Treatment Of Chronic Kidney Disease Research Articles

Integrated Population Pharmacokinetics of Daprodustat in Patients with Chronic Kidney Disease with Anemia.

Daprodustat is a first-in-class hypoxia-inducible factor prolyl hydroxylase inhibitor (HIF-PHI) approved in the USA for treatment of anemia owing to chronic kidney disease (CKD) in dialysis-dependent adults and in Japan for treatment of CKD in dialysis- and non-dialysis dependent adults. This analysis characterized the population pharmacokinetics (PopPK) of daprodustat in adults with CKD and evaluated the influence of intrinsic and extrinsic factors. This PopPK analysis included data from one phase 2B and four phase 3 studies comprising 707 CKD subjects dose titrated to prespecified target hemoglobin levels with daprodustat doses ranging from 1 to 24 mg once daily and 2 to 48 mg given three times a week (TIW). Model development leveraged a previous phase 1/2 PopPK model. Stepwise covariate analysis included 20 extrinsic and intrinsic factors. Model evaluation used standard goodness-of-fit and visual predictive checks. Daprodustat PopPK was adequately characterized using a three-compartment distribution model with first-order elimination. The absorption phase was described using five transit compartments. Oral clearance and volume of distribution was 24.6 L/h and 26.9 L, respectively. Body weight dependence (with fixed allometric coefficients) of clearance and volume terms was a statistically significant covariate. Concomitant use of clopidogrel (moderate CYP2C8 inhibitor) decreased oral clearance, resulting in higher area under the plasma concentration-timecurve (AUC) ratio of 1.59 (90% CI: 1.39-1.82), subjects' dialysis status (non-dialysis versus dialysis) had an effect on absorption, with Cmax ratio of 1.19 (90% CI: 1.09-1.30). None of the other investigated intrinsic or extrinsic covariates, including concomitant administration with phosphate binders, oral iron and acid reducing agents resulted in a significant change in daprodustat systemic exposure. The PopPK of daprodustat in theCKD population with anemia was adequately characterized. Allometrically-scaled body weight on clearance and volume, dialysis status on absorption and clopidogrel on clearance were statistically significant covariates.

Endogenous bufadienolides, mineralocorticoid receptor antagonists and fibrosis in chronic kidney disease.

Every year millions die prematurely of complications related to chronic kidney disease (CKD). Main causes of death are connected with cardiovascular (CV) complications. There is no cure for CKD although current treatment can slow the progression of the disease if diagnosed early. Fortunately, last decades have witnessed an accelerating pace of discovery regarding the cellular and molecular basis for CKD and CV disease. Novel biomarkers, including amino-terminal type III procollagen peptide (PIIINP), carboxy-terminal type I procollagen peptide (PICP), FGF23, marinobufagenin, and several miRNAs, show promise for early detection and risk stratification. In this review, we provide an overview of recent advances in the "fibrotic concept" of the etiology and pathogenesis of CKD which involves system consisting of Na/K-ATPase and its endogenous ligands including marinobufagenin which inhibits Fli1 and stimulates synthesis of collagen-1 in the vasculature. A novel treatment of CKD already involves the use of mineralocorticoid receptor antagonists capable of impairing marinobufagenin-Na/K-ATPase interactions.

Research hotspots and future trends in lipid metabolism in chronic kidney disease: a bibliometric and visualization analysis from 2004 to 2023.

