ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveTo investigate the contamination status of ochratoxin A (OTA) in commercially available food products in Shanghai, and to assess OTA exposure levels and the associated non-carcinogenic and carcinogenic risks among pregnant women by integrating dietary consumption data of this population. MethodsThe levels of OTA contamination in 1 520 food samples collected in Shanghai from 2022 to 2023 were determined using liquid chromatography-tandem mass spectrometry. An exposure assessment model was developed based on the dietary consumption levels of pregnant women from the 2016‒2017 Shanghai Pregnant Women Dietary Monitoring Survey to calculate the estimated daily intake (EDI) of OTA, the margin of exposure for non-carcinogenic toxicity (MOE₁), and the margin of exposure for carcinogenic toxicity (MOE₂). An MOE₁ greater than 200 and an MOE₂ greater than 10 000 indicate that the non-carcinogenic toxicity and carcinogenic toxicity resulting from exposure are negligible, respectively. For samples with OTA contamination levels below the limit of detection (LOD), which accounted for more than 80% of the samples, the OTA levels were assigned values of 0 and LOD, respectively, for subsequent calculations. ResultsThe detection rates of OTA in cereals, nuts, dried fruits, and alcohol samples collected in 2022 were 2.03%, 0, 0, and 0, respectively. The OTA detection rates in cereals, nuts, dried fruits, beans, and alcohol samples collected in 2023 were 2.50%, 0.39%, 2.47%, 1.67%, and 13.33%, respectively. For pregnant women in Shanghai in 2022, simulation results indicated that when assigning a value of 0 and the LOD, theP₅₀ values of EDI for dietary OTA exposure were 0.05 and 0.72 ng·(kg·d)^-1, respectively, and the P₉₅ values of EDI for dietary OTA exposure were 0.25 and 2.40 ng·(kg·d)^-1, respectively. For pregnant women in Shanghai in 2023, the P₅₀ values of EDI for dietary OTA exposure were 0.04 and 1.00 ng·(kg·d)^-1, respectively, and the P₉₅ values of EDI for dietary OTA exposure were 0.23 and 2.67 ng·(kg·d)^-1, respectively, both substantially below the tolerable daily intake (TDI) for OTA [17 ng·(kg·d)^-1]. The EDI for dietary OTA exposure in 100.0% of Shanghai pregnant women was lower than the TDI, indicating an overall low level of dietary OTA exposure among this population. For 100.0% of pregnant women, the MOE₁ for dietary OTA exposure exceeded 200. When assigned a value of 0, the MOE₂ for 100.0% of pregnant women in both 2022 and 2023 exceeded10 000. When assigned the LOD value, 72.3% and 81.8% of pregnant women in 2022 and 2023, respectively, had an MOE₂ exceeding 10 000. ConclusionFrom 2022 to 2023, samples of cereals, nuts, dried fruits, beans, and alcohol sold in Shanghai exhibited varying degrees of OTA contamination. The overall EDI of OTA exposure among pregnant women in Shanghai remained at a low level. The non-carcinogenic and carcinogenic risks associated with OTA exposure were generally low and at controllable levels.

OBJECTIVE To establish a scientific， systematic， multi-dimensional performance management system for pharmacy practice， so as to improve the efficiency and quality of pharmacy practice performance management in public hospitals. METHODS Based on the four dimensions of the balanced scorecard theory， finance， customer， internal process， learning and growth， reference indicators for pharmacy practice performance management were summarized. The Delphi method was used to screen indicators， and the analytic hierarchy process was applied to determine the weights of indicators. A pharmacy practice performance management system was then constructed. Based on this system， action plans were formulated and implemented. The effectiveness was evaluated from two aspects： customer reviews and changes in pharmacy practice outcomes. RESULTS A total of 28 reference indicators were summarized， and a performance management system for pharmacy practice was constructed， consisting of 4 primary indicators， 9 secondary indicators， and 20 tertiary indicators. Compared with action plans implementation before， the satisfaction of clinical departments was significantly improved， and 11 pharmacy practice performance management indicators were optimized after implementation. CONCLUSIONS A scientific and systematic performance management system for pharmacy practice has been successfully established， which can provide a reference for the innovation of hospital pharmacy practice management and the high quality development of pharmacy practice.

