Objective: To investigate the preventive and reparative mechanisms of platelet-rich plasma-biodegradable quick setting spray (PRP-BQSS) on solar dermatitis, thereby providing a safe and effective novel therapeutic approach for clinical application. Methods: PRP-BQSS was prepared. A ultraviolet B (UVB)-induced solar dermatitismodel was established in SPF-grade male SD rats. The rats were divided into the prevention experiment (treated with PRP-BQSS, L' Oréal SPF 50+sunscreen, Nature's Hall SPF 50+sunscreen, or saline) and the treatment experiment (treated with PRP-BQSS, Jingwanhong ointment, Green ointment, or saline). The effects were evaluated by measuring epidermal thickness (HE staining) and quantifying the integrated optical density (IOD) of inflammatory cells (CD11b staining). One-way ANOVA and Tukey's HSD test were performed using GraphPad Prism 9.4.0. Results: The PRP-BQSS exhibited significant efficacy in both prevention and repair. In the prevention experiment, the PRP-BQSS prevention group (Group A) showed only mild pale red erythema on the dorsal skin of rats, without significant swelling or desquamation. Histological analysis revealed that epidermal thickness in Group A (36.55±6.58 μm) was comparable to Groups B (L' Oréal, 34.84±6.59 μm) and C (Natural Hall, 34.59±8.20 μm)(P>0.05), but significantly lower than that in Group D (control group, 47.82±11.69 μm). Skin sections from Group A demonstrated intact epidermal structure with clear stratification and no significant inflammatory cell infiltration. The CD11b-positive cell count (24.30±7.43) was significantly lower than that in Group D (33.65±8.47, P<0.05). In the treatment experiment, HE staining of Group A (PRP-BQSS treatment group) showed intact epidermal structure with orderly arrangement of the basal layer, spinous layer, and granular layer, thin and uniform stratum corneum, and regular collagen fiber arrangement. The epidermal thickness of Group A (37.10±6.41 μm) showed no significant difference from Groups B (Jingwanhong ointment group, 38.66±9.07 μm) or C (Green ointment group, 35.72±4.98 μm)(P>0.05), but was significantly lower than that in Group D (control group, 48.35±8.99 μm)(P<0.05). The integral optical density value of CD11b-positive cells in Group A (32.82±11.01) was significantly lower than that in Group D (47.25±13.52, P>0.05). Moreover, the degree of inflammatory infiltration in Group A was relatively lower compared to Group B (37.14±9.20) and Group C (34.32±16.87), suggesting a superior repair capacity. However, the intergroup differences were not statistically significant (P>0.05). Conclusion: PRP-BQSS hydrogel dressing possesses dual preventive and reparative functions. It exerts its effects by reducing CD11b-positive cell infiltration (inflammation suppression) and promoting the orderly arrangement of the basal layer-epidermal layer-granular layer (epidermal reconstruction). This material holds promise as a novel and effective therapeutic approach for the prevention and treatment of solar dermatitis, particularly suitable for high-risk populations such as children, individuals with sensitive skin, and those engaged in outdoor activities.

Objective: To investigate the clinical efficacy of autologous platelet-rich plasma (PRP) combined with endoscopy and interventional embolization in treating refractory gastric ulcer hemorrhage in critically ill patients with systemic diseases (sepsis, uremia), and to provide a novel therapeutic option for cases failing conventional treatments. Methods: A case of a 60-year-old male patient with sepsis and uremia complicated by gastric antral ulcer (Forrest Ib) with active bleeding was reported. Autologous venous blood was collected, and PRP was prepared via a two-step centrifugation method. PRP was sprayed endoscopically followed by local injection, and then covered with a thrombin-calcium ion activator to form a gel layer. Initial treatment was performed, followed by consolidation therapy seven days later, along with selective gastroduodenal artery embolization. Results: Hemorrhage was controlled within 24 hours after the initial PRP treatment. Hemoglobin (Hb) increased from 49 g/L to 56 g/L, and coagulation function improved [activated partial thromboplastin time (APTT) decreased from>170 s to 85 s]. A stable coagulum formed on the ulcer surface after the second PRP treatment on day 7. At the 4-week follow-up endoscopic assessment, the ulcer had shrunk to approximately 0.8×1.0 cm, Hb had risen to 92 g/L, and no rebleeding occurred. Conclusion: PRP, acting through mechanical tamponade by a physical barrier and sustained release of growth factors, serves as an effective supplementary treatment for refractory gastric ulcer bleeding, offering dual mechanisms of immediate hemostasis and promotion of mucosal repair. Combining PRP with interventional embolization and multidisciplinary collaboration can further enhance efficacy and may have potential for broader application.

