Clinical and Experimental Nephrology最新文献

Background: CKD currently affects 8.2% to 9.1% of the global population and the CKD mortality rate has increased during recent decades, making it necessary to identify new therapeutic targets. This study investigated the role of nicotinamide N-methyltransferase (NNMT) in renal fibrosis following ischemia-reperfusion injury (IRI), a key factor in chronic kidney disease (CKD) progression.

Methods: We established a mouse model with a knockdown of NNMT to investigate the impact of this enzyme on renal fibrosis after unilateral IRI. We then utilized histology, immunohistochemistry, and metabolomic analyses to investigate fibrosis markers and sphingolipid metabolism in NNMT-deficient mice. We also utilized an Nnmt lentivirus interference vector or an Nnmt overexpression plasmid to transfect mouse kidney proximal tubule cells, stimulated these cells with TGF-β1, and then measured the pro-fibrotic response and the expression of the methylated and unmethylated forms of Sphk1.

Results: The results demonstrated that reducing NNMT expression mitigated fibrosis, inflammation, and lipid deposition, potentially through the modulation of sphingolipid metabolism. Histology, immunohistochemistry, and metabolomic analyses provided evidence of decreased fibrosis and enhanced sphingolipid metabolism in NNMT-deficient mice. NNMT mediated the TGF-β1-induced pro-fibrotic response, knockdown of Nnmt decreased the level of unmethylated Sphk1 and increased the level of methylated Sphk1 in renal tubular epithelial cells.

Conclusions: Our findings suggest that NNMT functions in sphingolipid metabolism and has potential as a therapeutic target for CKD. Further research is needed to elucidate the mechanisms linking NNMT to sphingolipid metabolism and renal fibrosis.

Background: The characteristics of patients with advanced chronic kidney disease (CKD) who are recipients of public assistance in Japan, and the adequacy of their medical care have not been reported previously.

Methods: The records of patients with CKD stage G5 who visited nine facilities in Japan from April to June 2013 were retrospectively reviewed to compare the characteristics and care of recipients of public assistance with those of non-recipients. Receiving a presentation of kidney replacement therapy (KRT) options and polypharmacy were used as indicators of suboptimal medical care.

Results: Of the 592 patients included in this analysis (mean age, 69.6 years; male, 59.3%), 56 (9.5%) were recipients of public assistance and 536 (90.5%) were non-recipients of public assistance. The prevalence of diabetes mellitus, unmarried status, and living alone were higher in recipients of public assistance. In multivariable logistic regression analysis, compared with non-recipients of public assistance, recipients of public assistance were less likely to receive a presentation of KRT options (adjusted odds ratio [aOR], 0.31; 95% confidence interval [CI], 0.17-0.56), and were more likely to receive ≥ 10 (aOR, 1.92; 95% CI, 1.05-3.51), and ≥ 15 (aOR, 2.78; 95% CI, 1.23-6.26) types of medication.

Conclusions: Patients with advanced CKD receiving public assistance were less likely to receive a presentation of KRT options and more likely to receive ≥ 10 and ≥ 15 types of medication, suggesting that recipients of public assistance are more likely to receive suboptimal medical care.

Background: Elevated serum alkaline phosphatase (ALP) levels are a risk factor for all-cause mortality in hemodialysis patients. Traditionally in Japan, ALP measurements were conducted using the JSCC method, which yields higher ALP measurement values than the IFCC method, mainly due to its increased sensitivity to intestinal ALP.

Methods: Serum total ALP levels before and after switching the assay method from JSCC to IFCC were compared among different blood types in 521 hemodialysis patients (Study 1). The association between ALP levels measured by the JSCC method and 7-year mortality was analyzed, including blood types and liver function parameters as covariates, in 510 hemodialysis patients (Study 2).

