Objective: To explore the association between meat consumption and anxiety symptoms in first year junior high school students in Yunnan Province, and to provide theoretical support for preventing and relieving anxiety symptoms in junior high school students. Methods: From October to December 2022, a random cluster sampling method was used to select 8 500 first year junior high school students from 11 counties in Yunnan Province as the survey subjects for a questionnaire survey. The study used Food Frequency Questionnaire and the Chinese version of the Depression Anxiety Stress Scale-21 (DASS-21) to assess the meat consumption and anxiety symptoms of junior high school students.The distribution differences in anxiety symptoms among first year junior high school students with different demographic characteristics were analyzed statistically by using the Chi-square test,and the association between meat consumption and anxiety symptoms in students was analyzed by using a generalized linear model. Results: The detection rate of anxiety symptoms was 48.47%. After controlling for demographic variables and confounding factors, the consumption of livestock meat, poultry meat, processed meat, cured meat, barbecued meat and raw skin meat was statistically significant with anxiety symptoms ( β =-0.05, 0.04, 0.04, 0.08, 0.14, 0.17, all P <0.05). Stratified by ethnicity, The consumption of livestock meat, cured meat and barbecue was statistically correlated with anxiety symptoms in Han adolescents ( β =-0.07, 0.14, 0.22 ); the consumption of processed meat and raw skin meat was statistically correlated with anxiety symptoms in ethnic minority adolescents ( β =0.08, 0.18) (all P <0.05). Conclusions There is a statistical association between meat comsumption and the risk of anxiety symptoms in first year junior high school students in Yunnan Province. Guidance on meat consumption should be strengthened to prevent the occurrence of anxiety symptoms.

Objective: To analyze the trends in incidence and mortality of colorectal cancer in Jinhua City, Zhejiang Province from 2016 to 2024, and to predict the incidence and mortality from 2025 to 2027, so as to provide the evidence for improving regional colorectal cancer prevention and control strategies. Methods: Data on incidence and mortality of colorectal cancer in Jinhua City from 2016 to 2024 were collected through the Zhejiang Chronic Disease Surveillance Information Management System. The crude incidence and crude mortality were calculated, and standardized using the data from the Sixth National Population Census in 2010. Trends in incidence and mortality of colorectal cancer from 2016 to 2024 were analyzed using the average annual percent change (AAPC). A grey Markov model was constructed to predict the incidence and mortality of colorectal cancer from 2025 to 2027. Results: From 2016 to 2024, the crude incidence and standardized incidence of colorectal cancer in Jinhua City were 46.90/100 000 and 30.69/100 000, respectively, showing upward trends (AAPC=4.594% and 2.051%, both P<0.05). The crude mortality and standardized mortality were 17.47/100 000 and 10.36/100 000, respectively, and the trends were not statistically significant (both P>0.05). The standardized incidence and standardized mortality of colorectal cancer in males were higher than those in females (35.38/100 000 vs. 25.68/100 000, 11.96/100 000 vs. 8.57/100 000, both P<0.05). The crude incidence and crude mortality of colorectal cancer in the ≥80 years age group were the highest, at 220.04/100 000 and 186.86/100 000, respectively. From 2016 to 2024, the standardized incidence of colorectal cancer in males and females showed upward trends (AAPC=5.069% and 3.965%, both P<0.05), while the trends in standardized mortality were not statistically significant (all P>0.05). The crude incidence in the 70-<80 years age group showed an upward trend (AAPC=1.320%, P<0.05), and the crude mortality in the 40-<50 years age group showed a downward trend (AAPC=-3.756%, P<0.05). Trends in other age groups were not statistically significant (all P>0.05). The prediction results of the grey Markov model showed that the predicted values of crude incidence and crude mortality of colorectal cancer in the whole population would increase from 58.20/100 000 and 20.04/100 000 in 2025 to 61.70/100 000 and 21.26/100 000 in 2027. Conclusions From 2016 to 2024, the incidence of colorectal cancer in Jinhua City showed upward trends, while the mortality trend was stable. Males and the elderly aged ≥80 years are high-risk populations for colorectal cancer incidence and mortality. It is predicted that both crude incidence and crude mortality will increase from 2025 to 2027.

