Lipidomics coverage improvement is essential for functional lipid and pathway construction.A powerful approach to discovering organism lipidome is to combine various data acquisitions,such as full scan mass spectrometry(full MS),data-dependent acquisition(DDA),and data-independent acquisition(DIA).Caenorhabditis elegans(C.elegans)is a useful model for discovering toxic-induced metabolism,high-throughput drug screening,and a variety of human disease pathways.To determine the lipidome of C.elegans and investigate lipid disruption from the molecular level to the system biology level,we used integrative data acquisition.The methyl-tert-butyl ether method was used to extract L4 stage C.elegans after exposure to triclosan(TCS),perfluorooctanoic acid,and nanopolystyrene(nPS).Full MS,DDA,and DIA integrations were performed to comprehensively profile the C.elegans lipidome by Q-Exactive Plus MS.All annotated lipids were then analyzed using lipid ontology and pathway analysis.We annotated up to 940 lipids from 20 lipid classes involved in various functions and pathways.The biological in-vestigations revealed that when C.elegans were exposed to nPS,lipid droplets were disrupted,whereas plasma membrane-functionalized lipids were likely to be changed in the TCS treatment group.The nPS treatment caused a significant disruption in lipid storage.Triacylglycerol,glycerophospholipid,and ether class lipids were those primarily hindered by toxicants.Finally,toxicant exposure frequently involved numerous lipid-related pathways,including the phosphoinositide 3-kinase/protein kinase B pathway.In conclusion,an integrative data acquisition strategy was used to characterize the C elegans lipidome,providing valuable biological insights into hypothesis generation and validation.

Background: Hypertension is one of the dangerous chronic diseases. In the treatment of hypertension, controlling blood pressure to achieve treatment target is paramount to prevent dangerous complications and death. The study was conducted to identify the percentage of hypertensive patients who do not achieve treatment target among outpatients at the internal medicine clinic, Hue University of Medicine and Pharmacy Hospital, and explore some related factors. Methods: A cross-sectional study was conducted among 403 hypertensive patients treated as outpatients at the internal medicine clinic. A multivariate logistic regression model was used to identify the related factors. Results: 46.4% of hypertensive patients did not reach the treatment target. Factors related to uncontrolled hypertension were male, non-religion, comorbidities, no reduction in salt intake, the use of coffee/tea, and non-compliance with medication (p < 0.05). Conclusions: The rate of patients with uncontrolled hypertension was still high. The health sector should consider establishing an outpatient management team; strengthening communication activities and advice on diet and drug use in parallel with medical examination and treatment.