Objective:To establish and evaluated a logistic regression model for predicting the acute biliary pancreatitis (ABP) based on liver-injury related indexes.Methods:Clinical data of 210 patients diagnosed with acute pancreatitis (AP) at the Affiliated Hospital of Jiangnan University from October 2020 to December 2022 were retrospectively analyzed, including 113 males and 97 females, with a median age of 52 years (range, 43 to 58). Among these, 88 were diagnosed with ABP and 122 with acute non-biliary pancreatitis (ANBP). Additionally, a test cohort was created using data from 101 AP patients diagnosed between January and December 2023, including 60 males and 41 females, with a median age of 53 years (range, 43 to 63). Based on the original dataset, univariate and multivariate logistic regression analyses were conducted to identify the factors influencing ABP. A prediction probability formula (Pre) was then established based on the multivariate results. The effectiveness of each indicator in predicting ABP was evaluated using the receiver operating characteristic (ROC) curve. The ROC curve analysis determined the optimal cutoff value of Pre, which was subsequently used to diagnose ABP and ANBP in the test cohort.Results:Multivariate logistic regression analysis showed the factors influencing ABP include direct bilirubin (DBIL), alanine aminotransferase (ALT), aspartate aminotransferase (AST), cholinesterase (CHE), and fibrinogen (FIB). Based on the multivariate analysis results, the prediction probability formula (Pre) for ABP was established as follows: P=1/{1+ exp[-(4.807+ 0.134×DBIL-1.859×AST/ALT-0.0003×CHE-0.387×FIB)]}. ROC curve analysis revealed that the area under the curve (AUC) for Pre in predicting ABP was 0.858, with an optimal cutoff value of 0.56, at which the sensitivity was 69.3% and the specificity was 91.0%. Using the cutoff value of 0.56 for Pre, ABP was diagnosed when Pre≥0.56 and ANBP was diagnosed when Pre<0.56. This criterion was applied to diagnose patients in the test cohort, where the sensitivity and specificity of Pre for diagnosing ABP were 86.1% and 92.3%, respectively.Conclusion:The logistic regression model based on liver injury-related indicators is a valuable tool for clinically assessing the incidence of ABP.

Objective:To investigate the contents of natural radionuclides in agricultural soils in some of Gansu Hexi area to accumulate the relevant basic data.Methods:A stratified sampling method was used to collect 146 soil samples in the area. ORTEC P-type HPGE gamma spectrometry system was used to measure radionuclides. The measurement data were collated and analyzed.Results:The activity concentrations measured were 232Th 18.94-108.39 Bq/kg, 226Ra 14.37-79.20 Bq/kg and 40K 440.03-1 358.18 Bq/kg, in turn with the mean values of (68.22±16.32), (47.90±11.12) and (763.90±133.93) Bq/kg, respectively. The difference in activity concentrations of 232Th, 226Ra and 40K in agricultural soils in different areas was statistically significant( H=50.87, 45.14, 40.28, P<0.05). Conclusions:The study on the activity concentrations of natural radionuclides in agricultural soils provides basic information for the transfer of radionuclides to crops, which needs further investigation, monitoring and analysis.

Objective:To investigate the contents of natural radionuclides in agricultural soils in some of Gansu Hexi area to accumulate the relevant basic data.Methods:A stratified sampling method was used to collect 146 soil samples in the area. ORTEC P-type HPGE gamma spectrometry system was used to measure radionuclides. The measurement data were collated and analyzed.Results:The activity concentrations measured were 232Th 18.94-108.39 Bq/kg, 226Ra 14.37-79.20 Bq/kg and 40K 440.03-1 358.18 Bq/kg, in turn with the mean values of (68.22±16.32), (47.90±11.12) and (763.90±133.93) Bq/kg, respectively. The difference in activity concentrations of 232Th, 226Ra and 40K in agricultural soils in different areas was statistically significant( H=50.87, 45.14, 40.28, P<0.05). Conclusions:The study on the activity concentrations of natural radionuclides in agricultural soils provides basic information for the transfer of radionuclides to crops, which needs further investigation, monitoring and analysis.

