1.Cloning and interacted protein identification of AP1  homologous gene from Lonicera macranthoides 
		                			
		                			Ya-xin YU ; Li-jun LONG ; Chang-zhu LI ; Hui-jie ZENG ; Zhong-quan QIAO ; Si-si LIU ; Ying-zi MA
Acta Pharmaceutica Sinica 2024;59(10):2880-2888
		                        		
		                        			
		                        			 The 
		                        		
		                        	
2.Effect of knockdown of ARHGAP30 on proliferation and apoptosis of Siha cells
Ya-Ting PENG ; Duan LIU ; Jie MENG ; Wen-Chao LI ; Hui-Qi LI ; Hua GUO ; Mei-Lan NIU ; Qiao-Hong QIN
Chinese Pharmacological Bulletin 2024;40(5):847-853
		                        		
		                        			
		                        			Aim To investigate the changes in the proliferation and apoptosis of Siha cells after knocking down Rho GTPase-activating protein 30(ARHGAP30).Methods After designing specific shARHGAP30 primers and connecting them to the pLKO.1 vector,we transformed them into Escherichia coli competent cells,then co-transfecting them with lentiviral helper plasmids into HEK-293T cells.We collected and filtered cell supernatant to obtain the vi-rus to infect Siha cells.RT-qPCR and Western blot were used to detect knockdown efficiency,as well as changes in the expression of Bax and Bcl-2 after trans-fection.The CCK-8 method was employed to measure the proliferation level of cells after knockdown.Results After successful construction of a lentiviral plasmid with knockdown of the ARHGAP30 gene and establish-ment of stably transfected Siha cells,ARHGAP30 tran-scription and translation(P<0.01)in Siha cells de-creased,Bax/Bcl-2 significantly decreased(P<0.01),indicating decreased apoptosis and increased cell proliferation(P<0.01).Conclusions This study suggests the involvement of ARHGAP30 in the proliferation and apoptosis of Siha cells,and regulating the ARHGAP30 gene may interfere with the occurrence and development of cervical cancer.
		                        		
		                        		
		                        		
		                        	
3.Bone Metabolism of Multiple Myeloma Bone Disease Patients with Different Blood Separation Results
Ze-Wen FAN ; Na-Li CHU ; Shi YAN ; Jian-Qi QIAO ; Qiao-Ya YU ; Jing-Yu ZHANG
Journal of Experimental Hematology 2024;32(3):799-804
		                        		
