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Objective:To investigate the serum metabolites and their metabolic characteristics of patients with optic neuritis.Methods:Case-control study. From January 2021 to January 2022, 9 serum specimens of diagnosed patients with optic neuritis were collected in Department of Neurology from Beijing Tongren Hospital and 9 healthy subjects as the control. Among them, there were 5 females and 4 males in the optic neuritis group, aged (35.8±12.9) years; there were 5 females and 4 males in the healthy control group, aged (32.6±8.6) years. Liquid chromatography-mass spectrometry was used to detect metabolites in serum of healthy control and patients with optic neuritis. The principal component analysis (PCA) and orthogonal partial least-squares discriminination analysis (OPLS-DA) were used to analyze the differential metabolites . The variable importance projection value of OPLS-DA model and the P value of t-test was applied to find the different metabolites. Results:Thirty-seven metabolites were finally identified from serum samples. Four metabolites with variable important in projection (VIP) values larger than 1 and P values less than 0.05 were teased out, three metabolites, LysoPC (P-16∶0), LysoPC (16∶0), LysoPC (P-18∶0) belonge to phospholipid and one metabolite was L-Threonine, they were all down-regulated. The area under curve were 0.951, 0.889, 0.963 and 0.944, respectively. Conclusion:Based on metabonomic analysis, some metabolites in serum have changed, which can provide basis for biomarkers screening of optic neuritis.
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Objective:To provide consistent data basis for the application of reference intervals for children blood cell analysis in different testing systems.Methods:According to the requirements of American Institute for Clinical and Laboratory Standardization (CLSI) EP9-A3 document, 45 samples were collected and Sysmex XN20-A1 were used as reference system. Beckman DxH800, Siemens ADVIA 2120i, and Mindray BC5310 were comparison systems. Complete blood count and leukocyte classification were performed by four systems. The outliers of the detection results were tested by the generalized extreme student deviate (ESD) method. An optimal regression model was selected by scatter diagram, deviation diagram and frequency distribution diagram, which was used to fit the regression equation and calculate the deviation at the medical decision level and reference interval. The acceptable range for blood count deviation was cited from the Analytical Quality Specifications for Routine Tests in Clinical Hematology. The acceptable range for leukocyte classification was based on the EQA program of Royal College of Pathologists of Australasia (RCPA).Results:After the outliers were deleted, the scatter plot showed a linear relationship between the reference system and the three comparison systems. The deviation plot showed that the differences were variable. Deming regression or Passing-Bablok regression was selected according to the data distribution. The determination coefficient R2 of reference system and three comparison systems ranged from 0.95 to 0.99 in blood count and leukocyte classification. At the upper and lower limits of the reference interval, the deviations between XN-20A1 and ADVIA 2120 system were all acceptable, except for MONO# at 0.12×10 9/L. The deviations of all parameters at medical decision level were within acceptable ranges. The lower limit of PLT is partially unacceptable at the level of medical decision related to treatment and prognosis. Conclusions:The results of complete blood count and leukocyte classification in reference system and the comparison system had good consistency within the children′s reference interval. Our study provided a scientific basis for the feasibility of adopting a unified reference interval for different detection systems.
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Objective:To explore the expression of long-chain noncoding RNA (lncRNA) and myocardial infarction-associated transcription (MIAT) in Leukocyte differentiation antigen (CD)4+T cells in peripheral blood of gastric cancer patients and its value of clinical application.Methods:Peripheral blood CD4+T cells were collected from 124 patients with gastric cancer, 90 benign gastric diseases patients and 80 healthy controls enrolled in Taizhou People′s Hospital from January 2019 to April 2021. The expression levels of MIAT and N6-methyladenosine(m6A) binding to MIAT promoter in CD4+T cells were detected by real-time fluorescent quantitative polymerase chain reaction (qPCR) and Chromatin immunoprecipitation (ChIP)-qPCR, respectively. Spearman test was used to analyze the correlation between MIAT and clinicopathological features, as well as between MIAT and regulatory T cell levels. The receivor operating characteristic curve (ROC) of the subjects was used to evaluate the MIAT expression level in the auxiliary diagnostic value of gastric cancer.Results:The relative expression levels of MIAT in the gastric cancer patients, the benign gastric diseases patients, and the healthy controls were 2.849 (2.131, 4.062), 1.511 (0.916, 1.855) and 0.963 (0.729, 1.432), respectively. The difference among the three groups was statistically significant ( H=158.25, P<0.001). The relative expression level of MIAT in the gastric cancer patients was significantly higher than the levels in the benign gastric diseases patients and healthy controls. The difference