1.Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women
Claudia Ha-ting TAM ; Ying WANG ; Chi Chiu WANG ; Lai Yuk YUEN ; Cadmon King-poo LIM ; Junhong LENG ; Ling WU ; Alex Chi-wai NG ; Yong HOU ; Kit Ying TSOI ; Hui WANG ; Risa OZAKI ; Albert Martin LI ; Qingqing WANG ; Juliana Chung-ngor CHAN ; Yan Chou YE ; Wing Hung TAM ; Xilin YANG ; Ronald Ching-wan MA
Diabetes & Metabolism Journal 2025;49(1):128-143
Background:
The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications.
Methods:
We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants.
Results:
Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals.
Conclusion
Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.
2.Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women
Claudia Ha-ting TAM ; Ying WANG ; Chi Chiu WANG ; Lai Yuk YUEN ; Cadmon King-poo LIM ; Junhong LENG ; Ling WU ; Alex Chi-wai NG ; Yong HOU ; Kit Ying TSOI ; Hui WANG ; Risa OZAKI ; Albert Martin LI ; Qingqing WANG ; Juliana Chung-ngor CHAN ; Yan Chou YE ; Wing Hung TAM ; Xilin YANG ; Ronald Ching-wan MA
Diabetes & Metabolism Journal 2025;49(1):128-143
Background:
The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications.
Methods:
We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants.
Results:
Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals.
Conclusion
Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.
3.Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women
Claudia Ha-ting TAM ; Ying WANG ; Chi Chiu WANG ; Lai Yuk YUEN ; Cadmon King-poo LIM ; Junhong LENG ; Ling WU ; Alex Chi-wai NG ; Yong HOU ; Kit Ying TSOI ; Hui WANG ; Risa OZAKI ; Albert Martin LI ; Qingqing WANG ; Juliana Chung-ngor CHAN ; Yan Chou YE ; Wing Hung TAM ; Xilin YANG ; Ronald Ching-wan MA
Diabetes & Metabolism Journal 2025;49(1):128-143
Background:
The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications.
Methods:
We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants.
Results:
Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals.
Conclusion
Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.
4.Molecular mechanisms and clinical applications of tumor budding in hepatocellular carcinoma
Hongbin ZHANG ; Kai TAN ; Zhenyu YANG ; Shengxiong JIA ; Xilin DU
Journal of Clinical Hepatology 2025;41(5):963-967
Tumor budding is a distinct pathomorphological feature observed in various types of solid tumor. In recent years, tumor budding has been recognized as an important biological feature associated with tumor invasion and metastasis, and it has become a new focus in the research on tumor progression. Although studies have explored the role of tumor budding in different types of tumor, there are studies in the field of hepatocellular carcinoma (HCC). This article systematically reviews the research advances in tumor budding in HCC, with a focus on the mechanism of tumor budding, the association between tumor budding and tumor progression, and the potential application of tumor budding in prognostic assessment, in order to provide new insights and strategies for the early diagnosis and treatment of HCC.
5.Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women
Claudia Ha-ting TAM ; Ying WANG ; Chi Chiu WANG ; Lai Yuk YUEN ; Cadmon King-poo LIM ; Junhong LENG ; Ling WU ; Alex Chi-wai NG ; Yong HOU ; Kit Ying TSOI ; Hui WANG ; Risa OZAKI ; Albert Martin LI ; Qingqing WANG ; Juliana Chung-ngor CHAN ; Yan Chou YE ; Wing Hung TAM ; Xilin YANG ; Ronald Ching-wan MA
Diabetes & Metabolism Journal 2025;49(1):128-143
Background:
The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications.
Methods:
We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants.
Results:
Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals.
Conclusion
Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.
6.Construction of a nomogram prediction model for aggressive behavior in patients with bipolar disorder
Xilin WANG ; Chanjuan YANG ; Daomeng CHENG
The Journal of Practical Medicine 2024;40(5):677-681
Objective To explore the influencing factors of aggressive behavior in patients with bipolar disorder and to construct a nomogram prediction model.Method Eighty patients with bipolar disorder who were admitted to our hospital from March 2021 to April 2023 were selected as the research subjects.They were divided into non-aggressive and aggressive groups.Univariate analysis was performed on the data of the two groups,and factors with statistical significance were subjected to logistic regression analysis.A nomogram was drawn to determine the influencing factors of aggressive behavior in patients with bipolar disorder.Result A total of 80 patients were included,of which 28 were in the aggressive group(35.0%)and 52 were in the non-aggressive group(65.0%).The proportion of patients who lived alone for a long time,the total hospitalization time,and the proportion of patients with a history of suicidal tendencies were higher in the aggressive group than in the non-aggressive group.Moreover,the scores of ITAQ and SSRS were lower in the aggressive group(P<0.05).Multivariate logistic regres-sion analysis showed that living alone for a long time and having a history of suicidal tendencies were risk factors for aggressive behavior in patients with bipolar disorder,while high scores on ITAQ and SSRS were protective factors(P<0.05).A nomogram was constructed,which has good predictive value.Conclusion Long-term solitary living and a history of suicidal tendencies may increase the risk of aggressive behavior in patients with bipolar disorder.
