1.Immune function changes of non-small cell lung cancer patients after chemotherapy
Huiru ZHENG ; Meiling JIN ; Tao REN ; Lei ZHANG ; Yiwei CHU
Fudan University Journal of Medical Sciences 2009;36(6):696-700
Objective To compare the proportion of CD3~+T cell and CD4~+CD25~(high) regulatory T cell (Treg cell) and the production of inferon γ ( IFN-γ) and interleukin-12 (IL-12) in peripheral blood mononuclear cells (PBMC) between patients with non-small cell lung cancer (NSCLC) and healthy people, and to analyze the changes of CD3~+T cell, CD4~+CD25~(high)Treg cell, IFN-γ and IL-12 of NSCLC patients before and after chemotherapy, so as to determine immune function changes of NSCLC patients caused by chemotherapy. Methods Twenty NSCLC patients and 20 healthy volunteers according to the including criteria were selected. Three mL of blood was drawn from NSCLC patients before chemotherapy (0 d), on the 3~(rd) day (3 d) and 7~(th) day (7 d) after chemotherapy. PBMC cells were separated from the blood samples. The proportions of CD4~+CD25~(high)Treg cell and CD3~+T cell (%) in PBMC were tested by FACS, and the IFN-γ and IL-12 (pg/mL) in the supernatants were also detected. Results The proportions of CD3~+T cell in NSCLC patients on 0, 3 and 7 d were (55.15±20.11)%,(57.73±14.08)% and (62.79±7.80)%,respectively, and there was no statistical difference between any two of these results. The proportion of CD4~+CD25~(high)Treg cell in healthy volunteers was (2.14±0.85)%, while that of NSCLC patients was (2.76±0.53)% on 0 d with statistical difference compared to the healthy volunteers (P<0.05). The CD4~+CD25~(high)Treg cell proportion (%) of NSCLC patients on 3 d and 7 d were (2.54±0.57)% and (2.72±0.29)%, respectively, which were both significantly lower than that of 0 d. On 3 d it was even much lower than that on 7 d (P<0.05). IFN-γ and IL-12 of NSCLC patients on 0 d were (34.36±4.38) pg/mL and (33.24±4.36) pg/mL, and no statistical difference was observed when compared with (34.36±4.38) pg/mL and (33.24±4.36) pg/mL in the healthy volunteers. On 3 d and 7 d, IFN-γ of NSCLC patients were (40.42±5.66) pg/mL and (39.27±6.07) pg/mL, respectively, and both were higher than that on 0 d (P<0.05); IL-12 of NSCLC patients were (35.51±5.03) pg/mL and (38.62±6.44) pg/mL, also both were higher than that on 0 d (P<0.05). Conclusions This study suggests that chemotherapy can improve immune functions of NSCLC patients, and may reinforce the anti-tumor immune response.
2.Relationship between Tumor Necrosis Factor-alpha and Smoking-related Chronic Obstructive Pulmonary Disease
Yan GONG ; Meiling JIN ; Tao REN ; Chong BAI ; Yingyun CAI
Chinese Journal of Rehabilitation Theory and Practice 2008;14(6):557-559
Objective To investigate the relationship between tumor necrosis factor-alpha (TNF-α) and development of chronic obstructive pulmonary disease (COPD).Methods COPD patients and controls were divided into three groups: COPD group (n=66), smoker control group (n=42) and health control group (n=23). COPD group was further divided into the serious group (n=23) and non-serious group (n=43). The concentration of TNF-α of all cases was detected by human Th1/Th2 cytokine kit.Results The concentration of TNF-α in the COPD group was significantly higher than that of the smoker and healthy groups ( P<0.01). Furthermore, compared to non-serious COPD group, the concentration of TNF-α was higher in the serious COPD group ( P<0.05).Conclusion The concentration of TNF-α might be related with the pathogenesis and development of COPD.
3."""Internet+precision medicine "" promote informationalization and integration of medical courses"
Meiling BAI ; Jucai JIA ; Chunting JIN ; Yuzhen LI ; Junxu REN ; Zigang ZHAO ; Linxi ZHANG
Basic & Clinical Medicine 2017;37(3):427-430
Here we reported a research project based on Black-board to integrate medical curriculum .The key points of this research is application of clinical cases as teaching data and facilitate learning of knowledge following the principle of learning by doing and , input the concept of precision medicine and informatics in learning process with an individually designed framework of learning .The learning outcome is evaluated with big data tech-nology and thus creates a student-centered pathway of medical education .
