Integration of transcriptome and Mendelian randomization analyses in exploring the extracellular vesicle-related biomarkers of diabetic kidney disease DOI Creative Commons
Xu Yang,

Rensong Yue,

Liangbin Zhao

et al.

Renal Failure, Journal Year: 2025, Volume and Issue: 47(1)

Published: Feb. 17, 2025

Background Diabetic Kidney Disease (DKD) is a common complication in patients with diabetes, and its pathogenesis remains incompletely understood. Recent studies have suggested that extracellular vesicles (EVs) may play significant role the initiation progression of DKD. This study aimed to identify biomarkers associated EVs DKD through bioinformatics Mendelian randomization (MR) analysis.

Language: Английский

Optimal obesity- and lipid-related indices for predicting type 2 diabetes in middle-aged and elderly Chinese DOI Creative Commons
Xiaoyun Zhang,

Ying Wang,

Yuqing Li

et al.

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

Published: May 13, 2024

Abstract To investigate the screening and predicting functions of obesity- lipid-related indices for type 2 diabetes (T2D) in middle-aged elderly Chinese, as well ideal predicted cut-off value. This study's data comes from 2011 China Health Retirement Longitudinal Study (CHARLS). A cross-sectional study design was used to relationship T2D 13 indices, including body mass index (BMI), waist circumference (WC), waist–height ratio (WHtR), visceral adiposity (VAI), a shape (ABSI), roundness (BRI), lipid accumulation product (LAP), conicity (CI), Chinese (CVAI), triglyceride- glucose (TyG index) its correlation (TyG-BMI, TyG-WC, TyG-WHtR). The unadjusted adjusted correlations between were assessed using binary logistic regression analysis. receiver operating characteristic curve (ROC) determine usefulness anthropometric determining their cut‑off value, sensitivity, specificity, area under (AUC). comprised 9488 people aged 45 years or above total, whom 4354 (45.89%) males 5134 (54.11%) females. Among them 716 male cases (16.44%) 870 female (16.95%). total independently associated with risk after confounding factors ( P < 0.05). According ROC analysis, TyG best predictor among (AUC = 0.780, 95% CI 0.761, 0.799) females 0.782, 0.764, 0.799). AUC values indicators higher than 0.5, indicating that they have predictive Chinese. can predict middle‑aged indicators, is both TyG-BMI, TyG-WHtR, LAP, CVAI all outperformed BMI, WC, WHtR T2D.

Language: Английский

Citations

20

Naringenin Inhibits Ferroptosis in Renal Tubular Epithelial Cells of Diabetic Nephropathy Through SIRT1/FOXO3a Signaling Pathway DOI

Yi Zhou,

J. F. Hu,

Huarong Zeng

et al.

Drug Development Research, Journal Year: 2025, Volume and Issue: 86(1)

Published: Jan. 12, 2025

ABSTRACT Naringenin has the potential to regulate ferroptosis and mitigate renal damage in diabetic nephropathy (DN). However, it remains unclear whether naringenin's effects DN are linked its ability ferroptosis. This study investigated anti‐ferroptosis properties of naringenin high glucose (HG)‐induced tubular epithelial cell models. HK‐2 cells were cultured HG medium establish model. treated with different doses explore effect naringenin. The CCK‐8 results show that 50 μM ~ 200 do not affect viability HG‐induced increase a dose‐dependent manner treatment. Additionally, increased levels IL‐10 while decreasing IL‐1β, TNF‐α, IL‐6, ROS cells. also reduced Fe 2+ , oxidized lipid ROS, MDA, 4‐HNE, ACSL4, TFR1 cells, increasing non‐oxidized SOD, GSH‐Px, SLC7A11, GPX4. Meanwhile, restored MMP, ATP MPTP opening, OCR Furthermore, reversed decreased expression SIRT1, p‐FOXO3a, Nrf2 Nuclear caused by HG. SIRT1 inhibitor EX527 ML385 attenuated on demonstrating stronger reversal than ML385. These suggest inhibits mainly through SIRT1/FOXO3a signaling pathway. finding further enhanced our understanding mechanism behind protective DN.

Language: Английский

Citations

4

Research progress of non-coding RNA regulating the role of PANoptosis in diabetes mellitus and its complications DOI
Guangyu Han, Kaibo Hu, Tao Luo

et al.

