Green and High Throughput Assay Using 96-Microwell Base to Determine Metformin Hydrochloride in the Tablet Dosage Form by Mohammed Alqarni, Atheer Alshehri, Bayan Almalki, Refah Althumali, Maram Alghamdi, Rawan Alqahtani, Safia G. Alotibi, Ali Alqarni, Adel H. Awad, Ibrahim A. Naguib

“…Metformin (MET) is an oral antidiabetic drug widely used as the primary treatment for type 2 diabetes mellitus (T2DM). While various spectrophotometric assays exist for determining MET in pharmaceutical formulations, they often have limited throughput for quality control purposes. …”
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PPARβ/δ Agonism with GW501516 Increases Myotube PGC-1α Content and Reduces BCAA Media Content Independent of Changes in BCAA Catabolic Enzyme Expression by Caroline N. Rivera, Jason S. Hinkle, Rachel M. Watne, Trent C. Macgowan, Andrew J. Wommack, Roger A. Vaughan

“…Background. Type 2 diabetes is characterized by reduced insulin sensitivity, elevated blood metabolites, and reduced mitochondrial metabolism with reduced expression of genes governing metabolism such as peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α). …”
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Assessment of Vitamin D-Binding Protein and Early Prediction of Nephropathy in Type 2 Saudi Diabetic Patients by Manal S. Fawzy, Baraah T. Abu AlSel

“…Serum and urine samples were obtained from 40 healthy volunteers and 120 patients with type 2 diabetes divided into 3 groups: normoalbuminuria, microalbuminuria, and macroalbuminuria (urinary albumin excretion rate < 30, 30–300, and >300 μg/mg, resp.); n=40/group. …”
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Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat by François Brial, Aurélie Le Lay, Claude Rouch, Edouard Henrion, Mathieu Bourgey, Guillaume Bourque, Mark Lathrop, Christophe Magnan, Dominique Gauguier

“…To generate a detailed atlas of the brain transcriptome in the context of diabetes, we carried out RNA sequencing in hypothalamus, hippocampus, brainstem and striatum of the Goto-Kakizaki (GK) rat model of spontaneous type 2 diabetes, which was applied to identify gene transcription adaptation to improved glycemic control following vertical sleeve gastrectomy (VSG) in the GK. …”
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When to Consider a Diagnosis of Maturity-Onset Diabetes of the Young: Precise Diagnosis Leads to Better Management and Quality of Life for the Patients by Yujia Gao, Kalyan Mansukhbhai Shekhda, Sarah N. Ali

“…We present three cases initially diagnosed as type 1 diabetes mellitus (T1DM), type 2 diabetes mellitus (T2DM), and fasting hyperglycemia, which were later identified as MODY. …”
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Using Adipose Measures from Health Care Provider-Based Imaging Data for Discovery by Elliot D. K. Cha, Yogasudha Veturi, Chirag Agarwal, Aalpen Patel, Mohammad R. Arbabshirani, Sarah A. Pendergrass

“…VAT levels were strongly associated with type 2 diabetes-related diagnoses (p = 1.5 × 10−58), obstructive sleep apnea (p = 7.7 × 10−37), high-density lipoprotein (HDL) levels (p = 1.42 × 10−36), triglyceride levels (p = 1.44 × 10−43), and white blood cell (WBC) counts (p = 7.37 × 10−9). …”
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Correlation Analysis between Nerve Fiber Layer Thickness and Peripapillary Vessel Density and Influencing Factors of Peripapillary Vessel Density in Preclinical Diabetic Retinopath... by Donghui Li, Qichang Wang

“…Thirty-four eyes of 34 type 2 diabetes mellitus (T2DM) patients diagnosed with preclinical diabetic retinopathy (DR) were included in our study, with twenty-three eyes of 23 healthy subjects set up as normal controls. …”
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Влияние курсового приема L-орнитин- L-аспартата на фиброз и стеатоз печени у больных ассоциированной с нарушениями метаболизма жировой болезнью печени (неалкогольной жировой болезн... by Е. V. Garanina

“…MAFLD-hyperammonaemic patients also had the significantly higher male ratio, type 2 diabetes and severer hepatic steatosis rates vs. hyperammonaemia-negative MAFLD individuals. …”
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Assessing the health and economic burden of obesity-related complications in East-Asian populations: implementation of risk equations in the Core Obesity Model for Japan and model... by Ichiro Tatsuno, Mark Lamotte, Laetitia Gerlier, Anamaria-Vera Olivieri, James Baker-Knight

“…We aimed to adapt the core obesity model (COM) to predict incidences of weight-associated diseases, including type 2 diabetes, acute coronary syndrome (ACS), stroke, cancers, sleep apnoea, hyperuricaemia/gout, total knee replacement (TKR) and non-alcoholic fatty liver disease (NAFLD) in a Japanese population.Methods and analysis Literature was searched to identify studies reporting the association between risk factors and comorbidities in Japanese populations. …”
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The influence of the pharmacodynamic properties of drugs on indications for their use: Sodium-glucose cotransporter 2 inhibitors (SGLT2 inhibitors) by Denda Nikola I., Maletin Nemanja Z., Atanasković Marko B., Vučković Biljana A., Rašković Aleksandar L.