4.Preparation of a murine model of systemic Candida albicans infection
Yue WU ; Hang LI ; Meiling CHEN ; Baoyong GONG ; Yu ZHANG ; Ren HUANG
Acta Laboratorium Animalis Scientia Sinica 2015;(3):301-305
To establish a stable mouse model of systemic Candida infection and to set up related standard operation procedure .Methods ICR mice were infected with C.albicans or C.parapsilosis by tail vein injection after immunosuppres-sion by cyclophosphamide .The quality control key points included immunosuppression , strain preparation, inoculation doses and the route of inoculation .Survival analysis , bacterial loads and pathological examination were performed to evaluate the prepared model .Results The developed model showed fugal-specific lesions in multiple organs , especially in the kidneys revealed by histopathological examination .Conclusions A stable mouse model of systemic Candida albicans infection can be successfully established by following standardized operation procedure .This mouse model may provide a useful tool for studies on pathogenesis and immune defense of fungal infection and new anti-fungal drug development and so on .
5.Application of matrix-assisted laser desorption ionization-time of flight mass spectrometer in identification of clinical common bacteria
Bing WANG ; Xiaoqing REN ; Meiling CHU ; Liu YANG ; Xiangyu SHENG ; Lianqing ZHOU ; Wencheng XUE ; Dongya MENG
International Journal of Laboratory Medicine 2014;(16):2228-2230
Objective To evaluated the application value of two kinds of mass spectrometer(MS)and Vitek MS system in the i-dentification of routinely isolated bacteria in clinic.Methods 149 strains of common bacteria(including 14 genera and 30 species)i-solated from blood,urine,cerebral spinal fluid,secretion and sputum samples in our hospital from March 2012 to January 2013 were collected and simultaneously identified by 2 kinds of matrix-assisted laser desorption ionization-time of flight mass spectrometer (MALD-TOF-MS).The identification results were compared with those identified by the conventional biochemical identification (Vitek2 compact).The strains with the inconsistent results identified by 3 kinds of method were confirmed by 16S rDNA gene se-quencing.Results Among 149 common bacteria,the correct identification rates of genus and species by the Bruker Biotyper MS were 98% and 96% respectively and which by the Vitek MS system were 97% and 95% respectively.There were no misidentified bacterial strains by these two kinds of MS.Conclusion No statistical difference in the identification results was observed between these two kinds of MS system(P >0.05).Both exhibit excellent identification level and are suitable for the routine laboratory iden-tification of clinical microorganism.
6.Study on resilience and its related factors of nurses
Yaxin REN ; Ying ZHOU ; Meiling HUANG ; Shouzhen CHENG ; Xiashu YAN ; Huan ZHANG ; Shengmao PAN
Chinese Journal of Practical Nursing 2013;29(35):7-10
Objective To investigate the status of nurses' resilience and to explore the related factors.Methods 1356 nurses from 11 level Ⅱ and level Ⅲ hospitals of Guangzhou were assessed by using the general information questionnaire and the Chinese version of Conner-Davidson resilience scale.Results The score of nurses' resilience was(59.99±13.59)points and it was significantly lower than that of the domestic norm.There was statistical difference of the score of nurses' resilience on different genders,educational background,professional titles,hospital level and night shifts.There was a positive correlation among educational background,night shifts and nurses' resilience,and a negative correlation between hospital level and nurses' resilience.The hospital level,night shifts and educational background were the influencing factors of nurses' resilience.Conclusions The level of nurses' resilience is low.The higher hospital level and educational background,and the less night shift,the higher of nurses' resilience.
