LC-MS Profiling and Anti-Inflammatory Activity of <i>Saurauia fasciculata</i> Bark: Network Pharmacology, Molecular Docking, MD Simulation, and in-Vitro Validation

Background Saurauia fasciculata has been traditionally utilized in Nepalese medicine for various therapeutic applications. This study aimed to characterize the phytochemical profile and evaluate the anti-inflammatory potential of S. fasciculata bark extract using an integrated in-silico and in-vitro approach. Methods Methanolic bark extract was prepared by sequential maceration and analyzed using Fourier transform infrared spectroscopy (FT-IR) for functional group characterization and liquid chromatography–mass spectrometry (LC–MS/MS) for phytochemical profiling. Network pharmacology analysis was performed to predict inflammation-related targets. Key protein targets (PIK3R1 and PIK3CA) were subjected to molecular docking (AutoDock Vina v1.2.0) with identified phytoconstituents, followed by 100 ns molecular dynamics simulations using Schrödinger Desmond (release 2022-3). Post-simulation analysis was performed to validate the complex stability. Pharmacokinetic properties of the top phytoconstituents were evaluated in silico. Anti-inflammatory potential of the crude extract was validated in vitro using the protein denaturation assay, with aspirin as the standard. Results LC–MS analysis revealed multiple bioactive constituents, including Equol, 2′-methoxy-6,8-dimethyl flavone, Quercetin, Retusin, and Corosolic acid. Network pharmacology highlighted PIK3R1 and PIK3CA as pivotal inflammation-related targets. Molecular docking showed that Equol had the highest binding affinity toward PIK3-δ (6PYR; −9.0 kcal/mol) and PIK3-α (8EXL; −9.1 kcal/mol). MD simulations confirmed stable protein–ligand interactions, and PCA and MM/GBSA analyses supported strong binding stability and energetics. In vitro, the extract inhibited protein denaturation in a dose-dependent manner, with an IC 50 of 112.10 ± 0.57 µg/mL compared to 75.33 ± 0.73 µg/mL for aspirin, suggesting moderate anti-inflammatory activity. Conclusion This study provides preliminary evidence supporting the anti-inflammatory potential of S. fasciculata bark extract, with Equol identified as a promising candidate for further investigation.

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Journal
Natural Product Communications
Published
2025-11-01
DOI
https://doi.org/10.1177/1934578x251395905
Primary Topic
Medicinal Plants and Neuroprotection
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article
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article

LC-MS Profiling and Anti-Inflammatory Activity of Saurauia fasciculata Bark: Network Pharmacology, Molecular Docking, MD Simulation, and in-Vitro Validation

Rupesh Kumar M, Priyanka Kamaria, Sibghatullah Sangi, Bipindra Pandey et al.
Natural Product Communications
Medicinal Plants and Neuroprotection
article

LC-MS Profiling and Anti-Inflammatory Activity of Saurauia fasciculata Bark: Network Pharmacology, Molecular Docking, MD Simulation, and in-Vitro Validation

Rupesh Kumar M, Priyanka Kamaria, Sibghatullah Sangi, Bipindra Pandey, Shankar Thapa, Nagaraja Sreeharsha, Somashekhar M. Metri, Santosh Prasad Chaudhary Kurmi, Priyanka Tiwari
article en

Abstract

Background Saurauia fasciculata has been traditionally utilized in Nepalese medicine for various therapeutic applications. This study aimed to characterize the phytochemical profile and evaluate the anti-inflammatory potential of S. fasciculata bark extract using an integrated in-silico and in-vitro approach. Methods Methanolic bark extract was prepared by sequential maceration and analyzed using Fourier transform infrared spectroscopy (FT-IR) for functional group characterization and liquid chromatography–mass spectrometry (LC–MS/MS) for phytochemical profiling. Network pharmacology analysis was performed to predict inflammation-related targets. Key protein targets (PIK3R1 and PIK3CA) were subjected to molecular docking (AutoDock Vina v1.2.0) with identified phytoconstituents, followed by 100 ns molecular dynamics simulations using Schrödinger Desmond (release 2022-3). Post-simulation analysis was performed to validate the complex stability. Pharmacokinetic properties of the top phytoconstituents were evaluated in silico. Anti-inflammatory potential of the crude extract was validated in vitro using the protein denaturation assay, with aspirin as the standard. Results LC–MS analysis revealed multiple bioactive constituents, including Equol, 2′-methoxy-6,8-dimethyl flavone, Quercetin, Retusin, and Corosolic acid. Network pharmacology highlighted PIK3R1 and PIK3CA as pivotal inflammation-related targets. Molecular docking showed that Equol had the highest binding affinity toward PIK3-δ (6PYR; −9.0 kcal/mol) and PIK3-α (8EXL; −9.1 kcal/mol). MD simulations confirmed stable protein–ligand interactions, and PCA and MM/GBSA analyses supported strong binding stability and energetics. In vitro, the extract inhibited protein denaturation in a dose-dependent manner, with an IC 50 of 112.10 ± 0.57 µg/mL compared to 75.33 ± 0.73 µg/mL for aspirin, suggesting moderate anti-inflammatory activity. Conclusion This study provides preliminary evidence supporting the anti-inflammatory potential of S. fasciculata bark extract, with Equol identified as a promising candidate for further investigation.

Natural Product CommunicationsVol. 20(11)
Patan Academy of Health Sciences (NP), Point University (US), Universal College (PH), Universal Engineering College (IN), BLDE (Deemed to be University) (IN), KLE Academy of Higher Education and Research (IN), Dar Al Uloom University (SA), Madan Bhandari Academy of Health Sciences, King Faisal University (SA), Al-Ameen College of Pharmacy (IN)
Openalex Percentile: Top 47%
Medicinal Plants and Neuroprotection
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