1
|
Westerman KE, Kilpeläinen TO, Sevilla-Gonzalez M, Connelly MA, Wood AC, Tsai MY, Taylor KD, Rich SS, Rotter JI, Otvos JD, Bentley AR, Mora S, Aschard H, Rao DC, Gu C, Chasman DI, Manning AK. Refinement of a published gene-physical activity interaction impacting HDL-cholesterol: role of sex and lipoprotein subfractions. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.23.24301689. [PMID: 38313294 PMCID: PMC10836120 DOI: 10.1101/2024.01.23.24301689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
Large-scale gene-environment interaction (GxE) discovery efforts often involve compromises in the definition of outcomes and choice of covariates for the sake of data harmonization and statistical power. Consequently, refinement of exposures, covariates, outcomes, and population subsets may be helpful to establish often-elusive replication and evaluate potential clinical utility. Here, we used additional datasets, an expanded set of statistical models, and interrogation of lipoprotein metabolism via nuclear magnetic resonance (NMR)-based lipoprotein subfractions to refine a previously discovered GxE modifying the relationship between physical activity (PA) and HDL-cholesterol (HDL-C). This GxE was originally identified by Kilpeläinen et al., with the strongest cohort-specific signal coming from the Women's Genome Health Study (WGHS). We thus explored this GxE further in the WGHS (N = 23,294), with follow-up in the UK Biobank (UKB; N = 281,380), and the Multi-Ethnic Study of Atherosclerosis (MESA; N = 4,587). Self-reported PA (MET-hrs/wk), genotypes at rs295849 (nearest gene: LHX1), and NMR metabolomics data were available in all three cohorts. As originally reported, minor allele carriers of rs295849 in WGHS had a stronger positive association between PA and HDL-C (pint = 0.002). When testing a range of NMR metabolites (primarily lipoprotein and lipid subfractions) to refine the HDL-C outcome, we found a stronger interaction effect on medium-sized HDL particle concentrations (M-HDL-P; pint = 1.0×10-4) than HDL-C. Meta-regression revealed a systematically larger interaction effect in cohorts from the original meta-analysis with a greater fraction of women (p = 0.018). In the UKB, GxE effects were stronger both in women and using M-HDL-P as the outcome. In MESA, the primary interaction for HDL-C showed nominal significance (pint = 0.013), but without clear differences by sex and with a greater magnitude using large, rather than medium, HDL-P as an outcome. Towards reconciling these observations, further exploration leveraging NMR platform-specific HDL subfraction diameter annotations revealed modest agreement across all cohorts in the interaction affecting medium-to-large particles. Taken together, our work provides additional insights into a specific known gene-PA interaction while illustrating the importance of phenotype and model refinement towards understanding and replicating GxEs.
Collapse
Affiliation(s)
- Kenneth E. Westerman
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Tuomas O. Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, DK
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Magdalena Sevilla-Gonzalez
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Alexis C. Wood
- USDA/ARS Children’s Nutrition Center, Baylor College of Medicine, Houston, TX, USA
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Kent D. Taylor
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Jerome I. Rotter
- 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
| | - James D. Otvos
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Amy R. Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Samia Mora
- Center for Lipid Metabolomics, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA, USA
| | - Hugues Aschard
- Department of Computational Biology, Institut Pasteur, Université de Paris, Paris, FR
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - DC Rao
- Division of Biostatistics, Washington University, St. Louis, MO, USA
| | - Charles Gu
- Division of Biostatistics, Washington University, St. Louis, MO, USA
| | - Daniel I. Chasman
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetics, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Alisa K. Manning
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| |
Collapse
|
2
|
