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Maternity Log study: a longitudinal lifelog monitoring and multiomics analysis for the early prediction of complicated pregnancy
- Source :
- BMJ Open
- Publication Year :
- 2019
- Publisher :
- BMJ Publishing Group, 2019.
-
Abstract
- PurposeA prospective cohort study for pregnant women, the Maternity Log study, was designed to construct a time-course high-resolution reference catalogue of bioinformatic data in pregnancy and explore the associations between genomic and environmental factors and the onset of pregnancy complications, such as hypertensive disorders of pregnancy, gestational diabetes mellitus and preterm labour, using continuous lifestyle monitoring combined with multiomics data on the genome, transcriptome, proteome, metabolome and microbiome.ParticipantsPregnant women were recruited at the timing of first routine antenatal visits at Tohoku University Hospital, Sendai, Japan, between September 2015 and November 2016. Of the eligible women who were invited, 65.4% agreed to participate, and a total of 302 women were enrolled. The inclusion criteria were age ≥20 years and the ability to access the internet using a smartphone in the Japanese language.Findings to dateStudy participants uploaded daily general health information including quality of sleep, condition of bowel movements and the presence of nausea, pain and uterine contractions. Participants also collected physiological data, such as body weight, blood pressure, heart rate and body temperature, using multiple home healthcare devices. The mean upload rate for each lifelog item was ranging from 67.4% (fetal movement) to 85.3% (physical activity), and the total number of data points was over 6 million. Biospecimens, including maternal plasma, serum, urine, saliva, dental plaque and cord blood, were collected for multiomics analysis.Future plansLifelog and multiomics data will be used to construct a time-course high-resolution reference catalogue of pregnancy. The reference catalogue will allow us to discover relationships among multidimensional phenotypes and novel risk markers in pregnancy for the future personalised early prediction of pregnancy complications.
- Subjects :
- Adult
medicine.medical_specialty
Proteome
Nausea
03 medical and health sciences
Young Adult
0302 clinical medicine
Japan
Pregnancy
Health care
Obstetrics and Gynaecology
medicine
Humans
Prospective Studies
Prospective cohort study
Life Style
030304 developmental biology
0303 health sciences
Cohort Profile
Obstetrics
business.industry
Microbiota
Computational Biology
General Medicine
prediction
Middle Aged
medicine.disease
Gestational diabetes
Pregnancy Complications
complicated pregnancy
Blood pressure
lifelog
multi-omics analysis
030220 oncology & carcinogenesis
Fetal movement
Metabolome
Defecation
Female
medicine.symptom
business
Transcriptome
Subjects
Details
- Language :
- English
- ISSN :
- 20446055
- Volume :
- 9
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- BMJ Open
- Accession number :
- edsair.doi.dedup.....6f14fba9b9ad2767c72dfcf234794647