1.Insulin resistance in non-obese adolescents with family history of type 2 diabetes
Chunming MA ; Hong ZHANG ; Qiang LU ; Shuyi WANG ; Donghui LOU ; Bowei LIU ; Rui WANG ; Guangfei WU ; Gailing HAN ; Xiaoli LIU ; Fuzai YIN
Chinese Journal of Endocrinology and Metabolism 2009;25(4):394-396
accumulation and endothelial dysfunction are associated with insulin resistance.
2.Relationship between obesity and serum soluble intercellular adhesion molecule-1 in adolescents
Chunming MA ; Hong ZHANG ; Qiang LU ; Shuyi WANG ; Fuzai YIN ; Bowei LIU ; Donghui LOU ; Xiaoli LIU ; Rui WANG ; Guangfei WU ; Gailing HAN
Chinese Journal of General Practitioners 2009;8(3):167-169
Objective To evaluate the relationship between obesity and serum soluble intercellular adhesion molectde-1 (sICAM-1) in adolescents. Methods Totally, 158 adolescents aged 13-15 years were divided into three groups based on their body mass index (BMI) , 80 in control group, 44 in overweight group and 34 in obesity group. Height, weight, waist circumference (WC) and blood pressure were measured for all of them and sICAM-1 was assayed from fasting venous blood collected. Results BMI, WC and systolic blood pressure were significantly higher in overweight group than those in control group (P < 0. 01). BMI, WC, systolic blood pressure and diastolic blood pressure were significantly higher in obesity group than those in overweight group (P<0. 05). Level of sICAM-1 was significantly higher in obesity group than that in control group (P <0.05). Their sICAM-1 showed positive correlation with BMI (r = 0.168, P=0.035) and WC (r=0. 179, P =0.025). Multiple linear regression analysis using sICAM-1 as a dependent variable showed that WC (β= 0.009, 95% CI 0. 001-0.018, P=0.025) was an independent predictors for sICAM-1 adjusted for age, sex, BMI and blood pressure. Conclusions Results mentioned above suggest that endothelial dysfunction associates with obesity, particularly with abdominal obesity. sICAM-1 can be used as an early marker of atherosclerosis in adolescents.
3.Responses of physiological ecology and quality evaluation of Rehmannia gltinosa in continuous cropping.
Zhongyi ZHANG ; Gailing LI ; Miaomiao NIU ; Huamin FAN ; Juan LI ; Wenxiong LIN
China Journal of Chinese Materia Medica 2011;36(9):1133-1136
OBJECTIVETo study responses of physiological ecology and quality evaluation of Rehmannia glutinosa in continuous cropping.
METHODThe potted plant R. glutinosa which consists of first cropping, 1 year continuous cropping and 2 year continuous cropping were used as experimental materials. The photosynthetic activity, descending axis vitality, the protective enzymes system and MDA content were measured, the quality was evaluated by FTIR and HPLC.
RESULTContinuous cropping reduced the content of chlorophyll in the non-first cropping R. glutinos, the photosynthetic activity and descending axis vitality were weakened. Because of the increase of the free radical in the R. glutinos due to the continuous cropping, the activity of protective enzymes including POD, SOD and CAT were enhanced and MDA content were increased, more importantly the medical potency declined . And along with the increasing years of the continuous cropping, this effect becomes even stronger.
CONCLUSIONContinuous cropping affects the descending axis ability of absorbing water and nutrition and photosynthesis are inhibited R. glutinosa, at the same time, it also causes the disorders of antioxidation systems in R. glutinos, resulting in continuous cropping obstacle and decline of the medicinal materials quality.
