Objective To analyze the case data of farmers' foodborne disease surveillance reports in Guizhou Province from 2022 to 2024, and to provide reference for the precise prevention and control of foodborne diseases among farmers in Guizhou Province. Methods Case data of foodborne disease surveillance reports of farmers were systematically collected from 2022 to 2024 in Guizhou Province. Descriptive epidemiological methods were used to analyze the temporal, geographical, and demographic distribution of foodborne diseases among farmers, along with their primary clinical symptoms and pathogen detection results. Results From 2022 to 2024, a total of 22,882 cases of foodborne diseases were reported among farmers in Guizhou Province. The majority of clinical symptoms (97.81%) were related to the digestive system, with summer being the peak season. While females outnumbered males, the gender difference was statistically insignificant (P >0.05). The 36-55 age group accounted for the highest proportion (38.83%), with Zunyi City (34.89%) and Qiandongnan Prefecture (23.21%) reporting the most cases. Fungal products were the most frequently reported suspected food items (26.96%), and home-made preparation was the primary processing method (58.63%). A total of 1 210 fecal samples were collected through active monitoring with an overall detection rate of 13.22%. Norovirus showed the highest detection rate (9.92%, 120/1 210). Statistically significant differences were observed among different seasons, age groups, regions, types and processing methods of suspected food exposure, and pathogen detection rates (P <0.001). Conclusion Foodborne disease prevention and control among farmers in Guizhou Province should focus on the risks of wild mushroom poisoning in summer and homemade foods, and continuously improve farmers' awareness of the dangers of foodborne diseases and food safety.

OBJECTIVE: This study investigates the efficacy and mechanisms of Qingjie Fuzheng Granules (QFG) in inhibiting colitis-associated colorectal cancer (CAC) development via RNA sequencing (RNA-seq) and 16S ribosomal RNA (rRNA) correlation analysis. METHODS: CAC was induced in BALB/c mice using azoxymethane (AOM) and dextran sulfate sodium (DSS), and QFG was administered orally to the treatment group. The effects of QFG on CAC were evaluated using disease index, histology, and serum T-cell ratios. RNA-seq and 16S rRNA analysis assessed the transcriptome and microbiome change. Key pharmacodynamic pathways were identified by integrating these data and confirmed via Western blotting and immunofluorescence. The link between microbiota and CAC-related markers was explored using linear discriminant analysis effect size and Spearman correlation analysis. RESULTS: Long-term treatment with QFG prevented AOM/DSS-induced CAC formation, reduced levels of interleukin (IL)-1β, tumor necrosis factor-alpha (TNF-α), IL-6, and interferon γ (IFN-γ), and increased CD3⁺ and CD4⁺/CD8⁺ T cells ratio, without causing hepatic or renal toxicity. A 16S rRNA analysis revealed that QFG rebalanced the Firmicutes/Bacteroidetes ratio and mitigated AOM/DSS-induced microbiota disturbances. Transcriptomics and Western blotting analysis identified the nucleotide-binding oligomerization domain-containing protein 2 (NOD2)/nuclear factor kappa-B (NF-κB) pathway as key for QFG's treatment against CAC. Furthermore, QFG decreased the abundance of Bacilli, Bacillales, Staphylococcaceae, Staphylococcus, Lactobacillales, Aerococcus, Alloprevotella, and Akkermansia, while increasing Clostridiales, Lachnospiraceae, Lachnospiraceae_NK4A136_group, Ruminococcaceae, and Muribaculaceae, which were highly correlated with CAC-related markers or NOD2/NF-κB pathway. CONCLUSION By mapping the relationships between CAC, immune responses, microbiota, and key pathways, this study clarifies the mechanism of QFG in inhibiting CAC, highlighting its potential for clinical use as preventive therapy.

Sepsis is a systemic inflammatory response triggered by infection and often leads to acute kidney injury(AKI).The pathogenesis of sepsis-associated AKI is complex,involving multiple factors such as renal ischemia,inflammation and oxidative stress.In recent years,pyroptosis,a pro-inflammatory form of programmed cell death,has gradually attracted the attention of researchers.Pyroptosis is activated by inflammasomes(e.g.,the NOD-like receptor pyrin domain-related protein 3 inflammasome,NLRP3 inflammasome),accompanied by Gas-dermin D(GSDMD)-mediated formation of cell membrane pores and release of cellular contents,which leads to exacerbation of local and systemic inflammatory responses.The mechanism of pyroptosis in sepsis-associated AKI has not been fully elucidated,but AKI is directly involved in the process of renal functional impairment by indu-cing the death of renal tubular epithelial cells and exacerbating the local inflammatory response.Blockade of key molecules in the pyroptosis pathway,such as GSDMD or NLRP3 inflammasome,can significantly alleviate renal injury,suggesting that the pyroptosis pathway may be a potential therapeutic target for sepsis-associated AKI.This review summarizes the recent research progress on pyroptosis in sepsis-associated AKI,and discuss its cen-tral role in the pathogenesis,particularly focusing on the inflammasome and GSDMD pathways.Additionally,this paper analyzes the potential of focal death inhibition as a therapeutic strategy and proposes future research direc-tions with the expectation of providing references for the treatment of sepsis-related AKI.

