The determination of phosphoinositide molecular species in plant material is challenging because of their low abundance concurrent with a very high abundance of other membrane lipids, such as plastidial glycolipids. Phosphoinositides harbor an inositol headgroup which carries one or more phosphate groups at different positions of the inositol, linked to diacylglycerol via a phosphodiester. Thus, a further analytical challenge is to distinguish the different inositol-phosphate headgroups as well as the fatty acids of the diacylglycerol backbone. The method presented in this chapter expands on previous protocols for phosphoinositide analysis by employing chromatographic enrichment of phospholipids and their separation from other, more abundant lipid classes, before analysis. Lipids extracted from plant material are first separated by solid-phase adsorption chromatography into fractions containing neutral lipids, glycolipids, or phospholipids. Lipids from the phospholipid fraction are then separated by thin-layer chromatography (TLC) according to their characteristic head groups, and the individual phosphatidylinositol-monophosphates and phosphatidylinositol-bisphosphates are isolated. Finally, the fatty acids associated with each isolated phosphatidylinositol-monophosphate or phosphatidylinositol-bisphosphate are analyzed in a quantitative fashion using gas chromatography (GC). The analysis of phosphoinositides by this combination of methods provides a cost-efficient and reliable alternative to lipidomics approaches requiring more extensive instrumentation.
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Drug Des Devel Ther
January 2025
Foshan Hospital of Traditional Chinese Medicine, Foshan, Guangdong, People's Republic of China.
Background: Dachaihu decoction (DCHD) is a common Chinese medicine formula against sepsis-induced acute lung injury (SALI). PANoptosis is a novel type of programmed cell death. Nevertheless, The mechanisms of DCHD against SALI via anti-PANoptosis remains unknown.
View Article and Find Full Text PDFAging Clin Exp Res
January 2025
The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, 621000, China.
Background: Osteopenia (ON) and osteoporosis (OP) are highly prevalent among postmenopausal women and poses a challenge for early diagnosis. Therefore, identifying reliable biomarkers for early prediction using metabolomics is critically important.
Methods: Initially, non-targeted metabolomics was employed to identify differential metabolites in plasma samples from cohort 1, which included healthy controls (HC, n = 23), osteonecrosis (ON, n = 36), and osteoporosis (OP, n = 37).
Curr Probl Cardiol
January 2025
Navarrabiomed, Hospital Universitario de Navarra, Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain; CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain.
Objective: Both adolescents with obesity and those with type 1 diabetes (T1D) exhibit alterations in lipid profiles, but direct comparisons are limited. Comparing lipidomic profiles between obese individuals and those with T1D is crucial for identifying specific metabolic markers, informing tailored interventions, and advancing precision medicine strategies for these distinct populations. The aim of the study was to compare lipidomic profiles between adolescents with obesity and those with T1D, and to analyze associations between metabolites and clinical parameters.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Department of Life Science Informatics and Data Science, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 5/6, Bonn D-53115, Germany.
Explaining the predictions of machine learning models is of critical importance for integrating predictive modeling in drug discovery projects. We have generated a test system for predicting isoform selectivity of phosphoinositide 3-kinase (PI3K) inhibitors and systematically analyzed correct predictions of selective inhibitors using a new methodology termed MolAnchor, which is based on the "anchors" concept from explainable artificial intelligence. The approach is designed to generate chemically intuitive explanations of compound predictions.
View Article and Find Full Text PDFMediators Inflamm
January 2025
School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.
This study aims to investigate the mechanism of Diels et Gilg flavonoids (THF) on acute hepatic injury (AHI). First, high-performance liquid chromatography (HPLC) fingerprints were established to obtain the main chemical components of THF. According to the network pharmacology databases, collect active targets of AHI and potential targets.
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