Objective:To investigate the distribution of pathogens and changes in serum levels of pyruvate kinase isozyme type M2 (PKM2) and Galectin-3 in patients with severe trauma complicated by ventilator-associated pneumonia (VAP).Methods:A total of 139 patients with severe trauma and underwent mechanical ventilation in Zhangjiakou First Hospital from February 2022 to February 2024 were selected as the study subjects. They were divided into the VAP group (57 cases) and non- VAP group (82 cases) based on whether they developed VAP. The distribution of pathogenic bacteria in the VAP group was analyzed. Enzyme-linked immunosorbent assay (ELISA) method was applied to determine the expression levels of serum PKM2 and Galectin-3. Multivariate Logistic regression was applied to analyze the influencing factors of VAP in patients with severe trauma. Receiver operator characteristic (ROC) curve was applied to analyze the diagnostic value of serum PKM2 and Galectin-3 levels for severe trauma complicated by VAP.Results:Seventy-one strains of pathogenic bacteria were isolated from 57 patients in the VAP group, mainly including Gram positive bacteria (36.62%), Gram negative bacteria (59.15%), and fungi (4.23%). Among them, Gram positive bacteria were mainly Staphylococcus epidermidis and Staphylococcus aureus, Gram negative bacteria were mainly Acinetobacter baumannii and Klebsiella pneumoniae, and fungi were mainly tropical Candida and Candida albicans. The proportion of history of diabetes, the proportion of eating through nasogastric tube, the proportion of trauma severity score ≥ 16 and the levels of serum PKM2 and Galectin-3 in the VAP group were higher than those in the non- VAP group: 54.39%(31/57) vs. 32.93%(27/82), 82.46%(47/57) vs. 52.44%(43/82), 66.67%(38/57) vs. 24.39%(20/82), (32.46 ± 7.28) μg/L vs. (24.25 ± 6.17) μg/L, (3.26 ± 0.75) ng/L vs. (2.39 ± 0.61) ng/L, there were statistical differences ( P<0.05). Serum PKM2, Galectin-3, history of diabetes, nasal feeding mode and trauma severity score were the influencing factors of severe trauma patients complicated by VAP ( P<0.05). The area under the curve (AUC) of serum PKM2, Galectin-3, and their combination in predicting severe trauma complicated by VAP was 0.90, and the combination of the two was superior to their respective individual diagnoses ( Zcombination - PKM2 = 2.00, Zcombination - Galectin-3 = 1.99, P = 0.046, 0.047), its sensitivity and specificity were 92.98% and 84.15%, respectively. Conclusions:The distribution of urinary tract pathogens in patients with severe trauma complicated by VAP is mainly Gram negative bacteria, and serum PKM2 and Galectin-3 levels are obviously increased in patients with severe trauma complicated by VAP . The combination of the two has higher diagnostic value for severe trauma complicated by VAP and certain clinical application value.