Ying S, Heung T, Thiruvahindrapuram B, Engchuan W, Yin Y, Blagojevic C, Zhang Z, Hegele RA, Yuen RKC, Bassett AS. Polygenic risk for triglyceride levels in the presence of a high impact rare variant. BMC Med Genomics 2023; 16:281. [PMID: 37940981 PMCID: PMC10634078 DOI: 10.1186/s12920-023-01717-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 10/25/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND Elevated triglyceride (TG) levels are a heritable and modifiable risk factor for cardiovascular disease and have well-established associations with common genetic variation captured in a polygenic risk score (PRS). In young adulthood, the 22q11.2 microdeletion conveys a 2-fold increased risk for mild-moderate hypertriglyceridemia. This study aimed to assess the role of the TG-PRS in individuals with this elevated baseline risk for mild-moderate hypertriglyceridemia. METHODS We studied a deeply phenotyped cohort of adults (n = 157, median age 34 years) with a 22q11.2 microdeletion and available genome sequencing, lipid level, and other clinical data. The association between a previously developed TG-PRS and TG levels was assessed using a multivariable regression model adjusting for effects of sex, BMI, and other covariates. We also constructed receiver operating characteristic (ROC) curves using logistic regression models to assess the ability of TG-PRS and significant clinical variables to predict mild-moderate hypertriglyceridemia status. RESULTS The TG-PRS was a significant predictor of TG-levels (p = 1.52E-04), along with male sex and BMI, in a multivariable model (pmodel = 7.26E-05). The effect of TG-PRS appeared to be slightly stronger in individuals with obesity (BMI ≥ 30) (beta = 0.4617) than without (beta = 0.1778), in a model unadjusted for other covariates (p-interaction = 0.045). Among ROC curves constructed, the inclusion of TG-PRS, sex, and BMI as predictor variables produced the greatest area under the curve (0.749) for classifying those with mild-moderate hypertriglyceridemia, achieving an optimal sensitivity and specificity of 0.746 and 0.707, respectively. CONCLUSIONS These results demonstrate that in addition to significant effects of sex and BMI, genome-wide common variation captured in a PRS also contributes to the variable expression of the 22q11.2 microdeletion with respect to elevated TG levels.
Collapse
Affiliation(s)
- Shengjie Ying
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Tracy Heung
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, ON, Canada
- The Dalglish Family 22Q Clinic, University Health Network, Toronto, ON, Canada
| | | | - Worrawat Engchuan
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Yue Yin
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Christina Blagojevic
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Zhaolei Zhang
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada
- Department of Computer Science, University of Toronto, Toronto, ON, Canada
| | - Robert A Hegele
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Ryan K C Yuen
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Anne S Bassett
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, ON, Canada.
- The Dalglish Family 22Q Clinic, University Health Network, Toronto, ON, Canada.
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
- Toronto General Hospital Research Institute and Campbell Family Mental Health Research Institute, Toronto, ON, Canada.
| |
Collapse
|
3
|
Lőrincz H, Ratku B, Csiha S, Seres I, Szabó Z, Paragh G, Harangi M, Somodi S. Impaired Organokine Regulation in Non-Diabetic Obese Subjects: Halfway to the Cardiometabolic Danger Zone. Int J Mol Sci 2023; 24:ijms24044115. [PMID: 36835525 PMCID: PMC9963515 DOI: 10.3390/ijms24044115] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 02/14/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
Altered organokine expression contributes to increased cardiometabolic risk in obesity. Our aim was to evaluate the associations of serum afamin with glucose homeostasis, atherogenic dyslipidemia, and other adipokines in severe obesity to clarify the early metabolic alterations. 106 non-diabetic obese (NDO) subjects and 62 obese patients with type 2 diabetes matched for age, gender, and body mass index (BMI) were enrolled in this study. We compared their data with 49 healthy, lean controls. Serum afamin and retinol-binding protein 4 (RBP4), as well as plasma plasminogen activator inhibitor-1 (PAI-1), were measured with ELISA, and lipoprotein subfractions were analyzed using Lipoprint gel electrophoresis. Afamin and PAI-1 found to be significantly higher in the NDO and T2M group (p < 0.001 and p < 0.001, respectively) than in the controls. In contrast, RBP4 was unexpectedly lower in the NDO and T2DM group compared to controls (p < 0.001). Afamin showed negative correlations with mean LDL size and RBP4, but positive correlations with anthropometric, glucose/lipid parameters, and PAI-1 in both the overall patients and the in NDO + T2DM groups. BMI, glucose, intermediate HDL, and small HDL were predictors of afamin. Afamin may serve as a biomarker for the severity of cardiometabolic disturbances in obesity. The complexity of organokine patterns in NDO subjects draws attention to the diverse spectrum of obesity-related comorbidities.
