Planta Med 2022; 88(15): 1557
DOI: 10.1055/s-0042-1759303
Poster Session II

Interaction of the extract from marigold flowers and comfrey root with human skin microbiota

Authors

  • N Melnyk∗

    1   Microbiota Lab, Department of Pharmacognosy and Molecular Basis of Phytotherapy, Medical University of Warsaw, Banacha 1, Warsaw, Poland

  • D Popowski

    1   Microbiota Lab, Department of Pharmacognosy and Molecular Basis of Phytotherapy, Medical University of Warsaw, Banacha 1, Warsaw, Poland

  • L Peeters

    2   Natural Products & Food Research and Analysis (NatuRA), Department of Pharmaceutical Sciences, University of Antwerp, Universiteitsplein 1, Antwerp, Belgium

  • J P Piwowarski

    1   Microbiota Lab, Department of Pharmacognosy and Molecular Basis of Phytotherapy, Medical University of Warsaw, Banacha 1, Warsaw, Poland

  • S Granica

    1   Microbiota Lab, Department of Pharmacognosy and Molecular Basis of Phytotherapy, Medical University of Warsaw, Banacha 1, Warsaw, Poland
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Marigold flowers (Calendula officinalis) and comfrey root (Symphytum officinale) are plant materials traditionally used as an anti-inflammatory and wound healing topical remedies for skin diseases. Also, they are the components of many popular ointments, creams, and tinctures applied directly to the skin [1], [2].

The aim of the research was to establish the phytochemical composition of 70% ethanolic extracts, the verification of its influence on the biodiversity of the skin microbiome and evaluate its metabolism by human skin microbiota.

The extracts were analyzed using HPLC-DAD-MS. It was shown that Calendula officinalis mostly contains phenolics, flavonoids, and saponins, and Symphytum officinale is rich in alkaloids, lignans, and phenolic acid derivatives.

16 s rDNA sequencing showed that tested extracts (at 2 mg/ml) have no influence on the biodiversity of the skin microbiota after 24 h incubation. However, some qualitative changes in microbiota composition were observed. Changes in extracts composition after incubation with skin microbiota for 24, 48, and 72 h were also assessed. Tinderesting application and data-transformation script in R [3] were used to screen for potential metabolites and microbiota-enhanced biodegradation.

The results showed extracts alter the composition of skin microbiota. That may play a role in extractsʼ activity in the treatment of skin diseases. Microbiota-enhanced biodegradation of extracts was detected using a machine learning approach. Some metabolites were detected in samples with comfrey root.

The authors declare no conflict of interest. The presented research was financially supported by the NCN research grant Preludium Bis 2 No. 2020/39/O/NZ7/01 109.



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Artikel online veröffentlicht:
12. Dezember 2022

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