To explore the correlation between human body fat distribution and carotid athero-sclerosis.

Objective:To predict the molecular mechanism of Biminkang Granules in the treatment of allergic rhinitis using network pharmacological methods combined with animal experiments.Methods:Active component targets and allergic rhinitis targets were screened from TCMSP, OMIM, GeneCards, TTD, DrugBank and PharmGKB databases; R language software was used to map the intersection of drug and disease targets; Cytoscape software and String platform were used to construct intersection target PPI network and conduct network topology analysis; DAVID platform was used to perform GO enrichment and KEGG pathway analysis, and perform molecular docking verification on the main active components and key targets. 32 rats were divided into a blank group of 8 and a model group of 24 using a random number table method. Model rats were induced by ovalbumin to establish an allergic rhinitis model. 24 SD rats that were successfully modeled and were randomly divided into model group, Western medicine group, and Biminkang Granules group using a random number table method, with 8 rats in each group. The Western medicine group was gavaged with 1 mg/kg of loratadine solution, the Biminkang Granules group was gavaged with 4.1 g/kg of Biminkang Granules solution, and the blank group and model group rats were gavaged with the same volume of physiological saline once a day for 2 consecutive weeks. The symptoms of rhinitis in each group of rats for 30 minutes were observed and recorded, and the pathological changes of the rat nasal mucosa were observed using HE staining. ELISA method was used to detect the levels of IL-17 and IL-6 in rat serum, and Western blot method was used to determine the expressions of TNF and STAT3 proteins in rat tissues.Results:A total of 41 target proteins of BiMinKang Dranule in the treatment of allergic rhinitis were predicted, and TNF, STAT3 and other core target proteins were obtained by PPI network topology analysis. The biological process of GO involved drug response, inflammatory response, cytokine response, etc.KEGG enrichment is involved in Th17 cell differentiation, lipid and atherosclerosis, IL-17, toll-like receptor and other pathways. Molecular docking results indicated that the main active components had good binding activity to key target proteins.Animal experiments showed that BiMinKang Dranule could improve the inflammatory symptoms of allergic rhinitis rats, down-regulate the expression of IL-17 and IL-6 in blood, and inhibit the expression of TNF and STAT3 proteins.Conclusion:Biminkang Granules can treat allergic rhinitis through multiple active components, multiple target proteins and multiple pathways, and the mechanism may be related to the regulation of Th17 cell differentiation pathway related proteins.

Objective This study aims to develop a prognostic risk prediction model for gastric cancer based on m1A/m5C/m6A/m7G regulated genes and to investigate the relationship between this model and immunology.Methods The Cancer Genome Atlas(TCGA)gastric cancer dataset was utilized to identify m1A/m5C/m6A/m7G regulated genes with significant expression differences.A prognostic risk score(RS)model was constructed using univariate Cox regression analysis and the LASSO algorithm.The RS model was validated using the Kaplan-Meier(K-M)statistic and cell lines for RT-qPCR biological validation.A nomogram model was created using univariate and multivariate Cox regression analyses.The CIBERSORT algorithm and ESTIMATE package were employed to conduct immune correlation analysis.Results A prognostic RS model based on eight methylation regulated genes was developed to classify patients with gastric cancer as high-risk or low-risk.These eight genes showed significant expression in gastric cancer cell lines(P＜0.05).The TCGA-gastric cancer training set and GSE62254-validation set showed a substantial connection(P＜0.001)between overall survival rate(OS)and grouping status.The nomogram survival models accurately predicted 1-year(C-index = 0.703),3-year(C-index = 0.729),and 5-year(C-index = 0.734)survival rates.Immune correlation analysis showed that compared to the low-risk group,the high-risk group had higher immune scores and higher expression of immune checkpoint-related genes(P＜0.05).Conclusion We created a reliable prognostic RS model based on m1A/m5C/m6A/m7G regulated genes that can predict gastric cancer prognosis and guide individualized immunotherapy decisions.

