Prospective Longitudinal Characterization of the Relationship between Diabetes and Cardiac Structural and Functional Changes by Amrit Chowdhary, Nicholas Jex, Sharmaine Thirunavukarasu, Amanda MacCannell, Natalie Haywood, Altaf Almutairi, Lavanya Athithan, Manali Jain, Thomas Craven, Arka Das, Noor Sharrack, Christopher E. D. Saunderson, Anshuman Sengupta, Lee Roberts, Peter Swoboda, Richard Cubbon, Klaus Witte, John Greenwood, Sven Plein, Eylem Levelt

“…Objectives. In a cohort of type 2 diabetic (T2D) patients who underwent baseline cardiac magnetic resonance (CMR) and biomarker testing, during a median follow-up of 6 years, we aimed to determine longitudinal changes in the phenotypic expression of heart disease in diabetes, report clinical outcomes, and compare baseline clinical characteristics and CMR findings of patients who experienced major adverse cardiovascular events (MACE) to those remaining MACE free. …”
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The Clinical Pharmacokinetics and Pharmacodynamics of Glimepiride—A Systematic Review and Meta-Analysis by Mubara Azhar, Mohammed S. Alasmari, Ammara Zamir, Hamid Saeed, Faleh Alqahtani, Tanveer Ahmad, Muhammad Fawad Rasool

“…<b>Background/Objectives:</b> Glimepiride (GLM), a commonly used sulphonylurea drug for the management of type 2 diabetes mellitus (T2DM), has been the subject of numerous studies exploring its kinetic behaviors. …”
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Ranolazine Improves Glycemic Variability and Endothelial Function in Patients with Diabetes and Chronic Coronary Syndromes: Results from an Experimental Study by Annunziata Nusca, Federico Bernardini, Fabio Mangiacapra, Ernesto Maddaloni, Rosetta Melfi, Elisabetta Ricottini, Francesco Piccirillo, Silvia Manfrini, Gian Paolo Ussia, Francesco Grigioni

“…However, whether ranolazine may improve short-term glycemic variability (GV), strictly related to the prognosis of patients with type 2 diabetes (T2D), is unknown. Thus, we aimed to explore the effects of adding ranolazine to standard anti-ischemic and glucose-lowering therapy on long- and short-term GV as well as on endothelial function and oxidative stress in patients with T2D and CCS. …”
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miR-210 in Exosomes Derived from Macrophages under High Glucose Promotes Mouse Diabetic Obesity Pathogenesis by Suppressing NDUFA4 Expression by Feng Tian, Ping Tang, Zhilian Sun, Ruifen Zhang, Danhua Zhu, Junying He, Jixing Liao, Qinghua Wan, Jie Shen

“…Objective. Type 2 diabetes mellitus (T2DM) is featured by insulin resistance and lipid metabolism dysregulation. …”
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Impact of dapagliflozin on metabolic phenotype, hormone levels, and fertility in female mice after prolonged high-fat diet by Xiaolin Chen, Zhuoni Xiao, Na Dai, Mingxia Fan

“…The sodium-glucose cotransporter 2 inhibitors (SGLT2i) have emerged as a treatment for type 2 diabetic patients, regulating adipose tissue metabolism, hypothalamic inflammation, and ovulation in women with polycystic ovary syndrome (PCOS). …”
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Exploring the path to optimal diabetes care by unravelling the contextual factors affecting access, utilisation, and quality of primary health care in West Africa: A scoping review... by Abdul-Basit Abdul-Samed, Ellen Barnie Peprah, Yasmin Jahan, Veronika Reichenberger, Dina Balabanova, Tolib Mirzoev, Henry Lawson, Eric Odei, Edward Antwi, Irene Agyepong

“…Over 90% of cases are Type 2 diabetes (IDF, World Bank). As diabetes is ambulatory care sensitive, good primary care is crucial to reduce complications and mortality. …”
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Evaluation of macular retinal oximetry across different levels of diabetic retinopathy: a cross sectional study by Jennyffer D. Smith, Kaitlyn A. Sapoznik, Kelly Bisignano, Julia Benoit, Wendy W. Harrison

