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Chu S, Yang Y, Nazar M, Chen Z, Yang Z. miR-497 Regulates LATS1 through the PPARG Pathway to Participate in Fatty Acid Synthesis in Bovine Mammary Epithelial Cells. Genes (Basel) 2023; 14:1224. [PMID: 37372404 DOI: 10.3390/genes14061224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 05/27/2023] [Accepted: 05/29/2023] [Indexed: 06/29/2023] Open
Abstract
Nutrient metabolism is required to maintain energy balance in animal organisms, and fatty acids play an irreplaceable role in fat metabolism. In this study, microRNA sequencing was performed on mammary gland tissues collected from cows during early, peak, and late lactation to determine miRNA expression profiles. Differentially expressed miRNA (miR-497) was selected for functional studies of fatty acid substitution. Simulants of miR-497 impaired fat metabolism [triacylglycerol (TAG) and cholesterol], whereas knockdown of miR-497 promoted fat metabolism in bovine mammary epithelial cells (BMECs) in vitro. In addition, in vitro experiments on BMECs showed that miR-497 could down-regulate C16:1, C17:1, C18:1, and C20:1 as well as long-chain polyunsaturated fats. Thus, these data expand the discovery of a critical role for miR-497 in mediating adipocyte differentiation. Through bioinformatics analysis and further validation, we identified large tumor suppressor kinase 1 (LATS1) as a target of miR-497. siRNA-LATS1 increased concentrations of fatty acids, TAG, and cholesterol in cells, indicating an active role of LATS1 in milk fat metabolism. In summary, miR-497/LATS1 can regulate the biological processes associated with TAG, cholesterol, and unsaturated fatty acid synthesis in cells, providing an experimental basis for further elucidating the mechanistic regulation of lipid metabolism in BMECs.
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Affiliation(s)
- Shuangfeng Chu
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
- Joint International Research Laboratory of Agriculture & Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, China
| | - Yi Yang
- College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Mudasir Nazar
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Zhi Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
- Joint International Research Laboratory of Agriculture & Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, China
| | - Zhangping Yang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
- Joint International Research Laboratory of Agriculture & Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, China
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2
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Bakoev S, Traspov A, Getmantseva L, Belous A, Karpushkina T, Kostyunina O, Usatov A, Tatarinova TV. Detection of genomic regions associated malformations in newborn piglets: a machine-learning approach. PeerJ 2021; 9:e11580. [PMID: 34327051 PMCID: PMC8310618 DOI: 10.7717/peerj.11580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Accepted: 05/19/2021] [Indexed: 11/20/2022] Open
Abstract
Background A significant proportion of perinatal losses in pigs occurs due to congenital malformations. The purpose of this study is the identification of genomic loci associated with fetal malformations in piglets. Methods The malformations were divided into two groups: associated with limb defects (piglet splay leg) and associated with other congenital anomalies found in newborn piglets. 148 Landrace and 170 Large White piglets were selected for the study. A genome-wide association study based on the gradient boosting machine algorithm was performed to identify markers associated with congenital anomalies and piglet splay leg. Results Forty-nine SNPs (23 SNPs in Landrace pigs and 26 SNPs in Large White) were associated with congenital anomalies, 22 of which were localized in genes. A total of 156 SNPs (28 SNPs in Landrace; 128 in Large White) were identified for piglet splay leg, of which 79 SNPs were localized in genes. We have demonstrated that the gradient boosting machine algorithm can identify SNPs and their combinations associated with significant selection indicators of studied malformations and productive characteristics. Data availability Genotyping and phenotyping data are available at http://www.compubioverne.group/data-and-software/.
