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.

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.

Objective:To understand the serological characteristics of irregular antibodies in pregnant women and explore their clinical significance.Methods:From January 2017 to March 2022,151 471 pregnant women in Women and Children's Hospital of Chongqing Medical University were enrolled in this study,microcolumn gel card test was used for irregular antibody screening,and antibody specificity identification was further performed in some antibody-positive subjects.Results:The positive rate of irregular antibody screening in the enrolled pregnant women was 0.91％(1 375/151 471),0.23％(355/151 471)was detected in the first trimester,0.05％(71/151 471)in the second trimester,and 0.63％(949/151 471)in the third trimester.The positive rate of irregular antibody screening in the third trimester was significantly higher than that in the first and second trimester,and a significant increase in the number of positive cases was found in the third trimester than that in the second trimester.The analysis of agglutination intensity of 1 375 irregular antibody screening positive results showed that the weakly positive agglutination intensity accounted for 50.11％(689/1 375),which was the highest,the suspicious positive was 18.69％(257/1 375),and the positive was 31.20％(429/1 375).The significant difference in distribution of agglutination intensity was not observed between the first trimester group and the second trimester group,however,in the third trimester,the proportion of suspicious positive and weakly positive was lower than the first trimester,while,the proportion of positive was higher than the first trimester,and the difference was statistically significant(P＜0.001).Among the irregular antibody screening positive pregnant women,the proportion of pregnant women with pregnancy number ≥ 2 was significantly higher than that with pregnancy≤1.Among 60 pregnant women who underwent antibody identification,the distributions of the antibodies were as follows:Rh blood group system accounted for 23.33％(14/60),Lewis system 43.33％(26/60),Kidd system 3.33％(2/60),MNS system 16.67％(10/60),P1PK system 1.67％(1/60),autoantibodies 1.67％(1/60),and 4 cases was unable to identify(6.67％,4/60).Among specific antibodies,the anti-Lea was the most common(30.00％),followed by anti-E(16.67％)and anti-M(16.67％).Conclusion:The differences of irregular antibody serological characteristics exist in pregnant women from different regions with different genetic backgrounds,understanding the characteristics of irregular antibody in local pregnant women is of great significance for ensuring transfusion safety in pregnant women and preventing hemolytic disease of newborn.

Objective:To analyze the distribution characteristics of Rh phenotype in pregnant and postpartum women in Chongqing area,and to explore the clinical significance of Rh phenotype in pregnant and postpartum women and the feasibility of Rh phenotype compatible blood transfusion.Methods:The ABO blood group and Rh phenotype of 65 161 pregnant and postpartum women were detected by microcolumn gel method,and 48 122 males in the same period were taken as controls.The data were analyzed by Chi-square test.Results:There were 112 870 cases(99.64％)of RhD+in 113 283 samples.In RhD+cases,CCDee(48.39％)and CcDEe(32.88％)were the main phenotypes.The first case of D--phenotype in Chongqing area was detected.413 cases(0.36％)of RhD-were detected,with ccdee(52.78％)and Ccdee(33.41％)as the main phenotypes.Compared with RhD-group,RhD+group showed statistically significant difference in Rh phenotype distribution(P＜0.01).Among 65 161 maternal samples,the positive rate of 5 antigens of Rh blood group from high to low was D＞e＞C＞c＞E,and there was no significant difference compared with male samples(P＞0.05).There was no significant difference in the distribution of Rh phenotype between males and pregnant/postpartum women,as well as between pregnant/postpartum women with different ABO blood groups(P＞0.05).In pregnant and postpartum women,there was no significant difference in distribution of Rh phenotype among the normal pregnancy population,the population with adverse pregnancy history,the population using human assisted reproductive technology(ART)and the population with infertility(P＞0.05).There was no significant difference in the distribution of Rh phenotype between the 4 populations mentioned above and the inpatients in the local general Grade A hospitals and the blood donors(P＞0.05).In RhD positive pregnant and postpartum women,the probability of finding compatible blood for CcDEe phenotype was 100％,the probability of finding compatible blood for CCDee,CcDee and CCDEe phenotypes was 45％-60％,the probability of finding compatible blood for ccDEE,ccDEe and CcDEE phenotypes was 5％-10％,and the probability of finding compatible blood for other phenotypes was lower than 0.5％.The supply of blood with CCDee and ccDEE phenotypes can meet the compatible transfusions requirements of 7 Rh phenotypes in more than 99％of patients.Conclusion:Rh phenotype detection should be carried out for pregnant and postpartum women,and it is feasible to carry out Rh phenotype-matched or compatible blood transfusion for pregnant and postpartum women who need blood transfusion.