Objective:To investigate the influence of diabetes mellitus (DM) and high-sen-sitivity C-reactive protein (Hs-CRP) on the risk of digestive system malignancy.Methods:The pro-spective cohort study was conducted. The clinical data of 93 928 participants who participated health examination in 9 hospitals at Tangshan, including Kailuan General Hospital Affiliated to North China University of Science and Technology et al, in 2006 were selected. According to the presence or absence of DM and the level of Hs-CRP, all participants were divided into 4 groups, including the DM(-)CRP(-) group defined as absence of DM and Hs-CRP ≤3 mg/L, the DM(-)CRP(+) group defined as absence of DM and Hs-CRP>3 mg/L, the DM(+)CRP(-) group defined as presence of DM and Hs-CRP ≤3 mg/L, and the DM(+)CRP(+) group defined as presence of DM and Hs-CRP >3 mg/L. The data of participants were collected by a fixed team of physicians. The first physical examination in 2006 was taken as the starting point for follow-up. The end event of follow-up was defined as the occurrence of digestive system malignancy or death, and the follow-up was up to December 31, 2021. Observation indicators: (1) comparison of clinical data among the 4 groups of participants; (2) the incidence and cumulative incidence rate of digestive system malignancy in participants; (3) influence of DM and Hs-CRP level on the risk of digestive system malignancy; (4) the combined influence of DM and Hs-CRP level on the risk of digestive system malignancy; (5) sensitivity analysis. Comparison of measurement data with normal distribution among multiple groups was conducted using the one-way analysis of variance. For pairwise comparison, least significant difference test was used for homogeneity of variance, and Dunnett′s T3 test was used for heterogeneity of variance. Comparison of measurement data with skewed distribution among multiple groups was conducted using the Kruskal-Wallis rank sum test, and Dunn-Bonferroni test was used for pairwise comparison. Comparison of count data among multiple groups was conducted using the chi-square test, and Bonferroni test was used among multiple comparisons. The Kaplan-Meier method was used to plot cumulative incidence curve, and Log-rank test was used for cumulative incidence rate analysis. The Cox proportional risk model was used for multivariate analysis. All models were adjusted for relevant confounders. Results:(1) Comparison of clinical data among the 4 groups of participants. Of the 93 928 participants, there were 70 743 cases in the DM(-)CRP(-) group, 14 644 cases in the DM(-)CRP(+) group, 6 425 cases in the DM(+)CRP(-) group, and 2 116 cases in the DM(+)CRP(+) group. There were significant differences in gender, age, fasting blood glucose, Hs-CRP, triglyceride, alanine aminotransferase, body mass index, marrital status, smoking, drinking, high school degree or above, physical exercise, high salt diet, high fat diet, positive hepatitis B virus surface antigen, fatty liver, liver cirrhosis, gallstone, taking hypoglycemic drugs, taking lipid-lowering drugs among the 4 groups of participants ( P<0.05). (2) The incidence and cumulative incidence rate of digestive system malignancy in participants. At the end-up of follow-up, 2 008 cases developed digestive system malignancy in the 93 928 participants, including 717 cases of colorectal cancer, 456 cases of liver cancer, 396 cases of gastric cancer, 195 cases of esophageal cancer, 144 cases of pancreatic cancer, 65 cases of gallbladder cancer or extrahepatic cholangiocarcinoma, 35 cases of small bowel cancer. The cumulative incidence rates of digestive system malignancy were 2.19%, 2.42%, 2.86%, 3.59% in participants of the DM(-)CRP(-) group, DM(-)CRP(+) group, DM(+)CRP(-) group, DM(+)CRP(+) group, respectively, showing a significant difference among the 4 groups ( χ2=31.72, P<0.05). (3) Influence of DM and Hs-CRP level on the risk of digestive system malignancy. After adjusting for the confounding factors of the participants, results of multivariate analysis showed that DM and Hs-CRP >3 mg/L were independent influencing factors for the incidence of digestive system malignancy ( hazard ratio=1.32, 1.19, 95% confidence interval as 1.13-1.56, 1.06-1.33, P<0.05). Futher analysis showed that there was a significant difference in interaction between DM and Hs-CRP >3 mg/L ( P<0.05). (4) The combined influence of DM and Hs-CRP level on the risk of digestive system malign-ancy. After adjusting for confounding factors, results of multivariate analysis showed that using the DM(-)CRP(-) group as the control group, the risk of incidence of digestive system malignancy increased in the DM(-)CRP(+) group, DM(+)CRP(-) group, and DM(+)CRP(+) group, respectively ( hazard ratio=1.14, 1.23, 1.79, 95% confidence interval as 1.01-1.29, 1.02-1.48, 1.38-2.31, P<0.05). In the