Collapse
Affiliation(s)
- Hajnalka Lőrincz
- Division of Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary
| | - Balázs Ratku
- Department of Emergency Medicine, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary
- Doctoral School of Health Sciences, University of Debrecen, H-4032 Debrecen, Hungary
- Institute of Health Studies, Faculty of Health Sciences, University of Debrecen, H-4032 Debrecen, Hungary
| | - Sára Csiha
- Division of Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary
- Doctoral School of Health Sciences, University of Debrecen, H-4032 Debrecen, Hungary
| | - Ildikó Seres
- Division of Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary
| | - Zoltán Szabó
- Department of Emergency Medicine, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary
| | - György Paragh
- Division of Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary
| | - Mariann Harangi
- Division of Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary
- Institute of Health Studies, Faculty of Health Sciences, University of Debrecen, H-4032 Debrecen, Hungary
| | - Sándor Somodi
- Department of Emergency Medicine, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary
- Institute of Health Studies, Faculty of Health Sciences, University of Debrecen, H-4032 Debrecen, Hungary
- Correspondence:
| |
Collapse
|
4
|
Ding M, Li QF, Peng TH, Wang TQ, Yan HH, Tang C, Wang XY, Guo Y, Zheng L. Early life exercise training and inhibition of apoLpp mRNA expression to improve age-related arrhythmias and prolong the average lifespan in Drosophila melanogaster. Aging (Albany NY) 2022; 14:9908-9923. [PMID: 36470666 PMCID: PMC9831727 DOI: 10.18632/aging.204422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 11/16/2022] [Indexed: 01/03/2023]
Abstract
Cardiovascular disease (CVD) places a heavy burden on older patients and the global healthcare system. A large body of evidence suggests that exercise training is essential in preventing and treating cardiovascular disease, but the underlying mechanisms are not well understood. Here, we used the Drosophila melanogaster animal model to study the effects of early-life exercise training (Exercise) on the aging heart and lifespan. We found in flies that age-induced arrhythmias are conserved across different genetic backgrounds. The fat body is the primary source of circulating lipoproteins in flies. Inhibition of fat body apoLpp (Drosophila apoB homolog) demonstrated that low expression of apoLpp reduced the development of arrhythmias in aged flies but did not affect average lifespan. At the same time, exercise can also reduce the expression of apoLpp mRNA in aged flies and have a protective effect on the heart, which is similar to the inhibition of apoLpp mRNA. Although treatment of UAS-apoLppRNAi and exercise alone had no significant effect on lifespan, the combination of UAS-apoLppRNAi and exercise extended the average lifespan of flies. Therefore, we conclude that UAS-apoLppRNAi and exercise are sufficient to resist age-induced arrhythmias, which may be related to the decreased expression of apoLpp mRNA, and that UAS-apoLppRNAi and exercise have a combined effect on prolonging the average lifespan.
