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Background and Aims Autosomal Dominant Polycystic Kidney Disease (ADPKD) is the most common inherited renal cystic disease. It is genetically heterogeneous: 72-75% of ADPKD cases are related to mutations in the PKD1, 15-18 % to PKD2 and the remaining 7–10% of affected are genetically unresolved (GUR). Recent years, new drugs have emerged as promising agents that may retard the progression of ADPKD, such as Tolvaptan. In Italy Tolvaptan is available since 2016 and commonly used since 2017 in ADPKD patients, which fulfill the criteria of “rapid disease progression”, according to the European recommendations. High intra-interfamilial variability in pedigrees was observed, despite the same germ-line mutation. This could be explained by other clinical or genetic factors (environmental, modifier genes, etc), that may affect disease severity. The aim of the study is to describe the genetic variants in a cohort of Tolvaptan ADPKD patients (pts) referral to Renal Genetic Disease Ambulatory of Nephrology Department. Method Patients with ADPKD and in Tolvaptan treatment were enrolled. Diagnosis of ADPKD was made upon the revised Ravine’s criteria and Eligibility Criteria for Tolvaptan was made upon Italian indication for Tolvaptan prescription according to Italian Medicine Agency (AIFA) and European Medicines Agency (EMA). We performed genetic analysis (PKD1, PKD2 and PKHD1 genes) to identify mutations by NGS capture-based target enrichment kit (Sophia Genetic™), sequencing on Illumina MySeq Platform® and Sanger Sequencing on 3500 Series Genetic Analyzer (Applied Biosystems™). Results Eighteen pts [median age 46 (IQR 39-48) yrs ], 12 male, were included in the analysis. We manage to perform genetic analysis in all pts. Genetic analysis was essential in 4 patients without family history for Tolvaptan eligibility. Sixteen pts (88,9%) have mutations in PKD1, confirming what is already known from the literature for rapid progressor subjects; 2 pts are characterized by PKD2 mutations, both truncating. In only one pt, concomitant with a PKD1 mutation, also a PKHD1 mutation was found. In order to better characterize the cohort it was decided to subdivide the pts into 3 groups, by gene involvement and mutation type: 1st group: 12 Subjects with truncated PKD1 mutation (66.7%). In 7 pts (58,3%) the mutations are within exons (5 and from exon 11 to 15 inclusive) that encode for Immunoglobulin-like repeats or PKD domain of Polycystin 1 (PC1). 2nd group: 4 Subjects with non-truncated PKD1 mutations (22.2%). 3 pts (75.0%) are characterized by missense variants, as previous studies highlighted (a higher percentage of missense mutations in subjects with non-truncating mutations). In 2 pts (50%) the mutations are within exons (2 and 6) that encode for C-type lectin domain (CTLs) di PC1 and typical domain of extracellular protein. 3rd group: 2 Subjects with a PKD2 mutation (11.1%), both truncating. These data confirmed the lower mutation rate of PKD2 compared to PKD1 and highlighted an effective prevalence of truncation mutations in rapid disease progressors as previous reported. Conclusion Although our cohort of patients is small, we manage to perform genetic analysis in all pts reaching a detection rate of 100%. In 9 of 16 pts (56,3%) with PKD1 mutation the presence of mutations in exons coding PKD domain in PC1 or Immunoglobulin-like repeats or typical domain of extracellular protein allows us to hypothesize that the resulting alteration of the polycystin-mediated cell recognition and communication processes play a crucial role in the pathogenesis of ADPKD.

