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Chétiveaux M, Croyal M, Ouguerram K, Fall F, Flet L, Zair Y, Nobecourt E, Krempf M. Effect of fasting and feeding on apolipoprotein A-I kinetics in preβ 1-HDL, α-HDL, and triglyceride-rich lipoproteins. Sci Rep 2020; 10:15585. [PMID: 32973209 PMCID: PMC7519065 DOI: 10.1038/s41598-020-72323-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Accepted: 08/03/2020] [Indexed: 11/24/2022] Open
Abstract
The aim of this study was to compare the kinetics of apolipoprotein (apo)A-I during fed and fasted states in humans, and to determine to what extent the intestine contributes to apoA-I production. A stable isotope study was conducted to determine the kinetics of apoA-I in preβ1 high-density lipoprotein (HDL) and α-HDL. Six healthy male subjects received a constant intravenous infusion of 2H3-leucine for 14 h. Subjects in the fed group also received small hourly meals. Blood samples were collected hourly during tracer infusion and then daily for 4 days. Tracer enrichments were measured by mass spectrometry and then fitted to a compartmental model using asymptotic plateau of very-low-density lipoprotein (VLDL) apoB100 and triglyceride-rich lipoprotein (TRL) apoB48 as estimates of hepatic and intestinal precursor pools, respectively. The clearance rate of preβ1-HDL-apoA-I was lower in fed individuals compared with fasted subjects (p < 0.05). No other differences in apoA-I production or clearance rates were observed between the groups. No significant correlation was observed between plasma apoC-III concentrations and apoA-I kinetic data. In contrast, HDL-apoC-III was inversely correlated with the conversion of α-HDL to preβ1-HDL. Total apoA-I synthesis was not significantly increased in fed subjects. Hepatic production was not significantly different between the fed group (17.17 ± 2.75 mg/kg/day) and the fasted group (18.67 ± 1.69 mg/kg/day). Increase in intestinal apoA-I secretion in fed subjects was 2.20 ± 0.61 mg/kg/day. The HDL-apoA-I kinetics were similar in the fasted and fed groups, with 13% of the total apoA-I originating from the intestine with feeding.
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Affiliation(s)
| | - Mikaël Croyal
- CRNH-O Mass Spectrometry Core Facility, Nantes, France. .,NUN, INRA, CHU Nantes, UMR 1280, PhAN, IMAD, CRNH-O, IRS-UN-Spectrométrie de Masse-8, quai Moncousu, 44000, Nantes, France.
| | - Khadija Ouguerram
- CRNH-O Mass Spectrometry Core Facility, Nantes, France.,NUN, INRA, CHU Nantes, UMR 1280, PhAN, IMAD, CRNH-O, IRS-UN-Spectrométrie de Masse-8, quai Moncousu, 44000, Nantes, France
| | - Fanta Fall
- CRNH-O Mass Spectrometry Core Facility, Nantes, France
| | - Laurent Flet
- Pharmacy Department, Nantes University Hospital, Nantes, France
| | - Yassine Zair
- CRNH-O Mass Spectrometry Core Facility, Nantes, France
| | - Estelle Nobecourt
- CRNH-O Mass Spectrometry Core Facility, Nantes, France.,Nephrology Department, CHU Saint-Pierre, La Réunion, France
| | - Michel Krempf
- CRNH-O Mass Spectrometry Core Facility, Nantes, France.,Clinique Bretéché, Groupe Elsan, Nantes, France
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2
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Croyal M, Fall F, Ferchaud-Roucher V, Chétiveaux M, Zaïr Y, Ouguerram K, Krempf M, Nobécourt E. Multiplexed peptide analysis for kinetic measurements of major human apolipoproteins by LC/MS/MS. J Lipid Res 2016; 57:509-15. [PMID: 26773160 DOI: 10.1194/jlr.d064618] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2015] [Indexed: 11/20/2022] Open
Abstract
A multiplexed assay was developed by MS to analyze, in a single run, six major human Apos involved in lipoprotein metabolism: ApoA-I, ApoA-II, ApoB100, ApoC-II, ApoC-III, and ApoE. This method was validated in vivo in six subjects who received a 14 h constant infusion of [5,5,5-(2)H3]L-leucine at 10 μM/kg/h. Plasma lipoprotein fractions were isolated from collected blood samples and were digested with trypsin. Proteotypic peptides were subsequently analyzed by LC/MS/MS. Enrichment measurement data were compared with those obtained by the standard method using GC/MS. The required time to obtain the LC/MS/MS data was less than that needed for GC/MS. The enrichments from both methods were correlated for ApoA-I (r = 0.994; P < 0.0001) and ApoB100 (r = 0.999; P < 0.0001), and the Bland-Altman plot confirmed the similarity of the two methods. Intra- and inter-assay variability calculated for the six Apos of interest did not exceed 10.7 and 12.5%, respectively, and kinetic parameters were similar and/or in agreement with previously reported data. Therefore, LC/MS/MS can be considered as a useful tool for human Apo kinetic studies using stable isotopes.
