ObjectiveTo investigate the preventive and therapeutic effects of Qingfei Paidu decoction (QFPDD) on acute lung injury (ALI) in mice and its underlying molecular mechanisms based on miRNA sequencing technology. MethodsTwenty-four 4-week-old male KM mice were randomly divided into a control group, a model group, and a QFPDD group (n = 8 per group). After one week of acclimatization, mice in the control and model groups were intragastrically administered ultrapure water (0.2 mL per dose), whereas mice in the QFPDD group were intragastrically administered QFPDD (1.6 g crude drug/mL, 0.2 mL per dose), twice daily for 8 consecutive days. On days 2–8, mice in the model and QFPDD groups were exposed to aerosolized lipopolysaccharide (LPS) solution (2.5 g/L, 4 mL per exposure) for 7 consecutive days. On day 9, blood was collected via the retro-orbital venous plexus under deep anesthesia, and lung tissues were harvested. Body weight and lung weight were measured, and the lung coefficient was calculated. Serum levels of inflammatory cytokines tumor necrosis factor-α (TNF-α), interleukin (IL)-1β, and IL-6 were detected by ELISA. Lung histopathological changes were observed by HE staining of paraffin-embedded sections. miRNA expression profiles in lung tissues were analyzed using the Illumina HiSeq 2500 sequencing platform. Target genes of differentially expressed miRNAs were predicted using bioinformatics databases, and functional enrichment analysis of these target genes was performed using gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Differentially expressed miRNAs were validated by reverse transcription quantitative real-time PCR (RT-qPCR). ResultsCompared with the control group, the model group showed a consistent body weight growth trend but a significantly increased lung coefficient (P < 0.01). ELISA results showed that serum levels of TNF-α and IL-6 were significantly elevated in the model group compared with the control group (P < 0.01), whereas QFPDD treatment significantly reduced serum TNF-α and IL-6 levels compared with the model group (P < 0.05). HE staining showed that, compared with the control group, the model group exhibited widened alveolar septa, massive inflammatory cell infiltration, partial alveolar expansion, and mild capillary dilation with congestion. In contrast, the QFPDD group showed only slightly widened alveolar septa and mild inflammatory cell infiltration compared with the model group. Intersection analysis of miRNA sequencing data identified 13 differentially expressed miRNAs common to both the model vs. control and QFPDD vs. model comparisons. Among them, 6 miRNAs (mmu-miR-203-3p, mmu-miR-181b-5p_R-1, hsa-miR-4286_R+1, mmu-miR-1843b-5p_L+1R-1_2, mmu-miR-22-3p, and mmu-miR-1964-3p) were significantly up-regulated in the model group (P < 0.05) and significantly down-regulated after QFPDD treatment (P < 0.05), showing a therapeutic reversal trend. GO analysis revealed that the target genes of the differentially expressed miRNAs were mainly enriched in biological processes such as RNA polymerase Ⅱ transcriptional regulation. KEGG analysis indicated that target genes were mainly enriched in signaling pathways including the mitogen-activated protein kinase (MAPK) pathway. RT-qPCR validation result for mmu-miR-203-3p was consistent with the sequencing analysis results. ConclusionQFPDD may exert preventive and therapeutic effects against ALI by regulating the expression of mmu-miR-203-3p and other miRNAs, thereby modulating inflammatory responses and the MAPK signaling pathway and participating in the pathological process of lung injury.

