Abstract The prevention and control of myopia in Chinese children and adolescents has become a major public health issue. While maintaining increased outdoor activity as a cornerstone intervention, there is an urgent need to explore new complementary approaches that can be effectively implemented in both indoor and outdoor settings. In recent years, environmental spatial frequency has gained increasing attention as one of the key environmental factors influencing the development and progression of myopia. Both animal studies and human research have confirmed that indoor environments lacking mid to high spatial frequency components, often characterized as "visually impoverished", can promote axial elongation and myopia through mechanisms such as disruption of retinal neural signaling, impaired accommodative function, and altered expression of related molecules. Based on the scientific consensus, it is recommended that "enriching of environmental spatial frequency" should be integrated into the myopia prevention and control framework. Following the principles of schoolled organization, family cooperation, community involvement, and student participation, specific measures are put forward in three areas：optimizing school visual settings, improving home spatial environments, and promoting healthy visual behavior. The aim is to create "visually friendly" indoor environments as an important supplement to outdoor activity, thereby providing a novel perspective and strategy for comprehensively advancing myopia prevention and control among children and adolescents.

Objective To observe the value of synthetic MRI(SyMRI)MAGnetic resonance image Compilation(MAGiC)sequence parameters for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma.Methods Sixty-six patients with pathologically confirmed cervical cancer were retrospectively enrolled and divided into cervical squamous cell carcinoma group(n=56)and cervical adenocarcinoma group(n=10).Quantitative MAGiC parameters were collected and compared between groups,and those being significantly different were combined to construct a logistic regression model.The performance of each parameter alone and their combination for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma was evaluated with receiver operating characteristic(ROC)curve and the area under the curve(AUC).Results In cervical adenocarcinoma group,lesions's T1 and T2 were higher,while R1 and R2 were lower than those in cervical squamous cell carcinoma group(all P＜0.05).No statistically significant difference of proton density was found between groups(P＞0.05).The AUC of T1,T2,R1,R2 alone and their combination for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma was 0.959,0.945,0.961,0.942 and 0.996,respectively,and no significant difference was found between each two ones(Z=0.267 to 1.396,all P＞0.05).Conclusion SyMRI had high value for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma.

Objective: To establish a progressive research strategy for “colonic components analysis - efficacy verification and mechanism exploration - gut microbiota”, screen pharmacodynamic substances, and investigate their mechanism via gut microbiota. Methods: The pharmacodynamics of Gegen Qinlian decoction (GQD) were assessed using a mouse model of dextran sulfate sodium-induced ulcerative colitis (UC). Ultra-performance liquid chromatography-quadrupole-orbitrap mass spectrometer was used to identify the prototype and metabolic components of GQD in the colon during UC. To analyze the structure and function of characteristic genera of GQD and its active components, 16S rRNA sequencing was performed. Results: We identified 67 prototypic and 14 metabolic components of GQD in the UC colon. The primary prototype components are flavonoids and alkaloids, including puerarin (PUE), baicalin (BAI), and berberine (BER). The metabolism was predominantly sulfonation. Efficacy verification showed that the main active components, puerarin, baicalin, and berberine, had good therapeutic effects on UC. The results of 16S rRNA gene sequencing showed that GQD improved UC by regulating the structure and function of the gut microbiota. The abundance of gut microbiota involved in the metabolism of the prototype components was influenced by the corresponding components. The function prediction results showed that PUE was the most comparable to GQD, with 24 consistent pathways. BAI and BER showed comparable gut microbiota regulation pathways. Characteristic pathways of BER include glucometabolic processes. Conclusion This study focused on the key issues in the gut microbiota pathway and developed a progressive research strategy to understand the transformation mechanisms of colonic components. This research systematically analyzed the active components and metabolic transformation of GQD in the colon during the pathological state of UC, as well as changes in the structure and function of the gut microbiota, clarified the mechanism of GQD and its active components in improving UC via the gut microbiota pathway.

