1,034 results on '"Tsai, Michael"'
Search Results
2. Aspirin and Cardiovascular Risk in Individuals With Elevated Lipoprotein(a): The Multi‐Ethnic Study of Atherosclerosis
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Bhatia, Harpreet S, Trainor, Patrick, Carlisle, Samantha, Tsai, Michael Y, Criqui, Michael H, DeFilippis, Andrew, and Tsimikas, Sotirios
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Clinical Research ,Heart Disease - Coronary Heart Disease ,Heart Disease ,Prevention ,Atherosclerosis ,Cardiovascular ,2.4 Surveillance and distribution ,Aetiology ,Good Health and Well Being ,Humans ,Cardiovascular Diseases ,Prospective Studies ,Aspirin ,Risk Factors ,Coronary Disease ,Heart Disease Risk Factors ,aspirin ,cardiovascular disease ,Lipoprotein(a) ,primary prevention ,Cardiorespiratory Medicine and Haematology ,Cardiovascular medicine and haematology - Abstract
BackgroundEffective therapies for reducing cardiovascular disease (CVD) risk in people with elevated lipoprotein(a) are lacking, especially for primary prevention. Because of the potential association of lipoprotein(a) with thrombosis, we evaluated the relationship between aspirin use and CVD events in people with elevated lipoprotein(a).Methods and resultsWe used data from the MESA (Multi-Ethnic Study of Atherosclerosis), a prospective cohort study of individuals free of baseline cardiovascular disease. Due to potential confounding by indication, we matched aspirin users to nonusers using a propensity score based on CVD risk factors. We then evaluated the association between aspirin use and coronary heart disease (CHD) events (CHD death, nonfatal myocardial infarction) stratified by baseline lipoprotein(a) level (threshold of 50 mg/dL) using Cox proportional hazards models with adjustment for CVD risk factors. After propensity matching, the study cohort included 2183 participants, including 1234 (57%) with baseline aspirin use and 423 (19%) with lipoprotein(a) >50 mg/dL. Participants with lipoprotein(a) >50 mg/dL had a higher burden of CVD risk factors, more frequent aspirin use (61.7% versus 55.3%, P=0.02), and higher rate of incident CHD events (13.7% versus 8.9%, P50 mg/dL and aspirin use had similar CHD risk as those with lipoprotein(a) ≤50 mg/dL regardless of aspirin use.ConclusionsAspirin use was associated with a significantly lower risk for CHD events in participants with lipoprotein(a) >50 mg/dL without baseline CVD. The results of this observational propensity-matched study require confirmation in studies with randomization of aspirin use.
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- 2024
3. Role of Polyunsaturated Fat in Modifying Cardiovascular Risk Associated With Family History of Cardiovascular Disease: Pooled De Novo Results From 15 Observational Studies.
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Brouwer, Ingeborg, De Faire, Ulf, Eiriksdottir, Gudny, Ferrucci, Luigi, Forouhi, Nita, Geleijnse, Johanna, Hodge, Allison, Kimura, Hitomi, Laakso, Markku, Risérus, Ulf, van Westing, Anniek, Bandinelli, Stefania, Baylin, Ana, Giles, Graham, Gudnason, Vilmundur, Iso, Hiroyasu, Lemaitre, Rozenn, Ninomiya, Toshiharu, Post, Wendy, Psaty, Bruce, Salonen, Jukka, Schulze, Matthias, Tsai, Michael, Uusitupa, Matti, Wareham, Nicholas, Oh, Seung-Won, Wood, Alexis, Harris, William, Siscovick, David, Mozaffarian, Dariush, Leander, Karin, Laguzzi, Federica, Åkesson, Agneta, Marklund, Matti, Qian, Frank, Gigante, Bruna, Bartz, Traci, Bassett, Julie, Birukov, Anna, Campos, Hannia, Hirakawa, Yoichiro, Imamura, Fumiaki, Jäger, Susanne, Lankinen, Maria, Murphy, Rachel, Senn, Mackenzie, Tanaka, Toshiko, Tintle, Nathan, Virtanen, Jyrki, Yamagishi, Kazumasa, and Allison, Matthew
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biomarkers ,cardiovascular diseases ,family medical history ,polyunsaturated fatty acids ,precision medicine ,Animals ,Fatty Acids ,Omega-3 ,Cardiovascular Diseases ,Risk Factors ,Docosahexaenoic Acids ,Biomarkers - Abstract
BACKGROUND: It is unknown whether dietary intake of polyunsaturated fatty acids (PUFA) modifies the cardiovascular disease (CVD) risk associated with a family history of CVD. We assessed interactions between biomarkers of low PUFA intake and a family history in relation to long-term CVD risk in a large consortium. METHODS: Blood and tissue PUFA data from 40 885 CVD-free adults were assessed. PUFA levels ≤25th percentile were considered to reflect low intake of linoleic, alpha-linolenic, and eicosapentaenoic/docosahexaenoic acids (EPA/DHA). Family history was defined as having ≥1 first-degree relative who experienced a CVD event. Relative risks with 95% CI of CVD were estimated using Cox regression and meta-analyzed. Interactions were assessed by analyzing product terms and calculating relative excess risk due to interaction. RESULTS: After multivariable adjustments, a significant interaction between low EPA/DHA and family history was observed (product term pooled RR, 1.09 [95% CI, 1.02-1.16]; P=0.01). The pooled relative risk of CVD associated with the combined exposure to low EPA/DHA, and family history was 1.41 (95% CI, 1.30-1.54), whereas it was 1.25 (95% CI, 1.16-1.33) for family history alone and 1.06 (95% CI, 0.98-1.14) for EPA/DHA alone, compared with those with neither exposure. The relative excess risk due to interaction results indicated no interactions. CONCLUSIONS: A significant interaction between biomarkers of low EPA/DHA intake, but not the other PUFA, and a family history was observed. This novel finding might suggest a need to emphasize the benefit of consuming oily fish for individuals with a family history of CVD.
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- 2024
4. Longitudinal lipidomic profiles during pregnancy and associations with neonatal anthropometry: findings from a multiracial cohort.
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Song, Yiqing, Lu, Ruijin, Yu, Guoqi, Rahman, Mohammad, Chen, Liwei, Zhu, Yeiyi, Tsai, Michael, Chen, Zhen, Zhang, Cuilin, and Fiehn, Oliver
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Birthweight ,Body length ,Lipidomics ,Neonatal anthropometry ,Pregnancy ,Sum of body circumferences ,Sum of skinfolds ,Infant ,Newborn ,Child ,Pregnancy ,Humans ,Female ,Lipidomics ,Anthropometry ,Fetal Development ,Birth Weight ,Lipids - Abstract
BACKGROUND: Maternal lipidomic profiling offers promise for characterizing lipid metabolites during pregnancy, but longitudinal data are limited. This study aimed to examine associations of longitudinal lipidomic profiles during pregnancy with multiple neonatal anthropometry using data from a multiracial cohort. METHODS: We measured untargeted plasma lipidome profiles among 321 pregnant women from the NICHD Fetal Growth Study-Singletons using plasma samples collected longitudinally during four study visits at gestational weeks (GW) 10-14, 15-26, 23-31, and 33-39, respectively. We evaluated individual lipidomic metabolites at each study visit in association with neonatal anthropometry. We also evaluated the associations longitudinally by constructing lipid networks using weighted correlation network analysis and common networks using consensus network analysis across four visits using linear mixed-effects models with the adjustment of false discover rate. FINDINGS: Multiple triglycerides (TG) were positively associated with birth weight (BW), BW Z-score, length and head circumference, while some cholesteryl ester (CE), phosphatidylcholine (PC), sphingomyelines (SM), phosphatidylethanolamines (PE), and lysophosphatidylcholines (LPC 20:3) families were inversely associated with BW, length, abdominal and head circumference at different GWs. Longitudinal trajectories of TG, PC, and glucosylcermides (GlcCer) were associated with BW, and CE (18:2) with BW z-score, length, and sum of skinfolds (SS), while some PC and PE were significantly associated with abdominal and head circumference. Modules of TG at GW 10-14 and 15-26 mainly were associated with BW. At GW 33-39, two networks of LPC (20:3) and of PC, TG, and CE, showed inverse associations with abdominal circumference. Distinct trajectories within two consensus modules with changes in TG, CE, PC, and LPC showed significant differences in BW and length. INTERPRETATION: The results demonstrated that longitudinal changes of TGs during early- and mid-pregnancy and changes of PC, LPC, and CE during late-pregnancy were significantly associated with neonatal anthropometry. FUNDING: National Institute of Child Health and Human Development intramural funding.
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- 2023
5. Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed whole-genome sequencing study.
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Wang, Yuxuan, Selvaraj, Margaret, Li, Xihao, Li, Zilin, Holdcraft, Jacob, Arnett, Donna, Bis, Joshua, Blangero, John, Boerwinkle, Eric, Bowden, Donald, Cade, Brian, Carlson, Jenna, Carson, April, Chen, Yii-Der, Curran, Joanne, de Vries, Paul, Dutcher, Susan, Ellinor, Patrick, Floyd, James, Fornage, Myriam, Freedman, Barry, Gabriel, Stacey, Germer, Soren, Gibbs, Richard, Guo, Xiuqing, He, Jiang, Heard-Costa, Nancy, Hildalgo, Bertha, Hou, Lifang, Irvin, Marguerite, Joehanes, Roby, Kaplan, Robert, Kardia, Sharon, Kelly, Tanika, Kim, Ryan, Kooperberg, Charles, Kral, Brian, Levy, Daniel, Li, Changwei, Liu, Chunyu, Lloyd-Jone, Don, Loos, Ruth, Mahaney, Michael, Martin, Lisa, Mathias, Rasika, Minster, Ryan, Mitchell, Braxton, Montasser, May, Morrison, Alanna, Murabito, Joanne, Naseri, Take, OConnell, Jeffrey, Palmer, Nicholette, Preuss, Michael, Psaty, Bruce, Raffield, Laura, Rao, Dabeeru, Redline, Susan, Reiner, Alexander, Rich, Stephen, Ruepena, Muagututia, Sheu, Wayne, Smith, Jennifer, Smith, Albert, Tiwari, Hemant, Tsai, Michael, Viaud-Martinez, Karine, Wang, Zhe, Yanek, Lisa, Zhao, Wei, Lin, Xihong, Natarajan, Pradeep, Peloso, Gina, and Rotter, Jerome
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association ,blood lipid ,cholesterol ,lncRNA ,rare variants ,whole-genome sequencing ,Humans ,RNA ,Long Noncoding ,Genome-Wide Association Study ,Precision Medicine ,Whole Genome Sequencing ,Lipids ,Polymorphism ,Single Nucleotide - Abstract
Long non-coding RNAs (lncRNAs) are known to perform important regulatory functions in lipid metabolism. Large-scale whole-genome sequencing (WGS) studies and new statistical methods for variant set tests now provide an opportunity to assess more associations between rare variants in lncRNA genes and complex traits across the genome. In this study, we used high-coverage WGS from 66,329 participants of diverse ancestries with measurement of blood lipids and lipoproteins (LDL-C, HDL-C, TC, and TG) in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) program to investigate the role of lncRNAs in lipid variability. We aggregated rare variants for 165,375 lncRNA genes based on their genomic locations and conducted rare-variant aggregate association tests using the STAAR (variant-set test for association using annotation information) framework. We performed STAAR conditional analysis adjusting for common variants in known lipid GWAS loci and rare-coding variants in nearby protein-coding genes. Our analyses revealed 83 rare lncRNA variant sets significantly associated with blood lipid levels, all of which were located in known lipid GWAS loci (in a ±500-kb window of a Global Lipids Genetics Consortium index variant). Notably, 61 out of 83 signals (73%) were conditionally independent of common regulatory variation and rare protein-coding variation at the same loci. We replicated 34 out of 61 (56%) conditionally independent associations using the independent UK Biobank WGS data. Our results expand the genetic architecture of blood lipids to rare variants in lncRNAs.
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- 2023
6. Lipoprotein(a) and the pooled cohort equations for ASCVD risk prediction: The Multi-Ethnic Study of Atherosclerosifs
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Bhatia, Harpreet S, Rikhi, Rishi, Allen, Tara S, Yeang, Calvin, Guan, Weihua, Garg, Parveen K, Tsai, Michael Y, Criqui, Michael H, Shapiro, Michael D, and Tsimikas, Sotirios
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Clinical Sciences ,Clinical Research ,Prevention ,Cardiovascular ,Atherosclerosis ,Aging ,Heart Disease ,Humans ,Lipoprotein(a) ,Risk Assessment ,Risk Factors ,Risk prediction ,Cardiovascular disease ,ASCVD ,PCE ,Cardiorespiratory Medicine and Haematology ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
Background and aimsLipoprotein(a) [Lp(a)] is an independent risk factor for atherosclerotic cardiovascular disease (ASCVD) but is not included in the Pooled Cohort Equations (PCE). We aimed to assess how well the PCE predict 10-year event rates in individuals with elevated Lp(a), and whether the addition of Lp(a) improves risk prediction.MethodsWe compared observed versus PCE-predicted 10-year ASCVD event rates, stratified by Lp(a) level and ASCVD risk category using Poisson regression, and evaluated the association between Lp(a) > 50 mg/dL and ASCVD risk using Cox proportional hazards models in the Multi-Ethnic Study of Atherosclerosis (MESA). We evaluated the C-index and net reclassification improvement (NRI) with addition of Lp(a) to the PCE.ResultsThe study population included 6639 individuals (20%, n = 1325 with elevated Lp(a)). The PCE accurately predicted 10-year event rates for individuals with elevated Lp(a) with observed event rates falling within predicted limits. Elevated Lp(a) was associated with increased risk of CVD events overall (HR 1.27, 95% CI 1.00-1.60), particularly in low (HR 2.45, 95% CI 1.40-4.31), and high-risk (HR 1.41, 95% CI 1.02-1.96) individuals. Continuous NRI (95% CI) with the addition of Lp(a) to the PCE for CVD was 0.0963 (0.0158-0.1953) overall, and 0.2999 (0.0876, 0.5525) among low-risk individuals.ConclusionsThe PCE performs well for event rate prediction in individuals with elevated Lp(a). However, Lp(a) is associated with increased CVD risk, and the addition of Lp(a) to the PCE improves risk prediction, particularly among low-risk individuals. These results lend support for increasing use of Lp(a) testing for risk assessment.
