# Capturing the antimicrobial profile of Paeonia officinalis, Jasminum officinale and Rosa damascene against methicillin resistant Staphylococcus aureus with metabolomics analysis and network pharmacology

**Authors:** Nourhan Hisham Shady, Fatma Alzahraa Mokhtar, Basma Khalaf Mahmoud, Ramadan Yahia, Ayman M. Ibrahim, Nada Ahmed Sayed, Mamdouh Nabil Samy, Mubarak A. Alzubaidi, Usama Ramadan Abdelmohsen

PMC · DOI: 10.1038/s41598-024-62369-5 · Scientific Reports · 2024-06-13

## TL;DR

This study identifies Paeonia officinalis root extract as a strong antibacterial against MRSA, using metabolomics and network pharmacology to explore its active compounds and mechanisms.

## Contribution

The study combines metabolomics and network pharmacology to explore the antibacterial mechanism of Paeonia officinalis against MRSA.

## Key findings

- Paeonia officinalis root extract showed potent anti-MRSA activity with a MIC of 0.4673 µg/ml.
- Twenty metabolites were identified, with terpenes being the most abundant class.
- Network pharmacology linked identified metabolites to 254 targets, including key genes like ALB, ACHE, and MMP9 associated with MRSA.

## Abstract

In the current study, we evaluated the in vitro antibacterial efficacy of the roots’ extracts of Jasminum officinale, Rosa damascene and Paeonia officinalis against MRSA (methicillin-resistant Staphylococcus aureus) by well diffusion technique. The root extract of P. officinalis exerted a potent anti-MRSA with MIC 0.4673 µg/ml, while both J. officinale and R. damascene exhibited very weak activity. Therefore, chemical profiling of the crude extract P. officinalis roots assisted by LC-HR-ESI-MS was performed and led to the dereplication of twenty metabolites of different classes, in which terpenes are the most abundant compounds. On a molecular level, network pharmacology was used to determine the targets of active metabolites to bacterial infections, particularly MRSA. Online databases PubChem, UniProt, STRING, and Swiss Target Prediction were used. In addition to using CYTOSCAPE software to display and analyze the findings, ShinyGO and FunRich tools were used to identify the gene enrichment analysis to the set of recognized genes. The results detected the identified metabolites were annotated by 254 targets. ALB, ACHE, TYMS, PRKCD, PLG, MMP9, MMP2, ERN1, EDNRA, BRD4 were found to be associated with MRSA infection. The top KEGG pathway was the vascular smooth muscle contraction pathway according to enrichment FDR. The present study suggested a possible implication of P. officinalis roots as a potent candidate having a powerful antibacterial activity against MRSA.

## Linked entities

- **Genes:** ALB (albumin) [NCBI Gene 213], ACHE (acetylcholinesterase (Yt blood group)) [NCBI Gene 43], TYMS (thymidylate synthetase) [NCBI Gene 7298], PRKCD (protein kinase C delta) [NCBI Gene 5580], PLG (plasminogen) [NCBI Gene 5340], MMP9 (matrix metallopeptidase 9) [NCBI Gene 4318], MMP2 (matrix metallopeptidase 2) [NCBI Gene 4313], ERN1 (endoplasmic reticulum to nucleus signaling 1) [NCBI Gene 2081], EDNRA (endothelin receptor type A) [NCBI Gene 1909], BRD4 (bromodomain containing 4) [NCBI Gene 23476]
- **Diseases:** MRSA (MONDO:0100073)
- **Species:** Paeonia officinalis (taxon 69717), Jasminum officinale (taxon 126433), Staphylococcus aureus (taxon 1280)

## Full-text entities

- **Diseases:** MRSA (MESH:D013203), bacterial infections (MESH:D001424)
- **Species:** Primula veris (cowslip, species) [taxon 170927], Staphylococcus aureus (species) [taxon 1280], Paeonia officinalis (species) [taxon 69717]

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11176355/full.md

## References

48 references — full list in the complete paper: https://tomesphere.com/paper/PMC11176355/full.md

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Source: https://tomesphere.com/paper/PMC11176355