Renal Disease Research Articles

Trends in Sickle Cell Disease Mortality: 1979–2020

BACKGROUND AND OBJECTIVES: Although sickle cell disease (SCD)-related childhood mortality in the United States significantly improved in the 1990s, unclear is the trend in SCD-related mortality more recently given the continued disparities faced by this minoritized population. In this analysis, we aimed to (1) compare the overall and age-specific mortality rates from 1999 to 2009 vs 2010 to 2020 with a particular focus on the age of transition and (2) determine the most common causes of death for the US SCD population for 2010 to 2020. METHODS: We analyzed publicly available data from the Centers for Disease Control and Prevention WONDER database, a compilation of national-level mortality statistics from 1979 to 2020 derived from death certificates compiled by the National Center for Health Statistics. We searched by all individuals of all ethnicities, sexes, and ages using the underlying cause of death. RESULTS: The crude mortality rate for individuals with SCD for 2010 to 2020 was 1.6 per 1 000 000 individuals, which was significantly lower than the period 1999 to 2009 (crude rate 1.7 per 1 000 000, P < .0001). In addition, the mean age at mortality of those with SCD was older in 2010 to 2020 (43 years) versus 1999 to 2009 (39 years). However, there remains a significant increase in mortality rate in the 20 to 24 year age group versus 15 to 19 years (1.7 per 1 000 000 versus 0.7 per 1 000 000, P < .0001), corresponding with the age of transition from pediatric to adult centers. In addition, 39% of underlying causes of death were not caused by SCD, but rather primarily chronic conditions, including cardiovascular, cerebrovascular, malignancy, and renal disease. The study has several limitations mostly because of the imperfections of administrative data sources, including inaccuracies in diagnoses codes, risking over or undercounting. CONCLUSIONS: Although the US SCD-related mortality rate continues to decrease, the age of transition to adult care is a particularly vulnerable time in the lives of this marginalized group. Innovative and expanded approaches to care are greatly needed.

A combination of clinical, electrocardiographic, and echocardiographic parameters predicts pulmonary hypertension occurrence in patients with end-stage renal disease

BackgroundPulmonary hypertension (PH) in patients with end-stage renal disease (ESRD) has a high incidence rate and mortality and its early identification is critical. However, whether a combination of clinical, electrocardiographic, and echocardiographic parameters can predict the occurrence of PH in patients with ESRD remains to be elucidated. Herein, we evaluated the predictive value of the combined score of these parameters.MethodsData from 370 patients with newly diagnosed ESRD who underwent routine echocardiography and electrocardiography between May 2016 and May 2017 were retrospectively evaluated. The incidence of PH during a 60-month follow-up period was investigated. Twenty-one patients were excluded due to incomplete data among other reasons. Finally, 349 patients were included in the analysis, of whom, 158 (45%) developed PH.ResultsAnalysis of electrocardiogram reports suggested that a corrected Q-T interval (QTc) of >438.5 ms was associated with PH. Echocardiographic reports suggest that left atrial diameter (LAD), interventricular septum thickness in end-diastole (IVSd), stroke volume (SV), and pericardial effusion are also associated with PH development. Results of multivariate Cox analysis showed that LAD >3.785 cm, IVSd >1.165 cm, SV >79.5 ml, QTc >438.5 ms, and pericardial effusion were independent predictors of PH in patients with ESRD. The incidence of new-onset PH increased significantly with increasing composite scores, that is, the sum of risk scores determined using hazard ratios.ConclusionsA total score that includes a combination of parameters such as LAD >3.785 cm, IVSd>1.165 cm, SV >79.5 ml, QTc >438.5 ms, and pericardial effusion can help describe the risk of new-onset PH.

