Objective:To investigate the influence of prealbumin on cerebral infarction severity, hemorrhage transformation and 1-year prognosis.Methods:A retrospective study was conducted to select 752 patients with cerebral infarction who were treated in Beijing Tiantan Hospital,Capital Medical University from December 2018 to December 2019 as the study objects. Personal information and laboratory indicators of the patients were collected including prealbumin, hemoglobin, white blood cell count, etc.Patients were divided into group B1 (<238 mg/L) and group B2 (≥238 mg/L) based on median prealbumin. By inquiry patient's case, NIHSS score (<16 was classified as mild, ≥16 as moderate and severe)and cerebral infarction volume (<20 cm 3 as small infarct, >20 cm 3 as large infarct) were recorded to evaluate the severity of the disease, and whether hemorrhage transformation occurred during hospitalization was recorded. Patients were followed up 1 year after discharge, and prognostic information of patients was recorded, including neurological function recovery (mRS score <3 was classified as good recovery, ≥3 as poor recovery),all-cause case fatality rate, and recurrence of cardio-cerebrovascular events. Normally distributed measurement data were expressed as xˉ±s, non-normally distributed measurement data were expressed as median and quartiles[ M( Q1, Q3)], categorical variable were expressed as ratio and percent(%). Comparison between groups of measurement data were performed by independent sample t test and Mann-Whitney U test. Chi-square test were used on comparison between groups of categorical variable. Single-factor comparison, Spearman correlation analysis and multiple Logistic regression were used to analyze the correlation between prealbumin and other laboratory indicators, cerebral infarction severity, hemorrhage transformation and 1-year prognosis, respectively. Results:The NIHSS score and infarct volume of patients in group B1 were 5(2,10) and 3.18(0.72,18.00) cm 3, and those in group B2 were 3(2,7) and 2.0(0.5,10.0) cm 3, respectively, which were higher in group B1 than in group B2, the differences were statistically significant ( Z=3.85, P<0.001, Z=2.81, P=0.005). The proportion of mRS Score ≥3 in group B1 was 28.8%(107/371), and the all-cause case fatality rate was 7.5%(28/371), both higher than 20.5%(78/381) and 3.1%(12/381) in group B2, with statistical significance ( χ2=7.10, P=0.008, χ2=7.22, P=0.007). Hemorrhage transformation and recurrence of cardio-cerebrovascular events were 13.5%(50/371) and 11.6%(43/371) in group B1 and 9.2% (35/381) and 8.7%(33/381) in group B2, respectively, with no significant difference between the two groups ( χ2=3.45, P=0.063, χ2=1.78, P=0.183). Multivariate logistic regression analysis showed that, after adjusted for potential confounding factors, prealbumin was protective factor of NIHSS ( OR and 95% CI: 0.990(0.984-0.997), P=0.035), poor neurological recovery(mRS≥3) ( OR and 95% CI:0.992(0.988-0.997), P<0.001) and all-cause case fatality rate ( OR and 95% CI:0.991(0.983-0.999), while prealbumin had no significant influence on cardiocerebrovascular recurrence events ( OR and 95% CI: 0.999(0.993-1.005), P=0.729). Conclusion:Prealbumin is significantly associated with the severity of cerebral infarction and poor prognosis 1 year after discharge, and low prealbumin was an independent risk factor for NIHSS score(≥16), poor neurological recovery (mRS≥3) and all-cause case fatality rate.

