Objective:To investigate the survival outcomes and prognostic factors in patients undergoing radical resection for pancreatic body and tail cancer.Methods:A retrospective case series study was conducted on 992 patients who underwent radical resection for pancreatic body and tail cancer at the Pancreatic Center of the First Affiliated Hospital of Nanjing Medical University from January 2016 to June 2024. In this study, 577 (58.2%) were male and 415 (41.8%) were female,with an age of (65±9) years (range: 26 to 86 years). Follow-up continued until June 2024. Survival rates were estimated using the Kaplan-Meier method,and prognostic factors were identified using univariate and multivariate Cox proportional hazards models.Results:Among 992 patients,open surgery was the predominant approach (89.1%, 884/992), and radical antegrade modular pancreatosplenectomy (RAMPS) was performed in 317 patients (32.0%). Combined organ resection,venous resection,and arterial resection were performed in 23.5%, 9.3%,and 11.2% of patients,respectively. The rates of R0, R1-1 mm, and R1-direct resections were 49.8% (494/992),41.5% (412/992), and 8.7% (86/992),respectively. Stage ⅡB was the most common TNM stage (32.2%,319/992). A total of 801 patients (80.8%) received adjuvant chemotherapy. The median follow-up period was 32.0(8.8) months(range:3.2 to 105.3 months),during which 508 patients (51.2%) died. The overall median survival (OS) was 26.4 months,with 1-,3-, and 5-year survival rates of 79.0%,40.0%, and 29.0%, respectively. In the recent five years (from 2020 to 2024), the median OS improved significantly to 34.1 months compared to 20.0 months from 2016 to 2019 ( P<0.01). Histological subtype analysis showed that the median OS time was 26.7 months for pancreatic ductal adenocarcinoma (PDAC, n=855),58.9 months for invasive intraductal papillary mucinous carcinoma (IPMC, n=32),and 15.7 months for adenosquamous carcinoma of pancreas (ASCP, n=73) ( P=0.001). Among PDAC patients, adjuvant chemotherapy significantly improved survival (29.1 months vs. 14.4 months, P<0.01);in IPMC patients, adjuvant chemotherapy also extended survival (65.7 months vs. 58.9 months, P=0.047). Although ASCP patients receiving chemotherapy had a longer median OS time than those without (18.8 months vs. 8.9 months),the difference was not statistically significant ( P=0.151). Multivariate Cox regression analysis in PDAC patients indicated that adjuvant chemotherapy, R0 resection, T stage,N stage,and tumor differentiation were independent prognostic factors ( P<0.01). The median OS time by TNM stage was:not reached for stage ⅠA, 51.6 months for ⅠB, 25.5 months for ⅡA, 23.7 months for ⅡB, 23.0 months for Ⅲ, and 14.4 months for Ⅳ. The median OS time for R0,R1-1 mm,and R1-direct resections was 34.1,24.7,and 15.7 months,respectively ( P<0.01). Conclusion:Adjuvant chemotherapy,R0 resection,tumor stage,and differentiation are independent prognostic factors for pancreatic body and tail cancer.

Objective:To investigate the survival outcomes and prognostic factors in patients undergoing radical resection for pancreatic body and tail cancer.Methods:A retrospective case series study was conducted on 992 patients who underwent radical resection for pancreatic body and tail cancer at the Pancreatic Center of the First Affiliated Hospital of Nanjing Medical University from January 2016 to June 2024. In this study, 577 (58.2%) were male and 415 (41.8%) were female,with an age of (65±9) years (range: 26 to 86 years). Follow-up continued until June 2024. Survival rates were estimated using the Kaplan-Meier method,and prognostic factors were identified using univariate and multivariate Cox proportional hazards models.Results:Among 992 patients,open surgery was the predominant approach (89.1%, 884/992), and radical antegrade modular pancreatosplenectomy (RAMPS) was performed in 317 patients (32.0%). Combined organ resection,venous resection,and arterial resection were performed in 23.5%, 9.3%,and 11.2% of patients,respectively. The rates of R0, R1-1 mm, and R1-direct resections were 49.8% (494/992),41.5% (412/992), and 8.7% (86/992),respectively. Stage ⅡB was the most common TNM stage (32.2%,319/992). A total of 801 patients (80.8%) received adjuvant chemotherapy. The median follow-up period was 32.0(8.8) months(range:3.2 to 105.3 months),during which 508 patients (51.2%) died. The overall median survival (OS) was 26.4 months,with 1-,3-, and 5-year survival rates of 79.0%,40.0%, and 29.0%, respectively. In the recent five years (from 2020 to 2024), the median OS improved significantly to 34.1 months compared to 20.0 months from 2016 to 2019 ( P<0.01). Histological subtype analysis showed that the median OS time was 26.7 months for pancreatic ductal adenocarcinoma (PDAC, n=855),58.9 months for invasive intraductal papillary mucinous carcinoma (IPMC, n=32),and 15.7 months for adenosquamous carcinoma of pancreas (ASCP, n=73) ( P=0.001). Among PDAC patients, adjuvant chemotherapy significantly improved survival (29.1 months vs. 14.4 months, P<0.01);in IPMC patients, adjuvant chemotherapy also extended survival (65.7 months vs. 58.9 months, P=0.047). Although ASCP patients receiving chemotherapy had a longer median OS time than those without (18.8 months vs. 8.9 months),the difference was not statistically significant ( P=0.151). Multivariate Cox regression analysis in PDAC patients indicated that adjuvant chemotherapy, R0 resection, T stage,N stage,and tumor differentiation were independent prognostic factors ( P<0.01). The median OS time by TNM stage was:not reached for stage ⅠA, 51.6 months for ⅠB, 25.5 months for ⅡA, 23.7 months for ⅡB, 23.0 months for Ⅲ, and 14.4 months for Ⅳ. The median OS time for R0,R1-1 mm,and R1-direct resections was 34.1,24.7,and 15.7 months,respectively ( P<0.01). Conclusion:Adjuvant chemotherapy,R0 resection,tumor stage,and differentiation are independent prognostic factors for pancreatic body and tail cancer.

