scholarly journals Classification of Gan Dan Shi Re Pattern and Gan Shen Yin Xu Pattern in Patients with Hepatitis B Cirrhosis Using Metabonomics

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Chao-qun Zhao ◽  
Long Chen ◽  
Hong Cai ◽  
Wei-li Yao ◽  
Qun Zhou ◽  
...  
Keyword(s):  
Hepatitis B ◽  
Metabolic Pathways ◽  
Serum Samples ◽  
Flight Mass Spectrometry ◽  
Material Basis ◽  
Data Points ◽  
Scientific Nature ◽  
Objective Basis ◽  
Important Objective

Objective. This study aimed to analyze the differential metabolites and their metabolic pathways from the serum of patients with hepatitis B cirrhosis, with two typical patterns of Gan Dan Shi Re (GDSR) and Gan Shen Yin Xu (GSYX) based on the theory of traditional Chinese medicine (TCM). It also investigated the variation in the internal material basis for the two types of patterns and provided an objective basis for classifying TCM patterns using metabolomic techniques. Methods. The serum samples taken from 111 qualified patients (40 GDSR cases, 41 GSYX cases, and 30 Latent Pattern (LP) cases with no obvious pattern characters) and 60 healthy volunteers were tested to identify the differential substances relevant to hepatitis B cirrhosis and the two typical TCM patterns under the gas chromatography–time-of-flight mass spectrometry platform. The relevant metabolic pathways of differential substances were analyzed using multidimensional statistical analysis. Results. After excluding the influence of LP groups, six common substances were found in GDSR and GSYX patterns, which were mainly involved in the metabolic pathways of glycine, serine, threonine, and phenylalanine. Eight specific metabolites involved in the metabolic pathways of linoleic, glycine, threonine, and serine existed in the two patterns. Conclusions. The data points on the metabolic spectrum were found to be well distributed among the differential substances between the two typical TCM patterns of patients with hepatitis B cirrhosis using metabolomic techniques. The differential expression of these substances between GDSR and GSYX patterns provided an important objective basis for the scientific nature of TCM pattern classification at the metabolic level.

scholarly journals Comprehensive Proteomic Profiling Identifies Serum Proteomic Signatures for Detection of Hepatocellular Carcinoma and Its Subtypes

2003 ◽  
Vol 49 (5) ◽  
pp. 752-760 ◽  
Author(s):  
Terence C W Poon ◽  
Tai-Tung Yip ◽  
Anthony T C Chan ◽  
Christine Yip ◽  
Victor Yip ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Confidence Interval ◽  
Control Group ◽  
Proteomic Profiling ◽  
Disease Group ◽  
Serum Samples ◽  
Flight Mass Spectrometry ◽  
Third Dimension ◽  
Artificial Network

Abstract Background: Detection of hepatocellular carcinoma (HCC) in patients with chronic liver disease (CLD) is difficult. We investigated the use of comprehensive proteomic profiling of sera to differentiate HCC from CLD. Methods: Proteomes in sera from 20 CLD patients with α-fetoprotein (AFP) <500 μg/L (control group) and 38 HCC patients (disease group) were profiled by anion-exchange fractionation (first dimension), two types (IMAC3 copper and WCX2) of ProteinChip® Arrays (second dimension), and time-of-flight mass spectrometry (third dimension). Bioinformatic tests were used to identify tumor-specific proteomic features and to estimate the values of the tumor-specific proteomic features in the diagnosis of HCC. Cross-validation was performed, and we also validated the models with pooled sera from the control and disease groups, serum from a CLD patient with AFP >500 μg/L, and postoperative sera from two HCC patients. Results: Among 2384 common serum proteomic features, 250 were significantly different between the HCC and CLD cases. Two-way hierarchical clustering differentiated HCC and CLD cases. Most HCC cases with advanced disease were clustered together and formed two subgroups that contained significantly more cases with lymph node invasion or distant metastasis. For differentiation of HCC and CLD by an artificial network (ANN), the area under the ROC curve was 0.91 (95% confidence interval, 0.82–1.01; P <0.0005) for all cases and 0.954 (95% confidence interval, 0.881–1.027; P <0.0005) for cases with nondiagnostic serum AFP (<500 μg/L). At a specificity of 90%, the sensitivity was 92%. Both cluster analysis and ANN correctly classified the pooled serum samples, the CLD serum sample with increased AFP, and the HCC patient in complete remission. Conclusion: Tumor-specific proteomic signatures may be useful for detection and classification of hepatocellular cancers.