Comparison of functional outcome after intracerebral hemorrhage in patients with or without end stage renal disease on hemodialysis: a propensity-score matched study

Abstract Background End stage renal disease (ESRD) requiring hemodialysis (HD) increases mortality among patients with intracerebral hemorrhage (ICH). The aim of this study is to investigate the clinical characteristics and outcome of ICH patients with ESRD on HD versus propensity-score matched controls. Methods This is a single center retrospective study. Consecutive ICH admissions at the University of California, Irvine Medical Center from January 1, 2018 to July 31, 2022 were analyzed. Results Among 347 ICH admissions that met inclusion criteria, 24 patients (6.92%) had ESRD on HD. Compared to patients without ESRD, patients with ESRD on HD had significantly higher rate of diabetes mellitus (79.2% vs. 36.8%, p < 0.01) and in-hospital mortality (25% vs. 7.43%, p < 0.01). There were no significant differences in demographics, other comorbidities, clinical characteristics, good (mRS score 0–3) or poor (mRS score 4–5) functional outcomes, rate of comfort care and the time to comfort care decision between the 2 groups. After propensity score matching, the ESRD group had a significantly higher in-hospital mortality rate (27.3% vs. 8%, p = 0.012) and a lower rate of obesity (9.1% vs. 34.1%, p = 0.02). Among patients who died during admission, ESRD on HD status did not inadvertently influence end-of-life care decisions. Univariate logistic regression and area under curve analysis showed that ICH score ≥ 3 was a predictor of increased mortality in both ESRD and non-ESRD groups. Conclusions ICH patients with ESRD on HD had significantly higher in-hospital mortality and lower rate of obesity than propensity score matched controls, suggesting a survival benefit from obesity. ICH score ≥ 3 is an independent predictor for poor outcomes in both ESRD and non-ESRD groups.

The advance of single cell transcriptome to study kidney immune cells in diabetic kidney disease.

Diabetic kidney disease (DKD) is a prevalent microvascular complication of diabetes mellitus and a primary cause of end-stage renal disease (ESRD). Increasing studies suggest that immune cells are involved in regulating renal inflammation, which contributes to the progression of DKD. Compared with conventional methods, single-cell sequencing technology is more developed technique that has advantages in resolving cellular heterogeneity, parallel multi-omics studies, and discovering new cell types. ScRNA-seq helps researchers to analyze specifically gene expressions, signaling pathways, intercellular communication as well as their regulations in various immune cells of kidney biopsy and urine samples. It is still challenging to investigate the function of each cell type in the pathophysiology of kidney due to its complex and heterogeneous structure and function. Here, we discuss the application of single-cell transcriptomics in the field of DKD and highlight several recent studies that explore the important role of immune cells including macrophage, T cells, B cells etc. in DKD through scRNA-seq analyses. Through combing the researches of scRNA-seq on immune cells in DKD, this review provides novel perspectives on the pathogenesis and immune therapeutic strategy for DKD.

Discussion on the treatment of diabetic kidney disease based on the "gut-fat-kidney" axis.

Diabetic kidney disease is the main cause of end-stage renal disease, and its prevention and treatment are still a major clinical problem. The human intestine has a complex flora of hundreds of millions of microorganisms, and intestinal microorganisms, and their derivatives are closely related to renal inflammatory response, immune response, and material metabolism. Brown adipose tissue is the main part of adaptive thermogenesis. Recent studies have shown that activating brown fat by regulating intestinal flora has good curative effects in diabetic kidney disease-related diseases. As an emerging medical concept, the "gut-fat-kidney" axis has received increasing attention in diabetic kidney disease and related diseases. However, the specific mechanism involved needs further study. A new theoretical basis for the prevention and treatment of diabetic kidney disease is presented in this article, based on the "gut-fat-kidney" axis.

Clinical characteristics of monoclonal immunoglobulin-associated renal disease: a retrospective cohort study.

