Background Previous studies have found that exposure to benzo[a]pyrene (BaP) can lead to functional impairment of the human pancreas. Pancreatic and duodenal homeobox factor 1 (PDX-1) may play a role in regulating mitochondrial function. It is hypothesized that BaP exposure may interfere with PDX-1 expression in human pancreatic ductal epithelial cells (H6C7), thereby affecting mitochondrial transcription factor A (TFAM). This process could induce mitochondrial DNA (mtDNA) damage, disrupt pancreatic development and function, and elevate the risk of diabetes onset. Objective To investigate the mechanism of BaP-induced mtDNA damage through disruption of the PDX-1/TFAM pathway in a H6C7 cell model. Methods A H6C7 cell injury model was established using different concentrations of BaP. Cell viability was determined using cell counting kit-8 (CCK-8). After 24 h of BaP exposure (5,10, and 20 μmol·L⁻¹), cell morphological and mitochondrial membrane potential (MMP) changes were observed via confocalmicroscopy, and PDX-1/TFAM protein expression levels were assessed. Bioinformatics analysis combined with dual-luciferase reporter assays was used to confirm PDX-1 directly targeting the TFAM promoter. Following PDX-1 overexpression or silencing in BaP treated cells, flow cytometry was used to evaluate viability and apoptosis, while Western blot and quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) measured PDX-1/TFAM expression and mitochondrial DNA copy number (mtDNA-cn). Results The cell injury model demonstrated that, compared with the control group, BaP exposure reduced cell viability, disrupted membrane integrity, induced nuclear fragmentation, and decreased MMP. Protein expression levels of PDX-1 and TFAM were significantly downregulated in the 10 and 20 μmol·L⁻¹ groups (P<0.05). Dual-luciferase reporter assays confirmed that PDX-1 overexpression upregulated TFAM levels. Flow cytometry revealed that PDX-1 overexpression significantly reduced apoptosis rate (P<0.001), whereas PDX-1 silencing increased apoptosis rate (P<0.001). Compared with the BaP-only group, BaP+PDX-1 overexpression elevated TFAM protein and mRNA expression as well as mtDNA-cn (P<0.01), while BaP+siRNA-PDX-1 suppressed these parameters (P<0.001). Conclusion BaP exposure promotes apoptosis in human pancreatic cells. PDX-1, a key gene in pancreatic development, regulates the expression of TFAM, a core regulator of mitochondrial function. This interaction triggers changes in MMP and mtDNA-cn, activates the PDX-1/TFAM/mtDNA axis, and ultimately leads to pancreatic cell injury.

Background Previous studies have found that exposure to benzo[a]pyrene (BaP) can lead to functional impairment of the human pancreas. Pancreatic and duodenal homeobox factor 1 (PDX-1) may play a role in regulating mitochondrial function. It is hypothesized that BaP exposure may interfere with PDX-1 expression in human pancreatic ductal epithelial cells (H6C7), thereby affecting mitochondrial transcription factor A (TFAM). This process could induce mitochondrial DNA (mtDNA) damage, disrupt pancreatic development and function, and elevate the risk of diabetes onset. Objective To investigate the mechanism of BaP-induced mtDNA damage through disruption of the PDX-1/TFAM pathway in a H6C7 cell model. Methods A H6C7 cell injury model was established using different concentrations of BaP. Cell viability was determined using cell counting kit-8 (CCK-8). After 24 h of BaP exposure (5,10, and 20 μmol·L⁻¹), cell morphological and mitochondrial membrane potential (MMP) changes were observed via confocalmicroscopy, and PDX-1/TFAM protein expression levels were assessed. Bioinformatics analysis combined with dual-luciferase reporter assays was used to confirm PDX-1 directly targeting the TFAM promoter. Following PDX-1 overexpression or silencing in BaP treated cells, flow cytometry was used to evaluate viability and apoptosis, while Western blot and quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) measured PDX-1/TFAM expression and mitochondrial DNA copy number (mtDNA-cn). Results The cell injury model demonstrated that, compared with the control group, BaP exposure reduced cell viability, disrupted membrane integrity, induced nuclear fragmentation, and decreased MMP. Protein expression levels of PDX-1 and TFAM were significantly downregulated in the 10 and 20 μmol·L⁻¹ groups (P<0.05). Dual-luciferase reporter assays confirmed that PDX-1 overexpression upregulated TFAM levels. Flow cytometry revealed that PDX-1 overexpression significantly reduced apoptosis rate (P<0.001), whereas PDX-1 silencing increased apoptosis rate (P<0.001). Compared with the BaP-only group, BaP+PDX-1 overexpression elevated TFAM protein and mRNA expression as well as mtDNA-cn (P<0.01), while BaP+siRNA-PDX-1 suppressed these parameters (P<0.001). Conclusion BaP exposure promotes apoptosis in human pancreatic cells. PDX-1, a key gene in pancreatic development, regulates the expression of TFAM, a core regulator of mitochondrial function. This interaction triggers changes in MMP and mtDNA-cn, activates the PDX-1/TFAM/mtDNA axis, and ultimately leads to pancreatic cell injury.