Gastric cancer with peritoneal metastasis (GCPM) is a common and lethal manifestation of advanced gastric cancer, with a median survival of only 5-11 months. This consensus was developed by 30 experts from Asia (China, Japan, Korea, and Singapore) using the Delphi method and the GRADE evidence grading system. A total of 29 statements were formulated, covering the diagnosis and assessment of GCPM, indications for laparoscopic exploration and NIPS (normothermic intraperitoneal and systemic treatment), treatment regimens, prevention and management of complications, criteria for conversion surgery, and postoperative intraperitoneal therapy. The consensus aims to standardize clinical practice and improve the prognosis of patients with GCPM.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Objective:To evaluate the effectiveness of splenic circulation control technology in minimally invasive radical resection surgery for pancreatic neck/body cancer.Methods:This is a retrospective case series study. Retrospective analysis of clinical data of 12 patients who underwent laparoscopic or robotic radical resection for pancreatic neck/body cancer at the Department of Gastrointestinal and Pancreatic Surgery,Zhejiang Provincial People′s Hospital between January 2024 and January 2025. There were 7 males and 5 females,with mean age of 68 years (range: 52 to 79 years). Clinical data including preoperative,intra-operative and postoperative outcomes were analyzed. Postoperative follow-up was conducted via outpatient visits and telephone interviews,with the follow-up ending on April 1,2025.Results:All 12 patients underwent minimally invasive radical resection of pancreatic neck/body cancer using splenic circulation control technology,consisted of 3 laparoscopic and 9 robotic procedures. The mean operative time was 185 minutes (range: 140 to 315 minutes),and the average blood loss was 100 ml (range: 30 to 300 ml). Two cases involved combined organ resection.There was no conversion to open surgery. Postoperative complications were observed in 2 patients. One patient developed grade B pancreatic leakage,managed by ultrasound-guided puncture.The patient was discharged with drainage tube. The other patient experienced chylous leakage,recovered with conservative treatment. No delayed gastric emptying,hemorrhage or reoperations were observed. The median postoperative hospital stay was 13 days (range: 8 to 20 days).Conclusion:The splenic circulation control technique is simple and safe,and shows certain application prospects in minimally invasive radical resection of pancreatic neck and body cancer.