site-specific analysis of digestive system malignancy, using the DM(-)CRP(-) group as the control group, the risk of incidence of liver cancer increased in the DM(-)CRP(+) group ( hazard ratio=1.37, 95% confidence interval as 1.07-1.75, P<0.05), the risk of incidence of liver cancer and pancrea-tic cancer increased in the DM(+)CRP(-) group ( hazard ratio=1.60, 1.74, 95% confidence interval as 1.16-2.21, 1.00-3.02, P<0.05), the risk of incidence of small bowel cancer, pancreatic cancer and colorectal cancer increased in the DM(+)CRP(+) group ( hazard ratio=5.05, 2.31, 2.23, 95% confidence interval as 1.57-16.21, 1.00-5.31, 1.54-3.24, P<0.05). (5) Sensitivity analysis. After adjusting for confounding factors of excluding 3 types of participants (103 cases of digestive system malignancy within 1 year of follow-up, 2 370 cases of taking glucose-lowering drugs, and 915 cases of taking lipid-lowering drugs), results of multivariate analysis showed that using the DM(-)CRP(-) group as the control group, the risk of incidence of digestive system malignancy increased in the DM(+)CRP(-) group, and DM(+)CRP(+) group, respectively ( hazard ratioexcluding cases of digestive system malignancy within 1 year of follow-up=1.26, 1.66, 95% confidence interval as 1.04-1.52, 1.26-2.18, P<0.05; hazard ratioexcluding cases taking glucose-lowering drugs=1.23, 1.75, 95% confidence interval as 1.02-1.49, 1.31-2.33, P<0.05; hazard ratioexcluding cases taking lipid-lowering drugs=1.24, 1.80, 95% confidence interval as 1.03-1.49, 1.39-2.34, P<0.05). Conclusions:DM and Hs-CRP >3 mg/L are independent influencing factors for the incidence of digestive system malignancy. There is an interation and synergistic effect between DM and Hs-CRP to promote the incidence of digestive system malignancy.

The term"heat stroke"originates from the integration of modern traditional Chinese and Western medicine.In clinical practice,the complementary advantages of the two medical systems can significantly enhance the clinical diagnosis and treatment level of heat stroke.Through comprehensively analyzes the traditional Chinese medicine(TCM)nomenclature for heat stroke,proposing that heat stroke is a type of sunstroke characterized by intense and pure yang nature,specifically referring to symptoms caused directly or indirectly by hot weather.It can be referenced under the categories of Zhongye,Shuwen,Yinshu/Yangshu,Shujue,and Shufeng for treatment.The article reviews the TCM diagnostic and therapeutic thinking for heat stroke,summarizing its etiology and pathogenesis,including summerheat directly entering the Yangming,heat entering the heart and nutrient-blood aspects,evil combined with water(post-emergency),dual injury of qi and fluid(post-mild recovery),and phlegm-stasis obstructing collaterals(post-severe recovery).Based on years of clinical experience and combining the different clinical manifestations of heat stroke with TCM's four diagnostic methods,the article proposes a treatment plan that integrates Chinese and Western medicine,combining disease differentiation with syndrome differentiation.The main syndromes summarized include high fever with spasms(Yangming heat excess syndrome),diarrhea(Yangming fu syndrome-intestinal sweating),high fever with coma(heat entering the heart-nutrient syndrome),high fever with convulsions(extreme heat generating wind syndrome),heat stroke-induced coagulopathy(heat entering the blood aspect syndrome),edema after fluid resuscitation(Taiyang water retention syndrome),recovery phase(dual injury of qi and fluid syndrome),and sequelae(phlegm-stasis obstructing collaterals syndrome).For treatment,Baihu Jia Renshen decotion combined with Zengye Chengqi decotion is used for nourishing yin and increasing fluids,relaxing tendons,and stopping spasms for Yangming heat excess syndrome;Baihu decotion combined with Zengye decotion for clearing summerheat and nourishing yin for Yangming fu syndrome-intestinal sweating;Qingying decotion for clearing the nutrient aspect and cooling blood,penetrating heat,and nourishing yin for heat entering the heart-nutrient syndrome;Lingjiao Gouteng decotion for clearing heat and cooling the liver,extinguishing wind,and calming spasms for extreme heat generating wind syndrome;Wuling powder for draining and eliminating water retention for Taiyang water retention syndrome;Wang's Qing Shu Yiqi decotion for clearing summerheat and reducing fever,benefiting qi,and generating fluids for dual injury of qi and fluid syndrome;and Sanjia powder for clearing residual heat,resolving phlegm,and removing stasis from collaterals for phlegm-stasis obstructing collaterals syndrome.Starting from TCM theory and linking it with practice,the article combines Western disease differentiation with TCM syndrome differentiation,aiming to provide new ideas for the clinical treatment of heat stroke.

