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.

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.

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.

Objective: To systematically evaluate the influencing factors for autism spectrum disorder (ASD) in Chinese children, so as to provide the evidence for risk prediction and intervention of ASD. Methods: The publications pertaining to the influencing factors for ASD in Chinese children were retrieved from CNKI, Wanfang Data, VIP, PubMed and Embase database from inception to August 2024. A meta-analysis was performed using R package version 4.4.1. Sensitivity analysis was performed using the "leave-one-out" evaluation procedure. Publication bias was assessed using Egger regression test. Results: A total of 38 high-quality articles out of 9 015 articles were finally included, covering 149 607 individuals, with 5 974 cases of ASD. The meta-analysis showed that demographic factors including family history of related diseases (OR=14.958), maternal age of ≥35 years (OR=2.287) and parental history of hazardous occupations (OR=3.511); pregnancy-related factors including history of abortion (OR=5.832), no folate supplementation before and during pregnancy (OR=4.566), tobacco exposure before and during pregnancy (OR=2.596), history of other adverse exposures before and during pregnancy (OR=3.533), history of infectious diseases during pregnancy (OR=3.753), history of non-infectious diseases during pregnancy (OR=2.563), psychological problems during pregnancy (OR=3.864), history of medication during pregnancy (OR=6.651), adverse environmental exposures during pregnancy (OR=3.754), severe pregnancy reactions (OR=5.082), abnormal perinatal period (OR=2.987), cesarean delivery (OR=1.659), other perinatal adverse factors (OR=3.856), history of neonatal asphyxia (OR=2.792) and neonatal jaundice (OR=3.687); parenting factors including non-exclusive breastfeeding (OR=2.510), early/excessive screen exposure (OR=3.589) and feeding problems (OR=3.113); and individual factors including being male (OR=3.333) and history of convulsions/epilepsy (OR=7.035) were influencing factors for ASD in Chinese children. Conclusions The prevalence of ASD in Chinese children is primarily associated with 23 influencing factors, including family history of related diseases, history of abortion, no folate supplementation before and during pregnancy, medication during pregnancy, early/excessive screen exposure and history of convulsions/epilepsy.

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.

Objective To explore the optimal method for preparing fresh and fixed skeletal muscle tissues,and to lay an experimental foundation for the rapid diagnosis of and research into the pathogenesis of skeletal muscle diseases.Methods The tibialis anterior muscle was extracted from C57BL/6J mice.Fresh tissue was treated by direct rapid freezing in liquid nitrogen,embedding combined with liquid nitrogen freezing,and foreign body alkane treatment combined with liquid nitrogen freezing.Fixed tissues were pre-treated by direct embedding with embedding agent combined with rapid liquid nitrogen freezing.The frozen sections were stained with hematoxylin and eosin.The cross-sectional areas of ice crystals and muscle fibers were calculated to evaluate the effects of the different pre-treatment method.Results The morphology of the muscle fiber bundles was disrupted and numerous ice crystal vacuoles were observed in fresh tissues after direct liquid nitrogen freezing and foreign body alkane treatment combined with liquid nitrogen freezing.In contrast,the muscle fiber bundles were intact and dense and there were no ice crystals in tissues treated with embedding agent combined with rapid liquid nitrogen freezing,indicating that this pre-treatment method was suitable for preparing fresh skeletal muscle tissue.Fixed tissue treated with embedding agent and liquid nitrogen freezing also showed complete muscle fiber bundles and no ice crystals.Conclusions Treatment of fresh and fixed skeletal muscle tissues with embedding agent combined with rapid liquid nitrogen freezing preserves muscle fiber bundles,with no ice crystals.Tissues prepared by this method are thus suitable for further examinations,such as immunohistochemistry and immunofluorescence.This method will therefore aid the accurate and rapid diagnosis of and research into the pathogenesis of skeletal muscle diseases.

Background and purpose:In 2016 the National Cancer Institute(NCI)decided stopping to use NCI-60 cell lines for drug screening,suggesting that tumor cell lines were losing their value as a tool for drug discovery and basic research.The reason for NCI-60 cells'retirement'was that the preclinical studies based on traditional cellular and animal models did not obtain the corresponding expected efficacy in clinical trials.Since the major cancer behaviors,such as proliferation and metastasis,are fundamentally altered with long-term culture,the tumor cell lines are not representative of the characteristics of cancer in patients.Currently,scientists hope to create a new cancer model that are derived from fresh patient samples and tagged with details about their clinical past.Our purpose was to create patient-derived breast cancer primary cell lines as new cancer model for drug screening and basic research.Methods:Breast cancer tissues were collected in the Department of Breast Surgery,Affiliated Hospital of Guizhou Medical University.The collection of tumor tissue samples was approved by the Ethics Committee of the Affiliated Hospital of Guizhou Medical University(approval number:2022 ethics No.313),and the collection and use of tumor tissues complied with the Declaration of Helsinki.The primary breast cancer cell lines were isolated from the patient's breast cancer tissues and cultured in BCMI medium.After the cells proliferated,the media were replaced with DEME medium.Cell line STR genotyping was done to determine cell-specific genetic markers and identification.Clone formation assay and transplantation assay were done to analyze the ability of breast cancer primary cell lines to form tumors.Results:We created 6 primary breast cancer cell lines.The 6 primary breast cancer cell lines from the patients were tagged with the definitively clinicopathological features,clinical diagnosis,therapeutic regimens,clinical effectiveness and prognostic outcomes.The STR genotyping assays identified the genetic markers and determined the identities of the 6 primary breast cancer cell lines.Clone formation assays and transplantation assay showed that the proliferative capacities of the patient-derived primary breast cancer cell lines were significantly greater compared with the conventional breast cancer cell lines.Conclusion:We created a panel of 6 patient-derived primary breast cancer cell lines as new cancer model for drug screening and basic research in breast cancer.

