Proteus mirabilis is a significant foodborne pathogen that frequently causes diseases in humans and animals.Understanding the cytokine profile alterations following gastrointestinal in-fection with P.mirabilis is crucial for developing effective treatment strategies.This study em-ployed an intragastric infection model in mice to observe clinical symptoms and pathological chan-ges.Blood samples were collected at various time points post-infection,and the concentrations of 21 cytokines in the serum of both infected and control mice were quantitatively analyzed using the Bio-Plex suspension array system.The results of the infection experiment indicated that gastroin-testinal infection with P.mirabilis in mice led to splenic hemorrhage and significant splenomegaly.A notable difference in spleen index between the infected and control groups was observed at 24 hours post-infection(P=0.001 688),with the greatest difference occurring at 96 hours post-infec-tion(P=0.000 074).Cytokine analysis revealed significant elevations in IL-2,IL-17A,KC,Eotax-in,MCP-1,RANTES,MIP-1α,MIP-1β,IFN-γ,G-CSF,and IL-10 levels in the infected group.A-mong these,the pro-inflammatory cytokines IL-17A and G-CSF exhibited the most substantial changes,positively correlating with the splenomegaly,and peaking at 96 hours post-infection,with concentrations of(104.74±3.91)and(5 184.08±280.22)ng/L,respectively,which were 26.79 and 36.25 times higher than those in the control group.These findings indicate that IL-17A and G-CSF play significant roles in the pro-inflammatory response following gastrointestinal infection with P.mirabilis.

Proteus mirabilis is a significant foodborne pathogen that frequently causes diseases in humans and animals.Understanding the cytokine profile alterations following gastrointestinal in-fection with P.mirabilis is crucial for developing effective treatment strategies.This study em-ployed an intragastric infection model in mice to observe clinical symptoms and pathological chan-ges.Blood samples were collected at various time points post-infection,and the concentrations of 21 cytokines in the serum of both infected and control mice were quantitatively analyzed using the Bio-Plex suspension array system.The results of the infection experiment indicated that gastroin-testinal infection with P.mirabilis in mice led to splenic hemorrhage and significant splenomegaly.A notable difference in spleen index between the infected and control groups was observed at 24 hours post-infection(P=0.001 688),with the greatest difference occurring at 96 hours post-infec-tion(P=0.000 074).Cytokine analysis revealed significant elevations in IL-2,IL-17A,KC,Eotax-in,MCP-1,RANTES,MIP-1α,MIP-1β,IFN-γ,G-CSF,and IL-10 levels in the infected group.A-mong these,the pro-inflammatory cytokines IL-17A and G-CSF exhibited the most substantial changes,positively correlating with the splenomegaly,and peaking at 96 hours post-infection,with concentrations of(104.74±3.91)and(5 184.08±280.22)ng/L,respectively,which were 26.79 and 36.25 times higher than those in the control group.These findings indicate that IL-17A and G-CSF play significant roles in the pro-inflammatory response following gastrointestinal infection with P.mirabilis.

Objective:To compare the imaging quality and metabolic quantitative parameters of pulmonary nodules between Q. Flex whole information five-dimensional (5D) and conventional three-dimensional (3D) PET/CT imaging for clinical evaluation.Methods:Fifty-four patients (30 males, 24 females, age: 60(42, 75) years; 78 solid pulmonary nodules (maximum diameter≤3 cm) with abnormal uptake of 18F-FDG) from Tianjin Cancer Hospital Airport Hospital between June 2022 and August 2022 were enrolled in this retrospective study. All patients underwent 5D scanning and 3D, 5D reconstruction. Image quality scores, signal-to-noise ratio (SNR), SUV max, SUV mean and metabolic tumor volume (MTV) of pulmonary nodules of 5D group and 3D group were evaluated and compared with χ2 test and Wilcoxon signed rank test. Correlation of quantitative parameters between 2 groups were analyzed by using Spearman rank correlation analysis. Results:Thirty-five of 78(45%) pulmonary nodules with image quality score≥4 were found in 5D group, which were more than those in 3D group (22/78(28%); χ2=4.67, P=0.031). Meanwhile, SNR, SUV max, SUV mean, and MTV were significantly positively correlated between the 2 groups ( rs values: 0.86, 0.86, 0.85, and 0.95, all P<0.001). SNR, SUV max and SUV mean of pulmonary nodules in 5D group were significantly higher than those in 3D group, which were 37.46(18.42, 62.00) vs 32.72(16.97, 54.76) ( z=-4.07, P<0.001), 9.71(5.48, 13.82) vs 8.96(4.82, 12.63) ( z=-3.05, P<0.001) and 6.30(3.39, 8.94) vs 5.61(2.99, 7.63)( z=-4.07, P<0.001) respectively. MTV of pulmonary nodules in 5D group was significantly lower than that in 3D group, which was 1.72(0.66, 2.74) cm 3vs 1.98(1.06, 4.63) cm 3 ( z=-7.13, P<0.001). Quantitative parameters of lower lung field and nodules with maximum diameters of >10 mm and ≤20 mm based on 5D scanning changed most significantly compared with those based on 3D scanning ( z values: from -5.23 to -2.48, all P<0.05). Conclusion:Q. Flex 5D PET significantly improves the quantitative accuracy of SUV and MTV of pulmonary nodules, and the improvement of image quality is substantial without increasing the radiation dose, which has clinical practical value.

