To evaluate patient satisfaction levels in a gynecological teaching clinic and to explore its associated influencing factors, so as to provide evidence for optimizing the operational model of teaching clinics.

Objective To observe the value of 68Ga-DOTA-NOC PET/CT for diagnosing pheochromocytoma(PCC)and paraganglioma(PGL).Methods Thirty-eight patients with suspected or confirmed PCC/PGL who underwent 68 Ga-DOTA-NOC PET/CT were retrospectively enrolled,among them 20 cases underwent 131I-metaiodobenzylguanidine(MIBG)SPECT/CT during the same period.The value of 68Ga-DOTA-NOC PET/CT for diagnosing PCC/PGL at individual and lesion levels were analyzed and compared to the results of 131I-MIBG SPECT/CT.Results Among 38 cases,there were 20 cases of PCC,14 cases of PGL,1 case of adrenocortical carcinoma and 3 cases of benign adrenal hyperplasia.The sensitivity,specificity,positive predictive value,negative predictive value and accuracy of 68 Ga-DOTA-NOC PET/CT for diagnosing PCC/PGL in all 38 cases was 87.88％(29/33),60.00％(3/5),93.55％(29/31),42.86％(3/7)and 84.21％(32/38),respectively.Totally 188 lesions were detected in 34 cases,with detection rate of 89.95％(188/209).For 20 patients who underwent both 2 kinds examinations,the detection rate of bone,lymph node,liver,lung metastases and the overall lesions of 68Ga-DOTA-NOC PET/CT were all higher than those of 131I-MIBG SPECT/CT(all P＜0.05).No significant difference of diagnostic accuracy of PCC/PGL was found between 68 Ga-DOTA-NOC PET/CT and 131I-MIBG SPECT/CT(P＞0.05).Conclusion The value of 68 Ga-DOTA-NOC PET/CT for diagnosing PCC/PGL was comparable to that of 131I-MIBG SPECT/CT,but the former showed higher detection rate of metastases,hence being helpful to staging and risk stratification of PCC/PGL.

Objective:To investigate the influential factors of lung function injury in occupational exposure workers in carbon industry.Methods:In January 2024, a judgment sampling method was employed, with 230 occupational exposure workers in the carbon industry as the study subjects. They were divided into abnormal group and normal group according to whether there was lung function injury in occupational health examination. The basic information of workers in carbon industry was collected by questionnaire, their lung function was measured, urine and blood samples were collected after work, and 1-hydroxypyrene, 1-hydroxynaphthalene and 2-hydroxynaphthalene concentrations and the percentage of DNA in the comet tail and Olive tail distance in peripheral blood lymphocytes were determined. The differences in indicators of lung function, urine and blood samples between the two groups were compared by Mann-Whitney test and t-test. The influencing factors of lung function injury were analyzed by logistic regression. Results:The forced vital capacity (FVC) %[88% (86%, 92%) ], forced expiratory volume in the first second (FEV 1) %[92% (88%, 95%) ] and FEV 1.0/FVC%[96% (91%, 102%) ] of occupational exposure workers in the carbon industry in the normal lung function group ( n=118) were significantly higher than those in the abnormal lung function group [ n=112, 83% (80%, 87%), 84% (80%, 88%), 86% (79%, 91%) ], the differences were statistically significant ( P<0.05). 1-Hydroxypyrene[9.28 (2.96, 25.94) μg/g], 1-hydroxynaphthalene[2.48 (1.47, 4.37) μg/g], percentage of DNA in the comet tail [11.83% (5.30%, 21.45%) ] and Olive tail distance [2.30 (0.82, 4.77) μm] in the abnormal lung function workers was significantly higher than those in the normal group[2.57 (1.17, 9.34) μg/g, 1.70 (0.94, 2.89) μg/g, 6.75% (2.55%, 12.60%), 1.25 (0.43, 2.34) μm], and the differences were statistically significant ( P<0.05). Logistic regression analysis showed that sex, working age, job type, percentage of comet tail DNA in peripheral blood, Olive tail distance and 1-hydroxypyrene were all factors influencing lung function injury in occupational exposure workers in carbon industry ( P<0.05) . Conclusion:The percentage of DNA in the comet tail, Olive tail distance in peripheral blood lymphocytes and 1-hydroxypyrene may be markers of lung function injury in workers exposed to carbon industry. Working age and job type are occupational factors affecting lung function injury. Occupational protection should be strengthened and a reasonable operating system should be established to ensure the health of occupational workers.

