Objective To investigate the risk factors for postoperative recurrence and metastasis in patients with T1 stageⅢ/Ⅳ clear cell renal cell carcinoma(ccRCC), and to analyze the influence of surgical methods on prognosis, so as to provide prognostic evaluation and treatment guidance for clinical practice. Methods A retrospective analysis was conducted on 398 patients diagnosed with T1 stage Ⅲ/Ⅳ ccRCC who underwent either partial nephrectomy(PN)or radical nephrectomy(RN)at Jiangsu Province Hospital during Jan. 2008 and Sep. 2022. The patients were divided into recurrence group(n=49)and non-recurrence group(n=349)according to whether the tumor recurred during the follow-up period. The general, clinical data and prognosis were compared between the two groups. Univariate and multivariate Cox regression analyses were used to explore the factors influencing disease-free survival(DFS)and overall survival(OS)after surgery. Subgroup analysis using Kaplan-Meier curves was performed for T1a and T1b patients. Results During the median follow-up of 67(42, 98)months, the recurrence group was characterized by older age, larger tumor diameter, higher proportion of T1b stage, and more complex tumor anatomy. Univariate and multivariate Cox regression analyses showed that age ≥55 years and R.E.N.A.L. score ≥7 were independent risk factors for poorer DFS and OS(P＜0.05). Subgroup analysis revealed that PN or RN did not significantly affect DFS or OS in T1a patients and OS in T1b patients, while RN significantly improved DFS in T1b patients(P＜0.05). Conclusion Age ≥55 years and R.E.N.A.L. score ≥7 are independent risk factors for poor DFS and OS in highgrade T1 ccRCC patients. For T1b patients, RN may improve DFS.

ObjectiveTomatoes are one of the highest-yielding and most widely cultivated economic crops globally, playing a crucial role in agricultural production and providing significant economic benefits to farmers and related industries. However, early blight in tomatoes is known for its rapid infection, widespread transmission, and severe destructiveness, which significantly impacts both the yield and quality of tomatoes, leading to substantial economic losses for farmers. Therefore, accurately identifying early symptoms of tomato early blight is essential for the scientific prevention and control of this disease. Additionally, visualizing affected areas can provide precise guidance for farmers, effectively reducing economic losses. This study combines hyperspectral imaging technology with machine learning algorithms to develop a model for the early identification of symptoms of tomato early blight, facilitating early detection of the disease and visual localization of affected areas. MethodsTo address noise interference present in hyperspectral images, robust principal component analysis (RPCA) is employed for effective denoising, enhancing the accuracy of subsequent analyses. To avoid insufficient information representation caused by the subjective selection of regions of interest, the Otsu’s thresholding method is utilized to extract tomato leaves effectively from the background, with the average spectrum of the entire leaf taken as the primary object of study. Furthermore, a comprehensive spectral preprocessing workflow is established by integrating multivariate scatter correction (MSC) and standardization methods, ensuring the reliability and effectiveness of the data. Based on the processed spectral data, a discriminant model utilizing a linear kernel function support vector machine (SVM) is constructed, focusing on characteristic wavelengths to improve the model's discriminative capability. ResultsCompared to full-spectrum modeling, this approach results in an 8.33% increase in accuracy on the test set. After optimizing the parameters of the SVM model, when C=1.64, the accuracies of the training set and test set reach 91.67% and 94.44%, respectively, demonstrating a 1.19% increase in training set accuracy compared to the unoptimized model, while maintaining the same accuracy on the test set, effectively alleviating issues of underfitting. ConclusionThis study successfully establishes an early discriminant model for tomato early blight using hyperspectral imaging and achieves visualization of early symptoms. Experimental results indicate that the SVM discriminant model based on characteristic wavelengths and a linear kernel function can effectively identify early symptoms of tomato early blight. Visualization of these symptoms in terms of disease probability allows for a more intuitive detection of early diseases and timely implementation of corresponding control measures. This visual analysis not only enhances the efficiency of disease identification but also provides farmers with more straightforward and practical information, aiding them in formulating more reasonable prevention strategies. These research findings provide valuable references for the early identification and visualization of plant diseases, holding significant practical implications for monitoring, identifying, and scientifically preventing crop diseases. Future research could further explore how to apply this model to disease detection in other crops and how to integrate IoT technology to create intelligent disease monitoring systems, enhancing the scientific and efficient management of crops.

