Objective To analyze the epidemiologic burden of colorectal cancer in Xishan District, Kunming City, Yunnan Province from 2018 to 2020. Methods Indicators of epidemiologic burden were calculated, including incidence rate, mortality rate, age-specific incidence/mortality rates, potential years of life lost (PYLL), and disability-adjusted life years (DALY) based on the National Disease Control and Prevention Center’s "Cancer Information Registration and Reporting System" and "Cause of Death Registration System". Results From 2018 to 2020, the ASR (China) for the incidence of colorectal cancer in Xishan District, Kunming City increased from 25.27/10⁵ to 26.29/10⁵, while the ASR (China) for mortality decreased from 17.11/10⁵ to 16.03/10⁵. The PYLL in 2018–2020 were 1399.63, 1376.78, and 1571.56 person-years, respectively, whereas the DALY in 2018–2020 were 1927.74, 1875.05, and 1945.17 person-years, respectively. The morbidity, mortality, PYLL, and DALY were generally higher in males than in females over 45 years of age. Conclusion Given the parallel trends of persistent incidence risk and steadily declining mortality for colorectal cancer in Xishan District, Kunming City, a three-tier prevention and control system centered on "lifestyle intervention–regular screening–positive case tracking" should be established, with a focus on covering high-risk populations, particularly males over 45 years of age.

ObjectiveTo characterize the changes of metabolites of Blumea balsamifera in the process of sweating by non-targeted metabolomics， and to investigate the influence of sweating processing on the constituents of B. balsamifera. MethodsUltra performance liquid chromatography-quadrupole/electrostatic field orbitrap high resolution mass spectrometry（UPLC-Q-Exactive Orbitrap-MS） metabolomics was used to identify the metabolites in no sweating group（F1）， sweating 2 d group（F2） and sweating 4 d group（F3）， the differences of metabolites between the groups were compared by principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， and differential metabolites were screened according to the variable importance in the projection（VIP） value>1 and P<0.05， and the pathway enrichment of the differential metabolites was analyzed by Kyoto Encyclopedia of Genes and Genomes（KEGG）. ResultsThe results of PCA and OPLS-DA showed a clear distinction between the three groups of samples， indicating significant differences in the compositions of the three groups of samples. A total of 433 differential metabolites were screened between the F1 and F2， with 154 up-regulated and 279 down-regulated， the significant up-regulated metabolites were tangeritin， 5-O-demethylnobiletin and so on， while the metabolites with significant down-regulation included alternariol， fortunellin， etc. A total of 379 differential metabolites were screened between the F2 and F3， with 150 up-regulated and 229 down-regulated， the significant up-regulated metabolites were isoimperatorin， helianyl octanoate and so on， and the significant down-regulated metabolites were hovenoside I， goyasaponin Ⅲ， etc. KEGG pathway enrichment analysis showed that tyrosine metabolism， isoquinoline alkaloid biosynthesis， phenylalanine， tyrosine and tryptophan biosynthesis， tryptophan metabolism， valine， leucine and isoleucine biosynthesis， pantothenate and coenzyme A biosynthesis may be the key pathways affecting metabolite differences of B. balsamifera after sweating treatment. ConclusionSweating can reduce the content of endophytic mycotoxins in B. balsamifera and has a great impact on the synthesis and metabolic pathways of total flavonoids and auxin. This study can provide a reference for the process research on the sweating conditions of B. balsamifera.

The abnormal accumulation of neutrophil extracellular traps （NETs） can promote the initiation and progression of pancreatic cancer， which is considered a potential therapeutic target for this disease. The Miraculous Pivot·Inquiry About Statement （《灵枢·口问》） have recorded the concept of "defensive qi stagnation". Based on the recognition that the function of defensive qi is similar to the immune function of neutrophils， and combining traditional Chinese medicine theory with clinical practice， it is proposed that the abnormal accumulation of NETs may be a pathological product of "defensive qi stagnation"， with the spleen being the critical site of pathology. Further exploring the application strategy of cleaning spleen and restoring defensive qi method in pancreatic cancer treatment， it is proposed to employ three approaches such as dredging method to eliminate spleen stagnation and inhibit pancreatic cancer proliferation， cleaning method to remove spleen dampness and suppress the inflammatory micro-environment， and tonifying method to strengthen Weiqi and to improve the immune microenvironment， which aims to provide new insights for the clinical treatment of pancreatic cancer with traditional Chinese medicine.

