Objective:To construct a novel dual-specific antibody targeting human CD123 (CD123 DuAb) and study its effects in acute myeloid leukemia (AML) .Methods:Based on the variable region of the CD123 monoclonal antibody independently developed at our institution, the CD123 DuAb expression plasmid was constructed by molecular cloning and transfected into ExpiCHO-S cells to prepare the antibody protein. Through a series of in vitro experiments, its activation and proliferation effect on T cells, as well as the effect of promoting T-cell killing of AML cells, were verified.Results:① A novel CD123 DuAb plasmid targeting CD123 was successfully constructed and expressed in the Expi-CHO eukaryotic system. ②The CD123 DuAb could bind both CD3 on T cells and CD123 on CD123 + tumor cells. ③When T cells were co-cultured with MV4-11 cells with addition of the CD123 DuAb at a concentration of 1 nmol/L, the positive expression rates of CD69 and CD25 on T cells were 68.0% and 44.3%, respectively, which were significantly higher than those of the control group ( P<0.05). ④Co-culture with CD123 DuAb at 1 nmol/L promoted T-cell proliferation, and the absolute T-cell count increased from 5×10 5/ml to 3.2×10 6/ml on day 9, and CFSE fluorescence intensity decreased significantly. ⑤ With the increase in CD123 DuAb concentration in the culture system, T-cell exhaustion and apoptosis increased. When the CD123 DuAb was added at a concentration of 1 nmol/L to the culture system, the proportion of CD8 + PD-1 + LAG-3 + T cells was 10.90%, and the proportion of propidium iodide (PI) - Annexin Ⅴ + T cells and PI + Annexin Ⅴ + T cells was 18.27% and 11.43%, respectively, which were significantly higher than those in the control group ( P<0.05). ⑥ The CD123 DuAb significantly activated T cells, and the activation intensity was positively correlated with its concentration. The expression rate of CD107a on T cells reached 16.05% with 1 nmol/L CD123 DuAb, which was significantly higher than that of the control group ( P<0.05). ⑦The CD123 DuAb promoted cytokine secretion by T cells at a concentration of 1 nmol/L, and the concentration of IFN-γ and TNF-α in the supernatant of the co-culture system reached 193.8 pg/ml and 169.8 pg/ml, respectively, which was significantly higher than that of the control group ( P<0.05). ⑧When CD123 DuAb was added at a concentration of 1 nmol/L to the co-culture system of T cells and CD123 + tumor cells, the killing intensity of T cells significantly increased, and the residual rates of CD123 + MV4-11 cells, CD123 + Molm13 cells, and CD123 + THP-1 cells were 7.4%, 6.7%, and 14.6% on day 3, respectively, which were significantly lower than those in the control group ( P<0.05) . Conclusion:In this study, a novel CD123 DuAb was constructed and expressed. In vitro experiments verified that the DuAb binds to CD123 + tumor cells and T cells simultaneously, promotes T-cell activation and proliferation, and facilitates their anti-leukemia effect, which provides a basis for further clinical research.

Objective:To evaluate the efficacy and safety of hypomethylating agents (HMA) in patients with myelodysplastic syndromes (MDS) .Methods:A total of 409 MDS patients from 45 hospitals in Zhejiang province who received at least four consecutive cycles of HMA monotherapy as initial therapy were enrolled to evaluate the efficacy and safety of HMA. Mann-Whitney U or Chi-square tests were used to compare the differences in the clinical data. Logistic regression and Cox regression were used to analyze the factors affecting efficacy and survival. Kaplan-Meier was used for survival analysis. Results:Patients received HMA treatment for a median of 6 cycles (range, 4-25 cycles) . The complete remission (CR) rate was 33.98% and the overall response rate (ORR) was 77.02%. Multivariate analysis revealed that complex karyotype ( P=0.02, OR=0.39, 95% CI 0.18-0.84) was an independent favorable factor for CR rate. TP53 mutation ( P=0.02, OR=0.22, 95% CI 0.06-0.77) was a predictive factor for a higher ORR. The median OS for the HMA-treated patients was 25.67 (95% CI 21.14-30.19) months. HMA response ( P=0.036, HR=0.47, 95% CI 0.23-0.95) was an independent favorable prognostic factor, whereas complex karyotype ( P=0.024, HR=2.14, 95% CI 1.10-4.15) , leukemia transformation ( P<0.001, HR=2.839, 95% CI 1.64-4.92) , and TP53 mutation ( P=0.012, HR=2.19, 95% CI 1.19-4.07) were independent adverse prognostic factors. There was no significant difference in efficacy and survival between the reduced and standard doses of HMA. The CR rate and ORR of MDS patients treated with decitabine and azacitidine were not significantly different. The median OS of patients treated with decitabine was longer compared with that of patients treated with azacitidine (29.53 months vs 20.17 months, P=0.007) . The incidence of bone marrow suppression and pneumonia in the decitabine group was higher compared with that in the azacitidine group. Conclusion:Continuous and regular use of appropriate doses of hypomethylating agents may benefit MDS patients to the greatest extent if it is tolerated.

