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Article

Automatic Identification of Myeloperoxidase Natural Inhibitors in Plant Extracts

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LAQV, REQUIMTE, Laboratory of Applied Chemistry, Department of Chemical Sciences, Faculty of Pharmacy, Porto University, Rua Jorge Viterbo Ferreira, No. 228, 4050-313 Porto, Portugal
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Unidade de Investigação para o Desenvolvimento do Interior, Instituto Politécnico da Guarda, Avenida Dr. Francisco de Sá Carneiro, No 50, 6300-559 Guarda, Portugal
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Department of Chemical Engineering, Faculty of Science, Universidade de Vigo (Campus Ourense), As Lagoas, 32004 Ourense, Spain
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Authors to whom correspondence should be addressed.
Academic Editor: Paraskevas D. Tzanavaras
Molecules 2022, 27(6), 1825; https://doi.org/10.3390/molecules27061825
Received: 7 February 2022 / Revised: 8 March 2022 / Accepted: 9 March 2022 / Published: 11 March 2022
(This article belongs to the Section Analytical Chemistry)
The aim of this study is the development of an automated method for myeloperoxidase activity evaluation and its application in testing the inhibitory action of different plant extracts on the activity of the enzyme. This enzyme has its concentration increased in inflammatory and infectious processes, so it is a possible target to limit these processes. Therefore, an automatic sequential in-jection analysis (SIA) system was optimized and demonstrated that it is possible to obtain results with satisfactory accuracy and precision. With the developed method, plant extracts were studied, as promising candidates for MPO inhibition. In the group of selected plant extracts, IC50 values from 0.029 ± 0.002 mg/mL to 35.4 ± 3.5 mg/mL were obtained. Arbutus unedo L. proved to be the most inhibitory extract for MPO based on its phenolic compound content. The coupling of an automatic SIA method to MPO inhibition assays is a good alternative to other conventional methods, due to its simplicity and speed. This work also supports the pharmacological use of these species that inhibit MPO, and exhibit activity that may be related to the treatment of infection and inflammation. View Full-Text
Keywords: myeloperoxidase; infection and inflammation; enzyme inhibition; plant extracts drugs; automation; sequential injection myeloperoxidase; infection and inflammation; enzyme inhibition; plant extracts drugs; automation; sequential injection
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MDPI and ACS Style

Mota, F.A.R.; Pereira, S.A.P.; Araújo, A.R.T.S.; Gullón, B.; Passos, M.L.C.; Saraiva, M.L.M.F.S. Automatic Identification of Myeloperoxidase Natural Inhibitors in Plant Extracts. Molecules 2022, 27, 1825. https://doi.org/10.3390/molecules27061825

AMA Style

Mota FAR, Pereira SAP, Araújo ARTS, Gullón B, Passos MLC, Saraiva MLMFS. Automatic Identification of Myeloperoxidase Natural Inhibitors in Plant Extracts. Molecules. 2022; 27(6):1825. https://doi.org/10.3390/molecules27061825

Chicago/Turabian Style

Mota, Fátima A.R., Sarah A.P. Pereira, André R.T.S. Araújo, Beatriz Gullón, Marieta L.C. Passos, and Maria L.M.F.S. Saraiva. 2022. "Automatic Identification of Myeloperoxidase Natural Inhibitors in Plant Extracts" Molecules 27, no. 6: 1825. https://doi.org/10.3390/molecules27061825

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