The present invention refers to an in vitro method for predicting cardiotoxicity risk in a cancer patient receiving, or susceptible to receive, anthracyclines chemotherapy based on the determination of the expression levels of a combination of 10 circulating miRNAs consisting of miRNA 16-5p, miRNA 22-3p, miRNA 30b-5p/30c-5p, miRNA 92b-3p, miRNA 148a-3p, miRNA-150-5p, miRNA-192-5p, miRNA 215-5p, miRNA 486-3p/486-5p and miRNA-4732-3p, in a biological sample isolated from the patient. The present invention also refers to said set of 10 circulating miRNAs for its use as biomarker of prediction of cardiotoxicity risk in cancer patients receiving, or susceptible to receive, anthracyclines chemotherapy. Finally, a method for the prevention of cardiotoxicity, in patients receiving or susceptible to receive anthracyclines chemotherapy, that comprises modulating the expression levels of the set of said 10 circulating miRNAS is contemplated.

The present invention relates to the use of the editing profile of PDE8A pre-mRNA as a specific bio marker of ADARs activities in evolved primate, particularly in Human tissues. The present invention also relates to an in vitro method for predicting in Human an alteration of the mechanism of the ADARs catalysed pre-mRNA editing of target genes, by analysing the PDE8A pre-mRNA editing profile in a peripheral tissue sample containing cells expressing said PDE8A pre-mRNA, such as blood sample. The present invention is also directed to an in vitro method for the screening of potential therapeutic compound and to predict and assess therapeutic efficacy and/or efficiency or to diagnose potential severe brain or peripheral drug side effects implementing said PDE8A pre-mRNA editing profile as specific biomarker. The present invention is further directed to a method for determining the PDE8A pre-mRNA editing profile in Human, particularly by capillary electrophoresis single-strand conformation polymorphism (CE-SSCP) method after amplification by a nested PCR. Finally the invention relates to particular nucleic acid primers implemented in said nested PCR and kit comprising such sets of primers and human cells capable of expressing PDE8A and ADARs.

The present invention provides a biomarker for identifying the expression of an inflammatory-response-associated gene that specifically causes a change in expression due to exposure to 2-butanone, which is harmful and found in indoor environments, and an identification method using the same, and particularly an inflammatory-response-associated gene, the expression of which is increased or decreased by exposure to 2-butanone in a human bronchial epithelial cell line model (BEAS-2B), and a method of identifying exposure and predicting an inflammatory response using the same. The biomarker of the present invention includes specific genes selected through RNA sequencing, and thus can be useful in monitoring and determining the exposure to 2-butanone in the environment, and can be utilized as a tool predicting the mechanism of inflammatory response and toxicity caused by exposure to 2-butanone.

The invention relates to a method for the quality control of the varietal purity of seed lots by analysing sub-lots of the seeds, said control being carried out by sequencing the genes of interest.

The invention relates to methods for predicting the in vivo nephrotoxicity of a drug substance, in particular a nucleic acid molecule such as a siRNA or an antisense oligonucleotide using an in vitro cell based assay measuring the levels of extracellular EGF as toxicity biomarker, potentially in combination with other biomarkers like ATP and KIM-1.

The present disclosure relates to use of GDF-15 as a safety biomarker for determining a toxicological effect of a Mdm2 inhibitor; an ex vivo method for determining a toxicological effect of a Mdm2 inhibitor in a subject, in particular for determining a likelihood of developing thrombocytopenia in a subject in response to administration of a dose of a Mdm2 inhibitor; methods of using a Mdm2 inhibitor in the treatment of cancer in a subject; a kit for use in predicting the likelihood that a patient having cancer will develop thrombocytopenia in response to a treatment with a dose of a Mdm2 inhibitor; a kit for use in treating a patient having cancer and related disclosure embodiments.

The present disclosure relates to use of GDF-15 as a safety biomarker for determining a toxicological effect of a Mdm2 inhibitor; an ex vivo method for determining a toxicological effect of a Mdm2 inhibitor in a subject, in particular for determining a likelihood of developing thrombocytopenia in a subject in response to administration of a dose of a Mdm2 inhibitor; methods of using a Mdm2 inhibitor in the treatment of cancer in a subject; a kit for use in predicting the likelihood that a patient having cancer will develop thrombocytopenia in response to a treatment with a dose of a Mdm2 inhibitor; a kit for use in treating a patient having cancer and related disclosure embodiments.

This disclosure provides methods of detecting sub-acute rejection and other categories of rejection in kidney transplant recipients using unique sets of gene expression markers.

A method and system for predicting liver injury in vivo due to hepatocyte damage by a test compound are provided. The method includes acquiring images of fluorescently stained cells obtained from a cell culture in which the cells have been treated with a dose-range of at least the test compound and its vehicle. The cells may be hepatic cells including primary or immortalized hepatocytes, hepatoma cells or induced pluripotent stem cell-derived hepatocyte-like cells. The acquired images are segmented. The method further includes extracting and analyzing one or more phenotypic features from the segmented images, wherein the one or more phenotypic features are selected from the group of intensity, textural, morphological, or ratiometric features consisting of (a) features of DNA, (b) features of RELA (NF-KB p65), and (c) features of actin filaments at different subcellular regions and d) features of cellular organelles and their substructures in the segmented images. Finally, the method includes normalizing results from the treated samples to vehicle controls and predicting the probability of liver injury by the test compound based on test compound-induced normalized changes of the extracted and selected phenotypic features using machine learning methods.

A method for identifying and evaluating toxigenic capability of an aflatoxigenic strain. A ratio of the aflatoxin yield to Nor-1 gene transcriptional quantity is determined to have high relative stability. An Aspergillus flavus strain toxigenic capability identification model is established, and thus a regression equation between the Aspergillus flavus toxigenic capability and the ratio AFT/Nor-1 of the aflatoxin yield to the Nor-1 gene transcriptional quantity is obtained.