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Affiliation(s)
- Mikaël Croyal
- INRA, UMR 1280, Physiologie des Adaptations Nutritionnelles, CHU Hôtel-Dieu, F-44000 Nantes, France CRNHO, West Human Nutrition Research Center, CHU, F-44093 Nantes, France
| | - Fanta Fall
- INRA, UMR 1280, Physiologie des Adaptations Nutritionnelles, CHU Hôtel-Dieu, F-44000 Nantes, France CRNHO, West Human Nutrition Research Center, CHU, F-44093 Nantes, France
| | - Véronique Ferchaud-Roucher
- INRA, UMR 1280, Physiologie des Adaptations Nutritionnelles, CHU Hôtel-Dieu, F-44000 Nantes, France CRNHO, West Human Nutrition Research Center, CHU, F-44093 Nantes, France
| | - Maud Chétiveaux
- CRNHO, West Human Nutrition Research Center, CHU, F-44093 Nantes, France
| | - Yassine Zaïr
- CRNHO, West Human Nutrition Research Center, CHU, F-44093 Nantes, France
| | - Khadija Ouguerram
- INRA, UMR 1280, Physiologie des Adaptations Nutritionnelles, CHU Hôtel-Dieu, F-44000 Nantes, France CRNHO, West Human Nutrition Research Center, CHU, F-44093 Nantes, France
| | - Michel Krempf
- INRA, UMR 1280, Physiologie des Adaptations Nutritionnelles, CHU Hôtel-Dieu, F-44000 Nantes, France CRNHO, West Human Nutrition Research Center, CHU, F-44093 Nantes, France Department of Endocrinology, Metabolic Diseases, and Nutrition, G and R Laennec Hospital, F-44093 Nantes, France
| | - Estelle Nobécourt
- INRA, UMR 1280, Physiologie des Adaptations Nutritionnelles, CHU Hôtel-Dieu, F-44000 Nantes, France CRNHO, West Human Nutrition Research Center, CHU, F-44093 Nantes, France Department of Endocrinology, Metabolic Diseases, and Nutrition, G and R Laennec Hospital, F-44093 Nantes, France
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Sips FLP, Tiemann CA, Oosterveer MH, Groen AK, Hilbers PAJ, van Riel NAW. A computational model for the analysis of lipoprotein distributions in the mouse: translating FPLC profiles to lipoprotein metabolism. PLoS Comput Biol 2014; 10:e1003579. [PMID: 24784354 PMCID: PMC4006703 DOI: 10.1371/journal.pcbi.1003579] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2013] [Accepted: 03/11/2014] [Indexed: 12/27/2022] Open
Abstract
Disturbances of lipoprotein metabolism are recognized as indicators of cardiometabolic disease risk. Lipoprotein size and composition, measured in a lipoprotein profile, are considered to be disease risk markers. However, the measured profile is a collective result of complex metabolic interactions, which complicates the identification of changes in metabolism. In this study we aim to develop a method which quantitatively relates murine lipoprotein size, composition and concentration to the molecular mechanisms underlying lipoprotein metabolism. We introduce a computational framework which incorporates a novel kinetic model of murine lipoprotein metabolism. The model is applied to compute a distribution of plasma lipoproteins, which is then related to experimental lipoprotein profiles through the generation of an in silico lipoprotein profile. The model was first applied to profiles obtained from wild-type C57Bl/6J mice. The results provided insight into the interplay of lipoprotein production, remodelling and catabolism. Moreover, the concentration and metabolism of unmeasured lipoprotein components could be determined. The model was validated through the prediction of lipoprotein profiles of several transgenic mouse models commonly used in cardiovascular research. Finally, the framework was employed for longitudinal analysis of the profiles of C57Bl/6J mice following a pharmaceutical intervention with a liver X receptor (LXR) agonist. The multifaceted regulatory response to the administration of the compound is incompletely understood. The results explain the characteristic changes of the observed lipoprotein profile in terms of the underlying metabolic perturbation and resultant modifications of lipid fluxes in the body. The Murine Lipoprotein Profiler (MuLiP) presented here is thus a valuable tool to assess the metabolic origin of altered murine lipoprotein profiles and can be applied in preclinical research performed in mice for analysis of lipid fluxes and lipoprotein composition.