Collapse
Affiliation(s)
- Meng Ding
- Key Laboratory of Physical Fitness and Exercise Rehabilitation of Hunan Province, Hunan Normal University, Changsha, China
| | - Qiu Fang Li
- Key Laboratory of Physical Fitness and Exercise Rehabilitation of Hunan Province, Hunan Normal University, Changsha, China
| | - Tian Hang Peng
- Key Laboratory of Physical Fitness and Exercise Rehabilitation of Hunan Province, Hunan Normal University, Changsha, China
| | - Tong Quan Wang
- Key Laboratory of Physical Fitness and Exercise Rehabilitation of Hunan Province, Hunan Normal University, Changsha, China
| | - Han Hui Yan
- Key Laboratory of Physical Fitness and Exercise Rehabilitation of Hunan Province, Hunan Normal University, Changsha, China
| | - Chao Tang
- Key Laboratory of Physical Fitness and Exercise Rehabilitation of Hunan Province, Hunan Normal University, Changsha, China
| | - Xiao Ya Wang
- Key Laboratory of Physical Fitness and Exercise Rehabilitation of Hunan Province, Hunan Normal University, Changsha, China
| | - Yin Guo
- Key Laboratory of Physical Fitness and Exercise Rehabilitation of Hunan Province, Hunan Normal University, Changsha, China
| | - Lan Zheng
- Key Laboratory of Physical Fitness and Exercise Rehabilitation of Hunan Province, Hunan Normal University, Changsha, China
| |
Collapse
|
5
|
Servadei F, Anemona L, Cardellini M, Scimeca M, Montanaro M, Rovella V, Di Daniele F, Giacobbi E, Legramante IM, Noce A, Bonfiglio R, Borboni P, Di Daniele N, Ippoliti A, Federici M, Mauriello A. The risk of carotid plaque instability in patients with metabolic syndrome is higher in women with hypertriglyceridemia. Cardiovasc Diabetol 2021; 20:98. [PMID: 33957931 PMCID: PMC8103747 DOI: 10.1186/s12933-021-01277-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 04/15/2021] [Indexed: 12/24/2022] Open
Abstract
Background Metabolic syndrome certainly favors growth of carotid plaque; however, it is uncertain if it determines plaque destabilization. Furthermore, it is likely that only some components of metabolic syndrome are associated with increased risk of plaque destabilization. Therefore, we evaluated the effect of different elements of metabolic syndrome, individually and in association, on carotid plaques destabilization. Methods A total of 186 carotid endarterectomies from symptomatic and asymptomatic patients were histologically analysed and correlated with major cardiovascular risk factors. Results Metabolic syndrome, regardless of the cluster of its components, is not associated with a significant increase in risk of plaque destabilization, rather with the presence of stable plaques. The incidence of unstable plaques in patients with metabolic syndrome is quite low (43.9 %), when compared with that seen in the presence of some risk factors, but significantly increases in the subgroup of female patients with hypertriglyceridemia, showing an odds ratio of 3.01 (95% CI, 0.25–36.30). Conclusions Our data may help to identify patients with real increased risk of acute cerebrovascular diseases thus supporting the hypothesis that the control of hypertriglyceridemia should be a key point on prevention of carotid atherosclerotic plaque destabilization, especially in post-menopausal female patients.
Collapse
Affiliation(s)
- Francesca Servadei
- Anatomic Pathology, Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome, RM, 00133, Italy
| | - Lucia Anemona
- Anatomic Pathology, Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome, RM, 00133, Italy
| | - Marina Cardellini
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Manuel Scimeca
- Anatomic Pathology, Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome, RM, 00133, Italy.,San Raffaele University, Via di Val Cannuta 247, 00166, Rome, Italy.,Saint Camillus International University of Health Sciences, Via di Sant'Alessandro, 8, 00131, Rome, Italy
| | - Manuela Montanaro
- Anatomic Pathology, Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome, RM, 00133, Italy
| | - Valentina Rovella
- UOC of Internal Medicine, Center of Hypertension, University of Rome Tor Vergata, Rome, Italy
| | - Francesca Di Daniele
- PhD School of Applied Medical, Surgical Sciences, University of Rome Tor Vergata, Rome, Italy
| | - Erica Giacobbi
- Anatomic Pathology, Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome, RM, 00133, Italy
| | | | - Annalisa Noce
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Rita Bonfiglio
- Anatomic Pathology, Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome, RM, 00133, Italy.,Fondazione Umberto Veronesi (FUV), Piazza Velasca 5, MI, 20122, Milano, Italy
| | - Patrizia Borboni
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Nicola Di Daniele
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Arnaldo Ippoliti
- Vascular Surgery, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Massimo Federici
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Alessandro Mauriello
- Anatomic Pathology, Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome, RM, 00133, Italy. .,Tor Vergata Oncoscience Research (TOR), University of Rome "Tor Vergata", Rome, Italy.
