The role of activation functions 1 and 2 of estrogen receptor-α for the effects of estradiol and selective estrogen receptor modulators in male mice

Estradiol (E2) is important for male skeletal health and the effect of E2 is mediated via estrogen receptor (ER)-α. This was demonstrated by the findings that men with an inactivating mutation in aromatase or a non-functional ERα had osteopenia and continued longitudinal growth after sexual maturation. The aim of the present study was to evaluate the role of different domains of ERα for the effects of E2 and SERMs on bone mass in males. Three mouse models lacking either ERαAF-1 (ERαAF-1(0)), ERαAF-2 (ERαAF-2(0)) or the total ERα (ERα(−/−)) were orchidectomized (orx) and treated with E2 or placebo. E2 treatment increased the trabecular and cortical bone mass and bone strength, while it reduced the thymus weight and bone marrow cellularity in orx wild type (WT) mice. These parameters did not respond to E2 treatment in orx ERα(−/−) or ERαAF-2(0) mice. However, the effects of E2 in orx ERαAF-1(0) mice were tissue-dependent, with a clear response in cortical bone parameters and bone marrow cellularity, but no response in trabecular bone. To determine the role of ERαAF-1 for the effects of SERMs, we treated orx WT and ERαAF-1(0) mice with Raloxifene (Ral), Lasofoxifene (Las), Bazedoxifene (Bza) or vehicle. These SERMs increased total body areal bone mineral density (BMD) and trabecular volumetric BMD to a similar extent in orx WT mice. Furthermore, only Las increased cortical thickness significantly and only Bza increased bone strength significantly. However, all SERMs showed a tendency towards increased cortical bone parameters. Importantly, all SERM-effects were absent in the orx ERαAF-1(0) mice. In conclusion, ERαAF-2 is required for the estrogenic effects on all evaluated parameters, while the role of ERαAF-1 is tissue specific. All evaluated effects of Ral, Las and Bza are dependent on a functional ERαAF-1. Our findings might contribute to the development of bone specific SERMs in males

Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. Interpretation The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks

Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight NCD Risk Factor Collaboration (NCD-RisC)

From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions

Pubertal timing predicts leg length and childhood body mass index predicts sitting height in young adult men

Objective To investigate the impact of pubertal timing and childhood body mass index (BMI), both within normal range, on adult anthropometrics. Study design Detailed growth charts were retrieved for the men participating in the population-based Gothenburg Osteoporosis and Obesity Determinants study. Age at peak height velocity and childhood BMI were calculated (n = 527), and anthropometric measurements were performed. Results Analysis of variance analysis of tertiles according to age at peak height velocity demonstrated that the early peak height velocity tertile had a lower adult height (180.9 ± 6.8 cm) compared with the middle tertile group (182.7 ± 6.9 cm, P < .05), and this difference was attributable to shorter leg length. No difference was seen for sitting height. In contrast, analysis of tertiles according to childhood BMI demonstrated low sitting height in the low BMI tertile (93.7 ± 3.3 cm for low, 94.6 ± 3.3, for middle, and 94.8 ± 3.3 cm for high childhood BMI tertiles, P < .05 and P < .01, respectively), but childhood BMI did not affect adult height and leg length. Conclusion We demonstrate that subjects with early pubertal timing have reduced adult height and leg length, and subjects with low childhood BMI have reduced adult sitting height. Thus childhood body composition and pubertal timing have different impact on trunk growth and growth of long bones

Improved infrastructure and support needed for paediatric clinical trials in Sweden

Aim: There is a lack of authorised medicines for paediatric patients and improved drug development is necessary. The aim of this study was to evaluate the need for infrastructure and support for paediatric clinical trials in Sweden. Methods: A web-based survey was sent to doctors and nurses involved in the care of neonates, children and adolescents assessing the current situation and future needs for paediatric clinical trials in Sweden. Questions regarding premises, competence, organisation, support for paediatric clinical trials and Good Clinical Practice Training were addressed. Results: In total, 137 individuals responded to the survey (109 doctors and 28 nurses). Overall, 61% of the respondents had previous experience of paediatric clinical trials. Some respondents had access to trial units, but only 34% had used the trial unit for support. Half of the responders were interested in recurrent paediatric Good Clinical Practice training. Doctors responded that clinical work often had to be prioritised and emphasised the need for research time. Conclusion: This study clearly shows the commitment for clinical trials among doctors and nurses involved in paediatric care in Sweden, but also that administrative, logistic and economic support in a sustainable setting and an expanded national collaboration are needed