This article combined the pathogenic characteristics of "latent wind" with the theory of collateral diseases to clarify the pathological features of tumor blood vessels， including their active proliferation， high permeabi-lity， and promotion of metastasis. The theory framework of "latent wind in collaterals" as the tumor mechanism was proposed， which suggests that at the site of tumor lesions， the collaterals inherit the nature of latent wind to grow excessively， adopt an open and discharge nature to leak essence， and tumor toxins， characterized by their rapid movement and frequent changes， spread and metastasize， driving the progression of malignant tumors. Focusing on the fundamental pathogenesis of "latent wind in collaterals"， specific clinical treatment principles and methods centered on treating wind are proposed， including regulating qi and dispelling wind， clearing heat and extinguishing wind， unblocking collaterals and expelling wind， and reinforcing healthy qi to calm wind， so as to provide references for enhancing the precision of traditional Chinese medicine in treating malignant tumors.

ObjectiveTomatoes are one of the highest-yielding and most widely cultivated economic crops globally, playing a crucial role in agricultural production and providing significant economic benefits to farmers and related industries. However, early blight in tomatoes is known for its rapid infection, widespread transmission, and severe destructiveness, which significantly impacts both the yield and quality of tomatoes, leading to substantial economic losses for farmers. Therefore, accurately identifying early symptoms of tomato early blight is essential for the scientific prevention and control of this disease. Additionally, visualizing affected areas can provide precise guidance for farmers, effectively reducing economic losses. This study combines hyperspectral imaging technology with machine learning algorithms to develop a model for the early identification of symptoms of tomato early blight, facilitating early detection of the disease and visual localization of affected areas. MethodsTo address noise interference present in hyperspectral images, robust principal component analysis (RPCA) is employed for effective denoising, enhancing the accuracy of subsequent analyses. To avoid insufficient information representation caused by the subjective selection of regions of interest, the Otsu’s thresholding method is utilized to extract tomato leaves effectively from the background, with the average spectrum of the entire leaf taken as the primary object of study. Furthermore, a comprehensive spectral preprocessing workflow is established by integrating multivariate scatter correction (MSC) and standardization methods, ensuring the reliability and effectiveness of the data. Based on the processed spectral data, a discriminant model utilizing a linear kernel function support vector machine (SVM) is constructed, focusing on characteristic wavelengths to improve the model's discriminative capability. ResultsCompared to full-spectrum modeling, this approach results in an 8.33% increase in accuracy on the test set. After optimizing the parameters of the SVM model, when C=1.64, the accuracies of the training set and test set reach 91.67% and 94.44%, respectively, demonstrating a 1.19% increase in training set accuracy compared to the unoptimized model, while maintaining the same accuracy on the test set, effectively alleviating issues of underfitting. ConclusionThis study successfully establishes an early discriminant model for tomato early blight using hyperspectral imaging and achieves visualization of early symptoms. Experimental results indicate that the SVM discriminant model based on characteristic wavelengths and a linear kernel function can effectively identify early symptoms of tomato early blight. Visualization of these symptoms in terms of disease probability allows for a more intuitive detection of early diseases and timely implementation of corresponding control measures. This visual analysis not only enhances the efficiency of disease identification but also provides farmers with more straightforward and practical information, aiding them in formulating more reasonable prevention strategies. These research findings provide valuable references for the early identification and visualization of plant diseases, holding significant practical implications for monitoring, identifying, and scientifically preventing crop diseases. Future research could further explore how to apply this model to disease detection in other crops and how to integrate IoT technology to create intelligent disease monitoring systems, enhancing the scientific and efficient management of crops.

[Objective] To evaluate the efficacy and practicality of autologous platelet-rich plasma (aPRP) in patients undergoing total aortic arch replacement for aortic dissection. [Methods] A retrospective analysis was performed on 483 patients diagnosed with type A aortic dissection who underwent total aortic arch replacement between January 2016 and November 2023. Patients were categorized into two groups based on whether they received aPRP. Baseline characteristics, intraoperative blood product usage and postoperative outcomes were compared between the two groups. [Results] The aPRP group exhibited reduced usage of allogeneic platelets (1.55±1.04 vs 1.60±1.27)U, allogeneic plasma (480.89±432.49 vs 746.50±508.81)mL, allogeneic RBC (red blood cell)(5.95±1.91 vs 6.17±3.52)U, bivalirudin (2.66±1.51 vs 3.31±1.59)U and coagulation factor Ⅶ (0.67±1.03 vs 1.22±1.43)mg compared to the non-aPRP group (P<0.05). The incidence of postoperative hypoxemia was lower in the aPRP group (43.98% vs 48.41%), and the duration of mechanical ventilation was significantly shorter[median 50.91 (interquartile range 18.71, 113.71) vs 83.40 (37.73, 151.98) hours]. There were no significant differences between the two groups in terms of postoperative mortality, continuous bedside hemofiltration, cerebral infarction, cerebral hemorrhage, paraplegia or re-exploration for hemostasis(P>0.05). [Conclusion] The application of aPRP in total aortic arch replacement effectively diminishes intraoperative blood product usage and the incidence of lung injury-related complications. However, it does not demonstrate significant benefits in terms of mortality, cerebral infarction and other complications.