Objective:To construct a VP8-mRNA vaccine using human rotavirus spike protein VP8 domain as the immunogen and analyze its immunogenicity in mice.Methods:The VP8-mRNA sequence was designed, optimized, and synthesized. The VP8 gene of rotavirus G1P[8] type was used to construct the plasmid pUC57-VP8-Kan-SapⅠ, which was then sequenced. The plasmid confirmed by sequencing was subjected to large-scale amplification and extraction, followed by linearization, in vitro transcription, and capping. The purified capped products were encapsulated with lipid nanoparticles using a microfluidic control apparatus. The encapsulated VP8-mRNA vaccine was administered intramuscularly to mice at 10, 15, and 20 μg. Serum samples were collected for antibody detection by ELISA. Cellular immune responses were detected by flow cytometry and ELISPOT. Statistical analysis was performed using one-way or two-way analysis of variance and Tukey-Kramer test. Results:The encapsulated VP8-mRNA vaccine was rounded and spherical, with a particle size of about 100 nm, a polymer dispersion index of 0.088, and an encapsulation rate of 92.3%. Two doses of VP8-mRNA vaccine immunization could induce a good immune response in mice. The level of IgG antibody induced after immunization in the 15 μg group was comparable to that of the 20 μg group, and there was no statistical difference ( P>0.05), but the antibody levels in the two groups were significantly higher than that in the 10 μg group ( P<0.000 1). VP8-mRNA vaccine could induce neutralizing antibodies against rotavirus G1 and G9 types. The highest level of neutralizing antibodies against rotavirus type G1 was observed in the 15 μg group, which was significantly higher than that in the 10 μg group ( P<0.05). All immunization groups exhibited good neutralizing ability against rotavirus G9 type. The results of ELISPOT showed that lymphocytes from mice in each vaccine group were able to secrete IFN-γ when stimulated with VP8 peptide. Flow cytometry showed that the proportions of CD8 + T cell subsets in the vaccine groups were higher than that in the control group. Conclusion:The VP8-mRNA vaccine has good immunogenicity in mice and can induce good humoral and T-cell immune responses.

Objective To observe the value of 68Ga-DOTA-NOC PET/CT for diagnosing pheochromocytoma(PCC)and paraganglioma(PGL).Methods Thirty-eight patients with suspected or confirmed PCC/PGL who underwent 68 Ga-DOTA-NOC PET/CT were retrospectively enrolled,among them 20 cases underwent 131I-metaiodobenzylguanidine(MIBG)SPECT/CT during the same period.The value of 68Ga-DOTA-NOC PET/CT for diagnosing PCC/PGL at individual and lesion levels were analyzed and compared to the results of 131I-MIBG SPECT/CT.Results Among 38 cases,there were 20 cases of PCC,14 cases of PGL,1 case of adrenocortical carcinoma and 3 cases of benign adrenal hyperplasia.The sensitivity,specificity,positive predictive value,negative predictive value and accuracy of 68 Ga-DOTA-NOC PET/CT for diagnosing PCC/PGL in all 38 cases was 87.88％(29/33),60.00％(3/5),93.55％(29/31),42.86％(3/7)and 84.21％(32/38),respectively.Totally 188 lesions were detected in 34 cases,with detection rate of 89.95％(188/209).For 20 patients who underwent both 2 kinds examinations,the detection rate of bone,lymph node,liver,lung metastases and the overall lesions of 68Ga-DOTA-NOC PET/CT were all higher than those of 131I-MIBG SPECT/CT(all P＜0.05).No significant difference of diagnostic accuracy of PCC/PGL was found between 68 Ga-DOTA-NOC PET/CT and 131I-MIBG SPECT/CT(P＞0.05).Conclusion The value of 68 Ga-DOTA-NOC PET/CT for diagnosing PCC/PGL was comparable to that of 131I-MIBG SPECT/CT,but the former showed higher detection rate of metastases,hence being helpful to staging and risk stratification of PCC/PGL.

Identifying drug-drug interactions(DDIs)is essential to prevent adverse effects from polypharmacy.Although deep learning has advanced DDI identification,the gap between powerful models and their lack of clinical application and evaluation has hindered clinical benefits.Here,we developed a Multi-Dimensional Feature Fusion model named MDFF,which integrates one-dimensional simplified molec-ular input line entry system sequence features,two-dimensional molecular graph features,and three-dimensional geometric features to enhance drug representations for predicting DDIs.MDFF was trained and validated on two DDI datasets,evaluated across three distinct scenarios,and compared with advanced DDI prediction models using accuracy,precision,recall,area under the curve,and F1 score metrics.MDFF achieved state-of-the-art performance across all metrics.Ablation experiments showed that integrating multi-dimensional drug features yielded the best results.More importantly,we obtained adverse drug reaction reports uploaded by Xiangya Hospital of Central South University from 2021 to 2023 and used MDFF to identify potential adverse DDIs.Among 12 real-world adverse drug reaction reports,the predictions of 9 reports were supported by relevant evidence.Additionally,MDFF demon-strated the ability to explain adverse DDI mechanisms,providing insights into the mechanisms behind one specific report and highlighting its potential to assist practitioners in improving medical practice.

