铁死亡(Ferroptosis)是一种铁依赖性的新型的细胞程序性死亡(PCD)方式。花生四烯酸脂氧合酶-15(Arachidonate 15-lipoxygenase,ALOX15)是铁死亡的重要调控因子,它可以催化多不饱和脂肪酸(Polyunsaturated fatty acid,PUFA)生成脂质氢过氧化物,从而促进铁死亡的发生。ALOX15参与了多种癌症的发生发展,并发挥重要作用。本文对铁死亡的重要调控因子ALOX15与乳腺癌、食管癌、胃癌、结直肠癌以及前列腺癌的相关性进行综述,为相关肿瘤的研究提供参考。

Objective: To compare the treatment and prognosis of kirsten rat sarcoma viral oncogene (KRAS) mutant lung adenocarcinoma patients with different mutation states and molecular typing. Methods: The data of patients with advanced KRAS mutant lung adenocarcinoma who were diagnosed and received first-line therapy in the First Affiliated Hospital of Bengbu Medical College from April 2019 to April 2022 were collected. The co-mutation of TP53, molecular typing and the correlation of treatment prognosis were analyzed. Results: Follow-up to April 2022, the mPFS of patients with KRAS/TP53 co-mutation was significantly shorter than that of patients with KRAS single mutation (HR=0.613, 95%CI: 0.396-0.951, P=0.029), and the difference was statistically significant. The mPFS of chemotherapy combined with anti-angiogenesis therapy was significantly prolonger than that of chemotherapy alone (HR=0.593, 95%CI: 0.355-0.990, P=0.038). The mPFS of chemotherapy combined with immunotherapy group was significantly longer than that of chemotherapy alone (HR=0.426, 95%CI: 0.247-0.736, P=0.02). There was no significant difference in mPFS between chemotherapy combined with anti-angiogenesis therapy group and chemotherapy combined with immunotherapy group (HR=0.648, 95%CI: 0.371-1.130, P=0.126). Conclusion: TP53 is a poor prognostic factor in patients with advanced KRAS mutant lung adenocarcinoma. There is no significant difference in treatment and prognosis between different molecular subtypes of G12C and non-G12C. Chemotherapy combined with immunotherapy or anti-angiogenesis therapy can prolong PFS in patients with advanced lung adenocarcinoma compared with chemotherapy alone, but there is no significant difference in PFS between the combined treatment groups.

Objective: To investigate the influencing factors and roles of serum Cys C in microangiopathy of type 2 diabetes mellitus.Methods: A total of 830 patients with T2DM admitted from September 2020 to June 2022 were selected as the research objects, and the patients were divided into observation group (type 2 diabetic microangiopathy group) and control group (simple type 2 diabetes group) according to whether they had microangiopathy. The basic data and biochemical indexes of the two groups were compared. Results: The prevalence of hypertension, duration of diabetes and age in the observation group were higher than those in the control group (P＜0.05). The levels of glycosylated hemoglobin (HbA1c), fasting blood glucose (FPG), serum creatinine (Scr), uric acid (UA), serum cystatin C (Cys C), low density lipoprotein (LDL), triglyceride (TG), serum total cholesterol (TC), apolipoprotein A (APOA) and apolipoprotein B (APOB) in the observation group were higher than those in the control group, and the level of high density lipoprotein (HDL) was lower than that in the control group (P＜0.05). Binary logistic regression analysis showed that hypertension, course of disease, HbA1c, FPG, Cys C, HDL and APOA were the influencing factors of T2DM microangiopathy. The receiver operating curve (ROC) results showed that Cys C could be used as a potential diagnostic indicator for T2DM microvascular disease (AUC=0.707, P=0.000). Conclusion: HbA1c, FPG, HDL, APOA, hypertension, duration of diabetes, Cys C and other factors are independent influencing factors of T2DM microangiopathy, and serum Cys C can be used as a potential diagnostic indicator. The focus of T2DM microangiopathy management is not only to control blood glucose, but also to find prevention and treatment targets from a new perspective, providing new ideas for the prevention and treatment of T2DM microangiopathy.

