Objective To assess cervical cancer and human papillomavirus(HPV)vaccine awareness and analyze the influencing fac-tors among rural Kazakh women aged 25 to 64 years in the Tacheng region of Xinjiang.Methods Overall 2000 rural Kazakh women(aged 25 to 64 years)were selected using a township-based cluster sampling method from the five townships in Toli County,Tacheng Region,for an interview-based questionnaire survey.Study participants were divided into screened and unscreened groups according to whether they had participated in screening in the past,and their cognitive levels were compared.Based on their cognitive scores,the study participants were divided into low-and high-cognitive groups,and the χ2 test and logistic regression were used to analyze the influencing factors.Results The awareness level of HPV and cervical cancer screening among the 1 885 study participants ranged from 1.91%to 13.32%,and was higher in the screened group than in the unscreened group(P<0.001).The analysis found that annual household income had an independent influence on the level of awareness of HPV and cervical cancer screening(P<0.001),and the level of awareness grad-ually increased with the increase in annual household income.The awareness rate of the HPV vaccine was>95%,and the willingness to vaccinate children was<10%.The analysis found that education level and annual household income independently influenced the level of awareness of the HPV vaccine(P<0.001),and women with high school education and an annual household income of 30 000 to 60 000 had a high rate of awareness of the HPV vaccine(OR=2.595,95%CI:1.069-6.302;OR=2.876,95%CI:1.630-5.076).Conclusion Rural Kazakh women in Tori County of Xinjiang have a low level of cervical cancer screening awareness,a high HPV vac-cine awareness rate,and a negative attitude toward HPV vaccination for their children.Educational level and annual household income are factors affecting the awareness level of cervical cancer screening and HPV vaccination.Health education should be carried out according to local and individual needs to improve rural women's awareness levels and promote efficient implementation of cervical cancer preven-tion and control measures.

Objective To establish a liver-specific Rbp4 gene knockout mouse model and to explore the effect of liver Rbp4 gene deletion on glucose metabolism.Methods Cre-LoxP technology was used to construct a liver-specific Rbp4 gene knockout mouse model using C57/BL6J and Alb-Cre mice.The genotype of the mice was identified by polymerase chain reaction and agarose gel electrophoresis.Ten 18 week old C57/BL6J male mice were included in the WT group,10 flox homozygous and Alb-Cre negative mice of the same age were included in the experimental control group(Rbp4flox/flox:Cre-),and 10 flox homozygous and Alb-Cre positive mice of the same age were included in the experimental group(Rbp4flox/flox:Cre+).Expression levels of RBP4 protein and mRNA in the liver were verified by Western Blot and quantitative reverse transcription-polymerase chain reaction(qRT-PCR),respectively,and expression levels of Rbp4 mRNA in other tissues were detected by qRT-PCR.Morphological changes in liver tissue were detected by hematoxylin and eosin staining.Blood glucose values were detected in mouse tail vein blood samples using a blood glucose meter,and glucose tolerance and insulin tolerance were determined.Expression levels of the liver glucose metabolism genes phosphoenolpyruvate carboxylase(Pepck)and glucose-6-phosphatase(G6pase)were detected by qRT-PCR.Results Liver-specific Rbp4 knockout mice were successfully bred and identified.RBP4 protein and mRNA levels were significantly decreased in the liver of Rbp4flox/flox:Cre+mice(P＜0.05),but there was no significant difference in the relative expression levels of Rbp4 mRNA in fat,kidney,pancreas,spleen,heart,or muscle tissues among the three groups(P＞0.05).Liver-specific Rbp4 knockout had no significant effect on liver morphology,glucose tolerance,or insulin tolerance(P＞0.05).Pepck mRNA levels in the liver differed significantly among the three groups(P＜0.05),and pairwise comparison showed that liver Pepck mRNA levels were significantly lower in Rbp4flox/flox:Cre+mice compared with levels in Rbp4flox/flox:Cre-mice(P＜0.05).There was no significant difference in liver glucose-6-phosphatase(G6pase)mRNA expression among the three groups(P＞0.05).Conclusions We successfully constructed a liver-specific Rbp4 knockout mouse model.Deletion of Rbp4 in the liver inhibited expression of Pepck mRNA in the liver,thus providing a basis for further exploration of the role of this gene in glucose metabolism in mice.