In recent years, China has been facing the dual challenges of declining fertility rates and births, with male reproductive health issues, especially the decline in semen quality, identified as a pivotal contributor to this phenomenon. Meanwhile, accumulating evidence indicates that air pollutants, an increasingly severe environmental problem, can damage semen quality not only directly through their biological toxicity but also indirectly by disrupting the composition of microbial communities in the gut and semen, thereby dysregulating immune function, endocrine homeostasis, and oxidative stress responses. The gut microbiota and semen microbiota, as important components of the human microecosystem, play crucial roles in maintaining reproductive health. This article comprehensively reviewed the research progress on the potential effects of air pollutants (particulate matter and gaseous pollutants), gut microbiota, and semen microbiota on semen quality. Specifically, it elucidated the mechanisms of interaction between these factors and explored how they affect male fertility.

Background Deoxynivalenol (DON), a priority contaminant for food safety risk monitoring, is produced by Fusarium spp. infesting crops, and its common derivatives are 3-acetyl-DON (3A-DON) and 15-acetyl-DON (15A-DON), which have been shown to possess gastrointestinal toxicity, immunotoxicity, reproductive toxicity, and cytotoxicity. Due to the stable physicochemical properties of the DON family of toxins (DONs), they cannot be effectively removed during food processing, thus following the food chain, entering the human body, and posing health risks. Objective To understand the contamination status of DONs in commercial foods (cereals and bakery products) in Shanghai in 2022–2023, and to assess the exposure risk of DONs in pregnant women by combining their dietary consumption data. Methods Liquid chromatography tandem mass spectrometry (LC-MS/MS) was used to determine the contamination level of DONs in 1 100 food samples (cereals and baked goods) collected in 2022 and 944 samples collected in 2023 from Shanghai. The dietary monitoring data of pregnant women in Shanghai from 2016 to 2017 were adopted. The monitoring employed the food frequency questionnaire distributed among pregnant women through a combination of online telephone enquiry and offline on-site face-to-face survey to estimate their food consumption levels. An exposure assessment model was established to calculate the exposure level to DONs, and the probability distribution of the DONs exposure level in the pregnant women group in Shanghai was obtained by applying @Risk 7.5 software and simulating the calculation according to the Monte Carlo principle. With reference to the tolerable daily intake (TDI) of DONs [1.00 µg·(kg·d)⁻¹] proposed by the Joint FAO/WHO Expert Committee on Food Additives, the risk of exposure to DONs from commercial cereals and bakery products in pregnant women in Shanghai was assessed. Results DONs were detected in cereal and bakery samples collected in 2022 and 2023 with different levels of contamination. The level of DONs in cereal foods in 2023 (mean: 36.33 µg·kg⁻¹) decreased compared to 2022 (mean: 23.64 µg·kg⁻¹). However, the positive rate (71.67%) and level (mean: 51.22 µg·kg⁻¹) of DONs in bakery products increased significantly compared with 2022 (positive rate: 10.00%, mean: 24.39 µg·kg⁻¹). The mean consumption of cereals in 783 pregnant women was 222.48 g·d⁻¹ and the mean consumption of bakery products was 36.07 g·d⁻¹, and there was no statistically significant difference in the intake of all types of cereals and bakery products across the early, middle, and late stages of pregnancy. The modelled intakes of DONs via commercial cereals and bakery products for pregnant women in Shanghai were calculated to be 0.20 and 0.57 µg·(kg·d)⁻¹ in 2022 for the mean level and the 95th percentile level, respectively, and 0.16 µg·(kg·d)⁻¹ and 0.35 µg·(kg·d)⁻¹ in 2023, respectively. The results of the health risk assessment showed that pregnant women in Shanghai had 2.6% and 1.4% probability of exposure to DONs from cereal consumption in 2022 and 2023, respectively. Conclusion The risk of exposure of pregnant women in Shanghai to DONs via commercial cereals and bakery products is relatively low (1.4%-2.6%). However, considering the physical sensitivity of pregnant women, they should avoid consuming moldy grains and appropriately reduce intake of bakery products.

