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Remaley AT. Commentary on Glycerol Kinase Deficiency with Increased Triglycerides and Weight Gain: Pseudo or Real? Clin Chem 2024; 70:707-708. [PMID: 38692655 DOI: 10.1093/clinchem/hvae033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 02/29/2024] [Indexed: 05/03/2024]
Affiliation(s)
- Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
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Kumar S, Conners KM, Shearer JJ, Joo J, Turecamo S, Sampson M, Wolska A, Remaley AT, Connelly MA, Otvos JD, Larson NB, Bielinski SJ, Roger VL. Frailty and Metabolic Vulnerability in Heart Failure: A Community Cohort Study. J Am Heart Assoc 2024; 13:e031616. [PMID: 38533960 DOI: 10.1161/jaha.123.031616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 02/23/2024] [Indexed: 03/28/2024]
Abstract
BACKGROUND Frailty is common in heart failure (HF) and is associated with death but not routinely captured clinically. Frailty is linked with inflammation and malnutrition, which can be assessed by a novel plasma multimarker score: the metabolic vulnerability index (MVX). We sought to evaluate the associations between frailty and MVX and their prognostic impact. METHODS AND RESULTS In an HF community cohort (2003-2012), we measured frailty as a proportion of deficits present out of 32 physical limitations and comorbidities, MVX by nuclear magnetic resonance spectroscopy, and collected extensive longitudinal clinical data. Patients were categorized by frailty score (≤0.14, >0.14 and ≤0.27, >0.27) and MVX score (≤50, >50 and ≤60, >60 and ≤70, >70). Cox models estimated associations of frailty and MVX with death, adjusted for Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score and NT-proBNP (N-terminal pro-B-type natriuretic peptide). Uno's C-statistic measured the incremental value of MVX beyond frailty and clinical factors. Weibull's accelerated failure time regression assessed whether MVX mediated the association between frailty and death. We studied 985 patients (median age, 77; 48% women). Frailty and MVX were weakly correlated (Spearman's ρ=0.21). The highest frailty group experienced an increased rate of death, independent of MVX, MAGGIC score, and NT-proBNP (hazard ratio, 3.3 [95% CI, 2.5-4.2]). Frailty improved Uno's c-statistic beyond MAGGIC score and NT-proBNP (0.69-0.73). MVX only mediated 3.3% and 4.5% of the association between high and medium frailty groups and death, respectively. CONCLUSIONS In this HF cohort, frailty and MVX are weakly correlated. Both independently contribute to stratifying the risk of death, suggesting that they capture distinct domains of vulnerability in HF.
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Affiliation(s)
- Sant Kumar
- Medstar Georgetown University Hospital Washington DC
| | - Katherine M Conners
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD
| | - Joseph J Shearer
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD
| | - Jungnam Joo
- Office of Biostatistics Research National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD
| | - Sarah Turecamo
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD
| | - Maureen Sampson
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD
| | - Anna Wolska
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD
| | | | | | - Nicholas B Larson
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences Mayo Clinic Rochester MN
| | - Suzette J Bielinski
- Division of Epidemiology, Department of Quantitative Health Sciences Mayo Clinic Rochester MN
| | - Véronique L Roger
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD
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Seehusen KE, Remaley AT, Sampson M, Meeusen JW, Larson NB, Decker PA, Killian JM, Takahashi PY, Roger VL, Manemann SM, Lam R, Bielinski SJ. Discordance Between Very Low-Density Lipoprotein Cholesterol and Low-Density Lipoprotein Cholesterol Increases Cardiovascular Disease Risk in a Geographically Defined Cohort. J Am Heart Assoc 2024; 13:e031878. [PMID: 38591325 DOI: 10.1161/jaha.123.031878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 02/08/2024] [Indexed: 04/10/2024]
Abstract
BACKGROUND Clinical risk scores are used to identify those at high risk of atherosclerotic cardiovascular disease (ASCVD). Despite preventative efforts, residual risk remains for many individuals. Very low-density lipoprotein cholesterol (VLDL-C) and lipid discordance could be contributors to the residual risk of ASCVD. METHODS AND RESULTS Cardiovascular disease-free residents, aged ≥40 years, living in Olmsted County, Minnesota, were identified through the Rochester Epidemiology Project. Low-density lipoprotein cholesterol (LDL-C) and VLDL-C were estimated from clinically ordered lipid panels using the Sampson equation. Participants were categorized into concordant and discordant lipid pairings based on clinical cut points. Rates of incident ASCVD, including percutaneous coronary intervention, coronary artery bypass grafting, stroke, or myocardial infarction, were calculated during follow-up. The association of LDL-C and VLDL-C with ASCVD was assessed using Cox proportional hazards regression. Interaction between LDL-C and VLDL-C was assessed. The study population (n=39 098) was primarily White race (94%) and female sex (57%), with a mean age of 54 years. VLDL-C (per 10-mg/dL increase) was significantly associated with an increased risk of incident ASCVD (hazard ratio, 1.07 [95% CI, 1.05-1.09]; P<0.001]) after adjustment for traditional risk factors. The interaction between LDL-C and VLDL-C was not statistically significant (P=0.11). Discordant individuals with high VLDL-C and low LDL-C experienced the highest rate of incident ASCVD events, 16.9 per 1000 person-years, during follow-up. CONCLUSIONS VLDL-C and lipid discordance are associated with a greater risk of ASCVD and can be estimated from clinically ordered lipid panels to improve ASCVD risk assessment.
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Affiliation(s)
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD
| | - Maureen Sampson
- Clinical Center, Department of Laboratory Medicine National Institutes of Health Bethesda MD
| | - Jeffrey W Meeusen
- Department of Laboratory Medicine and Pathology Mayo Clinic Rochester MN
| | | | - Paul A Decker
- Department of Quantitative Health Sciences Mayo Clinic Rochester MN
| | - Jill M Killian
- Department of Quantitative Health Sciences Mayo Clinic Rochester MN
| | - Paul Y Takahashi
- Division of Community Internal Medicine, Department of Medicine National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD
| | - Véronique L Roger
- Department of Quantitative Health Sciences Mayo Clinic Rochester MN
- Epidemiology and Community Health Branch National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD
| | | | - Reyna Lam
- Department of Quantitative Health Sciences Mayo Clinic Rochester MN
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Turecamo S, Downie CG, Wolska A, Mora S, Otvos JD, Connelly MA, Remaley AT, Conners KM, Joo J, Sampson M, Bielinski SJ, Shearer JJ, Roger VL. Lipoprotein Insulin Resistance Score and Mortality Risk Stratification in Heart Failure. Am J Med 2024:S0002-9343(24)00207-9. [PMID: 38583752 DOI: 10.1016/j.amjmed.2024.03.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND Higher total serum cholesterol is associated with lower mortality in heart failure. Evaluating associations between lipoprotein subfractions and mortality among people with heart failure may provide insights into this observation. METHODS We prospectively enrolled a community cohort of people with heart failure from 2003 to 2012 and assessed vital status through 2021. Plasma collected at enrollment was used to measure lipoprotein subfractions via nuclear magnetic resonance spectroscopy. A composite score of 6 lipoprotein subfractions was generated using the lipoprotein insulin resistance index (LP-IR) algorithm. Using covariate-adjusted proportional hazards regression models, we evaluated associations between LP-IR score and all-cause mortality. RESULTS Among 1382 patients with heart failure (median follow-up 13.9 years), a one-standard-deviation (SD) increment in LP-IR score was associated with lower mortality (hazard ratio [HR] 0.93; 95% confidence interval [CI], 0.97-0.99). Among LP-IR parameters, mean high-density lipoprotein (HDL) particle size was significantly associated with lower mortality (HR per 1-SD decrement in mean HDL particle size = 0.83; 95% CI, 0.78-0.89), suggesting that the inverse association between LP-IR score and mortality may be driven by smaller mean HDL particle size. CONCLUSIONS LP-IR score was inversely associated with mortality among patients with heart failure and may be driven by smaller HDL particle size.
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Affiliation(s)
- Sarah Turecamo
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Carolina G Downie
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Anna Wolska
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Samia Mora
- Center for Lipid Metabolomics, Divisions of Preventive and Cardiovascular Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass
| | - James D Otvos
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | | | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Katherine M Conners
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Jungnam Joo
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Maureen Sampson
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Suzette J Bielinski
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, Minn
| | - Joseph J Shearer
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Véronique L Roger
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
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Joo J, Shearer JJ, Wolska A, Remaley AT, Otvos JD, Connelly MA, Sampson M, Bielinski SJ, Larson NB, Park H, Conners KM, Turecamo S, Roger VL. Incremental Value of a Metabolic Risk Score for Heart Failure Mortality: A Population-Based Study. Circ Genom Precis Med 2024; 17:e004312. [PMID: 38516784 PMCID: PMC11021175 DOI: 10.1161/circgen.123.004312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 03/10/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND Heart failure is heterogeneous syndrome with persistently high mortality. Nuclear magnetic resonance spectroscopy enables high-throughput metabolomics, suitable for precision phenotyping. We aimed to use targeted metabolomics to derive a metabolic risk score (MRS) that improved mortality risk stratification in heart failure. METHODS Nuclear magnetic resonance was used to measure 21 metabolites (lipoprotein subspecies, branched-chain amino acids, alanine, GlycA (glycoprotein acetylation), ketone bodies, glucose, and citrate) in plasma collected from a heart failure community cohort. The MRS was derived using least absolute shrinkage and selection operator penalized Cox regression and temporal validation. The association between the MRS and mortality and whether risk stratification was improved over the Meta-Analysis Global Group in Chronic Heart Failure clinical risk score and NT-proBNP (N-terminal pro-B-type natriuretic peptide) levels were assessed. RESULTS The study included 1382 patients (median age, 78 years, 52% men, 43% reduced ejection fraction) with a 5-year survival rate of 48% (95% CI, 46%-51%). The MRS included 9 metabolites measured. In the validation data set, a 1 standard deviation increase in the MRS was associated with a large increased rate of death (hazard ratio, 2.2 [95% CI, 1.9-2.5]) that remained after adjustment for Meta-Analysis Global Group in Chronic Heart Failure score and NT-proBNP (hazard ratio, 1.6 [95% CI, 1.3-1.9]). These associations did not differ by ejection fraction. The integrated discrimination and net reclassification indices, and Uno's C statistic, indicated that the addition of the MRS improved discrimination over Meta-Analysis Global Group in Chronic Heart Failure and NT-proBNP. CONCLUSIONS This MRS developed in a heart failure community cohort was associated with a large excess risk of death and improved risk stratification beyond an established risk score and clinical markers.
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Affiliation(s)
- Jungnam Joo
- Office of Biostatistics Research, National Heart, Lung, and Blood Inst
| | - Joseph J. Shearer
- Heart Disease Phenomics Laboratory, Epidemiology & Community Health Branch, National Heart, Lung, and Blood Inst
| | - Anna Wolska
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Inst
| | - Alan T. Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Inst
| | - James D. Otvos
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Inst
| | | | - Maureen Sampson
- Dept of Laboratory Medicine, Clinical Ctr, National Institutes of Health, Bethesda, MD
| | | | - Nicholas B. Larson
- Division of Clinical Trials & Biostatistics, Dept of Quantitative Health Sciences, Mayo Clinic College of Medicine & Science, Rochester, MN
| | - Hoyoung Park
- Dept of Statistics, Sookmyung Women’s University, Seoul, Korea
| | - Katherine M. Conners
- Heart Disease Phenomics Laboratory, Epidemiology & Community Health Branch, National Heart, Lung, and Blood Inst
| | - Sarah Turecamo
- Heart Disease Phenomics Laboratory, Epidemiology & Community Health Branch, National Heart, Lung, and Blood Inst
| | - Véronique L. Roger
- Heart Disease Phenomics Laboratory, Epidemiology & Community Health Branch, National Heart, Lung, and Blood Inst
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Yao X, Kaler M, Qu X, Kalidhindi RSR, Sviridov D, Dasseux A, Barr E, Keeran K, Jeffries KR, Yu ZX, Gao M, Gordon S, Barochia AV, Mills J, Shahid S, Weir NA, Kalchiem-Dekel O, Theard P, Playford MP, Stylianou M, Fitzgerald W, Remaley AT, Levine SJ. Asthmatic patients with high serum amyloid A have proinflammatory HDL: Implications for augmented systemic and airway inflammation. J Allergy Clin Immunol 2024; 153:1010-1024.e14. [PMID: 38092139 PMCID: PMC10999351 DOI: 10.1016/j.jaci.2023.11.917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 10/26/2023] [Accepted: 11/10/2023] [Indexed: 01/15/2024]
Abstract
RATIONALE Serum amyloid A (SAA) is bound to high-density lipoproteins (HDL) in blood. Although SAA is increased in the blood of patients with asthma, it is not known whether this modifies asthma severity. OBJECTIVE We sought to define the clinical characteristics of patients with asthma who have high SAA levels and assess whether HDL from SAA-high patients with asthma is proinflammatory. METHODS SAA levels in serum from subjects with and without asthma were quantified by ELISA. HDLs isolated from subjects with asthma and high SAA levels were used to stimulate human monocytes and were intravenously administered to BALB/c mice. RESULTS An SAA level greater than or equal to 108.8 μg/mL was defined as the threshold to identify 11% of an asthmatic cohort (n = 146) as being SAA-high. SAA-high patients with asthma were characterized by increased serum C-reactive protein, IL-6, and TNF-α; older age; and an increased prevalence of obesity and severe asthma. HDL isolated from SAA-high patients with asthma (SAA-high HDL) had an increased content of SAA as compared with HDL from SAA-low patients with asthma and induced the secretion of IL-6, IL-1β, and TNF-α from human monocytes via a formyl peptide receptor 2/ATP/P2X purinoceptor 7 axis. Intravenous administration to mice of SAA-high HDL, but not normal HDL, induced systemic inflammation and amplified allergen-induced neutrophilic airway inflammation and goblet cell metaplasia. CONCLUSIONS SAA-high patients with asthma are characterized by systemic inflammation, older age, and an increased prevalence of obesity and severe asthma. HDL from SAA-high patients with asthma is proinflammatory and, when intravenously administered to mice, induces systemic inflammation, and amplifies allergen-induced neutrophilic airway inflammation. This suggests that systemic inflammation induced by SAA-high HDL may augment disease severity in asthma.
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Affiliation(s)
- Xianglan Yao
- Laboratory of Asthma and Lung Inflammation, Pulmonary Branch, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Maryann Kaler
- Laboratory of Asthma and Lung Inflammation, Pulmonary Branch, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Xuan Qu
- Laboratory of Asthma and Lung Inflammation, Pulmonary Branch, National Heart, Lung, and Blood Institute, Bethesda, Md
| | | | - Denis Sviridov
- Lipoprotein Metabolism Laboratory, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Amaury Dasseux
- Lipoprotein Metabolism Laboratory, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Eric Barr
- Animal Surgery and Resources Core Facility, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Karen Keeran
- Animal Surgery and Resources Core Facility, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Kenneth R Jeffries
- Animal Surgery and Resources Core Facility, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Zu-Xi Yu
- Pathology Core Facility, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Meixia Gao
- Laboratory of Asthma and Lung Inflammation, Pulmonary Branch, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Scott Gordon
- Lipoprotein Metabolism Laboratory, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Amisha V Barochia
- Laboratory of Asthma and Lung Inflammation, Pulmonary Branch, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Joni Mills
- Laboratory of Asthma and Lung Inflammation, Pulmonary Branch, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Shahid Shahid
- Laboratory of Asthma and Lung Inflammation, Pulmonary Branch, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Nargues A Weir
- Laboratory of Asthma and Lung Inflammation, Pulmonary Branch, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Or Kalchiem-Dekel
- Laboratory of Asthma and Lung Inflammation, Pulmonary Branch, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Patricia Theard
- Laboratory of Asthma and Lung Inflammation, Pulmonary Branch, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Martin P Playford
- Section on Inflammation and Cardiometabolic Diseases, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Mario Stylianou
- Office of Biostatistics Research, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md
| | - Wendy Fitzgerald
- Section on Intercellular Interactions, National Institute of Child Health and Development, National Institutes of Health, Bethesda, Md
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, National Heart, Lung, and Blood Institute, Bethesda, Md
| | - Stewart J Levine
- Laboratory of Asthma and Lung Inflammation, Pulmonary Branch, National Heart, Lung, and Blood Institute, Bethesda, Md.
