Objective To analyze the incidence and mortality of cancer in Ya'an City in 2022 and its trends from 2013 to 2022. Methods The crude and age-standardized cancer incidence and mortality rates (based on the Chinese standard population) were calculated by gender and age group from the Ya'an City registry data for 2022, and their trends from 2013 to 2022 were assessed using Joinpoint regression analysis. Results In 2022, the crude incidence rate of cancer in Ya'an City was 317.19/10⁵, and the age-standardized incidence rate was 178.45/10⁵. The crude mortality rate of cancer in Ya'an City was 185.10/10⁵, and the age-standardized mortality rate was 85.22/10⁵. The top three cancer types with the highest incidence were lung cancer, colorectal cancer, and female breast cancer, and those with the highest mortality were lung cancer, colorectal cancer, and liver cancer. From 2013 to 2022, the overall age-standardized incidence rate of cancer was relatively stable but showed a downward trend in males (P<0.05) and an upward trend in females (P<0.05). The overall age-standardized mortality rate exhibited a downward trend (P<0.05). The age-standardized incidence rate of thyroid cancer, prostate cancer, and lung cancer showed an upward trend (P<0.05), whereas those of liver cancer, gastric cancer, and esophageal cancer showed a downward trend (P<0.05). The age-standardized mortality rate of gastric cancer, female breast cancer, liver cancer, and esophageal cancer showed a downward trend (P<0.05). Conclusion The burden of cancer remains severe in Ya'an City. Targeted interventions should be implemented for lung cancer, colorectal cancer, female breast cancer, liver cancer, thyroid cancer, prostate cancer, and other common cancers to effectively control the cancer burden.

Objective To investigate the association between physical activity levels and blood lipids among college freshmen, and to provide scientific evidence for the health management of college freshmen. Methods An electronic questionnaire survey on physical activity was conducted on freshmen of a university, and fasting blood biochemical indicators were detected. The International Physical Activity Questionnaire (IPAQ) short form was used to evaluate the physical activity levels of the participants. Dyslipidemia was defined as an abnormality in any one of the following serum lipid parameters: total cholesterol, triglycerides, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), or non-high-density lipoprotein cholesterol. Binary logistic regression and stratified analyses were employed to explore the relationship between physical activity and blood lipids. Results A total of 3 401 participants were included, with an average age of 18.45 ± 0.92 years, and 60.5% were female. The prevalence of dyslipidemia was 17.7%, with a higher rate among males (22.1%) than females (14.8%). After adjusting for confounding factors related to blood lipids, high-intensity physical activity was negatively associated with the risk of elevated LDL-C among males (OR = 0.36, 95% CI: 0.13–0.99, P = 0.049). Conclusion Among freshmen at a medical college in Hubei Province, high-intensity physical activity is negatively associated with the risk of elevated LDL-C in males, but this association needs to be further confirmed by larger prospective cohort studies.

Objective To predict the lymph node metastasis status of patients with invasive pulmonary adenocarcinoma by constructing machine learning models based on primary tumor radiomics, peritumoral radiomics, and habitat radiomics, and to evaluate the predictive performance and generalization ability of different imaging features. Methods A retrospective analysis was performed on the clinical data of 1 263 patients with invasive pulmonary adenocarcinoma who underwent surgery at the Department of Thoracic Surgery, Jiangsu Province Hospital, from 2016 to 2019. Habitat regions were delineated by applying K-means clustering (average cluster number of 2) to the grayscale values of CT images. The peritumoral region was defined as a uniformly expanded area of 3 mm around the primary tumor. The primary tumor region was automatically segmented using V-net combined with manual correction and annotation. Subsequently, radiomics features were extracted based on these regions, and stacked machine learning models were constructed. Model performance was evaluated on the training, testing, and internal validation sets using the area under the receiver operating characteristic curve (AUC), F1 score, recall, and precision. Results After excluding patients who did not meet the screening criteria, a total of 651 patients were included. The training set consisted of 468 patients (181 males, 287 females) with an average age of (58.39±11.23) years, ranging from 29 to 78 years, the testing set included 140 patients (56 males, 84 females) with an average age of (58.81±10.70) years, ranging from 34 to 82 years, and the internal validation set comprised 43 patients (14 males, 29 females) with an average age of (60.16±10.68) years, ranging from 29 to 78 years. Although the habitat radiomics model did not show the optimal performance in the training set, it exhibited superior performance in the internal validation set, with an AUC of 0.952 [95%CI (0.87, 1.00)], an F1 score of 84.62%, and a precision-recall AUC of 0.892, outperforming the models based on the primary tumor and peritumoral regions. Conclusion The model constructed based on habitat radiomics demonstrated superior performance in the internal validation set, suggesting its potential for better generalization ability and clinical application in predicting lymph node metastasis status in pulmonary adenocarcinoma.

