A robust and miniaturized screening platform to study natural products affecting metabolism and survival in Caenorhabditis elegans.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
23 07 2020
Historique:
received: 18 01 2020
accepted: 20 04 2020
entrez: 25 7 2020
pubmed: 25 7 2020
medline: 15 12 2020
Statut: epublish

Résumé

In this study a robust, whole organism screening based on Caenorhabditis elegans is presented for the discovery of natural products (NP) with beneficial effects against obesity and age-related diseases. Several parameters of the elaborated workflow were optimized to be adapted for probing multicomponent mixtures combining knowledge from traditional medicine and NP chemistry by generating optimized small-scale extracts considering scarcity of the natural source, solubility issues, and potential assay interferences. The established miniaturized assay protocol allows for in vivo probing of small amounts of even complex samples (~ 1 mg) to test their ability to increase the nematodes' survival time and the suppression of fat accumulation assessed by Nile red staining as hall marks of "healthy aging". The workflow was applied on 24 herbal and fungal materials traditionally used against symptoms of the metabolic syndrome and revealed promising results for the extracts of Gardenia jasminoides fruits and the sclerotia from Inonotus obliquus. Tested at 100 µg/mL they were able to significantly reduce the Nile red fluorescence and extend the 50% survival rate (DT

Identifiants

pubmed: 32704017
doi: 10.1038/s41598-020-69186-6
pii: 10.1038/s41598-020-69186-6
pmc: PMC7378205
doi:

Substances chimiques

Biological Products 0
Plant Extracts 0
Dimethyl Sulfoxide YOW8V9698H

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

12323

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Auteurs

Julia Zwirchmayr (J)

Department of Pharmacognosy, Faculty of Life Sciences, University of Vienna, Althanstraße 14, 1090, Vienna, Austria.

Benjamin Kirchweger (B)

Department of Pharmacognosy, Faculty of Life Sciences, University of Vienna, Althanstraße 14, 1090, Vienna, Austria.

Theresa Lehner (T)

Department of Pharmacognosy, Faculty of Life Sciences, University of Vienna, Althanstraße 14, 1090, Vienna, Austria.

Ammar Tahir (A)

Department of Pharmacognosy, Faculty of Life Sciences, University of Vienna, Althanstraße 14, 1090, Vienna, Austria.

Dagmar Pretsch (D)

Department of Pharmacognosy, Faculty of Life Sciences, University of Vienna, Althanstraße 14, 1090, Vienna, Austria.

Judith M Rollinger (JM)

Department of Pharmacognosy, Faculty of Life Sciences, University of Vienna, Althanstraße 14, 1090, Vienna, Austria. judith.rollinger@univie.ac.at.

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Classifications MeSH