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Affiliation(s)
- Siroj Bakoev
- Federal Research Center for Animal Husbandry named after Academy Member LK. Ernst, Dubrovitsy, Russia.,Centre for Strategic Planning and Management of Biomedical Health Risks, Moscow, Russia
| | - Aleksei Traspov
- Federal Research Center for Animal Husbandry named after Academy Member LK. Ernst, Dubrovitsy, Russia.,Centre for Strategic Planning and Management of Biomedical Health Risks, Moscow, Russia
| | - Lyubov Getmantseva
- Federal Research Center for Animal Husbandry named after Academy Member LK. Ernst, Dubrovitsy, Russia
| | - Anna Belous
- Federal Research Center for Animal Husbandry named after Academy Member LK. Ernst, Dubrovitsy, Russia
| | - Tatiana Karpushkina
- Federal Research Center for Animal Husbandry named after Academy Member LK. Ernst, Dubrovitsy, Russia
| | - Olga Kostyunina
- Federal Research Center for Animal Husbandry named after Academy Member LK. Ernst, Dubrovitsy, Russia
| | | | - Tatiana V Tatarinova
- Department of Biology, University of La Verne, La Verne, CA, United States of America.,Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia.,Vavilov Institute for General Genetics, Moscow, Russia.,School of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, Russia
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3
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Baldassari AR, Sitlani CM, Highland HM, Arking DE, Buyske S, Darbar D, Gondalia R, Graff M, Guo X, Heckbert SR, Hindorff LA, Hodonsky CJ, Ida Chen YD, Kaplan RC, Peters U, Post W, Reiner AP, Rotter JI, Shohet RV, Seyerle AA, Sotoodehnia N, Tao R, Taylor KD, Wojcik GL, Yao J, Kenny EE, Lin HJ, Soliman EZ, Whitsel EA, North KE, Kooperberg C, Avery CL. Multi-Ethnic Genome-Wide Association Study of Decomposed Cardioelectric Phenotypes Illustrates Strategies to Identify and Characterize Evidence of Shared Genetic Effects for Complex Traits. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2020; 13:e002680. [PMID: 32602732 PMCID: PMC7520945 DOI: 10.1161/circgen.119.002680] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 05/26/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND We examined how expanding electrocardiographic trait genome-wide association studies to include ancestrally diverse populations, prioritize more precise phenotypic measures, and evaluate evidence for shared genetic effects enabled the detection and characterization of loci. METHODS We decomposed 10 seconds, 12-lead electrocardiograms from 34 668 multi-ethnic participants (15% Black; 30% Hispanic/Latino) into 6 contiguous, physiologically distinct (P wave, PR segment, QRS interval, ST segment, T wave, and TP segment) and 2 composite, conventional (PR interval and QT interval) interval scale traits and conducted multivariable-adjusted, trait-specific univariate genome-wide association studies using 1000-G imputed single-nucleotide polymorphisms. Evidence of shared genetic effects was evaluated by aggregating meta-analyzed univariate results across the 6 continuous electrocardiographic traits using the combined phenotype adaptive sum of powered scores test. RESULTS We identified 6 novels (CD36, PITX2, EMB, ZNF592, YPEL2, and BC043580) and 87 known loci (adaptive sum of powered score test P<5×10-9). Lead single-nucleotide polymorphism rs3211938 at CD36 was common in Blacks (minor allele frequency=10%), near monomorphic in European Americans, and had effects on the QT interval and TP segment that ranked among the largest reported to date for common variants. The other 5 novel loci were observed when evaluating the contiguous but not the composite electrocardiographic traits. Combined phenotype testing did not identify novel electrocardiographic loci unapparent using traditional univariate approaches, although this approach did assist with the characterization of known loci. CONCLUSIONS Despite including one-third as many participants as published electrocardiographic trait genome-wide association studies, our study identified 6 novel loci, emphasizing the importance of ancestral diversity and phenotype resolution in this era of ever-growing genome-wide association studies.
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Affiliation(s)
- Antoine R Baldassari
- Gillings School of Global Public Health (A.R.B., H.M.H., R.G., M.G., C.J.H., A.A.S., E.A.W., K.E.N., C.L.A.), University of North Carolina at Chapel Hill
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine (C.M.S.), University of Washington, Seattle.xs
| | - Heather M Highland
- Gillings School of Global Public Health (A.R.B., H.M.H., R.G., M.G., C.J.H., A.A.S., E.A.W., K.E.N., C.L.A.), University of North Carolina at Chapel Hill
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (D.E.A.)
| | - Steve Buyske
- Department of Statistics and Biostatistics, Rutgers University, New Brunswick, NJ (S.B.)
| | - Dawood Darbar
- Department of Medicine, University of Illinois at Chicago (D.D.)
| | - Rahul Gondalia
- Gillings School of Global Public Health (A.R.B., H.M.H., R.G., M.G., C.J.H., A.A.S., E.A.W., K.E.N., C.L.A.), University of North Carolina at Chapel Hill
| | - Misa Graff
- Gillings School of Global Public Health (A.R.B., H.M.H., R.G., M.G., C.J.H., A.A.S., E.A.W., K.E.N., C.L.A.), University of North Carolina at Chapel Hill
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance (X.G., Y.-D.I.C., J.I.R., K.D.T., J.Y., H.J.L.)
- Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA (X.G., Y.-D.I.C., J.I.R., K.D.T., J.Y., H.J.L.)
| | - Susan R Heckbert
- Cardiovascular Health Research Unit, Division of Cardiology, Department of Medicine (S.R.H., N.S.), University of Washington, Seattle
| | - Lucia A Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD (L.A.H.)
| | - Chani J Hodonsky
- Gillings School of Global Public Health (A.R.B., H.M.H., R.G., M.G., C.J.H., A.A.S., E.A.W., K.E.N., C.L.A.), University of North Carolina at Chapel Hill
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance (X.G., Y.-D.I.C., J.I.R., K.D.T., J.Y., H.J.L.)
- Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA (X.G., Y.-D.I.C., J.I.R., K.D.T., J.Y., H.J.L.)
| | | | - Ulrike Peters
- Fred Hutchinson Cancer Research Center, Public Health Sciences Division, Seattle, WA (U.P., A.P.R., C.K.)
| | - Wendy Post
- Departments of Medicine and Epidemiology, Johns Hopkins University, Baltimore, MD (W.P.)
| | - Alex P Reiner
- Fred Hutchinson Cancer Research Center, Public Health Sciences Division, Seattle, WA (U.P., A.P.R., C.K.)
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance (X.G., Y.-D.I.C., J.I.R., K.D.T., J.Y., H.J.L.)
- Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA (X.G., Y.-D.I.C., J.I.R., K.D.T., J.Y., H.J.L.)
| | - Ralph V Shohet
- Center for Cardiovascular Research, John A. Burns School of Medicine, Honolulu, HI (R.V.S.)
| | - Amanda A Seyerle
- Gillings School of Global Public Health (A.R.B., H.M.H., R.G., M.G., C.J.H., A.A.S., E.A.W., K.E.N., C.L.A.), University of North Carolina at Chapel Hill
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Division of Cardiology, Department of Medicine (S.R.H., N.S.), University of Washington, Seattle
| | - Ran Tao
- Department of Biostatistics, Vanderbilt University, Nashville, TN (R.T.)
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance (X.G., Y.-D.I.C., J.I.R., K.D.T., J.Y., H.J.L.)
- Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA (X.G., Y.-D.I.C., J.I.R., K.D.T., J.Y., H.J.L.)
| | - Genevieve L Wojcik
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (G.L.W.)
| | - Jie Yao
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance (X.G., Y.-D.I.C., J.I.R., K.D.T., J.Y., H.J.L.)
- Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA (X.G., Y.-D.I.C., J.I.R., K.D.T., J.Y., H.J.L.)
| | - Eimear E Kenny
- Center for Genomic Health (E.E.K.), Icahn School of Medicine at Mount Sinai, New York, NY
- Charles Bronfman Institute of Personalized Medicine (E.E.K.), Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Genetics and Genomic Sciences (E.E.K.), Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Medicine (E.E.K.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Henry J Lin
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance (X.G., Y.-D.I.C., J.I.R., K.D.T., J.Y., H.J.L.)
- Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA (X.G., Y.-D.I.C., J.I.R., K.D.T., J.Y., H.J.L.)
| | - Elsayed Z Soliman
- Epidemiological Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC (E.Z.S.)
| | - Eric A Whitsel
- Gillings School of Global Public Health (A.R.B., H.M.H., R.G., M.G., C.J.H., A.A.S., E.A.W., K.E.N., C.L.A.), University of North Carolina at Chapel Hill
| | - Kari E North
- Gillings School of Global Public Health (A.R.B., H.M.H., R.G., M.G., C.J.H., A.A.S., E.A.W., K.E.N., C.L.A.), University of North Carolina at Chapel Hill
- Carolina Center for Genome Sciences (K.E.N.), University of North Carolina at Chapel Hill
| | - Charles Kooperberg
- Fred Hutchinson Cancer Research Center, Public Health Sciences Division, Seattle, WA (U.P., A.P.R., C.K.)
