Risk Of Kidney Disease Research Articles

Association between Proton Pump Inhibitor Use and Risk of Incident Chronic Kidney Disease: Systematic Review and Meta-Analysis.

Proton pump inhibitors (PPIs) are among the most commonly prescribed medications. Recently, PPI use has been linked to the development of chronic kidney disease (CKD) and cardiovascular events. Our study aimed to investigate the relationship between PPI use and the incidence of chronic kidney disease using a systematic review and meta-analysis. We performed a comprehensive literature search in PubMed, Embase, and Cochrane databases from their inception until March 2024 for relevant studies. We compared outcomes between patients using PPIs, those not using PPIs, and those using histamine-2 receptor antagonists (H2RAs). Endpoints were pooled using the DerSimonian-and-Laird random-effects model as the hazard ratio (HR) with 95% confidence intervals (CIs). Our analysis included twelve studies with a total of 700,125 participants (286,488 on PPIs, 373,848 not on PPIs, and 39,789 on H2RAs), with follow-up periods ranging from three months to 14 years. The current meta-analysis revealed that PPI use is associated with a statistically significant increased risk of incident CKD (HR: 1.26, 95% CI: 1.16-1.38, p < 0.001) compared with non-users. Moreover, the risk of incident CKD is significantly higher in patients with PPI use compared to H2RA use (HR: 1.34, 95% CI: 1.13-1.59, p < 0.001). The results remained unchanged in terms of magnitude and direction after a leave-one-out analysis for both outcomes. Our multifaceted analysis showed that PPI use was associated with a higher incidence of CKD when compared to non-PPI use and H2RA use, respectively. These findings advocate for heightened vigilance and judicious use of long-term PPIs. Further large prospective longitudinal studies are warranted to validate these observations.

Development of a Robust and Reliable RP-HPLC Method for the Estimation of Finerenone in Tablet Dosage Form

An advanced analytical method was explored, specifically tailored for estimating finerenone, a vital drug found in tablet formulations intended to reduce the risk of chronic kidney disease in patients with type-2 diabetes. This sophisticated technique employs an Inertsil ODS 3V C18 column (5 μm particle size x 250 x 4.6 mm) for precise separation of analyte. The mobile phase consists of an ammonium dihydrogen phosphate buffer (pH 4.5) and acetonitrile (60:40), which is a carefully balanced mixture that flows consistently at 1.0 mL/min. UV detection is achieved at a wavelength of 238 nm. Finerenone’s characteristics are unveiled with a brief retention time of 4.06 minutes, highlighting the efficiency of the method. The method demonstrates linearity within the concentration range of 2.5 to 15 μg/mL, offering a comprehensive scope for accurate analysis. This robust reversed-phase high-performance liquid chromatography (RP-HPLC) method undergoes thorough validation following International Council for Harmonisation (ICH) guidelines, ensuring its reliability. Notably, the accuracy is impressive, with a mean recovery falling comfortably within the acceptable range of 99.76 to 101.09%. In summary, our analytical approach stands out for its simplicity, precision, sensitivity, rapidity, and robustness in estimating finerenone in tablet formulations.

Association between annual changes and visit-to-visit variability of serum uric acid and the kidney outcome in a general population.

To determine whether variability of serum uric acid (UA) is associated with risk of chronic kidney disease (CKD) in a healthy population. Retrospective, longitudinal cohort study was conducted at a health examination center in China. The study enrolled subjects who had a minimum of three visits between 2011 and 2018. We assessed UA change and visit-to-visit UA variability including standard deviation (SD), coefficient of variation (CV), variability independent of the mean (VIM), and average real variability (ARV). Rapid estimated glomerular filtration rate (eGFR) decline was defined by annual eGFR change < -4 mL/min/1.73m2/year. We conducted a multivariable-adjusted logistic regression analysis. Ten thousand seven hundred and thirty-eight participants were included. During 4.43±1.31years follow-up, there were 535 cases with rapid eGFR decline and 240 cases developed CKD. Compared to the non-rapid eGFR decline group and non-CKD group, the UA annual changes and variability were higher in the rapid eGFR decline group and CKD group. The highest quartile of UA annual changes and variability showed a higher incident rate of rapid eGFR decline and that of CKD. After adjusting for covariates, OR for eGFR rapid decline in UA variability were 1.69 [1.53, 1.86] for annual changes of UA, 1.17 [1.08, 1.27] for SD of UA, 1.16 [1.06, 1.25] for CV of UA, 1.16 [1.07, 1.25] for VIM of UA, and 1.10 [1.02, 1.19] for ARV of UA. Consistent results were observed when CKD is used as the outcome. Higher variability of serum UA was independently associated with the risk of kidney impairment.

