Medical University of Graz
Graz, Styria, 8043, Austria
NCT Number: NCT05496712
This prospective observational study investigates the interaction of maternal physical activity (PA) and body composition during pregnancy with prenatal Human Milk Oligosaccharide (HMO) concentrations, and assesses associations of HMOs with fetal/neonatal outcomes.
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Female
Observational
Graz, Styria, 8043, Austria
Maternal obesity is a known risk factor for adverse short- and long-term health outcomes for the offspring. In non-pregnant individuals, obesity can alter glucose and fat metabolism, and induce a low-grade inflammation. Pregnancy is a natural state of low-grade inflammation in the mother and the feto-placental unit, and the severity of this inflammation increases with higher pre-gravid BMI. Consequently, in pregnant women, obesity could account for an altered intrauterine environment that might affect fetal development and programming.
Regular physical activity (PA) is associated with a reduced inflammatory state. PA has been determined as a major factor contributing to fetal growth and body composition, besides maternal nutrition, gestational diabetes and obesity.
Human milk oligosaccharides (HMOs), highly bioactive factors in breast milk, but also present in the systemic circulation of pregnant women, may be one of the factors altered by metabolic changes seen in obesity, which might have an impact on the health of the offspring. HMOs have been implicated in multiple beneficial effects for the breast-fed infant, and also have anti-inflammatory and immuno-modulating effects.
HMOs are found in the urine of pregnant and lactating women, indicating that HMO circulate in the maternal blood system during pregnancy and throughout lactation. HMOs can also be detected in umbilical cord blood, suggesting either transplacental transfer or fetal production and release, raising the question whether maternal and fetal HMOs have a health impact on mother and fetus and, consequently, could be monitored as potential biomarkers for adverse pregnancy outcomes.
More than 150 HMO structures are known, and HMO composition and concentration in breast milk vary significantly between mothers and also within one mother due to different stages of lactation. Genetic factors and potentially also environmental factors contribute to the composition of HMOs in an individual. Different prenatal HMO profiles could potentially affect maternal and fetal health. Whether HMO composition and concentrations are different in women with overweight or obesity is not known. Exposure to a changed intrauterine environment could potentially pose a risk factor for certain pregnancy outcomes or cause aberrant fetal programming. At the same time, lifestyle factors that can counteract some obesity-induced metabolic changes such as physical activity and diet could potentially also have an effect on HMO concentration/composition.
The overall objective of the study is to investigate the interaction of maternal physical activity on HMOs in maternal and fetal circulation.
Specific Aims are:
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 6 months
HMOs will be analysed in maternal blood by high pressure liquid chromatography (HPLC) with fluorescence detection
Time frame: 6 months
HMOs will be analysed in fetal (umbilical cord) blood by high pressure liquid chromatography (HPLC) with fluorescence detection
Time frame: 6 months
HMOs will be analysed in maternal urine by high pressure liquid chromatography (HPLC) with fluorescence detection
Time frame: 6 months
HMOs will be analysed in colostrum by high pressure liquid chromatography (HPLC) with fluorescence detection
Time frame: 6 months
fetal growth (longitudinal ultrasound measurements)
Time frame: 6 months
infant weight at birth (scale)
Time frame: 6 months
Fetal body fat mass (measured by air displacement plethysmography, PEAPOD)
Time frame: 6 months
Fat free mass (measured by air displacement plethysmography, PEAPOD)
Time frame: 6 months
Subcutaneous adipose tissue thickness (measured by lipometer at 15 defined body sites)
Time frame: 6 months
Glucose
Time frame: 6 months
Insulin
Time frame: 6 months
C-peptide
Time frame: 6 months
Erythropoietin (measure for fetal hypoxia)
Time frame: 6 months
lipid profile (triglycerides, phospholipids, free fatty acids, HDL proteome)
Time frame: 6 months
Cytokines
Time frame: 6 months
Body mass index (BMI)
Time frame: 6 months
gestational weight gain
Time frame: 6 months
subcutaneous adipose tissue thickness (measured by lipometer at 15 defined body sites)
Time frame: 6 months
glucose
Time frame: 6 months
insulin
Time frame: 6 months
C-peptide
Time frame: 6 months
Leptin
Time frame: 6 months
Adiponectin
Time frame: 6 months
Lipid profile (triglycerides, phospholipids, free fatty acids, HDL/LDL/total cholesterol)
Time frame: 6 months
Cytokines
Time frame: 6 months
Utero-placental blood flow (ultrasound/Doppler)
Time frame: 6 months
fetal-placental blood flow (ultrasound/Doppler)
Time frame: 6 months
placental volume (ultrasound)
Time frame: 6 months
Cytokine mRNA
Time frame: 6 months
Macrophage density (number/tissue protein)
Time frame: 6 months
Treg density (number/tissue protein)
Time frame: 6 months
placental volume
Time frame: 6 months
Transcriptomic profile, RNAseq on a NovaSeq 6000 (Illumina)
Time frame: 6 months
Epigenomic profile measured by DNA methylation
Time frame: 6 months
From the extracted DNA, 16S rRNA genes will be amplified using specific primers for bacterial and archaeal communities. The amplicons obtained will be prepared for Illumina MiSeq Sequencing.
Medical University of Graz
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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