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 prepare a nano drug(PFOB@Lip-MMC)with liposome as the carrier,liquid perfluorooc-tyl bromide(PFOB)as core and mitomycin C(MMC)loading on the liposome shell and study its inhibitory effect on the proliferation of human pterygium fibroblasts(HPFs).Methods The thin film dispersion-hydration ultrasonic method was used to prepare PFOB@Lip-MMC and detect its physical and chemical properties.Cell Counting Kit-8,Cam-PI cell viability staining and flow cytometry were employed to detect the impact of different concentrations of PFOB@Lip-MMC on the via-bility of HPFs.DiI fluorescence labeled PFOB@Lip-MMC was used to observe the permeability of the nano drug to HPFs under a laser confocal microscope.After establishing HPF inflammatory cell models,they were divided into the control group(with sterile phosphate-buffered saline solution added),PFOB@Lip group(with PFOB@Lip added),MMC group(with MMC added),PFOB@Lip-MMC group(with PFOB@Lip-MMC added)and normal group(with fresh culture medi-um added)according to the experimental requirements.After co-incubation for 24 h,flow cytometer was used to detect the apoptosis rate of inflammatory cells,and the gene expression levels of interleukin(IL)-1β,prostaglandin E2(PGE2),tumor necrosis factor(TNF)-α and vascular endothelial growth factor(VEGF)in cells were analyzed by PCR.Results The average particle size and Zeta potential of PFOB@Lip-MMC were(103.45±2.17)nm and(27.34±1.03)mV,respec-tively,and its entrapped efficiency and drug loading rate were(72.85±3.28)％and(34.27±2.04)％,respectively.The sustained-release MMC of drug-loaded nanospheres reached(78.34±2.92)％in vitro in a 24-hour ocular surface environ-ment.The biological safety of PFOB@Lip-MMC significantly improved compared to MMC.In terms of the DiI fluorescence labeled PFOB@Lip-MMC,after co-incubation with inflammatory HPFs for 2 h,DiI fluorescence labeling was diffusely dis-tributed in the cytoplasm of inflammatory HPFs.The apoptosis rate of inflammatory HPFs in the PFOB@Lip-MMC group[(77.23±4.93)％]was significantly higher than that in the MMC group[(51.62±3.28)％].The PCR examination results showed that the gene transcription levels of IL-1 β,PGE2,TNF-α and VEGF in other groups were significantly reduced com-pared to the control group and PFOB@Lip group,with the most significant decrease in the PFOB@Lip-MMC group(all P＜0.05).Conclusion In this study,a novel nano drug(PFOB@LIP-MMC)that inhibited the proliferation of HPFs was successfully synthesized,and its cytotoxicity was significantly reduced compared to the original drugs.It has good bio-compatibility and anti-inflammatory effects,providing a new treatment approach for reducing the recurrence rate after pte-rygium surgery.

Objective:To evaluate the reliability and validity of the Chinese version of HEMO-FISS-QoL(HF-QoL) questionnaire (HF-QoL-C) in the Chinese population with hemorrhoids.Methods:From November 2021 to November 2022, a self-constructed general information questionnaire, HF-QoL-C, and the 36-item short form health survey (SF-36), Goligher classification, and Giordano severity of hemorrhoid symptom questionnaire (GSQ) were used to conduct a questionnaire survey on 760 hemorrhoid patients in the anorectal department of six hospitals. The data was analyzed for reliability and validity using SPSS 21.0 and AMOS 26.0 software.Results:The Cronbach's α coefficient of HF-QoL-C and its dimension ranged from 0.831 to 0.960, and the split coefficient was 0.832-0.915. Four common factors were extracted through principal component exploratory factor analysis. Confirmatory factor analysis indicated acceptable structural validity( χ2/ df=8.152, RSMEA=0.097, CFI=0.881, IFI=0.881, NFI=0.867). HF-QoL-C was correlated with SF36 and GSQ( r=-0.694, 0.501, both P<0.01). There were differences in the total score and dimensional scores of HF-QoL-C between surgical and drug treated patients, different grades of Goligher classification for hemorrhoidal disease, and different ranges of hemorrhoid prolapse (all P<0.001). No ceiling effect was found in the total score and the scores of each dimension(0.3%-2.0%). There was a floor effect in both psychological function and sexual activity dimensions (16.7%, 35.1%). Conclusion:HF-QoL-C has good reliability and validity, which can be used to measure the quality of life of Chinese hemorrhoid patients.

