Abstract: Rheumatic heart disease (RHD) ranks as one of the most serious cardiovascular scourges of the past century and remains a force to be reckoned with in the developing world. Using the B-HOT panel, developed in part by our team, and based on heatmap analysis, we show two distinct transcriptomic profiles between inflammatory burden region of RHD valves patients (n=13) and control valves (without lesions, n=10). Our differential gene expression analysis between those 2 groups show several genes overexpressed in RHD group compared to control valves. Interestingly, and as potential therapeutic targets, genes related to CD20 (MS4A1. MS4A2) are among genes that are differentially expressed. Taken together, these results suggest a potential role for CD20 in inflammatory responses of RHD valves lesions. Anti-CD20 antibodies, like Rituximab (CD20), would be potential therapeutic molecules to be used on RHD patients.

Abstract: Disclosed herein are computer-implemented methods and systems for predicting transplant rejection. The methods and system may calculate a predicted probability of whether or an extent to which transplant rejection in a transplant recipient will occur may be calculated based on a score. The score may be calculated based on transplant recipient data and one or more parameter weights. The transplant recipient data may comprise transplant donor-derived cell-free DNA (dd-cfDNA) and one or more other types of parameters, such as one or more clinical parameters, one or more functional parameters, one or more immunological parameters, one or more transplant recipient characteristics, or one or more transplant characteristics. In some embodiments, the parameters used for calculating the predicted probability does not comprise a histological parameter.

Abstract: The present invention relates to the field of artificial intelligence used in the medical context. The tissue biopsy is an invasive method that is widely used to obtain histological information that are useful notably for diagnosing. The inventors have thus searched to limit such invasive character. For this, it is proposed a method for predicting the result of a tissue biopsy, which provides accurate results without carrying out a biopsy.

Abstract: Organ transplantation is currently recognised as the treatment of choice for patients with end-stage renal disease (ESRD), which is an underestimated but increasing burden worldwide. Despite the pressing need for improving patients risk stratification raised by transplant societies as well as regulatory agencies, no risk-stratification system exists that adequately predicts transplant patients' individual risk of allograft loss. This currently represents a limitation for improving patient management, as well as for defining early surrogate end points for clinical trials and development of pharmaceutical agents. The inventors now report the development and validation of an integrative risk prediction score to predict kidney allograft survival of individual patients (NCT03474003).

Abstract: The present invention relates to method for predicting acute rejection in heart recipients. In particular, the present invention relates to a method for predicting acute rejection in a heart recipient comprising the steps consisting of i) determining the expression level (ELi) of at least one miRNAi selected from the group consisting of miR-155, miR-10a, miR-92a and miR-31 in a blood sample obtained from the heart recipient, ii) comparing the expression level (ELi) determined at step i) with a predetermined reference level (ELRi) and iii) and concluding that the recipient has a high risk of developing acute rejection when the level the expression level (ELi) determined at step i) is different (higher or lower) than the predetermined reference level (ELRi).