Objective:To construct a VP8-mRNA vaccine using human rotavirus spike protein VP8 domain as the immunogen and analyze its immunogenicity in mice.Methods:The VP8-mRNA sequence was designed, optimized, and synthesized. The VP8 gene of rotavirus G1P[8] type was used to construct the plasmid pUC57-VP8-Kan-SapⅠ, which was then sequenced. The plasmid confirmed by sequencing was subjected to large-scale amplification and extraction, followed by linearization, in vitro transcription, and capping. The purified capped products were encapsulated with lipid nanoparticles using a microfluidic control apparatus. The encapsulated VP8-mRNA vaccine was administered intramuscularly to mice at 10, 15, and 20 μg. Serum samples were collected for antibody detection by ELISA. Cellular immune responses were detected by flow cytometry and ELISPOT. Statistical analysis was performed using one-way or two-way analysis of variance and Tukey-Kramer test. Results:The encapsulated VP8-mRNA vaccine was rounded and spherical, with a particle size of about 100 nm, a polymer dispersion index of 0.088, and an encapsulation rate of 92.3%. Two doses of VP8-mRNA vaccine immunization could induce a good immune response in mice. The level of IgG antibody induced after immunization in the 15 μg group was comparable to that of the 20 μg group, and there was no statistical difference ( P>0.05), but the antibody levels in the two groups were significantly higher than that in the 10 μg group ( P<0.000 1). VP8-mRNA vaccine could induce neutralizing antibodies against rotavirus G1 and G9 types. The highest level of neutralizing antibodies against rotavirus type G1 was observed in the 15 μg group, which was significantly higher than that in the 10 μg group ( P<0.05). All immunization groups exhibited good neutralizing ability against rotavirus G9 type. The results of ELISPOT showed that lymphocytes from mice in each vaccine group were able to secrete IFN-γ when stimulated with VP8 peptide. Flow cytometry showed that the proportions of CD8 + T cell subsets in the vaccine groups were higher than that in the control group. Conclusion:The VP8-mRNA vaccine has good immunogenicity in mice and can induce good humoral and T-cell immune responses.

Objective To develop a new model for predicting compound toxicity and exploring related toxicity mechanisms using transcriptomic data and gene ontology knowledge.Methods Using the TOXRIC database,two toxicity-related datasets were constructed and a Tox VNN model was established that incorporated gene ontology knowledge to evaluate compound toxicity and identify key biological processes.Results Tox VNN demonstrated good predictability.The identification of important biological processes related to CYP enzyme activity and p53 pathway stress response provided insights into the toxicity mechanisms.Conclusion The Tox VNN,which integrates data and knowledge,can not only ensure high predictability,but also effectively identify important biological processes related to toxicity.This model offers a new approach to predicting and understanding compound toxicity in drug safety evaluation.

Identifying drug-drug interactions (DDIs) is essential to prevent adverse effects from polypharmacy. Although deep learning has advanced DDI identification, the gap between powerful models and their lack of clinical application and evaluation has hindered clinical benefits. Here, we developed a Multi-Dimensional Feature Fusion model named MDFF, which integrates one-dimensional simplified molecular input line entry system sequence features, two-dimensional molecular graph features, and three-dimensional geometric features to enhance drug representations for predicting DDIs. MDFF was trained and validated on two DDI datasets, evaluated across three distinct scenarios, and compared with advanced DDI prediction models using accuracy, precision, recall, area under the curve, and F1 score metrics. MDFF achieved state-of-the-art performance across all metrics. Ablation experiments showed that integrating multi-dimensional drug features yielded the best results. More importantly, we obtained adverse drug reaction reports uploaded by Xiangya Hospital of Central South University from 2021 to 2023 and used MDFF to identify potential adverse DDIs. Among 12 real-world adverse drug reaction reports, the predictions of 9 reports were supported by relevant evidence. Additionally, MDFF demonstrated the ability to explain adverse DDI mechanisms, providing insights into the mechanisms behind one specific report and highlighting its potential to assist practitioners in improving medical practice.