Objective: To understand the subjective and objective comfort evaluations of students from different age groups on desks and chairs, so as to provide reference for standardized allocation and use of desks and chairs. Methods: From January to April 2024, a total of 2 446 students were selected from 26 schools in 13 districts (counties/cities) in Shanghai, Tianjin, and Wuxi from Jiangsu Province by using cluster random method, including students in kindergartens, primary schools, junior high schools,senior high schools, colleges and universities. Standardized procedures were used to measure the height and weight of participants, and the matching desks and chairs models were selected according to the height. The subjective comfort of students on matching desks and chairs was investigated, and their objective comfort was evaluated by using a self designed questionnaire. The χ 2 test was used to analyze the differences of subjective perception and objective evaluation in comfort between different types of desks and chairs. Results: About 84.1% of the students subjectively thought that large desks and small chairs were very comfortable or relatively comfortable, followed by large desks and chairs (75.7%), and the proportion of small desks and chairs was the lowest among the three types (46.2%), and the difference was statistically significant ( χ 2=722.46, P <0.01). The reporting rates of primary school, junior high school and senior high school students who subjectively considered large desks and chairs to be very comfortable/relatively comfortable were higher than that of other types of desks and chairs, and the differences were statistically significant ( χ 2=297.49, 252.82, 343.67, P <0.01). However, there was no significant difference in the subjective comfort evaluation of different types of desks and chairs among kindergarten children ( χ 2=3.21, P >0.05), and 66.3% of the students in colleges and universities felt very comfortable/relatively comfortable when they used the matching standard desks and chairs. The objective evaluation results of the comfort for the three types of desks and chairs were consistent with the subjective evaluation, but the proportions of the objective evaluation as very comfortable/relatively comfortable were higher than that of the subjective evaluation ( χ 2=20.76- 813.47, P <0.01). Conclusions Large desks and chairs, as well as large desks with small chairs are perceived comfortable, while small desks and chairs are perceived less comfortable. It is recommended to match the large desks and chairs or large desks and small chairs that are suitable for them according to the "standard", to promote physical and mental health of students.

Objective: To investigate the differences in the comfort of desks and chairs furniture among students with different body types according to the standard, so as to provide a reference for guiding students with overweight and obesity to choose the correct study furniture and revising the standards. Methods: From January to April 2024, 2 443 students from 26 schools in 13 districts (counties/cities) in Shanghai, Tianjin, and Jiangsu Province were selected by the cluster random sampling method to conduct physical examination. The subjective and objective evaluations of the comfort of height matched desks and chairs were investigated. The students were divided into non overweight, overweight, and obesity groups according to relevant criteria, and stratified analysis was performed. The χ 2 test was used to analyze differences in the comfort evaluations of desks and chairs among students with different body types. Results: Among the 2 443 students surveyed, 16.7% and 12.6% were respectively classified as overweight and obese. All students assigned the highest comfort ratings to large desks and small chairs (84.1%), and consistency was observed between students subjective and objective evaluations. The reporting rate of samll desks and chairs of obesity students subjective evaluation was lower (36.8%) than that of overweight and non overweight/obesity students (52.1%, 48.0%) ( χ 2=14.63, P <0.01). The overweight and obese group of primary school students had a worse evaluation of the comfort of large desks and chairs and small desks and chairs than those of the non overweight and obese groups( χ 2=15.78, 7.63, P <0.05). Among high school students, the overweight and obese group had worse evaluation of the comfort of large desks and chairs, as well as large desks and small chairs, than those of the non-overweight and obese groups( χ 2=9.62, 11.77, P <0.05). The objective evaluations revealed low compliance ratings on the posture of the thighs and calves for naturally forming an angle greater than 90° (55.6%), and headroom height under the table (50.3%) with small desks and chairs ( χ 2=94.05, 166.47, P <0.05). Conclusions Compared with non overweight/obese students, students with overweight and obese students report poor comfort evaluations of height matched desks and chairs. Revision of the standard should consider the body types of students, and evaluations of the comfort of desks and chairs furniture by students with overweight and obesity should be improved.

