Dr. Mona Shujaa Alharbi

Dr. Dr. Mona Shujaa Alharbi

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Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 August 2026 in Inorganics
Verified
Journal Article
Open access
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AAAbeer M. M. Al-Dbass
Abeer M. M. Al-Dbass
SASooad K AlDaihan
Sooad K AlDaihan
DADr. Mona Shujaa Alharbi
Dr. Mona Shujaa Alharbi
RBRamesa Shafi Bhat
Ramesa Shafi Bhat
Antimicrobial resistance and the limitations of conventional antimicrobial therapies have intensified the search for multifunctional nanoscale agents. Plant flowers are effective and sustainable biological materials for the eco-friendly synthesis of stable nanoparticles. In this study, Ocimum basilicum flower (OBF) extracts were used for the synthesis of silver nanoparticles (OBF-AgNPs) and evaluated for antimicrobial and antibiofilm activities. Characterization by UV–Vis spectroscopy, FTIR, SEM, TEM, EDX, DLS, and zeta-potential analysis revealed an absorption maximum at 440 nm and predominantly spherical particles measuring 5–38 nm. The hydrodynamic diameter was 53.84 nm, with a PDI of 0.4123 and a zeta potential of −23.47 mV. OBF-AgNPs showed greater antimicrobial activity than the crude extract and AgNO3, with MIC and MBC values of 97–194 and 388–776 µg/mL, respectively. Biofilm formation was inhibited against S. aureus, P. aeruginosa, and C. tropicalis in a concentration-dependent manner. Eight GC–MS-identified phytochemicals were separately examined through network pharmacology. Of 124 predicted targets, 34 overlapped with microbial-infection-related genes, and enrichment analysis highlighted inflammatory and immune-response pathways. Molecular docking against the network-derived host-target PTGS2 showed moderate predicted interactions compared with reference inhibitors, with τ-cadinol showing the lowest docking score of −7.7 kcal/mol among the tested phytochemicals. Overall, the synthesized OBF-AgNPs demonstrated antimicrobial and antibiofilm activities. The in silico analyses independently identified host-response-related computational insights from GC–MS-identified flower constituents.

Verified
Journal Article
Open access
PDF file
AAAbdullah Mohamed Abdullah
Abdullah Mohamed Abdullah
AAAlaa Alnoor Alnoor Alameen
Alaa Alnoor Alnoor Alameen
NANouf AlAfaleq
Nouf AlAfaleq
DADr. Mona Shujaa Alharbi
Dr. Mona Shujaa Alharbi
Withaferin A (WA), a bioactive steroidal lactone derived from Withania somnifera, has been reported to exhibit diverse pharmacological activities, including anti-inflammatory and metabolic regulatory effects. Although previous studies suggest a potential link between WA and thyroid-related molecular pathways, the molecular mechanisms underlying these effects remain incompletely understood. Here, we employed a comprehensive computational approach to explore WA-responsive molecular changes potentially relevant to thyroid-associated processes. RNA-sequencing data from WA-treated MCF-10A human mammary epithelial cells (GSE158085) were analysed to identify differentially expressed genes (DEGs). Because thyroid-specific WA transcriptomic datasets are not currently available, the DEGs were intersected with curated hypothyroidism-associated genes to generate a cross-tissue, exploratory set of candidate genes. The genes that overlapped were used to construct protein–protein interaction networks, prioritize high-centrality candidate genes, and conduct enrichment analyses for transcription factors and kinases. Further analysis of selected upstream kinases was performed using molecular docking and molecular dynamics simulations with WA. A total of 1458 differentially expressed genes (DEGs) were identified, 10 of which overlapped with hypothyroidism-associated genes. Network analysis identified candidate interactions among the overlapping genes, while higher-confidence analysis retained four connected genes (PTPN22, STAT4, DUOX2, and DUOXA2). Transcription factor enrichment identified ERG, SUZ12, NANOG, TCF3, RUNX1, and TP63 as potential upstream regulators, while kinase enrichment identified candidate upstream kinases associated with the predicted regulatory network. Based on enrichment evidence, structural availability, and literature-supported biological relevance, MAPK14 (p38α), AKT1, and MAPK8 (JNK1) were selected for molecular docking and molecular dynamics simulations. Structural analyses suggested potential interactions between WA and the selected kinases, with target-specific dynamic behaviour across the simulated systems. Collectively, the findings highlight WA-responsive genes and predicted gene–TF–kinase relationships that may be relevant to thyroid-associated molecular processes. However, these associations are hypothesis-generating and provide a basis for further investigation in thyroid-derived experimental models.