The Chinese Pharmacopoeia is the legal technical standard which should be followed during the research, production, use, and administration of drugs. At present, the new edition of the Chinese Pharmacopoeia is planned to be promulgated and implemented. This article summarizes and analyzes the main characteristics and the content of updates and amendments of the Chinese Pharmacopoeia 2025 Edition(Volume Ⅰ), to provide a reference for the correct understanding and accurate implementation the new edition of the pharmacopoeia.

ObjectiveTo construct an outcome set for clinical evaluation of traditional Chinese medicine （TCM） for chronic pulmonary heart disease， and to provide consensus outcomes for the evaluation of the clinical effectiveness of TCM for chronic pulmonary heart disease. MethodsWe searched randomised controlled trials of TCM for chronic pulmonary heart disease on China National Knowledge Infrastructure （CNKI）， Wanfang Data Knowledge Service Platform （WF）， VIP Chinese Science Journals Database （VIP）， Chinese Biomedical Literature Service Database （SinoMed）， PubMed， Cochrane Library， and Embase. We also searched Chinese Clinical Trial Registry Platform and the U.S. Clinical Trial Registry database to obtain the outcome indicators reported in the clinical research protocols of TCM for chronic pulmonary heart disease. The outcome indicators were also collected through semi-structured interviews of clinicians and patients. Then integrated the outcome indicators collected by the above methods to construct the indicator pool. Through two rounds of Delphi surveys and a consensus conference， the core outcome set for clinical evaluation of TCM for chronic pulmonary heart disease was determined. ResultsAfter screening， there were 1313 literature meeting the criteria， and 595 outcome indicators were extracted， then combined with the outcomes from semi-structured interviews which clinicians and patients concerned， finally an indicator item pool containing 369 outcome indicators were formed. After the initial screening of indicators in the pool by the steering committee， 58 indicators were established into the initial list of indicator entries. In the first round of Delphi survey， the expert coordination coefficient for the results was 0.401， and the Cronbach coefficient was 0.989. A total of 35 indicators that did not meet the criteria ［＜70% of the participants rated the outcome as 7~9 （critical） and the mean of the expert ratings ＜7］ were deleted， and 23 were retained， with 7 new indicators added that were open to supplementation by the experts， resulting in a total of 30 indicators that were included in the second round of Delphi survey. In the second round of Delphi survey， the expert coordination coefficient was 0.303， and the Cronbach coefficient was 0.974， with a total of 7 indicators that did not meet the criteria being deleted， and 21 indicators being retained for the consensus conference. After the consensus meeting， the core outcome set for clinical evaluation of chronic pulmonary heart disease in two major categories， acute exacerbation stage and stable stage， was finally determined， in which there were four indicators in acute exacerbation stage： N-terminal B-type natriuretic peptide precursor （NT-proBNP）， blood qi analysis， all-cause mortality rate， and complication rate； and there were eight indicators in the stable stage： pulmonary function index， six-minute walk test distance， New York cardiac function classification， all-cause mortality rate， re-hospitalisation rate， Chronic Obstructive Pulmonary Disease Assessment Test （CAT） score， Short Form 36 Health Survey （SF-36）， and TCM syndrome score. ConclusionThe core outcome sets of TCM clinical evaluation in the acute exacerbation stage and stable stage are constructed， which is helpful to improve the practicability， comparability and transparency of TCM clinical research results in pulmonary heart disease.