Disorders of lipid metabolism play a key role in the initiation and progression of chronic kidney disease (CKD). Recently, research on lipid metabolism in CKD has rapidly increased worldwide. However, comprehensive bibliometric analyses in this field are lacking. Therefore, this study aimed to evaluate publications in the field of lipid metabolism in CKD over the past 20years based on bibliometric analysis methods to understand the important achievements, popular research topics, and emerging thematic trends. Literature on lipid metabolism in CKD, published between 2004 and 2023, was retrieved from the Web of Science Core Collection. The VOSviewer (v.1.6.19), CiteSpace (v.6.3 R1), R language (v.4.3.2), and Bibliometrix (v.4.1.4) packages (https://www.bibliometrix.org) were used for the bibliometric analysis and visualization. Annual output, author, country, institution, journal, cited literature, co-cited literature, and keywords were also included. The citation frequency and H-index were used to evaluate quality and influence. In total, 1,285 publications in the field of lipid metabolism in CKD were identified in this study. A total of 7,615 authors from 1,885 institutions in 69 countries and regions published articles in 466 journals. Among them, China was the most productive (368 articles), and the United States had the most citations (17,880 times) and the highest H-index (75). Vaziri Nosratola D, Levi Moshe, Fornoni Alessia, Zhao Yingyong, and Merscher Sandra emerged as core authors. Levi Moshe (2,247 times) and Vaziri Nosratola D (1,969 times) were also authors of the top two most cited publications. The International Journal of Molecular Sciences and Kidney International are the most published and cited journals in this field, respectively. Cardiovascular disease (CVD) and diabetic kidney disease (DKD) have attracted significant attention in the field of lipid metabolism. Oxidative stress, inflammation, insulin resistance, autophagy, and cell death are the key research topics in this field. Through bibliometric analysis, the current status and global trends in lipid metabolism in CKD were demonstrated. CVD and DKD are closely associated with the lipid metabolism of patients with CKD. Future studies should focus on effective CKD treatments using lipid-lowering targets.

A Comprehensive Review of Biomarkers for Chronic Kidney Disease in Older Individuals: Current Perspectives and Future Directions.

Chronic kidney disease (CKD) is a progressive condition characterized by a gradual loss of kidney function, leading to significant health complications and an increased risk of cardiovascular events. Early detection and effective management are crucial for slowing disease progression and improving patient outcomes. Biomarkers are valuable tools in CKD diagnosis, prognosis, and treatment. Traditional biomarkers, such as serum creatinine and urine protein, are widely used, but emerging biomarkers like cystatin C, kidney injury molecule-1 (KIM-1), and neutrophil gelatinase-associated lipocalin (NGAL) offer enhanced diagnostic precision and insights into disease severity. These advanced biomarkers are particularly important in older adults, who may present with age-related physiological changes and comorbid conditions that complicate CKD management. This review explores the current state of biomarker research in CKD, focusing on their application in older populations. It highlights the role of traditional and emerging biomarkers, discusses their relevance for early detection and prognosis, and examines future directions in biomarker research, including technological innovations and personalized medicine approaches. By integrating biomarkers into clinical practice, healthcare providers can achieve more accurate diagnoses, tailor treatments to individual patient needs, and potentially improve the overall management of CKD. Continued research and development in this field are essential for addressing the complexities of CKD and advancing patient care.

Causality of Genetically Determined Metabolites on Chronic Kidney Disease: A Two-Sample Mendelian Randomization Study In Silico.

Introduction: Chronic kidney disease (CKD) is associated with metabolic disorders. However, the evidence for the causality of circulating metabolites to promote or prevent CKD is still lacking. Methods: The two-sample Mendelian randomization (MR) analysis was conducted to evaluate the latent causal relationship between the genetically proxied 486 blood metabolites and CKD. Genome-wide association study (GWAS) data for exposures were derived from 7824 European GWAS on metabolite levels, which have been extensively utilized in the medical field to elucidate the mechanisms underlying disease onset and progression. The random inverse variance weighted (IVW) is the primary analysis for causality analysis while MR-Egger and weighted median as complementary analyses. For the further identification of metabolites, reverse MR and linkage disequilibrium score regression were performed for further evaluation. The drug target for N-acetylornithine was subsequently supplemented into the analysis, with MR and colocalization analysis being utilized. Key metabolic pathways were identified via MetaboAnalyst 4.0 (https://www.metaboanalyst.ca/) online website. Results: N-acetylornithine was identified as a reliable metabolite that increases the susceptibility to estimated glomerular filtration rate (eGFR) decrease (β = 0.047; 95% confidence interval: -0.068 to -0.026; PIVW = 1.5E-5). The "glyoxylate and dicarboxylate metabolism" pathway showed significant relevance to CKD development (P = 6E-4), whereas the "glycine, serine, and threonine metabolism" pathway was also recognized as associated with CKD by general practitioners (P = 7E-4). Colocalization analysis revealed a robust genetic link between N-acetylornithine and both CKD and eGFR, with 85.1% and 99.4% colocalization rates, respectively. IVW-MR analysis substantiated these findings with a significant positive association for CKD (odds ratio = 1.43, P = 4.7E-5) and a negative correlation with eGFR (b = -0.04, P = 1.13E-31). Conclusions: MR was utilized to explore the potential causal links between 61 genetic serum metabolites and CKD. N-acetylornithine and NAT8 were further explored as a potential therapeutic target for CKD treatment.

