Renal Failure最新文献

Objectives: To investigate glymphatic function in nondialysis-dependent ESRD (ND-ESRD) patients with diabetic kidney disease (DKD) or non-DKD using the diffusion tensor image analysis along the perivascular space (DTI-ALPS) method and choroid plexus (CP) volume to explore the associations among DTI-ALPS index, CP volume, clinical characteristics, and cognitive function.

Methods: 25 DKD patients, 25 non-DKD patients, and 25 healthy control (HC) were included in this study. All participants underwent cerebral MRI and cognitive assessments. Bilateral DTI-ALPS index and CP volume were calculated and were compared among three groups. Correlations among the DTI-ALPS index, CP volume, clinical characteristics, and cognitive function were analyzed.

Results: DKD patients had significantly lower left DTI-ALPS index (p = 0.001) and mean DTI-ALPS index (p = 0.003) than non-DKD patients. In ND-ESRD patients, there was a significant positive correlation between the left DTI-ALPS index and phosphorus (r = 0.377, p = 0.007) and attention score (r = 0.434, p = 0.002). In DKD group, the mean DTI-ALPS was positively correlated with total cholesterol (r = 0.631, p = 0.001). In non-DKD group, there was a significant positive correlation between the left DTI-ALPS index and phosphorus (r = 0.696, p < 0.001). Both DKD and non-DKD patients exhibited significant higher CP volume than HC group. In non-DKD group, CP volume was negatively correlated with mean DTI-ALPS (r = -0.535, p = 0.006) and attention score of MoCA (r = -0.538, p = 0.006).

Conclusions: Glymphatic system dysfunction may contribute to the pathogenesis of clinical and cognitive impairment in ND-ESRD patients especially with DKD.

Anti-human thymocyte globulin-Fresenius (ATG-F) is frequently utilized to achieve successful induction for kidney transplantation recipients. This study aimed to examine the association between the ATG-F dose-to-recipient-weight ratio (ADR) and the risk of developing urinary tract infections (UTIs) following kidney transplantation. Data of kidney transplant recipients who underwent ATG-F-induction peri-operatively in a medical center were retrospectively collected, and the incidence of UTIs during the first postoperative year was also recorded. The risk of UTI associated with ADR was analyzed, and receiver operating characteristic curves were drawn to determine the optimal ADR, followed by Cox regression models. In total, 131 recipients were included, with an UTI incidence of 19.08% and a mean interval of 3.08 months. The optimal ADR was 6.34, involving 41 and 90 patients in the low ADR and high ADR groups, respectively. The UTI-free rate in the low ADR group was significantly higher than that in the high ADR group (p = 0.007). Cox regression analysis indicated that a high ADR independently increased the risk of UTI following kidney transplantation (hazard ratio: 5.306, 95% confidence interval: 1.243-22.660, p = 0.024). There was no significant difference in rejection rate between the high ADR and low ADR groups. In conclusion, a high ADR increased the incidence of early postoperative UTI among kidney transplant recipients.

Chronic disease progression models are available for several highly prevalent conditions. For chronic kidney disease (CKD), the scope of existing progression models is limited to the risk of kidney failure and major cardiovascular (CV) events. The aim of this project was to develop a comprehensive CKD progression model (CKD-PM) that simulates the risk of CKD progression and a broad range of complications in patients with CKD. A series of literature reviews informed the selection of risk factors and identified existing risk equations/algorithms for kidney replacement therapy (KRT), CV events, other CKD-related complications, and mortality. Risk equations and transition probabilities were primarily sourced from publications produced by large US and international CKD registries. A patient-level, state-transition model was developed with health states defined by the Kidney Disease Improving Global Outcomes categories. Model validation was performed by comparing predicted outcomes with observed outcomes in the source cohorts used in model development (internal validation) and other cohorts (external validation). The CKD-PM demonstrated satisfactory modeling properties. Accurate prediction of all-cause and CV mortality was achieved without calibration, while prediction of CV events through CKD-specific equations required implementation of a calibration factor to balance time-dependent versus baseline risk. Predicted annual changes in estimated glomerular filtration rate (eGFR) and urine albumin-creatinine ratio were acceptable in comparison to external values. A flexible eGFR threshold for KRT equations enabled accurate prediction of these events. This CKD-PM demonstrated reliable modeling properties. Both internal and external validation revealed robust outcomes.