Objective To observe the value of synthetic MRI(SyMRI)MAGnetic resonance image Compilation(MAGiC)sequence parameters for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma.Methods Sixty-six patients with pathologically confirmed cervical cancer were retrospectively enrolled and divided into cervical squamous cell carcinoma group(n=56)and cervical adenocarcinoma group(n=10).Quantitative MAGiC parameters were collected and compared between groups,and those being significantly different were combined to construct a logistic regression model.The performance of each parameter alone and their combination for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma was evaluated with receiver operating characteristic(ROC)curve and the area under the curve(AUC).Results In cervical adenocarcinoma group,lesions's T1 and T2 were higher,while R1 and R2 were lower than those in cervical squamous cell carcinoma group(all P＜0.05).No statistically significant difference of proton density was found between groups(P＞0.05).The AUC of T1,T2,R1,R2 alone and their combination for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma was 0.959,0.945,0.961,0.942 and 0.996,respectively,and no significant difference was found between each two ones(Z=0.267 to 1.396,all P＞0.05).Conclusion SyMRI had high value for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma.

Objective:To analyze the changes of measurement indicators of Chinese Journal of Trauma (hereinafter termed as the "Journal") from 2014 to 2023. Methods:The data from the Annual Report for Chinese Academic Journals Impact Factors ( natural science and engineering technology) were used to aggregate, analyze, and evaluate the clout index, impact factor, number of articles published, number of citations that can be cited, and total citation, etc. of the Journal from 2014 to 2023. Results:The changes in measurement indicators of the Journal from 2014 to 2023 were as follows: (1) The clout index averaged 555.652, with slight decrease in the first 6 years and rapid increase in the following 4 years. (2) The composite impact factor averaged 1.270, and the comprehensive impact factor averaged 1.174. (3) The average number of articles published was 303, and the average number of citations that can be cited was 213, both of which had decreased over the years. (4) The average composite total citation was 2 556 times, keeping over 2 100 times per year. The average comprehensive citation count was 1 987 times. (5) The average ratio of fund papers was 0.54, with the average citing half-life of 5.3 years and average cited half-life of 4.4 years. The average number of citing journals was 290, with average number of cited journals of 534. The ratio of other-citations to total-citations had been consistently at a high level with an average of 0.92. The total download volume averaged 18 200 times. The mass index averaged 3.146, with the level of the index in 2023 five times as much as that in 2015.Conclusion:The clout index, impact factor and mass index of the Journal have steadily increased over the past 10 years, while the number of citations that can be cited has slightly decreased.

Objective To explore the value of deep learning models in predicting axillary lymph node(ALN)metastasis of breast cancer based on intratumoral and peritumoral dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI).Methods A retrospective analysis was conducted on cases from Tianjin Medical University Cancer Hospital and Laoshan Branch of Affiliated Hospital of Qingdao University,involving a total of 850 lesions in 850 patients.The region of interest within the tumor was delineated at the largest area of the lesion on the first enhancement images and automatically expanded by 3 mm and 6 mm in a conformal fashion.Deep learning prediction models based on ResNet50 were developed via intratumoral,peritumoral,and intratumoral combined peritumoral models,respectively,and a comprehensive prediction model was developed by integrating semantic features of imaging reports.Cases from Tianjin Medical University Cancer Hospital were randomly divided into training and test cohorts in a 7∶3 ratio,while cases from Laoshan Branch of Affiliated Hospital of Qingdao University served as the external validation cohort.The area under the curve(AUC),accuracy,sensitivity,specificity,F1-score,and Brier-score were calculated,respectively.Results The model incorporating intratumoral,peritumoral(3 mm),and semantic features demonstrated the highest performance,with AUC of 0.801[95％confidence interval(CI)0.765-0.845],0.781(95％CI 0.745-0.817),and 0.752(95％CI 0.700-0.793)in the training cohort,test cohort,and external validation cohort,respectively,and there was no significant difference in AUC between combined model and intratumoral/peritumoral model,respectively,but it demonstrated the higher sensitivity and F1-score,and the lower Brier-score.Conclusion Incorporating peritumoral images into the conventional model based on intratumoral images enhanced the predictive ability of ALN metastasis in breast cancer.