[Objective] To explore the incidence and risk factors of blood transfusion undergoing total knee revision (TKR) using a nationwide database. [Methods] A retrospective data analysis was conducted based on the Nationwide Inpatient Sample (NIS), enrolling patients who underwent TKR from 2015 to 2019 with complete information. Patients under 18 years old and those using anticoagulants, antiplatelets, antithrombotic and non-steroidal were excluded. The patients were divided into two groups based on whether they received blood transfusion or not. The demographic characteristics, length of stay (LOS), total charge of hospitalization, hospital characteristics, hospital mortality, comorbidities and perioperative complications by Wilcoxon rank test for continuous data and chi-square test for categorical data. Logistic regression was performed to identify risk factors of blood transfusion undergoing TKR. [Results] The NIS database included 63 359 patients who underwent TKR. Among them, 5 271 patients received blood transfusion, with an incidence of blood transfusion of 7.8%. There was a decrease in the incidence over the years from 2015 to 2019, dropping from 10.2% to 6.5%. TKR patients requiring transfusions had experienced longer LOS, incurred higher total medical expenses, utilized Medicare more frequently, and had increased in-hospital mortality rates (all P<0.001). Independent risk factors for blood transfusion included female gender, iron-deficiency anemia, rheumatoid disease, collagen vascular disease, chronic blood loss anemia, congestive heart failure, coagulopathy, diabetes with chronic complications, lymphoma, fluid and electrolyte disorders, peripheral vascular disorders, renal failure, valvular disease and weight loss (malnutrition). In addition, risk factors for transfusion in TKR surgery included sepsis, acute myocardial infarction, deep vein thrombosis, gastrointestinal bleeding, heart failure, pneumonia, urinary tract infection, acute renal failure, postoperative delirium, wound infection, lower limb nerve injury, hemorrhage, seroma, hematoma, wound rupture and non healing. [Conclusion] Our findings highlight the importance of recognizing the risk factors of blood transfusion in TKR and establishing corresponding clinical pathways and intervention measures to reduce the occurrence of adverse events.

OBJECTIVE To investigate the ameliorative effect and potential mechanism of imperatorin(IMP)on doxorubicin(DOX)resistance in breast cancer.METHODS The effects of maximum non-toxic concentration(100 μg/mL)of IMP combined with different concentrations of DOX(12.5,25,50,75,100 μg/mL)on the proliferation of MCF-7/DOX cells were determined by MTT method.MCF-7/DOX cells were divided into blank control group(1‰ dimethyl sulfoxide),DOX group(50 μg/mL),IMP+DOX group(100 μg/mL IMP+50 μg/mL DOX)and IMP group(100 μg/mL).mRNA and protein expressions of multidrug resistance protein 1(MDR1)and multidrug resistance-associated protein l in each group were measured.The relevant pathways and targets involved in the improvement of DOX resistance in breast cancer cells by IMP were screened and validated by using transcriptome sequencing technology,along with gene ontology(GO)enrichment analyses and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses.RESULTS Compared with DOX alone,the combination of IMP and DOX reduced the half inhibitory concentration of DOX on MCF-7/DOX cells from 81.965 μg/mL to 43.170 μg/mL,the reverse fold was 1.90,and the mRNA expression of MDR1 was significantly down-regulated(P＜0.05).The results of GO enrichment analyses and KEGG pathway enrichment analyses indicated that the reversal of DOX resistance in breast cancer by IMP was mainly associated with the regulation of biological processes such as detoxification,multiple biological processes,and cell killing.The main pathway involved was the p53 signaling pathway,and the key targets mainly included constitutively photomorphogenic protein 1(COP1),cyclin E1(CCNE1),growth arrest and DNA damage-inducible protein 45A(GADD45A)and GADD45B.The results of the verification experiments showed that compared with DOX group,there was a trend of up-regulation of COP1 mRNA,and significant down-regulation of CCNE1,GADD45A,and GADD45B mRNA expression in IMP+DOX group(P＜0.05).CONCLUSIONS The effect of IMP in ameliorating DOX resistance in breast cancer is related to its regulation of COP1,CCNE1,GADD45A and GADD45B targets in the p53 signaling pathway.