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He Y, Pavanello C, Hutchins PM, Tang C, Pourmousa M, Vaisar T, Song HD, Pastor RW, Remaley AT, Goldberg IJ, Costacou T, Sean Davidson W, Bornfeldt KE, Calabresi L, Segrest JP, Heinecke JW. Flipped C-Terminal Ends of APOA1 Promote ABCA1-Dependent Cholesterol Efflux by Small HDLs. Circulation 2024; 149:774-787. [PMID: 38018436 PMCID: PMC10913861 DOI: 10.1161/circulationaha.123.065959] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 11/05/2023] [Indexed: 11/30/2023]
Abstract
BACKGROUND Cholesterol efflux capacity (CEC) predicts cardiovascular disease independently of high-density lipoprotein (HDL) cholesterol levels. Isolated small HDL particles are potent promoters of macrophage CEC by the ABCA1 (ATP-binding cassette transporter A1) pathway, but the underlying mechanisms are unclear. METHODS We used model system studies of reconstituted HDL and plasma from control and lecithin-cholesterol acyltransferase (LCAT)-deficient subjects to investigate the relationships among the sizes of HDL particles, the structure of APOA1 (apolipoprotein A1) in the different particles, and the CECs of plasma and isolated HDLs. RESULTS We quantified macrophage and ABCA1 CEC of 4 distinct sizes of reconstituted HDL. CEC increased as particle size decreased. Tandem mass spectrometric analysis of chemically cross-linked peptides and molecular dynamics simulations of APOA1, the major protein of HDL, indicated that the mobility of C-terminus of that protein was markedly higher and flipped off the surface in the smallest particles. To explore the physiological relevance of the model system studies, we isolated HDL from LCAT-deficient subjects, whose small HDLs (like reconstituted HDLs) are discoidal and composed of APOA1, cholesterol, and phospholipid. Despite their very low plasma levels of HDL particles, these subjects had normal CEC. In both the LCAT-deficient subjects and control subjects, the CEC of isolated extra-small HDL (a mixture of extra-small and small HDL by calibrated ion mobility analysis) was 3- to 5-fold greater than that of the larger sizes of isolated HDL. Incubating LCAT-deficient plasma and control plasma with human LCAT converted extra-small and small HDL particles into larger particles, and it markedly inhibited CEC. CONCLUSIONS We present a mechanism for the enhanced CEC of small HDLs. In smaller particles, the C-termini of the 2 antiparallel molecules of APOA1 are "flipped" off the lipid surface of HDL. This extended conformation allows them to engage with ABCA1. In contrast, the C-termini of larger HDLs are unable to interact productively with ABCA1 because they form a helical bundle that strongly adheres to the lipid on the particle. Enhanced CEC, as seen with the smaller particles, predicts decreased cardiovascular disease risk. Thus, extra-small and small HDLs may be key mediators and indicators of the cardioprotective effects of HDL.
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Affiliation(s)
- Yi He
- Department of Medicine, University of Washington, Seattle (Y.H., P.M.H., C.T., T.V., K.E.B., J.W.H.)
| | - Chiara Pavanello
- Centro Grossi Paoletti, Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Italy (C.P., L.C.)
| | - Patrick M. Hutchins
- Department of Medicine, University of Washington, Seattle (Y.H., P.M.H., C.T., T.V., K.E.B., J.W.H.)
| | - Chongren Tang
- Department of Medicine, University of Washington, Seattle (Y.H., P.M.H., C.T., T.V., K.E.B., J.W.H.)
| | - Mohsen Pourmousa
- Laboratory of Computational Biology, National Heart, Lung, and Blood Institute (M.P., R.W.P.), National Institutes of Health, Bethesda, MD
| | - Tomas Vaisar
- Department of Medicine, University of Washington, Seattle (Y.H., P.M.H., C.T., T.V., K.E.B., J.W.H.)
| | - Hyun D. Song
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (H.D.S., J.P.S.)
| | - Richard W. Pastor
- Laboratory of Computational Biology, National Heart, Lung, and Blood Institute (M.P., R.W.P.), National Institutes of Health, Bethesda, MD
| | - Alan T. Remaley
- Department of Laboratory Medicine (A.T.R.), National Institutes of Health, Bethesda, MD
| | - Ira J. Goldberg
- Department of Medicine, New York University, New York, NY (I.J.G.)
| | - Tina Costacou
- Department of Epidemiology, University of Pittsburgh, PA (T.C.)
| | - W. Sean Davidson
- Department of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine, OH (W.S.D.)
| | - Karin E. Bornfeldt
- Department of Medicine, University of Washington, Seattle (Y.H., P.M.H., C.T., T.V., K.E.B., J.W.H.)
| | - Laura Calabresi
- Centro Grossi Paoletti, Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Italy (C.P., L.C.)
| | - Jere P. Segrest
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (H.D.S., J.P.S.)
| | - Jay W. Heinecke
- Department of Medicine, University of Washington, Seattle (Y.H., P.M.H., C.T., T.V., K.E.B., J.W.H.)
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Chackerian B, Remaley AT. PCSK9 vaccines: a promising new strategy for the treatment of hypercholesterolemia? J Lipid Res 2024; 65:100524. [PMID: 38373655 PMCID: PMC10940761 DOI: 10.1016/j.jlr.2024.100524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024] Open
Affiliation(s)
- Bryce Chackerian
- Department of Molecular Genetics and Microbiology, University of New Mexico School of Medicine, Albuquerque, NM, USA.
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
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Mondal AK, Brock DC, Rowan S, Yang ZH, Rojulpote KV, Smith KM, Francisco SG, Bejarano E, English MA, Deik A, Jeanfavre S, Clish CB, Remaley AT, Taylor A, Swaroop A. Selective transcriptomic dysregulation of metabolic pathways in liver and retina by short- and long-term dietary hyperglycemia. iScience 2024; 27:108979. [PMID: 38333717 PMCID: PMC10850775 DOI: 10.1016/j.isci.2024.108979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 11/21/2023] [Accepted: 01/16/2024] [Indexed: 02/10/2024] Open
Abstract
A high glycemic index (HGI) diet induces hyperglycemia, a risk factor for diseases affecting multiple organ systems. Here, we evaluated tissue-specific adaptations in the liver and retina after feeding HGI diet to mice for 1 or 12 month. In the liver, genes associated with inflammation and fatty acid metabolism were altered within 1 month of HGI diet, whereas 12-month HGI diet-fed group showed dysregulated expression of cytochrome P450 genes and overexpression of lipogenic factors including Srebf1 and Elovl5. In contrast, retinal transcriptome exhibited HGI-related notable alterations in energy metabolism genes only after 12 months. Liver fatty acid profiles in HGI group revealed higher levels of monounsaturated and lower levels of saturated and polyunsaturated fatty acids. Additionally, HGI diet increased blood low-density lipoprotein, and diet-aging interactions affected expression of mitochondrial oxidative phosphorylation genes in the liver and disease-associated genes in retina. Thus, our findings provide new insights into retinal and hepatic adaptive mechanisms to dietary hyperglycemia.
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Affiliation(s)
- Anupam K. Mondal
- Neurobiology Neurodegeneration & Repair Laboratory, National Eye Institute (NEI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Daniel C. Brock
- Neurobiology Neurodegeneration & Repair Laboratory, National Eye Institute (NEI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Sheldon Rowan
- Laboratory for Nutrition & Vision Research, JM-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
- Friedman School of Nutrition Science and Policy, and Department of Molecular and Chemical Biology, Tufts University, Boston, MA, USA
- Department of Ophthalmology, Tufts University School of Medicine, Boston, MA, USA
| | - Zhi-Hong Yang
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Krishna Vamsi Rojulpote
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Kelsey M. Smith
- Laboratory for Nutrition & Vision Research, JM-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
- Friedman School of Nutrition Science and Policy, and Department of Molecular and Chemical Biology, Tufts University, Boston, MA, USA
| | - Sarah G. Francisco
- Laboratory for Nutrition & Vision Research, JM-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Eloy Bejarano
- Laboratory for Nutrition & Vision Research, JM-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
- School of Health Sciences and Veterinary School, Universidad CEU Cardenal Herrera, CEU Universities, Valencia, Spain
| | - Milton A. English
- Neurobiology Neurodegeneration & Repair Laboratory, National Eye Institute (NEI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Amy Deik
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | - Alan T. Remaley
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Allen Taylor
- Laboratory for Nutrition & Vision Research, JM-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
- Friedman School of Nutrition Science and Policy, and Department of Molecular and Chemical Biology, Tufts University, Boston, MA, USA
- Department of Ophthalmology, Tufts University School of Medicine, Boston, MA, USA
| | - Anand Swaroop
- Neurobiology Neurodegeneration & Repair Laboratory, National Eye Institute (NEI), National Institutes of Health (NIH), Bethesda, MD, USA
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Coverdell TC, Sampson M, Zubirán R, Wolska A, Donato LJ, Meeusen JW, Jaffe AS, Remaley AT. An improved method for estimating low LDL-C based on the enhanced Sampson-NIH equation. Lipids Health Dis 2024; 23:43. [PMID: 38331834 PMCID: PMC10851542 DOI: 10.1186/s12944-024-02018-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 01/13/2024] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND The accurate measurement of Low-density lipoprotein cholesterol (LDL-C) is critical in the decision to utilize the new lipid-lowering therapies like PCSK9-inhibitors (PCSK9i) for high-risk cardiovascular disease patients that do not achieve sufficiently low LDL-C on statin therapy. OBJECTIVE To improve the estimation of low LDL-C by developing a new equation that includes apolipoprotein B (apoB) as an independent variable, along with the standard lipid panel test results. METHODS Using β-quantification (BQ) as the reference method, which was performed on a large dyslipidemic population (N = 24,406), the following enhanced Sampson-NIH equation (eS LDL-C) was developed by least-square regression analysis: [Formula: see text] RESULTS: The eS LDL-C equation was the most accurate equation for a broad range of LDL-C values based on regression related parameters and the mean absolute difference (mg/dL) from the BQ reference method (eS LDL-C: 4.51, Sampson-NIH equation [S LDL-C]: 6.07; extended Martin equation [eM LDL-C]: 6.64; Friedewald equation [F LDL-C]: 8.3). It also had the best area-under-the-curve accuracy score by Regression Error Characteristic plots for LDL-C < 100 mg/dL (eS LDL-C: 0.953; S LDL-C: 0.920; eM LDL-C: 0.915; F LDL-C: 0.874) and was the best equation for categorizing patients as being below or above the 70 mg/dL LDL-C treatment threshold for adding new lipid-lowering drugs by kappa score analysis when compared to BQ LDL-C for TG < 800 mg/dL (eS LDL-C: 0.870 (0.853-0.887); S LDL-C:0.763 (0.749-0.776); eM LDL-C:0.706 (0.690-0.722); F LDL-C:0.687 (0.672-0.701). Approximately a third of patients with an F LDL-C < 70 mg/dL had falsely low test results, but about 80% were correctly reclassified as higher (≥ 70 mg/dL) by the eS LDL-C equation, making them potentially eligible for PCSK9i treatment. The M LDL-C and S LDL-C equations had less false low results below 70 mg/dL than the F LDL-C equation but reclassification by the eS LDL-C equation still also increased the net number of patients correctly classified. CONCLUSIONS The use of the eS LDL-C equation as a confirmatory test improves the identification of high-risk cardiovascular disease patients, who could benefit from new lipid-lowering therapies but have falsely low LDL-C, as determined by the standard LDL-C equations used in current practice.
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Affiliation(s)
- Tatiana C Coverdell
- Clinical Center, Department of Laboratory Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Maureen Sampson
- Clinical Center, Department of Laboratory Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Rafael Zubirán
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Anna Wolska
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Leslie J Donato
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Jeff W Meeusen
- Cardiovascular Laboratory Medicine, Mayo Clinic, Rochester, MN, USA
| | - Allan S Jaffe
- Division of Clinical Core Laboratory Services, Mayo Clinic, Rochester, MN, USA
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
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11
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Sampson M, Wolska A, Meeusen JW, Otvos J, Remaley AT. The Sampson-NIH Equation Is the Preferred Calculation Method for LDL-C. Clin Chem 2024; 70:399-402. [PMID: 38006320 DOI: 10.1093/clinchem/hvad190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 10/03/2023] [Indexed: 11/27/2023]
Affiliation(s)
- Maureen Sampson
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, United States
| | - Anna Wolska
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Jeff W Meeusen
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
| | - James Otvos
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
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12
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Conners KM, Shearer JJ, Joo J, Park H, Manemann SM, Remaley AT, Otvos JD, Connelly MA, Sampson M, Bielinski SJ, Wolska A, Turecamo S, Roger VL. The Metabolic Vulnerability Index: A Novel Marker for Mortality Prediction in Heart Failure. JACC Heart Fail 2024; 12:290-300. [PMID: 37480881 PMCID: PMC10949384 DOI: 10.1016/j.jchf.2023.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 06/05/2023] [Accepted: 06/07/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND Inflammation and protein energy malnutrition are associated with heart failure (HF) mortality. The metabolic vulnerability index (MVX) is derived from markers of inflammation and malnutrition and measured by nuclear magnetic resonance spectroscopy. MVX has not been examined in HF. OBJECTIVES The authors sought to examine the prognostic value of MVX in patients with HF. METHODS The authors prospectively assembled a population-based cohort of patients with HF from 2003 to 2012 and measured MVX scores with a nuclear magnetic resonance scan from plasma collected at enrollment. Patients were divided into 4 MVX score groups and followed until March 31, 2021. RESULTS The authors studied 1,382 patients (median age: 78 years; 48% women). The median MVX score was 64.6. Patients with higher MVX were older, more likely to be male, have atrial fibrillation, have higher NYHA functional class, and have HF duration of >18 months. Higher MVX was associated with mortality independent of Meta-analysis Global Group in Chronic Heart Failure score, ejection fraction, and other prognostic biomarkers. Compared to those with the lowest MVX, the HRs for MVX groups 2, 3, and 4 were 1.2 (95% CI: 0.9-1.4), 1.6 (95% CI: 1.3-2.0), and 1.8 (95% CI: 1.4-2.2), respectively (Ptrend < 0.001). Measures of model improvement document the added value of MVX in HF for classifying the risk of death beyond the Meta-analysis Global Group in Chronic Heart Failure score and other biomarkers. CONCLUSIONS In this HF community cohort, MVX was strongly associated with mortality independently of established clinical factors and improved mortality risk classification beyond clinically validated markers. These data underscore the potential of MVX to stratify risk in HF.
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Affiliation(s)
- Katherine M Conners
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Joseph J Shearer
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Jungnam Joo
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Hoyoung Park
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Sheila M Manemann
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - James D Otvos
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Maureen Sampson
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA
| | - Suzette J Bielinski
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Anna Wolska
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Sarah Turecamo
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Véronique L Roger
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
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13
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Oyetoro RO, Conners KM, Joo J, Turecamo S, Sampson M, Wolska A, Remaley AT, Otvos JD, Connelly MA, Larson NB, Bielinski SJ, Hashemian M, Shearer JJ, Roger VL. Circulating ketone bodies and mortality in heart failure: a community cohort study. Front Cardiovasc Med 2024; 11:1293901. [PMID: 38327494 PMCID: PMC10847221 DOI: 10.3389/fcvm.2024.1293901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 01/11/2024] [Indexed: 02/09/2024] Open
Abstract
Background The relationship between ketone bodies (KB) and mortality in patients with heart failure (HF) syndrome has not been well established. Objectives The aim of this study is to assess the distribution of KB in HF, identify clinical correlates, and examine the associations between plasma KB and all-cause mortality in a population-based HF cohort. Methods The plasma KB levels were measured by nuclear magnetic resonance spectroscopy. Multivariable linear regression was used to examine associations between clinical correlates and KB levels. Proportional hazard regression was employed to examine associations between KB (represented as both continuous and categorical variables) and mortality, with adjustment for several clinical covariates. Results Among the 1,382 HF patients with KB measurements, the median (IQR) age was 78 (68, 84) and 52% were men. The median (IQR) KB was found to be 180 (134, 308) μM. Higher KB levels were associated with advanced HF (NYHA class III-IV) and higher NT-proBNP levels (both P < 0.001). The median follow-up was 13.9 years, and the 5-year mortality rate was 51.8% [95% confidence interval (CI): 49.1%-54.4%]. The risk of death increased when KB levels were higher (HRhigh vs. low group 1.23; 95% CI: 1.05-1.44), independently of a validated clinical risk score. The association between higher KB and mortality differed by ejection fraction (EF) and was noticeably stronger among patients with preserved EF. Conclusions Most patients with HF exhibited KB levels that were consistent with those found in healthy adults. Elevated levels of KB were observed in patients with advanced HF. Higher KB levels were found to be associated with an increased risk of death, particularly in patients with preserved EF.
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Affiliation(s)
- Rebecca O. Oyetoro
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Katherine M. Conners
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Jungnam Joo
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Sarah Turecamo
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Maureen Sampson
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, United States
| | - Anna Wolska
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Alan T. Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - James D. Otvos
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | | | - Nicholas B. Larson
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, MN, United States
| | - Suzette J. Bielinski
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, MN, United States
| | - Maryam Hashemian
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Joseph J. Shearer
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Véronique L. Roger
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
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14
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Garcia E, Shalaurova I, Matyus SP, Freeman LA, Neufeld EB, Sampson ML, Zubirán R, Wolska A, Remaley AT, Otvos JD, Connelly MA. A High-Throughput NMR Method for Lipoprotein-X Quantification. Molecules 2024; 29:564. [PMID: 38338310 PMCID: PMC10856374 DOI: 10.3390/molecules29030564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 01/02/2024] [Accepted: 01/19/2024] [Indexed: 02/12/2024] Open
Abstract
Lipoprotein X (LP-X) is an abnormal cholesterol-rich lipoprotein particle that accumulates in patients with cholestatic liver disease and familial lecithin-cholesterol acyltransferase deficiency (FLD). Because there are no high-throughput diagnostic tests for its detection, a proton nuclear magnetic resonance (NMR) spectroscopy-based method was developed for use on a clinical NMR analyzer commonly used for the quantification of lipoproteins and other cardiovascular biomarkers. The LP-X assay was linear from 89 to 1615 mg/dL (cholesterol units) and had a functional sensitivity of 44 mg/dL. The intra-assay coefficient of variation (CV) varied between 1.8 and 11.8%, depending on the value of LP-X, whereas the inter-assay CV varied between 1.5 and 15.4%. The assay showed no interference with bilirubin levels up to 317 mg/dL and was also unaffected by hemolysis for hemoglobin values up to 216 mg/dL. Samples were stable when stored for up to 6 days at 4 °C but were not stable when frozen. In a large general population cohort (n = 277,000), LP-X was detected in only 50 subjects. The majority of LP-X positive cases had liver disease (64%), and in seven cases, had genetic FLD (14%). In summary, we describe a new NMR-based assay for LP-X, which can be readily implemented for routine clinical laboratory testing.