Objective: To investigate the protective effect of Dracocephalum moldavica L. on stroke based on network pharmacology. Methods: The effective components of Dracocephalum moldavica L. were searched by NCBI and CNKI. The effective targets of Dracocephalum moldavica L. were predicted by Pubchem and swiss target prediction databases. The target genes related to cerebral stroke were searched by GeneCards and Omim databases. The Venn diagram was constructed to screen the intersection genes. Cytoscape was used to establish and visualize the network diagram of drugs, components, targets and diseases. String software was used to construct the protein network interaction diagram. GO enrichment and KEGG analysis were performed using the DAVID database. Results: A total of 23 effective components of Dracocephalum moldavica L. were found by searching the literature, and there were 1682 corresponding targets. The main molecules were NADPH oxidase 4 (NOX4), xanthine dehydrogenase (XDH), myeloperoxidase (MPO), etc. Through PPI topology analysis, 57 core targets were obtained; GO enrichment analysis showed that 443 biological processes (BP), 104 molecular functions (MF) and 66 cellular components (CC) were involved. The results of KEGG showed that 143 signaling pathways were involved, including cancer pathway (hsa05200: pathways in cancer), PI3K-Akt signaling pathway (hsa04151: PI3K-Aktsignaling pathway), neuroactive ligand-receptor interaction (hsa05022: neuroactive ligand-receptor interaction) and so on. Conclusion: This study preliminarily revealed that Dracocephalum moldavica L. can treat stroke through a variety of targets and pathways, providing a theoretical basis for further scientific experiments.

Objective: To explore the correlation of upper limb motor function Fugl-Meyer rating scale (FMA-UE), simple upper limb function assessment scale (STEF) and test évaluant les membres supérieurs des personnes agées (TEMPA), to observe the ceiling effect or floor effect in patients with different degrees of stroke, and to compare the responsiveness of the three scales, so as to provide guidance for the selection of scales in clinic. Methods: FMA-UE, STEF and TEMPA were used to evaluate the upper limb function in patients with stroke. Spearman method was used to analyze the correlation of the three scales, and the proportion of people close to the maximum / minimum score was calculated to observe whether there was ceiling effect or floor effect. Twenty patients in subacute stage were selected for routine upper limb rehabilitation training. Two weeks later, the upper limb function was evaluated with TEMPA, FMA-UE and STEF, and the responsiveness of the three scales was observed. Results: The correlation coefficient between FMA-UE and STEF was 0.767, and that between STEF and TEMPA was 0.559~0.848, and that between STEF and TEMPA was 0.840~0.908. FMA-UE showed ceiling effect in patients with mild upper limb disorders, STEF showed significant floor effect in patients with moderate upper limb disorders, and all patients with severe upper limb disorders scored 0. TEMPA scale did not show ceiling effect or floor effect. The responsiveness of the three scales was good, including effect scale (ES): FMA-UE > STEF > TEMPA task analysis dimension > TEMPA function score dimension, standardized response mean (SRM), median effect scale (MES): FMA-UE > TEMPA task analysis dimension > STEF > TEMPA function score dimension. Conclusion: There is a high correlation and good responsiveness among the three upper limb function assessment scales. However, FMA-UE shows ceiling effect in patients with mild upper limb disorders. STEF is only suitable for the evaluation of patients with mild upper limb disorders. TEMPA scale does not find ceiling effect or floor effect, so it can be used widely.

Objective: To explore the role of lipoyltransferase (LIPT1) in the development and immune infiltration of breast cancer by bioinformatics. Methods: TCGA, GEPIA, HPA, UALCAN, Kaplan-Meier, TIMER 2.0 and other databases were used to explore the differential expression, function and related mechanism of LIPT1 in breast cancer, and to analyze the effect of LIPT1 on the immune infiltration of invasive breast cancer. Results: The expression of LIPT1 was associated with invasive breast cancer, and PPI network analysis showed that LIPT1 was associated with ACSM1, DBT, DLAT, DLT, DLST, GCSH, LIAS, LIPT2, PDHB, and PDHX; the expression of LIPT1 was associated with immune cell infiltration in invasive breast cancer. Conclusion: Bioinformatics predicts that LIPT1 expression is down-regulated in invasive breast cancer and is associated with tumor immune cell infiltration.