“…Abstract Background This study evaluates retinal oxygen saturation and vessel density within the macula and correlates these measures in controls and subjects with type 2 diabetes (DM) with (DMR) and without (DMnR) retinopathy. …”
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Prevalence of diabetes-related sarcopenia and its defining components within primary care: A cross-sectional study by Rubén Silva-Tinoco, Lilia Castillo-Martínez, Berenice Cabrera-Victoria, Eileen Guzmán-Olvera, Christian Hinojosa-Segura, Alejandro Avalos-Bracho, Cira Santillán-Díaz

“…This study aimed to assess the prevalence of sarcopenia and at-risk morphofunctional (MF) phenotypes and to identify the factors associated in patients with type 2 diabetes (T2D), including non-elderly adults, in primary care settings Methods: This cross-sectional study included 261 individuals managed in primary care units in Mexico City, between July 2022 and May 2024. …”
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Mutation yellow in agouti loci prevents age-related increase of skeletal muscle genes regulating free fatty acids oxidation by Y. V. Piskunova, A. Y. Kazantceva, A. V. Baklanov, N. M. Bazhan

“…The lethal yellow mutation in agouti loci (Ay mutation) reduces the activity of melanocortin (MC) receptors and causes hyperphagia, obesity and type two diabetes mellitus in aging mice (Ay mice). It is unknown if changes in distinct elements of the metabolic system such as white adipose tissue (WAT) and brown adipose tissue (BAT), and skeletal muscle will manifest before the development of obesity. …”
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Elevated and Correlated Expressions of miR-24, miR-30d, miR-146a, and SFRP-4 in Human Abdominal Adipose Tissue Play a Role in Adiposity and Insulin Resistance by Yury O. Nunez Lopez, Gabriella Garufi, Magdalena Pasarica, Attila A. Seyhan

“…Abdominal adipose tissue (AbdAT) levels of thirteen microRNAs (miRNAs), SFRP4, and VEGF in lean nondiabetic subjects (n=7), subjects with obesity (n=5), and subjects with obesity and type 2 diabetes (T2DM) (n=5) were measured by qPCR. Insulin sensitivity was measured by the euglycemic-hyperinsulinemic clamp. …”
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Contributions of Fasting and Postprandial Glucose Concentrations to Haemoglobin A1c in Drug-Naïve Mal-Glucose Metabolism in Chinese Population Using Continuous Glucose Monitoring S... by Rengna Yan, Yun Hu, Fengfei Li, Lanlan Jiang, Xiaohua Xu, Jie Wang, Ying Zhang, Lei Ye, Kok Onn Lee, Xiaofei Su, Jianhua Ma

“…To clarify the contributions of fasting glucose (FG) and postprandial glucose (PG) to HbA1c in drug-naïve patients with type 2 diabetes (T2D) and impaired glucose tolerate (IGT)/impaired fasting glucose (IFG). …”
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Multi-omics mechanical analysis of gut microbiota, carboxylic acids, and cardiac gene expression interaction triggering diabetic cardiomyopathy by Meixin Shi, Bingbing Zhao, Wenjie Cai, Hui Yuan, Xiao Liang, Zhitao Li, Xinyu Liu, Ye Jin, Xi Liu, Can Wei

“…Also, according to the Pearson correlation analysis, a significant positive correlation was found between CAs and PPAR signaling pathway-related DEGs, and a negative correlation was found between CAs and the abundance of the above-mentioned species. To sum up, type 2 diabetes mellitus (T2DM) can upregulate the expression of partial cardiac genes through the levels of serum short-chain CAs affected by gut microbiota, thus playing a role in the occurrence and development of diabetic cardiomyopathy (DCM).IMPORTANCEOur research results clearly link the changes in heart genes of T2DM and normal mice with changes in serum metabolites and gut microbiota, indicating that some genes in biological processes are closely related to the reduction of protective microbiota in the gut microbiota. …”
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Serum adropin levels as a potential biomarker for predicting diabetic kidney disease progression by I-Wen Chen, I-Wen Chen, Cheng-Wei Lin, Cheng-Wei Lin, Cheng-Wei Lin, Chia-Ni Lin, Chia-Ni Lin, Szu-Tah Chen, Szu-Tah Chen, Szu-Tah Chen

