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Objective:To study the non-target metabolomics analysis and to analyze the metabolomic changesof cerebrospinal fluid (CSF) in patients with tuberculous meningitis.Methods:Case-control study. From July 2018 to July 2019, 20 cerebrospinal fluid specimens of diagnosed patients with tuberculous meningitis were collectedin the department of neurology from the first medical center of the PLA general hospital and the eighth medical center of the PLA general hospital and 20 CSF without tuberculous meningitis as the control. Among them, there were 12 males and 8 femalesin the tuberculous meningitis group, aged (37.9±16.1) years; there were 13 males and 7 femalesin the control group, aged (34.7±14.8) years. Using ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS) technology with three different mode, namely reverse phase chromatography positive ion mode, reverse phase chromatography negative ion mode and hydrophilic chromatography positive ion mode,to detectthe metabolic fingerprints of patients′CSF and analyzed by SIMCA software for orthogonal partial least squares discriminant analysis (OPLS-DA). The variable importance projection value of OPLS-DA model (threshold value>1) plus the P value of t-test (P<0.05) was applied to find the differential metabolites in the cerebrospinal fluid of the two groups of patients.Results:Ten differential metabolites were found in CSF, including L-isoleucine, L-phenylalanine, L-kynurenine, L-methionine, L-tyrosine acid, dimethylglycine, L-alanine, L-threonine, L-histidine and L-lysine, and all of them were up-regulated in the tuberculous meningitis group.Conclusion:Changesof the amino acid metabolism found in the cerebrospinal fluid of tuberculous meningitis patients can provide basis for differential diagnosis and basic molecular research of tuberculous meningitis.
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Objective Toinvestigatestatistically significant peptide peaks as biomarkersto diagnose osteoarticular tuberculosis, matrix-assisted laser desorption/ ionization time of flight mass spectrometry (MALDI-TOF MS) was applied to identify the characteristic fingerprint among the serum of patients with osteoarticular tuberculosis, rheumatoid arthritis and healthy adults.Methods Clinical Study. Serum samples of untreatedpatients with osteoarticular tuberculosis and rheumatoid arthritis were collected from August 2018 to December 2018, and serum samples of healthy adults from physical examination were collected as control. After analysis with MALDI-TOF MS, the serum peptide fingerprint datawas imported into software, and protein polypeptide peaks with obvious differences were screened to establish diagnostic models.Results Established the diagnostic model of osteoarticular tuberculosis and healthy adults with m/z 2943.9, 5929.6, 7615.4 and 9033.8 as differential protein polypeptides, the diagnostic model of osteoarticular tuberculosis and rheumatoid arthritis with m/z 4195.6, 5847.6, 5929.6 and 7748.6 as differential protein polypeptides. To these two models, the sensitivity were 95.00％ and 97.50％, respectively. The specificity were 85.71％ and 88.46％, respectively. The accuracy rates were 89.58％ and 92.39％, respectively. The AUC value of ROC curves were 0.8859 and 0.8709, respectively. Conclusions By mass spectrometry and software analysis, the serum protein polypeptides with statistical difference were found successfully. The related diagnostic modelsarealso established, which has certain reference value for auxiliary diagnosis of osteoarticular tuberculosis.
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Objective To examine the predictive value of serum soluble E-selectin ( sE-selectin) levels for high risk plaques as detected by coronary computed tomography angiography ( CCTA).Methods This was a cross-sectional study.CCTA was performed for each patient.Serum levels of sE-Selectin, sVCAM-1,sICAM-1 and sP-Selectin were measured by flow fluorescence immunomicrobead assay ( FFIA). ROC curve and multivariate analysis were used to determine the predictive value for the presence of high risk plaques.Results The high risk plaques group showed higher sICAM-1 and sE-selectin levels.The multivariate Logistic analysis showed that male (OR＝2.131, P＝0.019), old age (OR＝1.053, P＝0.002), hyperlipidemia (OR＝1.960, P＝0.022), high level of apoB (OR＝2.896, P＝0.004) and high level of sE-Selectin(OR＝1.975, P＝0.008) were independently associated with the presence of high risk plaques.The AUC of the multivariate model for high risk plaques was 0.722.The sensitivity, specificity, the positive predictive value and the negative predictive value were 55.3%, 78.3%, 71.8% and 64.4%respectively.Conclusions High sE-selectin levels were associated with the presence of high risk plaques in asymptomatic populations at low to intermediate Framingham risk .sE-selectin can play an important role in plaque screening, as detected by coronary CTA.
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Objective To investigate the value of combinedevaluation of serum lipoprotein associated phospholipase A2 (LP-PLA2) and cystatin C (CysC) on systemic lupus erythematosus (SLE) patients with lupus erythematosus.Methods A total of 177 patients with SLE were enrolled in the General Hospital of People's Liberation Army from June 2000 to February 2017,87 cases in lupus group (SLE group),90 cases in lupus nephritis group (LN group),60 cases in healthy control group.The concentration of LP-PLA2 and CysC were measured.The ROC curves was established for estimation of the cutoff values of two indexes in SLE patients with LN,and the diagnostic efficacy of different diagnostic criteria was compared.Results The LP-PLA2 and CysC concentration in the LN group were higher than those in the SLE group (Z=-2.512,-5.688,all P＜0.05).The cutoff value of LP-PLA2 was 245.5 U/L and the cutoff value of CysC was 1.235 mg/L on the risk assessment of in SLE patients with LN.When using the parallel method for combined LP-PLA2 and CysC to evaluate the risk of LN,the sensitivity and negative predictive value would be significantly improved (x2 =9.461,4.377,all P＜ 0.05),the efficiency was better.Conclusion Parallel assessment of serum LP-PLA2 and CysC have clinical value on assessment of the risk of LN in SLE patients.
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0 05), there had slight interference to low value serum and had no interference to high value serum by 125 mg/L Vitamin C, the correlation of UIBC reagent kit from different manufacturer was excellent( r = 0 994 4, n = 198) UIBC of serum samples from100 health blood donors (19 years old to 52 years old) were determined with UIBC reagent kit, and the reference result is 26 0-51 0 ?mol/L( ? 2 s ) Conclusion The UIBC result determined by this method is exact and reliable The UIBC reagent kit is easy to operate and ready for automated analyzer Then UIBC assay is worth to popularize