Objective:To analyze changes of donor corneal endothelial cell density (ECD) and morphology from eye bank before and after keratolasty and the influencing factors.Methods:An observational case series study was performed.A total of 118 donor corneas, retrieved by the Shandong Province Eye Bank between July 2020 and June 2021 for penetrating keratoplasty (PKP) and endothelial keratoplasty (EK) were included.Among them, 99 corneas (83.90%) were used for PKP, and 19(16.10%) for EK.The basic information of donors and the results of corneal quality tests were analyzed and compared with ECD measured by endothelial microscopy one month after keratolasty.Morphological changes in endothelial cells before and after surgery were observed, and factors influencing corneal ECD and morphology were analyzed.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Shandong Eye Hospital (No.SDSYKYY20170319).Written informed consent was obtained from each subject.Results:Among the 99 donor corneas for PKP, there were statistically significant differences in preoperative donor corneal ECD and 1-month postoperative ECD of implant among different age groups ( F=18.136, 5.936; both P<0.01), which were lower in the 31-60-year-old group and the >60-year-old group than in the 0-30-year-old group and higher in the 31-60-year-old group than in the >60-year-old group, with statistically significant differences (all P<0.01).There were statistically significant differences in the preoperative donor corneal ECD among different donor cause of death groups ( F=4.524, P<0.01), which was higher in the traumatic accident group compared to the cardiovascular and cerebrovascular disease group, chronic organ failure group and malignant tumor group (all P<0.01).The preoperative donor ECD in the death-tissue retrieval time ≤6 hours group was (2 577.66±284.63)cells/mm 2, which was higher than (2 372.46±399.75)cells/mm 2 in the death-tissue retrieval time >6 hours group, with a statistically significant difference ( t=2.289, P<0.05).There were statistically significant differences in 1-month postoperative ECD among the preservation-surgery time ≤3 days, 3-6 days, and >6 days groups ( F=6.201, P<0.01), with higher ECD in preservation-surgery time ≤3 days groups than in 3-6 days and >6 days groups (both P<0.01).The preoperative donor corneal ECD applied to EK was significantly higher than that applied to PKP ( t=-2.660, P<0.01).ECD at 1 month after surgery applied to PKP was significantly higher than that applied to EK ( t=4.286, P<0.01).The ECD reduction rate was 7.14% (0.01%, 17.69%) and 31.07% (22.11%, 45.86%) in PKP group and EK group, respectively, with a statistically significant difference ( Z=4.969, P<0.01).The ECD was lower in the group with dark area than in the non-dark area group before PKP, with a statistically significant difference ( t=6.789, P=0.011).There was no significant difference in ECD at 1 month after keratoplasty between the two groups ( t=0.005, P=0.945).Multivariate logistic regression model results showed that preservation-surgery time >6 days and the cause of donor death being malignant tumor were risk factors for the appearance of dark areas in donor corneal endothelium ( OR=9.038, P=0.030; OR=6.577, P=0.018). Conclusions:The older the donor, the lower the ECD.Prolonged preservation-surgery time (>6 days) is the main factor contributing to the decline in ECD after keratolasty.Compared to PKP, there is a higher endothelial cell loss after EK.The tissue preservation-surgery time >6 days and the cause of donor death being malignant tumor are the main risk factors affecting the appearance of dark areas in the donor corneal endothelium.But the presence of physiological dark areas does not significantly influence the ECD after surgery.

Objective:To compare minimally invasive surgery with traditional open surgery, analyze the current application status of health economic evaluations in the treatment of digestive tract cancers, such as esophageal cancer, gastric cancer, and colorectal cancer by minimally invasive surgery and provide evidence for the rational selection of clinical treatment, alleviation of disease-related economic burdens, and rational allocation of healthcare resources.Methods:By using five databases, i.e. China National Knowledge Infrastructure, Wanfang data, Chinese Biomedical Literature Database, PubMed, and Embase, a database was established to retrieve all the papers about health economic studies of minimally invasive surgery for esophageal cancer, gastric cancer, and colorectal cancer published until December 31, 2023. Literature was analyzed by using software NoteExpress 3.8, and data were processed using Excel 2021. The quality of included papers was evaluated using the CHEERS 2022 checklist, and Meta-analysis was conducted by using software Stata 17.0.Results:A total of 10 919 relevant papers were retrieved, and 59 studies were included. Only 14 studies (23.7%) used standard health economic evaluation methods. Meta-analysis results revealed no significant differences in direct medical expenditure and total expenditure between minimally invasive surgery and open surgery. However, the expenditure for minimally invasive surgery exhibited a significant increase [mean difference ( MD)=5 973.12 yuan, P<0.001], while hospital stay and indirect expenditure significantly decreased ( MD: -4.85 days and -733.79 yuan, P<0.001). In China, for gastric cancer, the direct medical expenditure of endoscopic surgery was lower than that of open surgery ( MD=-33 000.00 yuan) with no significant difference ( P<0.001). In colorectal cancer cases, the direct medical and surgical expenditures for laparoscopic surgery were higher than those for open surgery ( MD: 4 277.94 yuan and 4 267.80 yuan, P<0.001), while the indirect and total medical expenditures decreased ( MD: -768.34 yuan and -159.10 yuan). Hospital stays in patients who had minimally invasive surgery for all three types of cancer were shorter than those who had open surgery ( P<0.001). Conclusions:In the treatment of gastrointestinal cancer, compared with open surgery, minimally invasive surgery shows higher expenditure, but has advantages, such as shorter hospital stay and lower indirect expenditure, and there were no significant differences in direct medical and total expenditures between the two approaches. When conducting health economic evaluation, factors such as postoperative complications, hospital stay, and patient's economic status should be considered for their impact on total medical expenditure. It is necessary to pay attention to the application of health economic evaluations in healthcare decision-making.

