Optimized scaffold-free human 3D adipose tissue organoid culture for obesity and disease modeling by Rafael Dariolli, Raphael Nir, Tova Mushlam, Glauco R. Souza, Stephen R. Farmer, Miguel L Batista, Jr.

“…Obesity and type 2 diabetes (T2D) are strongly linked to abnormal adipocyte metabolism and adipose tissue (AT) dysfunction. …”
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The impact of uric acid on musculoskeletal diseases: clinical associations and underlying mechanisms by Jing Zhang, Na Sun, Wanhao Zhang, Wenjie Yue, Xiaochen Qu, Xiaochen Qu, Zhonghai Li, Zhonghai Li, Gang Xu, Gang Xu

“…Serum urate (SU) levels are significantly elevated in conditions such as gout, type 2 diabetes (T2D), obesity, and other metabolic syndromes. …”
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Sub-Clinical Regional Macular Changes in Self-Reported Diabetic Subjects: Vascular and Retinal Layer Analysis Using Swept-Source OCT by Challa NK, Alghamdi WM, Alluwimi MS, Alshammeri S

“…Naveen Kumar Challa, Waleed M Alghamdi, Muhammed S Alluwimi, Saleh Alshammeri Department of Optometry, College of Applied Medical Sciences, Qassim University, Buraidah, AlQassim, Saudi ArabiaCorrespondence: Naveen Kumar Challa, Department of Optometry, College of Applied Medical Sciences, Qassim University, Buraidah, AlQassim, Saudi Arabia, Tel +966531177518, Email N.challa@qu.edu.saAim: To assess and compare subclinical alterations in superficial capillary plexus vessel density (SCPVD) and retinal layers thickness in the macular region between individuals with type 2 diabetes mellitus (DM) and healthy controls.Methods: Swept-source OCT images were obtained from 29 control subjects and 24 diabetic subjects. …”
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NADPH Oxidase 2-Mediated Insult in the Auditory Cortex of Zucker Diabetic Fatty Rats by Zheng-De Du, Wei Wei, Shukui Yu, Qing-Ling Song, Ke Liu, Shu-Sheng Gong

“…Clinical data has confirmed that auditory impairment may be a secondary symptom of type 2 diabetes mellitus (T2DM). However, mechanisms underlying pathologic changes that occur in the auditory system, especially in the central auditory system (CAS), remain poorly understood. …”
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Exploring the Molecular Modalities in the Pathogenesis of Diabetic Kidney Disease with a Focus on the Potential Therapeutic Implications by Lyubomir Gaydarski, Kristina Petrova, Ivan Angushev, Stancho Stanchev, Alexandar Iliev, Nikola Stamenov, Vidin Kirkov, Boycho Landzhov

“…Diabetic kidney disease (DKD) is a leading cause of chronic kidney disease (CKD) and end-stage renal disease worldwide, affecting approximately 40% of individuals with type 2 diabetes (T2DM) and 30% of those with type 1 diabetes (T1DM). …”
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The protective role of GLP-1 in neuro-ophthalmology by Sohum Sheth, Aashay Patel, Marco Foreman, Mohammed Mumtaz, Akshay Reddy, Ramy Sharaf, Siddharth Sheth, Brandon Lucke-Wold

“…Glucagon-like peptide 1 receptor agonists (GLP-1RAs), traditionally used in the treatment of type 2 diabetes, are becoming increasingly appreciated for their diverse applications. …”
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Mortality and Years of Life Lost in Diabetes Mellitus and Its Subcategories in China and Its Provinces, 2005–2020 by Feixue Wang, Wei Wang, Peng Yin, Yunning Liu, Jiangmei Liu, Lijun Wang, Jinlei Qi, Jinlin You, Lin Lin, Maigeng Zhou

“…The age standardized mortality rate (ASMR) of DM increased from 12.18 per 100,000 in 2005 to 13.62 per 100,000 in 2020, which was an increase of 11.86%. The ASMR of type 2 diabetes mellitus (T2DM) was much higher than that of type 1 diabetes mellitus (T1DM). …”
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Diabetes and Insulin Therapy, but Not Metformin, Are Related to Hepatocellular Cancer Risk by Luca Miele, Cristina Bosetti, Federica Turati, Gianlodovico Rapaccini, Antonio Gasbarrini, Carlo La Vecchia, Stefania Boccia, Antonio Grieco

“…Metabolic conditions, including type 2 diabetes, have been related to hepatocellular carcinoma (HCC) risk. …”
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Risk Factors for Mortality in Melioidosis: A Single-Centre, 10-Year Retrospective Cohort Study by Raviraj Menon, Poornima Baby, Anil Kumar V., Sandeep Surendran, Manu Pradeep, Aiswarya Rajendran, Gaayathri Suju, Arathy Ashok

“…Seventy-three melioidosis patients’ records were analysed, and the most common comorbidity was type 2 diabetes mellitus (n = 53, 72.6%). The patients showed diverse presentations: pulmonary involvement, 30 (41.1%); splenomegaly, 29 (39.7%); abscesses and cutaneous involvement, 18 (24.7%); lymph node, 10 (13.7%); arthritis and osteomyelitis, 9 (12.3%); and genitourinary infection, 4 (5.4%). …”
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Genome-Wide DNA Methylation in Mixed Ancestry Individuals with Diabetes and Prediabetes from South Africa by Tandi E. Matsha, Carmen Pheiffer, Stephen E. Humphries, Junaid Gamieldien, Rajiv T. Erasmus, Andre P. Kengne

