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Zeljkovic A, Vekic J, Stefanovic A. Obesity and dyslipidemia in early life: Impact on cardiometabolic risk. Metabolism 2024; 156:155919. [PMID: 38653373 DOI: 10.1016/j.metabol.2024.155919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 04/19/2024] [Accepted: 04/19/2024] [Indexed: 04/25/2024]
Abstract
Childhood obesity with its growing prevalence worldwide presents one of the most important health challenges nowadays. Multiple mechanisms are involved in the development of this condition, as well as in its associations with various cardiometabolic complications, such as insulin resistance, diabetes, metabolic dysfunction-associated steatotic liver disease and cardiovascular diseases. Recent findings suggest that childhood obesity and associated dyslipidemia at least partly originate from epigenetic modifications that take place in the earliest periods of life, namely prenatal and perinatal periods. Hence, alterations of maternal metabolism could be fundamentally responsible for fetal and neonatal metabolic programming and consequently, for metabolic health of offspring in later life. In this paper, we will review recent findings on the associations among intrauterine and early postnatal exposure to undesirable modulators of metabolism, development of childhood obesity and later cardiometabolic complications. Special attention will be given to maternal dyslipidemia as a driven force for undesirable epigenetic modulations in offspring. In addition, newly proposed lipid biomarkers of increased cardiometabolic risk in obese children and adolescents will be analyzed, with respect to their predictive potential and clinical applicability.
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Affiliation(s)
- Aleksandra Zeljkovic
- Department of Medical Biochemistry, University of Belgrade-Faculty of Pharmacy, Belgrade, Serbia
| | - Jelena Vekic
- Department of Medical Biochemistry, University of Belgrade-Faculty of Pharmacy, Belgrade, Serbia.
| | - Aleksandra Stefanovic
- Department of Medical Biochemistry, University of Belgrade-Faculty of Pharmacy, Belgrade, Serbia
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Dathan-Stumpf A, Vogel M, Grafe N, Kiess W, Stepan H. Relation between socioeconomic status and maternal serum lipids to infant lipid concentrations and anthropometry in the first year of life. Arch Gynecol Obstet 2024; 309:1009-1020. [PMID: 36862345 PMCID: PMC10867053 DOI: 10.1007/s00404-023-06937-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 01/15/2023] [Indexed: 03/03/2023]
Abstract
PURPOSE The physical health and development of an individual are influenced by multiple parameters and shaped by internal and external factors during pregnancy. However, it is unclear whether there is an association between maternal lipid concentrations in the third trimester of pregnancy and infant serum lipids as well as anthropometric growth, and whether these factors are influenced by the socioeconomic status (SES) of the mothers. METHODS Between 2011 and 2021, 982 mother-child pairs were recruited in the LIFE-Child study. To investigate the influence of prenatal factors, pregnant women at the 24th and 36th week of gestation as well as children at the age of 3, 6 and 12 months were examined and serum lipids determined. Socioeconomic status (SES) was assessed using the validated Winkler Index. RESULTS A higher maternal BMI was associated with a significantly lower Winkler score and a higher infant weight, height, head circumference and BMI from birth up to the 4th-5th week of life. In addition, the Winkler Index correlates with maternal HDL cholesterol and ApoA1 levels. There was no relation between the delivery mode and the maternal BMI or SES. For the maternal HDL cholesterol concentration in the third trimester, an inverse relation to children's height, weight, head circumference and BMI up to the first year of life as well as the chest and abdominal circumference to an age of 3 months was found. Children born to mothers with dyslipidemia in pregnancy tended to have a worse lipid profile than those born to normolipidemic mothers. CONCLUSION Serum lipid concentrations and anthropometric parameters of children in the first year of life are affected by multiple factors like maternal BMI, lipid levels and SES.
