1.Expert consensus on local anesthesia application in pediatric dental therapies.
Yan WANG ; Jing ZOU ; Yang JI ; Jun WANG ; Bin XIA ; Wei ZHAO ; Li'an WU ; Guangtai SONG ; Yuan LIU ; Xu CHEN ; Jiajian SHANG ; Qin DU ; Qingyu GUO ; Beizhan JIANG ; Hongmei ZHANG ; Xianghui XING ; Yanhong LI
West China Journal of Stomatology 2025;43(4):455-461
Dental treatments for children and adolescents have unique clinical characteristics that differ from dental care for adults in terms of children's physiology, psychology, and behavior. These differences impose specific requirements on the application of local anesthesia in pediatric dental procedures. This article presents expert consensus on the principles of local anesthesia techniques in pediatric dental therapies, including the use of common anesthetic drugs and dosage control, safety and efficacy evaluation, and prevention and management of complications. The aim is to improve the safety and quality of pediatric dental treatments and offer guidance for clinical application by dentists.
Humans
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Child
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Anesthesia, Local/methods*
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Consensus
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Anesthesia, Dental/methods*
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Adolescent
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Anesthetics, Local/administration & dosage*
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Dental Care for Children
2.Analysis of disease burden and trend prediction of blindness caused by type 2 diabetes mellitus in China from 1990 to 2021
Qingyu SONG ; Wenqiang HONG ; Tao LIU ; Jialun DU ; Shuyan LI
Recent Advances in Ophthalmology 2025;45(12):962-966
Objective To analyze the changing trends and epidemiological characteristics of the disease burden of blindness caused by type 2 diabetes mellitus(T2DM)in China from 1990 to 2021,and to predict the trends up to 2035.Methods Based on the standardized methodology of the Global Burden of Disease Study 2021,the age-standardized rates(ASRs)and their corresponding 95%uncertainty intervals(UI)for prevalence and years lived with disability(YLDs)rate were used to systematically describe the disease burden of blindness caused by T2DM in China.The temporal trends[esti-mated annual percentage change(EAPC)]and epidemiological characteristics were assessed,with attention to age and sex differences,to predict the trends in the disease burden up to 2035.Results From 1990 to 2021,the age-standardized prevalence rate increased from 6.03 per 100 000(95%UI:4.46-8.18)to 10.35 per 100 000(7.60-13.69),and the age-standardized YLDs rate increased from 1.09 per 100 000(95%UI:0.67-1.70)to 1.88 per 100 000(95%UI:1.21-2.90),with an EAPC of 2.18(95%CI:1.73-2.64).The disease burden was relatively heavier in females and the elderly population.Epidemiological changes,population growth,and aging collectively drove the increase in the burden of blind-ness caused by T2DM.The disease burden of blindness caused by T2DM is projected to continue rising by 2035.Conclu-sion The disease burden of blindness caused by T2DM in China continues to increase,with a relatively heavier burden on females and the elderly population.Future research should optimize the equity of medical resource allocation and conduct studies on the mechanisms of sex differences to enable precise interventions with evidence-based strategies.
3.Analysis of disease burden and trend prediction of blindness caused by type 2 diabetes mellitus in China from 1990 to 2021
Qingyu SONG ; Wenqiang HONG ; Tao LIU ; Jialun DU ; Shuyan LI
Recent Advances in Ophthalmology 2025;45(12):962-966
Objective To analyze the changing trends and epidemiological characteristics of the disease burden of blindness caused by type 2 diabetes mellitus(T2DM)in China from 1990 to 2021,and to predict the trends up to 2035.Methods Based on the standardized methodology of the Global Burden of Disease Study 2021,the age-standardized rates(ASRs)and their corresponding 95%uncertainty intervals(UI)for prevalence and years lived with disability(YLDs)rate were used to systematically describe the disease burden of blindness caused by T2DM in China.The temporal trends[esti-mated annual percentage change(EAPC)]and epidemiological characteristics were assessed,with attention to age and sex differences,to predict the trends in the disease burden up to 2035.Results From 1990 to 2021,the age-standardized prevalence rate increased from 6.03 per 100 000(95%UI:4.46-8.18)to 10.35 per 100 000(7.60-13.69),and the age-standardized YLDs rate increased from 1.09 per 100 000(95%UI:0.67-1.70)to 1.88 per 100 000(95%UI:1.21-2.90),with an EAPC of 2.18(95%CI:1.73-2.64).The disease burden was relatively heavier in females and the elderly population.Epidemiological changes,population growth,and aging collectively drove the increase in the burden of blind-ness caused by T2DM.The disease burden of blindness caused by T2DM is projected to continue rising by 2035.Conclu-sion The disease burden of blindness caused by T2DM in China continues to increase,with a relatively heavier burden on females and the elderly population.Future research should optimize the equity of medical resource allocation and conduct studies on the mechanisms of sex differences to enable precise interventions with evidence-based strategies.