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Affiliation(s)
- Fianne L P Sips
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Netherlands Consortium for Systems Biology, University of Amsterdam, Amsterdam, The Netherlands
| | - Christian A Tiemann
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Netherlands Consortium for Systems Biology, University of Amsterdam, Amsterdam, The Netherlands
| | - Maaike H Oosterveer
- Department of Pediatrics, University Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Albert K Groen
- Netherlands Consortium for Systems Biology, University of Amsterdam, Amsterdam, The Netherlands; Department of Pediatrics, University Groningen, University Medical Center Groningen, Groningen, The Netherlands; Department of Laboratory Medicine, University Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Peter A J Hilbers
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Netherlands Consortium for Systems Biology, University of Amsterdam, Amsterdam, The Netherlands
| | - Natal A W van Riel
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Netherlands Consortium for Systems Biology, University of Amsterdam, Amsterdam, The Netherlands
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4
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Lu J, Hübner K, Nanjee MN, Brinton EA, Mazer NA. An in-silico model of lipoprotein metabolism and kinetics for the evaluation of targets and biomarkers in the reverse cholesterol transport pathway. PLoS Comput Biol 2014; 10:e1003509. [PMID: 24625468 PMCID: PMC3952822 DOI: 10.1371/journal.pcbi.1003509] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2013] [Accepted: 01/22/2014] [Indexed: 11/18/2022] Open
Abstract
High-density lipoprotein (HDL) is believed to play an important role in lowering cardiovascular disease (CVD) risk by mediating the process of reverse cholesterol transport (RCT). Via RCT, excess cholesterol from peripheral tissues is carried back to the liver and hence should lead to the reduction of atherosclerotic plaques. The recent failures of HDL-cholesterol (HDL-C) raising therapies have initiated a re-examination of the link between CVD risk and the rate of RCT, and have brought into question whether all target modulations that raise HDL-C would be atheroprotective. To help address these issues, a novel in-silico model has been built to incorporate modern concepts of HDL biology, including: the geometric structure of HDL linking the core radius with the number of ApoA-I molecules on it, and the regeneration of lipid-poor ApoA-I from spherical HDL due to remodeling processes. The ODE model has been calibrated using data from the literature and validated by simulating additional experiments not used in the calibration. Using a virtual population, we show that the model provides possible explanations for a number of well-known relationships in cholesterol metabolism, including the epidemiological relationship between HDL-C and CVD risk and the correlations between some HDL-related lipoprotein markers. In particular, the model has been used to explore two HDL-C raising target modulations, Cholesteryl Ester Transfer Protein (CETP) inhibition and ATP-binding cassette transporter member 1 (ABCA1) up-regulation. It predicts that while CETP inhibition would not result in an increased RCT rate, ABCA1 up-regulation should increase both HDL-C and RCT rate. Furthermore, the model predicts the two target modulations result in distinct changes in the lipoprotein measures. Finally, the model also allows for an evaluation of two candidate biomarkers for in-vivo whole-body ABCA1 activity: the absolute concentration and the % lipid-poor ApoA-I. These findings illustrate the potential utility of the model in drug development.
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Affiliation(s)
- James Lu
- F. Hoffmann-La Roche AG, pRED, Pharma Research & Early Development, Clinical Pharmacology, Basel, Switzerland
- * E-mail:
| | - Katrin Hübner
- BioQuant, University of Heidelberg, Heidelberg, Germany
| | - M. Nazeem Nanjee
- Division of Cardiovascular Genetics, University of Utah, Salt Lake City, Utah, United States of America
| | - Eliot A. Brinton
- Utah Foundation for Biomedical Research, Salt Lake City, Utah, United States of America
| | - Norman A. Mazer
- F. Hoffmann-La Roche AG, pRED, Pharma Research & Early Development, Clinical Pharmacology, Basel, Switzerland
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5
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Lu J, Mazer NA, Hübner K. Mathematical models of lipoprotein metabolism and kinetics: current status and future perspective. ACTA ACUST UNITED AC 2013. [DOI: 10.2217/clp.13.52] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Uehara Y, Ando S, Yahiro E, Oniki K, Ayaori M, Abe S, Kawachi E, Zhang B, Shioi S, Tanigawa H, Imaizumi S, Miura SI, Saku K. FAMP, a novel apoA-I mimetic peptide, suppresses aortic plaque formation through promotion of biological HDL function in ApoE-deficient mice. J Am Heart Assoc 2013; 2:e000048. [PMID: 23709562 PMCID: PMC3698760 DOI: 10.1161/jaha.113.000048] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Background Apolipoprotein (apo) A‐I is a major high‐density lipoprotein (HDL) protein that causes cholesterol efflux from peripheral cells through the ATP‐binding cassette transporter A1 (ABCA1), thus generating HDL and reversing the macrophage foam cell phenotype. Pre‐β1 HDL is the smallest subfraction of HDL, which is believed to represent newly formed HDL, and it is the most active acceptor of free cholesterol. Furthermore it has a possible protective function against cardiovascular disease (CVD). We developed a novel apoA‐I mimetic peptide without phospholipids (Fukuoka University ApoA‐I Mimetic Peptide, FAMP). Methods and Results FAMP type 5 (FAMP5) had a high capacity for cholesterol efflux from A172 cells and mouse and human macrophages in vitro, and the efflux was mainly dependent on ABCA1 transporter. Incubation of FAMP5 with human HDL or whole plasma generated small HDL particles, and charged apoA‐I‐rich particles migrated as pre‐β HDL on agarose gel electrophoresis. Sixteen weeks of treatment with FAMP5 significantly suppressed aortic plaque formation (scrambled FAMP, 31.3±8.9% versus high‐dose FAMP5, 16.2±5.0%; P<0.01) and plasma C‐reactive protein and monocyte chemoattractant protein‐1 in apoE‐deficient mice fed a high‐fat diet. In addition, it significantly enhanced HDL‐mediated cholesterol efflux capacity from the mice. Conclusions A newly developed apoA‐I mimetic peptide, FAMP, has an antiatherosclerotic effect through the enhancement of the biological function of HDL. FAMP may have significant atheroprotective potential and prove to be a new therapeutic tool for CVD.