was statistically significant ( Z=100.63, 145.14, P<0.001). The binding activity of m6A to MIAT promoter in patients with early stage (stage Ⅰ and Ⅱ) and end stage (stage Ⅲ and Ⅳ) gastric cancer was 8.590±1.483 and 4.274±0.425, respectively. The difference was statistically significant ( t=6.255, P=0.002). Furthermore, the binding activity of m6A to MIAT promoter in the gastric cancer patients was significantly lower than that in patients with benign gastric diseases (17.267±3.106) and healthy controls (27.637±3.945) ( t=-7.331,-12.832, P<0.001). The relative expression of MIAT in CD4+T cells in peripheral blood of the gastric cancer patients had no significant difference in age(χ2=0.000, P=1.000), gender(χ2=0.000, P=1.000), CEA (χ2=0.648, P=0.421) and CA199(χ2=1.554, P=0.213), but had significant difference with tumor size expression(χ2=9.443, P<0.01), TNM stage(χ2=23.571, P=0.002) and lymph node metastasis (χ2=45.248, P<0.01). In addition, there was a significant positive correlation between the relative expression of MIAT in CD4+T cells and Treg level ( r2=0.76, P<0.001). The diagnostic efficacies of MIAT in CD4+T cells, CEA and CA199 in the gastric cancer patients were analyzed by ROC curve. When compared with patients with benign gastric diseases, the areas under the curve were 0.879, 0.635 and 0.611, respectively. When compared with healthy patients, the areas under the curve were 0.953, 0.784 and 0.598, respectively. Conclusions:The level of MIAT in CD4+T cells in peripheral blood of patients with gastric cancer is significantly higher than the levels in patients with benign gastric diseases and the healthy controls, which may be related with the decreased activity of m6A binding to the promoter of MIAT. The level of MIAT in CD4+T cells may be a relevant biomarker for the diagnosis and prognosis of gastric cancer.
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Aldosterone is a steroid hormone that acts on the kidneys to maintain the balance of sodium and water. Primary hyperaldosteronism (PA) is the most common disease that causes secretory hypertension. PA is often unrecognized and is associated with a high death rate. The aldosterone/rein rate (ARR) and detection of serum or urinary aldosterone are the most effective method to screen and identify PA. In healthy individuals, aldosterone concentration is present in low quantities in serum and there are numerous compounds that can potentially interfere with analysis making aldosterone a technically challenging analyte quantifying method. At present, the method of aldosterone detection includes radioimmunoassay, enzyme-linked immunosorbent assay, chemiluminescence method and mass spectrometry. These methods have their own advantages and disadvantages, the ARR ratios of different detection methods for the diagnosis of PA are not completely consistent. In this paper, the detection methods and clinical applications of aldosterone are reviewed.
ABSTRACT
Aldosterone is a steroid hormone that acts on the kidneys to maintain the balance of sodium and water. Primary hyperaldosteronism (PA) is the most common disease that causes secretory hypertension. PA is often unrecognized and is associated with a high death rate. The aldosterone/rein rate (ARR) and detection of serum or urinary aldosterone are the most effective method to screen and identify PA. In healthy individuals, aldosterone concentration is present in low quantities in serum and there are numerous compounds that can potentially interfere with analysis making aldosterone a technically challenging analyte quantifying method. At present, the method of aldosterone detection includes radioimmunoassay, enzyme-linked immunosorbent assay, chemiluminescence method and mass spectrometry. These methods have their own advantages and disadvantages, the ARR ratios of different detection methods for the diagnosis of PA are not completely consistent. In this paper, the detection methods and clinical applications of aldosterone are reviewed.
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Objective To explore the value of three-dimensional DSA (3D-DSA) in displaying the location of the origin of uterine artery.Methods A total of 90 female patients underwent uterine artery (UA) embolization were enrolled.The bilateral internal iliac artery catheterization were performed by 3D-DSA,then the images were reconstructed in every 5 degree interval to choose the optimum range of viewing angle.The origination and the degree of the origin artery and UA were calculated.The distance between the origin of UA and superior glutea artery which was identified as the locating point was measured.Results Bilateral and contralateral oblique position of >30°-60°were the optimal projection positions of UA.Totally 64.44% (116/180) of UA originated from the anterior trunk of internal iliac artery,18.33% (33/180) originated from the inferior gluteal trunk,9.44 % (17 / 180) originated from the internal pundenal artery,5.56 % (10 / 180) originated from internal iliac artery,and 2.22% (4/180) originated from the superior gluteal artery;10.56% (19/180) of the angle of the origin artery and UA were 0-30°,38.89% (70/180) were >30°-60°,41.11% (74/180) were >60°-90°,4.44% (8/180) were>90°-120°,2.78% (5/180) were>120°-150°,2.22% (4/180) were>150°-180°.Distance between the origin of UA and superior gluteal artery was 3.04-18.31 mm,average was (11.71±4.28)mm.Conclusion 3D-DSA can clearly display the origination,viewing angle and the distance away from superior gluteal artery.