ObjectiveTo explore the effect of transcutaneous electrical acupoint stimulation （TEAS） on stress response in patients undergoing unilateral biportal endoscopy （UBE） and to identify optimal TEAS parameters. MethodsA total of 96 patients undergoing UBE were randomly grouped into total intravenous anesthesia （TIVA） group， acupuncture-assisted anesthesia with continuous waves （AACW） group， and acupuncture-assisted anesthesia with sparse-dense waves （AASDW） group， with 32 patients per group. All groups were given a standardized TIVA protocol. In the AACW group （100 Hz continuous wave stimulation） and the AASDW group （2/100 Hz sparse-dense wave stimulation）， TEAS intervention was applied to both bilateral Zusanli （ST36） and Sanyinjiao （SP6） 30 minutes before TIVA induction and continued until the end of the surgery. In the TIVA group， electrodes were only connected without electrical stimulation. The stress response indicators including cortisol （Cor） and adrenocorticotropic hormone （ACTH）， heart rate （HR）， mean arterial pressure （MAP）， and bispectral index （BIS） at before anesthesia induction （T0）， after tracheal intubation （T1）， during laminectomy （T2）， and 1 hour after surgery （T3） were compared across groups. The operation duration， anesthesia duration， extubation and recovery duration were recorded， as well as pain intensity including visual analogue scale （VAS）， and sedation level （by Ramsay sedation score） at 2， 6， 12 hours after surgery， and postoperative complications. ResultsThe AACW group and AASDW group had lower ACTH and COR levels at T1， T2 and T3， as well as lower HR and MAP levels at T1 and T2 than TIVA group， with AASDW group being lower than AACW group （P＜0.05）. At T3， the AASDW group had higher BIS than TIVA group and AACW group （P＜0.05）. No significant difference in operation duration was observed （P＞0.05）. The AACW group and AASDW group had shorter anesthesia， extubation and recovery duration than TIVA group， with AASDW group being the shortest （P＜0.05）. The VAS scores at 2 h， 6 h， and 12 h after surgery in the AACW and AASDW groups were lower than those in the TIVA group， with the AASDW group showing significantly lower scores than the AACW group （P＜0.05）. The Ramsay sedation scores in the AASDW group were lower than those in the AACW group at 2 h and 6 h after surgery （P＜0.05）. The total incidence of complications in the AASDW group was 6.25% （2/32）， significantly lower than 28.13% （9/32） in the TIVA group （P＜0.05）. ConclusionTEAS can effectively suppresses stress response in patients undergoing UBE， with the 2/100 Hz sparse-dense wave parameter being most effective， which can stabilize hemodynamics， accelerate recovery， improve postoperative sedation and analgesia quality， and reduces complications.

Objective:To explore the clinical, imaging, and pathological features of glottic squamous cell carcinoma of the larynx and their relationship with prognosis. Methods:A retrospective analysis was conducted on the clinical, imaging, and pathological data of 130 patients with glottic squamous cell carcinoma of the larynx who were treated at the First People's Hospital of Yinchuan and the General Hospital of Ningxia Medical University from January 2018 to March 2023. Imaging examinations （CT and MRI） were used to evaluate the lesion boundary clarity, density, enhancement nature, and enhancement degree. Postoperative pathological examination was used to determine the pathological nature, immunohistochemistry, etc. Statistical methods such as χ² test, Spearman correlation analysis, multivariate logistic regression analysis, and Kaplan-Meier method were used to analyze the data. Results:Among the 130 patients, 127 were male and 3 were female, with an average age of （61.92±9.595） years. There was a correlation between clinical, imaging, and pathological features. Multivariate analysis showed that heterogeneous MRI density （OR=12.414;P=0.019） and squamous cell carcinoma as a subtype were correlated. The initial symptom of non-hoarseness （HR=6.045;P=0.010） and unclear MRI boundary （HR=12.559; P=0.029） were independent risk factors for poor prognosis in patients with glottic squamous cell carcinoma of the larynx. Conclusion:There is a correlation between the clinical, imaging, and pathological features of patients with glottic squamous cell carcinoma of the larynx, and they can affect prognosis. The initial symptom of non-hoarseness and unclear MRI boundary of the tumor are independent risk factors for poor prognosis.
Humans ; Laryngeal Neoplasms/diagnosis* ; Prognosis ; Male ; Female ; Retrospective Studies ; Middle Aged ; Carcinoma, Squamous Cell/diagnosis* ; Magnetic Resonance Imaging ; Glottis/pathology* ; Tomography, X-Ray Computed ; Aged

Objective:To investigate the clinical characteristics and major allergens of patients with pollen-food allergy syndrome（PFAS） and their correlation with the severity of symptoms, and to provide a basis for identifying high-risk patients, optimizing the allergen testing process and developing individualized dietary management strategies. Methods:The clinical data of 166 patients with PFAS admitted to our hospital from January 2021 to July 2023 were retrospectively analyzed. The clinical symptoms, pollen types and food allergy of the patients were analyzed by questionnaire survey and serum specific IgE detection. phi coefficient, Apriori algorithm modeling and multivariate logistic regression analysis were used to evaluate the association between allergen and symptom severity. Results:Artemisia pollen was the most common allergen in this area, with a positive rate of 96.39%. Peach and mango were the most common food allergens, which caused allergic reactions in 24.10% and 22.89% of patients, respectively. Oral mucosal symptoms were the main symptoms. Correlation analysis showed that there was a correlation between pollen allergens and allergenic food. Association rule analysis showed that when the patient was allergic to the combination of peanuts and trees, the probability of high severity of symptoms was 82.35%. Multivariate analysis showed that ragweed allergy was significantly positively correlated with the severity of PFAS symptoms. Conclusion:Artemisia pollen and related food allergens play an important role in the pathogenesis of PFAS. Association rule mining and network map analysis revealed direct associations between peanut and tree combination allergy and symptom severity, as well as potential links between other inhaled allergens and specific food allergies. Ragweed and peach allergy are independent risk factors for the aggravation of PFAS symptoms, which can be used as early warning indicators. These results help to improve the screening of high-risk patients and the construction of regional allergen databases.
Humans ; Food Hypersensitivity/immunology* ; Allergens/immunology* ; Retrospective Studies ; Pollen/immunology* ; Cross Reactions ; Immunoglobulin E/blood* ; Rhinitis, Allergic, Seasonal/immunology* ; Artemisia/immunology* ; Male ; Female ; Adult ; Prunus persica/immunology* ; Arachis/immunology* ; Middle Aged ; Surveys and Questionnaires ; Oral Allergy Syndrome

Personalized drug response prediction from molecular data is an important challenge in precision medicine for treating cancer.Computational methods have been widely explored and have become increasingly accurate in recent years.However,the clinical application of prediction methods is still in its infancy due to large discrepancies between preclinial models and patients.We present a novel disentangled synthesis transfer network(DiSyn)for drug response prediction specifically designed for transfer learning from preclinical models to clinical patients.DiSyn uses a domain separation network(DSN)to disentangle drug response related features,employs data synthesis technology to increase the sample size and iteratively trains for better feature disentanglement.DiSyn is pretrained on large-scale unlabeled cancer samples and validated by three datasets,The Cancer Genome Atlas(TCGA),Investigation of Serial Studies to Predict Your Therapeutic Response With Imaging And moLecular Analysis 2(I-SPY2)and Novartis Institutes for Biomedical Research Patient-Derived Xenograft Encyclopedia(NIBR PDXE),achieving competitive performance with the state-of-the-art methods on cancer patients and mice.Furthermore,the application of DiSyn to thousands of breast cancer patients show the heterogeneity in drug responses and demonstrate its potential value in biomarker discovery and drug combination prediction.

Personalized drug response prediction from molecular data is an important challenge in precision medicine for treating cancer. Computational methods have been widely explored and have become increasingly accurate in recent years. However, the clinical application of prediction methods is still in its infancy due to large discrepancies between preclinial models and patients. We present a novel disentangled synthesis transfer network (DiSyn) for drug response prediction specifically designed for transfer learning from preclinical models to clinical patients. DiSyn uses a domain separation network (DSN) to disentangle drug response related features, employs data synthesis technology to increase the sample size and iteratively trains for better feature disentanglement. DiSyn is pretrained on large-scale unlabeled cancer samples and validated by three datasets, The Cancer Genome Atlas (TCGA), Investigation of Serial Studies to Predict Your Therapeutic Response With Imaging And moLecular Analysis 2 (I-SPY2) and Novartis Institutes for Biomedical Research Patient-Derived Xenograft Encyclopedia (NIBR PDXE), achieving competitive performance with the state-of-the-art methods on cancer patients and mice. Furthermore, the application of DiSyn to thousands of breast cancer patients show the heterogeneity in drug responses and demonstrate its potential value in biomarker discovery and drug combination prediction.

