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.

The combination of Aidi Injection(ADI) and doxorubicin(DOX) is a common strategy in the treatment of cancer, which can achieve synergistic anti-tumor effects while attenuating the cardiotoxicity caused by DOX. This study aims to investigate the mechanism of ADI in attenuating DOX-induced cardiotoxicity by multi-omics. DOX was used to induce cardiotoxicity in mice, and the cardioprotective effects of ADI were evaluated based on biochemical indicators and pathological changes. Based on the results, transcriptomics, proteomics, and metabolomics were employed to analyze the changes of endogenous substances in different physiological states. Furthermore, data from multiple omics were integrated to screen key regulatory pathways by which ADI attenuated DOX-induced cardiotoxicity, and important target proteins were selected for measurement by ELISA kits and immunohistochemical analysis. The results showed that ADI significantly reduced the levels of cardiac troponin T(cTnT) and N-terminal pro-B-type natriuretic peptide(NT-proBNP) and effectively ameliorated myocardial fibrosis and intracellular vacuolization, indicating that ADI showed therapeutic effect on DOX-induced cardiotoxicity. The transcriptomics analysis screened out a total of 400 differentially expressed genes(DEGs), which were mainly enriched in inflammatory response, oxidative stress, and myocardial fibrosis. After proteomics analysis, 70 differentially expressed proteins were selected, which were mainly enriched in the inflammatory response, cardiac function, and energy metabolism. A total of 51 differentially expressed metabolites were screened by the metabolomics analysis, and they were mainly enriched in multiple signaling pathways, including the inflammatory response, lipid metabolism, and energy metabolism. The integrated data of multiple omics showed that linoleic acid metabolism, arachidonic acid metabolism, and glycerophosphate metabolism pathways played an important role in DOX-induced cardiotoxicity, and ADI may exert therapeutic effects by modulating these pathways. Target validation experiments suggested that ADI significantly regulated abnormal protein levels of cyclooxygenase-1(COX-1), cyclooxygenase-2(COX-2), prostaglandin H2(PGH2), and prostaglandin D2(PGD2) in the model group. In conclusion, ADI may attenuate DOX-induced cardiotoxicity by regulating linoleic acid metabolism, arachidonic acid metabolism, and glycerophosphate metabolism, thus alleviating inflammation of the body.
Doxorubicin/toxicity* ; Animals ; Mice ; Cardiotoxicity/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Proteomics ; Metabolomics ; Injections ; Humans ; Multiomics

Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning ; Drugs, Chinese Herbal/standards* ; Quality Control ; Medicine, Chinese Traditional/standards* ; Humans

BACKGROUND: The mechanisms distinguishing metabolically healthy from unhealthy phenotypes within the same BMI categories remain unclear. This study aimed to investigate the associations between regional fat distribution and metabolically unhealthy phenotypes in Chinese adults across different BMI categories. METHODS: This cross-sectional study involving 11833 Chinese adults aged 20 years and older. Covariance analysis, adjusted for age, compared the percentage of regional fat (trunk, leg, or arm fat divided by whole-body fat) between metabolically healthy and unhealthy participants. Trends in regional fat percentage with the number of metabolic abnormalities were assessed by the Jonckheere-Terpstra test. Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated by logistic regression models. All analyses were performed separately by sex. RESULTS: In non-obese individuals, metabolically unhealthy participants exhibited higher percent trunk fat and lower percent leg fat compared to healthy participants. Additionally, percent trunk fat increased and percent leg fat decreased with the number of metabolic abnormalities. After adjustment for demographic and lifestyle factors, as well as BMI, higher percent trunk fat was associated with increased odds of being metabolically unhealthy [highest vs. lowest quartile: ORs (95%CI) of 1.64 (1.35, 2.00) for men and 2.00 (1.63, 2.46) for women]. Conversely, compared with the lowest quartile, the ORs (95%CI) of metabolically unhealthy phenotype in the highest quartile for percent arm and leg fat were 0.64 (0.53, 0.78) and 0.60 (0.49, 0.74) for men, and 0.72 (0.56, 0.93) and 0.46 (0.36, 0.59) for women, respectively. Significant interactions between BMI and percentage of trunk and leg fat were observed in both sexes, with stronger associations found in individuals with normal weight and overweight. CONCLUSIONS Trunk fat is associated with a higher risk of metabolically unhealthy phenotype, while leg and arm fat are protective factors. Regional fat distribution assessments are crucial for identifying metabolically unhealthy phenotypes, particularly in non-obese individuals.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Adipose Tissue ; Body Fat Distribution ; Body Mass Index ; China/epidemiology* ; Cross-Sectional Studies ; Health Surveys ; Phenotype