4.Application of DDPM in artificial intelligence image data augmentation of medical device
Pengfei HAO ; Qingyu LI ; Rui CHAI ; Xi CHEN ; Qinghua SONG ; Naishui HAN ; Ke ZHANG
China Medical Equipment 2024;21(3):154-158
Medical device imaging data augmentation is a method of expanding existing datasets by generating new data samples,which is of great significance for improving the performance of artificial intelligence(AI)medical device-related models and clinical application effects.However,traditional data augmentation methods are usually limited by the quality,realism,and diversity of generated samples.Denoising diffusion probabilistic model(DDPM)is a generative model based on the noise diffusion process,and its main idea is to generate samples with high quality by modelling the sampling process of the target distribution as a process of progressive denoising from the noise distribution.The basic principles and working mechanisms of DDPM were reviewed,the application scenarios of this method in AI medical device data augmentation were analyzed,and its advantages,challenges,and future development directions were explored to provide a reference for the field of AI medical device data augmentation.
5.Correlation analysis between coronary artery calcifications and cardiovascular disease in patients with breast cancer after radiotherapy
Buzhi SONG ; Ziyi XIAO ; Zekai ZENG ; Yingshan GAO ; Qingyu WU ; Yingying ZHOU ; Hongmei WANG
Chinese Journal of Radiation Oncology 2024;33(1):85-89
Coronary artery calcifications (CAC) is an independent risk factor for cardiovascular disease (CVD). It has been revealed that this condition can be automatically quantified through computerize tomographic (CT) scan contained in radiotherapy plan for patients with breast cancer, with which, physicians can identify the patients with increased risk of CVD after radiotherapy prematurely and take intervention measures in advance. In this article, the current literature and research progress on the correlation between CAC and cardiotoxicity in patients with breast cancer after radiotherapy were reviewed, expecting to provide a strategy to reduce the CVD risk in patients with breast cancer after radiotherapy.
6.Analysis on drug resistance in people infected with HIV-1 CRF55_01B before antiviral therapy in China
Shan ZHENG ; Chang SONG ; Mengze GAN ; Qingyu HAN ; Jing HU ; Aobo DONG ; Lingjie LIAO ; Yi FENG ; Yuhua RUAN ; Hui XING
Chinese Journal of Experimental and Clinical Virology 2021;35(2):194-198
Objective:To explore the resistance to protease inhibitors (PI), nucleoside reverse transcriptase inhibitors (NRTIs), non-nucleoside reverse transcriptase inhibitors (NNRTIs) and integrase inhibitors (INSTIs) of HIV-1 CRF55_01B and the transmission of drug-resistant strains among HIV-1 CRF55_01B infected patients before antiviral treatment in China.Methods:HIV-1 RNA was extracted from plasma samples of the patients infected with CRF55_01B in the national surveillance of HIV drug resistance before antiviral treatment in 2018. A 1 056 bp gene fragment of protease/reverse transcriptase (PR/RT) region and an 846 bp gene fragment of integrase (IN) region were obtained and sequenced. Drug resistance was analyzed by using all drugs included in the Stanford University HIV db Program, HIV-1 molecular network analysis was performed with software HIV-TRACE and polymorphism mutations of CRF55_01B integrase gene region were analyzed.Results:A total of 178 samples from 26 provinces, municipalities and autonomous regions in China were analyzed, and 170 sequences of CRF55_01B PR/RT region and 170 sequences of IN region of corresponding samples were obtained. The drug resistance rate was 15.3% (26/170). The drug resistance rates of PIs, NRTIs, NNRTIs and INSTIs were 1.2% (2/170), 1.2% (2/170), 15.3% (26/170), 0.6% (1/170), respectively. The level of drug resistance was mostly low. NNRTIs drug resistance mutations were mainly V179D/E co-appeared with other mutations, and 84.1% (143/170) of the infected patients carrying V179D/E alone showed potential drug resistance. INSTIs drug resistance mutation was G163R, and showed low resistance to EVG and RAL. The molecular network access rate was 30.0%(51/170)according to the 0.9% gene distance threshold. The resistant strains were transmitted between men with homosexual transmission and heterosexually transmitted people, and both carried resistant mutations E138G and V179E. In the integrase region, CRF55_01B and CRF01_AE and B subtypes showed high mutation frequency difference in 5 sites (T215A、G134N、I135V, K136R and L101I/V).Conclusions:Before antiviral treatment, CRF55_01B infected patients in China had a high resistance to NNRTIs. Strains carrying both E138G and V179E resistance mutations were transmitting in clusters. The prevalence of CRF55_01B integrase inhibitor resistant strains is low, but some genetic polymorphisms with high mutation rate in the integrase gene region have potential influence on drug sensitivity. The influence of drug resistance of new recombinant strains on antiviral therapy in China needs to be further monitored and analyzed.