OBJECTIVE To explore the effects of isorhamnetin on the development of gastric cancer through up-regulation of solute carrier family 25 member 25 antisense RNA 1（SLC25A25-AS1）. METHODS Using BALB/c nude mice as the subjects， the xenograft tumor model was established by subcutaneously inoculating human gastric cancer MKN28 cells into the axillary region. The effects of low and high doses of isorhamnetin （20 and 40 mg/kg） on the tumor volume and mass in nude mice were investigated. MKN28 cells were selected and divided into control group， isorhamnetin group （70 μmol/L， similarly hereinafter）， isorhamnetin+knocking down negative control group， isorhamnetin+knocking down SLC25A25-AS1 group， isorhamnetin+ overexpression negative control group and isorhamnetin+overexpressing SLC25A25-AS1 group. Effects of knocking down/ overexpressing SLC25A25-AS1 on viability， apoptosis， migration and invasion ability of isorhamnetin-treated cells were detected. After verifying the targeting relationships between microRNA-212-3p （miR-212-3p） and SLC25A25-AS1， as well as phosphatase and tensin homologue deleted on chromosome 10 （PTEN）， the effects of knocking down/overexpressing SLC25A25-AS1 on the expression of miR-212-3p， PTEN mRNA， and PTEN protein in isorhamnetin-treated cells were investigated. RESULTS Compared with the model control group， tumor volume and mass of nude mice in the isorhamnetin low-dose and high-dose groups were reduced significantly， and the isorhamnetin high-dose group was significantly lower than the isorhamnetin low-dose group （P＜0.05）. miR-212-3p had targeting relationships with SLC25A25-AS1 and PTEN. Compared with the control group， the cell viability （intervened for 24， 48 h）， migration number， invasion number and miR-212-3p expression of cells in the isorhamnetin group， isorhamnetin+knocking down negative control group and isorhamnetin+overexpressing negative control group were significantly reduced or decreased or down-regulated， while the apoptosis rate， mRNA and protein expressions of PTEN were significantly increased or up-regulated （P＜0.05）. Compared with isorhamnetin group and isorhamnetin+knocking down negative control group， the cell viability， migration number， invasion number and miR-212-3p expression of cells in the isorhamnetin+knocking down SLC25A25-AS1 group were significantly increased or up- regulated， while the apoptosis rate， mRNA and protein expressions of PTEN were significantly reduced or down-regulated （P＜ 0.05）. Compared with isorhamnetin group and isorhamnetin+overexpressing negative control group， the cell viability， migration number， invasion number and miR-212-3p expression of cells in isorhamnetin+overexpressing SLC25A25-AS1 group were significantly reduced or decreased or down-regulated， while the apoptosis rate， PTEN mRNA and protein expressions were significantly increased or up-regulated （P＜0.05）. CONCLUSIONS Isorhamnetin may inhibit the development of gastric cancer by up-regulating the expression of SLC25A25-AS1， down-regulating miR-212-3p， and up-regulating the expression of PTEN， which is a downstream target of miR-212-3p.

Background The prevalence of hyperuricemia (HUA) among Chinese residents has been increasing annually, with occupational populations facing a higher risk of HUA due to shift work or obesity. Objective To investigate the impact of shift work and obesity on HUA among coal miners, and to provide scientific data for the prevention of HUA in this occupational group. Methods A cross-sectional study was conducted with 25619 workers from a coal mining group in 2023 as the study population, using a questionnaire survey and occupational health check-ups. Workers who were retired or on medical leave, as well as those who provided incomplete responses to the questionnaire or did not complete anthropometric measurements or blood tests, were excluded. A total of 23173 participants were included in the study. An unconditional logistic regression model was used to analyze the association between HUA and selected factors such as shift work status, years of shift work, daily shift work hours, body mass index (BMI), waist-to-height ratio (WHtR), and visceral adiposity index (VAI), as well as the interaction between obesity and shift work on HUA. Restricted cubic spline functions were used to analyze the dose-response relationship between years of shift work, daily shift work hours, and HUA. Results The average age of the included workers was (42.38 ± 9.82) years. A total of 6735 workers reported positive HUA, with a positive rate of 29.1%, and the prevalence was higher in men compared to women (31.8% vs. 13.9%). After adjusting for confounding factors, the restricted cubic spline model revealed a nonlinear dose-response relationship between years of shift work, daily shift work duration, and HUA: ① When the years of shift work exceeded 3.25 years, the risk of HUA in workers gradually increased with longer work duration. At 20 years of shift work, the risk increase showed a "saturation effect," meaning that the risk of HUA no longer increased with additional years of shift work. ② When daily shift work duration was below 10 h, the risk of HUA increased with the length of shift work, but after exceeding 10 h, the risk stabilized. After adjusting for confounding factors, the logistic regression model showed that, compared to non-shift workers, shift workers, those with 10-20 years and over 20 years of shift work experience, as well as those working less than 8 h and more than 8 h per day, had a higher risk of HUA, with odds ratios (OR) of 1.14 (95%CI: 1.06, 1.22), 2.42 (95%CI: 2.20, 2.67), 2.23 (95%CI: 2.00, 2.48), 1.41 (95%CI: 1.29, 1.54), and 1.90 (95%CI: 1.75, 2.06), respectively. Additionally, compared to individuals with normal obesity indices, those with overweight and obesity based on BMI, high and very high VAI and excessive WHtR had a higher risk of HUA, with ORs of 2.01 (95%CI: 1.85, 2.17), 3.51 (95%CI: 3.20, 3.84), 1.42 (95%CI: 1.32, 1.54), 2.10 (95%CI: 1.91, 2.30), and 1.82 (95%CI: 1.69, 1.97), respectively. The interaction analysis showed no interaction between shift work and obesity index (both P_s < 0.001). Conclusion Shift work, longer shift work years, and longer daily shift work hours increase the risk of HUA among coal miners. Additionally, the role of obesity in the development of HUA cannot be ignored.