Associations between frailty, genetic predisposition, and chronic kidney disease risk in middle-aged and older adults: A prospective cohort study

ObjectivesCross-sectional evidence has shown that frailty is highly prevalent in patients with chronic kidney disease (CKD). However, there is limited evidence of the longitudinal associations between frailty, genetic predisposition to CKD, and the risk of CKD in the general population. Therefore, this study aimed to examine such associations among participants in the UK Biobank. Study designThis is a prospective cohort study included 370,965 middle-aged and older adults from the UK Biobank. Physical frailty was assessed using a modified version of the Fried phenotype classification. A weighted genetic risk score was built using 263 variants associated with estimated glomerular filtration rate. Main outcome measuresIncident CKD was identified from hospital inpatient records. ResultsOver a median follow-up of 12.3 years, we documented a total of 11,121 incident CKD cases. Time-dependent Cox proportional hazards regression models indicated that individuals with frailty (hazard ratio [HR]: 1.94, 95 % confidence interval [CI]: 1.81–2.08) and pre-frailty (HR: 1.27, 95 % CI: 1.22–1.33) had an increased risk of developing CKD, compared with non-frail individuals. No significant interaction between frailty and genetic risk score was observed (P for interaction = 0.41). The highest risk was observed among the individuals with high genetic risk and frailty (HR: 2.31, 95 % CI: 2.00–2.68). ConclusionOur results demonstrated that frailty and pre-frailty were associated with increased risk of incident CKD in middle-age and older adults, regardless of genetic risk of CKD. Our study underscores the importance of frailty screening and intervention as a potential strategy to prevent CKD. Future clinical trials are needed to validate our findings.

Hepatitis B virus infection as a risk factor for chronic kidney disease: a systematic review and meta-analysis

BackgroundCurrently, several studies have observed that chronic hepatitis B virus infection is associated with the pathogenesis of kidney disease. However, the extent of the correlation between hepatitis B virus infection and the chronic kidney disease risk remains controversial.MethodsIn the present study, we searched all eligible literature in seven databases in English and Chinese. The random effects model was used to conduct a meta-analysis. Quality of included studies was assessed using the Newcastle-Ottawa Quality Scale.ResultsIn this analysis, a total of 31 studies reporting the association between hepatitis B virus infection and chronic kidney disease risk were included. The results showed a significant positive association between hepatitis B virus infection and the risk of chronic kidney disease (pooled OR, 1.20; 95% CI, 1.12–1.29), which means that hepatitis B virus increases the risk of developing chronic kidney disease.ConclusionThis study found that hepatitis B virus infection was associated with a significantly increased risk of chronic kidney disease. However, the current study still cannot directly determine this causal relationship. Thus, more comprehensive prospective longitudinal studies are needed in the future to provide further exploration and explanation of the association between hepatitis B virus and the risk of developing chronic kidney disease.

Prevalence of Mendelian Kidney Disease Among Patients With High-Risk APOL1 Genotypes Undergoing Commercial Genetic Testing in the United States

Among individuals with high-risk APOL1 genotypes, the lifetime risk of developing kidney failure is ∼15%, indicating that other genetic variants or nongenetic modifiers likely contribute substantially to an individual patient's risk of progressive kidney disease. Here, we estimate the prevalence and distribution of Mendelian kidney diseases among patients with high-risk APOL1 genotypes undergoing commercial genetic testing in the United States. We analyzed clinical exome sequencing data from 15,181 individuals undergoing commercial genetic testing for Mendelian kidney disease in the United States from 2020 to 2021. We identified patients with high-risk APOL1 genotypes by the presence of G1/G1, G1/G2, or G2/G2 alleles. Patients carrying single risk APOL1 alleles were identified as G1/G0, G2/G0; the remainder of patients were G0/G0. We estimated the prevalence and distribution of Mendelian kidney disease stratified by APOL1 genotype and genetically predicted ancestry. Of 15,181 patients, 3119 had genetic testing results consistent with a molecular diagnosis of Mendelian kidney disease (20.5%). Of 15,181 patients, 1035 (6.8%) had high-risk APOL1 genotypes. Among patients with recent genomic African ancestry, the prevalence of Mendelian kidney diseases was lower in those with high-risk APOL1 genotypes (9.6%; n= 91/944) compared with single risk APOL1 allele carriers (13.6%; n= 198/1453) and those with G0/G0 APOL1 genotypes (16.6%; n= 213/1281). Among patients with Mendelian kidney disease and recent genomic African ancestry, we observed differences in the prevalence of pathogenic/likely pathogenic variants in PKD1 (19.8% in high-risk vs. 30.2% in low-risk genotypes), and COL4A4 (24.2% in high-risk vs. 10.5% in low-risk genotypes). In this selected population of patients undergoing clinical genetic testing, we found evidence of Mendelian kidney disease in ∼10% patients with high-risk APOL1 genotypes.