| |
Collapse
|
6
|
Williams PT. Gene-environment interactions due to quantile-specific heritability of triglyceride and VLDL concentrations. Sci Rep 2020; 10:4486. [PMID: 32161301 PMCID: PMC7066156 DOI: 10.1038/s41598-020-60965-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 02/17/2020] [Indexed: 12/16/2022] Open
Abstract
"Quantile-dependent expressivity" is a dependence of genetic effects on whether the phenotype (e.g., triglycerides) is high or low relative to its distribution in the population. Quantile-specific offspring-parent regression slopes (βOP) were estimated by quantile regression for 6227 offspring-parent pairs. Quantile-specific heritability (h2), estimated by 2βOP/(1 + rspouse), decreased 0.0047 ± 0.0007 (P = 2.9 × 10-14) for each one-percent decrement in fasting triglyceride concentrations, i.e., h2 ± SE were: 0.428 ± 0.059, 0.230 ± 0.030, 0.111 ± 0.015, 0.050 ± 0.016, and 0.033 ± 0.010 at the 90th, 75th, 50th, 25th, and 10th percentiles of the triglyceride distribution, respectively. Consistent with quantile-dependent expressivity, 11 drug studies report smaller genotype differences at lower (post-treatment) than higher (pre-treatment) triglyceride concentrations. This meant genotype-specific triglyceride changes could not move in parallel when triglycerides were decreased pharmacologically, so that subtracting pre-treatment from post-treatment triglyceride levels necessarily created a greater triglyceride decrease for the genotype with a higher pre-treatment value (purported precision-medicine genetic markers). In addition, sixty-five purported gene-environment interactions were found to be potentially attributable to triglyceride's quantile-dependent expressivity, including gene-adiposity (APOA5, APOB, APOE, GCKR, IRS-1, LPL, MTHFR, PCSK9, PNPLA3, PPARγ2), gene-exercise (APOA1, APOA2, LPL), gene-diet (APOA5, APOE, INSIG2, LPL, MYB, NXPH1, PER2, TNFA), gene-alcohol (ALDH2, APOA5, APOC3, CETP, LPL), gene-smoking (APOC3, CYBA, LPL, USF1), gene-pregnancy (LPL), and gene-insulin resistance interactions (APOE, LPL).
Collapse
Affiliation(s)
- Paul T Williams
- Lawrence Berkeley National Laboratory, Molecular Biophysics & Integrated Bioimaging Division 1 Cyclotron Road, Berkeley, CA, 94720, USA.
| |
Collapse
|
7
|
Ahmad S, Mora S, Ridker PM, Hu FB, Chasman DI. Gene-Based Elevated Triglycerides and Type 2 Diabetes Mellitus Risk in the Women's Genome Health Study. Arterioscler Thromb Vasc Biol 2019; 39:97-106. [PMID: 30565958 DOI: 10.1161/atvbaha.118.311562] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Objective- Higher triglyceride (TG) is a risk factor for incident type 2 diabetes mellitus (T2DM), but paradoxically, genetic susceptibility for higher TG has been associated with lower T2DM risk. There is also evidence that the genetic association may be modified by baseline TG. Whether such associations can be replicated and the interaction is selective for certain TG-rich lipoprotein particles remains to be explored. Approach and Results- Cox regression involving TG, TG-rich lipoprotein particles, and genetic determinants of TG was performed among 15 813 participants with baseline fasting status in the WGHS (Women's Genome Health Study), including 1453 T2DM incident cases during a mean 18.6 (SD=5.3) years of follow-up. A weighted, 40-single-nucleotide polymorphism TG genetic risk score was inversely associated with incident T2DM (hazard ratio [95% CI], 0.66 [0.58-0.75]/10-TG risk alleles; P<0.0001) with adjustment for baseline body mass index, HDL (high-density lipoprotein) cholesterol, and TG. TG-associated risk was higher among individuals in the low compared with the high 40-single-nucleotide polymorphism TG genetic risk score tertile (hazard ratio [95% CI], 1.98 [1.83-2.14] versus 1.68 [1.58-1.80] per mmol/L; Pinteraction=0.0007). In TG-adjusted analysis, large and medium but not small TG-rich lipoprotein particles were associated with higher T2DM incidence for successively lower 40-single-nucleotide polymorphism TG genetic risk score tertiles, Pinteraction=0.013, 0.012, and 0.620 across tertiles, respectively. Conclusions- Our results confirm the previous observations of the paradoxical associations of TG with T2DM while focusing attention on the larger TG-rich lipoprotein particle subfractions, suggesting their importance in clinical profiling of T2DM risk.
