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- Valimaki, V. V., et al.
(author)
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Teriparatide Treatment in Patients With WNT1 or PLS3 Mutation-Related Early-Onset Osteoporosis: A Pilot Study
- 2017
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In: Journal of Clinical Endocrinology & Metabolism. - : The Endocrine Society. - 0021-972X .- 1945-7197. ; 102:2, s. 535-544
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Journal article (peer-reviewed)abstract
- Context: We previously identified 2 Finnish families with dominantly inherited, low-turnover osteoporosis caused by mutations in WNT1 or PLS3. Objective, Design, and Setting: This prospective, longitudinal, uncontrolled study was undertaken to evaluate whether these patients respond to teriparatide. Patients and Intervention: We recruited 6 adults (median age, 54 years); 3 with a WNT1 missense mutation, c.652T>G, and 3 with a PLS3 splice mutation, c.73-24T>A, to receive teriparatide 20 mg daily for 24 months. Five patients had previously used bisphosphonates. Main Outcome Measures: Outcome measures included lumbar spine and hip bone mineral density (BMD) by dual-energy X-ray absorptiometry, distal radius peripheral quantitative computed tomography, spinal radiography, serum bone turnover markers, paired iliac crest biopsies. Results: All patients showed increases in formation markers procollagen type 1 amino-terminal propeptide (90% to 398%) and osteocalcin (50% to 280%) and in resorption markers cross-linked C-terminal telopeptide of type I collagen (58% to 457%) and tartrate-resistant acid phosphatase 5b (20% to 68%) in first 6 months. Lumbar spine BMD increased 5.2% to 7.9% in 5 patients and femoral neck BMD 2.6% to 7.8% in 4 patients in 24 months. Distal radius cortical volumetric BMD decreased 5.4% to 26.1%. In histomorphometric analyses, osteoid indices increased more consistently in patients with WNT1 vs PLS3 mutation. Eroded surface decreased 44% to 100% in all patients. Adipocyte number increased in 5 patients studied. Conclusions: Patients with WNT1 or PLS3 mutation-related osteoporosis responded to teriparatide treatment. Future studies are needed to evaluate whether observed changes translate to fracture resistance.
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- van den Bosch, R, et al.
(author)
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Striatal dopamine dissociates methylphenidate effects on value-based versus surprise-based reversal learning
- 2022
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In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 13:1, s. 4962-
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Journal article (peer-reviewed)abstract
- Psychostimulants such as methylphenidate are widely used for their cognitive enhancing effects, but there is large variability in the direction and extent of these effects. We tested the hypothesis that methylphenidate enhances or impairs reward/punishment-based reversal learning depending on baseline striatal dopamine levels and corticostriatal gating of reward/punishment-related representations in stimulus-specific sensory cortex. Young healthy adults (N = 100) were scanned with functional magnetic resonance imaging during a reward/punishment reversal learning task, after intake of methylphenidate or the selective D2/3-receptor antagonist sulpiride. Striatal dopamine synthesis capacity was indexed with [18F]DOPA positron emission tomography. Methylphenidate improved and sulpiride decreased overall accuracy and response speed. Both drugs boosted reward versus punishment learning signals to a greater degree in participants with higher dopamine synthesis capacity. By contrast, striatal and stimulus-specific sensory surprise signals were boosted in participants with lower dopamine synthesis. These results unravel the mechanisms by which methylphenidate gates both attention and reward learning.
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- Almeida, Joao, et al.
(author)
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Molecular understanding of sulphuric acid-amine particle nucleation in the atmosphere
- 2013
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In: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 502:7471, s. 359-
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Journal article (peer-reviewed)abstract
- Nucleation of aerosol particles from trace atmospheric vapours is thought to provide up to half of global cloud condensation nuclei(1). Aerosols can cause a net cooling of climate by scattering sunlight and by leading to smaller but more numerous cloud droplets, which makes clouds brighter and extends their lifetimes(2). Atmospheric aerosols derived from human activities are thought to have compensated for a large fraction of the warming caused by greenhouse gases(2). However, despite its importance for climate, atmospheric nucleation is poorly understood. Recently, it has been shown that sulphuric acid and ammonia cannot explain particle formation rates observed in the lower atmosphere(3). It is thought that amines may enhance nucleation(4-16), but until now there has been no direct evidence for amine ternary nucleation under atmospheric conditions. Here we use the CLOUD (Cosmics Leaving OUtdoor Droplets) chamber at CERN and find that dimethylamine above three parts per trillion by volume can enhance particle formation rates more than 1,000-fold compared with ammonia, sufficient to account for the particle formation rates observed in the atmosphere. Molecular analysis of the clusters reveals that the faster nucleation is explained by a base-stabilization mechanism involving acid-amine pairs, which strongly decrease evaporation. The ion-induced contribution is generally small, reflecting the high stability of sulphuric acid-dimethylamine clusters and indicating that galactic cosmic rays exert only a small influence on their formation, except at low overall formation rates. Our experimental measurements are well reproduced by a dynamical model based on quantum chemical calculations of binding energies of molecular clusters, without any fitted parameters. These results show that, in regions of the atmosphere near amine sources, both amines and sulphur dioxide should be considered when assessing the impact of anthropogenic activities on particle formation.
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- Botan, Alexandru, et al.
(author)
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Toward Atomistic Resolution Structure of Phosphatidylcholine Headgroup and Glycerol Backbone at Different Ambient Conditions
- 2015
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In: Journal of Physical Chemistry B. - : American Chemical Society (ACS). - 1520-6106 .- 1520-5207. ; 119:49, s. 15075-15088
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Journal article (peer-reviewed)abstract
- Phospholipids are essential building blocks of biological membranes. Despite a vast amount of very accurate experimental data, the atomistic resolution structures sampled by the glycerol backbone and choline headgroup in phoshatidylcholine bilayers are not known. Atomistic resolution molecular dynamics simulations have the potential to resolve the structures, and to give an arrestingly intuitive interpretation of the experimental data, but only if the simulations reproduce the data within experimental accuracy. In the present work, we simulated phosphatidylcholine (PC) lipid bilayers with 13 different atomistic models, and compared simulations with NMR. experiments in terms of the highly structurally sensitive C-H bond vector order parameters. Focusing on the glycerol backbone and choline headgroups, we showed that the order parameter comparison can be used to judge the atomistic resolution structural accuracy of the models. Accurate models, in turn, allow molecular dynamics simulations to be used as an interpretation tool that translates these NMR data into a dynamic three-dimensional representation of biomolecules in biologically relevant conditions. In addition to lipid bilayers in fully hydrated conditions, we reviewed previous experimental data for dehydrated bilayers and cholesterol-containing bilayers, and interpreted them with simulations. Although none of the existing models reached experimental accuracy, by critically comparing them we were able to distill relevant chemical information: (1) increase of choline order parameters indicates the P-N vector tilting more parallel to the membrane, and (2) cholesterol induces only minor changes to the PC (glycerol backbone) structure. This work has been done as a fully open collaboration, using nmrlipids.blogspot.fi as a communication platform; all the scientific contributions were made publicly on this blog. During the open research process, the repository holding our simulation trajectories and files (https://zenodo.org/collection/user-nmrlipids) has become the most extensive publicly available collection of molecular dynamics simulation trajectories of lipid bilayers.
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