Objective To investigate the perioperative safety of patients with myasthenia gravis who take high doses of oral glucocorticoids. Methods A retrospective analysis was conducted on the clinical data of patients with myasthenia gravis who received oral glucocorticoids and underwent thoracoscopic thymectomy at the Department of Thoracic Surgery, the University of Hong Kong-Shenzhen Hospital from April 2013 to October 2019. Patients were divided into a high-dose steroid group and a medium-to-low dose steroid group based on the dosage of oral steroids, and the clinical data of the two groups were compared. Results A total of 102 patients were included, including 19 (18.62%) males and 83 (81.37%) females, with an average age of (32.25±9.83) years. There were 75 patients in the medium-to-low dose steroid group and 27 patients in the high-dose steroid group. All patients in both groups successfully completed the surgery without major intraoperative bleeding, conversion to open chest surgery, delayed extubation, severe infection, or perioperative death. The daily oral steroid dose for the high-dose steroid group was (35.81±4.29) mg, and for the medium-to-low dose steroid group it was (15.29±2.17) mg. There was no statistical difference in the operation time [(124.69±23.51) min vs. (117.89±21.46) min, P=0.172] and intraoperative blood loss [(21.19±3.48) mL vs. (20.56±3.41) mL, P=0.419] between the two groups. Postoperatively, 12 (11.76%) patients developed complications: one patient of myasthenic crisis (the medium-to-low dose steroid group), which was improved after short-term respiratory support and intravenous immunoglobulin treatment; 11 patients of respiratory/swallowing difficulties (9 in the medium-to-low dose steroid group and 2 in the high-dose steroid group), which were improved after anticholinergic treatment to reduce oral secretions and sputum suction, and the patients were discharged smoothly. There was no statistical difference in the incidence of postoperative complications between the two groups (P=0.637). Conclusion On the basis of good perioperative management, it is safe and feasible for patients with myasthenia gravis who take high dose of oral steroids to undergo thymectomy, and they have the same perioperative safety as patients with medium-to-low dose steroids.

ObjectiveTo dynamically observe and evaluate the damage to the pulmonary air-blood barrier in mice during the inflammatory cancer transformation process of ulcerative colitis （UC） based on the "lung-intestine correlation" theory. MethodsSixty-five C57BL/6 mice were divided into a normal group （n=25） and a model group （n=40） using a random number table. Azoxymethane/dextran sodium sulfate （DSS） method was used to establish a mouse model of UC inflammation cancer transformation in the modeling group. According to the tissue collection time points at 5， 8， 11， 13， and 15 weeks， the normal group mice were randomly divided into the normal 5w， 8w， 11w， 13w， and 15w groups. The model group mice， 10 mice of which died after the first cycle of DSS administration， were randomly divided into model 5w， 8w， 11w， 13w， and 15w groups. During the experiment， the general condition of the mice was observed daily， and their body weight was measured weekly. At the corresponding tissue collection time points， the colon length of each group was measured. Histopathology of mouse lung and colon tissues was examined using HE staining. Immunofluorescence was used to detect changes in the positive expression of tight junction protein （ZO-1）， vascular endothelial cadherin （VE-cadherin）， and cytoskeletal protein （F-actin） in lung and colon tissues. RT-PCR was used to detect the mRNA expression of apoptosis regulatory proteins B-cell lymphoma-2 （Bcl-2）， BCL2-associated X protein （Bax）， and Cysteine aspartic acid protease-3 （Caspase-3） in lung tissues. Western Blot was employed to measure protein levels of ZO-1， VE-cadherin， and F-actin in lung tissues. ResultsCompared to the normal group at the same time point， the mice in the model group at each time point generally had poorer conditions， with weight loss and shortened colon length （P＜0.05 or P＜0.01）. In the model 5w group， there was significant inflammatory cell infiltration in the colon tissue； in the model 8w group， there was mild atypical hyperplasia； in the model 11w group， the crypt structure was disordered， and moderate to severe atypical hyperplasia occurred； in the model 13w and 15w groups， tumors appeared. Pulmonary interstitial lesions， inflammation， vasculitis， and fibrosis were observed at all stages of UC inflammation cancer transformation. The protein levels of ZO-1， VE-cadherin， and F-actin， as well as Bcl-2 mRNA expression in lung tissue decreased during the acute inflammatory recovery period， atypical hyperplasia period， and canceration period， while the expressions of Bax and Caspase-3 mRNA increased； the expressions of ZO-1， VE-cadherin， and F-actin proteins in colon tissue decreased during the acute inflammatory recovery period， atypical hyperplasia period， and canceration period （P＜0.01 or P＜0.05）. Compared to the model 5w group， the ZO-1 and F-actin protein levels and Bcl-2 mRNA expression in lung tissue in the other model groups increased in the atypical hyperplasia period and canceration period， while the expressions of Bax and Caspase-3 mRNA decreased； the expression of ZO-1 protein in colon tissue increased in the canceration period， and the expression of VE-cadherin protein decreased in the atypical hyperplasia period （P＜0.01 or P＜0.05）. ConclusionIn the process of "inflammatory response-atypical hyperplasia-carcinogenesis" in UC inflammatory cancer transformation mice， there were damage to air-blood barrier.