Objective To investigate the temporal changes in pathological damage and macrophage polarization in liver and spleen tissues of mice infected with Angiostrongylus cantonensis, and to preliminarily unravel the peripheral immune responses during the early stage of A. cantonensis infection. Methods Forty female BALB/c mice at ages of 6 to 8 weeks were randomly divided into four groups, including the control group and 7-, 14-, and 21-day infection groups, with 10 mice in each group. Each mouse in the infection groups was inoculated with 30 third-stage (L3) larvae of A. cantonensis by oral gavage, and five mice were randomly selected from each infection group on days 7, 14, and 21 post-infection, while mice in the control group were given the same volume of physiological saline and five mice were randomly selected from the control group on the day of oral gavage. Mouse liver and spleen tissues were sampled. The histopathological changes of mouse liver and spleen tissues were observed using hematoxylin and eosin (HE) staining, and the percentage of positive staining area and the co-localization positive rates of the macrophage surface antigens F4/80, CD86, and CD206 were quantified in mouse liver and spleen tissues using immunohistochemical and immunofluorescence staining. In addition, five mice were collected from each infection group on days 7, 14, and 21 post-infection, and five mice were collected from the control group on the day of oral gavage. Mouse liver and spleen tissues were sampled for detection of macrophage markers CD86 and CD206 and macrophage phenotyping using flow cytometry, and the expression of M1 macrophage markers, including inducible nitric oxide synthase (Nos2), tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β) and M2 markers, including arginase 1 (Arg1), mannose receptor C-type 1 (Mrc1) and chitinase-like protein 3 (Chil3) was quantified in mouse liver and spleen tissues using real-time quantitative PCR (RT-qPCR) assay. Results Proliferative lesions of the hepatocyte were observed in mouse liver tissues and the follicular structures of the mouse spleen white pulp were disrupted 21 days post-infection with A. cantonensis. Immunohistochemical staining showed that there were significant differences in the percentages of F4/80, CD86 and CD206 positive staining areas in the liver and spleen tissues among the four groups of mice (F = 242.40, 197.14, 183.19, 157.65, 242.35 and 146.24; all P values < 0.001), and the percentages of positive staining in the liver and spleen tissues of mice in the 14-day infection group [(4.45 ± 0.51)%, (3.74 ± 0.67)%, (8.32 ± 0.72)%, (16.56 ± 1.14)%, (11.62 ± 0.52)%, and (8.29 ± 0.72)%, respectively] and the 21-day infection group [(3.70 ± 0.11)%, (3.22 ± 0.43)%, (11.53 ± 1.03)%, (12.59 ± 1.05)%, (9.02 ± 0.83)%, and (11.67 ± 1.10)%, respectively] were higher than in the control group [(0.35 ± 0.16)%, (0.40 ± 0.02)%, (0.93 ± 0.05)%, (2.78 ± 0.26)%, (2.33 ± 0.20)%, and (1.85 ± 0.20)%, respectively] (all P values < 0.05). Immunofluorescence staining showed significant differences in the positive rates of F4/80 co-localization with CD86 and CD206 in mouse liver and spleen tissues among the four groups (F = 24.42, 25.28, 54.51 and 130.55; all P values < 0.001). Flow cytometry detected significant differences in the proportions of CD86⁺ and CD206⁺ macrophages in mouse liver and spleen tissues among the four groups (F = 67.98, 18.41, 29.77, 172.80; all P values < 0.001), and the proportions of CD206⁺ macrophages in the liver and spleen of the 21-day infection group were significantly higher than those in the control group [(9.25 ± 2.55)% vs (3.83 ± 0.72)%, and (4.22 ± 0.56)% vs (0.47 ± 0.18)%, respectively] (both P values < 0.05). In addition, RT-qPCR assay quantified significant differences in the relative mRNA expression of M1 macrophage markers (IL-1β, TNF-α and Nos2) and M2 macrophage markers (Arg1, Chil3 and Mrc1) in mouse liver and spleen tissues among the four groups (F = 41.30, 31.82, 199.33, 19.96, 62.01, 119.76, 23.67, 95.90, 72.27, 82.59, 123.41 and 29.75; all P values < 0.05). Conclusions A. cantonensis infection may cause progressive pathological damage in mouse liver and spleen tissues, accompanied by dynamic temporal changes in macrophage polarization. M1 macrophage polarization predominates at the early stage of A. cantonensis infection and shifts towards M2 polarization at the later stages, suggesting that M2 polarization may participate in immune regulation at late stages of A. cantonensis infection by suppressing excessive inflammatory responses and promoting tissue repair.