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

Published: Jan. 4, 2025

Language: Английский

Citations

3

Novel Biomarkers of Diabetic Kidney Disease DOI Creative Commons
Jorge Rico-Fontalvo, Gustavo Aroca, Rodrigo Daza-Arnedo

et al.

Biomolecules, Journal Year: 2023, Volume and Issue: 13(4), P. 633 - 633

Published: March 31, 2023

Diabetic kidney disease (DKD) is a highly prevalent condition worldwide. It represents one of the most common complications arising from diabetes mellitus (DM) and leading cause end-stage (ESKD). Its development involves three fundamental components: hemodynamic, metabolic, inflammatory axes. Clinically, persistent albuminuria in association with progressive decline glomerular filtration rate (GFR) defines this disease. However, as these alterations are not specific to DKD, there need discuss novel biomarkers its pathogenesis which may aid diagnosis, follow-up, therapeutic response, prognosis

Language: Английский

Citations

35

Edge AI for Early Detection of Chronic Diseases and the Spread of Infectious Diseases: Opportunities, Challenges, and Future Directions DOI Creative Commons
Elarbi Badidi

Future Internet, Journal Year: 2023, Volume and Issue: 15(11), P. 370 - 370

Published: Nov. 18, 2023

Edge AI, an interdisciplinary technology that enables distributed intelligence with edge devices, is quickly becoming a critical component in early health prediction. AI encompasses data analytics and artificial (AI) using machine learning, deep federated learning models deployed executed at the of network, far from centralized centers. careful analysis large datasets derived multiple sources, including electronic records, wearable demographic information, making it possible to identify intricate patterns predict person’s future health. Federated novel approach further enhances this prediction by enabling collaborative training on devices while maintaining privacy. Using computing, can be processed analyzed locally, reducing latency instant decision making. This article reviews role highlights its potential improve public Topics covered include use algorithms for detection chronic diseases such as diabetes cancer computing detect spread infectious diseases. In addition discussing challenges limitations prediction, emphasizes research directions address these concerns integration existing healthcare systems explore full technologies improving

Language: Английский

Citations

32

D-ribose metabolic disorder and diabetes mellitus DOI Creative Commons
Yu Tai, Zehong Zhang, Zhi Liu

et al.

Molecular Biology Reports, Journal Year: 2024, Volume and Issue: 51(1)

Published: Jan. 28, 2024

Abstract D-ribose, an ubiquitous pentose compound found in all living cells, serves as a vital constituent of numerous essential biomolecules, including RNA, nucleotides, and riboflavin. It plays crucial role various fundamental life processes. Within the cellular milieu, exogenously supplied D-ribose can undergo phosphorylation to yield ribose-5-phosphate (R-5-P). This R-5-P dual purpose: it not only contributes adenosine triphosphate (ATP) production through nonoxidative phase phosphate pathway (PPP) but also participates nucleotide synthesis. Consequently, is employed both therapeutic agent for enhancing cardiac function heart failure patients remedy post-exercise fatigue. Nevertheless, recent clinical studies have suggested potential link between metabolic disturbances type 2 diabetes mellitus (T2DM) along with its associated complications. Additionally, certain vitro experiments indicated that exogenous exposure could trigger apoptosis specific cell lines. article comprehensively reviews current advancements D-ribose’s digestion, absorption, transmembrane transport, intracellular pathways, impact on behaviour, elevated levels mellitus. identifies areas requiring further investigation.

Language: Английский

Citations

10

α-methyltryptophan-mediated protection against diabetic nephropathy in db/db mice as studied with a metabolomics approach DOI Creative Commons

Aimin Cai,

Dan Shen,

Qiushuang Xiong

et al.

Frontiers in Pharmacology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 20, 2025

Introduction Diabetic nephropathy (DN), a major complication of diabetes, presents with poor clinical outcomes and affects patients throughout their lifetime. α-Methyltryptophan (α-MT) is blocker the amino acid transporter. SLC6A14 also an inhibitor indoleamine 2,3-dioxygenase-1 (IDO1). Methods In this study, we employed nuclear magnetic resonance-based metabolomic approach to investigate therapeutic effects α-MT in db/db mouse model DN explore underlying molecular mechanisms. Results The results study demonstrated that significantly reduced urinary excretion albumin creatinine, improved kidney function, decreased renal fibrosis mice. Metabolomic analyses tissues urine samples indicated mice displayed increased activity enzyme IDO1, alongside pronounced metabolic disturbances. These disturbances are chiefly characterized by alterations metabolism, energy production pathways, membrane biochemical features, nicotinamide all which have been implicated mTOR signaling apoptotic pathways. Discussion Administration showed evidence IDO1 inhibition rectification dysfunctions concurrent suppression apoptosis. findings highlight potential as promising agent for diabetic nephropathy.