Correlation of Silent Brain Infarction with the Metabolic Abnormality of CKD Stage 3-5 (non-dialytic) Patients

Background: Silent brain infarction (SBI) poses a significant yet often undetected risk in chronic kidney disease (CKD) patients, predisposing them to symptomatic stroke, dementia, and neurological mortality. Despite its implications, the association between SBI and CKD remains elusive, necessitating further exploration to elucidate potential predictive factors. Objective: This cross-sectional study investigated the relationship between SBI and metabolic abnormalities prevalent in CKD stages 3-5 (non-dialytic) patients. Methods: Conducted at the Department of Nephrology, Dhaka Medical College Hospital, Dhaka, from September 2018 to March 2020, the study enrolled 115 participants. Group I comprised 85 CKD stage 3-5 (non-dialytic) patients without neurological symptoms, while Group II comprised 30 healthy controls. Glomerular filtration rate (GFR) was estimated using the Modification of Diet in Renal Diseases equation. Magnetic resonance imaging (MRI) was performed on all subjects. Statistical analysis utilized SPSS-26. Results: The rate of Silent Brain Infarction is 52.9% in CKD patients. SBI was found in 45(52.9%) patients in group I and 4(13.3%) in group II. The differences were statistically significant (p&lt;0.05). Glomerulonephritis (45.9%) was the leading cause of CKD among the study patients. Most of the patients with Hypertensive Nephrosclerosis (76.9%) had SBI, which indirectly showed its strong association. As the CKD stages progressed, the SBI rate also increased (stage-3:8.9%; stage-4:35.6%; stage-5ND:55.6%). In a multivariate logistic regression analysis, CKD had an independent relationship with SBI along with serum phosphate level and serum parathyroid hormone level (CKD had Odds ratio (OR)=1.847 (95.0% CI 0.064 to 53.319), serum PO4 had OR=0.958 (95.0% CI 0.885 to 1.038) and serum PTH had OR=0.996 (95.0% CI 0.993 to 1.000). Spearman rank correlation coefficient test showed a positive correlation between the occurrence of SBI and serum PO4 level (r=0.416; p=0.001) and serum PTH level (r= 0.405; p=0.001) separately. Conclusions: The high prevalence of SBI in CKD stage 3-5 (non-dialytic) patients underscores its clinical significance. Serum phosphate and parathyroid hormone levels positively correlate with SBI occurrence, highlighting their potential as predictive markers. Understanding these associations can inform risk stratification and guide targeted interventions in CKD management.

New Perspectives in Management of Cardiovascular Risk Among People With Diabetes.

Following the publication of results from multiple landmark cardiovascular outcome trials of antihyperglycemic medications over the past 8 years, there has been a major shift in the focus of care for people with type 2 diabetes, from control of hyperglycemia to managing cardiovascular risk. Multiple international cardiology and diabetes society guidelines and recommendations now endorse sodium-glucose cotransporter-2 inhibitors and glucagon-like protein-1 receptor agonists as first-line therapies to mitigate cardiovascular risk. The most recent publication is the 2023 European Society of Cardiology guideline on the management of cardiovascular disease in those with type 2 diabetes that, for the first time, recommends use of both classes of medications for the mitigation of cardiovascular risk for those with or at high risk for atherosclerotic cardiovascular disease, heart failure, and chronic kidney disease. Here, we review the evidence behind contemporary society guidelines and recommendations for the management of type 2 diabetes and cardiovascular risk.

