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Multi-factor combined biomarker screening strategy to rapidly diagnose Alzheimer's disease and evaluate drug effect based on a rat model
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作者 Yanmeng Liu Xinyue Zhang +3 位作者 Weiwei Lin Nurmuhammat Kehriman Wen Kuang Xiaomei Ling 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2022年第4期627-636,共10页
Alzheimer's disease(AD)represents the main form of dementia;however,valid diagnosis and treatment measures are lacking.The discovery of valuable biomarkers through omics technologies can help solve this problem.Fo... Alzheimer's disease(AD)represents the main form of dementia;however,valid diagnosis and treatment measures are lacking.The discovery of valuable biomarkers through omics technologies can help solve this problem.For this reason,metabolomic analysis using ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry(UPLC-Q-TOF-MS)was carried out on plasma,hippocampus,and cortex samples of an AD rat model.Based on the metabolomic data,we report a multi-factor combined biomarker screening strategy to rapidly and accurately identify potential biomarkers.Compared with the usual procedure,our strategy can identify fewer biomarkers with higher diagnostic specificity and sensitivity.In addition to diagnosis,the potential biomarkers identified using our strategy were also beneficial for drug evaluation.Multi-factor combined biomarker screening strategy was used to identify differential metabolites from a rat model of amyloid beta peptide 1e40(Aβ_(1-40))plus ibotenic acid-induced AD(compared with the controls)for the first time;lysophosphatidylcholine(LysoPC)and intermediates of sphingolipid metabolism were screened as potential biomarkers.Subsequently,the effects of donepezil and pine nut were successfully reflected by regulating the levels of the abovementioned biomarkers and metabolic profile distribution in partial least squaresdiscriminant analysis(PLS-DA).This novel biomarker screening strategy can be used to analyze other metabolomic data to simultaneously enable disease diagnosis and drug evaluation. 展开更多
关键词 Biomarker discovery Metabolomics Multi-factor combined biomarker screening STRATEGY disease diagnosis drug evaluation
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深度学习在健康医疗中的应用研究综述 被引量:7
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作者 雪峰豪 蒋海波 唐聃 《计算机科学》 CSCD 北大核心 2023年第4期1-15,共15页
随着生物医学和信息技术的快速融合发展,健康医疗领域积累了海量的影像数据、患者报告数据、电子健康记录和组学数据等,这些数据具有复杂性、异构性和高维等特点。而深度学习有着复杂函数模拟和自动学习特征的能力,能够从复杂的数据中... 随着生物医学和信息技术的快速融合发展,健康医疗领域积累了海量的影像数据、患者报告数据、电子健康记录和组学数据等,这些数据具有复杂性、异构性和高维等特点。而深度学习有着复杂函数模拟和自动学习特征的能力,能够从复杂的数据中较为精准地提取有效的信息,可为医学诊断、药物研发等方面的研究提供高效的技术支撑。目前,深度学习在医学影像方面已经取得极大的成功,一些基于深度学习的医学影像诊断系统所获得的性能甚至能够与相关专家媲美。由于自然语言处理技术的进步,深度学习在利用非图像数据中的任务中也取得了显著的进步。文中首先简述了深度学习在健康医疗中的发展历程;然后,针对深度学习模型在健康医疗领域中的应用情况进行了统计分析,并对相关数据集进行了整理,还介绍了深度学习在疾病诊断、健康监护等医学诊疗过程中的研究情况,以及它在蛋白质结构预测和药物发现等方面的研究进展;最后,讨论了深度学习在健康医疗应用中存在的数据质量、可解释性、隐私安全和实际应用限制等关键挑战,以及应对这些挑战的可行方案或途径。 展开更多
关键词 深度学习 疾病诊断 健康监护 蛋白质结构预测 药物发现
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生物芯片技术与基础医学研究 被引量:9
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作者 王国青 赖亚明 +2 位作者 邢婉丽 孟文昭 程京 《基础医学与临床》 CSCD 2000年第4期5-7,共3页
As a new technology, biochip has enjoyed its rapid development for its high-speed and parallel feature. Lab-on-a-chip, based on the biochip technology, integrates the non-continuous process of the life sciences into a... As a new technology, biochip has enjoyed its rapid development for its high-speed and parallel feature. Lab-on-a-chip, based on the biochip technology, integrates the non-continuous process of the life sciences into a microchip. Biochip technology is believed to revolutionize the future research in life sciences, disease diagnosis, forensic sciences and outer space exploitation. We focus on the applications of biochip in the medicine area, such as disease diagnosis, and study of disease mechanism. 展开更多
关键词 生物芯片 DNA杂交芯片 毛细管电泳芯片
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