Xinqi Fang, Junhan Wu, Yuan Hong, Jiexun Bu, Wenpeng Zhang, Zheng Ouyang, Wei Hua, Ying Mao
{"title":"实时监测抗癫痫药物丙戊酸使用一种新的护理点质谱","authors":"Xinqi Fang, Junhan Wu, Yuan Hong, Jiexun Bu, Wenpeng Zhang, Zheng Ouyang, Wei Hua, Ying Mao","doi":"10.1111/cns.70499","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Aims</h3>\n \n <p>To improve the timeliness and accuracy of anti-epilepsy drug monitoring, we developed a point-of-care mass spectrometry (PoC MS) for real-time quantification of valproic acid (VPA), as a paradigm for optimizing perioperative management.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>The PoC MS integrates a miniature mass spectrometer, paper capillary spray, and selective ion isolation. A total of 119 blood samples were analyzed for VPA quantification. An equivalent calibration model was established with 12 paired serum and whole blood samples. Analytical performance was benchmarked against liquid chromatography-mass spectrometry (LC–MS) and enzyme multiplied immunoassay technique (EMIT) with 50 whole blood samples. A validation cohort of 45 samples collected at different time points from 9 patients was analyzed to monitor perioperative VPA concentration dynamics.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Selective ion isolation could improve signal intensity by threefold and enable VPA quantification down to 10 μg/mL within 3 min, demonstrating a clear speed advantage over other methods. The calibration model showed excellent agreement between whole blood and serum concentrations (<i>R</i><sup>2</sup> = 0.978). PoC MS measurements of VPA closely matched LC–MS (<i>r</i> = 0.990, bias = 0.16%) and EMIT (<i>r</i> = 0.988, bias = 5.4%). In clinic, VPA level varied by up to 15-fold across patients, and bedside PoC MS could depict dynamic VPA concentration profiles, with intra-patient fluctuations averaging 26%, thereby supporting drug monitoring and therapeutic decision-making.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>PoC MS could enable rapid, accurate, and matrix-tolerant bedside monitoring of VPA from whole blood, supporting personalized antiseizure therapy and real-time clinical decision.</p>\n </section>\n </div>","PeriodicalId":154,"journal":{"name":"CNS Neuroscience & Therapeutics","volume":"31 7","pages":""},"PeriodicalIF":5.0000,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/cns.70499","citationCount":"0","resultStr":"{\"title\":\"Real-Time Monitoring of the Antiseizure Drug Valproic Acid Using a Novel Point-Of-Care Mass Spectrometry\",\"authors\":\"Xinqi Fang, Junhan Wu, Yuan Hong, Jiexun Bu, Wenpeng Zhang, Zheng Ouyang, Wei Hua, Ying Mao\",\"doi\":\"10.1111/cns.70499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Aims</h3>\\n \\n <p>To improve the timeliness and accuracy of anti-epilepsy drug monitoring, we developed a point-of-care mass spectrometry (PoC MS) for real-time quantification of valproic acid (VPA), as a paradigm for optimizing perioperative management.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>The PoC MS integrates a miniature mass spectrometer, paper capillary spray, and selective ion isolation. A total of 119 blood samples were analyzed for VPA quantification. An equivalent calibration model was established with 12 paired serum and whole blood samples. Analytical performance was benchmarked against liquid chromatography-mass spectrometry (LC–MS) and enzyme multiplied immunoassay technique (EMIT) with 50 whole blood samples. A validation cohort of 45 samples collected at different time points from 9 patients was analyzed to monitor perioperative VPA concentration dynamics.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Selective ion isolation could improve signal intensity by threefold and enable VPA quantification down to 10 μg/mL within 3 min, demonstrating a clear speed advantage over other methods. The calibration model showed excellent agreement between whole blood and serum concentrations (<i>R</i><sup>2</sup> = 0.978). PoC MS measurements of VPA closely matched LC–MS (<i>r</i> = 0.990, bias = 0.16%) and EMIT (<i>r</i> = 0.988, bias = 5.4%). 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Real-Time Monitoring of the Antiseizure Drug Valproic Acid Using a Novel Point-Of-Care Mass Spectrometry
Aims
To improve the timeliness and accuracy of anti-epilepsy drug monitoring, we developed a point-of-care mass spectrometry (PoC MS) for real-time quantification of valproic acid (VPA), as a paradigm for optimizing perioperative management.
Methods
The PoC MS integrates a miniature mass spectrometer, paper capillary spray, and selective ion isolation. A total of 119 blood samples were analyzed for VPA quantification. An equivalent calibration model was established with 12 paired serum and whole blood samples. Analytical performance was benchmarked against liquid chromatography-mass spectrometry (LC–MS) and enzyme multiplied immunoassay technique (EMIT) with 50 whole blood samples. A validation cohort of 45 samples collected at different time points from 9 patients was analyzed to monitor perioperative VPA concentration dynamics.
Results
Selective ion isolation could improve signal intensity by threefold and enable VPA quantification down to 10 μg/mL within 3 min, demonstrating a clear speed advantage over other methods. The calibration model showed excellent agreement between whole blood and serum concentrations (R2 = 0.978). PoC MS measurements of VPA closely matched LC–MS (r = 0.990, bias = 0.16%) and EMIT (r = 0.988, bias = 5.4%). In clinic, VPA level varied by up to 15-fold across patients, and bedside PoC MS could depict dynamic VPA concentration profiles, with intra-patient fluctuations averaging 26%, thereby supporting drug monitoring and therapeutic decision-making.
Conclusion
PoC MS could enable rapid, accurate, and matrix-tolerant bedside monitoring of VPA from whole blood, supporting personalized antiseizure therapy and real-time clinical decision.
期刊介绍:
CNS Neuroscience & Therapeutics provides a medium for rapid publication of original clinical, experimental, and translational research papers, timely reviews and reports of novel findings of therapeutic relevance to the central nervous system, as well as papers related to clinical pharmacology, drug development and novel methodologies for drug evaluation. The journal focuses on neurological and psychiatric diseases such as stroke, Parkinson’s disease, Alzheimer’s disease, depression, schizophrenia, epilepsy, and drug abuse.