7.Study on the mechanism of Flos Puerariae and Semen Hoveniae in treatment of alcoholic liver injury based on network pharmacology and molecular docking.
Yanan WANG ; Xiaoming YAN ; Qingyu ZHANG ; Aihua SONG ; Fei HAN
Journal of Zhejiang University. Medical sciences 2020;49(6):714-724
OBJECTIVE:
To explore the mechanism of Flos Puerariae and Semen Hoveniae in treatment of alcoholic liver injury (ALI) based on network pharmacology and molecular docking.
METHODS:
The information of chemical constituents and targets of Flos Puerariae and Semen Hoveniae was collected from TCMSP and Swiss databases, and the threshold values of oral bioavailability (OB) ≥ 30%, drug likeness (DL) ≥0.18 were used to screen the potential active compounds. The GeneCard and DrugBank databases were used to obtain the targets corresponding to ALI. The common targets were queried using Venn Diagram, and the network of PPI and Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed through DAVID and Reactome database. Autodock Vina software was used for molecular docking of potential ingredients and key targets.
RESULTS:
A total of 21 potential active compounds and 431 therapeutic targets were gathered in Flos Puerariae and Semen Hoveniae, which involved 273 biological functions, 90 KEGG pathways and 362 Reactome pathways. The GO functions involved protein binding, ATP binding, etc.; the KEGG pathways mainly included PI3K-Akt signaling pathway and TNF signaling pathway; the Reactome pathways contained signal transduction and immune system, etc. The results of molecular docking showed that 21 potential active ingredients had good affinity with the core targets Akt1, TP53 and IL-6.
CONCLUSIONS
The network pharmacology and molecular docking analysis demonstrate the synergetic effect of Flos Puerariae and Semen Hoveniae with multi-compounds, multi-targets and multi-pathways in the treatment of ALI; and also predict the possible medicinal substance, key targets and pathways, which provides clues for the new drug development and mechanism research.
Animals
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Computer Simulation
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Drugs, Chinese Herbal/therapeutic use*
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Lepidoptera/chemistry*
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Liver/drug effects*
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Liver Diseases, Alcoholic/therapy*
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Molecular Docking Simulation
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Phosphatidylinositol 3-Kinases/metabolism*
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Plant Extracts/therapeutic use*
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Rhamnaceae/chemistry*
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Signal Transduction/drug effects*
8.Association of OSMR gene polymorphisms with dilated cardiomyopathy in a Han Chinese population.
Xiaohui DAI ; Ying PENG ; Bin ZHOU ; Chunmei LI ; Huizi SONG ; Qingyu DOU ; Xiaochuan XIE ; Li RAO
Chinese Journal of Medical Genetics 2018;35(2):210-214
OBJECTIVETo assess the association of polymorphisms of oncostatin M receptor (OSMR) gene with dilated cardiomyopathy (DCM) in a Han Chinese population.
METHODSFor 351 DCM patients and 418 healthy controls, two single nucleotide polymorphisms (SNPs) of the OSMR gene, namely rs2292016 (promoter, -100G/T) and rs2278329 (missense, Asp553Asn), were genotyped with a TaqMan SNP genotyping assay. Two hundred of the patients were also followed up for (49.85 ± 22.52) months.
RESULTSFor rs2292016, carriers of GT genotype were more likely to develop DCM compared to those with GG and TT genotypes (OR=1.45, 95%CI: 1.09-1.92, P=0.01). For those who did not receive cardiac resynchronization therapy, the GG genotype of rs2292016 was an independent indicator for poor prognosis (OR=1.69, 95%CI: 1.11-2.63, P=0.017). No association was found between genotypes of rs2278329 with the susceptibility or prognosis of DCM.
CONCLUSIONPolymorphisms of the OSMR rs2292016 locus are related to the development and outcome of DCM.
