29 research outputs found

    Decreased expression of microRNAs targeting type-2 diabetes susceptibility genes in peripheral blood of patients and predisposed individuals

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    Aim: Certain microRNA molecules (miRNAs) that target genes involved in beta-cell growth and insulin resistance are found deregulated in patients with type-2 diabetes mellitus (T2D) and correlate with its complications. However, the expression profile of miRNAs that regulate genes bearing T2D-related single-nucleotide polymorphisms has been hardly studied. We recently reported that the mRNA patterns of specific T2D-susceptibility genes are impaired in patients, and associate with disease parameters and risk factors. The aim of this study was to explore the levels of miRNAs that target those genes, in peripheral blood of patients versus controls. Methods: A panel of 14 miRNAs validated to target the CDKN2A, CDK5, IGF2BP2, KCNQ1, and TSPAN8 genes, was developed upon combined search throughout the DIANNA TarBase v7.0, miRTarBase, miRSearch v3.0-Exiqon, miRGator v3.0, and miRTarget Link Human algorithms. Specifically developed poly(A)polyadenylation(PAP)-reverse transcription(RT)-qPCR protocols were applied in peripheral blood RNA samples from patients and controls. Possible correlations with the disease, clinicopathological parameters and/or risk factors were evaluated. Results: T2D patients expressed decreased levels of let-7b-5p, miR-1-3p, miR-24-3p, miR-34a-5p, miR-98-5p, and miR-133a-3p, compared with controls. Moreover, these levels correlated with certain disease features including insulin and % HbA1c levels in patients, as well as BMI, triglycerides’ levels and family history in controls. Conclusions: A T2D-specific expression profile of miRNAs that target disease-susceptibility genes is for the first time described. Future studies are needed to elucidate the associated transcription-regulatory mechanisms, perchance involved in T2D pathogenesis, and to evaluate the potential of these molecules as possible biomarkers for this disorder. © 2019, Springer Science+Business Media, LLC, part of Springer Nature

    Adipose tissue lipolysis and circulating lipids in acute and subacute critical illness: Effects of shock and treatment

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    Purpose: The purpose of this study is to assess lipid metabolism at the tissue level in critically ill subjects. Materials and methods: We studied 182 patients with systemic inflammatory response syndrome/severe sepsis or shock during the acute (day 1) and subacute phase of critical illness (day 6). All subjects had a tissue microdialysis (MD) catheter placed in femoral adipose tissue upon admission to the intensive care unit (ICU). Plasma cholesterol, high-density lipoprotein, low-density lipoprotein, free fatty acids (FFAs), triglyceride, and MD glycerol (GLYC) were measured on days 1 and 6 in the ICU. Results: On admission, 56% of the patients had increased levels (> 200 μmol/L) of MD GLYC. Patients with shock displayed more pronounced subcutaneous tissue lipolysis and more profound derangements of circulating lipids vs patients without shock (but no appreciable differences in FFA levels). Furthermore, in patients with shock during the acute period, there were positive, albeit weak, correlations of subcutaneous tissue lipolysis (MD GLYC), plasma FFAs (r = 0.260; P = .01), and norepinephrine's dose (r = 0.230; P = .01), whereas during the subacute phase, MD GLY levels were higher in patients receiving glucocorticoids (344.7 ± 276.0 μmol/L vs 252.2 ± 158.4 μmol/L; P = .03). Conclusions: Subcutaneous tissue lipolysis is only one of the many determinants of plasma FFAs. Routinely applied therapeutic modalities in the ICU interfere with adipose tissue metabolism. © 2014 Elsevier Inc

    Microdialysis-assessed interstitium alterations during sepsis: Relationship to stage, infection, and pathogen

