR, Khaw KT, Kaprio J, Kaplan LM, Johansson Å, Jarvelin MR, Janssens ACJ, Ingelsson E, Igl W, Hovingh GK, Hottenga JJ, Hofman A, Hicks AA, Hengstenberg C, Heid IM, Hayward C, Havulinna AS, Hastie ND, Harris TB, Haritunians T, Hall AS, Gyllensten U, Guiducci C, Groop LC, Gonzalez E, Gieger C, Freimer NB, Ferrucci L, Erdmann J, Elliott P, Ejebe KG, Döring A, Dominiczak AF, Demissie S, Deloukas P, de Geus EJ, de Faire U, Crawford G, Collins FS, Chen YDI, Caulfield MJ, Campbell H, Burtt NP, Bonnycastle LL, Boomsma DI, Boekholdt SM, Bergman RN, Barroso I, Bandinelli S, Ballantyne CM, Assimes TL, Quertermous T, Altshuler D, Seielstad M, Wong TY, Tai ES, Feranil AB, Kuzawa CW, Adair LS, Taylor HA, Borecki IB, Gabriel SB, Wilson JG, Stefansson K, Thorsteinsdottir U, Gudnason V, Krauss RM, Mohlke KL, Ordovas JM, Munroe PB, Kooner JS, Tall AR, Hegele RA, Kastelein JJ, Schadt EE, Rotter JI, Boerwinkle E, Strachan DP, Mooser V, Holm H, Reilly MP, Samani NJ, Schunkert H, Cupples LA, Sandhu MS, Ridker PM, Rader DJ, van Duijn CM, Peltonen L, Abecasis GR, Boehnke M, Kathiresan S. Biological, clinical and population relevance of 95 loci for blood lipids. Nature 2010; 466:707-13. [PMID: 20686565 PMCID: PMC3039276 DOI: 10.1038/nature09270] [Citation(s) in RCA: 2737] [Impact Index Per Article: 195.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2010] [Accepted: 06/11/2010] [Indexed: 11/09/2022]
Abstract
Plasma concentrations of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides are among the most important risk factors for coronary artery disease (CAD) and are targets for therapeutic intervention. We screened the genome for common variants associated with plasma lipids in >100,000 individuals of European ancestry. Here we report 95 significantly associated loci (P < 5 x 10(-8)), with 59 showing genome-wide significant association with lipid traits for the first time. The newly reported associations include single nucleotide polymorphisms (SNPs) near known lipid regulators (for example, CYP7A1, NPC1L1 and SCARB1) as well as in scores of loci not previously implicated in lipoprotein metabolism. The 95 loci contribute not only to normal variation in lipid traits but also to extreme lipid phenotypes and have an impact on lipid traits in three non-European populations (East Asians, South Asians and African Americans). Our results identify several novel loci associated with plasma lipids that are also associated with CAD. Finally, we validated three of the novel genes-GALNT2, PPP1R3B and TTC39B-with experiments in mouse models. Taken together, our findings provide the foundation to develop a broader biological understanding of lipoprotein metabolism and to identify new therapeutic opportunities for the prevention of CAD.
