ObjectiveAutoimmune thyroiditis （AIT） is a complex and immune-mediated disorder， with no established treatment protocol. Both Western and traditional Chinese medicine （TCM） focus on the pathogenesis and treatment of AIT. This study evaluated the clinical consistency of existing AIT animal models based on the diagnostic criteria of both Western and TCM， using a novel evaluation method. Additionally， it proposed recommendations and future prospects for improving these models. MethodsA comprehensive literature review was conducted on existing AIT animal models， using databases and the diagnostic criteria of both Western and TCM. Core and accompanying symptoms of these models were scored based on the diagnostic criteria of both Western and TCM， and clinical consistency was assessed. ResultsMice are the primary experimental animals used in AIT modeling. Modeling methods include vaccine immunization， iodine induction， heterologous thyroid antigen immunization， and a combination of high iodine water and antigen immunization. The average consistency of clinical syndromes based on TCM and Western medicine is 40%， 60%， 54%， and 63%， with the highest consistency observed in the combined high iodine water and antigen immunization model. Pathological models based on TCM are less common， with the liver-stagnation-spleen-deficiency rat model showing high clinical consistency. While most models are designed according to Western medical theory， meeting the surface and structural effectiveness criteria of Western medicine. However， there is a lack of fine-tuning and clear differentiation of TCM syndromes. ConclusionCurrent AIT syndrome-disease combination animal models primarily reflect the pathological features of Western medicine， with limited integration of TCM syndromes. Future research should aim to combine the syndrome characteristics of TCM with the pathological features of Western medicine， creating multi-factor and dynamic syndrome-disease models. Such models would better facilitate an experimental platform that conforms to the theories of TCM， providing more comprehensive support and guidance for the pathogenesis and treatment strategies of AIT.

Objective:To analyze the clinical characteristics of patients with autoimmune gastritis (AIG) and compare the associated factors between AIG and type B atrophic gastritis.Methods:A total of 59 patients were diagnosed as showing AIG at the First Affiliated Hospital of China Medical University between January 2021 and August 2024. These patients were age-and sex-matched with 59 patients diagnosed with type B atrophic gastritis at the same center. The basic information and relevant clinical indicators of the two groups of patients were recorded. Univariate and multivariate logistic analyses were used to determine the differential factors between AIG and type B atrophic gastritis.Results:AIG mainly occurred in patients aged 50-70 years and showed a sex ratio of approximately 1∶3. Anti-intrinsic factor antibody (IFA)-positive results were observed in 28.8% of patients showing AIG. The pepsinogen Ⅰand pepsinogen Ⅰ/Ⅱ ratio in the IFA-positive group was significantly lower than that in the IFA-negative group [4.8 (2.8,6.3) vs.13.3 (5.8, 25.2) μg/L, t=-5.24, P<0.05; 1.0±0.6 vs. 2.2±1.6, t=-3.72, P<0.05]. Among the patients with AIG, 35.2% had anemia, including 1.8% with severe anemia. The relevant indicators showed no statistically significant differences between patients with and without anemia. After univariate and multivariate logistic analyses, we compared gastric function and Helicobacter pylori infection in patients with AIG and type B atrophic gastritis, and the gastrin 17 level was identified an independent differential factor between the two groups ( OR=0.913, 95% CI 0.851-0.978, P=0.010). Conclusion:The gastrin 17 level can help distinguish AIG and type B atrophic gastritis, and is valuable for early identification of AIG.

