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Lindberger E, Ahlsson F, Junus K, Wikström AK, Sundström Poromaa I. Combined maternal central adiposity measures in relation to infant birth size. Sci Rep 2024; 14:725. [PMID: 38184682 PMCID: PMC10771412 DOI: 10.1038/s41598-024-51274-6] [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: 08/29/2023] [Accepted: 01/03/2024] [Indexed: 01/08/2024] Open
Abstract
Improvement of prenatal identification of large-for-gestational-age (LGA) infants could lower the risk for adverse outcomes. Therefore, we sought to evaluate the association of a combination of maternal waist circumference (WC) and abdominal fat depths with infant birth size. A cohort study including 1240 women was performed between 2015 and 2018 at Uppsala University Hospital, Sweden. Maternal WC was measured at the first antenatal visit, and visceral (VF) and subcutaneous (SCF) fat depths by ultrasound at the second-trimester anomaly scan. Waist circumference, VF, and SCF were categorized as low or high (cut-offs WC ≥ 88 cm, VF ≥ 54 mm, SCF ≥ 21 mm). Outcomes were birth weight standard deviation score (BWSDS) and LGA (BWSDS > 90th and > 97th percentile). Secondary outcome was small-for-gestational-age (SGA, BWSDS < 10th and < 3rd percentile). Univariate analysis of variance and logistic regression analyses were performed adjusted for maternal weight, height, parity, smoking, country of birth, pregestational diabetes, and chronic hypertension. For both high and low WC, high VF was positively associated with BWSDS and LGA. There was no association with SGA. The results did not demonstrate any value of the combination of WC and fat depth measures in predicting infant birth size but suggested VF as a marker for large infants.
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Affiliation(s)
- Emelie Lindberger
- Department of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden.
| | - Fredrik Ahlsson
- Department of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden
| | - Katja Junus
- Department of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden
| | - Anna-Karin Wikström
- Department of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden
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Strobel KM, Kafali SG, Shih SF, Artura AM, Masamed R, Elashoff D, Wu HH, Calkins KL. Pregnancies complicated by gestational diabetes and fetal growth restriction: an analysis of maternal and fetal body composition using magnetic resonance imaging. J Perinatol 2023; 43:44-51. [PMID: 36319757 PMCID: PMC9840659 DOI: 10.1038/s41372-022-01549-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 10/19/2022] [Accepted: 10/20/2022] [Indexed: 01/15/2023]
Abstract
INTRODUCTION Maternal body composition may influence fetal body composition. OBJECTIVE The objective of this pilot study was to investigate the relationship between maternal and fetal body composition. METHODS Three pregnant women cohorts were studied: healthy, gestational diabetes (GDM), and fetal growth restriction (FGR). Maternal body composition (visceral adipose tissue volume (VAT), subcutaneous adipose tissue volume (SAT), pancreatic and hepatic proton-density fat fraction (PDFF) and fetal body composition (abdominal SAT and hepatic PDFF) were measured using MRI between 30 to 36 weeks gestation. RESULTS Compared to healthy and FGR fetuses, GDM fetuses had greater hepatic PDFF (5.2 [4.2, 5.5]% vs. 3.2 [3, 3.3]% vs. 1.9 [1.4, 3.7]%, p = 0.004). Fetal hepatic PDFF was associated with maternal SAT (r = 0.47, p = 0.02), VAT (r = 0.62, p = 0.002), and pancreatic PDFF (r = 0.54, p = 0.008). When controlling for maternal SAT, GDM increased fetal hepatic PDFF by 0.9 ([0.51, 1.3], p = 0.001). CONCLUSION In this study, maternal SAT, VAT, and GDM status were positively associated with fetal hepatic PDFF.
