公开(公告)号：US20140193846A1

公开(公告)日：2014-07-10

申请号：US14112670

申请日：2011-12-23

申请人： Ronald D. Macfarlane ,  Catherine J. McNeal ,  Subroto Chatterjee

发明人： Ronald D. Macfarlane ,  Catherine J. McNeal ,  Subroto Chatterjee

IPC分类号： G01N33/92

CPC分类号： G01N33/92 ,  C07K14/775 ,  G01N2800/324 ,  G01N2800/50

摘要： Novel isoforms of apolipoprotein C-I (apoC-I), namely apolipoprotein C-I1 (apoC-I1) and apolipoprotein C-I1′ (apoC-I1′), both of which have a molecular weight of approximately 90 daltons greater than native apolipoprotein C-I (SEQ ID NO:6) and native apolipoprotein C-I′ (SEQ ID NO:7), are shown to be both biomarkers for diagnosing atherosclerotic disease as well as risk factors for subjects having increased risk of developing an atherosclerotic disease.

摘要翻译： 载脂蛋白C1（apoC-I），即载脂蛋白C-I1（apoC-I1）和载脂蛋白C-I1'（apoC-I1'）的新型同工型，其分子量比天然载脂蛋白CI大约为90道尔顿 （SEQ ID NO：6）和天然载脂蛋白C1'（SEQ ID NO：7）显示为用于诊断动脉粥样硬化疾病的生物标志物以及具有发展动脉粥样硬化疾病风险增加的受试者的危险因素。

公开(公告)号：US20110178718A1

公开(公告)日：2011-07-21

申请号：US12966366

申请日：2010-12-13

申请人： Ronald R. Henriquez ,  Jeffery D. Johnson ,  Simon Sheather ,  Ronald D. MacFarlane ,  Catherine J. McNeal ,  Craig D. Larner

发明人： Ronald R. Henriquez ,  Jeffery D. Johnson ,  Simon Sheather ,  Ronald D. MacFarlane ,  Catherine J. McNeal ,  Craig D. Larner

IPC分类号： G06F19/00

CPC分类号： G01N33/491

摘要： A method of characterizing a biological sample comprising separating the biological sample into constituents; observing the separated constituents; applying statistical classification modeling to the observed constituents; deriving quantifiable data from the applied statistical classification modeling; and analyzing the data from the applied statistical classification modeling to assess a donor of the biological compounds' health. A system for characterizing a biological sample comprising a biological sample separator, wherein the biological sample separator functions to separate the biological sample into constituents; a constituent observer, wherein the constituent observer functions to confirm and qualify the presence of the constituent; a constituent statistical processor, wherein the constituent statistical processor functions to apply statistical classification modeling to the observed constituent to derive representative data; and a statistical analyzer, wherein the statistical analyzer functions to compare the representative data to benchmark values to derive a predictor for a health concern. Also disclosed is a method comprising identifying a disease of interest; identifying one or more organisms having the disease of interest; obtaining one or more biological samples from the organisms having the disease of interest; identifying one or more characteristics of the biological samples; providing quantifiable data that represents the characteristics of the biological sample; and employing a statistical classification method that utilizes the quantifiable data to identify one or more discriminant directions wherein the discriminant directions relate the characteristics of the biological sample to the disease of interest.

摘要翻译： 一种表征生物样品的方法，包括将生物样品分离成成分; 观察分离成分; 对观察到的成分应用统计分类建模; 从应用的统计分类建模得出可量化数据; 并分析来自应用的统计分类建模的数据，以评估生物化合物健康的供体。 一种用于表征包括生物样品分离器的生物样品的系统，其中所述生物样品分离器用于将所述生物样品分离成成分; 组成观察员，其中组成观察者用于确认和限定组成部分的存在; 组成统计处理器，其中组成统计处理器用于将统计分类建模应用于观察到的成分以导出代表性数据; 以及统计分析器，其中所述统计分析器用于将所述代表性数据与基准值进行比较，以导出健康关注的预测因子。 还公开了一种包括鉴定感兴趣的疾病的方法; 识别一种或多种具有感兴趣疾病的生物体; 从具有感兴趣疾病的生物获得一种或多种生物样品; 识别生物样品的一个或多个特征; 提供代表生物样品特征的可量化数据; 并且采用利用可量化数据来识别一个或多个判别方向的统计分类方法，其中判别方向将生物样本的特征与感兴趣的疾病相关联。