Objective Utilizing transcriptomic sequencing,this study aimed to monitor the expression alterations of GIMAP8 and SEC14L5 throughout the progression of pulmonary fibrosis,thereby providing insights into the underlying mechanisms of its pathogenesis and evolution.Methods C57BL/6 male mice were assigned in a randomized manner to either the Silica or PBS group.The Silica group underwent non-exposed endotracheal intubation on days 0 and 14 with 50 μL 100 mg/mL silica suspension,while the control group received 50 μL phosphate-buffered saline solution.On day 28,lung function was detected and the mice were sacrificed,and lung morphology,fibrosis,and mRNA levels were observed.Results When contrasted with individuals in good health,a differential expression analysis of mRNA in patients with pneumoconiosis identified a total of 584 mRNAs with significant expression differences.Among these,the expression of 242 mRNA was observed to be markedly elevated,while that of 342 mRNA was found to be considerably diminished.The enrichment analysis indicated that the primarily affected mRNAs with altered expression were associated with pathways such as p53,nuclear factor-κB,tumor necrosis factor,AMP-activated protein kinase,and other signaling pathways.In the Silica mice,the alveolar structures were compromised,characterized by the presence of collagen fiber accumulation and the formation of fibrous masses.In contrast,the PBS mice maintained a normal pulmonary architecture.GIMAP8 expression was up-regulated whereas SEC14L5 expression was down-regulated in lung tissues in the Silica mice,and mice in the Silica group had poorer lung function.Conclusions The onset and progression of pulmonary fibrosis may be significantly influenced by GIMAP8 and SEC14L5 expression in patients with pneumoconiosis and in silicosis animal models.This association could serve as a foundational molecular insight,paving the way for the development of preventative and therapeutic strategies against these conditions.

Objective To comprehensively analyze the circulatory RNA-long non-coding RNA-microRNA-messenger RNA(circRNA-lncRNA-miRNA-mRNA)network in cervical cancer and construct a prognostic model.Methods Differential and key genes were ana-lyzed using bioinformatics based on data from The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO)databases.Prognostic mRNA models were constructed based on TCGA database using univariate,Least Absolute Shrinkage and Selection Operator(LASSO),and multivariate Cox regression analyses and validated using the GEO database.The R package and Cystoscape software were used to construct a nomogram model and competing endogenous(ceRNA)network of circRNA-lncRNA-miRNA-mRNA in cervical cancer.Results A prognostic model including five mRNAs was constructed using univariate,LASSO,and multivariate Cox regression analyses,which had area under the receiver operating characteristic curve AUC values of 0.71,0.71,and 0.70 at 1,2,and 3 years,respec-tively,indicating its sensitivity and specificity in cervical cancer prognosis.Predictive results were validated using the GSE44001 dataset.The C-index of the nomogram model for this prognostic model was 0.707.In this study,a ceRNA network comprising 39 circRNAs,27 lncRNAs,12 miRNAs,and five mRNAs was constructed.Conclusion The network constructed in this study can help comprehensively elucidate the mechanism of ceRNAs in cervical cancer,and the construction of prognostic and Nomogram models can predict patient prog-nosis.

Objective:To evaluate the development context and hot trends in healthy aging research in China and abroad with visual analysis.Methods:Using “healthy aging” and “aging well” as search terms, relevant literatures in the field of healthy aging were retrieved in the databases of CNKI, WanFang, VIP, CBM, PubMed and Web of Science. The search period was from January 2004 to December 2023. Based on the principle of bibliometrics, with the help of visualization analysis software such as CiteSpace and VOS viewer, the scientific knowledge map was drawn for the number of relevant research publications, author cooperation, publishing institutions, research hotspots and trends.Results:A total of 1 322 Chinese articles and 2 569 English articles were included, and the number of articles published in Chinese and English showed an upward trend as a whole. The Chinese literature included 2 381 scholars, with 83 core authors. The top three most published authors were Hu Zhi (14 articles), Qin Xia (13 articles) and Lu Jiehua (10 articles). The English literature contained 13 989 scholars with close communication and cooperation, of which there are 391 core authors; among the top 15 authors, 8 are American scholars. The top 3 institutions in terms of Chinese literature volume were Peking University (38 articles), Fudan University (20 articles) and Anhui Medical University (20 articles), while the top 3 institutions in English literature volume were University of Pittsburgh (127 articles), University College London (79 articles) and University of Sydney (78 articles). A total of 605 keywords were included in Chinese literatures, and there were 886 connections among the keywords of the literature. The keywords appeared most frequently except subject words were medical and nursing combination (103 times), health status (78 times) and active aging (77 times). There were 11 clustering modules in Chinese literature cluster analysis and 6 clustering modules in English literature. The research on healthy aging in China could be roughly divided into three stages, namely 2004—2009, 2010—2018 and 2019—2023. In recent 4 years, the prominent words in Chinese literature were “aging work” “positive view of old age”“policy supply”“old-age service system”“elderly health service” and“aging society”，while the prominent words in English literature were “senescence”“perspective” and “public health”.Conclusions:The popularity of healthy aging research is on the rise overall, and the number of articles and cooperative relations in English is higher than that in Chinese. At present, the main research hotspots are policy supply, elderly health services, public health and wide variation in China and abroad.

