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Hong BV, Zheng J, Zivkovic AM. HDL Function across the Lifespan: From Childhood, to Pregnancy, to Old Age. Int J Mol Sci 2023; 24:15305. [PMID: 37894984 PMCID: PMC10607703 DOI: 10.3390/ijms242015305] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 10/11/2023] [Accepted: 10/16/2023] [Indexed: 10/29/2023] Open
Abstract
The function of high-density lipoprotein (HDL) particles has emerged as a promising therapeutic target and the measurement of HDL function is a promising diagnostic across several disease states. The vast majority of research on HDL functional biology has focused on adult participants with underlying chronic diseases, whereas limited research has investigated the role of HDL in childhood, pregnancy, and old age. Yet, it is apparent that functional HDL is essential at all life stages for maintaining health. In this review, we discuss current data regarding the role of HDL during childhood, pregnancy and in the elderly, how disturbances in HDL may lead to adverse health outcomes, and knowledge gaps in the role of HDL across these life stages.
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Affiliation(s)
| | | | - Angela M. Zivkovic
- Department of Nutrition, University of California-Davis, Davis, CA 95616, USA; (B.V.H.); (J.Z.)
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Aghaei Z, Hajian S, Darvish S. Maternal Plasma Lipid Profile and Risk of Spontaneous Preterm Labor Study in a Sample of Iranian Women in 2019. IRANIAN JOURNAL OF NURSING AND MIDWIFERY RESEARCH 2023; 28:468-473. [PMID: 37694214 PMCID: PMC10484381 DOI: 10.4103/ijnmr.ijnmr_326_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 01/03/2023] [Accepted: 01/08/2023] [Indexed: 09/12/2023]
Abstract
Background Neonatal problems and adverse outcomes may be minimized by up to 90-75% when preterm delivery is diagnosed early and managed properly. This study aimed to determine the association of maternal plasma lipid indices with the occurrence of spontaneous preterm labor. Material and Methods This matched pair case-control study was performed on 80 pregnant women referred to a teaching hospital in Tehran for childbirth in 2019. The lipid profile was assessed in women with spontaneous preterm labor and term birth. According to age, Body Mass Index (BMI), pregnancy number, employment status, and educational level, the women in each group were paired. Data were analyzed using an independent-samples t-test, Mann-Whitney U-test, Chi-square, linear regression, and conditional logistic regression. Results Mean serum levels of total cholesterol, triglycerides, and low-density lipoprotein were all significantly higher in the case group compared with the control group (p < 0.05). The conditional logistic regression test confirmed that this association remained significant even after adjusting the effect of potentially confounding factors such as maternal age and body mass index. In addition, in linear regression the increased levels of triglyceride, total cholesterol, and low-density lipoprotein were found to be associated with 3.33-fold (1.32.-5.32 95% CI, p < 0.001), 2.94-fold (1.60-3.14 95% CI, p = 0.002), and 2.46-fold (1.31.-2.91 95% CI, p = 0.006) increased risk of preterm labor, respectively. Conclusions High triglyceride, total cholesterol, and low-density lipoprotein serum levels may be linked to an increased chance of spontaneous preterm labor, which might be considered a risk factor for this pregnancy problem.
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Affiliation(s)
- Zohreh Aghaei
- Student Research Committee, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sepideh Hajian
- Midwifery and Reproductive Health, Research Center, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Soodabeh Darvish
- Department of Obstetrics and, Gynecology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Huang D, Zhu H, Zhu Y, Dang Q, Yang Q, Zhang Y, Cai X, Zhao X, Liang N, Wang H, Yu H. Association of maternal HDL2-c concentration in the first trimester and the risk of large for gestational age birth. Lipids Health Dis 2022; 21:71. [PMID: 35971146 PMCID: PMC9380360 DOI: 10.1186/s12944-022-01688-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 08/08/2022] [Indexed: 11/10/2022] Open
Abstract
Background Maternal lipid levels during pregnancy are critical for fetal development. Recent studies revealed that high-density lipoprotein cholesterol (HDL-c) levels during pregnancy were negatively correlated with birthweight. High-density lipoprotein 2 cholesterol (HDL2-c) is one of the major subclasses of HDL-c, and its relationship with birthweight is unclear. Association of HDL2-c concentration in the first trimester and risk of large for gestational age (LGA) was explored. Methods This study recruited pregnant women who registered in Fuxing Hospital from October 2018 to January 2020, had regular obstetric examinations during pregnancy, and delivered between June 2019 and September 2020. Finally, 549 participants were recruited for the study. Maternal demographic characteristics and venous blood were collected at the 6th-14th gestational week, and serum total cholesterol (TC), triglyceride (TG), HDL-c, HDL2-c, high-density lipoprotein 3 cholesterol (HDL3-c), and low-density lipoprotein cholesterol (LDL-c) concentrations were detected. Neonatal characteristics were collected at delivery. A logistic regression model was used to explore the relationship between the first trimester HDL2-c concentration and LGA incidence. A nomogram was developed, and the performance was evaluated with a concordance index. Results Seventy-five mothers delivered LGA infants, and the LGA incidence was 13.66%. LGA mothers had significantly lower serum HDL-c and HDL2-c concentrations than appropriate for gestational age (AGA) mothers. A logistic regression model showed that HDL2-c concentration was negatively correlated with LGA risk (odds ratio (OR) = 0.237, 95% confidence intervals (CI): 0.099–0.567, P = 0.001) when adjusted for age, prepregnancy body mass index (BMI), and parity. A nomogram was generated using all these risk factors. The area under the curve (AUC) was 0.663 (95% CI: 0.593–0.732). Conclusions Maternal HDL2-c concentration in the first trimester was negatively correlated with the risk of LGA. Supplementary Information The online version contains supplementary material available at 10.1186/s12944-022-01688-w.