Objective:To explore the effectiveness of 18F-deuterated-Florbetapir (D3FSP) PET/CT imaging in detecting β-amyloid (Aβ) deposition in the brain and its correlation with plasma biomarkers. Methods:A retrospective analysis was conducted on 79 patients (32 males, 47 females; age(66±7)years) who underwent 18F-D3FSP PET/CT imaging from June 2022 to November 2023 at the First Affiliated Hospital, Guangzhou Medical University, as a part of the Greater Bay Area Healthy Aging Brain Longitudinal Cohort Study (GHABS). Based on the Alzheimer′s Disease Neuroimaging Initiative cohort standard protocol, patients were categorized into cognitively unimpaired (CU) group, mild cognitive impairment (MCI) group, and Alzheimer′s disease (AD) group. Brain regions were segmented using the AW workstation and the SUV ratio (SUVR) was calculated with the cerebellum as the reference region. One-way analysis of variance, Bonferroni correction and Pearson correlation analysis were used to analyze data. The ROC curve analysis was used to analyze the cut-off value and the diagnostic efficacy of SUVR. Results:There were 48, 15 and 16 cases in CU, MCI and AD groups respectively. During the transition from CU to MCI and then to AD, there was a rising trend in SUVR ( F values: 11.15-22.38, all P<0.001) across the whole brain and various brain regions (bilateral frontal lobes, bilateral anterior cingulate gyrus, bilateral precuneus, bilateral parietal lobes, bilateral lateral temporal lobes, and bilateral occipital lobes). SUVRs of the right anterior cingulate gyrus and bilateral precuneus were different between the CU and MCI groups (all P<0.017), and those of bilateral frontal lobes, right precuneus, bilateral parietal lobes, bilateral lateral temporal lobes, and bilateral occipital lobes were different between the MCI and AD groups (all P<0.017). SUVRs of brain regions were negatively correlated with cognitive scale scores ( r values: from -0.57 to -0.37, all P<0.001), and were positively correlated with plasma phosphorylated tau181 (p-tau181, r values: 0.50-0.61, all P<0.001). The ROC curve analysis suggested that the cut-off value of SUVR in the precuneus for distinguishing CU from AD was 1.20, with the AUC, sensitivity, specificity and accuracy of 0.85, 12/16, 91.7%(44/48)and 87.5%(56/64), respectively. Conclusion:18F-D3FSP PET/CT imaging has good clinical application value in assessing the deposition sites and the extent of Aβ in the brain, which is related to clinical cognition and plasma p-tau181 level.

Background and purpose:Gastric-type endocervical adenocarcinoma(G-EAC)is a rare variant of endocervical adenocarcinoma,characterized by atypical clinical manifestations and elusive lesions.Due to these factors,G-EAC is prone to being missed or misdiagnosed,significantly impacting the prognosis.Lobular endocervical glandular hyperplasia(LEGH)and atypical LEGH(aLEGH)are considered to be precancerous lesions of G-EAC.These conditions also present overlapping clinical,pathologic and imaging manifestations,making it challenging to differentiate between them preoperatively.The purpose of this study was to investigate the correlation between magnetic resonance imaging(MRI)findings of cystic-solid lesions in the cervix and their underlying pathology in order to enhance the accuracy of distinguishing between LEGH and G-EAC,ultimately aiding in the early diagnosis and appropriate management of these conditions.Methods:Clinical,imaging and pathological data of 37 LEGH and 53 G-EAC patients who attended the Obstetrics and Gynecology Hospital of Fudan University from July 2016 to August 2023 were collected.Analysis was conducted using Pearson Chi-square χ2,Fisher's exact tests and so on.Multivariate analyses were performed using logistic regression.Receiver operating characteristic(ROC)curves were used for performance evaluation.Results:In this study,differences in age,symptoms,extent,size,composition,degree of enhancement,cervical stromal ring,endometrium invasion,pelvic lymph nodes enlargement,and hydrohystera were statistically significant between the two groups(P＜0.05).In the LEGH and aLEGH groups,lesions were primarily localized to the epithelial layer of the endocervical canal.These lesions were predominantly simple cystic(32/37),and the cystic walls often displayed significant enhancement(31/37).In contrast,the G-EAC group presented with lesions involving the myometrium of the uterine cervix(42/53).These lesions were characterized by a solid component in the majority of cases(52/53),a tendency for the disappearance of the cervical stromal ring(46/53).Logistic regression analysis revealed that among the MRI features,lesion composition(OR=50.064)and incomplete cervical stromal ring(OR=40.180)were significant predictors for G-EAC.ROC analysis,incorporating lesion size,composition,enhancement degree,cervical stromal ring,and endometrial involvement,yielded an area under curve(AUC)of 0.970(95%CI:0.931-1.008).Conclusion:Combining multiple MRI features of cystic-solid lesions in the cervix aids in distinguishing between LEGH and G-EAC.

Objective:To investigate personal exposures to nitrogen oxides(NOX)and nitrogen di-oxide(NO2)and the influence of baseline personal characteristics,living environment and daily activity patterns of the participants on the exposures among adults over 35 in Tianjin and Shanghai.Methods:In this panel study,91 healthy nonsmoking adults aged over 35 from Tianjin and Shanghai participated in our study.The study was conducted in summer and winter.The participants were followed for three times with an interval of at least two weeks.Only participants in Shanghai were followed once in winter because of the COVID-19 pandemic.Twenty-seven participants completed follow-up visits in both seasons.We measured their 24 h personal exposures to NOX and NO2and collected their baseline and time-activity in-formation through questionnaire/diary.The linear mixed model was used to analyze the associations be-tween potential influencing factors and personal NOX and NO2 exposure levels.Results:There were 349 follow-up visits with valid 24 h personal NO2 and NOX exposure measurements in the two cities.The ave-rage 24 h personal exposures to NO2 and NOX(volume fraction)in Tianjin participants were 18.0 x 10-9 and 26.2 × 10-9 in summer,and 31.0 x 10-9 and 54.9 x 10-9in winter,respectively;and the average 24 h personal exposures to NO2 and NOX in Shanghai participants were 38.7 x 10-9and 100.0x10-9in summer,and 45.5 x10-9 and 139.2 x 10-9 in winter,respectively.The results of univariate regression analysis showed that their personal NOX exposure levels were significantly associated with city,season,gender,average daily cooking times,and ambient NO2 concentrations measured at fixed-site monitoring stations.In addition to the above factors,the personal NOX exposure levels were also significantly associ-ated with educational level and the personal NO2 exposure levels were also significantly associated with passive smoking,average daily home time,cooking energy type,residential distance from main traffic road,and use of kitchen ventilators.Multivariate regression analysis showed that the personal exposure levels of NO2 and NOX were significantly lower in Tianjin than that in Shanghai,were significantly lower in summer than that in winter,and were significantly and positively associated with ambient NO2 concen-trations measured at fixed-site monitoring stations.In addition,personal NOX exposure levels were signifi-cantly lower in females than in males,and personal NO2 exposure levels were significantly positively asso-ciated with average daily cooking times and significantly inversely associated with average daily home time.For every interquartile range(IQR)increase(12.7 × 10-9)in ambient NO2,the personal NO2 exposure levels increased by 27.5％(95％CI:17.0％-38.9％),and personal NOX exposure levels in-creased by 16.1％(95％CI:7.1％-25.8％).Conclusion:Season,city and ambient NO2 concentra-tions are significant influencing factors of personal exposure levels of NO2and NOX At the same time,the personal exposures levels of NO2 are also affected by lifestyle factors.Our study provides scientific evi-dence for making precise air pollution control decisions and reducing the exposure levels of NOX in the population.