| | - Christy L Avery
- Gillings School of Global Public Health (A.R.B., H.M.H., R.G., M.G., C.J.H., A.A.S., E.A.W., K.E.N., C.L.A.), University of North Carolina at Chapel Hill
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4
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Goh CE, Mooney SJ, Siscovick DS, Lemaitre RN, Hurvitz P, Sotoodehnia N, Kaufman TK, Zulaika G, Lovasi GS. Medical facilities in the neighborhood and incidence of sudden cardiac arrest. Resuscitation 2018; 130:118-123. [PMID: 30057353 PMCID: PMC6467836 DOI: 10.1016/j.resuscitation.2018.07.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2017] [Revised: 07/01/2018] [Accepted: 07/05/2018] [Indexed: 12/29/2022]
Abstract
BACKGROUND Medical establishments in the neighborhood, such as pharmacies and primary care clinics, may play a role in improving access to preventive care and treatment and could explain previously reported neighborhood variations in sudden cardiac arrest (SCA) incidence and survival. METHODS The Cardiac Arrest Blood Study Repository is a population-based repository of data from adult cardiac arrest patients and population-based controls residing in King County, Washington. We examined the association between the availability of medical facilities near home with SCA risk, using adult (age 18-80) Seattle residents experiencing cardiac arrest (n = 446) and matched controls (n = 208) without a history of heart disease. We also analyzed the association of major medical centers near the event location with emergency medical service (EMS) response time and survival among adult cases (age 18+) presenting with ventricular fibrillation from throughout King County (n = 1537). The number of medical facilities per census tract was determined by geocoding business locations from the National Establishment Time-Series longitudinal database 1990-2010. RESULTS More pharmacies in the home census tract was unexpectedly associated with higher odds of SCA (OR:1.28, 95% CI: 1.03, 1.59), and similar associations were observed for other medical facility types. The presence of a major medical center in the event census tract was associated with a faster EMS response time (-53 s, 95% CI: -84, -22), but not with short-term survival. CONCLUSIONS We did not observe a protective association between medical facilities in the home census tract and SCA risk, orbetween major medical centers in the event census tract and survival.
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Affiliation(s)
- Charlene E Goh
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States.
| | - Stephen J Mooney
- Harborview Injury Prevention & Research Center, University of Washington, Seattle, WA, United States
| | | | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, United States
| | - Philip Hurvitz
- Department of Urban Design & Planning, College of Built Environments, University of Washington, Seattle, WA, United States
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, United States
| | - Tanya K Kaufman
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Garazi Zulaika
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Gina S Lovasi
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States
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5
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Mooney SJ, Lemaitre RN, Siscovick DS, Hurvitz P, Goh CE, Kaufman TK, Zulaika G, Sheehan DM, Sotoodehnia N, Lovasi GS. Neighborhood food environment, dietary fatty acid biomarkers, and cardiac arrest risk. Health Place 2018; 53:128-134. [PMID: 30121010 PMCID: PMC6245544 DOI: 10.1016/j.healthplace.2018.08.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Revised: 07/19/2018] [Accepted: 08/03/2018] [Indexed: 12/21/2022]
Abstract
We explored links between food environments, dietary intake biomarkers, and sudden cardiac arrest in a population-based longitudinal study using cases and controls accruing between 1990 and 2010 in King County, WA. Surprisingly, presence of more unhealthy food sources near home was associated with a lower 18:1 trans-fatty acid concentration (-0.05% per standard deviation higher count of unhealthy food sources, 95% Confidence Interval [CI]: 0.01, 0.09). However, presence of more unhealthy food sources was associated with higher odds of cardiac arrest (Odds Ratio [OR]: 2.29, 95% CI: 1.19, 4.41 per standard deviation in unhealthy food outlets). While unhealthy food outlets were associated with higher cardiac arrest risk, circulating 18:1 trans fats did not explain the association.
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Affiliation(s)
- Stephen J Mooney
- Harborview Injury Prevention & Research Center, University of Washington, 401 Broadway, 4th Floor, Seattle, WA 98122, USA.
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | | | - Philip Hurvitz
- Department of Urban Design & Planning, College of Built Environments, University of Washington, Seattle, WA, USA
| | - Charlene E Goh
- Department of Epidemiology, Columbia University, New York, NY, USA
| | - Tanya K Kaufman
- New York City Department of Health and Mental Hygiene, New York, NY, USA
| | - Garazi Zulaika
- Department of Epidemiology, Columbia University, New York, NY, USA
| | - Daniel M Sheehan
- Department of Epidemiology, Columbia University, New York, NY, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Gina S Lovasi
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
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6
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Abstract
Although the mechanism of sudden cardiac death (SCD) in heart failure is not completely known, genetic variations are known to play key roles in this process. Increasing numbers of mutations and variants are being discovered through genome-wide association studies. The genetic variations involved in the mechanisms of SCD have aroused widespread concern. Comprehensive understanding of the genetic variations involved in SCD may help prevent it. To this end, we briefly reviewed the genetic variations involved in SCD and their associations and interactions, and observed that cardiac ion channels are the core molecules involved in this process. Genetic variations involved in cardiac structure, cardiogenesis and development, cell division and differentiation, and DNA replication and transcription are all speculated to be loci involved in SCD. Additionally, the systems involved in neurohumoral regulation as well as substance and energy metabolism are also potentially responsible for susceptibility to SCD. They form an elaborate network and mutually interact with each other to govern the fate of SCD-susceptible individuals.