Objective To explore the relationship between single nucleotide polymorphisms at the rs2231142(G/T)locus of the ABCG2 gene and susceptibility to hyperuricemia.Methods A total of 865 male study subjects were collected from the Affiliated Hospital of Traditional Chinese Medicine of Xinjiang Medical University,the People's Hospital of Xinjiang Uygur Autonomous Region,and the First Affiliated Hospital of Xinjiang Medical University and other hospitals from 2018 to 2020,their blood samples were collected,and they were divided into hyperuricemia group(n=367)and healthy control group(n=498)according to blood uric acid levels.Multiplex fluorescent polymerase chain reaction(PCR)was used to detect the genotype of the rs2231142(G/T)locus of the ABCG2gene and to ob-serve the gene polymorphism in the two groups.The effect of this sequence on luciferase expression activity was confirmed by dual lucifer-ase reporter gene experiment.Results The values of uric acid,body mass index,glucose,creatinine,triglycerides,diastolic blood pres-sure,high density lipoprotein and low density lipoprotein in the hyperuricemia group were higher than those in the control group,and the differences were statistically significant(P＜0.05).The gene rs2231142(G/T)loci met the HWE equilibrium test of the two groups(P＞0.05),indicating that the locus is representative of the population.There were statistically significant differences in the distribution frequencies of GG,GT,and TT genotypes in the hyperuricemia group and healthy control group(x2=17.146,P＜0.001),and there were also statistically significant differences in the distribution frequencies of alleles G and T between the two groups(x2=19.115,P＜0.001).TT genotypes were expressed as risk factors for hyperuricemia in different genetic models(additive model OR=2.302,95％CI:1.472-3.603;explicit model OR=1.689,95％Cl:1.283-2.210;recessive model OR=1.867,95％CI:1.221-2.874).The differences in uric acid,glucose and triglycerides among the different genotype subgroups were statistically significant(P＜0.05).The results of the pair comparison showed that there were significant differences in uric acid,glucose and triglyceride levels between the G/T group and G/G group,T/T group and G/G group(P＜0.05).The level of uric acid in T/T group was the highest,the level of glucose and triglyceride in G/G group was the highest.The results of double luciferase activity assay showed that rs2231142(G/T)had promoter function;and the expression level of the recombinant plasmid luciferase reporter gene containing the G allele was higher than that of the re-combinant plasmid containing the T allele by 1.120 fold(P=0.012).Conclusion There is an association between single nucleotide polymorphisms at the rs2231142(G/T)locus of the ABCG2gene and susceptibility to hyperuricemia,and the T allele may be a risk factor for hyperuricemia.

Objective To construct and validate the risk prediction model for the occurrence of caesarean scar pregnancy(CSP)in women with re-pregnancy after cesarean section.Methods A total of 663 women with re-pregnancy after cesarean section in Urumqi Maternal and Child Health Hospital from 2018 to 2022 were collected,and randomly divided the training set(n=460)and the test set(n=203)according to 7∶3,the cases of the training set were divided into the CSP group(n=239)and the non-CSP group(n=221),and the risk factors for the occurrence of CSP were evaluated by univariate and multivariate Logistic regression analysis.Based on the a-bove results,a nomogram model was constructed,validated and evaluated in the test set and the training set,respectively.The predictive efficacy of the model was evaluated by area under the curve(AUC)of receiver operating characteristic(ROC)and the Hosmer-Leme-show test,and the clinical application value of the model was evaluated by clinical decision curve analysis(DCA).Results The results of multivariate Logistic regression analysis showed that the number of cesarean section＞1,posterior uterine position,the number of mis-carriages＞1,CSD,the history of miscarriage between the current pregnancy and the previous cesarean section were the risk factors for the occurrence of CSP(P＜0.05),and the timing of cesarean section was the protective factor for the occurrence of CSP in the course of labor(P＜0.05).Based on the above results,the nomogram prediction model was constructed,the AUC of the model in the training set was 0.813(95％CI:0.773-0.852),and the AUC of the model in the test set was 0.817(95％CI:0.755-0.878).Hosmer-Lemeshow goodness-of-fit test for the training set and the test set model was well fitted(x2=7.647,P=0.469;x=6.162,P=0.629).The calibration curve showed that the model had good consistency in predicting the occurrence of CSP in re-pregnancy after cesarean section,and the DCA curve showed that the model had high clinical efficacy in both the training set and the test set.Conclusion The prediction model constructed in this study can effectively predict the occurrence of CSP,which can provide references for early identification and pre-ventive treatment for high-risk populations.