Classification and segmentation of kidney MRI images for chronic kidney disease detection

Chronic Kidney Disease (CKD) is a common ailment with significant public health implications, underscoring the critical importance of early detection and diagnosis for effective management. Our research focuses on utilizing deep learning models to accurately classify and segment kidney MRI images, aiding in the timely detection and diagnosis of CKD. Utilizing the Zenodo dataset comprising 1299 kidney MRI images from 100 T2-weighted abdomen MRI scans, our investigation reveals that Vision Transformers (ViT) based model EfficientNet_b1 exhibited superior performance compared to other models. It achieved an accuracy of 94.38% in distinguishing between healthy and CKD cases in kidney MRI image classification. Moreover, the pretrained models Densenet201 and VGG19, as well as the ViT-based models EfficientNet_b1 and tf_mobilenetv3_large_075, demonstrate remarkable sensitivity and accuracy while compared to identifying kidney MRI images which highlights the effectiveness of deep learning architectures in identifying diseases. Additionally, our segmentation analysis reveals that our proposed network, Resnet18-Self-ONN-UNet++, adeptly delineates kidney structures. The network shows remarkable performance in medical diagnosis and treatment planning, with an Intersection over Union (IoU) of 82.34% and DS of 91.57% when integrated with the Contrast Limited Adaptive Histogram Equalization (CLAHE) preprocessing technique and Simultaneous truth and performance level estimation (STAPLE) as post processing technique. In summary, deep learning-driven kidney MRI image classification and segmentation enhance medical imaging analysis, potentially aiding in early CKD diagnosis and treatment, thereby addressing critical public health concerns, and enhancing patient outcomes.

Cyclic Adenosine Monophosphate Signaling in Chronic Kidney Disease: Molecular Targets and Therapeutic Potentials.

Chronic kidney disease (CKD) is characterized by a steady decline in kidney function and affects roughly 10% of the world's population. This review focuses on the critical function of cyclic adenosine monophosphate (cAMP) signaling in CKD, specifically how it influences both protective and pathogenic processes in the kidney. cAMP, a critical secondary messenger, controls a variety of cellular functions, including transcription, metabolism, mitochondrial homeostasis, cell proliferation, and apoptosis. Its compartmentalization inside cellular microdomains ensures accurate signaling. In kidney physiology, cAMP is required for hormone-regulated activities, particularly in the collecting duct, where it promotes water reabsorption through vasopressin signaling. Several illnesses, including Fabry disease, renal cell carcinoma, nephrogenic diabetes insipidus, Bartter syndrome, Liddle syndrome, diabetic nephropathy, autosomal dominant polycystic kidney disease, and renal tubular acidosis, have been linked to dysfunction in the cAMP system. Both cAMP analogs and phosphodiesterase inhibitors have the potential to improve kidney function and reduce kidney damage. Future research should focus on developing targeted PDE inhibitors for the treatment of CKD.

Management of chronic kidney disease: a Hong Kong consensus recommendation.