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Affiliation(s)
- Anne Dathan-Stumpf
- Department of Obstetrics, University Hospital Leipzig, Liebigstraße 20a, 04103, Leipzig, Germany.
| | - Mandy Vogel
- LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, 04103, Leipzig, Germany
| | - Nico Grafe
- LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, 04103, Leipzig, Germany
| | - Wieland Kiess
- LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, 04103, Leipzig, Germany
- Department of Pediatrics, University Hospital Leipzig, 04103, Leipzig, Germany
| | - Holger Stepan
- Department of Obstetrics, University Hospital Leipzig, Liebigstraße 20a, 04103, Leipzig, Germany
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Yelverton CA, O'Keeffe LM, Bartels HC, McDonnell C, Geraghty AA, O'Brien EC, Killeen SL, Twomey P, Kilbane M, Crowley RK, McKenna M, McAuliffe FM. Association between maternal blood lipids during pregnancy and offspring growth trajectories in a predominantly macrosomic cohort: findings from the ROLO longitudinal birth cohort study. Eur J Pediatr 2023; 182:5625-5635. [PMID: 37819419 DOI: 10.1007/s00431-023-05251-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 09/26/2023] [Accepted: 10/01/2023] [Indexed: 10/13/2023]
Abstract
The purpose of this study is to examine associations between maternal lipid profiles in pregnancy and offspring growth trajectories in a largely macrosomic cohort. This is a secondary analysis of the ROLO birth cohort (n = 293), which took place in the National Maternity Hospital, Dublin, Ireland. Infants were mostly macrosomic, with 55% having a birthweight > 4 kg. Maternal mean age was 32.4 years (SD 3.9 years), mean BMI was 26.1 kg/m2 (SD 4.4 kg/m2) and 48% of children born were males. Total cholesterol, high density lipoprotein cholesterol (HDL-cholesterol), low density lipoprotein cholesterol (LDL-cholesterol) and triglycerides were measured from fasting blood samples of mothers at 14 and 28 week gestation. The change in maternal lipid levels from early to late pregnancy was also examined. Offspring abdominal circumference and weight were measured at 20- and 34-week gestation, birth, 6 months, 2 years and 5 years postnatal. Linear spline multilevel models examined associations between maternal blood lipid profiles and offspring growth. We found some weak, significant associations between maternal blood lipids and trajectories of offspring growth. Significant findings were close to the null, providing limited evidence. For instance, 1 mmol/L increase in maternal triglycerides was associated with faster infant weight growth from 20- to 34-week gestation (0.01 kg/week, 95% CI - 0.02, - 0.001) and slower abdominal circumference from 2 to 5 years (0.01 cm/week, 95% CI - 0.02, - 0.001). These findings do not provide evidence of a clinically meaningful effect. Conclusion: These findings raise questions about the efficacy of interventions targeting maternal blood lipid profiles in pregnancies at risk of macrosomia. New studies on this topic are needed. What is Known: • Maternal fat accumulation during early pregnancy may potentially support fetal growth in the third trimester by providing a reserve of lipids that are broken down and transferred to the infant across the placental barrier. • There are limited studies exploring the impact of maternal lipid profiles on infant and child health using growth trajectories spanning prenatal to postnatal life. What is New: • Maternal blood lipid profiles were not associated with offspring growth trajectories of weight and abdominal circumference during pregnancy up to 5 years of age in a largely macrosomic cohort, as significant findings were close to the null, providing limited evidence for a clinically meaningful relationship. • Strengths of this work include the use of infant growth trajectories that span prenatal to postnatal life and inclusion of analyses of the change of maternal lipid levels from early to late pregnancy and their associations with offspring growth trajectories from 20-week gestation to 5 years of age.
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Affiliation(s)
- C A Yelverton
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
| | - L M O'Keeffe
- School of Public Health, University College Cork, Cork, Ireland
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - H C Bartels
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
| | - C McDonnell
- Department of Paediatric Endocrinology & Diabetes, Children's Health Ireland, Temple Street Hospital, Dublin, Ireland
| | - A A Geraghty
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
| | - E C O'Brien
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
- School of Biological, Health and Sports Sciences, Technological University Dublin, Dublin, Ireland
| | - S L Killeen
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
| | - P Twomey
- Department of Clinical Chemistry, St Vincent's University Hospital, Dublin, Ireland
- School of Medicine, University College Dublin, Dublin, Ireland
| | - M Kilbane
- Department of Clinical Chemistry, St Vincent's University Hospital, Dublin, Ireland
| | - R K Crowley
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
- School of Medicine, University College Dublin, Dublin, Ireland
- Department of Endocrinology & Diabetes Mellitus, St Vincent's University Hospital, Dublin, Ireland
| | - M McKenna
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
- School of Medicine, University College Dublin, Dublin, Ireland
- Department of Endocrinology & Diabetes Mellitus, St Vincent's University Hospital, Dublin, Ireland
| | - F M McAuliffe
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland.