Language: Английский

Citations

1

Association Between Atherogenic, Thrombogenic, and Lipophilic Indices and the Odds of Diabetic Nephropathy in Type 2 Diabetic Patients: A Case–Control Study DOI Creative Commons
Behnood Abbasi,

Elham Ghanbarzadeh,

Bita Panahizadeh

et al.

Food Science & Nutrition, Journal Year: 2025, Volume and Issue: 13(3)

Published: March 1, 2025

The quality of fats in the diet affects development chronic kidney disease. In this study, we aimed to understand relationship between dietary fat markers and risk diabetic nephropathy (DN) patients with Type 2 diabetes (T2DM).In case retrospective 309 T2DM (151 DN, 158 without DN) were included. A 147 item questionnaire measuring food frequency International Physical Activity Questionnaire (IPAQ) used. Anthropometric indices, biochemical factors measured or recorded from patient's files. Quantitative Insulin Sensitivity Check Index (QUICKI), Homeostatic Model Assessment for Resistance (HOMA-IR), atherogenic, thrombogenic, lipophilic indices calculated. Modified nutritionist IV software USDA composition table Odds ratios (OR) 95% confidence intervals (CI) obtained using a case-control design. Age, BMI, energy 1 physical activity, blood glucose, level insulin, lipid profile, creatinine level, CRP adjusted as interventions 2. Compared control subjects, had significantly higher body mass index (BMI), fasting sugar (FBS), total cholesterol (TC), triglyceride (TG), low-density lipoprotein (LDL-C) well lower intakes energy, carbohydrates, mono-and polyunsaturated fatty acids, fiber, compared controls. After adjustment possible confounders, highest quartile atherogenic (OR: 3.49, CI: 1.65-7.41), thrombogenic 4.3, 1.86-8.72), 3.50, 1.62-7.52) odds DN than those lowest quartile. There was considerable (including indices) chance developing nephropathy.

Language: Английский

Citations

1

Association of neutrophil–lymphocyte ratio, platelet–lymphocyte ratio and monocyte‐to‐high‐density lipoprotein ratio with diabetic nephropathy DOI Open Access
Gulru B. Sonmezoz, Mürvet Yılmaz

Therapeutic Apheresis and Dialysis, Journal Year: 2025, Volume and Issue: unknown

Published: March 21, 2025

The aim of this study was to determine the relationship between albuminuria and neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte (PLR) monocyte-to-high density lipoprotein-cholesterol (MHR). Patients with type 2 diabetes mellitus diagnosis, aged over 18, had estimated glomerular filtration rate (eGFR) ≥60 mL/dk/1.73 m2 included. were divided into groups according ACR values: <30 mg/g (group 1), 30-300 2) >300 3). We examined whether there a significant difference in NLR, PLR, MHR among three groups. A total 360 patients included study. NLR significantly higher group 3 than 1 (p = 0.016). There no PLR or 0.312 p 0.687, respectively). detected comparison without diabetic nephropathy, but 0.028; 0.950 0.389, correlated creatinine (r: 0.166, 0.002; r: 0.144, 0.006, positively 0.25.3, 0.016, nephropathy non-diabetic group. This may suggest that can be used as prognostic marker nephropathy. Although albuminuria, negatively eGFR. Therefore, useful monitoring development progression chronic kidney disease rather early stages. However, further studies are needed.

Language: Английский

Citations

1

Association between serum bilirubin and type 2 diabetes mellitus risk: Findings from a schizophrenia cohort DOI
Kuan Liu, Hao Chen, Shi-Ao Wang

et al.

Schizophrenia Research, Journal Year: 2025, Volume and Issue: 279, P. 106 - 115

Published: April 6, 2025

Language: Английский

Citations

1