Eleni Rebelos, Marco Bucci, Tomi Karjalainen, Vesa Oikonen, Alessandra Bertoldo, Jarna C Hannukainen, Kirsi A Virtanen, Aino Latva-Rasku, Jussi Hirvonen, Ilkka Heinonen, Riitta Parkkola, Markku Laakso, Ele Ferrannini, Patricia Iozzo, Lauri Nummenmaa, Pirjo Nuutila
OBJECTIVE: Whereas insulin resistance is expressed as reduced glucose uptake in peripheral tissues, the relationship between insulin resistance and brain glucose metabolism remains controversial. Our aim was to examine the association of insulin resistance and brain glucose uptake (BGU) during a euglycemic hyperinsulinemic clamp in a large sample of study participants across a wide range of age and insulin sensitivity. RESEARCH DESIGN AND METHODS: [18 F]-fluorodeoxyglucose positron emission tomography (PET) data from 194 participants scanned under clamp conditions were compiled from a single-center cohort...
January 14, 2021: Diabetes Care
Ying Shang, Laura Fratiglioni, Davide Liborio Vetrano, Abigail Dove, Anna-Karin Welmer, Weili Xu
OBJECTIVE: Diabetes is linked to functional decline, but the impact of prediabetes on physical function is unknown. We aimed to examine and compare the impact of prediabetes and diabetes on physical function and disability progression and to explore whether cardiovascular diseases (CVDs) mediate these associations. RESEARCH DESIGN AND METHODS: A cohort of 2,013 participants aged ≥60 from the Swedish National Study on Aging and Care in Kungsholmen, an ongoing population-based longitudinal study, was monitored for up to 12 years...
January 14, 2021: Diabetes Care
Zobida Islam, Shamima Akter, Yosuke Inoue, Huan Hu, Keisuke Kuwahara, Tohru Nakagawa, Toru Honda, Shuichiro Yamamoto, Hiroko Okazaki, Toshiaki Miyamoto, Takayuki Ogasawara, Naoko Sasaki, Akihiko Uehara, Makoto Yamamoto, Takeshi Kochi, Masafumi Eguchi, Taiki Shirasaka, Makiko Shimizu, Satsue Nagahama, Ai Hori, Teppei Imai, Akiko Nishihara, Kentaro Tomita, Tomofumi Sone, Maki Konishi, Isamu Kabe, Tetsuya Mizoue, Seitaro Dohi
OBJECTIVE: Prediabetes has been suggested to increase risk for death; however, the definitions of prediabetes that can predict death remain elusive. We prospectively investigated the association of multiple definitions of prediabetes with the risk of death from all-causes, cardiovascular disease (CVD), and cancer in Japanese workers. RESEARCH DESIGN AND METHODS: The study included 62,785 workers who underwent a health checkup in 2010 or 2011 and were followed up for death from 2012 to March 2019...
January 13, 2021: Diabetes Care
Emma J Hamilton, Wendy A Davis, Ranita Siru, Mendel Baba, Paul E Norman, Timothy M E Davis
OBJECTIVE: To determine whether, reflecting trends in other chronic complications, incident hospitalization for diabetes-related foot ulcer (DFU) has declined over recent decades in type 2 diabetes. RESEARCH DESIGN AND METHODS: Participants with type 2 diabetes from the community-based Fremantle Diabetes Study phases I (FDS1; 1,296 participants, mean age 64.0 years, 48.6% males, recruited 1993-1996) and II (FDS2; 1,509 participants, mean age 65.4 years, 51.8% males, recruited 2008-2011) were followed from entry to first hospitalization for/with DFU, death, or 5 years (whichever came first)...
January 13, 2021: Diabetes Care
Zhangling Chen, Jean-Philippe Drouin-Chartier, Yanping Li, Megu Y Baden, JoAnn E Manson, Walter C Willett, Trudy Voortman, Frank B Hu, Shilpa N Bhupathiraju
OBJECTIVE: We evaluated the associations between changes in plant-based diets and subsequent risk of type 2 diabetes. RESEARCH DESIGN AND METHODS: We prospectively followed 76,530 women in the Nurses' Health Study (NHS) (1986-2012), 81,569 women in NHS II (1991-2017), and 34,468 men in the Health Professionals Follow-up Study (1986-2016). Adherence to plant-based diets was assessed every 4 years with the overall plant-based diet index (PDI), healthful PDI (hPDI), and unhealthful PDI (uPDI)...
