ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

ObjectiveRetinal vein occlusion （RVO） is the second most common vascular disease leading to vision loss. Since its pathogenesis remains unclear， current Western medical treatments primarily target complications such as macular edema and neovascularization. The main therapeutic approaches include intravitreal injections of anti-vascular endothelial growth factor （VEGF） agents or corticosteroids， laser photocoagulation， and pars plana vitrectomy. However， these treatments cannot fully reverse disease progression or structural damage. Traditional Chinese medicine （TCM） has unique advantages in the clinical diagnosis and treatment of RVO， and integrated Chinese and Western medicine approaches may offer better clinical outcomes. This study， based on the clinical manifestations of RVO， systematically reviews the existing literature and evaluates the alignment of current RVO animal models with clinical manifestations. The aim is to identify the characteristics and limitations of existing models and provide recommendations and prospects for developing RVO animal models featuring the combination of disease and syndrome. MethodsDatabases including CNKI， Wanfang Data， PubMed， and Web of Science were searched with the keywords of "retinal vein occlusion" and "animal model". Model characteristics were assessed based on the diagnostic criteria for diseases and syndromes in both TCM and Western medicine. The alignment of each model with clinical manifestations was analyzed and evaluated. ResultsThe available RVO models were primarily established via methods such as laser photocoagulation， photodynamic therapy， diathermy， intravitreal drug injection， and mechanical modeling. These models demonstrated moderate overall alignment with clinical manifestations， mainly reflecting disease characteristics. However， they generally lack representation of TCM syndrome features. ConclusionExisting RVO models are predominantly based on Western medicine and lack TCM syndrome features. Western medical treatments for RVO have certain limitations， while syndrome differentiation and treatment in TCM offer potential advantages. Future research should focus on developing disease-syndrome integrated animal models that incorporate both pathological features and TCM syndrome characteristics. This approach will enhance the design of RVO models and facilitate both basic and clinical research， which make it a scientifically valuable and necessary endeavor.

ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

ObjectiveRetinal vein occlusion （RVO） is the second most common vascular disease leading to vision loss. Since its pathogenesis remains unclear， current Western medical treatments primarily target complications such as macular edema and neovascularization. The main therapeutic approaches include intravitreal injections of anti-vascular endothelial growth factor （VEGF） agents or corticosteroids， laser photocoagulation， and pars plana vitrectomy. However， these treatments cannot fully reverse disease progression or structural damage. Traditional Chinese medicine （TCM） has unique advantages in the clinical diagnosis and treatment of RVO， and integrated Chinese and Western medicine approaches may offer better clinical outcomes. This study， based on the clinical manifestations of RVO， systematically reviews the existing literature and evaluates the alignment of current RVO animal models with clinical manifestations. The aim is to identify the characteristics and limitations of existing models and provide recommendations and prospects for developing RVO animal models featuring the combination of disease and syndrome. MethodsDatabases including CNKI， Wanfang Data， PubMed， and Web of Science were searched with the keywords of "retinal vein occlusion" and "animal model". Model characteristics were assessed based on the diagnostic criteria for diseases and syndromes in both TCM and Western medicine. The alignment of each model with clinical manifestations was analyzed and evaluated. ResultsThe available RVO models were primarily established via methods such as laser photocoagulation， photodynamic therapy， diathermy， intravitreal drug injection， and mechanical modeling. These models demonstrated moderate overall alignment with clinical manifestations， mainly reflecting disease characteristics. However， they generally lack representation of TCM syndrome features. ConclusionExisting RVO models are predominantly based on Western medicine and lack TCM syndrome features. Western medical treatments for RVO have certain limitations， while syndrome differentiation and treatment in TCM offer potential advantages. Future research should focus on developing disease-syndrome integrated animal models that incorporate both pathological features and TCM syndrome characteristics. This approach will enhance the design of RVO models and facilitate both basic and clinical research， which make it a scientifically valuable and necessary endeavor.

Peripheral neurotoxicity represents one of the most severe dose-limiting adverse reactions associated with oxaliplatin， with genetic polymorphisms playing a significant role in oxaliplatin-induced peripheral neuropathy （OIPN）. OIPN can be categorized as acute or chronic based on onset timing. The former presents clinically as sensory abnormalities or even motor disorders， while the latter presents clinically as limb sensory disorders that persist， numbness or pain in the hands and feet. The transporter genes OCT2， OCTN2， and NHE1 may be implicated in OIPN； drug-metabolizing enzyme gene GSTP1 Ile105Val， DPYD rs1801265， voltage-gated sodium channel （NaV） gene SCN4A rs2302237， SCN9A rs6746030， SCN10A rs12632942， and other associated genes such as HLA-G rs1610696， rs371194629 and CCNH rs2230641， rs3093816 are associated with severe OIPN. Conversely， DNA repair-related gene XRCC1 rs23885， NaV gene SCN9A rs3750904， rs12478318 and rs6754031 are associated with reduced OIPN risk. In the future， the genetic research findings on OIPN can be translated into clinical applications， ultimately achieving individualized precision medicine for patients.

