Pornpen Srisawasdi1, Somlak Vanavanan2, Mana Rochanawutanon1, Khanat Kruthkul3, Kazuhiko Kotani4, Martin H Kroll5. 1. Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand. 2. Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand. Electronic address: svanavanan47@gmail.com. 3. Department of Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand. 4. Department of Clinical Laboratory Medicine, Jichi Medical University, Shimotsuke-City 329-0498, Japan. 5. Quest Diagnostics, Madison, NJ 07940, USA.
Abstract
OBJECTIVE: Heterogeneous particles of intermediate-density lipoprotein (IDL) and low-density lipoprotein (LDL) vary in atherogenesis. We investigated the association between the metabolic syndrome (MetS) score and lipoprotein subclasses. DESIGN AND METHODS: A total of 260 outpatients were scored into six groups, based on their number of MetS components. Lipoprotein subclass determined by polyacrylamide tube gel electrophoresis separates IDL particles into three midbands (MID-A to C) and LDL into larger-buoyant (LDL1 and LDL2) and small-dense LDL (LDL3 to LDL6). RESULTS: Mean concentrations of VLDL, MIDC, LDL2, and LDL3 to LDL6 positively correlated with increasing MetS score, but those of MIDA, LDL1 and HDL-C inversely correlated. LDL2 and LDL3 to LDL6 increased while MIDA and LDL1 decreased with increasing visceral fat, HOMA-IR, and triglycerides, with a reverse pattern for HDL-C. MIDB and MIDC were unchanged. By logistic regression, LDL1 and LDL3 to LDL6 significantly associates with the MetS score (odds ratio=0.957 and 1.077, respectively). The ratio of (LDL3 to LDL6)/LDL1 in the presence of HDL-C, showed the strongest association with MetS. CONCLUSIONS: Respective subpopulations of IDL and LDL particles can vary in their ability to identify MetS. Because of the most strongly associated with MetS, (LDL3 to LDL6)/LDL1 ratio is proposed as an excellent marker for evaluating lipid metabolic status in patient with MetS.
OBJECTIVE: Heterogeneous particles of intermediate-density lipoprotein (IDL) and low-density lipoprotein (LDL) vary in atherogenesis. We investigated the association between the metabolic syndrome (MetS) score and lipoprotein subclasses. DESIGN AND METHODS: A total of 260 outpatients were scored into six groups, based on their number of MetS components. Lipoprotein subclass determined by polyacrylamide tube gel electrophoresis separates IDL particles into three midbands (MID-A to C) and LDL into larger-buoyant (LDL1 and LDL2) and small-dense LDL (LDL3 to LDL6). RESULTS: Mean concentrations of VLDL, MIDC, LDL2, and LDL3 to LDL6 positively correlated with increasing MetS score, but those of MIDA, LDL1 and HDL-C inversely correlated. LDL2 and LDL3 to LDL6 increased while MIDA and LDL1 decreased with increasing visceral fat, HOMA-IR, and triglycerides, with a reverse pattern for HDL-C. MIDB and MIDC were unchanged. By logistic regression, LDL1 and LDL3 to LDL6 significantly associates with the MetS score (odds ratio=0.957 and 1.077, respectively). The ratio of (LDL3 to LDL6)/LDL1 in the presence of HDL-C, showed the strongest association with MetS. CONCLUSIONS: Respective subpopulations of IDL and LDL particles can vary in their ability to identify MetS. Because of the most strongly associated with MetS, (LDL3 to LDL6)/LDL1 ratio is proposed as an excellent marker for evaluating lipid metabolic status in patient with MetS.
Authors: Monica Del C Gomez-Alonso; Anja Kretschmer; Rory Wilson; Liliane Pfeiffer; Ville Karhunen; Ilkka Seppälä; Weihua Zhang; Kirstin Mittelstraß; Simone Wahl; Pamela R Matias-Garcia; Holger Prokisch; Sacha Horn; Thomas Meitinger; Luis R Serrano-Garcia; Sylvain Sebert; Olli Raitakari; Marie Loh; Wolfgang Rathmann; Martina Müller-Nurasyid; Christian Herder; Michael Roden; Mikko Hurme; Marjo-Riitta Jarvelin; Mika Ala-Korpela; Jaspal S Kooner; Annette Peters; Terho Lehtimäki; John C Chambers; Christian Gieger; Johannes Kettunen; Melanie Waldenberger Journal: Clin Epigenetics Date: 2021-01-07 Impact factor: 6.551