Antioxidants ; metabolism ; Ecology ; Photosynthesis ; physiology ; Rehmannia ; enzymology ; growth & development ; metabolism ; physiology ; Superoxide Dismutase ; metabolism
4.Significance of multicolor flow cytometry in the detection of minimal residual disease in monitoring CD19-CAR-T cell bridging allo-HSCT treatment of B-ALL patients
Man CHEN ; Wei ZHAO ; Minjing FU ; Aixian WANG ; Gailing ZHANG ; Liyuan QIU ; Rong WANG ; Yanli ZHAO ; Xuan ZHANG ; Hui WANG
Chinese Journal of Laboratory Medicine 2022;45(8):813-819
Objective:To investigate the significance of multicolor flow cytometry (MFC) monitoring of minimal residual disease (MRD) in the course of allogeneic hematopoietic stem cell transplantation (allo-HSCT) after CD19-chimeric antigen receptor(CAR)-T cell immunotherapy for patients with refractory, relapsed B-cell acute lymphoblastic leukemia (r/r B-ALL).Methods:37 patients with r/r B-ALL admitted to Hebei Yanda Lu Daopei Hospital from January to July 2019, aged 15 (6, 19) years old, including 24 males and 13 females, were treated with CD19-CAR-T cell immunotherapy bridging allo-HSCT. MFC with cytoplasmic CD79a antibody to set up B-cell gates was used to monitor patients′ bone marrow (BM), cerebrospinal fluid (CSF), and tissue samples on day 0 (prior to the CAR-T cell immunotherapy), day 15, day 28 post CAR-T cell immunotherapy, and post transplantation.The MRD values of these samples were analyzed to evaluate the residual tumor cells and metastasis. The killing effect of the CAR-T cells was evaluated by the recovery of CD19+B cells before transplantation and the period between the timepoint when CD19+B cells was recovered and the timepoint when CAR-T cells were infused. Peripheral blood CAR-T cells were counted at different time points. Statistic analysis was performed by Kaplan-Meie assay and Log-rank test to analyze the difference of univariate cumulative survival.Results:(1)Among the 37 patients, 8 died and 29 survived. 5 patients relapsed after transplantation, of which 4 relapsed patients died and 1 survived. (2)MFC MRD negative remission rate of the death group was lower than that of the survival group at the following time points: post-CAR-T therapy and prior to transplantation (5/8 vs. 28/29, χ 2=7.540, P=0.006); day 15 of the CAR-T cell reinfusion (3/8 vs. 24/29, χ 2=6.512, P=0.011); day 28 of the reinfusion (3/8 vs. 276/29, χ 2=10.065, P=0.002). The probability of extramedullary MFC MRD positive tumor infiltration in the death group was higher than that in the survival group(7/8 vs. 14/29, χ 2=3.931, P=0.047). After CAR-T cell immunotherapy, the recovery period of CD19-positive cells in the death group, or the time for CAR-T cells to kill CD19-positive cells, was shorter than that in the survival group [42.00 days(30.00,49.00) vs. 55.00 days(41.50,73.50), Z=0.022, P=0.020]. Conclusion:The positive results of MRD by MFC at the following timepoints may predict unfavorable outcomes, such as post-CAR-T therapy and prior to transplantation, day 15 and 28 of the CAR-T cell immunotherapy, which may provide some guidance for clinical management.
5.Study on the relationship between serum cytokines levels after chimeric antigen receptor (CAR)-T cell immunotherapy and the prognosis of bridged allogeneic hematopoietic stem cell transplantation in acute B lymphoblastic leukemia patients
Xiaoqi OU ; Man CHEN ; Wei ZHAO ; Gailing ZHANG ; Minjing FU ; Dongchu WANG ; Liyuan QIU ; Rong WANG ; Nenggang JIANG ; Jiwen FAN ; Xian ZHANG ; Yi LI ; Hui WANG
Chinese Journal of Laboratory Medicine 2023;46(5):493-500
Objective:To investigate the relationship between the levels of serum cytokines and chemokines and the prognosis of patients with acute B-ALL after receiving chimeric antigen receptor (CAR)-T cell immunotherapy and acute graft-versus-host disease (aGVHD) in patients after bridging allogeneic hematopoietic stem cell transplantation (allo-HSCT).Methods:According to the case-control principle, Forty-two patients with B-ALL who received CD19-CAR-T cell immunotherapy bridged to allo-HSCT at Heibei Yanda Ludaopei Hospital from September 18, 2019 to May 9, 2022 were enrolled. Mann-Whitney U test was used to compare the changes of aGVHD-related cytokines and chemokine levels between CAR-T cell immunotherapy and bridging transplantation in different patients at the same time. Their plasma levels of cytokines and chemokines related to aGVHD were monitored at the day