Objective To investigate the association of liver radiodensity with the degree and progression of liver fibrosis in patients with chronic hepatitis B(CHB).Methods A retrospective cohort study was conducted among 114 CHB patients who were hospitalized in The First Hospital of Lanzhou University from January to December 2019,and related clinical data were collected,including laboratory tests and abdominal CT.The metabolic characteristics of the patients were assessed,and liver radiodensity was measured.An analysis of variance was used for comparison of normally distributed continuous data between three groups,and the Kruskal-Wallis H rank sum test was used for comparison of continuous data with skewed distribution between three groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between three groups.A logistic regression analysis was used to investigate the influencing factors for the degree of liver fibrosis,and the Cox proportional-hazards regression model analysis was used to investigate the influencing factors for the progression of liver fibrosis in CHB.Results Among the 114 patients enrolled,43(37.72％)had no liver cirrhosis,30(26.32％)were suspected of liver cirrhosis,and 41(35.96％)had liver cirrhosis,with a median follow-up time of 538.5(322.75-1 031.50)days.Liver radiodensity on plain scan(odds ratio[OR]=0.81,95％confidence interval[CI]:0.68-0.97,P=0.025),liver radiodensity on contrast-enhanced scan(OR=0.95,95％CI:0.90-0.99,P=0.037),and liver volume(OR=0.99,95％CI:0.98-0.99,P<0.001)were independent influencing factors for the degree of liver fibrosis.The univariate Cox regression analysis showed that the low level of HDL(hazard ratio=2.81,95％CI:1.04-7.54,P=0.041)was associated with the progression of liver fibrosis in CHB patients,and the degree of liver fibrosis,liver volume,and liver radiodensity showed no significant association with the progression of liver fibrosis(all P>0.05).Conclusion In CHB patients,liver radiodensity is an independent influencing factor for the degree of liver fibrosis,and low HDL has a marked influence on the progression of liver fibrosis.

BACKGROUND: Epidermal growth factor receptor (EGFR) sensitive mutation is one of the effective targets of targeted therapy for non-small cell lung cancer (NSCLC). However, due to the difficulty of obtaining some primary tissues and the economic factors in some underdeveloped areas, some patients cannot undergo traditional genetic testing. The aim of this study is to establish a machine learning (ML) model using non-invasive peripheral blood markers to explore the biomarkers closely related to EGFR mutation status in NSCLC and evaluate their potential prognostic value. METHODS: 2642 lung cancer patients who visited Jiangsu Cancer Hospital from November 2016 to May 2023 were retrospectively enrolled and finally 175 NSCLC patients with complete follow-up data were included in the study. The ML model was constructed based on peripheral blood indicators and divided into training set and test set according to the ratio of 8:2. Unsupervised learning algorithms were used for clustering blood features and mutual information method for feature selection, and an ensemble learning algorithm based on Shapley value was designed to calculate the contribution of each feature to the model prediction result. The receiver operating characteristic (ROC) curve was used to evaluate the predictive ability of the model. RESULTS: Through the feature extraction and contribution analysis of the predictive results of the interpretable ML model based on the Shapley value, the top ten indicators with the highest contribution were: pathological type, phosphorus, eosinophils, monocyte count, activated partial thromboplastin time, potassium, total bilirubin, sodium, eosinophil percentage, and total cholesterol. The area under the curve (AUC) of the model was 0.80. In addition, patients with hyponatremia and squamous cell carcinoma group had a poor prognosis (P<0.05). CONCLUSIONS The interpretable model constructed in this study provides a new approach for the prediction of EGFR mutation status in NSCLC patients, which provides a scientific basis for the diagnosis and treatment of patients who cannot undergo genetic testing.
Humans ; Carcinoma, Non-Small-Cell Lung/diagnosis* ; Machine Learning ; Lung Neoplasms/diagnosis* ; Male ; Female ; Mutation ; Middle Aged ; ErbB Receptors/genetics* ; Prognosis ; Aged ; Retrospective Studies ; Adult ; Biomarkers, Tumor/genetics*