Chronic kidney disease (CKD) imposes a significant burden on healthcare systems worldwide, and diabetes is a major risk factor for CKD. There is currently no consensus in Hong Kong regarding the prioritisation of early identification and intervention for CKD. A comprehensive and Hong Kong-specific diabetes and CKD treatment guideline is also lacking. A multidisciplinary group of experts discussed issues surrounding the current management of CKD and reviewed evidence in the context of local experience to support recommendations. The experts used a modified Delphi approach to finalise recommendations. Consensus was regarded as ≥75% acceptability among all expert panel members. The panel members finalised 14 CKD-focused consensus statements addressing disease definition, screening, disease monitoring, lifestyle management, and treatment strategies. The recommendations provided are relevant to the Hong Kong healthcare setting and can be used as a guide by physicians across various specialties to facilitate the appropriate management of CKD.

Association between dietary intake of flavonoid and chronic kidney disease in US adults: Evidence from NHANES 2007-2008, 2009-2010, and 2017-2018.

Studies investigating the relationship between flavonoid intake and chronic kidney disease (CKD) are limited. This study investigated the association between daily flavonoid intake and CKD in US adults by using data for 2007-2008, 2009-2010, and 2017-2018 from the National Health and Nutrition Examination Survey (NHANES) database. This study employed a cross-sectional design and used data from three cycles of the continuous NHANES: 2007-2008, 2009-2010, and 2017-2018. NHANES researchers collected data related to consumption of various food and beverages from participants by employing 24-h dietary recall questionnaires. CKD is defined as an estimated glomerular filtration rate of < 60 mL/min/1.73m2 or a urine albumin-to-creatinine ratio of ≥ 30 mg/g. The odds ratios (OR) for CKD risk in the second (Q2), third (Q3), and fourth (Q4) quartiles of total flavonoid intake, compared with that in the first (Q1) quartile, were 0.780 (95% CI: 0.600, 1.015), 0.741 (95% CI: 0.573, 0.957), and 0.716 (95% CI: 0.554, 0.925), respectively (with a P value for the trend of 0.040). According to the restricted cubic spline analysis, total flavonoid intake exhibited a non-linear relationship with CKD risk (P < 0.001). Our findings suggest that a potential J-shaped relationship was observed between total flavonoid consumption and CKD risk, with an inflection point at 69.58 mg/d. Our study indicates that a moderate intake of flavonoids may confer renal benefits which may offer novel strategies for CKD treatment.

Effects of cluster set resistance training on bone mineral density and markers of bone metabolism in older hemodialysis subjects: A pilot study

Chronic kidney disease (CKD) is associated with a series of mineral bone disturbances due to increased production of parathormone which increases the activity of osteoclasts, removing calcium and phosphorous from the bones. However, the literature lacks investigations on the feasibility of different resistance training (RT) methods, such as cluster-sets, in this population. Thus, the aim of the present study was to compare traditional versus cluster-set RT protocols on bone mineral density (BMD) T-score, BMD Total, femur BMD, L3-L4 BMD, femoral neck BMD, Klotho, FGF23, Klotho - FGF23 ratio, Sclerostin, vitamin D, phosphorous and calcium in older subjects with CKD. Seventy-eight older subjects (age: 57.55 ± 4.06 years, body mass: 72.26 ± 13.96 kg, body mass index: 26.73 ± 2.97 kg/m2) with CKD undergoing maintenance hemodialysis were randomly divided into control group (CG, n = 26), traditional RT (RT, n = 26) and cluster-set RT (RT-CS, n = 26) groups. Subjects completed 24 weeks of RT three times per week, 1 h and 30 min before the hemodialysis session, and each training lasted around 60 to 80 min. There was a group×time interaction for total BMD, femur BMD, L3-L4 BMD, and femoral neck BMD, revealed by improvements for RT and RT-CS groups (pre versus post). Only femur BMD displayed differences as compared with the CG. Minimum clinically important difference (MCID) values revealed more responsive subjects in the RT-CS group for total BMD, femur BMD, klotho, FGF23, sclerostin, Vitamin D and calcium. In conclusion, RT can be used as a non-pharmacological complementary strategy for the treatment of CKD. RT-CS may be useful for these subjects as more responders were found for this type of training.

