scholarly journals A Differential Diagnosis Model For Diabetic Nephropathy And Non-Diabetic Renal Disease In Patients With Type 2 Diabetes Complicated With Chronic Kidney Disease

2019 ◽  
Vol Volume 12 ◽  
pp. 1963-1972 ◽  
Author(s):  
Zhenhua Yang ◽  
Luhuai Feng ◽  
Yu Huang ◽  
Ning Xia
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Differential Diagnosis ◽  
Diabetic Nephropathy ◽  
Kidney Disease ◽  
Renal Disease ◽  
Diabetic Renal Disease ◽  
Diagnosis Model

scholarly journals Renal outcomes and prognostic factors in patients with type-2 diabetes and chronic kidney disease confirmed by renal biopsy

2021 ◽  
Vol 12 ◽  
pp. 204062232110523
Author(s):  
Na Jing ◽  
Mengxing Pan ◽  
Yi Song ◽  
Feng Guo ◽  
Haohao Zhang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Prognostic Factors ◽  
Family History ◽  
Kidney Disease ◽  
Renal Disease ◽  
Family History Of Diabetes ◽  
Renal Outcomes ◽  
History Of

Aim: To evaluate the renal outcomes and prognostic factors among patients with type-2 diabetes (T2D) and biopsy-confirmed diabetic nephropathy (DN), non-diabetic renal disease (NDRD) and DN mixed with NDRD (MIX). Design and Methods: Patients with both T2D and chronic kidney disease (CKD) who underwent renal biopsy between January 2014 and December 2016 were recruited in this prospective observational study. Participants were divided into DN group, NDRD group, or MIX group according to the baseline pathological diagnosis. The primary endpoint was a composite renal event of end-stage renal disease (ESRD) or ⩾ 40% reduction in estimated glomerular filtration rate (eGFR). Results: Among the 292 participants included, 153 (52.4%) belonged to the DN group, 30 (10.3%) belonged to the NDRD group, and 109 (37.3%) belonged to the MIX group. During the median follow-up of 27 months, the adverse renal events occurred in 132 (44.2%) patients. Compared with NDRD group, the multiple adjusted hazard ratios (HRs) for renal events in patients with DN and MIX groups were 3.900 (95% confidence interval [CI]: 1.103–13.788) and 2.691 (95% CI: 0.662–10.936), respectively. Baseline lower eGFR (HR: 1.159, 95% CI: 1.060–1.266), severe proteinuria (HR: 2.047, 95% CI: 1.227–3.416), lower hemoglobin (HR: 1.170, 95% CI: 1.008–1.267), and a family history of diabetes (HR: 1.138, 95% CI: 1.008–2.285) were independent predictors for adverse renal outcomes in patients with DN. Conclusion: In patients with T2D and CKD, pure DN and MIX group displayed a worse renal prognosis than NDRD group. Worse renal function, severe proteinuria, lower hemoglobin, and a family history of diabetes may be associated with adverse renal outcomes in patients with DN.

scholarly journals DIABETIC NEPHROPATHY AND CHRONIC KIDNEY DISEASE IN TYPE 2 DIABETES

2019 ◽  
pp. 29-32
Author(s):  
E.V. Klochkova ◽  
◽  
A.A. Tolmacheva ◽  
N.N. Chernova ◽  
I.N. Nikolskaya ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Diabetic Nephropathy ◽  
Kidney Disease

scholarly journals Lipid metabolism and levels of proinflammatory cytokines in patients with type 2 diabetes with diabetic nephropathy depending on the stage of chronic kidney disease

2012 ◽  
Vol 9 (2) ◽  
pp. 53-56
Author(s):  
Y V Khasanova ◽  
A B Galkina ◽  
A A Nelaeva ◽  
I V Medvedeva
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Diabetic Nephropathy ◽  
Lipid Metabolism ◽  
Kidney Disease ◽  
Proinflammatory Cytokines ◽  
Diabetes Development ◽  
Lipid Abnormalities ◽  
Relationship Of