Non-small cell lung cancer(NSCLC)is one of the most common and deadly malignant tumors worldwide,with surgical resection being the primary treatment for early-stage NSCLC.Tumor spread through air spaces(STAS)is a novel pattern of tumor dissemination into the air spaces in the lung.Its occurrence after sublobar resection is closely associated with recurrence and distant metastasis,making its con-sideration a vital factor in surgical strategy selection and prognostic evaluation.Patients with STAS-positive status exhibit significantly higher postoperative recurrence rates than do STAS-negative patients,with molecular mechanisms involving tumor microenvironment remodeling,specific genetic mutations,and epithelial-mesenchymal transition(EMT).Imaging techniques including computed tomography(CT)and positron emission tomography/CT have shown potential for preoperative STAS prediction,although their accuracy and practicality require improvement.This paper reviews the definition,pathological characteristics,and related mechanisms of STAS,with a focus on surgical ap-proach selection for STAS-positive patients and its role in cancer recurrence after sublobar resection of early-stage NSCLC.Future research directions include optimization of preoperative diagnostic methods for STAS,exploration of molecular targeted therapies,and development of imaging-based precision prediction models.

OBJECTIVE To observe the effects of silicone oil removal detergent and multi-enzyme detergent on re-moving the residual silicone oil from digestive endoscopes so as to provide bases for clinical cleaning of digestive endoscopes.METHODS Totally 60 colonoscopes that were used in the endoscopy center of Shenzhen Hospital of Southern Medical University in Jul.2024 were chosen as the research subjects and were randomly divided in to the experimental group with 30 colonoscopes(the silicone-removing multi-enzyme detergent group)and the control group with 30 colonoscopes(the multi-enzyme detergent group),the two groups were respectively treated with sil-icone-removing multi-enzyme detergent and multi-enzyme detergent during the cleaning process.The average bac-terial colony counts of rinsed endoscopes,residual water droplet counts of the cleaned endoscopes and absorbance values of residual methyl silicone oil in the biopsy forceps channels of the endoscopes were observed and compared between the two groups so as to evaluate the effect on removing silicone oil.RESULTS The median average bacteri-al colony counts were 3.05(1.62,4.68)× 103 CFU/piece in the experimental group,36.70(34.66,38.10)× 103 CFU/piece in the control group(Z=-6.654,P＜0.001).The median counts of residual water droplets on the en-doscopes were 7.00(5.00,16.50)in the experimental group,31.50(12.00,43.00)in the control group(Z=-3.940,P＜0.001).The median absorbance value of residual methyl silicone oil in the biopsy forceps chan-nels of the endoscopes was 6.85(5.58,7.85)× 10-3 in the experimental group,36.50(35.50,43.65)× 10-3 in the control group(Z=-6.655,P＜0.001).CONCLUSION The silicone-removing multi-enzyme detergent shows more remarkable effect on removing the residual silicone oil on the endoscopes than the multi-enzyme detergent,it improves the cleaning effect of the endoscopes and is worthy to be verified and promoted in the hospital.

Objective:To explore the correlations between the monocytes/high-density lipoprotein ratio (MHR), alkaline phosphatase (ALP), and all-cause mortality in patients undergoing maintenance peritoneal dialysis (PD), and to provide references for clinical prevention and treatment strategies.Methods:A retrospective analysis was conducted on the clinical data of 336 PD patients who were treated in the Affiliated Hospital of Jining Medical University from June 2014 to August 2023. According to the survival status of the patients during the follow-up period, they were divided into the death group ( n=55) and the survival group ( n=281). The differences in clinical data, blood routine, laboratory biochemical indicators, monocyte count, high-density lipoprotein cholesterol, and ALP indicators between the two groups were collected and compared. Multivariate Cox regression analysis was used to screen the risk factors for all-cause mortality in PD patients, and Pearson correlation analysis was used to evaluate the correlation between the survival time of patients and related indicators. Results:In this study, there were 55 patients who died of all causes. The causes of death were cardiovascular events in 26 cases (47.27%), gastrointestinal bleeding in 3 cases (5.45%), infection in 7 cases (12.73%), multiple organ failure in 8 cases (14.55%), and unexplained death in 11 cases (20.00%). There was no statistically significant difference in gender, age, weight, serum parathyroid hormone (PTH), and total cholesterol (TC) between the death group and the survival group (all P>0.05). The treatment time, neutrophil count, red blood cell volume distribution width (RDW), ALP, blood uric acid (UA), blood calcium, MHR and creatinine in the death group were all higher than those in the survival group (all P<0.05), while the lymphocyte count was lower than that in the survival group ( P<0.05). The Cox risk model showed that MHR, ALP, treatment duration, neutrophil count, lymphocyte count, RDW, UA, and creatinine were independent risk factors for all-cause mortality in PD patients ( OR=1.578, 2.881, 1.021, 1.122, 1.476, 2.231, 1.018, 1.008, all P<0.05); Pearson correlation analysis revealed that the survival time of PD patients was negatively correlated with MHR and ALP ( r=-0.305, -0.246, all P<0.05). Conclusions:The levels of MHR and ALP are closely related to the risk of all-cause mortality in PD patients and are independent risk factors for all-cause mortality in patients.