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Affiliation(s)
- Erwin Garcia
- Labcorp, Morrisville, NC 27560, USA; (E.G.); (I.S.); (S.P.M.)
| | | | | | - Lita A. Freeman
- Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; (L.A.F.); (E.B.N.); (R.Z.); (A.W.); (A.T.R.); (J.D.O.)
| | - Edward B. Neufeld
- Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; (L.A.F.); (E.B.N.); (R.Z.); (A.W.); (A.T.R.); (J.D.O.)
| | - Maureen L. Sampson
- Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA;
| | - Rafael Zubirán
- Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; (L.A.F.); (E.B.N.); (R.Z.); (A.W.); (A.T.R.); (J.D.O.)
| | - Anna Wolska
- Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; (L.A.F.); (E.B.N.); (R.Z.); (A.W.); (A.T.R.); (J.D.O.)
| | - Alan T. Remaley
- Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; (L.A.F.); (E.B.N.); (R.Z.); (A.W.); (A.T.R.); (J.D.O.)
- Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA;
| | - James D. Otvos
- Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; (L.A.F.); (E.B.N.); (R.Z.); (A.W.); (A.T.R.); (J.D.O.)
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15
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Casiano Matos J, Harichandran K, Tang J, Sviridov DO, Sidoti Migliore G, Suzuki M, Olano LR, Hobbs A, Kumar A, Paskel MU, Bonsignori M, Dearborn AD, Remaley AT, Marcotrigiano J. Hepatitis C virus E1 recruits high-density lipoprotein to support infectivity and evade antibody recognition. J Virol 2024; 98:e0084923. [PMID: 38174935 PMCID: PMC10804985 DOI: 10.1128/jvi.00849-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 11/28/2023] [Indexed: 01/05/2024] Open
Abstract
Hepatitis C virus (HCV) is a member of the Flaviviridae family; however, unlike other family members, the HCV virion has an unusually high lipid content. HCV has two envelope glycoproteins, E1 and E2. E2 contributes to receptor binding, cell membrane attachment, and immune evasion. In contrast, the functions of E1 are poorly characterized due, in part, to challenges in producing the protein. This manuscript describes the expression and purification of a soluble E1 ectodomain (eE1) that is recognized by conformational, human monoclonal antibodies. eE1 forms a complex with apolipoproteins AI and AII, cholesterol, and phospholipids by recruiting high-density lipoprotein (HDL) from the extracellular media. We show that HDL binding is a function specific to eE1 and HDL hinders recognition of E1 by a neutralizing monoclonal antibody. Either low-density lipoprotein or HDL increases the production and infectivity of cell culture-produced HCV, but E1 preferentially selects HDL, influencing both viral life cycle and antibody evasion.IMPORTANCEHepatitis C virus (HCV) infection is a significant burden on human health, but vaccine candidates have yet to provide broad protection against this infection. We have developed a method to produce high quantities of soluble E1 or E2, the viral proteins located on the surface of HCV. HCV has an unusually high lipid content due to the recruitment of apolipoproteins. We found that E1 (and not E2) preferentially recruits host high-density lipoprotein (HDL) extracellularly. This recruitment of HDL by E1 prevents binding of E1 by a neutralizing antibody and furthermore prevents antibody-mediated neutralization of the virus. By comparison, low-density lipoprotein does not protect the virus from antibody-mediated neutralization. Our findings provide mechanistic insight into apolipoprotein recruitment, which may be critical for vaccine development.
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Affiliation(s)
- Jennifer Casiano Matos
- Structural Virology Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Kaneemozhe Harichandran
- Structural Virology Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Jingrong Tang
- Lipoprotein Metabolism Laboratory, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Denis O. Sviridov
- Lipoprotein Metabolism Laboratory, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Giacomo Sidoti Migliore
- Translational Immunobiology Unit, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Motoshi Suzuki
- Protein Chemistry Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, USA
| | - Lisa R. Olano
- Protein Chemistry Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, USA
| | - Alvaro Hobbs
- Structural Virology Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Ashish Kumar
- Structural Virology Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Myeisha U. Paskel
- Structural Virology Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Mattia Bonsignori
- Translational Immunobiology Unit, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Altaira D. Dearborn
- Structural Virology Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Alan T. Remaley
- Lipoprotein Metabolism Laboratory, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Joseph Marcotrigiano
- Structural Virology Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
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16
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Sampson M, Wolska A, Zubirán R, Cole J, Amar M, Remaley AT. Optimization of time interval for the measurement of plasma lipids for cardiovascular disease risk assessment. Expert Rev Mol Diagn 2024; 24:123-133. [PMID: 38252511 PMCID: PMC10922749 DOI: 10.1080/14737159.2024.2306127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 12/29/2023] [Indexed: 01/24/2024]
Abstract
BACKGROUND Lipid testing for atherosclerotic cardiovascular disease (ASCVD) risk is often performed every 4-6 years, but we hypothesized that the optimum time interval may vary depending on baseline risk. RESEARCH DESIGN AND METHODS Using lipid values and other risk factors from the National Health and Nutrition Examination Survey (NHANES) (n = 9,704), we calculated a 10-year risk score with the pooled-cohort equations. Future risk scores were predicted by increasing age and projecting systolic blood pressure (SBP) and lipid changes, using the mean-percentile age group change in NHANES for SBP (n = 17,329) and the Lifelines Cohort study for lipids (n = 133,540). The crossing of high and intermediate-risk thresholds were calculated by time to determine optimum intervals for lipid testing. RESULTS Time to crossing risk thresholds depends on baseline risk, but the mean increase in the risk score plateaus at 1% per year for those with a baseline 10-year risk greater than 15%. Based on these findings, we recommend the following maximum time intervals for lipid testing: baseline risk < 15%: 5-years, 16%: 4-years, 17%: 3-years, 18%: 2-years, and 19%: ≤1-year. CONCLUSIONS Testing patients for lipids who have a higher baseline risk more often could identify high-risk patients sooner, allowing for earlier and more effective therapeutic intervention.
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Affiliation(s)
- Maureen Sampson
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Anna Wolska
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rafael Zubirán
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Justine Cole
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, USA
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Marcelo Amar
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alan T. Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
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Sorci-Thomas MG, Hegele RA, Remaley AT. A Century of Milestones and Breakthroughs Related to Low- and High-Density Lipoproteins. Arterioscler Thromb Vasc Biol 2024; 44:7-11. [PMID: 38150515 PMCID: PMC10760802 DOI: 10.1161/atvbaha.123.319482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2023]
Affiliation(s)
- Mary G. Sorci-Thomas
- Department of Medicine, Division of Endocrinology and Molecular Medicine, Medical College of Wisconsin, Milwaukee WI, USA
- Pharmacology & Toxicology, Medical College of Wisconsin, Milwaukee WI, USA
- Cardiovascular Center, Medical College of Wisconsin, Milwaukee WI, USA
| | - Robert A. Hegele
- Schulich School of Medicine and Dentistry, Western University, London ON, Canada
| | - Alan T. Remaley
- Laboratory of Lipoprotein Metabolism, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
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18
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Yang ZH, Gorusupudi A, Lydic TA, Mondal AK, Sato S, Yamazaki I, Yamaguchi H, Tang J, Rojulpote KV, Lin AB, Decot H, Koch H, Brock DC, Arunkumar R, Shi ZD, Yu ZX, Pryor M, Kun JF, Swenson RE, Swaroop A, Bernstein PS, Remaley AT. Dietary fish oil enriched in very-long-chain polyunsaturated fatty acid reduces cardiometabolic risk factors and improves retinal function. iScience 2023; 26:108411. [PMID: 38047069 PMCID: PMC10692724 DOI: 10.1016/j.isci.2023.108411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 08/31/2023] [Accepted: 11/03/2023] [Indexed: 12/05/2023] Open
Abstract
Very-long-chain polyunsaturated fatty acids (VLCPUFAs; C24-38) constitute a unique class of PUFA that have important biological roles, but the lack of a suitable dietary source has limited research in this field. We produced an n-3 C24-28-rich VLCPUFA-oil concentrated from fish oil to study its bioavailability and physiological functions in C57BL/6J mice. The serum and retinal C24:5 levels increased significantly compared to control after a single-dose gavage, and VLCPUFAs were incorporated into the liver, brain, and eyes after 8-week supplementation. Dietary VLCPUFAs resulted in favorable cardiometabolic changes, and improved electroretinography responses and visual performance. VLCPUFA supplementation changed the expression of genes involved in PPAR signaling pathways. Further in vitro studies demonstrated that the VLCPUFA-oil and chemically synthesized C24:5 are potent agonists for PPARs. The multiple potential beneficial effects of fish oil-derived VLCPUFAs on cardiometabolic risk and eye health in mice support future efforts to develop VLCPUFA-oil into a supplemental therapy.
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Affiliation(s)
- Zhi-Hong Yang
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - Aruna Gorusupudi
- Department of Ophthalmology and Visual Sciences, John A. Moran Eye Center, Salt Lake City, UT 84132, USA
| | - Todd A. Lydic
- Department of Physiology, Collaborative Mass Spectrometry Core, Michigan State University, East Lansing, MI 48824, USA
| | - Anupam K. Mondal
- Neurobiology, Neurodegeneration and Repair Laboratory, National Eye Institute, NIH, Bethesda, MD 20892, USA
| | - Seizo Sato
- Central Research Laboratory, Nissui Corporation, 1-32-3 Nanakuni, Hachioji, Tokyo 192-0991, Japan
| | - Isao Yamazaki
- Central Research Laboratory, Nissui Corporation, 1-32-3 Nanakuni, Hachioji, Tokyo 192-0991, Japan
| | - Hideaki Yamaguchi
- Central Research Laboratory, Nissui Corporation, 1-32-3 Nanakuni, Hachioji, Tokyo 192-0991, Japan
| | - Jingrong Tang
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - Krishna Vamsi Rojulpote
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - Anna B. Lin
- Department of Physiology, Collaborative Mass Spectrometry Core, Michigan State University, East Lansing, MI 48824, USA
| | - Hannah Decot
- Department of Physiology, Collaborative Mass Spectrometry Core, Michigan State University, East Lansing, MI 48824, USA
| | - Hannah Koch
- Department of Physiology, Collaborative Mass Spectrometry Core, Michigan State University, East Lansing, MI 48824, USA
| | - Daniel C. Brock
- Neurobiology, Neurodegeneration and Repair Laboratory, National Eye Institute, NIH, Bethesda, MD 20892, USA
| | - Ranganathan Arunkumar
- Department of Ophthalmology and Visual Sciences, John A. Moran Eye Center, Salt Lake City, UT 84132, USA
| | - Zhen-Dan Shi
- Chemistry and Synthesis Center, NHLBI, NIH, Bethesda, MD 20892, USA
| | - Zu-Xi Yu
- Pathology Core, NHLBI, NIH, Bethesda, MD 20892, USA
| | - Milton Pryor
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - Julia F. Kun
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - Rolf E. Swenson
- Chemistry and Synthesis Center, NHLBI, NIH, Bethesda, MD 20892, USA
| | - Anand Swaroop
- Neurobiology, Neurodegeneration and Repair Laboratory, National Eye Institute, NIH, Bethesda, MD 20892, USA
| | - Paul S. Bernstein
- Department of Ophthalmology and Visual Sciences, John A. Moran Eye Center, Salt Lake City, UT 84132, USA
| | - Alan T. Remaley
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA
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Bilgic S, Remaley AT, Sniderman AD. Triglyceride-rich lipoprotein cholesterol and cardiovascular risk. Curr Opin Lipidol 2023; 34:259-266. [PMID: 37773930 PMCID: PMC10872610 DOI: 10.1097/mol.0000000000000905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/01/2023]
Abstract
PURPOSE OF REVIEW The triglyceride-rich apoB lipoprotein particles make up a minority of the apoB particles in plasma. They vary in size, in lipid, and in protein content. Most are small enough to enter the arterial wall and therefore most are atherogenic. But how important a contribution TRL particles make to the total risk created by the apoB lipoproteins remains controversial. A recent Mendelian randomization analysis determined that the cardiovascular risk related to the cholesterol within these apoB particles--the TRL cholesterol--was greater than--and independent of--the risk related to apoB. If correct, these observations have major clinical significance. RECENT FINDINGS Accordingly, we have analyzed these results in detail. In our view, the independent strength of the association between TRL cholesterol and apoB with cardiovascular risk seems inconsistent with the biological connections between apoB and cholesterol as integral and highly correlated constituents of apoB particles. These results are also inconsistent with other lines of evidence such as the results of the fibrate randomized clinical trials. Moreover, we are also concerned with other aspects of the analysis. SUMMARY We do not regard the issue as settled. However, this enquiry has led us to a fuller understanding of the determinants of the cholesterol content of the TRL apoB particles and the complex processing of cholesterol amongst the plasma lipoproteins.
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Affiliation(s)
- Selin Bilgic
- Mike and Valeria Rosenbloom Centre for Cardiovascular Prevention, Department of Medicine, McGill University Health Centre, Montreal, Quebec, Canada
| | - Alan T. Remaley
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Allan D. Sniderman
- Mike and Valeria Rosenbloom Centre for Cardiovascular Prevention, Department of Medicine, McGill University Health Centre, Montreal, Quebec, Canada
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Zubirán R, Vargas-Vazquez A, Olvera FDR, Cruz-Bautista I, Martagón-Rosado A, Sampson M, Remaley AT, Aguilar-Salinas CA. Performance of the enhanced Sampson-NIH equation for VLDL-C and LDL-C in a population with familial combined hyperlipidemia. Atherosclerosis 2023; 386:117364. [PMID: 37984194 PMCID: PMC10841743 DOI: 10.1016/j.atherosclerosis.2023.117364] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 10/19/2023] [Accepted: 10/20/2023] [Indexed: 11/22/2023]
Abstract
INTRODUCTION Low-density cholesterol (LDL-C) has long been estimated by the Friedewald formula (F-LDL-C); however, this method underestimates LDL-C in patients with hypertriglyceridemia (HTG) or low LDL-C levels. The Martin (M-LDL-C) and Sampson (S-LDL-C) formulas partially resolve these limitations. Recently, Sampson et al. developed a new equation (eS-VLDL-C) that includes ApoB. This new equation could be particularly useful in FCHL, which is characterized by the predominance of triglyceride-rich VLDL and a discordance between LDL-C and ApoB. METHODS Very low-density lipoproteins (VLDL-C) was measured in 336 patients with FCHL by sequential ultracentrifugation. LDL-C was estimated by subtracting VLDL-C, estimated by the different equations, from non-HDL cholesterol. Spearman correlations, R2, mean squared error (RMSE), and bias were used to compare the accuracy of the different equations. Concordance of the estimated LDL-C values with LDL-C thresholds and ApoB was also assessed by their kappa coefficients and ROC analysis. RESULTS Overall population had a mean age of 47 years, and 61.5% were women. 19.5% had type 2 diabetes, hypertension was present in 20.8%, and only 12.2% were on statin treatment. Both S-LDL-C and eS-LDL-C performed similarly, and better than M-LDL-C and F-LDL-C. In Bland-Altman analysis, eS-LDL-C showed the lowest bias, better performance in HTG, and better concordance with LDL-C treatment goals compared to other formulas (e.g. ρ: 0.87, 95% CI 0.84-0.89). CONCLUSIONS LDL-S and LDL-eS equations estimate the concentration of LDL-C with greater accuracy than other formulas. The LDL-eS has best performance in estimating LDL-C with lower RMSE than other formulas.
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Affiliation(s)
- Rafael Zubirán
- Metabolic Diseases Research Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, 14080 Mexico City, Mexico; Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Arsenio Vargas-Vazquez
- Metabolic Diseases Research Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, 14080 Mexico City, Mexico; Department of Medical Education, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, 14080 Mexico City, Mexico
| | - Fabiola Del Razo Olvera
- Metabolic Diseases Research Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, 14080 Mexico City, Mexico
| | - Ivette Cruz-Bautista
- Metabolic Diseases Research Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, 14080 Mexico City, Mexico
| | - Alexandro Martagón-Rosado
- Metabolic Diseases Research Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, 14080 Mexico City, Mexico; Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Mexico City 64700, Mexico; Institute for Obesity Research, Tecnologico de Monterrey, Mexico City 64700, Mexico
| | - Maureen Sampson
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Carlos A Aguilar-Salinas
- Metabolic Diseases Research Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, 14080 Mexico City, Mexico; Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Mexico City 64700, Mexico; Department of Investigation, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, 14080 Mexico City, Mexico; Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Beirut, Lebanon.
