With the rapid advancement of hemodynamic indices and monitoring technologies, their classification methods and application processes have become increasingly complex. Currently, no unified standard hasbeen established, making it difficult to fully meet the clinical requirements for hemodynamic management. To assist in hemodynamic monitoring assessment and therapeutic decision-making in critically ill patients, the Critical Hemodynamic Therapy Collaborative Group, in conjunction with the Critical Ultrasound Study Group, has jointly developed the Standard for the Application of Hemodynamic Monitoring Techniques in Critical Care. The first part of this standard systematically categorizes hemodynamic indicators into flow indicators, pressure and its derivative indicators, and tissue perfusion indicators, while elaborating on the clinical application of each. The second part establishes a standardized clinical implementation pathway for hemodynamic monitoring. It proposes a tiered monitoring strategy-comprising basic, advanced, indication-specific, and special scenario monitoring-tailored to different clinical settings. It emphasizes the central role of critical care ultrasound across all levels of monitoring and establishes hemodynamic assessment standards for organs such as the brain, kidneys, and gastrointestinal tract. This standard aims to provide a unified framework for clinical practice, teaching, training, and research in critical care medicine, thereby promoting standardized development within the discipline.

Animal experimentation constitutes a critical link between basic research and clinical application, making its research quality and translational efficiency paramount. Although considerable progress has been made in standardizing operational procedures and ethical guidelines, the standardization of outcome evaluation systems has significantly lagged, creating a key bottleneck that constrains the quality of biomedical research and evidence synthesis. This deficiency is manifested by pronounced heterogeneity in outcome selection across similar studies, incomplete methodological reporting, and disparate criteria for result interpretation, which severely impairs the comparability of findings and the evidence integration. To cope with this challenge, this paper systematically introduces a mature methodological tool from clinical research–the core outcome set (COS)–and explores its construction strategies and application potential in the field of animal experimentation. Given the extensive diversity of animal experiments, a pragmatic strategy of "focusing on key areas, implementing phased pilots, and promoting gradual expansion" should be adopted. This approach prioritizes the development of domain-specific COS for disease areas characterized by high research volume, urgent translational needs, and well-established animal models. A multi-source integration pathway for COS development is detailed, comprising systematic literature searches, methodological appraisals, and expert consensus, with the feasibility of leveraging artificial intelligence (AI) to enhance efficiency also being examined. The development and promotion of such COS are not intended to restrict scientific exploration; rather, they aim to establish a new, tiered evaluation paradigm consisting of "core outcomes" (mandatory), "recommended outcomes" (encouraged), and "exploratory outcomes" (optional). This framework is expected not only to enhance research quality through standardization and to adhere to the "3R" principles but also to accelerate the accumulation of high-quality evidence. This, in turn, provides a solid foundation for higher-level evidence synthesis, ultimately facilitating the effective translation of basic research findings into clinical practice and providing an essential methodological framework for scientific advancement in relevant disciplines.

Aerosol removal using flame-retardant atomized fixatives, as a major means of aerosol control, has achieved remarkable results in the field of nuclear facility decommissioning and decontamination. Traditional atomized fixatives for aerosol removal have deficiencies in high-temperature resistance and flame retardancy, rendering them inadequate for operational scenarios involving high temperatures and flammability encountered during nuclear decommissioning. This paper investigates the current development of flame-retardant atomized fixatives for aerosol removal both domestically and internationally and presents a preliminary exploration of this technology. The experiments showed that atomized fixatives modified with flame-retardant properties not only maintained excellent aerosol capture efficiency, but also exhibited significantly improved flame-retardant performance. This confirmed the technical feasibility of the proposed approach. Finally, suggestions and reflections are proposed for the development of this technology and its application in nuclear facility decommissioning.

