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Simultaneous Surgical Repair Of A Tibialis Anterior Tendon Rupture And Diabetic Charcot Neuroarthropathy Of The Midfoot: A Case Report, John Stapleton
Simultaneous Surgical Repair Of A Tibialis Anterior Tendon Rupture And Diabetic Charcot Neuroarthropathy Of The Midfoot: A Case Report, John Stapleton
John J Stapleton DPM, FACFAS
The combination of simultaneous rupture of a tibialis anterior tendon and Charcot neuroarthropathy of the midfoot in a diabetic patient is a rare and challenging condition that can lead to major complications if not addressed appropriately. This article discusses a tibialis anterior tendon rupture that may have developed before or after the incidence of the diabetic Charcot neuroarthropathy midfoot deformity and raises awareness to potential spontaneous tendon ruptures that may be associated with the diabetic Charcot foot.
Impaired Overload-Induced Hypertrophy Is Associated With Diminished Mtor Signaling In Insulin-Resistant Skeletal Muscle Of The Obese Zucker Rat, Anjaiah Katta, Sudarsanam Kundla, Sunil Kakarla, Miaozong Wu, Jacqueline Fannin, Satyanarayana Paturi, Hua Liu, Hari Addagarla, Eric Blough
Impaired Overload-Induced Hypertrophy Is Associated With Diminished Mtor Signaling In Insulin-Resistant Skeletal Muscle Of The Obese Zucker Rat, Anjaiah Katta, Sudarsanam Kundla, Sunil Kakarla, Miaozong Wu, Jacqueline Fannin, Satyanarayana Paturi, Hua Liu, Hari Addagarla, Eric Blough
Eric Blough
Recent data have suggested that insulin resistance may be associated with a diminished ability of skeletal muscle to undergo hypertrophy (Paturi S, Gutta AK, Kakarla SK, Katta A, Arnold EC, Wu M, Rice KM, Blough ER. J Appl Physiol 108: 7–13, 2010). Here we examine the effects of insulin resistance using the obese Zucker (OZ) rat with increased muscle loading on the regulation of the mammalian target of rapamycin (mTOR) and its downstream signaling intermediates 70-kDa ribosomal protein S6 kinase (p70S6k), ribosomal protein S6 (rpS6), eukaryotic elongation factor 2 (eEF2), and eukaryotic initiation factor 4E-binding protein 1 (4E-BP1). Compared with …
Age At Diagnosis Of Diabetes In Appalachia, Lawrence Barker, Robert Gerzoff, Richard Crespo, Molly Shrewsberry
Age At Diagnosis Of Diabetes In Appalachia, Lawrence Barker, Robert Gerzoff, Richard Crespo, Molly Shrewsberry
Richard Crespo
Background Appalachia is a region of the United States noted for the poverty and poor health outcomes of its residents. Residents of the poorest Appalachian counties have a high prevalence of diabetes and risk factors (obesity, low income, low education, etc.) for type 2 diabetes. However, diabetes prevalence exceeds what these risk factors alone explain. Based on this, the history of poor health outcomes in Appalachia, and personally observed high rates of childhood obesity and lack of concern about prediabetes, we speculated that people in Appalachia with diagnosed diabetes might tend to be diagnosed younger than their non-Appalachian counterparts. Methods …
Residence In A Distressed County In Appalachia As A Risk Factor For Diabetes, Behavioral Risk Factor Surveillance System, 2006-2007, Lawrence Barker, Richard Crespo, Robert Gerzoff, Sharon Denham, Molly Shrewsberry, Darrlyn Cornelius-Averhart
Residence In A Distressed County In Appalachia As A Risk Factor For Diabetes, Behavioral Risk Factor Surveillance System, 2006-2007, Lawrence Barker, Richard Crespo, Robert Gerzoff, Sharon Denham, Molly Shrewsberry, Darrlyn Cornelius-Averhart
Richard Crespo
Introduction We compared the risk of diabetes for residents of Appalachian counties to that of residents of non-Appalachian counties after controlling for selected risk factors in states containing at least 1 Appalachian county. Methods We combined Behavioral Risk Factor Surveillance System data from 2006 and 2007 and conducted a logistic regression analysis, with self-reported diabetes as the dependent variable. We considered county of residence (5 classifications for Appalachian counties, based on economic development, and 1 for non-Appalachian counties), age, sex, race/ethnicity, education, household income, smoking status, physical activity level, and obesity to be independent variables. The classification “distressed” refers to …