As a form of Tuina(Chinese therapeutic massage)Qigong exercises and an essential part of exercise therapy,static training has proven clinical efficacy.However,further evidence is required to reveal its mechanism of action provided by animal experiments.There are four major ways to establish static training animal models:pole climbing,hind-limb suspension,isometric-contraction weight bearing,and electrical stimulation.These models have been used to study diseases of the motor,circulatory,and endocrine systems,etc.,and the mechanism has got extensive exploration.It reviewed static training animal models and the research progress to provide theoretical evidence for static training's experimental research and mechanism exploration.

Objective:To explore the diagnostic value of radiomics features based on chest CT plain scan in differentiating thymoma from other anterior mediastinal lesions.Methods:The data of 128 patients with anterior mediastinal lesions from January 2018 to January 2021 in the Affiliated Hospital of Jiangsu University were retrospectively analyzed. According to the pathological criteria, all patients were divided into thymoma group (67 cases) and non-thymoma group (61 cases). The radiomics analysis module based on MATLAB platform was used to analyze images of CT plain scan, and then radiomics features of the whole lesions were extracted. The radiomics features were screened by using group difference analysis, Boruta algorithm and collinearity detection stepwise. The receiver operating characteristic (ROC) curves for the single diagnosis and the combined diagnosis of thymoma were plotted with the selected features, and the area under the curve (AUC) was calculated to analyze the diagnostic performance of the selected features.Results:A total of 851 radiomics features were extracted, and 4 radiomics features with statistically significant differences were finally selected after multi-step dimensionality reduction, including robust mean absolute deviation, gray level non-uniformity, wavelet-LLH run variance and wavelet-HLL dependence non-uniformity. ROC curves analysis showed that the AUC of 4 radiomics features was 0.712, 0.634, 0.660 and 0.699, respectively in the single diagnosis; the specificity was 70.2%, 61.2%, and 61.2%, respectively; and the sensitivity was 60.7%, 60.6%, 68.8% and 70.5%, respectively. AUC value of the four combined detection was 0.881, the sensitivity and specificity was 75.4% and 89.6%, respectively; and the diagnostic efficiency was significantly improved.Conclusion:The radiomics features based on CT plain sans have a certain value and application potential in the differential diagnosis of thymoma and other anterior mediastinal lesions.

Objective:To clarify the evidences of hippocampal injury after radiotherapy avoiding hippocampus and explore its relationships with cognition.Methods:A prospective design was adopted in this study.A total of 183 patients with nasopharyngeal carcinoma treated by intensity modulated radiation therapy (IMRT group) and 30 matched healthy control (HC group)were collected in the Affiliated Hospital of Jiangsu University and Southeast University Affiliated Zhongda Hospital from January 2017 to December 2019. All subjects were assessed by Montreal Cognitive Assessment (MoCA-B) at baseline and 6 months after radiotherapy, then the patients with nasopharyngeal carcinoma were divided into cognitive impairment group and non-cognitive impairment group. Subjects were scanned with Siemens 3.0 T MR, and T 1WI was used as analysis sequence.The individual standardized hippocampus ROIs were extracted based on Montreal Neurological Institute(MNI) brain template.All texture features were calculated using the Radiomics developed by C++and Delphi, and the intra group correlation coefficients (ICC), average direction, machine learning (random forest) and autocorrelation matrix were used for reducing the features dimension. One-way ANOVA and generalized linear models were used to compare the differences among different groups. Pearson correlations analyses were used to evaluate the relationships between important texture features and clinical data. Logistic regressions were used to calculate the abilities of texture features to predict cognitive impairment. Results:After 9 patients who lost follow-up were excluded, a total of 164 patients with nasopharyngeal carcinoma were included as IMRT group.Texture features of ROIs were extracted and dimensionally reduced successfully. Five differences features (Variance, Entropy, GlevNonU, RLNonUni and Contrast)were found among HC group, cognitive impairment group and non-cognitive impairment group, and the last three further showed significant differences within IMRT group (GlevNonU, P=0.011;RLNonUni, P<0.001;Contrast, P<0.001). Hippocampal doses were positively correlated with Variance ( r=0.448, P<0.05), and negatively correlated with Entropy ( r=-0.461, P<0.05). There was a positive correlation between MoCA-B scores with GlevNonU, RLNonUniand Contrast ( r=0.503, P<0.05; r=0.587, P<0.05; r=0.531, P<0.05). GlevNonU and Contrast were independent predictors of cognitive impairment in hippocampal avoidance of radiotherapy (OR=0.731, 95%CI 0.610-0.857; OR=0.651, 95%CI 0.496-0.853). Conclusion:Results of texture analysis could be used as micro imaging evidences of hippocampal injury in radiotherapy avoiding hippocampus, and could also effectively predict the occurrences of cognitive impairment.