Objective This study aims to investigate the application of symptom group management using a mo-bile health platform in managing heart failure patients during convalescence.Methods The research involved pa-tients with chronic heart failure who were treated at a tertiary A hospital in Qingdao from June 2022 to December 2022.The experimental group consisted of 235 patients who were discharged after treatment in ward A,while the control group consisted of 235 patients who were discharged during the same period in ward B.The experimental group received an mHealth-based symptom clusters management program following routine continuous nursing and the control group was given routine continuous nursing after discharge.6 months after the intervention,the heart function status,self-care level,and quality of life were compared between 2 groups.Results The experimental group ultimately included 232 cases,while the control group ultimately included 225 cases.Furthermore,the cardiac functional status,level of self-care,and quality of life of both the experimental group and the control group showed improvement compared to the pre-intervention period(P＜0.05).The experimental group exhibited significantly better cardiac function status compared to the control group,and the experimental group demonstrated higher levels of self-care confidence,and quality of life relative to the control group(P＜0.05).Conclusion The utilization of a mobile medical platform can enhance the management of heart failure patients'symptom groups,resulting in im-proved disease management efficiency.This platform provides patients with a comprehensive self-management plan,ultimately enhancing their self-management abilities and overall outcomes.

Objective:To design and develop a molecular imaging probe of 68Ga-labeled bombesin (BBN) analogue, 68Ga-1, 4, 7, 10-tetraazacyclododecane-1, 4, 7, 10-tetraacetic acid (DOTA)-polyethylene glycol (PEG) 4-BBN, and investigate its potential to target prostate cancer with high expression of gastrin-releasing peptide receptor (GRPR) while minimizing uptake in pancreatic tissue. Methods:Based on the amino acid sequence of BBN peptides, the precursor DOTA-PEG 4-BBN was designed and prepared, followed by labeling with 68Ga and conducting to quality control analysis. The tumor uptake of 68Ga-DOTA-PEG 4-BBN was assessed by microPET/CT imaging on tumor-bearing nude mice models with PC3 of high GRPR expression or HT29 of low GRPR expression (3 mice per group). 68Ga-DOTA-PEG 4-BBN microPET/CT imaging was also performed on 6 tumor-bearing nude mice models with PC3, among which 3 mice were treated with gastrin-releasing peptide antagonist 1 h prior to injection of the tracer (blocked group). After imaging, the ex vivo tissues of 3 PC3 tumor-bearing nude mice of the non-blocked group were examined for radioactivity counting to evaluation the biodistribution of 68Ga-DOTA-PEG 4-BBN, and the percentage injected dose per gram of tissue (%ID/g) was calculated. Independent-sample t test was used for data analysis. Results:The synthesis of 68Ga-DOTA-PEG 4-BBN took 40 min, with the radiochemical yield of 50%-60% (no decay correction) and the radiochemical purity of over 95%. After incubation in the serum at 37 ℃ for 4 h, the radiochemical purity remained more than 95%. The microPET/CT imaging results indicated that the uptake in the PC3 tumor was 3.2 times higher than the uptake in the tumor after GRPR blockade ((1.34±0.24) vs (0.42±0.03) %ID/g; t=5.47, P=0.005). After the injection of 68Ga-DOTA-PEG 4-BBN at 1 h and following imaging for 15 min, the PC3 tumor-bearing nude mice models of the non-blocked group showed that the pancreatic uptake ((0.150±0.058) %ID/g) was significantly lower than that in kidneys, lungs and liver ((9.452±0.234), (0.720±0.041), (1.572±0.213) %ID/g) with a profound statistical distinction ( t values: 11.28-53.02, all P<0.001). The tumor/pancreas uptake ratio could reach 16.92 in the tumor-bearing nude mice models with high GRPR expression. Conclusion:A novel molecular imaging probe 68Ga-DOTA-PEG 4-BBN demonstrates specific recognition of tumors with high GRPR expression while exhibiting low uptake in the pancreas, which shows its potential in prostate cancer molecular imaging.