ObjectiveTo explore the possible mechanism of Qishao Tongbi Capsule （芪芍通痹胶囊， QTC） in the treatment of intervertebral disc degeneration （IDD）. MethodsSeventy-five rats were randomly divided into control group， model group， low-dose QTC group， high-dose QTC group， high-dose QTC +agonist group， with 15 rats in each group. Except for the control group， all other groups were subjected to a fibrous ring puncture to prepare an IDD model. After modeling， rats in low-dose QTC group and high-dose QTC group were given QTC at doses of 0.2 and 0.8 g/（kg·d） by gavage， respectively. Rats in high-dose QTC+ agonist group was given QTC at 0.8 g/（kg·d） and SKL2001 solution at 10 mg/（kg·d） by gavage. The control group and model group were given 10 ml/（kg·d） distilled water by gavage. All treatments were given once a day for 4 consecutive weeks. After treatment， X-ray and magnetic resonance imaging （MRI） were used to detect IDD degree. Hematoxylin-eosin （HE） staining and Safranin O-Fast Green staining were used to observe the morphological changes of the intervertebral disc tissue. Immunohistochemical staining was performed to examine the levels of proteoglycan， type Ⅱ collagen （COL Ⅱ）， and matrix metalloproteinase-3 （MMP-3） in the intervertebral disc tissue. Western blotting was used to detect the extracellular matrix （ECM）-related proteins （proteoglycan， COL Ⅱ， MMP-3， MMP-9， MMP-13）， aging-related proteins （P53， P21， P16）， apoptosis related proteins， including B-cell lymphoma/leukemia 2 （BCL-2）， BCL-2 related X protein （BAX）， Cleaved Caspase-3， and Wnt/β-catenin pathway related proteins such as Wnt3a， glycogen synthase kinase-3β （GSK-3β） and β-catenin in the intervertebral disc nucleus pulposus （NP） tissue. Reverse Transcription Quantitative Polymerase Chain Reaction （RT-qPCR） was used to assess the mRNA expression of Wnt3a， GSK-3β， and β-catenin in intervertebral disc tissue. ResultsCompared with the model group， rats in the low-dose QTC group and high-dose QTC group exhibited improved DHI， decreased Pfirmann grading， and alleviated IDD. The structural integrity of the NP and annulus fibrosus increased， and the number of the NP increased. The levels of proteoglycan， COL Ⅱ， BCL-2 and GSK-3β increased， while the levels of MMP-3， MMP-9， MMP-13， P53， P21， P16， BAX， Cleaved Caspase-3， Wnt3a and β-catenin protein decreased. The mRNA expression of Wnt3a and β-catenin mRNA decreased， while GSK-3β mRNA expression increased （P＜0.05）. Compared with the low-dose QTC group， the high-dose QTC group showed further improvements in DHI， decrease in Pfirrmann grading （P＜0.05）， and greater alleviation of IDD. The structural integrity of NP and annulus fibrosus was further enhanced， and the number of NP cells further increased. The levels of proteoglycan， COL Ⅱ， BCL-2 and GSK-3β were higher， while the levels of MMP-3， MMP-9， MMP-13， P53， P21， P16， BAX， Cleaved Caspase-3， Wnt3a and β-catenin were lower. The mRNA expression of Wnt3a and β-catenin decreased， while GSK-3β mRNA expression increased （P＜0.05）. Compared with the high-dose QTC group， the high-dose QTC +agonist group showed a decrease of DHI， an increase of Pfirmann grading （P＜0.05）， significant aggravation of IDD， reduction in structural integrity of the NP and annulus fibrosus， a decrease of NP cell count， lower levels of proteoglycan， COL Ⅱ， BCL-2 and GSK-3β， and higher levels of MMP-3， MMP-9， MMP-13， P53， P21， P16， BAX and Cleaved Caspase-3. Additionally， GSK-3β mRNA expression decreased （P＜0.05）. ConclusionQTC can inhibit NP cell aging， apoptosis， and ECM degradation in IDD rats， and its therapeutic effect may be mediated through the inhibition of the Wnt/β-catenin pathway.

