Objective: This prospective study evaluated the feasibility of chemical exchange saturation transfer (CEST) MRI for assessing disease activity in thyroid-associated ophthalmopathy (TAO). Materials and Methods: A total of 88 patients with active TAO, 76 with inactive TAO, and 30 healthy controls were enrolled. CEST MRI-derived magnetization transfer ratio (MTR) and MTR asymmetry (MTRasym) at 1 ppm, 2 ppm, and 3.5 ppm were calculated. Clinical data, MTR, and MTRasym values for the extraocular muscles (one representative muscle per eye, yielding two measurements per participant) were compared among the groups. Spearman’s correlation was used to examine associations between imaging parameters and the clinical activity score (CAS) in patients with TAO. Logistic regression analysis was used to identify independent associations between imaging parameters and disease activity in patients with TAO (active vs. inactive). Receiver operating characteristic (ROC) analysis was conducted to evaluate the diagnostic performance for discriminating active from inactive TAO. Results: Patients with active TAO showed lower MTR values (P < 0.001) and higher MTRasym (1 ppm), MTRasym (2 ppm), and MTRasym (3.5 ppm) (all P < 0.001) compared with those with inactive TAO. MTR was negatively correlated with CAS (r = -0.402; P < 0.001), while MTRasym (1 ppm), MTRasym (2 ppm), and MTRasym (3.5 ppm) were positively correlated with CAS (r = 0.369, 0.350, and 0.349, respectively;all P < 0.001). MTR and MTRasym (1 ppm) were independently associated with TAO activity. The areas under the ROC curve (AUCs) for MTR and MTRasym (1 ppm) in discriminating active from inactive TAO were 0.772 and 0.730, respectively. Combining MTR with MTRasym (1 ppm) significantly improved diagnostic performance compared with either parameter alone, achieving an AUC of 0.805 (P = 0.029 and 0.001). Conclusion MTR and MTRasym (1 ppm) were independently associated with TAO activity. Their combination further enhanced diagnostic performance in distinguishing active from inactive TAO, suggesting their potential as quantitative imaging biomarkers to guide treatment in patients with TAO.

Background: While observational studies have suggested a potential link between metabolic syndrome (MetS) and an increased risk of colon polyps, the causal nature of this association remains uncertain. This study used a two-sample Mendelian randomization (MR) approach to evaluate the relationship between MetS and colon polyps. Methods: A two-sample MR analysis was performed using data on MetS, its indicators, and colon polyps obtained from publicly available genome-wide association studies in the Integrative Epidemiology Unit (IEU) and MAGIC databases. Outliers were removed using Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO), followed by MR calculations and false discovery rate (FDR) correction. The primary analysis was conducted with the inverse variance-weighted (IVW) method. Results: The IVW results indicated no association between hypertension, hyperlipidemia, or diabetes and the risk of colon polyps. High-density lipoprotein cholesterol (HDL-C) (P=0.005), 2-hour glucose (P=0.004), glycated hemoglobin A1c (P=0.004), and the ratio of omega-6 to omega-3 fatty acids (P<0.001) were negatively associated with colon polyps. Conversely, body mass index (BMI) (P<0.001), body fat percentage (P=0.002), waist-to-hip ratio adjusted for BMI (P=0.001), total cholesterol (TC) (P=0.002), triglycerides (TG) (P<0.001), and both omega-3 (P<0.001) and omega-6 fatty acid levels (P=0.02) were positively associated with colon polyps. The relationships between these metabolic indicators and colon polyps remained significant after FDR correction. Conclusion Obesity-related traits, TC, and TG may increase the risk of colon polyps, while HDL-C may have a protective effect.

Implementation science aims to facilitate the efficient dissemination and sustainable application of evidence based interventions, and has accordingly generated a variety of theories, models, and frameworks. Among these, the Exploration, Preparation, Implementation, and Sustainment (EPIS) frameworkfunctions both as a process model and a determinant framework, emphasizing the staged and iterative nature of implementation, and systematically explaining the influence of multilevel factors on implementation processes and outcomes through four dimensions: outer context, inner context, bridging factors, and innovation factors. The EPIS framework has been widely applied in health and public service settings internationally, yet its use in China based research remains relatively limited. This article systematically introduces the core components and application methods of the EPIS framework, and illustrates its value in identifying key influencing factors, developing implementation strategies, and optimizing implementation outcomes through case examples from the health sector, aiming to provide a methodological reference for implementation research and the promotion of evidence based interventions in China.