Background: Secondary hyperparathyroidism (SHPT) is a prevalent chronic complication in patients undergoing hemodialysis. Parathyroidectomy (PTX) is crucial for reducing mortality and improving the prognosis in the treatment of refractory hyperparathyroidism. However, it is often associated with a number of postoperative complications such as postoperative hypotension, hyperkalemia, and hungry bone syndrome. A previous study demonstrated that low blood pressure influences the patency of autogenous arteriovenous fistulas (AVF). Few studies have examined AVF dysfunction following PTX. This study aimed to identify and describe the risk variables associated with AVF dysfunction after PTX.

Methods: Cases of AVF dysfunction after PTX between 2015 and 2021 were studied. Four controls were identified for each patient and were matched for sex and age. Biochemical parameters and blood pressure of the patients before and after PTX were recorded. Risk factors for AVF dysfunction after PTX were identified using conditional logistic regression analysis.

Results: Sixteen patients and 64 controls were included in this study. Baseline demographic and laboratory data were compared. Patients in the AVF dysfunction group had lower levels of postoperative calcium than the controls. After surgery, calcium levels decreased more in patients with AVF dysfunction than in the control group. The decrease in systolic blood pressure (ΔSBP) after PTX was greater in the AVF dysfunction group than that in the control group. For each 1 mmHg increment in ΔSBP, the risk of AVF dysfunction after surgery increased by 11.6% (OR = 1.116, 95% CI, 1.005-1.239, p = .040). The likelihood of developing AVF dysfunction after surgery was twelvefold higher in diabetic patients than in non-diabetic patients (OR = 12.506, 95% CI, 1.113-140.492, p = .041). Among patients with ΔSBP > 5.8 mmHg after PTX, the AVF failure rate was significantly greater in patients with diabetes than in those without diabetes. Patients with a history of AVF failure had a nine-fold higher risk of developing AVF dysfunction (OR = 9.143, 95% CI, 1.151-72.627, p = .036). Serum albumin, hemoglobin, ΔiPTH, and age were not independent predictors of AVF dysfunction. The cutoff value for SBP was 5.8 mmHg, as determined by the Youden index of the receiver operating characteristic curve.

Conclusion: Decreased systolic blood pressure (ΔSBP) after PTX, diabetes, and AVF failure history were risk factors for AVF dysfunction following PTX in patients with SHPT. Diabetes patients with ΔSBP > 5.8 mmHg were more prone to AVF dysfunction after PTX.

Aim: This study explored the effect and mechanism of MAFF and HDAC6 on renal fibrosis and inflammation in lupus nephritis (LN).

Methods: IL-33 treated renal epithelial cells and MRL/lpr mice were respectively used for in vitro and in vivo experiments. The expressions of HDAC6, MAFF, and KLF5 were measured in cells and renal tissues. Before and after cell transfection, the morphological changes in renal tissues were observed using Hematoxylin and eosin (H&E) and Masson staining. The proteinuria, serum creatinine (SCr), blood urea nitrogen (BUN), and double-stranded DNA (dsDNA) levels were detected by biochemical analysis. The expressions of fibrosis and inflammation related proteins (including α-SMA, Vimentin, IL-1β, IL-6, and TNF-α), p65, and iNOS were also detected. The relationship among MAFF, HDAC6, and KLF5 was determined by chromatin immunoprecipitation and dual luciferase reporter gene assay.

Results: Renal tissues and cell models had elevated expressions of HDAC6 and KLF5, and decreased MAFF expression. HDAC6 suppression or MAFF overexpression led to suppression of proteinuria, SCr, BUN, and dsDNA levels, as well as attenuation of inflammatory infiltration and collagen deposition. HDAC6 can suppress MAFF expression via deacetylation to abolish its suppression of KLF5 expression, thus increasing KLF5 expression. In vivo and in vitro experiments showed the suppressive effect of HDAC6 suppression on renal fibrosis and inflammation can be abolished by KLF5 overexpression.

