BACKGROUND:Observational studies have shown that intervertebral disc degeneration affects sedentary and physical activity levels;however,the causal relationship between sedentary and physical activity levels in the Oswestry disability index score and intervertebral disc degeneration is unclear. OBJECTIVE:To explore the causal relationship between sedentary and physical activity levels in the Oswestry disability index score and intervertebral disc degeneration using the Mendelian randomization method. METHODS:Five features associated with behavioral correlations in the Oswestry disability index score,including time spent watching TV,time spent on the computer,and light/moderate/vigorous physical activity,were selected from large-scale population-based genome-wide association studies,and instrumental variables were extracted for each of these behaviorally related features.Mendelian randomization analyses were performed in conjunction with the extraction of intervertebral disc degeneration as an outcome from the Finn Gen latest version 9 database.The results were analyzed using the inverse variance weighted,MR-Egger regression,simple mode,weighted mode,weighted median estimator,and regression model odds ratios(OR)and 95%confidence interval(CI)to assess the causal relationship between sedentary and physical activity levels in the Oswestry disability index scoring and intervertebral disc degeneration.Cochran's Q was used to test for heterogeneity,MR-Egger intercept to test for multiplicity,and leave-one-out to test the sensitivity of single nucleotide polymorphisms to the causal relationship between exposure factors and disc degeneration. RESULTS AND CONCLUSION:The results of the Mendelian randomization analysis using inverse variance weighted method showed a positive causal association between time spent watching TV/on the computer and the risk of intervertebral disc degeneration(OR=1.775,95%CI:1.418-2.221,P<0.001)/(OR=1.384,95%CI:1.041-1.839,P<0.001),an inverse causal association between light physical activity and the risk of intervertebral disc degeneration(OR=1.000,95%CI:0.999-1.000,P=0.020).MR-Egger intercept analysis indicated there was potential horizontal polytropy between light physical activity and intervertebral disc degeneration(P=0.005),while there was no horizontal pleiotropy between time spent watching TV,time spent on the computer and intervertebral disc degeneration(P=0.521,P=0.851).Cochran's Q analysis showed that heterogeneity was observed between time spent watching TV,time spent on the computer and intervertebral disc degeneration(P=3.33×10-11,P=0.001),and no significant heterogeneity was observed between light physical activity and intervertebral disc degeneration(P=0.186).Overall,there is a bidirectional causal relationship between sedentary and physical activity levels in the Oswestry disability index score and intervertebral disc degeneration,i.e.,not only does intervertebral disc degeneration affect sedentary and physical activity levels in the Oswestry disability index score,but sedentary and physical activity levels in the Oswestry disability index score also affect intervertebral disc degeneration.These findings add to the genetic evidence for a positive effect of light physical activity on intervertebral disc degeneration,indicate that moderate/vigorous physical activity shows no significant causal relationship with intervertebral disc degeneration,and expand the evidence base for sedentary behaviors such as prolonged time spent watching TV/on the computer as a risk factor for intervertebral disc degeneration.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

OBJECTIVE To investigate the effects of Ephedra-Cinnamomum couplet medicinals on respiratory function and airway inflammation in rats with asthma of cold-fluid retention in lung syndrome and its mechanism. METHODS Sixty Wistar rats were randomly divided into blank group， model group， dexamethasone group [1 mg/（kg·d）]， and Ephedra-Cinnamomum low-， medium-， high-dose groups [0.234， 0.936， 1.872 g/（kg·d）]， with 10 rats in each group. The model and treatment groups were sensitized by intraperitoneal injection of antigen solution （ovalbumin 100 mg + aluminum hydroxide 100 mg） and challenged with 1% ovalbumin nebulization， along with exposure to a cold environment and ingestion of cold water， to establish the asthma model with cold-fluid retention in lung syndrome. From day 2， rats received corresponding drugs or normal saline intragastrically， once a day， for 21 consecutive days. The general behavioral changes in each group of rats were observed during the experimental process. The lung function parameters [peak expiratory flow （PEF）， airway resistance （Raw）， functional residual capacity （FRC）， expiratory flow at 50% of forced vital capacity （EF50%）] Δ 基金项目 国家自然科学基金青年科学基金项目（No.82004233）； were measured before modeling and after the last medication as well as serum contents of interleukin-6 （IL-6）， IL-13， tumor necrosis factor- α （TNF- α） and interferon-gamma （IFN- γ） after the last medication were determined； the histopathological morphological changes in the lung tissues of rats were also observed； mRNA expressions of IL-6， IL-3， TNF-α， IFN-γ， thymic stromal lymphopoietin （TSLP）， and Toll-like receptor 4 （TLR4）， as well as protein expressions of TSLP and TLR4 were determined in lung tissue. RESULTS Compared with model group， the lung tissue damage of rats was relieved significantly； Raw， FRC， the contents and mRNA expression levels of IL-6， IL-13 and TNF-α， as well as the mRNA and protein expressions of TSLP and TLR4 were significantly decreased （P＜0.05）， while the contents and mRNA expressions of PEF， EF50 % and IFN-γ were significantly increased in the dexamethasone group and Ephedra-Cinnamomum medium- and high-dose groups （P＜0.05）. Moreover， only a few rats in the two groups exhibited typical symptoms of asthma. CONCLUSIONS Ephedra-Cinnamomum couplet medicinals improve respiratory function and ameliorate airway inflammation in asthma rats with cold-fluid retention in lung syndrome， the mechanism of which may be associated with inhibiting TSLP/TLR4 signaling pathway and modulating Th1/Th2 imbalance.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

OBJECTIVE To investigate the effects and potential mechanisms of Xiaoqinglong decoction on airway inflammation in asthma with syndrome of cold retention accumulation in lung based on the metastasis-associated lung adenocarcinoma transcript 1 （MALAT1）. METHODS Forty Wistar rats were randomly divided into blank group， model group， dexamethasone group （positive control， 1 mg/kg）， and Xiaoqinglong decoction group （2.72 g/kg）， with 10 rats in each group. A rat model of asthma with syndrome of cold retention accumulation in lung was established， and the corresponding drugs were administered once daily starting from the second day of modeling for 21 consecutive days. Lung histopathological changes and lung function were evaluated. The levels of superoxide dismutase （SOD）， malondialdehyde （MDA）， interferron-γ （IFN-γ）， tumor necrosis factor α （TNF-α）， and interleukin-13 （IL-13） in serum were measured， and the mRNA expression levels of MALAT1， TNF- α， IL-13， IFN- γ， and transient receptor potential melastatin 2 （TRPM2） in lung tissue were determined. Twenty C57BL/6J wild-type mice and twenty C57BL/6J MALAT1（－/－）mice were randomly divided into wild-type model group， wild-type Xiaoqinglong decoction group， MALAT1 model group， and MALAT1（－/－） Xiaoqinglong decoction group， with 10 mice in each group. The same asthma model was E-mail：yan_peizheng@163.com established， and Xiaoqinglong decoction was administered once daily for 21 days starting from the second day of modeling. The serum levels of SOD， MDA， IFN-γ， TNF-α and IL-13 were measured， along with the mRNA and protein expression levels of TRPM2 in lung tissue. RESULTS The results of the rat experiment showed that， compared with model group， the airway resistance， functional residual capacity， the serum levels of IL- 13， TNF-α and MDA as well as inflammatory infiltration and collagen fiber deposition in lung tissue， and the expressions of IL- 13， TNF-α and TRPM2 in lung tissue were all significantly decreased in the treatment group （P＜0.05 or P＜0.01）. The peak expiratory flow， forced expiratory flow at 50% of forced vital capacity， the serum levels of SOD and IFN-γ， and the expression levels of IFN-γ and MALAT1 in lung tissue were significantly increased （P＜0.05 or P＜0.01）. The results of the mice experiment demonstrated that， compared with the wild-type model group， serum levels of IL-13， TNF-α and MDA in wild-type xiaoqinglong decoction group were significantly reduced （P＜0.05 or P＜0.01）， while serum IFN-γ levels and SOD activity were significantly increased （P＜0.01）. Compared with the wild-type Xiaoqinglong decoction group， the MALAT1（－/－） Xiaoqinglong decoction group showed significantly decreased serum IFN-γ levels and SOD activity （P＜0.01）， along with significantly increased levels of IL-13， TNF-α and MDA （P＜0.05 or P＜0.01）， as well as significantly elevated TRPM2 mRNA and protein expression in lung tissue （P＜0.05）. CONCLUSIONS Xiaoqinglong decoction may alleviate airway inflammation by regulating the expression of MALAT1， modulating oxidative stress， inhibiting TRPM2 activation， and reducing the release of pro-inflammatory cytokines.