Objective:To construct an intelligent evaluation model based on the grey whitening weight cluster algorithm for risk in supply chain of medical consumables,and explore its application value in the management for medical consumables.Methods:The risk source of supply chain of medical consumables under the supply-processing-distribution(SPD)mode was analyzed,and the problems in the management for supply chain were evaluated by using grey whitening weight cluster,and an intelligent evaluation model for risk in supply chain of medical consumables was constructed to conduct control and management for risk in supply chain of medical consumables.A total of 10.61 million pieces of 400 types of medical consumables that were purchased and used by the National Center for Children's Health,China,Beijing Children's Hospital,Capital Medical University from 2022 to 2023 were selected.In them,the 5.15 million pieces of 200 types of medical consumables that were purchased and used during January and December 2022 were controlled and managed for risk through the management mode of assessment and prediction with experts.The 5.46 million pieces of 200 types of medical consumables that were purchased and used during January and December 2023 were controlled and managed for risk through used the intelligent evaluation model based on the gray whitening weight cluster algorithm under the SPD mode in supply chain of medical consumables for risk(prediction management mode with evaluation model).The incidences of risk,and the accuracy of data in supply chain between the two management modes were compared.A self-made satisfaction questionnaire was used to investigate the satisfaction rates of medical staffs,medical technicians,managers of department,and keepers of warehouse regarding to the supply of medical consumables.Results:The incidence rates of risks in suppliers,inventory,finance,technical support and information security of supply chain were respectively 1.8%,2.2%,0.4%,1.5%and 3.1%by adopting prediction management mode with evaluation model in 100,000 randomly inspected cases of medical consumables,all of which were lower than those of the management mode of assessment and prediction with experts,and the differences were statistically significant(x2=9.239,23.013,11.706,21.141,42.331,P<0.05).The accuracy rates of supply data of spot check for the consumables of auxiliary examination,the nursing consumables in ward,the consumables of surgical treatment,the consumables of oral treatment and other disposable consumables of prediction management mode with evaluation model were all higher than those of the management mode of assessment and prediction with experts,and the differences were statistically significant(x2=11.628,15.842,7.790,7.289,7.448,P<0.05).The satisfaction rates of medical staffs,medical technicians,managers of department and keepers of warehouse for clinical supply of medical consumables in prediction management mode with evaluation model were all higher than those in the management mode of assessment and prediction with experts,and the differences were statistically significant(x2=4.824,5.703,5.529,5.143,P<0.05).Conclusion:The intelligent evaluation model based on the grey whitening weight cluster algorithm under the SPD mode for risk in supply chain of medical consumables can reduce the incidence rate of risk in the supply chain of medical consumables,and improve the accuracy of supply data of medical consumables,and enhance the satisfaction of staffs in hospital.