Objective: To evaluate the intervention effect of school based salt reduction health education, so as to provide a scientific basis for constructing a more effective and sustainable salt reduction intervention model for children. Methods: According to a randomized controlled trial design, in June 2022, probability proportional to size sampling was used to select 501 second grade students (248 in the control group and 253 in the intervention group) from 10 primary schools in Zhenjiang (intervention group) and 10 primary schools in Yangzhou (control group), Jiangsu Province. An one year school based salt reduction health education intervention was implemented. This included 20 online and 8 offline health education sessions, monitoring of salt consumption in the canteen, and the establishment of a salt reduction environment on campus. The control group received no additional salt reduction interventions. A questionnaire survey and 24 hour urinary sodium test were conducted before and after the intervention. The difference in differences method was used to evaluate the intervention effect. Results: After the intervention, the intervention group showed significant net intervention effects in knowledge aspects, including knowing that primary school students consume less salt than adults ( OR=3.55,95%CI =1.69-7.47), daily salt intake of primary school students ( OR=6.64,95%CI =3.71-11.87), long term high salt intake leading to hypertension ( OR=6.83,95%CI =3.93-11.91), low salt intake not causing hair graying ( OR= 1.66 ,95%CI =1.00-2.75), salt content in food labels ( OR=4.56,95%CI =2.63-7.91), and common high salt foods ( OR=3.39,95%CI =1.87-6.14) (all P <0.05). In terms of attitude, the net intervention effect for having a positive attitude toward using less salt in home cooking was significantly increased ( OR=1.88,95%CI =1.13-3.12, P <0.05). There were no statistically significant net intervention effects for salt reduction related behaviors (all P >0.05). There was no statistically significant difference in the changes of 24 hour urinary sodium between the intervention group and the control group before and after intervention ( P >0.05). Conclusions School based salt reduction health education effectively improves students salt reduction knowledge and attitudes but has a limited effect on behavior change. The home-school collaboration should be strengthened, and the dietary environment should be optimized simultaneously.

ObjectiveTo investigate the protective effect of magnolol ester derivative YW against cisplatin （Cis）-induced acute kidney injury （AKI） and to explore its effect and preliminary mechanisms on Cis-induced AKI. MethodsThe research group designed and synthesized the magnolol ester derivative YW using magnolol as the parent core. Molecular docking was employed to predict the binding interaction between YW and lysine acetyltransferase 7 （KAT7）. A Cis-induced AKI model was established in C57BL/6J mice. Mice were divided into the normal control group， model group， YW low/medium/high dose groups （17.5， 35， 70 mg/kg）， and the positive control amifostine group. Renal function was assessed by measuring serum creatinine （Scr） and blood urea nitrogen （BUN） levels. Pathological changes were evaluated via HE staining and scoring of kidney tissues. Protein expression levels of kidney injury molecule 1 （KIM-1）， lysine acetyltransferase 7 （KAT7）， and cyclin-dependent kinase inhibitor 1A （p21） in kidney tissues were detected by Western blot （WB）. HK-2 cells were treated with different concentrations of YW； cell viability was measured by CCK-8 assay. WB was used to detect the expression levels of the renal injury marker KIM-1， KAT7， and its downstream protein p21. Cellular senescence was assessed by senescence-associated β-galactosidase （SA-β-Gal） staining. ResultsYW could stably bind to KAT7. In vivo experiments showed that， compared with the model group， all YW dose groups， especially the medium and high doses， significantly reduced the elevated levels of Scr and BUN in AKI mice （P<0.001） and effectively ameliorated renal histopathological damage. YW significantly downregulated the protein expression levels of KIM-1， KAT7， and p21 in kidney tissues （P<0.05）. Concentrations of YW≤10 μmol/L had no significant effect on HK-2 cell viability. YW inhibited the Cis-induced decline in HK-2 cell viability （P<0.05）， suppressed the Cis-induced upregulation of KIM-1， KAT7， and p21 proteins （P<0.05）， and significantly decreased the percentage of SA-β-Gal-positive cells （P<0.01）. ConclusionYW suppresses the expression of KAT7 and p21 proteins and inhibits the decline in HK-2 cell viability in cisplatin-induced AKI， significantly mitigates HK-2 cell senescence， and improves renal function， providing preliminary experimental evidence for developing AKI treatment strategies based on structural optimization of natural products.

