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  • Open Access

    REVIEW

    Maternal Diabetes Mellitus and Congenital Heart Diseases: Systematic Review

    Roberto Noya Galluzzo1, Karine Souza Da Correggio1, Aldo von Wangenheim2, Heron Werner3, Nathalie Jeanne Bravo-Valenzuela4, Edward Araujo Júnior5,6,*, Alexandre Sherlley Casimiro Onofre7

    Congenital Heart Disease, Vol.20, No.1, pp. 89-101, 2025, DOI:10.32604/chd.2025.063014 - 18 March 2025

    Abstract Introduction: Diabetes mellitus (DM), a metabolic disorder, leads to organ damage due to chronic hyperglycemia with multiple pathogenic processes. Gestational diabetes mellitus (GDM) poses risks to mothers and offspring, increasing the incidence of structural congenital heart disease (CHD) and myocardial hypertrophy in newborns. Objective: This review aimed to examine the association between maternal diabetes mellitus and CHD. Methods: This systematic review used the STROBE and TRIPOD checklists registered in PROSPERO (CRD42024513858). It focused on diagnostic test accuracy using the Munn et al. protocol for systematic assessment, emphasizing the “PIRD”: Population, Index Test, Reference Test, Diagnosis of Interest.… More >

  • Open Access

    REVIEW

    The Impact of Exercise during Pregnancy on Maternal and Offspring Outcomes in Gestational Diabetes Mellitus

    Sha Chen1,#, Minkai Cao1,#, Kerong Liu2,*, Ying Gu1,*

    BIOCELL, Vol.49, No.2, pp. 181-198, 2025, DOI:10.32604/biocell.2025.058745 - 28 February 2025

    Abstract The increasing prevalence of gestational diabetes mellitus (GDM) is associated with an array of pregnancy complications and enduring health challenges in both mothers and their offspring. Studies have indicated that exposure to the intrauterine environment can prompt adaptations in the offspring, thereby programming transgenerational inheritance. Physical activity during pregnancy, as a non-pharmacological intervention, mitigates metabolic risks through epigenetic modifications, mediating placental adaptations, the action of exercise factors, and gut microbiota. Here, we provide a review summarizing how regular exercise can reduce the risk of GDM and positively influence pregnancy outcomes. It also discusses the exercise-induced More >

  • Open Access

    ARTICLE

    Effects of Exendin-4 on diabetic wounds: Direct action on proliferative phase of wound healing

    VIRGINIA LOTTI1, GAETANO DE SIENA2, STEFANO BACCI3,*

    BIOCELL, Vol.48, No.12, pp. 1751-1759, 2024, DOI:10.32604/biocell.2024.057904 - 30 December 2024

    Abstract Background: Impaired wound healing is one of the most well-known complications of type 2 diabetes mellitus. Experimental evidence suggested that treatment with Exendin-4, a glucagon-like peptide-1 agonist displaying a wide range of antidiabetic effects, can promote tissue regeneration. Objectives: Thus, this study aimed to examine the efficacy of topical treatment with Exendin-4 in accelerating wound healing in normoglycemic and hyperglycemic mice. Methods: For this purpose, two wounds inflicted on the back skin of 12 normo- and 12 hyperglycemic mice were injected intradermally with either saline solution or Exendin-4. Wounds were collected at the time of abrasion… More >

  • 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

    Three New Hydroxytetradecenals from Amomum tsao-ko with Protein Tyrosine Phosphatase 1B and Glycogen Phosphorylase Inhibitory Activity

    Xiaolu Qin1,3, Xinyu Li1,3, Yi Yang2, Mei Huang2, Shengli Wu1, Pianchou Gongpan1, Lianzhang Wu2, Juncai He2, Changan Geng1,3,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.5, pp. 875-883, 2024, DOI:10.32604/phyton.2024.048192 - 28 May 2024

    Abstract The fruits of Amomum tsao-ko (Cao-Guo) were documented in Chinese Pharmacopoeia for the treatment of abdominal pain, vomiting, and plague. In our previous study, a series of diarylheptanes and flavonoids with α-glucosidase and protein tyrosine phosphatase 1B (PTP1B) inhibitory activity have been reported from the middle-polarity part of A. tsao-ko, whereas the antidiabetic potency of the low-polarity constituents is still unclear. In this study, three new hydroxytetradecenals, (2E, 4E, 8Z, 11Z)-6R-hydroxytetradeca-2,4,8,11-tetraenal (1), (2E, 4E, 8Z)-6R-hydroxytetradeca-2,4,8-trienal (2) and (2E, 4E)-6R-hydroxytetradeca-2,4-dienal (3) were obtained from the volatile oils of A. tsao-ko. The structures of compounds 1–3 were determined using spectroscopic data involving 1D and 2D nuclear magnetic More >

