ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

Objective To explore the potential impact of unhealthy diets on cardiovascular diseases and all-cause mortality.Methods This study included the individuals aged 35-70 years from 45 cities and 70 rural communities across 12 provinces in China,as part of the Prospective Urban Rural Epidemiology(PURE)study.Dietary habits were assessed using a food frequency questionnaire.The dietary health status was scored using the Alternative Healthy Eating Index(AHEI),with participants in the lowest tertile of AHEI being categorized into the unhealthy diet group,while others were classified as the healthy diet group.The primary endpoints included major cardiovas-cular diseases(myocardial infarction,stroke,or heart failure)and all-cause mortality.Cox proportional hazard models were used to estimate hazard ratios(HR)for each group.Results A total of 40 925 participants were in-cluded in the study,with a median follow-up time of 11.9 years(interquartile range 9.6-12.6 years).During this period,2 066 deaths and 3 099 cases of major cardiovascular diseases were reported.The results showed that un-healthy diet increased the risk of major cardiovascular diseases by 10%(HR=1.10,95%CI:1.02-1.20,P＜0.05)and all-cause mortality by 7%(HR=1.07,95%CI:1.00-1.18,P＜0.05).Among male residents,un-healthy diet did not increase the risk of major cardiovascular diseases or all-cause mortality.However,among female residents,those with an unhealthy diet had a higher risk of major cardiovascular diseases(HR=1.12,95%CI:1.00-1.25,P＜0.05)and all-cause mortality(HR=1.26,95%CI:1.08-1.46,P＜0.05)compared to those with a healthy diet.Conclusions Unhealthy diet increases the risk of major cardiovascular diseases and all-cause mortality,particularly among women.There is a need to raise awareness about healthy dietary to prevent death and the occurrence of major cardiovascular diseases.

Under the background of new round of development in national and regional economies, the existing biomedical talent training system in local colleges is not matched in terms of education concept, specialty setting and course structure, which leads to its lack of openness and integration to strategic emerging industries and weak support. It calls for adjustments to the strategies for talent cultivation in local application-oriented colleges. On the one hand, they should optimize the structure of teaching and management team, look for new combination points and expand professional scope, combine interdisciplinary courses and improve the curriculum system. On the other hand, the entity platform integrating production, teaching and research should be explored, and innovation and entrepreneurship education should be guided to the in-depth development.

Recent studies have revealed a significant association between Porphyromonas gingivalis(P.gingivalis)infection and poor prognosis in esophageal squamous cell carcinoma(ESCC).Although cer-tain circular RNAs(circRNA)have been shown to suppress ESCC tumorigenesis and progression,their regulatory mechanisms in P.gingivalis infection-associated ESCC remain elusive.In this study,RT-qPCR analysis demonstrated that P.gingivalis infection downregulated hsa_circ_0057552 expression in ESCC cells and tissues in a time-and dose-dependent manner.Actinomycin D assays further confirmed that P.gingivalis infection reduced the RNA stability of hsa_circ_0057552 in ESCC cells(P＜0.05).Functional assays in vitro and a subcutaneous tumor xenograft model in vivo revealed that hsa_circ_0057552 overexpression significantly inhibited ESCC cell proliferation,migration,invasion,and tumor growth(P＜0.05).Additionally,PCR array screening combined with RT-qPCR and Western blotting in-dicated that P.gingivalis infection markedly upregulated human antigen R(HuR)expression at both RNA and protein levels(P＜0.05).Mechanistic investigations demonstrated that HuR knockdown signifi-cantly increased hsa_circ_0057552 expression(P＜0.01),whereas hsa_circ_0057552 overexpression had no regulatory effect on HuR.Finally,si-HuR treatment reversed the inhibitory effect of P.gingivalis on hsa_circ_0057552 transcription.This study demonstrated that P.gingivalis may promote the progression of ESCC through a novel mechanism involving the regulation of HuR/hsa_circ_0057552,thereby identif-ying a novel therapeutic target and molecular marker for P.gingivalis-associated ESCC.