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7
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Circulating n-3 fatty acids and trans-fatty acids, PLA2G2A gene variation and sudden cardiac arrest. J Nutr Sci 2016; 5:e12. [PMID: 27313848 PMCID: PMC4791519 DOI: 10.1017/jns.2016.2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Revised: 11/16/2015] [Accepted: 01/07/2016] [Indexed: 11/16/2022] Open
Abstract
Whether genetic factors influence the associations of fatty acids with the risk of sudden
cardiac arrest (SCA) is largely unknown. To investigate possible gene–fatty acid
interactions on SCA risk, we used a case-only approach and measured fatty acids in
erythrocyte samples from 1869 SCA cases in a population-based repository with genetic
data. We selected 191 SNP in ENCODE-identified regulatory regions of fifty-five candidate
genes in fatty acid metabolic pathways. Using linear regression and additive genetic
models, we investigated the association of the selected SNP with erythrocyte levels of
fatty acids, including DHA, EPA and trans-fatty acids among the SCA
cases. The assumption of no association in non-cases was supported by analysis of publicly
available datasets containing over 8000 samples. None of the SNP–fatty acid associations
tested among the cases reached statistical significance after correction for multiple
comparisons. One SNP, rs4654990 near PLA2G2A, with an allele frequency of
0·33, was nominally associated with lower levels of DHA and EPA and higher levels of
trans-fatty acids. The strongest association was with DHA levels
(exponentiated coefficient for one unit (1 % of total fatty acids), 0·90, 95 % CI 0·85,
0·97; P = 0·003), indicating that for subjects with a coded allele, the
OR of SCA associated with one unit higher DHA is about 90 % what it is for subjects with
one fewer coded allele. These findings suggest that the associations of circulating
n-3 and trans-fatty acids with SCA risk may be more
pronounced in carriers of the rs4654990 G allele.
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8
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Ellis KL, Zhou Y, Beshansky JR, Ainehsazan E, Selker HP, Cupples LA, Huggins GS, Peter I. Genetic modifiers of response to glucose-insulin-potassium (GIK) infusion in acute coronary syndromes and associations with clinical outcomes in the IMMEDIATE trial. THE PHARMACOGENOMICS JOURNAL 2015; 15:488-95. [PMID: 25778467 DOI: 10.1038/tpj.2015.10] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Revised: 12/17/2014] [Accepted: 01/28/2015] [Indexed: 11/09/2022]
Abstract
Modifiers of response to glucose, insulin and potassium (GIK) infusion may affect clinical outcomes in acute coronary syndromes (ACS). In an Immediate Myocardial Metabolic Enhancement During Initial Assessment And Treatment In Emergency Care (IMMEDIATE) trial's sub-study (n = 318), we explored effects of 132,634 genetic variants on plasma glucose and potassium response to 12-h GIK infusion. Associations between metabolite-associated variants and infarct size (n = 84) were assessed. The 'G' allele of rs12641551, near ACSL1, as well as the 'A' allele of XPO4 rs2585897 were associated with a differential glucose response (P for 2 degrees of freedom test, P2df ⩽ 4.75 × 10(-7)) and infarct size with GIK (P2df < 0.05). Variants within or near TAS1R3, LCA5, DNAH5, PTPRG, MAGI1, PTCSC3, STRADA, AKAP12, ARFGEF2, ADCYAP1, SETX, NDRG4 and ABCB11 modified glucose response, and near CSF1/AHCYL1 potassium response (P2df ⩽ 4.26 × 10(-7)), but not outcomes. Gene variants may modify glucose and potassium response to GIK infusion, contributing to cardiovascular outcomes in ACS.