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Affiliation(s)
- Tanya M. Teslovich
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Kiran Musunuru
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute, Cambridge, Massachusetts 02142, USA
- Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Albert V. Smith
- Icelandic Heart Association, Heart Preventive Clinic and Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Andrew C. Edmondson
- Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
| | - Ioannis M. Stylianou
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
| | - Masahiro Koseki
- Division of Molecular Medicine, Department of Medicine, Columbia University, New York, New York 10032, USA
| | - James P. Pirruccello
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Broad Institute, Cambridge, Massachusetts 02142, USA
- Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, P.O. Box 20, FI-00014 Helsinki, Finland
- National Institute for Health and Welfare, P.O. Box 104, FI-00251 Helsinki, Finland
| | - Daniel I. Chasman
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston Massachusetts 02215, USA
| | - Cristen J. Willer
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | | | - Sigrid W. Fouchier
- Department of Vascular Medicine, Academic Medical Centre at the University of Amsterdam, Amsterdam, The Netherlands
| | - Aaron Isaacs
- Department of Epidemiology, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Gina M. Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
- National Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, Massachusetts 01702, USA
| | - Maja Barbalic
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas 77030, USA
| | - Sally L. Ricketts
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK
| | - Joshua C. Bis
- Cardiovascular Health Research Unit and Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Yurii S. Aulchenko
- Department of Epidemiology, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | | | - Mary F. Feitosa
- Division of Statistical Genomics in the Center for Genome Sciences, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - John Chambers
- Department of Epidemiology and Public Health, Imperial College London, London W2 1PG, UK
| | | | - Olle Melander
- Department of Clinical Sciences, Lund University, SE 205 02, Malmö, Sweden
| | - Toby Johnson
- Clinical Pharmacology and Barts and the London Genome Centre, William Harvey Research Institute, Barts and the London School of Medicine, Queen Mary University of London, London EC1M 6BQ, UK
| | - Xiaohui Li
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Xiuqing Guo
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Mingyao Li
- Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
| | - Yoon Shin Cho
- Center for Genome Science, National Institute of Health, Seoul, Korea
| | - Min Jin Go
- Center for Genome Science, National Institute of Health, Seoul, Korea
| | - Young Jin Kim
- Center for Genome Science, National Institute of Health, Seoul, Korea
| | - Jong-Young Lee
- Center for Genome Science, National Institute of Health, Seoul, Korea
| | - Taesung Park
- Interdisciplinary Program in Bioinformatics, College of Natural Science, Seoul National University, Seoul, Korea
- Department of Statistics, College of Natural Science, Seoul National University, Seoul, Korea
| | - Kyunga Kim
- Department of Statistics, Sookmyung Women's University, Seoul, Korea
| | - Xueling Sim
- Centre for Molecular Epidemiology, National University of Singapore, Singapore
| | | | | | - Leslie A. Lange
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Joshua D. Smith
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Kijoung Song
- Genetics Division, GlaxoSmithKline R&D, King of Prussia, Pennsylvania, USA
| | - Jing Hua Zhao
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Xin Yuan
- Genetics Division, GlaxoSmithKline R&D, King of Prussia, Pennsylvania, USA
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Claudia Lamina
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Schoepfstrasse 41, A-6020 Innsbruck, Austria
| | | | - Andreas Ziegler
- Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Lübeck, Germany
| | - Weihua Zhang
- Department of Epidemiology and Public Health, Imperial College London, London W2 1PG, UK
| | - Robert Y.L. Zee
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston Massachusetts 02215, USA
| | - Alan F. Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | - Jacqueline C.M. Witteman
- Department of Epidemiology, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA) and Center of Medical Systems Biology (CMSB), The Netherlands
| | - James F. Wilson
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands
| | - H-Erich Wichmann
- Institute of Epidemiology, Helmholtz Zentrum Munchen – German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - John B. Whitfield
- Genetic Epidemiology Unit, Queensland Institute of Medical Research, PO Royal Brisbane Hospital, Queensland 4029, Australia
| | - Dawn M. Waterworth
- Genetics Division, GlaxoSmithKline R&D, King of Prussia, Pennsylvania, USA
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Gérard Waeber
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Peter Vollenweider
- Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Benjamin F. Voight