Objective:To study the prokaryotic expression and purification of GroEL1 from mycobacterium tuberculosis by genetic engineering and bioinformatics, and to predict its structure and function, and to analyze its application value in novel tuberculosis vaccine. Methods:The GroEL1 gene was amplified by PCR in vitro and cloned into the pET28a plasmid. The pET28a-GroEL1 vector was successfully constructed by sequencing and transformed into the expression strain of E. coli BL21 (DE3). The recombinant GroEL1 protein was expressed by IPTG and purified by nickel affinity column. The nucleotide and amino acid sequences of GroEL1 of H37Ra strain were obtained from UniProt database. Protparam, TMHMM-2.0, Protscale, NetChop-3.1, Psortb and SignalP-4.1 were used to predict the physicochemical properties, transmembrane helix, hydrophilic/hydrophobic, phosphorylation sites, subcellular localization and signal peptide of GroEL1 protein, respectively. NetNGlyc-1.0 and YinOYang-1.2 predicted the glycosylation sites. SOPMA and Swissmodel predicted the secondary structure and tertiary structure of the protein. Clustalw compares homologous sequences. String predicted interacting proteins, IEBD and ABCpred predicted B-cell epitopes of proteins. Results:The recombinant pET28a-GroEL1 vector was successfully constructed and the GroEL1 protein partially expressed in soluble form in E. coli. The recombinant GroEL1 protein was purified by nickel affinity chromatography with a purity of more than 90%. Western blot analysis confirmed that the recombinant GroEL1 protein had good immunoreactivity. The GroEL1 gene of mycobacterium tuberculosis strain H37Ra has a total length of 1 620 bp, encoding 539 amino acids with a molecular weight of 55.88 kD and an isoelectric point of 4.98. It is predicted that the protein has strong hydrophilicity, stable properties, no transmembrane region, 37 possible phosphorylation modification sites and 8 O-glycosylation sites, which is a non-secreted protein. Located in the cytoplasm, the secondary structure showed α-helix (53.43%), extended chain (11.87%), β-turn(7.61%), random coil(27.09%), multiple B cell antigen epitopes and multiple GroEL1 protein interacting proteins. Conclusion:The recombinant GroEL1 protein was successfully expressed and purified, and the structure and function of GroEL1 protein were predicted by bioinformatics, which laid a foundation for the prevention, diagnosis and treatment of tuberculosis.

Objective: To explore the mechanism of ginsenoside Rb1 in the treatment of Parkinson 's disease by using network pharmacology technology, and to provide scientific theoretical basis for the clinical rational application of ginsenoside Rb1. Methods: The targets of ginsenoside Rb1 were predicted in SwissTargetPrediction, SEA and SuperPred databases. The related targets of Parkinson's disease were obtained in the GeneCards and Omim databases using the keyword 'Parkinson Disease'. The ginsenoside Rb1 and the target of Parkinson's disease were mapped to each other, and the Veen diagram was made to obtain the intersection gene. Then, Cytoscape 3.8.2 software was used to construct the 'drug-target' network ; the 21 common drug targets related to Parkinson's disease in the Venn diagram were imported into the String (https://string-db.org/) database for protein-protein interaction prediction, so as to predict the core targets. The core targets of ginsenoside Rb1 in the treatment of Parkinson's disease were imported into the DAVID database to obtain GO analysis results and KEGG enrichment results. AutoDock Vina was used to perform molecular docking between ginsenoside Rb1 and key targets to verify their interaction activity. Results: There were four core targets of ginsenoside Rb1 in the treatment of Parkinson's disease, namely BCL2L1, VEGFA, FGF2, KDR, with 28 related pathways. Combined with the biological characteristics of ginsenoside Rb1, it was found that ginsenoside Rb1 treatment of Parkinson's disease mght be involved in the biological regulation process through the PI3K/Akt signaling pathway, and this regulation process was closely related to the mechanism of apoptosis in cell bioengineering. Through the molecular docking verification of the key target and ginsenoside Rb1, the target interaction was highly combined. Conclusion: The mechanism of ginsenoside Rb1 in the treatment of PD may play a role by reducing the biological process of apoptosis. The related pathways affected are PI3K/Akt signaling pathway, MAPK signaling pathway, Notch signaling pathway, and BCL2L1, VEGFA, FGF2, KDR and other targets.