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7
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Development of a method to measure preβHDL and αHDL apoA-I enrichment for stable isotopic studies of HDL kinetics. Lipids 2012; 47:1011-8. [PMID: 22886353 DOI: 10.1007/s11745-012-3703-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2012] [Accepted: 07/12/2012] [Indexed: 10/28/2022]
Abstract
Our understanding of HDL metabolism would be enhanced by the measurement of the kinetics of preβHDL, the nascent form of HDL, since elevated levels have been reported in patients with coronary artery disease. Stable isotope methodology is an established technique that has enabled the determination of the kinetics (production and catabolism) of total HDL apoA-I in vivo. The development of separation procedures to obtain a preβHDL fraction, the isotopic enrichment of which could then be measured, would enable further understanding of the pathways in vivo for determining the fate of preβHDL and the formation of αHDL. A method was developed and optimised to separate and measure preβHDL and αHDL apoA-I enrichment. Agarose gel electrophoresis was first used to separate lipoprotein subclasses, and then a 4-10 % discontinuous SDS-PAGE used to isolate apoA-I. Measures of preβHDL enrichment in six healthy subjects were undertaken following an infusion of L-[1-¹³C-leucine]. After isolation of preβ and αHDL, the isotopic enrichment of apoA-I for each fraction was measured by gas chromatography-mass spectrometry. PreβHDL apoA-I enrichment was measured with a CV of 0.51 % and αHDL apoA-I with a CV of 0.34 %. The fractional catabolic rate (FCR) of preβHDL apoA-I was significantly higher than the FCR of αHDL apoA-I (p < 0.005). This methodology can be used to selectively isolate preβ and αHDL apoA-I for the measurement of apoA-I isotopic enrichment for kinetics studies of HDL subclass metabolism in a research setting.
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Franssen R, Sankatsing RR, Hassink E, Hutten B, Ackermans MT, Brinkman K, Oesterholt R, Arenas-Pinto A, Storfer SP, Kastelein JJ, Sauerwein HP, Reiss P, Stroes ES. Nevirapine Increases High-Density Lipoprotein Cholesterol Concentration by Stimulation of Apolipoprotein A-I Production. Arterioscler Thromb Vasc Biol 2009; 29:1336-41. [DOI: 10.1161/atvbaha.109.192088] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objective—
The purpose of this study was to investigate the mechanism by which the nonnucleoside reverse transcriptase inhibitor (NNRTI) nevirapine (NVP) increases high-density lipoprotein cholesterol (HDLc) in treatment-experienced human immunodeficiency virus-1 (HIV-1)–infected patients.
Methods and Results—
Twelve HIV-1 infected patients, with stably suppressed HIV-1 viral load using AZT/3TC/abacavir for ≥6 months, added NVP to their current antiretroviral regimen. Patients received a primed bolus infusion of the stable isotope L-[1-
13
C]-valine for 12 hours before, as well as 6 and 24 weeks after, the addition of NVP to study apolipoprotein A-I (apoA-I) kinetics. Absolute production rate (APR) and fractional catabolic rate (FCR) of apoA-I were calculated using SAAM-II modeling. Major HDLc-modulating enzymes were assessed. Plasma apoA-I and HDLc levels increased significantly after 24 weeks of treatment by, respectively, 13±4% (
P
=0.01) and 16±6% (
P
=0.015). Concomitantly, apoA-I production rate at 24 weeks increased by 17±7% (
P
=0.04). ApoA-I catabolism did not change. A modest increase of lecithin:cholesterol acyltransferase and cholesteryl ester transfer protein activity was observed.
Conclusions—
NVP increases apoA-I production, which contributes to the HDLc increase after introduction of NVP-containing regimens. In view of the potent antiatherogenic effects of apoA-I, the observed increase may contribute to the favorable cardiovascular profile of NVP.