Objective:To establish and evaluated a logistic regression model for predicting the acute biliary pancreatitis (ABP) based on liver-injury related indexes.Methods:Clinical data of 210 patients diagnosed with acute pancreatitis (AP) at the Affiliated Hospital of Jiangnan University from October 2020 to December 2022 were retrospectively analyzed, including 113 males and 97 females, with a median age of 52 years (range, 43 to 58). Among these, 88 were diagnosed with ABP and 122 with acute non-biliary pancreatitis (ANBP). Additionally, a test cohort was created using data from 101 AP patients diagnosed between January and December 2023, including 60 males and 41 females, with a median age of 53 years (range, 43 to 63). Based on the original dataset, univariate and multivariate logistic regression analyses were conducted to identify the factors influencing ABP. A prediction probability formula (Pre) was then established based on the multivariate results. The effectiveness of each indicator in predicting ABP was evaluated using the receiver operating characteristic (ROC) curve. The ROC curve analysis determined the optimal cutoff value of Pre, which was subsequently used to diagnose ABP and ANBP in the test cohort.Results:Multivariate logistic regression analysis showed the factors influencing ABP include direct bilirubin (DBIL), alanine aminotransferase (ALT), aspartate aminotransferase (AST), cholinesterase (CHE), and fibrinogen (FIB). Based on the multivariate analysis results, the prediction probability formula (Pre) for ABP was established as follows: P=1/{1+ exp[-(4.807+ 0.134×DBIL-1.859×AST/ALT-0.0003×CHE-0.387×FIB)]}. ROC curve analysis revealed that the area under the curve (AUC) for Pre in predicting ABP was 0.858, with an optimal cutoff value of 0.56, at which the sensitivity was 69.3% and the specificity was 91.0%. Using the cutoff value of 0.56 for Pre, ABP was diagnosed when Pre≥0.56 and ANBP was diagnosed when Pre<0.56. This criterion was applied to diagnose patients in the test cohort, where the sensitivity and specificity of Pre for diagnosing ABP were 86.1% and 92.3%, respectively.Conclusion:The logistic regression model based on liver injury-related indicators is a valuable tool for clinically assessing the incidence of ABP.

In environmental epidemiological research, extensive non-random environmental exposures and complex confounding biases pose significant challenges when attempting causal inference. In recent years, the introduction of causal inference methods into observational studies has provided a broader range of statistical tools for causal inference research in environmental epidemiology. The instrumental variable (IV) approach, as a causal inference technique for effectively controlling unmeasured confounding factors, has gradually found application in the field of environmental epidemiological research. This article reviewed the basic principles of IV and summarized the current research progress and limitations of applying IV for causal inference in environmental epidemiology. IV application in the field of environmental epidemiology is still in the initial stage. Rational use of IV and effective integration with other causal inference methods will become the focus of the development of causal inference in environmental epidemiology. The aim of this paper is to provide a methodological reference and basis for future studies involving causal inference to target population health effects of environmental exposures in China.

Although carbon monoxide (CO)-based treatments have demonstrated the high cancer efficacy by promoting mitochondrial damage and core-region penetrating ability, the efficiency was often compromised by protective autophagy (mitophagy). Herein, cannabidiol (CBD) is integrated into biomimetic carbon monoxide nanocomplexes (HMPOC@M) to address this issue by inducing excessive autophagy. The biomimetic membrane not only prevents premature drugs leakage, but also prolongs blood circulation for tumor enrichment. After entering the acidic tumor microenvironment, carbon monoxide (CO) donors are stimulated by hydrogen oxide (H₂O₂) to disintegrate into CO and Mn²⁺. The comprehensive effect of CO/Mn²⁺ and CBD can induce ROS-mediated cell apoptosis. In addition, HMPOC@M-mediated excessive autophagy can promote cancer cell death by increasing autophagic flux via class III PI3K/BECN1 complex activation and blocking autolysosome degradation via LAMP1 downregulation. Furthermore, in vivo experiments showed that HMPOC@M+ laser strongly inhibited tumor growth and attenuated liver and lung metastases by downregulating VEGF and MMP9 proteins. This strategy may highlight the pro-death role of excessive autophagy in TNBC treatment, providing a novel yet versatile avenue to enhance the efficacy of CO treatments. Importantly, this work also indicated the applicability of CBD for triple-negative breast cancer (TNBC) therapy through excessive autophagy.