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    Purpose: More than a disorder of macrocirculation, sepsis is a disease affecting the microcirculation and the tissue metabolism. In vivo microdialysis (MD) is a bedside technique that can monitor tissue metabolic changes. We conducted this study aiming (1) to assess whether patients at different sepsis stages present with different MD-assessed tissue metabolic profiles and (2) to determine if different underlying types of infections and implicated pathogens are associated with dissimilar metabolic alterations. Methods: We studied 90 mechanically ventilated patients, 65 with septic shock and 25 with severe sepsis. An MD catheter was inserted in the subcutaneous adipose tissue of the upper thigh and interstitial fluid samples were collected along with arterial blood samples every 4 h for a maximum of 6 days. Lactate, pyruvate, glycerol, and glucose concentrations were measured. Results: During the study period, patients with septic shock had higher MD-assessed glycerol (P = 0.009), glycerol gradient (P = 0.016), and glucose (P = 0.004) than patients with severe sepsis, whereas tissue lactate, lactate gradient, and pyruvate dropped significantly with time (P = 0.007, <0.001, and <0.001, respectively) in both patient groups without any observed between-group difference. In addition, there was no between-group difference in their tissue lactate/pyruvate ratio on any day, nor did the ratio decrease significantly with time. Compared with pneumonia patients, and despite similar baseline clinical characteristics, those suffering from intra-abdominal infections showed a pattern of higher and progressively increasing tissue levels of glucose (P = 0.001) and glycerol (P = 0.001). Finally, patients harboring Gram-positive infections had higher tissue levels of glycerol (P = 0.027) and glycerol gradient (P = 0.029) than patients with Gram-negative infections. Conclusions: MD can detect tissue metabolic abnormalities that differ in relation to the sepsis stage and the type of underlying infection or responsible pathogen. Some of the MD-assessed abnormalities are not reflected by conventional blood measurements and possess prognostic potential. It remains to be determined if this type of metabolic monitoring can find clinical applications in the wide population of septic critically ill patients. © 2011 Copyright jointly held by Springer and ESICM

    Effects of Adiponectin in TNF-alpha, IL-6, and IL-10 Cytokine Production from Coronary Artery Disease Macrophages

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    Adiponectin, an adipose tissue secreted protein, exhibits anti-inflammatory and antiatherogenic properties. We examined the effects of the globular and full-length adiponectin on cytokine production in macrophages derived from Coronary Artery Disease (CAD) patients and control individuals. Adiponectin’s effects in human macrophages upon lipopolysaccharide (LPS) treatment were also examined. Full length adiponectin acted differently on TNF-alpha and IL-6 production by upregulating TNF-alpha and IL-6 protein production, but not their mRNA expression. Additionally, full length adiponectin was unable to abrogate LPS proinflammatory effect in TNF-alpha and IL-6 mRNA expression in CAD and NON-CAD macrophages. In contrast, globular adiponectin appeared to have proinflammatory properties by potently upregulating TNF-a and IL-6 mRNA and protein secretion in human macrophages while subsequently rendered cells resistant to further proinflammatory stimuli. Moreover, both forms of adiponectin powerfully suppressed scavenger MSR-AI mRNA expression and augmented IL-10 protein release, both occurring independently of the presence of LPS or CAD. These data indicate that adiponectin could potentially protect human macrophages via the elevated IL-10 secretion and the suppression of MSR-AI expression. It can also be protective in CAD patients since the reduced adiponectin-induced IL-6 release in CAD macrophages compared to controls, could be beneficial in the development of inflammation related atherosclerosis

    Kinetics of adipose tissue microdialysis-derived metabolites in critically ill septic patients: Associations with sepsis severity and clinical outcome

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    Microdialysis (MD) provides the opportunity to monitor tissue metabolic changes. This study aimed to describe the kinetics of MD-derived metabolites during the course of critical sepsis, to assess whether these metabolites are useful in grading sepsis severity, and to investigate their prognostic use. To this end, 54 mechanically ventilated septic patients were prospectively studied, out of which 39 had shock. Upon sepsis onset, an MD catheter was inserted into the subcutaneous adipose tissue of the upper thigh. Dialysate samples were analyzed for glucose, pyruvate, lactate, and glycerol. Sampling was performed six times per day for a maximum of 6 days. The daily mean values of MD measurements were calculated for each patient. Arterial blood was analyzed for glucose, lactate, and glycerol concomitantly with dialysate sampling. Blood glucose and tissue glucose levels along with lactate levels were high during the entire study period. Tissue pyruvate and glycerol were also raised, whereas the lactate-pyruvate ratio was preserved. At study entry, patients with septic shock had higher tissue lactate (3.3 vs. 1.9 mmol/L, P = 0.01) and glycerol (340 vs. 169 μmol/L, P = 0.04) levels compared with those without shock. Nonsurvivors had higher tissue lactate (P = 0.008), glycerol (P = 0.004), and pyruvate (P = 0.002) levels than survivors during the whole observation period. Logistic regression analysis showed that age (odds ratio [OR], 1.075; 95% confidence interval [CI], 1.004-1.150; P = 0.03), Sequential Organ Failure Assessment score on day 1 (OR, 1.550; 95% CI, 1.043-2.312; P = 0.03), and tissue glycerol on day 1 (OR, 1.007; 95% CI, 1.001-1.012; P = 0.01) predicted mortality independently. In conclusion, critical sepsis is characterized by high tissue lactate and pyruvate levels and a preserved lactate-pyruvate ratio, suggesting a nonischemic mechanism for raised blood lactate levels. Septic shock is associated with higher tissue lactate and glycerol levels compared with sepsis without shock. Elevated tissue lactate, pyruvate, and glycerol levels are related to poor clinical outcome, with the latter constituting an independent predictor. Copyright © 2011 by the Shock Society

