Objective:This study used data-independent acquisition (DIA) proteomics to analyze plasma protein expression in sepsis-induced coagulopathy (SIC), identify key biomarkers, and develop a diagnostic model.Methods:This prospective study included 46 adult sepsis patients from the intensive care unit. Patients were categorized into a general sepsis group ( n=26) and an SIC group ( n=20) based on established SIC criteria. Plasma samples underwent proteomic and bioinformatics analyses to identify differentially expressed protein (DEP) using LASSO regression and Random Forest. A diagnostic model was constructed and assessed via receiver operating characteristic (ROC) curve analysis. Results:The baseline data revealed that SIC patients exhibited longer prothrombin times, lower platelet counts, and higher D-dimer, fibrin degradation products, blood lactate, SOFA scores, and APACHE Ⅱ scores compared with general sepsis patients ( P<0.05). DIA proteomics identified 2 637 proteins, with 240 DEP meeting the criteria (fold change >1.5, P<0.05), including 81 upregulated and 159 downregulated DEP. Subcellular localization analysis revealed that DEPs were predominantly extracellular and nuclear. Gene ontology (GO) annotation showed that DEP were mainly involved in cellular physiology, biological regulation, and stress response processes in biological processes. Domain annotation revealed a predominance of immunoglobulin V regions in DEP, which are crucial for antigen recognition and binding. KEGG enrichment analysis showed significant enrichment of DEP in pathways related to natural killer cell-mediated cytotoxicity, glycosylphosphatidylinositol anchor biosynthesis, tumor necrosis factor signaling, and NF-κB signaling. LASSO regression identified angiogenin and C-type lectin domain family 10 member A as key DEP. The SIC diagnostic nomogram showed an area under the curve of 0.896, with 0.731 specificity and 0.900 sensitivity. Conclusion:The nomogram incorporating angiogenin and C-type lectin domain family 10 member A provides an accurate tool for SIC diagnosis.

IgA nephropathy (IgAN) is the most common primary glomerulonephritis. Mesangial hyperplasia and deposition of IgA immune complex are typical pathological changes of IgAN. Animal model is an important tool to explore the pathogenesis, diagnosis and treatment plan, and evaluate the safety and efficacy of drugs. At present, there are many kinds of IgAN animal models, including humanized animal models and non-humanized animal models, and there are great differences in the modeling principle, method, time and pathological changes. The humanized animal model is closer to the pathogenesis of IgAN in humans and has gradually become a research hotspot. In this paper, common animal models of IgAN in detail from the aspects of modeling method and time, characteristics and significance of each model, and the research progress of anthropomorphic animal models are reviewed to provide reference and inspiration for the basic research of IgAN.

Objective:To examine the interaction between gender and the visceral adiposity index (VAI) in relation to the risk of type 2 diabetes mellitus (T2DM).Methods:This retrospective cohort study utilized data from the public Dryad database derived from the NAGALA (NAFLD in the Gifu Area, Longitudinal Analysis) project (1994-2016). Participants were stratified into quartiles based on VAI levels. A multivariate Cox proportional hazards regression model was employed to evaluate whether VAI independently predicts T2DM risk. Kaplan-Meier survival curves and receiver operating characteristic (ROC) curves were constructed for each VAI quartile. Subgroup analyses were conducted to examine associations across age and body mass index categories. Both multiplicative and additive interaction effects between gender and VAI were assessed. Additionally, gender-specific Cox models were fitted to further explore these associations.Results:A total of 15 453 participants [8 419 males and 7 034 females; mean age, (43.7±8.9) years] were included, with a median follow-up duration of 5.39 years. During follow-up, 373 participants (2.4%) developed T2DM. After adjustment for potential confounders, higher VAI levels were independently associated with increased T2DM risk ( HR=1.16; 95% CI 1.11-1.21), consistent with the results across VAI quartiles. Kaplan-Meier analysis revealed a significant trend of increasing T2DM incidence across VAI quartiles ( P<0.001). The area under the ROC curve for VAI in predicting T2DM at 3, 5, and 10 years was 0.755, 0.735, and 0.696, respectively. Sensitivity analyses showed that elevated VAI was associated with increased T2DM risk across all age and body mass index subgroups (all P<0.05). Regarding interaction analysis, the HR (95% CI) for the multiplicative interaction between VAI and gender was 1.22 (1.19-1.26). The relative excess risk of interaction was -1.08 (95% CI -2.96 to -0.06), the attributable proportion of interaction was -0.54 (95% CI -1.35 to -0.01), and the synergy index was 0.48 (95% CI 0.26-0.91), indicating a negative additive interaction. Using low-VAI women as the reference group, the risk of T2DM in high-VAI women was higher ( HR=2.53, 95% CI 1.59-4.02) compared to high-VAI men ( HR=2.01, 95% CI 1.49-2.72). In gender-specific analyses, increasing VAI remained significantly associated with elevated T2DM risk after adjustment in both females ( HR=1.43, 95% CI 1.21-1.68) and males ( HR=1.16; 95% CI 1.11-1.22), with consistent findings across VAI quartiles. Conclusions:VAI and gender demonstrated multiplicative and additive interaction in relation to T2DM risk. The association between increasing VAI and T2DM risk was more pronounced in women than in men.