DNA methylation in peripheral blood is associated with renal aging and renal function decline: a national community study

BackgroundOlder patients are at risk for acute kidney injury and chronic kidney disease. Age-related increases in DNA methylation at CpG islands have been linked to aging-related diseases like cancer and cardiovascular disease, but the exact causal relationship between methylation in renal aging and other kidney diseases remains unclear. This study aimed to elucidate the methylation status of peripheral blood mononuclear cells (PBMCs) in the Asian population. Using human whole blood DNA methylation analysis from the Taiwan Biobank, we included participants with both whole blood genome-wide methylation data and follow-up data on serum creatinine. We investigated hyper- and hypomethylated genes in comparison of participants with higher and lower estimated glomerular filtration (eGFR) decline rate in overall cohort as well as in comparison of old and young participants in subgroup of participants with higher eGFR decline rate. Common genes and signaling pathways in both comparative analyses were identified.ResultsAmong 1587 participants in the analysis, 187 participants had higher eGFR decline rate. According to the comparison of methylation in participants with different eGFR declines and at different ages, respectively, we identified common hypermethylated genes, including DNMT3A and GGACT, as well as hypomethylated genes such as ARL6IP5, CYB5D1, BCL6, RPRD2, ZNF451, and MIAT in both participants with higher eGFR decline and those of older age. We observed associations between the methylation status of signaling pathways and aging as well as renal function decline. These pathways notably included autophagy, p38 mitogen-activated protein kinases, and sirtuins, which were associated with autophagy process and cytokine production.ConclusionsThrough methylation analysis of PBMCs, we identified genes and signaling pathways which could play crucial roles in the interplay of renal aging and renal function decline. These findings contribute to the development of novel biomarkers for identifying at-risk groups and even for therapeutic agent discovery.

60-OR: Implementing a Machine-Learning Model to Predict Risk of Chronic Kidney Disease (CKD) Progression

60-OR: Implementing a Machine-Learning Model to Predict Risk of Chronic Kidney Disease (CKD) Progression

403-P: Body-Weight Cycling and Risk of Diabetic Kidney Disease in People with Type 1 Diabetes

403-P: Body-Weight Cycling and Risk of Diabetic Kidney Disease in People with Type 1 Diabetes

The threshold effect of triglyceride glucose index on diabetic kidney disease risk in patients with type 2 diabetes: unveiling a non-linear association

BackgroundPrevious studies have confirmed that the triglyceride glucose (TyG) index, recognized as a reliable marker of insulin resistance, is an important risk factor for diabetic kidney disease (DKD). However, it is still unclear whether the DKD risk continues to increase linearly with the elevation of TyG index. This study aimed to thoroughly investigated the intrinsic relationship between TyG index and DKD risk in type 2 diabetes (T2D).MethodsThis cross-sectional study included 933 patients with T2D in China, who were categorized into DKD and non-DKD groups and stratified by TyG index levels. Logistic regression analysis identified the independent risk factors for DKD. The association between DKD risk and TyG index was evaluated using the restricted cubic spline (RCS) curves analysis. The R package ‘CatPredi’ was utilized to determine the optimal cut-off point for the relationship between DKD risk and TyG index, followed by threshold effect analysis.ResultsThe prevalence of DKD was 33.01%. After adjusting for confounding factors, TyG index was identified as a prominent clinical risk factor for DKD, showing the highest odds ratio (OR 1.57 (1.26 - 1.94), P&amp;lt;0.001). RCS analysis revealed a non-linear relationship with a threshold interval effect between the TyG index and DKD risk. When TyG index ≤ 9.35, DKD risk plateaued at a low level; however, when TyG index &amp;gt; 9.35, DKD risk increased gradually with rising TyG index. Among patients with TyG index &amp;gt; 9.35, each 1-unit increase was associated with a 1.94-fold increased DKD risk (OR=1.94 (1.10 - 3.43), P=0.022).ConclusionThe DKD risk presented a threshold effect with the increase of TyG index, initially stable at a low level, and then gradually rising when the TyG index is above 9.35.

The MICOS Complex Regulates Mitochondrial Structure and Oxidative Stress During Age-Dependent Structural Deficits in the Kidney.