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- 2023
7. Small dense low-density lipoprotein cholesterol compared to other lipoprotein biomarkers for predicting coronary heart disease among individuals with normal fasting glucose: The Multi-Ethnic Study of Atherosclerosis
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Nomura, Sarah O, Karger, Amy B, Garg, Parveen, Cao, Jing, Bhatia, Harpreet, Duran, Edward K, Duprez, Daniel, Guan, Weihua, and Tsai, Michael Y
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Cardiovascular ,Heart Disease ,Atherosclerosis ,Small dense low-density lipoprotein cholesterol ,Apolipoprotein B ,Low-density lipoprotein particles ,Coronary heart disease ,Cardiovascular medicine and haematology - Abstract
ObjectiveThis study compared small dense low-density lipoprotein cholesterol (sdLDL-C) with apolipoprotein B (apo B), and low-density lipoprotein particles (LDL-P) in predicting CHD risk in generally healthy adults with normal fasting glucose (NFG).MethodsThis study was conducted among participants with NFG in the Multi-Ethnic Study of Atherosclerosis (MESA) prospective cohort with measurements of sdLDL-C, LDL-P, and apo B available at baseline (2000-2002) and follow-up CHD data (through 2015) (N = 3,258). Biomarkers were evaluated as quartiles, and in categories using clinically and 75th percentile-defined cut-points. Discordance/concordance of sdLDL-C relative to other biomarkers was calculated using 75th percentile cut-points and linear regression residuals. Associations between individual biomarkers, sdLDL-C discordance and CHD incidence were evaluated using Cox proportional hazards regression.ResultsThere were 241 incident CHD events in this population through 2015. Higher sdLDL-C, apo B, LDL-P were similarly associated with increased CHD in individuals with NFG. Discordance of sdLDL-C with apo B or LDL-P by 75th percentiles was not significantly associated with CHD. Residuals discordantly higher/lower sdLDL-C relative to apo B (discordant high HR=1.26, 95% CI: 0.89, 1.78; discordant low HR=0.94, 95% CI: 0.68, 1.29) and LDL-P (discordant high HR=1.25, 95% CI: 0.88, 1.75; discordant low HR=0.84, 95% CI:0.60, 1.16), compared to those with concordant measures, had non-statistically significant higher/lower risk of CHD.ConclusionsResults suggest sdLDL-C, apo B and LDL-P are generally comparable for predicting CHD events in normoglycemic individuals. Larger studies are needed to confirm findings and to investigate whether measurement of sdLDL-C may be beneficial to evaluate as an additional risk-enhancing factor.
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- 2023
8. Association of Lp(a) (Lipoprotein[a]) and Hypertension in Primary Prevention of Cardiovascular Disease: The MESA
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Rikhi, Rishi, Bhatia, Harpreet S, Schaich, Christopher L, Ashburn, Nicklaus, Tsai, Michael Y, Michos, Erin D, Chevli, Parag A, Herrington, David M, Tsimikas, Sotirios, and Shapiro, Michael D
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Clinical Sciences ,Cardiovascular ,Atherosclerosis ,Clinical Research ,Aging ,Heart Disease ,Prevention ,Hypertension ,Good Health and Well Being ,Humans ,Cardiovascular Diseases ,Risk Factors ,Prognosis ,Lipoprotein(a) ,Biomarkers ,Primary Prevention ,apolipoproteins ,cardiovascular diseases ,hypertension ,lipoprotein(a) ,risk ,Cardiorespiratory Medicine and Haematology ,Public Health and Health Services ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
BackgroundThis study explored the longitudinal relationship of Lp(a) (lipoprotein[a]) and hypertension to cardiovascular outcomes in a large multiethnic cohort free of baseline cardiovascular disease.MethodsIndividuals from the MESA (Multi-Ethnic Study of Atherosclerosis; N=6674) were grouped as follows: group 1: Lp(a)
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- 2023
9. Physical activity and individual plasma phospholipid SFAs in pregnancy: a longitudinal study in a multiracial/multiethnic cohort in the United States.
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Liu, Xinyue, Chen, Liwei, Fei, Zhe, Zhao, Sifang, Zhu, Yeyi, Xia, Tong, Dai, Jin, Rahman, Mohammad, Wu, Jing, Weir, Natalie, Tsai, Michael, and Zhang, Cuilin
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PA ,SFAs ,maternal exercise ,physical activity ,pregnancy health ,pregnant females ,prospective cohort ,saturated fatty acids ,Female ,Humans ,Pregnancy ,Exercise ,Longitudinal Studies ,Phospholipids ,Prospective Studies ,United States - Abstract
BACKGROUND: Circulating individual SFAs in pregnant females are critical for maternal and fetal health. However, research on identifying their modifiable factors is limited. OBJECTIVES: We aimed to examine the associations of total physical activity (PA) and types of PA with circulating individual SFAs during pregnancy in a multiracial/multiethnic cohort of pregnant females in the United States. METHODS: The study included participants in a nested case-control study (n = 321) from the Eunice Kennedy Shriver NICHD Fetal Growth Studies-Singleton Cohort. Sampling weights were applied, so the results represented the entire Fetal Growth Cohort. Plasma phospholipid SFAs were measured at 4 visits [10-14 (visit 1), 15-26 (visit 2), 23-31 (visit 3), and 33-39 (visit 4) weeks of gestation] throughout pregnancy. PA of the previous year at visit 1 and since the previous visit at the subsequent visits was assessed using the validated Pregnancy PA Questionnaire. Time-specific and longitudinal associations were examined using multivariable linear and generalized estimating equation models. RESULTS: Total PA (metabolic equivalent of task-h/wk) was positively associated with circulating heptadecanoic acid (17:0) at visit 1 (β × 103: 0.07; 95% CI: 0.02, 0.11) and pentadecanoic acid (15:0) at visit 3 (β × 103: 0.09; 95% CI: 0.03, 0.14) independent of sociodemographic, reproductive, pregnancy, and dietary factors. Across the 4 visits, the positive associations with total PA were consistent for pentadecanoic acid (β × 103: 0.06; 95% CI: 0.02, 0.10) and heptadecanoic acid (β × 103: 0.10; 95% CI: 0.06, 0.14). Out of the 4 PA types (i.e., sports/exercise, household/caregiving, transportation, and occupational PA) considered, the magnitude of positive associations was the largest for sports/exercise PA. CONCLUSIONS: Our findings suggest that maternal PA is positively associated with circulating pentadecanoic and heptadecanoic acids. The findings warrant confirmation by future studies.This trial was registered at clinicaltrials.gov as NCT00912132.
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- 2022
10. High-Density Lipoprotein and Long-Term Incidence and Progression of Aortic Valve Calcification: The Multi-Ethnic Study of Atherosclerosis
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Bortnick, Anna E, Buzkova, Petra, Otvos, James D, Jensen, Majken K, Tsai, Michael Y, Budoff, Matthew J, Mackey, Rachel H, Khoudary, Samar R El, Favari, Elda, Kim, Ryung S, Rodriguez, Carlos J, Thanassoulis, George, and Kizer, Jorge R
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Clinical Sciences ,Aging ,Cardiovascular ,Atherosclerosis ,Heart Disease ,Aetiology ,2.1 Biological and endogenous factors ,Aortic Valve ,Aortic Valve Stenosis ,Calcinosis ,Cholesterol Ester Transfer Proteins ,Cholesterol ,HDL ,Humans ,Incidence ,Lipoproteins ,HDL ,Male ,cardiovascular disease ,cholesterol ,cholesteryl ester transfer protein ,incidence ,lipoprotein ,Cardiorespiratory Medicine and Haematology ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
BackgroundAortic valve calcification (AVC) shares pathological features with atherosclerosis. Lipoprotein components have been detected in aortic valve tissue, including HDL (high-density lipoprotein). HDL measures have inverse associations with cardiovascular disease, but relationships with long-term AVC progression are unclear. We investigated associations of HDL cholesterol, HDL-particle number and size, apoC3-defined HDL subtypes, and, secondarily, CETP (cholesteryl ester transfer protein) mass and activity, with long-term incidence and progression of AVC.MethodsWe used linear mixed-effects models to evaluate the associations of baseline HDL indices with AVC. AVC was quantified by Agatston scoring of up to 3 serial computed tomography scans over a median of 8.9 (maximum 11.2) years of follow-up in the Multi-Ethnic Study of Atherosclerosis (n=6784).ResultsAfter adjustment, higher concentrations of HDL-C (high-density lipoprotein cholesterol), HDL-P (HDL particles), large HDL-P, and apoC3-lacking HDL-C were significantly associated with lower incidence/progression of AVC. Neither small or medium HDL-P nor apoC3-containing HDL-C was significantly associated with AVC incidence/progression. When included together, a significant association was observed only for HDL-C, but not for HDL-P. Secondary analyses showed an inverse relationship between CETP mass, but not activity, and AVC incidence/progression. In exploratory assessments, inverse associations for HDL-C, HDL-P, large HDL-P, and apoC3-lacking HDL with AVC incidence/progression were more pronounced for older, male, and White participants. ApoC3-containing HDL-C only showed a positive association with AVC in these subgroups.ConclusionsIn a multiethnic population, HDL-C, HDL-P, large HDL-P, and apoC3-lacking HDL-C were inversely associated with long-term incidence and progression of AVC. Further investigation of HDL composition and mechanisms could be useful in understanding pathways that slow AVC.
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- 2022
11. Identifying People at High Risk for Severe Aortic Stenosis: Aortic Valve Calcium Versus Lipoprotein(a) and Low-Density Lipoprotein Cholesterol
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Marrero, Natalie, Jha, Kunal, Razavi, Alexander C., Boakye, Ellen, Anchouche, Khalil, Dzaye, Omar, Budoff, Matthew J., Tsai, Michael Y., Shah, Sanjiv J., Rotter, Jerome I., Guo, Xiuqing, Yao, Jie, Blumenthal, Roger S., Thanassoulis, George, Post, Wendy S., Blaha, Michael J., and Whelton, Seamus P.
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- 2024
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12. Omega-3 fatty acids, subclinical atherosclerosis, and cardiovascular events: Implications for primary prevention
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Alfaddagh, Abdulhamied, Kapoor, Karan, Dardari, Zeina A, Bhatt, Deepak L, Budoff, Matthew J, Nasir, Khurram, Miller, Michael, Welty, Francine K, Miedema, Michael D, Shapiro, Michael D, Tsai, Michael Y, Blumenthal, Roger S, and Blaha, Michael J
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Biomedical and Clinical Sciences ,Nutrition and Dietetics ,Clinical Research ,Prevention ,Complementary and Integrative Health ,Heart Disease ,Heart Disease - Coronary Heart Disease ,Aging ,Nutrition ,Cardiovascular ,Atherosclerosis ,Stroke ,Aged ,Cardiovascular Diseases ,Coronary Artery Disease ,Disease Progression ,Docosahexaenoic Acids ,Eicosapentaenoic Acid ,Fatty Acids ,Omega-3 ,Female ,Humans ,Male ,Middle Aged ,Primary Prevention ,Risk Factors ,Eicosapentaenoic acid ,Docosahexaenoic acid ,Coronary artery calcium ,Cardiovascular disease ,Primary prevention ,Cardiorespiratory Medicine and Haematology ,Clinical Sciences ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
Background and aimsHigh-dose eicosapentaenoic acid (EPA) therapy was beneficial in high-risk patients without clinical cardiovascular disease (CVD). Whether higher plasma levels of EPA and docosahexaenoic acid (DHA) have similar benefits in those without subclinical CVD is unclear. We aim to evaluate the interplay between plasma omega-3 fatty acids and coronary artery calcium (CAC) in relation to CVD events.MethodsWe examined 6568 participants from the Multi-Ethnic Study of Atherosclerosis (MESA) with plasma EPA and DHA levels and CAC measured at baseline. The primary outcome was incident CVD events (myocardial infarction, angina, cardiac arrest, stroke, CVD death). Hazard ratios for the primary outcome were adjusted for potential confounder using Cox regression.ResultsMean ± SD age was 62.1 ± 10.2 years and 52.9% were females. The median follow-up time was 15.6 years. Higher loge(EPA) (adjusted hazard ratio, aHR = 0.83; 95% CI, 0.74-0.94) and loge(DHA) (aHR = 0.79; 95% CI, 0.66-0.96) were independently associated with fewer CVD events. The difference in absolute CVD event rates between lowest vs. highest EPA tertile increased at higher CAC levels. The adjusted HR for highest vs. lowest EPA tertile within CAC = 0 was 1.02 (95% CI, 0.72-1.46), CAC = 1-99 was 0.71 (95% CI, 0.51-0.99), and CAC≥100 was 0.67 (95% CI, 0.52-0.84). A similar association was seen in tertiles of DHA by CAC category.ConclusionsIn an ethnically diverse population free of clinical CVD, higher plasma omega-3 fatty acid levels were associated with fewer long-term CVD events. The absolute decrease in CVD events with higher omega-3 fatty acid levels was more apparent at higher CAC scores.