Asian Continental Ancestry Group ; genetics ; Cardiomyopathy, Dilated ; etiology ; genetics ; China ; ethnology ; Genotype ; Humans ; Oncostatin M Receptor beta Subunit ; genetics ; Polymorphism, Single Nucleotide
9.Expression of mRNA and protein of Klotho gene in placental tissue of macrosomia and its relationship with birth weight of neonates
Wenjia SHAO ; Dongxue WANG ; Qingyu WAN ; Mingming ZHANG ; Miaomiao CHEN ; Weiwei SONG
Chinese Journal of Obstetrics and Gynecology 2016;51(6):420-423
Objective To explore the the expression of Klotho mRNA and protein in placenta of macrosomia and its relationship with the birth weight of neonates. Methods The cases were from November 2014 to March 2015 in Shengjing Hospital of China Medical University, divided into 4 groups:the gestational diabetes with macrosomia group (GM), the gestational diabetes with normal birth weight group (GN), the normal pregnancy with macrosomia group (NM) and the normal pregnancy with normal birth weight group (NN). Klotho mRNA and protein expression in the placenta were detected by immunohistochemistry SP method, real-time fluorescent quantitative PCR and western blot, respectively, and were compared among the 4 groups. Results (1) Immunohistochemical detection showed the positive rate of Klotho protein was significantly higher in the placenta of GM (93%,28/30) than in the GN (73%,22/30;P<0.05). The positive rate was significantly higher in the placenta of NM (97%,29/30) than in the NN (80%,24/30;P<0.05). (2) Real-time fluorescent quantitative PCR showed the Klotho mRNA expression was significantly higher in the placenta of GM (4.3 ± 3.1) than in the GN (2.1 ± 2.4;P<0.05). The Klotho mRNA expression was also significantly higher in the placenta of NM (4.8 ± 3.4) than in the NN (2.6 ± 3.3;P<0.05). (3) Western blot showed the Klotho protein expression was significantly higher in the placenta of GM (1.27±0.90) than in the GN (0.64±0.24;P<0.05). It was also significantly higher in the placenta of NM (2.51±3.52) than in the NN (0.77±0.37;P<0.05). (4) There were no significant differences in the expression of Klotho mRNA and protein between GM and NM, GN and NN (P>0.05). Conclusions The up-regulation of Klotho gene may be associated with macrosomia. The relationship is not affected by the complication of gestational diabetes.
10.Relationship between Gab1 expression in placenta and neonatal birth weight in gestational diabetes mellitus
Dongxue WANG ; Shuo ZHANG ; Qingyu WAN ; Wenjia SHAO ; Mingming ZHANG ; Miaomiao CHEN ; Weiwei SONG
Chinese Journal of Perinatal Medicine 2016;19(11):872-877
Objective To evaluate the relationship between placental expression of Gab1 and neonatal birth weight in mothers with gestational diabetes mellitus (GDM).Methods From the singleton and full-term cesarean delivered women in Shengjing Hospital Affiliated to China Medical University between October 2014 and May 2015,30 macrosomia babies with maternal GDM were selected as GDM macrosomia group,30 cases of GDM with normal neonatal birth weight as GDM normal group,30 cases without GDM but with macrosomia as normal macrosomia group,and 30 cases without GDM and with normal neonatal birth weight as the normal control group.Gab1 protein and mRNA expression in placentas were detected using immunohistochemistry,Western blot and real-time quantitative-polymerase chain reaction.Analysis of variance,LSD,Dunnett's T3,Chi-square test and Pearson's correlation analysis were used for statistical analysis.Results (1) Gab 1 protein location and positive expression rate:Gab 1 protein expression in human placenta tissue was located in the nucleus.The positive epression rate of Gab 1 protein in the GDM macrosomia group was higher than in the GDM normal group and normal macrosomia group [93%(28/30),73%(22/30) vs 73%(22/30)] and those in the normal macrosomia group and GDM normal group were higher than in the normal control group[47%(14/30)](x2=4.320,4.320,4.444 and 4.444,all P<0.05).(2) The expression levels of Gabl protein and mRNA:The expression level of Gab1 protein in the GDM macrosomia group was higher than in the GDM normal group and normal macrosomia group (1.43 ± 0.58 vs 1.05 ± 0.67 and 0.95± 0.59),and that in the normal macrosomia group and GDM normal group were higher than in the normal control group (0.64±0.38) (LSD test,all P<0.05).The expression levels of Gab1 mRNA showed the same trend as the expression levels of Gab1 protein in the four groups.(3) Gab 1 protein expression level was positively associated with neonatal birth weight (r=0.320,P=0.320).Conclusions The expression of Gab1 in placenta is involved in the regulation of birth weight in GDM mothers.

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