1.Development of a Standardized Suicide Prevention Program for Gatekeeper Intervention in Korea (Suicide CARE Version 2.0) to Prevent Adolescent Suicide: Version for Teachers
Hyeon-Ah LEE ; Yeon Jung LEE ; Kyong Ah KIM ; Myungjae BAIK ; Jong-Woo PAIK ; Jinmi SEOL ; Sang Min LEE ; Eun-Jin LEE ; Haewoo LEE ; Meerae LIM ; Jin Yong JUN ; Seon Wan KI ; Hong Jin JEON ; Sun Jung KWON ; Hwa-Young LEE
Psychiatry Investigation 2025;22(1):117-117
		                        		
		                        		
		                        		
		                        	
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.Development of a Standardized Suicide Prevention Program for Gatekeeper Intervention in Korea (Suicide CARE Version 2.0) to Prevent Adolescent Suicide: Version for Teachers
Hyeon-Ah LEE ; Yeon Jung LEE ; Kyong Ah KIM ; Myungjae BAIK ; Jong-Woo PAIK ; Jinmi SEOL ; Sang Min LEE ; Eun-Jin LEE ; Haewoo LEE ; Meerae LIM ; Jin Yong JUN ; Seon Wan KI ; Hong Jin JEON ; Sun Jung KWON ; Hwa-Young LEE
Psychiatry Investigation 2025;22(1):117-117
		                        		
		                        		
		                        		
		                        	
4.Development of a Standardized Suicide Prevention Program for Gatekeeper Intervention in Korea (Suicide CARE Version 2.0) to Prevent Adolescent Suicide: Version for Teachers
Hyeon-Ah LEE ; Yeon Jung LEE ; Kyong Ah KIM ; Myungjae BAIK ; Jong-Woo PAIK ; Jinmi SEOL ; Sang Min LEE ; Eun-Jin LEE ; Haewoo LEE ; Meerae LIM ; Jin Yong JUN ; Seon Wan KI ; Hong Jin JEON ; Sun Jung KWON ; Hwa-Young LEE
Psychiatry Investigation 2025;22(1):117-117
		                        		
		                        		
		                        		
		                        	
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.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. 
		                        		
		                        		
		                        		
		                        	
7.Development of a Standardized Suicide Prevention Program for Gatekeeper Intervention in Korea (Suicide CARE Version 2.0) to Prevent Adolescent Suicide: Version for Teachers
Hyeon-Ah LEE ; Yeon Jung LEE ; Kyong Ah KIM ; Myungjae BAIK ; Jong-Woo PAIK ; Jinmi SEOL ; Sang Min LEE ; Eun-Jin LEE ; Haewoo LEE ; Meerae LIM ; Jin Yong JUN ; Seon Wan KI ; Hong Jin JEON ; Sun Jung KWON ; Hwa-Young LEE
Psychiatry Investigation 2025;22(1):117-117
		                        		
		                        		
		                        		
		                        	
8.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. 
		                        		
		                        		
		                        		
		                        	
9.Development of a Standardized Suicide Prevention Program for Gatekeeper Intervention in Korea (Suicide CARE Version 2.0) to Prevent Adolescent Suicide: Version for Teachers
Hyeon-Ah LEE ; Yeon Jung LEE ; Kyong Ah KIM ; Myungjae BAIK ; Jong-Woo PAIK ; Jinmi SEOL ; Sang Min LEE ; Eun-Jin LEE ; Haewoo LEE ; Meerae LIM ; Jin Yong JUN ; Seon Wan KI ; Hong Jin JEON ; Sun Jung KWON ; Hwa-Young LEE
Psychiatry Investigation 2025;22(1):117-117
		                        		
		                        		
		                        		
		                        	
10.Application of single-port thoracoscopic surgery for non-small cell lung cancer in the elderly
Zhi-Qiang WU ; Yong-Qiang WEI ; Hong-Li WAN ; Xiao-Fei ZENG ; Hong WANG ; Xian-Bo WANG
Journal of Regional Anatomy and Operative Surgery 2024;33(12):1089-1092
		                        		
		                        			
		                        			Objective To investigate the clinical efficacy and safety of single-port thoracoscopic surgery for elderly patients with non-small cell lung cancer(NSCLC).Methods The clinical data of 93 patients with NSCLC who underwent thoracoscopic lobectomy or segmentectomy was collected,the patients were divided into uniportal operation group(40 cases,received single-port thoracoscopic surgery)and single-operation port operation group(53 cases,received single-operation port thoracoscopic surgery)according to the operation methods.The operation time,the amount of blood loss,the number of lymph node dissection,chest drainage volume 3 days after surgery,duration of indwelling drainage tube,postoperative hospital stay,visual analogue scale(VAS)score of postoperative pain,and incidence of postoperative complications of patients between the two groups were compared.The cumulative survival rate between the two groups was compared.Results The operation were successfully completed in both groups.There was no statistically significant difference in terms of operation time,the amount of blood loss,the number of lymph node dissection,chest drainage volume 3 days after surgery,duration of indwelling drainage tube,or postoperative hospital stay of patients between the two groups(P>0.05).There was significant difference in VAS score of postoperative pain of patients between the two groups(P<0.05).There was no early death within 1 months after surgery in both groups.There was no significant difference in the incidence of complications between the two groups(P>0.05).After 4 to 30 months of follow-up,there was no significant difference in the cumulative survival rate between the two groups(P>0.05).Conclusion Single-port thoracoscopic lobectomy or segmentectomy for elderly patients with NSCLC has high safety and feasibility,with less trauma,faster recovery and less postoperative pain.
		                        		
		                        		
		                        		
		                        	
            
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