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Francis EC, Kechris K, Jansson T, Dabelea D, Perng W. Novel Metabolic Subtypes in Pregnant Women and Risk of Early Childhood Obesity in Offspring. JAMA Netw Open 2023; 6:e237030. [PMID: 37014638 PMCID: PMC10074224 DOI: 10.1001/jamanetworkopen.2023.7030] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 02/21/2023] [Indexed: 04/05/2023] Open
Abstract
Importance The in utero metabolic milieu is associated with offspring adiposity. Standard definitions of maternal obesity (according to prepregnancy body mass index [BMI]) and gestational diabetes (GDM) may not be adequate to capture subtle yet important differences in the intrauterine environment that could be involved in programming. Objectives To identify maternal metabolic subgroups during pregnancy and to examine associations of subgroup classification with adiposity traits in their children. Design, Setting, and Participants This cohort study included mother-offspring pairs in the Healthy Start prebirth cohort (enrollment: 2010-2014) recruited from University of Colorado Hospital obstetrics clinics in Aurora, Colorado. Follow-up of women and children is ongoing. Data were analyzed from March to December 2022. Exposures Metabolic subtypes of pregnant women ascertained by applying k-means clustering on 7 biomarkers and 2 biomarker indices measured at approximately 17 gestational weeks: glucose, insulin, Homeostatic Model Assessment for Insulin Resistance, total cholesterol, high-density lipoprotein cholesterol (HDL-C), triglycerides, free fatty acids (FFA), HDL-C:triglycerides ratio, and tumor necrosis factor α. Main Outcomes and Measures Offspring birthweight z score and neonatal fat mass percentage (FM%). In childhood at approximately 5 years of age, offspring BMI percentile, FM%, BMI in the 95th percentile or higher, and FM% in the 95th percentile or higher. Results A total of 1325 pregnant women (mean [SD] age, 27.8 [6.2 years]; 322 [24.3%] Hispanic, 207 non-Hispanic Black [15.6%], and 713 [53.8%] non-Hispanic White), and 727 offspring with anthropometric data measured in childhood (mean [SD] age 4.81 [0.72] years, 48% female) were included. We identified the following 5 maternal metabolic subgroups: reference (438 participants), high HDL-C (355 participants), dyslipidemic-high triglycerides (182 participants), dyslipidemic-high FFA (234 participants), and insulin resistant (IR)-hyperglycemic (116 participants). Compared with the reference subgroup, women in the IR-hyperglycemic and dyslipidemic-high FFA subgroups had offspring with 4.27% (95% CI, 1.94-6.59) and 1.96% (95% CI, 0.45-3.47) greater FM% during childhood, respectively. There was a higher risk of high FM% among offspring of the IR-hyperglycemic (relative risk, 8.7; 95% CI, 2.7-27.8) and dyslipidemic-high FFA (relative risk, 3.4; 95% CI, 1.0-11.3) subgroups; this risk was of greater magnitude compared with prepregnancy obesity alone, GDM alone, or both conditions. Conclusions and Relevance In this cohort study, an unsupervised clustering approach revealed distinct metabolic subgroups of pregnant women. These subgroups exhibited differences in risk of offspring adiposity in early childhood. Such approaches have the potential to refine understanding of the in utero metabolic milieu, with utility for capturing variation in sociocultural, anthropometric, and biochemical risk factors for offspring adiposity.
