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Mandò C, Castiglioni S, Novielli C, Anelli GM, Serati A, Parisi F, Lubrano C, Zocchi M, Ottria R, Giovarelli M. Placental Bioenergetics and Antioxidant Homeostasis in Maternal Obesity and Gestational Diabetes. Antioxidants (Basel) 2024; 13:858. [PMID: 39061926 PMCID: PMC11273840 DOI: 10.3390/antiox13070858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 07/10/2024] [Accepted: 07/16/2024] [Indexed: 07/28/2024] Open
Abstract
Maternal obesity has been associated with short- and long-term risks of pregnancy-perinatal adverse events, possibly due to alterations of placental mitochondrial bioenergetics. However, several detrimental mechanisms occurring in the placentas of women with obesity still need to be clarified. Here, we analyzed placental mitochondrial features and oxidative environment of 46 pregnancies in relation to pre-pregnancy BMI. Seventeen Caucasian normal-weight (NW) and twenty-nine women who were obese (OB) were enrolled. The protein expression of mitochondrial CypD and electron transfer chain complexes (C) I-V were measured, as well as ATP production and oxygen consumption rates (OCRs). The protein levels of the pro/anti-oxidant enzymes TXNIP, SOD2, and PON2 were also analyzed. Despite no differences in CypD expression, OCRs were significantly lower in OB vs. NW women. Accordingly, ATP synthase (CV) levels and ATP content were decreased in OB women, positively correlating with placental efficiency, suggesting a link between ATP deficiency and placental dysfunction. SOD2 expression negatively correlated with maternal BMI, indicating a possible impairment of antioxidant defenses with increasing BMI. These changes were worsened in 10 OB women presenting with gestational diabetes mellitus. Overall, these results suggest alterations of placental bioenergetics in pregnancies of women with obesity, possibly leading to placental dysfunction and altered fetal development and programming.
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Affiliation(s)
- Chiara Mandò
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy; (C.M.); (S.C.); (G.M.A.); (F.P.); (C.L.); (M.Z.); (R.O.); (M.G.)
| | - Sara Castiglioni
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy; (C.M.); (S.C.); (G.M.A.); (F.P.); (C.L.); (M.Z.); (R.O.); (M.G.)
| | - Chiara Novielli
- Department of Woman, Mother and Neonate, Buzzi Children’s Hospital, ASST Fatebenefratelli Sacco, 20154 Milan, Italy
| | - Gaia Maria Anelli
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy; (C.M.); (S.C.); (G.M.A.); (F.P.); (C.L.); (M.Z.); (R.O.); (M.G.)
| | - Anaïs Serati
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy; (C.M.); (S.C.); (G.M.A.); (F.P.); (C.L.); (M.Z.); (R.O.); (M.G.)
| | - Francesca Parisi
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy; (C.M.); (S.C.); (G.M.A.); (F.P.); (C.L.); (M.Z.); (R.O.); (M.G.)
- Department of Woman, Mother and Neonate, Buzzi Children’s Hospital, ASST Fatebenefratelli Sacco, 20154 Milan, Italy
| | - Chiara Lubrano
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy; (C.M.); (S.C.); (G.M.A.); (F.P.); (C.L.); (M.Z.); (R.O.); (M.G.)
| | - Monica Zocchi
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy; (C.M.); (S.C.); (G.M.A.); (F.P.); (C.L.); (M.Z.); (R.O.); (M.G.)
| | - Roberta Ottria
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy; (C.M.); (S.C.); (G.M.A.); (F.P.); (C.L.); (M.Z.); (R.O.); (M.G.)
| | - Matteo Giovarelli
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy; (C.M.); (S.C.); (G.M.A.); (F.P.); (C.L.); (M.Z.); (R.O.); (M.G.)
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Yen IW, Lin SY, Lin MW, Lee CN, Kuo CH, Chen SC, Tai YY, Kuo CH, Kuo HC, Lin HH, Juan HC, Lin CH, Fan KC, Wang CY, Li HY. The association between plasma angiopoietin-like protein 4, glucose and lipid metabolism during pregnancy, placental function, and risk of delivering large-for-gestational-age neonates. Clin Chim Acta 2024; 554:117775. [PMID: 38220135 DOI: 10.1016/j.cca.2024.117775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 12/18/2023] [Accepted: 01/08/2024] [Indexed: 01/16/2024]
Abstract
BACKGROUND Large-for-gestational-age (LGA) neonates have increased risk of adverse pregnancy outcomes and adult metabolic diseases. We aimed to investigate the relationship between plasma angiopoietin-like protein 4 (ANGPTL4), a protein involved in lipid and glucose metabolism during pregnancy, placental function, growth factors, and the risk of LGA. METHODS We conducted a prospective cohort study and recruited women with singleton pregnancies at the National Taiwan University Hospital between 2013 and 2018. First trimester maternal plasma ANGPTL4 concentrations were measured. RESULTS Among 353 pregnant women recruited, the LGA group had higher first trimester plasma ANGPTL4 concentrations than the appropriate-for-gestational-age group. Plasma ANGPTL4 was associated with hemoglobin A1c, post-load plasma glucose, plasma triglyceride, plasma free fatty acid concentrations, plasma growth hormone variant (GH-V), and birth weight, but was not associated with cord blood growth factors. After adjusting for age, body mass index, hemoglobin A1c, and plasma triglyceride concentrations, plasma ANGPTL4 concentrations were significantly associated with LGA risk, and its predictive performance, as measured by the area under the receiver operating characteristic curve, outperformed traditional risk factors for LGA. CONCLUSIONS Plasma ANGPTL4 is associated with glucose and lipid metabolism during pregnancy, plasma GH-V, and birth weight, and is an early biomarker for predicting the risk of LGA.
