Dataset Information

Polar metabolomics in human muscle biopsies using a liquid-liquid extraction and full-scan LC-MS.

ABSTRACT: We describe here a user-friendly analysis protocol for semi-targeted polar metabolomics in human muscle biopsies using Zwitterionic Hydrophilic Interaction Liquid Chromatography and high-resolution full-scan mass spectrometry. Previously, this protocol has been used for Caenorhabditis elegans. Here we show that it can be successfully applied to human muscle biopsies with minor adjustments. Summarized instructions for other matrices are also provided. As peak integration in metabolomics can be challenging, we provide expected retention times and extensive peak descriptions to aid this process. For complete details on the use and execution of this protocol, please refer to Molenaars et al. (2021).

SUBMITTER: Schomakers BV

PROVIDER: S-EPMC9035783 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Polar metabolomics in human muscle biopsies using a liquid-liquid extraction and full-scan LC-MS.

Schomakers Bauke V BV Hermans Jill J Jaspers Yorrick R J YRJ Salomons Gajja G Vaz Frédéric M FM van Weeghel Michel M Houtkooper Riekelt H RH

STAR protocols 20220416 2

We describe here a user-friendly analysis protocol for semi-targeted polar metabolomics in human muscle biopsies using Zwitterionic Hydrophilic Interaction Liquid Chromatography and high-resolution full-scan mass spectrometry. Previously, this protocol has been used for <i>Caenorhabditis elegans</i>. Here we show that it can be successfully applied to human muscle biopsies with minor adjustments. Summarized instructions for other matrices are also provided. As peak integration in metabolomics ca ...[more]

PMID: 35479116

Similar Datasets

Project description:The analysis of marine lipophilic toxins in shellfish products still represents a challenging task due to the complexity and diversity of the sample matrix. Liquid chromatography coupled with mass spectrometry (LC-MS) is the technique of choice for accurate quantitative measurements in complex samples. By combining unambiguous identification with the high selectivity of tandem MS, it provides the required high sensitivity and specificity. However, LC-MS is prone to matrix effects (ME) that need to be evaluated during the development and validation of methods. Furthermore, the large sample-to-sample variability, even between samples of the same species and geographic origin, needs a procedure to evaluate and control ME continuously. Here, we analyzed the toxins okadaic acid (OA), dinophysistoxins (DTX-1 and DTX-2), pectenotoxin (PTX-2), yessotoxin (YTX) and azaspiracid-1 (AZA-1). Samples were mussels (Mytilus galloprovincialis), both fresh and processed, and a toxin-free mussel reference material. We developed an accurate mass-extracted ion chromatogram (AM-XIC) based quantitation method using an Orbitrap instrument, evaluated the ME for different types and extracts of mussel samples, characterized the main compounds co-eluting with the targeted molecules and quantified toxins in samples by following a standard addition method (SAM). An AM-XIC based quantitation of lipophilic toxins in mussel samples using high resolution and accuracy full scan profiles (LC-HR-MS) is a good alternative to multi reaction monitoring (MRM) for instruments with HR capabilities. ME depend on the starting sample matrix and the sample preparation. ME are particularly strong for OA and related toxins, showing values below 50% for fresh mussel samples. Results for other toxins (AZA-1, YTX and PTX-2) are between 75% and 110%. ME in unknown matrices can be evaluated by comparing their full scan LC-HR-MS profiles with those of known samples with known ME. ME can be corrected by following SAM with AM-XIC quantitation if necessary.

Project description:Donepezil (DPZ), a piperidine-based reversible cholinesterase inhibitor, finds extensive use in treating Alzheimer's disease (AD). Originally designed as an oral formulation, DPZ encounters drawbacks such as a brief duration of action and reduced treatment effectiveness in elderly patients with memory impairment or difficulty swallowing medications. To address these issues and improve patient compliance, researchers are actively exploring alternative DPZ formulations. Consequently, reliable methods are necessary to quantitate DPZ in biological samples for in vivo assessment. Therefore, we propose an efficient, sensitive, wide-dynamic, and cost-effective method for quantitating DPZ in rat plasma. Our method employs liquid-liquid extraction (LLE) followed by liquid chromatography and tandem mass spectrometry, enabling in vivo evaluation of novel DPZ formulations. Notably, our method requires only 20 μL of rat plasma and employs icopezil as the internal standard-a cost-effective compound with chemical similarity to DPZ. We meticulously optimized LLE conditions, taking into account factor interactions through design of experiments (DOE). Our rapid and straightforward extraction and purification involved using 500 μL of pure methyl tert-butyl ether to extract DPZ from the sample within five minutes. The dynamic range of the method extends from 0.5 ng/mL to 1,000 ng/mL, demonstrating excellent sensitivity and suitability for pharmacokinetic studies across diverse DPZ formulations. Following the FDA guidelines, we rigorously validated the developed method, evaluating selectivity, linearity (with a coefficient of determination ≥0.9999), accuracy (ranging from 96.0% to 109.6%), precision (≤13.9%), matrix effect (92.2% to 103.8%), recovery (98.5% to 106.8%), the lower limit of quantitation (0.5 ng/mL), and stability. Finally, we effectively employed the validated method for the long-term pharmacokinetic assessment of a DPZ formulation. We expect that this approach will make a substantial contribution to the advancement of new DPZ formulations, ultimately benefiting individuals afflicted by AD.

Dataset Information

Polar metabolomics in human muscle biopsies using a liquid-liquid extraction and full-scan LC-MS.

Publications

Polar metabolomics in human muscle biopsies using a liquid-liquid extraction and full-scan LC-MS.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets