BIN LI^1,2,3,#, YUCHENG SHENG^4,#, XIAOYING XU⁴, SHENGCUN WANG³, HONGYAN SONG³, JINGYUAN LI³, HAONAN JI¹, QINGHUA WANG³, XIAODI ZHOU^1,*, LONGJU QI^2,*

BIOCELL, Vol.48, No.4, pp. 601-611, 2024, DOI:10.32604/biocell.2024.047404

Abstract Objective: Chronic kidney disease (CKD) is a progressive disorder characterized by intricate structural and functional alterations in the kidneys, attributable to diverse causative factors. Notably, the therapeutic promise of miR-145-5p in addressing renal pathologies has been discerned. This investigation seeks to elucidate the functional role of miR-145-5p in injured kidneys by subjecting human glomerular mesangial cells (HGMCs) to stimulation with Angiotensin II (AngII). Materials and Methods: Cellular viability and the levels of inflammatory mediators were evaluated utilizing Cell Counting Kit-8 (CCK-8), quantitative real-time polymerase chain reaction (qRT-PCR), and western blot methodologies, both in the presence of AngII incubation and in… More >

KUNLUN LI¹, DANDAN LI², BARBOD HAFEZ^3,*, MOUNIR M. SALEM BEKHIT⁴, YOUSEF A. BIN JARDAN⁴, FARS KAED ALANAZI⁴, EHAB I. TAHA⁴, SAYED H. AUDA⁴, FAIQAH RAMZAN^5,*, MUHAMMAD JAMIL⁶

Oncology Research, Vol.32, No.4, pp. 737-752, 2024, DOI:10.32604/or.2023.042925

Abstract Kidney Renal Clear Cell Carcinoma (KIRC) is a malignant tumor that carries a substantial risk of morbidity and mortality. The MMP family assumes a crucial role in tumor invasion and metastasis. This study aimed to uncover the mechanistic relevance of the MMP gene family as a therapeutic target and diagnostic biomarker in Kidney Renal Clear Cell Carcinoma (KIRC) through a comprehensive approach encompassing both computational and molecular analyses. STRING, Cytoscape, UALCAN, GEPIA, OncoDB, HPA, cBioPortal, GSEA, TIMER, ENCORI, DrugBank, targeted bisulfite sequencing (bisulfite-seq), conventional PCR, Sanger sequencing, and RT-qPCR based analyses were used in the present study to analyze MMP… More >

Nazik Alturki¹, Abdulaziz Altamimi², Muhammad Umer^3,*, Oumaima Saidani¹, Amal Alshardan¹, Shtwai Alsubai⁴, Marwan Omar⁵, Imran Ashraf^6,*

CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 3513-3534, 2024, DOI:10.32604/cmes.2023.045868

Abstract Chronic kidney disease (CKD) is a major health concern today, requiring early and accurate diagnosis. Machine learning has emerged as a powerful tool for disease detection, and medical professionals are increasingly using ML classifier algorithms to identify CKD early. This study explores the application of advanced machine learning techniques on a CKD dataset obtained from the University of California, UC Irvine Machine Learning repository. The research introduces TrioNet, an ensemble model combining extreme gradient boosting, random forest, and extra tree classifier, which excels in providing highly accurate predictions for CKD. Furthermore, K nearest neighbor (KNN) imputer is utilized to deal… More >

JIECHUAN QIU¹, TIANMIN YANG¹, YANNING SUN², KAI SUN², YINGKUN XU³, QINGHUA XIA^1,*

Oncology Research, Vol.32, No.3, pp. 545-561, 2024, DOI:10.32604/or.2023.030462

Abstract This research aims to identify the key fatty acid beta-oxidation (FAO) genes that are altered in kidney renal clear cell carcinoma (KIRC) and to analyze the role of these genes in KIRC. The Gene Expression Omnibus (GEO) and FAO datasets were used to identify these key genes. Wilcoxon rank sum test was used to assess the levels of acyl-CoA dehydrogenase medium chain (ACADM) between KIRC and non-cancer samples. The logistic regression and Wilcoxon rank sum test were used to explore the association between ACADM and clinical features. The diagnostic performance of ACADM for KIRC was assessed using a diagnostic receiver… More >

MUNEEBA MALIK¹, MAMOONA MAQBOOL², TOOBA NISAR³, TAZEEM AKHTER⁴, JAVED AHMED UJAN^5,6, ALANOOD S. ALGARNI⁷, FAKHRIA A. AL JOUFI⁸, SULTAN SHAFI K. ALANAZI⁹, MOHAMMAD HADI ALMOTARED¹⁰, MOUNIR M. SALEM BEKHIT¹¹, MUHAMMAD JAMIL^12,*