7.An exploratory study on resilience and its influencing factors of nurses
Yaxin REN ; Ying ZHOU ; Meiling HUANG ; Xinrong LU ; Shouzhen CHENG ; Shengmao PAN
Chinese Journal of Behavioral Medicine and Brain Science 2014;23(3):258-260
Objective To explore the resilience and its influencing factors of nurses.Methods I 356 nurses from 11 comprehensive hospitals of Guangzhou were assessed by Conner-Davidson Resilience Scale,General Self-Efficacy Scale,Simplified Coping Style Questionnaire and Chinese Nurse Job Stress Scale.Results ①The score of nurses' resilience was (59.99± 13.59) and it was significantly lower (t=-t4.656,P<0.001) than that of the domestic norm (65.4±13.9,n=560).There were statistic difference (P<0.05) among the total score and 3 dimensions scores of resilience on different educational level and professional rank of nurses.②Nurses' resilience had a obvious positive correlation with the educational level,professional rank,self-efficacy,positive coping(P< 0.01),and a obvious negative correlation with the negative coping and job stress(P<0.01).It can be assumed that educational level,self-efficacy,coping style and job stress had good predictive ability (47.4%).Conclusion The nurses have low resilience than general population.Educational level,self-efficacy,coping style and job stress are influencing factors of resilience.
8.Factors related to postoperative adjuvant therapy of locally advanced cervical cancer and building of a nomogram prediction model
Mingyue YU ; Zhengzheng CHEN ; Xuxu ZHAO ; Pingping REN ; Ying ZHANG ; Li GE ; Meiling ZHU ; Weidong ZHAO
Journal of International Oncology 2021;48(1):35-40
Objective:To explore the related factors of postoperative adjuvant therapy for cervical cancer stagedⅠB1-ⅡA2 [according to 2018 International Federation of Gynecology and Obstetrics (FIGO) staging standard], and to establish a nomogram model to predict the risk of postoperative adjuvant therapy for locally advanced cervical cancer.Methods:A total of 714 patients with cervical squamous cell cancer staged FIGO ⅠB1-ⅡA2 treated by surgery in Anhui Provincial Hospital were selected as the research objects from January 2009 to December 2019, and their clinicopathological data were analyzed. Multiple logistic regression analysis was used to determine the influencing factors, and a nomogram model was established to predict the risk of postoperative adjuvant treatment of cervical cancer. The predictive performance of the model was evaluated with the consistency index (C-index), and the compliance of the model was evaluated with the calibration curve.Results:Univariate analysis suggested that postoperative adjuvant therapy for cervical cancer was associated with gravidity ( χ2=11.506, P=0.001), underlying disease (hypertension or diabetes) ( χ2=7.668, P=0.006), squamous cell cancer antigen (SCC-AG) level ( χ2=19.392, P<0.001), imaging risk factors ( χ2=16.392, P<0.001), FIGO stage ( χ2=25.686, P<0.001), tumor size ( χ2=9.392, P=0.025) and surgical path ( χ2=16.590, P<0.001). Multivariate logistic regression analysis suggested that the number of pregnancy >2 times ( OR=1.951, 95% CI: 1.355-2.808, P<0.001), SCC-Ag ≥1.5 μg/L ( OR=2.021, 95% CI: 1.444-2.829, P<0.001), FIGO stage ⅠB3-ⅡA2 [ⅠB3 ( OR=1.933, 95% CI: 1.139-3.282, P=0.015); ⅡA1 ( OR=2.723, 95% CI: 1.556-4.765, P<0.001); ⅡA2 ( OR=3.159, 95% CI: 1.502-6.646, P=0.002)], with underlying disease (hypertension or diabetes) ( OR=1.867, 95% CI: 1.051-3.318, P=0.033), imaging risk factors ( OR=1.997, 95% CI: 1.127-3.537, P=0.018), without neoadjuvant therapy [preoperative neoadjuvant therapy for 1 cycle ( OR=0.402, 95% CI: 0.207-0.783, P=0.007)] and laparoscopic surgery ( OR=2.177, 95% CI: 1.524-3.112, P<0.001) were independent influencing factors for postoperative adjuvant treatment of cervical cancer. Based on the screened variables, the nomogram model to predict the risk of postoperative adjuvant treatment for cervical cancer has good predictive performance (C-index was 0.702) and compliance. Conclusion:The number of pregnancy >2 times, SCC-Ag ≥1.5 μg/L, FIGO stage ⅠB3-ⅡA2, with underlying disease (hypertension or diabetes), imaging risk factors, without neoadjuvant therapy, and laparoscopic surgery are independent influencing factors for postoperative adjuvant treatment of cervical cancer. A nomogram model has been constructed to predict the risk of postoperative adjuvant therapy for locally advanced cerrical cancer, and it can provide evidence for clinical treatment selection.
