A novel automated method based on sequential injection analysis (SIA), a non-segmented flow injection technique, was developed to evaluate glutathione S-transferase P1-1 (GST P1-1) activity in the presence of organometallic complexes with putative anticancer activity. The assay is based on the reaction of L-glutathione (GSH) and 1-chloro-2,4-dinitrobenzene (CDNB) in the presence of GST P1-1 to afford the GS-DNB conjugate and the reaction may be monitored by an increase in absorbance at 340 nm. A series of ruthenium, iron, osmium and iridium complexes were evaluated as GST P1-1 inhibitors by evaluating their half-maximal inhibitory concentration (IC50). An iridium compound displays the lowest IC50 value of 6.7 +/- 0.7 mu M and an iron compound displays the highest IC50 value of 275 +/- 9 mu M. The SIA method is simple to use, robust, reliable, and efficient and uses fewer reagents than batch methods and each analysis takes only 5 minutes.

Automated approach for the evaluation of glutathione-S-transferase P1-1 inhibition by organometallic anticancer compounds

Biancalana, Lorenzo;Marchetti, Fabio;
2022-01-01

Abstract

A novel automated method based on sequential injection analysis (SIA), a non-segmented flow injection technique, was developed to evaluate glutathione S-transferase P1-1 (GST P1-1) activity in the presence of organometallic complexes with putative anticancer activity. The assay is based on the reaction of L-glutathione (GSH) and 1-chloro-2,4-dinitrobenzene (CDNB) in the presence of GST P1-1 to afford the GS-DNB conjugate and the reaction may be monitored by an increase in absorbance at 340 nm. A series of ruthenium, iron, osmium and iridium complexes were evaluated as GST P1-1 inhibitors by evaluating their half-maximal inhibitory concentration (IC50). An iridium compound displays the lowest IC50 value of 6.7 +/- 0.7 mu M and an iron compound displays the highest IC50 value of 275 +/- 9 mu M. The SIA method is simple to use, robust, reliable, and efficient and uses fewer reagents than batch methods and each analysis takes only 5 minutes.
2022
Pereira, Sarah A P; Baptista L, A Catarina; Biancalana, Lorenzo; Marchetti, Fabio; Dyson, Paul J; Saraiva, M Lúcia M F S
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1150062
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