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- 2022
13. Genome-wide association studies and fine-mapping identify genomic loci for n-3 and n-6 polyunsaturated fatty acids in Hispanic American and African American cohorts
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Yang, Chaojie, Veenstra, Jenna, Bartz, Traci M., Pahl, Matthew C., Hallmark, Brian, Chen, Yii-Der Ida, Westra, Jason, Steffen, Lyn M., Brown, Christopher D., Siscovick, David, Tsai, Michael Y., Wood, Alexis C., Rich, Stephen S., Smith, Caren E., O’Connor, Timothy D., Mozaffarian, Dariush, Grant, Struan F. A., Chilton, Floyd H., Tintle, Nathan L., Lemaitre, Rozenn N., and Manichaikul, Ani
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- 2023
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14. Trans Fatty Acid Biomarkers and Incident Type 2 Diabetes: Pooled Analysis of 12 Prospective Cohort Studies in the Fatty Acids and Outcomes Research Consortium (FORCE).
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Lai, Heidi TM, Imamura, Fumiaki, Korat, Andres V Ardisson, Murphy, Rachel A, Tintle, Nathan, Bassett, Julie K, Chen, Jiaying, Kröger, Janine, Chien, Kuo-Liong, Senn, Mackenzie, Wood, Alexis C, Forouhi, Nita G, Schulze, Matthias B, Harris, William S, Vasan, Ramachandran S, Hu, Frank, Giles, Graham G, Hodge, Allison, Djousse, Luc, Brouwer, Ingeborg A, Qian, Frank, Sun, Qi, Wu, Jason HY, Marklund, Matti, Lemaitre, Rozenn N, Siscovick, David S, Fretts, Amanda M, Shadyab, Aladdin H, Manson, JoAnn E, Howard, Barbara V, Robinson, Jennifer G, Wallace, Robert B, Wareham, Nick J, Chen, Yii-Der Ida, Rotter, Jerome I, Tsai, Michael Y, Micha, Renata, and Mozaffarian, Dariush
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Epidemiology ,Biomedical and Clinical Sciences ,Health Sciences ,Diabetes ,Clinical Research ,Metabolic and endocrine ,Adolescent ,Adult ,Biomarkers ,Cohort Studies ,Diabetes Mellitus ,Type 2 ,Fatty Acids ,Humans ,Outcome Assessment ,Health Care ,Prospective Studies ,Risk Factors ,Trans Fatty Acids ,Fatty Acids and Outcomes Research Consortium ,Medical and Health Sciences ,Endocrinology & Metabolism ,Biomedical and clinical sciences ,Health sciences - Abstract
ObjectiveTrans fatty acids (TFAs) have harmful biologic effects that could increase the risk of type 2 diabetes (T2D), but evidence remains uncertain. We aimed to investigate the prospective associations of TFA biomarkers and T2D by conducting an individual participant-level pooled analysis.Research design and methodsWe included data from an international consortium of 12 prospective cohorts and nested case-control studies from six nations. TFA biomarkers were measured in blood collected between 1990 and 2008 from 25,126 participants aged ≥18 years without prevalent diabetes. Each cohort conducted de novo harmonized analyses using a prespecified protocol, and findings were pooled using inverse-variance weighted meta-analysis. Heterogeneity was explored by prespecified between-study and within-study characteristics.ResultsDuring a mean follow-up of 13.5 years, 2,843 cases of incident T2D were identified. In multivariable-adjusted pooled analyses, no significant associations with T2D were identified for trans/trans-18:2, relative risk (RR) 1.09 (95% CI 0.94-1.25); cis/trans-18:2, 0.89 (0.73-1.07); and trans/cis-18:2, 0.87 (0.73-1.03). Trans-16:1n-9, total trans-18:1, and total trans-18:2 were inversely associated with T2D (RR 0.81 [95% CI 0.67-0.99], 0.86 [0.75-0.99], and 0.84 [0.74-0.96], respectively). Findings were not significantly different according to prespecified sources of potential heterogeneity (each P ≥ 0.1).ConclusionsCirculating individual trans-18:2 TFA biomarkers were not associated with risk of T2D, while trans-16:1n-9, total trans-18:1, and total trans-18:2 were inversely associated. Findings may reflect the influence of mixed TFA sources (industrial vs. natural ruminant), a general decline in TFA exposure due to policy changes during this period, or the relatively limited range of TFA levels.
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- 2022
15. Atherothrombotic factors and atherosclerotic cardiovascular events: the multi-ethnic study of atherosclerosis
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DeFilippis, Andrew P, Trainor, Patrick J, Thanassoulis, George, Brumback, Lyndia C, Post, Wendy S, Tsai, Michael Y, and Tsimikas, Sotirios
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Clinical Sciences ,Atherosclerosis ,Cardiovascular ,Prevention ,Patient Safety ,Clinical Research ,Good Health and Well Being ,Cardiovascular Diseases ,Ethnicity ,Humans ,Lipoprotein(a) ,Proportional Hazards Models ,Risk Assessment ,Risk Factors ,Atherosclerotic cardiovascular disease ,Atherothrombosis ,Fibrinolysis ,Risk prediction ,Factor analysis ,Cardiorespiratory Medicine and Haematology ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
AimsTraditional atherosclerotic cardiovascular disease (ASCVD) risk factors fail to address the full spectrum of the complex interplay of atherosclerotic and atherothrombotic factors integral to ASCVD events. This study sought to examine the association between atherothrombotic biomarkers and ASCVD events.Methods and resultsThe association between atherothrombotic biomarkers and 877 ASCVD events with and without adjustment for traditional risk factors was evaluated via Cox proportional hazards models and factor analysis in 5789 Multi-Ethnic Study of Atherosclerosis participants over a median follow-up of 14.7 years. Factor analysis accounted for multidimensional relationship and shared variance among study biomarkers, which identified two new variables: a thrombotic factor (Factor 1), principally defined by shared variance in fibrinogen, plasmin-antiplasmin complex, factor VIII, D-dimer, and lipoprotein(a), and a fibrinolytic factor (Factor 2), principally defined by shared variance of plasminogen and oxidized phospholipids on plasminogen. In a model including both factors, the thrombotic factor was associated with the higher risk of ASCVD events [hazard ratio (HR) 1.57, 95% confidence interval (CI) 1.45, 1.70], while the fibrinolytic factor was associated with the lower risk of ASCVD events (HR 0.76, 95% CI 0.70, 0.82), with estimated ASCVD free survival highest for low atherothrombotic Factor 1 and high atherothrombotic Factor 2.ConclusionTwo atherothrombotic factors, one representative of thrombotic propensity and the other representative of fibrinolytic propensity, were significantly and complementarily associated with incident ASCVD events, remained significantly associated with incident ASCVD after controlling for traditional risk factors, and have promise for identifying patients at high ASCVD event risk specifically due to their atherothrombotic profile.
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- 2022
16. PUFA ω-3 and ω-6 biomarkers and sleep: a pooled analysis of cohort studies on behalf of the Fatty Acids and Outcomes Research Consortium (FORCE)
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Murphy, Rachel A, Tintle, Nathan, Harris, William S, Darvishian, Maryam, Marklund, Matti, Virtanen, Jyrki K, Hantunen, Sari, de Mello, Vanessa D, Tuomilehto, Jaakko, Lindström, Jaana, Bolt, Matthew A, Brouwer, Ingeborg A, Wood, Alexis C, Senn, Mackenzie, Redline, Susan, Tsai, Michael Y, Gudnason, Vilmundur, Eiriksdottir, Gudny, Lindberg, Eva, Shadyab, Aladdin H, Liu, Buyun, Carnethon, Mercedes, Uusitupa, Matti, Djousse, Luc, Risérus, Ulf, Lind, Lars, van Dam, Rob M, Koh, Woon-Puay, Shi, Peilin, Siscovick, David, Lemaitre, Rozenn N, and Mozaffarian, Dariush
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Biomedical and Clinical Sciences ,Nutrition and Dietetics ,Nutrition ,Clinical Research ,Sleep Research ,Good Health and Well Being ,Biomarkers ,Cohort Studies ,Cross-Sectional Studies ,Fatty Acids ,Fatty Acids ,Omega-3 ,Humans ,Outcome Assessment ,Health Care ,Sleep ,sleep quality ,omega-3 ,fatty acids ,diet ,public health ,biomarkers ,Engineering ,Medical and Health Sciences ,Nutrition & Dietetics ,Clinical sciences ,Nutrition and dietetics - Abstract
Backgroundn-3 and n-6 PUFAs have physiologic roles in sleep processes, but little is known regarding circulating n-3 and n-6 PUFA and sleep parameters.ObjectivesWe sought to assess associations between biomarkers of n-3 and n-6 PUFA intake with self-reported sleep duration and difficulty falling sleeping in the Fatty Acids and Outcome Research Consortium.MethodsHarmonized, de novo, individual-level analyses were performed and pooled across 12 cohorts. Participants were 35-96 y old and from 5 nations. Circulating measures included α-linolenic acid (ALA), EPA, docosapentaenoic acid (DPA), DHA, EPA + DPA + DHA, linoleic acid, and arachidonic acid. Sleep duration (10 cohorts, n = 18,791) was categorized as short (≤6 h), 7-8 h (reference), or long (≥9 h). Difficulty falling asleep (8 cohorts, n = 12,500) was categorized as yes or no. Associations between PUFAs, sleep duration, and difficulty falling sleeping were assessed by cross-sectional multinomial logistic regression using standardized protocols and covariates. Cohort-specific multivariable-adjusted ORs per quintile of PUFAs were pooled with inverse-variance weighted meta-analysis.ResultsIn pooled analysis adjusted for sociodemographic characteristics and health status, participants with higher very long-chain n-3 PUFAs were less likely to have long sleep duration. In the top compared with the bottom quintiles, the multivariable-adjusted ORs (95% CIs) for long sleep were 0.78 (95% CI: 0.65, 0.95) for DHA and 0.76 (95% CI: 0.63, 0.93) for EPA + DPA + DHA. Significant associations for ALA and n-6 PUFA with short sleep duration or difficulty falling sleeping were not identified.ConclusionsParticipants with higher concentrations of very long-chain n-3 PUFAs were less likely to have long sleep duration. While objective biomarkers reduce recall bias and misclassification, the cross-sectional design limits assessment of the temporal nature of this relation. These novel findings across 12 cohorts highlight the need for experimental and biological assessments of very long-chain n-3 PUFAs and sleep duration.
