Health behavior motivation significantly affects the quality of life of patients with cardiovascular diseases.Assessing the level of health behavior motivation can measure the health behavior of individuals,help to promote the participation rate of cardiac rehabilitation,reduce the readmission rate of patients,and promote patients'healthy lifestyles.This article reviews the content,characteristics and application of assessment tools for health behavior motivation of patients with cardiovascular diseases at home and abroad,with the aim of providing references for the development and application of such tools in China,and offering a basis for scientifically assessing their health behavior motivation level and formulating effective strategies to promote health behavior motivation.

The number of patients with chronic diseases in China has been increasing year by year,followed by the increase of treatment burden.It is particularly important to effectively evaluate the treatment burden of patients with chronic diseases.This paper reviews the main contents,application scope,advantages and disadvantages of the assessment tools for the treatment burden of patients with chronic diseases at home and abroad,so as to provide references and basis for medical staff to reasonably select assessment tools and conduct relevant clinical research.

Purpose This study aimed to explore the mucinous phenotype characteristics,key points of differenti-al diagnosis and prognosis of invasive non-mucinous adenocarcinoma(INMA)and invasive mucinous adenocarcinoma(IMA)under the WHO(2021)lung adenocarcinoma classification.Methods We retrospectively collected clinico-pathological data from 522 cases of lung adenocarcinoma,including 425 INMA(66 with mucin secretion,259 without mucin secretion)and 97 IMA.Immunohistochemical(IHC)staining using the EnVision method was performed on the mucin-secreting adenocarcinoma to assess expression of TTF-1,HNF4α,MUC1,MUC4,MUC5AC,MUC5B,and MUC6.Unsupervised clustering analysis was conducted to explore phenotypic subgroups.Results 522 patients with lung adenocarcinoma ranged from 32 to 83 years old(median:61).251 cases(48.1％)were male and 271 cases(51.9％)were female.Clustering analysis divided lung adenocarcinomas into two major groups:one characterized by TTF-1-/HNF4α+and gastric-type mucins MUC5AC+/MUC6+,predominantly IMA;the other,TTF-1+/HNF4α-/MUC4+,largely INMA.A three-marker IHC panel(TTF-1,HNF4α,MUC6)distinguished IMA from mucinous IN-MA with an area under the ROC curve(AUC)of 0.957(95％CI:0.928-0.986)and a Youden's index of 0.860.Further cluster analysis of INMA cases identified four phenotypic subgroups.Prognostic analysis demonstrated that pa-tients with advanced-stage mucin-secreting INMA had significantly shorter overall survival(OS)and progression-free survival(PFS)than those without mucin secretion(5-year OS:57.1％ vs 81.8％,P=0.004;3-year PFS:40.9％ vs 62.4％,P=0.004).No significant survival differences were noted among INMA subgroups stratified by varying mucin proportions.Multivariate analysis identified pathological stage,tumor necrosis,KRAS mutation,and TTF-1 negativity as independent adverse prognostic factors for both OS and PFS in mucinous INMA.Conclusion A three-marker im-munohistochemical panel of TTF-1,HNF4α,and MUC6 is recommended to distinguish IMA from mucinous INMA.Mucus component portends a worse prognosis in advanced INMA,with necrosis,KRAS mutations,and TTF-1 negativi-ty serving as independent adverse prognostic factors in mucinous INMA.

Objective To comprehensively evaluate the quality difference of Huaihua powder obtained by the hospital's electromagnetic furnace decoction method and automatic decoction machine decoction method.Methods Five methods(induction cooker decoction(once decoction,twice decoction),normal pressure decoction(once decoction,twice decoction),and pressure decoction)were used to prepare the decoction.The HPLC method used a Shiseido CAPCELL PAK-C18(250 mm×4.6 mm,5 μm)column,with a UV detection wavelength of 254 nm,mobile phase of acetonitrile 0.1%phosphoric acid water,column temperature of 30℃,flow rate of 1.0 mL/min,and detection of index components including rutin,naringin,quercitrin,neohesperidin,quercetin,and menthone.The extraction rate of the index components was calculated and the cream yield of each decoction was detected.The evaluation of quality differences is based on the comprehensive score of cream yield(40%)and indicator components(60%).Results The HPLC fingerprint similarity of Huaihua powder prepared by 5 decoction methods was greater than 99%.There was no significant difference(P>0.05)in the yield of ointment and the content of indicator components between the induction cooker one decoction and the induction cooker twice decoction methods.The yield of ointment and the extraction rate of indicator components were significantly higher in twice normal pressure decoction using a decoction machine than once normal pressure decoction using a decoction machine(P<0.05).The index component score of machine under pressure decoction once was the highest,but the comprehensive score of twice normal pressure decoction was the highest,with a combined score of 92.13 and 89.58,respectively,far higher than the 36.01,18.79,and 15.60 of the other three decoction methods.Classify the decoction into three categories through cluster analysis.Orthogonal partial least squares-discriminant analysis was used to screen for rutin,naringin and neohesperidin as differential biomarkers.Conclusion The quality of Huaihua powder decocted by a decoction machine is significantly better than that by an induction cooker,and the twice decocted at normal pressure by the decoction machine are significantly better than those decocted at normal pressure once.Decoction under pressure once may be a better choice.