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Broad Institute, Cambridge, Massachusetts 02142, USA
| | - Veronique Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | - Andre G. Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA) and Center of Medical Systems Biology (CMSB), The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, PO Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Manuela Uda
- Istituto di Neurogenetica e Neurofarmacologia (INN), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari 09042, Italy
| | - Jaakko Tuomilehto
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - John R. Thompson
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Toshiko Tanaka
- Clinical Research Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21225, USA
- Medstar Research Institute, Baltimore, Maryland, USA
| | - Ida Surakka
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, P.O. Box 20, FI-00014 Helsinki, Finland
- National Institute for Health and Welfare, P.O. Box 104, FI-00251 Helsinki, Finland
| | - Heather M. Stringham
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Tim D. Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Nicole Soranzo
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | - Johannes H. Smit
- Department of Psychiatry, EMGO Institute, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Juha Sinisalo
- Division of Cardiology, Department of Medicine, Helsinki University Central Hospital (HUCH), Helsinki, Finland
| | - Kaisa Silander
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, P.O. Box 20, FI-00014 Helsinki, Finland
- National Institute for Health and Welfare, P.O. Box 104, FI-00251 Helsinki, Finland
| | - Eric J.G. Sijbrands
- Department of Epidemiology, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, PO Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Angelo Scuteri
- Unita Operativa Geriatria, Istituto Nazionale Ricovero e Cura Anziani (INRCA), Istituto Ricovero e Cura a Carattere Scientifico (IRCCS), Via Cassia 1167, 00189 Rome, Italy
| | - James Scott
- Hammersmith Hospital, National Heart and Lung Institute, Imperial College London, London W12 0NN, UK
| | - David Schlessinger
- Gerontology Research Center, National Institute on Aging, 5600 Nathan Shock Drive, Baltimore, Maryland 21224, USA
| | - Serena Sanna
- Istituto di Neurogenetica e Neurofarmacologia (INN), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari 09042, Italy
| | - Veikko Salomaa
- National Institute for Health and Welfare, P.O. Box 104, FI-00251 Helsinki, Finland
| | - Juha Saharinen
- FIMM, Institute for Molecular Medicine, Finland, Biomedicum, P.O. Box 104, 00251 Helsinki, Finland
| | - Chiara Sabatti
- Department of Human Genetics, UCLA School of Medicine, University of California, 695 Charles E. Young Drive South, Los Angeles, California 90095, USA
| | - Aimo Ruokonen
- Department of Clinical Chemistry, University of Oulu, 90220 Oulu, Finland
| | - Igor Rudan
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Lynda M. Rose
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston Massachusetts 02215, USA
| | - Robert Roberts
- The John & Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa, Ottawa, Canada
| | - Mark Rieder
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Bruce M. Psaty
- Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA; Group Health Research Institute, Group Health Cooperative, Seattle, Washington, USA
| | - Peter P. Pramstaller
- Institute of Genetic Medicine, European Academy Bozen/Bolzano (EURAC), Viale Druso 1, 39100 Bolzano, Italy – affiliated institute of the University of Lübeck, Germany
| | - Irene Pichler
- Institute of Genetic Medicine, European Academy Bozen/Bolzano (EURAC), Viale Druso 1, 39100 Bolzano, Italy – affiliated institute of the University of Lübeck, Germany
| | - Markus Perola
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, P.O. Box 20, FI-00014 Helsinki, Finland
- National Institute for Health and Welfare, P.O. Box 104, FI-00251 Helsinki, Finland
| | - Brenda W.J.H. Penninx
- Department of Psychiatry, EMGO Institute, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Nancy L. Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Cristian Pattaro
- Institute of Genetic Medicine, European Academy Bozen/Bolzano (EURAC), Viale Druso 1, 39100 Bolzano, Italy – affiliated institute of the University of Lübeck, Germany
| | | | - Guillaume Pare
- Genetic and Molecular Epidemiology Laboratory, McMaster University, Hamilton, Ontario L8N3Z5, Canada
| | - Ben A. Oostra
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Christopher J. O'Donnell
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
- National Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, Massachusetts 01702, USA
| | - Markku S. Nieminen
- Division of Cardiology, Department of Medicine, Helsinki University Central Hospital (HUCH), Helsinki, Finland
| | - Deborah A. Nickerson
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Grant W. Montgomery
- Genetic Epidemiology Unit, Queensland Institute of Medical Research, PO Royal Brisbane Hospital, Queensland 4029, Australia
| | - Thomas Meitinger
- Institut fur Humangenetik, Helmholtz Zentrum Munchen, Deutsches Forschungszentrum fur Umwelt und Gesundheit, D-85764 Neuherberg, Germany
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, 81675 Muenchen, Germany
| | - Ruth McPherson
- The John & Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa, Ottawa, Canada