“…Introduction: Sodium-glucose cotransporter type 2 (SGLT2) inhibitors play a crucial role in type 2 diabetes treatment, exerting effects on proximal tubules to reduce glucose reab-sorption and enhance urinary excretion, offering cardiovascular and renoprotective benefits. …”
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Current views on etiology, diagnosis, epidemiology and gene therapy of maturity onset diabetes in the young by Lilya U. Dzhemileva, Elena N. Zakharova, Anna O. Goncharenko, Maria V. Vorontsova, S. A. Rumyantsev, Natalia G. Mokrysheva, Marina Y. Loguinova, Vladimir P. Chekhonin

“…MODY is a rare cause of diabetes, accounting for 1% of all cases, and is often misdiagnosed as type 1 or type 2 diabetes. It is of great importance to accurately diagnose MODY, as this allows for the most appropriate treatment of patients and facilitates early diagnosis for them and their families. …”
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Diabetes mellitus educational intervention in patients at risk from a medical office. Nuevitas, 2020-2023 by Maigret Calderón Cruz, Julio Michel Arias Manganelly, Olenis Alicia Aldana Ramos, Lieter Ailed Vidal Rodríguez, Pedro Figueredo Guerra, Aned Hernández Clavijo

“…<br /><strong>Objective</strong>: to describe an educational intervention on type 2 diabetes mellitus results in patients with risk factors.…”
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Paternal metabolic and cardiovascular programming of their offspring: A systematic scoping review. by Claudia Eberle, Michaela F Kirchner, Raphaela Herden, Stefanie Stichling

“…But, there is also increasing evidence that cardio-metabolic diseases may be closely linked to their paternal metabolic risk factors, such as obesity, Type 2 Diabetes and other risk factors.<h4>Objective</h4>To analyse the evidence as well as specific risk factors of paternal trans-generational programming of cardio-metabolic diseases in their offspring.…”
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Effect of Liraglutide on Serum TSH Levels in Patients with NAFLD and its Underlying Mechanisms by JiaoJiao Ye, Jing Xu, WenJie Wen, Bin Huang

“…This study aimed to evaluate the effect of liraglutide on serum thyroid-stimulating hormone (TSH) levels in patients with type 2 diabetes mellitus (T2DM) and explore the underlying mechanisms via bioinformatics analysis. …”
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The Role of Pharmaceutical Innovation in Clinical Practice Guidelines for Chronic Diseases by Meaghan Roach, Natalie Land, Jennifer Hernandez, Reina Rau, Jacquelyn W. Chou, Stacey S. Hickson, Danielle F. Rollmann, J. Ross Maclean

“…Clinical practice guidelines published from 2000 to 2021 were identified for five chronic diseases: ischemic heart disease (IHD), non-small cell lung cancer (NSCLC), chronic obstructive pulmonary disease (COPD), Alzheimer’s disease (AD), and type 2 diabetes (T2D). Guidelines were reviewed and data on treatment recommendations were collected, including the type of intervention, line of therapy, and, for pharmacotherapies, year of regulatory approval and year of inclusion in guidelines. …”
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Pengaruh Kombinasi Metformin dan Ekstrak Kunyit terhadap Kadar High Density Lipoprotein, Interleukin-6 dan Tumor Necrosis Factor-a by Fathia Kesuma Dinanti, Sri Priyantini Mulyani, Chodidjah - -

“…A  decrease in high-density lipoprotein (HDL) happens in type 2 diabetes mellitus. The cytokines TNFa and IL-6 are proinflammatory cytokines that are elevated in the blood in many patients with DM. …”
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Data Homogeneity Effect in Deep Learning-Based Prediction of Type 1 Diabetic Retinopathy by Jui-En Lo, Eugene Yu-Chuan Kang, Yun-Nung Chen, Yi-Ting Hsieh, Nan-Kai Wang, Ta-Ching Chen, Kuan-Jen Chen, Wei-Chi Wu, Yih-Shiou Hwang, Fu-Sung Lo, Chi-Chun Lai

“…This study is aimed at evaluating a deep transfer learning-based model for identifying diabetic retinopathy (DR) that was trained using a dataset with high variability and predominant type 2 diabetes (T2D) and comparing model performance with that in patients with type 1 diabetes (T1D). …”
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Squamous Cell Carcinoma of Nasofacial Groove by Tamajit Sau, Saumitra Kumar, Ankita Atin Mukherjee, Debalina Mazumdar

“…Case Report: A 65-year-old housewife with hypertension and type 2 Diabetes Mellitus presented with painless swelling over right nasofacial groove for last 5 months which was insidious in onset, gradually progressive to reach the present size. …”
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Characteristics and Clinical Course of Patients with Acute Myocardial Infarction and ST-segment Elevation with and without Interatrial Block by Francisco de Jesús Valladares Carvajal, Verónica Mercedes Carretero Acosta, Raimundo Carmona Puerta, Aymara Marcia Hernández Cardoso, Ernesto Julio Bernal Valladares

“…Demographic variables were analyzed: age, sex, skin color and between clinics: toxic habits; (smoker, ex-smoker); medical history (myocardial infarction, angina, peripheral arterial disease, arterial hypertension, type 2 diabetes mellitus, chronic kidney disease; infarct location (anterior, inferior, left bundle branch block); complications: heart failure, atrial fibrillation, ventricular tachycardia/ventricular fibrillation, atrioventricular conduction disorders, mechanical complication, post infarction angina, arterial embolism) and discharge status (alive or deceased). …”
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Ficus carica and Sizigium cumini Regulate Glucose and Lipid Parameters in High-Fat Diet and Streptozocin-Induced Rats by El-Shaimaa A. Arafa, Waseem Hassan, Ghulam Murtaza, Manal Ali Buabeid

“…Results showed that both FC.Cr. and SC.Cr. have the potential to control obesity-linked type 2 diabetes mellitus (T2DM) by lowering the body weights, serum glucose, cholesterol, TG, LDL, and VLDL, while increasing the protective effects of HDL dose-dependently. …”
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