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Mastorakos G, Maliopoulos D, Kasioni S, Bargiota A, Barber TM, Skevaki C, Papassotiriou I, Vrachnis N, Farmakides G, Vlahos NF, Kumar S, Valsamakis G. Relationship Between Maternal Bone Biomarkers and Fetal Adiposity Through Normal Pregnancy. J Clin Endocrinol Metab 2021; 106:e2647-e2655. [PMID: 33710302 DOI: 10.1210/clinem/dgab152] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Indexed: 12/30/2022]
Abstract
PURPOSE To examine the association of maternal bone markers [sclerostin, soluble receptor activator of nuclear factor-κB ligand (sRANKL), osteocalcin, 25-hydroxyvitamin D3] with fetal intra-abdominal and subcutaneous adipose tissue deposition and birthweight during normal pregnancy. METHODS One hundred pregnant women (aged 30.4 ± 5.6 years, mean ± SD) with prepregnancy body mass index = 24.1 ± 4.6 kg/m2 were seen prospectively during each trimester. At each visit they were submitted to anthropometric measurements, a fasting blood sampling, a 75-g oral glucose tolerance test, and a fetal ultrasonogram. At birth, neonates had birth weight measurement. RESULTS In the second trimester, maternal sclerostin concentrations correlated positively with fetal abdominal circumference and birth weight; maternal sRANKL concentrations correlated positively with fetal abdominal subcutaneous fat thickness, sagittal abdominal diameter, and abdominal circumference. Fetuses born to mothers with greater (>254 ng/mL), compared to fetuses born to mothers with lower (≤254ng/mL), sRANKL concentrations had greater abdominal circumference, sagittal diameter, and abdominal subcutaneous fat thickness. Maternal serum sclerostin concentrations were the best positive predictors of birth weight. In the third trimester maternal sclerostin concentrations correlated positively with fetal sagittal abdominal diameter; maternal sRANKL concentrations positively correlated with fetal abdominal circumference and fetal abdominal sagittal diameter. CONCLUSIONS Maternal bone markers sclerostin and sRANKL may relate to fetal intra-abdominal adipose tissue deposition through as yet unknown direct or indirect mechanisms, thus contributing to birthweight.
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Affiliation(s)
- George Mastorakos
- Unit of Endocrinology, Diabetes Mellitus and Metabolism, Aretaieion University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimosthenis Maliopoulos
- Unit of Endocrinology, Diabetes Mellitus and Metabolism, Aretaieion University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Spyridoula Kasioni
- Department Obstetrics and Gynecology, Helena Venizelou General District Hospital, Athens, Greece
| | - Alexandra Bargiota
- Department of Endocrinology and Metabolic Disorders, Medical School of Larissa, University of Thessaly, Larissa, Greece
| | | | - Chrysanthi Skevaki
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Philipps Universität Marburg, German Center for Lung Research (DZL), Marburg, Germany
| | - Ioannis Papassotiriou
- Department of Clinical Biochemistry, "Aghia Sophia" Children's Hospital, Athens, Greece
| | - Nikos Vrachnis
- Third Department of Obstetrics and Gynecology Department, Attikon Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - George Farmakides
- Department Obstetrics and Gynecology, Helena Venizelou General District Hospital, Athens, Greece
| | - Nikos F Vlahos
- Second Department of Obstetrics and Gynecology Department, Aretaieion University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Georgios Valsamakis
- Unit of Endocrinology, Diabetes Mellitus and Metabolism, Aretaieion University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- Department of Endocrinology and Metabolic Disorders, Medical School of Larissa, University of Thessaly, Larissa, Greece
- Warwick Medical School, Coventry, UK
- Second Department of Obstetrics and Gynecology Department, Aretaieion University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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Larciprete G, Valensise H, Barbati G, Di Pierro G, Jarvis S, Deaibess T, Gioia S, Giacomello F, Cirese E, Arduini D. Ultrasound-determined fetal subcutaneous tissue thickness for a birthweight prediction model. J Obstet Gynaecol Res 2007; 33:635-40. [PMID: 17845321 DOI: 10.1111/j.1447-0756.2007.00624.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
AIM The aim of this study was to explore a birthweight prediction model using ultrasound determined tissue thickness (SCTT) parameters. METHODS We measured routine ultrasonographic biometric parameters and in addition, fetal SCTT in 201 healthy singleton pregnancies. Mid-arm fat and lean mass, mid-thigh fat and lean mass, subscapular fat mass and abdominal fat mass (AFM) were measured in order to calculate a birthweight prediction model. Ultrasound measurements were analyzed using an 'anovarepeated measures model'. The growth rate (beta-slope) of the selected parameters was computed and the correlation coefficient with the birthweight and the Kendall rank correlation tau, were calculated. RESULTS From the ultrasound determined SCTT parameters, only abdominal circumference (AC), AFM, and MTLM showed a statistically significant trend. The beta-slope of mid-thigh lean mass was excluded since it exhibited significant correlation with the beta-slope of AFM. The final regression model could be calculated as: birthweight (gr.) = intercept +alpha(1)(AFM beta-slope) + alpha(2)(AC beta-slope), where alpha(1), alpha(2) represent regression coefficients. CONCLUSIONS We provide a graphical birthweight prediction model for clinical practice using conventional and specific ultrasound measurements of fetal subcutaneous tissue thickness. This model is based upon an overall analysis of the ultrasound estimated body components.
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Affiliation(s)
- Giovanni Larciprete
- Department of Perinatal Medicine, Tor Vergata University, and AFaR (Associazione Fatebenefratelli per la Ricerca), Fatebenefratelli Isola Tiberina Hospital, Rome, Italy.
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