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Leveraging supported liquid extraction and automated workflow for high efficiency and high quality clinical LC-MS/MS method for quantification of urinary 5-hydroxyindoleacetic acid (5-HIAA), vanillylmandelic acid (VMA) and homovanillic acid (HVA).
Clin Chim Acta
January 2025
Medical-Scientific Department, LifeLabs Medical Laboratory Services, Toronto, ON M9W 6J6, Canada. Electronic address:
Article Synopsis
- The study aimed to improve the efficiency of measuring neurotransmitter metabolites (5-HIAA, VMA, and HVA) in urine, which are crucial for diagnosing neuroendocrine tumors, through automation.
- The method involved using automated supported liquid extraction (SLE) combined with liquid chromatography tandem mass spectrometry (LC-MS/MS) for accurate measurement and analysis of these metabolites.
- Results showed high recovery rates and successful validation across various performance criteria, with automation leading to significant time savings in the process.
Neurotransmitter Metabolism in Arsenic Exposure-Induced Cognitive Impairment: Emerging Insights and Predictive Implications.
Environ Sci Technol
October 2024
The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, Guizhou 550025, People's Republic of China.
Scholars have long been interested in the association between arsenic (As) exposure and neurological disorders; however, existing systematic epidemiological investigations are insufficient and lack the inclusion of diagnostic or predictive biological markers. This study sought to evaluate the association between As exposure and cognitive impairment and identify potential biomarkers by developing predictive models. Here, we found that logarithm (Ln)-transformed urinary As concentrations were negatively linearly related to the mini-mental state examination (MMSE) score exposure-response curves.
View Article and Find Full Text PDFAssessment of Urinary Dopamine and Serotonin Metabolites in Relation to Dysbiosis Indicators in Patients with Functional Constipation.
Nutrients
September 2024
Department of Gastroenterology, Medical University of Lodz, 92-213 Lodz, Poland.
Background: The causes of functional constipation (FC) in adults are unclear, but changes in the gut microbiome may play an important role. The present study aimed to assess the relationship between urinary metabolites of dopamine and serotonin and some dysbiosis indicators in patients with FC. The study included 40 healthy women and 40 women with FC aged 21-46 years.
View Article and Find Full Text PDFEstablishment and clinical application of a candidate reference measurement procedure for quantification of urinary vanillylmandelic acid and homovanillic acid using ID-LC-MS/MS method.
J Pharm Biomed Anal
September 2024
Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou 510120, PR China; Department of Laboratory Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, PR China. Electronic address:
Neuroblastoma (NB), an embryonic tumor of the autonomous nervous system, poses a significant threat to the health and lives of children. Accurate measurement of vanillylmandelic acid (VMA) and homovanillic acid (HVA) in human urine is crucial for screening and diagnosis of NB. Although various laboratories have developed liquid chromatography tandem mass spectrometry (LC-MS/MS) method to detect VMA and HVA, the comparability between the results obtained from different laboratories and methods was poor.
View Article and Find Full Text PDFIdentifying Predictive Biomarkers of Subclinical Mastitis in Dairy Cows through Urinary Metabotyping.
Metabolites
April 2024
Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada.
Article Synopsis
- * This study investigated metabolic changes in cows at risk for subclinical mastitis (SCM) by analyzing urine samples collected 8 and 4 weeks before calving, identifying 27 metabolites that differentiate SCM-prone cows from healthy ones.
- * Four specific metabolites showed predictive power for identifying SCM risk, suggesting that metabolite testing could facilitate early interventions to improve dairy cow management and reduce SCM impacts, although further validation is necessary.
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