Objective To apply the improved DeepLabV3+based image semantic segmentation algorithm to the ultrasound image processing for hepatic cystic echinococcosis,thereby achieving automatic segmentation and detection of hepatic echinococcosis lesions,and improving clinical diagnostic efficiency.Methods DeepLabV3+based image semantic segmentation network was employed as the basic method,and the following improvements were made.To address the issues of high computational complexity,high memory consumption,difficulty in deploying on embedded platforms with limited computing power,and difficulty in fully utilizing multi-scale information when extracting image feature information,the original backbone network Xception of the model was replaced with MobileNetV2 for obtaining a lightweight model framework.Additionally,efficient channel attention was applied to underlying features for reducing computational complexity and improving the clarity of target boundaries;and finally,Dice Loss was introduced into the model to alleviate the problem of the model focusing more on the background area and ignoring the foreground area containing the target.Results Validation was conducted on 5 lesion types in the self-built VOC2007 dataset of hepatic cystic echinococcosis.Experimental results showed that the improved model achieved a mean intersection over union of 73.8 and a mean pixel accuracy of 83.5,indicating that the model can predict more precise semantic segmentation results and effectively optimize model complexity and segmentation accuracy.

Objective To explore the relationship among serum vitamin D,calcium ion,blood lipid lev-els and preeclampsia in pregnant women,and analyze the pregnancy outcomes of pregnant women with pre-eclampsia.Methods A total of 166 pregnant women with preeclampsia who underwent pregnancy examina-tion and delivered in Urumqi Municipal Maternal and Child Health Care Hospital from January 1,2021 to Jan-uary 1,2023 were selected as the observation group,and 200 healthy pregnant women during the same period were selected as the control group.The levels of serum vitamin D,calcium ion,phosphorus ion,blood lipid in-dicators,uric acid,and creatinine were detected in the two groups,and the pregnancy complications and preg-nancy outcomes were observed.The influencing factors of preeclampsia were analyzed by using multivariate logistic regression model.Results The levels of serum vitamin D,calcium ion,and high density lipoprotein in the observation group were lower than those in the control group,and the levels of serum uric acid and creati-nine were higher than those in the control group,with statistical significance(P＜0.05).The incidence of fetal growth retardation,placental abruption,oligohydramnios,cesarean section,low birth weight infants,premature delivery,and postpartum hemorrhage in the observation group were significantly higher than those in the con-trol group(P＜0.05).Multivariate logistic regression analysis showed that serum vitamin D(OR=15.141,95％CI:1.831-125.204,P=0.012),calcium ion(OR=4.625,95％CI:2.654-8.059,P＜0.001),high-den-sit y lipoprotein(OR=0.395,95％CI:0.235-0.666,P＜0.001),creatinine(OR=1.034,95％CI:1.005-1.063,P=0.020)and uric acid(OR=1.006,95％CI:1.003-1.010,P＜0.001)were independent factors for the occurrence of preeclampsia in pregnant women.Conclusion The levels of serum vitamin D,calcium ions,blood lipids,uric acid and creatinine may be correlated with the occurrence of preeclampsia.

Objective To investigate the frequency and distribution characteristics of gene mutations in children with phenylalanine hydroxylase(PAH)deficiency in Xinjiang.Methods A total of 230 children diag-nosed with PAH deficiency in Urumqi Maternal and Child Health Care Hospital from January 1st,2015 to February 28th,2023 were enrolled in the study.The variation of PAH gene was analyzed and the variation sites of PAH gene in children with different phenotypes were compared.Results A total of 441 PAH gene va-riants were detected in 230 children with PAH deficiency in Xinjiang,with a total detection rate of 95.87％.A-mong them,2 variants were detected in 227 cases,only 1 variant was detected in 2 cases,and 3 variants were detected in 1 case.217 cases were complex heterozygous variants,and 10 cases were homozygous variants.The high-frequency variant loci were c.158G＞A[23.39％(102/441)],c.728G＞A[11.70％(51/441)],c.688G＞A[5.05％(22/441)],c.721C＞T[3.90％(17/441)],c.611A＞G[3.67％(16/441)],c.1238G＞C[3.21％(14/441)].The high-frequency variant loci for classic PKU were c.728G＞A,c.331C＞T,and c.782G＞A;the high-frequency variant loci for mild PKU were c.721C＞T,c.1068C＞A,and c.1301C＞A;the high-frequency variant loci for children with mild HPA were c.158G＞A and c.688G＞A.There were significant differences in the frequency of high frequency mutations among the above three phenotypes(P＜0.05).Conclusion Mild HPA predominates in children with PAH deficiency in Xinjiang.The hotspot loci of the PAH gene in Xinjiang have been clarified,and specific PAH gene loci have been observed in the three different phenotypes,which can provide theoretical basis for prenatal diagnosis and clinical genetic counselling.