Aim: to study the role and relationship of lipid metabolism and levels of proinflammatory cytokines in patients with type 2 diabetes mellitus (DM2) with diabetic nephropathy (DN), depending on the stage of chronic kidney disease (CKD). Materials and Methods: a total of 240 patients with type 2 diabetes in the early stages of DN and CKD were studied. Results: in patients with type 2 diabetes development of DN was associated with an increased level of proinflammatory cytokines and lipid abnormalities (hypertriglyceridemia). We found a negative correlation between the level of triglycerides (TG) and glomerular filtration rate (GFR) (r = -0,43) and a direct correlation between the level of IL-6 and TG (r = 0,48). Conclusions: increased levels of proinflammatory cytokines and triglycerides increase the risk of development and progression of DN and CKD.

scholarly journals Serum and urinary SOD3 in patients with type 2 diabetes: comparison with early chronic kidney disease patients and association with development of diabetic nephropathy

2019 ◽  
Vol 316 (1) ◽  
pp. F32-F41 ◽  
Author(s):  
Chia-Wen Kuo ◽  
Hsiao-Ling Chen ◽  
Min-Yu Tu ◽  
Chuan-Mu Chen
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Diabetic Nephropathy ◽  
Kidney Disease ◽  
Serum Creatinine ◽  
Urinary Albumin ◽  
Renal Diseases ◽  
Heparin Binding ◽  
Patients With Diabetes

Extracellular superoxide dismutase 3 (SOD3), one member of the antioxidant defense system and a superoxide scavenger, has been noted to be downregulated in the kidneys of diabetic mice and is characterized by a heparin-binding domain that can anchor the protein to the endothelium and extracellular matrix. The association of the serum and urinary SOD3 levels with diabetic nephropathy in different stages has never been evaluated. It remains unclear how urinary SOD3 changes in different renal diseases. We recruited 98 Taiwanese patients with type 2 diabetes and 10 patients with early chronic kidney disease (CKD) into this study. Biochemical analyses were performed, including evaluation of the serum SOD3, urinary SOD3, urinary albumin, urinary vascular endothelial growth factor (VEGF), and urinary angiotensinogen (ANG). The Kruskal-Wallis rank sum test was used to compare various parameters among the three groups of patients: early CKD, diabetes alone, and diabetes with CKD. Results showed that lower serum and urinary SOD3 levels were observed in the group of patients with diabetes alone. Higher serum and urinary SOD3 levels were observed in the group of patients with diabetes and CKD, which had higher albuminuria and serum creatinine levels. The serum SOD3 levels were significantly positively correlated with renal function, according to the serum creatinine level. The urinary levels of SOD3 were significantly correlated with other urinary biomarkers such as urinary ANG and VEGF. Furthermore, albuminuria can positively predict the serum SOD3 level for the ratio of urinary albumin to urinary creatinine (ACR) >1,190.769 mg/g and the urinary SOD3 level for ACR ≥300 mg/g.

Non-diabetic renal disease with or without diabetic nephropathy in type 2 diabetes: clinical predictors and outcome

Renal Failure ◽  
2015 ◽  
Vol 37 (4) ◽  
pp. 572-575 ◽  
Author(s):  
Tayebeh Soleymanian ◽  
Gholamreza Hamid ◽  
Mohammad Arefi ◽  
Iraj Najafi ◽  
Mohammad Reza Ganji ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Diabetic Nephropathy ◽  
Renal Disease ◽  
Clinical Predictors ◽  
Diabetic Renal Disease

scholarly journals Type 2 diabetes and chronic kidney disease as important prognostic factors in acute pancreatitis

2019 ◽  
Vol 73 ◽  
pp. 654-661
Author(s):  
Anna Rostropowicz-Honka ◽  
Marian Klinger
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Acute Pancreatitis ◽  
Differential Diagnosis ◽  
Prognostic Factors ◽  
Kidney Disease ◽  
Hba1c Level ◽  
Clinical Value ◽  
Clinical Applicability

