Obesity-Related Genetic Variants and Hyperuricemia Risk in Chinese Men

Conclusion: The obesity-related SNP rs545854 was correlated with the serum uric acid level and risk of hyperuricemia in a male Chinese population. Therefore, men carrying this SNP could benefit from limiting their meat consumption to prevent hyperuricemia. These findings suggest an underlying genetic link between obesity and hyperuricemia worthy of further exploration. Introduction Serum uric acid (SUA) is a final product of the metabolic breakdown of purine oxidation (1). Since humans lack the gene for uricase that converts uric acid into a soluble form, the human uric acid level tends to be higher than that of other mammals that produce uricase (2). Indeed, an elevated SUA level was identified as the cause of gout in the early 1800s (3), and has since been associated with a wide range of health outcomes, including renal disorders, cardiovascular diseases, metabolic syndrome (MS), diabetes, and cancer (4–6). In addition, the high prevalence of hyperuricemia represents a great public health concern. The prevalence of hyperuricemia was reported at 21.0% in the total population, including 21.2% for men and 21.6% for women, in the USA (7). Moreover, the prevalence of hyperuricemia in Chinese men and women was recently reported at 19.4 and 7.9%, respectively (8). The varying levels of uric acid in human populations can be attributed to environmental factors such as diet, including dietary deficiency of uricase, and genetic factors (9). In addition, hyperuricemia is c...
Source: Frontiers in Endocrinology - Category: Endocrinology Source Type: research

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ConclusionFDG-PET/CT may steer the diagnosis (particularly thanks to a relatively high PPV and value of semiquantitative measurements), but cannot always classify vertebral bone lesions as malignant or benign with sufficient certainty. In these cases, biopsy and/or follow-up remain necessary to establish a final diagnosis.
Source: Skeletal Radiology - Category: Radiology Source Type: research
ConclusionWe achieved promising results with this computer-aided diagnosis method that we tried to develop using convolutional neural networks based on transfer learning. This method can help clinicians for the diagnosis of hip osteoarthritis while interpreting plain pelvic radiographs, also provides assistance for a second objective interpretation. It may also reduce the need for advanced imaging methods in the diagnosis of hip osteoarthritis.
Source: Skeletal Radiology - Category: Radiology Source Type: research
AbstractObjectiveTo investigate the associations of systolic blood pressure (SBP) and diastolic blood pressure (DBP) with changes in knee cartilage composition and joint structure over 48  months, using magnetic resonance imaging (MRI) data from the Osteoarthritis Initiative (OAI).Materials and methodsA total of 1126 participants with right knee Kellgren-Lawrence (KL) score 0 –2 at baseline, no history of rheumatoid arthritis, blood pressure measurements at baseline, and cartilage T2 measurements at baseline and 48 months were selected from the OAI. Cartilage composition was assessed using MRI T2 measuremen...
Source: Skeletal Radiology - Category: Radiology Source Type: research
Publication date: Available online 14 July 2020Source: Social Science &MedicineAuthor(s): Brian J. Hall, Lei Huang, Grace Yi, Carl Latkin
Source: Social Science and Medicine - Category: Psychiatry & Psychology Source Type: research
An imaging technique that combines F-18 FDG PET and MRI was able to pinpoint...Read more on AuntMinnie.comRelated Reading: SNMMI 2020: How nuclear medicine handled COVID-19 SNMMI 2020: Medical students key to the specialty's future PET, MRI uncover women's predisposition to Alzheimer's PET/MRI shows inflammation link to mitral valve prolapse Biomarkers on PET, MRI show breast cancer risk
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news
Publication date: Available online 20 June 2020Source: The Journal of Molecular DiagnosticsAuthor(s): Lynette M. Sholl, Diana Mandelker, Tracy Stockley
Source: The Journal of Molecular Diagnostics - Category: Pathology Source Type: research
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Source: Pathology Research and Practice - Category: Pathology Source Type: research
Publication date: Available online 13 July 2020Source: Pathology - Research and PracticeAuthor(s): Xianglin Yang, Xuelian Li, Xia Hao, Wen Tian, Baosen Zhou
Source: Pathology Research and Practice - Category: Pathology Source Type: research
Publication date: Available online 13 July 2020Source: Pathology - Research and PracticeAuthor(s): Yu-Peng Wu, Zhi-Bin Ke, Fei Lin, Yao-An Wen, Sheng Chen, Xiao-Dong Li, Shao-Hao Chen, Xiong-Lin Sun, Jin-Bei Huang, Qing-Shui Zheng, Xue-Yi Xue, Yong Wei, Ning Xu
Source: Pathology Research and Practice - Category: Pathology Source Type: research
Publication date: Available online 13 July 2020Source: Pathology - Research and PracticeAuthor(s): Leonardo Franz, Lara Alessandrini, Giancarlo Ottaviano, Roberto di Carlo, Elena Fasanaro, Giulia Ramacciotti, Giacomo Contro, Gino Marioni
Source: Pathology Research and Practice - Category: Pathology Source Type: research
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