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OBJECTIVE@#To explore the risk factors of acute respiratory distress syndrome (ARDS) in patients with sepsis and to construct a risk nomogram model.@*METHODS@#The clinical data of 234 sepsis patients admitted to the intensive care unit (ICU) of Tianjin Hospital from January 2019 to May 2022 were retrospectively analyzed. The patients were divided into non-ARDS group (156 cases) and ARDS group (78 cases) according to the presence or absence of ARDS. The gender, age, hypertension, diabetes, coronary heart disease, smoking history, history of alcoholism, temperature, respiratory rate (RR), mean arterial pressure (MAP), pulmonary infection, white blood cell count (WBC), hemoglobin (Hb), platelet count (PLT), prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (FIB), D-dimer, oxygenation index (PaO2/FiO2), lactic acid (Lac), procalcitonin (PCT), brain natriuretic peptide (BNP), albumin (ALB), blood urea nitrogen (BUN), serum creatinine (SCr), acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA) were compared between the two groups. Univariate and multivariate Logistic regression were used to analyze the risk factors of sepsis related ARDS. Based on the screened independent risk factors, a nomogram prediction model was constructed, and Bootstrap method was used for internal verification. The receiver operator characteristic curve (ROC curve) was drawn, and the area under the ROC curve (AUC) was calculated to verify the prediction and accuracy of the model.@*RESULTS@#There were no significant differences in gender, age, hypertension, diabetes, coronary heart disease, smoking history, alcoholism history, temperature, WBC, Hb, PLT, PT, APTT, FIB, PCT, BNP and SCr between the two groups. There were significant differences in RR, MAP, pulmonary infection, D-dimer, PaO2/FiO2, Lac, ALB, BUN, APACHE II score and SOFA score (all P < 0.05). Multivariate Logistic regression analysis showed that increased RR, low MAP, pulmonary infection, high Lac and high APACHE II score were independent risk factors for sepsis related ARDS [RR: odds ratio (OR) = 1.167, 95% confidence interval (95%CI) was 1.019-1.336; MAP: OR = 0.962, 95%CI was 0.932-0.994; pulmonary infection: OR = 0.428, 95%CI was 0.189-0.966; Lac: OR = 1.684, 95%CI was 1.036-2.735; APACHE II score: OR = 1.577, 95%CI was 1.202-2.067; all P < 0.05]. Based on the above independent risk factors, a risk nomograph model was established to predict sepsis related ARDS (accuracy was 81.62%, sensitivity was 66.67%, specificity was 89.10%). The predicted values were basically consistent with the measured values, and the AUC was 0.866 (95%CI was 0.819-0.914).@*CONCLUSIONS@#Increased RR, low MAP, pulmonary infection, high Lac and high APACHE II score are independent risk factors for sepsis related ARDS. Establishment of a risk nomograph model based on these factors may guide to predict the risk of ARDS in sepsis patients.
Subject(s)
Humans , Retrospective Studies , Alcoholism , Prognosis , Respiratory Distress Syndrome, Newborn , Pneumonia , Sepsis , Intensive Care Units , Procalcitonin , Fibrinogen , ROC CurveABSTRACT
Objective To investigate the quantity and function of CD8+T cells in peripheral blood of pa-tients with repeated implantation failure(RIF).Methods Thirty-seven patients with RIF and 19 healthy controls were enrolled in this study.The peripheral blood and endometrium were collected during the mid-luteal phase.The percentage of peripheral CD8+T subsets and the levels of perforin and granzyme B of peripheral CD8+T cells were determined by flow cytometry assay.The percentage of endometrial CD8+T cells was detected by IHC,the produc-tion of perforin and granzyme B of endometrial CD8+T cells was detected by IF. Results Compared with the con-trol group,the percentage of peripheral CD8+T cells in patients with RIF was not significantly changed(37.22% vs. 37.15%,P>0.05).However,the porportion of endometrial CD8+T cells in the RIF group was higher than that in the control group(1.99% vs.3.77%,P<0.001).The levels of perforin and granzyme B in peripheral blood and en-dometrial CD8+T cells in patients with RIF were similar with those in the control group.Conclusions Compared to the control group,the percentage of endometrial CD8+T was markedly upregulated in patients with RIF.However, the production of perforin and granzyme B were similar between the control group and the RIF group.
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Objective To clone and express Dengue virus nonstructural protein 4A (NS4A) gene and express in eukaryotic cells.Then,to isolate and purify and isolate cellular proteins interacted with NS4A.Methods With specific primers,NS4A gene fragment tagged with FLAG and HA (FLAG-NS4A-HA) was amplified by PCR and cloned into an expression vector,pSG5 vector.Recombinant plasmid was transfected into A549 cells by LipofectAMINETM2000.Transient expression of FLAG-NS4A-HA was detected by Western blot.The NS4A interacting proteins were isolated and purified by tandem affinity purification (TAP) system using HA and FLAG antibodies,and then assayed by silver stained SDS-PAGE.Results Dengue virus NS4A gene tagged with FLAG and HA was successfully constructed into pSG5 vector and expressed in A.549 cells.Silver stained SDS-PAGE showed that the expressed NS4A and two potential interacting proteins that interact with NS4A were isolated after TAP purification and SDS-PAGE.Conclusion Cellular proteins that potentially interacted with Dengue virus NS4A were successfully purified and isolated,which provided a basis for further research.
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Objective To establish a tandem affinity purification(TAP) system of innate immune-regulatory protein PKR and analyze PKR function, for the future screen and identification of novel PKR-interaction proteins. Methods PKR gene was amplified by PCR, and then cloned into a mammalian expression vector pcTAP-A. Recombinant pcTAP-PKR was transfected into PKR knock-down(PKRkd) HeLa cells by LipofectAMINE 2000,and the PKR overexpressed HeLa cells were harvested for mitogen-activated protein kinases(MAPK) activation analysis. Cell extracts of PKR overexpressed cells were purified using TAP kit and examined by Western blot. Results Cal modulin resin(CBP) and streptavidin resin(SBP) tagged PKR was detected in PKRkd HeLa cells as early as 24 h upon transfection with pcTAP-PKR, and its expression decreased at later time points. The overexpression of PKR was autophosphorylated, and thus involved in the regulation of MAPK actviation. After small-scale TAP kit purification, PKR protein was detectable by Western blot. Conclusion We have successfully established a TAP system that over-expresses functional PKR, providing a useful tool for the future study on the identification of PKR interacting proteins.