Objective To develop a risk prediction model based on the influencing factors of chemotherapy-in-duced oral mucositis in patients with hematologic tumors,and to verify the effect.Methods A case-control study was conducted to retrospectively collect the data of 444 adult patients with hematological malignancies who under-went chemotherapy in the hematology department of a tertiary hospital in Wuhan from March 2021 to January 2022.Univariate analysis,collinearity diagnosis and binary logistic regression analysis were used to explore influenc-ing factors for chemotherapy-induced oral mucositis in patients with hematologic tumors,and then a prediction mod-el which was presented with nomogram was constructed.Receiver operating characteristic,Hosmer Lemeshow and calibration charts were used to verify the predictive effect of the model,and Bootstrap resampling method was used for internal verification of the prediction model.The clinical data of 171 patients with hematologic malignancies who underwent chemotherapy in the hematology department of 2 tertiary hospitals in Wuhan from February to Oc-tober 2022 were prospectively collected for external verification.Results History of oral lesions,treatment methods,high-dose chemotherapy,vomiting,combined chemo-therapy,platelet count,and hemoglobin were independent predic-tive factors of chemotherapy-induced oral mucositis in patients with blood tumors.The area under the curve of the model was 0.822,and Hosmer-Lemeshow test P=0.602.After internal verification and external verification,the area under the curve of the model was 0.813 and 0.735,respectively.Hosmer-Lemeshow test were 0.115 and 0.820,re-spectively.These calibration charts showed that the observed results of the model were consistent with the predicted results.Conclusion The risk prediction model of chemotherapy-induced oral mucositis in hematologic tumor pa-tients has good predictive performance and extrapolation,which is an effective screening tool to help medical staff identify the high-risk patients with chemotherapy-induced oral mucositis early.

Objective:To analyze the genetic evolution and molecular characteristics of H7N9 avian influenza virus (AIV) isolated in a live poultry market.Methods:Samples such as poultry feces, sewage, and hair removal machine and chopping board swabs were collected. Real-time fluorescent quantitative PCR was used to detect influenza A virus and H7N9 AIV in the samples. The whole genome of H7N9 AIV was amplified with influenza A virus universal primers and sequenced. BLAST and MEGA X were used for sequence alignment, phylogenetic analysis and molecular characterization.Results:Seven poultry-related environment samples were collected in the live poultry market in Xuchang city in February 2023, and four were positive for H7N9 AIV. The whole genome sequences of three H7N9 AIV isolates were successfully obtained, and the isolates shared high nucleotide identity in different genes (98.37%-100.00%). BLAST analysis showed they were highly identical to H7N9 strains isolated from domestic poultry in China from 2020 to 2021. Genetic evolution analysis showed that the three isolates clustered in the same branch and were closer to the recent environmental isolates than to the recent strains isolated from human or avian. Through comparison with the sequences of the representative strains in different periods, it was found that the isolated strains in this study showed high avian pathogenicity with four amino acids KRAA inserted at the cleavage site; the hemagglutinin receptor-binding site was QSG, which was an avian binding receptor; there was a G186I mutation in hemagglutinin. Mammalian-adaptive mutation E627K was not detected in polymerase basic protein 2. Mutations (R292K and I38T) associated with drug resistance to neuraminidase inhibitor (oseltamivir) and polymerase acidic protein inhibitor (baloshavir) were not detected, suggesting that these isolates remained susceptible to these drugs. A S31N mutation was found in M2 protein, indicating they were resistant to alkamines.Conclusions:The three H7N9 AIV strains isolated in the live poultry market have high avian pathogenicity, but there are no significant increase in mutations related to the binding ability to human receptors, mammalian pathogenicity, viral transmissibility, or drug resistance as compared with previous representative strains causing human or avian infection.

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.