The interaction between intratumoral bacteria and metabolic distortion in hepatocellular carcinoma
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Abstract:
Intratumoral bacteria might play essential roles in tumorigenesis in different cancer types. However, its features and potential roles in hepatocellular carcinoma (HCC) are largely unknown.The field of metabolomics for cancer diagnosis and characterization is relatively new, and especially the application of metabolomics for in-vivo cancer imaging is still in its infancy. Cancer metabolomics involves the study of global variations of metabolites, with which malignancy conditions can be evaluated by profiling the entire measurable metabolome, instead of focusing only on certain metabolites or isolated metabolic pathways. At present, the study of cancer metabolomics is mainly accomplished utilizing magnetic resonance spectroscopy (MRS) and mass spectrometry (MS). These studies aim to uncover disease-specific metabolomic profiles in order to better understand variations in the involved pathways of cancer metabolism, and to utilize these profiles to establish metabolomic criteria for cancer detection, characterization, and patient prognostication and monitoring. The ultimate goal for cancer metabolomics is its implementation in the clinic to improve clinical abilities for cancer diagnosis and characterization, and through the development of in-vivo metabolomic imaging these clinical goals can be achieved noninvasively.
Keywords:
cancer;
metabolomics;
metabolomic imaging;
magnetic resonance spectroscopy;
mass spectrometry
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Foreword. Preface. 1. The background to hepatocellular carcinoma and the liver. 2. Premalignant lesions of hepatocellular carcinoma. 3. Pathomorphologic characteristics of early-stage small hepatocellular carcinoma. 4. Morphologic evolution of hepatocellular carcinoma: from early to advanced. 5. Angioarchitecture of hepatocellular carcinoma. 6. Advanced hepatocellular carcinoma. 7. Multicentric occurrence of hepatocellular carcinoma. 8. Combined hepatocellular carcinoma and cholangiocarcinoma. 9. Nodular lesions mimicking hepatocellular carcinoma. 10. Biopsy diagnosis of tumorous lesions of the liver. 11. Chemoprevention of hepatocellular carcinoma. Index
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Hepatocellular carcinoma is the most common malignancy among males and the 7th among female patients in the Kingdom of Saudi Arabia. This is due to the endemicity of hepatitis B and hepatitis C. Spontaneous rupture of hepatocellular carcinoma is rare. We report 4 cases of spontaneous rupture of hepatocellular carcinoma. Initial control of bleeding was achieved surgically in 3 patients and by embolization in the 4th patient. All patients had very good hepatic reserve as reflected by Child-Pugh scoring (A & B). We found that the incidence of ruptured hepatocellular carcinoma among 85 patients was 4.7%. The prognosis of this subgroup of patients is poor as reflected by the low median survival ranging from 6-16 weeks.
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Metabolomics, the analysis of the metabolite profile in body fluids or tissues, is being applied to the analysis of a number of different diseases as well as being used in following responses to therapy. While genomics involves the study of gene expression and proteomics the expression of proteins, metabolomics investigates the consequences of the activity of these genes and proteins. There is good reason to think that metabolomics will find particular utility in the investigation of inflammation, given the multi-layered responses to infection and damage that are seen. This may be particularly relevant to eye disease, which may have tissue specific and systemic components. Metabolomic analysis can inform us about ocular or other body fluids and can therefore provide new information on pathways and processes involved in these responses. In this review, we explore the metabolic consequences of disease, in particular ocular conditions, and why the data may be usefully and uniquely assessed using the multiplexed analysis inherent in the metabolomic approach.
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Each cell contains many different metabolites and chemical molecules which are generated during cellular process. All the metabolites present in a cell at a particular time is called metabolome. The study of all the metabolites and their modification in a particular condition is called metabolomics. Metabolome is closely linked with genotype, physiology and environment. So,in a nutshell, metabolomics is the study of substrates and products of metabolism which are influenced by the genetic and environmental factors. In plants, metabolomics has now been frequently developed and studied in biotic and abiotic stress resistance. High throughput metabolomics includes time efficient and effective metabolite profiling techniques. These techniques are chromatography based and chromatography free methods. Chromatographic methods are NMR, GC-MS and LC-MS . Chromatographv free techniques include DI-MS,FI-MS,MALDI and Ambient MS . This paper will give an idea about how metabolomics work in elucidating plants phenotype, how sample is prepared for metabolite profiling, different techniques of metabolite profiling and various metabolomic databases.