Sepsis is a life-threatening organ dysfunction syndrome caused by a dysregulated host response to infection. Septic acute kidney injury (SAKI) is one of the most common complications of sepsis, and the occurrence of acute kidney injury (AKI) indicates that the patient's condition is critical with a poor prognosis. The traditional view holds that the main mechanism of SAKI is the reduction of renal blood flow, inadequate renal perfusion, inflammatory response, and microcirculatory dysfunction caused by sepsis, which subsequently leads to ischemia and necrosis of renal tubular cells. Recent research findings indicate that processes such as autophagy and other forms of programmed cell death play an increasingly important role. Autophagy is a programmed intracellular degradation process and is a form of programmed cell death. Cells degrade their cytoplasmic components via lysosomes, breaking down and recycling intracellular constituents to meet their metabolic needs, maintain intracellular homeostasis, and renew organelles. During SAKI, autophagy plays a crucial protective role through various mechanisms, including regulating inflammation and immune responses, clearing damaged organelles, and maintaining stability in the intracellular environment. In recent years, the role of autophagy in the pathogenesis and treatment of SAKI has received widespread attention. Research has confirmed that various intracellular signaling pathways and signaling molecules targeting autophagy [such as mammalian target of rapamycin (mTOR) signaling pathway, AMP-activated protein kinase (AMPK) signaling pathway, nuclear factor-κB (NF-κB) signaling pathway, and Sirtuins (SIRT), autophagy associated factor Beclin-1, and Toll-like receptor (TLR)] are involved in the development of SAKI. Due to the complex pathogenesis of SAKI, current treatment strategies include fluid management, infection control, maintenance of internal environment balance, and renal replacement therapy; however, the mortality remains high. In recent years, it has been found that autophagy plays a critical protective role in sepsis-mediated AKI. As a result, an increasing number of drugs are being developed to alleviate SAKI by regulating autophagy. This article reviews the latest advances in the role of autophagy in the pathogenesis and treatment of SAKI, with the aim of providing insights for the development of new drugs for SAKI patients.
Humans ; Acute Kidney Injury/etiology* ; Autophagy ; Sepsis/complications* ; Signal Transduction