Backgroundː Chronic kidney disease stage G5 (CKD G5) patients show an activated but impaired immune system. One function of the FOXP3+ regulatory T (Treg) cells is to preserve tolerance to self while maintaining the ability to fight infectious agents. The aim of this pilot study is to evaluate longitudinal changes in Treg cells before and 1 month after the first dialysis treatment. Materials and methodsː CKD G5 patients not yet on dialysis were enrolled and started on hemodialysis (HD) or peritoneal dialysis (PD). Tregs were analyzed by flow cytometry at two time points: T0 (before the first dialysis treatment) and T1 (1 month after the first dialysis session). Wilcoxon test for dependent samples was used to compare the mean percentage difference between T0 and T1: Δ% = 100 × [(T1 - T0) / T0]. Resultsː 21 patients were enrolled: 8 on HD and 13 on PD. The proportion of total lymphocytes (low side scatter lymphocyte gate) and T lymphocytes (in the CD3+CD4+ gate) did not change significantly 1 month after the start of dialysis in both groups. Treg cells (as CD25+FOXP3+, FOXP3+, or CD25+CD127-), analyzed as percentage of the lymphocyte gate, showed a significant increase post PD (CD25+FOXP3+: median = 35.92; p = 0.0425; FOXP3+: median = 30.85; p = 0.0479 and CD25+CD127-: median = 23.71; p = 0.0215). The same populations, did not change 1 month after the first dialysis session. Conclusionː Our study is the first to evaluate longitudinal effects of dialysis on Treg cells in uremia and suggests that PD was more effective in increasing Treg levels 1 month post initiation of dialysis and may contribute to improvement of inflammatory status. Thus, PD may contribute to better outcomes for patients with renal dysfunction, also maintaining homeostasis of peritoneal and renal tissues.

BackgroundAcute kidney injury (AKI) occurs commonly in the intensive care unit (ICU). Insulin-like growth factor-binding protein 7 (IGFBP7) and tissue inhibitor of metalloproteinase-2 (TIMP-2), known as [TIMP-2] x [IGFBP7] (NephroCheck), have been identified as novel biomarkers for the prediction of AKI risk. However, the effective use of disease biomarkers is indispensable from an appropriate clinical context. We conducted a retrospective cohort study to find risk factors and assess the performance of the combination of NephroCheck with risk factors, so as to provide feasible information for AKI prediction.MethodsAll patients who were admitted in the ICU (from June 2016 to July 2017) participated in the study. The primary outcome was the detection of severe AKI within the first 7 days after patients being admitted to the ICU. The predictors were separated into three categories: chronic risk factors, acute risk factors and biochemical indicators.ResultsThe study included 577 patients. 96 patients developed to severe AKI (16.6%) within 7 days. In addition to NephroCheck (+) (OR = 2.139, 95% CI (1.260–3.630),P = 0.005), age > 65 years (OR = 1.961, 95% CI (1.153–3.336),P = 0.013), CKD (OR = 2.573, 95% CI (1.319–5.018),P = 0.006) and PCT (+)(OR = 3.223, 95% CI (1.643–6.321),P = 0.001) were also the independent predictors of severe AKI within 7 days. Compared to NephroCheck (+) only (AUC = 0.66, 95% CI:0.60–0.72), the combination of NephroCheck (+) and risk factors (age > 65 years, CKD and PCT positive) (AUC = 0.75, 95% CI:0.70–0.81) led to a significant increase in the area under ROC curve for severe AKI prediction within 7 days.ConclusionsAlthough NephroCheck is an effective screening tool for recognizing high-risk patients, we found that combination with biomarker and risk factors (age > 65 years, CKD, procalcitonin positive) for risk assessment of AKI has the greatest significance to patients with uncertain disease trajectories.

