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DOI 10.1038/s41598-023-34593-y

Медицинская библиотека · Scientific reports · 2023

Evaluation of extraction methods for untargeted metabolomic studies for future applications in zebrafish larvae infection models.

Schippers Philip, Rasheed Sari, Park Yu Mi, Risch Timo, Wagmann Lea, Hemmer Selina, Manier Sascha K, Müller Rolf, Herrmann Jennifer, Meyer Markus R

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Аннотация

Sample preparation in untargeted metabolomics should allow reproducible extractions of as many molecules as possible. Thus, optimizing sample preparation is crucial. This study compared six different extraction procedures to find the most suitable for extracting zebrafish larvae in the context of an infection model. Two one-phase extractions employing methanol (I) and a single miscible phase of methanol/acetonitrile/water (II) and two two-phase methods using phase separation between chloroform and methanol/water combinations (III and IV) were tested. Additional bead homogenization was used for methods III and IV (III_B and IV_B). Nine internal standards and 59 molecules of interest (MoInt) related to mycobacterial infection were used for method evaluation. Two-phase methods (III and IV) led to a lower feature count, higher peak areas of MoInt, especially amino acids, and higher coefficients of variation in comparison to one-phase extractions. Adding bead homogenization increased feature count, peak areas, and CVs. Extraction I showed higher peak areas and lower CVs than extraction II, thus being the most suited one-phase method. Extraction III and IV showed similar results, with III being easier to execute and less prone to imprecisions. Thus, for future applications in zebrafish larvae metabolomics and infection models, extractions I and III might be chosen.

Для цитирования: Schippers Philip, Rasheed Sari, Park Yu Mi, Risch Timo, Wagmann Lea, Hemmer Selina, Manier Sascha K, Müller Rolf, Herrmann Jennifer, Meyer Markus R. Evaluation of extraction methods for untargeted metabolomic studies for future applications in zebrafish larvae infection models.. Scientific reports. 2023. DOI: 10.1038/s41598-023-34593-y.

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