		                        			
		                        			Objective:To investigate the clinical significance of bone metabolic indexes for disease assessment and curative effect monitoring in multiple myeloma(MM)bone disease(MBD)patients with different blood separation results.Methods:A total of 134 newly diagnosed MM patients treated in Cangzhou Hospital of Integrated TCM-WM-Hebei were enrolled and divided into control group[119 cases,serum,colloid and red blood cell(RBC)from top to bottom of sample]and abnormal group(15 cases,serum,mixed layer of RBC and serum,colloid and RBC from top to bottom of sample)according to the results of blood separation.According to the imaging findings,MBD was classified into grade 0-4,grade 0-2 was mild,and grade 3-4 was severe.The MBD grade of patients in the two groups was analyzed.The curative effect of MBD patients after chemotherapy and the changes of blood separation results and bone metabolic indexes before and after treatment were evaluated.The correlation between β 2-microglobulin(MG)and bone metabolic indexes was analyzed by Pearson correlation analysis.Results:In the control group,there were 69 cases of grade 0-2 and 50 cases of grade 3-4,while in the abnormal group,there were 5 cases of grade 0-2 and 10 cases of grade 3-4,the difference was statistically significant(P<0.05).The serum β 2-MG,β-CTX levels in abnormal group were both significantly higher than those in control group,while the levels of P1NP and osteocalcin(OC)were significantly lower(all P<0.001).In the control group,there were 95 patients with ≥ partial response(PR)and the blood separation results were not changed,while 24 patients with<PR and 5 of them had abnormal blood separation results.In the abnormal group,9 patients with efficacy≥PR showed normal blood separation results,while 6 patients with efficacy<PR and 5 of them still remained abnormal blood separation results.Compared with before treatment,β-CTX and β 2-MG of patients with efficacy ≥ PR were significantly decreased but P1NP and OC increased in the control group(all P<0.00 1),which was the same as abnoraml group(both P<0.001,P<0.01).There were no significant changes in the levels of all indexes in the two groups of patients with efficacy<PR(P>0.05).Compared with before treatment,the levels of β-CTX and β 2-MG in the control group with unchanged blood separation results were significantly decreased(both P<0.00l),while the levels of P1NP and OC were significantly increased(P<0.01,P<0.001),and the level of each index in the patients transformed to abnormal blood separation result after treatment did not significantly change(P>0.05);the levels of β-CTX and β 2-MG in the abnormal group transformed to normal blood separation result were significantly decreased(both P<0.01),while the levels of P1NP and OC were significantly increased(P<0.001,P<0.01),and the level of each index in patients with unchanged blood separation results did not significantly change(P>0.05).Pearson correlation analysis showed that serumβ 2-MG was positively correlated with β-CTX(r=0.709,P<0.001),and negatively correlated with P1NP and OC(r=-0.410,r=-0.412,both P<0.001).Conclusion:MBD patients with abnormal blood separation results have higher bone disease grade and poor prognosis,which is closely related to the significant increase of bone resorption index β-CTX level and decrease of bone formation index P1NP and OC levels,leading to more serious bone metabolic homeostasis disorder.The results of blood separation combined with the changes of bone metabolic indexes can be used as one of the comprehensive predictors of disease condition,efficacy monitoring and prognosis evaluation of MBD patients.
		                        		
		                        		
		                        		
		                        	
4.Etiology,Clinical Characteristics and Prognosis of Secondary Hemophagocytic Syndrome
Ya-Li ZHANG ; Jing-Nan HAO ; Meng-Meng SUN ; Xiao-Ying XING ; Shu-Kai QIAO
Journal of Experimental Hematology 2024;32(4):1230-1237
		                        		
		                        			
		                        			Objective:To understand the etiology,clinical characteristics and prognosis of secondary hemophagocytic syndrome(HLH),so as to improve the understanding of HLH and reduce the rates of misdiagnosis and missed diagnosis of HLH.Methods:A retrospective study was conducted to analyze the cause,clinical characteristics,laboratory findings,therapy and outcomes of 75 adult patients with secondary HLH admitted to our hospital from January 2015 to December 2021.Follow-up continued until the last discharge time.Results:Among 75 patients,infection-related HLH was the most common(45.33%),followed by lymphoma-related HLH(17.33%).Fever was the most common clinical manifestation(97.67%).Laboratory indicators such as NK cell activity(98.31%low or absent),sCD25(93.22%increased),and serum ferritin(94.44%elevated)had higher sensitivity in diagnosis.By comparing the clinical manifestations and laboratory indicators of HLH patients with different causes,sex,lymph node enlargement and bone marrow morphology were more valuable for the diagnosis of primary disease(all P<0.05).By comparing the treatment and clinical outcomes of HLH patients with different causes,the highest clinical remission rate(83.3%)was achieved in patients with autoimmune disease-related HLH treated with hormone+cyclosporine(P<0.05).The overall 12-month survival rate of all patients was 26.7%,in which the infection-related HLH was the lowest(14.7%)while autoimmune disease-related HLH was the highest(63.6%).Conclusion:The causes and clinical characteristics of adult secondary HLH are varied,with poor prognosis and heterogeneity in disease severity.It is important to identify HLH cause early for diagnosis and needed to further understand HLH.
		                        		