Objective:To explore the changes of brain excitation/inhibition balance and gray matter volume (GMV) and their correlations with clinical features in benign childhood epilepsy with centrotemporal spikes (BECTS).Methods:A cross-sectional study was performed; 83 BECTS children enrolled from Department of Diagnostic Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University from January 2015 to January 2024 were selected as BECTS group. During the same period, 101 age- and gender-matched healthy children were recruited as healthy control group through advertisements in local primary schools. Data of conventional MRI and resting-state functional MRI (rs-fMRI) of the two groups were collected. Whole brain GMV was analyzed by voxel-based morphometry (VBM), and Hurst index was calculated based on time series data of blood oxygen level dependent (BOLD) signal of rs-fMRI. Correlations of GMV and Hurst index with disease duration and onset age in children with BECTS were explored by Pearson correlation analysis.Results:Compared with the healthy control group, the BECTS group had significantly increased GMV and decreased Hurst index in the bilateral Rolandic region ( P<0.05). Pearson correlation analysis showed that in the BECTS group, GMV in bilateral Rolandic region was negatively correlated with onset age ( r=-0.267, P=0.015) and positively correlated with disease course ( r=0.267, P=0.015); Hurst index in bilateral Rolandic region was positively correlated with onset age ( r=0.323, P=0.003) and negatively correlated with disease course ( r=-0.240, P=0.029); Hurst index was negatively correlated with GMV in bilateral Rolandic region ( r=-0.328, P=0.003). Conclusion:BECTS children have excitation/inhibition imbalance in epilepsy-related regions and cortical structural delay, and both of them are related to onset age and disease course.

Objective:To analyze the clinical characteristics of patients with autoimmune gastritis (AIG) and compare the associated factors between AIG and type B atrophic gastritis.Methods:A total of 59 patients were diagnosed as showing AIG at the First Affiliated Hospital of China Medical University between January 2021 and August 2024. These patients were age-and sex-matched with 59 patients diagnosed with type B atrophic gastritis at the same center. The basic information and relevant clinical indicators of the two groups of patients were recorded. Univariate and multivariate logistic analyses were used to determine the differential factors between AIG and type B atrophic gastritis.Results:AIG mainly occurred in patients aged 50-70 years and showed a sex ratio of approximately 1∶3. Anti-intrinsic factor antibody (IFA)-positive results were observed in 28.8% of patients showing AIG. The pepsinogen Ⅰand pepsinogen Ⅰ/Ⅱ ratio in the IFA-positive group was significantly lower than that in the IFA-negative group [4.8 (2.8,6.3) vs.13.3 (5.8, 25.2) μg/L, t=-5.24, P<0.05; 1.0±0.6 vs. 2.2±1.6, t=-3.72, P<0.05]. Among the patients with AIG, 35.2% had anemia, including 1.8% with severe anemia. The relevant indicators showed no statistically significant differences between patients with and without anemia. After univariate and multivariate logistic analyses, we compared gastric function and Helicobacter pylori infection in patients with AIG and type B atrophic gastritis, and the gastrin 17 level was identified an independent differential factor between the two groups ( OR=0.913, 95% CI 0.851-0.978, P=0.010). Conclusion:The gastrin 17 level can help distinguish AIG and type B atrophic gastritis, and is valuable for early identification of AIG.

Objective:To explore the changes of brain excitation/inhibition balance and gray matter volume (GMV) and their correlations with clinical features in benign childhood epilepsy with centrotemporal spikes (BECTS).Methods:A cross-sectional study was performed; 83 BECTS children enrolled from Department of Diagnostic Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University from January 2015 to January 2024 were selected as BECTS group. During the same period, 101 age- and gender-matched healthy children were recruited as healthy control group through advertisements in local primary schools. Data of conventional MRI and resting-state functional MRI (rs-fMRI) of the two groups were collected. Whole brain GMV was analyzed by voxel-based morphometry (VBM), and Hurst index was calculated based on time series data of blood oxygen level dependent (BOLD) signal of rs-fMRI. Correlations of GMV and Hurst index with disease duration and onset age in children with BECTS were explored by Pearson correlation analysis.Results:Compared with the healthy control group, the BECTS group had significantly increased GMV and decreased Hurst index in the bilateral Rolandic region ( P<0.05). Pearson correlation analysis showed that in the BECTS group, GMV in bilateral Rolandic region was negatively correlated with onset age ( r=-0.267, P=0.015) and positively correlated with disease course ( r=0.267, P=0.015); Hurst index in bilateral Rolandic region was positively correlated with onset age ( r=0.323, P=0.003) and negatively correlated with disease course ( r=-0.240, P=0.029); Hurst index was negatively correlated with GMV in bilateral Rolandic region ( r=-0.328, P=0.003). Conclusion:BECTS children have excitation/inhibition imbalance in epilepsy-related regions and cortical structural delay, and both of them are related to onset age and disease course.