Objective:Middle ear cholesteatoma is a common otolaryngological disease, and traditional diagnostic methods have certain limitations. This study aims to construct a computer-aided diagnosis model for middle ear cholesteatoma based on integrated convolutional neural networks (CNNs) to improve diagnostic accuracy and efficiency.Methods:Firstly, Data were collected from patients who visited the Department of Otorhinolaryngology Head and Neck Surgery at the First People′s Hospital of Yinchuan between January 2020 and December 2021. 8 000 temporal bone CT images were collected, including 5 000 images diagnosed pathologically as middle ear cholesteatoma and 3 000 normal images. A five-fold cross-validation method was used to divide the dataset into training and testing sets. Next, a transfer learning approach was used to initialize model parameters, and the AlexNet, GoogleNet, and ResNet networks were pre-trained to extract deep features from the images. Then, the Softmax classification algorithm was applied to classify the features, resulting in three independent classifiers. These classifiers were combined using an ensemble learning method with a weighted voting approach to obtain the final diagnostic results. Finally, the model was evaluated by comparing the ensemble classifier with individual classifiers to assess its accuracy, precision, sensitivity, specificity, and diagnostic time, and a comparison with low-mid-and high-experience physician groups was conducted to comprehensively evaluate the model′s diagnostic performance.Results:The experimental results showed that the model achieved an accuracy of 88.8%(178/200), precision of 92.9%,(112/120) sensitivity of 89.8%(108/120), and specificity of 88.1%(70/80). The average diagnostic time for individual patient temporal bone CT images was reduced to 2-3 seconds. Compared to the diagnostic results from low-mid-and high-experience physician groups, the model demonstrated significant advantages and effectively assisted clinicians in making rapid and accurate middle ear cholesteatoma diagnoses.Conclusion:The proposed middle ear cholesteatoma diagnostic model based on integrated convolutional neural networks exhibits high recognition accuracy and rapid diagnostic speed, significantly improving clinical diagnostic efficiency, especially in early screening and auxiliary diagnosis, making it of considerable value in clinical practice.

Objective:To enhance the understanding of clinical doctors on the concurrence of Sj?gren′s syndrome (SS) and myasthenia gravis (MG), provide reference forclinical diagnosis and treatment.Methods:The medical record of SS、MG patient Taian Central hospital in october 2021 was reviewed and a retrospective analysis was conducted. Based on the key words, the main databases domestic and abroad from Jan 1973 to April 2024. The cases reported in the literature were searched out and merged with our case and analyzed by SPSS 27.0. The measurement data of normal distribution were expressed by mean standard deviation ± s, and the measurement data of abnormal distribution were expressed by M( Q1, Q3). Counting data were expressed as examples and percentages (%) . Results:Twenty-one patients with SS complicated with MG were reviewed. Among them, 19(90.5%) patients were female. The average age was (47.6 ± 3.1) years, and the median time from onset to diagnosis was 24 (11, 78) months. There were 11 patients (52.4%) with myasthenia gravis as the initial presentation. The main clinical manifestations of patients with myasthenia muscle fatigue (80.9%, 17/21), gravis include fatigue ptosis (71.4%, 15/21), diplopia, blurred vision (57.1%, 12/21), dysphagia (33.3%, 7/21), joint pain (33.3%, 7/21), odysarthria, and unclear speech (23.8%, 5/21), hair loss (14.3%, 3/21), and swelling of the excocrine glands(9.5%, 2/21). Eighteen patients (85.7%, 18/21) showed positive anti acetylcholine receptor antibodies. Sixteen patients (76.2%) were positive for ANA, and 14 patients (66.8%) were positive for anti SSA or (and) anti SSB antibodies. Four patients (19.0%) also had other autoimmune diseases (Hashimoto′s thyroiditis, rheumatoid arthritis, optic neuritis). In terms of treatment, cholinesterase inhibitors were the most common treatment measure, applied to 18 patients (85.7%), followed by glucocorticoid therapy, and applied to 14 patients (66.8%). In addition, 7 patients (33.3%) received immunosuppressive agents therapy, 5 patients (23.8%) underwent thymectomy, 2 patients (9.5%) received intravenous human immunoglobulin injection, and 1 patient (4.8%) underwent plasma exchange. All patients showed improvement after treatment.Conclusion:SS and MG are both autoimmune diseases, and their coexistence is rare. Clinicans should be aware of this rare association. Early diagnosis is crucial for the treatment and prognosis of patients,and requiresa comprehensive assessment of clinical symptoms, laboratory tests, and auto-antibody test results.