ObjectiveTo investigate the time-dependent pattern of blue light-induced retinal damage in mice, establish a suitable animal model, and evaluate the protective effects of a compound formula containing lutein esters, DHA algal oil, Lycium ruthenicum, and other ingredients used as both food and medicine. MethodsThirty-two of the 56 SPF-grade male C57BL/6J mice were randomly divided into a control group and model groups (1 h, 3 h, and 6 h irradiation) (n=8 per group) to determine the optimal blue light irradiation time. First, mice were exposed to blue light from a 467 nm light-emitting diode at (5 000±200) lx for 1 h, 3 h, and 6 h, respectively. Retinal histopathology and thickness were examined using hematoxylin‑eosin (HE) staining. Serum malondialdehyde (MDA) and glutathione (GSH) levels were measured using assay kits. Retinal inflammatory cytokine mRNA expression was assessed by real-time fluorescent quantitative reverse transcription PCR. After 3 h of blue light exposure was confirmed as the appropriate modeling condition, the remaining 24 mice were used in an intervention experiment to evaluate the protective effect of the eye-protective compound formula on blue light-induced retinal damage. The mice were administered the compound formula (1 000 mg·kg^-1·d^-1) by gavage for 14 days, followed by 3 h of blue light irradiation, and the same indicators were evaluated as described above. ResultsWith prolonged irradiation time, the thickness of each retinal layer gradually decreased (P<0.05 to P<0.01) and cell arrangement became disordered. Serum MDA levels progressively increased (P<0.01), while GSH levels gradually decreased (P<0.01). The mRNA expression of interleukin-1β (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α) in retinal tissue was significantly upregulated with increasing irradiation time. The 1 h irradiation group showed only minor changes (P>0.05), whereas the 6 h irradiation group exhibited the most pronounced changes (P<0.000 1). Therefore, 3 h of blue light irradiation (P<0.001), which showed significant yet moderate differences in all indicators, was selected as the subsequent modeling condition. After intervention with the eye-protective compound formula, compared with the model group, serum MDA level was significantly reduced (P<0.01), and serum GSH level was significantly increased (P<0.05). The expression levels of retinal inflammatory cytokines IL-1β (P<0.000 1), IL-6 (P<0.001), and TNF-α (P<0.01) were significantly downregulated. Total retinal thickness (P<0.01), as well as the thicknesses of the inner plexiform layer (P<0.05), inner nuclear layer (P<0.05), outer plexiform layer (P<0.05), and outer nuclear layer (P<0.01), were significantly increased compared with the model group. Histopathological examination also showed that the regularity and density of retinal cell arrangement were markedly better than those in the model group. ConclusionBlue light irradiation at a specific illuminance for 3 h can establish a stable mouse model of retinal damage. The compound formula alleviates retinal damage through antioxidant and anti-inflammatory pathways, providing an experimental basis for the development of related functional foods.

Objective:To investigate the efficacy of preoperative ultrasound-guided injection of carbon nanoparticle suspension in cervical lymph node dissection for thyroid cancer reoperation.Methods:Ninety-four patients undergoing reoperation for thyroid cancer admitted by the same physician team of the Department of Thyroid and Breast Surgery of the Ninety-sixty Hospital of the People’s Liberation Army (PLA) from Jan. 2019 to Sep. 2024 were retrospectively analyzed. According to the different scope of the initial surgery, they were divided into the re-specification clearance group, the regional lymph node clearance group, and the metastatic lymph node dissection group, and the groups were subdivided into the carbon nanoparticle group and the control group according to whether they were injected with carbon nanoparticle before the surgery or not. The t-test, χ2-test, and non-parametric test were used to compare the age, gender, surgical method, duration of surgery, total number of lymph nodes detected, and positive lymph node detection rate between the nano-charcoal group and the control group in the three groups. Results:There was no statistically significant difference between the three groups in terms of age, gender, surgical methods, or the total number of lymph nodes detected (all P>0.05) , and the difference between the surgical time of the carbon nanoparticle group in the re-regulation clearance group and the control group was not statistically significant ( P>0.05) ; the surgical time of the carbon nanoparticle group was shorter than that of the control group in both the regional lymph node clearance and the metastatic lymph node dissection groups, and the difference was statistically significant (all P<0.05) ; the positive detection rate of lymph nodes in the carbon nanoparticle group was higher than that in the control group among the three groups, and the difference was statistically significant (all P<0.05) . Conclusion:In the operation of cervical lymph node dissection for papillary thyroid cancer, preoperative ultrasound-guided injection of carbon nanoparticle can accurately localize the lymph nodes, increase the positive detection rate of lymph nodes, reduce the difficulty of surgical operation, and shorten the operation time.

