Diabetes and kidney dysfunction markedly alter the content of sphingolipids carried by circulating lipoproteins

Author(s):  
Samar M Hammad ◽  
Kelly J Hunt ◽  
Nathaniel L Baker ◽  
Richard L Klein ◽  
Maria F Lopes-Virella
Keyword(s):  
Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 509-P
Author(s):  
JULIA I.F. BRANDA ◽  
BIANCA ALMEIDA ◽  
SANDRA R.G. VIVOLO

2021 ◽  
Author(s):  
Marta Freitas ◽  
Vítor Macedo Silva ◽  
Sofia Xavier ◽  
Joana Magalhes ◽  
Carla Marinho ◽  
...  

Introduction: Increasing evidence suggests an association between metabolic associated fatty liver disease (MAFLD) and chronic kidney disease (CKD). Timely prediction of early kidney dysfunction (EKD) is thus essential in this population, although a screening method is not stablished. We aimed to evaluate the role of transient elastography (TE) in predicting EKD in patients with MAFLD. Methods: Prospective cohort study that included patients with MAFLD scheduled for evaluation, between May/2019 and January/2020. Demographic, clinical and laboratory data, and TE parameters were obtained. EKD was defined as microalbuminuria (urinary albumin-to-creatinine ratio 30-300mg/g) and estimated glomerular filtration rate≥60mL/min/1.73m2. Significant liver fibrosis was defined as liver stiffness measurement (LSM)≥8.2kPa. Results: Included 45 patients with MALFD, 53.3% female gender, mean age of 53.5±10.9years. EKD was found in 17.8% of patients. MAFLD patients with EKD were significantly more obese (body mass index≥30) (75.0% vs 32.4%,p=0.045) and had significantly higher LSM (8.5±4.1 vs 5.8±2.2kPa,p=0.01). After adjustment of potential confounders for EKD the presence of liver fibrosis, remained a significant predictor of EKD, being associated with a 14.3-fold increased risk of EKD (p=0.04). The optimal cutoff value of LSM to predict EKD was 6.1kPa (sensitivity:85.7%; specificity:67.6%). Conclusion: Significant liver fibrosis is associated with a significant increased risk of EKD in patients with MAFLD, regardless of other comorbidities. Higher levels of LSM, particularly >6.1kPa, alert for timely identification of EKD and associated comorbidities, as well as their control, in order to prevent the development of CKD in the long term.


Author(s):  
Simon Fandler-Höfler ◽  
Balazs Odler ◽  
Markus Kneihsl ◽  
Gerit Wünsch ◽  
Melanie Haidegger ◽  
...  

AbstractData on the impact of kidney dysfunction on outcome in patients with stroke due to large vessel occlusion are scarce. The few available studies are limited by only considering single kidney parameters measured at one time point. We thus investigated the influence of both chronic kidney disease (CKD) and acute kidney injury (AKI) on outcome after mechanical thrombectomy. We included consecutive patients with anterior circulation large vessel occlusion stroke receiving mechanical thrombectomy at our center over an 8-year period. We extracted clinical data from a prospective registry and investigated kidney serum parameters at admission, the following day and throughout hospital stay. CKD and AKI were defined according to established nephrological criteria. Unfavorable outcome was defined as scores of 3–6 on the modified Rankin Scale 3 months post-stroke. Among 465 patients, 31.8% had an impaired estimated glomerular filtration rate (eGFR) at admission (< 60 ml/min/1.73 m2). Impaired admission eGFR was related to unfavorable outcome in univariable analysis (p = 0.003), but not after multivariable adjustment (p = 0.96). Patients frequently met AKI criteria at admission (24.5%), which was associated with unfavorable outcome in a multivariable model (OR 3.03, 95% CI 1.73–5.30, p < 0.001). Moreover, patients who developed AKI during hospital stay also had a worse outcome (p = 0.002 in multivariable analysis). While CKD was not associated with 3-month outcome, we identified AKI either at admission or throughout the hospital stay as an independent predictor of unfavorable prognosis in this study cohort. This finding warrants further investigation of kidney–brain crosstalk in the setting of acute stroke.


2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Miriam Zacchia ◽  
Emanuela Marchese ◽  
Marianna Caterino ◽  
Margherita Ruoppolo ◽  
Giovambattista Capasso

Abstract Background and Aims Bardet Biedl Syndrome (BBS) is a rare genetic disorder characterized by a wide range of organ dysfunction, including kidney disease. The severity of renal dysfunction is highly variable in this setting, ranging from tubular defects to the end stage renal disease, with poor genotype-phenotype correlation. Proteomics and metabolomics are powerful tools able to contribute to the better understanding of molecular basis of disease conditions. Our previous studies demonstrated that the urinary proteomic pattern of BBS patients differed from that of healthy subjects, with a set of deregulated proteins including cell adhesion and extracellular matrix organization proteins (1). The present study aims to characterize urine metabolomic profile of BBS patients, in order to identify both 1) potential disease biomarkers and 2) aberrant metabolic pathways underlying renal disease Method To this end, in the pilot study urine samples have been collected from 14 adult BBS patients and have been compared with healthy volunteers, using an untargeted strategy. In the confirmation study, 24 BBS patients with wide range of kidney dysfunction have been enrolled, and additional control groups, besides healthy subjects, were included: 1) age-gender-matched chronic kidney disease patients by other causes and 2) obese individuals. Results Several metabolites were de-regulated in BBS patients compared with normal subjects (lactic acid, glycolic acid,3-Hydroxypropionic acid, pyruvic acid, 3-hydroxyisobutyric acid, 2-ethyl-3-hydroxy-propionic acid, succinic acid, fumaric acid, erythropentonic acid, 2-hydroxyglutaric acid, 4-hydroxyphenyllactic acid, 3,4-pyridinedicarboxylic acid, retinoic acid, 4-hydroxyphenylacetic acid, palmitic acid, 9-Hexadecenoic acid, oleic acid and 9-Octadecenoic acid). The clusterization performed by MetaboAnalyst tool, revealed a possible deregulation of different metabolic pathways, including glycolysis, TCA cycle, pyruvate metabolism, lipids biosynthesis and glutamate metabolism (p-value &lt;0.01) (figure 1); some of these pathways were described as de-regulated in other ciliopathies (2). In the confirmation study (on-going studies) some metabolites, including lactic acid and intermediates of Krebs cycle, correlated with kidney dysfunction only in the BBS group. Conclusion These findings suggest that urine metabolomic fingerprint of BBS patients is different from that of healthy subjects and indicate a possible deregulation of several metabolic pathways; some urinary molecules correlated with kidney dysfunction only in BBS patients, suggesting the specificity of these results.


2014 ◽  
Vol 37 (10) ◽  
pp. 919-925 ◽  
Author(s):  
Yugo Shibagaki ◽  
Iwao Ohno ◽  
Tatsuo Hosoya ◽  
Kenjiro Kimura

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