Metabonomic @ encephalopathy

Alcohol dependence is a chronic, relapsing encephalopathy characterized by compulsive craving for alcohol, loss of control over alcohol use, and the presence of negative emotions and physical discomfort when alcohol is unavailable. Harmful use of alcohol is one of the greatest risk factors for death, illness, and disability. Rho kinase inhibitors have neuroprotective effects. This study used metabonomics analysis to assess untreated astrocytes, astrocytes exposed to 75 mmol/L of alcohol, and astrocytes exposed to 75 mmol/L of alcohol and treated with 15 µg/mL fasudil for 24 h...

OBJECTIVE: To analyze the serum metabolite profiling of HBV-induced liver cirrhosis patients who have MHE, to seek out the specific biomarkers of MHE, to reveal the pathogenesis of MHE and to explore a promising approach for early diagnosis of MHE by using GC-TOFMS and UPLC-QTOFMS metabonomic analytical techniques in combination with bioinformatics and pattern recognition analysis methods. METHOD: Sera samples of 100 normal controls (NC group), 29 cases of HBV-induced liver cirrhosis patients who have MHE (MHE group) and 24 cases of HBV-induced liver cirrhosis patients without MHE (including 12 cases of compensated cirrhosis (CS group) and 12 cases of decompensated cirrhosis (DS group)) were collected and employed into GC-TOFMS and UPLC-QTOFMS platforms for sera metabolites detection, the outcome data were then analyzed by principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA)...

Recently, increasing attention has been paid to diabetic encephalopathy, which is a frequent diabetic complication and affects nearly 30% of diabetics. Because cognitive dysfunction from diabetic encephalopathy might develop into irreversible dementia, early diagnosis and detection of this disease is of great significance for its prevention and treatment. This study is to investigate the early specific metabolites biomarkers in urine prior to the onset of diabetic cognitive dysfunction (DCD) by using metabolomics technology...

Hepatic encephalopathy (HE) is a neuropsychiatric syndrome which frequently accompanies acute or chronic liver disease. It is characterized by a variety of symptoms of different severity such as cognitive deficits and impaired motor functions. Currently, HE is seen as a consequence of a low grade cerebral oedema associated with the formation of cerebral oxidative stress and deranged cerebral oscillatory networks. However, the pathogenesis of HE is still incompletely understood as liver dysfunction triggers exceptionally complex metabolic derangements in the body which need to be investigated by appropriate technologies...

AIM: To identify plasma metabolites used as biomarkers in order to distinguish cirrhotics from controls and encephalopathics. METHODS: A clinical study involving stable cirrhotic patients with and without overt hepatic encephalopathy was designed. A control group of healthy volunteers was used. Plasma from those patients was analysed using (1)H - nuclear magnetic resonance spectroscopy. We used the Carr Purcell Meiboom Gill sequence to process the sample spectra at ambient probe temperature...

While neurochemical metabolite modifications, determined by different techniques, have been diffusely reported in human and mice brains affected by transmissible spongiform encephalopathies (TSEs), this aspect has been little studied in the natural animal hosts with the same pathological conditions so far. Herein, we investigated, by high resolution (1)H NMR spectroscopy and multivariate statistical data analysis, the brain metabolite profile of sheep exposed to a scrapie agent in a naturally affected flock...

Minimal hepatic encephalopathy (MHE) reduces quality of life of cirrhotic patients, predicts overt hepatic encephalopathy, and is associated with poor prognosis. We hypothesized that MHE arises once metabolic alterations derived from the liver reach a particular threshold. Our aim was to assess whether metabolic profiling of serum samples by high-field (1)H-nuclear magnetic resonance spectroscopy ((1)H NMR) and subsequent multivariate analyses would be useful to characterize metabolic perturbations associated with MHE and to identify potential metabolic biomarkers...

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BACKGROUND: There are no good biomarkers for grading hepatic encephalopathy (HE) and monitoring the effectiveness of therapeutic measures. METHODS: We applied (1)H nuclear magnetic resonance (NMR)-based metabonomics of brain samples obtained from acute liver failure rats sacrificed after ligation of the hepatic artery (at 6 h, precoma and coma stages), sham-operated controls and mild hypothermia (35 degrees C) for 6 or 15 h as a therapeutic measure. RESULTS: Partial least square discriminant analysis established a classification model that scored the severity of encephalopathy...