Clinical epidemiological data on monoclonal gammopathy of renal significance (MGRS) are lacking. In this retrospective observational study, MGRS was compared with B-cell or plasma cell malignancies (BCM/PCM) with renal involvement to clarify differences in their clinical features. Among the 1408 renal biopsies performed at our hospital, 25 MGRS and 18 BCM/PCM patients were identified. We investigated baseline characteristics and hematologic parameters of MGRS in reference to BCM/PCM using multivariable analysis. Cox proportional hazards analysis was performed for end-stage kidney disease (ESKD) and all-cause mortality. Comparing the MGRS with the BCM/PCM, meandifferences in creatinine level, estimated glomerular filtration rate, and clonal bone marrow plasma cell percentage were -2.76mg/dL, 27.72mL/min/1.73m2, and -18.86%, respectively (all P < 0.001). MGRS group had a predominance of glomerular lesions such as immunoglobulin-associated amyloidosis, cryoglobulinemic GN, and MIDD, and a lower risk of acute kidney injury/acute renal disease compared to BCM/PCM. During a median observation period of 23.7months, clone-directed therapy was performed in 32.0% of patients in the MGRS group, compared to 83.3% of patients in the BCM/PCM group. Compared with BCM/PCM, MGRS had a hazard ratio of 0.66 (95% confidence interval (CI) 0.23-1.92, P = 0.45) for ESKD and 0.33 (95% CI 0.11-1.03, P = 0.06) for death in multivariate logistic regression analysis. The clinical characteristics of MGRS and BCM/PCM with monoclonal immunoglobulin-associated renal disease are disparate. Understanding these differences is crucial for developing tailored clinical approaches and therapeutic strategies to improve patient outcome.

Clinical Spectrum of Monoclonal Protein and the Factors Associated with Lymphoplasmacytic Malignancies

Background: Monoclonal protein (MP) presents in various monoclonal gammopathies, ranging from benign conditions such as monoclonal gammopathy of undetermined significance (MGUS) to life-threatening conditions such as lymphoplasmacytic malignancies (LPMs), which include multiple myeloma (MM) and Waldenström macroglobulinemia (WM). Few studies have comprehensively assessed the clinical spectrum of MP and its factors associated with LPMs. This study aimed to determine the clinical spectrum of MP and identify factors associated with LPMs. Methods: This retrospective study included patients who were first tested for capillary electrophoresis (CEP) and identified as having MP between 2014 and 2023 at two university hospitals. Univariate (crude) and multivariate (adjusted) logistic regression analyses were performed to identify factors associated with LPMs. Results: Among the 1135 included patients with MP, 744 (65.6%) were diagnosed with LPMs and 391 (34.4%) with MGUS. Among the 391 patients with MGUS, 310 (79.3%) had at least 1 clinical association, including 204 with renal diseases, 35 with autoimmune diseases, 33 with chronic liver diseases, 22 with hematologic diseases, and 96 with other conditions. Multivariate analyses indicated that LPMs were associated with female sex (OR = 2.08), lower age (OR = 0.95), higher MP level (OR = 3.53), an abnormal FLC ratio (OR = 6.15), lower hemoglobin level (OR = 0.82), and higher total calcium level (OR = 1.81) (all p &lt; 0.05). Conclusions: This study provides insight into the distribution of MPs and their clinical association with MGUS and identifies factors related to LPM. These can help clinicians manage patients more effectively in the early stages of these conditions.

Development and Evaluation of User‐Friendly Modeled Approach for Sustainable Polymer Membranes for Advanced Hemodialysis

