1.Analysis of genes related to sensitivity to navalbine and docetaxel in 10 lung cancer cell lines.
Li CAI ; Jian-hua LI ; Yan XIN ; Lin-lin NIU ; Jia-lan ZANG ; Guang-jie SUI
Chinese Journal of Oncology 2006;28(4):253-256
OBJECTIVETo analyze the drug-sensitivity-related genes to anti-tumor drugs navalbine (NVB) and docetaxel (Doc) in four SCLC and six NSCLC cell lines.
METHODSThe sensitivity of 4 SCLC lines and 6 NSCLC lines to NVB and to Doc was determined with MTT test. The expression of 1291 anti-tumor drug sensitivity-related genes in the 10 cell lines was assayed by cDNA macroarray technique, and cluster analysis was performed to find the relationship between the results obtained by the above mentioned two measurements.
RESULTS(1) The anti-tumor effect of NVB on the 10 cell lines was apparently better than that of Doc. (2) The drug sensitivity-related genes in these 10 cell lines showed a more close positive correlation with Doc than that with NVB, whereas more genes showed negative correlation with NVB than that with Doc. But in 6 NSCLC cell lines, more genes showed the same positive or negative correlation with the two drugs. (3) 51 genes in the 10 cell lines showed correlation with Doc or NVB. 13 of them had negative correlation with Doc, 11 of them showed positive correlation. 24 of them showed negative correlation with NVB, 3 of them showed positive correlation. 67 genes in 6 NSCLC cell lines showed a correlation with sensitivity to Doc or NVB, among them 34 had negative correlation with Doc, 4 had positive correlation. 25 genes had negative correlation with NVB, 4 had positive correlation. (4) Rab 1, Rab 3, Rho B, Rho C, Rac 1, Rac 2, Gho GDI beta, CD44, integrin alpha5, integrin alpha6, integrin beta5, vinculin showed to be cytoskeleton-related genes differently expressing in SCLC or NSCLC cell lines.
CONCLUSIONThere is obvious difference in the drug sensitivity-related genes to NVB or Doc between SCLC and NSCLC cell lines.
Antineoplastic Agents ; pharmacology ; Cell Line, Tumor ; Cluster Analysis ; Cytoskeletal Proteins ; metabolism ; Cytoskeleton ; genetics ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Humans ; Integrin alpha5 ; metabolism ; Lung Neoplasms ; genetics ; metabolism ; pathology ; Oligonucleotide Array Sequence Analysis ; Taxoids ; pharmacology ; Vinblastine ; analogs & derivatives ; pharmacology ; rab1 GTP-Binding Proteins ; metabolism ; rac1 GTP-Binding Protein ; metabolism
2.Risk factors analysis and prediction nomogram establishment of acute kidney injury in hip fracture patients with severe underlying diseases
Chen LI ; Lan JIA ; Jiacheng ZANG ; Shujun YU ; Xueqing BI ; Jia MENG ; Jie LIU ; Jingbo WANG ; Yinguang ZHANG
Chinese Journal of Orthopaedics 2023;43(16):1094-1103
Objective:To analyze the risk factors of acute kidney injury (AKI) in hip fracture patients with serious underlying diseases and establish a prediction nomogram.Methods:Clinical information of hip fracture patients admitted to the intensive care unit (ICU) of Beth Israel Deaconess Medical Center (BIDMC) was analyzed using the Medical Information Mart for Intensive Care (MIMIC)-IV. Patient comorbidities, disease scores, vital signs and laboratory tests, surgical modalities, invasive procedures, and drug use were recorded. According to the diagnostic criteria of AKI in the Kidney Disease Improving Global Outcome (KDIGO) guideline, the enrolled patients were randomly divided into training set and validation set. Based on logistic regression analysis, least absolute shrinkage and selection operator (LASSO) logistic regression algorithm was used to analyze the risk factors of AKI after admission, and the corresponding prediction model was calculated.Results:A total of 474 patients were enrolled, including 331 in the training set and 143 in the validation set. According to the diagnostic criteria of AKI of KDIGO guidelines, the patients were divided into AKI group (159 cases) and non-AKI group (172 cases). Univariate analysis showed that age ( t=2.61, P=0.009), coronary heart disease (χ 2=2.08, P=0.038), heart failure (χ 2=2.60, P=0.009), hemoglobin ( t=1.89, P=0.059), platelets ( t=1.81, P=0.070), urea nitrogen ( t=2.83, P=0.005), blood creatinine ( t=3.65, P<0.001), blood sodium ( t=2.55, P=0.011), blood glucose ( t=2.52, P=0.012), anion gap ( t=3.44, P=0.001), diastolic blood pressure ( t=2.72, P=0.007), mean arterial pressure ( t=2.16, P=0.031), SOFA score ( t=3.69, P<0.001), simplified acute physiological function score II (SAPSII) score ( t=2.95, P=0.003), as well as furosemide (χ 2=2.03, P=0.042), vancomycin (χ 2=1.70, P=0.089), vasoactive medications (χ 2=3.74, P<0.001) and use of invasive mechanical ventilation (χ 2=4.81, P<0.001) were risk factors associated with the development of AKI in hip fracture patients. Multivariate logistic regression analysis showed that age ( OR=1.03, P<0.001), coronary heart disease ( OR=2.05, P=0.069), hemoglobin ( OR=0.88, P=0.050), blood creatinine ( OR=1.37, P=0.009), blood sodium ( OR=1.07, P=0.026), anion gap ( OR=1.09, P=0.028) and vasoactive medications ( OR=3.83, P=0.018) and the use of invasive mechanical ventilation ( OR=6.56, P<0.001) were independent predictors of the development of AKI in hip fracture patients with serious underlying diseases. The area under the curve of the nomogram prediction model constructed by the above 8 predictors was 0.789, and the calibration curve of the nomogram was close to the ideal diagonal. Decision curve analysis showed that the net benefit of the model was significant. Conclusion:The incidence of AKI is high in hip fracture patients with serious underlying diseases. Age, coronary heart disease, hemoglobin, serum creatinine, serum sodium, anion gap, vasoactive drugs, and invasive mechanical ventilation can predict the occurrence of AKI to a certain extent. Combined with the risk factors, the construction of the corresponding prediction model can predict and manage the diagnosis and treatment of AKI in patients with hip fracture complicated with severe underlying diseases.