Objective:To investigate whether beta-sitosterol(BS)can affect the polarization of alveolar macrophages and the nuclear factor kappa B(NF-κB)pathway in a rat model of acute lung injury(ALI)induced by lipopolysaccharides(LPS).Methods:Thirty spe-cific pathogen-free Sprague-Dawley rats were randomly divided into normal saline group(NS group),ALI model group(LPS group),low-dose BS intervention group(BS-L group),high-dose BS intervention group(BS-H group),and dexamethasone group(DX group),with six rats in each group.After successful modeling,the rats were sacrificed for the following examinations:the pathological changes and wet-to-dry(W/D)weight ratio of lung tissue;the levels of tumor necrosis factor α(TNF-α)and interleukin 1β(IL-1β)in bron-choalveolar lavage fluid(BALF);the relative mRNA expression levels of NF-κB p65,IL-1β,and TNF-α in lung tissue;the protein expression levels of NF-κB p65 and TNF-α and the percentage of CD80-positive M1 alveolar macrophages in lung tissue.Results:Ab-normal behaviors and cyanosis were observed in all the groups except the NS group,with milder symptoms in the BS groups and DX group than in the LPS group.Compared with the NS group,the LPS group showed significant increases in the lung tissue pathological injury score,the W/D ratio,the relative mRNA expression levels of NF-κB p65,IL-1β,and TNF-α in lung tissue,the protein expres-sion levels of TNF-α and NF-κB p65 in lung tissue,the percentage of CD80-positive M1 alveolar macrophages,and the levels of the in-flammatory factors TNF-α and IL-1β in BALF(all P<0.01).Com-pared with the LPS group,the BS-L group,BS-H group and DX group showed significant decreases in the lung tissue pathological injury score,the W/D ratio,the relative expression levels of NF-κB p65,IL-1β,and TNF-α mRNAs in lung tissue,the protein expression levels of NF-κB p65 and TNF-α in lung tissue,the percentage of CD80-positive M1 alveolar macrophages,and the levels of TNF-α and IL-1β in BALF(all P<0.001).The above indicators were sig-nificantly lower in the BS-H group than in the BS-L group(all P<0.001).Compared with those in the BS-L and BS-H groups,the above indicators in the DX group were significantly decreased(all P<0.01).Conclusion:BS may alleviate the severity of ALI through inhibiting the activation of the NF-κB pathway and suppressing the polarization of alveolar macrophages towards M1-type macro-phages in ALI rats.