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- 2022
17. A genetic association study of circulating coagulation factor VIII and von Willebrand factor levels
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Abe, Namiko, Abecasis, Gonçalo, Aguet, Francois, Albert, Christine, Almasy, Laura, Alonso, Alvaro, Ament, Seth, Anderson, Peter, Anugu, Pramod, Applebaum-Bowden, Deborah, Ardlie, Kristin, Arking, Dan, Arnett, Donna K, Ashley-Koch, Allison, Aslibekyan, Stella, Assimes, Tim, Auer, Paul, Avramopoulos, Dimitrios, Ayas, Najib, Balasubramanian, Adithya, Barnard, John, Barnes, Kathleen, Barr, R. Graham, Barron-Casella, Emily, Barwick, Lucas, Beaty, Terri, Beck, Gerald, Becker, Diane, Becker, Lewis, Beer, Rebecca, Beitelshees, Amber, Benjamin, Emelia, Benos, Takis, Bezerra, Marcos, Bielak, Larry, Bis, Joshua, Blackwell, Thomas, Blangero, John, Blue, Nathan, Boerwinkle, Eric, Bowden, Donald W., Bowler, Russell, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Brown, Deborah, Bunting, Karen, Burchard, Esteban, Bustamante, Carlos, Buth, Erin, Cade, Brian, Cardwell, Jonathan, Carey, Vincent, Carrier, Julie, Carson, April P., Carty, Cara, Casaburi, Richard, Casas Romero, Juan P, Casella, James, Castaldi, Peter, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chasman, Daniel, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Ida Chen, Yii-Der, Cho, Michael, Choi, Seung Hoan, Chuang, Lee-Ming, Chung, Mina, Chung, Ren-Hua, Clish, Clary, Comhair, Suzy, Conomos, Matthew, Cornell, Elaine, Correa, Adolfo, Crandall, Carolyn, Crapo, James, Cupples, L. Adrienne, Curran, Joanne, Curtis, Jeffrey, Custer, Brian, Damcott, Coleen, Darbar, Dawood, David, Sean, Davis, Colleen, Daya, Michelle, de Andrade, Mariza, de las Fuentes, Lisa, de Vries, Paul, DeBaun, Michael, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Dugan-Perez, Shannon, Duggirala, Ravi, Durda, Jon Peter, Dutcher, Susan K., Eaton, Charles, Ekunwe, Lynette, El Boueiz, Adel, Ellinor, Patrick, Emery, Leslie, Erzurum, Serpil, Farber, Charles, Farek, Jesse, Fingerlin, Tasha, Flickinger, Matthew, Fornage, Myriam, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gabriel, Stacey, Gan, Weiniu, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Gelb, Bruce, Geraci, Mark, Germer, Soren, Gerszten, Robert, Ghosh, Auyon, Gibbs, Richard, Gignoux, Chris, Gladwin, Mark, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Graw, Sharon, Gray, Kathryn J., Grine, Daniel, Gross, Colin, Gu, C. Charles, Guan, Yue, Guo, Xiuqing, Gupta, Namrata, Haessler, Jeff, Hall, Michael, Han, Yi, Hanly, Patrick, Harris, Daniel, Hawley, Nicola L., He, Jiang, Heavner, Ben, Heckbert, Susan, Hernandez, Ryan, Herrington, David, Hersh, Craig, Hidalgo, Bertha, Hixson, James, Hobbs, Brian, Hokanson, John, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Irvin, Marguerite Ryan, Jackson, Rebecca, Jain, Deepti, Jaquish, Cashell, Johnsen, Jill, Johnson, Andrew, Johnson, Craig, Johnston, Rich, Jones, Kimberly, Kang, Hyun Min, Kaplan, Robert, Kardia, Sharon, Kelly, Shannon, Kenny, Eimear, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Konkle, Barbara, Kooperberg, Charles, Kramer, Holly, Lange, Christoph, Lange, Ethan, Lange, Leslie, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Jiwon, Lee, Sandra, Lee, Wen-Jane, LeFaive, Jonathon, Levine, David, Levy, Dan, Lewis, Joshua, Li, Xiaohui, Li, Yun, Lin, Henry, Lin, Honghuang, Lin, Xihong, Liu, Simin, Liu, Yongmei, Liu, Yu, Loos, Ruth J. F., Lubitz, Steven, Lunetta, Kathryn, Luo, James, Magalang, Ulysses, Mahaney, Michael, Make, Barry, Manichaikul, Ani, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, Mathias, Rasika, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGarvey, Stephen, McGoldrick, Daniel, McHugh, Caitlin, McNeil, Becky, Mei, Hao, Meigs, James, Menon, Vipin, Mestroni, Luisa, Metcalf, Ginger, Meyers, Deborah A, Mignot, Emmanuel, Mikulla, Julie, Min, Nancy, Minear, Mollie, Minster, Ryan L, Mitchell, Braxton D., Moll, Matt, Momin, Zeineen, Montasser, May E., Montgomery, Courtney, Muzny, Donna, Mychaleckyj, Josyf C, Nadkarni, Girish, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nekhai, Sergei, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nickerson, Deborah, Nkechinyere, Osuji, North, Kari, O'Connell, Jeff, O'Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Pack, Allan, Paik, David T., Palmer, Nicholette, Pankow, James, Papanicolaou, George, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Peyser, Patricia, Phillips, Lawrence S, Pleiness, Jacob, Pollin, Toni, Post, Wendy, Becker, Julia Powers, Boorgula, Meher Preethi, Preuss, Michael, Psaty, Bruce, Qasba, Pankaj, Qiao, Dandi, Qin, Zhaohui, Rafaels, Nicholas, Raffield, Laura, Rajendran, Mahitha, Ramachandran, Vasan S., Rao, D. C., Rasmussen-Torvik, Laura, Ratan, Aakrosh, Redline, Susan, Reed, Robert, Reeves, Catherine, Regan, Elizabeth, Reiner, Alex, Reupena, Muagututi‘a Sefuiva, Rice, Ken, Rich, Stephen, Robillard, Rebecca, Robine, Nicolas, Roden, Dan, Roselli, Carolina, Rotter, Jerome, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ruuska, Sarah, Ryan, Kathleen, Sabino, Ester Cerdeira, Saleheen, Danish, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Sankaran, Vijay G., Santibanez, Jireh, Schwander, Karen, Schwartz, David, Sciurba, Frank, Seidman, Christine, Seidman, Jonathan, Sériès, Frédéric, Sheehan, Vivien, Sherman, Stephanie L., Shetty, Amol, Shetty, Aniket, Hui-Heng Sheu, Wayne, Shoemaker, M. Benjamin, Silver, Brian, Silverman, Edwin, Skomro, Robert, Smith, Albert Vernon, Smith, Jennifer, Smith, Josh, Smith, Nicholas, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Snyder, Michael, Sofer, Tamar, Sotoodehnia, Nona, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taliun, Daniel, Tang, Hua, Taub, Margaret, Taylor, Kent D., Taylor, Matthew, Taylor, Simeon, Telen, Marilyn, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tishkoff, Sarah, Tiwari, Hemant, Tong, Catherine, Tracy, Russell, Tsai, Michael, Vaidya, Dhananjay, Van Den Berg, David, VandeHaar, Peter, Vrieze, Scott, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Wang, Jiongming, Watson, Karol, Watt, Jennifer, Weeks, Daniel E., Weinstock, Joshua, Weir, Bruce, Weiss, Scott T, Weng, Lu-Chen, Wessel, Jennifer, Willer, Cristen, Williams, Kayleen, Williams, L. Keoki, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Joseph, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Yu, Ketian, Zekavat, Seyedeh Maryam, Zhang, Yingze, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng, Ziv, Elad, Zody, Michael, Zoellner, Sebastian, Lindstrom, Sara, Wang, Lu, Smith, Erin N., Gordon, William, van Hylckama Vlieg, Astrid, Brody, Jennifer A., Pattee, Jack W., Haessler, Jeffrey, Brumpton, Ben M., Chasman, Daniel I., Suchon, Pierre, Chen, Ming-Huei, Turman, Constance, Germain, Marine, Wiggins, Kerri L., MacDonald, James, Braekkan, Sigrid K., Armasu, Sebastian M., Pankratz, Nathan, Jackson, Rabecca D., Nielsen, Jonas B., Giulianini, Franco, Puurunen, Marja K., Ibrahim, Manal, Heckbert, Susan R., Bammler, Theo K., Frazer, Kelly A., McCauley, Bryan M., Taylor, Kent, Pankow, James S., Reiner, Alexander P., Gabrielsen, Maiken E., Deleuze, Jean-François, O'Donnell, Chris J., Kim, Jihye, McKnight, Barbara, Kraft, Peter, Hansen, John-Bjarne, Rosendaal, Frits R., Heit, John A., Psaty, Bruce M., Tang, Weihong, Hveem, Kristian, Ridker, Paul M., Morange, Pierre-Emmanuel, Johnson, Andrew D., Kabrhel, Christopher, AlexandreTrégouët, David, Smith, Nicholas L., de Vries, Paul S., Reventun, Paula, Brown, Michael R., Heath, Adam S., Huffman, Jennifer E., Le, Ngoc-Quynh, Bebo, Allison, Temprano-Sagrera, Gerard, Raffield, Laura M., Ozel, Ayse Bilge, Thibord, Florian, Lewis, Joshua P., Rodriguez, Benjamin A. T., Polasek, Ozren, Yanek, Lisa R., Carrasquilla, German D., Marioni, Riccardo E., Kleber, Marcus E., Trégouët, David-Alexandre, Yao, Jie, Li-Gao, Ruifang, Joshi, Peter K., Trompet, Stella, Martinez-Perez, Angel, Ghanbari, Mohsen, Howard, Tom E., Reiner, Alex P., Arvanitis, Marios, Ryan, Kathleen A., Bartz, Traci M., Rudan, Igor, Faraday, Nauder, Linneberg, Allan, Davies, Gail, Delgado, Graciela E., Klaric, Lucija, Noordam, Raymond, van Rooij, Frank, Curran, Joanne E., Wheeler, Marsha M., Osburn, William O., O'Connell, Jeffrey R., Beswick, Andrew, Kolcic, Ivana, Souto, Juan Carlos, Becker, Lewis C., Hansen, Torben, Doyle, Margaret F., Harris, Sarah E., Moissl, Angela P., Rich, Stephen S., Campbell, Harry, Stott, David J., Soria, Jose Manuel, de Maat, Moniek P. M., Brody, Lawrence C., Auer, Paul L., Ben-Shlomo, Yoav, Hayward, Caroline, Mathias, Rasika A., Kilpeläinen, Tuomas O., Lange, Leslie A., Cox, Simon R., März, Winfried, Rotter, Jerome I., Mook-Kanamori, Dennis O., Wilson, James F., van der Harst, Pim, Jukema, J. Wouter, Ikram, M. Arfan, Desch, Karl C., Sabater-Lleal, Maria, Lowenstein, Charles J., and Morrison, Alanna C.
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- 2024
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18. Maternal plasma phospholipid polyunsaturated fatty acids in early pregnancy and thyroid function throughout pregnancy: a longitudinal study
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Li, Ling-Jun, Lu, Ruijin, Rawal, Shristi, Birukov, Anna, Weir, Natalie L, Tsai, Michael Y, Wu, Jing, Chen, Zhen, and Zhang, Cuilin
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- 2024
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19. Atherothrombotic and thrombolytic biomarkers in incident stroke and atrial fibrillation-related stroke: The Multi-Ethnic Study of Atherosclerosis (MESA)
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Lidani, Karita Claudia Freitas, Trainor, Patrick James, Bhatia, Harpreet S., Nasir, Khurram, Blaha, Michael J., Tsai, Michael Y., Gottesman, Rebecca F., Post, Wendy S., Thanassoulis, George, Tsimikas, Sotirios, Heckbert, Susan R., and DeFilippis, Andrew Paul
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- 2024
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20. A longitudinal study on associations of moderate-to-vigorous physical activity with plasma monounsaturated fatty acids in pregnancy.
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Xia, Tong, Chen, Liwei, Fei, Zhe, Liu, Xinyue, Dai, Jin, Hinkle, Stefanie, Zhu, Yeyi, Wu, Jing, Weir, Natalie, Tsai, Michael, and Zhang, Cuilin
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fatty acids ,moderate-to-vigorous physical activity ,monounsaturated fatty acids ,physical activity ,pregnant women - Abstract
BACKGROUND: Physical activity (PA) during pregnancy influences women and offsprings health via fatty acids metabolism. However, studies on associations of PA with plasma monounsaturated fatty acids (MUFAs) across pregnancy are sparse. Thus, our study aimed to examine associations of PA with individual plasma phospholipid MUFAs throughout pregnancy in a prospective and longitudinal study in the United States (US). MATERIALS AND METHODS: The study included 318 pregnant women from the Eunice Kennedy Shriver National Institute of Child Health and Human Development Fetal Growth Studies-Singletons cohort. PA was measured four times: PA reported at 10-14 gestational weeks (GWs) representing PA in the past year, and at 15-26 GWs, 23-31 GWs, and 33-39 GWs representing PA since the last visit. Plasma phospholipid MUFAs were measured at the same four visits as the measurement of PA. Associations between moderate-to-vigorous PA (MVPA) and the total MUFAs and seven individual plasma phospholipid MUFAs (i.e., palmitoleic acid, 18:1n6-9 trans, 18:1n6c, cis-vaccenic acid, oleic acid, eicosenoic acid, and nervonic acid) were assessed at each visit using multivariable linear regression models adjusting for confounders. RESULTS: MVPA (hours/week) reported at 15-26 GWs representing MVPA since the last visit was positively associated with total MUFAs (% of total fatty acids) [adjusted β*102 (standard error (SE)*102) = 10.41 (3.19), P = 0.001] at 15-26 GWs. For individual MUFAs, MVPA reported at 15-26 GWs representing MVPA since the last visit was positively associated with oleic acid [adjusted β*102 (SE*102) = 8.56 (2.65), P = 0.001] and eicosenoic acid [adjusted β*102 (SE*102) = 0.55 (0.20), P = 0.01] at 15-26 GWs. MVPA reported at 23-31 GWs representing MVPA since the last visit was positively associated with palmitoleic acid [adjusted β*102 (SE*102) = 2.24 (0.64), P = 0.001] at 23-31 GWs. MVPA reported at 10-14 GWs and 33-39 GWs was not associated with total or individual MUFAs. CONCLUSION: We found novel positive associations of MVPA with individual MUFAs, such as oleic acid, eicosenoic acid, and palmitoleic acid, during middle-to-late pregnancy. These findings suggest that MVPA represents a potentially modifiable factor for plasma individual MUFA levels during pregnancy.
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- 2022
21. Whole genome sequence analysis of blood lipid levels in >66,000 individuals
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Selvaraj, Margaret Sunitha, Li, Xihao, Li, Zilin, Pampana, Akhil, Zhang, David Y, Park, Joseph, Aslibekyan, Stella, Bis, Joshua C, Brody, Jennifer A, Cade, Brian E, Chuang, Lee-Ming, Chung, Ren-Hua, Curran, Joanne E, de las Fuentes, Lisa, de Vries, Paul S, Duggirala, Ravindranath, Freedman, Barry I, Graff, Mariaelisa, Guo, Xiuqing, Heard-Costa, Nancy, Hidalgo, Bertha, Hwu, Chii-Min, Irvin, Marguerite R, Kelly, Tanika N, Kral, Brian G, Lange, Leslie, Li, Xiaohui, Lisa, Martin, Lubitz, Steven A, Manichaikul, Ani W, Michael, Preuss, Montasser, May E, Morrison, Alanna C, Naseri, Take, O’Connell, Jeffrey R, Palmer, Nicholette D, Peyser, Patricia A, Reupena, Muagututia S, Smith, Jennifer A, Sun, Xiao, Taylor, Kent D, Tracy, Russell P, Tsai, Michael Y, Wang, Zhe, Wang, Yuxuan, Bao, Wei, Wilkins, John T, Yanek, Lisa R, Zhao, Wei, Arnett, Donna K, Blangero, John, Boerwinkle, Eric, Bowden, Donald W, Chen, Yii-Der Ida, Correa, Adolfo, Cupples, L Adrienne, Dutcher, Susan K, Ellinor, Patrick T, Fornage, Myriam, Gabriel, Stacey, Germer, Soren, Gibbs, Richard, He, Jiang, Kaplan, Robert C, Kardia, Sharon LR, Kim, Ryan, Kooperberg, Charles, Loos, Ruth JF, Viaud-Martinez, Karine A, Mathias, Rasika A, McGarvey, Stephen T, Mitchell, Braxton D, Nickerson, Deborah, North, Kari E, Psaty, Bruce M, Redline, Susan, Reiner, Alexander P, Vasan, Ramachandran S, Rich, Stephen S, Willer, Cristen, Rotter, Jerome I, Rader, Daniel J, Lin, Xihong, Peloso, Gina M, and Natarajan, Pradeep
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Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Epidemiology ,Health Sciences ,Biotechnology ,Heart Disease - Coronary Heart Disease ,Cardiovascular ,Heart Disease ,Human Genome ,Aetiology ,2.1 Biological and endogenous factors ,Good Health and Well Being ,Alleles ,Cholesterol ,LDL ,Genome-Wide Association Study ,Humans ,Lipids ,Whole Genome Sequencing ,NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium - Abstract
Blood lipids are heritable modifiable causal factors for coronary artery disease. Despite well-described monogenic and polygenic bases of dyslipidemia, limitations remain in discovery of lipid-associated alleles using whole genome sequencing (WGS), partly due to limited sample sizes, ancestral diversity, and interpretation of clinical significance. Among 66,329 ancestrally diverse (56% non-European) participants, we associate 428M variants from deep-coverage WGS with lipid levels; ~400M variants were not assessed in prior lipids genetic analyses. We find multiple lipid-related genes strongly associated with blood lipids through analysis of common and rare coding variants. We discover several associated rare non-coding variants, largely at Mendelian lipid genes. Notably, we observe rare LDLR intronic variants associated with markedly increased LDL-C, similar to rare LDLR exonic variants. In conclusion, we conducted a systematic whole genome scan for blood lipids expanding the alleles linked to lipids for multiple ancestries and characterize a clinically-relevant rare non-coding variant model for lipids.