Objective To investigate the mechanisms by which paeoniflorin improves tissue and cell damage caused by diabetic retinopathy(DR)through the hypoxia-induced factor-1α(HIF-1α)pathway.Methods Thirty rats were ran-domly divided into a control group(10 normal rats),a DR group(10 diabetic model rats)and a paeoniflorin group(10 dia-betic model rats given 80 mg·kg-1 paeoniflorin by gavage).Rat retinal microvascular endothelial cells(rRMECs)were di-vided into a control group(cultured with 5 mmol·L-1 glucose),a high glucose group(cultured with 30 mmol·L-1 glu-cose)and a paeoniflorin group(cultured with 30 mmol·L-1 glucose and 20 mol·L-1 paeoniflorin).The three groups of cells were all cultured for 24 h.Fasting blood glucose was measured by a glucose meter.Hematoxylin and eosin(HE)stai-ning was used to detect the retinal histopathological structure.The levels of HIF-1α and vascular endothelial growth factor(VEGF)proteins and mRNAs in retinal tissues and rRMECs were detected by Western blotting and real time quantitative polymerase chain reaction(RT-qPCR).The proliferative ability of rRMECs was detected by the EdU kit.The serum levels of total cholesterol(TC),triglyceride(TG),low density cholesterol(LDL-C),interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α)in retinal tissues and rRMECs were detected by kits.The activity and invasive ability of rRMECs were measured by CCK-8 and Transwell assay,respectively.The levels of HIF-1α and VEGF proteins in rRMECs were detected by immunofluorescence staining.Results Compared with those in the DR group,the fasting blood glucose,TC,TG and LDL-C levels in the paeoniflorin group were significantly decreased(all P＜0.05).The retinal tissue was loose with an un-clear boundary in the DR group,compared with that in the control group.The retinal tissue in the paeoniflorin group was less loose with a clearer boundary than that in the DR group.The levels of HIF-1α and VEGF proteins and mRNAs,TNF-αand IL-6 in retinal tissues of the DR group were significantly higher than those of the control group(all P＜0.05).The lev-els of HIF-1α and VEGF proteins and mRNAs,TNF-α and IL-6 in retinal tissues of the paeoniflorin group were significantly lower than those in the DR group(all P＜0.05).The activity,proliferation and invasive abilities of rRMECs in the high glu-cose group were higher than those in the control group(all P＜0.05).Compared with those in the high glucose group,rRMECs in the paeoniflorin group showed decreased cell activity,proliferation and invasive abilities(all P＜0.05).The lev-els of HIF-1α and VEGF proteins and mRNAs,TNF-α and IL-6 in the rRMECs of the high glucose group were higher than those of the control group(all P＜0.05).The levels of HIF-1α and VEGF proteins and mRNAs,TNF-α and IL-6 in the rRMECs of the paeoniflorin group were lower than those of the high glucose group(all P＜0.05).Conclusion Paeoni-florin can down-regulate the HIF-1α/VEGF pathway to improve the inflammatory injury of the retinal tissue and inhibit rRMEC activity,proliferation and invasive abilities in DR rats,thereby preventing angiogenesis and reducing the incidence of DR.