Objective To assess stromal fibrosis in epidermal growth factor receptor(EGFR)mutant lung adenocarcinoma and its association with resistance to targeted therapy and patient prognosis.Methods Medical records of 207 patients diagnosed with EGFR-mutant advanced lung adenocarcinoma who received treatment at a hospital between January 2021 and December 2022 were reviewed.A total of 86 patients were ultimately included based on their prognosis and survival duration.These patients were categorized into a resistance group(32 cases)and a non-resistance group(54 cases),depending on whether they developed resistance to targeted therapy within one year.Additionally,patients were classified into mild,moderate,and severe fibrosis groups according to the extent of fibrosis observed.Clinical and pathological characteristics,as well as fibrosis levels,were compared between the two groups.Factors influencing the development of resistance to targeted therapy in patients with EGFR-mutant lung adenocarcinoma were analyzed,and the survival outcomes of patients with varying degrees of fibrosis were evaluated during follow-up.Results In the resistance group,the prevalence of EGFR exon 20 insertion mutations,elevated CA125 levels,and the presence of moderate-to-severe fibrosis were significantly higher compared to the non-resistance group(P<0.05).Multivariate logistic regression analysis revealed that EGFR exon 20 inser-tion mutation(OR=3.691,95%CI:1.043～13.057),elevated CA125 levels(OR=4.104,95%CI:1.160～14.517),and moderate-to-severe fibrosis(OR=3.959,95%CI:1.410～11.115)were independent risk factors associated with resistance to targeted therapy among patients with EGFR-mutant lung adenocarcinoma(P<0.05).The Cox proportional hazards model demonstrated a C-index of 0.72(95%CI:0.65～0.79),with area under the curve(AUC)values for 1-year and 2-year survival predictions of 0.781 and 0.734,respectively.EGFR exon 20 insertion mutation(HR=3.691),moderate-to-severe fibrosis(HR=3.959),and elevated CA125 levels(HR=4.104)were identified as independent prognostic factors for overall survival in these patients following targeted therapy.The median progression-free survival(PFS)for patients with mild,moderate,and severe fibrosis was 10.5 months,7.2 months,and 3.9 months,respectively,while the median overall survival(OS)was 21.4 months,16.1 months,and 11.5 months,respectively.Statistically significant differences in both PFS and OS were observed across the three fibrosis severity groups.(P<0.05).Conclusion The extent of stromal fibrosis in EGFR-mutant lung adenocarcinoma influences resistance to targeted therapy,and the progression of fibrosis is correlated with an unfavorable prognosis.

This paper focuses on the application of health big data in cancer screening. Firstly, the sources and characteristics of health big data are introduced, then the commonly used epidemiological designs and analytical techniques in hospital-based cancer screening studies are summarized and the application scenarios of such studies are described. Finally, the challenges and future development in the application of health big data are analyzed to provide reference for the future studies.

Objective:To analyze the research hotspots and trends in the stigmatization of adolescents living with HIV/AIDS.Methods:Relevant literature was retrieved from the Web of Science Core Collection database, with the search covering from database inception to May 1, 2024. CiteSpace software was used to conduct bibliometric analysis, including the distribution of countries, institutions, authors, keywords, and cited references. Knowledge maps were generated to visualize the findings.Results:A total of 414 articles were included in the analysis. The number of publications has shown an overall upward trend. The United States had the highest number of publications (244 articles), the most productive institution was University of Cape Town (31 articles), and the most productive author was Linda-Gail Bekker (9 articles). Research hotspots mainly focused on stigmatization, behavioral patterns, mental health, treatment adherence, social support, and intervention models.Conclusions:Research on the stigmatization of adolescents living with HIV/AIDS is currently at a critical stage. Future studies should continue to explore the multidimensional impact of stigma and focus on the development of region-specific and individualized intervention models, while actively constructing a comprehensive support system within the field of public health.

Objective To explore an epileptic seizure prediction method for patients with refractory epilepsy to improve the classification and prediction efficiency of epileptic electroencephalogram(EEG)signals.Methods The study used the long-term EEG database of patients with intractable epilepsy from Children's Hospital Boston(CHB-MIT).The EEG features of epileptic seizures and preictal periods were extracted from multiple dimensions such as EEG synchronization,complexity,and energy distribution,and then these features were input into the artificial neural network model for classification and identification,thereby achieving accurate prediction of epilepsy.The performance were optimized by adjusting the model parameters,and a comparative evaluation was conducted with existing deep learning models.Results The model proposed in this study showed an accuracy rate of 99.29％,a precision of 91.44％,a sensitivity of 96.46％,and a specificity of 99.46％.Compared with current epilepsy seizure prediction studies based on machine learning or deep learning frameworks,the model in this study improved its classification prediction capabilities and demonstrated higher prediction accuracy.Conclusion An effective prediction of epileptic seizures was achieved by manually extracting epileptic EEG features and constructing an artificial neural network model.The model demonstrated high accuracy and stability,providing reliable technique to support clinical treatment and prevention of epilepsy.