Objective:To investigate the predictive value of different obesity indicators for colorectal cancer (CRC) risk in different gender populations.Methods:This observational study was conducted within the Kailuan Study (Registration Number: ChiCTR-TNC-11001489). From July 2006 to October 2007, a total of 101,510 employed and retired individuals underwent health examinations, including gastrointestinal disease screening, hematological tests, and questionnaires, at Kailuan General Hospital and its 10 affiliated hospitals. After excluding those with incomplete data, 93,606 participants were included in this study and divided into male (74 852) and female (18 754) groups. CRC incidence was collected through physical examinations and questionnaires every two years. Each participant's follow-up period began at the time of the questionnaire and ended upon CRC diagnosis, death, or December 31, 2021. Body Mass Index (BMI), waist circumference, waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were quartiled (Q1, Q2, Q3, Q4), with Q1 serving as the control group. After adjusting for traditional risk factors such as age, total cholesterol, triglycerides, diabetes, hypertension, smoking status, alcohol consumption, and physical exercise, Cox regression models were used to calculate the correlations between BMI, waist circumference, WHR, WHtR, and CRC incidence in both male and female populations.Results:The age of all patients was (51±12) years, BMI was (25.06±3.49) kg/m 2, waist circumference was (86.94±9.97) cm, hip circumference was (97.30±8.81) cm, WHR was 0.89±0.07, and WHtR was 0.52±0.06.Female participants had significantly lower BMI, waist circumference, WHR, and WHtR compared to males, with statistically significant differences (all P<0.05). The mean follow-up duration for all participants was 15.01 (14.10±2.66) years, during which 718 CRC cases were identified, including 626 males (0.83%) and 92 females (0.49%). Cox proportional hazards models for males showed that CRC risk increased with waist circumference from Q3 (HR=1.43, 95%CI: 1.13-1.79, P=0.003) to Q4 (HR=1.45,95%CI: 1.14-1.82, P=0.002). Similarly, CRC risk increased with WHR from Q3 (HR=1.22, 95%CI: 1.01-1.53, P=0.007) to Q4 (HR=1.43, 95%CI: 1.14-1.79, P=0.002) and with WHtR from Q3 (HR=1.37, 95%CI: 1.08-1.74, P=0.009) to Q4 (HR=1.68, 95%CI: 1.33-2.12, P<0.001). For females, CRC risk increased with waist circumference from Q2 (HR=2.37, 95%CI: 1.20-4.67, P=0.012) to Q3 (HR=2.42, 95%CI: 1.21-4.84, P=0.013) but decreased in Q4 ( HR=2.08, 95%CI: 1.02-4.25, P=0.043). CRC risk increased significantly with WHR from Q2 (HR=2.20, 95%CI: 1.11-4.39, P=0.024) to Q3 (HR=2.89, 95%CI: 1.48-5.67, P=0.002) in females but was not statistically significant in Q4 ( P=0.074). Among females, CRC risk also increased significantly with WHtR in Q2 (HR=2.30, 95% CI: 1.16-4.56, P=0.017) and Q4 (HR=2.64, 95%CI: 1.32-5.29, P=0.006). There were no statistically significant differences in CRC risk associated with BMI in either male or female populations (both P>0.05). Conclusion:Waist circumference, WHR, and WHtR were better predictors of CRC risk than BMI in both male and female populations.