Objective: To analyze the trends in mortality of liver cancer in Wenzhou City, Zhejiang Province from 2014 to 2022, so as to provide the evidence for improving liver cancer control measures. Methods: Data of liver cancer mortality in Wenzhou City from 2014 to 2022 were collected from Wenzhou Chronic Disease Monitoring Information System. The crude mortality were estimated and standardized by the national population census data in China in 2010, and the trends in mortality of liver cancer were analyzed with average annual percent change (AAPC). Results: There were 22 033 liver cancer deaths from 2014 to 2022, accounting for 18.08% of malignant tumor deaths and ranking the second in malignant tumor deaths. The crude mortality of liver cancer was 30.00/105 and the standardized mortality was 24.32/105, both showing decreasing trends (AAPC=-2.812% and -5.742%, both P<0.05). The standardized mortality of liver cancer were higher in men than in women (36.66/105 vs. 11.21/105, P<0.05), both showing decreasing trends (AAPC=-5.702% and -5.521%, both P<0.05). The crude mortality of liver cancer appeared a tendency towards a rise with age (P<0.05), with the highest crude mortality in the group aged 80 to 84 years, reaching 145.12/105. The crude mortality of liver cancer showed a tendency towards a decline among residents aged under 15 years, 15 to 44 years, 45 to 64 years and 65 years and above (AAPC=-20.311%, -6.569%, -7.408% and -3.177%, all P<0.05). Conclusions The mortality of liver cancer showed a tendency towards a decline in Wenzhou City from 2014 to 2022. Men and the elderly were high-risk groups for liver cancer deaths, and prevention should be strengthened based on risk factors.

OBJECTIVETo observe the effects of Shuxuening Injection (SI) on the levels of serum matrix metalloproteinase-9 (MMP-9) and tissue inhibitor of metalloproteinase (TIMP-1) in acute exacerbated chronic obstructive pulmonary disease (COPD) patients.

METHODSSeventy-nine patients with acute exacerbated COPD were randomly assigned to the treatment group (39 cases) and the control group (40 cases). Routine therapies for COPD were given to patients in the control group, while 15 mL SI was given to those in the treatment group by intravenous dripping, twice daily for total 14 days. The forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) were detected by Spirometer. The FEV1/FVC (%) and the FEV1% were calculated. The levels of serum MMP-9 and TIMP-1 were detected using ELISA before and after treatment, and compared with 20 healthy subjects as the control.

RESULTSThe FEV1, FVC, FEV1/FVC (%), and FEV1% were significantly improved after treatment in the treatment group when compared with before treatment and with the control group (P < 0.05, P < 0.01). When compared with before treatment and with the control group, the levels of serum MMP-9, TIMP-1, and the ratio of MMP-9/TIMP-1 decreased more significantly in the treatment group after treatment (P < 0.01). Correlation analyses showed that obvious negative correlation existed between the levels of serum MMP-9 and TIMP-1 and FEV1/FVC (%) (r = -0.677, -0.629, P < 0.01). Obvious negative correlation existed between the levels of serum MMP-9 and TIMP-1 and FEV1% (r = -0.562, -0.661, P < 0.01). Furthermore, obvious negative correlation also existed between the ratio of MMP-9/ TIMP-1 and FEV1%, as well as FEV1/FVC (%) (r = -0.732, -0.891, P < 0.01).

CONCLUSIONSSI could improve the pulmonary ventilation function of acute exacerbated COPD patients. One of its mechanisms might be correlated with lowering the serum levels of MMP-9 and TIMP-1, and correcting the imbalance of MMP-9/TIMP-1.