Objectives:To explore the effects of infarct volume, infarct type, inflammation, and coagulation indicators on hemorrhagic transformation in patients with acute cerebral infarction.Methods:711 patients with cerebral infarction admitted to Beijing Tiantan Hospital were retrospectively included as the study objects from December 2018 to December 2019 [535 males and 176 females, age 22-95 years, mean age (59.6±12.1) years]. Clinical data, laboratory indicators such as inflammation and coagulation function of patients were collected, and information such as location, volume and type of infarction were recorded. The patients were divided into hemorrhage transformation group and non-hemorrhage transformation group according to whether hemorrhage transformation occurred during hospitalization. Normally distributed measurement data were expressed as xˉ± s, non-normally distributed measurement data were expressed as median and quartiles [ M( Q1, Q3)], categorical variable were expressed as ratio and percent (%). Comparison between groups of measurement data were performed by independent sample t test and Mann-Whitney U test. χ2 test were used on comparison between groups of categorical variable. Univariate comparison and multivariate Logistic regression were used to analyze the correlation between hemorrhage transformation and infarct volume, infarction type and laboratory indicators, respectively, to explore the risk factors of hemorrhage transformation. ROC curve analysis was used to evaluate the diagnostic value of indicators. Results:The rates of coronary heart disease and atrial fibrillation history in the hemorrhage transformation group were 23.5% (20/85) and 22.4% (19/85), respectively, which were significantly higher than those in the non-hemorrhage transformation group (13.9% (87/626) and 5.8% (36/626), respectively), and the difference between the two groups was statistically significant ( χ2=5.43, χ2=28.90, P=0.020, P<0.001, respectively). The NIHSS score [10(4,17) points] and infarct volume [46.50 (14.21,118.42) mL] in the hemorrhage transformation group were significantly higher than those in the non-hemorrhage transformation group [4(2,7) points, 2.00(0.51,8.94) mL]. The difference between the two groups was statistically significant ( Z values were 6.69 and 10.69, respectively, P<0.001). The results of multivariate Logistic regression analysis showed that atrial fibrillation (OR=2.604, 95% CI: 1.186-5.716, P=0.107), infarct volume (OR=1.009, 95% CI: 1.004-1.015, P=0.001), infarct type of Chinese ischemic stroke subclassfication (OR=1.371, 95% CI: 1.085-1.731, P=0.008) and neutrophil/lymphocyte ratio (OR=1.047, 95% CI: 1.006-1.090, P=0.023) were independent risk factors for hemorrhage transformation. ROC curve analysis showed that the area under curve (AUC) of infarct volume and neutrophil/lymphocyte ratio were 0.861 (0.821-0.901) and 0.684 (0.626-0.741), respectively, which were effective in predicting hemorrhage transformation after cerebral infarction. The prediction of infarct volume was more efficient. Conclusion:History of atrial fibrillation, classification of cardioembolic stroke, infarct volume, and neutrophil/lymphocyte ratio are all risk factors for hemorrhagic transformation after acute cerebral infarction.

Objective:To investigate the influence of prealbumin on cerebral infarction severity, hemorrhage transformation and 1-year prognosis.Methods:A retrospective study was conducted to select 752 patients with cerebral infarction who were treated in Beijing Tiantan Hospital,Capital Medical University from December 2018 to December 2019 as the study objects. Personal information and laboratory indicators of the patients were collected including prealbumin, hemoglobin, white blood cell count, etc.Patients were divided into group B1 (<238 mg/L) and group B2 (≥238 mg/L) based on median prealbumin. By inquiry patient's case, NIHSS score (<16 was classified as mild, ≥16 as moderate and severe)and cerebral infarction volume (<20 cm 3 as small infarct, >20 cm 3 as large infarct) were recorded to evaluate the severity of the disease, and whether hemorrhage transformation occurred during hospitalization was recorded. Patients were followed up 1 year after discharge, and prognostic information of patients was recorded, including neurological function recovery (mRS score <3 was classified as good recovery, ≥3 as poor recovery),all-cause case fatality rate, and recurrence of cardio-cerebrovascular events. Normally distributed measurement data were expressed as xˉ±s, non-normally distributed measurement data were expressed as median and quartiles[ M( Q1, Q3)], categorical variable were expressed as ratio and percent(%). Comparison between groups of measurement data were performed by independent sample t test and Mann-Whitney U test. Chi-square test were used on comparison between groups of categorical variable. Single-factor comparison, Spearman correlation analysis and multiple Logistic regression were used to analyze the correlation between prealbumin and other laboratory indicators, cerebral infarction severity, hemorrhage transformation and 1-year prognosis, respectively. Results:The NIHSS score and infarct volume of patients in group B1 were 5(2,10) and 3.18(0.72,18.00) cm 3, and those in group B2 were 3(2,7) and 2.0(0.5,10.0) cm 3, respectively, which were higher in group B1 than in group B2, the differences were statistically significant ( Z=3.85, P<0.001, Z=2.81, P=0.005). The proportion of mRS Score ≥3 in group B1 was 28.8%(107/371), and the all-cause case fatality rate was 7.5%(28/371), both higher than 20.5%(78/381) and 3.1%(12/381) in group B2, with statistical significance ( χ2=7.10, P=0.008, χ2=7.22, P=0.007). Hemorrhage transformation and recurrence of cardio-cerebrovascular events were 13.5%(50/371) and 11.6%(43/371) in group B1 and 9.2% (35/381) and 8.7%(33/381) in group B2, respectively, with no significant difference between the two groups ( χ2=3.45, P=0.063, χ2=1.78, P=0.183). Multivariate logistic regression analysis showed that, after adjusted for potential confounding factors, prealbumin was protective factor of NIHSS ( OR and 95% CI: 0.990(0.984-0.997), P=0.035), poor neurological recovery(mRS≥3) ( OR and 95% CI:0.992(0.988-0.997), P<0.001) and all-cause case fatality rate ( OR and 95% CI:0.991(0.983-0.999), while prealbumin had no significant influence on cardiocerebrovascular recurrence events ( OR and 95% CI: 0.999(0.993-1.005), P=0.729). Conclusion:Prealbumin is significantly associated with the severity of cerebral infarction and poor prognosis 1 year after discharge, and low prealbumin was an independent risk factor for NIHSS score(≥16), poor neurological recovery (mRS≥3) and all-cause case fatality rate.