AbstractHemodialysis is crucial for patients with end‐stage renal disease, yet evaluating its operating parameters often requires complex mathematical models. To simplify this process, user‐friendly modules have been developed to accurately assess key parameters with minimal inputs, enabling users to track disease prognosis. These modules incorporate governing equations and allow straightforward analysis. Validation against experimental data from polymer membrane studies demonstrated that at a blood flow rate of 300 mL min−1, the model predicted a clearance of 262 mL min−1, showing 7% difference from the actual value of 281 mL min−1. At a dialysate flow of 400 mL min−1, the model's predicted clearance was 286.47 mL min−1, with only a 1% difference compared to previous model. The module also showed 40% higher clearance in counter‐current flow compared to co‐current, with a 47% difference at 400 mL min−1 dialysate flow. Increasing the hollow fibre length from 27 to 50 cm led to a 4% clearance increase. Additionally, increasing residual renal clearance by 0.5 mL min−1 doubled the standard Kt V−1 Kt/V, and similar effects were seen by increasing weekly hemodialysis sessions. The app allows simulations, plots, and comparisons with minimal inputs and can be integrated into MATLAB or other platforms, benefiting both patients and researchers in prognosis and treatment analysis.

Oxidative Stress in Canine Diseases: A Comprehensive Review

Oxidative stress (OS), defined as a disruption in redox balance favoring oxidants, has emerged as a major contributor to numerous diseases in human and veterinary medicine. While several reviews have explored the implication of OS in human pathology, an exhaustive review of the canine species is lacking. This comprehensive review aims to summarize the existing literature on the role of OS in canine diseases, highlighting its potentially detrimental effect on various organs and systems. Some inconsistencies among studies exist, likely due to varying biomarkers and sample types. However, there is substantial evidence supporting the involvement of OS in the development or progression of numerous canine disorders, such as cardiovascular, oncologic, endocrine, gastrointestinal, hematologic, renal, neurologic, infectious, and parasitic diseases, among others. Additionally, this review discusses the efficacy of antioxidant and pro-oxidant therapeutic agents for these conditions. Dietary interventions to counteract OS in dogs have gained significant attention in recent years, although further research on the topic is needed. This review aims to serve as a foundational resource for future investigations in this promising field.

The diagnostic utility of urinary Transferrin excretion rate as predictor for micro albuminuria in patients with Type 2 Diabetes Mellitus among Karbala province

One of the factors responsible of end-stage renal disease and chronic kidney disease is diabetic nephropathy. Microalbuminuria itself is regarded as the initial indication of diabetic nephropathy, and it affects 20% to 40% of patients with diabetes mellitus. Because of the limited accuracy and precision of microalbuminuria, more susceptible markers may be developed to more accurately identify diabetic nephropathy early on. The purpose of this research was to ascertain whether urine transferrin could be used as a marker for diabetic nephropathy. In our research, 80 subjects with type 2 diabetes were divided into two categories: 10 healthy controls and group 1 (normoalbuminuric, with albumin excretion up to 30 mg/d) and group 2 (microalbuminuric, with albumin excretion between 30 and 300 mg/d). all subjects was over the age of 18, had diabetes for further than a year, and had a glomerular filtration rate greater than 60 mL/min/1.73 m2. The concentration of transferrin, serum creatinine, and glycosylated hemoglobin (HbA1c) in both spot urine and 24-hour urine samples were assessed using a super accurate sandwich enzyme - linked immunosorbent assay kit. subjects with microalbuminuria had substantially greater urinary transferrin levels than both normoalbuminuric and healthy control participants. We discovered a significantly positive correlation r = 0.584 (p &lt; 0.001) when we compared these categories based on the urinary transferrin concentration. Urinary transferrin levels did not correlate with glycoregulation, and neither did transferrin levels and the length of diabetes. Urinary transferrin levels may be utilized as an important indicator of diabetic nephropathy, according to the findings of the research.

