The influence of the inclusion of a stable isotopic labeled internal standard (SIL-IS) on the quantitative analysis of hydroxyeicosatetranoic acids (HETEs) in human serum is evaluated in this research. A solid-phase extraction-liquid chromatography-tandem mass spectrometry (SPE-LC-MS/MS) platform, one of the preferred approaches for targeted analysis of biofluids through the selected reaction monitoring (SRM) operational mode, was used to determine HETEs. These compounds were chosen as targeted metabolites because of their involvement in cardiovascular disease, cancer and osteoporosis. 15HETE-d8 was chosen as internal standard to evaluate matrix effects. Thus, the physico-chemical properties of the SIL-IS were the basis to evaluate the analytical features of the method for each metabolite through four calibration models. Two of the models were built with standard solutions at different concentration levels, but one of the calibration sets was spiked with an internal standard (IS). The other two models were built with the serum pool from osteoporotic patients, which was spiked at different concentrations with the target analytes. In this case, one of the serum calibration sets was also spiked with the IS. The study shows that the IS allowed noticeable correction of matrix effects for some HETE isomers at certain concentration levels, while accuracy was decreased at low concentration (15ng/mL) of them. Therefore, characterization of the method has been properly completed at different concentration levels.
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http://dx.doi.org/10.1016/j.talanta.2014.03.038 | DOI Listing |
J Nephrol
January 2025
Department of Nephrology, Beaumont Hospital, Dublin, Ireland.
Background: Autosomal dominant polycystic kidney disease (ADPKD) is caused primarily by pathogenic variants in the PKD1 and PKD2 genes. Although the type of ADPKD variant can influence disease severity, rare, hypomorphic PKD1 variants have also been reported to modify disease severity or cause biallelic ADPKD. This study examines whether rare, additional, potentially protein-altering, non-pathogenic PKD1 variants contribute to ADPKD phenotypic outcomes.
View Article and Find Full Text PDFHead Neck Pathol
January 2025
Department of medical oncology, Habib Bourguiba Hospital, University of Sfax, Sfax, 3029, Tunisia.
Leiomyosarcoma (LMS) is a malignant mesenchymal neoplasm showing smooth muscle differentiation. Primary LMS of the thyroid gland is quite rare, accounting for only 0.014% of cases.
View Article and Find Full Text PDFInvest New Drugs
January 2025
Department of Internal Medicine, Jilin Cancer Hospital, Changchun, China.
Background: Immune checkpoint inhibitors (ICIs) combined with anti-vascular endothelial growth factor (VEGF) have been the standard first-line treatment of hepatocellular carcinoma (HCC). However, the efficacy of this combination in post-line treatment is still unknown. This study aimed to evaluate the efficacy and safety of the combination of anti-PD-L1 envafolimab and novel humanized anti-VEGF suvemcitug as second-line treatment for patients with HCC.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
January 2025
Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tuebingen, Otfried-Mueller-Str. 14, 72076, Tuebingen, Germany.
Purpose: Somatostatin receptor (SSTR)-PET is crucial for effective treatment stratification of neuroendocrine neoplasms (NENs). In highly proliferating or poorly differentiated NENs, dual-tracer approaches using additional [F]FDG PET can effectively identify SSTR-negative disease, usually requiring separate imaging sessions. We evaluated the feasibility of a one-day dual-tracer imaging protocol with a low activity [F]FDG PET followed by an SSTR-PET using the recently introduced [F]SiFAlin-TATE tracer in a long axial field-of-view (LAFOV) PET/CT scanner and its implications in patient management.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
January 2025
Department of Nuclear Medicine, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu City, Sichuan Province, 610041, China.
Background: Pathological grade is a critical determinant of clinical outcomes and decision-making of follicular lymphoma (FL). This study aimed to develop a deep learning model as a digital biopsy for the non-invasive identification of FL grade.
Methods: This study retrospectively included 513 FL patients from five independent hospital centers, randomly divided into training, internal validation, and external validation cohorts.
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