BACKGROUND:Mitophagy is closely associated with the development of idiopathic pulmonary fibrosis,but its mechanism remains unclear.OBJECTIVE:To investigate the biological mechanism of mitophagy in idiopathic pulmonary fibrosis and provide ideas for the risk prediction of idiopathic pulmonary fibrosis and subtype differentiation.METHODS:The mitophagy-related genes in idiopathic pulmonary fibrosis were obtained through GEO and Reactome Pathway databases.The mitophagy-related characteristic genes in idiopathic pulmonary fibrosis were screened based on intergroup differences and random forest model.GO functional enrichment analysis and KEGG,Reactome with WIKI pathway enrichment analyses were performed by g:Profiler database.Mitophagy subtypes in idiopathic pulmonary fibrosis were distinguished by consensus clustering method and immune infiltration analysis was performed.The mitophagy-related key gene was screened.Finally,the predictive value of mitophagy-related key gene for the risk of idiopathic pulmonary fibrosis was quantified by alignment diagram and the correlation between mitophagy-related key gene and clinical characteristics of idiopathic pulmonary fibrosis was explored.RESULTS AND CONCLUSION:(1)A total of 13 genes related to mitophagy in idiopathic pulmonary fibrosis were identified and 5 characteristic genes were screened,containing PINK1,RPS27A,SRC,HIF1A,and CDH6.(2)GO analysis was mainly involved in ubiquitin protein ligase binding,and cellular response to hypoxia.Pathway enrichment analysis was mainly involved in PINK1-PRKN mediated mitophagy,NOTCH signaling pathway,signaling by EGFR and angiogenesis.(3)HIF1A had significant expression differences between subtypes,which might serve as a key gene for the differentiation of mitophagy subtypes of idiopathic pulmonary fibrosis.(4)Immune infiltration analysis suggested that myeloid-derived suppressor cell,neutrophil and type 1 T helper cell might have infiltration differences between subtypes,while HIF1A was positively correlated with multiple immune cells.(5)Alignment diagram suggested that the risk of idiopathic pulmonary fibrosis might be predicted by the expression level of HIF1A.(6)Clinical characteristics analysis indicated patients with high expression of HIF1A might have poorer lung function and more severe fibrosis.It is concluded that PINK1,RPS27A,SRC,HIF1A,and CDH6 may influence the development of idiopathic pulmonary fibrosis through mitophagy,in which HIF1A may serve as a key gene for risk prediction with clinical subtype differentiation and HIF1A is strongly associated with the lung function of patients.

Sepsis is a systemic inflammatory response triggered by infection and often leads to acute kidney injury(AKI).The pathogenesis of sepsis-associated AKI is complex,involving multiple factors such as renal ischemia,inflammation and oxidative stress.In recent years,pyroptosis,a pro-inflammatory form of programmed cell death,has gradually attracted the attention of researchers.Pyroptosis is activated by inflammasomes(e.g.,the NOD-like receptor pyrin domain-related protein 3 inflammasome,NLRP3 inflammasome),accompanied by Gas-dermin D(GSDMD)-mediated formation of cell membrane pores and release of cellular contents,which leads to exacerbation of local and systemic inflammatory responses.The mechanism of pyroptosis in sepsis-associated AKI has not been fully elucidated,but AKI is directly involved in the process of renal functional impairment by indu-cing the death of renal tubular epithelial cells and exacerbating the local inflammatory response.Blockade of key molecules in the pyroptosis pathway,such as GSDMD or NLRP3 inflammasome,can significantly alleviate renal injury,suggesting that the pyroptosis pathway may be a potential therapeutic target for sepsis-associated AKI.This review summarizes the recent research progress on pyroptosis in sepsis-associated AKI,and discuss its cen-tral role in the pathogenesis,particularly focusing on the inflammasome and GSDMD pathways.Additionally,this paper analyzes the potential of focal death inhibition as a therapeutic strategy and proposes future research direc-tions with the expectation of providing references for the treatment of sepsis-related AKI.