Dysregulation of lipid metabolism in chronic kidney disease and the role of natural products.

Dysregulation of lipid metabolism plays a key role in the onset and progression of CKD, and a thorough understanding of its regulatory mechanisms is essential for the development of effective treatments. In recent years, an increasing number of studies have focused on the pharmacological activities of natural products and their application in the treatment of chronic diseases. Natural products, including plant extracts and bioactive compounds, have been shown to exert anti-inflammatory, antioxidant, antifibrosis, and anti-apoptotic effects through various signaling pathways in the treatment of CKD. Many natural products have been shown to target dysregulated lipid metabolism through various signaling pathways. This review summarizes the key regulatory factors and signaling pathways involved in the dysregulation of lipid metabolism in chronic kidney disease (CKD), highlighting their importance as potential therapeutic targets. Recently published research on the potential therapeutic benefits of natural products for the treatment of CKD was described. These studies have revealed the multi-target role of natural products in the regulation of lipid metabolism. Natural products show great potential in targeting lipid metabolism-related pathways, offering a novel research direction for the treatment of CKD while providing a scientific basis and experimental support for the development of new treatment strategies.

Patiromer-Facilitated Renin-Angiotensin-Aldosterone System Inhibitor Utilization in Patients with Heart Failure with or without Comorbid Chronic Kidney Disease: Subgroup Analysis of DIAMOND Randomized Trial

Plain Language SummaryPatients with chronic kidney disease (CKD) can develop high potassium (hyperkalemia) levels in their blood that can lead to complications such as heart issues. Renin-angiotensin-aldosterone system inhibitors (RAASis) are used as treatment for heart failure and CKD, but can also cause hyperkalemia, so are underutilized and used at lower than optimal doses. Patiromer is a potassium binder which was investigated in the DIAMOND trial to identify if it could reduce hyperkalemia in patients receiving RAASis. Lower kidney function (eGFR) has been associated with a greater likelihood of stopping treatment with RAASis; therefore, this analysis assessed the effect of patiromer on patients with varying eGFR levels. Patiromer enabled use of effective RAASi doses, controlled the serum potassium levels and minimized hyperkalemia in patients with heart failure and CKD.

The compositional and functional imbalance of the gut microbiota in CKD linked to disease patterns

BackgroundThe prevalence of chronic kidney disease (CKD) is on the rise, posing a significant public health challenge. Although gut microbiome dysbiosis has been implicated in the impairment of kidney functions, the existence of pathological subtypes-linked differences remains largely unknown. We aimed to characterize the intestinal microbiota in patients with membranous nephropathy (MN), IgA nephropathy (IgAN), minimal change disease (MCD), and ischemic renal injury (IRI) in order to investigate the intricate relationship between intestinal microbiota and CKD across different subtypes.MethodsWe conducted a cross-sectional study involving 94 patients with various pathological patterns of CKD and 54 healthy controls (HCs). The clinical parameters were collected, and stool samples were obtained from each participant. Gut microbial features were analyzed using 16S rRNA sequencing and taxon annotation to compare the HC, CKD, MN, IgAN, MCD, and IRI groups.ResultsThe CKD subjects exhibited significantly reduced alpha diversity, modified community structures, and disrupted microbial composition and potential functions compared to the control group. The opportunistic pathogen Klebsiella exhibited a significant enrichment in patients with CKD, whereas Akkermansia showed higher abundance in HCs. The study further revealed the presence of heterogeneity in intestinal microbial signatures across diverse CKD pathological types, including MN, IgAN, MCD, and IRI. The depression of the family Lachnospiraceae and the genus Bilophila was prominently observed exclusively in patients with MN, while suppressed Streptococcus was detected only in individuals with MCD, and a remarkable expansion of the genus Escherichia was uniquely found in cases of IRI. The study also encompassed the development of classifiers employing gut microbial diagnostic markers to accurately discriminate between distinct subtypes of CKD.ConclusionsThe dysregulation of gut microbiome was strongly correlated with CKD, exhibiting further specificity towards distinct pathological patterns. Our study emphasizes the significance of considering disease subtypes when assessing the impact of intestinal microbiota on the development, diagnosis, and treatment of CKD.