Conclusion: HDAC6 suppresses MAFF expression via deacetylation to elevate KLF5 expression, which consequently enhances fibrosis and inflammatory response in LN.

Objective: This study aimed to investigate the therapeutic effects of sulforaphane and the role of the Nrf2-Keap1/HO-1/ROS pathway in AngII-induced oxidative stress in podocyte injury.

Methods: Mouse mpc5 podocytes were divided into four groups: control (Con), AngII, AngII + sulforaphane (AngII + SFN), and control + sulforaphane (Con + SFN). Western blotting was used to detect protein expression of Nrf2-Keap1, antioxidant enzyme HO-1, and apoptosis-related proteins. ROS levels were measured using a ROS assay kit, and cell survival and viability were assayed using the CCK-8 kit. Molecular interactions between Nrf2 and sulforaphane were analyzed computationally.

Results: Compared with the Con group, podocytes treated with AngII alone exhibited inhibited proliferation, reduced cell viability, lower Bcl-2 expression, and higher cleaved caspase 3 expression. In the presence of sulforaphane, AngII group showed a mild inhibition on podocyte proliferation but did not induce the aforementioned changes in Bcl-2 and cleaved caspase 3 expression. Similarly, compared to the Con group, AngII treatment alone had lower Nrf2 expression and higher Keap1 expression in podocytes, accompanied by a significant decrease in ROS content. However, in the presence of sulforaphane, AngII failed to induce increases in Nrf2 and a decrease in Keap1 expression, as well as ROS levels. Furthermore, cells treated with sulforaphane exhibited higher HO-1 levels than control cells, and co-incubation with AngII did not alter HO-1 levels. Computational modeling revealed hydrophobic interactions between sulforaphane and the amino acid LYS-462 of Nrf2, as well as hydrogen bonding with amino acid HIS-465. The binding score between sulforaphane and Nrf2 was -4.7.

Conclusion: Sulforaphane alleviated AngII-induced podocyte oxidative stress injury via the Nrf2-Keap1/HO-1/ROS pathway, providing new insights into therapeutic compounds for mitigating chronic kidney disease.

The UK Deceased Donor Kidney Transplant Outcome Prediction (UK-DTOP) Tool, developed using advanced artificial intelligence (AI), significantly enhances the prediction of outcomes for deceased-donor kidney transplants in the UK. This study analyzed data from the UK Transplant Registry (UKTR), including 29,713 transplant cases between 2008 and 2022, to assess the predictive performance of three machine learning models: XGBoost, Random Survival Forest, and Optimal Decision Tree. Among these, XGBoost demonstrated exceptional performance with the highest concordance index of 0.74 and an area under the curve (AUC) consistently above 0.73, indicating robust discriminative ability and calibration. In comparison to the traditional Kidney Donor Risk Index (KDRI), which achieved a lower concordance index of 0.57, the UK-DTOP model marked a significant improvement, underscoring its superior predictive accuracy. The advanced capabilities of the XGBoost model were further highlighted through calibration assessments using the Integrated Brier Score (IBS), showing a score of 0.14, indicative of precise survival probability predictions. Additionally, unsupervised learning via k-means clustering was employed to identify five distinct clusters based on donor and transplant characteristics, uncovering nuanced insights into graft survival outcomes. These clusters were further analyzed using Bayesian Cox regression, which confirmed significant survival outcome variations across the clusters, thereby validating the model's effectiveness in enhancing risk stratification. The UK-DTOP tool offers a comprehensive decision-support system that significantly refines pre-transplant decision-making. The study's findings advocate for the adoption of AI-enhanced tools in healthcare systems to optimize organ matching and transplant success, potentially guiding future developments in global transplant practices.

Purpose: Increased myocardial T1 values on cardiovascular MRI (CMRI) have been shown to be a surrogate marker for myocardial fibrosis. The use of CMRI in patients on hemodialysis (HD) remains limited. This research aimed to explore the characteristics of native T1 values in HD patients and identify factors related to T1 values.

