Objective To investigate the potential mechanism of nicotinamide combined with amphotericin B against Candida albicans based on metabolomics. Methods The intracellular metabolites of C. albicans intervened by different drugs including NAM, AmB, and their combination with a proper concentration were analyzed by gas chromatography-mass spectrometry. The differential metabolites were screened by multivariate statistical analysis and identified by searching the NIST database. Results Compared with the control group, the NAM intervention group was hardly separated from it, while the AmB group and NAM+AmB group showed a clear trend of separation. Under the intervention of AmB, 23 metabolites significantly changed compared with the control group, and 28 metabolites remarkably changed after NAM+AmB intervention, including amino acids, organic acids, sugars and other components. Conclusion NAM, as an endogenous metabolite of C. albicans, combined with AmB could enhance the effects of AmB in the original metabolic pathway and changed it to a certain extent. It was speculated that AmB combined with NAM may pose more antifungal effect on Candida albicans by regulating the tricarboxylic acid cycle，interfering with amino acid metabolism and influencing polyamine synthesis.

ObjectiveTo analyze the epidemiological and etiological characteristics of hand-foot-and-mouth disease (HFMD) in Jinjiang District of Chengdu City from 2014 to 2024, and to provide a reference basis for HFMD prevention and control. MethodsA retrospective study was conducted to collect confirmed and clinically diagnosed cases of HFMD in Jinjiang District from January 1, 2014 to December 31, 2024. Descriptive epidemiological methods were used to analyze the distribution of cases by person, time, and place. Joinpoint regression models were applied to examine trends for incidence and severe case rates, while seasonal patterns were analyzed using the seasonal index method. Chi-square tests were used for comparing rates, Mann-Whitney U tests were applied for comparing two groups with skewed distributions, and Kruskal-Wallis H rank-sum tests were used for multiple groups with skewed distributions. Pathogen characteristics were primarily analyzed using descriptive statistics. ResultsA total of 15 561 HFMD cases were reported from 2014 to 2024. The annual crude incidence rate ranged from 51.32/100 000 to 502.50/100 000, the age-standardized incidence rate ranged from 55.56/100 000 to 721.07/100 000, peaking in 2018, and the overall epidemic intensity generally showed an alternating-year pattern of intensification. A total of 85 severe cases were reported, showing a declining trend in the severe case rate (APC=AAPC=-37.57%, 95%CI∶ -51.49%‒21.33%， P<0.01). Severe cases were most common in the 1‑year‑old age group (43.53%), with a median age of 1.88 years. Recurrent infections accounted for 1 245 cases (8.00%), with 96.73% of these being reinfections. The median age at first infection for recurrent cases was 1.98 years, significantly lower than that of single-infection cases (2.69 years, P<0.001), and the median interval between consecutive infections was 1.19 years. The disease exhibited a bimodal seasonal pattern, with epidemic peaks occurring from May to July and from October to December, however, summer peaks extending into autumn were observed in 2018 and 2023. There were statistically significant differences in age distribution across different years (H=467.51, P<0.001), with the median age increasing from 2.25 years in 2018 to 4.18 years in 2024, and the interquartile range widening from 1.84 to 3.78 years. Since its initial detection in 2017, CVA6 has been identified annually, showing a peak proportion of 87.50% in 2023 and a second peak of 68.18% in 2018. CVA10 was detected during 2021‒2023, peaking at 18.75% in 2021 and decreasing to 14.29% in 2022. Male incidence rates were consistently higher than female rates each year (P<0.05). The proportion of males in the reinfection group was significantly higher than that in the single-infection group (χ²=9.951, P=0.002). Pathogen analyses showed that CVA16 was detected annually, EV71 detection declined fluctuantly and was not detected after 2022. CVA6 was first detected in 2017 and rapidly increased in prevalence, reaching 87.50% in 2023 and becoming the dominant strain. Among severe cases, EV71 accounted for the highest proportion (52.63%), while CVA16 was most common in non-severe cases (41.60%). There was a statistically significant difference in pathogen composition between severe and non-severe cases (χ²=10.402,P=0.011). ConclusionThe epidemiological profile of HFMD undergoes continuous changes over time. It is necessary to strengthen routine surveillance, with particular attention to changes in the pathogen spectrum and age distribution, so as to provide evidence for precise prevention and control measures and the adjustment of vaccination strategies.

