Rev Invest Clin
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Background: COVID-19 is a disease that had a great impact in the world, generating lifestyle changes; among these are changes in sleep quality, with the elderly being one of the most affected age groups. Objective: To identify sleep alterations in Mexican people older than 60 years post COVID-19 pandemic. Methods: We performed a descriptive study on subjects older than 60 years from the aging cohort of the National Institute of Respiratory Diseases. ⋯ In the questionnaire on toxicology, we found higher alcohol consumption (18% vs. 27%, p = 0.01) and vitamin ingestion (34% vs. 46%, p = 0.003). Subjects also described more nighttime awakenings, with more than 3 times per week (25% vs. 44%, p < 0.0001), generating a worse auto perception of healthy well-being (88.3 vs. 82.02 p < 0.0001). Conclusions: The COVID-19 pandemic affected sleep quality in different aspects, and it increased the consumption of alcohol and vitamins. (Rev Invest Clin. 2024;76(6):239-42).
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Background: The effective use of combination antiretroviral therapy (ART) has significantly improved the life expectancy of people living with the human immunodeficiency virus (HIV). However, complications have shifted from opportunistic infections to issues such as drug toxicity and resistance, as well as an increase in premature cardiovascular diseases (CVD). These conditions are attributed to chronic immune activation and persistent inflammation caused by HIV, along with lipid abnormalities and insulin resistance. ⋯ In addition, 53.8% of the patients exhibited hypertriglyceridemia, and 54.8% met the diagnostic criteria for metabolic syndrome. The D: A: D reduced and full models identified significant risk factors for individuals over 30 years of age, highlighting notable associations with cholesterol levels, triglyceride levels, and smoking status. In contrast, the Framingham model did not demonstrate significant risk associations. (Rev Invest Clin. 2024;76(6):274-85).
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Triple-negative breast cancer (TNBC) is a subtype of breast cancer (BC) that lacks receptors for targeted therapy. Deeper insight into the molecular mechanisms regulating TNBC metastasis is urgently needed. The epithelial-mesenchymal transition process facilitates the metastasis of neighboring epithelial tumor cells. Protein kinase, membrane-associated tyrosine/threonine 1 (PKMYT1), a member of the Wee family of protein kinases, is upregulated in BC, and its high expression predicts poor prognosis in BC patients. Notch signaling activation is a pathognomonic feature of TNBC. PKMYT1 has been found to induce EMT in non-small cell lung cancer by activating Notch signaling. However, whether PKMYT1 exerts effects on TNBC progression by regulating Notch signaling remains unknown. ⋯ PKMYT1 promotes EMT, proliferation, migration, and invasion of TNBC cells and facilitates tumor growth and metastasis by activating Notch signaling.
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Artificial intelligence (AI) generative models driven by the integration of AI and natural language processing technologies, such as OpenAI's chatbot generative pre-trained transformer large language model (LLM), are receiving much public attention and have the potential to transform personalized medicine. Dialysis patients are highly dependent on technology and their treatment generates a challenging large volume of data that has to be analyzed for knowledge extraction. We argue that, by integrating the data acquired from hemodialysis treatments with the powerful conversational capabilities of LLMs, nephrologists could personalize treatments adapted to patients' lifestyles and preferences. ⋯ In this paper, we will revise LLMs potential strengths in terms of their contribution to personalized medicine, and, in particular, their potential impact, and limitations in nephrology. Nephrologists' collaboration with AI academia and companies, to develop algorithms and models that are more transparent, understandable, and trustworthy, will be crucial for the next generation of dialysis patients. The combination of technology, patient-specific data, and AI should contribute to create a more personalized and interactive dialysis process, improving patients' quality of life.
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The development of hemodialysis (HD) membranes has substantially advanced in the last decade. This has resulted in the manufacturing of medium cut-off membranes (MCO) whose internal architecture is based on greater pore size and a smaller diameter, thus promoting the clearance of particles of greater size as well as retrofiltration. Multiple studies have proven their efficacy in the clearance of uremic mid-sized molecules such as β2-microglobulin, free light chains, and some interleukins; this clearance is far superior with MCO membranes when compared with high-flux HD, and similar to that obtained with online hemodiafiltration. This review summarizes the results of the most relevant clinical studies of this membrane in terms of uremic toxin clearance, as well as the features of some clinical outcomes such as quality of life and hospitalizations.