scholarly journals Serum Metabolomic Profiling of Patients with Non-Infectious Uveitis

2020 ◽  
Vol 9 (12) ◽  
pp. 3955
Author(s):  
Hiroyuki Shimizu ◽  
Yoshihiko Usui ◽  
Masaki Asakage ◽  
Naoya Nezu ◽  
Ryo Wakita ◽  
...  
Keyword(s):  
Metabolic Pathways ◽  
Operating Characteristic ◽  
The Other ◽  
Serum Samples ◽  
Logistic Regression Models ◽  
Minimal Invasiveness ◽  
Flight Mass Spectrometry ◽  
Metabolomic Profiling ◽  
Healthy Control ◽  
Infectious Uveitis

The activities of various metabolic pathways can influence the pathogeneses of autoimmune diseases, and intrinsic metabolites can potentially be used to diagnose diseases. However, the metabolomic analysis of patients with uveitis has not yet been conducted. Here, we profiled the serum metabolomes of patients with three major forms of uveitis (Behҫet’s disease (BD), sarcoidosis, and Vogt-Koyanagi-Harada disease (VKH)) to identify potential biomarkers. This study included 19 BD, 20 sarcoidosis, and 15 VKH patients alongside 16 healthy control subjects. The metabolite concentrations in their sera were quantified using liquid chromatography with time-of-flight mass spectrometry. The discriminative abilities of quantified metabolites were evaluated by four comparisons: control vs. three diseases, and each disease vs. the other two diseases (such as sarcoidosis vs. BD + VKH). Among 78 quantified metabolites, 24 kinds of metabolites showed significant differences in these comparisons. Four multiple logistic regression models were developed and validated. The area under the receiver operating characteristic (ROC) curve (AUC) in the model to discriminate disease groups from control was 0.72. The AUC of the other models to discriminate sarcoidosis, BD, and VKH from the other two diseases were 0.84, 0.83, and 0.73, respectively. This study provides potential diagnostic abilities of sarcoidosis, BD, and VKH using routinely available serum samples that can be collected with minimal invasiveness.

scholarly journals A rapid point-of-care assay accurately measures vitamin D

2021 ◽  
Author(s):  
K. Albrecht ◽  
J. Lotz ◽  
L. Frommer ◽  
K. J. Lackner ◽  
G. J. Kahaly
Keyword(s):  
Vitamin D ◽  
Metabolic Pathways ◽  
Point Of Care ◽  
Immunofluorescence Assay ◽  
Laboratory Method ◽  
Controlled Study ◽  
Mean Deviation ◽  
Serum Samples ◽  
Assay Validation ◽  
Accuracy And Precision

Abstract Purpose Vitamin D (VitD) is a pleiotropic hormone with effects on a multitude of systems and metabolic pathways. Consequently, the relevance of a sufficiently high VitD serum level becomes self-evident. Methods A rapid immunofluorescence assay designed for the point-of-care measurement of serum VitD3 solely was tested. Inter- and intra-assay validation, double testing and result comparison with a standardized laboratory method were performed. Results An overall linear correlation of r = 0.89 (Pearson, 95% CI 0.88–0.92, p < 0.01) between the point of care and the conventional reference assay was registered. Accuracy and precision were of special interest at cut-points (10 ng/ml [mean deviation 1.7 ng/ml, SD 1.98 ng/ml, SE 0.16 ng/ml], 12 ng/ml [MD 0.41, SD 1.89, SE 0.19] and 30 ng/ml [MD − 1.11, SD 3.89, SE 0.35]). Only a slight deviation was detected between the two assays when using fresh (r = 0.91, 95% CI 0.86–0.94, p < 0.01) and frozen serum samples (r = 0.86, 0.82–0.89, p < 0.01). Results remained steady when samples were frozen several times. Inter- and intra-assay validation according to the CLSI protocol as well as multiuser testing showed stable results. Conclusion This novel, innovative, and controlled study indicates that the evaluated rapid point of care VitD assay is reliable, accurate, and suited for clinical practice.