Objective To explore the imaging characteristics of lung cancers associated with cystic airspaces (LCCA) and the effects of different treatment regimens. Methods A retrospective analysis was conducted on the clinical and radiological data of LCCA patients who underwent surgical resection and pathological confirmation at the Department of Thoracic Surgery, the First Affiliated Hospital of Soochow University from 2016 to 2023. The relationship between various radiological classifications and clinical pathology was studied. Based on the postoperative adjuvant treatment follow-up results, the effects of different treatment regimens were analyzed. Results A total of 147 patients were included, including 90 males and 57 females, with a median age of 63 (55, 70) years. There were 21 patients of imaging typeⅠ, 50 patients of typeⅡ, 57 patients of type Ⅲ, and 19 patients of type Ⅳ. The lobulation sign or burr sign of typeⅠcyst walls (P=0.004), and intracystic septa (P=0.030) were more commonly seen in the high-aggressiveness group. The components of the cyst walls or nodules of types Ⅰ-Ⅳ in the high-aggressiveness group were mostly solid or sub-solid (P<0.05). Multivariate logistic regression analysis indicated that subsolid cyst wall (OR=4.734, P=0.023), solid cyst wall (OR=97.972, P<0.001), and the lobulation sign or burr sign of the cyst wall (OR=13.215, P=0.024) were independent risk factors for aggressiveness. Fifty-eight patients received adjuvant therapy after surgery, including 22 in the chemotherapy group, 15 in the targeted therapy group, and 21 in the combined therapy group. The progression-free survival of the combined therapy group was better than the other two groups (P=0.045). Conclusion There is a correlation between the imaging features of LCCA and pathological aggressiveness. Compared to postoperative targeted therapy or chemotherapy alone, postoperative chemotherapy combined with targeted therapy can improve the progression-free survival of LCCA patients.

Objective To investigate the expression of carcinoembryonic antigen-related cell adhesion molecule 6 (CEACAM6) in esophageal squamous cell carcinoma (ESCC) and analyze its correlation with immune cell infiltration and patient prognosis. Methods Three ESCC datasets (GSE161533, GSE26886, and GSE23400) from the GEO database were analyzed to identify differentially expressed genes. CEACAM6 was identified as a key gene through survival analysis. Its expression, prognostic value, and relationship with immune cell infiltration were further explored using databases, such as TIMER. Tissue samples were collected from 162 patients with ESCC. Immunohistochemistry was performed to detect the expression of CEACAM6, immune cell markers (CD4, CD8, CD20, and CD56), and immune checkpoint molecules (HHLA2 and CD40LG). Correlations between CEACAM6 expression and clinicopathological features, immune cell infiltration, and immune checkpoints were analyzed. Results Bioinformatic analysis and clinical sample validation confirmed that CEACAM6 expression was significantly upregulated in ESCC tissues compared with adjacent nontumor tissues (P<0.05). High CEACAM6 expression was closely associated with advanced clinical stage (AJCC Ⅲ-Ⅳ), high T stage (T3-T4), lymph node metastasis, nonulcerative type, and poor prognosis. Furthermore, CEACAM6 expression levels were positively correlated with the infiltration density of CD8⁺ T cells, CD4⁺ T cells, and CD20⁺ B cells within the tumor microenvironment and with the expression of the immune checkpoint molecules HHLA2 and CD40LG (all P<0.05). Conclusion CEACAM6 serves as an independent poor prognostic factor for ESCC. Its high expression is implicated in the modulation of the tumor immune microenvironment by correlating with specific immune cell infiltration and immune checkpoint molecules, suggesting its potential as a novel prognostic biomarker and immunotherapeutic target for ESCC.

Objective:To explore the efficacy and safety of combining targeted therapy and immunotherapy with standard chemotherapy in patients with advanced pancreatic cancer.Methods:This is a single-center retrospective cohort study. A total of 123 patients with advanced pancreatic cancer who received first-line systemic treatment at the Second Hospital of Hebei Medical University between January 2022 and December 2024 were retrospectively enrolled. There were 65 males and 58 females,with a mean age of (65.1±10.1) years (range:22 to 88 years). According to whether targeted therapy combined with immunotherapy was added to chemotherapy,patients were divided into a triplet group ( n=46) and a standard chemotherapy group ( n=77). The primary endpoints were overall survival (OS) and progression-free survival (PFS); secondary endpoints included radiological efficacy indicators (objective response rate (ORR), disease control rate (DCR),clinical benefit rate,etc.) and treatment-related adverse events. Propensity score matching (PSM,caliper=0.2) was used to balance baseline characteristics between groups. Kaplan-Meier curves were used to estimate survival,and Cox regression models were applied to analyze factors influencing OS and PFS. Results:In the original cohort,the median OS was 11 months in the triplet group and 8 months in the chemotherapy group,with no statistically significant difference ( P=0.056). The median PFS was 5 months in the triplet group and 3 months in the chemotherapy group,also without statistical significance ( P>0.05). Multivariate Cox regression analysis indicated that the triplet regimen was an independent prognostic factor for both OS and PFS ( P<0.05). After PSM,baseline balance between groups was good. The median OS was 10.0 months in the triplet group and 7.0 months in the chemotherapy group, with no significant difference ( P=0.094). In terms of efficacy, the ORR was 26.1% (12/46) in the triplet group versus 7.8% (6/77) in the chemotherapy group,with a statistically significant difference ( χ2=6.320, P=0.012). The DCR was 54.3% (25/46) in the triplet group and 33.8% (26/77) in the chemotherapy group,also statistically significant ( χ2=4.214, P=0.037). The incidence of adverse events was similar between groups,mostly grade 1 to 2. Conclusions:The triplet regimen of chemotherapy,targeted therapy,and immunotherapy shows potential in improving efficacy and prolonging survival with acceptable safety in patients with advanced pancreatic cancer. However, its definitive benefits require further investigation.

