PMID- 37686368 OWN - NLM STAT- MEDLINE DCOM- 20230911 LR - 20230911 IS - 1422-0067 (Electronic) IS - 1422-0067 (Linking) VI - 24 IP - 17 DP - 2023 Sep 1 TI - Association of HDL Subfraction Profile with the Progression of Insulin Resistance. LID - 10.3390/ijms241713563 [doi] LID - 13563 AB - Type 2 diabetes mellitus (T2DM) is a major global public health problem, as it is associated with increased morbidity, mortality, and healthcare costs. Insulin resistance (IR) is a condition characterized by disturbances in carbohydrate and lipid metabolism that precedes T2DM. The aim of the present study was to investigate the association between HDL and its subfraction profile and the progression of IR, as assessed by the Homeostatic Model Assessment for IR (HOMA-IR) index, and to define cut-off values to identify an increased risk of IR. Individuals with a HOMA-IR greater than 3.63 were considered to have IR. The HDL subfractions were separated using the Lipoprint system, which identifies ten subfractions (HDL-1-10) in three subclasses as large (HDL-L), intermediate (HDL-I) and small (HDL-S). Analyses were performed on samples from 240 individuals without IR and 137 with IR from the Hungarian general and Roma populations. The HDL-1 to -6 subfractions and the HDL-L and -I classes showed a significant negative association with the progression and existence of IR. Among them, HDL-2 (B = -40.37, p = 2.08 x 10(-11)) and HDL-L (B = -14.85, p = 9.52 x 10(-10)) showed the strongest correlation. The optimal threshold was found to be 0.264 mmol/L for HDL-L and 0.102 mmol/L and above for HDL-2. Individuals with HDL-L levels below the reference value had a 5.1-fold higher risk of IR (p = 2.2 x 10(-7)), while those with HDL-2 levels had a 4.2-fold higher risk (p = 3.0 x 10(-6)). This study demonstrates that the HDL subfraction profile (especially the decrease in HDL-2 and -L) may be a useful marker for the early detection and intervention of atherogenic dyslipidemia in subjects with impaired glucose and insulin metabolism. FAU - Piko, Peter AU - Piko P AUID- ORCID: 0000-0001-5539-907X AD - Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary. AD - National Laboratory for Health Security, Center for Epidemiology and Surveillance, Semmelweis University, 1089 Budapest, Hungary. FAU - Jenei, Tibor AU - Jenei T AD - Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary. FAU - Kosa, Zsigmond AU - Kosa Z AD - Department of Health Methodology and Public Health, Faculty of Health, University of Debrecen, 4400 Nyiregyhaza, Hungary. FAU - Sandor, Janos AU - Sandor J AD - Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary. AD - ELKH-DE Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary. FAU - Kovacs, Nora AU - Kovacs N AUID- ORCID: 0000-0001-9256-3756 AD - Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary. AD - ELKH-DE Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary. FAU - Seres, Ildiko AU - Seres I AD - Institute of Internal Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary. FAU - Paragh, Gyorgy AU - Paragh G AD - Institute of Internal Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary. FAU - Adany, Roza AU - Adany R AUID- ORCID: 0000-0002-9679-6669 AD - Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary. AD - National Laboratory for Health Security, Center for Epidemiology and Surveillance, Semmelweis University, 1089 Budapest, Hungary. AD - ELKH-DE Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary. AD - Department of Public Health, Semmelweis University, 1089 Budapest, Hungary. LA - eng GR - GINOP-2.3.2-15-2016-00005/European Regional Development Fund/ GR - TK2016-78/Hungarian Academy of Sciences/ GR - TKCS-2021/32/Eotvos Lorand Research Network/ GR - Project No. 135784/National Research, Development, and Innovation Fund of Hungary/ GR - RRF-2.3.1-21-2022-00006/National Research, Development and Innovation Office/ GR - UNKP-22-4-II-DE-268/National Research, Development, and Innovation Fund of Hungary/ PT - Journal Article DEP - 20230901 PL - Switzerland TA - Int J Mol Sci JT - International journal of molecular sciences JID - 101092791 RN - 0 (Lipoproteins, HDL2) RN - IY9XDZ35W2 (Glucose) SB - IM MH - Humans MH - *Diabetes Mellitus, Type 2 MH - *Insulin Resistance MH - Lipoproteins, HDL2 MH - Glucose MH - Health Care Costs PMC - PMC10488248 OTO - NOTNLM OT - HDL subfraction profile OT - HDL-2 OT - HOMA-IR OT - cut-off points OT - diabetes OT - high-density lipoprotein cholesterol OT - insulin resistance OT - large HDL COIS- The authors declare no conflict of interest. EDAT- 2023/09/09 11:47 MHDA- 2023/09/11 06:42 PMCR- 2023/09/01 CRDT- 2023/09/09 01:13 PHST- 2023/07/30 00:00 [received] PHST- 2023/08/24 00:00 [revised] PHST- 2023/08/31 00:00 [accepted] PHST- 2023/09/11 06:42 [medline] PHST- 2023/09/09 11:47 [pubmed] PHST- 2023/09/09 01:13 [entrez] PHST- 2023/09/01 00:00 [pmc-release] AID - ijms241713563 [pii] AID - ijms-24-13563 [pii] AID - 10.3390/ijms241713563 [doi] PST - epublish SO - Int J Mol Sci. 2023 Sep 1;24(17):13563. doi: 10.3390/ijms241713563.