ObjectiveTo analyze the factors influencing meropenem-related liver injury （MRLI） and to explore their clinical predictive value. MethodsA retrospective case-control study was conducted， and the Chinese Hospital Pharmacovigilance System （CHPS） was used to establish a retrieval scheme. A total of 1 625 hospitalized cases using meropenem from January 2018 to December 2022 were collected. Patients were divided into case group （n=62） and control group （n=1 563） based on the presence or absence of liver injury. Clinical data and laboratory indicators from both groups were collected and analyzed. The t-test was used for comparison of normally distributed continuous data between the two groups， while the Mann-Whitney U test was used for comparison of continuous data not conforming to a normal distribution. The chi-square test was used for comparison of categorical data between the two groups. A multivariate Logistic regression analysis was performed to identify the influencing factors for MRLI. A Logistic regression equation was established， and the predictive value of these factors was assessed using the receiver operating characteristic （ROC） curve. ResultsThe results of univariate analysis indicated that the rates of male patients， hypoproteinemia， shock， intensive care unit （ICU） admissions， sepsis， and liver， gallbladder， and cardiovascular diseases， the levels of alanine aminotransferase （ALT）， alkaline phosphatase （ALP）， gamma-glutamyl transpeptidase （GGT）， aspartate aminotransferase （AST）， creatinine （CREA）， and procalcitonin （PCT）， and the number of hospitalization days were significantly higher in the case group than in the control group （P<0.05）， and that the platelet levels in the case group were significantly lower than those in the control group （P<0.05）. The multivariate Logistic regression analysis showed that male sex （odds ratio ［OR］=2.080， 95% confidence interval ［CI］： 1.050 — 4.123， P=0.036）， admission to the ICU （OR=8.207， 95%CI： 4.094‍ ‍—‍ ‍16.453， P<0.001）， comorbidity with gallbladder disease （OR=8.240， 95%CI： 3.605‍ ‍—‍ ‍18.832， P<0.001）， ALP （OR=1.012， 95%CI： 1.004‍ ‍—‍ ‍1.019， P=0.004）， GGT （OR=1.010， 95%CI： 1.005‍ ‍—‍ ‍1.015， P<0.001）， and PLT （OR=0.997， 95%CI： 0.994‍ ‍—‍ ‍0.999， P=0.020） were the influential factors for MRLI. The areas under the ROC curve of ALP， GGT， and PLT were 0.589， 0.637， and 0.595， respectively， and the AUC of them combined was 0.837. ConclusionMale sex， ICU admission， comorbidity with gallbladder disease， increased ALP， increased GGT， and decreased PLT were influencing factors for MRLI， and a combination of factors has a better predictive value for the occurrence of MRLI.

Objective:To summarize the best evidence for nutrition management of sarcopenia in patients undergoing maintenance hemodialysis (MHD), to guide the development of nutrition management programs.Methods:Using the 6S evidence model, literature on nutrition management of sarcopenia in MHD patients was electronically retrieved from databases and websites including UpToDate, Guidelines International Network, Joanna Briggs Institute Evidence-Based Health Care Center Database, European Society for Clinical Nutrition and Metabolism, UK Kidney Association, PubMed, Web of Science, China Biology Medicine disc, China National Knowledge Infrastructure, and Wanfang Data. The search period was from database establishment to July 30, 2024. After screening and quality assessment of the literature, evidence was extracted and summarized.Results:A total of 19 articles were included, comprising one clinical decision, six guidelines, five systematic reviews, five expert consensus, and two randomized controlled trials. Twenty-six pieces of evidence were summarized from six aspects of nutrition team establishment and counseling, nutritional screening and assessment, nutritional support, nutrient intake, nutritional monitoring, and health education.Conclusions:The evidence summary on nutrition management of sarcopenia in MHD patients provides a basis for implementing nutritional interventions. Evidence transformation and application should be conducted in accordance with patient preferences and the actual clinical context.

Objective Building a TCM health management and clinical research integration platform for knee osteoarthritis,promoting the integration of traditional Chinese medicine with internet and mobile health technology,driving the digitalization of TCM-enabled knee osteoarthritis health management strategies,and providing a convenient digital platform for the efficient conduct of TCM clinical research on knee osteoarthritis.Methods Using a combination of literature review and market research,a preliminary framework for the platform's functions and services was established.Then,17 patients with knee osteoarthritis were interviewed through a convenient sampling method to identify their needs and preferences,and design the platform's functional modules and service flow.In the development and testing phase,a multidisciplinary team consisting of professional development engineers,data scientists,and clinical experts conducted multiple rounds of discussions to ensure the scientificity,feasibility,and convenience of the platform's function and service development.Results The integrated platform of traditional Chinese medicine health management and clinical research for knee osteoarthritis is built.The traditional Chinese medicine health management module includes features of health education,evaluation and exercise training,etc.The scientific research module includes patient self-report outcome data collection and remote quality control,etc.,which can provide the whole process service integrating health management and remote intelligent clinical trial.Conclusion Building an integrated platform of TCM health management and clinical research will provide more convenient and effective health management solutions for patients with knee osteoarthritis.

