The NLRP3 Inflammasome Promotes Renal Inflammation and Contributes to CKDAkosua Vilaysane, Justin Chun, Mark E. Seamone et al.|Journal of the American Society of Nephrology|2010 Inflammation significantly contributes to the progression of chronic kidney disease (CKD). Inflammasome-dependent cytokines, such as IL-1β and IL-18, play a role in CKD, but their regulation during renal injury is unknown. Here, we analyzed the processing of caspase-1, IL-1β, and IL-18 after unilateral ureteral obstruction (UUO) in mice, which suggested activation of the Nlrp3 inflammasome during renal injury. Compared with wild-type mice, Nlrp3(-/-) mice had less tubular injury, inflammation, and fibrosis after UUO, associated with a reduction in caspase-1 activation and maturation of IL-1β and IL-18; these data confirm that the Nlrp3 inflammasome upregulates these cytokines in the kidney during injury. Bone marrow chimeras revealed that Nlrp3 mediates the injurious/inflammatory processes in both hematopoietic and nonhematopoietic cellular compartments. In tissue from human renal biopsies, a wide variety of nondiabetic kidney diseases exhibited increased expression of NLRP3 mRNA, which correlated with renal function. Taken together, these results strongly support a role for NLRP3 in renal injury and identify the inflammasome as a possible therapeutic target in the treatment of patients with progressive CKD.
Alum interaction with dendritic cell membrane lipids is essential for its adjuvanticityClostridium difficile Toxin–Induced Inflammation and Intestinal Injury Are Mediated by the InflammasomeAnti-BK Virus Mechanisms of Sirolimus and Leflunomide Alone and in Combination: Toward a New Therapy for BK Virus InfectionBACKGROUND: Human BK polyomavirus is the causative agent of BK nephropathy which is now the leading cause of early renal graft loss. Although no randomized clinical trials have supported this therapy, reduction of immunosuppressive drugs is the current BK nephropathy treatment. We hypothesized that inhibition of the intracellular protein kinase pathways activated by BK virus may be a more effective therapeutic strategy than reduction of immunosuppression. METHODS AND RESULTS: Four days after infection of renal epithelial cells lines CCD1103, CCD1105 and human primary tubular epithelial cells with BK virus, we found increased phosphorylation of 3'-phosphoinositide-dependent kinase-1 (PDK-1), the protein kinase Akt (Akt), mammalian target of rapamycin (mTOR), and 70 kDa ribosomal protein S6 kinase (p70S6K). To inhibit this pathway, we used sirolimus, which repressed p70S6K phosphorylation and reduced BK virus large T antigen expression in a dose-dependent manner. We then used the tyrosine kinase inhibitor leflunomide (using the active metabolite A77 1726), which decreased PDK1 and Akt phosphorylation and inhibited BK virus genome replication and early gene expression. The combination of sirolimus and leflunomide inhibited BK virus genome replication, large T antigen expression, PDK1, Akt, mammalian target of rapamycin, and p70S6K phosphorylation. CONCLUSIONS: On the basis of these results, we suggest that inhibition of protein kinase pathways with a combination of sirolimus and leflunomide may be an effective therapy for BK virus reactivation. Because both sirolimus and leflunomide possess immunosuppressive activity, combination therapy may reduce BK pathogenesis while maintaining appropriate transplant immunosuppression.
Artificial intelligence and machine learning in ophthalmology: A reviewOjas Srivastava, Matthew Tennant, Parampal S. Grewal et al.|Indian Journal of Ophthalmology|2022 Since the introduction of artificial intelligence (AI) in 1956 by John McCarthy, the field has propelled medicine, optimized efficiency, and led to technological breakthroughs in clinical care. As an important frontier in healthcare, AI has implications on every subspecialty within medicine. This review highlights the applications of AI in ophthalmology: a specialty that lends itself well to the integration of computer algorithms due to the high volume of digital imaging, data, and objective metrics such as central retinal thickness. The focus of this review is the use of AI in retina, cornea, anterior segment, and pediatrics.