Objective: To compare the predictive performance of the seasonal autoregressive integrated moving average (SARIMA) model, the Prophet model, and the Bayesian structural time series (BSTS) model in forecasting the incidence of hand, foot, and mouth disease (HFMD) , so as to provide a basis for optimizing the early warning system of this disease. Methods: Weekly incidence data of HFMD in Longgang District, Shenzhen City from 2014 to 2024 were collected. The HFMD incidence data from 2014-2019 and 2023 were used as the training set to construct SARIMA, Prophet, and BSTS models, while the data from 2024 were used as the test set to compare and evaluate the predictive performance of the three models. The technique for order preference by similarity to ideal solution (TOPSIS) method was employed to calculate the C-value. This approach integrates multiple evaluation metrics, such as the mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE), and symmetric mean absolute percentage error (SMAPE), to comprehensively assess model performance. Results: A total of 150 111 cases of HFMD were reported in Longgang District from 2014 to 2024, with an average annual incidence of 400.72/105. The weekly incidence fluctuated between 0 and 63.78/105, exhibiting a bimodal seasonal pattern characterized by a primary peak from May to July and a secondary peak from September to October. In the training set, all three models demonstrated a good fit to the bimodal epidemic trend of HFMD, with the BSTS model achieving the best fit. The BSTS model yielded performance metrics as follows: MAE=0.124, MSE=0.050, RMSE=0.223, SMAPE=0.021, and a C-value of 1.000. In the test set, all three models, including SARIMA, Prophet, and BSTS, performed well for short-term predictions (≤16 weeks), with the Prophet model showing relatively superior predictive performance. However, the prediction accuracy of all models declined as the forecast horizon extended. During the primary peak period (May-July), the Prophet model exhibited better predictive performance, whereas the BSTS model performed relatively better during the secondary peak period (September-October). Conclusions For the short-term forecasting of weekly HFMD incidence, the Prophet model outperformed both the SARIMA and BSTS models. During the primary peak period, the Prophet model demonstrated superior predictive performance, whereas the BSTS model exhibited better accuracy in forecasting the secondary peak period.

ObjectiveTo verify the association between the Ddit3-Trib3-Akt signaling pathway and rat spermatogenesis by constructing an in vitro co-culture system of testis. MethodsTesticular tissue blocks from 20-25-day-old male rats were placed in an in vitro culture system， and the culture medium was replaced every 2 to 3 days. PCR was used to verify the expression of marker genes of various spermatogenic cells. RNA interference technology was employed to verify the correlation between the Ddit3-Trib3-Akt signaling pathway and rat spermatogenesis. ResultsThe co-culture system could be continuously cultured for more than 2.5 months in vitro. RT-PCR showed that specific marker genes of spermatogonia， spermatocyte and spermoblast were expressed. The RNA and protein expression of Trib3 and Akt changed after the knocking down of Ddit3 and Trib3， respectively. It demonstrated the existence of Ddit3-Trib3-Akt signaling pathway in rat spermatogenesis. ConclusionThe culture time of more than 2.5 months indicates that the culture system can temporarily maintain the proliferation and differentiation of stem cells， and simultaneously maintain and stabilize spermatogenesis in a simple system. The successful validation of the Ddit3-Trib3-Akt signaling pathway also confirms that this culture system can be used to study possible molecular mechanisms of spermatogenesis in vitro.

Background/Aims: Cholangiocarcinoma (CCA) is a primary malignant neoplasm with an extremely poor prognosis. While combined chemoradiotherapy has been demonstrated to delay CCA progression to a certain extent, the absence of specific molecular biomarkers or targets significantly hinders the diagnosis and treatment of CCA. Methods: Through cross-analysis of proteomics and ADMA modificationomics, we identified DDX1 overexpressed in CCA with elevated R602-ADMA modifications. HPLC-MS/MS identified PRMT1 as the methyltransferase and USP10 as the deubiquitinating enzyme for DDX1. Immunofluorescence and nuclear-cytoplasmic partitioning experiments confirmed DDX1’s nuclear localization. GO and KEGG analyses clarify the biological functions of DDX1 in response to hypoxia. RNA-seq transcriptomics analyzed key pathways influenced by DDX1. A hydrodynamic in situ CCA mouse model was established to validate the chemopreventive effects of the PRMT1-specific inhibitor GSK715 on CCA development. Results: DDX1 promotes CCA progression both in vivo and in vitro and can be inhibited by GSK715. Mechanistically, PRMT1 mediates ADMA modification at position R602 of DDX1. This modification promotes DDX1 nuclear localization by recruiting USP10 to deubiquitinate DDX1, while simultaneously inhibiting PRMT1 degradation. DDX1 promotes the transcription of PRMT1 and USP10 by binding to the mRNA 3’UTR region, establishing a positive feedback regulatory pathway. This mechanism promotes the occurrence and development of CCA and can serve as a target for the inhibitor GSK715 to suppress CCA progression. Conclusions Our study identified DDX1-R602-ADMA modification as a novel ADMA modification in CCA. It further confirmed its pivotal role in CCA progression. Targeting the USP10-PRMT1-DDX1 axis may represent a significant therapeutic approach for CCA.