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Affiliation(s)
- Remco Franssen
- From the Department of Vascular Medicine (R.F., R.R.S., J.J.K., E.S.S.), the Department of Clinical Epidemiology, Biostatistics, and Bioinformatics (B.H.), the Department of Clinical Chemistry, Laboratory of Endocrinology (M.T.A., R.O.), the Department of Endocrinology and Metabolism (H.P.S.), and the Department of Infectious Disease, Tropical Medicine, and AIDS and the Center for Infection and Immunity Amsterdam (CINIMA) (P.R.), Academic Medical Center, Amsterdam, The Netherlands; IATEC BV (E.H.),
| | - Raaj R. Sankatsing
- From the Department of Vascular Medicine (R.F., R.R.S., J.J.K., E.S.S.), the Department of Clinical Epidemiology, Biostatistics, and Bioinformatics (B.H.), the Department of Clinical Chemistry, Laboratory of Endocrinology (M.T.A., R.O.), the Department of Endocrinology and Metabolism (H.P.S.), and the Department of Infectious Disease, Tropical Medicine, and AIDS and the Center for Infection and Immunity Amsterdam (CINIMA) (P.R.), Academic Medical Center, Amsterdam, The Netherlands; IATEC BV (E.H.),
| | - Elly Hassink
- From the Department of Vascular Medicine (R.F., R.R.S., J.J.K., E.S.S.), the Department of Clinical Epidemiology, Biostatistics, and Bioinformatics (B.H.), the Department of Clinical Chemistry, Laboratory of Endocrinology (M.T.A., R.O.), the Department of Endocrinology and Metabolism (H.P.S.), and the Department of Infectious Disease, Tropical Medicine, and AIDS and the Center for Infection and Immunity Amsterdam (CINIMA) (P.R.), Academic Medical Center, Amsterdam, The Netherlands; IATEC BV (E.H.),
| | - Barbara Hutten
- From the Department of Vascular Medicine (R.F., R.R.S., J.J.K., E.S.S.), the Department of Clinical Epidemiology, Biostatistics, and Bioinformatics (B.H.), the Department of Clinical Chemistry, Laboratory of Endocrinology (M.T.A., R.O.), the Department of Endocrinology and Metabolism (H.P.S.), and the Department of Infectious Disease, Tropical Medicine, and AIDS and the Center for Infection and Immunity Amsterdam (CINIMA) (P.R.), Academic Medical Center, Amsterdam, The Netherlands; IATEC BV (E.H.),
| | - Mariette T. Ackermans
- From the Department of Vascular Medicine (R.F., R.R.S., J.J.K., E.S.S.), the Department of Clinical Epidemiology, Biostatistics, and Bioinformatics (B.H.), the Department of Clinical Chemistry, Laboratory of Endocrinology (M.T.A., R.O.), the Department of Endocrinology and Metabolism (H.P.S.), and the Department of Infectious Disease, Tropical Medicine, and AIDS and the Center for Infection and Immunity Amsterdam (CINIMA) (P.R.), Academic Medical Center, Amsterdam, The Netherlands; IATEC BV (E.H.),
| | - Kees Brinkman
- From the Department of Vascular Medicine (R.F., R.R.S., J.J.K., E.S.S.), the Department of Clinical Epidemiology, Biostatistics, and Bioinformatics (B.H.), the Department of Clinical Chemistry, Laboratory of Endocrinology (M.T.A., R.O.), the Department of Endocrinology and Metabolism (H.P.S.), and the Department of Infectious Disease, Tropical Medicine, and AIDS and the Center for Infection and Immunity Amsterdam (CINIMA) (P.R.), Academic Medical Center, Amsterdam, The Netherlands; IATEC BV (E.H.),
| | - René Oesterholt
- From the Department of Vascular Medicine (R.F., R.R.S., J.J.K., E.S.S.), the Department of Clinical Epidemiology, Biostatistics, and Bioinformatics (B.H.), the Department of Clinical Chemistry, Laboratory of Endocrinology (M.T.A., R.O.), the Department of Endocrinology and Metabolism (H.P.S.), and the Department of Infectious Disease, Tropical Medicine, and AIDS and the Center for Infection and Immunity Amsterdam (CINIMA) (P.R.), Academic Medical Center, Amsterdam, The Netherlands; IATEC BV (E.H.),
| | - Alejandro Arenas-Pinto
- From the Department of Vascular Medicine (R.F., R.R.S., J.J.K., E.S.S.), the Department of Clinical Epidemiology, Biostatistics, and Bioinformatics (B.H.), the Department of Clinical Chemistry, Laboratory of Endocrinology (M.T.A., R.O.), the Department of Endocrinology and Metabolism (H.P.S.), and the Department of Infectious Disease, Tropical Medicine, and AIDS and the Center for Infection and Immunity Amsterdam (CINIMA) (P.R.), Academic Medical Center, Amsterdam, The Netherlands; IATEC BV (E.H.),
| | - Stephen P. Storfer