Collapse
Affiliation(s)
- Shafqat Ahmad
- From the Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (S.A., F.B.H.).,Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (S.A., S.M., P.M.R., D.I.C.).,Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Sweden (S.A.)
| | - Samia Mora
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (S.A., S.M., P.M.R., D.I.C.).,Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (S.M., P.M.R.).,Center for Lipid Metabolomics, Harvard Medical School, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (S.M., P.M.R.)
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (S.A., S.M., P.M.R., D.I.C.).,Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (S.M., P.M.R.).,Center for Lipid Metabolomics, Harvard Medical School, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (S.M., P.M.R.)
| | - Frank B Hu
- From the Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (S.A., F.B.H.).,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (F.B.H.)
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (S.A., S.M., P.M.R., D.I.C.)
| |
Collapse
|
8
|
Kelly JM, Ordovas JM, Matuszek G, Smith CE, Huggins GS, Dashti HS, Ichikawa R, Booth SL. The Contribution of Lipids to the Interindividual Response of Vitamin K Biomarkers to Vitamin K Supplementation. Mol Nutr Food Res 2019; 63:e1900399. [PMID: 31533195 PMCID: PMC8815429 DOI: 10.1002/mnfr.201900399] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 08/16/2019] [Indexed: 12/12/2022]
Abstract
SCOPE A better understanding of factors contributing to interindividual variability in biomarkers of vitamin K can enhance the understanding of the equivocal role of vitamin K in cardiovascular disease. Based on the known biology of phylloquinone, the major form of vitamin K, it is hypothesized that plasma lipids contribute to the variable response of biomarkers of vitamin K metabolism to phylloquinone supplementation. METHODS AND RESULTS The association of plasma lipids and 27 lipid-related genetic variants with the response of biomarkers of vitamin K metabolism is examined in a secondary analysis of data from a 3-year phylloquinone supplementation trial in men (n = 66) and women (n = 85). Year 3 plasma triglycerides (TG), but not total cholesterol, LDL-cholesterol, or HDL-cholesterol, are associated with the plasma phylloquinone response (men: β = 1.01, p < 0.001, R2 = 0.34; women: β = 0.61, p = 0.008, R2 = 0.11; sex interaction p = 0.077). Four variants and the TG-weighted genetic risk score are associated with the plasma phylloquinone response in men only. Plasma lipids are not associated with changes in biomarkers of vitamin K function (undercarboxylated osteocalcin and matrix gla protein) in either sex. CONCLUSION Plasma TG are an important determinant of the interindividual response of plasma phylloquinone to phylloquinone supplementation, but changes in biomarkers of vitamin K carboxylation are not influenced by lipids.