Objective:To investigate the application of transoral robotic thyroidectomy (TORT) in overweight patients.Methods:Clinical data of 109 thyroid tumor patients who underwent TORT at 960th Hospital of People’s Liberation Army from May. 2020 to Aug. 2023 were retrospectively collected and analyzed. After excluding 10 patients who underwent prophylactic lateral neck dissection, a total of 99 patients were included in this study. According to the World Health Organization (WHO) guidelines, which define people with BMI:25-29.9 kg/m 2 as overweight, we divided the 99 patients into normal weight group (n=69) and overweight group (n=30) . To make the baseline data consistent between the two groups and ensure comparability, 20 matched pairs were generated using a 1∶1 propensity score matching (PSM) method, considering four clinicopathologic factors: age, gender, diameter of tumor and operation scope. In the normal-weight group, there were 18 females and 2 males, aged (32.82±9.51) years (range: 17-53 years) , and there exhibited 18 females and 2 males in the overweight group, aged (35.14±10.63) years (range: 18-55 years) . Results:All patients successfully underwent the operation without conversions to open surgery. After matching, both groups had 2 cases of thyroid adenoma and 18 cases of papillary thyroid carcinoma ( P=1) , with no statistically significant difference in the surgical scope between the two groups ( P=0.376) . There was no statistically significant difference in the mean tumor diameter between the normal-weight group and the overweight group (5.38±1.79 mm vs. 5.61±3.32 mm, P=0.575) . All malignant tumor cases in both groups were classified as T1 stage, and there was no statistically significant difference in N stage ( P=0.186) . All patients with malignant tumors underwent central lymph node dissection, there was no significant difference in the number of central lymph nodes dissected ( P=0.623) and metastatic lymph nodes ( P=0.109) between the two groups. There were no statistically significant differences in operative duration (217.53±62.83 min vs. 220.67±73.73 min, P=0.808) , median postoperative hospital stay [6 (6,7.75) days vs. 6 (6,7) days, P=0.682], or 24-hour drainage volume (78.52±30.49 mL vs. 68.23±29.11 mL, P=0.180) between the normal-weight group and the overweight group. There was no permanent hypoparathyroidism, postoperative hemorrhage, lymphatic fistula, mental nerve injury, postoperative infection in both groups. In both groups, there occurred one case of transient hypoparathyroidism. As for other complications, 1 case of temporary recurrent laryngeal nerve injury and oral tearing occurred in the overweight group, while the normal-weight group had 1 case of skin scald. Conclusions:Among patients who underwent TORT, the overweight group exhibited comparable surgical outcomes and postoperative complications to those in the normal-weight group. TORT is a safe and feasible surgical option for overweight patients, which provides more surgical options for this patient population.