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Affiliation(s)
- Ellen C. Francis
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, Colorado
| | - Katerina Kechris
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, Colorado
- Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora
| | - Thomas Jansson
- Department of Obstetrics and Gynecology, University of Colorado Anschutz Medical Campus, Aurora
| | - Dana Dabelea
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, Colorado
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora
| | - Wei Perng
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, Colorado
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora
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Øyri LKL, Christensen JJ, Sebert S, Thoresen M, Michelsen TM, Ulven SM, Brekke HK, Retterstøl K, Brantsæter AL, Magnus P, Bogsrud MP, Holven KB. Maternal prenatal cholesterol levels predict offspring weight trajectories during childhood in the Norwegian Mother, Father and Child Cohort Study. BMC Med 2023; 21:43. [PMID: 36747215 PMCID: PMC9903496 DOI: 10.1186/s12916-023-02742-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 01/18/2023] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Numerous intrauterine factors may affect the offspring's growth during childhood. We aimed to explore if maternal and paternal prenatal lipid, apolipoprotein (apo)B and apoA1 levels are associated with offspring weight, length, and body mass index from 6 weeks to eight years of age. This has previously been studied to a limited extent. METHODS This parental negative control study is based on the Norwegian Mother, Father and Child Cohort Study and uses data from the Medical Birth Registry of Norway. We included 713 mothers and fathers with or without self-reported hypercholesterolemia and their offspring. Seven parental metabolites were measured by nuclear magnetic resonance spectroscopy, and offspring weight and length were measured at 12 time points. Data were analyzed by linear spline mixed models, and the results are presented as the interaction between parental metabolite levels and offspring spline (age). RESULTS Higher maternal total cholesterol (TC) level was associated with a larger increase in offspring body weight up to 8 years of age (0.03 ≤ Pinteraction ≤ 0.04). Paternal TC level was not associated with change in offspring body weight (0.17 ≤ Pinteraction ≤ 0.25). Higher maternal high-density lipoprotein cholesterol (HDL-C) and apoA1 levels were associated with a lower increase in offspring body weight up to 8 years of age (0.001 ≤ Pinteraction ≤ 0.005). Higher paternal HDL-C and apoA1 levels were associated with a lower increase in offspring body weight up to 5 years of age but a larger increase in offspring body weight from 5 to 8 years of age (0.01 ≤ Pinteraction ≤ 0.03). Parental metabolites were not associated with change in offspring height or body mass index up to 8 years of age (0.07 ≤ Pinteraction ≤ 0.99). CONCLUSIONS Maternal compared to paternal TC, HDL-C, and apoA1 levels were more strongly and consistently associated with offspring body weight during childhood, supporting a direct intrauterine effect.
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Affiliation(s)
- Linn K L Øyri
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, PO Box 1046, Blindern, 0317, Oslo, Norway
| | - Jacob J Christensen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, PO Box 1046, Blindern, 0317, Oslo, Norway
| | - Sylvain Sebert
- Research Unit of Population Health, Faculty of Medicine, PO Box 5000, FI-90014 University of Oulu, Oulu, Finland
| | - Magne Thoresen
- Oslo Centre for Biostatistics and Epidemiology, Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, PO Box 1122, Blindern, 0317, Oslo, Norway
| | - Trond M Michelsen
- Department of Obstetrics, Oslo University Hospital Rikshospitalet, PO Box 4956, Nydalen, 0424, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, PO Box 1171, Blindern, 0318, Oslo, Norway
| | - Stine M Ulven
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, PO Box 1046, Blindern, 0317, Oslo, Norway
| | - Hilde K Brekke
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, PO Box 1046, Blindern, 0317, Oslo, Norway
| | - Kjetil Retterstøl
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, PO Box 1046, Blindern, 0317, Oslo, Norway.,The Lipid Clinic, Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital Aker, PO Box 4959, Nydalen, 0424, Oslo, Norway
| | - Anne Lise Brantsæter
- Division of Climate and Environmental Health, Department of Food Safety, Norwegian Institute of Public Health, PO Box 222, Skøyen, 0213, Oslo, Norway
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, PO Box 222, Skøyen, 0213, Oslo, Norway
| | - Martin P Bogsrud
- Unit for Cardiac and Cardiovascular Genetics, Department of Medical Genetics, Oslo University Hospital Ullevål, PO Box 4956, Nydalen, 0424, Oslo, Norway
| | - Kirsten B Holven
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, PO Box 1046, Blindern, 0317, Oslo, Norway. .,Norwegian National Advisory Unit on Familial Hypercholesterolemia, Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital Aker, PO Box 4959, Nydalen, 0424, Oslo, Norway.