With the increase in the obese population and the aging of the society,the incidence rates of type 2 diabetes mellitus(T2DM)and obstructive sleep apnea(OSA)continue to increase,and more than half of the patients with T2DM also suffer from OSA.T2DM patients with OSA have a higher risk of developing macrovascular and microvascular complications,which severely impairs their quality of life,and early identification of T2DM patients with OSA can improve their prognosis.This article summarizes the latest re-search advances in the pathogenesis,biomarkers,and treatment measures of T2DM with OSA,in order to provide insights for the screening,diagnosis,and treatment of T2DM with OSA.

Objective:This study sought to examine the clinicopathological features of monomorphic epitheliotropic intestinal T-cell lymphoma (MEITL) and to discuss its differential diagnosis.Methods:A total of 36 MEITL cases, collected between June 2015 and January 2024 from the Fourth Affiliated Hospital of Soochow University and the First Affiliated Hospital, College of Medicine, Zhejiang University, were analyzed. Patients underwent immunohistochemistry, in situ hybridization for Epstein-Barr virus-encoded small RNA (EBER), and T-cell receptor (TCR) gene rearrangement testing. Clinical data, laboratory results, and follow-up information were collected for correlation analysis.Results:The cohort included 36 patients (20 males and 16 females) aged 17-76 years (median: 57 years). Tumors outside the intestine were observed in 22 cases (61%). A total of 32 patients (89%) underwent surgical intervention and/or chemotherapy, and one patient received auto-HSCT. The median follow-up duration was 11.5 months (range: 8-73 months), with a median overall survival of 6 months (range: 1-67 months) ; 34 patients died during the follow-up period. Morphologically, nine cases (25%) exhibited significant pleomorphism. Immunohistochemical analysis revealed that high expression levels of both P53 and c-Myc were correlated with atypical morphology ( P=0.003 and P=0.016, respectively). Notably, patients with high P53 expression had significantly shorter survival times than those with low P53 expression ( χ2=4.922, P=0.027), whereas survival did not differ significantly based on c-Myc expression levels ( χ2=0.034, P=0.854). Furthermore, a PD-L1 CPS score ≥10 was observed in 22 cases (68.8%). Scattered EBER positivity in background cells was identified in four cases. All tested cases (17/17, 100.0%) showed clonal TCR gene rearrangements. Conclusions:MEITL is a rare but highly aggressive lymphoma with distinct clinical and pathological features. A subset of cases may exhibit atypical morphological patterns, complicating the diagnostic process. Improving awareness of this neoplasm is helpful for early and precise diagnosis as well as the estabolishment of novel therapy regimen.

Objective To explore the efficacy and underlying mechanism of Astragalus in the treatment of viral pancreatitis using network pharmacology,with confirmation of its efficacy and mechanism in cell experiments.Methods Astragalus and viral pancreatitis targets obtained from the Traditional Chinese Medicine Systems Pharmacology(TCMSP)and GeneCards databases were combined to obtain intersection targets.GO functional enrichment and KEGG signaling pathway enrichment analyses of therapeutic targets were conducted using the Database for Annotation,Visualization,and Integrated Discovery(DAVID)database.The interactions between therapeutic targets were analyzed using the STRING database and Cytoscape 3.10.2,and the core therapeutic targets were screened.Molecular docking between the most effective therapeutic components and the core targets was performed using PyMOL 3.0 and AutoDock Tools 1.5.7.CVB3 was used to construct a viral pancreatitis cell model for verification of the core targets.Results Seventy-eight therapeutic targets were identified.Enrichment analyses revealed the possible involvement of pathways related to cancer,lipids and atherosclerosis,and PI3K-AKT signaling.AKT1,TP53,HIF1A,CASP3,IL-6,and MMP9 were identified as possible core targets.The result of cell experiments showed that the expression level of AMY was significantly increased in the model group(P＜0.05).The Astragalus injection group exhibited significantly decreased expression levels of AMY,AKT1,TP53,HIF1A,CASP3,IL-6,and MMP9 compared with the model group(P＜0.05).Conclusions Astragalus injection effectively treated viral pancreatitis,and its therapeutic mechanism may involve reduced expression levels of AKT1,TP53,HIF1A,CASP3,IL-6,and MMP9.