OBJECTIVE To explore the pharmacodynamic related substances and mechanism of Weining San(WNS) against gastric ulcer(GU) according to fingerprint and network pharmacology. METHODS Twelve batches of WNS fingerprints were established by HPLC, and methodological investigation was carried out. Combined with reference substances, characteristic peaks were identified, pharmacodynamic related substances were screened, and network pharmacological analysis was carried out. Using TCMIP and Swiss Target Prediction database to retrieve component targets; Using OMIM, GeneCards and Drugbank databases to retrieve GU disease targets, taking the intersection targets of components and diseases, using String database to construct protein-protein interaction network diagram, and analyzing topological parameters; Using Cytoscape 3.8.2 software to construct "component-disease-target" network diagram; GO and KEGG enrichment analysis of intersection targets were carried out by Metascape website. Then the alcoholic GU mouse model was established by intragastric administration of absolute ethanol to verify the results of network pharmacology prediction. RESUITS　The precision, stability and repeatability of HPLC fingerprint method were good. By comparison and comprehensive analysis of control substances, notoginsenoside R1, ginsenoside Rg1, militarine, ginsenoside Rb1, schisandrin, schisandrol B, deoxyschizandrin and schisantherin A were identified as pharmacodynamic related substances in WNS, which may play their role by regulating core targets such as AKT1, IL-6, STAT3, TNF, IL1B and key signal pathways such as PI3K-Akt and JAK-STAT. The gastric ulcer index, ulcer inhibition rate and HE staining showed that WNS could improve gastric mucosal injury in GU mice. The results of ELISA, WST-1 and TBA showed that WNS could decrease the levels of TNF-α, IL-6, IL-1β and MDA, and increase the levels of SOD and PGE2, suggesting that the anti-GU effect of WNS was related to the inhibition of inflammatory reaction and oxidative stress mechanism, which further verified the prediction of network pharmacology. CONCLUSION This study combines fingerprint analysis, network pharmacology, and animal experimental validation to explore the pharmacodynamic related substances and mechanisms of WNS anti-GU efficacy, providing reference for quality control and clinical research of WNS.

Purpose/Significance To investigate and analyze the current status and influencing factors of digital health literacy(DHL)of the elderly,and to provide references for relevant departments.Method/Process The eHEALS scale is used to investigate the DHL status of 419 elderly people aged 60 and above in Shanghai through convenience sampling,and the influencing factors are explored through binary logistic regression analysis.Result/Conclusion Low education,smoking,and health anxiety are risk factors,while regular physical exami-nation is protective factor.Relevant departments should focus on the elderly people with lower education,and strengthen research and edu-cation on health examinations,smoking hazards,and the alleviation of anxiety.

A ratiometric fluorescent probe([Eu(Hpfdap)3(CTMR-Phen-N)])was designed and synthesized for detection of singlet oxygen(1O2)with dimethyl anthracyl-containing β-diketone compound 1,1,1,2-pentafluoro-5-(9',10'-dimethyl-2'-anthracene)-3,5-pentanedione(Hpfdap)as recognition ligand and 5-amino-1,10-phenanthroline conjugated with Rhodamine as auxiliary ligand(CTMR-Phen-N).The results of spectral analysis showed that the europium(Ⅲ)complex had almost no fluorescence due to the presence of anthracene ring in the probe.After reaction with 1O2,the anthracene ring was oxidized to endoperoxide,and the fluorescence of the europium(Ⅲ)complex at 614 nm was restored,followed by the increase of quantum yield from 1.60%to 25.16%.The fluorescence intensity of Rhodamine at 575 nm remained unchanged before and after the reaction with 1O2.Therefore,the ratio of fluorescence intensity at 614 nm and 575 nm could be used to measure 1O2 by the developed rationmetric fluorescence method.The probe showed good selectivity for 1O2,and the detection limit(S/N=3)was as low as 3 μmol/L.The fluorescence imaging results demonstrated that the probe had low cytotoxicity and good membrane permeability,and could be applied to fluorescence imaging of 1O2 in Hela cells.

The distribution of Ixodes and Ana plasma carried by Ixodes ticks in Anhui Province was clarified as reference for prevention and control of anaplasmosis.In total,630 hard ticks were collected from Jinzhai County,Hanshan County,Jing-de County and Chaohu City in Anhui Province from April to August 2023.Ticks were identified by morphological analysis and 16S rRNA sequencing.Nested PCR with Anaplasma species-specific primers were used to detect 16S rRNA of Anaplasma spe-cies carried by ticks.A phylogenetic tree was constructed using MEGA11.0 software.Of the identified ticks,18.8％(18/96)were Rhipicephalus microplus and 81.2％(78/96)were Haemaphysalis longicorni in Jinzhai County of Anhui Province,all were H.longicorni in Hanshan County and Chaohu City,while the main species in Jingde County was R.microplus.The posi-tive rate of Anaplasma carried by H.longicornis was 30.9％(102/330),which included A.bovis at 1.8％(6/330),A.phagocytophilum at 21.8％(72/330)and uncultured Anaplasma species at 7.3％(24/330).R.microplus was positively cor-related to A.bovis(13.6％,18/132).The uncultured Anaplasma species was mainly detected in host-free ticks.A.phagocy-tophilum was detected in 24.4％of parasitic ticks and 15.8％of host-free ticks.The positive rates of host-free and parasitic ticks were 19.9％and 17.8％,respectively.These results show that H.longicornis and R.microplus were the dominant ticks in several counties of Anhui Province.H.longicornis and R.microplus as well as free and parasitic ticks all carried Anaplas-ma.