Objective: To analyze the trends in incidence and mortality of prostate cancer in Jinhua City, Zhejiang Province from 2016 to 2024, so as to provide the evidence for the improvement of prostate cancer prevention and control measures. Methods: The incidence and mortality data of prostate cancer in Jinhua City from 2016 to 2024 were collected from the Chronic Disease Surveillance Information Management System of Zhejiang Province, and the crude incidence and mortality were calculated. The Chinese Sixth National Population Census in 2010 was used to calculate standardized incidence and mortality. The trends in incidence and mortality of prostate cancer were evaluated using average annual percent change (AAPC). Results: A total of 8 357 cases of prostate cancer were diagnosed in Jinhua City from 2016 to 2024. The crude incidence and standardized incidence were 37.36/100 000 and 21.17/100 000, respectively, showing upward trends (AAPC=16.275%, 12.511%, both P<0.05). There were 1 615 deaths of prostate cancer, and the crude mortality was 7.22/100 000, showing an upward trend (AAPC=5.451%, P<0.05). The standardized mortality was 3.49/105, and the trend showed no statistically significant (P>0.05). There were 28 cases of prostate cancer in individuals under 50 years old, accounting for 0.34%. The crude incidence and crude mortality of patients aged ≥50 years increased with age (both P<0.05). From 2016 to 2024, the crude incidence of prostate cancer in the 50-<60, 60-<70, 70-<80, and ≥80 age groups showed upward trends (AAPC=17.849%, 14.704%, 12.654% and 8.081%, all P<0.05), and the 50-<60 age group increased more quickly. There was no significant change in the crude mortality of prostate cancer among different age groups (all P>0.05). Conclusion From 2016 to 2024, the incidence of prostate cancer in Jinhua City showed an upward trend and had a trend of becoming younger, while the mortality remained relatively stable.

Objective To investigate the utility of combining breast mass growth orientation quantification with the S-Detect technique for predicting axillary lymph node(ALN)metastasis in breast cancer.Methods Data was collected from 163 breast cancer patients admitted to our hospital between March 2023 and October 2024,who were categorized into metastatic(n=62)and non-metastatic(n=101)groups based on ALN pathology results.All patients underwent routine preoperative ultrasound and S-Detect examination.Univariate and multivariate regression analyses were performed to assess the correlation between each observational index and ALN metastasis.Significant indexes were identified through screening,leading to the establishment of a logistic regression prediction model.The predictive value of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Results The univariate analysis revealed statistically significant differences(P<0.05)in the maximum diameter of the mass,border characteristics,margin features,calcification patterns,orientation angle,and blood flow between the two groups.Multifactorial analysis demonstrated that calcification,border characteristics,orientation angle,margin features,and maximum diameter independently influenced the prediction of axillary lymph node(ALN)status in breast cancer patients(P<0.05).Consequently,a logistic regression prediction model was constructed as follows:Y=-7.995+2.299×maximal diameter+1.171×border+2.137×margin+1.397×calcication+0.034×orientation angle.The area under curve(AUC)for this combined prediction model was 0.869 which significantly outperformed each independent influencing factor alone(P<0.05),indicating good agreement between this joint prediction model and pathological results(Kappa=0.701,P<0.05).Conclusions Quantification of the orientation angle of a breast mass aids in predicting axillary lymph node(ALN)metastasis and enhances the interpretation and application of non-parallel orientations.The combination of quantifying growth orientation based on breast mass with artificial intelligence S-Detect technique demonstrates promising predictive value for ALN metastasis in breast cancer,providing a reference basis for personalized treatment.

