Despite progress in biomedical technologies, cardiovascular disease remains the main cause of mortality. This is at least in part because current clinical interventions do not adequately take into account aging as a driver and are hence aimed at suboptimal targets. To achieve progress, consideration needs to be given to the role of cell aging in disease pathogenesis. We propose a model unifying the fundamental processes underlying most age-associated cardiovascular pathologies. According to this model, cell aging, leading to cell senescence, is responsible for tissue changes leading to age-related cardiovascular disease. This process, occurring due to telomerase inactivation and telomere attrition, affects all components of the cardiovascular system, including cardiomyocytes, vascular endothelial cells, smooth muscle cells, cardiac fibroblasts, and immune cells. The unified model offers insights into the relationship between upstream risk factors and downstream clinical outcomes and explains why interventions aimed at either of these components have limited success. Potential therapeutic approaches are considered based on this model. Because telomerase activity can prevent and reverse cell senescence, telomerase gene therapy is discussed as a promising intervention. Telomerase gene therapy and similar systems interventions based on the unified model are expected to be transformational in cardiovascular medicine.
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http://dx.doi.org/10.3390/biology11121768 | DOI Listing |
BMC Public Health
December 2024
Medical College of Tibet University, No. 10 East Zangda Road,Chengguan District, Lhasa, 850000, China.
Background: The prevalence of hypertension among the Tibetan population in Tibet is higher than in other regions of China, and there is a lack of unified epidemiological surveys. This study aims to conduct a standardized epidemiological investigation to assess the current status of hypertension among the Tibetan population, as well as to explore the dose-response relationship between cholesterol (TC), triglyceride glucose index (TyG), triglyceride glucose-body mass index (TyG-BMI), and hypertension in this population.
Methods: From June 2020 to July 2023, a total of 5042 Tibetans aged 18 to 80 years from three cities and one region in Tibet were randomly sampled for the study.
Nat Comput Sci
December 2024
Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Machine learning plays an important role in quantum chemistry, providing fast-to-evaluate predictive models for various properties of molecules; however, most existing machine learning models for molecular electronic properties use density functional theory (DFT) databases as ground truth in training, and their prediction accuracy cannot surpass that of DFT. In this work we developed a unified machine learning method for electronic structures of organic molecules using the gold-standard CCSD(T) calculations as training data. Tested on hydrocarbon molecules, our model outperforms DFT with several widely used hybrid and double-hybrid functionals in terms of both computational cost and prediction accuracy of various quantum chemical properties.
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December 2024
Institute of Physics, University of São Paulo, São Carlos, 13560-590, SP, Brazil.
When combined with certain metal species, films of amorphous Ge or Si can have their typical crystallization temperatures decreased, by a factor of three or four, down to ~ 200 °C. The phenomenon is called metal-induced crystallization (MIC) and, since its first observation in the late 1960's, shows a great technological potential in producing (poly-)crystalline films of Ge or Si onto low-melting point substrates under reduced energy conditions. From the scientific point of view, the microscopic mechanisms behind the MIC phenomenon (still) represents a scientific challenge, where most of the proposed models are invariably influenced by the samples details giving the impression that they only apply to very specific metal-semiconductor combinations and/or circumstances.
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December 2024
Department of Preventive Intervention for Psychiatric Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawahigashi-cho, Kodaira, Tokyo, 187-8553, Japan.
Pupil dilation is considered to track the arousal state linked to a wide range of cognitive processes. A recent article suggested the potential to unify findings in pupillometry studies based on an information theory framework and Bayesian methods. However, Bayesian methods become computationally intractable in many realistic situations.
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December 2024
Department of Information Systems, College of Computer and Information Sciences, Majmaah University, Majmaah, 11952, Saudi Arabia.
Academic institutions face increasing challenges in predicting student enrollment and managing retention. A comprehensive strategy is required to track student progress, predict future course demand, and prevent student churn across various disciplines. Institutions need an effective method to predict student enrollment while addressing potential churn.
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