Sepsis is a systemic inflammatory response syndrome triggered by infection. It progresses rapidly and tends to develop into multiple organ dysfunction. Tanshinone ⅡA， one of the core active ingredients of Salvia miltiorrhiza， exerts remarkable targeted protective effects against sepsis-induced multiple organ dysfunction. This paper reviews the mechanisms by which tanshinone ⅡA alleviates sepsis-induced multiple organ dysfunction. Tanshinone ⅡA can relieve sepsis-induced lung injury by inhibiting the activity of Toll-like receptor 4/myeloid differentiation primary response protein 88/nuclear factor- κB， phosphatidylinositol 3-kinase/protein kinase B signaling pathways and maintaining mitochondrial homeostasis. It ameliorates sepsis- induced myocardial injury via suppressing the activation of NOD-like receptor family pyrin domain-containing 3/caspase-1 signaling pathway， downregulating the expression of inflammatory factors and regulating autophagy. It mitigates sepsis-induced renal injury by regulating oxidative stress imbalance and reducing the expression of apoptosis-related proteins. It alleviates sepsis-caused liver injury through inhibiting the release of inflammatory factors and hepatocyte apoptosis. It improves sepsis-induced intestinal barrier dysfunction by upregulating the expression of tight junction proteins and restraining inflammatory responses. Furthermore， it relieves sepsis-associated encephalopathy by activating peroxisome proliferator-activated receptor gamma coactivator-1α/nuclear respiratory factor 1/mitochondrial transcription factor A signaling pathway. Tanshinone ⅡA is expected to be a vital candidate drug for comprehensive prevention and treatment of sepsis. However， interdisciplinary research is required to break through current bottlenecks and realize the transformation from basic experiments to clinical application.

Objective:To construct a biosafety evaluation index system for major emergency public health events in medical institutions.Methods:Based on previous laboratory biosafety evaluation work, relevant regulations and standards on biosafety in China were collected through literature research and expert consultations. Candidate indicators for constructing the biosafety evaluation system for major emergency public health events in medical institutions were selected, and a framework was established. Two rounds of expert questionnaires were conducted to determine the content of the index system based on experts′ evaluation, and each indicator′s relevance and importance were scored. Finally, two rounds of Delphi consultations were carried out, and the Analytic Hierarchy Process (AHP) was applied to calculate the weights of indicators.Results:The response rates for the total four rounds of questionnaire surveys were all 100%. The first two rounds focused on determining the framework, while the latter two focused on determining the weights for each indicator. The authority coefficients of the expert consultations for the two rounds of weights were 0.65 and 0.70, respectively, indicating the reliability of the research results. In the final round of survey, the Kendall′s coefficients of concordance at each level were all greater than 0.1. Through statistical testing, the P-values were all less than 0.05, indicating good coordination of expert opinions. Ultimately, we established an operational biosafety evaluation system for major emergency public health events in medical institutions, consisting of 4 primary indicators, 26 secondary indicators, and 119 tertiary indicators, with additional deduction items, bonus items, unacceptable items, and monitoring indicators.Conclusions:Based on scientific theory, a biosafety evaluation system for major emergency public health events in medical institutions was constructed, achieving the integration of routine and emergency measures. This system can be used for self-assessment of laboratory biosafety during emergency public health events, addressing the lack of unified standards in biosafety evaluation. Through regular self-assessment, it can enhance the level of biosafety management in medical institution laboratories, to realize the value of application and dissemination.

Objective:To explore the potential category characteristics of social participation in colorectal cancer patients with stoma and analyze the influencing factors of different potential categories, so as to provide references for formulating and implementing targeted nursing measures.Methods:By using the convenience sampling method, colorectal cancer patients with stoma who were hospitalized or had outpatient follow-up visits at Guilin Hospital of Integrated Traditional Chinese and Western Medicine and the Second Affiliated Hospital of Guilin Medical University from January to December 2024 were selected as the survey subjects. A cross-sectional survey was conducted using the general information questionnaire, the voluntary participation Questionnaire, the Existential Anxiety Scale, the Family Support Scale and the Social Support Rating Scale. Potential profile analysis was used to identify the categories of social participation characteristics of colorectal cancer stoma patients, and multivariate Logistic regression was used to analyze the related influencing factors.Results:A total of 240 valid questionnaires were finally retrieved. Among the 240 colorectal cancer patients with stoma, 126 were male and 114 were female, aged 34-75 (55.63 ± 6.52) years. The social participation score of colorectal cancer patients with stoma was (55.84 ± 8.62) points. The results of potential profile analysis showed that the social participation of colorectal cancer patients with stoma could be divided into three potential categories: low participation-inefficient social life type accounted for 38.3% (92/240), medium participation-efficient indoor participation type accounted for 36.3% (87/240), and high participation-efficient outdoor participation type accounted for 25.4% (61/240). The results of multivariate Logistic regression analysis showed that, taking the high participation-efficient outdoor participation type as the reference, age, educational level, presence absence of stoma-related complications, existence of meaningless anxiety, family support, and social support were the influencing factors of low participation-inefficient social life type and medium participation-efficient indoor participation type ( OR values ranged from 0.163 to 1.879, all P<0.05). Conclusions:There are obvious classification characteristics in the social participation of colorectal cancer patients with stoma. Nursing staff can formulate and implement targeted intervention strategies based on different classification characteristics. Starting from the existence of meaningless anxiety in patients, an effective family and social support system should be established to improve their social participation.