Objective To develop a machine learning model integrating preoperative chest CT radiomic features with clinical data for predicting 5-year postoperative recurrence risk in stage Ⅰ non-small cell lung cancer(NSCLC)patients undergoing surgical resection.Methods A total of 217 patients with pathologically confirmed stage Ⅰ NSCLC(selected from 778 initially screened cases based on our inclusion and exclusion criteria)treated in Army Medical Center of PLA between January 2014 and December 2019 were retrospectively enrolled,including 53 recurrence cases and 164 non-recurrence cases within 5-year follow-up.They were randomly divided into a training set(n=173)and a validation set(n=44)in a ratio of 8:2.Radiomic models were established based on extracted features from tumor-dominant regions of interest(ROI)on CT images,while clinical models were developed using demographic characteristics and preoperative laboratory examinations.A combined model was further constructed by integrating both feature sets,and model performance was compared to identify the optimal predictive model.Results This study screened the features from non-contrast CT images and ultimately selected 7 radiomic features for constructing radiomic model.Among 6 machine learning algorithms,the adaptive boosting(Adaboost)model demonstrated the best overall predictive performance,with an area under the curve(AUC)of 0.866(95%CI:0.808～0.923;accuracy:0.832,specificity:0.884)in the training set and of 0.806(95%CI:0.630～0.983;accuracy:0.795,specificity:0.971)in the validation set.Univariate and multivariate logistic regression analyses identified 4 clinical features for clinical model construction.The clinical model achieved an AUC value of 0.874(95%CI:0.821～0.928;accuracy:0.827,specificity:0.891)in the training set and 0.813(95%CI:0.677～0.948;accuracy:0.636,specificity:0.600)in the validation set.By integrating the 7 radiomic features and 4 clinical features using a feature-level fusion strategy,the combined model exhibited further improved predictive performance,with an AUC value of 0.953(95%CI:0.924～0.983;accuracy:0.884,specificity:0.860)and 0.852(95%CI:0.729～0.976;accuracy:0.682,specificity:0.629),respectively in the training set and the validation set.Conclusion The combined model integrating preoperative CT radiomic features with clinical risk factors may provide an evidence-based framework for evaluating 5-year postoperative recurrence risk in stage Ⅰ NSCLC patients.

Widespread utilization of glyphosate has led to environmental residues,posing potential threats to ecological systems and human health.Traditional methods for detection of glyphosate are limited by specialized equipment and operational techniques,resulting in inefficient responses.Therefore,it is urgent to develop a convenient,sensitive and accurate detection method for detection of glyphosate.Herein,a new naphthalenesulfonamide-based"Turn-on"fluorescent probe was synthesized using 2-chloroaniline and dansyl chloride as raw materials through a one-step process,which showed a good linear relationship between the glyphosate concentration in concentration range of 0.003-70 μmol/L and the fluorescence intensity(R2=0.995),with a detection limit of 2.73 nmol/L(S/N=3).Analytical techniques such as nuclear magnetic resonance(NMR)spectroscopy and high-resolution mass spectrometry(HRMS)were used to investigate the interaction mechanism between the fluorescent probe and glyphosate.The results indicated that a nucleophilic substitution reaction occurred between the probe and the secondary amine(—NH—)of glyphosate,inducing a photoinduced electron transfer(PET)effect which enhanced the fluorescence intensity by 11.2 times.The probe showed good anti-interference ability towards coexisting metal ions,anions and pesticides in water.When applied to determination of glyphosate in the samples such as tap water,river water(Xiangxi River Reservoir),soil,soybeans,and corn,the spiking recoveries ranged from 94.7％to 109.9％,demonstrating the high accuracy and broad applicability of this detection method.A portable test strip based on this fluorescent probe was developed for rapid semi-quantitative analysis of glyphosate.The developed method was rapid,sensitive,and portable,providing theoretical and technical support for on-site measurement of environmental contaminants.

Cardiovascular disease and cancer are the two leading chronic conditions contributing to global mortality. With the rising incidence of cancer, the prevalence of cancer therapy-related cardiovascular complications has also increased, driving the development of the emerging field of cardio-oncology. The advancement of precision medicine offers new opportunities for the individualized and targeted management of cardiovascular toxicities associated with cancer treatment. Artificial intelligence (AI) has the potential to overcome traditional limitations in medical data integration, dynamic monitoring, and interdisciplinary collaboration, thereby accelerating the application of precision medicine in cardio-oncology. By enabling personalized treatment and reducing cardiovascular complications in cancer patients, AI serves as a critical tool in this domain. This article provides an in-depth interpretation of the 鈥淎rtificial intelligence to enhance precision medicine in cardio-oncology: a scientific statement from the American Heart Association鈥?aiming to inform the integration of AI into precision medicine in China. The goal is to promote its application in the management of cardiovascular diseases related to cancer therapy and to achieve precision management in this context.

Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

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.