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Metabolomics is a field of systems biology that draws on the scientific methods of other groups to qualitatively or quantitatively characterize small molecule metabolites in organisms, revealing their interconnections with the state of the organism at an overall relative macroscopic level. Diabetic kidney disease (DKD) is well known as a chronic metabolic disease, and metabolomics provides an excellent platform for its clinical study. A growing number of metabolomic analyses have revealed that individuals with DKD have metabolic disturbances of multiple substances in their bodies. With the continuous development and improvement of metabolomic analysis technology, the application of metabolomics in the clinical research of DKD is also expanding. This review discusses the recent progress of metabolomics in the early diagnosis, disease prognosis, and pathogenesis of DKD at the level of small molecule metabolites in vivo.
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Metabolomics is the study which detects the changes of metabolites level. Metabolomics is a terminal view of the biological system. The end products of the metabolism, metabolites, reflect the responses to external environment. Therefore metabolomics gives the additional information about understanding the metabolic pathways. These metabolites can be used as biomarkers that indicate the disease or external stresses such as exposure to toxicant. Many kinds of biological samples are used in metabolomics, for example, cell, tissue, and bio fluids. NMR spectroscopy is one of the tools of metabolomics. NMR data are analyzed by multivariate statistical analysis and target profiling technique. Recently, NMR-based metabolomics is a growing field in various studies such as disease diagnosis, forensic science, and toxicity assessment.
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Abstract Hyperuricemia (HUA) seriously harms human health but the exact etiology and pathogenesis of HUA are not fully understood. Therefore, it is still of great significance to find effective biomarkers and explore the pathogenesis of HUA. Metabolomics reflects the influence of internal and external factors on system metabolism, explains the changes in metabolite levels during the development of diseases, and reveals the molecular mechanism of pathogenesis. Metabolomics is divided into untargeted metabolomics and targeted metabolomics according to different research modes. Each other's advantages can be fully utilized by combining the two so that the results of metabolomics research can be consummated. 20 HUA patients and 20 healthy individuals participated in the experiment, and untargeted metabolomics was employed to find 50 differential metabolites in HUA serum samples. Twelve candidate biomarkers were screened based on literature research and ROC Curve analysis for subsequent verification. Based on the UPLC-TQ-MS analysis platform, the targeted metabolomics detection methods were established and the content of 12 candidate biomarkers was precisely quantified. Compare with the results of untargeted metabolomics, the targeted metabolomics results were considered more reliable.
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The aim of this study was to determine the characteristics of hepatocellular carcinoma at a major health center in southern Turkey. Computed tomography was compared to the combination of ultrasonography and serum alpha-fetoprotein determination in the diagnosis of hepatocellular carcinoma.Of 226 patients with liver cirrhosis, 35 were diagnosed with hepatocellular carcinoma on first admission or during follow-up in the period between 1999 and 2002. The features investigated were, age at time of hepatocellular carcinoma diagnosis, etiology of cirrhosis, severity of cirrhosis at presentation, tumor pattern, stage of hepatocellular carcinoma, serum alpha-fetoprotein level, and dynamic computed tomography findings. Results were compared to previous findings in Turkey and elsewhere.In the hepatocellular carcinoma patients, the male:female ratio was 4:1 and the mean age at presentation was 61 years. Chronic hepatitis B virus infection (65.7%) and chronic hepatitis C virus infection (28.6%) were the most frequently identified risk factors for hepatocellular carcinoma. Forty percent of the patients had Child-Pugh A cirrhosis when they were diagnosed with hepatocellular carcinoma. Sixty-seven percent of patients had fewer than three hepatocellular carcinoma nodules in the liver at the time of diagnosis. Only three of the hepatocellular carcinoma cases were Okuda stage I. The combination of ultrasonography and serum alpha-fetoprotein >20 ng/ml identified hepatocellular carcinoma in 32 of the 35 total cases.The results indicate that hepatitis B virus infection in patients with cirrhosis is still the leading risk factor for the development of hepatocellular carcinoma. Also, early-stage hepatocellular carcinoma is rarely diagnosed in cirrhosis patients from this region of Turkey. Surveillance with computed tomography for early diagnosis of hepatocellular carcinoma seems not to be mandatory.
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