The kidney filters nutrient waste and bodily fluids from the bloodstream, in addition to secondary functions of metabolism and hormone secretion, requiring an astonishing amount of energy to maintain its functions. In kidney cells, mitochondria produce adenosine triphosphate (ATP) and help maintain kidney function. Due to aging, the efficiency of kidney functions begins to decrease. Dysfunction in mitochondria and cristae, the inner folds of mitochondria, is a hallmark of aging. Therefore, age-related kidney function decline could be due to changes in mitochondrial ultrastructure, increased reactive oxygen species (ROS), and subsequent alterations in metabolism and lipid composition. We sought to understand if there is altered mitochondrial ultrastructure, as marked by 3D morphological changes, across time in tubular kidney cells. Serial block facing-scanning electron microscope (SBF-SEM) and manual segmentation using the Amira software were used to visualize murine kidney samples during the aging process at 3 months (young) and 2 years (old). We found that 2-year mitochondria are more fragmented, compared to the 3-month, with many uniquely shaped mitochondria observed across aging, concomitant with shifts in ROS, metabolomics, and lipid homeostasis. Furthermore, we show that the mitochondrial contact site and cristae organizing system (MICOS) complex is impaired in the kidney due to aging. Disruption of the MICOS complex shows altered mitochondrial calcium uptake and calcium retention capacity, as well as generation of oxidative stress. We found significant, detrimental structural changes to aged kidney tubule mitochondria suggesting a potential mechanism underlying why kidney diseases occur more readily with age. We hypothesize that disruption in the MICOS complex further exacerbates mitochondrial dysfunction, creating a vicious cycle of mitochondrial degradation and oxidative stress, thus impacting kidney health.

Emerging Roles of Xanthine Oxidoreductase in Chronic Kidney Disease.

Xanthine Oxidoreductase (XOR) is a ubiquitous, essential enzyme responsible for the terminal steps of purine catabolism, ultimately producing uric acid that is eliminated by the kidneys. XOR is also a physiological source of superoxide ion, hydrogen peroxide, and nitric oxide, which can function as second messengers in the activation of various physiological pathways, as well as contribute to the development and the progression of chronic conditions including kidney diseases, which are increasing in prevalence worldwide. XOR activity can promote oxidative distress, endothelial dysfunction, and inflammation through the biological effects of reactive oxygen species; nitric oxide and uric acid are the major products of XOR activity. However, the complex relationship of these reactions in disease settings has long been debated, and the environmental influences and genetics remain largely unknown. In this review, we give an overview of the biochemistry, biology, environmental, and current clinical impact of XOR in the kidney. Finally, we highlight recent genetic studies linking XOR and risk for kidney disease, igniting enthusiasm for future biomarker development and novel therapeutic approaches targeting XOR.

Effects of ACE inhibitor/ARB therapy and long COVID on kidney disease: a retrospective cohort study using real-world data.

The association between angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin II receptor blockers (ARBs) and severe acute respiratory syndrome coronavirus 2 susceptibility, particularly via ACE-2 receptor upregulation in the kidneys, raises concerns about potential kidney disease risks in long coronavirus disease (COVID) patients. This study explores the association of ACEI/ARB therapy on acute kidney injury (AKI), chronic kidney disease (CKD) and all-cause mortality in patients with and without long COVID. A retrospective cohort study using TriNetX datasets was conducted, with diagnoses of long COVID via International Classification of Diseases, Tenth Revision (ICD-10) codes and prescription for ACEI/ARB as the classification of four cohorts: long COVID ACEI/ARB users (LCAUs), long COVID ACEI/ARB non-users (LCANs), non-long COVID ACEI/ARB users (NLCAUs) and non-long COVID ACEI/ARB non-users (NLCANs). Multivariable stratified Cox proportional hazards regression models assessed the adjusted hazard ratios (aHRs) across groups. Additional analyses were conducted, including time-dependent exposure analysis and comparison with an active comparator, calcium channel blockers. Our study included 18 168 long COVID and 181 680 propensity score-matched non-long COVID patients from October 2021 to October 2023. ACEI/ARB use did not significantly affect the risk of AKI or CKD when comparing LCAUs with LCANs and NLCAUs with NLCANs. However, a protective effect against all-cause mortality was observed {aHR 0.79 [95% confidence interval (CI) 0.65-0.93]} in the NLCAU group compared with the NLCAN group. Conversely, long COVID was associated with increased risks of CKD [aHR 1.49 (95% CI 1.03-2.14)] and all-cause mortality [aHR 1.49 (95% CI 1.00-2.23)] when comparing LCANs with NLCANs. The additional analyses support the primary findings. ACEI/ARB treatment does not increase the incidence of CKD or AKI, regardless of long COVID status. However, long COVID itself is associated with increasing risks of kidney diseases and all-cause mortality.