Objective:This study used data-independent acquisition (DIA) proteomics to analyze plasma protein expression in sepsis-induced coagulopathy (SIC), identify key biomarkers, and develop a diagnostic model.Methods:This prospective study included 46 adult sepsis patients from the intensive care unit. Patients were categorized into a general sepsis group ( n=26) and an SIC group ( n=20) based on established SIC criteria. Plasma samples underwent proteomic and bioinformatics analyses to identify differentially expressed protein (DEP) using LASSO regression and Random Forest. A diagnostic model was constructed and assessed via receiver operating characteristic (ROC) curve analysis. Results:The baseline data revealed that SIC patients exhibited longer prothrombin times, lower platelet counts, and higher D-dimer, fibrin degradation products, blood lactate, SOFA scores, and APACHE Ⅱ scores compared with general sepsis patients ( P<0.05). DIA proteomics identified 2 637 proteins, with 240 DEP meeting the criteria (fold change >1.5, P<0.05), including 81 upregulated and 159 downregulated DEP. Subcellular localization analysis revealed that DEPs were predominantly extracellular and nuclear. Gene ontology (GO) annotation showed that DEP were mainly involved in cellular physiology, biological regulation, and stress response processes in biological processes. Domain annotation revealed a predominance of immunoglobulin V regions in DEP, which are crucial for antigen recognition and binding. KEGG enrichment analysis showed significant enrichment of DEP in pathways related to natural killer cell-mediated cytotoxicity, glycosylphosphatidylinositol anchor biosynthesis, tumor necrosis factor signaling, and NF-κB signaling. LASSO regression identified angiogenin and C-type lectin domain family 10 member A as key DEP. The SIC diagnostic nomogram showed an area under the curve of 0.896, with 0.731 specificity and 0.900 sensitivity. Conclusion:The nomogram incorporating angiogenin and C-type lectin domain family 10 member A provides an accurate tool for SIC diagnosis.

Objective:To analyze the incidence, mortality, survival patterns, and distribution characteristics of modifiable risk factors for colorectal cancer in selected global regions.Methods:Secondary analysis was conducted using data from the GLOBOCAN database and previous literature. We described the number of cases and age-standardized rates (ASRs) of incidence and mortality for colorectal cancer in China, the United States, the United Kingdom, and globally in 2022 and 2020, with gender-stratified analysis. ASRs were calculated using Segi's world standard population. Temporal trends in 5-year net survival rates were compared across three periods (2000-2004, 2005-2009, 2010-2014) among countries. Regional distribution differences in colorectal cancer deaths attributable to modifiable risk factors by gender were assessed in China.Results:In 2022, global colorectal cancer incidence and mortality were estimated at 1.926 million new cases and 904 000 deaths. China accounted for 27% of both global incidence (517 000 cases) and mortality (240 000 deaths). China's age-standardized incidence rate (20.1 per 100 000) was lower than those of the United States (27.0 per 100 000) and the UK (30.9 per 100 000). However, China's mortality rate (8.6 per 100 000) exceeded that of the US (7.9 per 100 000) but was lower than the UK (11.8 per 100 000). Compared to 2020, China demonstrated significant mortality reductions in 2022: males declined from 14.8 to 10.9 per 100 000, females from 9.4 to 6.5 per 100 000. Five-year net survival rates in China improved across periods for colon cancer (51.4%, 55.6%, 57.6%) and rectal cancer (49.5%, 52.5%, 56.9%), yet remained consistently lower than US and UK rates. Modifiable risk factors contributed to 45.1% of male and 41.4% of female colorectal cancer deaths in China, with marked regional disparities.Conclusions:China exhibits higher colorectal cancer incidence and mortality than global averages, with survival gaps persisting compared to developed nations. Regionally tailored comprehensive prevention strategies are essential to reduce disease burden through risk factor modification and optimized clinical management.

