Cohort Profile: InTraUterine sampling in early pregnancy (ITU), a prospective pregnancy cohort study in Finland: study design and baseline characteristics

Tuomas Kvist, Sara Sammallahti, Marius Lahti-Pulkkinen, Cristiana Cruceanu, Darina Czamara, Linda Dieckmann, Alina Tontsch, Simone Röh, Monika Rex-Haffner, Elina Wolford, Rebecca M Reynolds, Johan G. Eriksson, Sanna Suomalainen-König, Hannele Laivuori, Eero Kajantie, Eija Lahdensuo, Elisabeth B Binder, Katri Raikkonen

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Purpose: The InTraUterine sampling in early pregnancy (ITU) is a prospective pregnancy cohort study. The overarching aim of ITU is to unravel genomic, epigenomic, transcriptomic, endocrine, inflammatory, and metabolic maternal-placental-fetal mechanisms involved in the programming of health and disease after exposure to prenatal environmental adversity, such as maternal malnutrition, cardio-metabolic disorders, infections, medical interventions, mental disorders and psychosocial stress. This paper describes the study protocol, design and baseline characteristics of the cohort.
Participants: We included 944 pregnant Finnish women, their partners and children born alive between 4/2012 and 12/2017. The women were recruited through the national, voluntary trisomy 21 screening between 9+0−21+6 gestational weeks. Of the participating women, 543 were screen-positive and underwent fetal chromosomal testing. Test result of these women suggested no fetal chromosomal abnormality. Further, we recruited 401 women who were screen-negative and who did not undergo fetal chromosomal testing.
Findings to date: We have collected chorionic villi and amniotic fluid from the screen positive women, blood, urine, buccal swabs and diurnal salivary samples from all women, blood and buccal swabs from all partners, and placenta,cord blood and buccal swabs from all newborns for analyses of the genome, epigenome, transcriptome, and endocrine, inflammatory, and metabolic markers. These data are coupled with comprehensive phenotypes, including questions on demographic characteristics, health and well-being of the women and their partners during pregnancy and of the women and their children at the child’s age of 1.7 and 3 years. Data also comes from patient records and nationwide registers covering health, lifestyle and medication data.
Future plans: Multiple layers of ITU data allow integrative data analyses, which translate to biomarker identification and allow risk stratification and understanding of the biological mechanisms involved in prenatal programming of health and disease.
Original languageEnglish
JournalBMJ Open
Publication statusPublished - 31 Jan 2022


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