Objective To explore the efficacy and underlying mechanism of Astragalus in the treatment of viral pancreatitis using network pharmacology,with confirmation of its efficacy and mechanism in cell experiments.Methods Astragalus and viral pancreatitis targets obtained from the Traditional Chinese Medicine Systems Pharmacology(TCMSP)and GeneCards databases were combined to obtain intersection targets.GO functional enrichment and KEGG signaling pathway enrichment analyses of therapeutic targets were conducted using the Database for Annotation,Visualization,and Integrated Discovery(DAVID)database.The interactions between therapeutic targets were analyzed using the STRING database and Cytoscape 3.10.2,and the core therapeutic targets were screened.Molecular docking between the most effective therapeutic components and the core targets was performed using PyMOL 3.0 and AutoDock Tools 1.5.7.CVB3 was used to construct a viral pancreatitis cell model for verification of the core targets.Results Seventy-eight therapeutic targets were identified.Enrichment analyses revealed the possible involvement of pathways related to cancer,lipids and atherosclerosis,and PI3K-AKT signaling.AKT1,TP53,HIF1A,CASP3,IL-6,and MMP9 were identified as possible core targets.The result of cell experiments showed that the expression level of AMY was significantly increased in the model group(P＜0.05).The Astragalus injection group exhibited significantly decreased expression levels of AMY,AKT1,TP53,HIF1A,CASP3,IL-6,and MMP9 compared with the model group(P＜0.05).Conclusions Astragalus injection effectively treated viral pancreatitis,and its therapeutic mechanism may involve reduced expression levels of AKT1,TP53,HIF1A,CASP3,IL-6,and MMP9.

Objective:To investigate the feasibility and optimal expansion width of replacing the left anterior descending coronary artery (LADCA) with the region of heart sparing (RHS) to reduce cardiac radiation dose during breast cancer radiotherapy.Methods:Retrospective analysis was conducted on data from 88 patients with left-sided breast cancer who underwent radiotherapy at 2 centers: Nanfang Hospital of Southern Medical University (50 cases for the training set, 15 cases for the internal test set) and Ganzhou Hospital of Nanfang Hospital (23 cases for the external test set) from March 2022 to January 2024. All patients had left-sided invasive ductal carcinoma with axillary lymph node metastasis, and had undergone modified radical mastectomy and chemotherapy. Based on simulation CT images, 2 radiation oncologists delineated the LADCA and 8 RHSs. The RHSs were delineated by expanding the LADCA contour by 0.5 cm increments, totaling 8 expansions. The RHS widths were defined as 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, and 4.0 cm. The nnU-Net model was trained for 3D automatic segmentation of the LADCA and RHSs. Model performance was evaluated using the Dice similarity coefficient (DSC), relative volume error (RVE), sensitivity, specificity, and 95% Hausdorff distance (HD95). Additionally, the minimum, maximum, and average relative dose variations (RDV) as well as V5% and V20% indicators were calculated for the LADCA and each RHS. Correlation analysis was performed using the least squares regression, with the slope and coefficient of determination ( R2) employed to evaluate the accuracy of the model fitting, the relationship between the LADCA and RHS, and the degree of their correlation, thereby assessing the substitutive effect of the RHS for the LADCA. Results:The DSC for the LADCA was 0.415, while the DSCs for RHS widths of 0.5 cm and 4.0 cm were 0.718 and 0.835, respectively. Overall, the automatic segmentation performance improved with increasing RHS width. The DSC, RVE, sensitivity, specificity, and HD95 for the external test set were largely consistent with those of the internal test set, demonstrating the model's good robustness across different datasets. All RDVmin values were negative, while RDVmax and RDVmean showed a positive correlation with RHS width. RDVmean increased from 39.01% to 75.89% as the RHS width increased. In the correlation analysis, the slopes for RHS widths of 1.5 cm and 2.0 cm were 0.95 and 1.05, respectively, with R2 values and coefficients of variation of 0.79 and 0.73, and 21.11% and 24.03%, respectively. Conclusions:The automatic segmentation model trained on nnU-Net can accurately segment RHSs. Based on geometric and dosimetric indicators, a 1.5 cm-wide RHS is the most suitable substitute for the LADCA, effectively limiting the radiation dose to the LADCA without compromising target dose coverage.