Objective:To understand the hindrance and promoting factors of colonoscopy compliance in high-risk adenoma patients 3 months after resection, and to provide reference for formulating targeted nursing intervention strategies.Methods:An interview outline was formulated based on the health action process approach theory. A descriptive qualitative research method was used to select 13 patients with high-risk adenoma after resection in Guilin Integrated Traditional Chinese and Western Medicine Hospital from April to May 2024 for semi-structured interviews according to the purposive sampling method. Content analysis was used to analyze the data and refine the themes.Results:Among the 13 patients, there were 8 males and 5 females, aged 42-70 years old.A total of 2 themes and 8 sub-themes were extracted, including hindering factors (fear of disease outcome, risk perception barriers, low self-efficacy and lack of behavior plan) and promoting factors (establishing correct health beliefs, perceiving the benefits of health behavior, enhancing personal efficacy and advocating health behavior plan).Conclusions:The compliance of colonoscopy in patients with high-risk adenoma after resection is affected by a series of obstacles and promoting factors. In the future, targeted intervention strategies can be formulated based on the health action process approach theory to improve their compliance with colonoscopy.

OBJECTIVE To explore the association of the expressions of tissue forkhead box transcription factor(FOX)F2,angiopoietin-like protein 4(ANGPTL4)and FOXP3 with the pathological features and recurrence of the cervical cancer patients with human papillomavirus(HPV)infection undergoing radical hysterectomy.METHODS Totally 69 cervical cancer patients with HPV infection who underwent radical hysterectomy in Danzhou People's Hospital from Nov.2018 to Jul.2021 were randomly assigned as the cervical cancer group,meanwhile,72 patients who had cervical intraepithelial neoplasia(CIN)were chosen as the CIN group.The patients of the cer-vical cancer group were divided into the recurrence group with 25 cases and the no recurrence group with 44 cases according to the prognosis.The levels of tissue FOXF2,ANGPTL4 and FOXP3 were compared among the groups.The levels of FOXF2,ANGPTL4 and FOXP3 were compared among the cervical cancer patients with dif-ferent clinical pathological features,and the pathological features were compared among the patients with different treatment outcomes.The values of the three indexes in diagnosis of the postoperative recurrence in the cervical cancer patients with HPV infection undergoing radical resection were analyzed.RESULTS There were significant differences in the levels of tissue FOXF2 mRNA,ANGPTL4 mRNA and FOXP3 mRNA between the cervical cancer group and the CIN group(P＜0.05).There were significant differences in the levels of FOXF2 mRNA,ANGPTL4 mR-NA and FOXP3 mRNA among the cervical cancer patients with HPV infection who varied in federation international of gynecology and obstetrics(FIGO)stage,lymphatic metastasis and infiltration depth(P＜0.05).There were significant differences in the FIGO stage,lymphatic metastasis,infiltration depth,FOXF2 mRNA level,ANGPTL4 mRNA level and FOXP3 mRNA level between the recurrence group and the no recurrence group(P＜0.05).The area under the curve(AUC)value of the joint detection of FOXF2 mRNA,ANGPTL4 mRNA and FOXP3 mRNA was higher than that of the single detection in diagnosis of the postoperative recurrence in the cervical cancer patients with HPV infection under-going radical resection(P＜0.05).CONCLUSIONS The cervical cancer patients with HPV infection undergoing radi-cal resection show the abnormal expressions of tissue FOXF2 mRNA,ANGPTL4 mRNA and FOXP3 mRNA.There is association between the three indexes and the FIGO stage,lymphatic metastasis and infiltration depth.The joint detection of the three indexes has high value in diagnosis of the postoperative recurrence.