9.Mechanism of Wendan decoction in preventing obesity by regulating multiple signal pathway networks based on gene promoter methylation
Haiyan Yang ; Meiling Ren ; Ziting Wu ; Jinchao Li ; Ping Wang
Journal of Traditional Chinese Medical Sciences 2024;11(1):93-100
Objective:
To investigate the potential mechanism of Wendan decoction in obesity by screening target genes with promoter region methylation changes and constructing a multiple signaling pathways network based on promoter methylation.
Methods:
The methylation degree of Itgad, Col8a1, Adra2b, Jund, Rab2a, Wnt8b, Fzd9, B4galt7, Pik3cd, Creb1, Stard8, and Mmp1 in the abdominal adipose tissue of obese rats was determined using the Agena MassARRAY system. Western blot was performed to assess protein expression levels. Target genes were identified based on the methylation degree in the promoter region and protein expression. Enrichment analysis of signaling pathways was conducted to identify relevant target genes and obtain a multiple signaling pathway network associated with obesity. Core and terminal effector molecules in the pathway networks were selected as research targets for reverse transcription-polymerase chain reaction (RT-PCR) analysis.
Results:
Four genes (Adra2b, Creb1, Itgad, and Pik3cd) showed a degree of promoter methylation consistent with their respective protein expression levels. Among them, Adra2b, Creb1, and Pik3cd expression increased, while that of Itgad decreased. Enrichment analysis revealed that Creb1 and Pik3cd were involved in 6 signaling pathways related to obesity: tumor necrosis factor (TNF) signaling pathway, growth hormone synthesis/secretion and action, adenosine 5′-monophosphate-activated protein kinase (AMPK) signaling pathway, relaxin signaling pathway, cyclic nucleotide (cAMP) signaling pathway, and phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt) signaling pathway. Subsequently, a multiple signaling pathways network was constructed based on promoter methylation. Key molecules including protein kinase B (AKT), mechanistic target of rapamycin complex 1 (mTORC1), and unc-51 like autophagy activating kinase 1 (ULK1), as well as terminal effector molecules interleukin-1β (IL-1β), interleukin-6 (IL-6), and chemokine (C-X-C motif) ligand 2 (CXCL2) were selected as research targets. Wendan decoction decreased the expressions of AKT, mTORC1, IL-1β, IL-6, and CXCL2 while up-regulating ULK1 expression.
Conclusion
The mechanism of Wendan decoction in preventing obesity involves the regulation of multiple signaling pathways through the control of Creb1 and Pik3cd gene promoter methylation. However, the associated multi-path gene regulation mechanism in preventing obesity is complex. Thus, further exploration is needed to elucidate the role of methylation changes in this mechanism.
10.The establishment of the drug-resistant Candida albicans disseminated infected mice model
Hang LI ; Baoyong GONG ; Yinzhu LUO ; Yue WU ; Meiling CHEN ; Rui CHEN ; Xiaolin LIU ; Hui WANG ; Ren HUANG ; Yu ZHANG
Chinese Journal of Comparative Medicine 2016;26(9):25-29
Objective Establishing the drug?resistant Candida albicans disseminative infected mice model for new drug screening. Methods The disseminative infected mouse model was generated by intravenously injecting a clinical Drug?resistant Candida albicans strain ( CaR) to immunosuppressive ICR mice. The features of model was evaluated by clinical symptom, survival condition, fungal burden in tissue, histopathology, cytokines assay and medication. Results After infected with CaR (0 day), the death of mice started at the first day, though, compared to clinical drug sensitive strain ( CaS) infected group, the difference of mortality rate in 16?day observation period was not significant in two groups (CaR, 90?7%;CaS, 86?2%, P =0?158), mice in CaR group died faster than those in CaS group at the early stage;On the fourth day of infection, Candida albicans could be detected in the different tissues, and we found fungal burden in kidney and brain was a significant difference. The typical granuloma caused by fungal infection was the main histopathological feature observed in the kidney, brain and heart. Cytokines in renal tissue were detected by flow cytometry, The changes of IL?1α,IL?6,TNF?αand IFN?γin kidney were significant. Compared with CaS group, IL?1 and IFN?γ were significantly higher and TNF?αdecreased significantly in CaR group. The mice of groups CaR and CaS were treated with 10 mg/kg fluconazole, the mortality rates were 83?3% and 37?5%, which have a significant difference. Conclusions In this study, we successfully established a drug?resistant Candida albicans disseminative infected mice model which is potential tool for the development of new anti?infectious agent.