Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0018099 (gout)
 5,192 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

At present, Thailand uses medicinal plants to treat various diseases. Alternative medicine utilizes Gymnema inodorum Lour for antipyretic and anti-allergic purposes. There are also other research studies to treat diabetes mellitus, coronary artery disease, cataract, rheumatoid arthritis, gout, liver cancer, and stomach cancer. This study used particle-induced X-ray emission (PIXE) technique to analyze the elements in this plant. The advantage of this technique over other methods is the multi-elemental analysis and high sensitivity. The objective of this study was to determine the elemental compositions and to develop new standard methods for analyzing plant elemental compositions in Thailand. A 2-MeV proton beam was used to identify and characterize major and minor elements namely Mg, Al, Si, P, S, Cl, K, Ca, Ti, Mn, Fe, and Zn in Gymnema Inodorum Lour. Results have shown that these elements are present in varying concentrations in the selected parts: roots, stems, and leaves. The data of elemental analysis, applied in recommended quantities that are harmful to the body, describe the relationship between elements and efficacy of this plant in alternative medicine.
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PMID:Determination of Elements in Gymnema inodorum Lour by Particle Induced X-Ray Emission (PIXE). 3084 66

Frailty, one of the major public health problems in the elderly, can result from multiple etiologic factors including biological and physical changes in the body which contribute to the reduction in the function of multiple bodily systems. A diagnosis of frailty can be reached using a variety of frailty assessment tools. In this study, general characteristics and health data were assessed using modified versions of Fried's Frailty Phenotype (mFFP) and the Frail Non-Disabled (FiND) questionnaire (mFiND) to construct a Self-Organizing Map (SOM). Trained data, composed of the component planes of each variable, were visualized using 2-dimentional hexagonal grid maps. The relationship between the variables and the final SOM was then investigated. The SOM model using the modified FiND questionnaire showed a correct classification rate (%CC) of about 66% rather than the model responded to mFFP models. The SOM Discrimination Index (SOMDI) identified cataracts/glaucoma, age, sex, stroke, polypharmacy, gout, and sufficiency of income, in that order, as the top frailty-associated factors. The SOM model, based on the mFiND questionnaire frailty assessment, is an appropriate tool for assessment of frailty in the Thai elderly. Cataracts/glaucoma, stroke, polypharmacy, and gout are all modifiable early prediction factors of frailty in the Thai elderly.
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PMID:An Artificial Neural Network Model for Assessing Frailty-Associated Factors in the Thai Population. 3296 19


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