Effects of different exercise intensity on bone mineral density in adults: a comparative systematic review and meta-analysis.

PURPOSE: The primary objective of the present systematic review and meta-analysis was to determine the effect of differing exercise intensity on (areal) bone mineral density (BMD) at lumbar spine and hip in adults by a comparative meta-analysis. METHODS: A systematic review of the literature according to the PRISMA statement included: (a) exercise trials, (b) with ≥two study arms that compared different exercise intensities, (c) intervention ≥6 months, (d) BMD assessments at lumbar spine (LS) or hip. Five electronic databases were scanned without language restrictions up to July 2021. The present analysis of exercise intensity was conducted as a mixed-effect meta-analysis and applied "type of exercise" and "study duration" as moderator in subgroup analyses. Outcome measures were standardized mean differences (SMD) for BMD changes at the LS, and hip. RESULTS: Eleven exercise studies with 26 study arms were included. Although the effect of high-intensity exercise was more pronounced on LS-BMD (SMD: 0.19, 95%-CI: 0.61 to -0.23) and hip-ROI (0.17, 0.38 to -0.04), we did not observe significant differences between the groups (LS-BMD: p=0.373 and hip-BMD: p=0.109). We observed a substantial level of heterogeneity between the trials for LS- but not for hip-BMD. Applying "type of exercise" and "study duration" as moderators did not significantly modify the differences between low and high exercise intensity on BMD at LS or hip. CONCLUSION: There is insufficient evidence for a superior effect of high-intensity exercise on areal BMD at lumbar spine and hip in people aged 50 years and older. Varying exercise intensity with periods of lower exercise intensity intermitted by higher intensity might be a promising option to address the issue of exercise intensities in intervention studies.

Tectonics of a K⁺ channel: The importance of the N-terminus for channel gating.

The small K⁺ channel Kcv represents the pore module of complex potassium channels. It was found that its gating can be modified by sensor domains, which are N-terminally coupled to the pore. This implies that the short N-terminus of the channel can transmit conformational changes from upstream sensors to the channel gates. To understand the functional role of the N-terminus in the context of the entire channel protein, we apply combinatorial screening of the mechanical coupling and long-range interactions in the Kcv potassium channel by reduced molecular models. The dynamics and mechanical connections in the channel complex show that the N-terminus is indeed mechanically connected to the pore domain. This includes a long rang coupling to the pore and the inner and outer transmembrane domains. Since the latter domains host the two gates of the channel, the data support the hypothesis that mechanical perturbation of the N-terminus can be transmitted to the channel gates. This effect is solely determined by the topology of the channel; sequence details only have an implicit effect on the coarse-grained dynamics via the fold and not through biochemical details at a smaller scale. This observation has important implications for engineering of synthetic channels on the basis of a K⁺ channel pore.

Fast prediction of hydration free energies from molecular interaction fields.

A novel empirical model is presented that allows the fast computation of hydration free energies with high accuracy. The linear model is based upon the separation of the free energy of hydration into a cavity and an interaction term. The cavity contribution is modeled as a linear combination of molecular volume and surface terms. The interaction part is derived from the statistical three-dimensional (3D) free energy density and is modeled approximately as a molecular interaction field using the program GRID. A compression scheme is employed to represent this 3D information on the molecular surface by means of a linear combination of surface functions. A set of 81 small organic molecules with known experimental hydration free energies is used to determine the coefficients of the linear model by least squares regression. The fit is statistically significant yielding a correlation coefficient of 0.99, a root mean square error of 0.27 kcal/mol for the 81 molecules belonging to the training set, and 0.63 kcal/mol for an independent test set of 10 molecules.

Management of gestational diabetes with a conservative insulin protocol.

OBJECTIVE: To investigate whether 2-hour postprandial blood glucose levels up to 8.0 mmol/L affect maternal or neonatal outcomes in pregnancies complicated by gestational diabetes mellitus (GDM). DESIGN: Retrospective analysis of data collated by the Victorian Perinatal Data Collection Unit. PATIENTS: 394 GDM women and 394 control women matched for age and country of birth who gave birth at a university teaching hospital, 1991-1997. MAIN OUTCOME MEASURES: Maternal--hypertension/pre-eclampsia, obstetric intervention, gestation at delivery, length of hospital stay; neonatal--Apgar scores, time to establish respiration, birthweight, macrosomia, large or small for gestational age (LGA or SGA), fetopelvic disproportion, jaundice, hypoglycaemia. RESULTS: For most outcome measures there were no statistically significant differences between the GDM and control groups. However, in the GDM group, gestation was shorter, hospital stays longer and delivery interventions more common. CONCLUSION: Our study suggests that maternal and neonatal outcomes in GDM women are comparable with those of women without GDM when 2-hour postprandial glucose levels of up to 8mmol/L are maintained. This is 1.0 mmol/L higher than the current Australian Diabetes in Pregnancy Society recommendation.

Quantification and visualization of molecular surface flexibility.

Two new methods for the quantification and visualization of the flexibility of molecular surfaces are presented. Both methods rely on results of molecular dynamics (MD) simulations. Whereas method I is based on a simple but fast grid-counting algorithm, method II uses a mapping function that allows for a sharp and clear visualization of atomic RMS fluctuations on a molecular surface. To demonstrate the scope of the methods, MD simulations of two proteins, PTI and ubiquitin, were performed. The flexibility data are mapped onto the molecular surfaces of the proteins and visualized using texture mapping technology available on modern workstations.