Background and Aims Uremic toxins are markedly accumulated in chronic kidney disease (CKD) patients. Among these two protein-bound compounds, indoxyl sulfate (IXS) and p-cresyl sulfate (PCS) derived from gut bacterial transformation, play an important role. Recent evidences demonstrate their toxic effects in vitro and may contribute in vivo to CKD progression and mortality in uremic patients. For this reason, bacterial metabolism and its metabolites are therapeutic targets in CKD. While, several studies have evaluated possible associations between these two compounds and renal function decline in CKD, while no study has evaluated them according to the stage of progression (CKD stage). In this study, PCS and IXS are considered to highlight the possible role as biomarkers in the prediction of renal function and CKD progression (GFR stage 1-5). Method In our observational, prospective study we evaluated total (t) and free (f) PCS and IXS plasmatic fractions using Ultra High Performance Liquid Chromatography Infinity 1260 (Agilent technologies) coupled to an API 3200™ triple quadrupole mass spectrometry (ABSciex). Data were shown as mean ± SD or median (25th-75th). Statistical analysis was done by SPSS version 24.0 Results We evaluated 80 CKD patients: 54.68 ± 12.88 yrs, 39 F and 41 M. The median creatinine was 1.58 (0.90-3.32) mg/dL, median urea 58.50 (42.0-121.25) mg/dL and eGFR (CKD-EPI) 42 (17.25-85.75) mL/min/1.73 m2. On the table 1, it was summarized the levels of PCS and IXS in all patients and classified by GFR (G) stages. We found the statistically significant increase of total and free fractions of PCS (p Moreover, the increase of PCS and IXS predicts the eGFR decline significantly, according to the linear regression model using eGFR as dependent variable: PCSt (R-squared (R2)= 0.34, p Conclusion In conclusion, in our study we show the strong correlations between and PCS and IXS and eGFR and we found the significantly increase of PCS and IXS (total and free) with the progression of CKD in all G stage (1-5). We highlight the use of mass spectrometry in the evaluation of renal function especially in the earliest stages of CKD with the possibility of measuring minimum concentrations of PCSf and IXSf. Assuming the predictive value of PCS and IXS towards the reduction of eGFR, we could hypothesize the identification of cut-offs based on confidence intervals, for the prediction and progression of renal function impairment.

BackgroundBiomarkers can play a critical role by facilitating diagnosis and stratification of disease, as well as assessment or prediction of disease severity. Urinary tissue inhibitor of metalloproteinase-2 and insulin-like growth factor binding protein 7 product ([TIMP-2] × [IGFBP7]) predict the development and progression of AKI and recently procalcitonin (PCT), a widely used biomarker for sepsis diagnosis and management, has been associated with AKI occurrence in ICU patients. To assess combinations of [TIMP-2] × [IGFBP7] and PCT results for prediction and risk stratification of short-term outcomes in septic and non-septic patients, a retrospective cohort analysis of critically ill patients was performed in a multidisciplinary ICU. ROC curve analysis was used in order to evaluate predictive performance of combined results of [TIMP-2] × [IGFBP7] and PCT at the time of admission for AKI development. To verify the utility of adding [TIMP-2] × [IGFBP7] and PCT results for risk assessment, we evaluated the predictive value of having a single-marker positivity compared to a double-marker positivity using the widely used cut-off of 0.3 (ng/mL)2/1000 for [TIMP-2] × [IGFBP7] and 0.5 μg/L for PCT. Risk assessment for AKI occurrence within 48 h, acute kidney disease (AKD) and mortality at 7 days was performed by logistic/Cox regression analysis.Results433 patients were analysed, of whom 168 had AKI within 48 h (93 septic and 65 non-septic patients). Combination of [TIMP-2] × [IGFBP7] and PCT showed a good predictive ability for AKI occurrence (AUC 0.81, 95% CI 0.77–0.86,p p p = 0.001).ConclusionsAlthough combining the results of [TIMP-2] × [IGFBP7] and PCT may be a useful tool to identify and stratify ICU patients at high risk for septic AKI and short-term adverse outcomes, data should be confirmed in a large prospective study.

In chronic kidney disease patients on dialysis (CKD-G5D) accurate assessment of glycemic control is vital to improve their outcome and survival. The best glycemic marker for glucose control in these patients is still debated because several clinical and pharmacological factors may affect the ability of the available biomarkers to reflect the patient's glycemic status properly. This review discusses the role of glycated albumin (GA) both as a biomarker for glucose control and as a prognostic factor in CKD-G5D; it also looks at the pros and cons of GA in comparison to the other markers and its usefulness in hemodialysis and peritoneal dialysis.