Objective To explore the influencing factors of cognitive impairment in non-dialysis patients with chronic kidney disease(CKD).Methods A total of 60 hospitalized non-dialysis patients with CKD in the Department of Nephrology of Northern Jiangsu People's Hospital Affiliated to Yangzhou University from September 2022 to September 2023 were enrolled as research objects.According to the estimated glomerular filtration rate(eGFR),they were divided into stage 1 to 2 of CKD group[eGFR ≥60 mL/(min·1.73 m2)]with 23 cases,the stage 3 of CKD group[eGFR 30～＜60 mL/(min·1.73 m2)]with 20 cases,and stage 4 to 5 of CKD group[eGFR＜30 mL/(min·1.73 m2)]with 17 cases.The Montreal Cognitive Assessment Scale(MoCA)was used to evaluate the cognitive function of the patients.Basic data and common clinical laboratory in-dicators on hospital admission were collected to analyze the differences in cognitive function levels under different renal function statuses and to explore the influencing factors of cognitive impairment.Results The incidence rates of cognitive impairment in the stage 1 to 2 of CKD group,stage 3 of CKD group,and stage 4 to 5 of CKD group were 47.8％,85.0％,and 94.1％respectively,the median MoCA scored 26,24 and 20 respectively,with statistically significant between-group differ-ences(P＜0.05).Cognitive function was significantly negatively correlated with age(r=-0.634,P＜0.001),blood urea nitrogen(BUN)(r=-0.574,P＜0.001),serum creatinine(Cr)(r=-0.417,P＜0.001),cystatin C(Cys-C)(r=-0.327,P=0.011),serum β2-microglobulin(β2-MG)(r=-0.259,P=0.046),and N-terminal pro-brain natriuretic peptide(NT-proBNP)(r=-0.474,P＜0.001),and was significantly positively correlated with hemoglobin(HB)(r=0.401,P=0.001)and eGFR(r=0.485,P＜0.001).Multivariate Logistic regression analysis showed that age(P=0.006)and NT-proBNP(P=0.041)were influencing factors of cognitive im-pairment in non-dialysis patients with CKD.Receiver operating characteristic(ROC)curve analysis showed that the area under the curve(AUC),sensitivity,and specificity of age for prediction were 0.860,0.864 and 0.812 respectively,the AUC,sensitivity,and specificity of NT-proBNP for pre-diction were 0.808,0.795 and 0.875 respectively,and the combined prediction of age and NT-proBNP had an AUC,sensitivity,and specificity of 0.893,0.955,and 0.750,respectively.Conclusion As renal function deteriorates,the incidence rate and severity of cognitive impairment in non-dialysis patients with CKD tend to increase.Advanced age,renal function deterioration,high NT-proBNP level,and anemia are associated with the occurrence of cognitive impairment in non-di-alysis patients with CKD,among which age and NT-proBNP are influencing factors for cognitive im-pairment.

Objective To investigate the effect of Atractylenolide Ⅰ(AtraⅠ)on chronic colitis rats by regulation of cyclic adenosine monophosphate(cAMP)/protein kinase A(PKA)/cAMP response binding protein(CREB)pathway.Methods Rats were randomly divided into control group,chronic colitis model group[model,free feeding with 2%dextran sulfate sodium(DSS)followed by 7 days of conventional drinking water alternatively for 42 days],AtraⅠ low(AtraⅠ-L,8.33 mg/kg AtraⅠ)and high(AtraⅠ-H,33.32 mg/kg AtraⅠ)intervention model group,positive drug(mesalazine)group(150 mg/kg mesalazine)and high concentration of AtraⅠ+cAMP inhibitor(SQ22536)group(33.32 mg/kg AtraⅠ+2.13 mg/kg SQ22536),18 rats in each group.Disease activi-ty index(DAI)and colon length were measured.HE staining was applied to detect pathological changes in colon tissue.Immunohistochemical staining was applied to detect the expression of zonula occluden-1(ZO-1)and mucin 2(MUC2)in colon tissue.ELISA was applied to detect level of tumor necrosis factor-α(TNF-α),interleukin-6(IL-6),IL-10 and cAMP in colon tissue.Western blot was applied to detect p-PKA and p-CREB proteins in colon tissue.Results Compared with the control group,the colon wall of the model group was edema and thickened,the number of inflammatory cell infiltration was increased,the colon length was shortened.DAI score and TNF-α and IL-6 level in the colon tissue were increased.The positive expression of MUC2 and ZO-1,the level of IL-10 and the protein of cAMP,p-PKA and p-CREB in colon tissues were decreased(P＜0.05).Compared with model group,the pathological damage of colon tissue in AtraⅠ-L group,AtraⅠ-H group,and mesalazine group was alleviated,the colon length increased,the DAI score reduced,level of TNF-α and IL-6 in colon tissue reduced and the posi-tive expression of MUC2 and ZO-1,level of IL-10,and cAMP,p-PKA,and p-CREB proteins in colon tissue were all elevated(P＜0.05).SQ22536 attenuated the improvement effect of AtraⅠ-H on intestinal mucosal barrier func-tion and the inhibitory effect on inflammatory response in rats with chronic colitis.Conclusions AtraⅠ improves intestinal mucosal barrier function and inhibits inflammation in rats with chronic colitis,and its mechanism may be related to the upregulation of the cAMP/PKA/CREB pathway.