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Affiliation(s)
- I-Weng Yen
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu County, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Shin-Yu Lin
- Department of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei, Taiwan
| | - Ming-Wei Lin
- Department of Obstetrics and Gynecology, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu County, Taiwan
| | - Chien-Nan Lee
- Department of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei, Taiwan
| | - Chun-Heng Kuo
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Internal Medicine, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan
| | | | - Yi-Yun Tai
- Department of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei, Taiwan
| | - Ching-Hua Kuo
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei 100, Taiwan; The Metabolomics Core Laboratory, Centers of Genomic and Precision Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Han-Chun Kuo
- The Metabolomics Core Laboratory, Centers of Genomic and Precision Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Heng-Huei Lin
- Department of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei, Taiwan
| | - Hsien-Chia Juan
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chia-Hung Lin
- Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, 7 Chung-Shan South Road, Taipei, Taiwan
| | - Kang-Chih Fan
- Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu County, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chih-Yuan Wang
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan; Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, 7 Chung-Shan South Road, Taipei, Taiwan
| | - Hung-Yuan Li
- Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, 7 Chung-Shan South Road, Taipei, Taiwan.
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Girchenko P, Lahti-Pulkkinen M, Hämäläinen E, Laivuori H, Villa PM, Kajantie E, Räikkönen K. Associations of polymetabolic risk of high maternal pre-pregnancy body mass index with pregnancy complications, birth outcomes, and early childhood neurodevelopment: findings from two pregnancy cohorts. BMC Pregnancy Childbirth 2024; 24:78. [PMID: 38267899 PMCID: PMC10807109 DOI: 10.1186/s12884-024-06274-9] [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: 08/24/2023] [Accepted: 01/15/2024] [Indexed: 01/26/2024] Open
Abstract
BACKGROUND A substantial proportion of maternal pregnancy complications, adverse birth outcomes and neurodevelopmental delay in children may be attributable to high maternal pre-pregnancy Body Mass Index (BMI). However, BMI alone is insufficient for the identification of all at-risk mothers and children as many women with non-obesity(< 30 kg/m2) or normal weight(18.5-24.99 kg/m2) and their children may suffer from adversities. Evidence suggests that BMI-related metabolic changes during pregnancy may predict adverse mother-child outcomes better than maternal anthropometric BMI. METHODS In a cohort of 425 mother-child dyads, we identified maternal BMI-defined metabolome based on associations of 95 metabolic measures measured three times during pregnancy with maternal pre-pregnancy BMI. We then examined whether maternal BMI-defined metabolome performed better than anthropometric BMI in predicting gestational diabetes, hypertensive disorders, gestational weight gain (GWG), Caesarian section delivery, child gestational age and weight at birth, preterm birth, admission to neonatal intensive care unit (NICU), and childhood neurodevelopment. Based on metabolic measures with the highest contributions to BMI-defined metabolome, including inflammatory and glycolysis-related measures, fatty acids, fluid balance, ketone bodies, lipids and amino acids, we created a set of maternal high BMI-related polymetabolic risk scores (PMRSs), and in an independent replication cohort of 489 mother-child dyads tested their performance in predicting the same set of mother-child outcomes in comparison to anthropometric BMI. RESULTS BMI-defined metabolome predicted all of the studied mother-child outcomes and improved their prediction over anthropometric BMI, except for gestational hypertension and GWG. BMI-related PMRSs predicted gestational diabetes, preeclampsia, Caesarian section delivery, admission to NICU, lower gestational age at birth, lower cognitive development score of the child, and improved their prediction over anthropometric BMI. BMI-related PMRSs predicted gestational diabetes, preeclampsia, Caesarean section delivery, NICU admission and child's lower gestational age at birth even at the levels of maternal non-obesity and normal weight. CONCLUSIONS Maternal BMI-defined metabolome improves the prediction of pregnancy complications, birth outcomes, and neurodevelopment in children over anthropometric BMI. The novel, BMI-related PMRSs generated based on the BMI-defined metabolome have the potential to become biomarkers identifying at-risk mothers and their children for timely targeted interventions even at the level of maternal non-obesity and normal weight.
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Affiliation(s)
- Polina Girchenko
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, (Haartmaninkatu 3), P.O BOX 21, 00014, Helsinki, Finland.
- Clinical Medicine Research Unit, MRC Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.
| | - Marius Lahti-Pulkkinen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, (Haartmaninkatu 3), P.O BOX 21, 00014, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
- Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Esa Hämäläinen
- Department of Clinical Chemistry, University of Eastern Finland, Kuopio, Finland
| | - Hannele Laivuori
- Department of Obstetrics and Gynecology, Tampere University Hospital, Tampere, Finland
- Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Pia M Villa
- Obstetrics and Gynaecology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Eero Kajantie
- Finnish Institute for Health and Welfare, Public Health Unit, Helsinki, Finland
- Clinical Medicine Research Unit, MRC Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Katri Räikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, (Haartmaninkatu 3), P.O BOX 21, 00014, Helsinki, Finland
- Obstetrics and Gynaecology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
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