- From the Department of Vascular Medicine (R.F., R.R.S., J.J.K., E.S.S.), the Department of Clinical Epidemiology, Biostatistics, and Bioinformatics (B.H.), the Department of Clinical Chemistry, Laboratory of Endocrinology (M.T.A., R.O.), the Department of Endocrinology and Metabolism (H.P.S.), and the Department of Infectious Disease, Tropical Medicine, and AIDS and the Center for Infection and Immunity Amsterdam (CINIMA) (P.R.), Academic Medical Center, Amsterdam, The Netherlands; IATEC BV (E.H.),
| | - John J. Kastelein
- From the Department of Vascular Medicine (R.F., R.R.S., J.J.K., E.S.S.), the Department of Clinical Epidemiology, Biostatistics, and Bioinformatics (B.H.), the Department of Clinical Chemistry, Laboratory of Endocrinology (M.T.A., R.O.), the Department of Endocrinology and Metabolism (H.P.S.), and the Department of Infectious Disease, Tropical Medicine, and AIDS and the Center for Infection and Immunity Amsterdam (CINIMA) (P.R.), Academic Medical Center, Amsterdam, The Netherlands; IATEC BV (E.H.),
| | - Hans P. Sauerwein
- From the Department of Vascular Medicine (R.F., R.R.S., J.J.K., E.S.S.), the Department of Clinical Epidemiology, Biostatistics, and Bioinformatics (B.H.), the Department of Clinical Chemistry, Laboratory of Endocrinology (M.T.A., R.O.), the Department of Endocrinology and Metabolism (H.P.S.), and the Department of Infectious Disease, Tropical Medicine, and AIDS and the Center for Infection and Immunity Amsterdam (CINIMA) (P.R.), Academic Medical Center, Amsterdam, The Netherlands; IATEC BV (E.H.),
| | - Peter Reiss
- From the Department of Vascular Medicine (R.F., R.R.S., J.J.K., E.S.S.), the Department of Clinical Epidemiology, Biostatistics, and Bioinformatics (B.H.), the Department of Clinical Chemistry, Laboratory of Endocrinology (M.T.A., R.O.), the Department of Endocrinology and Metabolism (H.P.S.), and the Department of Infectious Disease, Tropical Medicine, and AIDS and the Center for Infection and Immunity Amsterdam (CINIMA) (P.R.), Academic Medical Center, Amsterdam, The Netherlands; IATEC BV (E.H.),
| | - Erik S. Stroes
- From the Department of Vascular Medicine (R.F., R.R.S., J.J.K., E.S.S.), the Department of Clinical Epidemiology, Biostatistics, and Bioinformatics (B.H.), the Department of Clinical Chemistry, Laboratory of Endocrinology (M.T.A., R.O.), the Department of Endocrinology and Metabolism (H.P.S.), and the Department of Infectious Disease, Tropical Medicine, and AIDS and the Center for Infection and Immunity Amsterdam (CINIMA) (P.R.), Academic Medical Center, Amsterdam, The Netherlands; IATEC BV (E.H.),
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9
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Computational lipidology: predicting lipoprotein density profiles in human blood plasma. PLoS Comput Biol 2008; 4:e1000079. [PMID: 18497853 PMCID: PMC2361219 DOI: 10.1371/journal.pcbi.1000079] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2007] [Accepted: 04/04/2008] [Indexed: 01/14/2023] Open
Abstract
Monitoring cholesterol levels is strongly recommended to identify patients at risk for myocardial infarction. However, clinical markers beyond "bad" and "good" cholesterol are needed to precisely predict individual lipid disorders. Our work contributes to this aim by bringing together experiment and theory. We developed a novel computer-based model of the human plasma lipoprotein metabolism in order to simulate the blood lipid levels in high resolution. Instead of focusing on a few conventionally used predefined lipoprotein density classes (LDL, HDL), we consider the entire protein and lipid composition spectrum of individual lipoprotein complexes. Subsequently, their distribution over density (which equals the lipoprotein profile) is calculated. As our main results, we (i) successfully reproduced clinically measured lipoprotein profiles of healthy subjects; (ii) assigned lipoproteins to narrow density classes, named high-resolution density sub-fractions (hrDS), revealing heterogeneous lipoprotein distributions within the major lipoprotein classes; and (iii) present model-based predictions of changes in the lipoprotein distribution elicited by disorders in underlying molecular processes. In its present state, the model offers a platform for many future applications aimed at understanding the reasons for inter-individual variability, identifying new sub-fractions of potential clinical relevance and a patient-oriented diagnosis of the potential molecular causes for individual dyslipidemia.