Objective:To investigate the association between single nucleotide polymorphism (SNP) of the protein phosphatase 1 regulatory subunit 1B( PPP1R1B) gene and schizophrenia in the Han population of northern Henan province. Methods:Utilizing Psychiatric Genomics Consortium 3 (PGC3) data, the SNPs of PPP1R1B gene which were significantly associated with schizophrenia were screened.Subsequently, totally 1 721 schizophrenia patients and 6 726 healthy controls from the Han population in northern Henan province were recruited for further analysis. The SNP rs907094, located within the PPP1R1B gene was validated, and the clinical symptoms of 386 schizophrenia patients were evaluated using the positive and negative syndrome scale (PANSS). Additionally, expression quantitative trait loci (eQTL) association analysis was conducted to explore the relationship between the rs907094 polymorphism and PPP1R1B gene expression.The PLINK v1.9, Genetic Power Calculater, SPSS 20.0 softwares were used for data analysis. Results:Significant differences in genotype AA, AG, GG(schizophrenia group: AA, 489(28.4%); AG, 848(49.3%); GG, 384(22.3%); control group: AA, 1 450(21.6%); AG, 3 386(50.3%); GG, 1 890(28.1%), χ2=45.418, P<0.05) and allele frequency(schizophrenia group: A, 1 826(53.1%); G, 1 616(46.9%); control group: A, 6 286(46.7%); G, 7 166(53.3%), χ2=43.877, P<0.05) were observed for SNP rs907094 between the schizophrenia group and control group. Individuals carrying allele A were identified to have a higher risk of developing schizophrenia compared to those carrying allele G ( OR=1.288, 95% CI=1.195-1.388). Furthermore, the genotype PPP1R1B gene was found to be associated with the clinical features of schizophrenia. A statistically significant difference was observed in the excitement/hostility factor between AA and GG patients with rs907094 (13.62±5.65, 15.54±4.66)( P<0.05). Additionally, significant differences were noted in the cognitive factor scores between AA and GA genotypes (17.76±5.58, 19.43±5.73)( P<0.05). Conclusions:In the Han population from northern Henan province, the rs907094 polymorphism of the PPP1R1B gene is associated with schizophrenia.And the specific locus may be implicated in arousal/hostility symptoms and cognitive dysfunction.

Objective:To investigate the distribution of pathogens and changes in serum levels of pyruvate kinase isozyme type M2 (PKM2) and Galectin-3 in patients with severe trauma complicated by ventilator-associated pneumonia (VAP).Methods:A total of 139 patients with severe trauma and underwent mechanical ventilation in Zhangjiakou First Hospital from February 2022 to February 2024 were selected as the study subjects. They were divided into the VAP group (57 cases) and non- VAP group (82 cases) based on whether they developed VAP. The distribution of pathogenic bacteria in the VAP group was analyzed. Enzyme-linked immunosorbent assay (ELISA) method was applied to determine the expression levels of serum PKM2 and Galectin-3. Multivariate Logistic regression was applied to analyze the influencing factors of VAP in patients with severe trauma. Receiver operator characteristic (ROC) curve was applied to analyze the diagnostic value of serum PKM2 and Galectin-3 levels for severe trauma complicated by VAP.Results:Seventy-one strains of pathogenic bacteria were isolated from 57 patients in the VAP group, mainly including Gram positive bacteria (36.62%), Gram negative bacteria (59.15%), and fungi (4.23%). Among them, Gram positive bacteria were mainly Staphylococcus epidermidis and Staphylococcus aureus, Gram negative bacteria were mainly Acinetobacter baumannii and Klebsiella pneumoniae, and fungi were mainly tropical Candida and Candida albicans. The proportion of history of diabetes, the proportion of eating through nasogastric tube, the proportion of trauma severity score ≥ 16 and the levels of serum PKM2 and Galectin-3 in the VAP group were higher than those in the non- VAP group: 54.39%(31/57) vs. 32.93%(27/82), 82.46%(47/57) vs. 52.44%(43/82), 66.67%(38/57) vs. 24.39%(20/82), (32.46 ± 7.28) μg/L vs. (24.25 ± 6.17) μg/L, (3.26 ± 0.75) ng/L vs. (2.39 ± 0.61) ng/L, there were statistical differences ( P<0.05). Serum PKM2, Galectin-3, history of diabetes, nasal feeding mode and trauma severity score were the influencing factors of severe trauma patients complicated by VAP ( P<0.05). The area under the curve (AUC) of serum PKM2, Galectin-3, and their combination in predicting severe trauma complicated by VAP was 0.90, and the combination of the two was superior to their respective individual diagnoses ( Zcombination - PKM2 = 2.00, Zcombination - Galectin-3 = 1.99, P = 0.046, 0.047), its sensitivity and specificity were 92.98% and 84.15%, respectively. Conclusions:The distribution of urinary tract pathogens in patients with severe trauma complicated by VAP is mainly Gram negative bacteria, and serum PKM2 and Galectin-3 levels are obviously increased in patients with severe trauma complicated by VAP . The combination of the two has higher diagnostic value for severe trauma complicated by VAP and certain clinical application value.