IgA nephropathy (IgAN) is the most common primary glomerulonephritis. Mesangial hyperplasia and deposition of IgA immune complex are typical pathological changes of IgAN. Animal model is an important tool to explore the pathogenesis, diagnosis and treatment plan, and evaluate the safety and efficacy of drugs. At present, there are many kinds of IgAN animal models, including humanized animal models and non-humanized animal models, and there are great differences in the modeling principle, method, time and pathological changes. The humanized animal model is closer to the pathogenesis of IgAN in humans and has gradually become a research hotspot. In this paper, common animal models of IgAN in detail from the aspects of modeling method and time, characteristics and significance of each model, and the research progress of anthropomorphic animal models are reviewed to provide reference and inspiration for the basic research of IgAN.

Objective:To examine the interaction between gender and the visceral adiposity index (VAI) in relation to the risk of type 2 diabetes mellitus (T2DM).Methods:This retrospective cohort study utilized data from the public Dryad database derived from the NAGALA (NAFLD in the Gifu Area, Longitudinal Analysis) project (1994-2016). Participants were stratified into quartiles based on VAI levels. A multivariate Cox proportional hazards regression model was employed to evaluate whether VAI independently predicts T2DM risk. Kaplan-Meier survival curves and receiver operating characteristic (ROC) curves were constructed for each VAI quartile. Subgroup analyses were conducted to examine associations across age and body mass index categories. Both multiplicative and additive interaction effects between gender and VAI were assessed. Additionally, gender-specific Cox models were fitted to further explore these associations.Results:A total of 15 453 participants [8 419 males and 7 034 females; mean age, (43.7±8.9) years] were included, with a median follow-up duration of 5.39 years. During follow-up, 373 participants (2.4%) developed T2DM. After adjustment for potential confounders, higher VAI levels were independently associated with increased T2DM risk ( HR=1.16; 95% CI 1.11-1.21), consistent with the results across VAI quartiles. Kaplan-Meier analysis revealed a significant trend of increasing T2DM incidence across VAI quartiles ( P<0.001). The area under the ROC curve for VAI in predicting T2DM at 3, 5, and 10 years was 0.755, 0.735, and 0.696, respectively. Sensitivity analyses showed that elevated VAI was associated with increased T2DM risk across all age and body mass index subgroups (all P<0.05). Regarding interaction analysis, the HR (95% CI) for the multiplicative interaction between VAI and gender was 1.22 (1.19-1.26). The relative excess risk of interaction was -1.08 (95% CI -2.96 to -0.06), the attributable proportion of interaction was -0.54 (95% CI -1.35 to -0.01), and the synergy index was 0.48 (95% CI 0.26-0.91), indicating a negative additive interaction. Using low-VAI women as the reference group, the risk of T2DM in high-VAI women was higher ( HR=2.53, 95% CI 1.59-4.02) compared to high-VAI men ( HR=2.01, 95% CI 1.49-2.72). In gender-specific analyses, increasing VAI remained significantly associated with elevated T2DM risk after adjustment in both females ( HR=1.43, 95% CI 1.21-1.68) and males ( HR=1.16; 95% CI 1.11-1.22), with consistent findings across VAI quartiles. Conclusions:VAI and gender demonstrated multiplicative and additive interaction in relation to T2DM risk. The association between increasing VAI and T2DM risk was more pronounced in women than in men.

Objective:To analyze the incidence, mortality, survival patterns, and distribution characteristics of modifiable risk factors for colorectal cancer in selected global regions.Methods:Secondary analysis was conducted using data from the GLOBOCAN database and previous literature. We described the number of cases and age-standardized rates (ASRs) of incidence and mortality for colorectal cancer in China, the United States, the United Kingdom, and globally in 2022 and 2020, with gender-stratified analysis. ASRs were calculated using Segi's world standard population. Temporal trends in 5-year net survival rates were compared across three periods (2000-2004, 2005-2009, 2010-2014) among countries. Regional distribution differences in colorectal cancer deaths attributable to modifiable risk factors by gender were assessed in China.Results:In 2022, global colorectal cancer incidence and mortality were estimated at 1.926 million new cases and 904 000 deaths. China accounted for 27% of both global incidence (517 000 cases) and mortality (240 000 deaths). China's age-standardized incidence rate (20.1 per 100 000) was lower than those of the United States (27.0 per 100 000) and the UK (30.9 per 100 000). However, China's mortality rate (8.6 per 100 000) exceeded that of the US (7.9 per 100 000) but was lower than the UK (11.8 per 100 000). Compared to 2020, China demonstrated significant mortality reductions in 2022: males declined from 14.8 to 10.9 per 100 000, females from 9.4 to 6.5 per 100 000. Five-year net survival rates in China improved across periods for colon cancer (51.4%, 55.6%, 57.6%) and rectal cancer (49.5%, 52.5%, 56.9%), yet remained consistently lower than US and UK rates. Modifiable risk factors contributed to 45.1% of male and 41.4% of female colorectal cancer deaths in China, with marked regional disparities.Conclusions:China exhibits higher colorectal cancer incidence and mortality than global averages, with survival gaps persisting compared to developed nations. Regionally tailored comprehensive prevention strategies are essential to reduce disease burden through risk factor modification and optimized clinical management.