Barriers to early diagnosis of chronic kidney disease and use of sodium-glucose cotransporter-2 inhibitors for renal protection: A comprehensive review and call to action.

Chronic kidney disease (CKD) affects approximately 13% of people globally, including 20%-48% with type 2 diabetes (T2D), resulting in significant morbidity, mortality, and healthcare costs. There is an urgent need to increase early screening and intervention for CKD. We are experts in diabetology and nephrology in Central Europe and Israel. Herein, we review evidence supporting the use of sodium-glucose cotransporter-2 (SGLT2) inhibitors for kidney protection and discuss barriers to early CKD diagnosis and treatment, including in our respective countries. SGLT2 inhibitors exert cardiorenal protective effects, demonstrated in the renal outcomes trials (EMPA-KIDNEY, DAPA-CKD, CREDENCE) of empagliflozin, dapagliflozin, and canagliflozin in patients with CKD. EMPA-KIDNEY demonstrated cardiorenal efficacy across the broadest renal range, regardless of T2D status. Renoprotective evidence also comes from large real-world studies. International guidelines recommend first-line SGLT2 inhibitors for patients with T2D and estimated glomerular filtration rate (eGFR) ≥20 mL/min/1.73 m2, and that glucagon-like peptide-1 receptor agonists may also be administered if required for additional glucose control. Although these guidelines recommend at least annual eGFR and urine albumin-to-creatinine ratio screening for patients with T2D, observational studies suggest that only half are screened. Diagnosis is hampered by asymptomatic early CKD and under-recognition among patients with T2D and clinicians, including limited knowledge/use of guidelines and resources. Based on our experience and on the literature, we recommend robust screening programmes, potentially with albuminuria self-testing, and SGLT2 inhibitor reimbursement at general practitioner (GP) and specialist levels. High-tech tools (artificial intelligence, smartphone apps, etc.) are providing exciting opportunities to identify high-risk individuals, self-screen, detect abnormalities in images, and assist with prescribing and treatment adherence. Better education is also needed, alongside provision of concise guidelines, enabling GPs to identify who would benefit from early initiation of renoprotective therapy; although, regardless of current renal function, cardiorenal protection is provided by SGLT2 inhibitor therapy.

The Broader Effects of Delayed Progression to End-Stage Kidney Disease: Delaying the Inevitable or a Meaningful Change?

A global rise in the prevalence of patients with chronic kidney disease (CKD) with end-stage kidney disease (ESKD) has led to a considerable and increasing burden to health systems, patients, and society. Sodium-glucose cotransporter 2 (SGLT2) inhibitors are proven to reduce incidence of cardio-renal outcomes, including onset of ESKD. Recent post hoc analyses of SGLT2 inhibitor trials extrapolate substantial delays in the average time to ESKD over a patient's lifetime. In this article, we explore the possible real-world effects of such a delay by considering the available evidence reporting outcomes following onset of ESKD. From the patient perspective, a delay in reaching ESKD could substantially improve health-related quality of life and result in additional life years without the need for kidney replacement therapies, a target relevant to all CKD subpopulations. Furthermore, should a patient initiate dialysis at an older age as a result of CKD progression, the time spent in receipt of dialysis, and therefore associated healthcare costs, may also be reduced. A delay in progression may also lead to changes in the management of ESKD, such as increased election of conservative care in preference to dialysis, particularly in elderly populations. For younger patients with CKD, those who reach ESKD while employed face considerable work impairment and productivity loss, as may families and care partners of working age. Therefore, a delay to the onset of ESKD will reduce the proportion of their working lives affected by productivity losses or unemployment due to medical reasons. In conclusion, optimised treatment of CKD may lead to a shift in treatment options, but proper and timely implementation is essential for the realisation of improved outcomes.