Objective To investigate the role and mechanism of bergapten in treating osteoarthritis(OA)based on network pharmacology,molecular docking and in vitro experiments.Methods The functional targets of bergapten and the related targets of OA disease were obtained by searching Super-Pred,Swiss Target Prediction,Drug Bank.The obtained targets were intersected with Venny2.1.0,protein-protein interaction(PPI)analysis was performed using the STRING database,and molecular docking was conducted by AutoDock Vina.Subsequently,human chondrocyte C28/I2 cells were subjected in the following validation experiments.After the cells were treated with 0～50 μmol/L bergapten for 24,48 or 72 h,CCK-8 assay,RT-qPCR and immunofluorescence assay were used to detect the proliferation and apoptosis,and the expression of the molecules related to proliferation,inflammation and senescence(senescence associated secretory phenotype,SASP).Senescence β-galactosidase(SA-β-Gal)staining kit was employed to detect the change of SA-β-Gal level in the cells.Results There obtained 145 potential targets of bergapten for OA.PPI analysis revealed 4 potential core targets,HSP90AA1,EGFR,HIF1A,and PIK3CA,and they could form relatively stable complex with bergapten.CCK-8 assay showed that 10 μmol/L bergapten treatment for 48 h resulted in the highest proliferative activity of C28/12 cells(P＜0.05).Immunofluorescence assay,RT-qPCR and Western blotting indicated that bergapten treatment induced significant increases in the expression of cell proliferation markers such as PCNA,CCND1 and CCNE1(P＜0.05),while decreases in the expression of apoptosis markers Caspase3 and BAX(P＜0.05).Meanwhile,the expression levels of IL-1β-induced inflammatory factors IL-6 and TNF-α were reduced,while those of anti-inflammatory factors IL-4 and IL-10 were elevated after bergapten treatment(P＜0.05).The levels of SASP factors,such as P16,P21,MMP9 and MMP13 were also significantly declined(P＜0.05).SA-β-Gal staining displayed that the level of SA-β-Gal in C28/I2 cells was significantly enhanced after IL-1β induction(P＜0.05),while bergapten treatment could decrease the positive cell rate of the staining(P＜0.05).Conclusion Bergapten can reduce the expression of SASP factors such as IL-6,TNF-α,P16,P21,MMP9 and MMP13 in IL-1 β-stimulated chondrocytes,and thus exerts its anti-inflammatory and anti-aging effects in delaying the progression of OA.

Objective:To investigate the application value of cardiac magnetic resonance imaging(CMR) in evaluating the perioperative risk of surgical treatment in patients of coronary artery disease and heart failure with reduced ejection fraction.Methods:A total of 78 patients diagnosed with CAD and HFrEF who underwent CABG in Beijing Anzhen Hospital from January 2018 to October 2021 were retrospectively enrolled. All patients underwent CMR examination before CABG. The perioperative data of the two groups were compared, and the risk factors that may lead to perioperative MACCE were analyzed by LASSO regression. Then, logistic regression was used to establish a prediction model and internal validation was performed to evaluate the diagnostic efficiency and accuracy of the model by Bootstrap method. Results:There were 24 patients(30.8%) with perioperative MACCE and 54 patients(69.2%) without perioperative MACCE. LASSO regression was used to screen out three factors related to the outcome. Multivariate logistic regression analysis showed that LGE in the third and eighth segment of left ventricle and diastolic radial strain rate were independent risk factors for perioperative MACCE. The area under the curve of the prediction model constructed with CMR was 0.799(95% CI: 0.696-0.901), so the discrimination was good. The calibration curve showed that the prediction curve was basically fit to the standard curve, and the Hosmer- Lemeshow test P=0.797, indicating high prediction accuracy. Conclusion:CMR is a valuable test for evaluating perioperative risk in patients with coronary heart disease complicated with HFrEF. To establish the risk prediction model combined with CMR can provide some reference for the assessment of perioperative risk in these patients undergoing surgical treatment.