3.The effects of occupational soluble chromate exposure on immunological function of T-cell.
Lei YAN ; Tian-Cheng WANG ; Ping-Ping HE ; Yan-Hui MA ; Ji ZHANG ; Lan-Zheng LIU ; Ning ZHANG ; Jing-Wen ZHOU ; Xian-Mei DU ; Jia-Jie ZANG ; Xiang WANG ; Guang JIA
Chinese Journal of Preventive Medicine 2010;44(1):14-17
OBJECTIVETo investigate the early changes of some immunological function of T-cell in chromate workers.
METHODSA total of 115 workers exposed to different levels of soluble chromate were enrolled in exposed group; while 90 non-exposure workers who lived far away from the chromate plant were enrolled as control. The air concentration of soluble chromate was determined by atomic absorption spectrometry. CD3(+), CD3(+)CD4(+), CD3(+)CD8(+) and CD4(+)/CD8(+) of T-cell were determined by flow cytometry analysis.
RESULTSThe individual air chromate concentration in the exposed group was (27.51 +/- 33.25) microg/m(3), and the control group was (0.16 +/- 0.15) microg/m(3). The significant difference between the two groups was observed (z = 8.045, P < 0.01). The levels of the lymphocyte subsets (CD3(+), CD3(+)CD4(+), CD3(+)CD8(+) and CD4(+)/CD8(+)) in exposed group were (30.08 +/- 17.75)%, (1.04 +/- 1.73)%, (11.94 +/- 9.78)%, 0.10 +/- 0.14. While, those of control group were (63.00 +/- 13.57)%, (30.51 +/- 5.16)%, (14.82 +/- 4.59)%, 2.17 +/- 0.53, higher than that of the exposed group (z values were 4.484, 5.227, 1.976, -5.218, respectively, P < 0.05).
CONCLUSIONOn the basis of individual air monitoring, the cellular immune function affected by soluble chromate is mainly based on T lymphocyte inhibition. The indicators CD3(+)CD4(+) mentioned above may be considered as efficient biomarkers in further research.
Adult ; CD4-CD8 Ratio ; Case-Control Studies ; Chromates ; adverse effects ; Female ; Humans ; Male ; Middle Aged ; Occupational Exposure ; T-Cell Antigen Receptor Specificity ; drug effects ; immunology ; T-Lymphocytes ; drug effects ; immunology
4.Case Report and Literature Analysis of Antidepressants-induced Thrombocytopenia
Shuang BAO ; Hongyan ZHUANG ; Shanshan LIU ; Mengxi NIU ; Yannan ZANG ; Xiaoqian LAN ; Fei JIA ; Wei GUO
China Pharmacy 2021;32(3):334-338
OBJECTIVE:To investigate the clini cal features of thrombocytopenia induced by antidepressants ,and to provide reference for the rational use of clinical drugs. METHODS :Retrieved from CNKI ,Wanfang database ,VIP,PubMed and Web of Science,during Jan. 1st in 1985 to Aug. 31st in 2020,case reports about antidepressants-induced thrombocytopenia was collected and analyzed descriptively in terms of demographic characteristics ,medication,clinical manifestations ,treatment and outcome. RESULTS:A total of 17 literatures were retrieved ,and 19 patients were included ,involving 10 male and 9 female,aged from 5 to 95 years old ,with an average of (48±24)years old. Nine kinds of drugs were involved ,including 4 cases of escitalopram ,3 cases of citalopram ,3 cases of fluoxetine ,3 cases of mirtazapine ,2 cases of amitriptyline ,1 case of sertraline ,1 case of paroxetine,1 case of mianserin and 1 case of imipramine. There were 9 cases of single drug and 10 cases of drug combination. All 19 patients suffered from thrombocytopenia at 3 d-10 years after medication ,14 of them had hemorrhage tendency. Main clinical manifestations included mucocutaneous hemorrhage ,gingival bleeding ,black stool ,hematochezia,vaginal bleeding ,ocular hemorrhage,alveolar hemorrhage. No bleeding was found in 5 cases. After drug withdrawal/changing drugs and other symptomatic treatment, platelet count of 19 patients recovered to normal , and bleeding symptoms disappeared. CONCLUSIONS : Thrombocytopenia caused by antidepressants has no obvious clinical features and is not easy to be found ,but it may lead to severe; bleeding symptoms if it is not found in time. The changes of platelet count should be closely monitored in clinical application of such drugs to ensure the safety of drug use.