| | - Mark I. McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK
- Oxford Centre for Diabetes, Endocrinology and Medicine, University of Oxford, Churchill Hospital, Oxford OX3 7LJ, UK
- Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford OX3 7LJ, UK
| | - Wendy McArdle
- Avon Longitudinal Study of Parents and Children, University of Bristol, Bristol, UK
| | - David Masson
- Division of Molecular Medicine, Department of Medicine, Columbia University, New York, New York 10032, USA
| | - Nicholas G. Martin
- Genetic Epidemiology Unit, Queensland Institute of Medical Research, PO Royal Brisbane Hospital, Queensland 4029, Australia
| | - Fabio Marroni
- Institute of Applied Genomics, via Linussio 51, 33100, Udine, Italy
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Patrik K.E. Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Gavin Lucas
- Cardiovascular Epidemiology and Genetics, Institut Municipal d'Investigacio Medica, 08003 Barcelona, Spain
| | - Robert Luben
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK
| | - Ruth J. F. Loos
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Maisa Lokki
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Guillaume Lettre
- Montreal Heart Institute (Research Center), Université de Montréal, Montréal, Québec, Canada
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Lenore J. Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute of Aging, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Edward G. Lakatta
- Gerontology Research Center, National Institute on Aging, 5600 Nathan Shock Drive, Baltimore, Maryland 21224, USA
| | - Reijo Laaksonen
- Science Center, Tampere University Hospital, Tampere, Finland
| | - Kirsten O. Kyvik
- Institute of Regional Health Research and the Danish Twin Registry, Institute of Public Health, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000, Odense, Denmark
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Schoepfstrasse 41, A-6020 Innsbruck, Austria
| | - Inke R. König
- Institut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Lübeck, Germany
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, P.O. Box 20, FI-00014 Helsinki, Finland
- National Institute for Health and Welfare, P.O. Box 104, FI-00251 Helsinki, Finland
- Faculty of Medicine, Department of Public Health, University of Helsinki, Helsinki, P.O. Box 41, FIN-00014, Finland
| | - Lee M. Kaplan
- Massachusetts General Hospital Weight Center, Boston, Massachusetts 02114, USA
| | - Åsa Johansson
- Department of Genetics and Pathology, Rudbeck Laboratory, University of Uppsala, Uppsala, Sweden
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology & Biostatistics, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK
- Department of Public Health Science and General Practice, University of Oulu, Finland
| | - A. Cecile J.W. Janssens
- Department of Epidemiology, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Erik Ingelsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Wilmar Igl
- Department of Genetics and Pathology, Rudbeck Laboratory, University of Uppsala, Uppsala, Sweden
| | - G. Kees Hovingh
- Department of Vascular Medicine, Academic Medical Centre at the University of Amsterdam, Amsterdam, The Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, VU University Amsterdam, Van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA) and Center of Medical Systems Biology (CMSB), The Netherlands
| | - Andrew A. Hicks
- Institute of Genetic Medicine, European Academy Bozen/Bolzano (EURAC), Viale Druso 1, 39100 Bolzano, Italy – affiliated institute of the University of Lübeck, Germany
| | - Christian Hengstenberg
- Klinik und Poliklinik für Innere Medizin II, Universität Regensburg, Regensburg, Germany
| | - Iris M. Heid
- Institute of Epidemiology, Helmholtz Zentrum Munchen – German Research Center for Environmental Health, 85764 Neuherberg, Germany
- Department of Epidemiology and Preventive Medicine Regensburg University Medical Center Franz-Josef-Strauss-Allee 11 93053 Regensburg, Germany
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | - Aki S. Havulinna
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
- Department of Biomedical Engineering and Computational Science, Helsinki University of Technology, Espoo, Finland
| | - Nicholas D. Hastie
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | - Tamara B. Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute of Aging, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Talin Haritunians
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Alistair S. Hall
- LIGHT Research Institute, Faculty of Medicine and Health, University of Leeds, Leeds, UK
| | - Ulf Gyllensten
- Department of Genetics and Pathology, Rudbeck Laboratory, University of Uppsala, Uppsala, Sweden
| | | | - Leif C. Groop
- Department of Clinical Sciences, Lund University, SE 205 02, Malmö, Sweden
- Department of Medicine, Helsinki University Hospital, Helsinki 00029, Finland
| | | | - Christian Gieger
- Institute of Epidemiology, Helmholtz Zentrum Munchen – German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Nelson B. Freimer
- Department of Psychiatry, Center for Neurobehavioral Genetics, The Jane and Terry Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA
| | - Luigi Ferrucci
- Clinical Research Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21225, USA
