The natural compound furfural, obtained from biomass, has been investigated for its antimicrobial properties. However, its comparative antimicrobial, antibiofilm, and antibiotic-modulating activities across different bacterial species have not yet been explored. This research focused on the antimicrobial and antibiofilm effects of furfural against
Acinetobacter baylyi, Pseudomonas fluorescens, and Staphylococcus epidermidis
. The antibacterial activity of furfural was quantified through a broth microdilution assay, whereas antibiofilm activity was determined using the crystal violet assay. The interaction between furfural and gentamicin was evaluated by checkerboard microdilution. Furfural exhibited concentration-dependent antibacterial and antibiofilm activity across all tested microorganisms. The Minimum inhibitory concentration (MIC) of furfural was 1000 µg/mL for all three bacteria. The Minimum biofilm inhibition concentration (MBIC) was 1000 µg/mL for
A. baylyi
and
P. fluorescens
, whereas the MBIC for
S. epidermidis
was 2500 µg/mL. The MIC of gentamicin was 125 µg/mL against
A. baylyi
and 62.5 µg/mL against
S. epidermidis and P. fluorescens
. Combination analysis showed synergy against
P. fluorescens
(FICI = 0.5), an additive effect against
A. baylyi
(FICI = 1.0), and
S. epidermidis
(FICI = 0.75). These findings indicate that furfural exhibits antimicrobial, antibiofilm activities and species-dependent interactions with gentamicin, providing a basis for further evaluation against clinically relevant pathogens.
K. Rawat, R. Gabrani· BIO Web of Conferences· 0 citations
Triple-Negative Breast Cancer (TNBC) is one of the most aggressive and heterogeneous subtypes of breast cancer, characterized by poor prognosis and often develops resistance to conventional therapy. The current study employs an integrative in silico approach to identify and evaluate the potential of phytocompounds to target genes or proteins associated with drug resistance in TNBC. This work uses high-throughput sequencing expression profiling datasets from the NCBI Gene Expression Omnibus (GEO) database to identify differentially expressed genes. Protein-protein interaction network analyses were employed further to understand the interconnectivity of these genes, ultimately narrowing down potential druggable targets (CDK1, MAOA, DHFR, TYMS). Selected phytochemicals were screened against identified target proteins using pharmacokinetic profiling (ADMET) and molecular docking. Our findings suggest that kirenol, artesunate, apigenin, daidzein, and sclareol have the potential to target specific genes involved in chemoresistance in TNBC and can serve as therapeutic options against drug-resistant TNBC.
Ritu Raj, S. Dang, R. Gabrani· Medicinal Plants - Internati...· 0 citations
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