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 investigate the impact of peripheral blood prolymphocyte percentage on the prognosis of patients with chronic lymphocytic leukemia (CLL) .Methods:This study included 300 patients diagnosed with CLL at the Department of Hematology of Jiangsu Provincial People’s Hospital from October 2011 to December 2020. The association between prolymphocyte percentage and other parameters was analyzed, and the optimal cutoff prolymphocyte percentage was determined by X-tile analysis. Further survival analysis and prognostic model construction were used to validate the predictive value of prolymphocyte percentage.Results:Of the 300 eligible patients with CLL who were enrolled, 50 received Bruton tyrosine kinase inhibitors (BTKi) as first-line treatment. The group with higher prolymphocyte percentage comprised more patients in the advanced stages ( P=0.010) and had higher β 2-microglobulin ( P<0.001), unmutated immunoglobulin heavy-chain variable region gene ( P<0.001), and TP53 aberration ( P=0.004). The optimal cutoff percentage of prolymphocytes was 1%. Patients with a prolymphocyte percentage >1% had significantly shorter treatment-free survival (TFS) ( P<0.001) and overall survival time ( P=0.007) than patients with a prolymphocyte percentage ≤1%. On multivariate analysis, prolymphocyte percentage >1% tended to have an independent prognostic value for TFS [ HR=1.405 (95% CI 0.971~2.032), P=0.071]. Compared with the nomogram of CLL international prognostic index (CLL-IPI) alone, the nomogram of CLL-IPI combined with prolymphocyte percentage showed better discrimination (area under the curve: 0.778 vs. 0.637; P=0.006). In addition, patients with a prolymphocyte percentage >1% were more likely to progress after BTKi treatment ( P=0.038) . Conclusion:Peripheral blood prolymphocyte percentage was associated with various clinical and biological parameters and prognosis among patients with treatment-naive CLL.

Acupuncture and moxibustion have their unique advantages in treating tumors,but the theoretical framework of acupuncture and moxibustion intervention in tumors needs to be improved,and the academic system still needs to be sorted out.In this paper,we try to describe the commonalities between Chinese medical theories and modern medical technologies in order to consolidate the theoretical foundation of acupuncture intervention in tumor.Specifically:① Acupuncture regulates immune function and energy metabolism,which is a specific form of tonifying the spleen and stomach to support positive qi.② Tumors belong to the broad definition of"sores and ulcers"in traditional Chinese medicine,which is a special kind of chronic inflammation,and acupuncture intervenes in tumors by intervening in inflammatory reactions from ulcers.③ Tumor is a"dynamic pseudo-organ"with yin and yang attributes and"life attributes".Acupuncture and moxibustion can regulate various cells and factors in the tumor environment in a multi-targeted way,so as to make it tend to the state of yin and yang equilibrium.④ Acupuncture and moxibustion have unique advantages in the reduction of toxicity,enhancement of efficacy,tonicity,rejuvenation,treatment of complications,etc.,which complement the allopathic therapies of modern medicine,and can help to realize survival with tumors.

Medical therapy and surgical intervention are the two primary approaches for treating myocardial bridge.However,there remains controversy regarding the use of coronary artery bypass grafting(CABG)and myocardial bridge unroofing.Here,we report a case of myocardial infarction following CABG in a patient with a myocardial bridge.The patient was admitted to Lanzhou First Peopie's Hospital with persistent chest pain,chest tightness,and shortness of breath lasting 2 hours.Physical examination revealed no significant abnormalities.Electrocardiography(ECG)indicated extensive anterior wall myocardial infarction.Laboratory findings showed myoglobin levels of 140.1 ng/ml and troponin Ⅰ levels of 2.59 ng/ml,with no other significant abnormalities.The initial diagnosis was acute extensive anterior wall myocardial infarction.Emergency coronary angiography revealed a myocardial bridge in the mid-segment of the left anterior descending artery(LAD).Emergency CABG using the left internal mammary artery to the LAD was performed,leading to symptomatic improvement,and the patient was discharged in stable condition.However,the patient experienced a recurrent myocardial infarction seven years post-surgery and received secondary preventive medical therapy.The patient is currently under ongoing follow-up care.CABG is an effective treatment for myocardial bridge.However,based on the case reported in this study,we recommend careful evaluation of whether a patient may benefit from CABG.