Objectives:To explore the effects of infarct volume, infarct type, inflammation, and coagulation indicators on hemorrhagic transformation in patients with acute cerebral infarction.Methods:711 patients with cerebral infarction admitted to Beijing Tiantan Hospital were retrospectively included as the study objects from December 2018 to December 2019 [535 males and 176 females, age 22-95 years, mean age (59.6±12.1) years]. Clinical data, laboratory indicators such as inflammation and coagulation function of patients were collected, and information such as location, volume and type of infarction were recorded. The patients were divided into hemorrhage transformation group and non-hemorrhage transformation group according to whether hemorrhage transformation occurred during hospitalization. Normally distributed measurement data were expressed as xˉ± s, non-normally distributed measurement data were expressed as median and quartiles [ M( Q1, Q3)], categorical variable were expressed as ratio and percent (%). Comparison between groups of measurement data were performed by independent sample t test and Mann-Whitney U test. χ2 test were used on comparison between groups of categorical variable. Univariate comparison and multivariate Logistic regression were used to analyze the correlation between hemorrhage transformation and infarct volume, infarction type and laboratory indicators, respectively, to explore the risk factors of hemorrhage transformation. ROC curve analysis was used to evaluate the diagnostic value of indicators. Results:The rates of coronary heart disease and atrial fibrillation history in the hemorrhage transformation group were 23.5% (20/85) and 22.4% (19/85), respectively, which were significantly higher than those in the non-hemorrhage transformation group (13.9% (87/626) and 5.8% (36/626), respectively), and the difference between the two groups was statistically significant ( χ2=5.43, χ2=28.90, P=0.020, P<0.001, respectively). The NIHSS score [10(4,17) points] and infarct volume [46.50 (14.21,118.42) mL] in the hemorrhage transformation group were significantly higher than those in the non-hemorrhage transformation group [4(2,7) points, 2.00(0.51,8.94) mL]. The difference between the two groups was statistically significant ( Z values were 6.69 and 10.69, respectively, P<0.001). The results of multivariate Logistic regression analysis showed that atrial fibrillation (OR=2.604, 95% CI: 1.186-5.716, P=0.107), infarct volume (OR=1.009, 95% CI: 1.004-1.015, P=0.001), infarct type of Chinese ischemic stroke subclassfication (OR=1.371, 95% CI: 1.085-1.731, P=0.008) and neutrophil/lymphocyte ratio (OR=1.047, 95% CI: 1.006-1.090, P=0.023) were independent risk factors for hemorrhage transformation. ROC curve analysis showed that the area under curve (AUC) of infarct volume and neutrophil/lymphocyte ratio were 0.861 (0.821-0.901) and 0.684 (0.626-0.741), respectively, which were effective in predicting hemorrhage transformation after cerebral infarction. The prediction of infarct volume was more efficient. Conclusion:History of atrial fibrillation, classification of cardioembolic stroke, infarct volume, and neutrophil/lymphocyte ratio are all risk factors for hemorrhagic transformation after acute cerebral infarction.

