Cargando…

Identification and analysis of cellular senescence-associated signatures in diabetic kidney disease by integrated bioinformatics analysis and machine learning

BACKGROUND: Diabetic kidney disease (DKD) is a common complication of diabetes that is clinically characterized by progressive albuminuria due to glomerular destruction. The etiology of DKD is multifactorial, and numerous studies have demonstrated that cellular senescence plays a significant role in...

Descripción completa

Detalles Bibliográficos
Autores principales:	Luo, Yuanyuan, Zhang, Lingxiao, Zhao, Tongfeng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Endocrinology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313062/ https://www.ncbi.nlm.nih.gov/pubmed/37396184 http://dx.doi.org/10.3389/fendo.2023.1193228

Ejemplares similares

Identification of glycolysis genes signature for predicting prognosis in malignant pleural mesothelioma by bioinformatics and machine learning
por: Xiao, Yingqi, et al.
Publicado: (2022)

Identification of biomarkers for the diagnosis of chronic kidney disease (CKD) with non-alcoholic fatty liver disease (NAFLD) by bioinformatics analysis and machine learning
por: Cao, Yang, et al.
Publicado: (2023)

Identification of Key Candidate Genes and Chemical Perturbagens in Diabetic Kidney Disease Using Integrated Bioinformatics Analysis
por: Gao, Zhuo, et al.
Publicado: (2021)

Identification of key immune genes of osteoporosis based on bioinformatics and machine learning
por: Hao, Song, et al.
Publicado: (2023)

Identification and analysis of novel endometriosis biomarkers via integrative bioinformatics
por: Bae, Sung-Jin, et al.
Publicado: (2022)

Identification of diagnostic signatures associated with immune infiltration in Alzheimer’s disease by integrating bioinformatic analysis and machine-learning strategies
por: Tian, Yu, et al.
Publicado: (2022)

Identification of endoplasmic reticulum stress-related biomarkers of diabetes nephropathy based on bioinformatics and machine learning
por: Su, Jiaming, et al.
Publicado: (2023)

Deciphering the endometrial immune landscape of RIF during the window of implantation from cellular senescence by integrated bioinformatics analysis and machine learning
por: Zhao, Xiaoxuan, et al.
Publicado: (2022)

Integrating single-cell analysis and machine learning to create glycosylation-based gene signature for prognostic prediction of uveal melanoma
por: Liu, Jianlan, et al.
Publicado: (2023)

Bioinformatic analysis reveals potential relationship between chondrocyte senescence and protein glycosylation in osteoarthritis pathogenesis
por: Yoshimoto, Makoto, et al.
Publicado: (2023)

Cellular Senescence and Regulated Cell Death of Tubular Epithelial Cells in Diabetic Kidney Disease
por: Shen, Shuang, et al.
Publicado: (2022)

Integrating multiple machine learning methods to construct glutamine metabolism-related signatures in lung adenocarcinoma
por: Zhang, Pengpeng, et al.
Publicado: (2023)

Bioinformatics analysis identifies immune-related gene signatures and subtypes in diabetic nephropathy
por: Lu, Kunna, et al.
Publicado: (2022)

Identification of Diagnostic Signatures and Immune Cell Infiltration Characteristics in Rheumatoid Arthritis by Integrating Bioinformatic Analysis and Machine-Learning Strategies
por: Yu, Rongguo, et al.
Publicado: (2021)

Bioinformatic Analysis and Machine Learning Methods in Neonatal Sepsis: Identification of Biomarkers and Immune Infiltration
por: Jiang, Zhou, et al.
Publicado: (2023)

Identification and validation of the diagnostic signature associated with immune microenvironment of acute kidney injury based on ferroptosis-related genes through integrated bioinformatics analysis and machine learning
por: Chen, Yalei, et al.
Publicado: (2023)

Integrated Bioinformatic Analysis of the Shared Molecular Mechanisms Between Osteoporosis and Atherosclerosis
por: Mo, Liang, et al.
Publicado: (2022)

