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  • Open Access

    REVIEW

    Unraveling the molecular crossroads: T2DM and Parkinson’s disease interactions

    TINGTING LIU#, XIANGRUI KONG#, JIANSHE WEI*

    BIOCELL, Vol.48, No.12, pp. 1735-1749, 2024, DOI:10.32604/biocell.2024.056272 - 30 December 2024

    Abstract Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder characterized by persistent hyperglycemia. In recent times, an elevated risk of Parkinson’s disease (PD) development among individuals with T2DM has become evident. However, the molecular mechanisms that underpin the interplay between T2DM and the pathogenesis of PD remain to be elucidated. Nevertheless, recent epidemiological studies have underscored several shared molecular pathways that are crucial for normal cellular function and are also associated with the progression and etiology of both T2DM and PD. This review encapsulates some of the shared pathophysiological mechanisms, including genetic risk factors, More >

  • Open Access

    ARTICLE

    H1-antihistamine use and head and neck cancer risk in type 2 diabetes mellitus

    YI-NONG CHEN1,#, YING-LIN CHEN1,#, WAN-MING CHEN2,3, MINGCHIH CHEN2,3, BEN-CHANG SHIA2,3, JENQ-YUH KO1,4, SZU-YUAN WU2,3,5,6,7,8,9,10,11,*

    Oncology Research, Vol.31, No.1, pp. 23-34, 2023, DOI:10.32604/or.2022.028449 - 01 March 2023

    Abstract This study aimed to examine the association between the use of H1-antihistamines (AHs) and head and neck cancer (HNC) risk in patients with type 2 diabetes mellitus (T2DM). Data from the National Health Insurance Research Database of Taiwan were analyzed for the period from 2008 to 2018. A propensity-score-matched cohort of 54,384 patients each in the AH user and nonuser groups was created and analyzed using Kaplan-Meier method and Cox proportional hazards regression. The results showed that the risk of HNC was significantly lower in AH users (adjusted hazard ratio: 0.55, 95% CI: 0.48 to More >

  • Open Access

    ARTICLE

    Deep Learning Based Process Analytics Model for Predicting Type 2 Diabetes Mellitus

    A. Thasil Mohamed, Sundar Santhoshkumar*

    Computer Systems Science and Engineering, Vol.40, No.1, pp. 191-205, 2022, DOI:10.32604/csse.2022.016754 - 26 August 2021

    Abstract Process analytics is one of the popular research domains that advanced in the recent years. Process analytics encompasses identification, monitoring, and improvement of the processes through knowledge extraction from historical data. The evolution of Artificial Intelligence (AI)-enabled Electronic Health Records (EHRs) revolutionized the medical practice. Type 2 Diabetes Mellitus (T2DM) is a syndrome characterized by the lack of insulin secretion. If not diagnosed and managed at early stages, it may produce severe outcomes and at times, death too. Chronic Kidney Disease (CKD) and Coronary Heart Disease (CHD) are the most common, long-term and life-threatening diseases… More >

  • Open Access

    ARTICLE

    Diabetic nephropathy, autophagy and proximal tubule protein endocytic transport: A potentially harmful relationship

    Maximiliano GIRAUD-BILLOUD1,2,*, Claudio M. FADER1,3, Rocío AGÜERO2, Fernando EZQUER4, Marcelo EZQUER4

    BIOCELL, Vol.42, No.2, pp. 35-40, 2018, DOI:10.32604/biocell.2018.07010

    Abstract Diabetic nephropathy (DN) is the most frequent cause of chronic renal failure. Until now, the pathophysiological mechanisms that determine its development and progression have not yet been elucidated. In the present study, we evaluate the role of autophagy at early stages of DN, induced in type 2 diabetes mellitus (T2DM) mouse, and its association with proximal tubule membrane endocytic receptors, megalin and cubilin. In T2DM animals we observed a tubule-interstitial injury with significantly increased levels of urinary GGT and ALP, but an absence of tubulointerstitial fibrosis. Kidney proximal tubule cells of T2DM animals showed autophagic… More >

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