106 research outputs found

    The cytoplasm gets some new threads

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    Medical tourism in Thailand: a cross-sectional study.

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    OBJECTIVE: To investigate the magnitude and characteristics of medical tourism in Thailand and the impact of such tourism on the Thai health system and economy. METHODS: In 2010, we checked the records of all visits to five private hospitals that are estimated to cover 63% of all foreign patients. We reviewed hospital records of foreign patients and obtained data on their countries of origin, diagnoses and interventions. We surveyed 293 medical tourists to collect demographic characteristics and information on their expenditure and travelling companions. To help understand the impact of medical tourism on the Thai health system, we also interviewed 15 hospital executives and 28 service providers from the private hospitals. FINDINGS: We obtained 911,913 records of hospital visits, of which 324,906 came from 104,830 medical tourists. We estimated that there were 167,000 medical tourists in Thailand in 2010. Of the medical tourists who attended our study hospitals, 67,987 (64.8%) came from the eastern Mediterranean region or Asia and 109,509 (34%) of them were treated for simple and uncomplicated conditions - i.e. general check-ups and medical consultations. The mean self-reported non-medical expenditure was 2750 United States dollars. According to the hospital staff interviewed, medical tourism in 2010 brought benefits to - and apparently had no negative impacts on - the Thai health system and economy. CONCLUSION: We estimate that the total number of medical tourists visiting Thailand is about 10% of previous national government estimates of 1.2 million. Such tourists appear to bring economic benefits to Thailand and to have negligible effects on the health system

    A quantitative screen for metabolic enzyme structures reveals patterns of assembly across the yeast metabolic network

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    © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Noree, C., Begovich, K., Samilo, D., Broyer, R., Monfort, E., & Wilhelm, J. E. A quantitative screen for metabolic enzyme structures reveals patterns of assembly across the yeast metabolic network. Molecular Biology of the Cell, 30(21), (2019): 2721-2736, doi:10.1091/mbc.E19-04-0224.Despite the proliferation of proteins that can form filaments or phase-separated condensates, it remains unclear how this behavior is distributed over biological networks. We have found that 60 of the 440 yeast metabolic enzymes robustly form structures, including 10 that assemble within mitochondria. Additionally, the ability to assemble is enriched at branch points on several metabolic pathways. The assembly of enzymes at the first branch point in de novo purine biosynthesis is coordinated, hierarchical, and based on their position within the pathway, while the enzymes at the second branch point are recruited to RNA stress granules. Consistent with distinct classes of structures being deployed at different control points in a pathway, we find that the first enzyme in the pathway, PRPP synthetase, forms evolutionarily conserved filaments that are sequestered in the nucleus in higher eukaryotes. These findings provide a roadmap for identifying additional conserved features of metabolic regulation by condensates/filaments.We thank Douglass Forbes for comments on the manuscript, Susanne Rafelski for the gift of the pVTU-mito-dsRed plasmid, and Brian Zid for the gift of the pKT-mNeonGreen plasmid. Work at the Wilhelm lab was supported by a grant from the Hughes Collaborative Innovation Award program of the Howard Hughes Medical Institute and the James Wilhelm Memorial Fund. Kyle Begovich is a Howard Hughes Medical Institute Gilliam Fellow

    The glycolytic enzyme phosphofructokinase-1 assembles into filaments.

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    Despite abundant knowledge of the regulation and biochemistry of glycolytic enzymes, we have limited understanding on how they are spatially organized in the cell. Emerging evidence indicates that nonglycolytic metabolic enzymes regulating diverse pathways can assemble into polymers. We now show tetramer- and substrate-dependent filament assembly by phosphofructokinase-1 (PFK1), which is considered the "gatekeeper" of glycolysis because it catalyzes the step committing glucose to breakdown. Recombinant liver PFK1 (PFKL) isoform, but not platelet PFK1 (PFKP) or muscle PFK1 (PFKM) isoforms, assembles into filaments. Negative-stain electron micrographs reveal that filaments are apolar and made of stacked tetramers oriented with exposed catalytic sites positioned along the edge of the polymer. Electron micrographs and biochemical data with a PFKL/PFKP chimera indicate that the PFKL regulatory domain mediates filament assembly. Quantified live-cell imaging shows dynamic properties of localized PFKL puncta that are enriched at the plasma membrane. These findings reveal a new behavior of a key glycolytic enzyme with insights on spatial organization and isoform-specific glucose metabolism in cells

    System dynamics modelling of health workforce planning to address future challenges of Thailand's Universal Health Coverage.

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    BACKGROUND: System dynamics (SD) modelling can inform policy decisions under Thailand's Universal Health Coverage. We report on this thinking approach to Thailand's strategic health workforce planning for the next 20 years (2018-2037). METHODS: A series of group model building (GMB) sessions involving 110 participants from multi-sectors of Thailand's health systems was conducted in 2017 and 2018. We facilitated policymakers, administrators, practitioners and other stakeholders to co-create a causal loop diagram (CLD) representing a shared understanding of why the health workforce's demands and supplies in Thailand were mismatched. A stock and flow diagram (SFD) was also co-created for testing the consequences of policy options by simulation modelling. RESULTS: The simulation modelling found hospital utilisation created a vicious cycle of constantly increasing demands for hospital care and a constant shortage of healthcare providers. Moreover, hospital care was not designed for effectively dealing with the future demands of ageing populations and prevalent chronic illness. Hence, shifting emphasis to professions that can provide primary care, intermediate care, long-term care, palliative care, and end-of-life care can be more effective. CONCLUSIONS: Our SD modelling confirmed that shifting the care models to address the changing health demands can be a high-leverage policy of health workforce planning, although very difficult to implement in the short term. of health workforce planning, although very difficult to implement in the short term
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