Insights into fetomaternal outcomes in pre-eclampsia: A tertiary care center descriptive study

Preeclampsia and eclampsia remain significant challenges in both maternal and perinatal health worldwide, with a pronounced impact in regions such as India, where access to comprehensive maternal care can be limited. The objective of this study was to examine the outcomes for both mothers and babies, along with the complications linked to severe cases of preeclampsia and eclampsia, within a tertiary healthcare facility situated in South India. : Sixty-five pregnant women diagnosed with severe preeclampsia or eclampsia were enrolled in this descriptive observational study conducted at a tertiary care teaching hospital, Chennai, spanning from March 2023 to December 2023. Inclusion criteria comprised women with singleton pregnancies exhibiting severe preeclampsia (defined by blood pressure ≥160/110 mmHg and 1+ or more albuminuria) or eclampsia. Exclusion criteria included chronic hypertension, multiple pregnancies, chronic renal disease, connective tissue disorder, neurological complications, and refusal of consent. Data on sociodemographic variables, obstetric characteristics, maternal symptoms, and complications were collected using a structured questionnaire. Maternal and fetal well-being were assessed through biochemical, radiological, and nonstress tests.: The results revealed that 80% of the study population with severe preeclampsia or eclampsia fell within the age group of 21-30 years, with 49.2% aged between 26-30 years. Majority (60%) were primigravida. Common maternal symptoms included headache (60%), oedema (76.9%), with fewer experiencing epigastric pain (3.1%) and vaginal bleeding (15.4%). Complications observed were HELLP syndrome (12.35%), placental abruption (7.7%), and eclampsia (10.8%). Perinatal outcomes included intrauterine fetal death (4.6%), fetal growth retardation (23.1%), low birth weight (30.8%), respiratory distress syndrome (4.6%), and stillbirth (1.5%), with 35.4% being normal births.This study emphasises the substantial impact of severe preeclampsia and eclampsia on the health of both mothers and fetuses, underscoring the importance of thorough antenatal care, prompt identification of risk factors, and timely interventions to minimise negative consequences. There is a clear call for additional research to investigate and implement effective strategies for prevention and management, aiming to decrease the morbidity and mortality rates associated with these hypertensive disorders during pregnancy.

Impact of Metabolic Syndrome Traits on Kidney Disease Risk in Individuals with MASLD: A UK Biobank Study.

The impact of metabolic syndrome (MetS) traits on chronic kidney disease (CKD) risk in metabolic dysfunction-associated steatotic liver disease (MASLD) is unknown. We investigated the impact of type and number of MetS traits and liver fibrosis on prevalent CKD and incident end-stage renal disease (ESRD) risk in SLD. 234 488 UK Biobank participants' were analysed. Hepatic steatosis index (> 36 for SLD, < 30 for no SLD) and MRI-proton density fat fraction (≥ 5.56%) were used to identify SLD. MetS traits were identified using MASLD criteria. Advanced fibrosis (FIB-4 score > 2.67) was determined using FIB-4 scores. eGFR < 60 mL/min/1.73 m2 or albuminuria > 3 mg/mmol identified prevalent CKD. A validated algorithm identified incident ESRD. Binary logistic and Cox regressions were used to test associations with prevalent CKD ([adjusted odds ratios (ORs)]) and incident ESRD (adjusted hazard ratios [HRs]) respectively. 102 410 participants (41.2%) had SLD. 64.4% had MetS. 1.3% had FIB-4 score > 2.67. With SLD and only one MetS trait, hypertension (OR 1.35, 95% CI 1.35-1.72) or type 2 diabetes (T2D) (OR 1.89, 95% CI 1.06-3.38) increased risk of prevalent CKD. MetS (≥ 3 traits) increased prevalent CKD risk (OR 1.94, 95% CI 1.75-2.15), which was further increased by advanced liver fibrosis (OR 4.29, 95% CI 3.36-5.47). CKD prevalence increased with increasing MetS traits. Over 13.6 years (median follow-up), MetS was associated with increased risk of developing ESRD (HR 1.70, 95% CI 1.19-2.43). In MASLD, hypertension, and T2D, number of MetS traits and liver fibrosis increased risk of prevalent CKD and presence of MetS increased the risk of incident ESRD.

Exploring the Potential of Claude 3 Opus in Renal Pathological Diagnosis: Performance Evaluation.