  • Open Access

    ARTICLE

    The potency of N, N'-diphenyl-1,4-phenylenediamine and adipose-derived stem cell co-administration in alleviating hepatorenal dysfunction complications associated with type 1 diabetes mellitus in rats

    HANY M. ABD EL-LATEEF1,2,*, SAFA H. QAHL3, EMAN FAYAD4, SARAH A. ALTALHI4, IBRAHIM JAFRI4, EL SHAIMAA SHABANA5, MARWA K. DARWISH6,7, REHAB MAHER8, SAAD SHAABAN1,9, SHADY G. EL-SAWAH10,*

    BIOCELL, Vol.47, No.8, pp. 1885-1895, 2023, DOI:10.32604/biocell.2023.030680 - 28 August 2023

    Abstract Background: The increasing occurrence of diabetes mellitus (DM) noted worldwide has considerably elicited concern in the recent past. DM is associated with elevated vascular complications, morbidity, mortality, and poor quality of life. In this context, mesenchymal stem cells (MSCs) have shown significant therapeutic potentialities in managing and curing type 1 DM owing to their self-renewable, immunosuppressive, and differentiation capacities. We investigated the potential action of N, N′-diphenyl-1,4-phenylenediamine (DPPD), a well-known synthetic antioxidant to enhance the therapeutic ability of the adipose-derived stem cells (AD-MSCs) in alleviating kidney and liver complications in diabetic rats. Methods: Over the… More > Graphic Abstract

    The potency of <i>N</i>, <i>N'</i>-diphenyl-1,4-phenylenediamine and adipose-derived stem cell co-administration in alleviating hepatorenal dysfunction complications associated with type 1 diabetes mellitus in rats

  • Open Access

    ARTICLE

    Multi Head Deep Neural Network Prediction Methodology for High-Risk Cardiovascular Disease on Diabetes Mellitus

    B. Ramesh, Kuruva Lakshmanna*

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2513-2528, 2023, DOI:10.32604/cmes.2023.028944 - 03 August 2023

    Abstract Major chronic diseases such as Cardiovascular Disease (CVD), diabetes, and cancer impose a significant burden on people and healthcare systems around the globe. Recently, Deep Learning (DL) has shown great potential for the development of intelligent mobile Health (mHealth) interventions for chronic diseases that could revolutionize the delivery of health care anytime, anywhere. The aim of this study is to present a systematic review of studies that have used DL based on mHealth data for the diagnosis, prognosis, management, and treatment of major chronic diseases and advance our understanding of the progress made in this… More > Graphic Abstract

    Multi Head Deep Neural Network Prediction Methodology for High-Risk Cardiovascular Disease on Diabetes Mellitus

  • Open Access

    ARTICLE

    Type 2 Diabetes Risk Prediction Using Deep Convolutional Neural Network Based-Bayesian Optimization

    Alawi Alqushaibi1,2,*, Mohd Hilmi Hasan1,2, Said Jadid Abdulkadir1,2, Amgad Muneer1,2, Mohammed Gamal1,2, Qasem Al-Tashi3, Shakirah Mohd Taib1,2, Hitham Alhussian1,2

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3223-3238, 2023, DOI:10.32604/cmc.2023.035655 - 31 March 2023

    Abstract Diabetes mellitus is a long-term condition characterized by hyperglycemia. It could lead to plenty of difficulties. According to rising morbidity in recent years, the world’s diabetic patients will exceed 642 million by 2040, implying that one out of every ten persons will be diabetic. There is no doubt that this startling figure requires immediate attention from industry and academia to promote innovation and growth in diabetes risk prediction to save individuals’ lives. Due to its rapid development, deep learning (DL) was used to predict numerous diseases. However, DL methods still suffer from their limited prediction… 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

    Chi-Square and PCA Based Feature Selection for Diabetes Detection with Ensemble Classifier

    Vaibhav Rupapara1, Furqan Rustam2, Abid Ishaq2, Ernesto Lee3, Imran Ashraf4,*

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1931-1949, 2023, DOI:10.32604/iasc.2023.028257 - 05 January 2023

    Abstract Diabetes mellitus is a metabolic disease that is ranked among the top 10 causes of death by the world health organization. During the last few years, an alarming increase is observed worldwide with a 70% rise in the disease since 2000 and an 80% rise in male deaths. If untreated, it results in complications of many vital organs of the human body which may lead to fatality. Early detection of diabetes is a task of significant importance to start timely treatment. This study introduces a methodology for the classification of diabetic and normal people using… More >

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