Objective:To investigate the influence of diabetes mellitus (DM) and high-sen-sitivity C-reactive protein (Hs-CRP) on the risk of digestive system malignancy.Methods:The pro-spective cohort study was conducted. The clinical data of 93 928 participants who participated health examination in 9 hospitals at Tangshan, including Kailuan General Hospital Affiliated to North China University of Science and Technology et al, in 2006 were selected. According to the presence or absence of DM and the level of Hs-CRP, all participants were divided into 4 groups, including the DM(-)CRP(-) group defined as absence of DM and Hs-CRP ≤3 mg/L, the DM(-)CRP(+) group defined as absence of DM and Hs-CRP>3 mg/L, the DM(+)CRP(-) group defined as presence of DM and Hs-CRP ≤3 mg/L, and the DM(+)CRP(+) group defined as presence of DM and Hs-CRP >3 mg/L. The data of participants were collected by a fixed team of physicians. The first physical examination in 2006 was taken as the starting point for follow-up. The end event of follow-up was defined as the occurrence of digestive system malignancy or death, and the follow-up was up to December 31, 2021. Observation indicators: (1) comparison of clinical data among the 4 groups of participants; (2) the incidence and cumulative incidence rate of digestive system malignancy in participants; (3) influence of DM and Hs-CRP level on the risk of digestive system malignancy; (4) the combined influence of DM and Hs-CRP level on the risk of digestive system malignancy; (5) sensitivity analysis. Comparison of measurement data with normal distribution among multiple groups was conducted using the one-way analysis of variance. For pairwise comparison, least significant difference test was used for homogeneity of variance, and Dunnett′s T3 test was used for heterogeneity of variance. Comparison of measurement data with skewed distribution among multiple groups was conducted using the Kruskal-Wallis rank sum test, and Dunn-Bonferroni test was used for pairwise comparison. Comparison of count data among multiple groups was conducted using the chi-square test, and Bonferroni test was used among multiple comparisons. The Kaplan-Meier method was used to plot cumulative incidence curve, and Log-rank test was used for cumulative incidence rate analysis. The Cox proportional risk model was used for multivariate analysis. All models were adjusted for relevant confounders. Results:(1) Comparison of clinical data among the 4 groups of participants. Of the 93 928 participants, there were 70 743 cases in the DM(-)CRP(-) group, 14 644 cases in the DM(-)CRP(+) group, 6 425 cases in the DM(+)CRP(-) group, and 2 116 cases in the DM(+)CRP(+) group. There were significant differences in gender, age, fasting blood glucose, Hs-CRP, triglyceride, alanine aminotransferase, body mass index, marrital status, smoking, drinking, high school degree or above, physical exercise, high salt diet, high fat diet, positive hepatitis B virus surface antigen, fatty liver, liver cirrhosis, gallstone, taking hypoglycemic drugs, taking lipid-lowering drugs among the 4 groups of participants ( P<0.05). (2) The incidence and cumulative incidence rate of digestive system malignancy in participants. At the end-up of follow-up, 2 008 cases developed digestive system malignancy in the 93 928 participants, including 717 cases of colorectal cancer, 456 cases of liver cancer, 396 cases of gastric cancer, 195 cases of esophageal cancer, 144 cases of pancreatic cancer, 65 cases of gallbladder cancer or extrahepatic cholangiocarcinoma, 35 cases of small bowel cancer. The cumulative incidence rates of digestive system malignancy were 2.19%, 2.42%, 2.86%, 3.59% in participants of the DM(-)CRP(-) group, DM(-)CRP(+) group, DM(+)CRP(-) group, DM(+)CRP(+) group, respectively, showing a significant difference among the 4 groups ( χ2=31.72, P<0.05). (3) Influence of DM and