Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0023890 (cirrhosis)
 42,195 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

2D-TOF MR angiographies were performed in seven patients of liver cirrhosis with hepatocellular carcinoma to investigate three-dimensional anatomical relationships of the right hepatic vein and first order of right portal vein branch. The puncture course was set up in three-dimensional rectangular coordinates, and the bend angle and turning angle of the modified Ross needle, and puncture distance were calculated of the data measured on the A-P and L-R projection images of MR angiograms. The utility and limitation of 2 D-TOF MR angiography to determine the puncture course on TIPS were discussed in this study.
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PMID:[Analysis of three-dimensional imaging of the right hepatic vein and right portal vein branch using 2D-TOF MR angiography: evaluation of utility of MR angiography in determining puncture course on TIPS]. 812 73

Liver cirrhosis is a worldwide health problem. Reliable, noninvasive methods for early detection of liver cirrhosis are not available. Using a three-step approach, we classified sera from rats with liver cirrhosis following different treatment insults. The approach consisted of: (i) protein profiling using surface-enhanced laser desorption/ionization (SELDI) technology; (ii) selection of a statistically significant serum biomarker set using machine learning algorithms; and (iii) identification of selected serum biomarkers by peptide sequencing. We generated serum protein profiles from three groups of rats: (i) normal (n=8), (ii) thioacetamide-induced liver cirrhosis (n=22), and (iii) bile duct ligation-induced liver fibrosis (n=5) using a weak cation exchanger surface. Profiling data were further analyzed by a recursive support vector machine algorithm to select a panel of statistically significant biomarkers for class prediction. Sensitivity and specificity of classification using the selected protein marker set were higher than 92%. A consistently down-regulated 3495 Da protein in cirrhosis samples was one of the selected significant biomarkers. This 3495 Da protein was purified on-chip and trypsin digested. Further structural characterization of this biomarkers candidate was done by using cross-platform matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) peptide mass fingerprinting (PMF) and matrix-assisted laser desorption/ionization time of flight/time of flight (MALDI-TOF/TOF) tandem mass spectrometry (MS/MS). Combined data from PMF and MS/MS spectra of two tryptic peptides suggested that this 3495 Da protein shared homology to a histidine-rich glycoprotein. These results demonstrated a novel approach to discovery of new biomarkers for early detection of liver cirrhosis and classification of liver diseases.
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PMID:Molecular classification of liver cirrhosis in a rat model by proteomics and bioinformatics. 1537 89

Surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF MS) is a proteomic technique that enables the profiling of proteins present in any biological material studied. We used this approach to identify new biomarkers of hepatocellular carcinoma (HCC) in the sera of patients with cirrhosis. Sera from 82 patients with cirrhosis, either without (n = 38) or with (n = 44) HCC, were analyzed by SELDI-TOF MS, and the results of the two groups were compared. The most efficient protein peaks leading to discrimination of patients with HCC were selected (receiver operative characteristic curves). The highest-scoring peak combination was established in a first group of serum samples (multinomial regression) and was tested in an independent group. The protein corresponding to the highest discrimination was purified and characterized further. The intensity of 30 protein peaks significantly differed between cirrhotic patients with and without HCC. An algorithm including the six highest-scoring peaks allowed correct classification (presence or absence of HCC) of 92.5% of patients in the test sample set and 90% in the validation sample set. The highest discriminating peak (8900 Da) was purified further and was characterized as the C-terminal part of the V10 fragment of vitronectin. An in vitro study suggested that the increase of the 8900-Da fragment in the serum of patients with HCC may proceed from the cleavage of native vitronectin with metalloproteases, a family of enzymes whose activity is enhanced in HCC. In conclusion, global protein profiling is an efficient approach that enabled us to identify a catalytic fragment ofvitronectin as a new serum marker of HCC in patients with chronic liver diseases.
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PMID:Identification of a new marker of hepatocellular carcinoma by serum protein profiling of patients with chronic liver diseases. 1569 Apr 80

Proteomic profiling of serum is an emerging technique to identify new biomarkers indicative of disease severity and progression. The objective of our study was to assess the use of surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) to identify multiple serum protein biomarkers for detection of liver disease progression to hepatocellular carcinoma (HCC). A cohort of 170 serum samples obtained from subjects in the United States with no liver disease (n = 39), liver diseases not associated with cirrhosis (n = 36), cirrhosis (n = 38), or HCC (n = 57) were applied to metal affinity protein chips for protein profiling by SELDI-TOF MS. Across the four test groups, 38 differentially expressed proteins were used to generate multiple decision classification trees to distinguish the known disease states. Analysis of a subset of samples with only hepatitis C virus (HCV)-related disease was emphasized. The serum protein profiles of control patients were readily distinguished from each HCV-associated disease state. Two-way comparisons of chronic hepatitis C, HCV cirrhosis, or HCV-HCC versus healthy had a sensitivity/specificity range of 74% to 95%. For distinguishing chronic HCV from HCV-HCC, a sensitivity of 61% and a specificity of 76% were obtained. However, when the values of known serum markers alpha fetoprotein, des-gamma carboxyprothrombin, and GP73 were combined with the SELDI peak values, the sensitivity and specifity improved to 75% and 92%, respectively. In conclusion, SELDI-TOF MS serum profiling is able to distinguish HCC from liver disease before cirrhosis as well as cirrhosis, especially in patients with HCV infection compared with other etiologies.
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PMID:SELDI-TOF MS profiling of serum for detection of the progression of chronic hepatitis C to hepatocellular carcinoma. 1572 46