Objective:To investigate the clinical efficacy of pancreatic cancer surgery with arterial resection.Methods:The clinicopathological and follow-up data of 135 patients undergoing pancreatectomies with arterial resection in Pancreas Center, the First Affiliated Hospital of Nanjing Medical University from Sep 2013 to Dec 2023 were retrospectively analyzed.Results:There were 77 males and 58 females, with age [ M( IQR)] of 63 (14) years old. Among the 135 patients, 122 (90.4%) were distal pancreatectomies, 8 (5.9%) were pancreaticoduodenectomies, 4 (3.0%) were total pancreatectomies and 1 (0.7%) was resection for local recurrence after distal pancreatectomy. There were 120 (88.9%) celiac axis resections, 11 (8.1%) hepatic artery resections, 1 (0.7%) superior mesenteric artery resection and 3 (2.2%) other artery resections. Simultaneous portal vein-superior mesenteric vein or organ resection accounted for 26.7% (36/135) and 29.6% (40/135),respectively. The median blood loss was 300 (300) ml and the median operation time was 275 (105) minutes. The 90-day mortality rate was 7.4% (10/135). The overall morbidity rate was 70.4% (95/135) while the major morbidity rate was 18.5% (25/135). Postoperative hemorrhage occurred in 8.9% (12/135), clinically relevant postoperative pancreatic fistula in 57.0% (77/135), bile leak in 0.74% (1/135), delayed gastric emptying in 9.6% (13/135), liver failure in 3.7% (5/135) and transient liver enzyme elevation in 44.4% (60/135). All of the 135 cases were confirmed as pancreatic cancer histologically, including 54.6% (71/130) moderately differentiated, 45.4% (59/130) poorly differentiated and no for well differentiated. The median tumor size was 4.5 (2.3) cm. The median number of harvested lymph nodes was 14 (13) and the percentage of N0, N1 and N2 according to AJCC 8th staging system was 27.1% (36/133), 52.6% (70/133) and 20.3% (27/133), respectively. The R 0 resection was achieved in 40 of 123 cases (32.5%), whose margins of specimens were assessed circumferentially based on the 1mm rule. The median overall survival time (MST) after surgery was 22.5 months, and the median progress-free survival time was 16.1 months. The overall survival rate at 1-, 2- and 5-year was 71.5%, 45.1% and 11.3%, respectively. The MST of patients who received no adjuvant therapy, chemotherapy after surgery was 8.4 months, 25.3 months, respectively. Conclusions:Pancreatectomy with arterial resection is generally safe and feasible. Survival outcome improves significantly when combined with adjuvant chemotherapy.