“…BackgroundTo investigate the value of serum adropin in predicting chronic kidney disease (CKD) progression in subjects with type 2 diabetes (T2D).Materials and methodsSerum adropin levels were measured in normal control and T2D patients with various stage of CKD. …”
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The Role of Quercetin and Exercise in Modulating Apoptosis and Cardiomyopathy via PI3K/AKT/FOXO3 Pathways in Diabetic Obese Rats by Mojdeh Khajehlandi, Lotfali Bolboli

“…The rats were fed a high-fat diet (HFD) for 8 weeks and a low dose of streptozotocin (STZ)was administered to create a model of type 2 diabetes mellitus (T2DM). Eight weeks of HIIT and MICT with or withoutquercetin treatment were performed. …”
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The Determinants of Adolescent Glycolipid Metabolism Disorder: A Cohort Study by Xiao-Hua Liang, Lun Xiao, Jing-Yu Chen, Ping Qu, Xian Tang, Yuwei Wang

“…The increased prevalence of glycolipid metabolism disorders (GLMD) in childhood and adolescents has a well-established association with adult type 2 diabetes and cardiovascular diseases; therefore, determinants of GLMD need to be evaluated during this period. …”
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One-Year Clinical Outcome in Middle Eastern Patients with Atrial Fibrillation: The Jordan Atrial Fibrillation (JoFib) Study by Ayman Hammoudeh, Yousef Khader, Ramzi Tabbalat, Yahya Badaineh, Nazih Kadri, Haneen Shawer, Eyas Al-Mousa, Rasheed Ibdah, Batool A. Shawer, Imad A. Alhaddad

“…Independent predictors for all-cause mortality in patients with NVAF were age>75 years, heart failure, major bleeding event, type 2 diabetes mellitus, study enrollment as an in-patient, and coronary heart disease. …”
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High Glucose with Insulin Induces Cell Cycle Progression and Activation of Oncogenic Signaling of Bladder Epithelial Cells Cotreated with Metformin and Pioglitazone by Daejin Kim, Byul-Nim Ahn, YeongSeok Kim, Dae Young Hur, Jae Wook Yang, Ga Bin Park, Jung Eun Jang, Eun Ju Lee, Min Jeong Kwon, Tae Nyun Kim, Mi Kyung Kim, Jeong Hyun Park, Byoung Doo Rhee, Soon Hee Lee

“…This study investigated molecular mechanism underlying effects of metformin and pioglitazone in bladder epithelial carcinogenesis in type 2 diabetes. The cells derived from human bladder epithelial cells (HBlEpCs) were treated with metformin or pioglitazone with high glucose and insulin. …”
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Digital intervention promoting physical activity among obese people (DIPPAO) randomised controlled trial: study protocol by Bruno Pereira, Martine Duclos, Alexandre Mazéas, Aïna Chalabaev, Marine Blond

“…Introduction Physical inactivity and excessive sedentary behaviours are major preventable causes in both the development and the treatment of obesity and type 2 diabetes mellitus (T2DM). Nevertheless, current programmes struggle to engage and sustain physical activity (PA) of patients over long periods of time. …”
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A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression&#x2014;An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

“…This study introduces an optimized Light Gradient-Boosting Machine (Light GBM) and K-Nearest Neighbour (KNN) based ensemble algorithm for predicting diabetic progression of Type 2 Diabetes, classifying it as high or low risk, using patient health parameters and serum measurements. …”
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Digital health technologies and innovation patterns in diabetes ecosystems by Odile-Florence Giger, Estelle Pfitzer, Wasu Mekniran, Hannes Gebhardt, Elgar Fleisch, Mia Jovanova, Tobias Kowatsch

“…Background The global rise in type-2 diabetes (T2D) has prompted the development of new digital technologies for diabetes management. …”
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