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Stadler JT, van Poppel MNM, Wadsack C, Holzer M, Pammer A, Simmons D, Hill D, Desoye G, Marsche G. Obesity Affects Maternal and Neonatal HDL Metabolism and Function. Antioxidants (Basel) 2023; 12:antiox12010199. [PMID: 36671061 PMCID: PMC9854613 DOI: 10.3390/antiox12010199] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/09/2023] [Accepted: 01/12/2023] [Indexed: 01/19/2023] Open
Abstract
Pregravid obesity is one of the major risk factors for pregnancy complications such as gestational diabetes mellitus (GDM) and an increased risk of cardiovascular events in children of affected mothers. However, the biological mechanisms that underpin these adverse outcomes are not well understood. High-density lipoproteins (HDLs) are antiatherogenic by promoting the efflux of cholesterol from macrophages and by suppression of inflammation. Functional impairment of HDLs in obese and GDM-complicated pregnancies may have long-term effects on maternal and offspring health. In the present study, we assessed metrics of HDL function in sera of pregnant women with overweight/obesity of the DALI lifestyle trial (prepregnancy BMI ≥ 29 kg/m2) and women with normal weight (prepregnancy BMI < 25 kg/m2), as well as HDL functionalities in cord blood at delivery. We observed that pregravid obesity was associated with impaired serum antioxidative capacity and lecithin−cholesterol acyltransferase activity in both mothers and offspring, whereas maternal HDL cholesterol efflux capacity was increased. Interestingly, functionalities of maternal and fetal HDL correlated robustly. GDM did not significantly further alter the parameters of HDL function and metabolism in women with obesity, so obesity itself appears to have a major impact on HDL functionality in mothers and their offspring.
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Affiliation(s)
- Julia T. Stadler
- Division of Pharmacology, Otto Loewi Research Center for Vascular Biology, Immunology and Inflammation, Medical University of Graz, 8010 Graz, Austria
| | - Mireille N. M. van Poppel
- Institute of Human Movement Science, Sport and Health, University of Graz, 8010 Graz, Austria
- Correspondence: (M.N.M.v.P.); (G.M.); Tel.: +43-(0)-316-380-2335 (M.N.M.v.P.); +43-316-385-74128 (G.M.)
| | - Christian Wadsack
- Department of Obstetrics and Gynecology, Medical University of Graz, 8036 Graz, Austria
- BioTechMed-Graz, 8010 Graz, Austria
| | - Michael Holzer
- Division of Pharmacology, Otto Loewi Research Center for Vascular Biology, Immunology and Inflammation, Medical University of Graz, 8010 Graz, Austria
| | - Anja Pammer
- Division of Pharmacology, Otto Loewi Research Center for Vascular Biology, Immunology and Inflammation, Medical University of Graz, 8010 Graz, Austria
| | - David Simmons
- Macarthur Clinical School, Western Sydney University, Sydney, NSW 2560, Australia
| | - David Hill
- Lawson Health Research Institute, London, ON N6C 2R5, Canada
| | - Gernot Desoye
- Department of Obstetrics and Gynecology, Medical University of Graz, 8036 Graz, Austria
| | - Gunther Marsche
- Division of Pharmacology, Otto Loewi Research Center for Vascular Biology, Immunology and Inflammation, Medical University of Graz, 8010 Graz, Austria
- Correspondence: (M.N.M.v.P.); (G.M.); Tel.: +43-(0)-316-380-2335 (M.N.M.v.P.); +43-316-385-74128 (G.M.)