BACKGROUND:Mitophagy is closely associated with the development of idiopathic pulmonary fibrosis,but its mechanism remains unclear.OBJECTIVE:To investigate the biological mechanism of mitophagy in idiopathic pulmonary fibrosis and provide ideas for the risk prediction of idiopathic pulmonary fibrosis and subtype differentiation.METHODS:The mitophagy-related genes in idiopathic pulmonary fibrosis were obtained through GEO and Reactome Pathway databases.The mitophagy-related characteristic genes in idiopathic pulmonary fibrosis were screened based on intergroup differences and random forest model.GO functional enrichment analysis and KEGG,Reactome with WIKI pathway enrichment analyses were performed by g:Profiler database.Mitophagy subtypes in idiopathic pulmonary fibrosis were distinguished by consensus clustering method and immune infiltration analysis was performed.The mitophagy-related key gene was screened.Finally,the predictive value of mitophagy-related key gene for the risk of idiopathic pulmonary fibrosis was quantified by alignment diagram and the correlation between mitophagy-related key gene and clinical characteristics of idiopathic pulmonary fibrosis was explored.RESULTS AND CONCLUSION:(1)A total of 13 genes related to mitophagy in idiopathic pulmonary fibrosis were identified and 5 characteristic genes were screened,containing PINK1,RPS27A,SRC,HIF1A,and CDH6.(2)GO analysis was mainly involved in ubiquitin protein ligase binding,and cellular response to hypoxia.Pathway enrichment analysis was mainly involved in PINK1-PRKN mediated mitophagy,NOTCH signaling pathway,signaling by EGFR and angiogenesis.(3)HIF1A had significant expression differences between subtypes,which might serve as a key gene for the differentiation of mitophagy subtypes of idiopathic pulmonary fibrosis.(4)Immune infiltration analysis suggested that myeloid-derived suppressor cell,neutrophil and type 1 T helper cell might have infiltration differences between subtypes,while HIF1A was positively correlated with multiple immune cells.(5)Alignment diagram suggested that the risk of idiopathic pulmonary fibrosis might be predicted by the expression level of HIF1A.(6)Clinical characteristics analysis indicated patients with high expression of HIF1A might have poorer lung function and more severe fibrosis.It is concluded that PINK1,RPS27A,SRC,HIF1A,and CDH6 may influence the development of idiopathic pulmonary fibrosis through mitophagy,in which HIF1A may serve as a key gene for risk prediction with clinical subtype differentiation and HIF1A is strongly associated with the lung function of patients.

Objective:To monitor intra-fractional set-up errors in tumor radiotherapy using a real-time intelligent capture system for precision displacement.Methods:A simulated radiotherapy environment was created in both the laboratory and the treatment room. A three-axis ( xyz) displacement platform (LD60-LM) and dial gauges were used as displacement measurement tools. Moreover, a real-time intelligent capture system for precision displacement was developed for displacement monitoring. With 23 patients treated with radiotherapy enrolled in this study, the above system was employed to monitor their intra-fractional set-up errors in fractionated radiotherapy. Descriptive analyses were conducted on the deviations between the data captured by cameras and the actual displacement, obtaining the mean values and standard deviation. Results:The monitoring calibration data from the laboratory revealed displacement differences of ≤ 0.5 mm within 20 mm and a maximum displacement difference of 1.47 mm for 50 mm. In contrast, the calibration result from the treatment room exhibited deviations of ± 0.2 mm on the y- z axes, as displayed by both the left and right cameras, and ± 0.31 mm on the x- z axes, as displayed by the middle camera. During 37 radiotherapy sessions in 23 patients, the monitoring result from the middle camera revealed five deviations exceeding the threshold of 5 mm, with the maximum deviation duration and displacement of 57.2 s and 9.24 mm, respectively. Conclusions:The real-time intelligent capture system for precision displacement based on machine vision can achieve real-time monitoring of set-up errors during tumor radiotherapy. Nevertheless, further improvements and service testing are necessary for this system.