AIM: To investigate the value of maximum standardized uptake value(SUVmax), extraocular muscle(EOM)diameter, and thyroid stimulating hormone receptor antibody(TRAb)in evaluating inflammatory activity in thyroid-associated ophthalmopathy(TAO).METHODS: TAO patients underwent orbital 99mTc-DTPA SPECT/CT imaging at the Affiliated Hospital of Panzhihua University between January 2023 and December 2024 were retrospectively enrolled. According to the clinical activity score(CAS), patients were classified into an active group and an inactive group. SUVmax and EOM were independently measured by three nuclear medicine physicians, and the mean values were used for analysis. Serum TRAb levels from TAO patients were measured using a fully automated electrochemiluminescence immunoassay analyzer. Nonparametric tests were used to compare differences between the two groups. Spearman correlation analysis was performed to assess the correlations of CAS with SUVmax, EOM, and TRAb. Using CAS as the reference standard, receiver operating characteristic(ROC)curves were plotted to evaluate the diagnostic performance of SUVmax, EOM, and TRAb, as well as their combination. Intraclass correlation coefficient(ICC)was used for reliability analysis to evaluate the consistency of SUVmax and EOM among the 3 measurers.RESULTS: A total of 99 patients(198 eyes)with TAO were enrolled in this study, including 38 males and 61 females, aged 16-74(46.92±11.84)y. The active group comprised 46 patients(92 eyes), aged 16-71(48.40±12.02)y, with 25 males and 21 females. The inactive group included 53 patients(106 eyes), aged 17-74(45.46±11.59)y, consisting of 13 males and 40 females. There were no statistically significant differences between the two groups in terms of gender and age(P>0.05). Statistically significant differences were observed in SUVmax, EOM, and TRAb. Compared with the inactive group, the active group showed higher SUVmax, EOM, and TRAb levels(all P<0.01). Correlation analysis showed that CAS was positively correlated with SUVmax, EOM, and TRAb(r=0.734, 0.622, and 0.404, respectively, all P<0.01). ROC curves were plotted using CAS as the reference standard, and the AUCs for SUVmax, EOM, TRAb, and their combined diagnosis were 0.874, 0.797, 0.715, and 0.892, respectively. The ICC of SUVmax and EOM were 0.925(95%CI: 0.901-0.948, P<0.001)and 0.943(95%CI: 0.907-0.964, P<0.001)respectively.CONCLUSION: Beyond CAS, there is a need to identify objective imaging and serological biomarkers. Measurements of SUVmax and EOM provide visualized and quantifiable tools for assessing TAO activity, and their combination with TRAb can further improve the accuracy of activity assessment.

Objective To develop a predictive model of acute hematologic toxicity (HT) based on preradiotherapy CT radiomic features combined with clinical and dosimetric characteristics for patients with cervical cancer undergoing definitive radiotherapy. Methods Data from 82 patients with cervical cancer who received definitive radiotherapy were retrospectively analyzed. The patients were divided into training and test sets at an 8:2 ratio, with grade ≥2 HT as the study endpoint. Clinical characteristics and dosimetric parameters of pelvic regions were collected, and 1 046 radiomic features were extracted from the overall pelvic structure using PyRadiomics. Radiomic features were processed using Z-score normalization, Spearman correlation analysis (>0.9), and LASSO regression for feature selection. A radiomics model was constructed using K-nearest neighbor machine learning with fivefold cross-validation. For 56 clinical and dosimetric features, independent predictors were identified through univariate and multivariate analyses to establish a clinical-dose model. A hybrid model was further constructed by combining the two sets of features. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), decision curve analysis, and calibration curves. Results Forty patients (48.8%) developed grade ≥2 HT. Univariate and multivariate analyses showed that V20 of the lumbosacral spine was significantly associated with grade ≥2 HT (P<0.05). The AUC values for the radiomics, clinical-dose, and hybrid models were 0.802, 0.750, and 0.861 in the training set, respectively, and 0.703, 0.633, and 0.781 in the test set, respectively. Conclusion Preradiotherapy CT radiomic features combined with dosimetric characteristics can predict the occurrence of acute hematologic toxicity in patients with cervical cancer, potentially facilitating early clinical intervention.