Objective To investigate the dosimetric effect of a biological optimization approach combining physical optimization with generalized equivalent uniform dose(gEUD)on hippocampus avoidance whole-brain radiotherapy(HA-WBRT).Methods A retrospective review was conducted of 20 patients with multiple brain metastases who underwent whole-brain radiotherapy at a certain hospital between May 2021 and December 2022.Two radiotherapy plans including plan_DV and plan_gEUD were designed for each patient by using Eclipse V15.6 planning system.Plan_DB used conven-tional dose-volume(DV)physical optimization,and plan_gEUD went through re-optimization with an Upper gEUD function applied to hippocampal region and hippocampal protection zone.Evaluation was carried out in accordance with RTOG 0933 guidance for the absolute values D2%,D98%and D50%received by 2%,98%,and 50%of the target volume in the planning target volume,conformity index(CI),homogeneity index(HI),gradient index(GI)and the dosimetric indexes of hippocampal region,hippocampal protection zone and other organs at risk(OARs).SPSS 26.0 software was used for statistical analysis.Results The two kinds of plans both had the target volume coverage meet the requirements of RTOG 0933 guidance.Plan_gEUD had the D98%,D2%and V105 of the planning target volume lower than those of plan_DV,with the differences being statistically significant(all P<0.05).The two kinds of plans had no significant differences in monitor unit,D50%and Dmax of PTV,HI,CI and GI(all P>0.05).Plan_gEUD had the Dmax and Dmean of hippocampal region and them of hippocampal pro-tection zone lower than those of plan_DV,and the optic nerve Dmax of plan_gEUD was higher than that of plan_DV,with the differences being statistically significant(all P<0.05).There were no statistically significant differences between the two kinds of plans in the Dmax of inner ear,optic chiasm,lens,and eyeball(all P>0.05).Conclusion Physical optimization in the HA-WBRT plan combined with gEUD optimization results in a greater dose reduction to the hippocampus while maintaining target coverage.

Aim To explore the therapeutic effects of resveratrol(Res)on hepatic inflammation and oxida-tive stress in rheumatoid arthritis(RA),and to eluci-date the relationship of the regulatory mechanism of the Nrf2/Keap1 signaling pathway in it.Methods A mouse model of arthritis was induced using chicken type Ⅱ collagen in combination with complete Freund's adjuvant,and Res was administered by tube feeding for treatment.Serum liver function indices and levels of hepatic inflammation and oxidative stress were detected in mice.An in vitro cellular model of hepatic inflam-mation and oxidative stress was established by treating mouse primary hepatocytes(MPHs)with TNF-α(5μg·L-1),cell proliferation inhibition was detected by CCK-8,and inflammation and oxidative stress-relat-ed indices were detected by protein blotting.The in-trinsic mechanisms by which Res attenuated hepatic in-flammation and oxidative stress in rheumatoid arthritis were explored by treating MPHs with Nrf2 inhibitor and Keap1 overexpression plasmid.Results Res signifi-cantly reduced the levels of inflammation and oxidative stress in hepatic tissues of collagen-induced arthritis mice as well as TNF-α-treated MPHs,and activated the Nrf2/Keap1 signaling pathway.Inflammation and oxidative stress levels in MPHs were exacerbated by the use of Nrf2 inhibitors and Keap1 overexpression,which promoted apoptosis.Conclusion Res attenuates he-patic inflammation and oxidative stress in rheumatoid arthritis via the Nrf2/Keap1 pathway.

OBJECTIVE To analyze the differences in chemical composition of mussels from Shengsi,Zhoushan in different har-vest months,and to compare the differences in the composition of mussels from different origins,so as to provide ideas for the compre-hensive utilization of its resources.METHODS Ultra-high performance liquid chromatography-triple quadrupole mass spectrometry(UHPLC-QqQ-MS)and spectrophotometry were used to analyze and evaluate the contents of nucleosides,amino acids,water-soluble proteins,total sugars and polysaccharides in mussels from Shengsi,Zhoushan in 12 months of the year and from 5 different origins;principal component analysis(PCA),partial least squares discriminant method(PLS-DA)and TOPSIS method were used to compre-hensively evaluate mussels.RESULTS A total of 16 amino acids and 11 nucleosides were detected in mussels.The average content of total amino acids in Shengsi mussels throughout the year was 4 851.74 μg·g-1,the average content of total nucleosides was 921.40 μg·g-1,and the average contents of water-soluble protein,polysaccharides,and total sugars were 51.32 mg·g-1,74.39 μg·g-1,and 417.22 mg·g-1,respectively.The nucleosides of Shengsi mussels were the highest in March and April,the ami-no acids and water-soluble proteins were the highest in April and May,and the polysaccharides and total sugars were the highest in Oc-tober and November.The PCA and PLS-DA results of the chemical components of different resources showed that there were great differences in Shengsi mussel samples harvested in different seasons.The entropy weight TOPSIS analysis showed that the comprehen-sive scores of Shengsi mussels in March and April(S7 and S8)were better than those in other areas,and the comprehensive score of Shengsi mussels in April(S8)was the highest,which was determined to be the best harvesting month.CONCLUSION The comparison results of multi-type resource chemistry show that there are great differences in the chemical compo-sition of Shengsi mussels in different harvesting seasons;the quality of Shengsi mussels is better than that of other areas;April is the best harvesting season,providing a reference for the quality evaluation and comprehensive development and utilization of mussels.