A method for simultaneous determination of 21 kinds of Aconitum alkaloids(ATS)in biological specimens and infused liquor using ultra-performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS)was developed.The biological samples were pretreated with methanol-acetonitrile(1∶2,V/V)for protein precipitation,while infused liquors were diluted 100-fold with acetonitrile,followed by centrifugation,and filtration by a 0.22-μm membrane.Chromatographic separation was carried out on an EC-C18 column using gradient elution with the mixture of 10 mmol/L ammonium acetate and 0.2%formic acid as mobile phase A and acetonitrile as mobile phase B.With this method,all the analytes were separated within 9.5 min.The samples were detected in positive ESI mode with dynamic multiple reaction monitoring(MRM)and quantified via external standard calibration.The results showed that the concentrations of the analytes in the range of 2-1000 ng/mL had excellent linearity(R2>0.9992)with the peak area.The developed method was successfully used for detection of 21 kinds of aconitum alkaloids,with limits of detection of 0.5-2 ng/mL,quantification limits of 2-6 ng/mL,intra/inter-day precision≤6.0%,spiked recoveries of 89.4%-100.9%,extraction recoveries of 74.2%-104.4%,and matrix effects ranging from-11.1%to 9.2%in blood/urine.The method was applied to detection of 12 samples from 4 fatal aconite poisoning cases,and all 21 kinds of ATS with total alkaloid concentrations of 0.04-4.18 μg/mL in blood and 154.96-422.83 μg/mL in medicinal liquors were detected.Tissue distribution revealed that the order of concentrations from highest to lowest is as follows:urine(157.22 μg/mL)>gastric contents(51.37 μg/mL)>kidney(21.6 μg/g)>whole blood(4.18 μg/mL)>liver(0.03 μg/g).This method showed many advantages such as simple pretreatment,low detection limits,accurate quantification,broad analyte coverage,and superior anti-interference capability in complex matrices,proving ideal for forensic and toxicological analysis of aconitum alkaloids.

Natural product-based drug combinations (NPDCs) present distinctive advantages in treating complex diseases. While high-throughput screening (HTS) and conventional computational methods have partially accelerated synergistic drug combination discovery, their applications remain constrained by experimental data fragmentation, high costs, and extensive combinatorial space. Recent developments in artificial intelligence (AI), encompassing traditional machine learning and deep learning algorithms, have been extensively applied in NPDC identification. Through the integration of multi-source heterogeneous data and autonomous feature extraction, prediction accuracy has markedly improved, offering a robust technical approach for novel NPDC discovery. This review comprehensively examines recent advances in AI-driven NPDC prediction, presents relevant data resources and algorithmic frameworks, and evaluates current limitations and future prospects. AI methodologies are anticipated to substantially expedite NPDC discovery and inform experimental validation.
Artificial Intelligence ; Biological Products/chemistry* ; Humans ; Drug Combinations ; Drug Discovery/methods* ; Machine Learning ; Algorithms

Objective:To investigate the longitudinal relationship between self-esteem and hope of adolescents and to explore gender differences.Methods:A total of 1 982 adolescents,aged 11 to 24,participated in a l-year lon-gitudinal study with 3 waves of assessments(T1,baseline time;T2,6 months later;T3,1 year later).The Self-Es-teem Scale(SES)and the Children's Hope Scale(CHS)were used to measure levels of self-esteem and hope.The data were analyzed using a cross-lagged panel model and multi-group structural equation modeling.Results:Across the three measurement waves,the self-esteem scores were positively correlated with the hope scores(r=0.40-0.67).Results from the cross-lagged analysis indicated a bidirectional predictive relationship between the self-es-teem scores and hope scores over the year(β=0.09-0.22).The results of multi-group analysis showed significant gender differences in the autoregressive path of self-esteem in the three measures(Waldx2=3.78-3.84).Conclu-sion:Adolescents' self-esteem and hope exhibit a bidirectional predictive relationship,with no significant gender differences in the cross-lagged paths.