This study aims to explore the mechanism of lung and gut protection by Tanreqing Capsules on the mice infected with influenza virus based on "the lung-gut axis". A total of 110 C57BL/6J mice were randomized into control group, model group, oseltamivir group, and low-and high-dose Tanreqing Capsules groups. Ten mice in each group underwent body weight protection experiments, and the remaining 12 mice underwent experiments for mechanism exploration. Mice were infected with influenza virus A/Puerto Rico/08/1934(PR8) via nasal inhalation for the modeling. The lung tissue was collected on day 3 after gavage, and the lung tissue, colon tissue, and feces were collected on day 7 after gavage for subsequent testing. The results showed that Tanreqing Capsules alleviated the body weight reduction and increased the survival rate caused by PR8 infection. Compared with model group, Tanreqing Capsules can alleviate the lung injury by reducing the lung index, alleviating inflammation and edema in the lung tissue, down-regulating viral gene expression at the late stage of infection, reducing the percentage of neutrophils, and increasing the percentage of T cells. Tanreqing Capsules relieved the gut injury by restoring the colon length, increasing intestinal lumen mucin secretion, alleviating intestinal inflammation, and reducing goblet cell destruction. The gut microbiota analysis showed that Tanreqing Capsules increased species diversity compared with model group. At the phylum level, Tanreqing Capsules significantly increased the abundance of Firmicutes and Actinobacteria, while reducing the abundance of Bacteroidota and Proteobacteria to maintain gut microbiota balance. At the genus level, Tanreqing Capsules significantly increased the abundance of unclassified＿f＿Lachnospiraceae while reducing the abundance of Bacteroides, Eubacterium, and Phocaeicola to maintain gut microbiota balance. In conclusion, Tanreqing Capsules can alleviate mouse lung and gut injury caused by influenza virus infection and restore the balance of gut microbiota. Treating influenza from the lung and gut can provide new ideas for clinical practice.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Lung/metabolism* ; Mice, Inbred C57BL ; Capsules ; Orthomyxoviridae Infections/virology* ; Gastrointestinal Microbiome/drug effects* ; Male ; Humans ; Female ; Influenza A virus/physiology* ; Influenza, Human/virology*

Objectives:The aim is to analyze the cost structure and coefficient of variation for hospitalized patients with malnutrition based on Diagnosis-Related Groups(DRG),providing a reference for the further application and promotion of DRG.Method:Data were collected from patients admitted to Ningxia Hui Autonomous Region People's Hospital between March 2023 and August 2023.A diagnostic system based on artificial intelligence was used to identify malnourished patients.The composition of hospitalization costs for these individuals was described and analyzed,as was the coefficient of variation for various costs within DRG groupings.A multivariate regression analysis was conducted to identify the factors that influence patient hospitalization costs.Results:The average age of hospitalized patients with malnutrition was(68.12±16.43)years,with an average length of stay of(14.55±8.47)days,with an average hospitalization cost of(32 128.89±35 345.61)yuan.Among patients within the same DRG group,the coefficient of variation for various costs was found to be lower in the malnutrition group than in the normal group.This suggests that when assessed individually,the malnutrition group exhibited a higher degree of homogeneity in their cost structures.The factors influencing total hospitalization costs were found to be:length of hospital stay(P=0.001),nutritional monitoring fees(P=0.020),number of chronic diseases(P=0.003),and Karnofsky Performance Status(KPS)score(P=0.038).Hospitalization costs were positively correlated with both length of stay and nutritional assessment fees,but negatively correlated with the number of chronic diseases and KPS scores.Conclusions:Malnutrition has a profound impact on health outcomes,medical expenses,length of hospital stay,and disease severity.The implementation of the DRG system aims to standardize and improve the nutritional diagnosis and treatment process by categorizing different stages of malnutrition.This approach can minimize variations within DRG groups,making it easier to allocate medical resources more precisely and efficiently.Furthermore,it is a valuable reference tool for promoting DRG payment reform in different regions.

Hemorrhagic shock is a common clinical emergency that can aggravate cell injury after resuscitation. Astrocytes are crucial for the survival of neurons because they regulate the surrounding ionic microenvironment of neurons. Although hemorrhagic shock and resuscitation (HSR) injury can impair cognition, it remains unclear how this insult directly affects astrocytes. In this study, we established an HSR model by bleeding and re-transfusion in mice. The social interaction test and new object recognition test were applied to evaluate post-operative cognitive changes, and the results suggest that mice experience cognitive impairment following exposure to HSR. In the HSR group, the power spectral density of β and γ oscillations decreased, and the coupling of the θ oscillation phase and γ oscillation amplitude was abnormal, which indicated abnormal neuronal oscillation and cognitive impairment after HSR exposure. In brief, cognitive impairment in mice is strongly correlated with Ca²⁺ signal strength in lateral septum astrocytes following HSR.
Animals ; Astrocytes/metabolism* ; Shock, Hemorrhagic/metabolism* ; Resuscitation/adverse effects* ; Male ; Mice ; Calcium Signaling/physiology* ; Mice, Inbred C57BL ; Septal Nuclei/metabolism* ; Cognitive Dysfunction/etiology* ; Disease Models, Animal ; Cognition Disorders/etiology*