Screening for chronic kidney disease: change of perspective and novel developments.

Chronic kidney disease (CKD) is a serious health issue because of its rising global prevalence and its complications, such as kidney failure and cardiovascular disease (CVD). CKD is mainly diagnosed late or undiagnosed, delaying or missing the initiation of preventive interventions. Screening can prevent or delay progressive kidney function decline and CVD. This article reviews diagnostic tests and risk prediction developments for patients with CKD, highlights key evidence for targeted screening, and provides new insights into population-wide screening. Large cohort studies and clinical trial data established the strong association of albuminuria with CKD outcomes, supporting the role of albuminuria as target of CKD screening and treatment. Significant advances in both risk prediction of CKD and CVD in CKD patients and treatment options provided new evidence for the relevance and implications of CKD screening. Guidelines recommend targeted screening in high-risk patients, but evidence suggests limited adherence to guideline recommendations. More recently, population-wide screening has been investigated as another approach, showing potential effectiveness and cost-effectiveness. There is increasing evidence for the methods, implications, and effectiveness of CKD screening. Implementing and optimizing screening strategies requires enhanced awareness and understanding of the possibilities for CKD screening within different healthcare systems.

A novel deer hunting optimized cat boost approach for interactive medical decision-making system

The need for precise and effective medical decision-making mechanisms is driving constant change in the healthcare sector. In this regard, algorithms based on machine learning are becoming prominent due to their potential to help medical practitioners diagnose and cure a wide range of illnesses. All over the world, one significant public health issue is chronic kidney disease (CKD), which requires prompt and precise diagnosis to manage and cure. A new Deer Hunting Optimized CatBoost (DHO-CB) method for CKD seriousness prediction is presented in this research. Our approach takes advantage of CatBoost's built-in flexibility and resilience by incorporating an optimization framework inspired by deer hunting. This framework dynamically modifies model parameters to traverse intricate medical data environments. The standard CKD dataset is used to verify the suggested DHO-CB approach, and Python is the primary language used in this study. In terms of kappa coefficient (92.6%), f1-score metrics (97.7%), accuracy (97.2%), and specificity (95.5%), the effectiveness of the suggested DHO-CB approach is examined. Based on this analyzed data, our suggested DHO-CB approach outperforms other current approaches in CKD prediction as well as severity assessment. The suggested DHO-CB offers a viable path toward the creation of complex yet approachable medical decision support systems, which will promote increased accuracy and effectiveness in the identification and treatment of CKDs.

Mechanism of Chaihuang-Yishen formula to attenuate renal fibrosis in the treatment of chronic kidney disease: Insights from network pharmacology and experimental validation

Renal fibrosis represents a pivotal characteristic of chronic kidney disease (CKD), for which effective interventions are currently lacking. The Src kinase activates the phosphatidylinositol-3 kinases (PI3K)/Akt1 pathway to promote renal fibrosis, casting a promising target for anti-fibrosis treatment. Chaihuang-Yishen formula (CHYS), a traditional Chinese medicinal prescription, has a validated efficacy in the treatment of CKD, however, with the underlying mechanism unresolved. This study aimed to uncover the pharmacological mechanisms mediating the effect of CHYS in treating renal fibrosis using network pharmacology followed by experimental validation. The chemical compounds of CHYS were retrieved from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database or published literature, followed by the prediction of their targets using SwissTargetPrediction software. Disease (CKD/renal fibrosis)-related targets were retrieved from the Genecards database. Protein-protein interaction (PPI) network was generated using the drug-disease common targets and visualized in Cytoscape software. The drug-disease targets were further subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses by Metascape software. Additionally, the compound-target-pathway network was established in Cytosape to identify key compounds, targets, and pathways. Network pharmacology analysis screened out 96 active compounds and 837 potential targets within the 7 herbal/animal medicines of CHYS, among which 237 drug-disease common targets were identified. GO and KEGG analysis revealed the enrichment of fibrosis-related biological processes and pathways among the 237 common targets. Compound-target-pathway network analysis highlighted protein kinases Src and Akt1 as the top two targets associated with the anti-renal fibrosis effects of CHYS. In UUO mice, treatment with CHYS attenuates renal fibrosis, accompanied by suppressed expression and phosphorylation activation of Src. Unlike Src, CHYS reduced Akt1 phosphorylation without affecting its expression. In summary, network pharmacology and in vivo evidence suggest that CHYS exerts its anti-renal fibrosis effects, at least in part, by inhibiting the Src/Akt1 signaling axis.