Results: ALP levels measured by the JSCC method were approximately three times higher than those measured by the IFCC method, with significant elevation in patients with blood types B and O compared to those with blood types A and AB. Similarly, ALP levels measured by the IFCC method were significantly higher in patients with blood types B and O compared to those with blood types A and AB (Study 1). The highest tertile of ALP levels showed a significantly increased risk of all-cause mortality, even after adjusting for patient background. However, this significance disappeared when serum liver function-related or inflammatory markers were included as covariates (Study 2).

Conclusion: ALP levels measured by the JSCC method are associated with life prognosis, but caution should be exercised due to their elevation in patients with blood types B and O and in those with hepatic dysfunction or inflammation.

Background: Fibrosis is a common final pathway leading to end-stage renal failure. As the renal medulla and cortex contain different nephron segments, we analyzed the factors associated with the progression of renal medullary and cortical fibrosis.

Methods: A total of 120 patients who underwent renal biopsy at Kawashima Hospital between May 2019 and October 2022 were enrolled in this retrospective study. Renal medullary and cortical fibrosis and stiffness were evaluated using Masson's trichrome staining and shear wave elastography, respectively. Maximum urine osmolality in the Fishberg concentration test was also examined.

Results: Medullary fibrosis was positively correlated with cortical fibrosis (p < 0.0001) and log-converted urinary β2-microglobulin (MG) (log urinary β2-MG) (p = 0.022) and negatively correlated with estimated glomerular filtration rate (eGFR) (p = 0.0002). Cortical fibrosis also correlated with log urinary β2-MG, eGFR, and maximum urine osmolality. Multivariate analysis revealed that cortical fibrosis levels (odds ratio [OR]: 1.063) and medullary stiffness (OR: 1.089) were significantly associated with medullar fibrosis (≧45%). The severe fibrosis group with both medullary fibrosis (≧45%) and cortical fibrosis (≧25%) had lower eGFR and maximum urine osmolality values and higher urinary β2-MG levels than the other groups.

Conclusions: Patients with disorders involving both renal medullary and cortical fibrosis had decreased maximum urine osmolality but had no abnormalities in the urinary concentrating capacities with either condition. Renal medullary and cortical fibrosis were positively correlated with urinary β2-MG, but not with urinary N-acetyl-beta-D-glucosaminidase.

Background: Agonal bacteremia, diagnosed with postmortem positive blood culture results, is considered a possible contributing factor to death. We hypothesized that some premortem organ damage, such as kidney damage, can enhance agonal bacteremia.

Methods: We performed a postmortem blood and alveolar fluid culture study in 30 cadavers and evaluated the relationship between blood culture results and clinical parameters, including organ damage (brain, heart, lung, kidney, liver and gastrointestinal tract).

Results: A total of 23 cases (76.7%) were positive for blood culture; the number of cultured species was one in 12 cases, two in 7 cases, and three in 4 cases. The ratio of agonal bacteremia was significantly higher in patients with heart damage (100%, n = 13) and those with kidney damage (end-stage kidney damage, acute kidney injury, obstructive kidney failure, or metastatic kidney tumours) (100%, n = 13). The mean number of cultured species was 0.67 ± 0.98 in heart or kidney damage, 1.40 ± 0.55 in heart damage only, 1.40 ± 0.55 in kidney damage only, and 2.00 ± 0.93 in heart and kidney damage. As the number of damaged organs increased (0 organs, no heart/kidney damage; 1 organ, heart or kidney damage; and 2 organs, heart and kidney damage), the mean number of cultured species increased significantly (p for trend = 0.001964).

Conclusion: Premortem kidney damage relates to agonal bacteremia.

Background: We investigate whether Intensive uric acid (UA)-lowering therapy (ULT) provides increased renal protection compared with standard therapy in chronic kidney disease (CKD) patients.

