Back

Biogenic flavonoid capping converts a cytotoxic Carica papaya fraction into a selective, cross-serotype Dengue entry inhibitor

Dhandapani, M. K.; Bharath, R. R.; Palanisamy, G.; Venkatasubbu, G. D.; Bhatt, T.

2026-09-30 microbiology
10.64898/2026.09.26.754612 bioRxiv
Show abstract

Plant-derived flavonoids show measurable anti-dengue activity in cell culture, but their translational value is limited by a narrow therapeutic window: the concentrations that inhibit the virus approach or exceed those that are cytotoxic. Whether nanoparticle formulation can resolve this constraint, rather than simply add potency, remains untested for a chemically defined fraction. Here we show that biogenic silver nanoparticle (AgNP) formation using a flavonoid-enriched fraction of Carica papaya inverts an unusable selectivity profile into a viable one. The unformulated fraction was cytotoxic below the concentrations required for antiviral activity: its 50% cytotoxic concentration (CC50 = 134.9 ug/mL) lay below its 50% effective concentration against dengue virus serotype 2 (DENV-2; EC50 = 254.4 ug/mL), giving a Selectivity Index (SI) of 0.53. Using the same flavonoids as sole reducing and capping agents produced AgNPs (Z-average 128.4 nm; PDI 0.232; zeta potential -28.4 mV) that moved both parameters simultaneously. CC50 rose approximately 8.6-fold to 1,165.74 ug/mL while EC50 fell approximately 8.8-fold to 29.05 ug/mL, raising the SI to 40.12, an approximately 75-fold shift. Time-of-addition analysis localised the effect to the extracellular phase: inhibition was significant under pre-treatment and co-treatment but not after viral adsorption, identifying the AgNPs as entry inhibitors rather than replication inhibitors. Consistent with a serotype-independent physical mechanism, AgNP treatment at 30 ug/mL reduced viral RNA across all four serotypes, using inocula standardised against WHO-traceable NAAT reference reagents. These findings identify capping chemistry, rather than silver content alone, as a determinant of the therapeutic window in phytosynthesised nanoantivirals.

Matching journals

The top 21 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.