Objective To investigate whether miR-15b-5p can alleviate airway inflammation in asthma by negatively regulating ubiquitin specific peptidase 9X (USP9X) to down-regulate the expression of phosphatidylinositol 4, 5-diphosphate 3-kinase catalytic subunit α/AKT serine/threonine kinase 1 (PIK3CA/AKT1) pathway. Methods USP9X was predicted to be a direct target of miR-15b-5p by using an online database (miRWalk), and the luciferase reporter gene assay was performed to verify it. Co-immunoprecipitation (CO-IP) was used to verify the direct binding between USP9X and PIK3CA and the role of USP9X and its small molecule inhibitor WP1130 in the deubiquitination of PIK3CA. C57 mice were randomly divided into Control group, OVA group, OVA combined with NC group and miR-15b-5p agomir group, with 10 mice in each group. BEAS-2B cells were induced with interleukin 13 (IL-13) and treated with miR-15b-5p mimic. HE, Masson, PAS, immunohistochemistry, immunofluorescence staining, flow cytometry, Western blot and quantitative real-time PCR(qRT-PCR) were performed. Results It was found that the administration of miR-15b-5p agomir and mimic could reduce peribronchial inflammatory cells and improve airway inflammation, and miR-15b-5p could target negative regulation of USP9X. USP9X could directly bind to PIK3CA and regulate PIK3CA level in a proteasome-dependent manner, and USP9X could deubiquitinate K29-linked PIK3CA protein. Down-regulation of USP9X could increase PIK3CA ubiquitination level. WP1130, a small molecule inhibitor of USP9X, has the same effect as knockdown of USP9X, both of which could increase the ubiquitination level of PIK3CA and reduce the protein level of PIK3CA. Conclusion The miR-15b-5p/USP9X/PIK3CA/AKT1 signaling pathway may provide potential therapeutic targets for asthma.
Animals ; MicroRNAs/metabolism* ; Asthma/pathology* ; Class I Phosphatidylinositol 3-Kinases/genetics* ; Ubiquitin Thiolesterase/metabolism* ; Proto-Oncogene Proteins c-akt/genetics* ; Mice ; Signal Transduction ; Mice, Inbred C57BL ; Humans ; Inflammation/genetics* ; Cell Line ; Female ; Male

OBJECTIVE: To accurately measure human energy metabolism with high temporal resolution, a respiratory gas analysis system was designed using a breath-by-breath approach. METHODS: Firstly, indirect calorimetry was employed in respiratory gas analysis to measure the respiratory flow and concentration signals in real-time. Secondly, oxygen consumption QO2 and carbon dioxide production QCO2 were calculated through respiratory characteristic alignment and respiratory signal segmentation. Finally, metabolic indexes were calculated according to the Weir formula. Furthermore, a controlled trial was formulated for validation comparisons with the MGC ULTIMA SYSTEM PFX CARDIO2. RESULTS: The results indicate that the data points of metabolic indexes measured by this system all fall within the confidence interval when compared with those of the MGC. CONCLUSION The system has high consistency with the MGC measurement results. Thus, the system can accurately measure metabolism in real-time and provide data support for clinical nutrition assessment and therapy.
Humans ; Energy Metabolism ; Breath Tests/instrumentation* ; Calorimetry, Indirect/instrumentation* ; Equipment Design