Neuroimaging and post-mortem studies indicate that chronic alcohol use induces global changes in brain morphology, such as cortical and subcortical atrophy. Recent studies have shown that frontal lobe structures are specifically susceptible to alcohol-related brain damage and shrinkage in this area is largely due to a loss of white matter. This may explain the high incidence of cognitive dysfunction observed in alcoholics. Using a proteomics-based approach, changes in protein expression in the dorsolateral prefrontal region (BA9) white matter were identified in human alcoholic brains. Protein extracts from the BA9 white matter of 25 human brains (10 controls; eight uncomplicated alcoholics; six alcoholics complicated with hepatic cirrhosis; one reformed alcoholic) were separated using two-dimensional gel electrophoresis. Overall, changes in the relative expression of 60 proteins were identified (P<0.05, ANOVA) in the alcoholic BA9 white matter. In total, 18 protein spots have been identified using MALDI-TOF; including hNP22, alpha-internexin, transketolase, creatine kinase chain B, ubiquitin carboxy-terminal hydrolase L1 and glyceraldehyde-3-phosphate dehydrogenase. Several of these proteins have been previously implicated in alcohol-related disorders and brain damage. By identifying changes in protein expression in this region from alcoholics, hypotheses may draw upon more mechanistic explanations as to how chronic ethanol consumption causes white matter damage.
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PMID:Differential protein expression in the prefrontal white matter of human alcoholics: a proteomics study. 1617 12

This paper presents computational methods to analyze MALDI-TOF mass spectrometry data for quantitative comparison of peptides and glycans in serum. The methods are applied to identify candidate biomarkers in serum samples of 203 participants from Egypt; 73 hepatocellular carcinoma (HCC) cases, 52 patients with chronic liver disease (CLD) consisting of cirrhosis and fibrosis cases, and 78 population controls. Two complementary sample preparation methods were applied prior to generating mass spectra: (1) low molecular weight (LMW) enrichment of each serum sample was carried out for MALDI-TOF quantification of peptides, and (2) glycans were enzymatically released from proteins in each serum sample and permethylated for MALDI-TOF quantification of glycans. A peak selection algorithm was applied to identify the most useful peptide and glycan peaks for accurate detection of HCC cases from high-risk population of patients with CLD. In addition to global peaks selected by the whole population based approach, where identically labeled patients are treated as a single group, subgroup-specific peaks were identified by searching for peaks that are differentially abundant in a subgroup of patients only. The peak selection process was preceded by peak screening, where we eliminated peaks that have significant association with covariates such as age, gender, and viral infection based on the peptide and glycan spectra from population controls. The performance of the selected peptide and glycan peaks was evaluated in terms of their ability in detecting HCC cases from patients with CLD in a blinded validation set and through the cross-validation method. Finally, we investigated the possibility of using both peptides and glycans in a panel to enhance the diagnostic capability of these candidate markers. Further evaluation is needed to examine the potential clinical utility of the candidate peptide and glycan markers identified in this study.
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PMID:Analysis of MALDI-TOF mass spectrometry data for discovery of peptide and glycan biomarkers of hepatocellular carcinoma. 1818 45

The incidence of hepatocellular carcinoma (HCC) is highest among primary liver cancer. HBV and HBV-induced liver cirrhosis may lead to HCC (1). At present, it is difficult to diagnose HCC at early stage or to differentiate HCC. Therefore, it is much needed to explore and develop a simple, rapid diagnostic method, which has higher sensitivity and specificity for HCC at early stage (2, 3). Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) is a novel non-electrophoresis-based proteomic technology. SELDI offers the advantages of rapid and simple examination as well as high specificity and sensitivity (4, 5). To our knowledge,there has been little study reported using SELDI-TOF-MS technology to investigate HCC. In this study, 25 cases of HCC patients not receiving any therapy, 25 cases receiving the interposition chemotherapy and 50 cases of the healthy people were tested by Weak cationic exchange (WCX2) protein chip and SELDI-TOF-MS. The differentially expressed peptides or proteins were analyzed by BioMarker Wizard software. At the different M/Z value range, seven peptides/ proteins were obviously different among these three groups. Four peptides including 6489.48Da, 6662.34Da, 8593.75Da and 8720.23Da were up-regulated in healthy controls, two including 7777.27Da and 9250.00Da were up-regulated in the patients with HCC without receiving any therapy and one protein of 16200.17Da was up-regulated in the patients with HCC receiving the interposition chemotherapy. Using Biomarker Pattern software, one pattern including two peptides (7777.27Da, 9250.00Da) can separate HCC without receiving any therapy from normal controls. This diagnosis pattern gave the much-improved sensitivity of 92% and the specificity of 100%. Through searching protein database, these seven peptides or proteins were identified as possible Galanin related peptide, Pro-neuregulin-4 protein, small inducible cytokine A15 precursor, 9 kDa protein, CSL-zincfinger protein 1, mitochondrial hinge protein, actin related protein, respectively. Using SELDI-TOF MS, the method of sieving the tumor markers from HCC becomes quick and valid. These differentially expressed peptides or proteins could be biomarkers of HCC in the serum and drug targets for treating HCC.
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PMID:SELDI-TOF MS proteinchip technology for screening of serum markers of HBV-induced hepatocellular carcinoma. 1836 45