Objective:To analyze the expression of FAT1 gene in pancreatic adenocarcinoma and its relationship with clinicopathological features, prognosis, and immunotherapy for pancreatic adenocarcinoma.Methods:(1) Bioinformatics analysis: based on FAT1 mRNA expression and clinical data of 179 cases of pancreatic adenocarcinoma in the TCGA database, and FAT1 mRNA expression data of 328 cases of normal pancreatic tissues in the GTEx database. We analyzed the differences in FAT1 mRNA expression in pancreatic adenocarcinoma and normal pancreatic tissues and the relationship between FAT1 mRNA expression and the degree of differentiation, clinical stage, prognosis, immune cell infiltration, and immune checkpoint-associated genes in pancreatic adenocarcinoma. FAT1-related differentially expressed genes were analyzed by applying Limma 3.40.2 software package, and GO and KEGG enrichment analysis was performed on the differentially expressed genes. Immunohistochemical (IHC) of FAT1 in pancreatic adenocarcinoma and normal pancreatic tissues was analyzed by HPA database. (2) Validation of own tissue samples: tissue samples and clinical and prognostic data of 192 patients with pancreatic ductal adenocarcinoma admitted to Zhejiang Cancer Hospital from March 8, 2010 to September 30, 2020 were collected. IHC was performed on the tissue samples to verify the protein expression of FAT1 in pancreatic adenocarcinoma and its relationship with immune-related proteins, the degree of differentiation of pancreatic adenocarcinoma, clinical staging, and prognosis.Results:(1) Bioinformatics analysis: the FAT1 mRNA expression of 179 pancreatic adenocarcinoma tissues from the TCGA database was 5.55±1.04, which was higher than that of 328 normal pancreatic tissues with FAT1 mRNA from the GTEx database (2.95±0.53, P＜0.001). FAT1-specific IHC images showed that FAT1 expression was generally high in pancreatic adenocarcinoma tissues, and FAT1 expression shifted from the cell membrane to the cytoplasm. The FAT1 mRNA expression in the highly differentiated group (31 cases), the moderately differentiated group (96 cases), and the lowly differentiated group (52 cases) were 4.99±1.46, 5.51±0.80, and 5.68±1.08, the expression of pancreatic adenocarcinoma tissues were all higher than that of normal pancreatic tissues (all P＜0.001), and the FAT1 mRNA expression of the moderately differentiated group and the poorly differentiated group were all higher than that of the highly differentiated group (all P＜0.001). The median progression-free survival time (PFS) and median overall survival time (OS) of the 90 patients in the FAT1 mRNA low-expression group were 16.5 and 24 months, respectively, which were longer than those of the 89 patients in the FAT1 mRNA high-expression group (median PFS and OS were 13 and 18 months, respectively; P-values were 0.011 and 0.005, respectively). Multifactorial Cox regression analysis showed that FAT1 mRNA expression level was an independent influencing factor for OS in pancreatic adenocarcinoma patients ( HR=1.47, 95% CI: 1.09-1.99). Correlation analysis showed that FAT1 mRNA expression in pancreatic adenocarcinoma was positively correlated with B-cell infiltration, CD8+ T-cell infiltration, neutrophil infiltration, macrophage infiltration, and myeloid dendritic cell infiltration ( ρ=0.27, P＜0.001; ρ=0.28, P＜0.001; ρ=0.32, P＜0.001; ρ=0.21, P=0.004; ρ=0.32, P＜0.001), and also positively correlated with mRNA expression of CD274, HAVCR2, and PDCD1LG2 ( r=0.327, P＜0.001; r=0.231, P=0.002; r=0.258, P＜0.001). GO and KEGG enrichment analyses showed that FAT1 mRNA expression levels were associated with activation of the Wnt signaling pathway ( P=0.029), the PI3K/Akt pathway ( P<0.001), and other tumor microenvironment-related pathways. (2) Validation of own tissue samples: among 192 pancreatic adenocarcinoma tissues, FAT1 was highly expressed in 58 cases (30.21%), and the proportion of FAT1-expressing positive tumor cells was positively correlated with the combined positive score of PD-L1 and the number of CD3+ T-cells infiltration ( r=0.154, P=0.032; r=0.287, P＜0.001), and the protein expression of FAT1 had no correlation with the differentiation degree of pancreatic adenocarcinoma ( ρ=0.082, P=0.254). The median OS of 58 patients in the FAT1 high-expression group and 134 patients in the FAT1 low-expression group were 18.89 and 25.84 months, respectively, and the difference was not statistically significant (χ2=1.93, P=0.165). Conclusion:FAT1 gene is highly expressed in pancreatic adenocarcinoma tissues, may play an oncogenic role in pancreatic adenocarcinoma, may be an adverse influence on overall survival and progression-free survival of patients; FAT1 gene may be involved in multiple immune-related pathways and promote tumor immune escape.