Drugs, Chinese Herbal ; pharmacology ; therapeutic use ; Female ; Humans ; Male ; Matrix Metalloproteinase 9 ; blood ; Middle Aged ; Phytotherapy ; Pulmonary Disease, Chronic Obstructive ; blood ; drug therapy ; Tissue Inhibitor of Metalloproteinase-1 ; blood

Objective: To investigate the mortality and life loss of female breast cancer in Wenzhou City, Zhejiang Province from 2014 to 2022, so as to provide the evidence for prevention and control of breast cancer. Methods: Data of female breast cancer deaths in Wenzhou City were collected through the Wenzhou Chronic Disease Monitoring and Management information System from 2014 to 2012. The mortality of breast cancer was calculated, and standardized by the data from the Sixth Chinese National Population Census in 2010 (Chinese-standardized rate) and the world standard population first introduced by Segi (world-standardized rate). The life loss were measured using potential years of life lost (PYLL), rate of potential years of life lost (PYLLR) and average years of life lost (AYLL). The trends in mortality, PYLLR and AYLL were analyzed using the average annual percent change (AAPC). Results: Totally 2 523 deaths were reported due to breast cancer from 2014 to 2022, ranking fifth in the order of female malignant tumor deaths. The crude mortality of female breast cancer was 7.13/105, showing an increasing trend with AAPC of 2.186% (P<0.05). The Chinese population-standardized mortality and global population-standardized mortality were 5.93/105 and 4.39/105, showing no significant trend with AAPC of -0.617% and -0.602% (both P>0.05), respectively. The crude mortality of female breast cancer appeared a tendency towards a rise with age (P<0.05). The crude mortality of breast cancer in females aged 65 years and older showed an increasing trend (AAPC=3.283%, P<0.05), but there were no significant tendency aged 15 to <45 years and 45 to <65 years (AAPC=-1.011% and -1.850%, both P>0.05). The PYLL, PYLLR and AYLL of breast cancer were 41 227.50 person-years, 1.23‰ and 19.44 years per person, respectively. AYLL showed a decreasing trend (AAPC=-1.969%, P<0.05), and PYLLR showed no significant trend (AAPC=-0.527%, P>0.05). Conclusions The mortality of female breast cancer in Wenzhou City appeared a tendency towards a rise from 2014 to 2022, and AYLL appeared a downward trend. Females aged 65 years and older were the key groups for the prevention and control of breast cancer.

Tumor immune microenvironment has been the focus of tumor research in recent years, and its role in tumor regulation has become prominent and has received increasing attention. The imbalance of the tumor immune microenvironment plays an important role in promoting tumor progression, and the adjustment of its instability plays an important role in controlling tumor progression. The theoretical idea of Traditional Chinese Medicine's "Yipingweiqi" is basically the same as that of modern medicine of controlling tumors by maintaining the balance of the immune microenvironment. This study discusses the aspects of tumor immune microenvironment, its destabilization, relationship to tumor progression, importance in Traditional Chinese Medicine, and regulation by Traditional Chinese Medicine with different treatments. In particular, this work focuses on the role of Traditional Chinese Medicine in maintaining the balance of the tumor immune microenvironment and its potential mechanism by using qi benefit, yang warming, dampness eliminating, and heat clearing under the guidance of the principle of "Yipingweiqi". Results will provide reference for the application of Traditional Chinese Medicine in the diagnosis and treatment of tumors.

Objective:To explore the structural brain network changes in healthy first-degree relatives of depressed patients and their relationship with depressive episodes.Methods:Prospectively, 200 healthy first-degree relatives of depressed patients admitted to Jiangsu University Hospital from May 2017 to June 2018 were collected. Meanwhile, 50 matched healthy controls without family history of depression (HC/FH-) were collected by questionnaire in the nearby community as study subjects. All study subjects underwent systemic magnetic resonance imaging scans and assessment of relevant scales after enrollment, followed by longitudinal follow-up (every 3 months) for up to 3 years. The diagnostic and statistical manual of mental disorders, 4th edition, structured interview was used to assess whether the subjects became depressed during the follow-up period. First-degree relatives who experienced depression during follow-up were included in the group of first-degree relatives who experienced depression (DD/FH+), whereas first-degree relatives who did not experience depression were included in the group of first-degree relatives who did not experience depression (HC/FH+). Subjects′ depression severity and whether they experienced major stressful life events were assessed by the 24-item Hamilton Depression Rating Scale (HDRS) and the Holmes and Rahe Social Readjustment Rating Scale, respectively. Correlations between subjects′ brain structural networks and HDRS scores were explored based on Pearson correlation analysis. Logistic regression models were constructed to investigate the predictive efficacy of brain structural network attributes on depression.Results:Significant group differences existed in the HC/FH- group (50 cases), HC/FH+ group (115 cases), and DD/FH+ group (21 cases) in feeder connectivity (17.62±1.34, 17.03±1.39, 15.82±1.12, F=13.63, P<0.001), global efficiency (0.24±0.03, 0.23±0.03, 0.22±0.03, F=4.73, P=0.010), right insula node efficiency (0.20±0.02, 0.21±0.01, 0.20±0.01, F=4.62, P=0.011), left hippocampal node efficiency (0.27±0.01, 0.27±0.01, 0.24±0.02, F=18.56, P<0.001), and left amygdala node efficiency (0.24±0.02, 0.24±0.02, 0.23±0.01, F=3.40, P=0.036). Logistic regression models showed feeder connectivity ( OR=0.55, 95% CI 0.38-0.78, P=0.001) and left hippocampal nodal efficiency ( OR=0.58, 95% CI 0.40-0.81, P<0.001) predicted the occurrence of final depression and had good predictive efficacy with an area under the curve of 0.75, 0.78, respectively. Correlation analysis showed that feeder connectivity ( r=-0.58, P=0.006) and left hippocampal node efficiency ( r=-0.60, P=0.004) at baseline in the DD/FH+ group correlated with their HDRS scores at the first follow-up. Conclusion:Among healthy first-degree relatives of depressed patients, those who exhibit decreased feeder connectivity and left hippocampal nodal efficiency are susceptible to developing this disease.

