Back

Characterization of secretory phospholipase A2 inhibitory activity in Tragia hispida as potential therapeutic agent for treatment of dengue

Hemalika, D.; Chandrika, U. G.; Abeysekera, A.; Samarakoon, S.; Wijewickrama, A.; Malavige, G. N.

2022-11-29 infectious diseases
10.1101/2022.11.28.22282815 medRxiv
Show abstract

BackgroundAs secretory phospholipase A2 (sPLA2) was shown to be elevated in patients who progress to severe dengue, it would be important to evaluate the usefulness of therapeutics that inhibit sPLA2 enzymes to prevent progression to severe dengue. ObjectivesTo explore the presence of sPLA2 inhibitors in plant extracts used in traditional medicine for treatment of fever in Sri Lanka. Study designAqueous and butanol extracts of Tragia hispida, Justicia adathoda and tubers of Cyperus rotundus were screened for the presence of potential sPLA2 inhibitors using a commercial assay measuring sPLA2 activity. ResultsBoth the aqueous (THA) and butanol extracts (THB) of Tragia hispida had sPLA2 inhibition levels comparable to the levels seen with the commercial sPLA2 inhibitor CAY10590. THB at concentrations of 0.1 {micro}g/{micro}L and 0.2 {micro}g/{micro}L, significantly reduced the sPLA2 activity (p<0.0001) in the sera of dengue patients and the inhibitory activity was significantly higher (p<0.0001) than of CAY10590. Thin layer chromatography of THB showed that it was likely to contain a mixture of flavonoid and phenolic compounds. HPLC displayed peaks at 3.207 min ({lambda}max 222 nm, 272 nm) and 7.972 min ({lambda}max 224 nm, 272 nm) were most likely to represent phenolics and that the peaks at 11.883 min ({lambda}max 276 nm, 366 nm) and 16.898 min ({lambda}max 254 nm, 370 nm) most likely to represent flavonoids. ConclusionsT. hispida aqueous and butanol soluble fraction had potent sPLA2 inhibitory activities, which should be further explored for their potential to be used for treatment of dengue.

Matching journals

The top 4 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.