Objective To investigate the influencing factors of postoperative complications with Clavien-Dindo grade ≥ Ⅲ in elderly patients with esophageal cancer and construct a line graph prediction model.Methods 376 esophageal cancer patients who underwent radical esophagectomy in our hospital from January 2021 to December 2022 were selected as the study subjects.According to the Claven Mindo surgical complication grading system,the groups were divided into two groups:Clavien Mindo grading Grade Ⅲ group(93 cases)and Clavien Mindo grading＜Grade Ⅲ group(283 cases).Univariate analysis and multifactor Logistic regression were used to analyze the influencing factors of postoperative complications of esophageal cancer with Clavien-Dindo grade ≥ Ⅲ,and establish a risk prediction column chart model using R 3.5.1 software;The discrimination and calibration of the area verification model under the ROC curve;Use calibration curves and Hosmer Lemeshoe goodness of fit tests to evaluate the fit of the column chart model.Results 376 patients with esophageal cancer,93 patients with Clavien-Dindo grade ≥ Ⅲ had complications,accounting for 24.73％.The results of univariate analysis showed that chronic respiratory disease,intraoperative blood loss,surgical time,ASA grading,prognostic nutritional index,and Charlson comorbidities index were significantly correlated with postoperative complications in elderly esophageal cancer patients with Clavien Dundo grading ≥ grade Ⅲ(P＜0.05).The results of the logistic multiple regression model showed that intraoperative bleeding volume,surgical time,ASA grading,prognostic nutritional index,and Charlson Comorbidity Index were independent risk factors for postoperative complications in elderly esophageal cancer patients with Clavien Dundo grading≥grade Ⅲ(all P＜0.05),Based on five variables,a nomogram prediction model for postoperative complications in elderly patients with esophageal cancer with Clavien-Dindo grade ≥ Ⅲ was constructed.ROC curve analysis verified that the area under ROC curve was 0.835(0.794～0.876),indicating a good differentiation of the model.The calibration curve is drawn.The slope of the calibration curve is close to 1,and the predicted probability is basically consistent with the actual probability.Hosmer-Lemeshow goodness of fit test,x2=5.737,df=8,P=0.676.The analysis results of decision curve show that the threshold probability is less than 0.8 and the net benefit rate is greater than 0.Conclusion The prediction model based on 5 independent risks can reliably predict the probability of postoperative complications with Clavien-Dindo grade ≥ Ⅲ,which is helpful to provide targeted preventive measures for high-risk patients and reduce the occurrence of complications with Clavien-Dindo grade≥Ⅲ.

As the first defense of respiratory system,airway epi-thelial cells(AECs)play an important role in separating the re-spiratory internal and external environment.They are essential for the natural immune function.Small airway lesions are an im-portant early pathology of chronic obstructive pulmonary disease(COPD),when AECs are exposed to harmful particles or gases for a long time,the epithelial barrier is damaged,and the signa-ling pathways which involved in differentiation,repair,and in-flammatory are disordered,resulting in epithelial cell cycle stag-nation and accelerated aging.A number of studies have sugges-ted that AECs of COPD patients express high levels of aging markers,suggesting that senescence of AECs is closely related to COPD.This review discusses the potential mechanisms of AECs senescence in COPD,the impact of AECs senescence on the de-velopment and severity of the disease,and highlights potential targets for modulating cellular senescence in airway epithelium as a therapeutic approach in COPD.

Objective: To investigate the potential efficacy and safety of Lutai Danshen Baishao granules (LDBG) for treating female melasma associated with kidney deficiency and blood stasis patterns. Methods: A randomized, double-blind, placebo-controlled trial was conducted at the Third Central Hospital of Tianjin, China from March to December 2023. A total of 110 female patients with melasma linked to kidney deficiency and blood stasis were enrolled and treated with either LDBG or a placebo twice daily for 60 days. Efficacy was assessed through measures such as the total melasma area, reduced melasma area, reduction rate of melasma area, melasma color score, Melasma Area and Severity Index (MASI) score, and traditional Chinese medicine (TCM) symptom score scale. Safety assessments included routine blood and biochemical tests. Results: Participants in both groups were aged 52–63 years, with no significant differences. After the 2-month intervention, the total melasma area decreased in both groups; however, a greater reduction was observed in the test group [462.50 mm2 (12.81%) vs. 100.00 mm2 (3.11%), P < .001]. Moreover, LDBG treatment significantly reduced the MASI and melasma color scores in the test group (P < .05). The total TCM symptom evaluation score significantly decreased (test group: 6.00 vs. placebo group: 7.00, P = .001), with significant relief in symptoms such as improvement in dark lips, nails, and waist soreness in the test group, compared with that in the placebo group (P < .05). Within-group comparisons revealed that TCM syndrome was significantly alleviated in the test group (P < .05). Conclusion LDBG intervention shows promising effectiveness in reducing female melasma and alleviating TCM syndromes.

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.

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.