Oncology Research, Vol.31, No.6, pp. 899-916, 2023, DOI:10.32604/or.2023.030760

Abstract The low survival rate of Kidney renal clear cell carcinoma (KIRC) patients is largely attributed to cisplatin resistance. Rather than focusing solely on individual proteins, exploring protein-protein interactions could offer greater insight into drug resistance. To this end, a series of in silico and in vitro experiments were conducted to identify hub genes in the intricate network of cisplatin resistance-related genes in KIRC chemotherapy. The genes involved in cisplatin resistance across KIRC were retrieved from the National Center for Biotechnology Information (NCBI) database using search terms as “Kidney renal clear cell carcinoma” and “Cisplatin resistance”. The genes retrieved were analyzed… More >

Dongyun Bie^1,#, Hongbai Wang^1,#, Chaobin Zhang², Chunrong Wang³, Yuan Jia¹, Su Yuan¹, Sheng Shi¹, Jiangshan Huang¹, Jianhui Wang^1,*, Fuxia Yan^1,*

Congenital Heart Disease, Vol.18, No.4, pp. 475-488, 2023, DOI:10.32604/chd.2023.028017

Abstract Purpose: This study sought to explore the effect of intraoperative mean blood glucose levels and variability on postoperative acute kidney injury (AKI) in children undergoing congenital cardiac surgery. Methods: We conducted a prospective nested case-control study in children (age < 18 years) undergoing congenital heart surgery with cardiopulmonary bypass (CPB) at the Fuwai Hospital between April 01, 2022 and July 30, 2022. Cases were individuals who developed AKI within the first postoperative 7 days (AKI group) and controls were those without AKI (Non-AKI group) according to KDIGO criteria. AKI and Non-AKI groups unmatched and 1:1 matched by age, sex, and baseline serum… More > Graphic Abstract

Ali Altalbe^1,2,*, Abdul Rehman Javed³

Computer Systems Science and Engineering, Vol.47, No.2, pp. 2119-2134, 2023, DOI:10.32604/csse.2023.040620

Abstract Kidney infection is a severe medical issue affecting individuals worldwide and increasing mortality rates. Chronic Kidney Disease (CKD) is treatable during its initial phases but can become irreversible and cause renal failure. Among the various diseases, the most prevalent kidney conditions affecting kidney function are cyst growth, kidney tumors, and nephrolithiasis. The significant challenge for the medical community is the immediate diagnosis and treatment of kidney disease. Kidney failure could result from kidney disorders like tumors, stones, and cysts if not often identified and addressed. Computer-assisted diagnostics are necessary to support clinicians’ and specialists’ medical assessments due to the rising… More >

GIULIA CHIABOTTO^1,*, STEFANIA BRUNO^2,*

BIOCELL, Vol.47, No.7, pp. 1499-1508, 2023, DOI:10.32604/biocell.2023.028121

Abstract Renal fibrosis and inflammation are common pathological features of chronic kidney disease (CKD). Since currently available treatments can only delay the progression of CKD, the outcome of patients with CKD is still poor. One therapeutic option for the prevention of CKD-related complications could be the use of mesenchymal stromal cells (MSCs), which have shown beneficial effects in tissue fibrosis and regeneration after damage. However, safety issues, such as cellular rejection and carcinogenicity, limit their clinical application. Among the bioactive factors secreted by MSCs, extracellular vesicles (EVs) have shown the same beneficial effect of MSCs, without any notable side effects. This… More > Graphic Abstract

Sultan Mesfer Aldossary^*

Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3387-3404, 2023, DOI:10.32604/iasc.2023.035249

Abstract With the emergence of cloud technologies, the services of healthcare systems have grown. Simultaneously, machine learning systems have become important tools for developing matured and decision-making computer applications. Both cloud computing and machine learning technologies have contributed significantly to the success of healthcare services. However, in some areas, these technologies are needed to provide and decide the next course of action for patients suffering from diabetic kidney disease (DKD) while ensuring privacy preservation of the medical data. To address the cloud data privacy problem, we proposed a DKD prediction module in a framework using cloud computing services and a data… More >

S. Devi Mahalakshmi^*

Computer Systems Science and Engineering, Vol.44, No.2, pp. 1387-1395, 2023, DOI:10.32604/csse.2023.027610

Abstract The kidney is an important organ of humans to purify the blood. The healthy function of the kidney is always essential to balance the salt, potassium and pH levels in the blood. Recently, the failure of kidneys happens easily to human beings due to their lifestyle, eating habits and diabetes diseases. Early prediction of kidney stones is compulsory for timely treatment. Image processing-based diagnosis approaches provide a greater success rate than other detection approaches. In this work, proposed a kidney stone classification method based on optimized Transfer Learning(TL). The Deep Convolutional Neural Network (DCNN) models of DenseNet169, MobileNetv2 and GoogleNet… More >