Ascites is a common clinical symptom in liver cirrhosis, inflammatory disorders of the abdomen and a major late manifestation of metastatic malignancies. Standard cytopathological techniques and immunocytochemistry have specificities and sensitivities of approximately 95 and 60%, respectively for the presence of tumor cells. Development of faster and more accurate screening methods would be of great clinical utility. In this work we examined differential analysis of the unbound proteins in the supernatant of ascites fluid by Protein-Chip SELDI mass spectrometry. There were 21 tumor cell-positive and 34 tumor cell-negative samples. We used principal component analysis coupled with linear regression applied to the mass spectra of the samples to distinguish between the sample groups. Two sample sets for statistical analysis were created after randomization, a training set with 37 samples and a validation set with 18 samples resulting in a specificity of 93% and a sensitivity of 83% on the training set. The validation set yielded a specificity and sensitivity of 75%. This study suggests that SELDI-TOF mass spectrometry appears to have great potential as a surrogate diagnostic tool to evaluate effusion specimens.
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PMID:Protein profiling of non-malignant and malignant ascites by SELDI-TOF MS: proof of principle. 1908 1

Hepatitis delta virus (HDV) infects human hepatocytes already infected with the hepatitis B virus increasing about ten fold the risk of cirrhosis and fulminant hepatitis. The lack of an appropriate cell culture system capable of supporting virus replication has so far impaired the detailed investigation of the HDV biology including the identification of host factors involved in pathogenesis. Here, we made use of a HDV cDNA stably transfected cell line, Huh7-D12, in a proteomic approach to identify the changes in the protein expression profiles in human liver cells that arise as a consequence of HDV replication. Total protein extracts from Huh7-D12 cells and of the corresponding non transfected human liver carcinoma cell line, Huh7, were separated by 2-DE. Differentially expressed spots were identified by MALDI-TOF followed by database searching. We identified 23 differentially expressed proteins of which 15 were down regulated and 8 up regulated in Huh7-D12 cells. These proteins were found to be involved in different cellular pathways. The down regulation of the histone H1-binding protein and of triosephosphate isomerase was confirmed by Real time PCR, and the up regulation of the La protein and lamin A/C was validated by western blot.
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PMID:Proteome analysis of a human liver carcinoma cell line stably expressing hepatitis delta virus ribonucleoproteins. 1913 81

Lack of sensitive and specific biomarkers is a major reason for the high rate of hepatocellular carcinoma (HCC) related mortality. The aim of this study was to use surface-enhanced laser desorption/ionization-time-of-flight mass spectroscopy (SELDI-TOF-MS) technology to identify potential protein patterns specific for HCC. Eighty-one patients with hepatitis B-related HCC and 80 healthy controls were randomly divided into a training set (48 HCC, 47 controls) and a testing set (33 HCC, 33 controls). Serum proteomic profiles were measured using SELDI-TOF-MS. A classification tree was established by Biomarker Pattern Software. Candidate biomarkers were separated by HPLC and identified by MALDI-MS/MS and database searching. Forty-eight HCC cases, 54 liver cirrhosis cases and 42 healthy people were clinically validated using candidate biomarkers by SELDI-Immunoassay. Two up-regulated protein peaks were automatically chosen as a classification tree in the training set. These biomarkers were identified as thrombin light chain and growth related oncogene-alpha (GRO-alpha). The sensitivity and specificity of this classification tree were 89.6%. The multivariate model using the two biomarkers and AFP resulted in a sensitivity of 91.7% and specificity of 92.7%, which was significantly better than that of alpha-fetoprotein alone. We conclude that thrombin light chain and GRO-alpha are potential biomarkers of HCC.
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PMID:Identifying serological biomarkers of hepatocellular carcinoma using surface-enhanced laser desorption/ionization-time-of-flight mass spectroscopy. 1926 39


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