Clinica Chimica Acta, Journal Year: 2021, Volume and Issue: 524, P. 146 - 153
Published: Nov. 9, 2021
Language: Английский
Cureus, Journal Year: 2023, Volume and Issue: unknown
Published: Sept. 20, 2023
The complex and mutually influential connection between diabetes mellitus chronic kidney disease (CKD) is a significant focal point in the current healthcare landscape. Diabetes, medical condition characterized by elevated blood glucose levels resulting from impaired insulin action or secretion, has become global epidemic. It poses considerable challenges to systems affects millions of individuals worldwide. Concurrently, CKD, gradual decline function, persistent health challenge. This narrative review explores relationship these two conditions, shedding light on their implications for public health, clinical practice, biomedical research. correlation not merely coincidental. Diabetes recognized as risk factor with are considerably more vulnerable developing renal complications. Diabetic nephropathy, distinct type closely associated diabetes, end-stage disease. imperative implement efficient management strategies regulate sugar prevent potential damage. On other hand, may contribute development diabetes. kidneys filtering selectively reabsorbing necessary. In compromised such metabolism can give rise resistance As result, plays dual role both preserving function preventing who at risk. coexistence patient presents challenges. Achieving effective requires meticulous balance glycemic control preservation function. Failing maintain this delicate equilibrium lead cardiovascular complications subsequent hospitalizations. comprehensive aims thoroughly examine pathophysiological mechanisms that connect will provide insights into manifestations diagnostic methods, explore various approaches managing condition, discuss crucial nutrition, delve pharmacological interventions, emphasize importance education self-care, shed emerging research areas. addition impacting individual outcomes, reciprocal systems, socioeconomic landscapes, policy. Comprehending interaction making well-informed judgments, improving care, approach address interconnected issues
Language: Английский
Citations
38
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
34
Clinica Chimica Acta, Journal Year: 2024, Volume and Issue: 561, P. 119762 - 119762
Published: June 5, 2024
Language: Английский
Citations
11
Journal of Diabetes Research, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 13
Published: Jan. 20, 2024
The aim of this study is to analyze the effect serum metabolites on diabetic nephropathy (DN) and predict prevalence DN through a machine learning approach. dataset consists 548 patients from April 2018 2019 in Second Affiliated Hospital Dalian Medical University (SAHDMU). We select optimal 38 features least absolute shrinkage selection operator (LASSO) regression model 10-fold cross-validation. compare four algorithms, including extreme gradient boosting (XGB), random forest, decision tree, logistic regression, by AUC-ROC curves, calibration curves. quantify feature importance interaction effects predictive Shapley additive explanation (SHAP) method. XGB has best performance screen for with highest AUC value 0.966. also gains more clinical net benefits than others, fitting degree better. In addition, there are significant interactions between duration diabetes. develop algorithm DN. C2, C5DC, Tyr, Ser, Met, C24, C4DC, Cys have great contribution can possibly be biomarkers
Language: Английский
Citations
10
Cardiovascular Diabetology, Journal Year: 2023, Volume and Issue: 22(1)
Published: Dec. 13, 2023
Abstract Background In the last years, classical pattern of diabetic kidney disease (DKD) has been partially overcome, because uncovering a new DKD phenotype with significant renal dysfunction without presence albuminuria: non-albuminuric (NA-DKD). To date, cardiovascular risk associated this is still debated. We investigated and injury profile NA-DKD subjects in comparison other phenotypes. Methods Pulse wave velocity (PWV), intima-media thickness, carotid atherosclerotic plaque, resistive index (RRI), panel urinary biomarkers were evaluated 160 type 2 diabetes, stratified according to estimated glomerular filtration rate (eGFR) albumin creatinine ratio (UACR) into four groups: controls (UACR < 30 mg/g eGFR ≥ 60 mL/min/1.73 m ), A-DKD (Albuminuric-DKD, UACR AL-DKD (Albuminuric Low eGFR-DKD; ). Results Subjects showed higher PWV (11.83 ± 3.74 m/s vs. 10.24 2.67 m/s, P = 0.045), RRI (0.76 0.11 0.71 0.09, 0.04), prevalence plaque (59% 31%, 0.009) compared controls. These characteristics similar those AL-DKD, whereas was closer After multiple regression analyses, we found that RRI, turn influenced by (β − 0.01, 0.01), one major determinants 9.4, 0.02). Urinary TreFoil Factor 3, marker tubular damage, (1533.14 878.31 ng/mL 1253.84 682.17 ng/mL, 0.047). Furthermore, after osteopontin independently 2.6, 0.049) 0.006). Conclusions Our data worse subjects. This finding emphasizes central role definition together albuminuria.