Hs-CRP level on the risk of digestive system malignancy. After adjusting for the confounding factors of the participants, results of multivariate analysis showed that DM and Hs-CRP >3 mg/L were independent influencing factors for the incidence of digestive system malignancy ( hazard ratio=1.32, 1.19, 95% confidence interval as 1.13-1.56, 1.06-1.33, P<0.05). Futher analysis showed that there was a significant difference in interaction between DM and Hs-CRP >3 mg/L ( P<0.05). (4) The combined influence of DM and Hs-CRP level on the risk of digestive system malign-ancy. After adjusting for confounding factors, results of multivariate analysis showed that using the DM(-)CRP(-) group as the control group, the risk of incidence of digestive system malignancy increased in the DM(-)CRP(+) group, DM(+)CRP(-) group, and DM(+)CRP(+) group, respectively ( hazard ratio=1.14, 1.23, 1.79, 95% confidence interval as 1.01-1.29, 1.02-1.48, 1.38-2.31, P<0.05). In the site-specific analysis of digestive system malignancy, using the DM(-)CRP(-) group as the control group, the risk of incidence of liver cancer increased in the DM(-)CRP(+) group ( hazard ratio=1.37, 95% confidence interval as 1.07-1.75, P<0.05), the risk of incidence of liver cancer and pancrea-tic cancer increased in the DM(+)CRP(-) group ( hazard ratio=1.60, 1.74, 95% confidence interval as 1.16-2.21, 1.00-3.02, P<0.05), the risk of incidence of small bowel cancer, pancreatic cancer and colorectal cancer increased in the DM(+)CRP(+) group ( hazard ratio=5.05, 2.31, 2.23, 95% confidence interval as 1.57-16.21, 1.00-5.31, 1.54-3.24, P<0.05). (5) Sensitivity analysis. After adjusting for confounding factors of excluding 3 types of participants (103 cases of digestive system malignancy within 1 year of follow-up, 2 370 cases of taking glucose-lowering drugs, and 915 cases of taking lipid-lowering drugs), results of multivariate analysis showed that using the DM(-)CRP(-) group as the control group, the risk of incidence of digestive system malignancy increased in the DM(+)CRP(-) group, and DM(+)CRP(+) group, respectively ( hazard ratioexcluding cases of digestive system malignancy within 1 year of follow-up=1.26, 1.66, 95% confidence interval as 1.04-1.52, 1.26-2.18, P<0.05; hazard ratioexcluding cases taking glucose-lowering drugs=1.23, 1.75, 95% confidence interval as 1.02-1.49, 1.31-2.33, P<0.05; hazard ratioexcluding cases taking lipid-lowering drugs=1.24, 1.80, 95% confidence interval as 1.03-1.49, 1.39-2.34, P<0.05). Conclusions:DM and Hs-CRP >3 mg/L are independent influencing factors for the incidence of digestive system malignancy. There is an interation and synergistic effect between DM and Hs-CRP to promote the incidence of digestive system malignancy.

Objective:To investigate the role of reactive astrocytes expressing aromatase(ARO)in the penumbra during ischemic stroke.Methods:A mouse model of middle cerebral artery occlusion(MCAO/R)was prepared using the suture method.Western blot and immunofluorescence staining were used to observe the expression of ARO in the penumbra after ischemia reperfusion.We generated a glial fibrillary acidic protein promoter-driven aromatase knock-out(GFAP-ARO-KO)mouse model in vivo.Neurologic impairment scores,rotarod test,grip strength test and adhesive removal test on the plantar surface of the paw were performed after MCAO/R modeling.Results:In wild type mice,the expression of ARO was significantly increased in astrocytes in the penumbra after MCAO/R(P<0.01).Compared to the control group,the expression of ARO in the GFAP-ARO-KO group was significantly reduced in astrocytes in the penumbra after MCAO/R.And loss of ARO increased cerebral infarction volume and aggravated sensorimotor impair-ment.Conclusion:After ischemic stroke,reactive astrocytes in the penumbra highly express ARO and play a protective role in post-ischemia reperfusion injury.

