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Skeletal Maturation and Endocrine Health in Young Adults

Early Life Determinants of Skeletal Maturation and Endocrine Health in Young Adults - A Nationwide Birth Cohort Study

Status
Enrolling by invitation
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06509776
Acronym
EPIPEAK
Enrollment
2000
Registered
2024-07-19
Start date
2024-11-11
Completion date
2031-09-30
Last updated
2025-01-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiovascular Diseases, Obesity, Osteoporosis, Sarcopenia

Keywords

Bone and Bones, Bone mineralization, Bone mineral density, Bone density, Endocrinology, Hormones, Thyroid Hormones, Parathyroid Hormone, Puberty, Adolescent, Glucocorticoids, Genetics, Human Genetics, Epigenomics, Neonatal Screening, Body Composition, Cohort Study, Epidemiology, Phenotype

Brief summary

Diseases which can be the result of poor lifestyle choices in adult life, such as osteoporosis, obesity or poor muscle mass (sarcopenia) can also be driven by heritable genetic factors. More surprisingly, perhaps, the genes we inherit from our parents can be modified as a result of influences that affected the health and pregnancy of our mothers and hence the environment experienced in the womb and at birth. The purpose of this study is to investigate which factors are needed for good bone health and hormonal health in young adulthood as well as good muscle mass and normal fat mass, and how this is influenced by factors before birth and by childhood health. Specifically, we will measure bone mass and body composition in young adults (18 years of age) and measure hormones in blood and in hair samples. The clinical visits will be available nationwide at several centers to make participation swift and easy for participants. The changes (known as epigenetic modification) to genes at birth will be studied in dried blood spot samples stored from birth 18 years ago in the Danish Serum Institute and we will use national health registers to identify factors during pregnancy and in childhood that contribute to health effects at age 18.

Detailed description

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.

Interventions

None listed

Sponsors

Aarhus University Hospital
CollaboratorOTHER
Aalborg University Hospital
CollaboratorOTHER
University of Southern Denmark
CollaboratorOTHER
University Hospital Bispebjerg and Frederiksberg
CollaboratorOTHER
Zealand University Hospital
CollaboratorOTHER
Odense University Hospital
CollaboratorOTHER
Rigshospitalet, Denmark
CollaboratorOTHER
Statens Serum Institut
CollaboratorOTHER
Hvidovre University Hospital
CollaboratorOTHER
Holbaek Sygehus
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 19 Years

Inclusion criteria

* Individuals (n = 2000) born in Denmark in 2006 or 2007 * Are 18 years old and alive at the time of the clinical examination

Exclusion criteria

* Pregnancy or lactation * No DBS samples available * Lack of consent to use DBS samples or national health registries * Emigration or disappearance

Design outcomes

Primary

MeasureTime frameDescription
Bone Mineral Content of Spine, Hip and Whole-bodyBaselineThe Dual-energy X-ray Absorptiometry (DXA) measures the bone mineral content (BMC) in the spine, hip and whole-body.
Bone Area of Spine, Hip and Whole-bodyBaselineThe Dual-energy X-ray Absorptiometry (DXA) measures the bone area (BA) of the spine, hip and whole-body.
Bone Mineral Density of Spine, Hip and Whole-bodyBaselineThe Dual-energy X-ray Absorptiometry (DXA) measures the bone mineral density (BMD) of the spine, hip and whole-body.

Secondary

MeasureTime frameDescription
High-Resolution Peripheral Quantitative Computed Tomography of The Distal Radius and TibiaBaselineHigh-resolution peripheral quantitative computed tomography (HRpQCT) of the distal radius and tibia will provide structural information including cortical thickness, trabecular number, trabecular thickness and volumetric bone mineral density (vBMD)
Body WeightBaselineWeight will be measured to the nearest 0.1 kg on an electronic scale with participants wearing light clothing. Measurement will be carried out barefoot.
HeightBaselineHeight will be measured to the nearest 0.5 cm using a portable stadiometer. Measurement will be carried out barefoot
Body Mass IndexBaselineBody Mass Index (BMI) will be calculated based on the participant's weight and height
Hip CircumferenceBaselineThe hip circumference will be measured using a measuring tape to the nearest 0.5 cm. At least two measurements will be performed and a third will be made if the two differs by more than 1 cm
Waist-Hip RatioBaselineThe waist-hip ratio is calculated using the waist and hip circumference
Endocrine StatusBaselineBlood will be drawn for plasma analyses for endocrine status
Endocrine Status and Bone Markers of Bone MetabolismBaselineBlood will be drawn for plasma analyses for endocrine status and biomarkers of bone metabolism (PINP and CTX)
Hair Cortisol ConcentrationsBaselineThe hair samples will be cut from the posterior apex as close to the scalp as possible (minimum 20 mg per participant). Cortisol extracted from the hair will be analysed via the Elisa method
Blood PressureBaselineResting blood pressure will be measured
Waist CircumferenceBaselineThe waist circumference will be measured using a measuring tape to the nearest 0.5 cm. At least two measurements will be performed and a third will be made if the two differs by more than 1 cm
Total Body Lean MassBaselineThe Dual-energy X-ray Absorptiometry (DXA) measures the whole-body densitometry, providing information on total body lean mass in kg.
Total Body Fat MassBaselineThe Dual-energy X-ray Absorptiometry (DXA) measures the whole-body densitometry, providing information on total body fat mass in kg.

Other

MeasureTime frameDescription
Self-reported StressBaselineInformation about well-being will be collected by electronic questionnaire, using the World Health Organization Well-Being index (WHO-5): (1) 'I have felt cheerful and in good spirits', (2) 'I have felt calm and relaxed', (3) 'I have felt active and vigorous', (4) 'I woke up feeling fresh and rested' and (5) 'My daily life has been filled with things that interest me'. The respondent is asked to rate how well each of the 5 statements applies to him or her when considering the last 14 days. Each of the 5 items is scored from 5 (all of the time) to 0 (none of the time). Score ranges from 0 (absence of well-being) to 25 (maximal well-being).
Self-reported HearingBaselineInformation about tinnitus will be collected by electronic questionnaire. The respondent is asked the following five questions: (1) 'After listening to loud music or other sounds/noise, have you then heard any form of sounds in your head or ears, even after turning off the loud music or noise?', (2) 'Do you ever experience sounds in your head or ears without listening to loud music or other sounds first?', (3) 'Are you experiencing it today?', (4) 'Does the sound bother you?' and (5) 'How worried are you that sound can harm your hearing?'. The questions 1 to 3 are answered as yes or no. Question 4 is answered as not bothered; a little bothered or very bothered. Question 5 is I am not concerned; I am a little concerned or I am seriously concerned.
Self-reported SleepBaselineInformation about sleep will be collected by electronic questionnaire. The respondent is asked about what time he or she goes to sleep and wakes up on the weekdays and weekends/holidays, as well as five elaborating questions about their sleeping pattern: (1) 'How often do you have poor or restless sleep?', (2) 'How often do you have trouble falling asleep?', (3) 'How often do you wake up too early in the morning?', (4) 'How often do you wake up multiple times at night and have trouble falling asleep again?' and (5) 'Do you snore loudly when you sleep?'. Each of the 5 items is scored from 4 (every day or almost every day) to 1 (rarely or never).

Countries

Denmark

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026