Background Ambient air pollution is a major environmental risk factor for cardiovascular disease (CVD). However, epidemiological evidence regarding the modifying effect of a healthy lifestyle on the association between air pollution and CVD remains inconsistent. Objective To investigate the modifying effect of a healthy lifestyle on the association between exposure to air pollutants and CVD risk, to provide evidence for targeted prevention strategies. Methods Databases including PubMed, Web of Science, Embase, the Cochrane Library, CNKI, and Wanfang were systematically searched for epidemiological studies published from January 2011 to August 2025. The quality of included studies was assessed, and relevant data were extracted. A meta-analysis was performed to examine the association between air pollutant exposure and CVD outcomes, as well as the modifying effect of a healthy lifestyle. Results A total of 24 studies were included. The meta-analysis demonstrated that each 10 μg·m⁻³ increase in the concentration of ultrafine particulate matter (PM₁), fine particulate matter (PM_2.5), inhalable particulate matter (PM₁₀), nitrogen dioxide (NO₂), sulfur dioxide (SO₂), and ozone (O₃) was associated with pooled relative risks (RRs) for CVD morbidity of 1.176 (95%CI: 1.007, 1.373), 1.167 (95%CI: 1.035, 1.315), 1.030 (95%CI: 1.012, 1.048), 1.093 (95%CI: 1.039, 1.150), 1.014 (95%CI: 0.996, 1.032), and 1.216 (95%CI: 0.901, 1.641), respectively; each 10 mg·m⁻³ increase in the concentration of carbon monoxide (CO) was associated with a pooled RR for CVD morbidity of 1.005 (95%CI: 1.005, 1.006). For CVD mortality, each 10 μg·m⁻³ increase in PM_2.5, PM₁₀, and NO₂ yielded pooled RRs of 1.188 (95%CI: 1.032, 1.367), 1.137 (95%CI: 0.953, 1.357), and 1.038 (95%CI: 1.011, 1.066), respectively; for SO₂ and O₃, where only a single study was available, RRs were 1.068 (95%CI: 1.030, 1.108) and 1.010 (95%CI: 0.996, 1.024) per 10 μg·m⁻³ increase, respectively; for CO, where also only a single study was available, the RR was 1.002 (95%CI: 1.001, 1.003) per 10 mg·m⁻³ increase. Adherence to a healthy lifestyle significantly modified the PM_2.5-associated CVD risk. Specifically, compared to healthy behaviors, unhealthy factors including smoking, low-quality diet, and physical inactivity exacerbated this risk, with relative effect sizes (RES; ratio of hazard ratios of the unhealthy group to the healthy group) of 1.016 (95%CI: 1.013, 1.020), 1.008 (95%CI: 1.003, 1.013), and 1.058 (95%CI: 1.055, 1.062), respectively. Furthermore, a combined healthy lifestyle demonstrated a superior modifying effect compared to any single lifestyle factor, which significantly attenuated the PM_2.5-associated CVD risk (P for interaction < 0.05). Conclusion Long-term exposure to ambient PM_2.5 significantly increases CVD risk. However, adherence to a combined healthy lifestyle can effectively mitigate these adverse effects, offering substantially greater cardiovascular protection than maintaining any single healthy habit.

Acute lung injury （ALI） is one of the most common and critical diseases in clinical practice， with extremely high morbidity and mortality， seriously threatening human life and health. The pathogenesis of ALI is complex， in which the inflammatory response is a key factor. Studies have shown that NOD-like receptor protein 3 （NLRP3） inflammasomes are involved in ALI through mechanisms such as inflammation induction， increased microvascular permeability， recruitment of neutrophils， oxidative stress， and pyroptosis， playing a key role in the occurrence and progression of ALI. Therefore， regulating NLRP3 inflammasomes and inhibiting the release of inflammatory factors can alleviate the damage in ALI. At present， ALI is mainly treated by mechanical ventilation and oxygen therapy， which have problems such as high costs and poor prognosis. In recent years， studies have shown that traditional Chinese medicine （TCM） can reduce the inflammatory response and the occurrence of oxidative stress and pyroptosis by regulating the NLRP3 inflammasome， thus alleviating the damage and decreasing the mortality of ALI. Based on the relevant literature in recent years， this article reviews the research progress in TCM treatment of ALI by regulating NLRP3 inflammasomes， discusses how NLRP3 inflammasomes participate in ALI， and summarizes the active ingredients， extracts， and compound prescriptions of TCM that regulate NLRP3 inflammasomes， aiming to provide new ideas for the clinical treatment of ALI and the development of relevant drugs.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.