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Fritz Schick

Researcher at University of Tübingen

Publications -  512
Citations -  26047

Fritz Schick is an academic researcher from University of Tübingen. The author has contributed to research in topics: Insulin resistance & Adipose tissue. The author has an hindex of 72, co-authored 499 publications receiving 22995 citations.

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EASL-EASD-EASO Clinical Practice Guidelines for the Management of Non-Alcoholic Fatty Liver Disease

TL;DR: The final purpose is to improve patient care and awareness of the importance of NAFLD, and to assist stakeholders in the decision-making process by providing evidence-based data, which also takes into consideration the burden of clinical management for the healthcare system.
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Identification and characterization of metabolically benign obesity in humans.

TL;DR: A metabolically benign obesity that is not accompanied by insulin resistance and early atherosclerosis exists in humans and ectopic fat in the liver may be more important than visceralfat in the determination of such a beneficial phenotype in obesity.
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Non-invasive assessment and quantification of liver steatosis by ultrasound, computed tomography and magnetic resonance.

TL;DR: In the present review, available imaging modalities (ultrasound, computed tomography, magnetic resonance imaging and proton magnetic resonance spectroscopy) are presented which are employed to detect or even quantify the fat content of the liver.
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Measurement of intracellular triglyceride stores by 1H spectroscopy: Validation in vivo

TL;DR: This study demonstrates for the first time that noninvasive in vivo 1H MRS measurement of intracellular TG, including that within myocytes, is feasible at 1.5-T field strengths and is comparable in accuracy to biochemical measurement.
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Association of increased intramyocellular lipid content with insulin resistance in lean nondiabetic offspring of type 2 diabetic subjects.

TL;DR: In these well-matched groups of lean subjects, IMCL is increased in insulin-resistant offspring of type 2 diabetic subjects when compared with an insulin-sensitive group matched for age, BMI, body fat distribution, percent body fat, and degree of physical fitness.