Non-Coding RNAs in Parkinson's Disease: Regulating SNCA and Alpha-Synuclein Aggregation DOI
Lakshmi Thangavelu, Ehssan Moglad, Muhammad Afzal

et al.

Pathology - Research and Practice, Journal Year: 2024, Volume and Issue: 261, P. 155511 - 155511

Published: July 30, 2024

Language: Английский

Diabetes and diabetic associative diseases: An overview of epigenetic regulations of TUG1 DOI Creative Commons
Mohammed Ageeli Hakami

Saudi Journal of Biological Sciences, Journal Year: 2024, Volume and Issue: 31(5), P. 103976 - 103976

Published: March 11, 2024

The epigenetic regulation of lncRNA TUG1 has garnered significant attention in the context diabetes and its associated disorders. TUG1′s multifaceted roles gene expression modulation, cellular differentiation, it plays a major role growth issues that are related to due pathological processes. In diabetes, aberrant modifications can lead dysregulation expression, contributing disrupted insulin signaling, impaired glucose metabolism, beta-cell dysfunction. Moreover, been reported contributes development problems linked such as nephropathy, retinopathy, cardiovascular complications, through epigenetically mediated mechanisms. Understanding regulations offers novel insights into primary molecular mechanisms provides possible path for healing interventions. Targeting with holds promise restoring proper patterns, ameliorating sensitivity, mitigating inception diabetic associative diseases. This review highlights intricate landscape governs encompassing DNA methylation alterations histone structure, well microRNA interactions.

Language: Английский

Citations

2

A self-predictive diagnosis system of liver failure based on multilayer neural networks DOI Creative Commons
Fatemeh Dashti, Ali Ghaffari, Ali Seyfollahi

et al.

Multimedia Tools and Applications, Journal Year: 2024, Volume and Issue: 83(36), P. 83769 - 83788

Published: March 22, 2024

Abstract The lack of symptoms in the early stages liver disease may cause wrong diagnosis by many doctors and endanger health patients. Therefore, earlier more accurate problems is necessary for proper treatment prevention serious damage to this vital organ. We attempted develop an intelligent system detect failure using data mining artificial neural networks (ANN), approach considers all factors impacting patient identification enhances probability success diagnosing failure. employ multilayer perceptron via a dataset (ILDP). proposed backpropagation algorithm, improves rate, predicts intelligently. simulation analysis outputs revealed that method has 99.5% accuracy, 99.65% sensitivity, 99.57% specificity, making it than Previous related methods.

Language: Английский

Citations

2

Circular RNAs and the JAK/STAT pathway: New frontiers in cancer therapeutics DOI
Waleed Hassan Almalki, Salem Salman Almujri

Pathology - Research and Practice, Journal Year: 2024, Volume and Issue: 260, P. 155408 - 155408

Published: June 13, 2024

Language: Английский

Citations

2

Improving hemocompatibility in tissue-engineered products employing heparin-loaded nanoplatforms DOI Creative Commons
Nima Beheshtizadeh, Mahsa Mohammadzadeh, Mehrnaz Mostafavi

et al.

Pharmacological Research, Journal Year: 2024, Volume and Issue: 206, P. 107260 - 107260

Published: June 19, 2024

The enhancement of hemocompatibility through the use nanoplatforms loaded with heparin represents a highly desirable characteristic in context emerging tissue engineering applications. significance employing biological processes is unquestionable, owing to its ability interact diverse range proteins. It plays crucial role numerous by engaging interactions proteins and hydrogels. This review provides summary recent endeavors focused on augmenting methods utilization heparin. study also comprehensive various applications heparin-loaded nanofibers nanoparticles, as well techniques employed for encapsulating within these nanoplatforms. physical effects resulting from encapsulation are examined. potential heparin-based materials discussed, along future perspectives this field.

Language: Английский

Citations

2

Non-Coding RNAs in Parkinson's Disease: Regulating SNCA and Alpha-Synuclein Aggregation DOI
Lakshmi Thangavelu, Ehssan Moglad, Muhammad Afzal

et al.

Pathology - Research and Practice, Journal Year: 2024, Volume and Issue: 261, P. 155511 - 155511

Published: July 30, 2024

Language: Английский

Citations

2