Purpose To identify hepatocellular carcinoma that responds to repetitive transcatheter arterial chemoembolization(TACE)based on CT radiomics.Materials and Methods A total of 96 patients diagnosed as hepatocellular carcinoma in the First Affiliated Hospital of Xinjiang Medical University from February 2018 to May 2024 were randomly divided into a training group(n=67)and internal validation group(n=29)at a ratio of 7∶3.All patients received three or more TACE treatments.Radiomics features were extracted from lipiodol of the target-lesions by semi-automatic segmentation on the axial CT image after TACE within 24 hours.The radiomics model were constructed by five features for differentiating non-response group from response group.Receiver operating characteristic curve analysis and decision curve were performed to evaluate the performance of the model.Results Child-Pugh classification(OR=2.737,P<0.05),BCLC stage(OR=2.907,P<0.05),multifocal tumors(OR=4.505,P<0.01)and alpha-fetoprotein(OR=1.002,P<0.01)were independent risk factors for predicting tumor response after TACE.The area under the curve of the non-contrast CT based model and the arterial-enhanced CT based model were 0.813 and 0.831 in the experimental group;0.748 and 0.788 in the validation group,respectively.Both of the two models showed good prediction performance.Conclusion The radiomics model based on CT imaging features after first TACE is effectively for differentiating non-response group from response group,lipiodol retention patterns from the target lesion can be the imaging biomarkers for TACE response prediction.

Objective To investigate the dosimetric effect of a biological optimization approach combining physical optimization with generalized equivalent uniform dose(gEUD)on hippocampus avoidance whole-brain radiotherapy(HA-WBRT).Methods A retrospective review was conducted of 20 patients with multiple brain metastases who underwent whole-brain radiotherapy at a certain hospital between May 2021 and December 2022.Two radiotherapy plans including plan_DV and plan_gEUD were designed for each patient by using Eclipse V15.6 planning system.Plan_DB used conven-tional dose-volume(DV)physical optimization,and plan_gEUD went through re-optimization with an Upper gEUD function applied to hippocampal region and hippocampal protection zone.Evaluation was carried out in accordance with RTOG 0933 guidance for the absolute values D2%,D98%and D50%received by 2%,98%,and 50%of the target volume in the planning target volume,conformity index(CI),homogeneity index(HI),gradient index(GI)and the dosimetric indexes of hippocampal region,hippocampal protection zone and other organs at risk(OARs).SPSS 26.0 software was used for statistical analysis.Results The two kinds of plans both had the target volume coverage meet the requirements of RTOG 0933 guidance.Plan_gEUD had the D98%,D2%and V105 of the planning target volume lower than those of plan_DV,with the differences being statistically significant(all P<0.05).The two kinds of plans had no significant differences in monitor unit,D50%and Dmax of PTV,HI,CI and GI(all P>0.05).Plan_gEUD had the Dmax and Dmean of hippocampal region and them of hippocampal pro-tection zone lower than those of plan_DV,and the optic nerve Dmax of plan_gEUD was higher than that of plan_DV,with the differences being statistically significant(all P<0.05).There were no statistically significant differences between the two kinds of plans in the Dmax of inner ear,optic chiasm,lens,and eyeball(all P>0.05).Conclusion Physical optimization in the HA-WBRT plan combined with gEUD optimization results in a greater dose reduction to the hippocampus while maintaining target coverage.

Aim To explore the therapeutic effects of resveratrol(Res)on hepatic inflammation and oxida-tive stress in rheumatoid arthritis(RA),and to eluci-date the relationship of the regulatory mechanism of the Nrf2/Keap1 signaling pathway in it.Methods A mouse model of arthritis was induced using chicken type Ⅱ collagen in combination with complete Freund's adjuvant,and Res was administered by tube feeding for treatment.Serum liver function indices and levels of hepatic inflammation and oxidative stress were detected in mice.An in vitro cellular model of hepatic inflam-mation and oxidative stress was established by treating mouse primary hepatocytes(MPHs)with TNF-α(5μg·L-1),cell proliferation inhibition was detected by CCK-8,and inflammation and oxidative stress-relat-ed indices were detected by protein blotting.The in-trinsic mechanisms by which Res attenuated hepatic in-flammation and oxidative stress in rheumatoid arthritis were explored by treating MPHs with Nrf2 inhibitor and Keap1 overexpression plasmid.Results Res signifi-cantly reduced the levels of inflammation and oxidative stress in hepatic tissues of collagen-induced arthritis mice as well as TNF-α-treated MPHs,and activated the Nrf2/Keap1 signaling pathway.Inflammation and oxidative stress levels in MPHs were exacerbated by the use of Nrf2 inhibitors and Keap1 overexpression,which promoted apoptosis.Conclusion Res attenuates he-patic inflammation and oxidative stress in rheumatoid arthritis via the Nrf2/Keap1 pathway.