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- 2022
22. Omega-3 Polyunsaturated Fatty Acids are not associated with Peripheral Artery Disease in a Meta-Analysis from the Multi-Ethnic Study of Atherosclerosis and Atherosclerosis Risk in Communities Study Cohorts
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Weir, Natalie L, Nomura, Sarah O, Guan, Weihua, Garg, Parveen K, Allison, Matthew, Misialek, Jeffrey R, Karger, Amy B, Pankow, James S, and Tsai, Michael Y
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- 2024
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23. Association Between Omega‐3 Fatty Acid Levels and Risk for Incident Major Bleeding Events and Atrial Fibrillation: MESA
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Kapoor, Karan, Alfaddagh, Abdulhamied, Rifai, Mahmoud Al, Bhatt, Deepak L, Budoff, Matthew J, Nasir, Khurram, Miller, Michael, Welty, Francine K, McEvoy, J William, Dardari, Zeina, Shapiro, Michael D, Blumenthal, Roger S, Tsai, Michael Y, and Blaha, Michael J
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Aging ,Cardiovascular ,Heart Disease ,Nutrition ,Prevention ,Clinical Research ,Atherosclerosis ,Aged ,Aged ,80 and over ,Atrial Fibrillation ,Biomarkers ,Ethnicity ,Fatty Acids ,Omega-3 ,Female ,Follow-Up Studies ,Hemorrhage ,Humans ,Incidence ,Male ,Middle Aged ,Prospective Studies ,United States ,arrhythmia ,atrial fibrillation ,bleeding ,docosahexaenoic acid ,eicosapentaenoic acid ,omega-3 ,omega‐3 ,Cardiorespiratory Medicine and Haematology ,Cardiovascular medicine and haematology - Abstract
Background Randomized trials of pharmacologic strength omega-3 fatty acid (n3-FA)-based therapies suggest a dose-dependent cardiovascular benefit. Whether blood n3-FA levels also mediate safety signals observed in these trials, such as increased bleeding and atrial fibrillation (AF), remains uncertain. We hypothesized that higher baseline n3-FA levels would be associated with incident bleeding and AF events in MESA (Multi-Ethnic Study of Atherosclerosis), which included a population free of clinical cardiovascular disease at baseline. Methods and Results We examined the association between baseline plasma n3-FA levels (expressed as percent mass of total fatty acid) with incident bleeding and AF in MESA, an ongoing prospective cohort study. Bleeding events were identified from review of hospitalization International Classification of Diseases, Ninth Revision (ICD-9), and International Classification of Diseases, Tenth Revision (ICD-10), codes, and AF from participant report, discharge diagnoses, Medicare claims data, and study ECGs performed at MESA visit 5. Separate multivariable Cox proportional hazard modeling was used to estimate hazard ratios of the association of continuous n3-FA (log eicosapentaenoic acid [EPA], log docosahexaenoic acid [DHA], log [EPA+DHA]) and incident hospitalized bleeding events and AF. Among 6546 participants, the mean age was 62.1 years and 53% were women. For incident bleeding, consistent statistically significant associations with lower rates were seen with increasing levels of EPA and EPA+DHA in unadjusted and adjusted models including medications that modulate bleeding risk (aspirin, NSAIDS, corticosteroids, and proton pump inhibitors). For incident AF, a significant association with lower rates was seen with increasing levels of DHA, but not for EPA or EPA+DHA. Conclusions In MESA, higher plasma levels of n3-FA (EPA and EPA+DHA, but not DHA) were associated with significantly fewer hospitalized bleeding events, and higher DHA levels (but not EPA or EPA+DHA) with fewer incident AF events.
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- 2021
24. Chromosome Xq23 is associated with lower atherogenic lipid concentrations and favorable cardiometabolic indices.
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Natarajan, Pradeep, Pampana, Akhil, Graham, Sarah E, Ruotsalainen, Sanni E, Perry, James A, de Vries, Paul S, Broome, Jai G, Pirruccello, James P, Honigberg, Michael C, Aragam, Krishna, Wolford, Brooke, Brody, Jennifer A, Antonacci-Fulton, Lucinda, Arden, Moscati, Aslibekyan, Stella, Assimes, Themistocles L, Ballantyne, Christie M, Bielak, Lawrence F, Bis, Joshua C, Cade, Brian E, Do, Ron, Doddapaneni, Harsha, Emery, Leslie S, Hung, Yi-Jen, Irvin, Marguerite R, Khan, Alyna T, Lange, Leslie, Lee, Jiwon, Lemaitre, Rozenn N, Martin, Lisa W, Metcalf, Ginger, Montasser, May E, Moon, Jee-Young, Muzny, Donna, O'Connell, Jeffrey R, Palmer, Nicholette D, Peralta, Juan M, Peyser, Patricia A, Stilp, Adrienne M, Tsai, Michael, Wang, Fei Fei, Weeks, Daniel E, Yanek, Lisa R, Wilson, James G, Abecasis, Goncalo, Arnett, Donna K, Becker, Lewis C, Blangero, John, Boerwinkle, Eric, Bowden, Donald W, Chang, Yi-Cheng, Chen, Yii-Der I, Choi, Won Jung, Correa, Adolfo, Curran, Joanne E, Daly, Mark J, Dutcher, Susan K, Ellinor, Patrick T, Fornage, Myriam, Freedman, Barry I, Gabriel, Stacey, Germer, Soren, Gibbs, Richard A, He, Jiang, Hveem, Kristian, Jarvik, Gail P, Kaplan, Robert C, Kardia, Sharon LR, Kenny, Eimear, Kim, Ryan W, Kooperberg, Charles, Laurie, Cathy C, Lee, Seonwook, Lloyd-Jones, Don M, Loos, Ruth JF, Lubitz, Steven A, Mathias, Rasika A, Martinez, Karine A Viaud, McGarvey, Stephen T, Mitchell, Braxton D, Nickerson, Deborah A, North, Kari E, Palotie, Aarno, Park, Cheol Joo, Psaty, Bruce M, Rao, DC, Redline, Susan, Reiner, Alexander P, Seo, Daekwan, Seo, Jeong-Sun, Smith, Albert V, Tracy, Russell P, Vasan, Ramachandran S, Kathiresan, Sekar, Cupples, L Adrienne, Rotter, Jerome I, Morrison, Alanna C, Rich, Stephen S, Ripatti, Samuli, and Willer, Cristen
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NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium ,FinnGen ,Subcutaneous Tissue ,Chromosomes ,Human ,X ,Humans ,Genetic Predisposition to Disease ,Lipids ,Eye Proteins ,Nerve Tissue Proteins ,Gene Expression Regulation ,Genotype ,Polymorphism ,Single Nucleotide ,Middle Aged ,Female ,Male ,Genetic Loci ,Genetic Association Studies ,Whole Genome Sequencing ,Phenomics ,Cardiometabolic Risk Factors ,Chromosomes ,Human ,X ,Polymorphism ,Single Nucleotide - Abstract
Autosomal genetic analyses of blood lipids have yielded key insights for coronary heart disease (CHD). However, X chromosome genetic variation is understudied for blood lipids in large sample sizes. We now analyze genetic and blood lipid data in a high-coverage whole X chromosome sequencing study of 65,322 multi-ancestry participants and perform replication among 456,893 European participants. Common alleles on chromosome Xq23 are strongly associated with reduced total cholesterol, LDL cholesterol, and triglycerides (min P = 8.5 × 10-72), with similar effects for males and females. Chromosome Xq23 lipid-lowering alleles are associated with reduced odds for CHD among 42,545 cases and 591,247 controls (P = 1.7 × 10-4), and reduced odds for diabetes mellitus type 2 among 54,095 cases and 573,885 controls (P = 1.4 × 10-5). Although we observe an association with increased BMI, waist-to-hip ratio adjusted for BMI is reduced, bioimpedance analyses indicate increased gluteofemoral fat, and abdominal MRI analyses indicate reduced visceral adiposity. Co-localization analyses strongly correlate increased CHRDL1 gene expression, particularly in adipose tissue, with reduced concentrations of blood lipids.
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- 2021
25. Plasma lipidomics profile in pregnancy and gestational diabetes risk: a prospective study in a multiracial/ethnic cohort
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Rahman, Mohammad L, Feng, Yen-Chen A, Fiehn, Oliver, Albert, Paul S, Tsai, Michael Y, Zhu, Yeyi, Wang, Xiaobin, Tekola-Ayele, Fasil, Liang, Liming, and Zhang, Cuilin
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Medical Biochemistry and Metabolomics ,Reproductive Medicine ,Biomedical and Clinical Sciences ,Prevention ,Perinatal Period - Conditions Originating in Perinatal Period ,Pediatric ,Clinical Research ,Diabetes ,Metabolic and endocrine ,Reproductive health and childbirth ,Blood Glucose ,Child ,Diabetes ,Gestational ,Female ,Humans ,Lipidomics ,Pregnancy ,Prospective Studies ,Risk Factors ,diabetes ,gestational ,lipids ,metabolism ,pregnancy ,Clinical Sciences ,Clinical sciences ,Public health - Abstract
IntroductionDisruption of lipid metabolism is implicated in gestational diabetes (GDM). However, prospective studies on lipidomics and GDM risk in race/ethnically diverse populations are sparse. Here, we aimed to (1) identify lipid networks in early pregnancy to mid-pregnancy that are associated with subsequent GDM risk and (2) examine the associations of lipid networks with glycemic biomarkers to understand the underlying mechanisms.Research design and methodsThis study included 107 GDM cases confirmed using the Carpenter and Coustan criteria and 214 non-GDM matched controls from the National Institute of Child Health and Human Development Fetal Growth Studies-Singleton cohort, untargeted lipidomics data of 420 metabolites (328 annotated and 92 unannotated), and information on glycemic biomarkers in maternal plasma at visit 0 (10-14 weeks) and visit 1 (15-26 weeks). We constructed lipid networks using weighted correlation network analysis technique. We examined prospective associations of lipid networks and individual lipids with GDM risk using linear mixed effect models. Furthermore, we calculated Pearson's partial correlation for GDM-related lipid networks and individual lipids with plasma glucose, insulin, C-peptide and glycated hemoglobin at both study visits.ResultsLipid networks primarily characterized by elevated plasma diglycerides and short, saturated/low unsaturated triglycerides and lower plasma cholesteryl esters, sphingomyelins and phosphatidylcholines were associated with higher risk of developing GDM (false discovery rate (FDR)
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- 2021
26. Lipoprotein (a) and coronary artery calcification: prospective study assessing interactions with other risk factors
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Ong, Kwok Leung, McClelland, Robyn L, Allison, Matthew A, Cushman, Mary, Garg, Parveen K, Tsai, Michael Y, Rye, Kerry-Anne, and Tabet, Fatiha
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Biomedical and Clinical Sciences ,Clinical Sciences ,Prevention ,Heart Disease ,Atherosclerosis ,Cardiovascular ,Clinical Research ,Heart Disease - Coronary Heart Disease ,Good Health and Well Being ,Aged ,Aged ,80 and over ,Biomarkers ,Case-Control Studies ,Coronary Artery Disease ,Coronary Vessels ,Female ,Humans ,Lipoprotein(a) ,Male ,Middle Aged ,Prospective Studies ,Risk Factors ,United States ,Vascular Calcification ,Blood coagulation ,Coronary artery calcification ,Inflammation ,Lipoprotein ,Multi-Ethnic Study of Atherosclerosis ,Endocrinology & Metabolism ,Clinical sciences - Abstract
BackgroundElevated plasma lipoprotein (a) [Lp(a)] and coronary artery calcification (CAC) are established cardiovascular risk factors that correlate with each other. We hypothesized that other cardiovascular risk factors could affect their relationship.MethodsWe tested for interactions of 24 study variables related to dyslipidemia, diabetes, insulin resistance, hypertension, inflammation and coagulation with baseline Lp(a) on change in CAC volume and density over 9.5 years in 5975 Multi-Ethnic Study of Atherosclerosis (MESA) participants, free of apparent cardiovascular disease at baseline.ResultsElevated Lp(a) was associated with larger absolute increase in CAC volume (3.21 and 4.45 mm3/year higher for Lp(a) ≥30 versus
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- 2021
27. Lipoprotein (a) and risk for calcification of the coronary arteries, mitral valve, and thoracic aorta: The Multi-Ethnic Study of Atherosclerosis
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Garg, Parveen K, Guan, Weihua, Karger, Amy B, Steffen, Brian T, Budoff, Matthew, and Tsai, Michael Y
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Cardiovascular ,Atherosclerosis ,Prevention ,Heart Disease - Coronary Heart Disease ,Aging ,Heart Disease ,Aged ,Aged ,80 and over ,Aorta ,Thoracic ,Aortic Diseases ,Biomarkers ,Calcinosis ,Coronary Artery Disease ,Cross-Sectional Studies ,Female ,Heart Valve Diseases ,Humans ,Incidence ,Lipoprotein(a) ,Male ,Middle Aged ,Mitral Valve ,Prevalence ,Prognosis ,Prospective Studies ,Risk Assessment ,Risk Factors ,Time Factors ,United States ,Vascular Calcification ,Cardiorespiratory Medicine and Haematology ,Clinical Sciences ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology ,Clinical sciences ,Applied computing - Abstract
BackgroundLipoprotein (a) [Lp(a)] is a risk factor for coronary heart disease and calcific aortic valve disease. We determined the relationships of Lp(a) with prevalence and progression of coronary artery calcification (CAC), mitral annular calcification (MAC), and thoracic aortic calcification (TAC) in a multi-ethnic cohort of middle to older-aged adults.MethodsThis analysis included 6705 Multi-Ethnic Study of Atherosclerosis participants. Lp(a) was measured with a turbidimetric immunoassay. CAC, MAC, and TAC were assessed by cardiac computed tomography both at baseline and once during follow-up.ResultsIn adjusted relative risk regression cross-sectional analysis, a Lp(a) level ≥50 mg/dL was associated with a 22% higher prevalence of MAC (relative risk (RR) = 1.22, 95% confidence interval (CI) 1.00, 1.49). No significant associations were observed for prevalent CAC or TAC. In adjusted prospective analyses, participants with Lp(a) ≥50 mg/dL were at significantly higher risk for rapid CAC progression (median follow-up = 8.9 years), defined as ≥100 units/year, compared to those with lower Lp(a) levels (RR = 1.67, 95% CI = 1.23, 2.27). The association between higher Lp(a) levels and incident CHD was no longer significant after adjusting for CAC progression. No significant associations were observed for MAC or TAC progression (median follow-up = 2.6 years).ConclusionsHigher Lp(a) levels are associated with more rapid CAC progression. Additional study is needed to better understand how this relationship can further improve the ability of Lp(a) to enhance cardiovascular disease risk prediction.