Sepsis-induced lung injury is a common type of sepsis complicated with multiple organ dysfunction syndrome,whose uncontrolled inflammatory response and oxidative stress are the key pathological mechanisms.As an important pathway of anti-inflammatory and anti-oxidative stress,the nuclear factor-erythroid 2-related factor 2(Nrf2)signaling pathway is very important in the occurrence and development of sepsis-induced lung injury.This review summarizes relevant research conducted over the past decade on the regulation of the Nrf2 signaling pathway by traditional Chinese medicine(TCM)to ameliorate sepsis-induced lung injury.It has been found that 14 kinds of TCM effective ingredients(including five types of compounds:flavonoids,terpenes,alkaloids,saponins,phenols)and 6 kinds of compound preparations(including three types of formulas:heat-clearing and detoxifying formulas,purgative formulas for promoting bowel movement,and formulas for reinforcing vital qi and consolidating the constitution)can inhibit inflammatory responses and oxidative stress by activating Nrf2 signaling pathway and intervening in related pathways such as those involving Kelch-like ECH-associated protein 1,heme oxygenase-1,antioxidant response element and AMP-activated protein kinase,thereby alleviating sepsis-induced lung injury.

Objective:To construct a prior based on the inherent properties of PET to accurately segment the lesion areas.Methods:A network framework for PET tumor segmentation driven by geodesic priors was proposed (geodesic network for short). Specifically, partial differential equations were constructed to characterize the geodesic distances between different regions in PET images. Tumor marker points identified by CT labeling were used as the initial conditions for the equations. To enhance the contrast between areas of lung or breast tumors and normal tissues, a smooth Heaviside function was utilized to map the geodesic distances. The network framework adopted a dual-branch architecture, using geodesic priors to assist in PET image segmentation.Results:The proposed method achieved a Dice coefficient of 94.92% in lung cancer segmentation and 90.12% in breast cancer segmentation. With the addition of geodesic priors in the Unet, the Dice coefficient for breast cancer increased by 32.37% (from 42.50% to 74.87%).Conclusion:Geodesic priors can significantly improve segmentation outcomes and enhance the generalization capability of the network.

Objective:To construct a biosafety evaluation index system for major emergency public health events in medical institutions.Methods:Based on previous laboratory biosafety evaluation work, relevant regulations and standards on biosafety in China were collected through literature research and expert consultations. Candidate indicators for constructing the biosafety evaluation system for major emergency public health events in medical institutions were selected, and a framework was established. Two rounds of expert questionnaires were conducted to determine the content of the index system based on experts′ evaluation, and each indicator′s relevance and importance were scored. Finally, two rounds of Delphi consultations were carried out, and the Analytic Hierarchy Process (AHP) was applied to calculate the weights of indicators.Results:The response rates for the total four rounds of questionnaire surveys were all 100%. The first two rounds focused on determining the framework, while the latter two focused on determining the weights for each indicator. The authority coefficients of the expert consultations for the two rounds of weights were 0.65 and 0.70, respectively, indicating the reliability of the research results. In the final round of survey, the Kendall′s coefficients of concordance at each level were all greater than 0.1. Through statistical testing, the P-values were all less than 0.05, indicating good coordination of expert opinions. Ultimately, we established an operational biosafety evaluation system for major emergency public health events in medical institutions, consisting of 4 primary indicators, 26 secondary indicators, and 119 tertiary indicators, with additional deduction items, bonus items, unacceptable items, and monitoring indicators.Conclusions:Based on scientific theory, a biosafety evaluation system for major emergency public health events in medical institutions was constructed, achieving the integration of routine and emergency measures. This system can be used for self-assessment of laboratory biosafety during emergency public health events, addressing the lack of unified standards in biosafety evaluation. Through regular self-assessment, it can enhance the level of biosafety management in medical institution laboratories, to realize the value of application and dissemination.

Objective:To construct a prior based on the inherent properties of PET to accurately segment the lesion areas.Methods:A network framework for PET tumor segmentation driven by geodesic priors was proposed (geodesic network for short). Specifically, partial differential equations were constructed to characterize the geodesic distances between different regions in PET images. Tumor marker points identified by CT labeling were used as the initial conditions for the equations. To enhance the contrast between areas of lung or breast tumors and normal tissues, a smooth Heaviside function was utilized to map the geodesic distances. The network framework adopted a dual-branch architecture, using geodesic priors to assist in PET image segmentation.Results:The proposed method achieved a Dice coefficient of 94.92% in lung cancer segmentation and 90.12% in breast cancer segmentation. With the addition of geodesic priors in the Unet, the Dice coefficient for breast cancer increased by 32.37% (from 42.50% to 74.87%).Conclusion:Geodesic priors can significantly improve segmentation outcomes and enhance the generalization capability of the network.