Objective: To explore the mechanism of Mongolian medicine Sendeng-9 Decoction (Brucellosis Ⅱ) in the treatment of brucellosis by network pharmacology. Methods: The BATMAN-TCM database was used to analyze the active components and potential targets of Mongolian medicine Sendeng-9 decoction. Brucellosis-related targets were screened through Genecards, OMIM, and DisGeNET databases. The Venn diagram was constructed to obtain the intersection target of disease and the intersection target of Mongolian medicine Sendeng-9 decoction in the treatment of brucellosis. The network diagram of “drug-component-disease-target” relationship was drawn by Cytoscape software. The protein-protein interaction (PPI) network of ' active ingredient-disease ' common targets was constructed by STRING database. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of key targets were performed using the David database. Results: There were 182 active components of Mongolian medicine Sendeng-9 Decoction, which acted on 1306 targets. There were 620 brucellosis targets and 152 drug-disease intersection targets. The main active ingredients of Mongolian medicine Sendeng-9 Decoction in the treatment of brucellosis were lauric acid, myristic acid, linoleic acid, jasmonone, lupinone, geranylacetone, oxysophocarpine, 3-nonen-2-one, etc. The core targets for the treatment of brucellosis were IL-6, IL-1β, INS, TNF, PTGS2, JUN, TP53, IGF1, CCL2, HIF1A. A total of 1064 GO entries were obtained, including 834 BP entries, 107 CC entries, and 123 MF entries. There were 162 KEGG signaling pathways, mainly focusing on HIF-1 signaling pathway, TNF signaling pathway, MAPK signaling pathway, FoxO signaling pathway, IL-17 signaling pathway and so on. Conclusion: Through the method of network pharmacology, this study preliminarily discusses the anti-inflammatory and disease-resistant pathogenic microorganisms of the effective components of Mongolian medicine Senden-9 decoction, which provides a theoretical basis for the treatment of brucellosis, and further study of the mechanism of action and clinical application of this prescription.

Objective: To explore the mediating effect of attitudes toward aging on social isolation and self-perception aging of the elderly in rural communities. Methods: The convenience sampling method was used to investigate 422 elderly people in rural communities in Chengdu from June 2021 to May 2022 by using general data questionnaire, Aging Attitude Questionnaire(AAQ), Lubben Social Network Scale (LSNS-6) and the Brief Ageing Perceptions Questionnaire(B-APQ). Results: The B-APQ score of the elderly in the rural community was (51.80±5.21) scores, the LSNS-6 score was (16.59±3.05) scores, and the AAQ score was (78.24±6.03) scores. Self-perceived aging was positively correlated with social isolation (r=0.535, P＜0.01) and negatively correlated with attitudes toward aging (r=-0.526, P＜0.01); attitudes toward aging played a part of the mediating role between social isolation and self-perceived aging among the elderly in rural communities, and the amount of mediating effect was 0.39 [95%CI(0.245~0.432)], accounting for 52.0% of the total effect. Conclusion: Attitudes toward aging plays a part of the mediating role in the social isolation and self-perception aging relationship of the elderly in rural communities, and the community should help the elderly to establish a positive psychological state and reduce the negative impact caused by social isolation, so as to help the elderly in rural communities get more positive self-perception aging and promote healthy aging.

Objective: To explore the current status and relationship of electronic health literacy , health promotion behavior , and quality of life in elderly patients with chronic diseases. Methods: From August 1,2022 to February 20,2023, 325 chronic disease patients ≥60 years old were randomly selected using convenience sampling method. A structural equation model was constructed to analyze the relationship between electronic health literacy, health promotion behavior and health related quality of life in elderly patients with chronic diseases. Results: The total score of eHEALTH for patients was (18.73±10.64), the total score of health promotion behavior was (124.02±19.63), the total utility value of the European Five Dimensional Health Scale(EQ-5D-5L) was (0.79±0.22), and the EQ-VAS score was (72.35±16.21).The total score of patients' electronic health literacy is positively correlated with the total score of health promotion behavior (r=0.197, P＜0.001); The total score of electronic health literacy is positively correlated with the score of quality of life (r=0.188, P＜0.001), and the total score of health promotion behavior was also positively correlated with EQ-VAS scores (r=0.289, P＜0.001). Structural equation model analysis showed that electronic health literacy in elderly patients with chronic diseases can directly affect their quality of life, with a direct effect of 0.168 (P＜0.05); Electronic health literacy can also indirectly affect patients' quality of life by influencing their health promoting behavior, with an indirect effect of 0.046 (P＜0.05). Conclusion: Medical institutions should attach importance to the level of electronic health literacy of patients, implement targeted health intervention measures, effectively improve the level of electronic health literacy, and thereby enhance their health promotion behavior and quality of life.