An application of Takagi–Sugeno fuzzy system to the classification of cancer patients based on elemental contents in serum samples

2006 ◽  
Vol 82 (1-2) ◽  
pp. 294-299 ◽  
Author(s):  
Zhuoyong Zhang ◽  
Hualan Zhou ◽  
Sidong Liu ◽  
Peter de B. Harrington
Keyword(s):  
Cancer Patients ◽  
Fuzzy System ◽  
Serum Samples ◽  
Elemental Contents ◽  
Takagi Sugeno

Machine-learning-based classification of real-time tissue elastography for hepatic fibrosis in patients with chronic hepatitis B

2017 ◽  
Vol 89 ◽  
pp. 18-23 ◽  
Author(s):  
Yang Chen ◽  
Yan Luo ◽  
Wei Huang ◽  
Die Hu ◽  
Rong-qin Zheng ◽  
...  
Keyword(s):  
Machine Learning ◽  
Chronic Hepatitis ◽  
Hepatitis B ◽  
Real Time ◽  
Chronic Hepatitis B ◽  
Hepatic Fibrosis ◽  
Tissue Elastography

scholarly journals Rapid Classification of Clostridioides difficile Strains Using MALDI-TOF MS Peak-Based Assay in Comparison with PCR-Ribotyping

2021 ◽  
Vol 9 (3) ◽  
pp. 661
Author(s):  
Adriana Calderaro ◽  
Mirko Buttrini ◽  
Monica Martinelli ◽  
Benedetta Farina ◽  
Tiziano Moro ◽  
...  
Keyword(s):  
Ionization Time ◽  
Maldi Tof Ms ◽  
Maldi Tof ◽  
Flight Mass Spectrometry ◽  
Clostridioides Difficile ◽  
Pcr Ribotyping ◽  
Typing Methods ◽  
Set Up ◽  
Tof Ms

Typing methods are needed for epidemiological tracking of new emerging and hypervirulent strains because of the growing incidence, severity and mortality of Clostridioides difficile infections (CDI). The aim of this study was the evaluation of a typing Matrix-Assisted Desorption/Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS (T-MALDI)) method for the rapid classification of the circulating C. difficile strains in comparison with polymerase chain reaction (PCR)-ribotyping results. Among 95 C. difficile strains, 10 ribotypes (PR1–PR10) were identified by PCR-ribotyping. In particular, 93.7% of the isolates (89/95) were grouped in five ribotypes (PR1–PR5). For T-MALDI, two classifying algorithm models (CAM) were tested: the first CAM involved all 10 ribotypes whereas the second one only the PR1–PR5 ribotypes. Better performance was obtained using the second CAM: recognition capability of 100%, cross-validation of 96.6% and agreement of 98.4% (60 correctly typed strains, limited to PR1–PR5 classification, out of 61 examined strains) with PCR-ribotyping results. T-MALDI seems to represent an alternative to PCR-ribotyping in terms of reproducibility, set up time and costs, as well as a useful tool in epidemiological investigation for the detection of C. difficile clusters (either among CAM included ribotypes or out-of-CAM ribotypes) involved in outbreaks.

Role of serum M2BPGi levels in diagnosing significant liver fibrosis and cirrhosis in patients with chronic hepatitis B

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Marcel William Keddeas ◽  
Hany Haroun Kaisar ◽  
Hagar Ahmed Ahmed Elessawy ◽  
Mariam Samir Abdel Hamid Elewa
Keyword(s):  
Chronic Hepatitis ◽  
Liver Fibrosis ◽  
Serum Level ◽  
Hepatitis B ◽  
Chronic Hepatitis B ◽  
Transient Elastography ◽  
Liver Stiffness ◽  
Protein Glycosylation ◽  
Control Group ◽  
Serum Samples

