8 results about "Albuminuria" patented technology

An exemplary embodiment includes obtaining, by a computing system, observed values of an individual's demographic values, an individual's vital sign values, and an individual's blood test values; applying, by the computing system, a machine learning model to the observed values; providing, by the computing system, a prediction as to whether the individual exhibits undiagnosed albuminuria or proteinuria based on the observed values; and the machine learning model is trained by a training dataset. The training dataset includes corresponding demographic values, vital sign values, blood test values, and observed values of either a urine albumin-to-creatinine ratio (UACR) value or a urine protein-to-creatinine ratio (UPR) value for a plurality of individuals. The machine learning model is configured to provide a prediction as to whether further observed values indicate undiagnosed albuminuria or proteinuria.

The invention belongs to the technical field of biology, and discloses a detection method of non-white proteinuria and application of the non-white proteinuria in auxiliary diagnosis of metabolic syndrome. The non-white proteinuria detection method comprises the following steps: S1, carrying out qualitative analysis on a urine sample to obtain qualitative detection results including urine pH, PRO and BLD; if the BLD is positive, judging that the urine sample is suspected non-white proteinuria; if the BLD is negative, executing the step S2; s2, according to the urine qualitative detection result, a urine sample quantitative detection mode is selected to carry out TPU and MALB quantitative detection on the urine sample, and a quantitative detection result is obtained; and jointly judging whether the urine sample is non-white proteinuria or not according to TPU and MALB quantitative detection results and PRO qualitative detection results. The invention also provides a non-white proteinuria detection system which comprises a laboratory information system, an IS system and a urine quantitative analysis system. The non-white proteinuria detection method can realize identification of white proteinuria and non-white proteinuria in proteinuria, and provides a new way for clinical diagnosis of MetS.

An example embodiment may involve obtaining, by a computing system, an observation of demographic values of an individual, vital sign values of the individual, and blood test values of the individual: applying, by the computing system, a machine learning model to the observation, wherein the machine learning model was trained with a training data set, wherein the training data set contained observations of corresponding demographic values, vital sign values, blood test values, and either urine albumin-to-creatinine ratio (UACR) values or urine protein-to-creatinine ratio (UPR) values for a plurality of individuals, and wherein the machine learning model is configured to provide predictions of whether further observations are indicative of undiagnosed albuminuria or proteinuria; and providing, by the computing system, a prediction of whether the individual exhibits undiagnosed albuminuria or proteinuria based on the observation.

The present invention relates to a use of a composition comprising a zinc salt; and cyclohistidine-proline as an effective ingredient for preventing, ameliorating or treating diabetic nephropathy, and more particularly, to provide a composition comprising a zinc salt; and cyclohistidine-proline as an effective ingredient and a method for preventing, ameliorating or treating diabetic nephropathy using the same, wherein the composition exhibits a preventive, ameliorative or therapeutic effect on diabetic nephropathy through an effect of reducing albuminuria, reducing an albumin / creatinine ratio or increasing glomerular filtration rate when the composition is administered alone or in combination with an antihypertensive agent and / or an antidiabetic agent.

Example embodiments may involve obtaining, by a computing system, observations of a demographic value of an individual, a vital sign value of an individual, and a blood test value of an individual; applying, by the computing system, a machine learning model to the observations wherein the machine learning model is trained with a training data set comprising observations of corresponding demographic values, vital sign values, blood test values, and urinary albumin to creatinine ratio (UACR) values or urinary protein to creatinine ratio (UPR) values for a plurality of individuals, and wherein the machine learning model is configured to provide a further observation of a prediction of whether an undiagnosed white proteinuria or proteinuria is indicated; and providing, by the computing system, a prediction of whether the individual exhibits undiagnosed white proteinuria or proteinuria based on the observation.

The inventors explored the relevance of alpelisib in the MRL / MpJ-Faslpr / J mouse (referred to herein as MRL-lpr), a mouse model of lupus nephritis. MRL-lpr mice treated with alpelisib showed less proteinuria compared to vehicle. Even more strikingly, a reverse trajectory was shown by comparison of albuminuria before and after treatment initiation. Indeed, MRL-lpr mice treated with alpelisib showed improvement in proteinuria arguing for reversibility of the disease. At the time of euthanasia, MRL-lpr mice treated with alpelisib tended to have a lower kidney-to-body weight ratio compared to vehicle-treated animals. Kidney examination showed that alpelisib was associated with the absence of glomerular lesions and improved kidney function compared to vehicle-treated mice. The inventors concluded that alpelisib and more generally PIK3CA inhibition represent a promising drug for patients with proliferative glomerulonephritis. The present invention relates to a method for treating proliferative glomerulonephritis in a subject in need thereof, comprising the step of administering to the subject a therapeutically effective amount of a PIK3CA inhibitor.

The present invention relates to a use of a composition for preventing, alleviating, or treating diabetic kidney disease, the composition comprising zinc salt and cyclo-hispro as active ingredients. More specifically, the present invention provides: a composition for preventing, alleviating, or treating diabetic kidney disease, the composition comprising zinc salt and cyclo-hispro as active ingredients, wherein the composition, when administered alone or in combination with an antihypertensive agent and / or antidiabetic agent, exhibits the effect of preventing, alleviating, or treating diabetic kidney disease through the effect of reducing albuminuria, reducing the albuminuria / creatinine ratio, or increasing the glomerular filtration rate; and a method for preventing, alleviating, or treating diabetic kidney disease using same.

Inventors have explored the relevance of alpelisib in MRL / MpJ-Faslpr / J mice (referred here as MRL-lpr). a mouse model of lupus nephritis. MRL-lpr mice treated with alpelisib demonstrated less proteinuria compared to vehicle. More stinkingly, comparison of albuminuria before and after treatment introduction showed opposite trajectories. Indeed. MRL-lpr mice treated with alpelisib demonstrated proteinuria improvement arguing for a reversibility of the disease. At sacrifice. MRL-lpr mice treated with alpelisib had a tendency to have a lower kidney to body weight ratio compared to vehicle treated animals. Kidney examination showed that alpelisib was associated with no glomerular lesions compared to vehicle treated mice and an improved kidney function. Inventors conclude that alpelisib and more generally PIK3CA inhibition represent promising drugs for patients with proliferative glomerulonephritis. The invention relates to a method for treating proliferative glomerulonephritis in a subject in need thereof comprising a step of administering the subject with a therapeutically effective amount of a PIK3CA inhibitor.