Objective: To visually analyze the published literature of traditional Chinese medicine in the treatment of postpartum hypogalactia in CNKI using Citespace 6.1R6, and to summarize the current status, research hotspots and frontier development of traditional Chinese medicine in the treatment of postpartum hypogalactia. Methods: The literature related to the treatment of postpartum hypogalactia by traditional Chinese medicine collected by CNKI from January 1,2010 to December 21,2022 was searched. Citespace 6.1R6 was used to standardize the data based on bibliometrics, and the publication time, authors, institutions and keywords in the literature were visually analyzed and mapped. Results: A total of 464 articles were included, with a time span of 12 years, and the number of publications increased year by year. There were 359 authors in this field, of which 17 were high-frequency authors. The main research teams were ZHANG Shuying's team and LIU Manfang's team. A total of 525 research institutions were included, among which the headquarters and affiliated hospitals of Guangzhou University of Chinese Medicine, the headquarters and affiliated hospitals of Chengdu University of Traditional Chinese Medicine, and the headquarters and affiliated hospitals of Shandong University of Traditional Chinese Medicine were the top three institutions with the largest number of publications. A total of 327 keywords were included, forming 11 cluster labels. The top three keywords were 'lack of milk', 'acupoint massage', 'lactation volume'; there were 4 centrality >0.1. Conclusion: The research hotspots of traditional Chinese medicine in the treatment of postpartum hypogalactia are mostly the clinical efficacy observation literature of external treatment of traditional Chinese medicine, and the basic research is relatively few. It is necessary to strengthen the mining research of basic literature; some institutions have a deep understanding and good research results in this field, but the cooperation between teams and institutions is only internal communication, and there is less cross-regional cooperation. Cross-regional communication and cooperation should be strengthened to carry out deeper theoretical innovation.

Objective: To study the anti-nonalcoholic steatohepatitis mechanism of total flavonoids from Scabiosa comosa by network pharmacology. Methods: Based on the TCMSP database and literature reports, the main active components of total flavonoids from Scabiosa comosa were obtained. The Swiss Target Prediction server was used to predict the target of its active ingredients according to the reverse pharmacophore matching method, and the targets for improving NASH were screened out through databases such as Genecards, OMIM and Disgenet. The potential targets of drug targets and disease targets were used to make the Venn diagram. The Cytoscape software was used to construct the ' active ingredient-target ' network diagram. The STRING platform was used to construct the protein interaction network. The DAVID database and ClueGO plug-in were used for GO enrichment analysis and KEGG pathway analysis. Results: A total of 43 active components and 439 targets of total flavonoids were screened. The main active components in the network were ononin, camphene -3-O- rutinoside, isorhamnetin, quercetin, luteolin, eupatorium odoratum, etc. The key targets in the protein interaction network were TNF, AKT1, TP53, VEGFA, IL1B, etc. GO enrichment analysis involved 503 biological processes, 54 cellular components and 120 molecular functions. KEGG pathway enrichment analysis screened the top 20 related pathways, mainly acting on VEGF signaling pathway, PPAR signaling pathway, estrogen signaling pathway and so on. Conclusion: The flavonoid components from Scabiosa comosa can play a role in the treatment of nonalcoholic steatohepatitis through multiple targets and multiple pathways. The results provide a scientific basis for further study of the role of Scabiosa comosa in the field of anti-nonalcoholic steatohepatitis.