Pubertal timing and adult fracture risk in men: A population-based cohort study

Background: Puberty is a critical period for bone mass accrual, and late puberty in boys is associated with reduced bone mass in adult men. The role of variations in pubertal timing within the normal range for adult fracture risk in men is, however, unknown. We, therefore, assessed the association between age at peak height velocity (PHV), an objective measure of pubertal timing, and fracture risk in adult men. Methods and findings: In the BMI Epidemiology Study Gothenburg, 31,971 Swedish men born between January 1, 1945, and December 31, 1961, with detailed growth data (height and weight) available from centrally archived school healthcare records and the conscription register were followed until December 31, 2016. Age at PHV was calculated according to a modified infancy–childhood–puberty model, and fracture information was retrieved from the Swedish National Patient Register. The mean ± SD age at PHV was 14.1 ± 1.1 years. In total, 5,872 men (18.4%) sustained at least 1 fracture after 20 years of age and 5,731 men (17.9%) sustained a non-vertebral fracture after 20 years of age during a mean ± SD follow-up of 37.3 ± 11.7 years. Cox proportional hazards models adjusted for birth year and country of origin revealed that age at PHV was associated with the risk of any fracture and non-vertebral fracture. Participants with age at PHV in the highest tertile (after 14.5 years of age) were at greater risk of any fracture (hazard ratio [HR] 1.15, 95% confidence interval [CI] 1.08–1.22, P < 0.001) and non-vertebral fracture (HR 1.16, 95% CI 1.09–1.24, P < 0.001) compared with those with age at PHV in the lowest tertile (at 13.6 years of age or younger). Additional adjustments for birthweight, childhood BMI, adult educational level, and young adult height did not attenuate the associations between age at PHV and adult fracture risk. Limitations of this study include the inability to adjust for important risk factors for fracture, inadequate power to assess the relation between pubertal timing and specific fracture types, and the limited generalizability to other populations. Conclusions: In this study, we observed that late pubertal timing was associated with increased adult fracture risk in men. These findings suggest that information on pubertal timing might aid in the identification of those men at greatest risk of fracture

Catch up in bone acquisition in young adult men with late normal puberty

The aim of this study was to investigate the development of bone mineral density (BMD) and bone mineral content (BMC) in relation to peak height velocity (PHV), and to investigate whether late normal puberty was associated with remaining low BMD and BMC in early adulthood in men. In total, 501 men (mean ± SD, 18.9 ± 0.5 years of age at baseline) were included in this 5‐year longitudinal study. Areal BMD (aBMD) and BMC, volumetric BMD (vBMD) and cortical bone size were measured using dual‐energy X‐ray absorptiometry (DXA) and pQCT. Detailed growth and weight charts were used to calculate age at PHV, an objective assessment of pubertal timing. Age at PHV was a strong positive predictor of the increase in aBMD and BMC of the total body (R2 aBMD 11.7%; BMC 4.3%), radius (R2 aBMD 23.5%; BMC 22.3%), and lumbar spine (R2 aBMD 11.9%; BMC 10.5%) between 19 and 24 years (p < 0.001). Subjects were divided into three groups according to age at PHV (early, middle, and late). Men with late puberty gained markedly more in aBMD and BMC at the total body, radius, and lumbar spine, and lost less at the femoral neck (p < 0.001) than men with early puberty. At age 24 years, no significant differences in aBMD or BMC of the lumbar spine, femoral neck, or total body were observed, whereas a deficit of 4.2% in radius aBMD, but not in BMC, was seen for men with late versus early puberty (p < 0.001). pQCT measurements of the radius at follow‐up demonstrated no significant differences in bone size, whereas cortical and trabecular vBMD were 0.7% (p < 0.001) and 4.8% (p < 0.05) lower in men with late versus early puberty. In conclusion, our results demonstrate that late puberty in males was associated with a substantial catch up in aBMD and BMC in young adulthood, leaving no deficits of the lumbar spine, femoral neck, or total body at age 24 years. © 2012 American Society for Bone and Mineral Research

