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.

ObjectiveTo investigate the potential mechanism of Liangxue Tuizi Formula （凉血退紫方， LXTZF） in treating Henoch-Schönlein Purpura （HSP） by examining its regulatory effect on neutrophil extracellular trap （NETs） dysregulation via the rapidly accelerated fibrosarcoma kinase （RAF）/mitogen-activated protein kinase （MEK）/extracellular signal-regulated kinase （ERK） signaling pathway. MethodsSeventy Wistar rats were randomly allocated into a blank control group （n=14） and a modeling group （n=56）. Rats in the modelling group underwent an eight-week modelling period to establish HSP rat models with blood-heat syndrome via modified ovalbumin （OVA） induction method combined with oral administration of heat-property Chinese herbal medicine. Fifty successfully modeled rats were subsequently randomly divided into five groups （n=10 per group）， model group， compound glycyrrhizin group， LXTZF group， RAF inhibitor group， and LXTZF + RAF agonist group. Additionally， 10 rats were selected from the original blank control group for the final experiment. From the 11th week of modelling， rats in the blank control group and the model group received 1 ml/（100 g·d） ultrapure water via oral administration， in addition to 0.5 ml/（kg·d） 0.9% sodium chloride solution via intraperitoneal injection. The LXTZF group and the compound glycyrrhizin group received 7.5 g/（kg·d） LXTZF granule suspension via gavage， 13.5 mg/（kg·d） compound glycyrrhizin suspension via gavage， respectively. The RAF inhibitor group received 1 mg/（kg·d） GW5074 suspension via intraperitoneal injection and ultrapure water via oral administration； the LXTZF + RAF agonist group received 7.5 g/（kg·d） LXTZF granule suspension via gavage and 1 mg/（kg·d） paclitaxel suspension via intraperitoneal injection. All administrations were performed once daily for 4 weeks. After intervention， skin tissue histopathology was examined by hematoxylin and eosin （H&E） staining， immunoglobulin A （IgA） deposition was assessed via immunofluorescence， serum levels of neutrophil elastase （NE）， tumor necrosis factor-α （TNF-α）， and vascular cell adhesion molecule-1 （VCAM-1） were measured using enzyme-linked immunosorbent assay （ELISA）， serum myeloperoxidase （MPO） level was determined by a colorimetric assay； the mRNA expression levels of RAF， MEK， and ERK in skin tissue were detected by real-time quantitative polymerase chain reaction （RT-qPCR）； and the protein expression of RAF， MEK， ERK， as well as phosphorylated MEK （p-MEK） and phosphorylated ERK （p-ERK）， were analyzed by Western Blot. ResultsSkin tissue in the blank control group rats remained normal， whereas the model group exhibited neutrophil infiltration and haemorrhage with red blood cell rupture. In all drug intervention groups， neutrophil infiltration and haemorrhagic exudation reduced markedly， with LXTZF group demonstrating the most pronounced improvement. Compared with the blank control group， rats in the model group exhibited enhanced IgA fluorescence intensity in skin tissue， elevated serum levels of NE， MPO， TNF-α and VCAM-1， increased mRNA expression of RAF， MEK， ERK1 and ERK2， as well as heightened RAF protein levels and p-MEK/MEK and p-ERK/ERK ratios （P＜0.05）. Compared with the model group， the drug intervention groups exhibited reduced IgA fluorescence intensity in skin tissue， along with decreased serum levels of NE， MPO， TNF-α， and VCAM-1 （P＜0.05）. In LXTZF group and RAF inhibition groups， reduced mRNA expression of RAF， MEK， ERK1， and ERK2 was observed in rat skin tissue， alongside decreased RAF protein levels and reduced p-MEK/MEK and p-ERK/ERK ratios （P＜0.05）. Compared with LXTZF + RAF agonist group， the compound glycyrrhizin group， LXTZF group， and RAF inhibitior group exhibited reduced IgA fluorescence intensity in skin tissue， decreased serum NE， MPO， TNF-α， and VCAM-1 levels， and decreased MEK mRNA expression and p-MEK/MEK ratio （P＜0.05）. ConclusionThe potential mechanism by which LXTZF treats Henoch-Schönlein purpura with blood heat syndrome may involve blocking the RAF/MEK/ERK signaling pathway in skin tissue， and suppressing excessive formation of NETs， thereby reducing IgA deposition in dermal microvessels and attenuating systemic inflammatory responses.