ObjectiveTo explore the possible mechanism of Modified Gegen Qinlian Decoction （加味葛根芩连汤， MGQD） in the treatment of ulcerative colitis （UC） based on intestinal mucus barrier. MethodsThirty C57BL/6 mice were randomly divided into a control group， a model group and a MGQD group with 10 mice in each. Dextran Sulfate Sodium Salt （DSS） was used to construct the UC model in all groups except for the control group. Meanwhile， mice in the MGQD group were given 20 g/kg of MGQD decoction by gavage according to their body weight， while those in the control group and model group were given 0.2 ml/20 g of pure water by gavage， once a day for 7 consecutive days. On the day following the last gavage， the body weight， disease activity index （DAI） score， spleen weight， and colon length were compared. The pathological changes of the intestinal mucosal tissues were observed by HE staining； the protein expression levels of mucin 2 （MUC2） and leucine-rich repeat G protein-coupled receptor 5 （Lgr5） in the intestinal mucosal tissues were detected by immunofluorescence； the cuprocytes in the intestinal mucosal tissues were detected by AB/PAS staining； and the expression level of Ki67 in the intestinal mucosal tissues was detected by immunohistochemistry. ResultsHE staining showed that the colon mucosal tissue of the mice in the control group was intact. In the model group， the colon mucosal epithelial structure was severely damaged， with a large amount of inflammatory cell infiltration in the mucosal propria. In the MGQD group， the mucosal tissue structure was partially lost， with a small amount of inflammatory cell infiltration.The body weight and colon length of mice in the model group decreased significantly compared to those in the control group， while DAI scores and spleen weight increased， and the levels of MUC2， Ki67， Lgr5 proteins， and the number of goblet cells were significantly reduced （P＜0.01）. Compared to the model group， the MGQD group had increased body weight of mice， colon length， and decreased DAI scores and spleen weight； the levels of MUC2， Ki67， Lgr5 proteins， and the number of goblet cells were increased （P＜0.05 or P＜0.01）. ConclusionMGQD has a favorable ameliorative effect on UC-related symptoms and pathological tissue damage， and its mechanism of action may be related to the restoration of the prolife-ration and differentiation of intestinal stem cells into goblet cells， thereby promoting the repair of the intestinal mucus barrier.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

ObjectiveTo collate and compare the characteristics and differences in the methods for constructing animal models of different subtypes of gastroesophageal reflux disease （GERD） based on literature， providing a reference for researchers in this field regarding animal model construction. MethodsExperimental studies related to GERD including reflux esophagitis （RE）， nonerosive reflux disease （NERD） and Barrett's esophagus （BE） model construction from January 1， 2014 to January 27， 2024， were retrieved from databases such as CNKI， Wanfang， VIP， Web of Science， and Pubmed. Information on animal strains， genders， modeling methods including disease-syndrome combination models， modeling cycles were extracted； for studies with model evaluation， the methods of model evaluation were also extracted； then analyzing all those information. ResultsA total of 182 articles were included. SD rats were most frequently selected when inducing animal models of RE （88/148， 59.46%） and NERD （9/14， 64.29%）. For BE， C57BL/6 mice were most commonly used （11/20， 55.00%）. Male animals （RE： 111/135， 82.22%； NERD： 11/14， 78.57%； BE： 10/12， 83.33%） were the most common gender among the three subtypes. The key to constructing RE animal models lies in structural damage to the esophageal mucosal layer， gastric content reflux， or mixed reflux， among which forestomach ligation + incomplete pylorus ligation （42/158， 26.58%） was the most common modeling method； the key to constructing NERD animal models lies in micro-inflammation of the esophageal mucosa， visceral hypersensitivity， and emotional problems， and intraperitoneal injection of a mixed suspension of ovalbumin and aluminum hydroxide combined with acid perfusion in the lower esophagus （8/14， 57.14%） was the most common modeling method； the key to constructing BE animal models lies in long-term inflammatory stimulation of the esophageal mucosa and bile acid reflux， and constructing interleukin 2-interleukin 1β transgenic mice （7/25， 28.00%） was the most common modeling method. Adverse psychological stress was the most common method for inducing liver depression. ConclusionsThe construction key principles and methodologies for RE， NERD， and BE animal models exhibit significant differences. Researchers should select appropriate models based on subtype characteristics （e.g.， RE focusing on structural damage， NERD emphasizing visceral hypersensitivity）. Current studies show insufficient exploration of traditional Chinese medicine disease-syndrome combination models. Future research needs to optimize syndrome modeling approaches （e.g.， composite etiology simulation） and establish integrated Chinese-Western medicine evaluation systems to better support mechanistic investigations of traditional Chinese medicine.