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Affiliation(s)
- K L Ellis
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Y Zhou
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - J R Beshansky
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center and Tufts University School of Medicine, Boston, MA, USA.,Regulatory and Clinical Research Management, Regis College, Weston, MA, USA
| | - E Ainehsazan
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - H P Selker
- Regulatory and Clinical Research Management, Regis College, Weston, MA, USA
| | - L A Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - G S Huggins
- Molecular Cardiology Research Institute Center for Translational Genomics, Tufts Medical Center, Boston, MA, USA
| | - I Peter
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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9
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Lindner TW, Deakin CD, Aarsetøy H, Rubertsson S, Heltne JK, Søreide E. A pilot study of angiotensin converting enzyme (ACE) genotype and return of spontaneous circulation following out-of-hospital cardiac arrest. Open Heart 2014; 1:e000138. [PMID: 25332829 PMCID: PMC4189251 DOI: 10.1136/openhrt-2014-000138] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2014] [Revised: 06/25/2014] [Accepted: 07/15/2014] [Indexed: 11/25/2022] Open
Abstract
Objective In the last few years the genetic influence on health and disease outcome has become more apparent. The ACE genotype appears to play a significant role in the pathophysiology of several disease processes. This pilot study aims at showing the feasibility to examine the genetic influence of the ACE genotype on return of spontaneous circulation (ROSC) in out-of-hospital cardiac arrest (OHCA). Methods We performed a prospective observational study of all OHCAs of presumed cardiac origin in a well-defined population. We collected prehospital blood samples for the determination of ACE genotype and used this information together with Utstein template parameters in a multivariable analysis to examine the relationship between ROSC and ACE genotype. Results We collect blood samples in 156 of 361 patients with OHCA of presumed cardiac origin, 127 samples were analysed (mean age 67 years, 86% male, 79% witnessed OHCA, 80% bystander CPR, 62% had a shockable rhythm, ROSC 77%). Distribution of the ACE gene polymorphisms: insertion polymorphism (II) n=22, 17%, insertion/deletion polymorphism (ID) n=66, 52% and deletion polymorphism (DD) n=39, 31%. We found no significant association between ACE II vs ACE DD/DI and ROSC (OR 1.72; CI 0.52 to 5.73; p=0.38). Other ACE genotype groupings (II/ID vs DD or II vs DD) did not change the overall finding of lack of impact of ACE genotype on ROSC. Conclusions This pilot study did not indicate a significant association between ACE gene polymorphism and ROSC. However, it has demonstrated that prehospital genetic studies including blood sampling are feasible and ethically acceptable.
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Affiliation(s)
- Thomas W Lindner
- Department of Anaesthesiology and Intensive Care , Stavanger University Hospital , Stavanger , Norway
| | - Charles D Deakin
- South Central Ambulance Service NHS Foundation Trust , Otterbourne , UK ; NIHR Southampton Respiratory Biomedical Research Unit , Southampton University Hospital NHS Foundation Trust , Southampton , UK ; School of Health Sciences , University of Surrey , UK
| | - Hildegunn Aarsetøy
- Department of Medicine , Stavanger University Hospital , Stavanger , Norway
| | - Sten Rubertsson
- Department of Surgical Sciences , Anaesthesiology and Critical Care Medicine, Uppsala University , Uppsala , Sweden
| | - Jon-Kenneth Heltne
- Department of Anaesthesia and Intensive Care , Haukeland University Hospital , Bergen , Norway ; Department of Clinical Medicine , University of Bergen , Bergen , Norway
| | - Eldar Søreide
- Department of Anaesthesiology and Intensive Care , Stavanger University Hospital , Stavanger , Norway ; Department of Clinical Medicine , University of Bergen , Bergen , Norway
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10
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Lemaitre RN, Johnson CO, Hesselson S, Sotoodehnia N, Sotoodhenia N, McKnight B, Sitlani CM, Rea TD, King IB, Kwok PY, Mak A, Li G, Brody J, Larson E, Mozaffarian D, Psaty BM, Huertas-Vazquez A, Tardif JC, Albert CM, Lyytikäinen LP, Arking DE, Kääb S, Huikuri HV, Krijthe BP, Eijgelsheim M, Wang YA, Reinier K, Lehtimäki T, Pulit SL, Brugada R, Müller-Nurasyid M, Newton-Cheh CH, Karhunen PJ, Stricker BH, Goyette P, Rotter JI, Chugh SS, Chakravarti A, Jouven X, Siscovick DS. Common variation in fatty acid metabolic genes and risk of incident sudden cardiac arrest. Heart Rhythm 2014; 11:471-7. [PMID: 24418166 PMCID: PMC3966996 DOI: 10.1016/j.hrthm.2014.01.008] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND There is limited information on genetic factors associated with sudden cardiac arrest (SCA). OBJECTIVE To assess the association of common variation in genes in fatty acid pathways with SCA risk. METHODS We selected 85 candidate genes and 1155 single nucleotide polymorphisms (SNPs) tagging common variation in each gene. We investigated the SNP associations with SCA in a population-based case-control study. Cases (n = 2160) were from a repository of SCA in the greater Seattle area. Controls (n = 2615), frequency-matched on age and sex, were from the same area. We used linear logistic regression to examine SNP associations with SCA. We performed permutation-based p-min tests to account for multiple comparisons within each gene. The SNP associations with a corrected P value of <.05 were then examined in a meta-analysis of these SNP associations in 9 replication studies totaling 2129 SCA cases and 23,833 noncases. RESULTS Eight SNPs in or near 8 genes were associated with SCA risk in the discovery study, one of which was nominally significant in the replication phase (rs7737692, minor allele frequency 36%, near the LPCAT1 gene). For each copy of the minor allele, rs7737692 was associated with 13% lower SCA risk (95% confidence interval -21% to -5%) in the discovery phase and 9% lower SCA risk (95% confidence interval -16% to -1%) in the replication phase. CONCLUSIONS While none of the associations reached significance with Bonferroni correction, a common genetic variant near LPCAT1, a gene involved in the remodeling of phospholipids, was nominally associated with incident SCA risk. Further study is needed to validate this observation.