Objective:To identify key genes involved in LPS-induced acute lung injury(ALI)using GEO database,to eluci-date its pathogenesis and discover potential therapeutic drugs.Methods:Gene expression data from LPS-induced ALI was collected by GEO database,and microbiotics online analysis platform was employed to identify differential expression genes,from which core genes were obtained.Metascape and DAVID were used for GO and KEGG enrichment analysis of these core genes to identify pathways associated with ALI.GSEA and protein interaction analysis were performed for these pathways for identification of core targets.Poten-tial therapeutic drug,kaempferol-3-O-α-L-(4″-E-p-coumaroyl)-rhamnoside(KAE)was validated by animal experiments.Results:Two GEO datasets were incorporated and 261 core genes with differential expression were identified.Data visualization indicated that LPS-induced ALI predominantly involved inflammatory pathways,such as TNF and NF-κB.In vivo validation was conducted in mice on two core targets within this pathway:NF-κB and NLRP3,potential therapeutic drug KAE was administered,which was found to mitigate LPS-induced lung tissue damage.Further investigations demonstrated that KAE could effectively improve ALI by reducing expressions of p-NF-κB,NLRP3 and other proteins.Conclusion:This study markes screening of LPS-induced ALI model within GEO database.Above findings reveal predominant involvement of NF-κB and NLRP3 within TNF and NF-κB signaling pathways in LPS-in-duced ALI.KAE has potential for ALI treatment by down-regulating expressions of p-NF-κB,NLRP3 and other proteins,expecting to be a candidate drug for ALI treatment.

Objective:To identify key genes involved in LPS-induced acute lung injury(ALI)using GEO database,to eluci-date its pathogenesis and discover potential therapeutic drugs.Methods:Gene expression data from LPS-induced ALI was collected by GEO database,and microbiotics online analysis platform was employed to identify differential expression genes,from which core genes were obtained.Metascape and DAVID were used for GO and KEGG enrichment analysis of these core genes to identify pathways associated with ALI.GSEA and protein interaction analysis were performed for these pathways for identification of core targets.Poten-tial therapeutic drug,kaempferol-3-O-α-L-(4″-E-p-coumaroyl)-rhamnoside(KAE)was validated by animal experiments.Results:Two GEO datasets were incorporated and 261 core genes with differential expression were identified.Data visualization indicated that LPS-induced ALI predominantly involved inflammatory pathways,such as TNF and NF-κB.In vivo validation was conducted in mice on two core targets within this pathway:NF-κB and NLRP3,potential therapeutic drug KAE was administered,which was found to mitigate LPS-induced lung tissue damage.Further investigations demonstrated that KAE could effectively improve ALI by reducing expressions of p-NF-κB,NLRP3 and other proteins.Conclusion:This study markes screening of LPS-induced ALI model within GEO database.Above findings reveal predominant involvement of NF-κB and NLRP3 within TNF and NF-κB signaling pathways in LPS-in-duced ALI.KAE has potential for ALI treatment by down-regulating expressions of p-NF-κB,NLRP3 and other proteins,expecting to be a candidate drug for ALI treatment.