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- 2021
28. Role of Polyunsaturated Fat in Modifying Cardiovascular Risk Associated With Family History of Cardiovascular Disease: Pooled De Novo Results From 15 Observational Studies
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Laguzzi, Federica, Åkesson, Agneta, Marklund, Matti, Qian, Frank, Gigante, Bruna, Bartz, Traci M., Bassett, Julie K., Birukov, Anna, Campos, Hannia, Hirakawa, Yoichiro, Imamura, Fumiaki, Jäger, Susanne, Lankinen, Maria, Murphy, Rachel A., Senn, Mackenzie, Tanaka, Toshiko, Tintle, Nathan, Virtanen, Jyrki K., Yamagishi, Kazumasa, Allison, Matthew, Brouwer, Ingeborg A., De Faire, Ulf, Eiriksdottir, Gudny., Ferrucci, Luigi, Forouhi, Nita G., Geleijnse, Johanna M., Hodge, Allison M, Kimura, Hitomi, Laakso, Markku, Risérus, Ulf, van Westing, Anniek C., Bandinelli, Stefania, Baylin, Ana, Giles, Graham G., Gudnason, Vilmundur, Iso, Hiroyasu, Lemaitre, Rozenn N., Ninomiya, Toshiharu, Post, Wendy S., Psaty, Bruce M., Salonen, Jukka T., Schulze, Matthias B., Tsai, Michael Y., Uusitupa, Matti, Wareham, Nicholas J., Oh, Seung-Won, Wood, Alexis C., Harris, William S., Siscovick, David, Mozaffarian, Dariush, and Leander, Karin
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- 2024
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29. Omega-3 Blood Levels and Stroke Risk: A Pooled and Harmonized Analysis of 183 291 Participants From 29 Prospective Studies
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O’Keefe, James H., Tintle, Nathan L., Harris, William S., O’Keefe, Evan L., Sala-Vila, Aleix, Attia, John, Garg, G. Manohar, Hure, Alexis, Bork, Christian Sørensen, Schmidt, Erik Berg, Venø, Stine Krogh, Chien, Kuo-Liong, Chen, Yun-Yu (Amelia), Egert, Sarah, Feldreich, Tobias Rudholm, Ärnlöv, Johan, Lind, Lars, Forouhi, Nita G., Geleijnse, Johanna M., Pertiwi, Kamalita, Imamura, Fumiaki, de Mello Laaksonen, Vanessa, Uusitupa, W. Matti, Tuomilehto, Jaakko, Laakso, Markku, Lankinen, Maria Anneli, Laurin, Danielle, Carmichael, Pierre-Hugues, Lindsay, Joan, Leander, Karin, Laguzzi, Federica, Swenson, Brenton R., Longstreth, William T., Manson, JoAnn E., Mora, Samia, Cook, Nancy R., Marklund, Matti, Melo van Lent, Debora, Murphy, Rachel, Gudnason, Vilmundur, Ninomiya, Toshihara, Hirakawa, Yoichiro, Qian, Frank, Sun, Qi, Hu, Frank, Ardisson Korat, Andres V., Risérus, Ulf, Lázaro, Iolanda, Samieri, Cecilia, Le Goff, Mélanie, Helmer, Catherine, Steur, Marinka, Voortman, Trudy, Ikram, M. Kamran, Tanaka, Toshiko, Das, Jayanta K., Ferrucci, Luigi, Bandinelli, Stefania, Tsai, Michael, Guan, Weihua, Garg, Parveen, Verschuren, W.M. Monique, Boer, Jolanda M.A., Biokstra, Anneke, Virtanen, Jyrki, Wagner, Michael, Westra, Jason, Albuisson, Luc, Yamagishi, Kazumasa, Siscovick, David S., Lemaitre, Rozenn N., and Mozaffarian, Dariush
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- 2024
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30. n–6 fatty acid biomarkers and incident atrial fibrillation: an individual participant-level pooled analysis of 11 international prospective studies
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Garg, Parveen K., Guan, Weihua, Nomura, Sarah, Weir, Natalie L., Tintle, Nathan, Virtanen, Jyrki K., Hirakawa, Yoichiro, Qian, Frank, Sun, Qi, Rimm, Eric, Lemaitre, Rozenn N., Jensen, Paul N., Heckbert, Susan R., Imamura, Fumiaki, Steur, Marinka, Leander, Karin, Laguzzi, Federica, Voortman, Trudy, Ninomiya, Toshiharu, Mozaffarian, Dariush, Harris, William S., Siscovick, David S., and Tsai, Michael Y.
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- 2023
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31. Epigenome-wide DNA methylation association study of circulating IgE levels identifies novel targets for asthma
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Abe, Namiko, Abecasis, Gonçalo, Aguet, Francois, Albert, Christine, Almasy, Laura, Alonso, Alvaro, Ament, Seth, Anderson, Peter, Anugu, Pramod, Applebaum-Bowden, Deborah, Ardlie, Kristin, Arking, Dan, Arnett, Donna K., Ashley-Koch, Allison, Aslibekyan, Stella, Assimes, Tim, Auer, Paul, Avramopoulos, Dimitrios, Ayas, Najib, Balasubramanian, Adithya, Barnard, John, Barnes, Kathleen, Barr, R. Graham, Barron-Casella, Emily, Barwick, Lucas, Beaty, Terri, Beck, Gerald, Becker, Diane, Becker, Lewis, Beer, Rebecca, Beitelshees, Amber, Benjamin, Emelia, Benos, Takis, Bezerra, Marcos, Bielak, Larry, Bis, Joshua, Blackwell, Thomas, Blangero, John, Blue, Nathan, Boerwinkle, Eric, Bowden, Donald W., Bowler, Russell, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Brown, Deborah, Bunting, Karen, Burchard, Esteban, Bustamante, Carlos, Buth, Erin, Cade, Brian, Cardwell, Jonathan, Carey, Vincent, Carrier, Julie, Carson, April P., Carty, Cara, Casaburi, Richard, Casas Romero, Juan P., Casella, James, Castaldi, Peter, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chasman, Daniel, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Ida Chen, Yii-Der, Cho, Michael, Choi, Seung Hoan, Chuang, Lee-Ming, Chung, Mina, Chung, Ren-Hua, Clish, Clary, Comhair, Suzy, Conomos, Matthew, Cornell, Elaine, Correa, Adolfo, Crandall, Carolyn, Crapo, James, Cupples, L. Adrienne, Curran, Joanne, Curtis, Jeffrey, Custer, Brian, Damcott, Coleen, Darbar, Dawood, David, Sean, Davis, Colleen, Daya, Michelle, de Andrade, Mariza, de las Fuentes, Lisa, de Vries, Paul, DeBaun, Michael, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Dugan-Perez, Shannon, Duggirala, Ravi, Durda, Jon Peter, Dutcher, Susan K., Eaton, Charles, Ekunwe, Lynette, El Boueiz, Adel, Ellinor, Patrick, Emery, Leslie, Erzurum, Serpil, Farber, Charles, Farek, Jesse, Fingerlin, Tasha, Flickinger, Matthew, Fornage, Myriam, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gabriel, Stacey, Gan, Weiniu, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Gelb, Bruce, Geraci, Mark, Germer, Soren, Gerszten, Robert, Ghosh, Auyon, Gibbs, Richard, Gignoux, Chris, Gladwin, Mark, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Graw, Sharon, Gray, Kathryn J., Grine, Daniel, Gross, Colin, Gu, C. Charles, Guan, Yue, Guo, Xiuqing, Gupta, Namrata, Haessler, Jeff, Hall, Michael, Han, Yi, Hanly, Patrick, Harris, Daniel, Hawley, Nicola L., He, Jiang, Heavner, Ben, Heckbert, Susan, Hernandez, Ryan, Herrington, David, Hersh, Craig, Hidalgo, Bertha, Hixson, James, Hobbs, Brian, Hokanson, John, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Irvin, Marguerite Ryan, Jackson, Rebecca, Jain, Deepti, Jaquish, Cashell, Johnsen, Jill, Johnson, Andrew, Johnson, Craig, Johnston, Rich, Jones, Kimberly, Kang, Hyun Min, Kaplan, Robert, Kardia, Sharon, Kelly, Shannon, Kenny, Eimear, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Konkle, Barbara, Kooperberg, Charles, Kramer, Holly, Lange, Christoph, Lange, Ethan, Lange, Leslie, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Jiwon, Lee, Sandra, Lee, Wen-Jane, LeFaive, Jonathon, Levine, David, Levy, Daniel, Lewis, Joshua, Li, Xiaohui, Li, Yun, Lin, Henry, Lin, Honghuang, Lin, Xihong, Liu, Simin, Liu, Yongmei, Liu, Yu, Loos, Ruth J.F., Lubitz, Steven, Lunetta, Kathryn, Luo, James, Magalang, Ulysses, Mahaney, Michael, Make, Barry, Manichaikul, Ani, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, Mathias, Rasika, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGarvey, Stephen, McGoldrick, Daniel, McHugh, Caitlin, McNeil, Becky, Mei, Hao, Meigs, James, Menon, Vipin, Mestroni, Luisa, Metcalf, Ginger, Meyers, Deborah A., Mignot, Emmanuel, Mikulla, Julie, Min, Nancy, Minear, Mollie, Minster, Ryan L., Mitchell, Braxton D., Moll, Matt, Momin, Zeineen, Montasser, May E., Montgomery, Courtney, Muzny, Donna, Mychaleckyj, Josyf C., Nadkarni, Girish, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nekhai, Sergei, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nickerson, Deborah, Nkechinyere, Osuji, North, Kari, O'Connell, Jeff, O'Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Pack, Allan, Paik, David T., Palmer, Nicholette, Pankow, James, Papanicolaou, George, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Peyser, Patricia, Phillips, Lawrence S., Pleiness, Jacob, Pollin, Toni, Post, Wendy, Powers Becker, Julia, Preethi Boorgula, Meher, Preuss, Michael, Psaty, Bruce, Qasba, Pankaj, Qiao, Dandi, Qin, Zhaohui, Rafaels, Nicholas, Raffield, Laura, Rajendran, Mahitha, Ramachandran, Vasan S., Rao, D.C., Rasmussen-Torvik, Laura, Ratan, Aakrosh, Redline, Susan, Reed, Robert, Reeves, Catherine, Regan, Elizabeth, Reiner, Alex, Reupena, Muagututi‘a Sefuiva, Rice, Ken, Rich, Stephen, Robillard, Rebecca, Robine, Nicolas, Roden, Dan, Roselli, Carolina, Rotter, Jerome, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ruuska, Sarah, Ryan, Kathleen, Sabino, Ester Cerdeira, Saleheen, Danish, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Sankaran, Vijay G., Santibanez, Jireh, Schwander, Karen, Schwartz, David, Sciurba, Frank, Seidman, Christine, Seidman, Jonathan, Sériès, Frédéric, Sheehan, Vivien, Sherman, Stephanie L., Shetty, Amol, Shetty, Aniket, Sheu, Wayne Hui-Heng, Shoemaker, M. Benjamin, Silver, Brian, Silverman, Edwin, Skomro, Robert, Smith, Albert Vernon, Smith, Jennifer, Smith, Josh, Smith, Nicholas, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Snyder, Michael, Sofer, Tamar, Sotoodehnia, Nona, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taliun, Daniel, Tang, Hua, Taub, Margaret, Taylor, Kent, Taylor, Matthew, Taylor, Simeon, Telen, Marilyn, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tishkoff, Sarah, Tiwari, Hemant, Tong, Catherine, Tracy, Russell, Tsai, Michael, Vaidya, Dhananjay, Van Den Berg, David, VandeHaar, Peter, Vrieze, Scott, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Wang, Jiongming, Watson, Karol, Watt, Jennifer, Weeks, Daniel E., Weinstock, Joshua, Weir, Bruce, Weiss, Scott T., Weng, Lu-Chen, Wessel, Jennifer, Willer, Cristen, Williams, Kayleen, Williams, L. Keoki, Williams, Scott, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Baojun, Wu, Joseph, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Yu, Ketian, Zekavat, Seyedeh Maryam, Zhang, Yingze, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng, Ziv, Elad, Zody, Michael, Zoellner, Sebastian, Recto, Kathryn, Kachroo, Priyadarshini, Huan, Tianxiao, Lee, Gha Young, Bui, Helena, Lee, Dong Heon, Gereige, Jessica, Yao, Chen, Hwang, Shih-Jen, Joehanes, Roby, O’Connor, George T., and DeMeo, Dawn L.
