| Literature DB >> 34367074 |
Satoru Ikenoue1, Yoshifumi Kasuga1, Toyohide Endo1, Mamoru Tanaka1, Daigo Ochiai1.
Abstract
Based on epidemiological and experimental evidence, the origins of childhood obesity and early onset metabolic syndrome can be extended back to developmental processes during intrauterine life. It is necessary to actively investigate antecedent conditions that affect fetal growth by developing reliable measures to identify variations in fetal fat deposition and body composition. Recently, the resolution of ultrasonography has remarkably improved, which enables better tissue characterization and quantification of fetal fat accumulation. In addition, fetal fractional limb volume has been introduced as a novel measure to quantify fetal soft tissue volume, including fat mass and lean mass. Detecting extreme variations in fetal fat deposition may provide further insights into the origins of altered fetal body composition in pathophysiological conditions (i.e., fetal growth restriction or fetal macrosomia), which are predisposed to the metabolic syndrome in later life. Further studies are warranted to determine the maternal or placental factors that affect fetal fat deposition and body composition. Elucidating these factors may help develop clinical interventions for altered fetal growth and body composition, which could potentially lead to primary prevention of the future risk of metabolic dysfunction.Entities:
Keywords: DOHaD; fetal body composition; fetal growth restriction; fetal subcutaneous fat; fetal ultrasound; fractional limb volume; macrosomia; predisposition
Mesh:
Year: 2021 PMID: 34367074 PMCID: PMC8339915 DOI: 10.3389/fendo.2021.708767
Source DB: PubMed Journal: Front Endocrinol (Lausanne) ISSN: 1664-2392 Impact factor: 5.555
Fetal fat mass measures predicting newborn adiposity.
| Author, publication year | N | Newborn adiposity measures | Gestational age at fetal ultrasonography | Fetal biometry | Correlation coefficient | p value | Covariates | |
|---|---|---|---|---|---|---|---|---|
| Parameter | Device | |||||||
| Ikenoue et al. ( | 109 | %BF | DXA | 20, 30 weeks | Arm percent fat area (30 weeks) | 0.45 | p<0.001 | GA, Parity, BMI, GWG, SES, Ethnicity, Obstetrical complications |
| Thigh percent fat area (30 weeks) | 0.26 | p<0.05 | ||||||
| FAST (30 weeks) | 0.21 | p<0.05 | ||||||
| O’Connor et al. ( | 62 | Fat mass | ADP | 28, 33, 38 weeks | FAST (38 weeks) | − | p<0.001 | smoking |
| Thigh fat thickness (38weeks) | − | p=0.004 | ||||||
| Thigh fat thickness (28weeks) | − | p=0.023 | ||||||
| Buhling et al. ( | 172 | Skinfold thickness | Anthropometry* | 37− weeks | FAST | 0.58 | p<0.001 | BMI, placental site, amniotic fluid volume |
| Thigh fat thickness | 0.64 | p<0.001 | ||||||
| Knight et al. ( | 106 | %BF | ADP | 36−40 weeks | Arm fat area | − | p<0.001 | − |
| Lee et al. ( | 87 | %BF | ADP | 38 weeks (mean) | Fractional thigh volume | 0.68 | p<0.001 | Age, parity, GA, sex, ethnicity, Obstetrical complications |
| Fractional arm volume | 0.62 | − | ||||||
| Estimated fetal weight | 0.55 | − | ||||||
| Abdominal circumference | 0.50 | − | ||||||
| Moyer-Mileur et al. ( | 47 | %BF | ADP | 35 week | Estimated fetal weight | 0.33 | p<0.05 | Parity, BMI, GWG, SES |
| Abdominal circumference | 0.37 | p<0.05 | ||||||
| Bernstein et al. ( | 36 | %BF | Anthropometry* | 19−40 weeks | Thigh fat area | 0.63 | p<0.001 | Age, Parity, BMI, GA, GWG, sex |
| Arm fat area | 0.45 | p<0.05 | ||||||
%BF, percent body fat; DXA, Dual-energy X-ray absorptiometry; ADP, air displacement plethysmography; FAST, fetal abdominal subcutaneous tissue; GA, gestational age; BMI, body mass index; GWG, gestational weight gain, SES, socioeconomical status.
*Sum of subcutaneous skinfold thickness.