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10
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Dullaart RPF, Groen AK, Dallinga-Thie GM, de Vries R, Sluiter WJ, van Tol A. Fibroblast cholesterol efflux to plasma from metabolic syndrome subjects is not defective despite low high-density lipoprotein cholesterol. Eur J Endocrinol 2008; 158:53-60. [PMID: 18166817 DOI: 10.1530/eje-07-0451] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE We tested whether in metabolic syndrome (MetS) subjects the ability of plasma to stimulate cellular cholesterol efflux, an early step in the anti-atherogenic reverse cholesterol transport pathway, is maintained despite low high-density lipoprotein (HDL) cholesterol. DESIGN In 76 subjects with and 94 subjects without MetS based on the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria, we determined plasma (apo)lipoproteins, pre-beta-HDL formation, phospholipid transfer protein (PLTP) activity, cholesterol esterification (EST), cholesteryl ester transfer (CET), adiponectin, and the ability of plasma from each subject to stimulate cholesterol efflux out of cultured fibroblasts obtained from a single donor. RESULTS Apo E, PLTP activity, EST, and CET were higher (P=0.04 to <0.001), whereas adiponectin was lower in MetS subjects (P<0.01). Pre-beta-HDL and pre-beta-HDL formation were not different between subjects with and without MetS. Cellular cholesterol efflux to plasma from MetS subjects was slightly higher versus plasma from subjects without MetS (8.8+/-1.0 vs 8.5+/-0.9%, P=0.05), but the difference was not significant after age, sex, and diabetes adjustment. Cellular cholesterol efflux was positively related to pre-beta-HDL formation, EST, PLTP activity, and apo E (P<0.05 for all by multiple linear regression analysis), without an independent association with MetS and diabetes status. CONCLUSIONS The ability of plasma from MetS subjects to promote fibroblast cholesterol efflux is not defective, although HDL cholesterol is decreased. Higher cholesterol esterification, PLTP activity, and apo E levels may contribute to the maintenance of cholesterol efflux in MetS.
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Affiliation(s)
- Robin P F Dullaart
- Department of Endocrinology, University of Groningen and University Medical Center Groningen, PO Box 30001, 9700 RB Groningen, The Netherlands.
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Barrett PHR, Chan DC, Watts GF. Thematic review series: Patient-Oriented Research. Design and analysis of lipoprotein tracer kinetics studies in humans. J Lipid Res 2006; 47:1607-19. [PMID: 16728729 DOI: 10.1194/jlr.r600017-jlr200] [Citation(s) in RCA: 51] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Lipoprotein tracer kinetics studies have for many years provided new and important knowledge of the metabolism of lipoproteins. Our understanding of kinetics defects in lipoprotein metabolism has resulted from the use of tracer kinetics studies and mathematical modeling. This review discusses all aspects of the performance of kinetics studies, including the development of hypotheses, experimental design, statistical considerations, tracer administration and sampling schedule, and the development of compartmental models for the interpretation of tracer data. In addition to providing insight into new metabolic pathways, such models provide quantitative information on the effect of interventions on lipoprotein metabolism. Compartment models are useful tools to describe experimental data but can also be used to aid in experimental design and hypothesis generation. The SAAM II program provides an easy-to-use interface with which to develop and test compartmental models against experimental models. The development of a model requires that certain checks be performed to ensure that the model describes the experimental data and that the model parameters can be estimated with precision. In addition to methodologic aspects, several compartment models of apoprotein and lipid metabolism are reviewed.
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Affiliation(s)
- P Hugh R Barrett
- Metabolic Research Centre, School of Medicine and Pharmacology, University of Western Australia, Perth, Australia.
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Parhofer KG, Barrett PHR. Thematic review series: patient-oriented research. What we have learned about VLDL and LDL metabolism from human kinetics studies. J Lipid Res 2006; 47:1620-30. [PMID: 16720894 DOI: 10.1194/jlr.r600013-jlr200] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Lipoprotein metabolism is the result of a complex network of many individual components. Abnormal lipoprotein concentrations can result from changes in the production, conversion, or catabolism of lipoprotein particles. Studies in hypolipoproteinemia and hyperlipoproteinemia have elucidated the processes that control VLDL secretion as well as VLDL and LDL catabolism. Here, we review the current knowledge regarding apolipoprotein B (apoB) metabolism, focusing on selected clinically relevant conditions. In hypobetalipoproteinemia attributable to truncations in apoB, the rate of secretion is closely linked to the length of apoB. On the other hand, in patients with the metabolic syndrome, it appears that substrate, in the form of free fatty acids, coupled to the state of insulin resistance can induce hypersecretion of VLDL-apoB. Studies in patients with familial hypercholesterolemia, familial defective apoB, and mutant forms of proprotein convertase subtilisin/kexin type 9 show that mutations in the LDL receptor, the ligand for the receptor, or an intracellular chaperone for the receptor are the most important determinants in regulating LDL catabolism. This review also demonstrates the variance of results within similar, or even the same, phenotypic conditions. This underscores the sensitivity of metabolic studies to methodological aspects and thus the importance of the inclusion of adequate controls in studies.