ObjectiveTo investigate the relationship between solute carrier family 7 member 11 （SLC7A11） expression in esophageal squamous cell carcinoma （ESCC） and clinical prognosis， and to determine its effects on ESCC cell growth， migration， and other biological activities. MethodsSLC7A11 protein expression was measured in 310 ESCC tissues and 259 adjacent normal tissues using immunohistochemistry to statistically assess the association of SLC7A11 with clinicopathologic characteristics and prognosis in ESCC patients. The expression of SLC7A11 in ESCC cell lines was suppressed through siRNA-mediated knockdown. The specific effects of SLC7A11 knockdown on proliferation and migration were evaluated using CCK-8， clonogenic assay， and Transwell assays. Adenosine triphosphate （ATP）， lactic acid and pyruvate assays were used to measure ESCC metabolism. ResultsSLC7A11 protein expression was localized predominantly in the cytoplasm of ESCC tissues. Significantly higher SLC7A11 expression levels were observed in ESCC tissues compared to adjacent normal tissues （P<0.001）. High SLC7A11 expression was associated with poorer differentiation in patients （P<0.01）. Kaplan-Meier survival analysis demonstrated significantly shorter overall survival in patients with high SLC7A11 expression compared to those with low expression （P<0.05）. CCK-8 and colony formation assays demonstrated that the knockdown of SLC7A11 expression significantly suppressed the proliferative capacity of tumor cells （P<0.001）. Furthermore， Transwell assays revealed a marked decline in tumor cell migration capacity following SLC7A11 suppression （P<0.001）. Critically， SLC7A11 knockdown also reduced intracellular levels of ATP， lactate， and pyruvate， demonstrating that SLC7A11 modulated metabolic activity in ESCC cells（P<0.001）. ConclusionThe expression level of SLC7A11 is relatively high in ESCC and is strongly associated with poor prognosis. Silencing SLC7A11 significantly inhibits esophageal cancer cell growth and migration. SLC7A11 has the ability to regulate glucose， lactic acid and ATP metabolism levels in ESCC， thereby affecting the metabolic microenvironment of ESCC.

