Global, regional, and national burden inequality of chronic kidney disease, 1990–2021: a systematic analysis for the global burden of disease study 2021

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 11

Published: Jan. 15, 2025

Chronic kidney disease (CKD) is a significant global health issue, often linked to diabetes, hypertension, and glomerulonephritis. However, aggregated statistics can obscure heterogeneity across subtypes, age, gender, regions. This study aimed analyze CKD trends from 1990 2021, focusing on socio-demographic index (SDI), regional variations. Data were extracted the Global Burden of Disease (GBD) 2021 database, covering prevalence, incidence, mortality, disability-adjusted life years (DALYs). These presented as counts per 100,000 population age-standardized rates, with uncertainty intervals (UIs) highlight variability. Joinpoint regression was used assess over 30-year period. In prevalence 359 million, 11.13 million new cases, 1.53 deaths, 44.45 DALYs-up 92, 156, 176, 114% since 1990. While slightly declined, DALYs increased significantly. burden varied by region notable gender disparities. The highlights dramatic rise in growth aging, emphasizing need for targeted treatment effective healthcare policies.

Language: Английский

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Antidiabetic Properties of Caffeoylmalic Acid, a Bioactive Natural Compound Isolated from Urtica dioica

Fitoterapia, Journal Year: 2024, Volume and Issue: 176, P. 106024 - 106024

Published: May 18, 2024

The uncontrolled hyperglycemia that characterizes diabetes mellitus (DM) causes several complications in the organism. DM is among major of deaths, and limited efficacy current treatments push search for novel drug candidates, also natural compounds. We focused our attention on caffeoylmalic acid, a phenolic derivative extracted from Urtica dioica, plant investigated its potential against type 2 DM. This compound was tested antidiabetic activity vitro through glucose uptake assay, vivo mouse model molecular docking towards α-amylase α-glucosidase. effects blood level, liver enzymes, insulin creatinine levels as well lipid parameters, considered biochemical markers diabetes, were evaluated. results showed an vivo, stimulates absorbtion reduces levels. Moreover, it ameliorates profile, with moderate effect secretion. Taken together, these findings pave way compounds this class acid

Language: Английский

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Study on influencing factors of age-adjusted Charlson comorbidity index in patients with Alzheimer's disease based on machine learning model

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 27, 2025

Background Alzheimer's disease (AD) is a widespread neurodegenerative disease, often accompanied by multiple comorbidities, significantly increasing the risk of death for patients. The age adjusted Charlson Comorbidity Index (aCCI) an important clinical tool measuring burden comorbidities in patients, closely related to mortality and prognosis. This study aims use MIMIC-V database various regression machine learning models screen validate features aCCI, providing theoretical basis personalized management AD Methods research data sourced from database, which contains detailed information Multiple logistic regression, LASSO random forest, Support Vector Machine (SVM), Extreme Gradient Boosting (XGBoost) were used feature factors correlated with aCCI. By comparing model performance, evaluating classification ability prediction accuracy each method, ultimately selecting best construct nomogram. performance evaluated through accuracy, net benefit, robustness. selection results validated analysis. Results have performed well classifying aCCI among constructed using screening has highest benefit. identified following 11 aCCI: age, respiratory rate, base excess, glucose, red blood cell distribution width (RDW), alkaline phosphatase (ALP), whole potassium, hematocrit (HCT), phosphate, creatinine, mean corpuscular hemoglobin (MCH). column chart based on these enables intuitive patients high probability, convenient tool. Conclusion this indicate that screened predictive can improve factor provides guidance precise treatment

Language: Английский

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Genetic and circulating biomarkers of cognitive dysfunction and dementia in CKD

Nephrology Dialysis Transplantation, Journal Year: 2025, Volume and Issue: 40(Supplement_2), P. ii64 - ii75

Published: March 1, 2025

ABSTRACT Chronic kidney disease (CKD) is commonly accompanied by cognitive dysfunction and dementia, which, in turn, increase the risk of hospitalization, cardiovascular events death. Over last 30 years, only four studies focused on genetic markers impairment CKD failure (KF), indicating a significant gap research. These suggest potential predispositions to decline patients but also underscore necessity for more comprehensive studies. Seventeen reports have established connections between function such as estimated glomerular filtration rate (eGFR), Cystatin C albuminuria. A rapid eGFR has been associated with deterioration vascular mild moderate reductions diminished executive elderly men. Various biomarkers Alzheimer's or dementia KF. include amyloid beta phosphorylated tau proteins, uremic toxins, gut microbiota, metabolic indicators, hypertension, endothelial dysfunction, vitamins inflammation. However, causal relevance these associations remains unclear. Overall, available evidence points complex interplay different health patients, underscoring need research elucidate relationships.

