Skeletal Maturation and Endocrine Health in Young Adults

Population-based, nationwide, cross-sectional, clinical study with already available early life exposure data including bio banked neonatal biological samples. An embedded design using the full 2006+2007 birth cohorts is used to demonstrate external validity of the clinically assessed cohort. We will obtain the necessary ethics and regulatory approval and individual consent from the participants who are all aged 18.

The overall aim of the project addresses whether the following sets of potential determinants are associated with young adult hormonal status, lipids, bone turnover markers, bone mineral density (BMD), fat mass and lean body mass at age 18 years: a) maternal risk factors during preconception and pregnancy; b) risk factors at birth; c) neonatal epigenetic signature; d) childhood risk factors.

Aim 1 - Epigenetics - Is peak bone mass and body size influenced by epigenetic profile for endocrine signals at birth? From the second trimester of pregnancy and until early adulthood, bone is gradually developed and shaped, with longitudinal growth dominating the later stages of fetal life, infancy, and childhood. This is followed by a period of rapid bone mineral accrual occurring up to and during puberty, with bone mass accretion ultimately reaching a plateau in young adult life. It is strongly suggested by prior research that epigenetic variation at birth can result from differences in maternal health, lifestyle, nutrition, smoking and medication usage and result in long-term changes in gene expression and metabolism.

As existing childhood cohorts either lack BMD information, suffer from significant cohort attrition, and low recruitment success, there is an opportunity to instead use national invitations to recruit directly into an efficient endocrine and bone outcomes study and use already archived biological material from early infancy and register data and obtain individual study subject consent.

Aim 2 - Endocrine status in young adulthood - Does maternal medication use and health issues prior to pregnancy or in pregnancy affect endocrine health in young adults? This question will be addressed using data from Danish national registers. While it is straightforward to link binary events data e.g., malformations or paediatric admissions (eg epilepsy, diabetes, failure to thrive) to registry capture of their maternal exposures, we will be obtaining detailed information about continuous outcomes including endocrine serum biochemistry (thyroid axis, GH axis, PTH-vitamin D-calcium axis, lipids, HbA1c), hair cortisol levels (a cumulative serum cortisol metric) as well as body composition and bone density metrics.

Aim 3 - DXA measured muscle, fat mass and lipid status in young adults - Do suboptimal conditions prior to pregnancy, during pregnancy, birth, and childhood, such as lifestyle, poor health and low socioeconomics adversely influence establishment of healthy body composition and lipid status in young adulthood? Detailed register-based information prior to pregnancy, about pregnancy, birth and childhood health will be used to identify areas open to prevention. Detailed information will be obtained via the Danish national health registers.

Statistical consideration - With a study population of 2,000, the power (given α=0.05) available to detect a 0.2 SD effect on a continuous outcome such as PBM for a risk factor with a population prevalence of 20% is 90%. With inclusion of 1,500 subjects, the corresponding study power is 90% for detection of an effect size of 0.24 SD or 80% for detection of an effect size of 0.2 SD. The study needs this resolving power to be able to address multiple contributing factors and for the inclusion of factors in the model that may have a population prevalence below 20%. Less common factors would, even if powerful drivers of skeletal health, be somewhat less useful in population impact even if successfully modified.

Biological material - All material for use in the current project will be stored in a research biobank during the current study during its term. Any remaining material is transferred to biobank for future research with the approval of the Danish Data Protection Agency. The purpose of the biobank is to ensure validation of the analysis methods used over time. The participants must give consent to the storage of their biological material in the biobank. It is completely optional if the participants want to donate their excess biological material to the biobank and if they do not want this, it does not affect their participation in the study. For new research, new consent must be obtained, but the Scientific Ethics Committee can grant exemption from the consent requirement.

All material will be stored in compliance with Danish legislation on data protection.

24 mL of blood will be drawn. All blood samples are encoded so that all samples are anonymized, and the key is under special protection and only with access for authorized personnel. All extra material will be kept in the biobank.

To ensure uniformity between neonatal and adolescent samples, DBS will be created from the freshly drawn whole blood. DBS are created by spotting 3x75µL onto a cotton filter paper of the same type used in 2006-2007. The cards are left overnight at ambient temperatures then transferred to -20C for long term storage. DNA is be extracted from two 3.2mm disks excised from the DBS card, then purified using magnetic silica beads. Finally, concentrations are measured using intercalating dyes.

All hair samples (minimum 20 mg per participant) will be encoded so that all samples are pseudonymised, and the key is under special protection and only with access for authorized personnel. All hair samples will be used in the analyses, and then discarded.

• Total Body Lean Mass [Срок оценки: Baseline]
• Total Body Lean Mass [Срок оценки: 2 years]
• Total Body Fat Mass [Срок оценки: Baseline]
• Total Body Fat Mass [Срок оценки: 2 years]
• High-Resolution Peripheral Quantitative Computed Tomography of The Distal Radius and Tibia [Срок оценки: Baseline]
• High-Resolution Peripheral Quantitative Computed Tomography of The Distal Radius and Tibia [Срок оценки: 2 years]
• Body Weight [Срок оценки: Baseline]
• Body Weight [Срок оценки: 2 years]
• Height [Срок оценки: Baseline]
• Height [Срок оценки: 2 years]
• Body Mass Index [Срок оценки: Baseline]
• Body Mass Index [Срок оценки: 2 years]