Berberine’s Impact on Apoptosis, Proliferation, Uptake Efficiency, and Nanoparticle-Based Therapy in DBTRG Cells

ACS Nanoscience Au, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

Language: Английский

In Silico Analysis Highlights Potential Predictive Indicators Associated with Secondary Progressive Multiple Sclerosis

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(6), P. 3374 - 3374

Published: March 16, 2024

Multiple sclerosis (MS) is a complex inflammatory disease affecting the central nervous system. Most commonly, it begins with recurrent symptoms followed by partial or complete recovery, known as relapsing–remitting MS (RRMS). Over time, many RRMS patients progress to secondary progressive (SPMS), marked gradual symptom deterioration. The factors triggering this transition remain unknown, lacking predictive biomarkers. This study aims identify blood biomarkers specific SPMS. We analyzed six datasets of SPMS and patients’ brain tissues, compared differential expressed genes (DEGs) obtained highlight DEGs reflecting alterations occurring in both tissues potential biological processes involved. observed total 38 up-regulated their interaction network was evaluated through analysis. Among aforementioned DEGs, 21 may be directly involved transition. Further, we highlighted three processes, including calcineurin–NFAT pathway, related investigated serve promising means monitor from SPMS, which still elusive. Given that they can also sourced samples, approach could offer relatively rapid convenient method for monitoring facilitating expedited assessments.

Language: Английский

Genomics-based tools for drug discovery and development: From network maps to efficacy prediction

Journal of Holistic Integrative Pharmacy, Journal Year: 2023, Volume and Issue: 4(3), P. 199 - 209

Published: Nov. 1, 2023

Computing technology plays a crucial role in the field of drug discovery and development. With rapid development genomics improvement databases, application genomics-based tools is important These can deeply explore information gene expression profile revealing connections interactions between drugs, diseases genes, providing strong support for This paper introduces various significant development, discusses advantages deep learning artificial intelligence utilizing large-scale genomic data, reveals trends future prospects tools. The continuous progress these will provide more accurate efficient

Language: Английский