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Florida EM, Li H, Hong CG, Ongstad EL, Gaddipati R, Sitaula S, Varma V, Parel PM, O'Hagan R, Chen MY, Teague HL, Playford MP, Karathanasis SK, Collén A, Mehta NN, Remaley AT, Sorokin AV. Relationship of Soluble Lectin-Like Low-Density Lipoprotein Receptor-1 (sLOX-1) With Inflammation and Coronary Plaque Progression in Psoriasis. J Am Heart Assoc 2023; 12:e031227. [PMID: 37982276 PMCID: PMC10727277 DOI: 10.1161/jaha.123.031227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 10/24/2023] [Indexed: 11/21/2023]
Abstract
BACKGROUND Psoriasis is a chronic inflammatory condition associated with coronary artery disease risk. Uptake of oxidized low-density lipoprotein by the lectin-like low-density lipoprotein receptor-1 triggers release of the soluble extracellular domain of the receptor (sLOX-1). We sought to characterize the relationship between sLOX-1, inflammation, and coronary plaque progression in psoriasis. METHODS AND RESULTS A total of 327 patients with psoriasis had serum sLOX-1 levels measured at baseline by an ELISA-based assay. Stratification by high-sensitivity C-reactive protein ≥4.0 mg/L (quartile 4), identified 81 participants who had coronary plaque phenotyping at baseline and were followed longitudinally by coronary computed tomography angiography. Subjects within high-sensitivity C-reactive protein quartile 4 were middle-aged (51.47±12.62 years), predominantly men (54.3%) with moderate psoriasis disease severity (6.60 [interquartile range, 3.30-13.40]). In the study cohort, participants with sLOX-1 above the median displayed increased vulnerable coronary plaque features. At baseline, sLOX-1 was associated with total burden (rho=0.296; P=0.01), noncalcified burden (rho=0.286; P=0.02), fibro-fatty burden (rho=0.346; P=0.004), and necrotic burden (rho=0.394; P=0.002). A strong relationship between sLOX-1, noncalcified burden (β=0.19; P=0.03), and fibro-fatty burden (β=0.29; P=0.003) was found in fully adjusted models at baseline and 1- and 4-year follow-up. Finally, coronary plaque features progressed over 1 year regardless of biologic or systemic treatment in subjects with high sLOX-1. CONCLUSIONS Patients with psoriasis with both high sLOX-1 and high-sensitivity C-reactive protein levels have increased coronary plaque burden associated with atherosclerotic plaque progression independent of biologic and systemic treatment. Thus, sLOX-1 might be considered as a promising marker in coronary artery disease risk estimation beyond traditional risk factors. REGISTRATION URL: https://www.clinicaltrials.gov; Unique identifier: NCT01778569.
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Affiliation(s)
- Elizabeth M. Florida
- Section of Inflammation and Cardiometabolic DiseasesNational Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMDUSA
| | - Haiou Li
- Section of Inflammation and Cardiometabolic DiseasesNational Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMDUSA
| | - Christin G. Hong
- Section of Inflammation and Cardiometabolic DiseasesNational Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMDUSA
| | - Emily L. Ongstad
- Bioscience Cardiovascular, Research and Early Development, Cardiovascular, Renal, and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZenecaGaithersburgMDUSA
| | - Ranjitha Gaddipati
- Bioscience Cardiovascular, Research and Early Development, Cardiovascular, Renal, and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZenecaGaithersburgMDUSA
| | - Sadichha Sitaula
- Bioscience Cardiovascular, Research and Early Development, Cardiovascular, Renal, and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZenecaGaithersburgMDUSA
| | - Vijayalakshmi Varma
- Translational Science and Experimental Medicine, Research and Early Development, Cardiovascular, Renal, and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZenecaGaithersburgMDUSA
| | - Philip M. Parel
- Section of Inflammation and Cardiometabolic DiseasesNational Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMDUSA
| | - Ross O'Hagan
- Section of Inflammation and Cardiometabolic DiseasesNational Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMDUSA
| | - Marcus Y. Chen
- Section of Inflammation and Cardiometabolic DiseasesNational Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMDUSA
| | - Heather L. Teague
- Section of Inflammation and Cardiometabolic DiseasesNational Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMDUSA
| | - Martin P. Playford
- Section of Inflammation and Cardiometabolic DiseasesNational Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMDUSA
| | - Sotirios K. Karathanasis
- NeoProgenBaltimoreMDUSA
- Section of Lipoprotein Metabolism, Translational Vascular Medicine Branch, National HeartLung and Blood Institute, National Institutes of HealthBethesdaMDUSA
| | - Anna Collén
- Projects, Research and Early Development, Cardiovascular, Renal, and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZenecaGaithersburgMDUSA
| | - Nehal N. Mehta
- Section of Inflammation and Cardiometabolic DiseasesNational Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMDUSA
| | - Alan T. Remaley
- Section of Lipoprotein Metabolism, Translational Vascular Medicine Branch, National HeartLung and Blood Institute, National Institutes of HealthBethesdaMDUSA
| | - Alexander V. Sorokin
- Section of Inflammation and Cardiometabolic DiseasesNational Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMDUSA
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22
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Takechi-Haraya Y, Ohgita T, Usui A, Nishitsuji K, Uchimura K, Abe Y, Kawano R, Konaklieva MI, Reimund M, Remaley AT, Sato Y, Izutsu KI, Saito H. Structural flexibility of apolipoprotein E-derived arginine-rich peptides improves their cell penetration capability. Sci Rep 2023; 13:19396. [PMID: 37938626 PMCID: PMC10632520 DOI: 10.1038/s41598-023-46754-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 11/04/2023] [Indexed: 11/09/2023] Open
Abstract
Amphipathic arginine-rich peptide, A2-17, exhibits moderate perturbation of lipid membranes and the highest cell penetration among its structural isomers. We investigated the direct cell-membrane penetration mechanism of the A2-17 peptide while focusing on structural flexibility. We designed conformationally constrained versions of A2-17, stapled (StpA2-17) and stitched (StchA2-17), whose α-helical conformations were stabilized by chemical crosslinking. Circular dichroism confirmed that StpA2-17 and StchA2-17 had higher α-helix content than A2-17 in aqueous solution. Upon liposome binding, only A2-17 exhibited a coil-to-helix transition. Confocal microscopy revealed that A2-17 had higher cell penetration efficiency than StpA2-17, whereas StchA2-17 remained on the cell membrane without cell penetration. Although the tryptophan fluorescence analysis suggested that A2-17 and its analogs had similar membrane-insertion positions between the interface and hydrophobic core, StchA2-17 exhibited a higher membrane affinity than A2-17 or StpA2-17. Atomic force microscopy demonstrated that A2-17 reduced the mechanical rigidity of liposomes to a greater extent than StpA2-17 and StchA2-17. Finally, electrophysiological analysis showed that A2-17 induced a higher charge influx through transient pores in a planer lipid bilayer than StpA2-17 and StchA2-17. These findings indicate that structural flexibility, which enables diverse conformations of A2-17, leads to a membrane perturbation mode that contributes to cell membrane penetration.
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Affiliation(s)
- Yuki Takechi-Haraya
- Division of Drugs, National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki-ku, Kawasaki, 210-9501, Japan.
| | - Takashi Ohgita
- Center for Instrumental Analysis, Kyoto Pharmaceutical University, 1 Misasagi-Shichono-cho, Yamashina-ku, Kyoto, 607-8412, Japan
| | - Akiko Usui
- Division of Drugs, National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki-ku, Kawasaki, 210-9501, Japan
| | - Kazuchika Nishitsuji
- Department of Biochemistry, Wakayama Medical University, 811-1 Kimiidera, Wakayama, 641-8509, Japan
- Unité de Glycobiologie Structurale et Fonctionnelle, UMR 8576 CNRS, Université de Lille, 59655, Villeneuve d'Ascq, France
| | - Kenji Uchimura
- Unité de Glycobiologie Structurale et Fonctionnelle, UMR 8576 CNRS, Université de Lille, 59655, Villeneuve d'Ascq, France
| | - Yasuhiro Abe
- Division of Drugs, National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki-ku, Kawasaki, 210-9501, Japan
| | - Ryuji Kawano
- Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, 2-24-6 Naka-cho, Koganei, Tokyo, 184-8588, Japan
| | - Monika I Konaklieva
- Department of Chemistry, American University, 4400 Massachusetts Avenue NW, Washington, DC, 20016-8014, USA
| | - Mart Reimund
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Yoji Sato
- Division of Drugs, National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki-ku, Kawasaki, 210-9501, Japan
| | - Ken-Ichi Izutsu
- School of Pharmacy Department of Pharmaceutical Sciences, International University of Health and Welfare, 2600-1 Kitakanemaru, Otawara, Tochigi, 324-8501, Japan
| | - Hiroyuki Saito
- Department of Biophysical Chemistry, Kyoto Pharmaceutical University, 5 Misasagi-Nakauchi-cho, Yamashina-ku, Kyoto, 607-8414, Japan
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He Y, Pavanello C, Hutchins PM, Tang C, Pourmousa M, Vaisar T, Song HD, Pastor RW, Remaley AT, Goldberg IJ, Costacou T, Davidson WS, Bornfeldt KE, Calabresi L, Segrest JP, Heinecke JW. Flipped C-Terminal Ends of APOA1 Promote ABCA1-dependent Cholesterol Efflux by Small HDLs. medRxiv 2023:2023.11.03.23297986. [PMID: 37961344 PMCID: PMC10635269 DOI: 10.1101/2023.11.03.23297986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Background Cholesterol efflux capacity (CEC) predicts cardiovascular disease (CVD) independently of HDL cholesterol (HDL-C) levels. Isolated small HDL particles are potent promoters of macrophage CEC by the ABCA1 pathway, but the underlying mechanisms are unclear. Methods We used model system studies of reconstituted HDL and plasma from control and lecithin-cholesterol acyltransferase (LCAT)-deficient subjects to investigate the relationships among the sizes of HDL particles, the structure of APOA1 in the different particles, and the CECs of plasma and isolated HDLs. Results We quantified macrophage and ABCA1 CEC of four distinct sizes of reconstituted HDL (r-HDL). CEC increased as particle size decreased. MS/MS analysis of chemically crosslinked peptides and molecular dynamics simulations of APOA1 (HDL's major protein) indicated that the mobility of that protein's C-terminus was markedly higher and flipped off the surface in the smallest particles. To explore the physiological relevance of the model system studies, we isolated HDL from LCAT-deficient subjects, whose small HDLs-like r-HDLs-are discoidal and composed of APOA1, cholesterol, and phospholipid. Despite their very low plasma levels of HDL particles, these subjects had normal CEC. In both the LCAT-deficient subjects and control subjects, the CEC of isolated extra-small HDL (a mixture of extra-small and small HDL by calibrated ion mobility analysis) was 3-5-fold greater than that of the larger sizes of isolated HDL. Incubating LCAT-deficient plasma and control plasma with human LCAT converted extra-small and small HDL particles into larger particles, and it markedly inhibited CEC. Conclusions We present a mechanism for the enhanced CEC of small HDLs. In smaller particles, the C-termini of the two antiparallel molecules of APOA1 are flipped off the lipid surface of HDL. This extended conformation allows them to engage with ABCA1. In contrast, the C-termini of larger HDLs are unable to interact productively with ABCA1 because they form a helical bundle that strongly adheres to the lipid on the particle. Enhanced CEC, as seen with the smaller particles, predicts decreased CVD risk. Thus, extra-small and small HDLs may be key mediators and indicators of HDL's cardioprotective effects.
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Affiliation(s)
- Yi He
- Department of Medicine, University of Washington, Seattle, WA, 98109, USA
| | - Chiara Pavanello
- Centro Grossi Paoletti, Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milano, Italy
| | - Patrick M Hutchins
- Department of Medicine, University of Washington, Seattle, WA, 98109, USA
| | - Chongren Tang
- Department of Medicine, University of Washington, Seattle, WA, 98109, USA
| | - Mohsen Pourmousa
- Laboratory of Computational Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892
| | - Tomas Vaisar
- Department of Medicine, University of Washington, Seattle, WA, 98109, USA
| | - Hyun D Song
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, 37240, USA
| | - Richard W Pastor
- Laboratory of Computational Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892
| | - Alan T Remaley
- Department of Laboratory Medicine, National Institutes of Health, Bethesda, MD 20892
| | - Ira J Goldberg
- Department of Medicine, New York University, New York, NY, 10016, USA
| | - Tina Costacou
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - W Sean Davidson
- Department of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, 45237, USA
| | - Karin E Bornfeldt
- Department of Medicine, University of Washington, Seattle, WA, 98109, USA
| | - Laura Calabresi
- Centro Grossi Paoletti, Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milano, Italy
| | - Jere P Segrest
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, 37240, USA
| | - Jay W Heinecke
- Department of Medicine, University of Washington, Seattle, WA, 98109, USA
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Ortiz-Whittingham LR, Baumer Y, Pang APS, Sampson M, Baez AS, Rose RR, Noonan SH, Mendez-Silva J, Collins BS, Mitchell VM, Cintron MA, Farmer N, Remaley AT, Corley MJ, Powell-Wiley TM. Associations between neighborhood socioeconomic deprivation, IFNγ, and high-density lipoprotein particle size: Data from the Washington, D.C. cardiovascular health and needs assessment. Psychoneuroendocrinology 2023; 157:106346. [PMID: 37651859 PMCID: PMC10543547 DOI: 10.1016/j.psyneuen.2023.106346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 06/15/2023] [Accepted: 07/28/2023] [Indexed: 09/02/2023]
Abstract
INTRODUCTION Neighborhood socioeconomic deprivation is associated with increased cardiovascular risk factors, including inflammation. Inflammation plays an important role in modifying the cardioprotective function of high-density lipoprotein (HDL). Moreover, recent studies suggest that very high HDL is associated with adverse cardiovascular disease (CVD) outcomes. Thus, we sought to explore the relationships between neighborhood socioeconomic deprivation as a marker of chronic stress, inflammation, proprotein convertase subtilisin/kexin type 9 (PCSK9) (a core component of the HDL proteome), HDL characterisitcs, and biological aging as a predictor of CVD and all-cause mortality. METHODS Sixty African American subjects were recruited to the NIH Clinical Center as part of a community-based participatory research-designed observational study. Neighborhood deprivation index (NDI), a marker of neighborhood socioeconomic deprivation, was measured using US Census data. HDL characteristics (cholesterol, particle number, size, subspecies) were determined from NMR lipoprotein profiling, and plasma cytokines (IL-1β, IL-6, IL-8, TNFα, IFNγ) were measured using an ELISA-based multiplex technique. Epigenetic clock biomarkers of aging were measured using DNA methylation data obtained from participants' buffy coat samples. We used linear regression modeling adjusted for atherosclerotic cardiovascular disease (ASCVD) risk score, body mass index (BMI), and lipid-lowering medication use to investigate relationships of interest. RESULTS NDI directly associated with large HDL particle count (H7P) and IFNγ and trended toward significance with HDL-C and PCSK9. IFNγ and PCSK9 then directly associated with H7P. H7P also directly associated with higher DNA methylation phenotypic age (PhenoAge). CONCLUSION We highlight associations between neighborhood socioeconomic deprivation, IFNγ, PCSK9, HDL subspecies, and epigenetic biomarkers of aging. Taken together, our findings suggest indirect pathways linking neighborhood deprivation-related stress and inflammation to HDL and immune epigenetic changes. Moreover, these results add to recent work showing the pathogenicity of high HDL levels and underscore the need to understand how chronic stress-related inflammation and lipoprotein subspecies relate to CVD risk across diverse populations.
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Affiliation(s)
- Lola R Ortiz-Whittingham
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Yvonne Baumer
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Alina P S Pang
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, United States
| | - Maureen Sampson
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, United States
| | - Andrew S Baez
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Rebecca R Rose
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Sarah H Noonan
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Joanna Mendez-Silva
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Billy S Collins
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Valerie M Mitchell
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Manuel A Cintron
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Nicole Farmer
- Translational Biobehavioral and Health Disparities Branch, National Institutes of Health Clinical Center, Bethesda, MD, United States
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States
| | - Michael J Corley
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY, United States
| | - Tiffany M Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, United States; Intramural Research Program, National Institutes on Minority Health and Health Disparities (NIMHD), National Institutes of Health, Bethesda, MD, United States.
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Sorokin AV, Hong CG, Aponte AM, Florida EM, Tang J, Patel N, Baranova IN, Li H, Parel PM, Chen V, Wilson SR, Ongstad EL, Collén A, Playford MP, Eggerman TL, Chen MY, Kotani K, Bocharov AV, Remaley AT. Association of oxidized ApoB and oxidized ApoA-I with high-risk coronary plaque features in cardiovascular disease. JCI Insight 2023; 8:e172893. [PMID: 37698922 PMCID: PMC10619497 DOI: 10.1172/jci.insight.172893] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 09/05/2023] [Indexed: 09/14/2023] Open
Abstract
BACKGROUND Oxidized apolipoprotein B (oxLDL) and oxidized ApoA-I (oxHDL) are proatherogenic. Their prognostic value for assessing high-risk plaques by coronary computed tomography angiography (CCTA) is missing. METHODS In a prospective, observational study, 306 participants with cardiovascular disease (CVD) had extensive lipoprotein profiling. Proteomics analysis was performed on isolated oxHDL, and atherosclerotic plaque assessment was accomplished by quantitative CCTA. RESULTS Patients were predominantly White, overweight men (58.5%) on statin therapy (43.5%). Increase in LDL-C, ApoB, small dense LDL-C (P < 0.001 for all), triglycerides (P = 0.03), and lower HDL function were observed in the high oxLDL group. High oxLDL associated with necrotic burden (NB; β = 0.20; P < 0.0001) and fibrofatty burden (FFB; β = 0.15; P = 0.001) after multivariate adjustment. Low oxHDL had a significant reverse association with these plaque characteristics. Plasma oxHDL levels better predicted NB and FFB after adjustment (OR, 2.22; 95% CI, 1.27-3.88, and OR, 2.80; 95% CI, 1.71-4.58) compared with oxLDL and HDL-C. Interestingly, oxHDL associated with fibrous burden (FB) change over 3.3 years (β = 0.535; P = 0.033) when compared with oxLDL. Combined Met136 mono-oxidation and Trp132 dioxidation of HDL showed evident association with coronary artery calcium score (r = 0.786; P < 0.001) and FB (r = 0.539; P = 0.012) in high oxHDL, whereas Met136 mono-oxidation significantly associated with vulnerable plaque in low oxHDL. CONCLUSION Our findings suggest that the investigated oxidized lipids are associated with high-risk coronary plaque features and progression over time in patients with CVD. TRIAL REGISTRATION CLINICALTRIALS gov NCT01621594. FUNDING National Heart, Lung, and Blood Institute at the NIH Intramural Research Program.