Objective:To summarize the best evidence for nutrition management of sarcopenia in patients undergoing maintenance hemodialysis (MHD), to guide the development of nutrition management programs.Methods:Using the 6S evidence model, literature on nutrition management of sarcopenia in MHD patients was electronically retrieved from databases and websites including UpToDate, Guidelines International Network, Joanna Briggs Institute Evidence-Based Health Care Center Database, European Society for Clinical Nutrition and Metabolism, UK Kidney Association, PubMed, Web of Science, China Biology Medicine disc, China National Knowledge Infrastructure, and Wanfang Data. The search period was from database establishment to July 30, 2024. After screening and quality assessment of the literature, evidence was extracted and summarized.Results:A total of 19 articles were included, comprising one clinical decision, six guidelines, five systematic reviews, five expert consensus, and two randomized controlled trials. Twenty-six pieces of evidence were summarized from six aspects of nutrition team establishment and counseling, nutritional screening and assessment, nutritional support, nutrient intake, nutritional monitoring, and health education.Conclusions:The evidence summary on nutrition management of sarcopenia in MHD patients provides a basis for implementing nutritional interventions. Evidence transformation and application should be conducted in accordance with patient preferences and the actual clinical context.

Objective:To investigate key genes and cellular communication involved in spinal cord injury (SCI) repair using transcriptome sequencing and single-cell sequencing analysis.Methods:Two transcriptome sequencing datasets related to SCI and one single-cell sequencing dataset were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) in the two transcriptome sequencing datasets were analyzed using the limma package in R, followed by cross-analysis to identify common DEGs. Functional enrichment analysis of DEGs was performed using the DAVID database for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Hub genes in the protein-protein interaction (PPI) network were identified using the cytoHubba plugin in Cytoscape. Single-cell sequencing data were analyzed using the Seurat package in R. Principal Component Analysis (PCA) was applied for dimensionality reduction, and t-distributed Stochastic Neighbor Embedding (t-SNE) was used for visualization. Cellular communication between different cell groups was analyzed using the CellChat package.Results:Differential analysis of transcriptome sequencing data identified 98 common DEGs. GO and KEGG enrichment analysis highlighted biological processes such as wound healing, macrophage activation, and immune response-related cell activation. The PPI network predicted 10 hub genes: ITGAM, TGFB1, CCL2, ICAM1, CD44, FN1, TIMP1, TLR2, ITGB2, and LGALS3. Single-cell sequencing analysis identified six distinct cell populations, including astrocytes, neurons, and fibroblasts. Cellular communication analysis revealed key signaling pathways between cell subpopulations, including SPP1- (ITGAV+ITGB1), SPP1- (ITGA5+ITGB1), TNF-TNFRSF1A transmission pathway, etc.Conclusions:During SCI repair, astrocytes receive signals from fibroblasts, monocytes, and neurons via the SPP1 pathway, while astrocytes and neurons receive signals from monocytes through the TNF pathway. These findings provide critical insights into the molecular mechanisms underlying SCI repair and offer a foundation for future research.

Background: Epimedii Folium, first recorded in the Shennong’s Classic of Materia Medica (Shen Nong Ben Cao Jing), is a traditional Chinese medicine (TCM) known for its effects of “benefiting Qi and strengthening the heart.” Icariside II (ICS II) is one of the main active components of Epimedii Folium, possessing cardiovascular protective and anti-inflammatory properties. However, the potential mechanisms of ICS II on myocardial ischemia (MI) remain unclear. Objective: The aim of the study was to investigate the effects and preliminary molecular mechanisms of ICS II in treating isoproterenolinduced MI in rats. Methods: A rat model of MI was established by subcutaneous injection of isoproterenol. Electrocardiography, echocardiography, myocardial enzymes analysis, heart weight index, triphenyltetrazolium chloride staining, histopathology, TUNEL staining, RT-qPCR, and Western blot were employed to evaluate the effects and preliminary molecular mechanisms of ICS II on MI rats. Results: Pharmacodynamic studies suggested that ICS II inhibited ST-segment elevation in electrocardiograms, improved cardiac function, reduced heart weight index and myocardial enzyme levels, decreased myocardial infarct size, alleviated cardiac histological damage, and inhibited apoptosis, thereby exerting cardioprotective effects in MI rats. Further studies revealed that ICS II may partially inhibit the expression of NLRP3/Caspase-1 axis-related targets at both protein and mRNA levels. Conclusions: Our findings indicate that ICS II exerts anti-MI effects, and its preliminary molecular mechanisms may be related to inhibiting the activation of the NLRP3/Caspase-1 axis to alleviate inflammatory responses.