BACKGROUND:Minimally invasive surgery is developing rapidly.Robot-assisted minimally invasive transforaminal lumbar interbody fusion and robot-assisted unilateral biportal endoscopic transforaminal/posterior lumbar interbody fusion are important posterior minimally invasive surgical approaches to treat lumbar degenerative diseases.However,it is worth discussing which operation method is more advantageous. OBJECTIVE:To compare the clinical efficacy and imaging examination between different operation groups,and discuss the clinical application value of robot-assisted minimally invasive lumbar posterior fusion technology to treat lumbar degenerative diseases. METHODS:Clinical data of 83 patients with lumbar degenerative diseases from January 2018 to June 2022 at the Department of Orthopedics,Sichuan Academy of Medical Sciences&Sichuan Provincial People's Hospital were retrospectively analyzed.Of them,27 patients received robot-assisted minimally invasive transforaminal lumbar interbody fusion treatment(group A);30 patients received robot-assisted unilateral biportal endoscopic transforaminal/posterior lumbar interbody fusion treatment(group B),and 26 traditional minimally invasive transforaminal lumbar interbody fusion patients were selected as the control group(group C).There were no significant differences in gender,age,body mass index,surgical segment,preoperative visual analog scale score and Oswestry Disability Index among the three groups(P＞0.05).The operation time,intraoperative blood loss,complications,fluoroscopic dose,fluoroscopic time,and fluoroscopic frequency were compared among the three groups.Gertzbein-Robbins'classification was used to evaluate the accuracy of percutaneous pedicle screw.Visual analog scale and Oswestry Disability Index scores were evaluated after surgery.The excellent and good rate of the three surgical options was evaluated using Macnab's criteria. RESULTS AND CONCLUSION:(1)The operation time of group A was significantly shorter than that of groups B and C(P＜0.05),but there was no significant difference between group B and group C(P＞0.05).The intraoperative blood loss in group B was significantly less than that in group A,and that in group A was significantly less than that in group C(P＜0.05).(2)The fluoroscopic dose,fluoroscopic time,and fluoroscopic frequency of group C were significantly higher than those of groups A and B(P＜0.05).(3)Visual analog scale score and Oswestry Disability Index in the three groups significantly improved after operation when compared with that before operation(P＜0.05),but there was no significant difference among the three groups 1 day and 6 months after surgery(P＞0.05).(4)Postoperative imaging showed that the accuracy of percutaneous pedicle screw placement in groups A and B was better than that in group C(P＜0.05).(5)There was no significant difference in the excellent and good rate of MacNab criteria among the three groups(P＞0.05).(6)There was no significant difference in complications among the three groups(P＞0.05).(7)The results indicated that robot-assisted minimally invasive transforaminal lumbar interbody fusion and robot-assisted unilateral biportal endoscopic transforaminal/posterior lumbar interbody fusion are effective surgery methods for lumbar degenerative diseases.Compared with traditional minimally invasive transforaminal lumbar interbody fusion,robot-assisted minimally invasive transforaminal lumbar interbody fusion surgery has higher efficiency,less intraoperative radiation and higher internal fixation accuracy,which has a good clinical application value.

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.

OBJECTIVE To rapidly analyze the chemical constituents of Rubus sachalinensis Leveille by HPLC-Q-Exactive-MS/MS. METHODS Chromatographic separation was carried out on CAPCELL PAK MGII C18(4.6 mm×250 mm, 5 μm) column at the temperature of 30 ℃. The mobile phase was acetonitrile-0.1% formic acid by gradient elution, with a flow rate of 1.0 mL∙min−1, and the injection volume of 20 µL. The MS spectrum was acquired in negative ion modes using HESI ion source. RESULTS The molecular and structural formulae of the compounds were determined based on the exact mass number and ChemSpider and PubChem databases. By comparing the retention time of the corresponding reference standards and those reported in the literature, primary mass spectra, and secondary mass spectrometry pyrolysis fragments, combined with fragmentation regularity of such compounds, a total of 71 compounds were identified from Rubus sachalinensis Leveille, including 30 organic acids, 22 flavonoids, 7 triterpenoid saponins, 5 coumarins, 1 lignan, 1 gallotannin and 2 aromatic compounds. CONCLUSION This method can quickly and accurately identify the complex chemical constituents in Rubus sachalinensis Leveille, and provide scientific basis for the basic research on the medicinal substances of Rubus sachalinensis Leveille.