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Affiliation(s)
| | - Christin G. Hong
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch
| | | | | | - Jingrong Tang
- Section of Lipoprotein Metabolism, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA
| | - Nidhi Patel
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch
| | - Irina N. Baranova
- Department of Laboratory Medicine, Clinical Center, NIH, Bethesda, Maryland, USA
| | - Haiou Li
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch
| | - Philip M. Parel
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch
| | - Vicky Chen
- Bioinformatics/Integrated Data Sciences Section, Research Technology Branch, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Sierra R. Wilson
- Section of Lipoprotein Metabolism, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA
| | | | - Anna Collén
- Projects, Research and Early Development, Cardiovascular, Renal, and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland, USA
| | - Martin P. Playford
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch
| | - Thomas L. Eggerman
- Department of Laboratory Medicine, Clinical Center, NIH, Bethesda, Maryland, USA
| | - Marcus Y. Chen
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch
| | - Kazuhiko Kotani
- Division of Community and Family Medicine, Jichi Medical University, Shimotsuke, Tochigi, Japan
| | | | - Alan T. Remaley
- Section of Lipoprotein Metabolism, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, Maryland, USA
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26
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Cole J, Sampson M, van Deventer HE, Remaley AT. Reducing Lipid Panel Error Allowances to Improve the Accuracy of Cardiovascular Risk Stratification. Clin Chem 2023; 69:1145-1154. [PMID: 37624942 DOI: 10.1093/clinchem/hvad109] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 06/26/2023] [Indexed: 08/27/2023]
Abstract
BACKGROUND The standard lipid panel forms the backbone of atherosclerotic cardiovascular disease risk assessment. Suboptimal analytical performance, along with biological variability, could lead to erroneous risk assessment and management decisions. The current National Cholesterol Education Program (NCEP) performance recommendations have remained unchanged for almost 3 decades despite improvements in assay technology. We investigated the potential extent of risk misclassification when the current recommendations are met and explored the impact of improving analytical performance goals. METHODS We extracted lipid panel data for 8506 individuals from the NHANES database and used these to classify subjects into 4 risk groups as recommended by the 2018 US Multisociety guidelines. Analytical bias and imprecision, at the allowable limits, as well as biological variability, were introduced to the measured values to determine the impact on misclassification. Bias and imprecision were systematically reduced to determine the degree of improvement that may be achieved. RESULTS Using the current performance recommendations, up to 10% of individuals were misclassified into a different risk group. Improving proportional bias by 1%, and fixing imprecision to 3% across all assays reduced misclassifications by up to 10%. The effect of biological variability can be reduced by taking the average of serial sample measurements. CONCLUSIONS The current NCEP recommendations for analytical performance of lipid panel assays allow for an unacceptable degree of misclassification, leading to possible mismanagement of cardiovascular disease risk. Iteratively reducing allowable error can improve this.
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Affiliation(s)
- Justine Cole
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, United States
| | - Maureen Sampson
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, United States
| | | | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
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Fowler A, Van Rompay KKA, Sampson M, Leo J, Watanabe JK, Usachenko JL, Immareddy R, Lovato DM, Schiller JT, Remaley AT, Chackerian B. A virus-like particle-based bivalent PCSK9 vaccine lowers LDL-cholesterol levels in non-human primates. NPJ Vaccines 2023; 8:142. [PMID: 37770440 PMCID: PMC10539315 DOI: 10.1038/s41541-023-00743-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 09/15/2023] [Indexed: 09/30/2023] Open
Abstract
Elevated low-density lipoprotein cholesterol (LDL-C) is an important risk factor in the development of atherosclerotic cardiovascular disease (ASCVD). Inhibitors of proprotein convertase subtilisin/kexin type 9 (PCSK9), a negative regulator of LDL-C metabolism, have emerged as promising approaches for reducing elevated LDL-C levels. Here, we evaluated the cholesterol-lowering efficacy of virus-like particle (VLP) based vaccines that target epitopes found within the LDL receptor (LDL-R) binding domain of PCSK9. In both mice and non-human primates, a bivalent VLP vaccine targeting two distinct epitopes on PCSK9 elicited strong and durable antibody responses and lowered cholesterol levels. In macaques, a VLP vaccine targeting a single PCSK9 epitope was only effective at lowering LDL-C levels in combination with statins, whereas immunization with the bivalent vaccine lowered LDL-C without requiring statin co-administration. These data highlight the efficacy of an alternative, vaccine-based approach for lowering LDL-C.
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Affiliation(s)
- Alexandra Fowler
- Department of Molecular Genetics and Microbiology, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Koen K A Van Rompay
- California National Primate Research Center, University of California, Davis, CA, USA
| | - Maureen Sampson
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Javier Leo
- Department of Molecular Genetics and Microbiology, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Jennifer K Watanabe
- California National Primate Research Center, University of California, Davis, CA, USA
| | - Jodie L Usachenko
- California National Primate Research Center, University of California, Davis, CA, USA
| | - Ramya Immareddy
- California National Primate Research Center, University of California, Davis, CA, USA
| | - Debbie M Lovato
- Clinical and Translational Research Center, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - John T Schiller
- Laboratory of Cellular Oncology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Bryce Chackerian
- Department of Molecular Genetics and Microbiology, University of New Mexico School of Medicine, Albuquerque, NM, USA.
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28
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Ahsan L, Zheng WQ, Kaur G, Kadakuntla A, Remaley AT, Sampson M, Feustel P, Nappi A, Mookherjee S, Lyubarova R. Association of Lipoprotein Subfractions With Presence and Severity of Coronary Artery Disease in Patients Referred for Coronary Angiography. Am J Cardiol 2023; 203:212-218. [PMID: 37499601 DOI: 10.1016/j.amjcard.2023.06.107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 06/13/2023] [Accepted: 06/29/2023] [Indexed: 07/29/2023]
Abstract
Lipoprotein subfractions (LS) can be used for better risk stratification in subjects deemed not at high risk for coronary artery disease (CAD). In this study, we evaluated the correlation between LS with CAD presence and severity. This is a prospective case-control study of 157 patients referred for coronary angiography who were not on lipid-lowering therapy and had LS measured by nuclear magnetic resonance spectroscopy. Synergy between PCI with Taxus and Cardiac Surgery (SYNTAX) scores were calculated to estimate CAD severity. Univariate and multivariable regression analysis was performed to determine correlation of LS with CAD presence and severity and acute coronary syndrome (ACS). There was significant association of certain LS (positive for total low-density lipoprotein particle [LDL-P], small LDL-P and apolipoprotein B, negative for large high-density lipoprotein particle [HDL-P] and apolipoprotein A1 [ApoA1]) with the presence of obstructive CAD and CAD severity. Small LDL-P and HDL-P were still predictive for obstructive CAD after adjusting for traditional risk factors, 10-year atherosclerotic cardiovascular disease risk score and in those with low-density lipoprotein cholesterol <100 mg/100 ml. Total LDL-P and ApoA1 were predictive of CAD severity on multivariable analysis. Higher small LDL-P and lower large HDL-P were associated with ACS presence, although only large HDL-P had a significant inverse correlation with ACS on adjusted analysis (odds ratio 0.74 95% confidence interval 0.58, 0.95) In conclusion, in our cohort of patients referred for coronary angiography, total LDL-P, small LDL-P, and apolipoprotein B had significant direct correlation, and large HDL-P and ApoA1 had significant inverse correlation with obstructive CAD and CAD severity.
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Affiliation(s)
- Lusana Ahsan
- Department of Medicine, Albany Medical College, Albany, New York
| | - Wen Qian Zheng
- Department of Medicine, Albany Medical College, Albany, New York
| | - Gurleen Kaur
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, National Heart, Lung and Blood Institute, National Institute of Health, Bethesda, Maryland
| | - Maureen Sampson
- Department Laboratory Medicine, Clinical Center, National Institute of Health, Bethesda, Maryland
| | - Paul Feustel
- Department of Medicine, Albany Medical College, Albany, New York
| | - Anthony Nappi
- Department of Medicine, Albany Medical College, Albany, New York
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Sato M, Neufeld EB, Playford MP, Lei Y, Sorokin AV, Aponte AM, Freeman LA, Gordon SM, Dey AK, Jeiran K, Hamasaki M, Sampson ML, Shamburek RD, Tang J, Chen MY, Kotani K, Anderson JL, Dullaart RP, Mehta NN, Tietge UJ, Remaley AT. Cell-free, high-density lipoprotein-specific phospholipid efflux assay predicts incident cardiovascular disease. J Clin Invest 2023; 133:e165370. [PMID: 37471145 PMCID: PMC10503808 DOI: 10.1172/jci165370] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 07/18/2023] [Indexed: 07/22/2023] Open
Abstract
BACKGROUNDCellular cholesterol efflux capacity (CEC) is a better predictor of cardiovascular disease (CVD) events than HDL-cholesterol (HDL-C) but is not suitable as a routine clinical assay.METHODSWe developed an HDL-specific phospholipid efflux (HDL-SPE) assay to assess HDL functionality based on whole plasma HDL apolipoprotein-mediated solubilization of fluorescent phosphatidylethanolamine from artificial lipid donor particles. We first assessed the association of HDL-SPE with prevalent coronary artery disease (CAD): study I included NIH severe-CAD (n = 50) and non-CAD (n = 50) participants, who were frequency matched for sex, BMI, type 2 diabetes mellitus, and smoking; study II included Japanese CAD (n = 70) and non-CAD (n = 154) participants. We also examined the association of HDL-SPE with incident CVD events in the Prevention of Renal and Vascular End-stage Disease (PREVEND) study comparing 340 patients with 340 controls individually matched for age, sex, smoking, and HDL-C levels.RESULTSReceiver operating characteristic curves revealed stronger associations of HDL-SPE with prevalent CAD. The AUCs in study I were as follows: HDL-SPE, 0.68; apolipoprotein A-I (apoA-I), 0.62; HDL-C, 0.63; and CEC, 0.52. The AUCs in study II were as follows: HDL-SPE, 0.83; apoA-I, 0.64; and HDL-C, 0.53. Also longitudinally, HDL-SPE was significantly associated with incident CVD events independent of traditional risk factors with ORs below 0.2 per SD increment in the PREVEND study (P < 0.001).CONCLUSIONHDL-SPE could serve as a routine clinical assay for improving CVD risk assessment and drug discovery.TRIAL REGISTRATIONClinicalTrials.gov NCT01621594.FUNDINGNHLBI Intramural Research Program, NIH (HL006095-06).
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Affiliation(s)
- Masaki Sato
- Lipoprotein Metabolism Laboratory, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA
- Division of Community and Family Medicine and Department of Clinical Laboratory Medicine, Jichi Medical University, Shimotsuke-City, Tochigi, Japan
- Biochemical Research Laboratory II, Eiken Chemical Co., Ltd., Shimotsuga-gun, Tochigi, Japan
| | - Edward B. Neufeld
- Lipoprotein Metabolism Laboratory, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA
| | - Martin P. Playford
- Section of Inflammation and Cardiometabolic Diseases, NHLBI, NIH, Bethesda, Maryland, USA
| | - Yu Lei
- Division of Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden
| | - Alexander V. Sorokin
- Lipoprotein Metabolism Laboratory, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA
- Section of Inflammation and Cardiometabolic Diseases, NHLBI, NIH, Bethesda, Maryland, USA
| | - Angel M. Aponte
- Proteomics Core Facility, NHLBI, NIH, Bethesda, Maryland, USA
| | - Lita A. Freeman
- Lipoprotein Metabolism Laboratory, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA
| | - Scott M. Gordon
- Saha Cardiovascular Research Center and Department of Physiology, University of Kentucky, Lexington, Kentucky, USA
| | - Amit K. Dey
- Section of Inflammation and Cardiometabolic Diseases, NHLBI, NIH, Bethesda, Maryland, USA
| | - Kianoush Jeiran
- Lipoprotein Metabolism Laboratory, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA
| | - Masato Hamasaki
- Division of Community and Family Medicine and Department of Clinical Laboratory Medicine, Jichi Medical University, Shimotsuke-City, Tochigi, Japan
- Biochemical Research Laboratory II, Eiken Chemical Co., Ltd., Shimotsuga-gun, Tochigi, Japan
| | | | - Robert D. Shamburek
- Lipoprotein Metabolism Laboratory, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA
| | - Jingrong Tang
- Lipoprotein Metabolism Laboratory, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA
| | - Marcus Y. Chen
- Laboratory of Cardiovascular CT, NHLBI, NIH, Bethesda, Maryland, USA
| | - Kazuhiko Kotani
- Division of Community and Family Medicine and Department of Clinical Laboratory Medicine, Jichi Medical University, Shimotsuke-City, Tochigi, Japan
| | - Josephine L.C. Anderson
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Robin P.F. Dullaart
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Nehal N. Mehta
- Section of Inflammation and Cardiometabolic Diseases, NHLBI, NIH, Bethesda, Maryland, USA
| | - Uwe J.F. Tietge
- Division of Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden
- Clinical Chemistry, Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden
| | - Alan T. Remaley
- Lipoprotein Metabolism Laboratory, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA
- The NIH Clinical Center and
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Moser ED, Manemann SM, Larson NB, St Sauver JL, Takahashi PY, Mielke MM, Rocca WA, Olson JE, Roger VL, Remaley AT, Decker PA, Killian JM, Bielinski SJ. Association Between Fluctuations in Blood Lipid Levels Over Time With Incident Alzheimer Disease and Alzheimer Disease-Related Dementias. Neurology 2023; 101:e1127-e1136. [PMID: 37407257 PMCID: PMC10513892 DOI: 10.1212/wnl.0000000000207595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 05/12/2023] [Indexed: 07/07/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Prevention strategies for Alzheimer disease and Alzheimer disease-related dementias (AD/ADRDs) are urgently needed. Lipid variability, or fluctuations in blood lipid levels at different points in time, has not been examined extensively and may contribute to the risk of AD/ADRD. Lipid panels are a part of routine screening in clinical practice and routinely available in electronic health records (EHR). Thus, in a large geographically defined population-based cohort, we investigated the variation of multiple lipid types and their association to the development of AD/ADRD. METHODS All residents living in Olmsted County, Minnesota on the index date January 1, 2006, aged 60 years or older without an AD/ADRD diagnosis were identified. Persons with ≥3 lipid measurements including total cholesterol, triglycerides, low-density lipoprotein cholesterol (LDL-C), or high-density lipoprotein cholesterol (HDL-C) in the 5 years before index date were included. Lipid variation was defined as any change in individual's lipid levels over time regardless of direction and was measured using variability independent of the mean (VIM). Associations between lipid variation quintiles and incident AD/ADRD were assessed using Cox proportional hazards regression. Participants were followed through 2018 for incident AD/ADRD. RESULTS The final analysis included 11,571 participants (mean age 71 years; 54% female). Median follow-up was 12.9 years with 2,473 incident AD/ADRD cases. After adjustment for confounding variables including sex, race, baseline lipid measurements, education, BMI, and lipid-lowering treatment, participants in the highest quintile of total cholesterol variability had a 19% increased risk of incident AD/ADRD, and those in highest quintile of triglycerides, variability had a 23% increased risk. DISCUSSION In a large EHR derived cohort, those in the highest quintile of variability for total cholesterol and triglyceride levels had an increased risk of incident AD/ADRD. Further studies to identify the mechanisms behind this association are needed.