Artificial intelligence (AI) has shown great promise in assisting medical diagnosis, but its application in renal pathology remains limited. We evaluated the performance of an advanced AI language model, Claude 3 Opus (Anthropic), in generating diagnostic descriptions for renal pathological images. We carefully curated a dataset of 100 representative renal pathological images from the Diagnostic Atlas of Renal Pathology (3rd edition). The image selection aimed to cover a wide spectrum of common renal diseases, ensuring a balanced and comprehensive dataset. Claude 3 Opus generated diagnostic descriptions for each image, which were scored by 2 pathologists on clinical relevance, accuracy, fluency, completeness, and overall value. Claude 3 Opus achieved a high mean score in language fluency (3.86) but lower scores in clinical relevance (1.75), accuracy (1.55), completeness (2.01), and overall value (1.75). Performance varied across disease types. Interrater agreement was substantial for relevance (κ=0.627) and overall value (κ=0.589) and moderate for accuracy (κ=0.485) and completeness (κ=0.458). Claude 3 Opus shows potential in generating fluent renal pathology descriptions but needs improvement in accuracy and clinical value. The AI's performance varied across disease types. Addressing the limitations of single-source data and incorporating comparative analyses with other AI approaches are essential steps for future research. Further optimization and validation are needed for clinical applications.

Traditional Plants Based Treatment for Kidney Stones: Insight into Herbal Drugs

The deposition of hard crystals created by mineral or salt buildup in the urine canal leads to kidney stones, a frequent urinary tract issue. Urine flow obstruction and excruciating discomfort can be caused by kidney stones. Numerous processes can lead to oxidative stress, which raises the probability of kidney stones developing. The inflammatory response that results from kidney stones forming exacerbates oxidative stress further, creating a vicious cycle. This urological condition, which affects both male and female populations, is becoming more widespread worldwide. Planning the volume of urine produced is a crucial stage in the elimination of kidney stones. Surgery such as shock wave lithotripsy (SWL) and ureteroscopy (URS) is used to treat conditions when the stone has ceased passing through and is causing excruciating discomfort. Because of their medicinal and antioxidant properties, as well as their active substances, medicinal plants have positive benefits on human health. Regrettably, end-stage renal disease is frequently the consequence of side effects brought on the traditional medications used to treat nephrolithiasis. Kidney stones can be avoided by controlling nutrition intake, medication usage, and diet. Agents that are urolithotriptic are medicinal herbs. Examining the natural plants that are utilized to treat the illness is the goal of this review. Finding natural plants that can be used to cure kidney stones was made easier by this review. Keywords: Kidney stones, Urolithiasis, diuresis, herbal drug, calcium oxalate stone

Methyltransferase-like 3 represents a prospective target for the diagnosis and treatment of kidney diseases.

Kidney disease is marked by complex pathological mechanisms and significant therapeutic hurdles, resulting in high morbidity and mortality rates globally. A deeper understanding of the fundamental processes involved can aid in identifying novel therapeutic targets and improving treatment efficacy. Current comprehensive data analyses indicate the involvement of methyltransferase-like 3 (METTL3) and its role in RNA N6-methyladenosine methylation in various renal pathologies, including acute kidney injury, renal fibrosis, and chronic kidney disease. However, there is a paucity of thorough reviews that clarify the functional mechanisms of METTL3 and evaluate its importance in enhancing therapeutic outcomes. This review seeks to systematically examine the roles, mechanisms, and potential clinical applications of METTL3 in renal diseases. The findings presented suggest that METTL3 is implicated in the etiology and exacerbation of kidney disorders, affecting their onset, progression, malignancy, and responsiveness to chemotherapeutic agents through the regulation of specific genetic pathways. In conclusion, this review underscores a detrimental correlation between METTL3 and kidney diseases, highlighting the therapeutic promise of targeting METTL3. Additionally, it offers critical insights for researchers concerning the diagnosis, prognosis, and treatment strategies for renal conditions.