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Hu Z, Han L, Liu J, Fowke JH, Han JC, Kakhniashvili D, LeWinn KZ, Bush NR, Mason WA, Zhao Q. Prenatal metabolomic profiles mediate the effect of maternal obesity on early childhood growth trajectories and obesity risk: the Conditions Affecting Neurocognitive Development and Learning in Early Childhood (CANDLE) Study. Am J Clin Nutr 2022; 116:1343-1353. [PMID: 36055779 PMCID: PMC9630879 DOI: 10.1093/ajcn/nqac244] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 07/26/2022] [Accepted: 08/30/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Maternal prepregnancy obesity is an important risk factor for offspring obesity, which may partially operate through prenatal programming mechanisms. OBJECTIVES The study aimed to systematically identify prenatal metabolomic profiles mediating the intergenerational transmission of obesity. METHODS We included 450 African-American mother-child pairs from the Conditions Affecting Neurocognitive Development and Learning in Early Childhood (CANDLE) Study pregnancy cohort. LC-MS was used to conduct metabolomic profiling on maternal plasma samples of the second trimester. The childhood growth outcomes of interest included BMI trajectories from birth to age 4 y (rising-high-, moderate-, and low-BMI trajectories) as well as overweight/obesity (OWO) risk at age 4 y. Mediation analysis was conducted to identify metabolite mediators linking maternal OWO and childhood growth outcomes. The potential causal effects of maternal OWO on metabolite mediators were examined using the Mendelian randomization (MR) method. RESULTS Among the 880 metabolites detected in the maternal plasma during pregnancy, 14 and 11 metabolites significantly mediated the effects of maternal prepregnancy OWO on childhood BMI trajectories and the OWO risk at age 4 y, respectively, and 5 mediated both outcomes. The MR analysis suggested 6 of the 20 prenatal metabolite mediators might be causally influenced by maternal prepregnancy OWO, most of which are from the pathways related to the metabolism of amino acids (hydroxyasparagine, glutamate, and homocitrulline), sterols (campesterol), and nucleotides (N2,N2-dimethylguanosine). CONCLUSIONS Our study provides further evidence that prenatal metabolomic profiles might mediate the effect of maternal OWO on early childhood growth trajectories and OWO risk in offspring. The metabolic pathways, including identified metabolite mediators, might provide novel intervention targets for preventing the intrauterine development of obesity in the offspring of mothers with obesity.
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Affiliation(s)
- Zunsong Hu
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Luhang Han
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Jiawang Liu
- Medicinal Chemistry Core, Office of Research, University of Tennessee Health Science Center, Memphis, TN, USA; Department of Pharmaceutical Science, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Jay H Fowke
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Joan C Han
- Departments of Pediatrics and Physiology, University of Tennessee Health Science Center, and Children's Foundation Research Institute, Le Bonheur Children's Hospital, Memphis, TN, USA; Icahn School of Medicine at Mount Sinai, Kravis Children's Hospital, New York, NY, USA
| | - David Kakhniashvili
- Proteomics and Metabolomics Core, Office of Research, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Kaja Z LeWinn
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
| | - W Alex Mason
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Qi Zhao
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.
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Baas RE, Hutten BA, Henrichs J, Vrijkotte TGM. Associations Between Maternal Lipid Blood Levels at the 13th Week of Pregnancy and Offspring's Adiposity at Age 11-12 Years. J Clin Endocrinol Metab 2022; 107:e4048-e4057. [PMID: 35861593 PMCID: PMC9516046 DOI: 10.1210/clinem/dgac442] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Indexed: 11/19/2022]
Abstract
CONTEXT There is increasing evidence that intrauterine lipid metabolism influences the adiposity of the newborn and the first years thereafter. It remains unclear if these effects persist when these children grow older. OBJECTIVE This study examined the associations between maternal lipid blood levels during the 13th week of pregnancy and an offspring's adiposity, measured at age 11-12, and if these associations were moderated by the child's sex. METHODS Data were obtained from a community-based birth cohort, the Amsterdam Born Children and their Development (ABCD) study. At a median of 13 weeks' gestation, nonfasting blood samples of triglycerides (TGs), total cholesterol (TC), free fatty acids (FFAs), and apolipoprotein B/apolipoprotein A1 ratio (ApoB/ApoA1) were measured. An offspring's body mass index (BMI), subcutaneous fat (SCF), waist-to-height-ratio (WHtR), and fat percentage (fat%) were measured at age 11-12. Mothers with at-term born children were included (n = 1853). Multivariable linear regression analyses were performed to assess the associations between maternal lipids and each offspring's adiposity outcome separately. Sex differences were additionally evaluated. RESULTS TGs, TC, ApoB/ApoA1, and FFAs were significantly positively associated with BMI, WHtR, and fat% (adjusted for gestational age at blood sampling, child's age, sex, and sexual maturation). After additional adjustments for potential confounders and covariates, only TGs remained significantly associated with WHtR (0.45, 95% CI -0.007; 0.91). There were no associations between maternal lipids and SCF and no clear sex-specific results were found. CONCLUSION Overall, our results do not strongly support that maternal lipid profile during the 13th week of pregnancy has programming effects on adiposity in preadolescence.