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- 2023
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32. Lipoprotein(a) and the pooled cohort equations for ASCVD risk prediction: The Multi-Ethnic Study of Atherosclerosis
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Bhatia, Harpreet S., Rikhi, Rishi, Allen, Tara S., Yeang, Calvin, Guan, Weihua, Garg, Parveen K., Tsai, Michael Y., Criqui, Michael H., Shapiro, Michael D., and Tsimikas, Sotirios
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- 2023
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33. Genome-Wide Association Study Highlights APOH as a Novel Locus for Lipoprotein(a) Levels—Brief Report
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Hoekstra, Mary, Chen, Hao Yu, Rong, Jian, Dufresne, Line, Yao, Jie, Guo, Xiuqing, Tsai, Michael Y, Tsimikas, Sotirios, Post, Wendy S, Vasan, Ramachandran S, Rotter, Jerome I, Larson, Martin G, Thanassoulis, George, and Engert, James C
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Clinical Sciences ,Atherosclerosis ,Human Genome ,Genetics ,2.1 Biological and endogenous factors ,Aetiology ,Aged ,Aged ,80 and over ,Biomarkers ,Cardiovascular Diseases ,Female ,Genetic Loci ,Genetic Predisposition to Disease ,Genetic Variation ,Genome-Wide Association Study ,Heart Disease Risk Factors ,Humans ,Lipoprotein(a) ,Male ,Middle Aged ,Phenotype ,Risk Assessment ,beta 2-Glycoprotein I ,atherosclerosis ,cardiovascular diseases ,genome-wide association study ,lipoprotein(a) ,risk factors ,Cardiorespiratory Medicine and Haematology ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
ObjectiveLp(a) (lipoprotein[a]) is an independent risk factor for cardiovascular diseases and plasma levels are primarily determined by variation at the LPA locus. We performed a genome-wide association study in the UK Biobank to determine whether additional loci influence Lp(a) levels. Approach and Results: We included 293 274 White British individuals in the discovery analysis. Approximately 93 095 623 variants were tested for association with natural log-transformed Lp(a) levels using linear regression models adjusted for age, sex, genotype batch, and 20 principal components of genetic ancestry. After quality control, 131 independent variants were associated at genome-wide significance (P≤5×10-8). In addition to validating previous associations at LPA, APOE, and CETP, we identified a novel variant at the APOH locus, encoding β2GPI (beta2-glycoprotein I). The APOH variant rs8178824 was associated with increased Lp(a) levels (β [95% CI] [ln nmol/L], 0.064 [0.047-0.081]; P=2.8×10-13) and demonstrated a stronger effect after adjustment for variation at the LPA locus (β [95% CI] [ln nmol/L], 0.089 [0.076-0.10]; P=3.8×10-42). This association was replicated in a meta-analysis of 5465 European-ancestry individuals from the Framingham Offspring Study and Multi-Ethnic Study of Atherosclerosis (β [95% CI] [ln mg/dL], 0.16 [0.044-0.28]; P=0.0071).ConclusionsIn a large-scale genome-wide association study of Lp(a) levels, we identified APOH as a novel locus for Lp(a) in individuals of European ancestry. Additional studies are needed to determine the precise role of β2GPI in influencing Lp(a) levels as well as its potential as a therapeutic target.
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- 2021
34. Inflammation, metabolic dysregulation and environmental neurotoxins and risk of cognitive decline and impairment in midlife
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Schubert, Carla R., Fischer, Mary E., Pinto, A. Alex, Paulsen, Adam J., Chen, Yanjun, Huang, Guan-Hua, Klein, Barbara E. K., Tsai, Michael Y., Merten, Natascha, and Cruickshanks, Karen J.
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- 2023
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35. Associations of plasma omega-3 and omega-6 pufa levels with arterial elasticity: the multi-ethnic study of atherosclerosis
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Garg, Parveen K., Guan, Weihua, Nomura, Sarah, Weir, Natalie L., Karger, Amy B., Duprez, Daniel, and Tsai, Michael Y.
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- 2022
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36. Omega-3 Fatty Acid Biomarkers and Incident Atrial Fibrillation
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Qian, Frank, Tintle, Nathan, Jensen, Paul N., Lemaitre, Rozenn N., Imamura, Fumiaki, Feldreich, Tobias Rudholm, Nomura, Sarah Oppeneer, Guan, Weihua, Laguzzi, Federica, Kim, Eunjung, Virtanen, Jyrki K., Steur, Marinka, Bork, Christian S., Hirakawa, Yoichiro, O'Donoghue, Michelle L., Sala-Vila, Aleix, Ardisson Korat, Andres V., Sun, Qi, Rimm, Eric B., Psaty, Bruce M., Heckbert, Susan R., Forouhi, Nita G., Wareham, Nicholas J., Marklund, Matti, Risérus, Ulf, Lind, Lars, Ärnlöv, Johan, Garg, Parveen, Tsai, Michael Y., Pankow, James, Misialek, Jeffrey R., Gigante, Bruna, Leander, Karin, Pester, Julie A., Albert, Christine M., Kavousi, Maryam, Ikram, Arfan, Voortman, Trudy, Schmidt, Erik B., Ninomiya, Toshiharu, Morrow, David A., Bayés-Genís, Antoni, O’Keefe, James H., Ong, Kwok Leung, Wu, Jason H.Y., Mozaffarian, Dariush, Harris, William S., and Siscovick, David S.
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- 2023
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37. Lipoprotein(a) and coronary artery calcium in comparison with other lipid biomarkers: The multi-ethnic study of atherosclerosis
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Jackson, Candace L., Garg, Parveen K., Guan, Weihua, Tsai, Michael Y., Criqui, Michael H., Tsimikas, Sotirios, and Bhatia, Harpreet S.
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- 2023
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38. Plasma Phospholipid n-3/n-6 Polyunsaturated Fatty Acids and Desaturase Activities in Relation to Moderate-to-Vigorous Physical Activity through Pregnancy: A Longitudinal Study within the NICHD Fetal Growth Studies.
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Chen, Liwei, Zhu, Yeyi, Fei, Zhe, Hinkle, Stefanie, Xia, Tong, Liu, Xinyue, Rahman, Mohammad, Li, Mengying, Wu, Jing, Weir, Natalie, Tsai, Michael, and Zhang, Cuilin
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physical activity ,polyunsaturated fatty acids (PUFAs) ,pregnant women ,Adolescent ,Adult ,Exercise ,Fatty Acid Desaturases ,Fatty Acids ,Unsaturated ,Female ,Humans ,Longitudinal Studies ,National Institute of Child Health and Human Development (U.S.) ,Phospholipids ,United States ,Young Adult - Abstract
Maternal plasma phospholipid polyunsaturated fatty acids (PUFAs) play critical roles in maternal health and fetal development. Beyond dietary factors, maternal moderate-to-vigorous physical activity (MVPA) has been linked to multiple health benefits for both the mother and offspring, but studies investigating the influence of maternal MVPA on maternal PUFA profile are scarce. The objective of present study was to examine the time-specific and prospective associations of MVPA with plasma PUFA profile among pregnant women. This study included 321 participants from the National Institute of Child Health and Human Development (NICHD) Fetal Growth Studies-Singletons cohort. Maternal plasma phospholipid PUFAs and MPVA were measured at four visits during pregnancy (10-14, 15-26, 23-31, and 33-39 gestational weeks (GW)). Associations of maternal MVPA with individual plasma PUFAs and desaturase activity were examined using generalized linear models. Maternal MVPA was associated inversely with plasma phospholipid linoleic acid, gamma-linolenic acid, and Δ6-desaturase in late pregnancy (23-31 or 33-39 GW), independent of maternal age, race, education, parity, pre-pregnancy body mass index, and dietary factors. Findings from this longitudinal study indicate that maternal habitual MVPA may play a role on PUFAs metabolism, particular by alerting plasma n-6 subclass and desaturase activity in late pregnancy. These associations are novel and merit confirmation in future studies.
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- 2020
39. Lipoprotein (a) and aortic valve calcium in South Asians compared to other race/ethnic groups
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Makshood, Minhal, Joshi, Parag H, Kanaya, Alka M, Ayers, Colby, Budoff, Matthew, Tsai, Michael Y, Blaha, Michael, Michos, Erin D, and Post, Wendy S
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Clinical Sciences ,Atherosclerosis ,Heart Disease ,Cardiovascular ,Prevention ,Aortic Valve ,Asian ,Calcium ,Hispanic or Latino ,Humans ,Lipoprotein(a) ,Prevalence ,Risk Factors ,Lipoprotein ,Aortic valve calcium ,South asians ,MASALA ,Cardiorespiratory Medicine and Haematology ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
Background and aimsSouth Asians are at increased risk for cardiovascular disease (CVD). Aortic valve calcium (AVC) is associated with CVD risk and aortic stenosis. Elevated Lp(a) is a heritable risk factor for CVD and AVC. AVC prevalence and its association with Lp(a) have not been studied in South Asians.MethodsAmong participants in the Mediators of Atherosclerosis in South Asians Living in America (MASALA) study (n = 695), AVC prevalence and extent were compared to four race/ethnic groups in the Multi-Ethnic Study of Atherosclerosis (MESA) (n = 4671). Multivariable regression was performed to evaluate associations between Lp(a) and AVC stratified by race/ethnic groups, adjusting for cardiovascular risk factors.ResultsAfter age and sex adjustment, South Asians had higher median Lp(a) (17.0 mg/dL) compared to Whites (12.9 mg/dL), Hispanics (13.1 mg/dL) and Chinese Americans (12.9 mg/dL), and Blacks had highest Lp(a) levels (35.1 mg/dL). There were no differences in the odds of AVC in South Asians compared with Whites or Hispanics, after age and sex adjustment (p = 0.64 and 0.63, respectively). Odds of AVC was lower in Chinese (OR 0.35; 95%CI 0.23-0.54) and somewhat lower in Blacks compared with South Asians (OR 0.76; 0.56-1.04). There were no associations between Lp(a) and AVC presence or extent in South Asians. Lp(a) was associated with AVC only among Blacks and Whites.ConclusionsAlthough present in Whites and Blacks, there were no associations between Lp(a) and AVC in South Asians. These differences may be due to statistic power or race specific modifying factors that influences the effect of Lp(a) particles on AVC pathogenesis.
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- 2020
40. Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale.
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Li, Xihao, Li, Zilin, Zhou, Hufeng, Gaynor, Sheila M, Liu, Yaowu, Chen, Han, Sun, Ryan, Dey, Rounak, Arnett, Donna K, Aslibekyan, Stella, Ballantyne, Christie M, Bielak, Lawrence F, Blangero, John, Boerwinkle, Eric, Bowden, Donald W, Broome, Jai G, Conomos, Matthew P, Correa, Adolfo, Cupples, L Adrienne, Curran, Joanne E, Freedman, Barry I, Guo, Xiuqing, Hindy, George, Irvin, Marguerite R, Kardia, Sharon LR, Kathiresan, Sekar, Khan, Alyna T, Kooperberg, Charles L, Laurie, Cathy C, Liu, X Shirley, Mahaney, Michael C, Manichaikul, Ani W, Martin, Lisa W, Mathias, Rasika A, McGarvey, Stephen T, Mitchell, Braxton D, Montasser, May E, Moore, Jill E, Morrison, Alanna C, O'Connell, Jeffrey R, Palmer, Nicholette D, Pampana, Akhil, Peralta, Juan M, Peyser, Patricia A, Psaty, Bruce M, Redline, Susan, Rice, Kenneth M, Rich, Stephen S, Smith, Jennifer A, Tiwari, Hemant K, Tsai, Michael Y, Vasan, Ramachandran S, Wang, Fei Fei, Weeks, Daniel E, Weng, Zhiping, Wilson, James G, Yanek, Lisa R, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Lipids Working Group, Neale, Benjamin M, Sunyaev, Shamil R, Abecasis, Gonçalo R, Rotter, Jerome I, Willer, Cristen J, Peloso, Gina M, Natarajan, Pradeep, and Lin, Xihong
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NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium ,TOPMed Lipids Working Group ,Humans ,Genetic Predisposition to Disease ,Phenotype ,Genome ,Models ,Genetic ,Computer Simulation ,Cholesterol ,LDL ,Genetic Variation ,Genome-Wide Association Study ,Molecular Sequence Annotation ,Whole Genome Sequencing ,Models ,Genetic ,Cholesterol ,LDL ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
Large-scale whole-genome sequencing studies have enabled the analysis of rare variants (RVs) associated with complex phenotypes. Commonly used RV association tests have limited scope to leverage variant functions. We propose STAAR (variant-set test for association using annotation information), a scalable and powerful RV association test method that effectively incorporates both variant categories and multiple complementary annotations using a dynamic weighting scheme. For the latter, we introduce 'annotation principal components', multidimensional summaries of in silico variant annotations. STAAR accounts for population structure and relatedness and is scalable for analyzing very large cohort and biobank whole-genome sequencing studies of continuous and dichotomous traits. We applied STAAR to identify RVs associated with four lipid traits in 12,316 discovery and 17,822 replication samples from the Trans-Omics for Precision Medicine Program. We discovered and replicated new RV associations, including disruptive missense RVs of NPC1L1 and an intergenic region near APOC1P1 associated with low-density lipoprotein cholesterol.