OBJECTIVE To investigate the impact of Netupitant and palonosetron hydrochloride capsules （NEPA） on the pharmacokinetics of Paclitaxel for injection （albumin bound） （i. e. albumin-bound paclitaxel） under different intestinal microenvironment conditions. METHODS Male SD rats were divided into a normal group and a model group （n＝16）. Rats in the model group were intragastrically administered vancomycin solution to establish an intestinal disorder model. The next day after modeling， intestinal microbiota diversity was analyzed， and the mRNA expressions of cytochrome P450 3A1 （CYP3A1） and CYP2C11 in small intestine and liver tissues as well as those protein expressions in liver tissue were measured. Male SD rats were grouped as described above （n＝16）. The normal group was subdivided into the TP chemotherapy group （TP-1 group） and the TP chemotherapy+NEPA group （TP+NEPA-1 group）； the model group was subdivided into the TP chemotherapy group （TP-2 group） and the TP chemotherapy+NEPA group （TP+NEPA-2 group） （n＝8）. Rats in the TP+NEPA-1 and TP+NEPA-2 groups received a single intragastric dose of NEPA suspension （25.8 mg/kg， calculated by netupitant）. One hour later， all four groups received a single tail vein injection of albumin-bound paclitaxel and cisplatin. Blood samples were collected at different time points after the last administration. Using azithromycin as the internal standard， plasma paclitaxel concentrations were determined by liquid chromatography-tandem mass spectrometry. The main pharmacokinetic parameters were calculated using DAS 2.0 software and compared between groups. RESULTS Compared with the normal group， the model group showed significantly decreased Chao1 and Shannon indexes （P＜0.05）， significant alterations in microbiota composition and relative abundance， and significantly downregulated expressions of CYP3A1 mRNA in liver tissue and CYP2C11 mRNA in both small intestine and liver tissues （P＜0.05）. Compared with the TP-1 group， the AUC0－t， AUC0－∞， MRT0－t of paclitaxel in the TP-2 group， the cmax， AUC0－t， AUC0－∞ of paclitaxel in the TP+NEPA-1 group and TP+NEPA-2 group were significantly increased or prolonged； CL of paclitaxel in the TP-2 group， Vd and CL of paclitaxel in the TP+NEPA-1 group and the TP+NEPA-2 group were significantly decreased or shortened （P＜0.05）. Compared with the TP-2 group， cmax of paclitaxel in the TP+NEPA-2 group was significantly increased， and Vd and MRT0－t were significantly decreased or shortened （P＜0.05）. CONCLUSIONS Intestinal microbiota disorder affects the mRNA expressions of CYP3A1 and CYP2C11， leading to decreased clearance and increased systemic exposure of paclitaxel. Concomitant administration of NEPA under normal intestinal microbiota condition increases paclitaxel exposure. However， under conditions of intestinal microbiota disorder， concomitant administration of NEPA has a limited impact on paclitaxel systemic exposure.

Colorectal cancer(CRC)is one of the most common malignant life-threatening tumors,with serious impacts on patient quality of life.Src homology 2 domain-containing protein tyrosine phosphatase(SHP2)has recently become a hot topic in the field of cancer research,and has demonstrated a close relationship with CRC.SHP2,encoded by the PTPN11 gene,is a non-receptor tyrosine kinase commonly present in various tissues and cells of the human body.Existing research shows that SHP2 plays a crucial role in regulating CRC and colitis-associated colon cancer(CAC),and the emergence of SHP2 allosteric inhibitors has identified SHP2 as a potential new therapeutic target for patients with CRC.Here we review the structure of SHP2 and its roles in CRC and CAC.

Colorectal cancer(CRC)is one of the most common malignant life-threatening tumors,with serious impacts on patient quality of life.Src homology 2 domain-containing protein tyrosine phosphatase(SHP2)has recently become a hot topic in the field of cancer research,and has demonstrated a close relationship with CRC.SHP2,encoded by the PTPN11 gene,is a non-receptor tyrosine kinase commonly present in various tissues and cells of the human body.Existing research shows that SHP2 plays a crucial role in regulating CRC and colitis-associated colon cancer(CAC),and the emergence of SHP2 allosteric inhibitors has identified SHP2 as a potential new therapeutic target for patients with CRC.Here we review the structure of SHP2 and its roles in CRC and CAC.