before CAR-T therapy and after CAR-T treatment at day 4, 7,14,21,28. The receiver operating characteristic curve was drawn to evaluate the predictive value of cytokines and chemokines in predicting the occurrence and the death of aGVHD patients. Kaplan-Meier method and Log-rank tests were used for Overall survival (OS) analysis. Results:Twenty-four of total 42 patients had aGVHD, of which 11 patients died and 31 patients survived. There was no significant difference in cytokines and chemokines between the aGVHD group and the non-aGVHD group on the day before CAR-T cell treatment. According to statistical analysis, the serum Elafin levels of aGVHD group was higher than that of non-aGVHD group at the 21st day [4 482 (2 811, 6 061) ng/L vs 2 466 (1 948, 3 375) ng/L, Z=3.145, P=0.001] and the 28st day [4 391 (2 808, 5594) ng/L vs 2 463 (1 658, 2 830) ng/L, Z=2.038, P=0.048] separately. At the 14th day, serum cytokines and chemokines levels between the two group were as follows,MIP-1 α [21.02 (12.36, 30.35) ng/L vs 5.56 (3.64, 10.79) ng/L], sCD25 [422.47 (257.99, 1 233.78) IU/ml vs 216.11 (133.75,457.39) IU/ml], Elafin [4 101 (2 393, 5 006) ng/L vs 2 155 (1 781, 3 033) ng/L], IL-6 [119.08 (23.97, 183.43) ng/L vs 8.39 (2.91, 17.42) ng/L] and IL-8 [13.56 (12.50, 24.52) ng/L vs 2.83 (1.73,6.87) ng/L] were at higher levels ( Z=2.653, P=0.007; Z=2.176, P=0. 030; Z=2.058, P=0.041; Z=3.329, P<0.001; Z=3.162, P=0.001). The KM survival curve showed that the cumulative survival rates of patients with higher serum levels of MIP-1α, sCD25, Elafin, IL-6 and IL-8 were lower than those with low levels at day 14, and the difference was statistically significant (χ 2=12.353, 4.890, 6.551, 10.563, 20.755, P<0.05). Conclusion:The outcomes of patients treated with CAR-T cell therapy bridged to allo-HSCT was correlated with serum MIP-1α, sCD25, Elafin, IL-6 and IL-8 levels after receiving CAR-T therapy. High concentrations of MIP-1α, sCD25, Elafin, IL-6 and IL-8 suggest poor prognosis and can be used as biomarkers to suggest appropriate clinical selection of therapy.
6. General considerations of model-based meta-analysis
Lujin LI ; Junjie DING ; Dongyang LIU ; Xipei WANG ; Chenhui DENG ; Shangmin JI ; Wenjun CHEN ; Guangli MA ; Kun WANG ; Yucheng SHENG ; Ling XU ; Qi PEI ; Yuancheng CHEN ; Rui CHEN ; Jun SHI ; Gailing LI ; Yaning WANG ; Yuzhu WANG ; Haitang XIE ; Tianyan ZHOU ; Yi FANG ; Jing ZHANG ; Zheng JIAO ; Bei HU ; Qingshan ZHENG
Chinese Journal of Clinical Pharmacology and Therapeutics 2020;25(11):1250-1267
With the increasing cost of drug development and clinical trials, it is of great value to make full use of all kinds of data to improve the efficiency of drug development and to provide valid information for medication guidelines. Model-based meta-analysis (MBMA) combines mathematical models with meta-analysis to integrate information from multiple sources (preclinical and clinical data, etc.) and multiple dimensions (targets/mechanisms, pharmacokinetics/pharmacodynamics, diseases/indications, populations, regimens, biomarkers/efficacy/safety, etc.), which not only provides decision-making for all key points of drug development, but also provides effective information for rational drug use and cost-effectiveness analysis. The classical meta-analysis requires high homogeneity of the data, while MBMA can combine and analyze the heterogeneous data of different doses, different time courses, and different populations through modeling, so as to quantify the dose-effect relationship, time-effect relationship, and the relevant impact factors, and thus the efficacy or safety features at the level of dose, time and covariable that have not been involved in previous studies. Although the modeling and simulation methods of MBMA are similar to population pharmacokinetics/pharmacodynamics (Pop PK/PD), compared with Pop PK/PD, the advantage of MBMA is that it can make full use of literature data, which not only improves the strength of evidence, but also can answer the questions that have not been proved or can not be answered by a single study. At present, MBMA has become one of the important methods in the strategy of model-informed drug development (MIDD). This paper will focus on the application value, data analysis plan, data acquisition and processing, data analysis and reporting of MBMA, in order to provide reference for the application of MBMA in drug development and clinical practice.