J. Pharm. Pharmacogn. Res., vol. 10, no. 4, pp. 725-736, July-August 2022.
DOI: https://doi.org/10.56499/jppres22.1408_10.4.725
Original Article
Anti-inflammatory and antioxidant potential of Syzygium polyanthum (Wight) Walp. bioactive compounds in polycystic ovary syndrome: An in silico study
[Potencial anti-inflamatorio y antioxidante de compuestos bioactivos de Syzygium polyanthum (Wight) Walp. en el síndrome de ovario poliquístico: Un estudio in silico]
Renny Aditya1,4, Budi Santoso2*, Widjiati Widjiati3
1Doctoral Program of Medical Science, Faculty of Medicine, University of Airlangga, Surabaya, Indonesia.
2Department of Obstetrics and Gynecology, Faculty of Medicine, University of Airlangga, Surabaya, Indonesia.
3Department of Veterinary Anatomy, Faculty of Veterinary Medicine, University of Airlangga, Surabaya, Indonesia.
4Department of Obstetrics and Gynecology, Faculty of Medicine, Universitas Lambung Mangkurat, Banjarmasin, Indonesia.
*E-mail: budi.santoso@fk.unair.ac.id
Abstract
Context: Polycystic ovary syndrome (PCOS) is significantly associated with inflammation and oxidative stress. Syzygium polyanthum is a plant rich in pharmacological properties. Aims: To evaluate the anti-inflammation and antioxidant potential of S. polyanthum bioactive compounds using in silico approach.
Methods: The S. polyanthum was extracted using the ultrasound-assisted extraction (UAE) method, and the bioactive compounds were screened using Liquid Chromatography–High Resolution Mass Spectrometry (LC-HRMS) analysis. This study predicted the biological activity of S. polyanthum compounds using PASS Online server. Before docking, we analyzed the protein-protein interactions (PPIs) network of TNFα, NF-kB, SOD, and KEAP1. The molecular docking was done using Autodock Vina in PyRx software and visualized using Discovery Studio. Probability to be active (Pa) was determined.
Results: The bioactive compounds found in S. polyanthum and used in this study were deoxyphomalone, NCGC00169066-01, and phloretin with retention times [min] of 0.886, 0.907, and 8.323, respectively. The predicted biological activity of compounds and controls were anti-inflammatory, immunosuppressant, TNF expression inhibitor, immunomodulatory and HIF1α expression inhibitor (Pa>0.5 for all S. polyanthum compounds and Pa<0.5 for SPD304, MG-132, and MDF). Based on PPIs network analysis, TNFα, NF-kB, SOD, and KEAP1 are associated. The molecular docking analysis showed that deoxyphomalone, NCGC00169066-01, and phloretin had inhibition potential against TNFα and NF-kB, and activation potential against SOD, due to several residues involved in the interaction of compounds-protein was the same as the interaction of inhibitor (SPD-304 and MG-132) and activator (gallic acid) control against the protein. The residues may have the same inhibition or activation mechanism as the control. However, S. polyanthum bioactive compounds may still have inhibition potential against KEAP1 through Ala548 residue that is also involved in the interaction of DMF-KEAP1.
Conclusions: The bioactive compounds of S. polyanthum showed anti-inflammation and antioxidant potential, which may have a good effect in the treatment of PCOS, yet still need to be confirmed in vitro or in vivo research.
Keywords: antioxidant; inflammation; molecular docking; polycystic ovary syndrome; Syzygium polyanthum.

Resumen
Contexto: El síndrome de ovario poliquístico (SOP) está significativamente asociado con la inflamación y el estrés oxidativo. Syzygium polyanthum es una planta rica en propiedades farmacológicas. Objetivos: Evaluar el potencial anti-inflamatorio y antioxidante de los compuestos bioactivos de S. polyanthum utilizando un enfoque in silico.
Métodos: S. polyanthum se extrajo mediante el método de extracción asistida por ultrasonido (UAE), y los compuestos bioactivos se seleccionaron mediante análisis de cromatografía líquida-espectrometría de masas de alta resolución (LC-HRMS). Este estudio predijo la actividad biológica de los compuestos de S. polyanthum utilizando el servidor PASS Online. Antes del acoplamiento, analizamos la red de interacciones proteína-proteína (PPI) de TNFα, NF-kB, SOD y KEAP1. El acoplamiento molecular se realizó con Autodock Vina en el software PyRx y se visualizó con Discovery Studio. Se determinó la probabilidad de estar activo (Pa).
Resultados: Los compuestos bioactivos encontrados en S. polyanthum y utilizados en este estudio fueron desoxifomalona, NCGC00169066-01 y floretina con tiempos de retención [min] de 0,886; 0,907 y 8,323, respectivamente. La actividad biológica predicha de los compuestos y controles fue anti-inflamatoria, inmunosupresora, inhibidora de la expresión de TNF, inmunomoduladora e inhibidora de la expresión de HIF1α (Pa>0,5 para todos los compuestos de S. polyanthum y Pa<0,5 para SPD304, MG-132 y MDF). Según el análisis de red de PPI, se asocian TNFα, NF-kB, SOD y KEAP1. El análisis de acoplamiento molecular mostró que la desoxifomalona, NCGC00169066-01 y la floretina tenían potencial de inhibición contra TNFα y NF-kB, y potencial de activación contra SOD, debido a que varios residuos involucrados en la interacción de compuestos-proteína eran los mismos que la interacción del inhibidor (SPD-304 y MG-132) y activador (ácido gálico) controlan contra la proteína. Los residuos pueden tener el mismo mecanismo de inhibición o activación que el control. Sin embargo, los compuestos bioactivos de S. polyanthum aún pueden tener un potencial de inhibición contra KEAP1 a través del residuo Ala548 que también está involucrado en la interacción de DMF-KEAP1.
Conclusiones: Los compuestos bioactivos de S. polyanthum mostraron potencial anti-inflamatorio y antioxidante, lo que puede tener un buen efecto en el tratamiento del SOP, pero aún debe confirmarse en investigaciones in vitro o in vivo.
Palabras Clave: acoplamiento molecular; antioxidante; inflamación; síndrome de ovario poliquistico; Syzygium polyanthum.

Citation Format: Aditya R; Santoso B; Widjiati W (2022) Anti-inflammatory and antioxidant potential of Syzygium polyanthum (Wight) Walp. bioactive compounds in polycystic ovary syndrome: An in silico study. J Pharm Pharmacogn Res 10(4): 725–736. https://doi.org/10.56499/jppres22.1408_10.4.725
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