ObjectiveTo investigate the efficacy and safety of porcine large intestine-processed Dahuang Pill （肠制大黄丸） in the treatment of type 2 diabetes mellitus （T2DM） complicated by chronic constipation. MethodsA total of 80 patients with T2DM complicated by chronic constipation were enrolled and randomly divided into a control group and a treatment group， with 40 cases in each group. All patients received routine basic treatment. The control group was treated with oral lactulose solution 10 ml once daily， while the treatment group was administered with oral porcine large intestine-processed Dahuang Pill 3 g once daily. The treatment course was 4 weeks for both groups. The primary outcome was the score of the Wexner Constipation Scale score. The secondary outcomes included fasting blood glucose （FBG）， 2-hour postprandial blood glucose （2 hPG）， glycated hemoglobin A1c （HbA1c）， Patient Assessment of Constipation Quality of Life （PAC-QOL） score， traditional Chinese medicine （TCM） syndrome score， and clinical effective rate before and after treatment. TCM syndrome efficacy was evaluated in both groups after treatment， and safety was assessed simultaneously. ResultsSeventy-five subjects completed the study， including 37 in the treatment group and 38 in the control group. After treatment， the Wexner Constipation Scale score， FBG， 2 hPG， HbA1c， PAC-QOL score and TCM syndrome score all significantly decreased in both groups （P＜0.01）. In intergroup comparison， the treatment group showed significantly superior improvements in the Wexner Constipation Scale score， FBG， HbA1c， PAC-QOL score and TCM syndrome score relative to the control group （P＜0.05 or P＜0.01）. No significant difference in 2 hPG was observed between groups （P＞0.05）. The total clinical effective rate of TCM syndrome efficacy was 91.89%（34/37）in the treatment group， which was higher than 63.16%（24/38） in the control group. No adverse events occurred in either group， and all safety indicators were within the normal range. ConclusionPorcine large intestine-processed Dahuang Pill can effectively relieve clinical symptoms， synergistically improve glucose metabolism and quality of life in patients with T2DM complicated by chronic constipation， which possesses good clinical safety.

Tumor treatment-related adverse reactions are a major focus of clinical concern， among which recurrent aphthous oral ulcers （RAU） associated with targeted therapy for lung cancer （LC） are among the most painful and distressing for patients. Currently， modern medical interventions show limited efficacy， and there is an urgent need for more effective treatment strategies. This study differentiates RAU associated with targeted therapy for LC from chemotherapy-related and ordinary oral ulcers， elucidates the pathophysiological basis of such ulcers， and traces the theoretical origin of "Yin deficiency and Qi collapse". Based on the new system of "five perspectives on diagnosis and treatment" for tumor prevention and treatment， with a focus on the core and symptom perspectives and rooted in the traditional concept of "lung dominating Qi"， we innovatively propose the concept of "medicine-induced ulcer" and are the first to introduce the theory of "Yin deficiency and Qi collapse" into the syndrome differentiation and treatment of RAU associated with targeted therapy for LC （i.e.， medicine-induced ulcer）. We propose that "Yin deficiency and Qi collapse" is the core pathogenesis of medicine-induced ulcers， in which the collapse of formless Qi is the key to their onset， while the deficiency and stasis of tangible Yin and blood constitute the root of recurrence. A hierarchical strategy for syndrome differentiation and treatment is established： first treating the collapse of formless Qi， then replenishing tangible deficiencies， and concurrently preventing recurrence. We emphasize that treatment should address both root and manifestation， with appropriate prioritization. In the acute phase， while relieving symptoms and promoting ulcer healing by nourishing Qi， uplifting collapse， and generating body fluids， attention should also be paid to nourishing spleen Yin， facilitating the circulation of nutritive Qi， and alleviating stasis to target the root pathogenesis and reduce recurrence. A verified case is presented to support this approach. This study enriches the theoretical framework and clinical methods of traditional Chinese medicine （TCM） in the treatment of RAU associated with targeted therapy for LC， promotes symptom management of treatment-related adverse reactions through integrated TCM and Western medicine， and provides theoretical support for the construction and development of a comprehensive differentiation and treatment system for lung cancer prevention， treatment， and rehabilitation.

