Hepatitis C virus infection diagnosis using metabonomics

Godoy, Michele Maria Gonçalves de; Lopes, Edmundo Pessoa; Silva, Ricardo Oliveira; Hallwass, Fernando; Koury, L. C. A.; Moura, Izolda; Gonçalves, Simone M. C.; Simas, Alfredo M.

doi:10.1111/j.1365-2893.2009.01252.x

Cited by 54 publications

(46 citation statements)

References 37 publications

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“…No biological discussion of the findings was made. There has been a claim that NMR metabolomics on urine can distinguish HCV-infected from uninfected persons [90], although little data were provided. A metabolomic comparison of HCV-infected and mock-infected hepatocytes revealed small but significant increases in alanine, tyrosine and adenosine with HCV infection [91].…”

Section: The Metabolomic Window Into Other Hepatobiliary Diseasesmentioning

confidence: 99%

The metabolomic window into hepatobiliary disease

Beyoğlu¹,

Idle²

2013

Journal of Hepatology

200

198

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Summary The emergent discipline of metabolomics has attracted considerable research effort in hepatology. Here we review the metabolomic data for nonalcoholic fatty liver disease (NAFLD), nonalcoholic steatohepatitis (NASH), cirrhosis, hepatocellular carcinoma (HCC), cholangiocarcinoma (CCA), alcoholic liver disease (ALD), hepatitis B and C, cholecystitis, cholestasis, liver transplantation and acute hepatotoxicity in animal models. A metabolomic window has permitted a view into the changing biochemistry occurring in the transitional phases between a healthy liver and hepatocellular carcinoma or cholangiocarcinoma. Whether provoked by obesity and diabetes, alcohol use or oncogenic viruses, the liver develops a core metabolomic phenotype (CMP) that involves dysregulation of bile acid and phospholipid homeostasis. The CMP commences at the transition between the healthy liver (Phase 0) and NAFLD/NASH, ALD or viral hepatitis (Phase 1). This CMP is maintained in the presence or absence of cirrhosis (Phase 2) and whether or not either HCC or CCA (Phase 3) develop. Inflammatory signalling in the liver triggers the appearance of the CMP. Many other metabolomic markers distinguish between Phases 0, 1, 2 and 3. A metabolic remodelling in HCC has been described but metabolomic data from all four Phases demonstrate that the Warburg shift from mitochondrial respiration to cytosolic glycolysis foreshadows HCC and may occur as early as Phase 1. The metabolic remodelling also involves an upregulation of fatty acid β-oxidation, also beginning in Phase 1. The storage of triglycerides in fatty liver provides high energy-yielding substrates for Phases 2 and 3 of liver pathology. The metabolomic window into hepatobiliary disease sheds new light on the systems pathology of the liver.

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Section: The Metabolomic Window Into Other Hepatobiliary Diseasesmentioning

confidence: 99%

The metabolomic window into hepatobiliary disease

Beyoğlu¹,

Idle²

2013

Journal of Hepatology

200

198

View full text Add to dashboard Cite

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“…The median of the patient's age who were included in this model was 61 (56-70), admission APACHE score: 22 (16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27), admission SOFA score: 11 (5)(6)(7)(8)(9)(10)(11)(12)(13)(14), and the length of ICU stay: 4.8 days (3.5-7.8 d). In total, 20 metabolites were significant for the differentiation among these two patient groups.…”

Section: Mortality Modelmentioning

confidence: 99%

“…It is based on the use of analytical platforms such as nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS) (13)(14)(15) (for more information about NMR and MS techniques, see the online data supplement, Supplemental Digital Content 1, http://links.lww.com/CCM/A796). It has already been demonstrated that metabolomics is an efficient technique for the discovery of molecular markers of various infectious diseases, for example, hepatitis C virus infections (16) or urinary tract infections (17). In the current study, we have used 1 H NMR spectroscopy and a quantitative metabolic profiling approach (18) to detect specific metabolic fingerprints of adult septic shock patients in the ICU.…”

mentioning

confidence: 99%

Metabolic Profiling of Serum Samples by 1H Nuclear Magnetic Resonance Spectroscopy as a Potential Diagnostic Approach for Septic Shock*

