Caveolin-1 single-nucleotide polymorphism and arterial stiffness in non-dialysis chronic kidney disease.

BACKGROUND: Arteriosclerosis is an independent predictor of increased cardiovascular mortality in chronic kidney disease (CKD). Histologically it is characterized by hypertrophy and fibrosis of the arterial media wall leading to increased arterial stiffness and end-organ damage. Caveolin-1 acts as an intracellular signalling pathway chaperone in human fibrotic and vascular diseases. The purpose of this study was to assess the association between caveolin-1 (CAV1) single-nucleotide polymorphism (SNP) rs4730751 and arterial stiffness as measured by arterial pulse wave velocity (PWV) in an early-stage CKD cohort and in a cohort with more severe CKD. METHODS: Two prospectively maintained patient cohorts with non-dialysis CKD were studied: 144 patients in the Chronic Renal Impairment in Birmingham (CRIB) cohort and 147 patients in the Renal Impairment in Secondary Care (RIISC) cohort, with matched exclusion criteria and DNA sampling availability. At entry to each cohort database, each patient's initial arterial PWV was measured, as well as their anthropomorphic and biochemical data. CAV1 rs4730751 SNP genotyping was performed using Taqman technology. RESULTS: The CAV1 rs4730751 SNP CC genotype was associated with lower arterial PWV in both CRIB early stage CKD patients [8.1 versus 8.6 m/s; coefficient -0.780 (-1.412, -0.149); P = 0.016] and RIISC more advanced stage CKD patients [8.7 versus 9.4 m/s; coefficient -0.695 (-1.288, -0.102); P = 0.022]; these relationships held following adjustment for other important confounders. CONCLUSIONS: This replicated study suggests potential utility of the studied CAV1 SNP as a genetic biomarker in CKD and a role for CAV1 in the development of arteriosclerosis in this setting. Further studies are warranted to further explore the basic science driving these clinical observations.

Electrophysiological Characterization of Inducible Pluripotent Stem Cell-Derived Human ß-Like Cells and an SLC30A8 Disease Model.

Inducible pluripotent stem cell-derived human ß-like cells (BLCs) hold promise for both therapy and disease modeling, but their generation remains challenging and their functional analyses beyond transcriptomic and morphological assessments remain limited. Here, we validate an approach using multicellular and single-cell electrophysiological tools to evaluate function of BLCs from pioneer protocols that can be easily adapted to more differentiated BLCs. The multi-electrode arrays (MEAs) measuring the extracellular electrical activity revealed that BLCs, like primary ß-cells, are electrically coupled and produce slow potential (SP) signals that are closely linked to insulin secretion. We also used high-resolution single-cell patch clamp measurements to capture the exocytotic properties, and characterize voltage-gated sodium and calcium currents, and found that they were comparable with those in primary ß- and EndoC-ßH1 cells. The KATP channel conductance is greater than in human primary ß-cells, which may account for the limited glucose responsiveness observed with MEA. We used MEAs to study the impact of the type 2 diabetes-protective SLC30A8 allele (p.Lys34Serfs50*) and found that BLCs with this allele have stronger electrical coupling activity. Our data suggest that BLCs can be used to evaluate the functional impact of genetic variants on ß-cell function and coupling.

Electrophysiological characterisation of iPSC-derived human ß-like cells and an SLC30A8 disease model.

iPSC-derived human ß-like cells (BLC) hold promise for both therapy and disease modelling, but their generation remains challenging and their functional analyses beyond transcriptomic and morphological assessments remain limited. Here, we validate an approach using multicellular and single cell electrophysiological tools to evaluate BLCs functions. The Multi-Electrode Arrays (MEAs) measuring the extracellular electrical activity revealed that BLCs are electrically coupled, produce slow potential (SP) signals like primary ß-cells that are closely linked to insulin secretion. We also used high-resolution single-cell patch-clamp measurements to capture the exocytotic properties, and characterize voltage-gated sodium and calcium currents. These were comparable to those in primary ß and EndoC-ßH1 cells. The KATP channel conductance is greater than in human primary ß cells which may account for the limited glucose responsiveness observed with MEA. We used MEAs to study the impact of the type 2 diabetes protective SLC30A8 allele (p.Lys34Serfs*50) and found that BLCs with this allele have stronger electrical coupling. Our data suggest that with an adapted approach BLCs from pioneer protocol can be used to evaluate the functional impact of genetic variants on ß-cell function and coupling.

Genetic predictors of long-term graft function in kidney and pancreas transplant patients.

Kidney and pancreas transplantation have helped transform the lives of people with end-stage renal failure and individuals with type 1 diabetes who have poor glycaemic control/severe secondary complications, respectively. Despite an improvement in immunosuppressive regimes, operative techniques and decreased initial rejection rates, there has been little improvement in long-term graft survival rates over the past decade. Whilst limited progress has been made in establishing clinical markers of graft function, several genetic markers of long-term graft function have been identified. These genetic markers have the potential to (i) assist in selecting marginal donor organs for transplantation, (ii) provide better understanding of the mechanisms behind graft loss enabling identification of new, or repurposing, current treatments to extend graft function and (iii) provide a window of opportunity to identify and treat individuals before graft failure has occurred. This review will discuss the different genetic variants screened for a role in predicting transplant longevity, examine their findings and limitations and introduce where the future of genetic research within the transplantation field lies.