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Affiliation(s)
- Katie M. Strobel
- Department of Pediatrics, Division of Neonatology & Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA
| | - Sevgi Gokce Kafali
- Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Shu-Fu Shih
- Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | | | - Rinat Masamed
- Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - David Elashoff
- University of California Los Angeles, Los Angeles, CA, USA
| | - Holden H. Wu
- Department of Medicine, Biostatistics and Computational Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Kara L. Calkins
- Department of Pediatrics, Division of Neonatology & Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA
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Maternal Blood-Based Protein Biomarkers in Relation to Abdominal Fat Distribution Measured by Ultrasound in Early Mid-Pregnancy. Reprod Sci 2022; 29:2333-2341. [PMID: 35147910 PMCID: PMC9352629 DOI: 10.1007/s43032-022-00876-4] [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: 09/07/2021] [Accepted: 02/05/2022] [Indexed: 12/28/2022]
Abstract
The objective of this study was to examine the associations of early mid-pregnancy ultrasound measured visceral and subcutaneous fat depths with blood-based protein biomarkers. This was a cross-sectional study including 201 pregnant women at Uppsala University Hospital, Sweden. The mean age of the women was 31.0 years, and 57.7% were nulliparous. Maternal visceral and subcutaneous fat depths were measured by ultrasound at the early second-trimester anomaly scan. A non-fasting blood sample was collected in conjunction with the second-trimester anomaly scan, and the Olink cardiovascular II panel was used to measure 92 blood-based protein biomarkers in the sample. Cross-sectional associations of visceral and subcutaneous fat depths with blood-based protein biomarkers were examined using Mann-Whitney U tests with false discovery rate adjustments. In addition, linear regression analyses adjusting for maternal age, parity, and early pregnancy body mass index were performed. The results showed differences in one biomarker between women with elevated (≥ 52 mm) versus normal (< 52 mm) visceral fat depth, and in three biomarkers between women with elevated (≥ 22 mm) versus normal (< 22 mm) subcutaneous fat depth. Hence, levels of blood-based protein biomarkers differ between pregnant women with dissimilar body fat distributions, which might reflect disparities in biological pathways.
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Selen DJ, Edelson PK, James K, Corelli K, Hivert MF, Meigs JB, Thadhani R, Ecker J, Powe CE. Physiological subtypes of gestational glucose intolerance and risk of adverse pregnancy outcomes. Am J Obstet Gynecol 2022; 226:241.e1-241.e14. [PMID: 34419453 PMCID: PMC8810751 DOI: 10.1016/j.ajog.2021.08.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 08/10/2021] [Accepted: 08/16/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND Women with gestational glucose intolerance, defined as an abnormal initial gestational diabetes mellitus screening test, are at risk of adverse pregnancy outcomes even if they do not have gestational diabetes mellitus. Previously, we defined the physiological subtypes of gestational diabetes mellitus based on the primary underlying physiology leading to hyperglycemia and found that women with different subtypes had differential risks of adverse outcomes. Physiological subclassification has not yet been applied to women with gestational glucose intolerance. OBJECTIVE We defined the physiological subtypes of gestational glucose intolerance based on the presence of insulin resistance, insulin deficiency, or mixed pathophysiology and aimed to determine whether these subtypes are at differential risks of adverse outcomes. We hypothesized that women with the insulin-resistant subtype of gestational glucose intolerance would have the greatest risk of adverse pregnancy outcomes. STUDY DESIGN In a hospital-based cohort study, we studied women with gestational glucose intolerance (glucose loading test 1-hour glucose, ≥140 mg/dL; n=236) and normal glucose tolerance (glucose loading test 1-hour glucose, <140 mg/dL; n=1472). We applied homeostasis model assessment to fasting glucose and insulin levels at 16 to 20 weeks' gestation to assess insulin resistance and deficiency and used these measures to classify women with gestational glucose intolerance into subtypes. We compared odds of adverse outcomes (large for gestational age birthweight, neonatal intensive care unit admission, pregnancy-related hypertension, and cesarean delivery) in each subtype to odds in women with normal glucose tolerance using logistic regression with adjustment for age, race and ethnicity, marital status, and body mass index. RESULTS Of women with gestational glucose intolerance (12% with