Objective To explore the genetic mutation spectrum of patients with hypertrophic cardiomyopathy (HCM) and analysis the correlation of genotype phenotype.Methods Collect peripheral venous blood of the 51 cases unrelated HCM patients(35 male and 16 female) in the Beijing Anzhen Hospital of Capital Medical University from 2013 to 2016.Sequence whole exons of human and analysis seven major mutations of HCM including:MYBPC3、MYH7 、TNNT2、TNNI3 、MYL2 、TPM1 and ACTC1.Then compare the results with clinical characteristics.Results 24 patients(47.1％) had 22 kinds of pathogenicity or possibly pathogenicity mutations.The 90.9％ (20/22) of mutations only occurred one time,except MYH7 gene's 663 amino acid and the TNND gene's 157 amino acid which had twice.The mutations of MYBPC3,MYH7,TNNT2,TNNI3,MYL2,TPM1 and ACTC1 accounted for 45.8％ (11/24),20.8％ (5/24),12.5％ (3/24),8.3％ (2/24),8.3％ (2/24),4.2％ (1/24),and 0 respectively.No amphimutation had been found that causes illness or possibly.Through the comparison of clinical features between Genotype positive(24 cases) and negative(27 cases) patients:the incidence of syncope(19.6％ vs.7.8％,P ＜ 0.05),the largest left ventricular wall thickness[(22.8 ± 2.6) mm vs.(20.0 ± 3.4) mm,P ＜ 0.05],family history of HCM(20.8％ vs.0,P ＜0.05),percentage of apical hypertrophy(25.5％ vs.11.8％,P ＜ 0.05);The ratio of left ventricular outflow tract obstruction in MYH7 group was higher than MYBPC3 group (80.0％ vs.18.2％,P ＜ 0.05).Conclusion MYBPC3 is the most common mutation gene in HCM patients.Phenotype is more severe in geuotype positive patients than in genotype negative patients.Relationship between specific gene mutations and clinical phenotype requires further study.

OBJECTIVETo report on prenatal diagnosis and follow up of two patients with paternal uniparental disomy of chromosome 6 (pUPD6).

METHODSFetal cells were subjected to in situ culturing and G-banded chromosomal analysis. DNA samples of the fetuses and their parents were also analyzed with single nucleotide polymorphism microarray (SNP array).

RESULTSBoth fetuses had a normal male karyotype. SNP array analysis showed both have carried pUPD6.

CONCLUSIONpUPD6 can lead to transient neonatal diabetes mellitus type 1. Homozygous status of recessive mutations, disorder of gene imprinting, and its influence on placental function are the main factors to be considered during prenatal diagnosis and genetic counseling for pUPD6.

Objective To establish new classification criteria for early rheumatoid arthritis (E-RA) based on large samples of early inflammatory arthritis patients and to evaluate the value of this criteria in China.Methods Patients who had arthritic complaints with disease duration less than one year were enrolled.They were divided into RA group and non-RA group according to the clinical diagnosis by experienced rheumatologists.The clinical and laboratory parameters were analyzed and those with high sensitivity or specificity were selected as the new classification criteria.Statistical analysis was carried out by using t test,x2 test and Logistic regression.Results ① A total of 803 patients with early inflammatory arthritis were included in this study.Five hundreds and fourteen patients were diagnosed as early RA and 251 were diagnosed as other rheumatic diseases,and the diagnosis of 38 patients remained unestablished by the end of follow-up.② New E-RA classification criteria were established based on the parameters with high sensitivity and/or specificity.The sensitivity of the new E-RA criteria was 84.4％,which was higher than 1987 ACR criteria (58.0％),while the corresponding specificities were similar,which were 87.4％ and 93.6％ respectively.③ Compared with the complex scoring system of 2010 ACR/EULAR criteria,the E-RA criteria was more simple and practical.The diagnostic sensitivity and specificity of E-RA criteria were higher than those of 2010 ACR/EULAR criteria reported in the literatures.④ New classification criteria based on scoring system using Logistic regression analysis was established.The sensitivity of this criteria was 86.4％,which was higher than 1987 ACR criteria (58.0％).Conclusion The diagnostic value of the E-RA criteria developed in this study for early RA is better than 1987 ACR criteria,and is more simple than 2010 ACR/EULAR criteria.It may be used as a new classification criteria for early RA diagnosis.

Moyamoya disease is a chronic progressive cerebrovascular disease. Its disability rate and lethality rate are higher. The direct and indirect revascularization can increase cerebral blood flow and reduce the occurrence of cerebral ischemia and cerebral hemorrhage. This article reviews the pathophysiological basis of its surgical treatment, surgical timing, indications, surgical treatment methods and efficacy.