Objective To investigate the correlations of serum Apelin-13 and fatty acid binding protein 4 (FABP4) levels with metabolic and bone metabolic indicators in postmenopausal women with different bone mass. Methods A total of 145 postmenopausal women were selected as subjects and divided into three groups based on bone mineral density (BMD) test results: normal bone mass group(49 cases), osteopenia (ON) group(51 cases), and osteoporosis (OP) group(45 cases). Serum Apelin-13, FABP4 levels, bone metabolic indicators, and biochemical indicators were measured and compared among the three groups. Spearman correlation analysis was used to analyze the correlations of Apelin-13, FABP4, and other indicators with BMD. Multivariate Logistic regression analysis was performed to analyze the risk factors for OP, and the receiver operating characteristic (ROC) curve was plotted to analyze the predictive value of serum Apelin-13 for postmenopausal osteoporosis (PMOP). Results The serum Apelin-13 level in the OP group was lower than that in the ON group and the normal bone mass group (P < 0.05). No significant difference in serum FABP4 levels was found among the three groups (P>0.05). The levels of serum parathyroid hormone (PTH), alkaline phosphatase (ALP), type Ⅰ procollagen amino-terminal propeptide (PⅠNP), type Ⅰ collagen cross-linked C-terminal peptide (CTXⅠ), and bone-specific alkaline phosphatase (BALP) in the OP group were higher than those in the ON group and the normal bone mass group (P < 0.05). Lumbar post-menopause BMD was positively correlated with serum Apelin-13 levels (P < 0.05), but had no correlation with serum FABP4 levels (P>0.05). Lumbar BMD was negatively correlated with serum PTH, ALP, PⅠNP, CTXⅠ, BALP, and age (P < 0.05), but positively correlated with body weight, body mass index, T-score, fasting insulin, and insulin resistance index (P < 0.05). Multivariate Logistic regression analysis showed that serum Apelin-13, PTH, ALP, PⅠNP, CTXⅠ, and BALP levels were independent factors influencing the occurrence of OP in postmenopausal women (P < 0.05). ROC curve results showed that the optimal cut-off value of serum Apelin-13 for predicting PMOP was 18.51 pg/mL, with an area under the curve of 0.716, a sensitivity of 70.0%, and a specificity of 64.4%. Conclusion Apelin-13 is lowly expressed in the serum of PMOP patients, and its expression level is closely related to lumbar BMD, which may serve as an early screening indicator and potential therapeutic target for PMOP.

Objective To investigate the serum C-type lectin domain family 4 member G(CLEC4G)level and its clinical value in patients with Atopic Dermatitis(AD).Methods The blood samples of 60 AD patients and 29 control patients were collected,and CLEC4G,Interleukin-33(IL-33),total immunoglobulin E(tIgE),specific IgE(specific IgE),and eosinophil levels were detected.The correlation between CLEC4G level and clinical data of AD patients and IL-33 was analyzed.The risk of AD was evaluated by Logistic regression analysis of CLEC4G,IL-33 and other indicators.Results Compared with the control group,the serum CLEC4G level in AD patients was significantly decreased(359.4±57.3 vs.521.8±48.1)pg/mL.There was no significant difference in CLEC4G level between child-hood,adolescent and adult,male and female AD patients.Compared with tIgE≤100 kU/L group,CLEC4G level was significantly decreased in 100～200 kU/L group and tIgE≥200 kU/L group,but there was no significant difference between 100～200 kU/L group and tIgE≥200 kU/L group.Serum CLEC4G level decreased significantly only in the moderate AD group,but had no significant difference among the other groups.The serum level of IL-33 was increased in AD patients,but there was no significant correlation between CLEC4G and IL-33(r = 0.090,P = 0.495).Age less than 14 years old and IL-33 were risk factors for the incidence of AD,with OR values of 2.756 and 1.241,95%CI of 1.076～7.060 and 1.030～1.495,respectively.CLEC4G was a protective factor for AD(OR = 0.890,95%CI:0.809～0.979).Conclusion CLEC4G may be a protective factor independent of IL-33 mediated AD pathogenesis.