Objective:To explore potential predictors of refractory Mycoplasma pneumoniae pneumonia (RMPP) in early stage. Methods:The prospective multicenter study was conducted in Zhejiang, China from May 1 st, 2019 to January 31 st, 2020. A total of 1 428 patients with fever >48 hours to <120 hours were studied. Their clinical data and oral pharyngeal swab samples were collected; Mycoplasma pneumoniae DNA in pharyngeal swab specimens was detected. Patients with positive Mycoplasma pneumoniae DNA results underwent a series of tests, including chest X-ray, complete blood count, C-reactive protein, lactate dehydrogenase (LDH), and procalcitonin. According to the occurrence of RMPP, the patients were divided into two groups, RMPP group and general Mycoplasma pneumoniae pneumonia (GMPP) group. Measurement data between the 2 groups were compared using Mann-Whitney U test. Logistic regression analyses were used to examine the associations between clinical data and RMPP. Receiver operating characteristic (ROC) curves were used to analyse the power of the markers for predicting RMPP. Results:A total of 1 428 patients finished the study, with 801 boys and 627 girls, aged 4.3 (2.7, 6.3) years. Mycoplasma pneumoniae DNA was positive in 534 cases (37.4%), of whom 446 cases (83.5%) were diagnosed with Mycoplasma pneumoniae pneumonia, including 251 boys and 195 girls, aged 5.2 (3.3, 6.9) years. Macrolides-resistant variation was positive in 410 cases (91.9%). Fifty-five cases were with RMPP, 391 cases with GMPP. The peak body temperature before the first visit and LDH levels in RMPP patients were higher than that in GMPP patients (39.6 (39.1, 40.0) vs. 39.2 (38.9, 39.7) ℃, 333 (279, 392) vs. 311 (259, 359) U/L, both P<0.05). Logistic regression showed the prediction probability π=exp (-29.7+0.667×Peak body temperature (℃)+0.004×LDH (U/L))/(1+exp (-29.7+0.667×Peak body temperature (℃)+0.004 × LDH (U/L))), the cut-off value to predict RMPP was 0.12, with a consensus of probability forecast of 0.89, sensitivity of 0.89, and specificity of 0.67; and the area under ROC curve was 0.682 (95% CI 0.593-0.771, P<0.01). Conclusion:In MPP patients with fever over 48 to <120 hours, a prediction probability π of RMPP can be calculated based on the peak body temperature and LDH level before the first visit, which can facilitate early identification of RMPP.

Objective:To analyze the clinical characteristics and risk factors of ischemic stroke in young adults.Methods:A retrospective analysis was conducted on 80 ischemic stroke patients (age ≤45 years) admitted to Beijing Tiantan Hospital from March 2019 to October 2019 as the young stroke group, and 117 ischemic stroke patients (age >45 years) hospitalized during the same period as the middle-aged and elderly stroke group. The blood test indexes of the two groups were compared, and the risk factors related to stroke, including smoking history, drinking history, hypertension, hyperlipidemia and diabetes history, were compared and analyzed. Two sets of independent sample t-test, Mann-Whitney U-test or χ2 test were used to compare the above indicators of patients in the two groups. Results:The activated partial prothrombin time, protein S, uric acid, homocysteine and D-dimer levels in middle-aged and elderly stroke group were (29.73±3.40) s, (105.58±27.23) %, (297.29±85.99) μmol/L, (17.58±14.45) μmol/L and (2.75±3.08) mg/L, respectively. Compared with the middle-aged and elderly stroke group, the young stroke group had higher activated partial thrombin time (31.51±6.75) s, protein S (115.20±26.97) %, uric acid (326.82±93.51) μmol/L, homocysteine (22.63±16.98) μmol/L and lower D dimer level of (1.19±2.88) mg/L compared with the elder group, the difference between the two groups was statistically significant ( t values were 2.17, 2.01, 2.20, 2.14 and 2.13, respectively, P values were 0.032, 0.046, 0.029, 0.039 and 0.034, respectively). The positive rate of lupus anticoagulant in young stroke group was 12.5% (4/32), which was higher than 1.8% (1/57) in middle-aged and elderly stroke group, and there was significant difference between the two groups (χ 2=4.46, P=0.035). The proportions of smoking and drinking in young stroke group were 63.8% (51/80) and 62.5% (50/80), respectively, which were higher than 49.6% (58/117) and 47.9% (56/117) in middle-aged and elderly stroke group, and there was significant difference between the two groups (χ 2 values were 3.86 and 4.09; P values were 0.04 and 0.04). The proportion of hypertension and diabetes in young stroke group was 48.8% (39/80) and 17.5%(14/80), respectively, which were lower than 63.2%(74/117) and 30.8%(36/117) in middle-aged and elderly stroke group, and there was significant difference between the two groups (χ 2 values were 4.08 and 4.56; P values were 0.043 and 0.033). According to the levels of uric acid and homocysteine, young stroke was divided into different subgroups and compared.The creatinine level of high uric acid group (≥416 μmol/L) was (90.08±28.46) mmol/L, which was higher than that of normal uric acid group (<416 μmol/L) of (63.37±22.2) mmol/L. There was significant difference between the two groups ( t value was 2.23, P value was 0.046). The levels of fibrinogen and creatinine in high homocysteine group (≥15 μmol/L) were (3.27±1.09) g/L and (72.13±28.69) mmol/L, respectively which were significantly higher than those in normal homocysteine group (<15 μmol/L) of (2.78±0.67) g/L and (58.92±12.08) mmol/L, There was significant difference between the two groups (the t values were 2.32 and 2.51; P values were 0.023 and 0.014). Conclusions:Compared with middle-aged and elderly stroke, young ischemic stroke has higher levels of prothrombin time, protein S, uric acid and homocysteine, lower levels of D dimer and higher positive rate of lupus anticoagulant. At the same time, the proportion of smoking and drinking was higher in young stroke group, but the proportion of hypertension and diabetes was relatively lower.