Methods: A total of thirty-two patients on HD and fourteen healthy controls were included in this study. All participants underwent CMRI. Using modified Look-Locker inversion recovery (MOLLI) sequence, native T1 mapping was achieved. Native CMRI T1 values were compared between the two groups. In order to analyze the relationship between T1 values and clinical parameters, correlation analysis was performed in patients on HD.

Results: Patients on HD exhibited elevated global native T1 values compared to control subjects. In the HD group, the global native T1 value correlated positively with intact parathyroid hormone (iPTH) (r = 0.418, p = 0.017) and negatively with triglycerides (r= -0.366, p = 0.039). Moreover, the global native T1 value exhibited a positive correlation with the left ventricular end-diastolic volume indexed to body surface area (BSA; r = 0.528, p = 0.014), left ventricular end-systolic volume indexed to BSA (r = 0.506, p = 0.019), and left ventricular mass indexed to BSA (r = 0.600, p = 0.005). A negative correlation was observed between the global native T1 value and ejection fraction (r = 0.-0.551, p = 0.010).

Conclusion: The global native T1 value was prolonged in HD patients compared with controls. In the HD group, the global T1 value correlated strongly with iPTH, triglycerides, and cardiac structural and functional parameters.

Background: The potential impact of elevated intra-abdominal pressure (IAP) on residual renal function (RRF) has not been determined. The objective of this study was to investigate the relationship between IAP and the rate of RRF decline in newly initiated peritoneal dialysis (PD) patients, and to identify the optimal IAP threshold value for delaying the deterioration of RRF.

Methods: A cohort of 62 newly initiated PD patients who completed both 6- and 12-month follow-up evaluations was obtained using the Durand method. A logistic regression model was used to identify variables associated with a rapid decline in RRF. Receiver operating characteristic (ROC) curves were generated to determine the optimal threshold value. Another retrospective cohort analysis was performed to validate the identified critical value.

Results: For each 1 cmH₂O increase in IAP, the risk of a rapid decline in the RRF increased by a factor of 1.679. Subsequent analysis revealed that patients in the high IAP group had more significant decreases in residual renal estimated glomerular filtration rate (eGFR) (Z = -3.694, p < 0.001) and urine volume (Z = -3.121, p < 0.001) than did those in the non-high IAP group. Furthermore, an IAP ≥15.65 cmH₂O was a robust discriminator for the prediction of the rate of RRF decline.

Conclusion: Patients in the high IAP group experienced a more rapid decline in RRF. Additionally, an optimal critical pressure of 15.65 cmH₂O was identified for predicting the rate of RRF decline. IAP, as one of the factors contributing to the rapid decline in RRF in the first year of PD, should be given due attention.

Background: Acute kidney injury (AKI) represents a diverse range of conditions characterized by high incidence and mortality rates, and it is mainly associated with immune-mediated mechanisms and mitochondrial metabolism dysfunction. Cuproptosis, a recently identified form of programmed cell death dependent on copper, is closely linked to mitochondrial respiration and contributes to various diseases. Our study aimed to investigate the involvement of cuproptosis-related genes (CRGs) in AKI.

Methods: Identification of CRGs was conducted using differential expression analysis, and subsequent Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted using human sequencing profiles. Utilizing CIBERSORT algorithm, receiver operating characteristic (ROC) curve analysis, nomogram development, and decision curve analysis (DCA), the association among immune scores, CRGs, and the diagnostic value of these genes was explored.

Results: Notably, six CRGs (FDX1, DLD, DLAT, DBT, PDHA1, and ATP7A) were identified as significant differentiators between AKI and non-AKI groups. The ROC curve, based on these six genes, demonstrated an AUC value of 0.917, which was further validated using an additional dataset with an AUC value of 0.902. Nomogram and DCA further confirmed the accuracy of the model in predicting the risk of AKI.

Conclusion: This study elucidated the role of cuproptosis in AKI and revealed the association between CRGs and infiltrated immune cells through comprehensive bioinformatic techniques. The six-gene cuproptosis-related signature exhibited remarkable predictive efficiency for AKI.