Objective To establish a county-level trauma treatment model,designed to prioritize efficiency and guided by a multidisciplinary approach for emergency green channels.Methods Adhering to the Consensus of Experts on the Construc-tion and Management of Trauma Centers in Municipal Comprehensive Hospitals(2020),and using the trauma center creation plan from Guangdong Province as a reference,we established a county-level trauma center,leveraging its strengths and unique at-tributes,with the emergency department as its core.Results The application of information technology facilitated the establish-ment of a two-way referral information platform and a three-tiered diagnosis and treatment system for county medical communities,thereby enhancing the efficiency and quality of healthcare.The implementation of the emergency green channel multidisciplinary treatment team model significantly improved the admission rates for complex and critical cases and increased the utilization of new technologies.Conclusion The development of a county-level emergency treatment system,spearheaded by the establishment of a provincial-level trauma center and a multidisciplinary team model for emergency green channels,can expedite trauma patient care,augment diagnostic efficiency and treatment efficacy,and catalyze advancements in medical technology within county hospitals.

This paper explores the factors influencing the health-related quality of life (HRQL) of adult patients undergoing extracorporeal membrane oxygenation (ECMO) from five dimensions based on the health ecology model: personal characteristics, behavioral traits, interpersonal networks, work and living environment, and policy environment. The aim is to provide a theoretical basis for proposing evidence-based interventions to effectively improve the HRQL of adult ECMO patients.

Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)is the main pathogen that causes COVID-19,which is fast-mutating and highly transmissible.The infection has led to a global epidemic.As the main preventive and control measure,vaccination plays a critical role in fighting a-gainst COVID-19.Although a large number of epitope-based and mucosal vaccines have been stud-ied,few peptide epitope vaccines targeting the mucosa and their functional evaluation have been re-ported.In this study,we used SARS-CoV-2 structural protein M peptide epitope predicted by the IEDB database as an antigenic target to design the MS-3S gene containing 3 050 and 1 229 signal peptides and DCpep optimized for insertion into MS2 phage coat proteins.The expression plasmid pSIP:MS-3S was constructed by cloning the PCR fragments seamlessly and was transformed into Lactiplantibacillus plantarum 18 to obtain the recombinant bacterium LP18:MS-3S.Expression conditions such as induction time,inducer concentration,rotational speed and initial pH were opti-mized.The intranasal immunization experiments were performed to examine the vaccine efficacy.The results showed that the 916 bp-long target gene MS-3S modified and optimized was amplified and used to successfully construct the recombinant bacterial strain LP18:MS-3S.The optimal con-ditions for recombinant protein expression were obtained and verified by Western blot,flow cy-tometry,immunofluorescence and other detection methods.The optimal expression conditions were determined as follows:induction time was 4 h with 100 pg/L of SppIP as the optimal induction concentration.Antibody-specific for the epitope was verified by ELISA experiments in serum,alve-olar lavage fluid and fecal dilutions of mice.In summary,a recombinant bacterial strain expressing the epitope antigen of the SARS-CoV-2 M protein peptide was constructed.The obtained protein can induce the body to produce humoral and mucosal immunity,which lays the foundation for the development of a vaccine candidate for the mucosal immunity of COVID-19.

In order to cope with the limitations of traditional algorithms,intelligent optimization algorithms have emerged,in which swarm intelligence algorithms have become the research focus.Herein gray wolf optimization algorithm,ant-lion optimization algorithm,sparrow search algorithm,dragonfly optimization algorithm,whale optimization algorithm,and grasshopper optimization algorithm are summarized in terms of mathematical models,improvement strategies and medical applications.Through in-depth literature comparison horizontally and vertically,it is found that the improved optimization algorithms are most widely used in the medicine,and the advantages of optimization algorithms are found to be beneficial to their subsequent medical applications.