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Affiliation(s)
- Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington.
| | - Catherine O Johnson
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington
| | - Stephanie Hesselson
- Cardiovascular Research Institute and Institute for Human Genetics, University of California, San Francisco, California
| | | | - Nona Sotoodhenia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington
| | - Barbara McKnight
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington
| | - Thomas D Rea
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington
| | - Irena B King
- Department of Medicine, University of New Mexico, Albuquerque, New Mexico
| | - Pui-Yan Kwok
- Cardiovascular Research Institute and Institute for Human Genetics, University of California, San Francisco, California
| | - Angel Mak
- Cardiovascular Research Institute and Institute for Human Genetics, University of California, San Francisco, California
| | - Guo Li
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington
| | - Jennifer Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington
| | - Eric Larson
- Group Health Research Institute, Seattle, Washington
| | - Dariush Mozaffarian
- Department of Epidemiology, Harvard University, Boston, Massachusetts; Divisions of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington; Department of Epidemiology, University of Washington, Seattle, Washington; Health Services, University of Washington, Seattle, Washington; Group Health Research Institute, Seattle, Washington
| | | | - Jean-Claude Tardif
- Montreal Heart Institute and Université de Montréal, Montreal, Quebec, Canada
| | - Christine M Albert
- Divisions of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, Massachusetts; Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories and University of Tampere School of Medicine, Tampere, Finland
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Stefan Kääb
- Department of Medicine I, University Hospital Grosshadern, Ludwig-Maximilians-University and Munich Heart Alliance, Munich, Germany
| | - Heikki V Huikuri
- Institute of Clinical Medicine, Medical Research Center Oulu, University of Oulu, Oulu, Finland
| | - Bouwe P Krijthe
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Netherlands Consortium for Healthy Aging [NCHA], The Netherlands
| | - Mark Eijgelsheim
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Ying A Wang
- Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Kyndaron Reinier
- Cedars-Sinai Medical Center, Heart Institute, Los Angeles, California
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and University of Tampere School of Medicine, Tampere, Finland
| | - Sara L Pulit
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts; Program in Medical and Population Genetics, the Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts
| | - Ramon Brugada
- Cardiovascular Genetics Center, Institut Investigació Biomèdica de Girona IDIBGI-Universitat de Girona, Girona, Spain
| | - Martina Müller-Nurasyid
- Department of Medicine I, University Hospital Grosshadern, and Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany; Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Chris H Newton-Cheh
- Center for Human Genetic Research and Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts; Framingham Heart Study, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, Massachusetts
| | - Pekka J Karhunen
- Department of Forensic Medicine, Fimlab Laboratories and University of Tampere School of Medicine, Tampere, Finland
| | - Bruno H Stricker
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Netherlands Consortium for Healthy Aging [NCHA], The Netherlands; Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands; Inspectorate for Health Care, The Hague, The Netherlands
| | - Philippe Goyette
- Montreal Heart Institute and Université de Montréal, Montreal, Quebec, Canada
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute, Torrance, California; Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, California
| | - Sumeet S Chugh
- Cedars-Sinai Medical Center, Heart Institute, Los Angeles, California
| | - Aravinda Chakravarti
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Xavier Jouven
- Department of Cardiology, University Paris Descartes, Paris, France; Department of Epidemiology, University Paris Descartes, Paris, France
| | - David S Siscovick
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington; Department of Epidemiology, University of Washington, Seattle, Washington
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Ouellette C, Cormier H, Rudkowska I, Guénard F, Lemieux S, Couture P, Vohl MC. Polymorphisms in genes involved in the triglyceride synthesis pathway and marine omega-3 polyunsaturated fatty acid supplementation modulate plasma triglyceride levels. JOURNAL OF NUTRIGENETICS AND NUTRIGENOMICS 2014; 6:268-80. [PMID: 24401637 DOI: 10.1159/000357432] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2013] [Accepted: 11/19/2013] [Indexed: 01/01/2023]