In recent years, the application of artificial intelligence (AI) in the field of biology has witnessed remarkable advancements. Among these, the most notable achievements have emerged in the domain of protein structure prediction and design, with AlphaFold and related innovations earning the 2024 Nobel Prize in Chemistry. These breakthroughs have transformed our ability to understand protein folding and molecular interactions, marking a pivotal milestone in computational biology. Looking ahead, it is foreseeable that the accurate prediction of various physicochemical properties of proteins—beyond static structure—will become the next critical frontier in this rapidly evolving field. One of the most important protein properties is thermodynamic stability, which refers to a protein’s ability to maintain its native conformation under physiological or stress conditions. Accurate prediction of protein stability, especially upon single-point mutations, plays a vital role in numerous scientific and industrial domains. These include understanding the molecular basis of disease, rational drug design, development of therapeutic proteins, design of more robust industrial enzymes, and engineering of biosensors. Consequently, the ability to reliably forecast the stability changes caused by mutations has broad and transformative implications across biomedical and biotechnological applications. Historically, protein stability was assessed via experimental methods such as differential scanning calorimetry (DSC) and circular dichroism (CD), which, while precise, are time-consuming and resource-intensive. This prompted the development of computational approaches, including empirical energy functions and physics-based simulations. However, these traditional models often fall short in capturing the complex, high-dimensional nature of protein conformational landscapes and mutational effects. Recent advances in machine learning (ML) have significantly improved predictive performance in this area. Early ML models used handcrafted features derived from sequence and structure, whereas modern deep learning models leverage massive datasets and learn representations directly from data. Deep neural networks (DNNs), graph neural networks (GNNs), and attention-based architectures such as transformers have shown particular promise. GNNs, in particular, excel at modeling spatial and topological relationships in molecular structures, making them well-suited for protein modeling tasks. Furthermore, attention mechanisms enable models to dynamically weigh the contribution of specific residues or regions, capturing long-range interactions and allosteric effects. Nevertheless, several key challenges remain. These include the imbalance and scarcity of high-quality experimental datasets, particularly for rare or functionally significant mutations, which can lead to biased or overfitted models. Additionally, the inherently dynamic nature of proteins—their conformational flexibility and context-dependent behavior—is difficult to encode in static structural representations. Current models often rely on a single structure or average conformation, which may overlook important aspects of stability modulation. Efforts are ongoing to incorporate multi-conformational ensembles, molecular dynamics simulations, and physics-informed learning frameworks into predictive models. This paper presents a comprehensive review of the evolution of protein thermodynamic stability prediction techniques, with emphasis on the recent progress enabled by machine learning. It highlights representative datasets, modeling strategies, evaluation benchmarks, and the integration of structural and biochemical features. The aim is to provide researchers with a structured and up-to-date reference, guiding the development of more robust, generalizable, and interpretable models for predicting protein stability changes upon mutation. As the field moves forward, the synergy between data-driven AI methods and domain-specific biological knowledge will be key to unlocking deeper understanding and broader applications of protein engineering.

The chemical constituents of the petroleum ether extract derived from the 90% ethanol extract of Elephantopus scaber were investigated. By silica gel column chromatography, C_(18), MCI column chromatography and semi-preparative high performance liquid chromatography, ten compounds were isolated. Their structures were identified as 3β-hydroxy-6β,7β-epoxytaraxeran-14-ene(1), 3β-hydroxyolean-12-en-28-oic acid(2), D-friedoolean-14-ene-3β,7α-diol(3), 3β-hydroxy-11α-methoxyolean-12-ene(4), 3β-hydroxyolean-11,13(18)-diene(5), 11α-hydroxy-β-amyrin(6), betulinic acid(7), 3β-hydroxy-30-norlupan-20-one(8), 6-acetonylchelerythrine(9), and 4',5'-dehydrodiodictyonema A(10) by analysis of the 1D NMR, 2D NMR, MS, and IR spectral data. Among them, compound 1 was a new triterpene and other compounds except compounds 2 and 7 were isolated from this plant for the first time.
Triterpenes/isolation & purification* ; Drugs, Chinese Herbal/isolation & purification* ; Molecular Structure ; Asteraceae/chemistry* ; Chromatography, High Pressure Liquid ; Magnetic Resonance Spectroscopy