Objective: To investigate the mechanism of action of Prim-O-glucosylcimifugin (POG) to improve cholesterol metabolism in osteoarthritic (OA) chondrocytes based on the long noncoding RNA nuclear-enriched transcript 1 (lncRNA NEAT1)/microRNA-128-3p (miR-128-3p) pathway. Methods: For in vivo experiments, 60 mice were divided into the normal, sham operation, model, and POG groups using the random number table method, with 15 mice per group. The osteoarthritis mouse model was constructed using the modified Hulth method in the model and POG groups. Mice in the POG group were administered 30 mg/(kg·d)POG by gavage. The other groups were administered an equal amount of normal saline for 8 weeks. The cartilage tissue structure of mice in each group was observed using hematoxylin and eosin staining. Real-time PCR was used to detect changes in the lncRNA NEAT1 and miR-128-3p mRNA expression levels in the cartilage tissues of mice. Western blotting was used to detect the protein expressions of ATP-binding cassette transporter A1 (ABCA1), liver X receptor β (LXRβ), matrix metalloprotein-3 (MMP-3), and B-lymphoblastoma-2-associated X protein (Bax) in articular cartilage of mice. An enzyme-linked immunosorbent assay was used to measure the tumor necrosis factor-α (TNF-α) content in the synovial fluid of mice. A biochemical microplate assay was used to measure the total cholesterol level in the synovial fluid of mice. The in vitro experiments were divided into the negative control, interleukin-1β(IL-1β), IL-1β+ POG, IL-1β+ oe-lncRNA NEAT1, IL-1β+ oe-lncRNA NEAT1 + POG, IL-1β + miR-128-3p inhibition, and IL-1β+ miR-128-3p inhibition+ POG groups. An OA model was established by inducing chondrocytes with IL-1β for 24 h, and 90 mg/L of POG and miR-128-3p inhibitor(50 nmol/L) were administered for 48 h as an intervention. lncRNA NEAT1 expression in chondrocytes was detected using fluorescence in situ hybridization. A dual luciferase assay was used to detect the targeting relationship between lncRNA NEAT1 and miR-128-3p. Lentiviral plasmids overexpressing lncRNA NEAT1 were used to transfect mouse chondrocytes. Real-time PCR was used to detect the effect of lncRNA NEAT1 overexpression on the mRNA level of miR-128-3p in chondrocytes. Western blotting was used to detect ABCA1, LXRβ, MMP-3, and Bax protein expression in chondrocytes after lncRNA NEAT1 overexpression and miR-128-3p inhibition. Results: POG significantly reduced OA cartilage tissue damage. Compared with the model group, the lncRNA NEAT1 mRNA level decreased, whereas the miR-128-3p mRNA level increased in the cartilage tissue of the POG group (P<0.05). Compared with the model group, ABCA1 and LXRβ protein expression increased in the POG group, whereas MMP-3 and Bax protein expression decreased (P<0.05). The TNF-α levels decreased in the POG group compared to the model group (P<0.05). Compared with the model group, the total cholesterol level in the synovial fluid of the joint of mice in the POG group decreased (P<0.05). The mean fluorescence intensity of lncRNA NEAT1 in the IL-1β+ POG group decreased compared with the IL-1β group (P<0.05). The relative luciferase activity in the miR-128-3p mimics group bound to the lncRNA NEAT1-WT plasmid decreased compared with the miR-128-3p negative control group (P<0.05). The lncRNA NEAT1 mRNA levels decreased, whereas the miR-128-3p mRNA levels increased in the IL-1β+ oe-lncRNA NEAT1 + POG group compared with the IL-1β+ oe-lncRNA NEAT1 group (P<0.05). Compared with the IL-1β+ POG group, ABCA1 and LXRβ protein expression decreased, whereas MMP-3 and Bax protein expression increased (P<0.05). Conclusion POG mediates lncRNA NEAT1/miR-128-3p to improve cholesterol metabolism in OA chondrocytes.

Processing for deodorization is widely used in the production of animal-derived Chinese medicinal materials. In this study, Heracles Neo ultra-fast gas-phase electronic nose combined with chemometrics was employed to analyze the overall odor difference of Cervi Cornu Pantotrichum(focusing on that derived from Cervus nippon Temminck in this study) before and after processing. The results showed that the electronic nose effectively distinguished between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. HS-GC-MS was used to identify and quantify the volatile components in the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum, and 35 and 37 volatile components were detected in the medicinal materials and decoction pieces, respectively. The medicinal materials and decoction pieces contained 28 common volatile components contributing to the odor of Cervi Cornu Pantotrichum. The odor activity value(OAV) of each volatile component was calculated based on the olfactory threshold and relative content. The results showed that there were 17 key odor substances such as isovaleraldehyde, 2-methylbutanal, isobutyraldehyde, hexanal, and methanethiol in the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. All of them had bad odor and were the main source of the odor of Cervi Cornu Pantotrichum. The results of principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) showed that there were significant differences in volatile components between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. Based on the thresholds of P<0.05 and Variable Importance in Projection(VIP)>1, 21 differential volatile odor components were screened out. Among them, isopentanol, isovaleraldehyde, 2-methylbutanal, n-nonanal, and dimethylamine were the key differential odor compounds between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. The odor compounds and their relative content reduced, and some flavor substances such as esters were produced after processing with wine, which was the main reason for the reduction of the odor after processing of Cervi Cornu Pantotrichum.
Odorants/analysis* ; Electronic Nose ; Gas Chromatography-Mass Spectrometry/methods* ; Animals ; Volatile Organic Compounds/analysis* ; Deer ; Drugs, Chinese Herbal/chemistry*

AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P＞0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.