January 13, 2021: Diabetes Care
Silva A Arslanian, Laure El Ghormli, Joon Young Kim, Ashley H Tjaden, Elena Barengolts, Sonia Caprio, Tamara S Hannon, Kieren J Mather, Kristen J Nadeau, Kristina M Utzschneider, Steven E Kahn
We examined the glucose response curves (biphasic [BPh], monophasic [MPh], incessant increase [IIn]) during an oral glucose tolerance test (OGTT) and their relationship to insulin sensitivity (IS) and β-cell function (βCF) in youth versus adults with impaired glucose tolerance or recently diagnosed type 2 diabetes.RESEARCH DESIGN AND METHODSThis was both a cross-sectional and a longitudinal evaluation of participants in the RISE study randomized to metformin alone for 12 months or glargine for 3 months followed by metformin for 9 months...
January 12, 2021: Diabetes Care
Alyson J Littman, Andrew K Timmons, Kathryn P Moore, Chin-Lin Tseng, Gregory Landry, Jeffrey M Robbins, Anna Korpak, Edward J Boyko
No abstract text is available yet for this article.
January 12, 2021: Diabetes Care
Guillaume Grenet, Samia Mekhaldi, Sabine Mainbourg, Marine Auffret, Catherine Cornu, Jean-Luc Cracowski, François Gueyffier, Jean-Christophe Lega, Michel Cucherat
No abstract text is available yet for this article.
January 12, 2021: Diabetes Care
Patrick R Lawler, Hongyan Liu, Claudia Frankfurter, Leif Erik Lovblom, Yuliya Lytvyn, Dylan Burger, Kevin D Burns, Davor Brinc, David Z I Cherney
No abstract text is available yet for this article.
January 12, 2021: Diabetes Care
Maria J Redondo, Ingrid Libman, David M Maahs, Sarah K Lyons, Mindy Saraco, Jane Reusch, Henry Rodriguez, Linda A DiMeglio
The American Diabetes Association 2020 Standards of Medical Care in Diabetes (Standards of Care) recommends a hemoglobin A1c (A1C) of <7% (53 mmol/mol) for many children with type 1 diabetes (T1D), with an emphasis on target personalization. A higher A1C target of <7.5% may be more suitable for youth who cannot articulate symptoms of hypoglycemia or have hypoglycemia unawareness and for those who do not have access to analog insulins or advanced diabetes technologies or who cannot monitor blood glucose regularly...
January 11, 2021: Diabetes Care
Young-Rock Hong, Aaron S Kelly, Crystal Johnson-Mann, Dominick J Lemas, Michelle I Cardel
No abstract text is available yet for this article.
January 11, 2021: Diabetes Care
Coralie Amadou, Sylvia Franc, Pierre-Yves Benhamou, Sandrine Lablanche, Erik Huneker, Guillaume Charpentier, Alfred Penfornis
OBJECTIVE: To analyze safety and efficacy of the Diabeloop Generation 1 (DBLG1) hybrid closed-loop artificial pancreas system in patients with type 1 diabetes in real-world conditions. RESEARCH DESIGN AND METHODS: After a 1-week run-in period with their usual pump, 25 patients were provided the commercial DBLG1 system. The results are presented on time in range (TIR) and HbA1c over 6 months. RESULTS: The mean (SD; range) age of patients was 43 (13...
January 11, 2021: Diabetes Care
Guo-Chong Chen, Rhonda Arthur, Li-Qiang Qin, Li-Hua Chen, Zhendong Mei, Yan Zheng, Yang Li, Tao Wang, Thomas E Rohan, Qibin Qi
OBJECTIVE: To evaluate associations of oily and nonoily fish consumption and fish oil supplements with incident type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS: We included 392,287 middle-aged and older participants (55.0% women) in the UK Biobank who were free of diabetes, major cardiovascular disease, and cancer and had information on habitual intake of major food groups and use of fish oil supplements at baseline (2006-2010). Of these, 163,706 participated in one to five rounds of 24-h dietary recalls during 2009-2012...
January 11, 2021: Diabetes Care
Kirthi Menon, Barbora de Courten, Danny Liew, Zanfina Ademi, Alice J Owen, Dianna J Magliano, Ella Zomer
OBJECTIVE: Diabetes imposes a heavy burden on both health and productivity. In this study, we sought to estimate the potential productivity gains associated with the prevention of type 2 diabetes over the next 10 years in Australia. RESEARCH DESIGN AND METHODS: Dynamic life table models were constructed to estimate years of life lived and productivity-adjusted life-years (PALYs) lived by Australians aged 20-69 years over the period from 2020 to 2029. The models distinguished people with and without type 2 diabetes...