Abstract
BACKGROUND Marine omega-3 (n-3) polyunsaturated fatty acids (PUFA) reduce plasma triglyceride (TG) levels. Genetic factors such as single nucleotide polymorphisms (SNPs) could be responsible for the variability of the plasma TG response to n-3 PUFA supplementation. Previous studies have demonstrated that n-3 PUFA supplementation using fish oil modified the expression levels of three genes involved in the TG synthesis pathway (GPAM, AGPAT3 and AGPAT4) in peripheral blood mononuclear cells. METHODS A total of 210 subjects consumed 5 g/day of a fish oil supplement for 6 weeks. Plasma lipids were measured before and after the supplementation period. Three SNPs in GPAM, 13 SNPs in AGPAT3 and 35 SNPs in AGPAT4 were genotyped. RESULTS In an ANOVA for repeated measures adjusted for age, sex and BMI, genotype effects on plasma TG levels were observed for rs1838452 in AGPAT3 as well as for rs746731 and rs2293286 in AGPAT4. Genotype × supplementation interaction effects on plasma TG levels were observed for rs2792751 and rs17129561 in GPAM as well as for rs3798943 and rs9458172 in AGPAT4 (p < 0.05). CONCLUSION These results suggest that SNPs in genes involved in the TG synthesis pathway may influence plasma TG levels after n-3 PUFA supplementation.
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Affiliation(s)
- Catherine Ouellette
- Institute of Nutrition and Functional Foods, Laval University, Quebec, Que., Canada
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12
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Dungan JR, Hauser ER, Qin X, Kraus WE. The genetic basis for survivorship in coronary artery disease. Front Genet 2013; 4:191. [PMID: 24143143 PMCID: PMC3784965 DOI: 10.3389/fgene.2013.00191] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2013] [Accepted: 09/06/2013] [Indexed: 01/14/2023] Open
Abstract
Survivorship is a trait characterized by endurance and virility in the face of hardship. It is largely considered a psychosocial attribute developed during fatal conditions, rather than a biological trait for robustness in the context of complex, age-dependent diseases like coronary artery disease (CAD). The purpose of this paper is to present the novel phenotype, survivorship in CAD as an observed survival advantage concurrent with clinically significant CAD. We present a model for characterizing survivorship in CAD and its relationships with overlapping time- and clinically-related phenotypes. We offer an optimal measurement interval for investigating survivorship in CAD. We hypothesize genetic contributions to this construct and review the literature for evidence of genetic contribution to overlapping phenotypes in support of our hypothesis. We also present preliminary evidence of genetic effects on survival in people with clinically significant CAD from a primary case-control study of symptomatic coronary disease. Identifying gene variants that confer improved survival in the context of clinically appreciable CAD may improve our understanding of cardioprotective mechanisms acting at the gene level and potentially impact patients clinically in the future. Further, characterizing other survival-variant genetic effects may improve signal-to-noise ratio in detecting gene associations for CAD.
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13
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Kanter JE, Bornfeldt KE. Inflammation and diabetes-accelerated atherosclerosis: myeloid cell mediators. Trends Endocrinol Metab 2013; 24:137-44. [PMID: 23153419 PMCID: PMC3578033 DOI: 10.1016/j.tem.2012.10.002] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2012] [Revised: 10/12/2012] [Accepted: 10/15/2012] [Indexed: 12/29/2022]
Abstract
Monocytes and macrophages respond to and govern inflammation by producing a plethora of inflammatory modulators, including cytokines, chemokines, and arachidonic acid (C20:4)-derived lipid mediators. One of the most prevalent inflammatory diseases is cardiovascular disease, caused by atherosclerosis, and accelerated by diabetes. Recent research has demonstrated that monocytes/macrophages from diabetic mice and humans with type 1 diabetes show upregulation of the enzyme, acyl-CoA synthetase 1 (ACSL1), which promotes C20:4 metabolism, and that ACSL1 inhibition selectively protects these cells from the inflammatory and proatherosclerotic effects of diabetes, in mice. Increased understanding of the role of ACSL1 and other culprits in monocytes/macrophages in inflammation and diabetes-accelerated atherosclerosis offers hope for new treatment strategies to combat diabetic vascular disease.
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Affiliation(s)
- Jenny E Kanter
- Department of Medicine, Division of Metabolism, Endocrinology and Nutrition, University of Washington, Seattle, WA 98109, USA
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