糖尿病(diabetes mellitus, DM)是目前临床医学中最普遍的代谢性疾病之一,并且已经成为全球关注的公共卫生问题。沉默信息调节因子2相关酶1(silencing information regulator 2 related enzyme 1, SIRT1)是一种腺嘌呤二核苷酸依赖性去乙酰化酶,参与糖代谢和胰岛素的分泌过程,在DM的发病机制中扮演了重要角色。糖尿病主要是由于胰岛素分泌缺乏或者胰岛素抵抗导致的代谢紊乱综合征。SIRT1不仅在β细胞中通过p53、叉头盒转录因子O(forkhead box transcription factor class O, FoxO)、烟酰胺磷酸核糖转移酶(nicotinamide phosphoribose transferase, NAMPT)等相关靶点影响胰岛素分泌;还可以通过胰岛素受体、脂联素影响胰岛素敏感性从而干扰胰岛素抵抗。此外,SIRT1还可以通过抑制NF-κB信号通路,保护胰岛β细胞免受氧化应激和炎症细胞因子的刺激。同时,SIRT1通过促进线粒体的生物发生保证机体内所有细胞活动的供能,并避免脂质的积累。白色脂肪组织(white adipose tissue,WAT)、糖异生功能异常导致的糖尿病也受到SIRT1诸多影响。本文旨在探讨SIRT1与DM的关系及其中涉及的相关信号网络。

Objective: To analyze the risk factors of upper limb dysfunction in breast cancer surgery patients,to construct the risk model of the risk factors affecting upper limb dysfunction and to verify its performance.Methods: From February 2021 to February 2022, 350 women who had passed 2 to 5 months after modified radical breast cancer surgery were selected for an unmatched case-control study. After assessment by Rowes rating System for Bankart repair, those with a score of <75 points were as the case group and those with a score of ≥75 points were as the control group. Logistic statistical analysis was used to analyze the risk factors of upper limb dysfunction in breast cancer surgery patients, to construct the nomogram risk prediction model and to verify it internally. Results: University degree or above, satisfactory marital relationship and high level of self-efficacy were protective factors for upper limb dysfunction in breast cancer surgery patients (P＜0.05). Aged 65 to 80 years, wound pain, insomnia, rarely active upper limb exercise, very fear of exercise, recurrence of breast cancer, no desire for recreational activities, and not being close to friends were the risk factors for upper limb dysfunction of breast cancer surgery patients (P＜0.05). The above factors were included and the nomogram risk prediction model was built. The results showed that intervention factors such as wound pain, marital relationship, insomnia and active upper limb movement had a great impact on the risks of upper limb dysfunction in breast cancer surgery patients. Internal verification results showed that the area under the ROC curve of the model was 0.858. The calibration curve showed a good consistency between the risks of breast cancer upper limb dysfunction predicted by the nomogram and the actual risks, and the C index was 0.837 after correction. Conclusion: The constructed risk model of risk factors for upper limb dysfunction in patients with breast cancer surgery has a good prediction effect. It can assist clinical medical and nursing staff to screen high risk factors affecting upper limb dysfunction, especially pain symptoms, insomnia symptoms, active movement behavior, marital relationship and other factors that can be intervened. This allows for early response measures and postoperative rehabilitation.

糖尿病脑病(diabetic encephalopathy,DE)是糖尿病常见的严重慢性并发症,可导致认知功能障碍和大脑神经结构改变,其发病机制可能与神经炎症、氧化应激、胰岛素抵抗等有关。目前,关于糖尿病脑病及认知功能障碍的治疗仍处于探索阶段。本文旨在对糖尿病脑病认知功能障碍的影像学表现、发病机制、治疗等方面进行综述。

Objective: To explore the dynamic changes of metabolic activity after multiple intakes of alcohol, and to analyze the induction and gender differences of metabolic enzyme activity. Methods: The end-expiratory alcohol detection method of rats was established by breath alcohol detectors, and the breath alcohol concentration of rats after intragastric administration of alcohol was detected. The time-varying changes of blood alcohol concentration of rats after alcohol intake were dynamically measured, and the pharmacokinetic parameters were calculated to evaluate cytochrome P450 2E1(CYP2E1)metabolic activity and gender differences in rats. Results: With the increase of alcohol intake, the metabolic activity of CYP2E1 showed an induced trend (P＜0.05). The activity of alcohol metabolism in female rats was stronger than that in male rats (P＜0.05). Conclusion: Alcohol metabolism and induction have sexual dimorphism.

