Objective To investigate the changes of brain deep gray matter nucleus volume and iron content in patients with type 2 dia-betes mellitus(T2DM)based on quantitative MR technology,and their correlation and mediating effect with cognitive impairment.Methods A total of 60 T2DM patients(T2DM group)and 61 healthy controls(HC)(HC group)were prospectively selected.The volume of brain deep gray matter nucleus of 3D-T1 sequence map was measured by artificial intelligence(AI)automatic segmentation technique,the corresponding region of interest(ROI)was manually drawn and quantitative susceptibility mapping(QSM)value was measured on QSM,the cognitive score,QSM value and volume of nucleus were compared by independent sample t test and rank sum test,and the correlation analysis of imaging indexes with differences between the two groups was made.The mediating effect between fasting blood glucose(FBG)and Montreal cognitive assessment(MoCA)score was analyzed.Results The MoCA and mini-mental state examination(MMSE)scores in the T2DM group were lower than those in the HC group(P＜0.05),the volumes of bilateral caudate nucleus,putamen,globus pallidus,thalamus,and right hippocampus in the T2DM group were lower than those in the HC group(P＜0.05),and the QSM values of left caudate nucleus,thalamus and bilateral globus pallidus in the T2DM group were higher than those in the HC group(P＜0.05).In the T2DM group,the volumes of bilateral thalamus and right hippocampus were positively correlated with MoCA score(left thalamus:r=0.326,P=0.012;right thalamus:r=0.373,P=0.004;right hippocampus:r=0.509,P＜0.001),and the QSM value of left thalamus was negatively correlated with MoCA score(r=-0.263,P=0.044).The mediating effect of right hippocampus volume and left thalamus QSM value was significant(P＜0.05),and the direct effect of FBG on cog-nitive score was significant(P＜0.05).Conclusion Brain deep gray matter nucleus atrophy and brain iron deposition are closely related to T2DM and cognitive impairment,and there is a mediating effect.Brain iron deposition will increase the risk of cognitive impairment in T2DM.

Objective To investigate the changes of brain deep gray matter nucleus volume and iron content in patients with type 2 dia-betes mellitus(T2DM)based on quantitative MR technology,and their correlation and mediating effect with cognitive impairment.Methods A total of 60 T2DM patients(T2DM group)and 61 healthy controls(HC)(HC group)were prospectively selected.The volume of brain deep gray matter nucleus of 3D-T1 sequence map was measured by artificial intelligence(AI)automatic segmentation technique,the corresponding region of interest(ROI)was manually drawn and quantitative susceptibility mapping(QSM)value was measured on QSM,the cognitive score,QSM value and volume of nucleus were compared by independent sample t test and rank sum test,and the correlation analysis of imaging indexes with differences between the two groups was made.The mediating effect between fasting blood glucose(FBG)and Montreal cognitive assessment(MoCA)score was analyzed.Results The MoCA and mini-mental state examination(MMSE)scores in the T2DM group were lower than those in the HC group(P＜0.05),the volumes of bilateral caudate nucleus,putamen,globus pallidus,thalamus,and right hippocampus in the T2DM group were lower than those in the HC group(P＜0.05),and the QSM values of left caudate nucleus,thalamus and bilateral globus pallidus in the T2DM group were higher than those in the HC group(P＜0.05).In the T2DM group,the volumes of bilateral thalamus and right hippocampus were positively correlated with MoCA score(left thalamus:r=0.326,P=0.012;right thalamus:r=0.373,P=0.004;right hippocampus:r=0.509,P＜0.001),and the QSM value of left thalamus was negatively correlated with MoCA score(r=-0.263,P=0.044).The mediating effect of right hippocampus volume and left thalamus QSM value was significant(P＜0.05),and the direct effect of FBG on cog-nitive score was significant(P＜0.05).Conclusion Brain deep gray matter nucleus atrophy and brain iron deposition are closely related to T2DM and cognitive impairment,and there is a mediating effect.Brain iron deposition will increase the risk of cognitive impairment in T2DM.

Objective To analyse the mediating effect of the pain beliefs on pain and fear of disease progression in patients with trigeminal neuralgia.Methods A convenience sampling method was employed to select hospitalised 220 patients with trigeminal neuralgia as research objects from 3 Grade IIIA hospitals.The selected study subjects were surveyed with a general information questionnaire,the numeric pain rating scale,pain beliefs and perceptions scale,and fear of disease progression short form.Structural equation model was used to verify the pathways that affected the pain and pain beliefs on fear of disease progression in patients with trigeminal neuralgia.Results A total of 214 patients with trigeminal neuralgia completed the survey.The mean score of fear of disease progression was 33.38±8.47,the mean score of pain was 8.25±1.44,and the mean score of pain beliefs was-2(-9,8).Spearman correlation analysis showed that fear of disease progression was positively correlated with the pain beliefs(r=0.746,P<0.01)and pain(r=0.838,P<0.01),and the pain beliefs were positively correlated with pain intensity(r=0.704,P<0.01).Pain beliefs partially mediated between the pain and fear of disease progression in patients with trigeminal neuralgia,with a mediating effect of 0.442,a direct effect of 0.482,and a total effect of 0.924.The mediating effect accounted for 47.84%of the total effect.Conclusion Patients with trigeminal neuralgia generally have a critical state of psychologicol disfunction of fear of disease progression,with a moderate to severe pain,and moderate pain beliefs.Pain intensity in patients with trigeminal neuralgia not only directly affects fear of disease progression but also indirectly affects it through pain beliefs.