Objective: Recurrence is the most significant feature of depression and the relationship between iron and recurrent depression is still lack of direct evidence in vivo. Methods: Twenty-one patients with depression and twenty control subjects were included. Gradient-recalled echo, T1 and T2 images were acquired using a 3.0T MRI system. After quantitative susceptibility mapping were reconstructed and standardized, a whole-brain and the regions of interest were respectively analyzed. Results: Significant increases in susceptibility were found in multiple recurrent depression patients, which involved several brain regions (frontal lobes, temporal lobe structures, occipital lobes hippocampal regions, putamen, thalamus, cingulum, and cerebellum). Interestingly, no susceptibility changes after treatment compared to pre-treatment (all p>0.05) and no significant correlation between susceptibility and Hamilton Depression Rating Scale were found. Besides, it was close to significance that those with a higher relapse frequency or a longer mean duration of single episode had a higher susceptibility in the putamen, thalamus, and hippocampus. Further studies showed susceptibility across the putamen (ρ2=0.27, p<0.001), thalamus (ρ2=0.21, p<0.001), and hippocampus (ρ2=0.19, p<0.001) were strongly correlated with total course of disease onset. Conclusion Brain iron deposition is related to the total course of disease onset, but not the severity of depression, which suggest that brain iron deposition may be a sign of brain damage in multiple recurrent depression.

Objectives: . The necessity to develop a method for prognostication and to identify novel biomarkers for personalized medicine in patients with head and neck squamous cell carcinoma (HNSCC) cannot be overstated. Recently, pathomics, which relies on quantitative analysis of medical imaging, has come to the forefront. CXCL8, an essential inflammatory cytokine, has been shown to correlate with overall survival (OS). This study examined the relationship between CXCL8 mRNA expression and pathomics features and aimed to explore the biological underpinnings of CXCL8. Methods: . Clinical information and transcripts per million mRNA sequencing data were obtained from The Cancer Genome Atlas (TCGA)-HNSCC dataset. We identified correlations between CXCL8 mRNA expression and patient survival rates using a Kaplan-Meier survival curve. A retrospective analysis of 313 samples diagnosed with HNSCC in the TCGA database was conducted. Pathomics features were extracted from hematoxylin and eosin–stained images, and then the minimum redundancy maximum relevance, with recursive feature elimination (mRMR-RFE) method was applied, followed by screening with the logistic regression algorithm. Results: . Kaplan-Meier curves indicated that high expression of CXCL8 was significantly associated with decreased OS. The logistic regression pathomics model incorporated 16 radiomics features identified by the mRMR-RFE method in the training set and demonstrated strong performance in the testing set. Calibration plots showed that the probability of high gene expression predicted by the pathomics model was in good agreement with actual observations, suggesting the model’s high clinical applicability. Conclusion . The pathomics model of CXCL8 mRNA expression serves as an effective tool for predicting prognosis in patients with HNSCC and can aid in clinical decision-making. Elevated levels of CXCL8 expression may lead to reduced DNA damage and are associated with a pro-inflammatory tumor microenvironment, offering a potential therapeutic target.