1.Association study on serum protein factors and cognitive function in first-episode schizophrenia characterized by positive and negative symptoms
Nan DAI ; Peng CHEN ; Yong ZENG ; Ming LI ; Peng XIONG ; Fei XU ; Fang LIU ; Huijin JIE ; Rui CHU ; Jinsheng ZHI
Chinese Journal of Behavioral Medicine and Brain Science 2017;26(5):416-420
ObjectiveTo investigate the relationship between the serum concentration of IL-6,S100β,NT-3 and the cognitive functions in first-episode schizophrenia characterized by positive or negative symptoms.Methods44 first-episode schizophrenic patients characterized by positive symptoms (positive group),36 first-episode schizophrenic patients characterized by negative symptoms (negative group) and 50 healthy controls (controls) were collected.The serum levels of IL-6,S100β and NT-3 were measured by enzyme-linked immunosorbent assay (ELISA).The systematic evaluation tool-MCCB was applied to assess cognitive function in patients and controls.ResultsNT-3 serum levels in positive or negative groups were lower than those in controls and the differences were significant((118.39±37.50) ng/L,(112.55±32.29) ng/L vs (141.18±29.67) ng/L) (P<0.01).IL-6 and S100β serum levels in positive or negative groups were higher than those in controls and the differences were statistically significant((5.74±1.00)ng/L,(5.07±1.17)ng/L vs (4.23±0.91)ng/L),((132.98±46.71)ng/L,(124.99±43.14)ng/L vs (103.63±31.57)ng/L)(P<0.01).IL-6 serum levels in the positive group ((5.07±1.17)ng/L) were lower than those in the negative group ((5.74±0.99)ng/L) and the difference was statistically significant (P<0.05).In MCCB test,the TMT scores in patients characterize by positive symptoms or patients characterize by negative symptoms were higher than those in healthy control group (P<0.01).BACS SC,HVLT-R WMS-Ⅲ,SS,NAB,BVMT-R,CF in patients characterize by positive symptoms or by negative symptoms were lower than those in healthy control group(P<0.01).There were no statistical difference in the MCCB scores between the patients with positive symptoms and negative symptoms.In positive group,there was a positive correlation between the IL-6 serum concentration and the general symptom scores in PANSS (P<0.05).In positive group,NT-3 serum concentration was positively correlated with the general symptom scores or total scores of PANSS (P<0.05).BVMT-R scores in MCCB were also positively correlated with IL-6 or NT-3 serum concentration in positive group (P<0.05).ConclusionThe impairment of part of cognitive functions for schizophrenic patients may be related to the serum protein factors.There may be different in pathophysiology between the first-episode schizophrenic patients characterized by positive symptoms and those characterized by negative symptoms.
2.Antimicrobial resistance surveillance among nosocomial pathogens in 13 teaching hospitals in China in 2009
Qiwen YANG ; Hui WANG ; Yingchun XU ; Minjun CHEN ; Danhong SU ; Zhidong HU ; Kang LIAO ; Ji ZENG ; Yong WANG ; Bin CAO ; Yunzhuo CHU ; Rong ZHANG ; Wenen LIU ; Chunmei ZHOU ; Yongzhong NING ; Xiuli XU ; Chao ZHUO ; Bin TIAN ; Dongmei CHEN ; Yan XIONG ; Ping LI ; Yingmei LIU ; Hua NIAN ; Lihong LI ; Mingxiang ZOU ; Hongmei XIE ; Peihong YANG ; Hongli SUN ; Xiuli XIE
Chinese Journal of Laboratory Medicine 2011;34(5):422-430
Objective To investigate distribution and antimicrobial resistance among nosocomial pathogens from 13 teaching hospitals in China in 2009. Methods Non-repetitive pathogens from nosocomial BSI, HAP and IAI were collected and sent to the central lab for MIC determination by agar dilution method.WHONET5.6 software was used to analyze the data. Results A total of 2 502 clinical isolates were collected. The top three pathogens of BSI were Escherichia coli [27. 1% (285/1 052 )] , coagulase-negutive staphylococcus [12. 6% ( 133/1 052)] and Klebsiella pneumoniae [10. 8% ( 114/1 052)]. The top three pathogens of HAP were Acinetobacter baumannii [28. 8% (226/785)], Pseudomonas aeruginosa [16. 1% (126/785)] and Klebsiella pneumoniae [14.6% (115/785 )] . The top three pathogens of IAI were Escherichia coli[31.0% ( 206/665 )], Klebsiella pneumonia [11.3% ( 75/665 )] and Enterococcus faecium [10. 8% (72/665)]. Against Escherichia coil and Klebsiella spp. , the antimicrobial agents with higher than 80% susceptibility rate included imipenem and meropenem (98. 1%-100% ), tigecycline (95.3%-100% ), piperacillin-tazobactam ( 88.6% -97. 1% ) and amikacin ( 88. 3% -92. 5% ). Against Enterobacter spp. , Citrobacter spp. and Serratia spp. , the susceptibility rates of tigecycline were 93.5% -100% whereas the value of imipenem and meropenem were 92.9% -100%. Other antimicrobial agents with high activity included amikacin ( 85.2% -96. 7% ), pipcracillin-tazobactam ( 82.4% -96.4% ), cefepime ( 79. 6% -96. 7% ) and cefoperazonc-sulbactam (78. 7%-90. 0% ). Polymyxin B showed the highest susceptibility rateagainst Pseudomonas aeruginosa ( 100% ), followed by amikacin ( 81.9% ) and piperacillin-tazobactam (80.1% ). Polymyxin B also showed the highest susceptibility rate against Acinetobacter baumannii (98. 8% ), followed by tigecycline (90. 1% ) and minocycline (72. 0% ). The incidence of carbapenemresistant Acinetobacter baumannii was 60. 1%. The MRSA rate was 60. 2% and the MRSCoN rate was 84. 2%. All Staphylococcus strains were susceptible to tigecycline, vancomycin, teicoplanin and linezolid except for one isolate of Staphylococcus haemolysis with intermediate to teicoplanin. Two Enterococcus faecalis isolates which were intermediate to linezolid and one Enterococcus faecium isolate which was resistant to vancomycin and teicoplanin was found in this surveillance, while the MICs of tigecycline against these three isolates were 0. 032-0. 064 μg/ml. Conclusions Tigecycline, carbapenems, piperacillin-tazobactam,amikacin and cefepime remain relatively high activity against nosocomial Enterobacteriaceae. Pseudomonas aeruginosa exhibite high susceptibility to polymyxin B, while Acinetobacter baumanni shows high susceptibility to polymyxin B and tigecycline. Tigecycline, vancomycin, teicoplanin and linezolid remain high activity against nosocomial gram-positive cocci.