Objective: To investigate the value of the Chinese visceral adiposity index (CVAI) in predicting hypertension risk, so as to provide a tool for the early assessment of hypertension risk. Methods: Health examination individuals aged ≥18 years were selected from four medical institutes in Jinhua City, Zhejiang Province in 2022. Data on basic information, lifestyle, disease history, body mass index, waist circumference, blood pressure, and blood biochemical indicators were collected through questionnaire surveys and physical examinations. CVAI was calculated to assess levels of visceral fat accumulation, divided by quartiles into Q1, Q2, Q3, and Q4 groups. The relationship between CVAI and hypertension was analyzed using a multivariable logistic regression model, and their dose-response relationship was examined using a restricted cubic spline model. The value of CVAI in predicting hypertension risk was evaluated using receiver operating characteristic (ROC) curve. Results: A total of 23 791 individuals were enrolled, with a median age of 68.00 (interquartile range, 14.00) years. Among them, 10 178 (42.78%) were males and 13 613 (57.22%) were females. The median CVAI was 111.40 (interquartile range, 48.23). Hypertension was identified in 15 563 cases, with a prevalence of 65.42%. After adjusting for lifestyle, disease history, and blood biochemical indicators, the multivariable logistic regression analysis revealed that hypertension risk in the CVAI Q2, Q3, and Q4 groups were 2.012 (95%CI: 1.865-2.170), 3.059 (95%CI: 2.826-3.311), and 5.099 (95%CI: 4.672-5.565) times that of the Q1 group, respectively. The restricted cubic spline model revealed a non-linear relationship between CVAI and hypertension risk (Pnon linearity<0.05). Hypertension risk increased more rapidly when the CVAI was ≥81.03. The area under the ROC curve for CVAI in predicting hypertension risk was 0.691, with an optimal cutoff value of 106.01, which falls within the Q2 group. Conclusions There was a nonlinear dose-response relationship between CVAI and hypertension. CVAI can predict the risk of hypertension, and 106.01 can serve as an early warning threshold for risk screening.

Objective To evaluate the predictive value of dual-modality ultrasound,incorporating conventional ultrasound and ultrasound elastography,in combination with S-Detect for cervical lymph node metastasis(CLNM)in patients with papillary thyroid carcinoma(PTC).Methods A retrospective analysis was conducted on the clinical data of 135 patients diagnosed with PTC who received treatment at the First Affiliated Hospital of Shihezi University between November 2023 and August 2024.For all patients,clinical baseline characteristics,conventional ultrasound findings,ultrasound elastography results,and S-Detect analysis data were collected.Independent predictors of CLNM in PTC were identified,and predictive models were developed.Receiver operating characteristic(ROC)curves were generated to compare the area under the curve(AUC)of the models.The most effective predictive model was selected to construct a risk probability nomogram,and the predictive performance and clinical applicability of this nomogram were subsequently evaluated.Results Age,maximum nodule diameter,boundary characteristics,capsular invasion,transverse-sectional morphological findings assessed by S-Detect,and ECI-based elasticity grading were identified as independent predictors of CLNM in PTC(all P<0.05).The AUC of the predictive model constructed using these six variables was 0.890(95%CI:0.835～0.945).The calibration curve demonstrated strong agreement between predicted and observed outcomes,and decision curve analysis indicated that the nomogram provided a favorable net clinical benefit within a threshold probability range of 2%to 91.5%.Conclusions Age,maximum nodule diameter,boundary characteristics,capsular invasion,sonographic features assessed by S-Detect in the transverse plane,and ECI-based elasticity grading are independent predictors of CLNM in PTC.A nomogram model incorporating these parameters demonstrates effective performance in predicting the likelihood of CLNM.

