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Osteoporosis and Sarcopenia Increase Frailty Syndrome in the Elderly
Conclusions World population is aging and the increase in life expectancy is often unhealthy. In particular, musculoskeletal aging, which leads to sarcopenia and osteoporosis, has several causes such as changes in body composition, inflammation, and hormonal imbalance. Sarcopenia, osteoporosis, and more frequently, sarcopenic obesity are commonly associated with aging and frequently closely linked each other, often leading to the development of a frailty syndrome. Frailty syndrome favors an increased risk of loss function in daily activities, for cardiovascular diseases, cancers, falls, and mortality. As the number of eld...
Source: Frontiers in Endocrinology - April 23, 2019 Category: Endocrinology Source Type: research

Sex Difference of Radiation Response in Occupational and Accidental Exposure
Conclusion and Outlook This review summarizes the data from major human studies on the health risks of radiation exposure and shows that sex can potentially influence the prolonged response to radiation exposure (Figure 1 and Tables 1, 2). These data suggest that long-term radiosensitivity in females is higher than that in males who receive a comparable dose of radiation. Our analysis of the literature agrees with the conclusions of the recent report on the Biological effects of ionizing radiation (BEIR VII) published in 2006 by the National Academy of Sciences (NAS), United States (National Research Council, 2006). The B...
Source: Frontiers in Genetics - May 2, 2019 Category: Genetics & Stem Cells Source Type: research

Efficacy Analysis of Team-Based Nursing Compliance in Young and Middle-Aged Diabetes Mellitus Patients Based on Random Forest Algorithm and Logistic Regression
CONCLUSION: The team-based nursing model has a good effect on the blood glucose control level of middle-aged and young diabetic patients. Age, BMI, and glucose values are risk factors for diabetes. The SF algorithm has a good effect on predicting the risk of diabetes, which is worthy of further clinical application.PMID:35936376 | PMC:PMC9355774 | DOI:10.1155/2022/3882425
Source: Computational and Mathematical Methods in Medicine - August 8, 2022 Category: Statistics Authors: Dongni Qian Hong Gao Source Type: research

Identification of immune cell infiltration and diagnostic biomarkers in unstable atherosclerotic plaques by integrated bioinformatics analysis and machine learning
CONCLUSION: M1 macrophages is an important cause of unstable plaque formation, and CD68, PAM, and IGFBP6 could be used as diagnostic markers to identify unstable plaques effectively.PMID:36211422 | PMC:PMC9537477 | DOI:10.3389/fimmu.2022.956078
Source: Atherosclerosis - October 10, 2022 Category: Cardiology Authors: Jing Wang Zijian Kang Yandong Liu Zifu Li Yang Liu Jianmin Liu Source Type: research

Straight from the heart: Mysterious lipids may predict cardiac problems better than cholesterol
Stephanie Blendermann, 65, had good reason to worry about heart disease. Three of her sisters died in their 40s or early 50s from heart attacks, and her father needed surgery to bypass clogged arteries. She also suffered from an autoimmune disorder that results in chronic inflammation and boosts the odds of developing cardiovascular illnesses. “I have an interesting medical chart,” says Blendermann, a real estate agent in Prior Lake, Minnesota. Yet Blendermann’s routine lab results weren’t alarming. At checkups, her low-density lipoprotein (LDL), or “bad,” cholesterol hovered around the 100 milligrams-per-...
Source: Science of Aging Knowledge Environment - March 16, 2023 Category: Geriatrics Source Type: research

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