Abstract Background and aim Mac-2-binding protein glycosylation isomer (M2BPGi) is a novel serum diagnostic marker for liver fibrosis in various liver diseases. We aimed to evaluate its role in assessment of liver fibrosis in chronic hepatitis B infection (CHB) with reference to liver stiffness measurement (LSM) by transient elastography (Fibroscan). Design and Methods A case control study. 50 CHB patients with LSM by transient elastography technology and retrievable serum samples and 20 normal volunteers as a control group were recruited. Results 50 CHB patients (M: F = 30:20; mean age 43years ± 10.58) and 20 normal control volunteers (M: F = 12:8; mean age 37years ± 14.5) were recruited. The mean M2BPGi values for control group, F0-F1, F2, F3 and F4 progressively increased with more advanced stages of liver fibrosis: 0.282, 0.719, 1.322, 1.65 and 1.904 COI, respectively (p &lt; 0.001). M2BPGi levels correlated well with liver stiffness (r = 0.911) and moderately with FIB-4 (r = 0.682), and with APRI (r = 0.536) (all p &lt; 0.001). Using cut-off values of 0.455, 1.02, 1.16, 1.66 and 1.71COI for control, F0-F1, F2, F3 and F4 groups, respectively, the AUROCs were 0.996, 0.996, 0.691, 0.794 and 1.00 for control, F0-F1, F2, F3 and F4 groups, respectively. There was a statistically significant but with weak positive correlation between M2BPGi serum level and INR (r = 0.333, p = 0.018). And there was a statistically significant but with weak negative correlation between M2BPGi serum level and platelet count (r = -0.41, p = 0.003) and HBV DNA (r = -0.373, p = 0.008).There was a statistically significance between M2BPGi serum level and the history of varices (p = 0.023) Conclusions WFA+-M2BP is an accurate serum indicator for assessing different stages of liver fibrosis. WFA+-M2BP provides a simple and reliable alternative or complementary method to liver biopsy and FibroScan.

scholarly journals Analysis of soluble interleukin-2 receptor as CSF biomarker for neurosarcoidosis

2020 ◽  
Vol 7 (4) ◽  
pp. e725
Author(s):  
Carolin Otto ◽  
Oliver Wengert ◽  
Nadine Unterwalder ◽  
Christian Meisel ◽  
Klemens Ruprecht
Keyword(s):  
Disease Activity ◽  
White Cell Count ◽  
Interleukin 2 ◽  
Cns Lymphoma ◽  
Serum Samples ◽  
Neurologic Diseases ◽  
Interleukin 2 Receptor ◽  
Soluble Interleukin 2 Receptor ◽  
Clinical Mri

ObjectiveTo systematically analyze soluble interleukin-2 receptor (sIL-2R) in CSF as a diagnostic and disease activity biomarker in patients with sarcoidosis involving the CNS (neurosarcoidosis).MethodssIL-2R was determined by chemiluminescent immunoassays in CSF/serum samples from patients with neurosarcoidosis (n = 23), MS (n = 19), neurotuberculosis (n = 8), viral (n = 18) and bacterial (n = 9) meningitis, cerebral lymphoma (n = 15), Guillain-Barré syndrome (n = 8), and 115 patients with noninflammatory neurologic diseases (NINDs) as controls. The sIL-2R index was calculated by dividing the CSF/serum sIL-2R quotient (QsIL-2R) through the CSF/serum albumin quotient (QAlb). sIL-2R quotient diagrams were established by plotting QsIL-2R against QAlb. sIL-2R levels were correlated with clinical, MRI, and CSF disease activity markers of neurosarcoidosis.ResultsPatients with neurosarcoidosis had higher CSF sIL-2R, QsIL-2R, and sIL-2R index values than patients with NINDs (p < 0.0001 for all pairwise group comparisons). sIL-2R quotient diagrams demonstrated an intrathecal sIL-2R synthesis in >50% of neurosarcoidosis samples. Similar findings were observed in viral/bacterial meningitis, CNS lymphoma, and, most pronounced, in neurotuberculosis, but not in patients with MS. CSF sIL-2R parameters were associated with clinical disease activity, leptomeningeal gadolinium enhancement, and the CSF white cell count in patients with neurosarcoidosis.ConclusionsCSF sIL-2R parameters are elevated in patients with neurosarcoidosis, but this finding is not specific for neurosarcoidosis. Nevertheless, CSF sIL-2R parameters may help distinguishing neurosarcoidosis from MS and are associated with clinical, radiologic, and CSF disease activity markers of neurosarcoidosis.Classification of evidenceThis study provides Class II evidence that CSF sIL-2R parameters distinguish neurosarcoidosis from NINDs and MS.

scholarly journals Serum and cerebrospinal fluid host proteins indicate stroke in children with tuberculous meningitis