Objective:To explore the key prognostic genes in the tumor microenvironment of endometrial carcinoma by bioinformatics analysis and PCR expression verification. Methods: The gene expression data of 552 patients with endometrial carcinoma were downloaded from TCGA database, and the immune score and interstitial score were performed by R software ESTIMATE algorithm to screen the differentially expressed genes. A variety of algorithms were used to further explore the prognosis of differential genes and related pathways. PCR assay was used to analyze the expression correlation of differential genes in clinical tissues and cell lines. Results: Cox regression analysis and KM survival analysis indicated that CCR4 was a potential prognostic gene. GSEA and KEGG results showed that CCR4 was significantly enriched in the immune response-activation cell surface receptor signaling pathway. The results of RT-qPCR showed that the expression of CCR4 in tumor group was significantly higher than that in non-tumor group at cell level and tissue level. Conclusion: Immunoinfiltration exists in the tumor microenvironment of endometrial carcinoma, and CCR4 is expected to be a new diagnostic marker for endometrial carcinoma.

Objective:To systematically evaluate the risk factors of hyperuricemia (HUA) in middle-aged and elderly people in China. Methods:The Embase,Web of Science,PubMed,the Cochrane Library,Chinese National Knowledge Infrastructure (CNKI),Wangfang Data,Chinese Biomedical Literature Database (CBM),and VIP database were selected to collect literaturse on risk factors of HUA in middle-aged and elderly people in China. The retrieval time limitation was defined from the establishment of the database until March 2022. RevMan 5.3 and Stata 14.0 software were used for data analysis. Results:A total of 20 studies were included,including 72 020 cases of HUA patient. Meta-analysis results showed that hypertension (OR=1.43,95%CI: 1.26-1.62),age ≥45 (OR=1.11,95%CI: 1.07-1.15),alcohol consumption (OR=1.47,95%CI: 1.31-1.65),high body mass index (BMI) (OR=1.06,95%CI: 1.02-1.19),high triglyceride (TG) (OR=1.81,95%CI: 1.58-2.07),renal insufficiency (OR=2.88,95%CI: 1.76~4.73),high cholesterol (TC) (OR=1.21,95%CI: 1.09~1.33),high serum creatinine (OR=1.69,95%CI: 1.53~1.85),central obesity (OR=1.52,95%CI: 1.30-1.79) and high urea nitrogen (OR=1.53,95%CI: 1.23-1.90) were risk factors for HUA in middle-aged and elderly people in China. High density lipoprotein (HDL-C) (OR=0.50,95%CI:0.36~0.70) and hyperglycemia (OR=0.75,95%CI: 0.66-0.86) were protective factors to HUA in middle-aged and elderly people in China. Conclusion:Hypertension,age ≥45 years,alcohol consumption,high BMI,high TG,renal insufficiency,high TC,high serum creatinine,central obesity and high urea nitrogen are the risk factors for HUA in middle-aged and elderly people in China. Meanwhile,high blood glucose and HDL-C are the protective factors to HUA.

Objective: To analyze the influencing factors of fear of hypoglycemia in middle-aged and elderly patients with type 2 diabetes mellitus from multiple perspectives, and to provide reference for early clinical identification and screening of fear of hypoglycemia. Methods: A total of 404 middle-aged and elderly patients with type 2 diabetes mellitus who were hospitalized in the Department of Endocrinology, Tangshan Gongren Hospital were selected as the research objects. Logistic regression and decision tree model were used to analyze the influencing factors of fear of hypoglycemia in middle-aged and elderly patients with type 2 diabetes mellitus, and the differences between the two models were compared. Results: Logistic regression analysis showed that marital status, fasting blood glucose at admission, duration of diabetes, type of treatment, type of hypoglycemia, and nocturnal hypoglycemia were the influencing factors of fear of hypoglycemia in middle-aged and elderly patients with type 2 diabetes mellitus. While, the results of the decision tree model showed that the duration of diabetes, the type of hypoglycemia, and the experience of nocturnal hypoglycemia were the influencing factors. Conclusion: Logistic regression and decision tree model can be combined to explore and analyze the influencing factors of fear of hypoglycemia in middle-aged and elderly patients with type 2 diabetes mellitus from multiple perspectives, so as to provide reference for clinical implementation of early intervention measures.