“…To conduct a genome-wide DNA methylation in individuals with type 2 diabetes, individuals with prediabetes, and control mixed ancestry individuals from South Africa. …”
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Real-world clinical validation of the Qatar pre-diabetes risk score: a cross-sectional study by Mohamed Ahmed Syed, Narjiss Sallahi, Abduljaleel Abdullatif Zainel, Halima None Bensmail, Abdelilah Arredouani

“…Introduction Pre-diabetes stands as a prominent, independent risk factor for the onset of type 2 diabetes (T2D), with 5%–10% of individuals with pre-diabetes progressing to T2D annually. …”
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<i>Alaria esculenta, Ulva lactuca</i>, and <i>Palmaria palmata</i> as Potential Functional Food Ingredients for the Management of Metabolic Syndrome by Emer Shannon, Maria Hayes

“…Hypertension, type 2 diabetes (T2D), and obesity raise an individual’s risk of suffering from diseases associated with metabolic syndrome (MS). …”
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Evaluation of the Short-Term Effect of Bariatric Surgery on the Level of HbA1c by Hadi Salehnia, Abbas Ali Dehghan, Sara Rashki Ghalehnoo

“…Background: Obesity is one of the most common diseases in the world, and type 2 diabetes (T2DM) is one of the common complications of obesity. …”
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Perception and impact of customized physical activity programs on objective physical activity parameters in prediabetes by Radhika Aditya Jadhav, G. Arun Maiya, Vidyut Rajhans, Shashikiran Umakanth, Shivashankara K N

“…Background: Prediabetes is an established vital risk factor for Type 2 Diabetes Mellitus (T2DM), yet an under-recognized problem. …”
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Scientometric Evaluation of Research Productivity on Diabetes from the Kingdom of Saudi Arabia over the Last Two Decades (2000-2019) by Zohair Jamil Gazzaz, Nadeem Shafique Butt, Nadeem Alam Zubairi, Ahmad Azam Malik

“…Diabetes, Diabetes Mellitus, and Type 2 Diabetes were the most frequently used keywords. …”
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Glycemic Profile and Clinical Treatment in Patients with Diabetes Mellitus-Tuberculosis: An Update Scoping Review by Rissaadah S, Nursiswati N, Pahria T

“…Raya Bandung Sumedang KM.21 Hegarmanah, Jatinangor, Sumedang, West Java, 45363, Indonesia, Tel +62895604502223, Email nursiswati@unpad.ac.idBackground: Type 2 diabetes mellitus (T2DM), characterized by chronic hyperglycemia, leads to a decreased immune system and increased susceptibility to infections, such as tuberculosis (TB). …”
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Comparison of Insulin Lispro Protamine Suspension with NPH Insulin in Pregnant Women with Type 2 and Gestational Diabetes Mellitus: Maternal and Perinatal Outcomes by Antonietta Colatrella, Natalia Visalli, Santina Abbruzzese, Sergio Leotta, Marzia Bongiovanni, Angela Napoli

“…Eighty-nine pregnant women (25 with type 2 diabetes and 64 with gestational diabetes mellitus; 53 under insulin lispro protamine suspension and 36 under human NPH insulin) were recruited. …”
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Explainable Machine Learning for Efficient Diabetes Prediction Using Hyperparameter Tuning, SHAP Analysis, Partial Dependency, and LIME by Md. Manowarul Islam, Habibur Rahman Rifat, Md. Shamim Bin Shahid, Arnisha Akhter, Md Ashraf Uddin, Khandaker Mohammad Mohi Uddin

“…This research focused on classifying type 2 diabetes using machine learning and providing an explanation for the outcomes derived from the model predictions. …”
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Evaluation of the digital diabetes prevention programme pilot: uncontrolled mixed-methods study protocol by William Henley, Elizabeth Murray, Kerry Daff, Anthi Lavida, Jenny Irwin, Jonathan Valabhji

“…Introduction The prevalence of type 2 diabetes is rising steeply. National Health Service England (NHSE) is exploring the potential of a digital diabetes prevention programme (DDPP) and has commissioned a pilot with embedded evaluation.Methods and analysis This study aims to determine whether, and if so, how, should NHSE implement a national DDPP, using a mixed-methods pretest and post-test design, underpinned by two theoretical frameworks: the Coventry, Aberdeen and London - Refined (CALO-RE) taxonomy of behavioural change techniques for the digital interventions and the Consolidated Framework for Implementation Research (CFIR) for implementation processes. …”
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The Comorbidity of Depression and Diabetes Is Involved in the Decidual Protein Induced by Progesterone 1 (Depp1) Dysfunction in the Medial Prefrontal Cortex by Chen Xu, Mengxing Liao, Shize Zhang, Yuang Chen, Xinyue Shulai, Guangji Wang, Jiye Aa

“…Background: There is a high rate of depressive symptoms such as irritability, anhedonia, fatigue, and hypersomnia in patients with type 2 diabetes mellitus (T2DM). However, the causes and underlying mechanisms of the comorbidity of depression and diabetes remain unknown. …”
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