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- 2020
41. Publisher Correction: Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries.
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Zekavat, Seyedeh M, Ruotsalainen, Sanni, Handsaker, Robert E, Alver, Maris, Bloom, Jonathan, Poterba, Timothy, Seed, Cotton, Ernst, Jason, Chaffin, Mark, Engreitz, Jesse, Peloso, Gina M, Manichaikul, Ani, Yang, Chaojie, Ryan, Kathleen A, Fu, Mao, Johnson, W Craig, Tsai, Michael, Budoff, Matthew, Vasan, Ramachandran S, Cupples, L Adrienne, Rotter, Jerome I, Rich, Stephen S, Post, Wendy, Mitchell, Braxton D, Correa, Adolfo, Metspalu, Andres, Wilson, James G, Salomaa, Veikko, Kellis, Manolis, Daly, Mark J, Neale, Benjamin M, McCarroll, Steven, Surakka, Ida, Esko, Tonu, Ganna, Andrea, Ripatti, Samuli, Kathiresan, Sekar, Natarajan, Pradeep, and NHLBI TOPMed Lipids Working Group
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NHLBI TOPMed Lipids Working Group - Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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- 2020
42. Association Between Homocysteine and Vascular Calcification Incidence, Prevalence, and Progression in the MESA Cohort
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Karger, Amy B, Steffen, Brian T, Nomura, Sarah O, Guan, Weihua, Garg, Parveen K, Szklo, Moyses, Budoff, Matthew J, and Tsai, Michael Y
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Cardiovascular ,Atherosclerosis ,Prevention ,Heart Disease - Coronary Heart Disease ,Clinical Research ,Heart Disease ,Good Health and Well Being ,Aged ,Aged ,80 and over ,Biomarkers ,Disease Progression ,Female ,Homocysteine ,Humans ,Hyperhomocysteinemia ,Incidence ,Male ,Middle Aged ,Prevalence ,Prognosis ,Prospective Studies ,Risk Assessment ,Risk Factors ,Time Factors ,United States ,Up-Regulation ,Vascular Calcification ,calcification progression ,cardiovascular disease ,homocysteine ,vascular calcification ,Cardiorespiratory Medicine and Haematology ,Cardiovascular medicine and haematology - Abstract
Background While elevated homocysteine has been associated with calcification in several studies, its importance as a cardiovascular risk factor remains unclear. This study examines the relationship between homocysteine and vascular and valve calcification in the MESA (Multi-ethnic Study of Atherosclerosis) cohort. Methods and Results MESA participants with baseline homocysteine measurements and cardiac computed tomography scans were included (N=6789). Baseline and follow-up assessment of vascular (coronary artery [CAC], descending thoracic aorta [DTAC]) and valve (aortic valve [AVC], mitral annular [MAC]) calcification was performed. Prevalence ratio/relative risk regression was used to assess the relationship of homocysteine with prevalent and incident calcification, and multivariable logistic regression was used to assess associations between homocysteine and calcification progression. Elevated homocysteine was associated with greater relative risk of prevalent and incident CAC and incident DTAC. We also identified a strong association between elevated homocysteine and CAC and DTAC progression. Elevated homocysteine was found to confer a >2-fold increased risk of severe CAC progression (defined as ΔCAC ≥100/year) and an ≈1.5-fold increased risk for severe DTAC progression (defined as ΔDTAC ≥100/year). Conclusions To our knowledge, this is the first study demonstrating an association between elevated homocysteine and both incidence and progression of coronary and extra-coronary vascular calcification. Our findings suggest a potential role for elevated homocysteine as a risk factor for severe vascular calcification progression. Future studies are warranted to further assess the utility of homocysteine as a biomarker for vascular calcification incidence and progression. Clinical Trial Registration https://www.clinicaltrials.gov/. Unique identifier: NCT00005487.
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- 2020
43. Small dense low-density lipoprotein cholesterol compared to other lipoprotein biomarkers for predicting coronary heart disease among individuals with normal fasting glucose: The Multi-Ethnic Study of Atherosclerosis
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Nomura, Sarah O., Karger, Amy B., Garg, Parveen, Cao, Jing, Bhatia, Harpreet, Duran, Edward K., Duprez, Daniel, Guan, Weihua, and Tsai, Michael Y.
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- 2023
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44. Atherosclerotic cardiovascular disease risk and small dense low-density lipoprotein cholesterol in men, women, African Americans and non-African Americans: The pooling project
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Schaefer, Ernst J., Ikezaki, Hiroaki, Diffenderfer, Margaret R., Lim, Elise, Liu, Ching-Ti, Hoogeveen, Ron C., Guan, Weihua, Tsai, Michael Y., and Ballantyne, Christie M.
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- 2023
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45. Relationship of low-density lipoprotein-cholesterol and lipoprotein(a) to cardiovascular risk: The Multi-Ethnic Study of Atherosclerosis (MESA)
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Rikhi, Rishi, Hammoud, Aziz, Ashburn, Nicklaus, Snavely, Anna C., Michos, Erin D., Chevli, Parag, Tsai, Michael Y., Herrington, David, and Shapiro, Michael D.
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- 2022
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46. Evaluating the Potential Association Between Lipoprotein(a) and Atherosclerosis (from the Mediators of Atherosclerosis Among South Asians Living in America Cohort)
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Huffman, Mark D, Kandula, Namratha R, Baldridge, Abigail S, Tsai, Michael Y, Prabhakaran, Dorairaj, and Kanaya, Alka M
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Clinical Research ,Aging ,Prevention ,Atherosclerosis ,Heart Disease - Coronary Heart Disease ,Minority Health ,Cardiovascular ,Heart Disease ,Adult ,Aged ,Aged ,80 and over ,Asia ,Southeastern ,Asian People ,Biomarkers ,Carotid Intima-Media Thickness ,Coronary Angiography ,Coronary Artery Disease ,Coronary Vessels ,Female ,Follow-Up Studies ,Humans ,Incidence ,Lipoprotein(a) ,Male ,Middle Aged ,Prognosis ,Retrospective Studies ,Risk Assessment ,Risk Factors ,Survival Rate ,Tomography ,X-Ray Computed ,United States ,Cardiorespiratory Medicine and Haematology ,Cardiovascular System & Hematology ,Cardiovascular medicine and haematology - Abstract
We sought to report the distribution of Lp(a) levels in the Mediators of Atherosclerosis among South Asians Living in America cohort of participants who were free from clinical atherosclerotic cardiovascular disease (ASCVD) at baseline and to evaluate the cross-sectional association with atherosclerosis measured by coronary artery calcification (CAC) and carotid intima media thickness. Among 886 participants (mean [SD] age: 55.4 [9.4] years, 54% male), median lipoprotein (a) level was 17 (9, 33) mg/dl. Compared with the lowest quartile (9 mg/dl), subjects in the highest Lp(a) quartile (33 to 178 mg/dl) were more likely to be women (51% vs 37%, p
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- 2019
47. Albuminuria, Lung Function Decline, and Risk of Incident Chronic Obstructive Pulmonary Disease. The NHLBI Pooled Cohorts Study
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Oelsner, Elizabeth C, Balte, Pallavi P, Grams, Morgan E, Cassano, Patricia A, Jacobs, David R, Barr, R Graham, Burkart, Kristin M, Kalhan, Ravi, Kronmal, Richard, Loehr, Laura R, O'Connor, George T, Schwartz, Joseph E, Shlipak, Michael, Tracy, Russell P, Tsai, Michael Y, White, Wendy, and Yende, Sachin
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Clinical Sciences ,Lung ,Chronic Obstructive Pulmonary Disease ,Prevention ,Asthma ,Clinical Research ,Cardiovascular ,Respiratory ,Good Health and Well Being ,Aged ,Albuminuria ,Cohort Studies ,Comorbidity ,Female ,Humans ,Incidence ,Male ,Middle Aged ,National Heart ,Lung ,and Blood Institute (U.S.) ,Pulmonary Disease ,Chronic Obstructive ,Respiratory Function Tests ,Risk Factors ,United States ,epidemiology ,spirometry ,asthma ,Medical and Health Sciences ,Respiratory System ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
RationaleChronic lower respiratory diseases (CLRDs), including chronic obstructive pulmonary disease (COPD) and asthma, are the fourth leading cause of death. Prior studies suggest that albuminuria, a biomarker of endothelial injury, is increased in patients with COPD.ObjectivesTo test whether albuminuria was associated with lung function decline and incident CLRDs.MethodsSix U.S. population-based cohorts were harmonized and pooled. Participants with prevalent clinical lung disease were excluded. Albuminuria (urine albumin-to-creatinine ratio) was measured in spot samples. Lung function was assessed by spirometry. Incident CLRD-related hospitalizations and deaths were classified via adjudication and/or administrative criteria. Mixed and proportional hazards models were used to test individual-level associations adjusted for age, height, weight, sex, race/ethnicity, education, birth year, cohort, smoking status, pack-years of smoking, renal function, hypertension, diabetes, and medications.Measurements and main resultsAmong 10,961 participants with preserved lung function, mean age at albuminuria measurement was 60 years, 51% were never-smokers, median albuminuria was 5.6 mg/g, and mean FEV1 decline was 31.5 ml/yr. For each SD increase in log-transformed albuminuria, there was 2.81% greater FEV1 decline (95% confidence interval [CI], 0.86-4.76%; P = 0.0047), 11.02% greater FEV1/FVC decline (95% CI, 4.43-17.62%; P = 0.0011), and 15% increased hazard of incident spirometry-defined moderate-to-severe COPD (95% CI, 2-31%, P = 0.0021). Each SD log-transformed albuminuria increased hazards of incident COPD-related hospitalization/mortality by 26% (95% CI, 18-34%, P
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- 2019
48. OMEGA-3 FATTY ACIDS ARE ASSOCIATED WITH DECREASED PRESENCE AND SEVERITY OF DIABETIC RETINOPATHY: A Combined Analysis of MESA and GOLDR Cohorts
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Weir, Natalie L., Guan, Weihua, Karger, Amy B., Klein, Barbara E. K., Meuer, Stacy M., Cotch, Mary Frances, Guo, Xiuqing, Li, Xiaohui, Tan, Jingyi, Genter, Pauline, Chen, Yii-Der Ida, Rotter, Jerome I., Ipp, Eli, and Tsai, Michael Y.
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- 2023
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49. Independent Association of Lipoprotein(a) and Coronary Artery Calcification With Atherosclerotic Cardiovascular Risk
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Mehta, Anurag, Vasquez, Nestor, Ayers, Colby R., Patel, Jaideep, Hooda, Ananya, Khera, Amit, Blumenthal, Roger S., Shapiro, Michael D., Rodriguez, Carlos J., Tsai, Michael Y., Sperling, Laurence S., Virani, Salim S., Blaha, Michael J., and Joshi, Parag H.
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- 2022
- Full Text
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50. Publisher Correction: Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries.
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Zekavat, Seyedeh M, Ruotsalainen, Sanni, Handsaker, Robert E, Alver, Maris, Bloom, Jonathan, Poterba, Timothy, Seed, Cotton, Ernst, Jason, Chaffin, Mark, Engreitz, Jesse, Peloso, Gina M, Manichaikul, Ani, Yang, Chaojie, Ryan, Kathleen A, Fu, Mao, Johnson, W Craig, Tsai, Michael, Budoff, Matthew, Vasan, Ramachandran S, Cupples, L Adrienne, Rotter, Jerome I, Rich, Stephen S, Post, Wendy, Mitchell, Braxton D, Correa, Adolfo, Metspalu, Andres, Wilson, James G, Salomaa, Veikko, Kellis, Manolis, Daly, Mark J, Neale, Benjamin M, McCarroll, Steven, Surakka, Ida, Esko, Tonu, Ganna, Andrea, Ripatti, Samuli, Kathiresan, Sekar, Natarajan, Pradeep, and NHLBI TOPMed Lipids Working Group
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NHLBI TOPMed Lipids Working Group - Abstract
The original version of this article contained an error in the name of the author Ramachandran S. Vasan, which was incorrectly given as Vasan S. Ramachandran. This has now been corrected in both the PDF and HTML versions of the article.
- Published
- 2018
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