Collapse
Affiliation(s)
- Jennifer M. Kelly
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA
| | - Jose M. Ordovas
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA
| | - Gregory Matuszek
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA
| | - Caren E. Smith
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA
| | - Gordon S. Huggins
- Molecular Cardiology Research Institute Center for Translational Genomics, Tufts Medical Center and Tufts University, Boston, MA
| | - Hassan S. Dashti
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Broad Institute of MIT and Harvard, Cambridge, MA
| | - Reiko Ichikawa
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA
| | - Sarah L. Booth
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA
| |
Collapse
|
9
|
Genetic Risk Score Predictive of the Plasma Triglyceride Response to an Omega-3 Fatty Acid Supplementation in a Mexican Population. Nutrients 2019; 11:nu11040737. [PMID: 30934900 PMCID: PMC6521301 DOI: 10.3390/nu11040737] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 03/26/2019] [Accepted: 03/28/2019] [Indexed: 12/24/2022] Open
Abstract
Our group built a genetic risk score (GRS) of the plasma triglyceride (TG) response to an omega-3 (n-3) fatty acid (FA) supplementation in Caucasian Canadians that explained 21.53% of the TG variance. The objective was to refine the GRS by fine mapping and to test its association with the TG response in young Mexican adults. A total of 191 participants underwent a 6-week n-3 FA supplementation providing 2.7g/day of docosahexaenoic and eicosapentaenoic acids. Using quantitative polymerase chain reaction (PCR), 103 single-nucleotide polymorphisms (SNPs) were genotyped. A stepwise regression adjusted for age, sex, and body mass index (BMI) was used to select the strongest SNPs to include in the genetic risk model. A GRS was calculated from the sum of at-risk alleles. The contribution of the GRS to the TG response was assessed by ANCOVA with age, sex, and BMI included in the model. Several differences in allele frequency were observed between Canadians and Mexicans. Five lead SNPs were included in the genetic risk model, in which the GRS accounted for 11.01% of the variance of the TG response (p < 0.0001). These findings highlight the important contribution of genetic factors to the heterogeneity of the TG response to an n-3 FA supplementation among Mexicans.
Collapse
|
10
|
Fujii TMDM, Norde MM, Fisberg RM, Marchioni DML, Rogero MM. Lipid metabolism genetic risk score interacts with the Brazilian Healthy Eating Index Revised and its components to influence the odds for dyslipidemia in a cross-sectional population-based survey in Brazil. Nutr Health 2019; 25:119-126. [PMID: 30834809 DOI: 10.1177/0260106019830844] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND Dyslipidemia can be influenced by genetic and dietary risk factors. AIM This study set out to investigate diet and genetic variations in Brazilian people in a cross-sectional population-based survey and to analyze the relationship between single nucleotide polymorphisms (SNPs) of genes involved in lipid metabolism and cardiometabolic-related phenotypes using a genetic risk score (GRS). METHODS We recruited 228 adults (mean age 36.5 years) who participated in the Health Survey of São Paulo (HS-SP), Brazil. Clinical and anthropometric parameters, as well as the interaction between the GRS and the Brazilian Healthy Eating Index Revised (BHEI-R) were evaluated. We analyzed the relationship between SNPs in APOA5 (rs662799), APOB (rs693, rs1367117), LDLR (rs688, rs5925) and LIPC (rs2070895, rs1800588) and cardiometabolic-related phenotypes using a GRS. RESULTS High-density lipoprotein cholesterol (HDLC) levels were associated with the BHEI-R ( p=0.026; β= -0.183) and with its SoFAAS component (solid fats, alcoholic beverages and added sugars) ( p=0.007; β=0.279). Non-HDL cholesterol levels were associated with the BHEI-R vegetable component ( p=0.015; β=0.002) and the meat, eggs and beans component ( p=0.003; β=0.007). Triacylglycerol levels were associated with the BHEI-R vegetable component ( p=0.027; β=0.003); the meat, eggs and beans component ( p=0.041; β=0.001); and the total protein component ( p=0.013; β=0.032). Significant effects were observed for the interactions between the GRS and both the BHEI-R oils component ( p=0.019) and the SoFAAS component ( p<0.001) on the dyslipidemia risk. CONCLUSIONS The evaluation of dietary quality, especially fat quality, together with the lipid metabolism GRS could be a useful tool to manage cardiometabolic risk.
Collapse
Affiliation(s)
| | | | | | | | - Marcelo Macedo Rogero
- 1 Department of Nutrition, University of Sao Paulo, Brazil.,2 Food Research Center (FoRC), Research Innovation and Dissemination Centers São Paulo Research Foundation, Brazil
| |
Collapse
|