| | | | - Paul Elliott
- Department of Epidemiology & Biostatistics, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK
- MRC-HPA Centre for Environment and Health, Imperial College London, UK
| | | | - Angela Döring
- Institute of Epidemiology, Helmholtz Zentrum Munchen – German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Anna F. Dominiczak
- BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK
| | - Serkalem Demissie
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
- National Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, Massachusetts 01702, USA
| | | | - Eco J.C. de Geus
- Department of Biological Psychology, VU University Amsterdam, Van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands
| | - Ulf de Faire
- Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, S-171 77 Stockholm, Sweden
| | | | - Francis S. Collins
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Yii-der I. Chen
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Mark J. Caulfield
- Clinical Pharmacology and Barts and the London Genome Centre, William Harvey Research Institute, Barts and the London School of Medicine, Queen Mary University of London, London EC1M 6BQ, UK
| | - Harry Campbell
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
| | - Noel P. Burtt
- Broad Institute, Cambridge, Massachusetts 02142, USA
| | - Lori L. Bonnycastle
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Dorret I. Boomsma
- Department of Biological Psychology, VU University Amsterdam, Van der Boechorststraat 1, 1081 BT Amsterdam, The Netherlands
| | - S. Matthijs Boekholdt
- Departments of Vascular Medicine & Cardiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Richard N. Bergman
- Department of Physiology and Biophysics, University of Southern California, Los Angeles, California 90033, USA
| | - Inês Barroso
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | | | | | - Themistocles L. Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Thomas Quertermous
- Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA
| | - David Altshuler
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute, Cambridge, Massachusetts 02142, USA
| | | | - Tien Y. Wong
- Singapore Eye Research Institute, National University of Singapore, Singapore
| | - E-Shyong Tai
- Departments of Medicine/Epidemiology and Public Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Alan B. Feranil
- Office of Population Studies Foundation, University of San Carlos, Cebu City 6000, Philippines
| | | | - Linda S. Adair
- Department of Nutrition, Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina 27516, USA
| | - Herman A. Taylor
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Ingrid B. Borecki
- Division of Statistical Genomics in the Center for Genome Sciences, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | | | - James G. Wilson
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | | | | | - Vilmundur Gudnason
- Icelandic Heart Association, Heart Preventive Clinic and Research Institute, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Ronald M. Krauss
- Children's Hospital Oakland Research Institute, Oakland, California 94609, USA
| | - Karen L. Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Jose M. Ordovas
- Department of Cardiovascular Epidemiology and Population Genetics, Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain, and Nutrition and Genomics Laboratory, Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging at Tufts University, Boston, Massachusetts 02111, USA
| | - Patricia B. Munroe
- Clinical Pharmacology and Barts and The London Genome Centre, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Jaspal S. Kooner
- Hammersmith Hospital, National Heart and Lung Institute, Imperial College London, London W12 0NN, UK
| | - Alan R. Tall
- Division of Molecular Medicine, Department of Medicine, Columbia University, New York, New York 10032, USA
| | - Robert A. Hegele
- Robarts Research Institute, University of Western Ontario, London, Ontario N6A 5K8, Canada
| | - John J.P. Kastelein
- Department of Vascular Medicine, Academic Medical Centre at the University of Amsterdam, Amsterdam, The Netherlands
| | | | - Jerome I. Rotter
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas 77030, USA
| | - David P. Strachan
- Division of Community Health Sciences, St George's, University of London, London, UK
| | - Vincent Mooser
- Genetics Division, GlaxoSmithKline R&D, King of Prussia, Pennsylvania, USA
| | | | - Muredach P. Reilly
- Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
| | - Nilesh J Samani
- FIMM, Institute for Molecular Medicine, Finland, Biomedicum, P.O. Box 104, 00251 Helsinki, Finland
- Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester, UK; Leicester NIHR Biomedical Research Unit in Cardiovascular Disease, Glenfield Hospital, Leicester, LE3 9QP, UK
| | | | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
- National Heart, Lung and Blood Institute's Framingham Heart Study, Framingham, Massachusetts 01702, USA
| | - Manjinder S. Sandhu
- Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | - Paul M Ridker
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston Massachusetts 02215, USA
| | - Daniel J. Rader
- Cardiovascular Institute, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA) and Center of Medical Systems Biology (CMSB), The Netherlands