Objective To explore the effects of LINC00649/miR-424-5p/IGF1R on ERs-mediated apoptosis of cervical carcinoma (CC) cells. Methods CC-related data was obtained from GEO database, then the differentially-expressed miRNAs were analyzed. The bioinformatics database was used to predict the upstream and downstream targets of miR-424-5p. LINC00649 and IGF1R were included. Dual luciferase reporter assay was adopted to confirm the targeting relationship. qRT-PCR was used to detect the expression levels of LINC00649, miR-424-5p and IGF1R in CC tissue and cells. CCK-8 and flow cytometry were used to evaluate the proliferation and apoptosis of CC cells. Western blot was used to detect the expression of ERs-related proteins GRP78, CHOP and Caspase-12. Results Compared with paracancerous tissue and H8 cells, LINC00649 and IGF1R were up-regulated in CC tissue and cells, while miR-424-5p was down-regulated (both P < 0.05). The abnormally high expression of LINC00649 in CC was related to poor prognosis. The knockdown of LINC00649 inhibited CC cell viability and induced cell apoptosis by promoting ERs (all P < 0.05). LINC00649 upregulated the expression of IGF1R via absorbing miR-424-5p. miR-424-5p inhibitor or IGF1R overexpression partially reversed the effects of LINC00649 knockdown on CC cells (both P < 0.05). Conclusion LINC00649 could reduce cell apoptosis and improve cell viability by inhibiting the ERs process via regulating miR-424-5p/IGF1R axis in CC.

Objective To determine whether regulatory T cells(Tr)are increased in patients with tuberculosis and whether they are associated with its immunopathology.Meantime,to investigate the possibility of tuberculosis(TB)as a model for studying Tr functions.Methods The lymphocyte subsets were isolated from peripheral blood mononuclear cells by sorting with flow cytometry.Total cellular RNA was extracted and RT-PCR was performed to detect the Foxp3 mRNA in purified CD3+CIM+T cells,CD3+CD8+T cells and non-CD3+CD4+CD8+T cells.Using FACS analysis.we further investigated the distribution of Foxp3+ population in CD4+ CD25+T cells.Finally,we compared the percentage of CD4+CD25highFoxp3+T cells present in 51 active patients with tuberculosis and 40 uninfected healthy control subjects by FACS.The detection of Tr infiltration of Foxp3+ cells were performed with immunohistochemistry(IHC)method on tuberculosis pathological sections.Results Foxp3 was specific expressed in CD3+CD4+T cells,either in tuberculosis patients or healthy control subjects.Foxp3+ T cells took about 85%fraction of CD4+ CD25highpopulation.We used CD4+CD25high Foxp3+as a detective markers for Tr in the FACS analysis.The results showed that patients with active TB had a 4.4 fold higher percentage within the CD4+T cells in peripheral blood compared to healthy control group(modian,1.01%vs 0.23%,P<0.01).Much higher frequency of Tr were found along with T cells infiltration at the tuberculosis pathological tissues.A few individuals that we can followed indicated the expanded Tr was declined after curative treatment with operation.Conclusion Tr cells are increased in tuberculosis patients and closely correlate with its immunopathology.Tuberculosis should be a valuable model for Tr functional study.