Background Acute rejection (AR) is one of the most frequent complications after kidney transplantation (KT). Scientific evidence reports that some single-nucleotide polymorphisms (SNPs) located in genes involved in the immune response and in the pharmacokinetics and pharmacodynamics of immunosuppressive drugs are associated with rejection in renal transplant patients. The aim of this study was to evaluate some SNPs located in six genes: interleukin-10 (IL-10), tumor necrosis factor (TNF), adenosine triphosphate-binding cassette sub-family B member 1 (ABCB1), uridine diphosphate glucuronosyltransferase family 1 member A9 (UGT1A9), inosine monophosphate dehydrogenase 1 (IMPDH1) and IMPDH2. Methods We enrolled cases with at least one AR after KT and two groups of controls: patients without any AR after KT and healthy blood donors. Genetic analysis on DNA was performed. The heterozygosity (HET) was determined and the Hardy-Weinberg equilibrium (HWE) test was performed for each SNP. The sample size was calculated using the QUANTO program and the genetic associations were calculated using the SAS program (SAS Institute Inc., Cary, NC, USA). Results In our previous preliminary study (sample size was not reached for cases), the results showed that patients with the C allele in the SNP rs1045642 and the A allele in the SNP rs2032582 of the ABCB1 gene had more frequent AR. In contrast, with the achievement of sample size, the trend of the previous data was not confirmed. Conclusions Our study highlights a fundamental aspect of scientific research that is generally presumed, i.e. the sample size of groups enrolled for a scientific study. We believe that our study will make a significant contribution to the scientific community in the discussion of the importance of the analysis and the achievement of sample size to evaluate the associations between SNPs and the studied event.

Background: Cardiac surgery is a leading cause of acute kidney injury (AKI). Such AKI patients may develop progressive chronic kidney disease (CKD). Others, who appear to have sustained no permanent loss of function (normal serum creatinine), may still lose renal functional reserve (RFR). Methods: We extended the follow-up in the observational 'Preoperative RFR Predicts Risk of AKI after Cardiac Surgery' study from hospital discharge to 3 months after surgery for 86 (78.2%) patients with normal baseline estimated glomerular filtration rate (eGFR), and re-measured RFR with a high oral protein load. The primary study endpoint was change in RFR. Study registration at clinicaltrials.gov Identifier: NCT03092947, ISRCTN Registry: ISRCTN16109759. Results: At 3 months, three patients developed new CKD. All remaining patients continued to have a normal eGFR (93.3 ± 15.1 mL/min/1.73 m2). However, when stratified by post-operative AKI and cell cycle arrest (CCA) biomarkers, AKI patients displayed a significant decrease in RFR {from 14.4 [interquartile range (IQR) 9.5 - 24.3] to 9.1 (IQR 7.1 - 12.5) mL/min/1.73 m2; P

BACKGROUND Autosomal dominant polycystic kidney disease (ADPKD) is the most common hereditary kidney disease. Studies have suggested a possible prognostic role of copeptin in determining the rate of progressive kidney function decline in ADPKD patients. However, it remains unresolved whether the changes in copeptin levels are specific for ADPKD or merely reflect a decline in glomerular filtration rate (GFR) regardless of the etiology of chronic kidney disease (CKD). METHODS We performed a case-control study in ADPKD and non-ADPKD (control) patients. Patients were categorized based on the GFR-category (G-stage, KDIGO). We evaluated urea, creatinine, cystatin C, and copeptin in plasma and correlated these levels with estimated glomerular filtration rate (eGFR) (CKD-EPI). All p-values were two sided, and p