Prognosis of apparent treatment-resistant hypertension and poor adherence: a nationwide cohort study.

Large-scale studies of the prognosis of resistant hypertension in Asian populations are limited, and the impact of poor adherence on clinical prognosis in patients with apparent treatment-resistant hypertension has not been studied. A nationwide cohort analysis was done utilizing the National Health Insurance Service database in Korea, covering patients who participated in health examinations from 2013 to 2018. A total of 935,002 patients were classified into apparent treatment-resistant (N = 69,372) or nonresistant (N = 865,630) hypertension based on blood pressure control and antihypertensive medication use. Medication adherence was assessed using the proportion of days covered. The primary composite outcome included all-cause mortality, myocardial infarction, stroke, and heart failure. Other outcomes were the development of atrial fibrillation and progression to end-stage renal disease (ESRD). The median follow-up duration was 6.0 (interquartile range [IQR], 4.1-7.0) years. Patients with apparent treatment-resistant hypertension were at a higher risk for the primary composite outcome than those with nonresistant hypertension (hazard ratio [HR], 1.32; 95% confidence interval [CI], 1.29-1.35). The incidence rates of ESRD were notably higher in the resistant hypertension group (HR, 3.02; 95% CI, 2.85-3.20). Among participants with resistant hypertension, 3852 (5.7%), 11,667 (17.3%), and 51,879 (77%) had poor, suboptimal, and optimal adherence, respectively. Poor medication adherence in apparent treatment-resistant hypertension was associated with a higher risk of the primary composite outcome compared to optimal adherence (HR, 1.49; 95% CI, 1.36-1.63). Apparent treatment-resistant hypertension is associated with significant cardiovascular risks in the Korean population. Poor adherence to antihypertensive medication significantly elevates the risk of adverse clinical outcomes in patients with apparent treatment-resistant hypertension, underscoring the need for stringent management of these patients.

Molecular Mechanism of Finerenone in Treating Diabetic Nephropathy Based on Bioinformatics

Background: Diabetic Nephropathy (DN) is the leading cause of the end-stage renal disease (ESRD). Finerenone (with the molecular formula C21H22N4O3) is an oral non-steroidal mineralocorticoid antagonist (ns-MRA) that is both highly potent and has strong selectivity for the MR. At present, it has been used to treat DN. However, the molecular mechanism of finerenone in the treatment of diabetic nephropathy remains unclear. Objective: In this study, we employed bioinformatics approaches to investigate the molecular mechanism of finerenone as a novel therapeutic agent for the treatment of DN. Methods: We examined a number of databases, including GEO, DisGeNET, Genecards, and OMIM, to find putative genes linked to DN. We then employed the PubChem database and PharmMapper service platform to identify targets of finerenone. Further analysis was conducted using the DAVID database for enrichment analysis and the STRING database for protein-protein interaction (PPI) networks. Molecular docking (MD) was performed using AutoDockTools software, and results were visualized using PyMOL software. Results: In total, we identified 82 drug-disease targets, primarily associated with lipid and atherosclerosis, diabetic cardiomyopathy, MAPK signaling pathway, and PI3K-Akt signaling pathway. Our PPI network analysis and docking studies demonstrated good binding ability of finerenone to specific targets such as AKT1, MMP-9, IGF1, EGFR, CASP3, PPARG, ESR1, MMP-2, and KDR. Conclusion: Finerenone has the potential to reduce the progression of DN through various pathways, including lipid and atherosclerosis, diabetic cardiomyopathy, MAPK signaling pathway, and PI3KAkt signaling pathway. Moreover, it could exert anti-inflammatory and antifibrotic effects on specific targets, such as AKT1, MMP-9, IGF1, EGFR, CASP3, PPARG, ESR1, MMP-2, and KDR.