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13
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Abstract
PURPOSE OF REVIEW Dyslipoproteinemia is a cardinal feature of the metabolic syndrome that accelerates atherosclerosis. Recent in-vivo kinetic studies of dyslipidemia in the metabolic syndrome are reviewed here. RECENT FINDINGS The dysregulation of lipoprotein metabolism may be caused by a combination of overproduction of VLDL apolipoprotein B-100, decreased catabolism of apolipoprotein B-containing particles, and increased catabolism of HDL apolipoprotein A-I particles. Nutritional modifications and increased physical exercise may favourably alter lipoprotein transport by collectively decreasing the hepatic secretion of VLDL apolipoprotein B and the catabolism of HDL apolipoprotein A-I, as well as by increasing the clearance of LDL apolipoprotein B. Conventional and new pharmacological treatments, such as statins, fibrates and cholesteryl ester transfer protein inhibitors, can also correct dyslipidemia by several mechanisms, including decreased secretion and increased catabolism of apolipoprotein B, as well as increased secretion and decreased catabolism of apolipoprotein A-I. SUMMARY Kinetic studies provide a mechanistic insight into the dysregulation and therapy of lipid and lipoprotein disorders. Future research mandates the development of new tracer methodologies with practicable in-vivo protocols for investigating fatty acid turnover, macrophage reverse cholesterol transport, cholesterol transport in plasma, corporeal cholesterol balance, and the turnover of several subpopulations of HDL particles.
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Affiliation(s)
- Dick C Chan
- Lipoprotein Research Unit, School of Medicine and Pharmacology, University of Western Australia, Perth, Australia
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Hovorka R, Nanjee MN, Cooke CJ, Miller IP, Olszewski WL, Miller NE. Mass kinetics of apolipoprotein A-I in interstitial fluid after administration of intravenous apolipoprotein A-I/lecithin discs in humans. J Lipid Res 2006; 47:975-81. [PMID: 16401881 DOI: 10.1194/jlr.m500358-jlr200] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Apolipoprotein kinetics are customarily determined by modeling time curves of specific radioactivity or isotopic enrichment in plasma after intravenous infusion of radiolabeled lipoproteins or stable isotope-enriched amino acids. However, this provides no information on the fractional rate of transfer of the apolipoprotein from plasma to interstitial fluid (k(p-if)) or its mean residence time in interstitial fluid (MRT(if)). To determine these parameters for a pharmacologic dose of exogenous apolipoprotein A-I (apoA-I) given intravenously as apoA-I/lecithin discs, we measured apoA-I in plasma and prenodal leg lymph in five healthy men before, during, and after a 4 h infusion at 10 mg/kg/h. ApoA-I concentrations in plasma and lymph were modeled by linear compartmental models (SAAM II version 1.1), using lymph albumin to adjust for the effects of variations in lymph flow rate. k(p-if) averaged 0.75%/h (range, 0.33-1.32), and MRT(if) averaged 29.1 h (14.1-40.0). Neither parameter was correlated with the distribution volume (57-105 ml/kg) or the fractional elimination rate (1.44-2.91%/h) of apoA-I, determined by modeling plasma apoA-I concentration alone. Although used here to study the mass kinetics of apoA-I, if combined with infusion of a tracer, analysis of lymph could also expand the modeling of endogenous apolipoprotein kinetics.
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Affiliation(s)
- Roman Hovorka
- Diabetes Modeling Group, Department of Paediatrics, University of Cambridge, UK
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Chétiveaux M, Lalanne F, Lambert G, Zair Y, Ouguerram K, Krempf M. Kinetics of prebeta1 HDL and alphaHDL in type II diabetic patients. Eur J Clin Invest 2006; 36:29-34. [PMID: 16403007 DOI: 10.1111/j.1365-2362.2006.01586.x] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND The aim of this study was to analyze the recycling of high density lipoprotein (HDL) in six type II diabetic patients compared with six control subjects by endogenous labelling of apolipoprotein A-I (Apo A-I) with stable isotope Apo A. MATERIALS AND METHODS The -I-HDL kinetics were performed by infusion of (5.5.5-(2)H3)-leucine for 14 h. The prebeta1 and alphaHDL were separated by gel filtration fast protein liquid chromatrography system (FPLC). Kinetics of isotopic enrichment of Apo A-I were analyzed with a multi-compartmental model software (SAAM II, SAAM Institute, Seattle, WA). RESULTS Plasma Apo A-I concentration was decreased in patients with type II diabetes as a result of a decrease in Apo A-I-alphaHDL (P < 0.05). Diabetic patients were also characterized by an increased relative contribution of Apo A-I in prebeta1 HDL (18.3 +/- 2.8% vs 11.9 +/- 3.7%, P < 0.01). The synthetic rate of prebeta1 HDL was slightly increased in diabetic patients compared with control (NS) and an increase of recycling rate of alpha to prebeta1 HDL was observed (11.67 +/- 3.14 d(-1) vs 7.09 +/- 4.51 d(-1), P < 0.05). The clearance rate of Apo A-I was higher in diabetic patients (P < 0.05 for Apo A-I-prebeta1 HDL and P < 0.005 for Apo A-I-alphaHDL). CONCLUSION This study suggests that the usual increase in prebeta1 HDL in type II diabetic patients is mainly related to an increased conversion rate of alpha to prebeta1 HDL.
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Affiliation(s)
- M Chétiveaux
- Inserm U539, Centre de Recherche en Nutrition Humaine, CHU Hôtel Dieu, Nantes, France
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