gestational diabetes mellitus), 115 (49%) had the insulin-resistant subtype, 70 (27%) had the insulin-deficient subtype, 40 (17%) had the mixed pathophysiology subtype, and 11 (5%) were uncategorized. We found increased odds of large for gestational age birthweight (primary outcome) in women with the insulin-resistant subtype compared with women with normal glucose tolerance (odds ratio, 2.35; 95% confidence interval, 1.43-3.88; P=.001; adjusted odds ratio, 1.74; 95% confidence interval, 1.02-3.48; P=.04). The odds of large for gestational age birthweight in women with the insulin-deficient subtype were increased only after adjustment for covariates (odds ratio, 1.69; 95% confidence interval, 0.84-3.38; P=.14; adjusted odds ratio, 2.05; 95% confidence interval, 1.01-4.19; P=.048). Among secondary outcomes, there was a trend toward increased odds of neonatal intensive care unit admission in the insulin-resistant subtype in an unadjusted model (odds ratio, 2.09; 95% confidence interval, 0.99-4.40; P=.05); this finding was driven by an increased risk of neonatal intensive care unit admission in women with the insulin-resistant subtype and a body mass index of <25 kg/m2. Infants of women with other subtypes did not have increased odds of neonatal intensive care unit admission. The odds of pregnancy-related hypertension in women with the insulin-resistant subtype were increased (odds ratio, 2.09; 95% confidence interval, 1.31-3.33; P=.002; adjusted odds ratio, 1.77; 95% confidence interval, 1.07-2.92; P=.03) compared with women with normal glucose tolerance; other subtypes did not have increased odds of pregnancy-related hypertension. There was no difference in cesarean delivery rates in nulliparous women across subtypes. CONCLUSION Insulin-resistant gestational glucose intolerance is a high-risk subtype for adverse pregnancy outcomes. Delineating physiological subtypes may provide opportunities for a more personalized approach to gestational glucose intolerance.
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Affiliation(s)
- Daryl J Selen
- Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA
| | - P Kaitlyn Edelson
- Harvard Medical School, Boston, MA; Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA; Department of Obstetrics and Gynecology, Pennsylvania Hospital, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Pennsylvania Hospital, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Kaitlyn James
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA
| | - Kathryn Corelli
- Harvard Medical School, Boston, MA; Department of Medicine, Massachusetts General Hospital, Boston, MA
| | - Marie-France Hivert
- Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - James B Meigs
- Harvard Medical School, Boston, MA; Department of Medicine, Massachusetts General Hospital, Boston, MA; Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA
| | - Ravi Thadhani
- Harvard Medical School, Boston, MA; Mass General Brigham, Boston, MA
| | - Jeffrey Ecker
- Harvard Medical School, Boston, MA; Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA
| | - Camille E Powe
- Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA.
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Associations of ultrasound estimated early mid pregnancy visceral and subcutaneous fat depths and early pregnancy BMI with adverse neonatal outcomes. Sci Rep 2021; 11:4612. [PMID: 33633228 PMCID: PMC7907247 DOI: 10.1038/s41598-021-84045-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 02/11/2021] [Indexed: 12/02/2022] Open
Abstract
This study investigated whether maternal central adiposity and body mass index (BMI) were associated with neonatal hypoglycemia and adverse neonatal outcomes. A cohort study was performed at Uppsala University Hospital, Sweden, between 2015 and 2018. Visceral and subcutaneous fat depths were measured by ultrasound at the early second-trimester anomaly scan in 2771 women giving birth to singleton infants. Body mass index was assessed in early pregnancy. Logistic regression models were performed. Adjustments were made for age, BMI (not in model with BMI as exposure), smoking, maternal country of birth, and parity. Outcomes were neonatal hypoglycemia (blood glucose concentration < 2.6 mmol/l), a composite of adverse neonatal outcomes (Apgar < 7 at 5 min of age, or umbilical artery pH ≤ 7.0, or admission to neonatal intensive care unit), and the components of the composite outcome. Visceral and subcutaneous fat depths measured by ultrasound in early mid pregnancy were not associated with any of the outcomes in adjusted analyses. For every unit increase in BMI, the likelihood of neonatal hypoglycemia increased by 5% (aOR 1.05, 95% CI 1.01–1.10), the composite outcome by 5% (aOR 1.05, 95% CI 1.01–1.08), and admission to neonatal intensive care unit by 6% (aOR 1.06, 95% CI 1.02–1.10).
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