3.Establishment of a prediction model for colorectal cancer immune cell infiltration based on the cancer genome atlas (TCGA) database.
Ting Ting DING ; Chu Xiong ZENG ; Li Na HU ; Ming Hua YU
Journal of Peking University(Health Sciences) 2022;54(2):203-208
OBJECTIVE:
To study the correlation between immune cell infiltration in colorectal cancer tissue and clinical prognosis and to explore the levels of some immune cell genes for predicting the prognosis of patients with glioma colorectal cancer.
METHODS:
In this study, we extracted colorectal cancer data from the cancer genome atlas (TCGA). Based on a deconvolution algorithm (called CIBERSORT) and clinically annotated expression profiles, the analysis assessed the infiltration patterns of 22 immune cells in colorectal cancer tissue to determine the association between each cell type and survival. Differences in five-year survival rate effectively illustrate the clinical prognostic value of each immune cell proportion in colorectal cancer, using a bar graph, correlation-based heatmap to represent the proportion of immune cells in each colorectal cancer sample.
RESULTS:
A total of 473 colorectal cancer tissues and 41 normal control tissues were extracted from the TCGA database, and the comparative analysis showed that there were differences in the proportion of various TIICs in colorectal cancer tissues, which could characterize individual differences and have prognostic value. Among the cell subsets studied, the proportions of memory B cells, plasma cells, CD4+ T cells, natural killer (NK) cells, M0 macrophages, M2 macrophages, and activated mast cells were significantly different between normal and cancer tissues. Resting NK cells, CD8+ T cells, and plasma cells were associated with T phase, activated dendritic cells were associated with N phase, and eosinophils, M1 macrophages, and activated mast cells were associated with M phase. Survival analysis showed that activated dendritic cells were positively associated with five-year survival rate in colorectal cancer patients. Naive CD4+ T cells were inversely associated with five-year survival rate.
CONCLUSION
There are different degrees of immune cell infiltration in colorectal cancer tissues, and these differences may be important determinants of prognosis and treatment response. We conducted a new gene expression-based study of immune cell subtype levels and prognosis in colorectal cancer, which has potential clinical prognostic value in colorectal cancer patients.
CD8-Positive T-Lymphocytes
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Colorectal Neoplasms/genetics*
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Glioma
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Humans
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Macrophages
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Prognosis
4.The Role of Cerebral-Placenta-Uterine Ratio in Predicting Late-Onset Fetal Growth Restriction
Yongyan CHU ; Haiyan TANG ; Jiayi ZHANG ; Chuqin XIONG ; Haoyue HUANG ; Runhe LIANG ; Cuiying LEI ; Ting ZENG ; Yanyan LI ; Li HE ; Minping CHEN ; Libei DU ; Shengmou LIN
Journal of Practical Obstetrics and Gynecology 2024;40(1):36-41
Objective:To evaluate the efficacy of cerebral-placental-uterine ratio(CPUR)in predicting late-on-set fetal growth restriction(FGR).Methods:From May 2020 to May 2021,1255 women with singleton pregnancy who underwent prenatal examinations at the University of Hong Kong Shenzhen Hospital were selected for fetal growth and Doppler measurements at 35-37 +6 weeks of gestation.Pregnant women with birth weight of newbo-rns<the 10th percentile were the FGR group.The pulsatility index(PI)of uterine artery(UtA),umbilical artery(UA)and fetal middle cerebral artery(MCA)were analyzed separately and in combination.ROC curve was used to analyze the cerebral-placental-uterine ratio(CPUR),cerebral-placental ratio(CPR),cerebral-uterine ratio(C-UtA)for predicting late-onset FGR;and to evaluate the sensitivity,positive and negative predictive value and of CPUR in the prediction of late-onset FGR.Results:The area under the curve(AUC)of CPUR,CPR,C-UtA and mean UtA-PI for FGR grope were 0.88,0.86,0.84 and 0.72.Under certain cut-off values and 87% specificity,the specificity of CPUR,CPR,C-UtA and mean UtA-Pifor predicting FGR group was 43.2%,46.6%,39.8% and 23.9%,respectively.The positive predictive values of CPUR,CPR,C-UtA and mean UtA-PI,UA-PI for predicting FGR group were 90.5%,71.9%,83.3%,63.6%and 5.2%,respectively.Conclusions:CPUR is more effective in predicting late onset FGR than CPR,C-UtA and mean UtA-PI.It can effectively increase the detection rate of fetal growth restrictionand reduce the FGR risk.