Objective:To analyze the expression of FAT1 gene in pancreatic adenocarcinoma and its relationship with clinicopathological features, prognosis, and immunotherapy for pancreatic adenocarcinoma.Methods:(1) Bioinformatics analysis: based on FAT1 mRNA expression and clinical data of 179 cases of pancreatic adenocarcinoma in the TCGA database, and FAT1 mRNA expression data of 328 cases of normal pancreatic tissues in the GTEx database. We analyzed the differences in FAT1 mRNA expression in pancreatic adenocarcinoma and normal pancreatic tissues and the relationship between FAT1 mRNA expression and the degree of differentiation, clinical stage, prognosis, immune cell infiltration, and immune checkpoint-associated genes in pancreatic adenocarcinoma. FAT1-related differentially expressed genes were analyzed by applying Limma 3.40.2 software package, and GO and KEGG enrichment analysis was performed on the differentially expressed genes. Immunohistochemical (IHC) of FAT1 in pancreatic adenocarcinoma and normal pancreatic tissues was analyzed by HPA database. (2) Validation of own tissue samples: tissue samples and clinical and prognostic data of 192 patients with pancreatic ductal adenocarcinoma admitted to Zhejiang Cancer Hospital from March 8, 2010 to September 30, 2020 were collected. IHC was performed on the tissue samples to verify the protein expression of FAT1 in pancreatic adenocarcinoma and its relationship with immune-related proteins, the degree of differentiation of pancreatic adenocarcinoma, clinical staging, and prognosis.Results:(1) Bioinformatics analysis: the FAT1 mRNA expression of 179 pancreatic adenocarcinoma tissues from the TCGA database was 5.55±1.04, which was higher than that of 328 normal pancreatic tissues with FAT1 mRNA from the GTEx database (2.95±0.53, P＜0.001). FAT1-specific IHC images showed that FAT1 expression was generally high in pancreatic adenocarcinoma tissues, and FAT1 expression shifted from the cell membrane to the cytoplasm. The FAT1 mRNA expression in the highly differentiated group (31 cases), the moderately differentiated group (96 cases), and the lowly differentiated group (52 cases) were 4.99±1.46, 5.51±0.80, and 5.68±1.08, the expression of pancreatic adenocarcinoma tissues were all higher than that of normal pancreatic tissues (all P＜0.001), and the FAT1 mRNA expression of the moderately differentiated group and the poorly differentiated group were all higher than that of the highly differentiated group (all P＜0.001). The median progression-free survival time (PFS) and median overall survival time (OS) of the 90 patients in the FAT1 mRNA low-expression group were 16.5 and 24 months, respectively, which were longer than those of the 89 patients in the FAT1 mRNA high-expression group (median PFS and OS were 13 and 18 months, respectively; P-values were 0.011 and 0.005, respectively). Multifactorial Cox regression analysis showed that FAT1 mRNA expression level was an independent influencing factor for OS in pancreatic adenocarcinoma patients ( HR=1.47, 95% CI: 1.09-1.99). Correlation analysis showed that FAT1 mRNA expression in pancreatic adenocarcinoma was positively correlated with B-cell infiltration, CD8+ T-cell infiltration, neutrophil infiltration, macrophage infiltration, and myeloid dendritic cell infiltration ( ρ=0.27, P＜0.001; ρ=0.28, P＜0.001; ρ=0.32, P＜0.001; ρ=0.21, P=0.004; ρ=0.32, P＜0.001), and also positively correlated with mRNA expression of CD274, HAVCR2, and PDCD1LG2 ( r=0.327, P＜0.001; r=0.231, P=0.002; r=0.258, P＜0.001). GO and KEGG enrichment analyses showed that FAT1 mRNA expression levels were associated with activation of the Wnt signaling pathway ( P=0.029), the PI3K/Akt pathway ( P<0.001), and other tumor microenvironment-related pathways. (2) Validation of own tissue samples: among 192 pancreatic adenocarcinoma tissues, FAT1 was highly expressed in 58 cases (30.21%), and the proportion of FAT1-expressing positive tumor cells was positively correlated with the combined positive score of PD-L1 and the number of CD3+ T-cells infiltration ( r=0.154, P=0.032; r=0.287, P＜0.001), and the protein expression of FAT1 had no correlation with the differentiation degree of pancreatic adenocarcinoma ( ρ=0.082, P=0.254). The median OS of 58 patients in the FAT1 high-expression group and 134 patients in the FAT1 low-expression group were 18.89 and 25.84 months, respectively, and the difference was not statistically significant (χ2=1.93, P=0.165). Conclusion:FAT1 gene is highly expressed in pancreatic adenocarcinoma tissues, may play an oncogenic role in pancreatic adenocarcinoma, may be an adverse influence on overall survival and progression-free survival of patients; FAT1 gene may be involved in multiple immune-related pathways and promote tumor immune escape.