Objective:To propose a semi-supervised learning method for dynamic generation of organ geometric contours, leveraging bladder volume variations and its relative position to the uterus to accurately generate uterine contours in cervical cancer radiotherapy.Methods:A total of 120 sets of pelvic planning CT images (including both full and empty bladder scans) from 60 patients with cervical cancer treated at the Department of Radiation Oncology, Nanfang Hospital of Southern Medical University between January and December 2023 were retrospectively collected. A conditional generative adversarial network (CGAN) based on a squeeze-and-excitation channel attention mechanism was proposed to accurately generate uterine geometric contours under varying bladder filling states. By emphasizing the critical spatial relationships between the bladder and uterus, the model learned the relative anatomical positions of pelvic organs and their motion correlations. The generative performance was quantitatively evaluated using the average Dice similarity coefficient (DSC), intersection over union (IoU), and the 95 th percentile Hausdorff distance (HD95), and was compared with GAN model, CGAN model, and Pix2Pix model. Pairwise comparisons were perfomed by paired-sample t-test. Results:The proposed SE-CGAN model achieved the best performance on the test set, with DSC of 0.83±0.09, IoU of 0.71±0.05, HD95 of (6.74±1.23) mm, improving DSC by 7.5%, 4.9%, and 3.6% compared to the GAN, CGAN, and Pix2Pix models, respectively (all P<0.001), and reducing the mean HD95 by 32.9%-45.3%. Statistical analysis revealed significant differences between SE-CGAN model and the other 3 baseline models, whereas no significant difference was observed between CGAN model and Pix2Pix model. The visualization results further demonstrated that the GAN model produced uterine contours deviated greatly from the real shape, and the edge was fuzzy; CGAN and Pix2Pix model achieved better overlap but lacked of precision in boundary reconstruction. In contrast, the contours generated by SE-CGAN model closely matched the ground truth with clearly defined edges, indicating superior reconstruction accuracy. Conclusions:In this study, we propose a generative adversarial network method that establishes a dynamic modulation mechanism by which the bladder state influences the uterine geometric contour, enabling accurate generation of the uterine contours from the bladder contours of any given localization CT scan. This approach effectively addresses the uncertainty in radiotherapy target delineation caused by pelvic organ motion.

Objective To establish an animal model of hand,foot,and mouth disease(HFMD)in Syrian hamsters coinfected with coxsackievirus A6(CVA6)and coxsackievirus B1(CVB1).Methods 42 Syrian hamsters were divided into a CVA6 infection group,CVB1 infection group,CVA6 and CVB1 coinfection group and control group.A HFMD model was established by nasal instillation of virus solution and phosphate-buffered saline.Clinical and physiological indicators and detoxification status were monitored and recorded for 15 d,and animals were selected on day 7(D7)after infection for histopathology and viral antigen and nucleic acid testing.Results Hamsters in the single-infection and coinfection groups showed clinical symptoms similar to human HFMD.White blood cell,neutrophil,and lymphocyte result were characteristic of viral infection.Both viral nucleic acids were detected in throat swabs,feces,blood,and tissues and both viruses were isolated from fecal samples.Pathological damage and positive co-localization of CVA6 and CVB1 viral antigen proteins and nucleic acids were found in brain and other tissues.Conclusions Nasal instillation of a CVA6 and CVB1 mixture can successfully coinfect Syrian hamsters,replicate herpes infection similar to human HFMD,and cause pathological viral myocarditis and encephalitis damage.The result showed that the coinfection group was more seriously affected than the single-infection group,with worse clinical symptoms,increased viral replication,and obvious tissue pathological damage.This study provides a reference for further basic and clinical research into human enterovirus coinfection.

Objective To establish an animal model of hand,foot,and mouth disease(HFMD)in Syrian hamsters coinfected with coxsackievirus A6(CVA6)and coxsackievirus B1(CVB1).Methods 42 Syrian hamsters were divided into a CVA6 infection group,CVB1 infection group,CVA6 and CVB1 coinfection group and control group.A HFMD model was established by nasal instillation of virus solution and phosphate-buffered saline.Clinical and physiological indicators and detoxification status were monitored and recorded for 15 d,and animals were selected on day 7(D7)after infection for histopathology and viral antigen and nucleic acid testing.Results Hamsters in the single-infection and coinfection groups showed clinical symptoms similar to human HFMD.White blood cell,neutrophil,and lymphocyte result were characteristic of viral infection.Both viral nucleic acids were detected in throat swabs,feces,blood,and tissues and both viruses were isolated from fecal samples.Pathological damage and positive co-localization of CVA6 and CVB1 viral antigen proteins and nucleic acids were found in brain and other tissues.Conclusions Nasal instillation of a CVA6 and CVB1 mixture can successfully coinfect Syrian hamsters,replicate herpes infection similar to human HFMD,and cause pathological viral myocarditis and encephalitis damage.The result showed that the coinfection group was more seriously affected than the single-infection group,with worse clinical symptoms,increased viral replication,and obvious tissue pathological damage.This study provides a reference for further basic and clinical research into human enterovirus coinfection.