Objective: To systematically evaluate the willingness to receive influenza vaccines among Chinese medical staff, so as to provide the evidence for developing the influenza vaccination strategy and improving the coverage of influenza vaccination among medical staff. Methods: Publications pertaining to the willingness to receive influenza vaccines among Chinese medical staff were retrieved from international and national databases from January 1, 2010 to October 1, 2023, including CNKI, Wanfang Data, VIP, SinoMed, PubMed, Web of Science and Embase. A meta-analysis was performed using the software Stata 17.0, sensitivity analysis was performed using the leave-one-out method, and the publication bias was evaluated using Funnel plot. Results: Totally 674 publications were retrieved, and 17 case-control studies were finally enrolled, with 23 697 participants. Meta-analysis showed that the rate of willingness to receive influenza vaccines among medical staff in China was 52.8% (95%CI: 41.3%-64.4%). The rates of willingness to receive influenza vaccines were 40.2% (95%CI: 28.5%-51.8%) in 2019 and before and 67.2% (95%CI: 56.5%-77.9%) in 2020 and beyond; 54.6% (95%CI: 44.2%-65.0%) in men and 56.8% (95%CI: 49.3%-64.4%) in women; 53.6% (95%CI: 40.9%-66.2%) in doctors, 53.9% (95%CI: 41.0%-66.8%) in nurses, 62.8% (95%CI: 46.2%-79.3%) in technicians and 53.1% (95%CI: 36.1%-70.0%) in administrative and logistical staff; 77.4% (95%CI: 63.7%-91.2%) and 43.3% (95%CI: 30.5%-56.1%) in staff with and without a history of influenza vaccination; 49.8% (95%CI: 27.3%-72.3%) and 58.3% (95%CI: 43.9%-72.6%) in studies with a sample size of <1 000 and ≥1 000, and these differences were statistically significant (all P<0.05). Sensitivity analysis showed robustness of results, and Funnel plot showed publication bias. Conclusion The rates of willingness to receive influenza vaccines among medical staff in China ranged from 41.3% to 64.4%, and were lower in studies in 2019 and before, in men, in administrative and logistical staff and in staff without a history of influenza vaccination.

Tongue diagnosis is an indispensable objective basis for TCM diagnosis and treatment of epidemic diseases.To understand its application in an epidemic situation and to support in the diagnosis and treatment of infectious diseases using traditional Chinese medicine,the tongue image APP was implemented in this study to monitor the tongue image features of patients with new coronavirus pneumonia.It has been discovered through practice that the tongue image APP enables medical professionals to objectively,conveniently,quickly,and flexibly collect the patient's tongue image.It has also been discovered through the analysis of the tongue image characteristic data that the tongue image APP can,to a certain extent,objectively reflect the general law of the tongue image characteristics of the new crown pneumonia.According to the tongue image data gathered by the Tongue Image APP,Xinguan pneumonia patients'tongues were typically red,their fur was typically white,yellow,or both white and yellow,and they had a greater amount of thick and greasy fur.Nevertheless,there are still several issues with the Tongue APP application that have been noted:①The consistency of tongue shape and coating was poor;for instance,the inconsistency rate between a thin and fat tongue was as high as 62.96%;②The tongue image analysis index in the APP is still mostly a qualitative index,and the degree of discriminating is insufficient.The results of this study demonstrate that the tongue image information of different ages,sexes,disease classifications,and onset times does not reflect obvious differences and certain rules.③The tongue image characteristic indexes gathered by the tongue image APP are insufficient and do not include information on glossiness of tongue image(such as dark tongue)and tongue state.To promote the adoption of the tongue image APP and better support the prevention and treatment of epidemic diseases by traditional Chinese medicine,we should fully integrate modern advanced science and technology,improve the short videos of tongue coating,quantification of qualitative indicators,comprehensive collection of tongue image characteristic indicators,etc.