Integrative bioinformatics analysis to decipher common pathogenic processes in type 2 diabetes mellitus and pancreatic cancer DOI Creative Commons
Faez Falah Alshehri

Journal of Taibah University for Science, Journal Year: 2024, Volume and Issue: 18(1)

Published: Dec. 4, 2024

Type 2 Diabetes Mellitus (T2DM) and pancreatic cancer (PC) are complex diseases with shared molecular mechanisms that not fully understood. This study used bioinformatics analysis to uncover transcriptional patterns central genes between T2DM PC, identifying 388 dysregulated genes. Functional annotation pathway highlighted involvement in immune responses pathways such as II diabetes mellitus the Rap1 signalling. Ten hub genes, including FN1, FCGR3A, CXCL10, CD86, CCL5, CRP, ITGB2, FCER1G, FCGR2B, CD48, were identified potential biomarkers. Machine learning classifiers, particularly Random Forest demonstrated highest accuracy classifying samples based on expression of these a key gene involved cell adhesion was further investigated using docking dynamics simulations analysis. provides insights into common underlying FN1 therapeutic target. These findings could potentially be future develop personalized treatments aimed at preventing occurrence both PC.

Language: Английский

Network pharmacology approach to unravel the neuroprotective potential of natural products: a narrative review DOI
Pankaj Kumar Singh, Maheshkumar R. Borkar, Gaurav Doshi

et al.

Molecular Diversity, Journal Year: 2025, Volume and Issue: unknown

Published: April 25, 2025

Language: Английский

Citations

0
System biology approach to identify the novel biomarkers in glioblastoma multiforme tumors by using computational analysis DOI Creative Commons
Safar M. Alqahtani, Ali Altharawi, Alhumaidi B. Alabbas

et al.

Frontiers in Pharmacology, Journal Year: 2024, Volume and Issue: 15

Published: May 22, 2024

Introduction: The most common primary brain tumor in adults is glioblastoma multiforme (GBM), accounting for 45.2% of all cases. characteristics GBM, a highly aggressive tumor, include rapid cell division and propensity necrosis. Regretfully, the prognosis extremely poor, with only 5.5% patients surviving after diagnosis. Methodology: To eradicate these kinds complicated diseases, significant focus placed on developing more effective drugs pinpointing precise pharmacological targets. Finding appropriate biomarkers drug discovery entails considering variety factors, including illness states, gene expression levels, interactions between proteins. Using statistical techniques like p-values false rates, we identified differentially expressed genes (DEGs) as first step our research identifying promising GBM. Of 132 genes, 13 showed upregulation, 29 unique downregulation. No statistically changes remaining were observed. Results: Matrix metallopeptidase 9 (MMP9) had greatest degree hub biomarker identification, followed by (periostin (POSTN) at 11 Hes family BHLH transcription factor 5 (HES5) 9. significance identification each initiation advancement was brought to light survival analysis. Many participate signaling networks function extracellular areas, demonstrated enrichment analysis.We also factors kinases that control proteins proteinprotein (PPIs) DEGs. Discussion: We discovered connected every biomarker. It an appealing therapeutic target inhibiting MMP9 involved Molecular docking investigations indicated chosen complexes (carmustine, lomustine, marimastat, temozolomide) high binding affinities −6.3, −7.4, −7.7, −8.7 kcal/mol, respectively, mean root-mean-square deviation (RMSD) value carmustine complex marimastat 4.2 Å 4.9 Å, lomustine temozolomide system average RMSD 1.2 1.6 respectively. Additionally, stability fluctuation (RMSF) analysis observed no structural conformational among atomic molecules. Thus, silico develop new way experimentalists lethal diseases future.

Language: Английский

Citations

1
Unraveling Cordia myxa’s anti-malarial potential: integrative insights from network pharmacology, molecular modeling, and machine learning DOI Creative Commons

Yufei Miao,

Wenkang Liu, Sarah Alsallameh

et al.

BMC Infectious Diseases, Journal Year: 2024, Volume and Issue: 24(1)

Published: Oct. 19, 2024

Malaria is a potentially fatal infective illness caused due to parasites that belong the Plasmodium genus, which are transferred humans with help of stings affected female Anopheles mosquitoes, and it persists as serious public wellness problem worldwide. Cordia myxa medicinal plant possesses various characteristics like antimicrobial, anti-inflammation, antioxidant, antidiabetic activities, makes an important natural resource for therapy different maladies in traditional medicine. In this investigation, certain network pharmacology method has been utilized identify potent active components, possible targets well signaling pathways present C. relation malaria therapy. The compounds were submitted molecular docking approaches validate their successful activity against potential targets. study concluded three constituents named cosmosiin, stigmastanol, robinetin, quercetin highly could regulate expression Interleukin 6 (IL6) Cysteine-aspartic acid protease 3 (CASP3), may act therapeutic target treatment. These analyses validated by dynamics simulation reflects on overall structural stability intermolecular conformation interactions. results can also be witnessed simulation-based trajectories binding free energies, significant role electrostatic van der Waals energies total Finally, we machine learning predict anti-malarial compounds, comparing them approved drugs. Using Chemprop model MAIP predictions, assessed ten revealing lead agents. This establishes groundwork comprehending function anti-malaria action myxa.

Language: Английский

Citations

1
Pathological role of RAGE underlying progression of various diseases: its potential as biomarker and therapeutic target DOI

Saswati Sarkar

Naunyn-Schmiedeberg s Archives of Pharmacology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 26, 2024

Language: Английский

Citations

1
Systems biology and molecular modeling assisted exploration of the underlying mechanism of Safflower ( Carthamus tinctorius L. ) in the treatment of hearing loss DOI
Safar M. Alqahtani

Journal of Biomolecular Structure and Dynamics, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: Dec. 1, 2024

Hearing loss is the incapability to hear sound, either partially or fully. One potential natural remedy for hearing use of

Language: Английский

Citations

0
Integrative bioinformatics analysis to decipher common pathogenic processes in type 2 diabetes mellitus and pancreatic cancer DOI Creative Commons
Faez Falah Alshehri

Journal of Taibah University for Science, Journal Year: 2024, Volume and Issue: 18(1)

Published: Dec. 4, 2024

Type 2 Diabetes Mellitus (T2DM) and pancreatic cancer (PC) are complex diseases with shared molecular mechanisms that not fully understood. This study used bioinformatics analysis to uncover transcriptional patterns central genes between T2DM PC, identifying 388 dysregulated genes. Functional annotation pathway highlighted involvement in immune responses pathways such as II diabetes mellitus the Rap1 signalling. Ten hub genes, including FN1, FCGR3A, CXCL10, CD86, CCL5, CRP, ITGB2, FCER1G, FCGR2B, CD48, were identified potential biomarkers. Machine learning classifiers, particularly Random Forest demonstrated highest accuracy classifying samples based on expression of these a key gene involved cell adhesion was further investigated using docking dynamics simulations analysis. provides insights into common underlying FN1 therapeutic target. These findings could potentially be future develop personalized treatments aimed at preventing occurrence both PC.

Language: Английский

Citations

0