Objective:To investigate the clinical characteristics of children with atopic dermatitis (AD) and the changes in serum levels of apolipoprotein A1 (Apo A1), 25-hydroxyvitamin D [25(OH)D] and eosinophil derived neurotoxin (EDN).Methods:200 children with AD treated in Zhuzhou Central Hospital from January 2016 to December 2019 were selected retrospectively as AD group and 100 healthy children as control group. The clinical characteristics of children with AD were analyzed, and the differences in serum Apo A1, 25 (OH)D and EDN levels between two groups were compared. The relationships between serum Apo A1, 25(OH)D, EDN levels and severity of AD were explored.Results:The male to female composition ratio of 200 AD patients was 1.41∶1, and the age of onset <3 months was the highest (64.50%). Inhalation allergens were detected in 118 cases (59.00%) and ingestion allergens in 82 cases (41.00%). The levels of Apo A1 and EDN in AD group were significantly higher than those in control group, while the level of 25(OH)D was significantly lower than that in control group ( P<0.05). With the aggravation of the disease, the serum Apo A1 and EDN levels in AD children increased gradually, while the serum 25(OH)D level decreased significantly (all P<0.05). Severity Scoring of Atopic Dermatitis (SCORAD) was positively correlated with Apo A1 and EDN levels ( P<0.05), and was negatively correlated with 25(OH)D level (all P<0.05). Conclusions:Apo A1, 25 (OH)D and EDN are involved in the pathogenesis of AD in children, and their serum levels are closely related to the severity of AD.

OBJECTIVE: To screen proteins interacting with ring finger protein 216(RNF216) through yeast two hybrid experiment, and further clarify the role of RNF216 in the pathogenesis of gonadotropin-releasing hormone deficiency. METHODS: A recombinant expression vector pGBKT7-RNF216 was constructed and transformed into yeast Y2HGold, which was hybridized with a human cDNA library in order to screen proteins interacting with RNF216. The interaction was verified in yeast Y2HGold. RESULTS: A recombinant expression vector pGBKT7-RNF216 was successfully constructed and expressed in yeast Y2HGold. Filamin B (FLNB) was identified by yeast two hybrid experiment, and their interaction was verified in yeast Y2HGold. CONCLUSION An interaction between FLNB and RNF216 was identified through yeast two hybrid experiment. RNF216 may affect the proliferation and migration of GnRH neurons by regulating FLNB or FLNB/FLNA heterodimers.
Gene Library ; Gonadotropin-Releasing Hormone/genetics* ; Humans ; Proteins ; Two-Hybrid System Techniques ; Ubiquitin-Protein Ligases/genetics*

Objective:To prepare a novel tri-specific T cell engager (19TriTE) targeting CD19 antigen, and to investigate its immunotherapeutic effect on CD19-positive hematological malignancies.Methods:19TriTE was constructed by molecular cloning technology and successfully expressed through the eukaryotic expressing system. The effects of 19TriTE on the proliferation and activation of T cells, as well as the specific cytotoxicity against CD19 positive tumor cell lines were verified.Results:①19TriTE expressing plasmid was constructed and successfully expressed through the eukaryotic expressing system. ②19TriTE can specifically bind to T cells and Nalm6 cells, with equilibrium dissociation constants of 19.21 nmol/L and 11.67 nmol/L, respectively. ③The expression rates of CD69 positive T cells and CD25 positive T cells were 35.4% and 49.8% respectively, when 2 nmol/L 19TriTE were added in the co-culture system, which were significantly higher than those in the control group. ④19TriTE can significantly promote the proliferation of T cells. The absolute count of T cells expanded from the initial one million to 74 million with an 74 fold increase at the concentration of 1 nmol/L on day 12. ⑤19TriTE can significantly mediate T cells killing of CD19 positive target cells in a dose-dependent manner. At the concentration of 10 nmol/L, the target cells lysis reached 50%. ⑥Degranulation experiment verified that 19TriTE can activate T cells in the presence of CD19 positive target cells, and the activation of T cells positively correlated with the dose of 19TriTE. ⑦When 19TriTE fusion protein co-cultured with T cells and target cells overexpression RFP and luciferase genes respectively, 19TriTE can notably mediate T cells killing of CD19 positive target cells through fluorescent microscope or bioluminescence imaging technology.Conclusion:In this study, we successfully constructed and expressed 19TriTE fusion protein and verified that it can effectively activate T cells and promote their proliferation in vitro. At the same time, it can bind to CD19 positive target cells and T cells, as well as enhance T cells anti-leukemia effect in vitro, providing the foundation for further clinical research.