January 8, 2021: Diabetes Care
Michael Fang, Elizabeth Selvin
OBJECTIVE: To assess the prevalence of and trends in complications among U.S. adults with newly diagnosed diabetes. RESEARCH DESIGN AND METHODS: We included 1,486 nonpregnant adults (aged ≥20 years) with newly diagnosed diabetes (diagnosed within the past 2 years) from the 1988-1994 and 1999-2018 National Health and Nutrition Examination Survey. We estimated trends in albuminuria (albumin-to-creatinine ratio ≥30 mg/g), reduced estimated glomerular filtration rate (eGFR <60 mL/min/1...
January 8, 2021: Diabetes Care
Qi Jin, Ni Shi, Desmond Aroke, Dong Hoon Lee, Joshua J Joseph, Macarius Donneyong, Darwin L Conwell, Phil A Hart, Xuehong Zhang, Steven K Clinton, Zobeida Cruz-Monserrate, Theodore M Brasky, Rebecca Jackson, Lesley F Tinker, Simin Liu, Lawrence S Phillips, Aladdin H Shadyab, Rami Nassir, Wei Bao, Fred K Tabung
OBJECTIVE: The empirical dietary index for hyperinsulinemia (EDIH) and empirical dietary inflammatory pattern (EDIP) scores assess the insulinemic and inflammatory potentials of habitual dietary patterns, irrespective of the macronutrient content, and are based on plasma insulin response or inflammatory biomarkers, respectively. The glycemic index (GI) and glycemic load (GL) assess postprandial glycemic potential based on dietary carbohydrate content. We tested the hypothesis that dietary patterns promoting hyperinsulinemia, chronic inflammation, or hyperglycemia may influence type 2 diabetes risk...
January 8, 2021: Diabetes Care
Sara Pedron, Christoph F Kurz, Lars Schwettmann, Michael Laxy
OBJECTIVE: To assess the independent causal effect of BMI and type 2 diabetes (T2D) on socioeconomic outcomes by applying two-sample Mendelian randomization (MR) analysis. RESEARCH DESIGN AND METHODS: We performed univariable and multivariable two-sample MR to jointly assess the effect BMI and T2D on socioeconomic outcomes. We used overlapping genome-wide significant single nucleotide polymorphisms for BMI and T2D as instrumental variables. Their causal impact on household income and regional deprivation was assessed using summary-level data from the UK Biobank...
January 7, 2021: Diabetes Care
Maryam Saeed, German Tapia, Inger Ariansen, Lars C Stene, Ingebjørg Seljeflot, Grethe S Tell, Torild Skrivarhaug, Geir Joner
OBJECTIVE: To study whether serum galectin-3 and other biomarkers of inflammation predict coronary heart disease (CHD) in subjects with long-standing childhood-onset type 1 diabetes. RESEARCH DESIGN AND METHODS: A population-based nationwide cohort of 299 subjects with type 1 diabetes diagnosed in Norway at <15 years of age during 1973-1982. They were examined in 2002-2003 at a mean age of 33 years (range 21-44), with mean diabetes duration of 24 years (range 19-30)...
January 6, 2021: Diabetes Care
David T W Lui, Ching-Lung Cheung, Alan C H Lee, Ying Wong, Sammy W M Shiu, Kathryn C B Tan
OBJECTIVE: Carbamylation is part of the aging process and causes adverse changes in the structure and function of proteins. Lipoproteins are subjected to carbamylation. We investigated the usefulness of carbamylated HDL as a prognostic indicator of survival in patients with type 2 diabetes and the association with mortality outcomes. RESEARCH DESIGN AND METHODS: Baseline plasma carbamylated HDL was measured by ELISA in a cohort of 1,517 patients with type 2 diabetes...
January 5, 2021: Diabetes Care
Kalie L Tommerdahl, Karl Baumgartner, Michal Schäfer, Petter Bjornstad, Isabella Melena, Shannon Hegemann, Amy D Baumgartner, Laura Pyle, Melanie Cree-Green, Uyen Truong, Lorna Browne, Judith G Regensteiner, Jane E B Reusch, Kristen J Nadeau
OBJECTIVE: Insulin resistance and obesity are independently associated with type 1 diabetes (T1D) and are known risk factors for cardiovascular and kidney diseases, the leading causes of death in T1D. We evaluated the effect of BMI on cardiovascular and kidney outcomes in youth with T1D versus control youth with normal weight or obesity and youth with type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS: Pubertal youth ( n = 284) aged 12-21 years underwent assessments of resting heart rate (RHR), systolic blood pressure (SBP) and diastolic blood pressure (DBP), leptin, hs-CRP, adiponectin, ratio of urine albumin to creatinine, and estimated glomerular filtration rate (eGFR)...
January 5, 2021: Diabetes Care
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