7.Correlation between human leukocyte antigen HLA-A gene polymorphism and HBV carrier
Li SHUAI ; Shuai YANG ; Junjie YE ; Jingcheng YANG ; Xiaoye FU ; Bin XU ; Hongwei LIU ; Lü ZHOU ; Xilin KANG ; Jing GAO
Journal of Xi'an Jiaotong University(Medical Sciences) 2024;45(6):1037-1040
[Objective] To investigate the correlation between human leukocyte antigen (HLA) gene polymorphism and hepatitis B virus (HBV) infection. [Methods] Venous blood samples were collected from 501 healthy individuals undergoing physical examinations at Yan’an Hospital in Kunming, Yunnan Province. Enzyme linked immunosorbent assay (ELISA) was used to detect HBV halves. Based on the results of HBV half detection, the patients were divided into three groups: HBV carrier group, previous infection group, and healthy control group. The HLA-A antigen genotype was detected using polymerase chain reaction with sequence specific primers (PCR-SSP) genotyping technology, and the distribution frequency of HLA-A gene polymorphism was compared between HBV carrier group and healthy control group, as well as between previous infection group and healthy control group. SPSS17.0 software was used for data statistical analysis. [Results] In the healthy control group, the HLA-A2 positivity rate was 47.49%, and the allele frequency was 31.29%.The overall frequency of gene distribution in the healthy control group was consistent with the HLA-A allele table commonly and confirmed in China published by the Chinese Bone Marrow Bank. The HLA-A2 positivity rate and allele frequency in the HBV carrier group were 63.04% and 42.23%, respectively; The difference in HLA-A2 positivity rate and allele frequency among carriers was statistically significant (P<0.05). the HLA-A2 positivity rate and allele frequency in the HBV previous infection group were 56.14% and 35.97%, respectively, which did not significantly differ from those in the healthy control group (P>0.05). [Conclusion] HLA-A2 gene may be a susceptibility gene for chronic hepatitis B HBV carriers.
8.The value of Revolution CT in identifying the tumor-lung interface between central lung cancer and accompanying atelectasis
Xilin LI ; Jing CHEN ; Lihui GENG ; Qi LI ; Jian LI ; Yang CHEN ; Jingwang LIU
Journal of Practical Radiology 2024;40(5):713-716
Objective To study the application value of multi-parameter imaging of Revolution energy spectrum CT in identifying the tumor-lung interface between central lung cancer and accompanying atelectasis.Methods The spectral CT imaging data of 73 patients with central lung cancer and accompanying atelectasis confirmed by pathology were collected.The polychromatic image,the best monochromatic image,the best monochromatic image combined with iodine concentration map and the effective atomic number(Eff-Z)of the tumor-lung interface in the arterial,venous and delayed phases were compared,and the CT value,iodine concentration(IC)value,Eff-Z and the slope of energy spectrum curve(λHU)of tumors and atelectasis in the venous phase were also compared.Results(1)On tri-phase CT,the subjective score of the tumor-lung interface in the venous phase was the highest.(2)There were differences among the subjective scores of tumor-lung interface on polychromatic image,best monochromatic image,best monochromatic image com-bined with iodine concentration map and Eff-Z on tri-phasic enhanced CT.The subjective score of the best monochromatic image combined with iodine concentration map was the highest,followed by the best monochromatic image.(3)There were significant differences in CT values,IC values,Eff-Z and λHU between tumors and atelectasis in venous phase,with the highest difference of IC value.Conclusion Revolution energy spectrum CT can identify the tumor-lung interface between central lung cancer and accompanying ate-lectasis through multi-parameter imaging,which may provide helpful information for the diagnosis and therapeutic evaluation of the disease.
9.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
10.Establishment of a Guinea Pig Model for Endoscopic Anatomy and Middle Ear Surgery Training
Pei XIE ; Bingqian YANG ; Xilin YANG ; Hua LIAO ; Hua LIU
Journal of Audiology and Speech Pathology 2024;32(4):338-341
Objective To investigate the feasibility of constructing an animal model for training of otoscopic anatomy and surgical operation using living guinea pigs.Methods Eight healthy adult guinea pigs were used as ex-perimental animals to construct a model of endoscopic operation by opening the upper tympanic cavity and abrading the upper wall of the external acoustic meatus to establish a space for endoscopic observation and operation.The an-atomical opening of the temporal bone and basic surgical steps were performed by the same resident on eight guinea pigs.The resident assessed the difficulty and completion of the endoscopic operation and measured various dimen-sions,including the anteroposterior and superior/inferior diameters of the mastoid process,the posterolateral wall of the upper tympanic cavity,and the upper wall of the external acoustic meatus,as well as the maximal depth of entry of the endoscope.Results The fine structures of guinea pig tympanic chamber were clearly displayed under otoen-doscopy.Except for the two steps of free preservation of the chorda tympani nerve and exposure of the stapes after removal of the ossicles,the other steps,such as separation of the tympanic membrane from the malleus,exposure of the malleus-anvil complex,removal of the cochlea shell to observe the cochlea axis,and exposure of the tympanic segment of the facial nerve under the endoscope,were all easily accomplished.The anterior and posterior diameters of the mastoid after opening were 3.56±0.21 and 3.89±0.16 mm,respectively,and the anterior and posterior di-ameters of the upper tympanic cavity and the upper wall of the external acoustic meatus after opening were 5.60±0.09 and 6.02±0.10 mm,respectively.The maximum depth of entry of the otoscopic endoscope was 15.14±0.24 mm.Conclusion Using guinea pig as an animal model for otoscopic surgery training can provide a more realis-tic surgical experience,which is helpful for beginners to be trained in the basic surgical skills of otoscopic surgery and otoscopic anatomy.

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