Objective:To investigate the diagnostic efficacy of differentially expressed proteins in the plasma of prostate cancer patients.Methods:Plasma samples were collected from patients who visited the Department of Urology at the Second Affiliated Hospital of Soochow University from January to March 2023. Among them，there were 30 patients with prostate cancer，aged（75.10 ± 9.33）years，with a median serum PSA value of 24.60（5.38，516.00）ng/ml，and 30 patients with benign prostatic hyperplasia，aged（72.90 ± 7.30）years，with a median serum PSA value of 2.21（0.44，4.38）ng/ml Label-free quantitative proteomic technology was used to detect differentially expressed proteins in the plasma. Combined with TCGA transcriptome changes and relevant literature，the differentially expressed candidate proteins with the most significant up-regulation were selected.In addition，prostate biopsy tissue samples were collected from another 14 patients who visited the Department of Urology at the Second Affiliated Hospital of Soochow University from September to November 2023. Among them，there were 8 patients with prostate cancer，aged（72.25 ± 6.52）years，with a median serum PSA value of 74.65（5.63，151.00）ng/ml，and 6 patients with benign prostatic hyperplasia，aged（70.83 ± 5.04）years，with a median serum PSA value of 5.06（3.34，28.70）ng/ml. Immunohistochemical staining was performed using antibodies corresponding to the candidate proteins to analyze the expression differences of the candidate proteins between the 8 prostate cancer cases and the 6 benign prostatic hyperplasia cases.Plasma samples were collected from 44 patients with prostate diseases who visited the Department of Urology at the Second Affiliated Hospital of Soochow University from March to September 2023. Among them，there were 30 patients with prostate cancer，aged（71.58 ± 7.99）years，with a median serum PSA value of 29.85（1.25，108.00）ng/ml，and 14 patients with benign prostatic hyperplasia，aged（69.00 ± 8.94）years，with a median serum PSA value of 1.78（0.61，12.40）ng/ml. Area under the curve（AUC）was calculated to analyze the diagnostic efficacy of each protein for prostate cancer. Detect the expression levels of candidate proteins in plasma by ELISA，draw the ROC curve，calculate the area under the curve（AUC），and analyze the diagnostic efficacy of each protein for prostate cancer.Results:A total of 34 most significant upregulated proteins and 72 downregulated proteins were detected by proteomics and eight proteins were detected by referring to TCGA data and literatures. Percentage of positive cells of SPON2，FGB，PCSK6，ORM1，ORM2，HP，SND1，and SUSD2 in prostate cancer tissues（51.97 ± 10.81，42.97 ± 6.76，49.83 ± 12.46，53.85 ± 11.52，50.46 ± 11.13，39.69 ± 10.96，52.01 ± 13.03，45.92 ± 9.55）were significantly higher than in BPH（36.31 ± 19.87，21.85 ± 10.99，21.59 ± 5.61，20.36 ± 4.75，24.38 ± 11.55，20.75 ± 3.75，23.60 ± 6.51，19.69 ± 8.45）（ P < 0.05）. FGB，HP，and ORM1 were significantly increased in plasma of prostate cancer patients compared to BPH patients（ng/ml）［（689.9 ± 659.7）ng/ml vs.（200.0 ± 127.1）ng/ml，（1.819 ± 0.833）ng/ml vs.（1.126 ± 0.362）ng/ml，（733.5 ± 385.0）ng/ml vs.（344.7 ± 214.6）ng/ml， P < 0.05］，with AUC values 0.803，0.781，and 0.832，respectively. The combined diagnostic efficacy of the three proteins FGB，HP，and ORM1 for prostate cancer is significantly better than that of any single protein（AUC = 0.953），with higher sensitivity（81.48%）and specificity（100.0%）. Conclusions:FGB，HP，ORM1 were significantly increased in plasma of prostate cancer patients compared to BPH patients，indicating higher diagnostic efficacy. The combined diagnostic efficacy FGB，HP，and ORM1 for prostate cancer is significantly better than that of any single protein，and they exhibit higher sensitivity and specificity.

