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    METHOD FOR DETERMINING A DISEASE PROGRESSION AND SURVIVAL PROGNOSIS FOR PATIENTS WITH AMYOTROPHIC LATERAL SCLEROSIS
    1.
    发明申请
    METHOD FOR DETERMINING A DISEASE PROGRESSION AND SURVIVAL PROGNOSIS FOR PATIENTS WITH AMYOTROPHIC LATERAL SCLEROSIS 审中-公开

    公开(公告)号：WO2022018771A1

    公开(公告)日：2022-01-27

    申请号：PCT/IT2020/000057

    申请日：2020-07-22

    Applicant: UNIVERSITA' DEGLI STUDI DI PADOVA ,  UNIVERSITA' DEGLI STUDI DI TORINO ,  AZIENDA OSPEDALIERA UNIVERSITARIA MODENA ,  NEMO LAB SRL ,  THE MEDICAL RESEARCH, INFRASTRUCTURE AND HEALTH SERVICES FUND OF THE TEL-AVIV MEDICAL CENTER ,  ISTITUTI CLINICI SCIENTIFICI MAUGERI ,  HADASIT MEDICAL RESEARCH SERVICES AND DEVELOPMENT LTD.

    Inventor： DI CAMILLO, Barbara ,  ZANDONA', Alessandro ,  DABERDAKU, Sebastian ,  TAVAZZI, Erica ,  CHIO', Adriano ,  VASTA, Rosario ,  CALVO, Andrea ,  MOGLIA, Cristina ,  CASALE, Federico ,  D'OVIDIO, Fabrizio ,  MANDRIOLI, Jessica ,  LUNETTA, Christian ,  DRORY, Vivian ,  MORA, Gabriele ,  GOTKINE, Marc

    IPC: G16H50/20 ,  G16H50/30

    Abstract: A method is described for determining a disease progression and survival prognosis, at a succession of prediction times, for patients suffering from amyotrophic lateral sclerosis (ALS). The method comprises a step of defining a set of variables associated with the onset and progression of amyotrophic lateral sclerosis, comprising a first group of variables associated with the onset of amyotrophic lateral sclerosis (comprising at least the variables "patient sex", "disease onset age", "disease onset site"), a second group of dynamic time variables (comprising at least the variable "time elapsed since disease onset"), a third group of dynamic functional variables (comprising at least one of the variables breathing, swallowing, communicating, walking/self-care or at least one variable of a functional progression and/or severity scale of amyotrophic lateral sclerosis), and further at least one variable associated with survival. The method further provides for encoding by means of a Dynamic Bayesian Network, using at least one trained algorithm, a plurality of probabilistic conditional dependence relationships, in which each relationship is a probabilistic conditional dependence relationship between two of the aforesaid variables. The aforesaid prediction times are defined so that each prediction time belongs to a respective time interval in which the conditional dependence relationships between the variables are stationary. The method further involves describing the Dynamic Bayesian Network, using at least one trained algorithm, by means of a corresponding graph, comprising said variables as nodes and comprising topological connections oriented between nodes corresponding to variables among which a probabilistic conditional dependence is identified. In the graph, given a node, the connections entering it show a conditional probability of the value assumed by the variable associated with such node, in a given prediction time, depending on the values assumed, in a prior prediction time, from the variables associated with the nodes from which such connections originate. The method further comprises the steps of entering, for each of the defined variables, data acquired at a given acquisition time relating to the situation of a specific patient; and calculating, by electronic processing and/or calculating means, on the basis of the Dynamic Bayesian Network and the graph, and starting from the aforesaid acquired data, the values of each of the defined variables, at one or more prediction times following the acquisition time. Finally, the method involves obtaining, in a given prediction time, disease progression prognosis results on the basis of the values of one or more of the variables of the third group calculated in such prediction time; and the survival prognosis results on the basis of the value of at least one variable associated with survival, calculated at such prediction time.

    NOVEL ASSAY FOR MONITORING GLUCOSE BALANCE AND OXIDATIVE STRESS
    4.
    发明申请
    NOVEL ASSAY FOR MONITORING GLUCOSE BALANCE AND OXIDATIVE STRESS 审中-公开
    用于监测葡萄糖平衡和氧化应激的新方法

    公开(公告)号：WO2013183050A1

    公开(公告)日：2013-12-12

    申请号：PCT/IL2013/050479

    申请日：2013-06-04

    Applicant: THE MEDICAL RESEARCH INFRASTRUCTURE AND HEALTH SERVICES FUND OF THE TEL AVIV MEDICAL CENTER

    Inventor： VAISMAN, Nachum

    IPC: C12Q1/68 ,  G01N33/49

    CPC classification number: C12Q1/6883 ,  C12Q2600/106 ,  C12Q2600/158 ,  G01N2800/042

    Abstract: The invention relates to diagnostic and prognostic assays, particularly to methods of determining the metabolic state of a subject. More specifically, the invention provides assays and methods comprising determining the level of m RNA of uncoupling protein 2 (UCP2) specifically in platelets of the subject. The invention is useful in determining or adjusting the treatment of conditions associated with an unbalanced metabolic state manifested by elevated blood levels of glucose, reactive oxygen species (ROS) and/or free fatty acids (FFA). In particular embodiments, the assays and methods of the invention are useful in prognosing and monitoring subjects diagnosed with diabetes, particularly type II diabetes.

    Abstract translation: 本发明涉及诊断和预后测定，特别涉及确定受试者的代谢状态的方法。 更具体地，本发明提供了测定和方法，其包括确定特异性在受试者的血小板中的解偶联蛋白2（UCP2）的m RNA的水平。 本发明可用于确定或调节与由葡萄糖，活性氧（ROS）和/或游离脂肪酸（FFA）升高的血液水平表现出的不平衡代谢状态相关的病症的治疗。 在具体实施方案中，本发明的测定和方法可用于预测和监测诊断患有糖尿病，特别是II型糖尿病的受试者。

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