Objective:To explore the relationship between insomnia and osteoporosis.Methods:Mendelian randomization (MR) analysis were used in this study. The single nucleotide polymorphisms (SNPs) related to insomnia from genome-wide association analysis research data were selected as the instrumental variables by using inverse variance weighted (IVW), MR-Egger regression, weighted median method, maximum likelihood, penalized weighted median estimator, and Mendelian randomization robust adjusted profile score (MR-RAPS) to determine the causal relationship between insomnia and osteoporosis. Odds ratio ( OR) and 95% confidence interval ( CI) values were used to evaluate the association between insomnia and osteoporosis. Cochran′s Q-test was used to detect heterogeneity of SNPs, MR-Egger regression was used to test for level pleiotropy, and the leave-one-out method was used to test sensitivity, MR pleiotropy residual sum and outlier (MR-PRESSO) method and radial MR were used to detect erroneous outliers. Results:The screening criteria were set based on the three major assumptions of MR; finally, 31 SNPs were included in the MR analysis. The results of MR causal effect analysis using the IVW method showed that insomnia increased the risk of osteoporosis by about 0.7% ( OR=1.007, 95% CI 1.001-1.014, P=0.044); heterogeneity testing showed heterogeneity between SNPs ( Q=57.91, P<0.001); and the MR- Egger intercept test did not indicate horizontal pleiotropy in this study (intercept value=3.807×10 -5, P=0.888). Leave-one-out method showed that no single SNP had a significant impact on the overall results. No abnormal SNP was detected according to the MR-PRESSO results ( P=0.059), and radial MR did not detect any outliers. Conclusion:Mendelian randomization analysis showed that insomnia can increase the risk of osteoporosis.

Objective:To understand the current status of human resources in Operating Room nursing in China, so as to provide reference for nursing management, human resource allocation, nursing education and training in Operating Rooms.Methods:Using the stratified sampling method, a self-made Operating Room nursing human resource survey questionnaire of Chinese Nursing Society was used as a research tool in July 2021 to investigate the general situation, surgical workload, human resource allocation, Operating Room management, Operating Room information construction, nursing education and training of 2 201 hospitals in 31 provinces, autonomous regions and municipalities of China.Results:Among the 2 201 hospitals, there were 1 021 tertiary hospitals (46.39%), 1 177 secondary hospitals (50.75%), and 63 primary and below hospitals (2.86%). There were 2 056 hospitals with less than 30 Operating Rooms, accounting for 93.41%. There were 1 991 hospitals with an annual number of surgical cases less than 20 000, accounting for 90.46%, the educational background of Operating Room nurses was mainly undergraduate (66.93%, 43 359/64 780), with a total of 67.99% (44 045/64 780) having a bachelor's degree or above. Nurses were the main professional titles (42.66%, 27 632/64 780). Number of Operating Rooms: the number of Operating Room nurses (median) was 1: 2.43 and 78.96% (1 738/2 201) of hospital operating theatres were managed by Nursing Departments or hospitals. A total of 1 479 hospitals (67.20%) established anesthesia recovery rooms in their Operating Rooms, which was higher than 59.34% (1 210 hospitals) surveyed in 2016, and the difference was statistically significant (χ 2=226.701, P<0.01). 74.69% (1 644/2 201) and 87.87% (1 934/2 201) of hospitals carried out post management and capacity classification management in Operating Rooms, respectively. Day surgery and robotic surgery were performed in 47.80% (1 052/201) and 7.68% (169/2 201) hospitals, respectively. 36.98% (814/2 201) of the hospitals passed the information evaluation system certification and 64.61% (1 422/2 201) of the hospitals used the Operating Room information management system. In the Operating Room information system of the hospital, 2.54% (56/2 201) had intelligent functions. And 77.24% (1 700/2 201) of hospitals participated in the qualification training of Operating Room specialist nurses. Conclusions:By July 2021, the number of Operating Rooms in most hospitals in China is less than 30, and the annual number of operating cases is less than 20 000. The educational background and professional title of Operating Room nurses are mainly undergraduate and nurse. More than 60% of hospitals have set up anesthesia recovery rooms and have information management systems for Operating Rooms. At the same time, Operating Rooms in Chinese hospitals have widely implemented diversified nursing management models such as post management and ability grading management.