Objective:To understand the status quo and influencing factors of evidence-based nursing competencies among oncology nurses and provide a reference for enhancing this competency among oncology nurses.Methods:From September 2022 to January 2023, totally 300 practicing nurses from Zhejiang Cancer Hospital were selected by convenience sampling and surveyed with the Chinese version of the Evidence-Based Practice Belief-Knowledge-Practice Scale. Univariate analysis and multiple linear regression were employed to analyze factors affecting the evidence-based nursing competencies of these nurses.Results:The evidence-based nursing competency scores of the 300 oncology nurses were (44.50±10.78) . Among the three dimensions, the belief dimension had the highest average item score, while the practice dimension had the lowest. Multiple linear regression analysis revealed that gender, age, evidence-based training, participation in evidence-based projects, reading professional literature, publication of papers within the last five years and medical statistical level were influencing factors of their evidence-based nursing competencies (all P<0.05) . Conclusions:The evidence-based nursing competencies of oncology nurses are at a relatively low level. Nursing managers and educators should focus on female nurses, older nurses, intensify evidence-based nursing training efforts, and thus enhance the evidence-based nursing competencies and overall research quality of the nursing team.

As people's living standards improve， the development trend of diabetes has gradually become severe. Diabetes is a chronic inflammatory disease associated with abnormal expression of nuclear factor-kappa B （NF-κB） in patients. NF-κB exists in various tissue cells and participates in the regulation of a variety of genes related to immune function and inflammation. Varieties of factors can activate NF-κB when the body is stimulated by external factors， so as to produce inflammation and other reactions. Previous studies on NF-κB mainly focus on cancer， and the pathological mechanism of the treatment of diabetes by related signaling pathways and the progress of traditional Chinese medicine （TCM） treatment have not been systematically elaborated on. By referring to the relevant literature in China and abroad， it was found that NF-κB is not isolated in the development and progression of diabetes but is associated with signal molecules related to inflammation， oxidative stress， and energy metabolism， and it is involved in mediating inflammation， pancreatic β cell apoptosis， insulin signal transduction， and other physiological functions. Therefore， blocking the transmission of NF-κB signaling pathway is beneficial to the treatment of diabetes. At present， Western medicine for the treatment of diabetes mainly includes oral hypoglycemic drugs and insulin injections， but the adverse reactions are obvious. TCM has been characterized by multi-target， extensive action， and excellent curative effects in the treatment of diabetes. TCM and its compounds with functions of tonifying Qi and promoting blood circulation， regulating qi and eliminating phlegm， clearing heat and detoxifying， and nourishing Yin and moistening dryness can effectively intervene in the abnormal expression of NF-κB signaling pathway in vivo through anti-inflammatory effects. In this paper， the association between NF-κB signaling pathway and diabetes was summarized， and the modern research progress of TCM intervention of NF-κB signaling pathway in the treatment of diabetes in the past five years was reviewed， so as to lay a laboratory foundation for the study of a new pathological mechanism of diabetes based on NF-κB signaling pathway and provide new targets and research direction for the prevention and treatment of diabetes and development of related TCM.

Objective To observe the value of intratumoral and peritumoral radiomics based on diffusion weighted imaging(DWI)for predicting histological grade of breast cancer.Methods Preoperative DWI data of 700 patients with single breast cancer diagnosed by pathology were retrospectively analyzed.The patients were divided into training set(n= 560,including 381 of grade Ⅰ+Ⅱ and 179 of grade Ⅲ)and test set(n=140,including 95 of grade Ⅰ+Ⅱ and 45 of grade Ⅲ)at the ratio of 8∶2.Intratumoral ROI(ROIintra)was manually delineated on DWI,which was automatically expanded by 3 mm and 5 mm to decline peritumoral ROI(ROIperi,including ROI3 mm and ROI5 mm),then intratumoral-peritumoral ROI(ROIintra+3 mm,ROIintra+5 mm)were obtained.The optimal radiomics features were extracted and screened,and the radiomics model(RM)for predicting the histological grade of breast cancer were constructed.Receiver operating characteristic curves were drawn,and the areas under the curve(AUC)were calculated to evaluate the predictive efficacy of each model.Calibration curve method was used to evaluate the calibration degree,while decision curve analysis(DCA)was performed to explore the clinical practicability of each model.Results AUC of RMintra,RM+3 mm,RM+5mm,RMintra+3 mm and RMintra+5 mm was 0.750,0.724,0.749,0.833 and 0.807 in training set,while was 0.723,0.718,0.736,0.759 and 0.782 in test set,respectively.In training set,significant differences of AUC was found(all P＜0.01),while in test set,no significant difference of AUC was found among models(all P＞0.05).The calibrations of models were all high.DCA showed that taken 0.02-0.88 as the threshold,the clinical net benefit of RMintra+per were greater in training set,while taken 0.40-0.72 as the threshold,the clinical net benefit of RMintra+per was greater in test set.Conclusion Both DWI intratumoral and peritumoral radiomics could effectively predict histological grade of breast cancer.Combination of intratumoral and peritumoral radiomics was more effective.