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Affiliation(s)
- Rosa E Baas
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Barbara A Hutten
- Department of Epidemiology and Data Science, Amsterdam Cardiovascular Sciences Research Institute, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jens Henrichs
- Department of Midwifery Science, AVAG, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Tanja G M Vrijkotte
- Correspondence: Tanja G.M. Vrijkotte, Department of Public and Occupational Health, Amsterdam UMC location AMC, Postbox 22660, 1100 DD Amsterdam, The Netherlands,
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9
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Reply to the "Letter to the editor on: 'Second-trimester and third-trimester maternal lipid profiles significantly correlated to LGA and macrosomia'". Arch Gynecol Obstet 2021; 304:1111-1112. [PMID: 33963890 DOI: 10.1007/s00404-021-06083-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 04/27/2021] [Indexed: 01/19/2023]
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Rodrigues IC, Grandi C, Simões VMF, Batista RFL, Rodrigues LS, Cardoso VC. Metabolic profile during pregnancy in BRISA birth cohorts of Ribeirão Preto and São Luís, Brazil. ACTA ACUST UNITED AC 2020; 54:e10253. [PMID: 33295536 PMCID: PMC7727101 DOI: 10.1590/1414-431x202010253] [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: 05/06/2020] [Accepted: 09/28/2020] [Indexed: 11/26/2022]
Abstract
During pregnancy, metabolic changes that develop in women may increase the risk of diseases and conditions that may also harm the life of the growing fetus. The aim of the present study was to identify and compare the metabolic profile (MP) during pregnancy in two birth cohorts in 2010 in the cities of Ribeirão Preto (RP) and São Luís (SL), Brazil. Pregnant women (1393 in RP and 1413 in SL) were studied; information was obtained through questionnaires in addition to anthropometric, biochemical, and blood pressure measurements. Data are presented as means and proportions. To compare the characteristics of pregnant women in both cities, chi-squared and Student's t-tests were applied, with 5% significance level. Ribeirão Preto presented higher mean values than SL for pre-gestational body mass index (24.5 vs 23 kg/m2, P<0.001), systolic (108.4 vs 102.8 mmHg, P<0.001) and diastolic (65.9 vs 61.8 mmHg, P<0.001) blood pressure, total cholesterol (226.3 vs 213.7 mg/dL, P<0.001) and fractions, and glycemia (84.5 vs 80.2 mg/dL, P<0.001), except for triglycerides (P=0.135). Women from RP also showed higher rates of pre-gestational overweight and obesity compared with SL (40.1 vs 25.8%). In the present study, pregnant women in RP had a worse gestational metabolic profile than those in SL, with higher pre-gestational excess weight, indicating that nutritional transition was more advanced in the more developed city.
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Affiliation(s)
- I C Rodrigues
- Departamento de Puericultura e Pediatria, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brasil
| | - C Grandi
- Argentine Society of Pediatrics, Buenos Aires, Argentina
| | - V M F Simões
- Departamento de Saúde Pública, Universidade Federal do Maranhão, São Luís, MA, Brasil
| | - R F L Batista
- Departamento de Saúde Pública, Universidade Federal do Maranhão, São Luís, MA, Brasil
| | - L S Rodrigues
- Departamento de Puericultura e Pediatria, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brasil
| | - V C Cardoso
- Departamento de Puericultura e Pediatria, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brasil
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Steinhauser CB, Askelson K, Lambo CA, Hobbs KC, Bazer FW, Satterfield MC. Lipid metabolism is altered in maternal, placental, and fetal tissues of ewes with small for gestational age fetuses†. Biol Reprod 2020; 104:170-180. [PMID: 33001151 DOI: 10.1093/biolre/ioaa180] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 07/23/2020] [Accepted: 09/25/2020] [Indexed: 12/13/2022] Open
Abstract
