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  • 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

    REVIEW

    The signaling pathway in modulating bone metabolism after dental implant in diabetes

    XIAOMEI HAN#, SHUYING ZHANG#, YIFU WANG, CHANGE QI, PENGNYU GUO, YALI XU, GUANGHUI LYU*

    BIOCELL, Vol.45, No.6, pp. 1509-1519, 2021, DOI:10.32604/biocell.2021.09506 - 01 September 2021

    Abstract Diabetes Mellitus is a systematic disease with complications in multi-organs, including decreased implant osseointegration and a high failure rate of dental transplants. Accumulating evidence indicates that the signaling pathway directly impacts the process of bone metabolism and inflammatory response implicated with dental implants in diabetic patients. This review summarizes the recent advance in signaling pathways regulate osseointegration and inflammatory response in dental transplantation, aiming to identify the potential therapeutic target to reduce the dental transplant failure in diabetes patients, with emphasis on the surface characteristics of the implant, inflammatory signaling, AMPK, PPARγ, WNT, ROS, and More >

  • Open Access

    ARTICLE

    Investigation of the antioxidant defensive role of both AD-MSCs and BM-MSCs in modulating the alteration in the oxidative stress status in various STZ-diabetic rats’ tissues

    SHADY G. EL-SAWAH1,*, FAYEZ ALTHOBAITI2, ADIL ALDHAHRANI3, EMAN FAYAD2, MARWA A. ABDEL-DAYEM4, REHAB M. AMEN5, EL SHAIMAA SHABANA6, EHAB I. EL-HALLOUS7, HANAN M. RASHWAN1

    BIOCELL, Vol.45, No.6, pp. 1561-1568, 2021, DOI:10.32604/biocell.2021.016869 - 01 September 2021

    Abstract Diabetes mellitus (DM) could negatively affect patients’ health via inducing a lot of serious functional hazards in many tissues’ cells at molecular levels. Recently, many scientists had proposed stem cell therapy being an appropriate alternative treatment protocol for numerous health threatening issues including diabetes. Therefore, the current study was designed to investigate the antioxidant potentiality of two MSCs types in alleviating tissues’ oxidative stress dramatic elevation resulting as a consequence of Type 1 DM induction. In our 4 weeks study, animals were divided into four groups: control group, STZ-diabetic group (D), D+AD-MSCs group and D+BM-MSCs… More >

  • Open Access

    ARTICLE

    An Intelligent Gestational Diabetes Diagnosis Model Using Deep Stacked Autoencoder

    A. Sumathi1,*, S. Meganathan1, B. Vijila Ravisankar2

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3109-3126, 2021, DOI:10.32604/cmc.2021.017612 - 24 August 2021

    Abstract Gestational Diabetes Mellitus (GDM) is one of the commonly occurring diseases among women during pregnancy. Oral Glucose Tolerance Test (OGTT) is followed universally in the diagnosis of GDM diagnosis at early pregnancy which is costly and ineffective. So, there is a need to design an effective and automated GDM diagnosis and classification model. The recent developments in the field of Deep Learning (DL) are useful in diagnosing different diseases. In this view, the current research article presents a new outlier detection with deep-stacked Autoencoder (OD-DSAE) model for GDM diagnosis and classification. The goal of the… More >

  • Open Access

    ARTICLE

    Potential Antidiabetic and Anti-Genotoxic Activities of Silver Nanoparticles of Alkaloid Extract of Rhazya stricta in Rat Animal Model

    Mohammed Ali Ashehri*

    Phyton-International Journal of Experimental Botany, Vol.90, No.6, pp. 1749-1762, 2021, DOI:10.32604/phyton.2021.016290 - 28 June 2021

    Abstract In most of Arabian courtiers Rhazya stricta is extensively utilized in public medicine for several diseases treatment. In this study, crude alkaloid extract of R. stricta (CAERS) coated with silver nanoparticles (CAERS-AgNPs) as potential treatment against diabetes in DM animal model was evaluated. Swiss albino male rats (n = 80) were injected with STZ to induce Diabetes Mellitus type-2 (DM). DM-rats were injected different doses of CAERS or CAERS-nanoparticles (CAERS-NPs) for 2 months. The results exhibited that mRNA expression of insulin and insulin receptor was down-regulated, activity levels of antioxidant enzymes were decreased, generation of ROS mediated DNA adducts… More >

  • Open Access

    ARTICLE

    Cloud-Based Diabetes Decision Support System Using Machine Learning Fusion

    Shabib Aftab1,2, Saad Alanazi3, Munir Ahmad1, Muhammad Adnan Khan4,*, Areej Fatima5, Nouh Sabri Elmitwally3,6

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 1341-1357, 2021, DOI:10.32604/cmc.2021.016814 - 22 March 2021