Purpose To explore the value of deep learning ultrasound radiomics nomogram in assessing the biological characteristics of invasive metastases in invasive breast cancer.Materials and Methods A retrospective collection of ultrasound imaging data from 180 pathologically confirmed invasive breast cancer between January 2021 to December 2022 in Maoming People's Hospital was conducted,with pathological reports indicating the status of lymph node metastasis(LNM),lymphovascular space invasion(LVSI)or perineural invasion(PNI),according to the LNM/LVSI/PNI status,the three indexes were divided into the training cohort and the verification cohort by 8∶2.Based on Pyradiomics and ResNet50 deep learning extractor,1 316 radiomic features and 2 048 deep learning features were extracted,respectively.The random forest machine learning algorithm was employed to develop evaluation models,and the model scores were calculated.The deep learning radiomics nomograms were developed based on the radiomic and deep learning model scores.The receiver operating characteristic curve was used to assess the performance of the models.The Delong test was applied to analyze the performance differences between different models.Results In the evaluation of LNM,LVSI and PNI status,the area under the curve of all the nomogram in the cohorts demonstrated moderate or above assessment performance(≥0.73),with accuracies all greater than 0.70.Specifically,in the LNM evaluation,the area under the curve of the training cohort was 0.97,the accuracy was 0.93,the sensitivity was 0.88 and the specificity was 0.96.Through the Delong test,the assessment performance of the nomograms was superior to the radiomics models(LNM,Z=2.04,P=0.04;LVSI,Z=2.80,P=0.01;PNI,Z=3.52,P<0.01),and was superior to or similar to the deep learning models(LNM,Z=4.52,P<0.01;LVSI,Z=1.86,P=0.06;PNI,Z=0.31,P=0.76)in the training cohort.Conclusion The deep learning radiomics nomogram can effectively evaluate the biological characteristics of invasion and metastasis in invasive breast cancer.The nomogram improves the assessment performance by integrating the radiomic and deep learning feature information.

Pancytopenia is one of the serious complications of Graves disease, and its clinical treatment is quite challenging. Based on traditional Chinese medicine theory and combining with literature reports and clinical practice in China, we discuss the etiology, pathogenesis, and syndromes-based treatment of pancytopenia, hoping to open up new treatment approaches, guide clinical practice, and improve treatment effectiveness.

ObjectiveTo observe the therapeutic effect of Yiyuan Qiwei pills （YYQW） on diabetes mellitus-induced induced erectile dysfunction （DMED） in rats and explore its regulation on the nitric oxide （NO）-cyclic guanosine monophosphate （cGMP） signaling pathway. MethodFifty-five healthy SD male rats of clean grade aged 2-3 months underwent intraperitoneal injection of streptozotocin （STZ） to induce the DMED model， and another 10 healthy SD male rats of clean grade aged 2-3 months were assigned to the control group. The model rats were randomly divided into a model group， a sildenafil group （5 mg·kg^-1， ig）， and low-， medium-， and high-dose YYQW groups （1.5， 3.0， 6.0 g·kg^-1， ig）. The rats in the model group and the control group were given normal saline by gavage at 10 mL·kg^-1， once a day for two months. After intervention， the penile erectile function of rats in each group was measured by a pressure detection system. The pathological changes and ultrastructure of penile corpus cavernosum were observed by hematoxylin-eosin （HE） staining and transmission electron microscopy， respectively. The level of NO in the corpus cavernosum was detected by nitrate reductase. Enzyme-linked immunosorbent assay （ELISA） was used to detect the levels of cGMP and advanced glycation end products （AGEs）. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of endothelial nitric oxide synthase （eNOS）， neurogenic nitric oxide synthase （nNOS）， total nitric oxide synthase （NOS）， and phosphodiesterase type5 （PDE5） in rat penile tissues. The expression of above proteins was detected by Western blot. ResultCompared with the control group， the model group showed decreased intracavernous pressure （ICP）， NO， and cGMP levels， reduced mRNA and protein expression of nNOS and NOS， and increased PDE5 mRNA and protein expression （P<0.05）. Compared with the model group， the sildenafil group and the YYQW groups displayed increased ICP， NO， and cGMP levels， elevated mRNA and protein expression levels of nNOS and NOS， and reduced PDE5 mRNA and protein expression levels （P<0.05）. There were no pathological changes in the tissues and cell ultrastructure of the corpus cavernosum in the control group， while serious pathological changes were observed in the model group. Additionally， the sildenafil group and the YYQW groups were superior to the model group， the optimal effect was observed in the high-dose YYQW group. ConclusionYYQW can improve the penile erectile function of DMED rats and reduce the pathological damage of corpus cavernosum. The mechanism may be related to the promotion of nNOS and NOS expression， the inhibition of PDE5 expression， and the activation of the NO/cGMP signaling pathway.