Untargeted Metabolomics and in Silico Screening of <i>Sisymbrium officinale</i>: Identification of Flavonoid Glycosides as Potential Anti-inflammatory Agents

<i>Sisymbrium officinale</i> (SO) is a traditional Mediterranean medicinal plant used to treat inflammatory diseases; however, its anti-inflammatory efficacy has not been thoroughly investigated by using metabolomics and in silico approaches. This study aimed to characterize the bioactive constituents of SO and identify potential anti-inflammatory agents. SO was extracted using various solvents: water, methanol, ethanol, acetone, and chloroform. Nuclear magnetic resonance (NMR) spectroscopy provided a rough quantification of various functional groups in SO. Principal component analysis (PCA) of mass spectrometry (MS)-annotated metabolites showed that methanol, ethanol, and acetone extracts formed distinct clusters, whereas water and chloroform were separate. Bioassays─including nitric oxide (NO) inhibition, 2,2'-azino-bis-3-ethylbenzothiazoline-6-sulfonic acid (ABTS), 2,2-diphenyl-1-picrylhydrazyl (DPPH), total phenolic content (TPC), and total flavonoid content (TFC)─confirmed that methanol, ethanol, and acetone extracts exhibited the most potent anti-inflammatory activity compared with those extracted using water and chloroform. Orthogonal partial least-squares (OPLS-DA) discriminant analysis chemometrics (variable importance in projection >1.0, <i>p</i>-value <0.05, and log<sub>2</sub>(FC) > 1.5) screened 15 SO bioactive candidates belonging to the flavonoid, flavonoid glycoside, cinnamic acid, and phospholipid classes. Further, in silico ADMET analysis and molecular docking of these metabolites with human inducible NO synthase (iNOS, PDB 3E7G), endothelial NOS (eNOS, PDB 6AV7), and neuronal NOS (nNOS, PDB 6CID) receptors identified two flavonoid glycosides─apigetrin and kaempferol 3-<i>O</i>-α-l-arabinopyranoside─as potential anti-inflammatory agents that may act via a competitive inhibition mechanism. These findings provide valuable insight into the therapeutic potential of SO and support further development of its bioactive compounds.

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Publication Details

Journal
Journal of Proteome Research
Published
2025-07-16
DOI
https://doi.org/10.1021/acs.jproteome.5c00097
Citations
4
Primary Topic
Phytochemistry and Biological Activities
Type
article
Field-Weighted Citation Impact
7.00

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article

Untargeted Metabolomics and in Silico Screening of Sisymbrium officinale: Identification of Flavonoid Glycosides as Potential Anti-inflammatory Agents

Mariusz Jaremko, Salim Sioud, Jordan Kahfi, Dicki Rachman et al.
4 citations
Journal of Proteome Research
Phytochemistry and Biological Activities
7.00
article

Untargeted Metabolomics and in Silico Screening of Sisymbrium officinale: Identification of Flavonoid Glycosides as Potential Anti-inflammatory Agents

Mariusz Jaremko, Salim Sioud, Jordan Kahfi, Dicki Rachman, Siska Andrina Kusumastuti, Susi Kusumaningrum, Sami Makharza, Devi Permatasari, Abdul Hamid Emwas, Mayriska Tri Wulansari, Rashed Manasra
article en
4 citations

Abstract

<i>Sisymbrium officinale</i> (SO) is a traditional Mediterranean medicinal plant used to treat inflammatory diseases; however, its anti-inflammatory efficacy has not been thoroughly investigated by using metabolomics and in silico approaches. This study aimed to characterize the bioactive constituents of SO and identify potential anti-inflammatory agents. SO was extracted using various solvents: water, methanol, ethanol, acetone, and chloroform. Nuclear magnetic resonance (NMR) spectroscopy provided a rough quantification of various functional groups in SO. Principal component analysis (PCA) of mass spectrometry (MS)-annotated metabolites showed that methanol, ethanol, and acetone extracts formed distinct clusters, whereas water and chloroform were separate. Bioassays─including nitric oxide (NO) inhibition, 2,2'-azino-bis-3-ethylbenzothiazoline-6-sulfonic acid (ABTS), 2,2-diphenyl-1-picrylhydrazyl (DPPH), total phenolic content (TPC), and total flavonoid content (TFC)─confirmed that methanol, ethanol, and acetone extracts exhibited the most potent anti-inflammatory activity compared with those extracted using water and chloroform. Orthogonal partial least-squares (OPLS-DA) discriminant analysis chemometrics (variable importance in projection >1.0, <i>p</i>-value <0.05, and log<sub>2</sub>(FC) > 1.5) screened 15 SO bioactive candidates belonging to the flavonoid, flavonoid glycoside, cinnamic acid, and phospholipid classes. Further, in silico ADMET analysis and molecular docking of these metabolites with human inducible NO synthase (iNOS, PDB 3E7G), endothelial NOS (eNOS, PDB 6AV7), and neuronal NOS (nNOS, PDB 6CID) receptors identified two flavonoid glycosides─apigetrin and kaempferol 3-<i>O</i>-α-l-arabinopyranoside─as potential anti-inflammatory agents that may act via a competitive inhibition mechanism. These findings provide valuable insight into the therapeutic potential of SO and support further development of its bioactive compounds.

Journal of Proteome ResearchVol. 24(8)
Hebron University (PS), IPB University (ID), College of Medical Sciences (NP), Department of Physics, Mathematics and Informatics (BY), National Nuclear Energy Agency of Indonesia (ID), King Abdullah University of Science and Technology (SA), Core Laboratories (United States) (US)
Badan Riset dan Inovasi Nasional, King Abdullah University of Science and Technology, Lembaga Pengelola Dana Pendidikan
Zero hunger
Openalex Percentile: Top 3%
Phytochemistry and Biological Activities
7.00
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