Methods: This was a multicenter randomized controlled trial. Only CKD patients with hyperuricemia were included in this study. The participants were randomly assigned to either the Intensive therapy group (target serum UA level ≥ 4.0 mg/dL and < 5.0 mg/dL) or the standard therapy group (serum UA level ≥ 6.0 mg/dL and < 7.0 mg/dL). ULT was performed using topiroxostat, a non-purine-type selective xanthine oxidase inhibitor. The primary endpoint was change in the logarithmic value of urine albumin to the creatinine ratio (ACR) between baseline and week 52 of the treatment.

Results: Three hundred fifty-two patients were included in the full analysis set. In the Standard therapy group, mean serum UA was 8.23 mg/dL at baseline and 6.13 mg/dL at 52 weeks. In the Intensive therapy group, mean serum UA was 8.15 mg/dL at baseline and 5.25 mg/dL at 52 weeks. There was no significant difference in changes in log ACR at 52 weeks between the Intensive therapy and the Standard therapy groups.

Conclusion: This study did not reveal the benefit of Intensive ULT to improve albuminuria levels. (UMIN000026741 and jRCTs051180146).

Background: High protein intake leads to a decline in renal function in the advanced stages of chronic kidney disease (CKD). An effective diet for maintaining renal function in healthy individuals or patients in the early stages of CKD has not been established. This cohort study was conducted in Saku, Nagano Prefecture, Japan, to investigate the impact of dietary habits on renal function.

Methods: In this cross-sectional cohort study, we used the Saku Control Obesity Program (UMIN000016892), including 4,446 participants who submitted a brief-type self-administered diet history questionnaire and underwent routine physical examination. The amount of food intake was divided into quartiles. After adjusting for age and sex, multivariate logistic regression analysis was used to calculate the odds ratio (OR) for the risk of developing CKD (estimated glomerular filtration rate [eGFR] < 60 mL/min/1.73 m²).

Results: In total, 3,899 participants were analyzed. The overall prevalence of patients with eGFR < 60 mL/min/1.73 m² was 11% (n = 434, male; 7.1%, female; 4.1%). The groups with a high intake of chicken (approximately 63.4 g/day, adjusted OR: 0.632, P = 0.003), natto (fermented bean; approximately 21.7 g/day, adjusted OR: 0.679, P = 0.01), and plant protein (approximately 0.8 g/ideal body weight/day, adjusted OR: 0.695, P = 0.042) showed a low risk of developing CKD compared to the group with the lowest intake.

Conclusions: Our cross-sectional study showed that the intake of chicken meat, natto, and plant protein was associated with high eGFR levels. This information can be of value for preventing CKD incidence in healthy Japanese individuals.

Objectives: This study aimed to develop machine learning models for risk prediction of continuous renal replacement therapy (CRRT) following coronary artery bypass grafting (CABG) surgery in intensive care unit (ICU) patients.

Methods: We extracted CABG patients from the electronic medical record system of the hospital. The endpoint of this study was the requirement for CRRT after CABG surgery. The Boruta method was used for feature selection. Seven machine learning algorithms were developed to train models and validated using 10 fold cross-validation (CV). Model discrimination and calibration were estimated using the area under the receiver operating characteristic curve (AUC) and calibration plot, respectively. We used the SHapley Additive exPlanations (SHAP) method to illustrate the effects of the features attributed to the model and analyze the effects of individual features on the output of the mode.

Results: In this study, 72 (37.89%) patients underwent CRRT, with a higher mortality compared to those patients without CRRT. The Gaussian Naïve Bayes (GNB) model with the highest AUC were considered as the final predictive model and performed best in predicting postoperative CRRT. The analysis of importance revealed that cardiac troponin T, creatine kinase isoenzyme, albumin, low-density lipoprotein cholesterol, NYHA, serum creatinine, and age were the top seven features of the GNB model. The SHAP force analysis illustrated how created model visualized individualized prediction of CRRT.

Conclusions: Machine learning models were developed to predict CRRT. This contributes to the identification of risk variables for CRRT following CABG surgery in ICU patients and enables the optimization of perioperative managements for patients.