Objective To analyze the medication law and academic thoughts of Professor Wang Junhong in the treatment of tic disorders(TD)in children.Methods The cases of children with TD diagnosed and treated by Professor Wang Junhong from January 2015 to November 2022 were selected.Excel 2016 was used to analyze the clinical information of children with TD.The frequency ranking,property,taste and meridian tropism,and changes of prescription drugs were analyzed in multiple dimensions.SPSS Modeler 18.0 was used to analyze the drug association rules of prescriptions in 2021 and 2022.Cytoscape 3.9.0 was used to analyze the complex network of drug-drug strong,medium and weak links obtained by SPSS Modeler 18.0.The drug groups were obtained in SPSS,and Excel 2016 was used to analyze the annual changes of high-frequency drugs.Results Totally 5586 prescriptions were included,involving 198 kinds of Chinese materia medica,with a total frequency of 108356 times.The top five kinds of high-frequency Chinese materia medica were Chrysanthemi Flos,Acori Tatarinowii Rhizoma,Coptidis Rhizoma,Crataegi Fructus,Polygalae Radix.The medicinal properties were mostly cold,warm and mild.The medicinal tastes were mainly bitter,sweet and pungent.The main meridians of drugs were liver,heart and lung meridians.The association rule analysis showed that the common couplet medicines were Chrysanthemi Flos-Acori Tatarinowii Rhizoma and Acori Tatarinowii Rhizoma-Scorpio.Commonly used triple combination was Chrysanthemi Flos-Scorpio-Acori Tatarinowii Rhizoma.Clustering analysis showed 4 drug groups,reflecting the characteristics of Professor Wang Junhong's treatment of calming liver and tranquilizing mind.According to the time-flow analysis,since 2020,the proportion of drugs such as Bupleuri Radix,Scutellariae Radix,Haliotidos Concha,Gastrodiae Rhizoma and Margaritifera Concha have gradually increased,indicating that more attention should be paid to treating the liver,resolving phlegm and calming the mind.Conclusion In the treatment of TD in children,Professor Wang Junhong takes heart,liver and lung as the center.The prescription medication is to relieve wind and phlegm,soothe the liver and tranquilize the mind.In recent years,it has attached importance to the role of regulating emotions and resolving phlegm in the treatment of children with TD.

Objective:To investigate the impact of BMI1 expression in OSCC on the recruitment and differentiation of tumor-associat-ed macrophages(TAMs).Methods:BMI1 expression in 519 cases of OSCC tissues and 44 normal controls was analyzed using online datasets of GEPIA 2.0,and validated in 3 cases of OSCC samples and controls by qRT-PCR and western blotting.The function of BMI1/NF-κB axis during OSCC carcinogenesis was investigated by CCK8 assays,wound healing test and transwell assays.Macrophage phenotypes and recruitment were determined using qRT-PCR and western blotting following coculture of the cells with human monocyte cells(THP-1)by OSCC conditioned medium.Moreover,a cell line-derived xenograft(CDX)model was used to detect the effect of BMI1 on tumor growth in vivo.Results:Compared with the normal tissues and cells,the expression level of BMI1 in OSCC tissues and cells was significantly upregulated.BMI1 knockdown impaired the proliferation,migration,and invasion abilities of OSCC cell lines in NF-κB-dependent manner.Furthermore,OSCC cells with high BMI1 expression inhibited the migration of THP-1 cells,promoted M2-like macrophage polarization through NF-κB pathway in vitro.Xenograft experiments further confirmed the inhibitory effect of BMI1 knockdown on the tumorigenesis ability of OSCC cells in vivo.Conclusion:BMI1 promotes M2-like polarization by regulating NF-κB and may be used as a potential therapeutic target for antitumor immunity.

Based on WANG Xugao's “thirty methods of treating the liver”， it is believed that the occurrence and development of childhood tic disorders follow the dynamic progression from liver qi disease to liver fire disease and then liver wind disease. The basic pathogenesis of three stages are characterized by binding constraint of liver qi， liver fire hyperactivity， and internal stirring of liver wind. Moreover， liver-blood deficiency and stagnation， and malnutrition of liver yin as the main point in terms of the imbalance of liver qi， blood， yin， and yang should be considered， as well as the imbalance relationship of the five zang organs such as the involvement of other organs and the gradually reach of the other organs. Guided by the principles of “thirty methods of treating the liver”， the treatment of tic disorders in liver qi stage should focus on soothing the liver and rectifying qi， soothing the liver and unblocking the collaterals， using Xiaochaihu Decoction （小柴胡汤） and Sini Powder （四逆散）. The treatment of tic disorders in liver fire stage involves clearing， draining and resolving liver heat， using Longdan Xiegan Decoction （龙胆泻肝汤）， Xieqing Pill （泻青丸）， Danggui Longhui Pill （当归龙荟丸）， and Huagan Decoction （化肝煎）. The treatment of tic disorders in liver wind stage involves extinguishing wind and subduing yang， using Lingjiao Gouteng Decoction （羚角钩藤汤） and Liuwei Dihuang Pill （六味地黄丸）. Throughout the treatment process， attention should be paid to harmonizing the liver's qi， blood， yin， and yang， as well as addressing the pathology of other organs.