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Affiliation(s)
- Ethan D Moser
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Sheila M Manemann
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Nicholas B Larson
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Jennifer L St Sauver
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Paul Y Takahashi
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Michelle M Mielke
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Walter A Rocca
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Janet E Olson
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Véronique L Roger
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Alan T Remaley
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Paul A Decker
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Jill M Killian
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Suzette J Bielinski
- From the Department of Quantitative Health Sciences (E.D.M., S.M.M., N.B.L., J.L.S.S., M.M.M., W.A.R., J.E.O., V.L.R., P.A.D., J.M.K., S.J.B.); Division of Community Internal Medicine (P.Y.T.), Department of Medicine, Mayo Clinic; Department of Neurology (M.M.M., W.A.R.), Rochester, MN; Department of Epidemiology and Prevention (M.M.M.), Wake Forest University School of Medicine, Winston-Salem, NC; Mayo Clinic Women's Health Research Center (W.A.R.); Department of Cardiovascular Medicine (V.L.R.), Mayo Clinic, Rochester, MN; Epidemiology and Community Branch (V.L.R.), National Heart, Lung, and Blood Institute, National Institutes of Health; and Lipoprotein Metabolism Laboratory (A.T.R.), Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
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Cole J, Zubirán R, Wolska A, Jialal I, Remaley AT. Use of Apolipoprotein B in the Era of Precision Medicine: Time for a Paradigm Change? J Clin Med 2023; 12:5737. [PMID: 37685804 PMCID: PMC10488498 DOI: 10.3390/jcm12175737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 08/28/2023] [Accepted: 08/29/2023] [Indexed: 09/10/2023] Open
Abstract
Atherosclerotic cardiovascular disease (ASCVD) remains the leading cause of death worldwide and the risk of a major cardiovascular event is highest among those with established disease. Ongoing management of these patients relies on the accurate assessment of their response to any prescribed therapy, and their residual risk, in order to optimize treatment. Recent international guidelines and position statements concur that the plasma concentration of apolipoprotein B (apoB) is the most accurate measure of lipoprotein associated ASCVD risk. This is especially true for the growing number of individuals with diabetes, obesity, or the metabolic syndrome, and those on statin therapy. Most guidelines, however, continue to promote LDL-C as the primary risk marker due to uncertainty as to whether the greater accuracy of apoB is sufficient to warrant a paradigm shift. Recommendations regarding apoB measurement vary, and the information provided on how to interpret apoB results is sometimes insufficient, particularly for non-lipid specialists. Misinformation regarding the reliability of the assays is also frequently repeated despite its equivalent or better standardization than many other diagnostic assays. Thus, demand for apoB testing is relatively low, which means there is little incentive to increase its availability or reduce its cost. In this review, we examine the results of recent clinical outcomes studies and meta-analyses on the relative values of apoB, LDL-C, and non-HDL-C as markers of ASCVD risk. Although there is seemingly minimal difference among these markers when only population-based metrics are considered, it is evident from our analysis that, from a personalized or precision medicine standpoint, many individuals would benefit, at a negligible total cost, if apoB measurement were better integrated into the diagnosis and treatment of ASCVD.
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Affiliation(s)
- Justine Cole
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20814, USA; (R.Z.); (A.W.); (A.T.R.)
| | - Rafael Zubirán
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20814, USA; (R.Z.); (A.W.); (A.T.R.)
| | - Anna Wolska
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20814, USA; (R.Z.); (A.W.); (A.T.R.)
| | - Ishwarlal Jialal
- Department of Pathology and Internal Medicine, University of California-Davis, Sacramento, CA 95817, USA;
| | - Alan T. Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20814, USA; (R.Z.); (A.W.); (A.T.R.)
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Sun L, Wolska A, Amar M, Zubirán R, Remaley AT. Approach to the Patient With a Suboptimal Statin Response: Causes and Algorithm for Clinical Management. J Clin Endocrinol Metab 2023; 108:2424-2434. [PMID: 36929838 PMCID: PMC10438872 DOI: 10.1210/clinem/dgad153] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 02/27/2023] [Accepted: 03/15/2023] [Indexed: 03/18/2023]
Abstract
CONTEXT Statins are the lipid-lowering therapy of choice for the prevention of atherosclerotic cardiovascular disease (ASCVD) but their effectiveness in lowering low-density lipoprotein cholesterol (LDL-C) can substantially differ between individuals. In this mini-review, we describe the different causes for a suboptimal statin response and an algorithm for the diagnosis and clinical management of these patients. EVIDENCE ACQUISITION A PubMed search using the terms "statin resistance," "statin sensitivity," "statin pharmacokinetics," "cardiovascular disease," and "lipid-lowering therapies" was performed. Published papers in the past 10 years that were relevant to the topic were examined to provide content for this mini-review. EVIDENCE SYNTHESIS Suboptimal lowering of LDL-C by statins is a major problem in the clinical management of patients and limits the value of this therapeutic approach. There are multiple causes of statin hyporesponsiveness with compliance being the most common explanation. Other causes, such as analytical issues with LDL-C measurement and the presence of common lipid disorders (familial hypercholesterolemia, elevated lipoprotein[a] and secondary dyslipidemias) should be excluded before considering primary statin resistance from rare genetic variants in lipoprotein-related or drug-metabolism genes. A wide variety of nonstatin lipid-lowering drugs are now available and can be added to statins to achieve more effective LDL-C lowering. CONCLUSIONS The evaluation of statin hyporesponsiveness is a multistep process that can lead to the optimization of lipid-lowering therapy for the prevention of ASCVD. It may also lead to the identification of distinct types of dyslipidemias that require specific therapies and/or the genetic screening of family members.
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Affiliation(s)
- Lufan Sun
- Department of Cardiology, The First Hospital of China Medical University, Shenyang 110001, China
| | - Anna Wolska
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Marcelo Amar
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Rafael Zubirán
- Departamento de Endocrinología y Metabolismo de Lípidos, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
- Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City 14080, Mexico
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
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Sviridov D, Dasseux A, Reimund M, Pryor M, Drake SK, Jarin Z, Wolska A, Pastor RW, Remaley AT. Short hydrocarbon stapled ApoC2-mimetic peptides activate lipoprotein lipase and lower plasma triglycerides in mice. Front Cardiovasc Med 2023; 10:1223920. [PMID: 37547254 PMCID: PMC10403075 DOI: 10.3389/fcvm.2023.1223920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 07/11/2023] [Indexed: 08/08/2023] Open
Abstract
Introduction Defects in lipolysis can lead to hypertriglyceridemia, which can trigger acute pancreatitis and is also associated with cardiovascular disease. Decreasing plasma triglycerides (TGs) by activating lipoprotein lipase (LPL) with ApoC2 mimetic peptides is a new treatment strategy for hypertriglyceridemia. We recently described a dual ApoC2 mimetic/ApoC3 antagonist peptide called D6PV that effectively lowered TG in several mouse models but has limitations in terms of drug development. The aim of this study was to create the next generation of ApoC2 mimetic peptides. Methods We employed hydrocarbon staples, as well as select amino acid substitutions, to make short single helical mimetic peptides based on the last helix of ApoC2. Peptides were first tested for their ability to activate LPL and then in hypertriglyceridemia mouse models. All-atom simulations of peptides were performed in a lipid-trilayer model of TG-rich lipoproteins to discern their possible mechanism of action. Results We designed a single stapled peptide called SP1 (21 residues), and a double stapled (stitched) peptide called SP2 (21 residues) and its N-terminal acylated analogue, SP2a. The hydrocarbon staples increased the amphipathicity of the peptides and their ability to bind lipids without interfering with LPL activation. Indeed, from all-atom simulations, the conformations of SP1 and SP2a are restrained by the staples and maintains the proper orientation of the LPL activation motif, while still allowing their deeper insertion into the lipid-trilayer model. Intraperitoneal injection of stapled peptides (1-5 umoles/kg) into ApoC2-hypomorphic mice or human ApoC3-transgenic resulted in an 80%-90% reduction in plasma TG within 3 h, similar to the much longer D6PV peptide (41 residues). Other modifications (replacement L-Glu20, L-Glu21 with their D-isomers, N-methylation of Gly19, Met2NorLeu and Ala1alpha-methylAla substitutions, N-terminal octanoylation) were introduced into the SP2a peptide. These changes made SP2a highly resistant to proteolysis against trypsin, pepsin, and Proteinase K, while maintaining similar efficacy in lowering plasma TG in mice. Conclusion We describe a new generation of ApoC2 mimetic peptides based on hydron carbon stapling that are at least equally potent to earlier peptides but are much shorter and resistant to proteolysis and could be further developed into a new therapy for hypertriglyceridemia.
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Affiliation(s)
- Denis Sviridov
- Laboratory of Lipoprotein Metabolism, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Amaury Dasseux
- Laboratory of Lipoprotein Metabolism, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Mart Reimund
- Laboratory of Lipoprotein Metabolism, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Milton Pryor
- Laboratory of Lipoprotein Metabolism, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Steven K. Drake
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Zack Jarin
- Laboratory of Computational Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Anna Wolska
- Laboratory of Lipoprotein Metabolism, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Richard W. Pastor
- Laboratory of Computational Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Alan T. Remaley
- Laboratory of Lipoprotein Metabolism, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
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Kikuchi H, Chou CL, Yang CR, Chen L, Jung HJ, Park E, Limbutara K, Carter B, Yang ZH, Kun JF, Remaley AT, Knepper MA. Signaling mechanisms in renal compensatory hypertrophy revealed by multi-omics. Nat Commun 2023; 14:3481. [PMID: 37328470 PMCID: PMC10276015 DOI: 10.1038/s41467-023-38958-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 05/24/2023] [Indexed: 06/18/2023] Open
Abstract
Loss of a kidney results in compensatory growth of the remaining kidney, a phenomenon of considerable clinical importance. However, the mechanisms involved are largely unknown. Here, we use a multi-omic approach in a unilateral nephrectomy model in male mice to identify signaling processes associated with renal compensatory hypertrophy, demonstrating that the lipid-activated transcription factor peroxisome proliferator-activated receptor alpha (PPARα) is an important determinant of proximal tubule cell size and is a likely mediator of compensatory proximal tubule hypertrophy.
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Affiliation(s)
- Hiroaki Kikuchi
- Epithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Chung-Lin Chou
- Epithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Chin-Rang Yang
- Epithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lihe Chen
- Epithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hyun Jun Jung
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Euijung Park
- Epithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kavee Limbutara
- The Center of Excellence in Systems Biology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Benjamin Carter
- Laboratory of Epigenome Biology, Systems Biology Center, National Heart, Lung and Blood Institute, NIH, Bethesda, MD, USA
| | - Zhi-Hong Yang
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Julia F Kun
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alan T Remaley
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mark A Knepper
- Epithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
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Fowler A, Van Rompay KKA, Sampson M, Leo J, Watanabe JK, Usachenko JL, Immareddy R, Lovato DM, Schiller JT, Remaley AT, Chackerian B. A Virus-like particle-based bivalent PCSK9 vaccine lowers LDL-cholesterol levels in Non-Human Primates. bioRxiv 2023:2023.05.15.540560. [PMID: 37292981 PMCID: PMC10245564 DOI: 10.1101/2023.05.15.540560] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Elevated low-density lipoprotein cholesterol (LDL-C) is an important risk factor in the development of atherosclerotic cardiovascular disease (ASCVD). Inhibitors of proprotein convertase subtilisin/kexin type 9 (PCSK9), a negative regulator of LDL-C metabolism, have emerged as promising approaches for reducing elevated LDL-C levels. Here, we evaluated the cholesterol lowering efficacy of virus-like particle (VLP) based vaccines that target epitopes found within the LDL receptor (LDL-R) binding domain of PCSK9. In both mice and non-human primates, a bivalent VLP vaccine targeting two distinct epitopes on PCSK9 elicited strong and durable antibody responses and lowered cholesterol levels. In macaques, a VLP vaccine targeting a single PCSK9 epitope was only effective at lowering LDL-C levels in combination with statins, whereas immunization with the bivalent vaccine lowered LDL-C without requiring statin co-administration. These data highlight the efficacy of an alternative, vaccine-based approach for lowering LDL-C.
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Affiliation(s)
- Alexandra Fowler
- Department of Molecular Genetics and Microbiology, University of New Mexico School of Medicine, Albuquerque, NM USA
| | - Koen K. A. Van Rompay
- California National Primate Research Center, University of California, Davis, CA USA
| | - Maureen Sampson
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD USA
| | - Javier Leo
- Department of Molecular Genetics and Microbiology, University of New Mexico School of Medicine, Albuquerque, NM USA
| | - Jennifer K. Watanabe
- California National Primate Research Center, University of California, Davis, CA USA
| | - Jodie L. Usachenko
- California National Primate Research Center, University of California, Davis, CA USA
| | - Ramya Immareddy
- California National Primate Research Center, University of California, Davis, CA USA
| | - Debbie M. Lovato
- Clinical and Translational Research Center, University of New Mexico Health Sciences Center, Albuquerque, NM USA
| | - John T. Schiller
- Laboratory of Cellular Oncology, Center for Cancer Research, National Cancer Institute, Bethesda, MD USA
| | - Alan T. Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD USA
| | - Bryce Chackerian
- Department of Molecular Genetics and Microbiology, University of New Mexico School of Medicine, Albuquerque, NM USA
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Dasseux A, Remaley AT. Can Bad HDL (High-Density Lipoprotein) Be Turned Good Again? Arterioscler Thromb Vasc Biol 2023; 43:870-872. [PMID: 37128916 DOI: 10.1161/atvbaha.123.319323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Affiliation(s)
- Amaury Dasseux
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
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Sorokin AV, Patel N, Li H, Hong CG, Sampson M, O'Hagan R, Florida EM, Teague HL, Playford MP, Chen MY, Mehta NN, Remaley AT. Estimated sdLDL-C for predicting high-risk coronary plaque features in psoriasis: a prospective observational study. Lipids Health Dis 2023; 22:55. [PMID: 37106374 PMCID: PMC10134516 DOI: 10.1186/s12944-023-01819-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 04/21/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND Psoriasis (PSO) is a skin disorder with systemic inflammation and high coronary artery disease risk. A distinct lipid phenotype occurs in psoriasis, which is characterized by high plasma triglycerides (TGs) with typically normal or even low LDL-C. The extent to which cholesterol on LDL subfractions, such as small dense LDL-C (sdLDL-C), are associated with vulnerable coronary plaque characteristics in PSO remains elusive. METHODS A recently developed equation for estimating sdLDL-C from the standard lipid panel was utilized in a PSO cohort (n = 200) with 4-year follow-up of 75 subjects. Coronary plaque burden was assessed by quantitative coronary computed tomography angiography (CCTA). Multivariate regression analyses were used for establishing associations and prognostic value of estimated sdLDL-C. RESULTS Estimated sdLDL-C was positively associated with non-calcified burden (NCB) and fibro-fatty burden (FFB), which remained significant after multivariate adjustment for NCB (β = 0.37; P = 0.050) and LDL-C adjustment for FFB (β = 0.29; P < 0.0001). Of note, total LDL-C calculated by the Friedewald equation was not able to capture these associations in the study cohort. Moreover, in the regression modelling estimated sdLDL-C was significantly predicting necrotic burden progression over 4 years follow-up (P = 0.015), whereas LDL-C did not. Finally, small LDL particles (S-LDLP) and small HDL particles (S-HDLP), along with large and medium TG-rich lipoproteins (TRLPs) had the most significant positive correlation with estimated sdLDL-C. CONCLUSIONS Estimated sdLDL-C has a stronger association than LDL-C with high-risk features of coronary atherosclerotic plaques in psoriasis patients. CLINICAL TRIAL REGISTRATION URL: https://www. CLINICALTRIALS gov . Unique identifiers: NCT01778569.
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Affiliation(s)
- Alexander V Sorokin
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA.
| | - Nidhi Patel
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Haiou Li
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Christin G Hong
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Maureen Sampson
- Section of Lipoprotein Metabolism, Translational Vascular Medicine Branch, Lung and Blood Institute, National Heart, National Institutes of Health, Bethesda, MD, USA
| | - Ross O'Hagan
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Elizabeth M Florida
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Heather L Teague
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Martin P Playford
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Marcus Y Chen
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Nehal N Mehta
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bldg 10, Clinical Research Center, Room 5-5150, Bethesda, MD, 20892, USA
| | - Alan T Remaley
- Section of Lipoprotein Metabolism, Translational Vascular Medicine Branch, Lung and Blood Institute, National Heart, National Institutes of Health, Bethesda, MD, USA
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Sorokin AV, Arnardottir H, Svirydava M, Ng Q, Baumer Y, Berg A, Pantoja CJ, Florida E, Teague HL, Yang ZH, Dagur PK, Powell-Wiley TM, Yu ZX, Playford MP, Remaley AT, Mehta NN. Comparison of the dietary omega-3 fatty acids impact on murine psoriasis-like skin inflammation and associated lipid dysfunction. J Nutr Biochem 2023; 117:109348. [PMID: 37044136 DOI: 10.1016/j.jnutbio.2023.109348] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 03/27/2023] [Accepted: 04/03/2023] [Indexed: 04/14/2023]
Abstract
Persistent skin inflammation and impaired resolution are the main contributors to psoriasis and associated cardiometabolic complications. Omega-3 polyunsaturated fatty acids (PUFAs), eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), are known to exert beneficial effects on inflammatory response and lipid function. However, a specific role of omega-3 PUFAs in psoriasis and accompanied pathologies are still a matter of debate. Here, we carried out a direct comparison between EPA and DHA 12 weeks diet intervention treatment of psoriasis-like skin inflammation in the K14-Rac1V12 mouse model. By utilizing sensitive techniques, we targeted EPA- and DHA-derived specialized pro-resolving lipid mediators and identified tightly connected signaling pathways by RNA sequencing. Treatment with experimental diets significantly decreased circulating pro-inflammatory cytokines and bioactive lipid mediators, altered psoriasis macrophage phenotypes and genes of lipid oxidation. The superficial role of these changes was related to DHA treatment and included increased levels of resolvin D5, protectin DX and maresin 2 in the skin. EPA treated mice had less pronounced effects but demonstrated a decreased skin accumulation of prostaglandin E2 and thromboxane B2. These results indicate that modulating psoriasis skin inflammation with the omega-3 PUFAs may have clinical significance and DHA treatment might be considered over EPA in this specific disease.