This study was aimed at tracing the molecular typing and drug resistance characteristics of a suspected food poi-soning event caused by Clostridium perfringens in a district of Wuhan City.The FilmArray detection system and multiple fluo-rescence quantitative PCR methods were used to rapidly screen for pathogens in samples from the poisoning event.According to the initial screening results,bacteria were isolated,cultured,and identified by mass spectrometry.Fluorescence PCR was used to detect six virulence genes of the isolated Clostridium perfringens strains.On the basis of whole genome sequencing results,we conducted virulence genes,resistance genes,and whole genome single nucleotide polymorphism genetic evolution(wgSNPs)analyses.Antibiotic sensitivity testing was conducted with the agar dilution method.A total of ten strains of Clos-tridium perfringens were isolated,including eight strains from seven anal swab samples,one strain from fecal samples,and one strain from food samples.Food with suspected contamination had a Clostridium perfringens count of 7.8×106 CFU/g.The PLC(a)toxin gene was detected in all ten gas producing capsule isolation strains,but no other 5 tox-in genes such as CPE were detected,thus confirming that all were type A bacteria producing capsule Clostridium.All strains were 100％resistant to clindamycin and almost completely sensitive to antibiotics such as vancomycin,cefoxitin,and meropenem.Ten strains of Clos-tridium perfringens carried resistance genes such as tetB(P),tetA(P),and mprF,followed by ermQ(70％),ant(6)-Ⅰb(10％),and LnuP(10％).Genetic evolution analysis of wgSNPs indicated that the four outbreak strains clustered together and belonged to an independent subbranch with the suspected food sourcestrains,thus indicating close genetic relationships.In con-clusion,this food poisoning incident might have been be caused by hand torn chickens contaminated with Clostridium perfrin-gens,and the molecular types of the strains revealed high genetic diversity.No multiple drug resistance was observed,but all strains were resistant to clindamycin,an aspect requiring further clinical attention.

support the diagnosis.The treatment of PHCC is mainly based on surgery.Due to the characteristics of intact capsule,surgical resection is relatively easy and the cure rate is higher than that of ordinary hepatocellular carcinoma,and the postoperative survival rate is relatively ideal.For unresectable PHCC,palliative treatment based on transcatheter arterial chemoembolization can be used.This article reviews the progress on diagnosis and treatment of PHCC in order to provide reference for clinical practice.

Objective A new occipital bone removal technology was applied to improve the success rate of brain removal.Methods The skull was sawed based on the traditional brain removal technology,and part of the occipital bone was removed downward centered in external occipital protuberance to the foramen magnum,then exposed the telencephalon,cerebellum and posterior medulla oblongata.After that,removed the tentorium cerebelli and cut down the medulla oblongata and the related cranial nerves at the skull base,then removed the brain tissues.Results The removed brain tissues had structurally intact telencephalon,cerebellum and brain stem,clear vessels in the cerebral sulci,and relatively intact optic chiasm,olfactory tracts and vertebro-basilar arteries.Conclusion Brain removal through a fenestration on the external occipital protuberance can effectively preserve the integrity of brain specimens,and improve the success rate of brain removal,which is of great significance for central nervous system teaching and improvement of human brain tissue repositories.

Objective To explore the potential impact of unhealthy diets on cardiovascular diseases and all-cause mortality.Methods This study included the individuals aged 35-70 years from 45 cities and 70 rural communities across 12 provinces in China,as part of the Prospective Urban Rural Epidemiology(PURE)study.Dietary habits were assessed using a food frequency questionnaire.The dietary health status was scored using the Alternative Healthy Eating Index(AHEI),with participants in the lowest tertile of AHEI being categorized into the unhealthy diet group,while others were classified as the healthy diet group.The primary endpoints included major cardiovas-cular diseases(myocardial infarction,stroke,or heart failure)and all-cause mortality.Cox proportional hazard models were used to estimate hazard ratios(HR)for each group.Results A total of 40 925 participants were in-cluded in the study,with a median follow-up time of 11.9 years(interquartile range 9.6-12.6 years).During this period,2 066 deaths and 3 099 cases of major cardiovascular diseases were reported.The results showed that un-healthy diet increased the risk of major cardiovascular diseases by 10%(HR=1.10,95%CI:1.02-1.20,P＜0.05)and all-cause mortality by 7%(HR=1.07,95%CI:1.00-1.18,P＜0.05).Among male residents,un-healthy diet did not increase the risk of major cardiovascular diseases or all-cause mortality.However,among female residents,those with an unhealthy diet had a higher risk of major cardiovascular diseases(HR=1.12,95%CI:1.00-1.25,P＜0.05)and all-cause mortality(HR=1.26,95%CI:1.08-1.46,P＜0.05)compared to those with a healthy diet.Conclusions Unhealthy diet increases the risk of major cardiovascular diseases and all-cause mortality,particularly among women.There is a need to raise awareness about healthy dietary to prevent death and the occurrence of major cardiovascular diseases.

Under the background of new round of development in national and regional economies, the existing biomedical talent training system in local colleges is not matched in terms of education concept, specialty setting and course structure, which leads to its lack of openness and integration to strategic emerging industries and weak support. It calls for adjustments to the strategies for talent cultivation in local application-oriented colleges. On the one hand, they should optimize the structure of teaching and management team, look for new combination points and expand professional scope, combine interdisciplinary courses and improve the curriculum system. On the other hand, the entity platform integrating production, teaching and research should be explored, and innovation and entrepreneurship education should be guided to the in-depth development.