Mickiewicz

Duggan

Winston

et al. 2014

Critical Care Medicine

108

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“…Metabolomics is defined as "the quantitative measurement of the metabolic response of living systems to pathophysiological stimuli or genetic modification" (13,14) and is based on analytical platforms such as proton nuclear magnetic resonance spectroscopy ( 1 H NMR) and/or mass spectrometry (13,14). It has been described that metabolomics is a very efficient tool for discovering biomarkers of various infectious diseases, such as severe childhood pneumonia (15) or hepatitis C virus infection (16). So far, most of metabolomics studies associated with sepsis have been reported for animal models (17)(18)(19), and there have been no published metabolomics studies of pediatric septic shock.…”

mentioning

confidence: 99%

Metabolomics as a Novel Approach for Early Diagnosis of Pediatric Septic Shock and Its Mortality

Mickiewicz

Vogel²,

Wong³

et al. 2013

Am J Respir Crit Care Med

167

175

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Rationale: Septic shock is a significant cause of morbidity and mortality in the pediatric population. Early recognition of septic shock and appropriate treatment increase survival rate; thus, developing new diagnostic tools may improve patients' outcomes. Objectives: To determine whether a metabolomics approach could be useful in the diagnosis and prognosis of septic shock in pediatric intensive care unit (PICUs). Methods: Serum samples were collected from 60 patients with septic shock, 40 PICU patients with systemic inflammatory response syndrome (not suspected of having an infection), and 40 healthy children. Proton nuclear magnetic resonance spectroscopy spectra were analyzed and quantified using targeted profiling methodology. Measurements and Main Results: Multivariate statistical analysis was applied to detect specific patterns in metabolic profiles and to highlight differences between patient samples. Supervised analysis afforded good predictive models and managed to separate patient populations. Some of the metabolite concentrations identified in serum samples changed markedly, indicating their influence on the separation between patient groups. These metabolites represent a composite biopattern of the pediatric metabolic response to septic shock and might be considered as the basis for a biomarker panel for the diagnosis of septic shock and its mortality in PICU. Conclusions: Our results indicate that nuclear magnetic resonance metabolite profiling might serve as a promising approach for the diagnosis and prediction of mortality in septic shock in a pediatric population and that quantitative metabolomics methods can be applied in the clinical evaluations of pediatric septic shock.Keywords: pediatric septic shock; biomarkers; metabolomics; proton nuclear magnetic resonance spectroscopy; mortalityIn the 1980s the death rate from septic shock in children was around 50% (1, 2), but over the past few decades with better early diagnosis and therapy it has decreased to approximately 10% (3, 4). Unfortunately, in third world countries the mortality rate is still extremely high (5, 6). Moreover, every hour of septic shock without appropriate resuscitation and restoration of blood pressure increases mortality risk by 40% (7). Septic shock is a very dynamic process, and the clinical status of a child can deteriorate quickly (8). The first hours after the diagnosis are called the "golden hours" for a patient's survival; therefore, aggressive and goal-directed treatment should be initiated as quickly as possible (9). It is reported that those children in whom septic shock is recognized early and properly treated have a much higher survival rate than children who were diagnosed later (10-12). Thus, developing diagnostic approaches that might accelerate disease recognition is extremely important to improve patient outcomes and decrease mortality.In this study we investigated whether we could use a metabolomics approach for the diagnosis and prognosis of pediatric septic shock. Metabolomics is defined as "the quantita...

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Hepatitis C virus infection diagnosis using metabonomics

Cited by 54 publications

References 37 publications

The metabolomic window into hepatobiliary disease

The metabolomic window into hepatobiliary disease

Metabolic Profiling of Serum Samples by 1H Nuclear Magnetic Resonance Spectroscopy as a Potential Diagnostic Approach for Septic Shock*

Metabolomics as a Novel Approach for Early Diagnosis of Pediatric Septic Shock and Its Mortality

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