Objective To investigate the species of sandflies and the prevalence of Leishmania infections in sandflies from selected areas of northern and northwestern China, so as to provide insights into identification of leishmaniasis vectors and assessment of epidemiological trends of leishmaniasis in China. Methods Sandfly samples were collected from Mentougou District of Beijing Municipality, Xiangning County in Linfen City of Shanxi Province, Ejin Banner in Alxa League of Inner Mongolia Autonomous Region, and Payzawat County of Karamay District of Karamay City, Gaochang District of Turpan City in Xinjiang Uygur Autonomous Region from July 2023 to July 2024. Approximately 100 intact female sandfly samples were randomly selected from each site and the species of sandflies was identified according to morphological characteristics and molecular assays. Female sandflies originating from the same habitat were grouped into pools of 10 individuals. Leishmania infection was detected using polymerase chain reaction (PCR) assay targeting the internal transcribed spacer 1 (ITS-1) gene, and the prevalence of Leishmania infection was calculated in sandflies from different sampling sites using the minimum infection rate (MIR) method. In addition, positive amplicons were sequenced and subjected to phylogenetic analysis. Results A total of 6 155 sandflies were collected from different environments at sampling sites across the six aforementioned regions from July 2023 to July 2024. Phlebotomus chinensis (96.00%) was the dominant sandfly species in Mentougou District, Beijing Municipality, with a small proportion of Ph. sergenti (4.00%), and only Ph. chinensis was found in Xiangning County, Linfen City, Shanxi Province. Ph. wui was the only sandfly species detected in Ejin Banner, Alxa League, Inner Mongolia Autonomous Region, and Payzawat County, Kashgar City, Xinjiang Uygur Autonomous Region, and Ph. caucasicus (97.70%) was the dominant sandfly species in Karamay District, Karamay City, Xinjiang Uygur Autonomous Region, with a small proportion of Ph. wui (2.30%), while Ph. alexandri was the only species in Gaochang District, Turpan City, Xinjiang Uygur Autonomous Region. A total of 40, 60, 34, 18, 18, and 22 pools of sandfly samples were tested from Mentougou District in Beijing Municipality, Xiangning County in Linfen City of Shanxi Province, Ejin Banner in Alxa League of Inner Mongolia Autonomous Region, Payzawat County in Kashgar City, Karamay District in Karamay City, and Gaochang District in Turpan City of Xinjiang Uygur Autonomous Region, respectively. L. infantum was detected in Ph. chinensis samples from Mentougou District in Beijing Municipality, and Xiangning County of Linfen City in Shanxi Province, with MIR of 0.25% to 1.00%, and L. donovani was detected in Ph. wui from Ejin Banner in Alxa League of Inner Mongolia Autonomous Region, and Payzawat County in Kashgar City of Xinjiang Uygur Autonomous Region, with MIR of 0.56% to 0.88%; however, no Leishmania infection was detected in Ph. caucasicus from Karamay District in Karamay City or Ph. alexandri from Gaochang District in Turpan City of Xinjiang Uygur Autonomous Region. Phylogenetic analysis showed that the Leishmania ITS-1 gene sequences obtained from Mentougou District in Beijing Municipality and Xiangning County in Linfen City of Shanxi Province were clustered into the same clade with the reference sequences of L. infantum ITS-1 gene, while the Leishmania ITS-1 gene sequences obtained from Ejin Banner in Alxa League of Inner Mongolia Autonomous Region and Payzawat County in Kashgar City of Xinjiang Uygur Autonomous Region were clustered into the same clade with the reference sequences of L. donovani ITS-1 gene. Conclusions There are variations in sandfly species in selected areas of northern and northwestern China, and variations in the species of Leishmania infecting sandflies. Improved surveillance of sandfly vectors and targeted control strategies with adaptations to geographical features and leishmaniasis vectors are recommended.

ObjectiveQi deficiency and phlegm dampness syndrome is a common type of clinical traditional Chinese medicine（TCM） syndrome. However， there is no standard， scientific， and accurate report on the construction of animal models of Qi deficiency and phlegm dampness syndrome. This study aims to construct a mouse model of Qi deficiency and phlegm dampness syndrome by using a multi-factor composite modeling method and to evaluate the model. MethodsTwenty-one C57BL/6 mice were randomly divided into three groups with seven mice in each group， which were the normal group， model group， and Shenling Baizhusan （SLBZ） group. The control group was fed with ordinary diet and kept in a normal environment. The model group and SLBZ group were fed with a high-fat diet in a high-humidity environment. Swimming with heavy weights until exhaustion and gavage with cold water or lard were used to establish the mouse model of Qi deficiency and phlegm dampness syndrome. In order to test the syndrome by prescription， mice in the SLBZ group were treated with SLBZ for 14 days after model construction. The exhaustive swimming time， body weight， serum lipid levels， tongue changes， "Qi deficiency and phlegm dampness" assessment scale score， and cecal index of mice in each group were measured. The feces of each group of mice were sent for metagenomics and metabolome sequencing， and the changes in intestinal flora and metabolites were analyzed. ResultsAfter the modeling of Qi deficiency and phlegm dampness syndrome， the exhaustive swimming time of mice was obviously shortened （P<0.01）. The serum total cholesterol， low density lipoprotein cholesterol， and non-high density lipoprotein cholesterol of mice were significantly increased （all P<0.01）. The tongue of mice was significantly different from that of the normal group， and the score of the assessment scale was significantly higher than that of the control group （P<0.01）. Cecal index decreased significantly （P<0.01）. The serum lipid level， tongue image， assessment scale score， and cecal index were reversed in the SLBZ group. Metagenomic and metabolome sequencing results showed that intestinal flora and fecal metabolites were significantly changed in mice with Qi deficiency and phlegm dampness syndrome. Akkermansia_muciniphila， Faecalibaculum_rodentium， Eubacterium_plexicaudatum， Eubacterium sp 14_2， Candida glabrata， Romboutsia_ilealis， Turicibacter sp TS3， and other bacteria had significant changes， and the expressions of intestinal metabolites such as chenodeoxycholic acid， choline， L-phenylalanine betaine， and 2-phenylbutyric acid were significantly changed. Related metabolic pathways such as linoleic acid metabolism， primary bile acid biosynthesis， lysine degradation， arginine biosynthesis， and alpha-linolenic acid metabolism were affected. ConclusionThe Qi deficiency and phlegm dampness model of mice can be constructed by the multi-factor composite modeling method of high-fat diet feeding， high-humidity environment feeding， exhaustive swimming with heavy weight， and intragastric administration with cold water or lard. The blood lipid level， tongue change， score of "Qi deficiency and phlegm dampness assessment scale"， cecal index， and changes in related intestinal flora and metabolites of mice can be used as key indicators for model evaluation.

