Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0028754 (obesity)
124,988 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Non-alcoholic fatty liver disease (NAFLD) contributes essentially to the burden of obesity and can start in childhood. NAFLD can progress to cirrhosis and hepatocellular carcinoma. The early phase of NAFLD is crucial because during this time the disease is fully reversible. Pediatric NAFLD shows unique features of histology and pathophysiology compared to adults. Changes in serum iron parameters are common in adult NAFLD and have been termed dysmetabolic iron overload syndrome characterized by increased serum ferritin levels and normal transferrin saturation; however, the associations of serum ferritin, inflammation, and liver fat content have been incompletely investigated in children. As magnetic resonance imaging (MRI) is an excellent measure for the degree of liver steatosis, we applied this method herein to clarify the interaction between ferritin and fatty liver in male adolescents. For this study, one hundred fifty male pediatric patients with obesity and who are overweight were included. We studied a subgroup of male patients with (n = 44) and without (n = 18) NAFLD in whom we determined liver fat content, visceral adipose tissue, and subcutaneous adipose tissue extent with a 1.5T MRI (Philips NL). All patients underwent a standardized oral glucose tolerance test. We measured uric acid, triglycerides, HDL-, LDL-, total cholesterol, liver transaminases, high sensitive CRP (hsCRP), interleukin-6, HbA1c, and insulin. In univariate analysis, ferritin was associated with MRI liver fat, visceral adipose tissue content, hsCRP, AST, ALT, and GGT, while transferrin and soluble transferrin receptor were not associated with ferritin. Multivariate analysis identified hsCRP and liver fat content as independent predictors of serum ferritin in the pediatric male patients. Our data indicate that serum ferritin in male adolescents with obesity is mainly determined by liver fat content and inflammation but not by body iron status.
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PMID:Serum Ferritin Correlates With Liver Fat in Male Adolescents With Obesity. 3262 66

Induction of highly pathogenic hepatitis C virus (HCV) causes chronic hepatitis round the world. This virus is easily prone to developing resistance against antiviral drugs because of two viral polymerases that do not possess the proofreading and overlapping reading frame abilities. There is more than one explanation for how this virus builds up resistance against antiviral drug treatments. Assays are now available to detect HCV-resistant variants, based on phenotypic and genotypic assays, and next generation sequencing. But these assays are of a little value at baseline, because they are not influential enough for making therapeutic decisions in HCV patients. Moreover, HCV monitoring is now an essential part of clinical practice. Special patients, such as those with thalassemia, renal transplant due to renal failure, and the patients undergoing hemodialysis, are at higher risk for acquiring this infection. Management of HCV infection in these patient groups is complicated by multiple side effects, including flu-like symptoms, neutropenia, fever, and neuropsychiatric disorders, thus limiting the use of ribavirin and coexisting iron overload. In HCV patients suffering from depression, the treatment may be discontinued because of some defects in neurochemical pathways caused by interferon, which can enhance the level of depression in these patients. In addition, obesity has been found to be a marker of failure of HCV treatment. There will be many resistance tolerant HCV treatment options available in the near future.
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PMID:Drug Resistance in Hepatitis C Virus: Future Prospects and Strategies to Combat It. 3289 62

Lack of a balanced diet can have a significant impact on most organs of the body. Traditionally, evaluation of these conditions relied heavily upon body mass index "BMI" measurements, which are limited and open to inaccurate interpretation or omission of critical data. Advances in imaging allow better recognition of these conditions using accurate qualitative and quantitative data and correlation with any morphological changes in organs. Body composition evaluations include the assessment of the bone mineral density (BMD), visceral fat, subcutaneous fat, liver fat and iron overload and muscle fat (including the lean muscle ratio), with differential evaluation of specific muscle groups when required. Such measurements are important as a baseline and for monitoring the effect of therapies and various interventions. In addition, they may predict and help alleviate any potential complications, allowing counselling of patients in a relatable manner. This positively influences patient compliance and outcomes during early counselling, monitoring and modulation of therapy. This encourages patients suffering from obesity and eating disorders to better understand their often chronic but reversible condition. We present a review of current literature with reflection on our own practices. We discuss the importance of monitoring the reversibility of certain parameters in specific cohorts of patients. We consider the role of artificial intelligence and deep learning in developing software algorithms that can help the reading radiologist evaluate large volumes of data and present the results in a format that is easier to interpret, thereby reducing interobserver and intraobserver variabilities.
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PMID:The role of body composition assessment in obesity and eating disorders. 3298 Jul 42

Low-grade chronic adipose tissue (AT) inflammation is now recognized as a pivotal driver of the multi-organ dysfunction associated with obesity-related complications; and adipose tissue macrophages (ATMs) are key to the development of this inflammatory milieu. Along with their role in immunosurveillance, ATMs are central regulators of AT iron homeostasis. Under optimal conditions, ATMs maintain a proper homeostatic balance of iron in adipocytes; however, during obesity, this relationship is altered, and iron is repartitioned into adipocytes as opposed to ATMs. This adipocyte iron overload leads to systemic IR and the mechanism for these effects is still under investigation. Here, we comment on the most recent findings addressing the interplay between adipocyte and ATM iron handling, and metabolic dysfunction.
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PMID:Fat and Iron Don't Mix. 3313 74


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