This study includes an analysis of acute pancreatitis (AP) prognostic factors was performed as well as a critical review of the most important AP prognostic scales (APACHE II, Ranson, BISAP, SOFA, Marshall). The limitations of each scale were described. Simultaneously, the clinical applicability in the early prognostic AP stratification was presented, along with the clinical value of the alcoholic and gallstones etiology in the differential diagnosis. Pre-existing type 2 diabetes and chronic kidney disease significantly worsen the course of AP and should be included in the prognostic scale. It was shown that the diabetes coexisting with a HBA1C level above 6.5% significantly increases the mortality of AP patients and prolongs the period of hospitalization for 5 days. It was also observed that chronic kidney disease significantly increases the frequency of infective AP complications and raises 3-months mortality.

scholarly journals The role of circulating galectin-1 in type 2 diabetes and chronic kidney disease: evidence from cross-sectional, longitudinal and Mendelian randomisation analyses

Diabetologia ◽  
2021 ◽  
Author(s):  
Isabel Drake ◽  
Emanuel Fryk ◽  
Lena Strindberg ◽  
Annika Lundqvist ◽  
Anders H. Rosengren ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Diabetic Nephropathy ◽  
Kidney Disease ◽  
Kidney Function ◽  
Mendelian Randomisation ◽  
Cross Sectional ◽  
Genome Wide

Abstract Aims/hypothesis Galectin-1 modulates inflammation and angiogenesis, and cross-sectional studies indicate that galectin-1 may be a uniting factor between obesity, type 2 diabetes and kidney function. We examined whether circulating galectin-1 can predict incidence of chronic kidney disease (CKD) and type 2 diabetes in a middle-aged population, and if Mendelian randomisation (MR) can provide evidence for causal direction of effects. Methods Participants (n = 4022; 58.6% women) in the Malmö Diet and Cancer Study–Cardiovascular Cohort enrolled between 1991 and 1994 (mean age 57.6 years) were examined. eGFR was calculated at baseline and after a mean follow-up of 16.6 ± 1.5 years. Diabetes status was ascertained through registry linkage (mean follow-up of 18.4 ± 6.1 years). The associations of baseline galectin-1 with incident CKD and type 2 diabetes were assessed with Cox regression, adjusting for established risk factors. In addition, a genome-wide association study on galectin-1 was performed to identify genetic instruments for two-sample MR analyses utilising the genetic associations obtained from the Chronic Kidney Disease Genetics (CKDGen) Consortium (41,395 cases and 439,303 controls) and the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) consortium (74,124 cases and 824,006 controls). One genome-wide significant locus in the galectin-1 gene region was identified (sentinel SNP rs7285699; p = 2.4 × 10−11). The association between galectin-1 and eGFR was also examined in individuals with newly diagnosed diabetes from the All New Diabetics In Scania (ANDIS) cohort. Results Galectin-1 was strongly associated with lower eGFR at baseline (p = 2.3 × 10−89) but not with incident CKD. However, galectin-1 was associated with increased risk of type 2 diabetes (per SD increase, HR 1.12; 95% CI 1.02, 1.24). Two-sample MR analyses could not ascertain a causal effect of galectin-1 on CKD (OR 0.92; 95% CI 0.82, 1.02) or type 2 diabetes (OR 1.05; 95% CI 0.98, 1.14) in a general population. However, in individuals with type 2 diabetes from ANDIS who belonged to the severe insulin-resistant diabetes subgroup and were at high risk of diabetic nephropathy, genetically elevated galectin-1 was significantly associated with higher eGFR (p = 5.7 × 10−3). Conclusions/interpretation Galectin-1 is strongly associated with lower kidney function in cross-sectional analyses, and two-sample MR analyses suggest a causal protective effect on kidney function among individuals with type 2 diabetes at high risk of diabetic nephropathy. Future studies are needed to explore the mechanisms by which galectin-1 affects kidney function and whether it could be a useful target among individuals with type 2 diabetes for renal improvement. Graphical abstract

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