Organoid technology， a rapidly advancing three-dimensional （3D） cell culture platform， can closely mimic the microarchitecture and functions of human digestive organs， effectively overcoming the limitations of conventional two-dimensional cell models and animal experiments. By systematically summarizing the distinctive strengths of organoid technology in simulating digestive physiological and pathological states， constructing digestive system disease models， enabling high-throughput drug screening， and facilitating personalized treatment， this review explored the potential applications of organoids in identifying active components of traditional Chinese medicine （TCM） formulas， evaluating in vitro pharmacokinetics and toxicological parameters， and investigating multi-target synergistic mechanisms. By integrating cutting-edge engineering technologies， organoids are expected to provide a more scientific research platform for TCM， accelerate the modernization of its mechanistic studies， and enhance its scientific value and global impact.

Objective To analyze the TCM syndrome and treatment rule for the treatment of chronic atrophic gastritis based on data mining;To provide reference for its clinical treatment.Methods With the help of the big data platform of evidence-based literature of TCM covering several dominant diseases in the field of digestion,literature on the experience of famous doctors,theoretical discussion and case reports in the treatment of chronic atrophic gastritis published from 1 January 2000 to 31 July 2022 was retrieved.Medical records were screened according to the inclusion and exclusion criteria.The data of TCM disease names,clinical symptoms,tongue manifestation,pulse manifestation,TCM syndrome,TCM treatment method and other terms in medical records were standardized and statistically analyzed.Results Totally 169 articles were included,including 228 medical cases,involving 228 patients,with a cumulative number of 361 visits,with an average age of(53.17±11.11)years old,with the largest number of 50-60 years old.Chronic atrophic gastritis mostly belonged to the categories of"stomach pain"and"epigastric puffiness"in TCM,and its main symptoms were stomach pain,epigastric puffiness and belching.The common tongue manifestation include dark red tongue,white moss,thin or greasy moss.The common pulse manifestation included wiry slippery pulse,wiry thready pulse and wiry pulse.The high-frequency syndromes included liver-stomach qi stagnation syndrome,spleen-stomach dampness-heat syndrome,liver-qi stagnation and spleen-qi deficiency syndrome.The disease locations were mainly in the stomach,spleen and liver,and the syndrome elements were mainly qi deficiency,qi stagnation,blood stasis,dampness and heat,etc.The complex syndrome elements were more than the single syndrome elements,and the two syndrome elements of qi deficiency + qi stagnation was the most common.The most commonly used treatment methods were supplementing,regulating qi and regulating blood.Conclusion The treatment of chronic atrophic gastritis with TCM mostly focuses on the stomach,spleen and liver.The core syndrome elements are qi deficiency,qi stagnation,and blood stasis.The methods of nourishing qi and strengthening the spleen,soothing the liver and stomach,regulating qi and blood are often used.

The construction of standard system is an important part of standardization work， and also the top-level design of standardization work.Taking the group standards of the China Association of Chinese Medicine as a reference， and following the steps of establishing an expert group， literature research， Delphi method expert consultation and expert meeting， it was clarified that the content of the standard system for clinical diagnosis and treatment techniques of gastroenterology in traditional Chinese medicine， including terms （symptoms and signs， syndromes and syndrome components， and therapeutic principles and methods）， guidelines and standards （traditional Chinese medicine disease name， western medicine disease name， and classical syndromes）， effectiveness evaluation （modern medicine evaluation， traditional Chinese medicine characteristics of diseases， symptoms and signs grading， traditional Chinese medicine syndrome evaluation）， and practical techniques. Meanwhile， the structure chart of the standard system， the table of standard details and the table of statistical standards were compiled to lay the foundation for the standardisation of clinical diagnosis and treatment techniques of gastroenterology， and to provide reference for the construction of the standard system of various disciplines.