Aims: The study aimed to determine whether the available literature supports a positive or negative influence of dialysis on regulatory T-cells (Tregs). Methods: We performed a systematic search and a meta-analysis. Mean differences in Tregs number of chronic kidney disease stages G5 on dialysis patients (CKD G5D) and healthy controls (HCs) were compared. Random effects model was applied. The software used was general package for meta-analysis (version 4.3-0, depends R (≥2.9.1)). Results: Five studies were included in the meta-analysis. The mean difference in percentage of Tregs on CD4+ T-cells between CKD G5D and HCs was not statistically different. Moreover, CKD GFR stages G5 not on dialysis (CKD G5) versus HC (p = 0.002; mean difference in Treg percentage was -2.47% in CKD G5 vs. HC) and CKD G5 versus CKD G5D (not significant). Conclusion: This meta-analysis demonstrates an association between the uremic state and lower Tregs, and supports the hypothesis that hemodialysis alter Tregs. Our findings highlight the need for new clinical studies. Video Journal Club ‘Cappuccino with Claudio Ronco' at http://www.karger.com/?doi=449242.

Although acute kidney injury (AKI) frequently complicates cardiac operations, methods to determine AKI risk in patients without underlying kidney disease are lacking. Renal functional reserve (RFR) can be used to measure the capacity of the kidney to increase glomerular filtration rate under conditions of physiologic stress and may serve as a functional marker that assesses susceptibility to injury. We sought to determine whether preoperative RFR predicts postoperative AKI.We enrolled 110 patients with normal resting glomerular filtration rates undergoing elective cardiac operation. Preoperative RFR was measured by using a high oral protein load test. The primary end point was the ability of preoperative RFR to predict AKI within 7 days of operation. Secondary end points included the ability of a risk prediction model, including demographic and comorbidity covariates, RFR, and intraoperative variables to predict AKI, and the ability of postoperative cell cycle arrest markers at various times to predict AKI.AKI occurred in 15 patients (13.6%). Preoperative RFR was lower in patients who experienced AKI (p 0.001) and predicted AKI with an area under the receiver operating characteristic curve (AUC) of 0.83 (95% confidence interval [CI]: 0.70 to 0.96). Patients with preoperative RFRs not greater than 15 mL · minAmong elective cardiac surgical patients with normal resting glomerular filtration rates, preoperative RFR was highly predictive of AKI. A reduced RFR appears to be a novel risk factor for AKI, and measurement of RFR preoperatively can identify patients who are likely to benefit from preventive measures or to select for use of biomarkers for early detection. Larger prospective studies to validate the use of RFR in strategies to prevent AKI are warranted. ClinicalTrials.gov identifier: NCT03092947, ISRCTN Registry: ISRCTN16109759.

Autosomal dominant polycystic kidney disease (ADPKD) is one of the most common genetic diseases with a reported prevalence of 1:400 to 1:1000. Since the intact kidneys can compensate for the loss of glomerular filtration in ADPKD patients, renal insufficiency usually remains undetected until almost the fourth decade of life. Hereafter, reliable diagnostic and prognostic biomarkers to identify ADPKD progression are urgently needed. Several studies and systematic reviews tried to identify markers or predictors of rapid disease progression of ADPKD. The aim of this study is to review predictors of rapid disease progression of ADPKD that can be useful to the clinician. We will describe several factors associated with rapid progression of ADPKD derived from retrospective or cross-sectional studies, suggesting the best and most useful predictors that may help to patients management in clinical practice. We will attempt to identify the most useful predictors of rapid disease progression of ADPKD: established TKV growth rate >5% per year, annual estimated glomerular filtration rate decline >5 mL/min/1.73 m2, truncating PKD1 mutations and elevated plasma copeptin level. The combination of several factors that can predict the rapid ADPKD progression is more accurate than a single-marker strategy. The "PRO-PKD" risk scoring system combined with TKV, can be useful in order to evaluate the ADPKD patients and they appear to be appropriate predictors of progression disease. Moreover levels of copeptin and some urinary markers can be matched to these factors for improved patient assessment in rapid progression.