    Plasma Glial Fibrillary Acidic Protein in the Differential Diagnosis of Intracerebral Hemorrhage

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    Background and Purpose - Plasma GFAP (glial fibrillary acidic protein) has recently emerged as a potential biomarker for the differentiation of acute intracerebral hemorrhage (ICH) from acute ischemic stroke (AIS). We prospectively assessed the diagnostic accuracy of GFAP in the differential diagnosis of ICH. Methods - Consecutive patients presenting to the emergency department within 6 hours from symptom onset were evaluated. All patients underwent extensive diagnostic work-up and were classified according to discharge diagnosis in AIS, ICH, subarachnoid hemorrhage, and stroke mimics. GFAP was also measured in healthy volunteers (controls). Baseline stroke severity was evaluated using National Institutes of Health Stroke Scale. Receiver operating characteristic curve analysis was used to identify the optimal cutoff point for the differentiation between subgroups. Correlation analyses of GFAP plasma concentrations with baseline National Institutes of Health Stroke Scale and onset to sampling time were performed with the nonparametric Spearman rank test and fractional polynomial regression, respectively. Results - Our study population consisted of 270 individuals (AIS: 121, ICH: 34, stroke mimics: 31, subarachnoid hemorrhage: 5, controls: 79). No differences on baseline stroke severity and onset to sampling time were detected between AIS and ICH. Higher median plasma GFAP values were documented in ICH compared with AIS, stroke mimics, and controls (P<0.001). Receiver operating characteristic analysis highlighted a cutoff value of 0.43 ng/mL as the optimal threshold for the differentiation between ICH and AIS (sensitivity: 91%, specificity: 97%). No association was detected between plasma GFAP concentrations and baseline stroke severity for both AIS (P=0.515) and ICH (P=0.387). In the fractional polynomial analysis, the association between GFAP concentration and onset to sampling time was best described by a J-shaped curve for AIS and an inverted U-shaped curve for ICH, with a peak at 2 hours. Conclusions - Plasma GFAP seems to be a sensitive and specific biomarker for the differentiation of ICH from both AIS and other acute neurological disorders, with the optimal diagnostic yield being present in the second hour from symptom onset. © 2017 American Heart Association, Inc

    Prevalence of Symptomatic Intracranial Atherosclerosis in Caucasians: A Prospective, Multicenter, Transcranial Doppler Study

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    BACKGROUND: There are limited data available regarding symptomatic intracranial atherosclerosis (SIA) prevalence in Caucasians. We sought to investigate SIA prevalence among Caucasian patients hospitalized with acute cerebral ischemia (ACI) in a prospective, multicenter Transcranial Doppler sonography (TCD) study. METHODS: Consecutive patients with ACI were prospectively evaluated with TCD over a 24-month-period. The previously validated criteria of SONIA trial were used for detection of >50% intracranial stenosis with TCD. Brain angiography was performed to confirm the diagnosis in cases with abnormal TCD findings. SIA was diagnosed when there was evidence of a cerebral infarction in the territory of the stenotic artery (identified by TCD and confirmed by Magnetic resonance angiography [MRA]/Computed tomography angiography [CTA]). RESULTS: A total of 467 consecutive patients with ACI (60.4% men, mean age 58 ± 14 years) were evaluated. SIA was documented in 43 patients (9.2%; 95%CI: 6.9%-12.2%). The most common SIA location was M1MCA (34.9%) followed by TICA (18.8%). Diabetes mellitus (OR: 4.25, 95%CI: 2.18-8.26; P < .001) and hypertension (OR: 2.41, 95%CI: 1.02-5.67; P = .045) were independently associated with SIA on multivariate models adjusting for potential confounders. CONCLUSIONS: SIA was identified in almost 10% of patients admitted with symptoms of ACI. These preliminary findings support further collaborative initiatives among stroke physicians to increase the yield of SIA detection in Caucasian patients with ACI. © 2012 by the American Society of Neuroimaging
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