Exercise and Cognitive Function in Chronic Kidney Disease: A Systematic Review and Meta-Analysis of Efficacy and Harms.

People living with chronic kidney disease (CKD) are at higher risk of cognitive impairment. Exercise may improve cognitive function. This systematic review and meta-analysis of randomized controlled trials (RCTs) was completed to determine the efficacy and harms of exercise in improving cognitive function in people living with CKD. A systematic literature review identified RCTs of people with any stage of CKD, with an intervention that exercised large-muscle groups, and with a validated outcome measure of cognitive function. First, harms were analyzed. Then a random-effects meta-analysis was completed with subsequent planned subgroup analyses to investigate heterogeneity between CKD stages and treatments, between different exercise types, durations and intensities, and between different outcome methodologies. Finally, quality of evidence was rated. Nineteen trials randomized 1160 participants. Harms were reported on 94 occasions in intervention groups vs. 83 in control. The primary analysis found that exercise had a small but statistically significant effect on cognition in CKD (effect size (ES) = 0.22; 95% confidence intervals (CI95) = 0.00, 0.44; P = 0.05). However, the quality of evidence was rated as low. Subgroup analyses found that type of exercise moderated the effect on cognition (χ2 = 7.62; P = 0.02), with positive effects only observed following aerobic exercise (ES = 0.57; CI95 = 0.21, 0.93; P = 0.002). Across the spectrum of CKD, exercise had a small but positive and clinically meaningful effect on cognitive function and did not appear to be harmful. Aerobic exercise was particularly beneficial. However, results must be interpreted cautiously due to the low quality of evidence. Nevertheless, care teams may choose to recommend aerobic exercise interventions to prevent cognitive decline. Researchers should design unbiased studies to clarify what intensity and duration of exercise is required to maximize efficiency of such exercise interventions.

Effects of Clinical Mutations in the Second Coordination Sphere and Remote Regions on the Catalytic Mechanism of Non-Heme Fe(II)/2-Oxoglutarate-Dependent Aspartyl Hydroxylase AspH.

Aspartyl/asparaginyl hydroxylase (AspH) catalyzes the post-translational hydroxylations of vital human proteins, playing an essential role in maintaining their biological functions. Single-point mutations in the Second Coordination Sphere (SCS) and long-range (LR) residues of AspH have been linked to pathological conditions such as the ophthalmologic condition Traboulsi syndrome and chronic kidney disease (CKD). Although the clinical impacts of these mutations are established, there is a critical knowledge gap regarding their specific atomistic effects on the catalytic mechanism of AspH. In this study, we report integrated computational investigations on the potential mechanistic implications of four mutant forms of human AspH with clinical importance: R735W, R735Q, R688Q, and G434V. All the mutant forms exhibited altered binding interactions with the co-substrate 2-oxoglutarate (2OG) and the main substrate in the ferric-superoxo and ferryl complexes, which are critical for catalysis, compared to the wild-type (WT). Importantly, the mutations strongly influence the energetics of the frontier molecular orbitals (FMOs) and, thereby, the activation energies for the hydrogen atom transfer (HAT) step compared to the WT AspH. Insights from our study can contribute to enzyme engineering and the development of selective modulators for WT and mutants of AspH, ultimately aiding in treating cancers, Traboulsi syndrome and, CKD.