Impact of Maternal Lifestyle and Dietary Habits during Pregnancy on Newborn Metabolic Profile.
Ilaria CicaliniSamanta MoffaMaria Lucia TommoliniSilvia ValentinuzziMirco ZucchelliInes BucciPiero ChiacchiarettaAntonella FontanaLuca FedericiVincenzo De LaurenziPiero Del BoccioClaudia RossiDamiana PieragostinoPublished in: Nutrients (2023)
Expanded newborn screening (NBS) is a preventive program that allows for the early identification of over 40 congenital endocrine-metabolic diseases by analyzing dried blood spot samples collected from the newborn's heel within 48-72 h of birth. The determination of amino acids and acyl-carnitines by Flow Injection Analysis Tandem Mass Spectrometry (FIA-MS/MS) may also highlight metabolic alterations resulting from external factors, such as maternal nutrition. In the present study, we developed a questionnaire to investigate the eating habits of 109 women during pregnancy and statistically correlated the results from the investigation on dietary habits with the data obtained by the NBS laboratory of Abruzzo region (Italy). Parameters such as smoking, physical activity, and the intake of iodized salt, drugs, and supplements were analyzed. This study aimed to highlight how maternal lifestyle, diet, and drug intake during pregnancy may affect the neonatal metabolic profile, possibly generating false positive or false negative results in the NBS test. The results pointed out how the knowledge of maternal nutrition and lifestyle may also be precious in preventing misinterpretations of the neonatal metabolic profile, thereby reducing unnecessary stress for newborns and their parents and limiting costs for the health system.
Keyphrases
- physical activity
- pregnancy outcomes
- weight loss
- tandem mass spectrometry
- birth weight
- metabolic syndrome
- ms ms
- cardiovascular disease
- high performance liquid chromatography
- healthcare
- pregnant women
- ultra high performance liquid chromatography
- solid phase extraction
- emergency department
- body mass index
- mass spectrometry
- weight gain
- liquid chromatography
- polycystic ovary syndrome
- big data
- high resolution
- adipose tissue
- machine learning
- type diabetes
- electronic health record
- ultrasound guided
- stress induced
- drug induced
- data analysis
- preterm infants