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250944
Author(s):  
Charles M. Manyelo ◽  
Novel N. Chegou ◽  
James A. Seddon ◽  
Candice I. Snyders ◽  
Hygon Mutavhatsindi ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Tuberculous Meningitis ◽  
Multiple Testing ◽  
Serum Proteins ◽  
Lipocalin 2 ◽  
Host Proteins ◽  
Serum Samples ◽  
Csf Proteins ◽  
Study Participants

Introduction Stroke is a common complication in children with tuberculous meningitis (TBM). Host proteins may give us insight into the mechanisms of stroke in TBM and serve as biomarkers for detection of stroke, however, they have not been widely explored. In this study, we compared the concentrations of cerebrospinal fluid (CSF) and serum proteins between children who had TBM-related stroke and children with TBM without stroke. Methods We collected CSF and serum from 47 children consecutively admitted to the Tygerberg Academic Hospital in Cape Town, South Africa between November 2016, and November 2017, on suspicion of having TBM. A multiplex platform was used to measure the concentrations of 69 host proteins in CSF and serum from all study participants. Results After classification of study participants, 23 (48.9%) out of the 47 study participants were diagnosed with TBM, of which 14 (60.9%) demonstrated radiological arterial ischemic infarction. The levels of lipocalin-2, sRAGE, IP-10/ CXCL10, sVCAM-1, MMP-1, and PDGF-AA in CSF samples and the levels of D-dimer, ADAMTS13, SAA, ferritin, MCP-1/ CCL2, GDF-15 and IL-13 in serum samples were statistically different between children who had TBM-related stroke and children with TBM without stroke. After correcting for multiple testing, only the levels of sVCAM-1, MMP-1, sRAGE, and IP-10/ CXCL10 in CSF were statistically different between the two groups. CSF and serum protein biosignatures indicated stroke in children diagnosed with TBM with up to 100% sensitivity and 88.9% specificity. Conclusion Serum and CSF proteins may serve as biomarkers for identifying individuals with stroke amongst children diagnosed with TBM at admission and may guide us to understand the biology of stroke in TBM. This was a pilot study, and thus further investigations in larger studies are needed.

scholarly journals GN1, Glucosamine Analog, attenuate the neuronal hyperactivity of c-fos gene in Adjuvant-Induced Arthritis in Rats

2021 ◽  
Author(s):  
Huma Jawed ◽  
Syed Uzair Ali Shah ◽  
Shahid I. Awan ◽  
Shazia Anjum ◽  
Shabana U. Simjee
Keyword(s):  
Nitric Oxide ◽  
Inflammatory Lesion ◽  
Suppressive Effect ◽  
Histopathological Analysis ◽  
Serum Samples ◽  
Adjuvant Induced Arthritis ◽  
Nitric Oxide Formation ◽  
Tnf Α ◽  
Pro Inflammatory Cytokines

ABSTRACTThe anti-inflammatory and anti-arthritic activity of GN1 (6-hydroxymethyl-3-(1-methylene-allylamino)-tetrahydro-pyran-2,4,5-triol), an analog of glucoseamine was investigated in the adjuvant induced arthritis (AIA) in rats. It was observed that the highly increased hind paw swelling was significantly reduced (p <0.001) with no noticeable retardation of body weight in the GN1 treated arthritic rats as compared to arthritic control rats. The histopathological analysis of isolated rat joints by scaling system classification of different stages appear in arthritic inflammatory lesion development, disclosed the suppressive effect in the inflammation processing in the GN1 treated animals. Different predictive markers such as TNF-α, nitric oxide IL-1β, peroxide and glutathione were also determined in the serum samples of the treated and non-treated arthritic rats in order to measure the intensity of inflammation. Our results show that GN-1 treatment in arthritic groups demonstrated marked reduction in c-fos expression. Results also revealed that GN1 significantly reduces the peroxide production (p < 0.002) and both the pro-inflammatory cytokines TNF-α (p < 0.015) and IL-1β (p < 0.001) in the arthritic rats receiving this treatment. Although, nitric oxide formation was found to be less than the arthritic control, but this reduction was not significant. The level of glutathione was significantly increased in GN1 treated arthritic rats (p < 0.037). These observations suggest that GN1 may help in reducing the inflammation and have anti-arthritic properties.

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