Search Results - serum

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Serum Protein Biomarkers that Predict the Response to Liver Directed Therapy in Methymalonic Acidemia (MMA) and Propionic Acidemia (PA)
Isolated Methylmalonic Acidemia (MMA) comprises a relatively common and heterogeneous group of inborn errors of metabolism. The most common cause of isolated MMA is genetic deficiency of the enzyme methylmalonyl-coA mutase (MUT), which, unfortunately for the affected patients, is also the most clinically severe. NHGRI scientist have discovered biomarkers...
Published: 7/25/2024   |   Inventor(s): Eirini (Irini) Manoli, Charles Venditti
Keywords(s): Acidemia, Biomarkers, Directed, liver, Methymalonic, MMA, PREDICT, Protein, RESPONSE, SERUM, That, THERAPY, VPXXXX, WBXXXX, WIXXXX, XCXXXX, XEXXXX
Category(s): Application > Diagnostics, TherapeuticArea > Ophthalmology, Application > Research Materials, TherapeuticArea > Cardiology, TherapeuticArea > Oncology, TherapeuticArea > Dental, TherapeuticArea > Endocrinology, Application > Therapeutics, TherapeuticArea > Infectious Disease
Rapid Colorimetric Detection of Zika Virus from Serum and Urine Specimens by RT-LAMP (Reverse Transcription Loop-Mediated Isothermal Amplification).
The Zika virus (ZIKV) can be passed from a pregnant woman to her fetus. Resulting infection by this virus can cause early miscarriage and a pattern of severe birth defects in fetuses and infants. Therefore, a rapid diagnostic assay that can be performed throughout pregnancy in a clinical setting is vital for prenatal care of women living in areas where...
Published: 7/25/2024   |   Inventor(s): Amanda Calvert
Keywords(s): amplification, COLORIMETRIC, Detection, Isothermal, Loop-, Mediated, NCEZID-DVBD, RAPID, Reverse, RT-LAMP, RT-LAMP., SERUM, SPECIMENS, transcription, Urine, virus, VLXXXX, WBXXXX, WFXXXX, WHXXXX, WIXXXX, XEXXXX, YBXXXX, YDXXXX, YFXXXX, Zika
Category(s): Collaboration Sought > Collaboration, Collaboration Sought > Licensing, TherapeuticArea > Infectious Disease, Application > Consumer Products, Application > Diagnostics, Application > Therapeutics, Application > Research Materials, Application > Occupational Safety and Health
­A TUNABLE PROXIMITY ASSAY THAT CAN OVERCOME DILUTIONAL NON-LINEARITY
­A TUNABLE PROXIMITY ASSAY THAT CAN OVERCOME DILUTIONAL NON-LINEARITY Researchers at Stanford have developed a tunable proximity assay with a wide dynamic range that can detect multiple analytes in a single sample. Blood-based quantification of protein biomarkers is a standard tool for the prediction, diagnosis, and monitoring of disease. Physiological...
Published: 3/17/2023   |   Inventor(s): Hyongsok Soh
Keywords(s): Affinity Reagent, Antibody, Aptamer, Biomolecules, Biosensor System, Blood, Serum
Category(s): Technology Classifications > Biology
AUTOANTIBODIES AS BIOMARKERS FOR AUTOIMMUNE POLYGLANDULAR SYNDROME TYPE 1
AUTOANTIBODIES AS BIOMARKERS FOR AUTOIMMUNE POLYGLANDULAR SYNDROME TYPE 1 Researchers at UCSF and the Chan Zuckerberg Biohub have identified multiple common autoantibody targets in APS1 patients through proteome-wide programmable phage-display. The identification of autoantigens remains a critical challenge for understanding and treating autoimmune...
Published: 3/17/2023   |   Inventor(s): Sara Vazquez, Mark Anderson, Joseph DeRisi
Keywords(s): Antibody, Autoantibody, Diagnosis, Particle Display, Serum
Category(s): Technology Classifications > Biology
NON-INVASIVE PREDICTION OF GESTATIONAL AGE AND PRETERM DELIVERY RISK USING MATERNAL CELL-FREE RNA
NON-INVASIVE PREDICTION OF GESTATIONAL AGE AND PRETERM DELIVERY RISK USING MATERNAL CELL-FREE RNA Researchers at the Chan Zuckerberg Biohub, Stanford, and the Statens Serum Institute have developed methods for predicting gestational age and preterm delivery risk through analysis of maternal cell-free RNA (cfRNA) from blood samples. Most clinicians...
Published: 3/17/2023   |   Inventor(s): Mira N.Moufarrej, Stephen Quake, Mads Melbye, Thuy Ngo, Joan Camunas-Soler
Keywords(s): Blood, Cell Free RNA, cfRNA, Fetal Development, Gestational Age, Preterm Delivery Risk, Serum
Category(s): Technology Classifications > Biology