Bone turnover markers predict bone mass development in young adult men: A five-year longitudinal study

Context: Peak bone mass is an important factor for the lifetime risk of developing osteoporosis. Ways to predict bone development in young adulthood are lacking. Objective and Main Outcome Measures: The aim of this study was to investigate whether baseline measurements of bone turnover markers could predict bone development in early adulthood in men. Design, Setting, and Participants: In total, 817 men (age at baseline, 18.9 ± 0.6 y; mean ± SD) from the population-based Gothenburg Osteoporosis and Obesity Determinants Study were included in this 5-year longitudinal study. Areal bone mineral density (aBMD) and bone mineral content (BMC) were measured using dual-energy x-ray absorptiometry, and volumetric BMD (vBMD) and cortical bone size were measured using peripheral quantitative computed tomography. Blood samples were collected at the baseline visit, and levels of osteocalcin (OC) and N-terminal telopeptide of type I collagen were analyzed. Results: OC was a positive predictor of the increase in aBMD and BMC of the total body (R2: aBMD, 6.6%; BMC, 4.9%), lumbar spine (R2: aBMD, 5.4%; BMC, 5.7%), and radius (R2: aBMD, 14.8%; BMC, 12.8%) between 19 and 24 years (P < .001). Men in the highest OC quartile at baseline (35.2 ± 4.4 ng/mL; mean ± SD) gained markedly more in radius cortical cross-sectional area (4.0 ± 4.3 vs 1.9 ± 2.9 mm2) and trabecular vBMD (11 ± 7 vs 3 ± 12 mg/mm3) than men in the lowest OC quartile at baseline (17.7 ± 2.3 ng/mL; mean ± SD) (P < .001). Conclusion: A high OC level at the age of 19 predicts a favorable development in BMD, BMC, and bone size between 19 and 24 years of age

Age at Adiposity Rebound Is Associated with Fat Mass in Young Adult Males—The GOOD Study

<div><h3>Objective</h3><p>Age at adiposity rebound (AR) is associated with obesity and Type 2 Diabetes in adults. The aim of the present study was to investigate the role of age at AR in adult fat mass, fat distribution and pubertal timing for a Swedish cohort.</p> <h3>Patients and Methods</h3><p>This is a retrospective cohort study. Detailed growth charts were retrieved for the men participating in the population-based GOOD (Gothenburg Osteoporosis and Obesity Determinants) study (n = 573). Body composition was analysed using dual X-ray absorptiometry and computed tomography at 18–20 years of age. Age and BMI at AR were calculated using pediatric growth charts and AR was defined as the lowest BMI between 3 and 9 years of age.</p> <h3>Results</h3><p>Subjects were divided into early (age at AR below 5.4 years of age), middle (age at AR 5.4 to 6.8 years of age) and late (age at AR after 6.8 years of age) age at AR tertiles. Subjects in the early age at AR tertile had higher young adult BMI (+8%), whole body fat mass (+34%) and amount of subcutaneous adipose tissue (+61%) than the subjects in the middle and late tertiles (p<0.01). The early age at AR tertile had an increased risk of obesity (Odds Ratio 4.1 [95% CI 1.2–13.9]) compared with the middle and late tertiles. In addition, the early age at AR tertile had Peak Height Velocity (PHV) 7 months earlier than the late tertile.</p> <h3>Conclusions</h3><p>Early age at AR was associated with young adult obesity as a consequence of a high amount of subcutaneous adipose tissue in men. In addition we made the novel observation that early age at AR was associated with an early puberty in men.</p> </div

Correlation analyses for age at AR.

<p>Pearson’s correlation coefficients are shown for associations with age at AR. All variables except age at AR and age at PHV have been log-transformed. AR = Adiposity rebound, BMI = body mass index, PHV = Peak Height Velocity, Sc = subcutaneous, Ip = Intraperitoneal, Rp = Retroperitoneal, AT = adipose tissue.</p