The MothersBabies Study, an Australian Prospective Cohort Study Analyzing the Microbiome in the Preconception and Perinatal Period to Determine Risk of Adverse Pregnancy, Postpartum, and Child-Related Health Outcomes: Study Protocol.
Naomi StroutLana PasicChloe HicksXin-Yi ChuaNiki TashvighiPhoebe ButlerZhixin LiuFatima El-AssaadElaine HolmesDaniella SusicKatherine SamarasMaria E CraigGregory K DavisAmanda HenryWilliam L LedgerEmad M El-OmarPublished in: International journal of environmental research and public health (2023)
The microbiome has emerged as a key determinant of human health and reproduction, with recent evidence suggesting a dysbiotic microbiome is implicated in adverse perinatal health outcomes. The existing research has been limited by the sample collection and timing, cohort design, sample design, and lack of data on the preconception microbiome. This prospective, longitudinal cohort study will recruit 2000 Australian women, in order to fully explore the role of the microbiome in the development of adverse perinatal outcomes. Participants are enrolled for a maximum of 7 years, from 1 year preconception, through to 5 years postpartum. Assessment occurs every three months until pregnancy occurs, then during Trimester 1 (5 + 0-12 + 6 weeks gestation), Trimester 2 (20 + 0-24 + 6 weeks gestation), Trimester 3 (32 + 0-36 + 6 weeks gestation), and postpartum at 1 week, 2 months, 6 months, and then annually from 1 to 5 years. At each assessment, maternal participants self-collect oral, skin, vaginal, urine, and stool samples. Oral, skin, urine, and stool samples will be collected from children. Blood samples will be obtained from maternal participants who can access a study collection center. The measurements taken will include anthropometric, blood pressure, heart rate, and serum hormonal and metabolic parameters. Validated self-report questionnaires will be administered to assess diet, physical activity, mental health, and child developmental milestones. Medications, medical, surgical, obstetric history, the impact of COVID-19, living environments, and pregnancy and child health outcomes will be recorded. Multiomic bioinformatic and statistical analyses will assess the association between participants who developed high-risk and low-risk pregnancies, adverse postnatal conditions, and/or childhood disease, and their microbiome for the different sample types.
Keyphrases
- pregnancy outcomes
- gestational age
- preterm birth
- birth weight
- pregnant women
- mental health
- heart rate
- blood pressure
- physical activity
- preterm infants
- human health
- heart rate variability
- study protocol
- randomized controlled trial
- polycystic ovary syndrome
- sars cov
- emergency department
- adverse drug
- body mass index
- cross sectional
- machine learning
- clinical trial
- body composition
- insulin resistance
- climate change
- depressive symptoms
- deep learning
- metabolic syndrome
- young adults
- artificial intelligence
- psychometric properties
- double blind
- type diabetes
- wound healing
- soft tissue