Abstract: The application describes methods for determining the particle number and/or molar mass of lipoprotein(a) subform(s) in a biological sample using enzyme linked immunosorbent assay (ELISA). The methods described herein significantly improve lipoprotein ELISA methods and devices capable of quantifying particle numbers and population mass of Lp(a) particles. This technology offers a method for the efficient and cost-effective measurement of specific Lp(a) in a rapid, low-cost format, rather than limited measurement of Lp(a) concentration in patient tissues. The ability to measure the particle number and/or molar mass of lipoprotein(a) subform(s) in a biological sample also provides a useful diagnostic tool for assessing cardiovascular risk in a subject.

Abstract: The application describes methods for determining the particle number and/or molar mass of lipoprotein(a) subform(s) in a biological sample using enzyme linked immunosorbent assay (ELISA). The methods described herein significantly improve lipoprotein ELISA methods and devices capable of quantifying particle numbers and population mass of Lp(a) particles. This technology offers a method for the efficient and cost-effective measurement of specific Lp(a) in a rapid, low-cost format, rather than limited measurement of Lp(a) concentration in patient tissues. The ability to measure the particle number and/or molar mass of lipoprotein(a) subform(s) in a biological sample also provides a useful diagnostic tool for assessing cardiovascular risk in a subject.

Abstract: The invention provides methods and compositions for diagnosing prior ischemic stroke or transient ischemic attack (TIA) and approximate the time said stroke occurred, comprising measurement of IgG and IgM antibodies to NR2A and/or NR2B NMDA receptor or fragment thereof in a biological sample, and comparing those measurements to reference population standards and to each other. The invention also includes optionally measuring other biomarkers for autoimmune disease for the reduction in false positives and better risk stratification for future stroke events. The method is particularly useful for identifying individuals that are at risk for future stroke or TIA, and for diagnosing previous history of ischemic stroke or TIA. This measurement and comparison enables determination of the risk of future stroke which is by definition higher in those patients who have suffered a previous stroke.