		                        		
		                        		
		                        	
5.Chemical constituents from Solanum lyratum and their anti-tumor activities
Lin-Guo ZHANG ; Fu-An WANG ; Man-Hua QIAO ; Li-Ya HAO ; Li LIU
Chinese Traditional Patent Medicine 2024;46(7):2252-2258
		                        		
		                        			
		                        			AIM To study the chemical constituents from Solanum lyratum Thunb.and their anti-tumor activities.METHODS The extract from S.lyratum was isolated and purified by silica gel column chromatography and Sephadex LH-20,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The anti-tumor activities were determined by MTT mothod.RESULTS Twenty-one compounds were isolated and identified as royleanone(1),dinbutyl phthalate(2),dipentyl phthalate(3),sativan(4),2′,4′-dihydroxy-chalcone(5),isopetasin(6),balanophonin(7),10-eicosenoic acid(8),4,6,7-trimethoxy-5-methyl-coumarin(9),hydroxydihydrobovolide(10),axillarin(11),xanthocyanin(12),magnoflorine(13),verlinic acid(14),apigenin(15),luteolin(16),7-ketositosterol(17),pinoresinol(18),bavachinine(19),bisbenzopyran(20),isotachioside(21).The IC50 values of compounds 6-7,11 and 18-19 ranged from(28.37±3.71)to(73.26±8.61)μmol/L.CONCLUSION All the compounds are first isolated from this plant.Compounds 6-7,11 and 18-19 have certain anti-tumor activities.
		                        		
		                        		
		                        		
		                        	
6.Remifentanil Down-regulates GIRK2 Expression in Rat Dorsal Root Ganglion and Spinal Dorsal Horn
Guo-ya LUO ; Xiao-e WANG ; Lin-zhi LI ; Wen-hui WANG ; Qiao-rui YANG ; Yuan CHEN ; Li XIAO ; Yu CUI
Journal of Sun Yat-sen University(Medical Sciences) 2023;44(3):361-368
		                        		
		                        			
		                        			ObjectiveTo observe the changes in the expression and distribution of G protein-gated inwardly rectifying potassium channel subunit 2 (GIRK2) in the dorsal root ganglion (DRG) and spinal cord dorsal horn of rats with remifentanil-induced hyperalgesia. MethodsHyperalgesia was induced by intravenous infusion of remifentanil 4 μg/kg/min for 2 h in adult male SD rats. At 6th hour and on days 1, 3 and 5 following remifentanil treatment, we used immunofluorescence to examine the changes in the GIRK2 distribution and expression. Immunoblotting was used to detect GIRK2 expression of the total protein and membrane protein in DRG and spinal dorsal horn of rats. Behavioral testing was applied to evaluate the effect of intrathecal injection of GIRK2-specific agonist ML297 on thermal nociceptive threshold on day 1 after remifentanil infusion. Resultsmmunofluorescence results showed that GIRK2 was mainly co-localized with IB4-positive small neurons in DRG and nerve fibers in spinal dorsal horn. GIRK2 expression was significantly downregulated following remifentanil treatment. Immunoblotting results revealed that on day 1 following intravenous infusion of remifentanil, compared with those in the control group, GIRK2 expression levels of the total protein and membrane protein in DRG (0.47 ± 0.10 vs. 1.01 ± 0.17, P < 0.001; 0.47 ± 0.11 vs. 1.06 ± 0.12, P < 0.001) and spinal dorsal horn (0.52 ± 0.09 vs. 1.10 ± 0.08, P < 0.001; 0.54 ± 0.10 vs. 1.01 ± 0.13, P < 0.001) were all significantly decreased. The behavioral results showed that intrathecal ML297 effect on thermal withdrawal latency was significantly reduced following remifentanil treatment (P < 0.001). ConclusionsRemifentanil might induce hyperalgesia via down-regulating GIRK2 expression in rat DRG and spinal cord dorsal horn. 
		                        		