Objective:To investigate the association between single nucleotide polymorphism (SNP) of the protein phosphatase 1 regulatory subunit 1B( PPP1R1B) gene and schizophrenia in the Han population of northern Henan province. Methods:Utilizing Psychiatric Genomics Consortium 3 (PGC3) data, the SNPs of PPP1R1B gene which were significantly associated with schizophrenia were screened.Subsequently, totally 1 721 schizophrenia patients and 6 726 healthy controls from the Han population in northern Henan province were recruited for further analysis. The SNP rs907094, located within the PPP1R1B gene was validated, and the clinical symptoms of 386 schizophrenia patients were evaluated using the positive and negative syndrome scale (PANSS). Additionally, expression quantitative trait loci (eQTL) association analysis was conducted to explore the relationship between the rs907094 polymorphism and PPP1R1B gene expression.The PLINK v1.9, Genetic Power Calculater, SPSS 20.0 softwares were used for data analysis. Results:Significant differences in genotype AA, AG, GG(schizophrenia group: AA, 489(28.4%); AG, 848(49.3%); GG, 384(22.3%); control group: AA, 1 450(21.6%); AG, 3 386(50.3%); GG, 1 890(28.1%), χ2=45.418, P<0.05) and allele frequency(schizophrenia group: A, 1 826(53.1%); G, 1 616(46.9%); control group: A, 6 286(46.7%); G, 7 166(53.3%), χ2=43.877, P<0.05) were observed for SNP rs907094 between the schizophrenia group and control group. Individuals carrying allele A were identified to have a higher risk of developing schizophrenia compared to those carrying allele G ( OR=1.288, 95% CI=1.195-1.388). Furthermore, the genotype PPP1R1B gene was found to be associated with the clinical features of schizophrenia. A statistically significant difference was observed in the excitement/hostility factor between AA and GG patients with rs907094 (13.62±5.65, 15.54±4.66)( P<0.05). Additionally, significant differences were noted in the cognitive factor scores between AA and GA genotypes (17.76±5.58, 19.43±5.73)( P<0.05). Conclusions:In the Han population from northern Henan province, the rs907094 polymorphism of the PPP1R1B gene is associated with schizophrenia.And the specific locus may be implicated in arousal/hostility symptoms and cognitive dysfunction.

Objective To quantitatively evaluate the structure and content of the long-term care insurance(LTCI)policy in China's deeply aging areas.Methods Using the Policy Modeling Consistency(PMC)index model indicator design method,a LTCI policy evalua-tion index system was constructed,consisting of nine primary indicators and 34 secondary indicators.A total of 123 provincial-level LTCI policies issued in deeply aging regions of China between June 1,2014,and October 1,2024 were analyzed.High-frequency word extraction was performed using ROSTCM 6.0,and a social network diagram of LTCI policies was created.The policy structure and content were quantitatively evaluated and ana-lyzed based on the established policy evaluation index system.Results The main content of LTCI policies in deeply aging areas of China covered services,institutions and assessment.The highest policy score was 7.28,and the lowest was 2.20,with an average score of 5.00.There were 25 perfect policies,63 excellent policies,28 good policies and seven qualified policies.In the dimension of policy content,the indexes of five primary indicators of policy evaluation,policy target groups,policy nature,policy perspective and policy tools were 0.60 or more;while the indexes of four primary indicators of policy content,incentives and constraints,policy timeliness,and policy level were 0.50 or less.Conclusion LTCI policies issued in China's deeply aging areas provide comprehensive coverage in aspects such as poli-cy evaluation,policy target groups and policy nature,and need to be improved in policy tool selection and the construction of incentive and constraint mechanisms.