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Affiliation(s)
- Alexander V Sorokin
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular and Pulmonary Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA; Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Hildur Arnardottir
- Division of Cardiovascular Medicine, Center for Molecular Medicine, Department of Medicine Solna, Karolinska Institute, Sweden
| | - Maryia Svirydava
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular and Pulmonary Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Qimin Ng
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular and Pulmonary Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yvonne Baumer
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alexander Berg
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular and Pulmonary Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Carla J Pantoja
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular and Pulmonary Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Elizabeth Florida
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular and Pulmonary Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Heather L Teague
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular and Pulmonary Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zhi-Hong Yang
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Pradeep K Dagur
- Flow Cytometry Core, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tiffany M Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zu-Xi Yu
- Pathology Core, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Martin P Playford
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular and Pulmonary Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nehal N Mehta
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular and Pulmonary Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
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White-Al Habeeb NMA, Higgins V, Wolska A, Delaney SR, Remaley AT, Beriault DR. The Present and Future of Lipid Testing in Cardiovascular Risk Assessment. Clin Chem 2023; 69:456-469. [PMID: 37000150 DOI: 10.1093/clinchem/hvad012] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 01/27/2023] [Indexed: 04/01/2023]
Abstract
BACKGROUND Lipids play a central role in the pathogenesis of cardiovascular disease (CVD), a leading cause of morbidity and mortality worldwide. Plasma lipids and lipoproteins are routinely measured to help identify individuals at high risk of developing CVD and to monitor patients' response to therapy. The landscape of lipid testing is rapidly changing, including new ways to estimate traditional lipid parameters (e.g., low-density lipoprotein-cholesterol [LDL-C] calculations) and new lipid parameters that show superiority for risk prediction (e.g., non-high-density lipoprotein-cholesterol [non-HDL-C], apolipoprotein B [apoB], and lipoprotein a [Lp(a)]). CONTENT Various national guidelines for managing dyslipidemia to prevent CVD are available, which primarily focus on LDL-C for identifying those at high risk and setting thresholds for optimal response to therapy. However, LDL-C can be calculated and measured in various ways, each with advantages and disadvantages. Importantly, the recently established Sampson-NIH LDL-C equation appears to be superior to preceding calculations, as is clear from the literature and in guidelines. There is now a shift towards using lipid parameters other than LDL-C, such as non-HDL-C, apoB, and Lp(a), to identify high-risk patients and/or establish treatment targets. SUMMARY The goal of this review is to discuss the present and future of lipid testing for CVD risk assessment through describing various national clinical guidelines, critically reviewing methods to calculate and measure LDL-C and discussing the clinical utility of additional lipid parameters.
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Affiliation(s)
| | - Victoria Higgins
- DynaLIFE Medical Labs, Edmonton, AB, Canada
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada
| | - Anna Wolska
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Sarah R Delaney
- Department of Laboratory Medicine, Unity Health Toronto, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Daniel R Beriault
- Department of Laboratory Medicine, Unity Health Toronto, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada
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40
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Manemann SM, Bielinski SJ, Moser ED, St Sauver JL, Takahashi PY, Roger VL, Olson JE, Chamberlain AM, Remaley AT, Decker PA, Killian JM, Larson NB. Variability in Lipid Levels and Risk for Cardiovascular Disease: An Electronic Health Record-Based Population Cohort Study. J Am Heart Assoc 2023; 12:e027639. [PMID: 36870945 PMCID: PMC10111433 DOI: 10.1161/jaha.122.027639] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
Background Larger within-patient variability of lipid levels has been associated with increased risk of cardiovascular disease (CVD); however, measures of lipid variability require ≥3 measurements and are not currently used clinically. We investigated the feasibility of calculating lipid variability within a large electronic health record-based population cohort and assessed associations with incident CVD. Methods and Results We identified all individuals ≥40 years of age who resided in Olmsted County, MN, on January 1, 2006 (index date), without prior CVD, defined as myocardial infarction, coronary artery bypass graft surgery, percutaneous coronary intervention, or CVD death. Patients with ≥3 measurements of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, or triglycerides during the 5 years before the index date were retained. Lipid variability was calculated using variability independent of the mean. Patients were followed through December 31, 2020 for incident CVD. We identified 19 652 individuals (mean age 61 years; 55% female), who were CVD-free and had variability independent of the mean calculated for at least 1 lipid type. After adjustment, those with highest total cholesterol variability had a 20% increased risk of CVD (Q5 versus Q1 hazard ratio, 1.20 [95% CI, 1.06-1.37]). Results were similar for low-density lipoprotein cholesterol and high-density lipoprotein cholesterol. Conclusions In a large electronic health record-based population cohort, high variability in total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol was associated with an increased risk of CVD, independent of traditional risk factors, suggesting it may be a possible risk marker and target for intervention. Lipid variability can be calculated in the electronic health record environment, but more research is needed to determine its clinical utility.
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Affiliation(s)
| | | | - Ethan D Moser
- Department of Quantitative Health Sciences Mayo Clinic Rochester MN
| | | | - Paul Y Takahashi
- Division of Community Internal Medicine, Department of Medicine Mayo Clinic Rochester MN
| | - Véronique L Roger
- Department of Quantitative Health Sciences Mayo Clinic Rochester MN.,Department of Cardiovascular Medicine Mayo Clinic Rochester MN.,Epidemiology and Community Health Branch National Institutes of Health Bethesda MD
| | - Janet E Olson
- Department of Quantitative Health Sciences Mayo Clinic Rochester MN
| | - Alanna M Chamberlain
- Department of Quantitative Health Sciences Mayo Clinic Rochester MN.,Department of Cardiovascular Medicine Mayo Clinic Rochester MN
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute National Institutes of Health Bethesda MD
| | - Paul A Decker
- Department of Quantitative Health Sciences Mayo Clinic Rochester MN
| | - Jill M Killian
- Department of Quantitative Health Sciences Mayo Clinic Rochester MN
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41
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Kumar S, Conners K, Joo J, Turecamo S, Sampson M, Wolska AT, Remaley AT, Connelly M, Otvos JD, Larson NB, Bielinski SJ, Shearer J, Roger VL. Abstract P524: Metabolic Vulnerability and Frailty for Risk Stratification in Heart Failure: A Community Cohort Study. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.p524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Introduction:
Over 6 million people in the U.S. have heart failure (HF), less than half are expected to survive beyond 5 years. The need to better stratify mortality risk in HF is recognized. Frailty is associated with mortality in HF but not routinely measured clinically. As frailty is linked to inflammation and malnutrition, we hypothesized that the Metabolic Vulnerability Index (MVX) a multimarker score of systemic inflammation (small HDL particles, GlycA) and malnutrition (leucine, valine, isoleucine, citrate), could serve as a biomarker of frailty to predict mortality risk.
Methods:
Clinical data and plasma were collected from 1,389 patients from a HF community cohort between 2003-2012. We measured frailty using the Rockwood Index as the proportion of deficits present out of 32 physical limitations and comorbidities. MVX was calculated from the nuclear magnetic resonance
LipoProfile®
test. Patients were categorized by frailty (0-0.15; 0.16-0.27; 0.28-0.78) and MVX (33.4-50, 50-60, 60-70, 70-85.8) cutpoints. Cox models estimated the association of frailty and MVX assignment with mortality, adjusted for Meta-Analysis Global Group in Chronic HF (MAGGIC) score, a validated clinical risk score for HF mortality.
Results:
Frailty and MVX scores were available in 985 patients (median age 77, IQR: 67-84; 48% women). Higher frailty was associated with higher MVX (p-trend < 0.001). The highest frailty and MVX groups experienced large increases in risk of death, after adjustment for MAGGIC score (HR=3.3, 95% CI=2.6-4.2) and (HR=2.7, 95% CI=2.1-3.5), respectively. When adjusted for one another and MAGGIC score, MVX and frailty associations with death were only minimally attenuated: frailty (HR=3.2, 95% CI=2.5-4.0) and MVX (HR=2.4, 95% CI=1.9-3.2) (Figure 1).
Conclusion:
In this community cohort of patients with HF, frailty and MVX are positively associated with one another. However, both indicators are independently associated with an increased risk of death and can contribute to risk stratification.
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Affiliation(s)
- Sant Kumar
- MedStar Georgetown Univ Hosp, Washington, DC
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Oyetoro R, Conners K, Joo J, Turecamo S, Sampson M, Wolska A, Remaley AT, Connelly MA, Otvos JD, Larson NB, Bielinski SJ, Shearer JJ, Roger VL. Abstract P177: Circulating Ketone Bodies and Mortality in Heart Failure: A Community Cohort Study. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.p177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Background:
Heart failure (HF) is associated with metabolic alterations, including ketogenesis. However, determinants of ketogenesis and risk of mortality in HF is not defined. Total ketone bodies (KB) include β-hydroxybutyrate, acetoacetate, and acetone and can be measured in plasma by nuclear magnetic resonance (NMR). The aim of this study is to determine the relationship between KB and clinical characteristics in a community HF cohort and to assess the association between KB and all-cause mortality.
Methods:
A population-based cohort of 1,389 HF patients was prospectively enrolled between 2003 and 2012. Plasma KB was measured by LP4
NMR LipoProfile
® assay/test on the Vantera® NMR analyzer platform. A conditional inference tree method (ctree R Package) was used to determine optimal KB group cut points. Associations between clinical characteristics and KB were measured with Wilcoxon rank sum test and Pearson’s Chi-squared test. Kaplan-Meier method estimated survival. Cox regression analyses were used to estimate associations between KB concentrations and mortality.
Results:
Among the 1,382 HF patients with KB measurements, the median age was 78 years (IQR 68-84) and 52% were men. Median KB was 180 μM (IQR 134-308). Patients were divided into two groups with lower KB (≤471.5 μM) and higher KB (>471.5 μM). Patients with higher KB (N=210) had lower BMI, higher BNP, and were more likely to be in the New York Heart Association class III-IV; however, these patients were less likely to have hyperlipidemia, coronary disease, or diabetes mellitus (P < 0.05). Age, sex, creatinine, ejection fraction, or Meta-Analysis Global Group in Chronic HF (MAGGIC) score did not differ by KB group. Higher KB was associated with worse survival (figure). After adjustment for the MAGGIC score, higher KB was associated with increased risk of mortality (HR 1.3; 95% CI, 1.08-1.48).
Conclusions:
In this community HF cohort, higher KB was associated with increased mortality, independent of the MAGGIC score.
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Affiliation(s)
- Rebecca Oyetoro
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Katie Conners
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Jungnam Joo
- Office of Biostatistics Rsch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Sarah Turecamo
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Maureen Sampson
- Dept of Laboratory Medicine, Clinical Cntr, National Institutes of Health, Bethesda, MD
| | - Anna Wolska
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | | | | | - Nicholas B Larson
- Div of Clinical Trials and Biostatistics, Dept of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, MN
| | | | - Joseph J Shearer
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Véronique L Roger
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
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Carmo HRP, Yoshinaga MY, Castillo AR, Britto Chaves-Filho A, Bonilha I, Barreto J, Muraro SP, de Souza GF, Davanzo GG, Perroud MW, Lukhna K, Ntsekhe M, Davidson S, Velloso LA, Nadruz W, Carvalho LSF, Sáinz-Jaspeado M, Farias AS, Proença-Módena JL, Moraes-Vieira PM, Karathanasis SK, Yellon D, Miyamoto S, Remaley AT, Sposito AC. Phenotypic changes in low-density lipoprotein particles as markers of adverse clinical outcomes in COVID-19. Mol Genet Metab 2023; 138:107552. [PMID: 36889041 PMCID: PMC9969752 DOI: 10.1016/j.ymgme.2023.107552] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 02/22/2023] [Accepted: 02/23/2023] [Indexed: 03/03/2023]
Abstract
BACKGROUND AND AIMS Low-density lipoprotein (LDL) plasma concentration decline is a biomarker for acute inflammatory diseases, including coronavirus disease-2019 (COVID-19). Phenotypic changes in LDL during COVID-19 may be equally related to adverse clinical outcomes. METHODS Individuals hospitalized due to COVID-19 (n = 40) were enrolled. Blood samples were collected on days 0, 2, 4, 6, and 30 (D0, D2, D4, D6, and D30). Oxidized LDL (ox-LDL), and lipoprotein-associated phospholipase A2 (Lp-PLA2) activity were measured. In a consecutive series of cases (n = 13), LDL was isolated by gradient ultracentrifugation from D0 and D6 and was quantified by lipidomic analysis. Association between clinical outcomes and LDL phenotypic changes was investigated. RESULTS In the first 30 days, 42.5% of participants died due to Covid-19. The serum ox-LDL increased from D0 to D6 (p < 0.005) and decreased at D30. Moreover, individuals who had an ox-LDL increase from D0 to D6 to over the 90th percentile died. The plasma Lp-PLA2 activity also increased progressively from D0 to D30 (p < 0.005), and the change from D0 to D6 in Lp-PLA2 and ox-LDL were positively correlated (r = 0.65, p < 0.0001). An exploratory untargeted lipidomic analysis uncovered 308 individual lipids in isolated LDL particles. Paired-test analysis from D0 and D6 revealed higher concentrations of 32 lipid species during disease progression, mainly represented by lysophosphatidyl choline and phosphatidylinositol. In addition, 69 lipid species were exclusively modulated in the LDL particles from non-survivors as compared to survivors. CONCLUSIONS Phenotypic changes in LDL particles are associated with disease progression and adverse clinical outcomes in COVID-19 patients and could serve as a potential prognostic biomarker.
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Affiliation(s)
| | - Marcos Y Yoshinaga
- Department of Biochemistry, Institute of Chemistry, University of São Paulo, SP, Brazil.
| | | | | | | | | | - Stéfanie Primon Muraro
- Laboratory of Emerging Viruses, Department of Genetics, Microbiology and Immunology, Institute of Biology, University of Campinas, Campinas, SP, Brazil
| | - Gabriela Fabiano de Souza
- Laboratory of Emerging Viruses, Department of Genetics, Microbiology and Immunology, Institute of Biology, University of Campinas, Campinas, SP, Brazil
| | - Gustavo Gastão Davanzo
- Laboratory of Immunometabolism, Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas, Campinas, SP, Brazil
| | | | - Kishal Lukhna
- Division of Cardiology, University of Cape Town, Cape Town, South Africa
| | - Mpiko Ntsekhe
- Division of Cardiology, University of Cape Town, Cape Town, South Africa
| | - Sean Davidson
- Hatter Cardiovascular Institute, University College London, London, UK
| | - Licio A Velloso
- Internal Medicine Department, Unicamp Medical School, SP, Brazil
| | - Wilson Nadruz
- Cardiology Division, Unicamp Medical School, SP, Brazil
| | | | | | - Alessandro S Farias
- Laboratory of Neuroimmunomodulation, Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas, Campinas, SP, Brazil; Hub of Global Health (HGH), University of Campinas, Campinas, SP, Brazil
| | - José Luiz Proença-Módena
- Laboratory of Emerging Viruses, Department of Genetics, Microbiology and Immunology, Institute of Biology, University of Campinas, Campinas, SP, Brazil; Hub of Global Health (HGH), University of Campinas, Campinas, SP, Brazil
| | - Pedro M Moraes-Vieira
- Laboratory of Immunometabolism, Department of Genetics, Evolution, Microbiology and Immunology, Institute of Biology, University of Campinas, Campinas, SP, Brazil; Hub of Global Health (HGH), University of Campinas, Campinas, SP, Brazil
| | - Sotirios K Karathanasis
- Lipoprotein Metabolism Laboratory Translational Vascular Medicine Branch National Heart, Lung and Blood Institute National Institutes of Health, Bethesda, MD, USA
| | - Derek Yellon
- Hatter Cardiovascular Institute, University College London, London, UK
| | - Sayuri Miyamoto
- Department of Biochemistry, Institute of Chemistry, University of São Paulo, SP, Brazil
| | - Alan T Remaley
- Lipoprotein Metabolism Laboratory Translational Vascular Medicine Branch National Heart, Lung and Blood Institute National Institutes of Health, Bethesda, MD, USA
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Woo JG, Melchior JT, Swertfeger DK, Remaley AT, Sise EA, Sosseh F, Welge JA, Prentice AM, Davidson WS, Moore SE, Woollett LA. Lipoprotein subfraction patterns throughout gestation in The Gambia: changes in subfraction composition and their relationships with infant birth weights. Lipids Health Dis 2023; 22:19. [PMID: 36737730 PMCID: PMC9896684 DOI: 10.1186/s12944-023-01776-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 01/16/2023] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Lipoprotein subfraction concentrations have been shown to change as gestation progresses in resource-rich settings. The objective of the current study was to evaluate the impact of pregnancy on different-sized lipoprotein particle concentrations and compositions in a resource-poor setting. METHOD Samples were collected from pregnant women in rural Gambia at enrollment (8-20 weeks), 20 weeks, and 30 weeks of gestation. Concentrations of different-sized high-density, low-density, and triglyceride-rich lipoprotein particles (HDL, LDL, and TRL, respectively) were measured by nuclear magnetic resonance in 126 pooled plasma samples from a subset of women. HDL was isolated and the HDL proteome evaluated using mass spectroscopy. Subfraction concentrations from women in The Gambia were also compared to concentrations in women in the U.S. in mid gestation. RESULTS Total lipoprotein particles and all-sized TRL, LDL, and HDL particle concentrations increased during gestation, with the exception of medium-sized LDL and HDL particles which decreased. Subfraction concentrations were not associated with infant birth weights, though relationships were found between some lipoprotein subfraction concentrations in women with normal versus low birth weight infants (< 2500 kg). HDL's proteome also changed during gestation, showing enrichment in proteins associated with metal ion binding, hemostasis, lipid metabolism, protease inhibitors, proteolysis, and complement activation. Compared to women in the U.S., Gambian women had lower large- and small-sized LDL and HDL concentrations, but similar medium-sized LDL and HDL concentrations. CONCLUSIONS Most lipoprotein subfraction concentrations increase throughout pregnancy in Gambian women and are lower in Gambian vs U.S. women, the exception being medium-sized LDL and HDL particle concentrations which decrease during gestation and are similar in both cohorts of women. The proteomes of HDL also change in ways to support gestation. These changes warrant further study to determine how a lack of change or different changes could impact negative pregnancy outcomes.
