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.

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 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

Tongue squamous cell carcinoma (TSCC) is a prevalent malignancy that afflicts the head and neck area and presents a high incidence of metastasis and invasion. Accurate diagnosis and effective treatment are essential for enhancing the quality of life and the survival rates of TSCC patients. The current treatment modalities for TSCC frequently suffer from a lack of specificity and efficacy. Nanoparticles with diagnostic and photothermal therapeutic properties may offer a new approach for the targeted therapy of TSCC. However, inadequate accumulation of photosensitizers at the tumor site diminishes the efficacy of photothermal therapy (PTT). This study modified gold nanodots (AuNDs) with the TSCC-targeting peptide HN-1 to improve the selectivity and therapeutic effects of PTT. The Au-HN-1 nanosystem effectively targeted the TSCC cells and was rapidly delivered to the tumor tissues compared to the AuNDs. The enhanced accumulation of photosensitizing agents at tumor sites achieved significant PTT effects in a mouse model of TSCC. Moreover, owing to its stable long-term fluorescence and high X-ray attenuation coefficient, the Au-HN-1 nanosystem can be used for fluorescence and computed tomography imaging of TSCC, rendering it useful for early tumor detection and accurate delineation of surgical margins. In conclusion, Au-HN-1 represents a promising nanomedicine for imaging-based diagnosis and targeted PTT of TSCC.
Tongue Neoplasms/diagnostic imaging* ; Carcinoma, Squamous Cell/diagnostic imaging* ; Animals ; Gold/chemistry* ; Mice ; Photothermal Therapy/methods* ; Tomography, X-Ray Computed ; Photosensitizing Agents ; Metal Nanoparticles ; Humans ; Cell Line, Tumor

ObjectiveThis paper aims to analyze the clinical characteristics and medication rationality of liver injury related to Epimedii Folium preparation （EP） and explore the possible risk factors of liver injury， so as to provide a reference for the safe clinical application of Epimedii Folium （EF）. MethodA retrospective analysis was conducted on liver injury cases related to EP from 2012 to 2016. ResultThe number of reported liver injury cases and the proportion of severe cases related to the use of EP show an increasing trend， indicating the objective existence of liver injury caused by EP. There are more cases of liver injury related to EP in women than in men， with an onset age range of 15-91 years old and a median onset age of 60 years old （median onset ages for men and women are 59 and 60 years old， respectively）. The time span from taking EP alone to the occurrence of liver injury is 1-386 days， with a median of 38 days. The time span from taking both EP and Western medicine to the occurrence of liver injury is 1-794 days， with a median of 34 days. EF-related liver injury preparations are mostly composed of traditional Chinese medicines that promote immunity and tonify the liver and kidney， indicating that immune stress in the body may be the mechanism of liver injury caused by the use of EP alone or in combination. There is no increasing trend of toxicity with time or dose in the liver injury caused by EP. By further exploring its risk factors， it is found that patients have unreasonable medication methods such as excessive dosage， repeated use， and multi-drug combination， which may also be one of the important risk factors for EF-related liver injury. ConclusionEP has a certain risk of liver injury and should be emphasized in clinical diagnosis and treatment. Immune stress may be the mechanism of liver injury caused by EP， and in clinical use， it is necessary to be vigilant about the risk of liver injury caused by unreasonable use and combined use with Western medicine.

Humans ; Cardiovascular Diseases/chemically induced* ; East Asian People ; Risk Factors ; Heart Disease Risk Factors ; Lipids ; Anticholesteremic Agents/adverse effects* ; Hydroxymethylglutaryl-CoA Reductase Inhibitors ; Treatment Outcome

Frailty and trauma are closely related, and together affect the health outcomes of elderly trauma patients. However, insufficient attention has been paid to the frailty of elderly trauma patients in China. This paper reviews the relationship between frailty and trauma, assessment tools and management of frailty in elderly trauma patients, in order to provide a new perspective of nursing care for elderly trauma patients in China and to provide references for carrying out research on frailty in elderly trauma patients.