Language: Английский

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The Vicious Consequences of Chronic Kidney Disease on Cognitive Impairment and Alzheimer’s Disease

ACS Chemical Neuroscience, Journal Year: 2025, Volume and Issue: unknown

Published: May 9, 2025

Chronic kidney disease (CKD) and Alzheimer's (AD) are two prevalent debilitating conditions that frequently coexist, with CKD contributing to cognitive decline potentially exacerbating AD pathology. In CKD, irreversible changes in the structure or function of kidneys observed, while is primarily marked by amyloid deposition tau Both involve complex multifactorial pathophysiology affecting brain functioning, highlighting need for comprehensive research understand their potential crosstalk. This review articulates possible molecular mechanisms underlying both diseases, focusing on key pathways, including oxidative stress, inflammation, vascular dysfunction, hypertension, uremic toxin accumulation. These interconnected suggest a bidirectional relationship where dysfunction accelerates vice versa. Additionally, we examine critical risk factors implicated AD, instance, vitamin D deficiency, erythropoietin dysregulation, endothelin action, klotho gene expression, role extracellular vesicle, which may influence progression through effects brain, influencing function. Further, emphasized biomarkers could aid diagnosing monitoring these comorbid conditions, like beta, tau, homocysteine, cystatin C, creatinine, proteinuria, estimated glomerular filtration rate. Lastly, highlights treatment strategies managing concurrently, therapeutic approaches address common pathophysiological mechanisms. not only aim causes but also offer slow even prevent impairment. Moreover, recommend further refine approaches, execute correlational studies progression, design clinical trials aiming establish effective, tailored treatments this dual burden disease.

Language: Английский

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Correlation Between Nutritional Status and Mental Well-being Among Older Adults

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: May 13, 2025

Following global population aging, a growing trend of malnutrition among older adults has been observed. This not only places greater burden on health care but also increases the risks disability, falls, and death. Malnutrition may raise risk dementia depression. study explored impact mental state by evaluating their nutritional status. A cross-sectional dataset was used, including demographic information, status, physical function assessment, medical history, cognitive geriatric depressive tendencies. total 299 outpatients were enrolled, with mean age 73.82 ± 5.35 years. Compared group, normal nutrition group showed lower proportions impairment (9.58%) tendencies (3.75%), while had higher rates (25.42%) (20.34%). Results from adjusted logistic regression analysis indicated that maintaining status significantly protected against Overall, function, strongly correlated.

Language: Английский

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Development and validation of a nomogram of all-cause mortality in adult Americans with diabetes

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Aug. 19, 2024

This study aimed to develop and validate a predictive model of all-cause mortality risk in American adults aged ≥ 18 years with diabetes. 7918 participants diabetes were enrolled from the National Health Nutrition Examination Survey (NHANES) 1999-2016 followed for median 96 months. The primary endpoint was mortality. Predictors included age, Monocytes, Erythrocyte, creatinine, Risk Index (NRI), neutrophils/lymphocytes (NLR), smoking habits, alcohol consumption, cardiovascular disease (CVD), urinary albumin excretion rate (UAE), insulin use. c-index 0.790 (95% CI 0.779-0.801, P < 0.001) 0.792 CI: 0.776-0.808, training validation sets, respectively. area under ROC curve 0.815, 0.814, 0.827 0.812, 0.818 0.829 sets at 3, 5, 10 follow-up, Both calibration plots DCA curves performed well. provides accurate predictions death persons its scores can effectively determine outpatients, providing guidance clinical decision-making predicting prognosis patients.

Language: Английский

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Development and verification of a machine learning-driven predictive model for cognitive impairment in Age-related Hearing Loss

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 10, 2024

Objective: The objective is to utilize machine learning algorithms create a predictive model for cognitive impairment in age-relate hearing loss. Methods:For this study, we gathered demographic information, conducted audiometric examinations, assessed abilities, and performed blood biochemical tests using data from NHANES. We then identified patients who fit the criteria based on NHANES criteria. The LASSO regression method was employed identify determinants of age-related Additionally, five different were utilized develop population. Data clinical trials between January 2024 May externally validate model's dependability. Results:The study comprised total 521 elderly adults with loss, out which 140 (26.8%) had impairment. used filter factors: education level, alkaline phosphatase, globulin, creatinine, eosinophil percentage. All these predictors included approach training model.The XGB exhibited consistent performance both set (AUC=0.881) test (AUC=0.868), while also demonstrating moderate level discrimination (AUC=0.706). Conclusion:This successfully developed loss learning. demonstrates satisfactory reliability validity across several datasets. utilization models can serve as potent instrument healthcare providers detecting senior population at an early stage.

Language: Английский

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Potential Biomarkers for Neurobrucellosis Diagnosis and Treatment Based on Cerebrospinal Fluid Metabolomics Analysis

Rapid Communications in Mass Spectrometry, Journal Year: 2024, Volume and Issue: 39(3)

Published: Nov. 27, 2024

Zhenzhu Tongluo pills (ZZTL) have been utilized for the treatment of neurobrucellosis (NB) in Inner Mongolia region China. However, specific mechanism underlying neuroprotective effects ZZTL NB remains insufficiently explored. Therefore, this study aimed to analyze metabolite profiles across different groups identify potential biomarkers diagnosis and NB.

Language: Английский

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¹H NMR-Based Metabolomic Signatures in Rodent Models of Sporadic Alzheimer’s Disease and Metabolic Disorders

ACS Chemical Neuroscience, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 4, 2024

Alzheimer's disease (AD) is a chronic neurological disorder that impacts the elderly population all over globe. Evidence suggests association between AD and metabolic disorders such as diabetes mellitus (DM) obesity (OB). The present study an attempt to evaluate alterations in serum brain through NMR spectroscopy with aim identify shared signatures. was induced rats by stereotactic intracerebroventricular injection of oligomerized Aβ-42 peptide into brain. DM OB were intraperitoneal streptozotocin feeding on high-fat diet, respectively. obtained

Language: Английский

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