Lower risk of end stage renal disease in diabetic nurse

Lower risk of end stage renal disease in diabetic nurse

Effect of omega-3 fatty acids supplementation on muscle mass, fat mass, and visceral fat of hemodialysis patients; A randomized clinical trial.

Several studies demonstrated the benefits of omega-3 fatty acids supplementation in chronic kidney disease (CKD) patients. The objective of this study was to investigate the effect of omega-3 fatty acids supplementation in body composition, specifically on the lean body mass and fat mass in hemodialysis patients. In this randomized, double-blind, placebo-controlled clinical trial, a total of 120 end-stage renal disease (ESRD) patients were randomly allocated into two groups. The intervention group has taken three grams of omega-3 fatty acids daily while the placebo group received three grams of medium chain triglycerides (MCT) as a placebo for a total of 2months. The changes in the body mass index (BMI) and body composition (fat mass, muscle, and visceral fat) were assessed at baseline and following the intervention. No significant difference was found in the mean of BMI, FAT, muscle, and visceral fat in the intervention group compared to the control group after the intervention. After two months of omega-3 fatty acid supplementation, the study found no statistically significant impact of omega-3 fatty acids supplementation on various indices of body composition. The effect of ω-3 supplementation in reducing visceral fat was close to significant (p=0.08). This study suggests that there is currently inadequate evidence to support the effect of omega-3 fatty acid supplementation in improving anthropometric measurements in patients with CKD, except a partial effect on visceral fat. Further large-scale and long-term clinical trials are needed to confirm the present results.

COVID-19 and pregnancy: a comprehensive study of comorbidities and outcomes.

This study aimed to investigate the impact of pregnancy and pre-existing comorbidities on COVID-19 infections and associated complications of hospitalisation and mortality in women of reproductive age (WRA). The study also compared the risk of severe COVID-19 complications between pregnant women (PW) and non-pregnant women (NPW) with and without pre-existing comorbidities. Special focus was placed on some understudied comorbidities of immunosuppression, chronic renal disease and chronic obstructive pulmonary disease (COPD). The study utilized anonymized patient-related information for a population of 7,342,869 WRA from the Mexican Ministry of Health data repository on COVID-19. Descriptive variables were characterized using frequencies, percentages, means, and standard deviations. Adjusted odds ratios (aORs) were used to assess the associations between risk factors and outcomes of hospitalisation and mortality. The study covered the entire COVID-19 pandemic period from January 30, 2020, to May 5, 2023. The findings revealed that PW were not more likely to get COVID-19 infections than NPW. PW with COVID-19 infections were more likely to require hospital admission, intubation treatments, and ICU admission compared to NPW with COVID-19. PW with immunosuppression had an increased odds ratio (aOR) of getting COVID-19 infections compared to NPW (PW: aOR = 1.0396; NPW: aOR = 0.8373). NPW with immunosuppression had higher risk of mortality (all-cause death: aOR = 1.7084; COVID-19-associated death: aOR = 1.4079) and hospitalisation (all-cause hospitalisation: aOR = 4.1328; COVID-19-associated hospitalisation: aOR = 3.0451) than NPW without immunosuppression. Renal disease was identified as a concerning pre-existing condition that increased the risks of COVID-19 associated mortality/hospitalizations and all-cause mortality/hospitalizations for both PW and NPW. NPW with renal disease had much higher odds ratio (aOR) of either COVID-19-associated-hospitalisations (NPW: aOR = 8.639; PW: aOR = 1.7603) or all-cause hospitalisations (NPW: aOR = 8.8594; PW: aOR = 1.786) than PW with renal disease. This study provides valuable insights into the impact of pregnancy and pre-existing comorbidities on COVID-19 outcomes in WRA. The findings underscore the importance of considering demographic factors and pre-existing comorbidities in the management of PW with COVID-19. The study also highlights the need for further research to understand the unique impacts of different comorbidities, particularly immunosuppression and renal disease, on COVID-19 outcomes in WRA.