Nutrient restriction (NR) has the potential to negatively impact birthweight, an indicator of neonatal survival and lifelong health. Those fetuses are termed as small for gestational age (SGA). Interestingly, there is a spectral phenotype of fetal growth rates in response to NR associated with changes in placental development, nutrient and waste transport, and lipid metabolism. A sheep model with a maternal diet, starting at Day 35, of 100% National Research Council (NRC) nutrient requirements (n = 8) or 50% NRC (n = 28) was used to assess alterations in fetuses designated NR SGA (n = 7) or NR NonSGA (n = 7) based on fetal weight at Day 135 of pregnancy. Allantoic fluid concentrations of triglycerides were greater in NR SGA fetuses than 100% NRC and NR NonSGA fetuses at Day 70 (P < 0.05). There was a negative correlation between allantoic fluid concentrations of triglycerides (R2 = 0.207) and bile acids (R2 = 0.179) on Day 70 and fetal weight at Day 135 for NR ewes (P < 0.05). Bile acids were more abundant in maternal and fetal blood for NR SGA compared to 100% NRC and NR NonSGA ewes (P < 0.05). Maternal blood concentrations of NEFAs increased in late pregnancy in NR NonSGA compared to NR SGA ewes (P < 0.05). Protein expression of fatty acid transporter SLC27A6 localized to placentomal maternal and fetal epithelia and decreased in Day 70 NR SGA compared to 100% NRC and NR NonSGA placentomes (P < 0.05). These results identify novel factors associated with an ability of placentae and fetuses in NR NonSGA ewes to adapt to, and overcome, nutritional hardship during pregnancy.
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Affiliation(s)
| | - Katharine Askelson
- Department of Animal Science, Texas A&M University, College Station, Texas, USA
| | - Colleen A Lambo
- Department of Animal Science, Texas A&M University, College Station, Texas, USA
| | - Kenneth C Hobbs
- Department of Animal Science, Texas A&M University, College Station, Texas, USA
| | - Fuller W Bazer
- Department of Animal Science, Texas A&M University, College Station, Texas, USA
| | - M Carey Satterfield
- Department of Animal Science, Texas A&M University, College Station, Texas, USA
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O'Connor TG, Williams J, Blair C, Gatzke-Kopp LM, Francis L, Willoughby MT. Predictors of Developmental Patterns of Obesity in Young Children. Front Pediatr 2020; 8:109. [PMID: 32266187 PMCID: PMC7105829 DOI: 10.3389/fped.2020.00109] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 03/03/2020] [Indexed: 12/22/2022] Open
Abstract
Introduction: The current study characterizes longitudinal patterns in obesity in young children and their prediction from developmental programming and social determinant hypotheses. Materials and Methods: The data are based on the Family Life Project, a prospective longitudinal study of 1,292 families recruited from low-income, racially diverse, rural communities in Pennsylvania, and North Carolina. Pre-natal, peri-natal, and post-natal risks for childhood obesity were collected from 2 months of age; in-person assessments of child growth were used to identity obesity on multiple occasions from 24 to 90 months of age. Results: Two major novel findings emerged. First, longitudinal analyses identified four distinct obesity development profiles: stable obesity, later-onset obesity, moderate/declining obesity, and non-obese; these groups had distinct risk profiles. Second, prediction analyses favored developmental programming explanations for obesity, including evidence even in early childhood that both low- and high birth weight was associated with stable obesity. There was no indication that pre- and peri-natal and post-natal factors predicted obesity differently in non-minority and minority children. Discussion: Factors derived from the developmental programming model of obesity overlapped with, but predicted early onset obesity independently from, risks associated with social determinant models of obesity.
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Affiliation(s)
- Thomas G O'Connor
- Department of Psychiatry, University of Rochester, Rochester, NY, United States.,Department of Psychology, University of Rochester, Rochester, NY, United States.,Department of Neuroscience, University of Rochester, Rochester, NY, United States.,Department of Obstetrics and Gynecology, University of Rochester, Rochester, NY, United States.,Wynne Center for Family Research, University of Rochester, Rochester, NY, United States
| | - Jason Williams
- RTI International, Research Triangle Park, Durham, NC, United States
| | - Clancy Blair
- Department of Population Health, New York University, New York, NY, United States
| | - Lisa M Gatzke-Kopp
- Department of Human Development and Family Studies, The Pennsylvania State University, State College, PA, United States
| | - Lori Francis
- Department of Biobehavioral Health, The Pennsylvania State University, State College, PA, United States
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