Aim To study the effect of evodiamine(EVO)regulating forkhead box protein Ml(FOXM1)on the proliferation and apoptosis of colorectal cancer-resistant cells HCT8/5-FU.Methods CCK-8 assay and EdU assay were used to detect the effect of EVO on cell proliferation ability.Clone formation assay was employed to detect the effect of EVO on the clone for-mation ability of cells.Flow cytometric counting was applied to detect apoptosis.Western blot was utilized to detect the expression of cellular Bcl-2,Bax,FOXM1,β-catenin,c-MYC,and CyclinD1;Molecular docking was used to explore the EVO-FOXM1 interac-tion.Nude mouse transplant tumor model was estab-lished to validate the effect of EVO on HCT8/5-FU cells in vivo.Results CCK-8 assay showed that EVO inhibited the proliferation of HCT8/5-FU cells in a time-and concentration-dependent manner.EdU assay found that the newly proliferated cells in the EVO-trea-ted group were significantly reduced.The results of the clone formation assay showed that EVO inhibited the clone-forming ability of HCT8/5-FU cells.Flow cyto-metric counting found that apoptosis rate of the cells in the EVO group significantly increased.Western blot showed that FOXM1 and β-catenin were significantly highly expressed in HCT8/5-FU cells,and EVO down-regulated the expression of FOXM1,β-cateniin,c-MYC,CyclinD1,and Bcl-2,and up-regulated the ex-pression of Bax.Molecular docking revealed strong in-teractions between EVO and FOXM1.The in vivo ex-perimental results demonstrated that EVO exerted a substantial inhibitory effect on the growth of subcutane-ously implanted HCT8/5-FU xenograft tumors and regulated the expression of related proteins.HE stai-ning revealed significant nuclear consolidation and fragmentation of tumor cells in the EVO group.Con-clusions The findings suggest that EVO could sup-press the activation of the Wnt signaling pathway through a mechanism involving the downregulation of FOXM1 protein expression,thus inhibiting the prolifer-ation of HCT8/5-FU cells and induce their apoptosis.

To investigate the effect of baicalin (BAI)-loaded cross-linked lipoic acid nanocapsules (BAI@cLANCs) against hydrogen peroxide (H2O2)-induced senescence in human umbilical vein endothelial cells (HUVECs), this study examined the toxicity of BAI@cLANCs on HUVECs by MTT method. The cell nuclear staining, SA-β-gal staining, and MTT methods were used to assess the optimal concentration of H2O2-induced senescence in HUVECs. The cellular uptake of BAI@cLANCs was evaluated using fluorescence microscopy imaging and flow cytometry. The proportion of cellular senescence was determined by SA-β-gal staining. The level of reactive oxygen species (ROS) in senescent cells was detected by fluorescence microscopy imaging and multifunctional microplate reader. The content of malondialdehyde (MDA) in cells was detected by lipid oxidation detection kit, and the cell cycle was analyzed by flow cytometry with propidium iodide staining. The results showed that BAI@cLANCs had no significant effect on the growth of HUVECs in the range of BAI at 2.80−112 mmol/L. 200 μmol/L and 25 minutes were the ideal conditions for H2O2-induced senescence of HUVECs. cLANCs as drug delivery carriers significantly enhanced the uptake efficiency of BAI in HUVECs. Compared with the normal group, the H2O2 model group showed decreased cell viability, increased positive SA-β-gal staining rate, increased ROS and MDA content, as well as increased percentage of cells blocked in S phase and decreased cells entering G2/M phase. Compared with the H2O2 model group, BAI, cLANCs, BAI + cLANCs, and BAI@cLANCs groups showed increased cell viability, decreased positive SA-β-gal staining rate, decreased ROS and MDA content, decreased percentage of S-phase cells, and increased cells entering G2/M phase, with the best anti-aging effect in the BAI@cLANCs group. In summary, the results above showed that both BAI and cLANCs have anti-aging properties. With cLANCs as drug carriers, the anti-aging benefits of BAI@cLANCs are synergistic and can effectively delay H2O2-induced senescence of HUVECs.

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.

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 analyse the mediating effect of the pain beliefs on pain and fear of disease progression in patients with trigeminal neuralgia.Methods A convenience sampling method was employed to select hospitalised 220 patients with trigeminal neuralgia as research objects from 3 Grade IIIA hospitals.The selected study subjects were surveyed with a general information questionnaire,the numeric pain rating scale,pain beliefs and perceptions scale,and fear of disease progression short form.Structural equation model was used to verify the pathways that affected the pain and pain beliefs on fear of disease progression in patients with trigeminal neuralgia.Results A total of 214 patients with trigeminal neuralgia completed the survey.The mean score of fear of disease progression was 33.38±8.47,the mean score of pain was 8.25±1.44,and the mean score of pain beliefs was-2(-9,8).Spearman correlation analysis showed that fear of disease progression was positively correlated with the pain beliefs(r=0.746,P<0.01)and pain(r=0.838,P<0.01),and the pain beliefs were positively correlated with pain intensity(r=0.704,P<0.01).Pain beliefs partially mediated between the pain and fear of disease progression in patients with trigeminal neuralgia,with a mediating effect of 0.442,a direct effect of 0.482,and a total effect of 0.924.The mediating effect accounted for 47.84%of the total effect.Conclusion Patients with trigeminal neuralgia generally have a critical state of psychologicol disfunction of fear of disease progression,with a moderate to severe pain,and moderate pain beliefs.Pain intensity in patients with trigeminal neuralgia not only directly affects fear of disease progression but also indirectly affects it through pain beliefs.