		                        		
		                        		
		                        	
7.Benchmark Dose Assessment for Coke Oven Emissions-Induced Mitochondrial DNA Copy Number Damage Effects.
Zhao Fan YAN ; Zhi Guang GU ; Ya Hui FAN ; Xin Ling LI ; Ze Ming NIU ; Xiao Ran DUAN ; Ali Manthar MALLAH ; Qiao ZHANG ; Yong Li YANG ; Wu YAO ; Wei WANG
Biomedical and Environmental Sciences 2023;36(6):490-500
		                        		
		                        			OBJECTIVE:
		                        			The study aimed to estimate the benchmark dose (BMD) of coke oven emissions (COEs) exposure based on mitochondrial damage with the mitochondrial DNA copy number (mtDNAcn) as a biomarker.
		                        		
		                        			METHODS:
		                        			A total of 782 subjects were recruited, including 238 controls and 544 exposed workers. The mtDNAcn of peripheral leukocytes was detected through the real-time fluorescence-based quantitative polymerase chain reaction. Three BMD approaches were used to calculate the BMD of COEs exposure based on the mitochondrial damage and its 95% confidence lower limit (BMDL).
		                        		
		                        			RESULTS:
		                        			The mtDNAcn of the exposure group was lower than that of the control group (0.60 ± 0.29 vs. 1.03 ± 0.31; P < 0.001). A dose-response relationship was shown between the mtDNAcn damage and COEs. Using the Benchmark Dose Software, the occupational exposure limits (OELs) for COEs exposure in males was 0.00190 mg/m 3. The OELs for COEs exposure using the BBMD were 0.00170 mg/m 3 for the total population, 0.00158 mg/m 3 for males, and 0.00174 mg/m 3 for females. In possible risk obtained from animal studies (PROAST), the OELs of the total population, males, and females were 0.00184, 0.00178, and 0.00192 mg/m 3, respectively.
		                        		
		                        			CONCLUSION
		                        			Based on our conservative estimate, the BMDL of mitochondrial damage caused by COEs is 0.002 mg/m 3. This value will provide a benchmark for determining possible OELs.
		                        		
		                        		
		                        		
		                        			Male
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Animals
		                        			;
		                        		
		                        			Coke
		                        			;
		                        		
		                        			Polycyclic Aromatic Hydrocarbons
		                        			;
		                        		
		                        			DNA Copy Number Variations
		                        			;
		                        		
		                        			Benchmarking
		                        			;
		                        		
		                        			Occupational Exposure/analysis*
		                        			;
		                        		
		                        			DNA, Mitochondrial/genetics*
		                        			;
		                        		
		                        			DNA Damage
		                        			
		                        		
		                        	
8.Treatment Progress in Diminished Ovarian Reserve: Western and Chinese Medicine.
Qiao-Li ZHANG ; Ya-Ling LEI ; Yan DENG ; Rui-Lin MA ; Xue-Song DING ; Wei XUE ; Ai-Jun SUN
Chinese journal of integrative medicine 2023;29(4):361-367
		                        		
		                        			
		                        			Diminished ovarian reserve (DOR), generally defined as a decreased number or quality of oocytes, has a significant impact on quality of life and fertility in women. In recent years, the incidence of DOR has been increasing and the ages of patients are younger. The search for an effective DOR treatment has emerged as one of the preeminent research topics in reproductive health. An effective DOR therapy would improve ovarian function, fertility, and quality of life in patients. In this review we evaluated DOR treatment progress both in Western medicine and Chinese medicine, and elucidated the characteristics of each treatment.
		                        		
		                        		
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Medicine, Chinese Traditional
		                        			;
		                        		
		                        			Ovarian Reserve
		                        			;
		                        		
		                        			Quality of Life
		                        			;
		                        		
		                        			Oocytes
		                        			;
		                        		
		                        			Treatment Outcome
		                        			;
		                        		
		                        			Infertility, Female/therapy*
		                        			
		                        		
		                        	
9.Progress in research of long-term protective efficacy of human papillomavirus vaccine.
Xin Hua JIA ; Xue Feng KUANG ; Ya Han CHEN ; Yu Fei LI ; Zhao Feng BI ; Ting WU ; You Lin QIAO
Chinese Journal of Epidemiology 2023;44(5):851-854
		                        		