| | - Leena Peltonen
- Broad Institute, Cambridge, Massachusetts 02142, USA
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, P.O. Box 20, FI-00014 Helsinki, Finland
- National Institute for Health and Welfare, P.O. Box 104, FI-00251 Helsinki, Finland
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | - Gonçalo R. Abecasis
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Michael Boehnke
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Sekar Kathiresan
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute, Cambridge, Massachusetts 02142, USA
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Hwu CM, Hsiao CF, Grove J, Hung YJ, Chuang LM, Chen YT, Curb JD, Chen YDI, Rodriguez B, Ho LT. Surrogate estimates of insulin sensitivity in subjects with hypertension. J Hum Hypertens 2007; 21:246-52. [PMID: 17230234 DOI: 10.1038/sj.jhh.1002137] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The purpose of the study is to compare surrogate estimates of insulin sensitivity with a directly measured insulin sensitivity index, steady-state plasma glucose (SSPG) from insulin suppression test (IST), in subjects with hypertension. Two hundred and twenty-eight hypertensive patients who received IST for SSPG were included for analysis. Estimates from fasting measurements alone, homeostasis model assessment for insulin resistance (HOMA-IR) and quantitative insulin sensitivity check index (QUICKI)), and indices from fasting and/or 2 h samples (ISI(0,120) and ISI(TX)) were calculated. In addition to Pearson and partial correlations, variance-component models were used to test the relationship between surrogate estimates of insulin sensitivity and SSPG. A large proportion of variance owing to covariates in the variance-component models indicated the goodness of model fit, irrespective of the independence among variables. SSPG was positively correlated with logarithmic transformation (Log) (HOMA-IR) and negatively correlated with QUICKI, Log (ISI(0,120)) and ISI(TX) (all P<0.0001). Log (ISI(0,120)) seemed to have a better correlation with SSPG (r=-0.72) than other measures in partial correlation. The proportion of variance owing to all covariates of Log (ISI(0,120)) and ISI(TX) were larger than those of Log (HOMA-IR) and QUICKI in the variance-component models. After adjustments for demographic and obesity covariates, the proportion of variance explained by Log (ISI(0,120)) were largest among the surrogate measures in the variance-component models. Our results showed that ISI(0,120) and ISI(TX) correlated better with SSPG than those used fasting measures alone (HOMA-IR and QUICKI). Log (ISI(0,120)) currently showing the strongest association with SSPG than other estimates is adaptable for use in large studies of hypertension.
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Affiliation(s)
- C M Hwu
- Department of Medicine, Section of General Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
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12
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Freedman BI, Rich SS, Sale MM, Heiss G, Djoussé L, Pankow JS, Province MA, Rao DC, Lewis CE, Chen YDI, Beck SR. Genome-wide scans for heritability of fasting serum insulin and glucose concentrations in hypertensive families. Diabetologia 2005; 48:661-8. [PMID: 15747111 DOI: 10.1007/s00125-005-1679-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2004] [Accepted: 11/07/2004] [Indexed: 10/25/2022]
Abstract
AIMS/HYPOTHESIS The heritability of fasting serum insulin and glucose concentrations in non-diabetic members of multiplex hypertensive families is unknown. METHODS We calculated the familial aggregation of fasting serum glucose and insulin concentrations and performed a genome-wide scan to assess whether quantitative trait loci contribute to these phenotypes in 2,412 non-diabetic individuals from 1,030 families enrolled in the Hypertension Genetic Epidemiology Network (HyperGEN) in the Family Blood Pressure Program. RESULTS The heritability (+/-SE) of fasting serum insulin was 0.47+/-0.085 in European Americans and 0.28+/-0.08 in African Americans (p<0.0001 for both), after adjusting for age, sex, and BMI. A genome-wide scan for fasting serum insulin yielded a maximum log of the odds (LOD) score of 2.36 on chromosome 5 at 20 cM (p=0.0004) in European Americans, and an LOD score of 2.28 on chromosome 19 at 11 cM (p=0.0004) in African Americans. The heritability of fasting serum glucose was 0.5109+/-0.08 in the former and 0.29+/-0.09 in the latter (p<0.0003 for both) after adjusting for age, sex and BMI. A genome-wide scan for fasting serum glucose revealed a maximum LOD score of 2.07 on chromosome 5 at 26 cM (p=0.0009) in European Americans. CONCLUSIONS/INTERPRETATION These analyses demonstrate the marked heritability of fasting serum insulin and glucose concentrations in families enriched for the presence of members with hypertension. They suggest that genes associated with fasting serum insulin concentration are present on chromosomes 19 and 5, and that genes associated with fasting serum glucose concentration are on chromosome 5, in families enriched for hypertension.
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Affiliation(s)
- B I Freedman
- Department of Internal Medicine, Section on Nephrology, The Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157-1053, USA.