Skipping Breakfast and Progression of Chronic Kidney Disease in the General Japanese Population: The Iki City Epidemiological Study of Atherosclerosis and Chronic Kidney Disease (ISSA-CKD)

Introduction: Breakfast-skipping habits are associated with adverse health outcomes including coronary heart disease, metabolic syndrome, and diabetes mellitus. However, it remains uncertain whether skipping breakfast affects chronic kidney disease (CKD) risk. This study aimed to examine the association between skipping breakfast and progression of CKD. Methods: We retrospectively conducted a population-based cohort study using the data from the Iki City Epidemiological Study of Atherosclerosis and Chronic Kidney Disease (ISSA-CKD). Between 2008 and 2019, we included 922 participants aged 30 years or older who had CKD (estimated glomerular filtration rate <60 mL/min/1.73 m2 and/or proteinuria) at baseline. Breakfast skippers were defined as participants who skipped breakfast more than 3 times per week. The outcome was CKD progression defined as a decline of at least 30% in the estimated glomerular filtration rate (eGFR) from the baseline status. Cox proportional hazards models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for CKD progression, adjusted for other CKD risk factors. Results: During a follow-up period with a mean of 5.5 years, CKD progression occurred in 60 (6.5%) participants. The incidence rate (per 1,000 person-years) of CKD progression was 21.5 in the breakfast-skipping group and 10.7 in the breakfast-eating group (p = 0.029), respectively. The multivariable-adjusted HR (95% CI) for CKD progression was 2.60 (95% CI: 1.29–5.26) for the breakfast-skipping group (p = 0.028) compared with the group eating breakfast. There were no clear differences in the association of skipping breakfast with CKD progression in subgroup analyses by sex, age, obesity, hypertension, diabetes mellitus, baseline eGFR, and baseline proteinuria. Conclusion: Skipping breakfast was significantly associated with higher risk of CKD progression in the general Japanese population.

First experiences with machine learning predictions of accelerated declining eGFR slope of living kidney donors 3years after donation.

Living kidney donors are screened pre-donation to estimate the risk of end-stage kidney disease (ESKD). We evaluate Machine Learning (ML) to predict the progression of kidney function deterioration over time using the estimated GFR (eGFR) slope as the target variable. We included 238 living kidney donors who underwent donor nephrectomy. We divided the dataset based on the eGFR slope in the third follow-up year, resulting in 185 donors with an average eGFR slope and 53 donors with an accelerated declining eGFR-slope. We trained three Machine Learning-models (Random Forest [RF], Extreme GradientBoosting [XG], Support Vector Machine [SVM]) and Logistic Regression (LR) for predictions. Predefined data subsets served for training to explore whether parameters of an ESKD risk score alone suffice or additional clinical and time-zero biopsy parameters enhance predictions. Machine learning-driven feature selection identified the best predictive parameters. None of the four models classified the eGFR slope with an AUC greater than 0.6 or an F1 score surpassing 0.41 despite training on different data subsets. Following machine learning-driven feature selection and subsequent retraining on these selected features, random forest and extreme gradient boosting outperformed other models, achieving an AUC of 0.66 and an F1 score of 0.44. After feature selection, two predictive donor attributes consistently appeared in all models: smoking-related features and glomerulitis of the Banff Lesion Score. Training machine learning-models with distinct predefined data subsets yielded unsatisfactory results. However, the efficacy of random forest and extreme gradient boosting improved when trained exclusively with machine learning-driven selected features, suggesting that the quality, rather than the quantity, of features is crucial for machine learning-model performance. This study offers insights into the application of emerging machine learning-techniques for the screening of living kidney donors.