Language: Английский
Citations
17
Biomedicines, Journal Year: 2021, Volume and Issue: 9(5), P. 457 - 457
Published: April 22, 2021
Diabetic nephropathy (DN) is one of the most common complications diabetes mellitus. After development DN, patients will progress to end-stage renal disease, which associated with high morbidity and mortality. Here, we developed early-stage diagnostic biomarkers detect DN as a strategy for intervention. For model, Zucker diabetic fatty rats were used phenotyping. The results revealed that showed significantly increased blood glucose, urea nitrogen (BUN), serum creatinine levels, accompanied by severe kidney injury, fibrosis microstructural changes. In addition, urinary excretion injury molecule-1 (KIM-1) neutrophil gelatinase-associated lipocalin (NGAL). Transcriptome analysis new biomarkers, such complementary component 4b (C4b), factor D (CFD), C-X-C motif chemokine receptor 6 (CXCR6), leukemia inhibitory (LIF) identified. Furthermore, they found in urine DN. Since these detected patients, selected markers could be early diagnosis chronic nephropathy.
Language: Английский
Citations
31
Frontiers in Nephrology, Journal Year: 2023, Volume and Issue: 3
Published: March 24, 2023
This study assessed the efficacy of INV-202, a novel peripherally restricted cannabinoid type-1 receptor (CB1R) inverse agonist, in streptozotocin-induced diabetes nephropathy mouse model.Diabetes was induced 8-week-old C57BL6/J male mice via intraperitoneal injection streptozotocin (45 mg/kg/day for 5 days); nondiabetic controls received citrate buffer. Diabetic were randomized to 3 groups based on blood glucose, polyuria, and albuminuria, administered daily oral doses 28-days INV-202 at 0.3 or mg/kg vehicle.INV-202 did not affect body weight but decreased kidney compared with vehicle group. While polyuria unaffected by treatment, urinary urea (control 30.77 ± 14.93; 189.81 31.49; (0.3 mg/kg) 127.76 20; (3 93.70 24.97 mg/24h) albumin 3.06 0.38; 850.08 170.50; 290.65 88.70; 111.29 33.47 µg/24h) excretion both vehicle-treated diabetic mice. Compared group, there significant improvement creatinine ratio across groups. Regardless dose, significantly reduced angiotensin II The treatment also Agtr1a renal expression dose-dependent manner. controls, glomerular filtration rate increased group mg/kg. showed loss mean number podocytes per glomerulus, limited podocyte Moreover, groups, genes coding structural proteins nephrin (Nphs1), podocin (Nphs2), podocalyxin (Pdxl) restored levels similar controls. partially proximal tubular epithelial cell (PTEC) hyperplasia normalized genetic markers PTEC lesions. contributing oxidative stress (Nox2, Nox4, P47phox) inflammation (Tnf). In addition, diabetes-induced fibrosis INV-202.INV-202 injury, preserved structure function, injury PTECs, ultimately model. These results suggest that may represent new therapeutic option disease.
Language: Английский
Citations
12
Amino Acids, Journal Year: 2023, Volume and Issue: 55(5), P. 563 - 578
Published: April 17, 2023
Language: Английский
Citations
11
Immunobiology, Journal Year: 2024, Volume and Issue: 229(2), P. 152792 - 152792
Published: Feb. 15, 2024
The value of novel biomarkers for DKD has received increasing attention, and there is an urgent need with sensitivity, specificity ability to detect kidney damage.miR-377 regulates many basic biological processes, plays a key role in tumor cell proliferation, migration inflammation, can also increase the expression matrix proteins fibronectin, leading renal tubulointerstitial inflammation fibrosis. Lipoprotein-associated phospholipase A2, as inflammatory marker, involved pathological process microalbuminuria production function decline, predictive factor be used indicator evaluate progression DKD.The aim this study was investigate effects miR-377 A2 on development diabetic disease through regulation factors mechanism action.
Language: Английский
Citations
4
Journal of Diabetes & Metabolic Disorders, Journal Year: 2025, Volume and Issue: 24(1)
Published: Jan. 10, 2025
Language: Английский
Citations
0