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13
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Pei D, Chen TW, Kuo YL, Hung YJ, Hsieh CH, Wu LY, Chang JB, Chou TC, Chen YDI, Kuo SW. The effect of surgical stress on insulin sensitivity, glucose effectiveness and acute insulin response to glucose load. J Endocrinol Invest 2003; 26:397-402. [PMID: 12906365 DOI: 10.1007/bf03345193] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Hyperglycemia after stress is a very common clinical phenomenon. It is generally hypothesized that the underlying cause is a neuroendocrine-mediated deterioration in glucose metabolism. However, the detailed roles of insulin sensitivity, glucose effectiveness and acute insulin response to glucose load in response to stress have not been well established. Hernioplasty was used as a minor stress model for studying stress-induced hyperglycemia. Eleven healthy young men were enrolled voluntarily in this study. Their mean age was 22.0 +/- 0.9 yr and BMI 23.3 +/- 0.6 kg/m2. Frequently sampled i.v. glucose tolerance tests were performed one day before and one day after the surgery. Insulin sensitivity (SI), glucose effectiveness (EG) and area under acute insulin response (AIR) were calculated from "minimal model" algorithms. We also measured fasting concentrations of human GH, ACTH and F on the days of the test. Compared to the pre-operation data, levels of ACTH and F did not change significantly after the surgery. Only GH levels were marginally significant. On the other hand, the SI (0.75 +/- 0.1, 0.52 +/- 0.9 x 10(-5) min(-1)/pmol, p = 0.04), EG (0.023 +/- 0.03, 0.016 +/- 0.003 min(-1), p = 0.01) and AIR (6738.5 +/- 1111.6, 5130.0 +/- 1047.2 pmol, p = 0.005) were all significantly decreased after surgery. The percentages of decrease were 16.3 +/- 15.5, 32.1 +/- 10.3 and 17.8 +/- 10.3%, respectively. Finally, only the changes of EG positively correlate with the changes of ACTH before and after surgery. No significant changes were noted among other stress hormones and the changes of SI, EG and AIR. In conclusion, hernioplasty results in reduced SI, EG and AIR. Among them, although not statistically significant, the EG showed the most distinct decrease after the surgery, which has not been found in previous literature.
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Affiliation(s)
- D Pei
- Department of Internal Medicine, UCLA and Cedars-Sinai Medical Center, Los Angeles, CA, USA.
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Ranade K, Jorgenson E, Sheu WHH, Pei D, Hsiung CA, Chiang FT, Chen YDI, Pratt R, Olshen RA, Curb D, Cox DR, Botstein D, Risch N. A polymorphism in the beta1 adrenergic receptor is associated with resting heart rate. Am J Hum Genet 2002; 70:935-42. [PMID: 11854867 PMCID: PMC379121 DOI: 10.1086/339621] [Citation(s) in RCA: 124] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2001] [Accepted: 01/10/2002] [Indexed: 12/18/2022] Open
Abstract
Resting heart rate is significantly associated with cardiovascular morbidity and mortality. However, the extent to which resting heart rate is genetically determined is poorly understood, and no genes have been found that contribute to variation in resting heart rate. Because signaling through the beta1 adrenergic receptor is a key determinant of cardiac function, we tested whether polymorphisms in this receptor are associated with resting heart rate. A cohort of >1,000 individuals of Chinese and Japanese descent, from nuclear families, was genotyped for two polymorphisms, resulting in a serine/glycine substitution at amino acid 49 (Ser49Gly) and an arginine/glycine substitution at residue 389 (Arg389Gly), in the beta1 adrenergic receptor. For comparison, polymorphisms in the beta2 and beta3 adrenergic receptors were also evaluated. The Ser49Gly polymorphism was significantly associated (P=.0004) with resting heart rate, independent of other variables, such as body-mass index, age, sex, ethnicity, exercise, smoking, alcohol intake, hypertension status, and treatment with beta blockers. The data support an additive model in which individuals heterozygous for the Ser49Gly polymorphism had mean heart rates intermediate to those of either type of homozygote, with Ser homozygotes having the highest mean heart rate and with Gly homozygotes having the lowest. Neither the Arg389Gly polymorphism in the beta1 adrenergic receptor nor polymorphisms in the beta2 and beta3 adrenergic receptors were associated with resting heart rate. The heritability of heart rate was 39.7% +/- 7.1% (P<10-7).
