The Omics‐Driven Machine Learning Path to Cost‐Effective Precision Medicine in Chronic Kidney Disease

PROTEOMICS, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

ABSTRACT Chronic kidney disease (CKD) poses a significant and growing global health challenge, making early detection slowing progression essential for improving patient outcomes. Traditional diagnostic methods such as glomerular filtration rate proteinuria are insufficient to capture the complexity of CKD. In contrast, omics technologies have shed light on molecular mechanisms CKD, helping identify biomarkers assessment management. Artificial intelligence (AI) machine learning (ML) could transform CKD care, enabling biomarker discovery diagnosis risk prediction, personalized treatment. By integrating multi‐omics datasets, AI can provide real‐time, patient‐specific insights, improve decision support, optimize cost efficiency by avoidance unnecessary treatments. Multidisciplinary collaborations sophisticated ML advance therapeutic strategies in This review presents comprehensive overview pipeline translating data into treatment, covering recent advances research, role critical need clinical validation AI‐driven discoveries ensure their efficacy, relevance, cost‐effectiveness care.

Language: Английский

The role of advanced glycation end products between thyroid function and diabetic nephropathy and metabolic disorders

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 28, 2025

purpose of this study was to investigate the relationship between AGEs, TSH, metabolic metrics and DN, provide evidence for future intervention. Method: This selected community health service centers which had signed medical alliance agreement with First Affiliated Hospital Anhui Medical University outpatints inpatients in province. From March 2018 July 2022, multi-stage cluster sampling. method used screen residents aged 18–90 years above areas. Participants' blood collected on an empty stomach detect lipids, liver kidney function glucose, addition, AGEs levels were detected by skin autofluorescence (SAF), urine retained measure ratio urinary microalbumin creatinine concentration ACR. One-way ANOVA compare differences general data, biochemical markers, ACR, association variables. Result: A total 7000 patients who participated examination also no history serious mental disorders selected. After excluding data missing value more than 5%, 6921 samples finally included, effective rate 94.4%. Following risk factors (HRFs), such as body mass index (BMI), low-density lipoprotein (LDL), TyG (triglyceride glucose index), systolic pressure (SBP), cholesterol (TC), uric acid (UA) associated a higher incidence In moderation analysis, there is significant effect among HRFs moderate these effect. Conclusion: The findings suggest that HDL, TC should be prioritized when evaluating indicators related DN effectively reduce Chinese high levels. Comprehensive may practical. evaluate progression DN. Optimizing thyroid management new strategy prevent treat help AGE-related complications people diabetes. highlights important role TSH studies further explore how improve prevention regulating TSH. Among leading causes disability death type 1 diabetes mellitus (T1DM) 2 (T2DM), chronic disease (CKD) occupies certain position. Multi-factor intervention targeting advanced glycation end products (AGEs), lipids can morbidity mortality diabetic nephropathy (DN) T2DM through stimulating hormone (TSH), plays pathological process diseases key factor regulation, affect formation gland; However, correlation has not been clarified. We hypothesized aggravated negative The.

Language: Английский

Trends and Disparities in the Burden of Chronic Kidney Disease due to Type 2 Diabetes in China From 1990 to 2021: A Population‐Based Study

Journal of Diabetes, Journal Year: 2025, Volume and Issue: 17(4)

Published: April 1, 2025

ABSTRACT Background This study analyzes the trends in burden of chronic kidney disease due to type 2 diabetes (CKD‐T2D) China from 1990 2021, evaluates variations risk factors, and projects through 2036. Method Estimates prevalence, incidence, mortality, disability‐adjusted life years (DALYs) for CKD‐T2D were retrieved along with their 95% uncertainty intervals (UIs). Age‐period‐cohort analysis was used assess identify factor population attributable fractions (PAFs), project Results In there 20 911 520 cases China, an age‐standardized prevalence rate (ASPR) 1053.92 per 100 000, incidence (ASIR) 23.07, mortality (ASMR) 5.72, DALY (ASDR) 122.15. Although overall showed a slow decline continued rise. The 2021 data revealed marked age effect, rising age. Period effects also contributed increased risk, metabolic factors such as high fasting plasma glucose BMI contributing most. Projections suggest DALYs by 2036, while will keep increasing. Conclusion Despite declines ASMR ASDR, continue rise, especially among males elderly. increasing is driven aging factors. Early screening, education, management are essential addressing China.

Language: Английский