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Objective:To analyze the changes of serum lipidomics in patients with sepsis and healthy controls, search for the differences of lipid metabolites, and reveal the changes of lipidomics in the process of sepsis.Methods:A prospective observational study was conducted. From September 2019 to April 2020, morning blood samples of upper extremity superficial veins were collected from 30 patients with definite sepsis diagnosed in intensive care unit (ICU) of Shanxi Bethune Hospital and 30 age-matched healthy subjects during the same period. Serum lipid metabolites were analyzed by ultra-high performance liquid chromatography-mass spectrometry/mass spectrometry (UPLC-MS/MS), and the quality control samples were analyzed by base peak spectroscopy (BPC) and verified experimental repetition. Student t-test and fold change (FC) were used for screening significant differences in lipid metabolites and determining their expression changes. Principal component analysis (PCA) and orthogonal projectionto latent structure discriminant analysis (OPLS-DA) were used to determine the entire allocation of experimental groups apiece, access the quality of being near to the true value of model, and screen the differential lipid metabolites with variable importance of projection (VIP). Finally, Metabo Analyst platform database was used to analyze lipid molecular metabolic pathways. Results:BPC results showed that the experimental repeatability was good and the experimental data was reliable. The main parameter model interpretation rate of PCA model R 2X = 0.511, indicating that the model was reliable. The main parameter model interpretation rate of OPLS-DA model R 2Y = 0.954, Q 2 = 0.913, indicating that the model was stable and reliable. With FC > 2.0 or FC < 0.5, P < 0.05, a total of 72 differential lipid metabolites were obtained based on VIP > 1. Based on Metabo Analyst 5.0, 24 distinguishable lipid metabolites were identified including 8 phosphatidylethanolamine (PE), 7 lysophosphatidylcholine (LPC), 6 phosphatidylcholine (PC), 2 lysophosphatidylethanolamine (LPE) and 1 phosphatidylserine (PS). Compared with healthy volunteers, the lipid molecules expression proved down-regulated in most sepsis patients, including PC, LPC, LPE, and some PE, while some PE and PS were up-regulated, which was mainly related to the PE (18∶0p/20∶4), PC (16∶0/16∶0) and LPC (18∶1) metabolic pathways in glycerophospholipids. Conclusions:There are significant differences in lipid metabolites between the sera of sepsis patients and healthy volunteers. PE (18∶0p/20∶4), PC (16∶0/16∶0) and LPC (18∶1) may be new targets for sepsis prediction and intervention.
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Objective:To screen lipid biomarker in sepsis patients with different survival outcome based on ultra high performance liquid chromatography-mass spectrometry(UHPLC-MS/MS) technique.Methods:From September 2019 to April 2020, 30 septic patients admitted in Department of Intensive Care Unit and 30 cases of physical examination at the same time in Shanxi Bethune Hospital were studied. Lipid metabolite in serum were detected by UHPLC-MS/MS technique. According to the 28 day survival outcome of sepsis patients, they were divided into survival group (21 cases) and death group (9 cases). The baseline data of case group and control group, survival group and death group were compared respectively. Independent sample t-test and orthogonal partial least squares discriminant analysis (OPLS-DA) were further performed to identify lipid biomarkers related to sepsis survival outcome. Receiver operating characteristic (ROC) curve to evaluate the predictive efficacy of differential lipids on the survival outcome of biomarker sepsis patients. Results:There were 32 lipid subclasses and 1 437 differential lipid molecules in the sepsis group compared with the control group. 196 differential lipid molecules in the sepsis survival group and the death group were screened according to the OPLS-DA model (variable weight of projection (VIP)>1), which were glycerophosphingolipids (129), sphingolipids (52), glycerides (14), and sterols (1).All the original data were statistically analyzed by univariate independent sample t-test. There were statistically significant differences in 15 lipid molecules between the two groups. Combined with VIP > 1 and P < 0.01, three lipid molecules were finally screened, which were sphingomyelin (SM) lipid molecules, SM (d30∶1), SM (d32∶2), SM (d32∶1). ROC curve analysis showed that the areas under curves of the above three lipid molecular were 0.915, 0.892, 0.898, respectively. The sensitivity was 77.27%, 95.45%,72.73%. The specificity was 100.0%, 87.5%,100.0%. Further Z-test showed that there was no significant difference in the area under the ROC curve ( Z(SM (d30∶1) and SM (d32∶1)) =0.36, P=0.722; Z(SM (d30∶1) and SM (d32∶2))=0.34, P=0.732; Z(SM (d32∶1) and SM (d32∶1))=0.07, P=0.942). Conclusions:Sphingomyelin may be involved in the formation of different clinical outcomes of sepsis, and has a good predictive effect on the survival outcome of sepsis.
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Objective To explore the correlation between platelet function and immunity index in patients with sepsis. Methods The platelet function and immune indexes of one hundred and one patients with sepsis treated in Shanxi Dayi Hospital from July 1st, 2016 to October 31st, 2017 were analyzed retrospectively. According to their shock,they were divided into shock group (34 cases) and non shock group (67 cases). Another 50 healthy people in the same period in our hospital were selected as control group. The relationship between platelet function and immune indexes was compared. Results ( 1) the incidence of maximum blood block intensity decreased in the thrombus map of the septic shock group was higher than that in the non shock group, and the difference was statistically significant ( 65. 67%( 44/67 ) vs. 23. 53%(8/34),χ2＝41. 28,P＜0. 05); (2) the CD4+T lymphocyte and C3 in the septic shock group were all lower than those in the non shock group ((47. 28%±7. 78) vs. (54. 93%±11. 26),t＝3. 554,P＜0. 05; (0. 42 ±0. 23) g/L vs. (0. 75±0. 19) g/L,t＝－3. 057,P＜0. 05),the ratio of CD4+/CD8+T lymphocyte was higher than that in non shock group ((2. 68±0. 18) vs. (2. 45±0. 07),t＝7. 18,P＜0. 001)). (3) the maximum intensity of blood clots was correlated with the percentage of CD4+T lymphocyte,CD4+/CD8+T lymphocyte ratio,complement C3,acute physiology and chronic health status score system II score,and sequential organ failure score ( r ＝ 0. 617, 0. 411, 0. 563,－ 0. 631,－ 0. 547, P＜ 0. 01, or P＜ 0. 05 ) . Conclusion Thrombocytopenia is present in septic patients,which is correlated with changes in immune indices.
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Objective:To investigate the expression of p27kip1,skp2 and p53 in colorectal carcinoma. Methods:The expression of p27kip1,skp2,p53 gene mRNA and protein in the progression of colorectal adenocarcinoma were investigated by reverse transcription polymerase chain reaction(RT-PCR) and immunohistochemistry. Results:The mRNA expression of p27kip1 and p53 in colorectal adenocarcinoma were lower than that in normal colon tissue(P
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In the process of pathology teaching,the teacher can apply various methodologies and techniques to form student-oriented situation,to raise their interest in this discipline,to have the students actively involved in this learning process.In this way,the students become the subjects of the class so that the quality of pathology teaching can be improved.
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Various teaching methods can be applied comprehensively to the teaching of oral histopathology. The authors make a probe into the function and significance of flexible introduction of such means as enlightened approach to teaching,metaphorical teaching method,multimedia teaching method. The paper insists that these methods will bring many benefits in that they will help to promote students’autonomous learning,stimulate their thinking,cultivate their competence for observation and analysis,broaden their vision,and consequently improve the teaching quality.