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Affiliation(s)
- Koustubh Ranade
- Department of Genetics, Division of Endocrinology, and Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA; Division of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan; Tri-Service General Hospital, Division of Biostatistics and Bioinformatics, National Health Research Institutes, and National Taiwan University Hospital, Taipei, Taiwan; Department of Medicine, Brigham & Women’s Hospital, Boston; and Hawaii Center for Health Research, Honolulu
| | - Eric Jorgenson
- Department of Genetics, Division of Endocrinology, and Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA; Division of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan; Tri-Service General Hospital, Division of Biostatistics and Bioinformatics, National Health Research Institutes, and National Taiwan University Hospital, Taipei, Taiwan; Department of Medicine, Brigham & Women’s Hospital, Boston; and Hawaii Center for Health Research, Honolulu
| | - Wayne H.-H. Sheu
- Department of Genetics, Division of Endocrinology, and Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA; Division of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan; Tri-Service General Hospital, Division of Biostatistics and Bioinformatics, National Health Research Institutes, and National Taiwan University Hospital, Taipei, Taiwan; Department of Medicine, Brigham & Women’s Hospital, Boston; and Hawaii Center for Health Research, Honolulu
| | - Dee Pei
- Department of Genetics, Division of Endocrinology, and Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA; Division of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan; Tri-Service General Hospital, Division of Biostatistics and Bioinformatics, National Health Research Institutes, and National Taiwan University Hospital, Taipei, Taiwan; Department of Medicine, Brigham & Women’s Hospital, Boston; and Hawaii Center for Health Research, Honolulu
| | - Chao Agnes Hsiung
- Department of Genetics, Division of Endocrinology, and Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA; Division of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan; Tri-Service General Hospital, Division of Biostatistics and Bioinformatics, National Health Research Institutes, and National Taiwan University Hospital, Taipei, Taiwan; Department of Medicine, Brigham & Women’s Hospital, Boston; and Hawaii Center for Health Research, Honolulu
| | - Fu-tien Chiang
- Department of Genetics, Division of Endocrinology, and Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA; Division of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan; Tri-Service General Hospital, Division of Biostatistics and Bioinformatics, National Health Research Institutes, and National Taiwan University Hospital, Taipei, Taiwan; Department of Medicine, Brigham & Women’s Hospital, Boston; and Hawaii Center for Health Research, Honolulu
| | - Yii-der I. Chen
- Department of Genetics, Division of Endocrinology, and Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA; Division of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan; Tri-Service General Hospital, Division of Biostatistics and Bioinformatics, National Health Research Institutes, and National Taiwan University Hospital, Taipei, Taiwan; Department of Medicine, Brigham & Women’s Hospital, Boston; and Hawaii Center for Health Research, Honolulu
| | - Richard Pratt
- Department of Genetics, Division of Endocrinology, and Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA; Division of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan; Tri-Service General Hospital, Division of Biostatistics and Bioinformatics, National Health Research Institutes, and National Taiwan University Hospital, Taipei, Taiwan; Department of Medicine, Brigham & Women’s Hospital, Boston; and Hawaii Center for Health Research, Honolulu
| | - Richard A. Olshen
- Department of Genetics, Division of Endocrinology, and Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA; Division of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan; Tri-Service General Hospital, Division of Biostatistics and Bioinformatics, National Health Research Institutes, and National Taiwan University Hospital, Taipei, Taiwan; Department of Medicine, Brigham & Women’s Hospital, Boston; and Hawaii Center for Health Research, Honolulu
| | - David Curb
- Department of Genetics, Division of Endocrinology, and Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA; Division of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan; Tri-Service General Hospital, Division of Biostatistics and Bioinformatics, National Health Research Institutes, and National Taiwan University Hospital, Taipei, Taiwan; Department of Medicine, Brigham & Women’s Hospital, Boston; and Hawaii Center for Health Research, Honolulu
| | - David R. Cox
- Department of Genetics, Division of Endocrinology, and Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA; Division of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan; Tri-Service General Hospital, Division of Biostatistics and Bioinformatics, National Health Research Institutes, and National Taiwan University Hospital, Taipei, Taiwan; Department of Medicine, Brigham & Women’s Hospital, Boston; and Hawaii Center for Health Research, Honolulu
| | - David Botstein
- Department of Genetics, Division of Endocrinology, and Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA; Division of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan; Tri-Service General Hospital, Division of Biostatistics and Bioinformatics, National Health Research Institutes, and National Taiwan University Hospital, Taipei, Taiwan; Department of Medicine, Brigham & Women’s Hospital, Boston; and Hawaii Center for Health Research, Honolulu
| | - Neil Risch
- Department of Genetics, Division of Endocrinology, and Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA; Division of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan; Tri-Service General Hospital, Division of Biostatistics and Bioinformatics, National Health Research Institutes, and National Taiwan University Hospital, Taipei, Taiwan; Department of Medicine, Brigham & Women’s Hospital, Boston; and Hawaii Center for Health Research, Honolulu
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