Rabbit Anti-Human FcgRI Polyclonal Antibody Knockout Validated

Background: Antibody-mediated rejection, a leading cause of renal allograft graft failure, is diagnosed by histological assessment of invasive allograft biopsies. Accurate non-invasive biomarkers are not available. Methods: In the multicentre, prospective BIOMARGIN study, blood samples were prospectively collected at time of renal allograft biopsies between June 2011 and August 2016 and analyzed in three phases. The discovery and derivation phases of the study (N= 117 and N = 183 respectively) followed a case-control design and included whole genome transcriptomics and targeted mRNA expression analysis to construct and lock a multigene model. The primary end point was the diagnostic accuracy of the locked multigene assay for antibody-mediated rejection in a third validation cohort of serially collected blood samples (N = 387). This trial is registered with ClinicalTrials.gov, number NCT02832661. Findings: We identified and locked an 8-gene assay (CXCL10, FCGR1A, FCGR1B, GBP1, GBP4, IL15, KLRC1 ,TIMP1) in blood samples from the discovery and derivation phases for discrimination between cases with (N = 49) and without (N = 134) antibody-mediated rejection. In the validation cohort, this 8-gene assay discriminated between cases with (N = 41) and without antibody-mediated rejection (N = 346) with good diagnostic accuracy (ROC AUC 79.9%; 95% CI 72.6 to 87.2, p < 0.0001). The diagnostic accuracy of the 8-gene assay was retained both at time of stable graft function and of graft dysfunction, within the first year and also later after transplantation. The 8-gene assay is correlated with microvascular inflammation and transplant glomerulopathy, but not with the histological lesions of T-cell mediated rejection. Interpretation: We identified and validated a novel 8-gene expression assay that can be used for non-invasive diagnosis of antibody-mediated rejection. (C) 2019 The Authors. Published by Elsevier B.V.

This study aimed to explore crucial genes that contribute to the development of rheumatoid arthritis (RA). Three GSE77298, GSE55457, and GSE55235 data sets were used to analyze the differentially expressed genes (DEGs) between RA synovial membrane tissue samples and normal synovial membrane tissue samples. Then, the functional enrichment analysis and protein-protein interactions (PPIs) construction were performed for DEGs. Subsequently, submodule analysis and regulatory network that contained transcription factors (TFs), microRNAs, and their targets were conducted. Finally, small-molecule drugs related to the DEGs were predicted. A total of 173 upregulated and 54 downregulated DEGs identified in at least 2 of 3 data sets. TYROBP, CTSS, MMP9, CXCR4, and CXCL10 were both highlighted in the PPI and submodule networks. In addition, miR-101, IRF1 TF, DUSP1, and CXCR4 had high degree in the regulatory network, and regulation pairs of miR-101-DUSP1 and IRF1 TF-CXCR4 were obtained. Drugs such as alemtuzumab and marimastat were negatively related to expression of the DEGs and might be useful drugs for RA treatment. In addition, most DEGs were involved in innate immune response (e.g., TYROBP, CCL5, CXCL10, FCGR1A, and FCGR3B) and phagosome pathway (e.g., CTSS). We suggested that miR-101 that regulated DUSP1, IRF1 TF that regulated CXCR4, as well as DEGs as TYROBP and CTSS might contribute to the RA pathogenesis. In addition, anti-inflammatory agent alemtuzumab and matrix metalloproteinase inhibitor marimastat might be useful drugs for RA treatment through functioning on their target genes.