Objective:To assess the influence of an artificial intelligence (AI) -assisted diagnosis system on the performance of endoscopists in diagnosing gastric cancer by magnifying narrow banding imaging (M-NBI).Methods:M-NBI images of early gastric cancer (EGC) and non-gastric cancer from Renmin Hospital of Wuhan University from March 2017 to January 2020 and public datasets were collected, among which 4 667 images (1 950 images of EGC and 2 717 of non-gastric cancer)were included in the training set and 1 539 images (483 images of EGC and 1 056 of non-gastric cancer) composed a test set. The model was trained using deep learning technique. One hundred M-NBI videos from Beijing Cancer Hospital and Renmin Hospital of Wuhan University between 9 June 2020 and 17 November 2020 were prospectively collected as a video test set, 38 of gastric cancer and 62 of non-gastric cancer. Four endoscopists from four other hospitals participated in the study, diagnosing the video test twice, with and without AI. The influence of the system on endoscopists′ performance was assessed.Results:Without AI assistance, accuracy, sensitivity, and specificity of endoscopists′ diagnosis of gastric cancer were 81.00%±4.30%, 71.05%±9.67%, and 87.10%±10.88%, respectively. With AI assistance, accuracy, sensitivity and specificity of diagnosis were 86.50%±2.06%, 84.87%±11.07%, and 87.50%±4.47%, respectively. Diagnostic accuracy ( P=0.302) and sensitivity ( P=0.180) of endoscopists with AI assistance were improved compared with those without. Accuracy, sensitivity and specificity of AI in identifying gastric cancer in the video test set were 88.00% (88/100), 97.37% (37/38), and 82.26% (51/62), respectively. Sensitivity of AI was higher than that of the average of endoscopists ( P=0.002). Conclusion:AI-assisted diagnosis system is an effective tool to assist diagnosis of gastric cancer in M-NBI, which can improve the diagnostic ability of endoscopists. It can also remind endoscopists of high-risk areas in real time to reduce the probability of missed diagnosis.

Entropy model is widely used in epileptic electroencephalogram (EEG) analysis, but there are few reports on how to objectively select the parameters to compute the entropy model in the analysis of resting-state functional magnetic resonance imaging (rfMRI). Therefore, an optimization algorithm to confirm the parameters in multi-scale entropy (MSE) model was proposed, and the location of epileptogenic hemisphere was taken as an example to test the optimization effect by supervised machine learning. The rfMRI data of 20 temporal lobe epilepsy (TLE) patients with hippocampal sclerosis, positive on structural magnetic resonance imaging, were divided into left and right groups. Then, the parameters in MSE model were optimized by the receiver operating characteristic curves (ROC) and area under ROC curve (AUC) values in sensitivity analysis, and the entropy value of the brain regions with statistically significant difference between the groups were taken as sensitive features to epileptogenic hemisphere lateral. The optimized entropy values of these bio-marker brain areas were considered as feature vectors input into the support vector machine (SVM). Finally, combining optimized MSE model with SVM could accurately distinguish epileptogenic hemisphere in TLE at an average accuracy rate of 95%, which was higher than the current level. The results show that the MSE model parameter optimization algorithm can accurately extract the functional imaging markers sensitive to the epileptogenic hemisphere, and achieve the purpose of objectively selecting the parameters for MSE in rfMRI, which provides the basis for the application of entropy in advanced technology detection.
Brain/diagnostic imaging* ; Brain Mapping ; Entropy ; Epilepsy, Temporal Lobe/diagnostic imaging* ; Humans ; Magnetic Resonance Imaging

Exposure to particulate matter 2.5 (PM2.5) potentially triggers airway inflammation by activating nuclear factor-κB (NF-κB). Sirtuin 2 (SIRT2) is a key modulator in inflammation. However, the function and specific mechanisms of SIRT2 in PM2.5-induced airway inflammation are largely understudied. Therefore, this work investigated the mechanisms of SIRT2 in regulating the phosphorylation and acetylation of p65 influenced by PM2.5-induced airway inflammation and bronchial hyperresponsiveness. Results revealed that PM2.5 exposure lowered the expression and activity of SIRT2 in bronchial tissues. Subsequently, SIRT2 impairment promoted the phosphorylation and acetylation of p65 and activated the NF-κB signaling pathway. The activation of p65 triggered airway inflammation, increment of mucus secretion by goblet cells, and acceleration of tracheal stenosis. Meanwhile, p65 phosphorylation and acetylation, airway inflammation, and bronchial hyperresponsiveness were deteriorated in SIRT2 knockout mice exposed to PM2.5. Triptolide (a specific p65 inhibitor) reversed p65 activation and ameliorated PM2.5-induced airway inflammation and bronchial hyperresponsiveness. Our findings provide novel insights into the molecular mechanisms underlying the toxicity of PM2.5 exposure. Triptolide inhibition of p65 phosphorylation and acetylation could be an effective therapeutic approach in averting PM2.5-induced airway inflammation and bronchial hyperresponsiveness.
Animals ; Inflammation ; Mice ; NF-kappa B/metabolism* ; Particulate Matter/toxicity* ; Signal Transduction ; Sirtuin 2/metabolism* ; Transcription Factor RelA/metabolism*