Efficacy of CHA2DS2-VASc scores in predicting chronic kidney disease risk in patients treated in cardiac intensive care units

The CHA2DS2 -VASc score is a vital clinical tool for evaluating thromboembolic risk in patients with atrial fibrillation (AF). This study investigated the efficacy of the CHA2DS2 -VASc score in a cohort of 737 heterogeneous patients (mean age: 63 years) receiving care in cardiac intensive care units (CICUs), with a creatinine-based estimated glomerular filtration rate (eGFR) of ≥60 mL/min/1.73 m2 upon admission and discharge. Incident chronic kidney disease (CKD) was defined as the emergence of a new-onset eGFR<60 mL/min/1.73 m2, accompanied by a decline of >5 mL/min/1.73 m2 compared to that at discharge. The primary endpoint was the incidence of CKD, and the secondary endpoints included all-cause mortality, cardiovascular events, and progression to end-stage kidney disease. In this cohort, 210 (28 %) patients developed CKD. Multivariate analyses revealed that CHA2DS2 -VASc score was a significant independent predictor of incident CKD, regardless of the presence of AF. Integration of CHA2DS2 -VASc scores with eGFR enhanced the predictive accuracy of incident CKD, as evidenced by the improved C-index, net reclassification improvement, and integrated discrimination improvement values (all p < 0.05). Over the 12-month follow-up period, a composite endpoint was observed in 61 patients (8.3 %), with elevated CHA2DS2 -VASc scores being independently associated with this endpoint. In conclusion, CHA2DS2-VASc scores have emerged as robust predictors of both CKD incidence and adverse outcomes. Their inclusion substantially refined the 12-month risk stratification of patients with preserved renal function hospitalized in the CICUs.

Genetic association between celiac disease and chronic kidney disease: a two-sample Mendelian randomization study

Objective A two-sample Mendelian randomization (MR) analysis was performed to elucidate the causal impact of celiac disease on the risk of chronic kidney disease (CKD). Methods The study comprised data from three genome-wide association studies involving individuals of European ancestry. The study groups included participants with celiac disease (n = 24,269), CKD (n = 117,165), and estimated glomerular filtration rate levels based on serum creatinine (eGFRcrea, n = 133,413). We employed four widely recognized causal inference algorithms: MR-Egger, inverse variance weighted (IVW), weighted median, and weighted mode. To address potential issues related to pleiotropy and overall effects, MR-Egger regression and the MR-PRESSO global test were performed. Heterogeneity was assessed using Cochran’s Q test. Results We identified 14 genetic variants with genome-wide significance. The MR analysis provided consistent evidence across the various methodologies, supporting a causal relationship between celiac disease and an elevated risk of CKD (odds ratio (OR)IVW = 1.027, p = 0.025; ORweighted median = 1.028, P = 0.049; ORweighted mode = 1.030, p = 0.044). Furthermore, we observed a causal link between celiac disease and a decreased eGFRcrea (ORIVW = 0.997, P = 2.94E-06; ORweighted median = 0.996, P = 1.68E-05; ORweighted mode = 0.996, P = 3.11E-04; ORMR Egger = 0.996, P = 5.00E-03). We found no significant evidence of horizontal pleiotropy, heterogeneity, or bias based on MR-Egger regression, MR-PRESSO, and Cochran’s Q test. Conclusion The results of this study indicate a causal relationship between celiac disease and an increased risk of CKD.

The hippo-YAP1/HIF-1α pathway mediates arsenic-induced renal fibrosis

Epidemiological evidence reveals that arsenic increases the risk of chronic kidney disease (CKD) in humans, but its mechanism of action has so far been unclear. Fibrosis is the manifestation of end-stage renal disease. Hypoxia is recognized as a vital event accompanying the progression of renal fibrosis. KM mice were exposed to 0, 20, 40, and 80 mg/L NaAsO2 for 12 weeks. HK-2 cells were treated with 1 μM NaAsO2 for 4 weeks. The results showed that arsenic increased the expression of hypoxia-inducible factor 1α (HIF-1α) (P < 0.05), which is involved in inorganic arsenic-induced renal fibrosis. The Hippo signaling pathway is the upstream signal of HIF-1α and the kinase cascade of Large tumor suppressor kinase 1 (LATS1) and Yes-associated protein 1 (YAP1) is the heart of the Hippo pathway. Our results showed that protein expressions of LATS1 and phosphorylated YAP1 were decreased, and dephosphorylated YAP1 expression increased in arsenic-treated mouse kidneys and human HK-2 cells (P < 0.05). Our research manifested that arsenic treatment suppressed the Hippo signaling and induced high expression of YAP1 into the nucleus. We also found that YAP1 was involved in arsenic-induced renal fibrosis by forming a complex with HIF-1α and maintaining HIF-1α stability. Our findings indicate that YAP1 is a potential target for molecular-based therapy for arsenic-mediated renal fibrosis.