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Affiliation(s)
- Jessica G Woo
- Departments of Pediatrics and Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - John T Melchior
- Department of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Biological Sciences Division, Pacific Northwest National Laboratory, WA, Richland, USA
| | - Debi K Swertfeger
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Alan T Remaley
- Lipoprotein Metabolism Section, Cardio-Pulmonary Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ebrima A Sise
- MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Fatou Sosseh
- MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Jeffrey A Welge
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Andrew M Prentice
- MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - W Sean Davidson
- Department of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Sophie E Moore
- MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, The Gambia
- Department of Women and Children's Health, King's College London, London, UK
| | - Laura A Woollett
- Department of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
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Yuan W, Ernst K, Kuai R, Morin EE, Yu M, Sviridov DO, Tang J, Mei L, Li D, Ackermann R, Remaley AT, Schwendeman A. Systematic evaluation of the effect of different apolipoprotein A-I mimetic peptides on the performance of synthetic high-density lipoproteins in vitro and in vivo. Nanomedicine 2023; 48:102646. [PMID: 36549559 DOI: 10.1016/j.nano.2022.102646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 12/06/2022] [Accepted: 12/09/2022] [Indexed: 12/23/2022]
Abstract
Synthetic high-density lipoproteins nanomedicine (sHDL) composed of apolipoprotein A-I (ApoA-I) mimetic peptides and lipids have shown very promising results for the treatment of various cardiovascular diseases. Numerous efforts have also been made to design different ApoA-I mimetic peptides to improve the potency of sHDL, especially the efficiency of reverse cholesterol transport. However, the way in which ApoA-I mimetic peptides affect the properties of sHDL, including stability, cholesterol efflux, cholesterol esterification, elimination in vivo, and the relationship of these properties, is still poorly understood. Revealing the effect of these factors on the potency of sHDL is important for the design of better ApoA-I mimetic peptides. In this study, three widely used ApoA-I mimetic peptides with different sequences, lengths, LCAT activation and lipid binding affinities were used for the preparation of sHDL and were evaluated in terms of physical/chemical properties, cholesterol efflux, cholesterol esterification, remodeling, and pharmacokinetics/pharmacodynamics. Our results showed that ApoA-I mimetic peptides with the highest cholesterol efflux and cholesterol esterification in vitro did not exhibit the highest cholesterol mobilization in vivo. Further analysis indicated that other factors, such as pharmacokinetics and remodeling of sHDL, need to be considered in order to predict the efficiency of cholesterol mobilization in vivo. Thus, our study highlights the importance of using the overall performance, rather than in vitro results alone, as the blueprint for the design and optimization of ApoA-I mimetic peptides.
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Affiliation(s)
- Wenmin Yuan
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109, United States of America
| | - Kelsey Ernst
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109, United States of America
| | - Rui Kuai
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109, United States of America
| | - Emily E Morin
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109, United States of America
| | - Minzhi Yu
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109, United States of America
| | - Denis O Sviridov
- National Heart, Lung and Blood Institute, National Institutes of Health, Building 10 - 2C433, 10 Center Drive, MSC 1666, Bethesda, MD 20892, United States of America
| | - Jie Tang
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109, United States of America
| | - Ling Mei
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109, United States of America
| | - Dan Li
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109, United States of America
| | - Rose Ackermann
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109, United States of America
| | - Alan T Remaley
- National Heart, Lung and Blood Institute, National Institutes of Health, Building 10 - 2C433, 10 Center Drive, MSC 1666, Bethesda, MD 20892, United States of America
| | - Anna Schwendeman
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109, United States of America; Department of Medicinal Chemistry, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109, United States of America; Biointerfaces Institute, University of Michigan, NCRC, 2800 Plymouth Road, Ann Arbor, MI 48109, United States of America.
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46
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Jialal I, Remaley AT, Adams-Huet B. The triglyceride-waist circumference index is a valid biomarker of metabolic syndrome in African Americans. Am J Med Sci 2023; 365:184-188. [PMID: 36435217 DOI: 10.1016/j.amjms.2022.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 11/17/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND The hypertriglyceridemia waist (HTGW) phenotype is associated with visceral adiposity, metabolic syndrome, type 2 diabetes mellitus (T2DM) and atherosclerotic cardiovascular disease (ASCVD). Since the cut points for abdominal obesity and hypertriglyceridemia, differ for different race groups, investigators have developed the product of triglycerides (TG) and waist circumference (WC) as the TG.WC index. We compared this TG.WC index to the TG:HDL-C ratio in the National Health and Nutrition Examination Survey (NHANES) study to predict metabolic syndrome (MetS) in African Americans (AAs). METHODS Participants included 950 AAs and 2651 non-Hispanic Whites (NHWs) for comparison from the NHANES data set. Persons with diabetes, ASCVD and macro-inflammation were excluded. Fasting blood was obtained for lipids, insulin and CRP. RESULTS In AAs and NHWs, both the TG.WC index and TG:HDL-C ratio were significantly increased in MetS patients. Also, both increased with increasing severity of MetS and correlated with all features of MetS, insulin resistance and inflammation. Receiver operating characteristic (ROC) curve analysis showed that discrimination with TG.WC for MetS was superior to the TG:HDL-C ratio especially in AAs. CONCLUSIONS TG.WC index is a superior biomarker to TG:HDL-C for predicting MetS in AAs despite their lower TG levels.
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Affiliation(s)
- Ishwarlal Jialal
- Veterans Affairs Medical Center, UC Davis, Staff Physician, VA Medical Center, Mather, CA, USA.
| | - Alan T Remaley
- Translational Vascular Medicine Branch, NHLBI, NIH, Bethesda, MD, USA
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Voros S, Bansal AT, Barnes MR, Narula J, Maurovich-Horvat P, Vazquez G, Marvasty IB, Brown BO, Voros ID, Harris W, Voros V, Dayspring T, Neff D, Greenfield A, Furchtgott L, Church B, Runge K, Khalil I, Hayete B, Lucero D, Remaley AT, Newton RS. Bayesian network analysis of panomic biological big data identifies the importance of triglyceride-rich LDL in atherosclerosis development. Front Cardiovasc Med 2023; 9:960419. [PMID: 36684605 PMCID: PMC9845579 DOI: 10.3389/fcvm.2022.960419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 11/23/2022] [Indexed: 01/06/2023] Open
Abstract
Introduction We sought to explore biomarkers of coronary atherosclerosis in an unbiased fashion. Methods We analyzed 665 patients (mean ± SD age, 56 ± 11 years; 47% male) from the GLOBAL clinical study (NCT01738828). Cases were defined by the presence of any discernable atherosclerotic plaque based on comprehensive cardiac computed tomography (CT). De novo Bayesian networks built out of 37,000 molecular measurements and 99 conventional biomarkers per patient examined the potential causality of specific biomarkers. Results Most highly ranked biomarkers by gradient boosting were interleukin-6, symmetric dimethylarginine, LDL-triglycerides [LDL-TG], apolipoprotein B48, palmitoleic acid, small dense LDL, alkaline phosphatase, and asymmetric dimethylarginine. In Bayesian analysis, LDL-TG was directly linked to atherosclerosis in over 95% of the ensembles. Genetic variants in the genomic region encoding hepatic lipase (LIPC) were associated with LIPC gene expression, LDL-TG levels and with atherosclerosis. Discussion Triglyceride-rich LDL particles, which can now be routinely measured with a direct homogenous assay, may play an important role in atherosclerosis development. Clinical trial registration GLOBAL clinical study (Genetic Loci and the Burden of Atherosclerotic Lesions); [https://clinicaltrials.gov/ct2/show/NCT01738828?term=NCT01738828&rank=1], identifier [NCT01738828].
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Affiliation(s)
- Szilard Voros
- Global Genomics Group, Atlanta, GA, United States,*Correspondence: Szilard Voros,
| | | | | | - Jagat Narula
- Mount Sinai School of Medicine, New York, NY, United States
| | - Pal Maurovich-Horvat
- MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Gustavo Vazquez
- Global Institute for Research, LLC, Richmond, VA, United States
| | | | | | | | | | - Viktor Voros
- Global Genomics Group, Atlanta, GA, United States,Department of Psychiatry, Medical School, University of Pécs, Pécs, Hungary
| | | | - David Neff
- Global Genomics Group, Atlanta, GA, United States
| | | | | | | | - Karl Runge
- GNS Healthcare, Somerville, MA, United States
| | - Iya Khalil
- GNS Healthcare, Somerville, MA, United States
| | | | - Diego Lucero
- Lipoprotein Metabolism Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Alan T. Remaley
- Lipoprotein Metabolism Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, United States
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48
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Ali RO, Quinn GM, Umarova R, Haddad JA, Zhang GY, Townsend EC, Scheuing L, Hill KL, Gewirtz M, Rampertaap S, Rosenzweig SD, Remaley AT, Han JM, Periwal V, Cai H, Walter PJ, Koh C, Levy EB, Kleiner DE, Etzion O, Heller T. Longitudinal multi-omics analyses of the gut-liver axis reveals metabolic dysregulation in hepatitis C infection and cirrhosis. Nat Microbiol 2023; 8:12-27. [PMID: 36522461 DOI: 10.1038/s41564-022-01273-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Accepted: 10/18/2022] [Indexed: 12/23/2022]
Abstract
The gut and liver are connected via the portal vein, and this relationship, which includes the gut microbiome, is described as the gut-liver axis. Hepatitis C virus (HCV) can infect the liver and cause fibrosis with chronic infection. HCV has been associated with an altered gut microbiome; however, how these changes impact metabolism across the gut-liver axis and how this varies with disease severity and time is unclear. Here we used multi-omics analysis of portal and peripheral blood, faeces and liver tissue to characterize the gut-liver axis of patients with HCV across a fibrosis severity gradient before (n = 29) and 6 months after (n = 23) sustained virologic response, that is, no detection of the virus. Fatty acids were the major metabolites perturbed across the liver, portal vein and gut microbiome in HCV, especially in patients with cirrhosis. Decreased fatty acid degradation by hepatic peroxisomes and mitochondria was coupled with increased free fatty acid (FFA) influx to the liver via the portal vein. Metatranscriptomics indicated that Anaerostipes hadrus-mediated fatty acid synthesis influences portal FFAs. Both microbial fatty acid synthesis and portal FFAs were associated with enhanced hepatic fibrosis. Bacteroides vulgatus-mediated intestinal glycan breakdown was linked to portal glycan products, which in turn correlated with enhanced portal inflammation in HCV. Paired comparison of patient samples at both timepoints showed that hepatic metabolism, especially in peroxisomes, is persistently dysregulated in cirrhosis independently of the virus. Sustained virologic response was associated with a potential beneficial role for Methanobrevibacter smithii, which correlated with liver disease severity markers. These results develop our understanding of the gut-liver axis in HCV and non-HCV liver disease aetiologies and provide a foundation for future therapies.
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Affiliation(s)
- Rabab O Ali
- Translational Hepatology Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA.
| | - Gabriella M Quinn
- Translational Hepatology Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Regina Umarova
- Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - James A Haddad
- Translational Hepatology Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Grace Y Zhang
- Translational Hepatology Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Elizabeth C Townsend
- Translational Hepatology Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Lisa Scheuing
- Translational Hepatology Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Kareen L Hill
- Translational Hepatology Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Meital Gewirtz
- Translational Hepatology Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Shakuntala Rampertaap
- Immunology Service, Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Sergio D Rosenzweig
- Immunology Service, Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Alan T Remaley
- Cardiovascular and Pulmonary Branch of the National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jung Min Han
- Computational Medicine Section, Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Vipul Periwal
- Computational Medicine Section, Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Hongyi Cai
- Clinical Mass Spectrometry Core, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Peter J Walter
- Clinical Mass Spectrometry Core, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Christopher Koh
- Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Elliot B Levy
- Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - David E Kleiner
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ohad Etzion
- Translational Hepatology Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Theo Heller
- Translational Hepatology Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA.
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Goksøyr L, Skrzypczak M, Sampson M, Nielsen MA, Salanti A, Theander TG, Remaley AT, De Jongh WA, Sander AF. A cVLP-Based Vaccine Displaying Full-Length PCSK9 Elicits a Higher Reduction in Plasma PCSK9 Than Similar Peptide-Based cVLP Vaccines. Vaccines (Basel) 2022; 11:vaccines11010002. [PMID: 36679847 PMCID: PMC9864010 DOI: 10.3390/vaccines11010002] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/09/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022] Open
Abstract
Administration of PCSK9-specific monoclonal antibodies, as well as peptide-based PCSK9 vaccines, can lower plasma LDL cholesterol by blocking PCSK9. However, these treatments also cause an increase in plasma PCSK9 levels, presumably due to the formation of immune complexes. Here, we utilize a versatile capsid virus-like particle (cVLP)-based vaccine platform to deliver both full-length (FL) PCSK9 and PCSK9-derived peptide antigens, to investigate whether induction of a broader polyclonal anti-PCSK9 antibody response would mediate more efficient clearance of plasma PCSK9. This head-to-head immunization study reveals a significantly increased capacity of the FL PCSK9 cVLP vaccine to opsonize and clear plasma PCSK9. These findings may have implications for the design of PCSK9 and other vaccines that should effectively mediate opsonization and immune clearance of target antigens.
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Affiliation(s)
- Louise Goksøyr
- Centre for Medical Parasitology at Department for Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
- AdaptVac Aps, 2200 Copenhagen, Denmark
| | | | - Maureen Sampson
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Morten A. Nielsen
- Centre for Medical Parasitology at Department for Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Ali Salanti
- Centre for Medical Parasitology at Department for Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Thor G. Theander
- Centre for Medical Parasitology at Department for Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Alan T. Remaley
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Adam F. Sander
- Centre for Medical Parasitology at Department for Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
- AdaptVac Aps, 2200 Copenhagen, Denmark
- Correspondence:
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50
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Fosam A, Bansal R, Ramanathan A, Sarcone C, Iyer I, Murthy M, Remaley AT, Muniyappa R. Lipoprotein Insulin Resistance Index: A Simple, Accurate Method for Assessing Insulin Resistance in South Asians. J Endocr Soc 2022; 7:bvac189. [PMID: 36636252 PMCID: PMC9830979 DOI: 10.1210/jendso/bvac189] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Indexed: 12/14/2022] Open
Abstract
Context Identification of insulin resistance (IR) in South Asians, who are at a higher risk for type 2 diabetes, is important. Lack of standardization of insulin assays limits the clinical use of insulin-based surrogate indices. The lipoprotein insulin resistance index (LP-IR), a metabolomic marker, reflects the lipoprotein abnormalities observed in IR. The reliability of the LP-IR index in South Asians is unknown. Objective We evaluated the predictive accuracy of LP-IR compared with other IR surrogate indices in South Asians. Methods In a cross-sectional study (n = 55), we used calibration model analysis to assess the ability of the LP-IR score and other simple surrogate indices (Homeostatic Model Assessment of Insulin Resistance, Quantitative insulin sensitivity check index, Adipose insulin resistance index, and Matsuda Index) to predict insulin sensitivity (SI) derived from the reference frequently sampled intravenous glucose tolerance test. LP-IR index was derived from lipoprotein particle concentrations and sizes measured by nuclear magnetic resonance spectroscopy. Predictive accuracy was determined by root mean squared error (RMSE) of prediction and leave-one-out cross-validation type RMSE of prediction (CVPE). The optimal cut-off of the LP-IR index was determined by the area under the receiver operating characteristic curve (AUROC) and the Youden index. Results The simple surrogate indices showed moderate correlations with SI (r = 0.53-0.69, P < .0001). CVPE and RMSE were not different in any of the surrogate indices when compared with LP-IR. The AUROC was 0.77 (95% CI 0.64-0.89). The optimal cut-off for IR in South Asians was LP-IR >48 (sensitivity: 75%, specificity: 70%). Conclusion The LP-IR index is a simple, accurate, and clinically useful test to assess IR in South Asians.
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Affiliation(s)
- Andin Fosam
- Clinical Endocrine Section, Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Rashika Bansal
- Clinical Endocrine Section, Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Amrita Ramanathan
- Clinical Endocrine Section, Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Camila Sarcone
- Clinical Endocrine Section, Diabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Indiresha Iyer
- Department of Cardiovascular Medicine, Cleveland Clinic, Akron, OH 44302, USA
| | - Meena Murthy
- Department of Endocrinology, Saint Peter's University Hospital, New Brunswick, NJ 08901, USA
| | - Alan T Remaley
- Lipoprotein Metabolism Section, Translational Vascular Medicine Branch, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - Ranganath Muniyappa
- Correspondence: Ranganath Muniyappa, MD, PhD, Clinical Endocrine Section, Diabetes, Endocrinology and Obesity Branch, National Institutes of Diabetes, Digestive and Kidney Diseases, National Institutes of Health, 10 Center Drive MSC 1613, Building 10, CRC, Rm 6-3952, Bethesda, MD 20892-1613, USA.
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