Machine learning-based metabolism-related genes signature and immune infiltration landscape in diabetic nephropathy
por: Zhang, Huangjie, et al.
Publicado: (2022)

Cardiomyocyte Senescence and Cellular Communications Within Myocardial Microenvironments
por: Tang, Xiaoqiang, et al.
Publicado: (2020)

Cellular senescence in hepatocytes contributes to metabolic disturbances in NASH
por: Bonnet, Laurianne, et al.
Publicado: (2022)

The role of oxidative stress in intervertebral disc cellular senescence
por: Cheng, Fengqi, et al.
Publicado: (2022)

Identification of Shared Genes and Pathways in Periodontitis and Type 2 Diabetes by Bioinformatics Analysis
por: Kang, Junho, et al.
Publicado: (2022)

Identification of key genes in the pathogenesis of preeclampsia via bioinformatic analysis and experimental verification
por: Gao, Yongqi, et al.
Publicado: (2023)

Identification of key genes and pathways in adrenocortical carcinoma: evidence from bioinformatic analysis
por: Yin, Mengsha, et al.
Publicado: (2023)

Identification of diagnostic biomarkers in Alzheimer’s disease by integrated bioinformatic analysis and machine learning strategies
por: Jin, Boru, et al.
Publicado: (2023)

Cellular Senescence as the Pathogenic Hub of Diabetes-Related Wound Chronicity
por: Berlanga-Acosta, Jorge A., et al.
Publicado: (2020)

Cellular senescence of renal tubular epithelial cells in renal fibrosis
por: Zhang, Jun-Qing, et al.
Publicado: (2023)

Integrated bioinformatic analysis reveals immune molecular markers and potential drugs for diabetic cardiomyopathy
por: Guo, Qixin, et al.
Publicado: (2022)

Identification of Crucial Genes and Key Functions in Type 2 Diabetic Hearts by Bioinformatic Analysis
por: Huang, Xin, et al.
Publicado: (2022)

Identification of Key Pathways and Genes in Obesity Using Bioinformatics Analysis and Molecular Docking Studies
por: Joshi, Harish, et al.
Publicado: (2021)

Integrated bioinformatics and machine learning algorithms reveal the critical cellular senescence-associated genes and immune infiltration in heart failure due to ischemic cardiomyopathy
por: Guo, Ling, et al.
Publicado: (2023)

Identification of Potential Genes in Pathogenesis and Diagnostic Value Analysis of Partial Androgen Insensitivity Syndrome Using Bioinformatics Analysis
por: Peng, Yajie, et al.
Publicado: (2021)

Identification of Novel Key Molecular Signatures in the Pathogenesis of Experimental Diabetic Kidney Disease
por: Diao, Meng, et al.
Publicado: (2022)

Identification of potential gene signatures associated with osteosarcoma by integrated bioinformatics analysis
por: Jia, Yutao, et al.
Publicado: (2021)

Identification of Signature Genes of Dilated Cardiomyopathy Using Integrated Bioinformatics Analysis
por: Wu, Zhimin, et al.
Publicado: (2023)

A 9 mRNAs-based diagnostic signature for rheumatoid arthritis by integrating bioinformatic analysis and machine-learning
por: Liu, Jianyong, et al.
Publicado: (2021)

Emerging Insight Into the Role of Circadian Clock Gene BMAL1 in Cellular Senescence
por: Zhang, Wenqian, et al.
Publicado: (2022)

Investigate the genetic mechanisms of diabetic kidney disease complicated with inflammatory bowel disease through data mining and bioinformatic analysis
por: Zhang, Xiaoyu, et al.
Publicado: (2023)

Identification of immune-associated genes in diagnosing osteoarthritis with metabolic syndrome by integrated bioinformatics analysis and machine learning
por: Li, Junchen, et al.
Publicado: (2023)

Identification and validation of cuproptosis related genes and signature markers in bronchopulmonary dysplasia disease using bioinformatics analysis and machine learning
por: Jia, Mingxuan, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_a17oq0n3sbsb5ne99us20m8hru