BACKGROUND:Myocardial hypertrophy often leads to severe cardiovascular diseases and is difficult to diagnose due to its early stages being hard to detect.Circulating inflammatory proteins have been found to be significantly associated with cardiovascular diseases,yet the specific mechanisms linking them to myocardial hypertrophy remain unclear.OBJECTIVE:To investigate the relationship between circulating proteins and myocardial hypertrophy using multiple Mendelian randomization approaches.METHODS:Utilizing data from 91 circulating inflammatory proteins in the GWAS Catalog database and the latest myocardial hypertrophy data from the R11 FinnGen database,we employed bidirectional two-sample Mendelian randomization,multivariate Mendelian randomization,and Genome-Wide Association Studies co-localization to investigate the causal relationship between circulating inflammatory proteins and myocardial hypertrophy.The accuracy of the results was verified through sensitivity tests including MR-PRESSO,Cochran's Q test,MR-Egger intercept assessment,leave-one-out analysis,and funnel plot analysis.RESULTS AND CONCLUSION:In the results of two-sample Mendelian randomization,the primary method used for evaluation was the Inverse Variance Weighting(IVW)approach.It was found that the level of T-cell surface glycoprotein CD6 isoform(IVW:P=0.046,OR=0.74,95％Cl:0.66-1.00),level of slit chemokine(IVW:P=2.1×10-2,OR=0.74,95％CI:0.556-0.95),level of Delta and Notch-like epidermal growth factor-related receptor(IVW:P=3.7×10-4,OR=0.66,95％CI:0.49-0.87),level of interleukin-2(IVW:P=3.8×103,OR=0.667,95％CI:0.50-0.88),and sulfotransferase 1A1(IVW:P=1.42×102,OR=0.80,95％CI:0.67-0.96)had a unidirectional causal effect on cardiac hypertrophy.(2)Among the findings in multivariate Mendelian randomization,the levels of the CD6 isoform of T-cell surface glycoprotein(IVW:P=1.39×102,OR=0.81,95％CI:0.69-0.96)and the levels of Delta and Notch-like epidermal growth factor-related receptor(IVW:P=3.7×10-2,OR=0.73,95％CI:0.55-0.98)were positive,indicating that the results remained significant after excluding the effects of other circulating inflammatory proteins that had an impact on myocardial hypertrophy.(3)In colocalization,T-cell surface glycoprotein CD6 isoform levels had H3+H4=0.96,with the most significant single nucleotide polymorphism being rs59570070,suggesting an intrinsic link between T-cell surface glycoprotein CD6 isoform levels and myocardial hypertrophy.(4)Sensitivity results showed no abnormalities,indicating no heterogeneity or pleiotropic effects influencing the results.(5)These results verified that T cell surface glycoprotein CD6 isoforms,Slit chemokine,Delta and Notch-like epidermal growth factor-related receptors,interleukin-2,and sulfotransferase 1A1 had a unidirectional causal effect on myocardial hypertrophy.T cell surface glycoprotein CD6 isoforms and Delta and Notch-like epidermal growth factor-related receptors had the deepest impact,suggesting that there may be related pathways between T cell surface glycoprotein CD6 isoforms and myocardial hypertrophy.Mendelian randomization studies require large amounts of clinical data and therefore often use European samples from international databases for analysis.Since this analytical method has significant advantages in causal inference,precision medicine,and cross-population validation,its research results still hold great significance for the medical development in China.As Mendelian randomization research deepens,it also promotes the collection and analysis of clinical data in China to some extent.In the future,we can further analyze key protein mechanisms,combine multiomics and clinical validation,develop an inflammatory marker monitoring system and novel anti-inflammatory therapies,thereby promoting the prevention and control of cardiovascular diseases and the development of personalized medicine.