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Affiliation(s)
- Dongxu Huang
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, No.10, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, People's Republic of China
| | - Haiyan Zhu
- Obstetrical Department, Fuxing Hospital, Capital Medical University, Beijing, 100045, People's Republic of China
| | - Yandi Zhu
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, No.10, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, People's Republic of China
| | - Qinyu Dang
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, No.10, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, People's Republic of China
| | - Qian Yang
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, No.10, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, People's Republic of China
| | - Yadi Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, No.10, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, People's Republic of China
| | - Xiaxia Cai
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, No.10, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, People's Republic of China
| | - Xiaoyan Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, No.10, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, People's Republic of China
| | - Ning Liang
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, No.10, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, People's Republic of China
| | - Hongliang Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, No.10, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, People's Republic of China
| | - Huanling Yu
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, No.10, Xitoutiao, Youanmenwai, Fengtai District, Beijing, 100069, People's Republic of China.
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Rideout TC, Wen X, Choudhary D, Catanzaro M, Browne RW, Barnabei VM, Kong KL. Associations of maternal lipoprotein particle distribution in mid-pregnancy with birth outcomes: a pilot study. Lipids Health Dis 2022; 21:53. [PMID: 35698189 PMCID: PMC9195337 DOI: 10.1186/s12944-022-01664-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Accepted: 06/02/2022] [Indexed: 12/02/2022] Open
Abstract
Background An excessive rise in maternal lipids during pregnancy may have detrimental impacts on maternal and fetal health leading to adverse pregnancy outcomes. However, knowledge gaps exist with respect to the association between lipid biomarkers and birth outcomes. Methods We conducted a secondary data analysis of healthy pregnant women (N = 25) with mid-pregnancy fasting serum samples collected at 22–28 weeks of gestation and birth outcome data. Serum was analyzed for conventional lipid profile (total-C, HDL-C, LDL-C, and triglycerides) and lipoprotein subclass distribution, including particle number (nM) and size (nm), for very low-density lipoprotein (VLDL)/chylomicron (CM), low density lipoprotein (LDL), and high-density lipoprotein (HDL), by nuclear magnetic resonance spectroscopy. Associations between maternal lipids and birth outcomes, including birth weight (g) and gestational age (weeks), were assessed using multivariable linear regression, adjusted for pre-pregnancy BMI. Results Although conventional lipids were not associated (p > 0.05) with birth outcomes, every 1-unit increment in large VLDL/CM particles (nM) and VLDL/CM size (nm) was associated with an increase in birth weight (confounder-adjusted β-coefficient, 45.80 g [5.30, 86.20, p = 0.003] and 24.90 g [8.80, 40.90, p = 0.002], respectively). Among the HDL subclass parameters, a 1-unit (nM) increase in the concentration of total HDL-particles was associated with a reduced birth weight (confounder adjusted β-coefficient, -19.40 g [95% confidence interval, -36.70, -2.20]; p = 0.03) after adjustment for maternal pre-pregnancy BMI. Conclusion The preliminary results of this pilot study suggest that total particle concentrations of VLDL/CM and HDL in mid-pregnancy have divergent associations with birth weight, potentially reflecting the specific roles of these lipoprotein particles with respect to placental function and fetal growth.
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Affiliation(s)
- Todd C Rideout
- Department of Exercise and Nutrition Sciences, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA.
| | - Xiaozhong Wen
- Department Pediatrics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Divya Choudhary
- Department of Exercise and Nutrition Sciences, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Marissa Catanzaro
- Department of Exercise and Nutrition Sciences, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Richard W Browne
- Department Biotechnical and Clinical Laboratory Sciences, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Vanessa M Barnabei
- Department Obstetrics and Gynecology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, 14214, USA
| | - Kai Ling Kong
- Baby Health Behavior Lab, Division of Health Services and Outcomes Research, Children's Mercy Research Institute, Children's Mercy Hospital, Kansas City, USA.,Department of Pediatrics, University of Missouri, Columbia, USA.,Center for Children's Healthy Lifestyles and Nutrition, Medical Center, University of Kansas, Kansas City, KS, USA
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Pregnancy is accompanied by larger high density lipoprotein particles and compositionally distinct subspecies. J Lipid Res 2021; 62:100107. [PMID: 34416270 PMCID: PMC8441201 DOI: 10.1016/j.jlr.2021.100107] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 08/03/2021] [Accepted: 08/13/2021] [Indexed: 12/24/2022] Open
Abstract
Pregnancy is accompanied by significant physiological changes, which can impact the health and development of the fetus and mother. Pregnancy-induced changes in plasma lipoproteins are well documented, with modest to no impact observed on the generic measure of high density lipoprotein (HDL) cholesterol. However, the impact of pregnancy on the concentration and composition of HDL subspecies has not been examined in depth. In this prospective study, we collected plasma from 24 nonpregnant and 19 pregnant women in their second trimester. Using nuclear magnetic resonance (NMR), we quantified 11 different lipoprotein subspecies from plasma by size, including three in the HDL class. We observed an increase in the number of larger HDL particles in pregnant women, which were confirmed by tracking phospholipids across lipoproteins using high-resolution gel-filtration chromatography. Using liquid chromatography-mass spectrometry (LC-MS), we identified 87 lipid-associated proteins across size-speciated fractions. We report drastic shifts in multiple protein clusters across different HDL size fractions in pregnant females compared with nonpregnant controls that have major implications on HDL function. These findings significantly elevate our understanding of how changes in lipoprotein metabolism during pregnancy could impact the health of both the fetus and the mother.
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