    Abstract Diabetes mellitus, generally known as diabetes, is one of the most common diseases worldwide. It is a metabolic disease characterized by insulin deficiency, or glucose (blood sugar) levels that exceed 200 mg/dL (11.1 ml/L) for prolonged periods, and may lead to death if left uncontrolled by medication or insulin injections. Diabetes is categorized into two main types—type 1 and type 2—both of which feature glucose levels above “normal,” defined as 140 mg/dL. Diabetes is triggered by malfunction of the pancreas, which releases insulin, a natural hormone responsible for controlling glucose levels in blood cells. Diagnosis… More >

  • Open Access

    ARTICLE

    Diabetes Type 2: Poincaré Data Preprocessing for Quantum Machine Learning

    Daniel Sierra-Sosa1,*, Juan D. Arcila-Moreno2, Begonya Garcia-Zapirain3, Adel Elmaghraby1

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1849-1861, 2021, DOI:10.32604/cmc.2021.013196 - 05 February 2021

    Abstract Quantum Machine Learning (QML) techniques have been recently attracting massive interest. However reported applications usually employ synthetic or well-known datasets. One of these techniques based on using a hybrid approach combining quantum and classic devices is the Variational Quantum Classifier (VQC), which development seems promising. Albeit being largely studied, VQC implementations for “real-world” datasets are still challenging on Noisy Intermediate Scale Quantum devices (NISQ). In this paper we propose a preprocessing pipeline based on Stokes parameters for data mapping. This pipeline enhances the prediction rates when applying VQC techniques, improving the feasibility of solving classification More >

  • Open Access

    REVIEW

    Therapeutic Applications of Naringenin, a Flavanone Enriched in Citrus Fruits, for Disorders beyond Diabetes

    Jaswinder Kaur1, Manish Vyas2, Joginder Singh1, Ram Prasad3,*, Jeena Gupta1,*

    Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 795-803, 2020, DOI:10.32604/phyton.2020.09420 - 09 November 2020

    Abstract In recent years, there has been an increase in epidemiological studies to highlight the health benefits of plant secondary metabolites. Flavonoids (polyphenolic plant secondary metabolites) are recently emerging as an important source for the discovery of new drugs increasing their pharmaceuticals, nutraceutical and medicinal applications. Naringenin is a flavanone, enriched in citrus fruits, tomatoes, bergamot, etc. which has been evaluated extensively for managing diabetes. However, in addition to this, naringenin had been ascribed to various important biological activities like antioxidant, antiviral, anticancer, anti-inflammatory, antiestrogenic, etc. This article aims at highlighting the therapeutic value of naringenin More >

  • Open Access

    ARTICLE

    The Effect of Continued Training with Crocin on Apoptosis Markers in Liver Tissue of High Fat Diet Induced Diabetic Rats

    Zahra Alimanesh1, Zeynab Alimanesh1, Fatemeh Davari2, Saeedeh Shadmehri3, Mozhgan Ahmadi3, Seyed Ali Hosseini4, Sepideh Dolati5,*, Alemeh Hariri Far6

    Molecular & Cellular Biomechanics, Vol.17, No.4, pp. 155-163, 2020, DOI:10.32604/mcb.2020.011532 - 20 October 2020

    Abstract Diabetes mellitus (DM) disease can affect process of apoptosis by increasing oxidative stress, nevertheless exercise and crocin can improve apoptosis; therefore present study aimed to investigate the effect of continued training with crocin on apoptosis markers in liver tissue of diabetic rats. In this experimental study 32 diabetic rats based on fasting glucose divided into four groups of eight rats including: 1) sham, 2) training, 3) crocin, and 4) training with crocin also for investigate the effect of DM induction on apoptosis markers, eight healthy rats assigned in healthy control group. During eight weeks groups… More >

  • Open Access

    ARTICLE

    Piceatannol attenuates streptozotocin-induced type 1 diabetes in mice

    MENGSHU ZHAO1, PINGSHI GAO1, LIANG TAO1, JINGJING WEN1, LEI WANG1, YUGUO YI1, YUXIN CHEN2, JUNSONG WANG1, XI XU1, JIANFA ZHANG1, DAN WENG1,*

    BIOCELL, Vol.44, No.3, pp. 353-361, 2020, DOI:10.32604/biocell.2020.08955 - 22 September 2020

    Abstract As a natural analog of resveratrol, piceatannol (Pic) exhibits good antioxidant and anti-inflammatory activities in different disease models. However, the role of Pic in type 1 diabetes mouse model has not been reported yet. In this study, we investigated the in vivo effect of Pic in streptozotocin (STZ)-induced type 1 diabetic mice. Mice were injected with STZ to establish the type 1 diabetes mellitus (T1DM) model. After stable hyperglycemia was achieved, mice were then orally treated with Pic (40 mg/kg b.w., i.g.) for 30 days. The results indicated that Pic supplementation efficiently alleviated the typical symptoms… More >

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