Objective:To analyze the changes of measurement indicators of Chinese Journal of Trauma (hereinafter termed as the "Journal") from 2014 to 2023. Methods:The data from the Annual Report for Chinese Academic Journals Impact Factors ( natural science and engineering technology) were used to aggregate, analyze, and evaluate the clout index, impact factor, number of articles published, number of citations that can be cited, and total citation, etc. of the Journal from 2014 to 2023. Results:The changes in measurement indicators of the Journal from 2014 to 2023 were as follows: (1) The clout index averaged 555.652, with slight decrease in the first 6 years and rapid increase in the following 4 years. (2) The composite impact factor averaged 1.270, and the comprehensive impact factor averaged 1.174. (3) The average number of articles published was 303, and the average number of citations that can be cited was 213, both of which had decreased over the years. (4) The average composite total citation was 2 556 times, keeping over 2 100 times per year. The average comprehensive citation count was 1 987 times. (5) The average ratio of fund papers was 0.54, with the average citing half-life of 5.3 years and average cited half-life of 4.4 years. The average number of citing journals was 290, with average number of cited journals of 534. The ratio of other-citations to total-citations had been consistently at a high level with an average of 0.92. The total download volume averaged 18 200 times. The mass index averaged 3.146, with the level of the index in 2023 five times as much as that in 2015.Conclusion:The clout index, impact factor and mass index of the Journal have steadily increased over the past 10 years, while the number of citations that can be cited has slightly decreased.

Inflammatory bowel disease (IBD) is a formidable disease due to its complex pathogenesis. Macrophages, as a major immune cell population in IBD, are crucial for gut homeostasis. However, it is still unveiled how macrophages modulate IBD. Here, we found that LIM domain only 7 (LMO7) was downregulated in pro-inflammatory macrophages, and that LMO7 directly degraded 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 3 (PFKFB3) through K48-mediated ubiquitination in macrophages. As an enzyme that regulates glycolysis, PFKFB3 degradation led to the glycolytic process inhibition in macrophages, which in turn inhibited macrophage activation and ultimately attenuated murine colitis. Moreover, we demonstrated that PFKFB3 was required for histone demethylase Jumonji domain-containing protein 3 (JMJD3) expression, thereby inhibiting the protein level of trimethylation of histone H3 on lysine 27 (H3K27me3). Overall, our results indicated the LMO7/PFKFB3/JMJD3 axis is essential for modulating macrophage function and IBD pathogenesis. Targeting LMO7 or macrophage metabolism could potentially be an effective strategy for treating inflammatory diseases.