Objective To evaluate the predictive value of dual-modality ultrasound,incorporating conventional ultrasound and ultrasound elastography,in combination with S-Detect for cervical lymph node metastasis(CLNM)in patients with papillary thyroid carcinoma(PTC).Methods A retrospective analysis was conducted on the clinical data of 135 patients diagnosed with PTC who received treatment at the First Affiliated Hospital of Shihezi University between November 2023 and August 2024.For all patients,clinical baseline characteristics,conventional ultrasound findings,ultrasound elastography results,and S-Detect analysis data were collected.Independent predictors of CLNM in PTC were identified,and predictive models were developed.Receiver operating characteristic(ROC)curves were generated to compare the area under the curve(AUC)of the models.The most effective predictive model was selected to construct a risk probability nomogram,and the predictive performance and clinical applicability of this nomogram were subsequently evaluated.Results Age,maximum nodule diameter,boundary characteristics,capsular invasion,transverse-sectional morphological findings assessed by S-Detect,and ECI-based elasticity grading were identified as independent predictors of CLNM in PTC(all P<0.05).The AUC of the predictive model constructed using these six variables was 0.890(95%CI:0.835～0.945).The calibration curve demonstrated strong agreement between predicted and observed outcomes,and decision curve analysis indicated that the nomogram provided a favorable net clinical benefit within a threshold probability range of 2%to 91.5%.Conclusions Age,maximum nodule diameter,boundary characteristics,capsular invasion,sonographic features assessed by S-Detect in the transverse plane,and ECI-based elasticity grading are independent predictors of CLNM in PTC.A nomogram model incorporating these parameters demonstrates effective performance in predicting the likelihood of CLNM.

Objective To investigate the utility of combining breast mass growth orientation quantification with the S-Detect technique for predicting axillary lymph node(ALN)metastasis in breast cancer.Methods Data was collected from 163 breast cancer patients admitted to our hospital between March 2023 and October 2024,who were categorized into metastatic(n=62)and non-metastatic(n=101)groups based on ALN pathology results.All patients underwent routine preoperative ultrasound and S-Detect examination.Univariate and multivariate regression analyses were performed to assess the correlation between each observational index and ALN metastasis.Significant indexes were identified through screening,leading to the establishment of a logistic regression prediction model.The predictive value of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Results The univariate analysis revealed statistically significant differences(P<0.05)in the maximum diameter of the mass,border characteristics,margin features,calcification patterns,orientation angle,and blood flow between the two groups.Multifactorial analysis demonstrated that calcification,border characteristics,orientation angle,margin features,and maximum diameter independently influenced the prediction of axillary lymph node(ALN)status in breast cancer patients(P<0.05).Consequently,a logistic regression prediction model was constructed as follows:Y=-7.995+2.299×maximal diameter+1.171×border+2.137×margin+1.397×calcication+0.034×orientation angle.The area under curve(AUC)for this combined prediction model was 0.869 which significantly outperformed each independent influencing factor alone(P<0.05),indicating good agreement between this joint prediction model and pathological results(Kappa=0.701,P<0.05).Conclusions Quantification of the orientation angle of a breast mass aids in predicting axillary lymph node(ALN)metastasis and enhances the interpretation and application of non-parallel orientations.The combination of quantifying growth orientation based on breast mass with artificial intelligence S-Detect technique demonstrates promising predictive value for ALN metastasis in breast cancer,providing a reference basis for personalized treatment.