Objective:To explore the predictive value of 18F-FDG PET/CT in molecular subtyping of triple-negative breast cancer. Methods:A retrospective analysis was performed on the clinical and imaging data of 227 breast cancer patients who underwent 18F-FDG PET/CT examination in the Tianjin Medical University Cancer Institute & Hospital from January 1, 2010 to December 31, 2022. Based on the expression levels of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER-2) in the primary breast cancer, the patients were categorized into two groups: triple-negative breast cancer (TNBC) and non-TNBC. Radiomic features were extracted from images of both groups, and a radiomic model was constructed to predict the molecular subtype of the TNBC groups. In addition, the clinical data, CT morphological features, and PET metabolic parameters of both groups were compared to determine the indicators with statistically significant differences and develop a comprehensive radiomic model combined with clinical characteristics. Results:Compared to the non-TNBC group, the TNBC groups exhibited more significant invasiveness in terms of tumor diameter, margins, ipsilateral axillary lymph node metastasis, invasion of neighboring skin or papillae, and PET metabolic parameters ( t = -3.19; χ2 = 7.30, 8.10, 5.34; t = 3.80, 3.30, 3.42, P < 0.05). The constructed 18F-FDG PET/CT radiomic model proved effective in predicting the molecular subtype of the TNBC group, and the receiver operating characteristic (ROC) curve showed an area under the curve (AUC) of 0.83 (95% CI 0.78-0.88), an accuracy of 75.9%, a sensitivity of 74.5%, and a specificity of 77.2%. In contrast, the constructed comprehensive radiomic model displayed an AUC of 0.86 (95% CI 0.81-0.90), an accuracy of 77.2%, a sensitivity of 78.6%, and a specificity of 75.9%. Conclusions:18F-FDG PET/CT plays an important role in predicting molecular subtypes of TNBC. The constructed radiomic model and comprehensive radiomic model can further enhance the prediction efficacy of PET metabolic parameters and accelerate the development of accurate treatment protocols in clinical practice, thus improving the prognosis of breast cancer.

Objective:To explore the value of 18F-FDG PET/CT in the differential diagnosis of nasopharyngeal carcinoma and nasopharyngeal lymphoma. Methods:A retrospective analysis including 100 patients (77 males, 23 females, age (51.0±12.4) years) with nasopharyngeal carcinoma and 107 patients(61 males, 46 females, age (52.3±18.2) years) with nasopharyngeal lymphoma after 18F-FDG PET/CT at Tianjin Medical University Cancer Institute and Hospital from October 2011 to December 2019 was performed. All patients were confirmed by pathology. Differences of clinical data, PET metabolic parameters and CT morphology between nasopharyngeal carcinoma group and nasopharyngeal lymphoma group were compared (independent-sample t test or Mann-Whitney U test). Multiple regression analysis and ROC curve analysis were used to evaluate the efficacy of the combined features in the differential diagnosis of nasopharyngeal carcinoma and nasopharyngeal lymphoma. Results:As for nasopharyngeal carcinoma group and nasopharyngeal lymphoma group, there were statistically significant differences in SUV max (10.86±3.99 vs 14.81±7.24; t=-4.90, P=0.001), peak of SUV (SUV peak; 7.84±3.13 vs 10.86±5.66; t=-4.79, P=0.001), and total lesion glycolysis (TLG; 39.00(19.98, 62.56) vs 56.75(33.02, 102.06) g; z=-3.24, P=0.001). However, the diagnostic efficiencies were low (AUCs: 0.657, 0.646, 0.636, respectively). Multiple regression model showed that SUV max combined with multiple morphological and clinical features (gender, lesion location, with or without involvement of surrounding structures, cervical lymph node metastasis, parapharyngeal involvement and spleen involvement) could improve the differential diagnosis efficiency significantly (AUC=0.900). Conclusion:18F-FDG PET/CT metabolic parameter SUV max combined with CT morphological and clinical features have high diagnostic efficiency in the differential diagnosis of nasopharyngeal malignant tumors.