Objective:To study the relationship between urinary arsenic methylation metabolism patterns and skin keratinization and pigmentation abnormalities in population exposed to arsenic through drinking water.Methods:Using a cross-sectional study method, a survey on endemic arsenic poisoning was conducted among permanent residents of drinking water endemic arsenic poisoning areas in Bayannur City, Inner Mongolia Autonomous Region in 2004 (before water improvement). In 2017 (after water improvement), 71 arsenic exposed individuals were followed up as survey subjects. According to the "Diagnosis of Endemic Arsenism" (WS/T 211-2015), the clinical grading of skin injuries (skin keratinization, pigmentation abnormalities) in the survey subjects was evaluated. Urine samples were collected for detection of arsenic methylation metabolite levels by high-performance liquid chromatography inductively coupled plasma mass spectrometry and calibrated with urinary creatinine. The changes and amplitudes of urinary arsenic methylation indicators before and after water improvement were calculated and analyzed according to the outcome of skin keratinization and pigmentation abnormalities which were divided into reduced, unchanged, and added groups.Results:(1) The changes in urinary total arsenic (TAs), inorganic arsenic (iAs), monomethyl arsenic (MMA), and dimethyl arsenic (DMA) levels in different outcome groups of skin keratinization were compared, and the differences were statistically significant ( H = 9.08, 8.77, 9.28, 8.57, P < 0.05). The changes in urinary TAs, iAs, MMA, DMA levels, iAs percentage (iAs%), DMA percentage (DMA%), and primary methylation index (PMI) in different outcome groups of skin pigmentation abnormalities were compared, and the differences were statistically significant ( H = 8.04, 10.67, 8.29, 9.14, 6.30, 9.10, 7.20, P < 0.05). (2) The comparison of amplitudes in urinary TAs, iAs, MMA, and DMA levels in different outcome groups of skin keratinization showed statistically significant differences ( H = 6.92, 7.34, 6.66, 6.16, P < 0.05). The amplitudes in urinary iAs level, iAs%, DMA%, and PMI in different outcome groups of skin pigmentation abnormalities were compared, and the differences were statistically significant ( H = 7.94, 7.61, 9.95, 7.22, P < 0.05). Conclusion:The changes pattern of urinary TAs, iAs, MMA, DMA, iAs%, DMA%, and PMI in population exposed to arsenic through drinking water is related to the transformation of skin keratinization and pigmentation abnormalities.

Objective:To study the relationship between the levels of multiple elements in urine and the risk of arsenic poisoning in populations exposed to drinking water arsenic in Inner Mongolia Autonomous Region (Inner Mongolia).Methods:From April 2023 to January 2024, a case-control study method was used to select 128 individuals with a residence time of ≥10 years in drinking water arsenic exposed areas in Inner Mongolia as study subjects. Eighty-one individuals diagnosed with arsenic poisoning were selected as the case group, and 47 healthy individuals were selected as the control group for urine sample collection and questionnaire survey. Inductively coupled plasma mass spectrometry was employed to determine the levels of 10 elements (chromium, manganese, cobalt, nickel, copper, zinc, arsenic, molybdenum, cadmium and lead) in urine. The levels of each element in urine were divided into four groups ( Q1, Q2, Q3, and Q4 groups) based on quartiles. The associations between the levels of various elements in urine and the risk of arsenic poisoning were studied using binary logistic regression model and restricted cubic spline (RCS). Results:The age of the control group and the case group [ M ( Q1, Q3)] were 61 (53, 69) and 61 (56, 67) years old, respectively. There were 19 and 43 males, and 28 and 38 females, respectively. There was no statistically significant differences in age and and gender composition between the two groups ( Z = - 0.39, P = 0.700; χ 2 = 1.91, P = 0.167). The levels of urinary copper and cadmium of the case group were higher than those of the control group, and the differences were statistically significant ( Z = - 2.66, - 2.16, P < 0.05). The results of univariate logistic regression analysis showed that urinary copper was an influencing factor for arsenic poisoning ( P = 0.017). The results of multivariate logistic regression analysis revealed that after adjusting for covariates, urinary copper and arsenic were independent influencing factors of arsenic poisoning ( P < 0.05). Taking Q1 group as a reference, urinary copper in Q3 group [ OR (95% CI) = 8.23 (1.81, 37.39), P = 0.006] increased the risk of arsenic poisoning, while urinary arsenic in Q2, Q3, and Q4 groups [ OR (95% CI) = 0.24 (0.06, 0.92), 0.12 (0.03, 0.53), 0.15 (0.04, 0.63), P < 0.05] decreased the risk of arsenic poisoning. After adjusting for covariates, RCS did not show a dose-response relationship between urinary copper, urinary arsenic, and arsenic poisoning ( P > 0.05). Conclusion:Urinary arsenic and copper are associated with the risk of arsenic poisoning in the drinking water arsenic exposed areas of Inner Mongolia, copper exposure may contribute significantly to arsenic poisoning.

Health behavior motivation significantly affects the quality of life of patients with cardiovascular diseases.Assessing the level of health behavior motivation can measure the health behavior of individuals,help to promote the participation rate of cardiac rehabilitation,reduce the readmission rate of patients,and promote patients'healthy lifestyles.This article reviews the content,characteristics and application of assessment tools for health behavior motivation of patients with cardiovascular diseases at home and abroad,with the aim of providing references for the development and application of such tools in China,and offering a basis for scientifically assessing their health behavior motivation level and formulating effective strategies to promote health behavior motivation.