		                        			
		                        			The efficacy of HPV vaccine in preventing cervical cancer has been demonstrated in numerous clinical trials and clinical uses. The follow-up after clinical trials usually last for 5-6 years to evaluate the long-term efficacy, and a series of long-term follow-up studies have been conducted in some regions. The literature retrieval of HPV vaccine long term efficiency research both at home and abroad indicated that the protective efficacy of the vaccine against vaccine-type-related cervical intraepithelial neoplasia grade 2 and above is higher than 90%.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Human Papillomavirus Viruses
		                        			;
		                        		
		                        			Biomedical Research
		                        			;
		                        		
		                        			Papillomavirus Vaccines
		                        			
		                        		
		                        	
10.Research on multi-class orthodontic image recognition system based on deep learning network model.
Shao Feng WANG ; Xian Ju XIE ; Li ZHANG ; Qiao CHANG ; Fei Fei ZUO ; Ya Jie WANG ; Yu Xing BAI
Chinese Journal of Stomatology 2023;58(6):561-568
		                        		
		                        			
		                        			Objective: To develop a multi-classification orthodontic image recognition system using the SqueezeNet deep learning model for automatic classification of orthodontic image data. Methods: A total of 35 000 clinical orthodontic images were collected in the Department of Orthodontics, Capital Medical University School of Stomatology, from October to November 2020 and June to July 2021. The images were from 490 orthodontic patients with a male-to-female ratio of 49∶51 and the age range of 4 to 45 years. After data cleaning based on inclusion and exclusion criteria, the final image dataset included 17 453 face images (frontal, smiling, 90° right, 90° left, 45° right, and 45° left), 8 026 intraoral images [frontal occlusion, right occlusion, left occlusion, upper occlusal view (original and flipped), lower occlusal view (original and flipped) and coverage of occlusal relationship], 4 115 X-ray images [lateral skull X-ray from the left side, lateral skull X-ray from the right side, frontal skull X-ray, cone-beam CT (CBCT), and wrist bone X-ray] and 684 other non-orthodontic images. A labeling team composed of orthodontic doctoral students, associate professors, and professors used image labeling tools to classify the orthodontic images into 20 categories, including 6 face image categories, 8 intraoral image categories, 5 X-ray image categories, and other images. The data for each label were randomly divided into training, validation, and testing sets in an 8∶1∶1 ratio using the random function in the Python programming language. The improved SqueezeNet deep learning model was used for training, and 13 000 natural images from the ImageNet open-source dataset were used as additional non-orthodontic images for algorithm optimization of anomaly data processing. A multi-classification orthodontic image recognition system based on deep learning models was constructed. The accuracy of the orthodontic image classification was evaluated using precision, recall, F1 score, and confusion matrix based on the prediction results of the test set. The reliability of the model's image classification judgment logic was verified using the gradient-weighted class activation mapping (Grad-CAM) method to generate heat maps. Results: After data cleaning and labeling, a total of 30 278 orthodontic images were included in the dataset. The test set classification results showed that the precision, recall, and F1 scores of most classification labels were 100%, with only 5 misclassified images out of 3 047, resulting in a system accuracy of 99.84%(3 042/3 047). The precision of anomaly data processing was 100% (10 500/10 500). The heat map showed that the judgment basis of the SqueezeNet deep learning model in the image classification process was basically consistent with that of humans. Conclusions: This study developed a multi-classification orthodontic image recognition system for automatic classification of 20 types of orthodontic images based on the improved SqueezeNet deep learning model. The system exhibitted good accuracy in orthodontic image classification.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Child, Preschool
		                        			;
		                        		
		                        			Child
		                        			;
		                        		
		                        			Adolescent
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		                        			Young Adult
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		                        			Adult
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		                        			Middle Aged
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		                        			Deep Learning
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		                        			Reproducibility of Results
		                        			;
		                        		
		                        			Radiography
		                        			;
		                        		
		                        			Algorithms
		                        			;
		                        		
		                        			Cone-Beam Computed Tomography
		                        			
		                        		
		                        	
            
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