Objective:To summarise the main points of operation during thyroid surgery using bilateral axillo-breast approach (BABA) with a domestic robot and to analyse the learning curve.Methods:From May. 2023 to Oct. 2023, we retrospectively analysed the clinical data of 38 patients who underwent thyroid surgery with domestically manufactured robot via BABA attending the Department of Thyroid and Breast Surgery of the 960th Hospital of PLA Joint Logistics Support Force, proposed and constructed learning curves using cumulative and analytical methods to study the minimum number of learning cases required for the loading time of assistants and surgeon-in-charge with da Vinci surgical experience to transition from the initial learning stage to the proficiency stage. The age, BMI, surgical time (loading time, operating time), postoperative drainage time, and number of lymph nodes dissected were compared among patients at different stages of the learning curve.Results:A total of 38 thyroidectomy patients successfully underwent surgery, with an average surgical time of (176.61 ± 47.98) minutes. After 18 cases, the assistant's loading time shortened and stabilized at (42.20 ± 3.44) minutes. The operator reached peak proficiency at the 18th case (loading time, operating time), which was considered the dividing point between the learning phase and the proficiency phase. During the learning phase, the average surgical time was (209.72 ± 49.28) minutes, operation time: (165.44 ± 49.93) minutes, while in the proficiency phase, the average surgical time decreased to 146.80 ± 18.34 minutes, operation time: (104.60 ± 19.01) minutes. There were no statistically significant differences in baseline characteristics such as age, BMI, postoperative drainage time, or the number of central compartment lymph nodes dissected between the two phases ( P > 0.05) . Conclusion:Over the results of this study, it was shown that for robosurgeons with experience in da Vinci robotic surgery, the transition from the learning stage to the proficiency stage could be considered after crossing the learning curve for 18 cases, and that assistants could become proficient in loading techniques after 18 procedures.

Objective To develop a postoperative self-management question prompt list for adult liver transplant recipients and conduct preliminary application,aiming to provide an effective tool for facilitating their engagement in postoperative self-management.Methods From August to September 2024,the first draft of the postoperative self-management question prompt list for adult liver transplant recipients was developed through literature search and qualitative interviews,including 9 primary items and 50 secondary items.From October to November 2024,16 experts from Qingdao,Jinan,Beijing,and Fuzhou were interviewed on the Delphi method for 2 rounds to revise the question prompt list.From February to March 2025,19 patients after liver transplantation were selected for the preliminary application of the question prompt list.Results The response rates in the 2 rounds of consultations were both 100％and the authority coefficients of experts were both 0.88.The Kendall's W in the 2 rounds was 0.336 and 0.344(P＜0.001),respectively.The final question prompt list includes 9 primary items and 49 secondary items.The study showed that QPL demonstrated high clinical practicability in helping patients systematically understand the self-management framework after liver transplantation,promoting doctor-patient communication,and enhancing the initiative of self-management.Conclusion The question prompt list of postoperative self-management for adult liver transplant recipients established in this study is scientific,reliable,and practical,which is helpful for patients to obtain information about self-management from medical staff.

Objective:To screen the optimal machine learning model for predicting the recurrence condition of hepatocellular carcinoma (HCC) at different time points post-surgery, based on the cutoff value of the Ki67 positive proliferation index condition calculated from recurrence-free survival and combined with various clinical features.Methods:retrospective study included initially treated patients with solitary HCC who underwent radical surgery at the Fifth Medical Center of the PLA General Hospital from January 2013 to March 2023. Data included general clinical data, preoperative laboratory parameters, and surgical pathology information about the subjects. The postoperative recurrence status was assessed by querying the medical record system or by telephone follow-up. The Ki67 positive index cutoff value was determined by the X-tile software based on the patient's recurrence-free survival status and time analysis. Survival rates were calculated using the Kaplan-Meier method, and survival curves were plotted. The study population was randomly divided into training and testing groups in a 7:3 ratio using a computer-generated random number method. The minimum redundancy maximum relevance (mRMR) method was used for feature variable selection. Predictive models for postoperative HCC recurrence conditions in patients with HCC were constructed using random forest, support vector machine, logistic regression, and gradient boosting decision tree machine learning algorithms. Inter-group comparisons for continuous data were performed using the t-test or Mann-Whitney U test. Inter-group comparisons of enumeration data were performed using the Pearson χ2 test, continuity-corrected χ2 test, or Fisher's exact test. Results:The cutoff values for the Ki67 positivity index were 0.3 and 0.5 in 510 cases, with a follow-up time ranging from 1.2 to 11.4 years (median: 6.2 years). The recurrence-free survival time was between 1 and 135 months (median: 32 months), with recurrence-free survival rates post-surgery at 1, 2, 3, and 5 years were 87.5%, 77.1%, 61.2%, and 54.5%, respectively. The top five variables predicted HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years, in accordance with information obtained by the mRMR screen out. The Ki67 positivity index screened a successfully constructed machine learning model to predict HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years. The machine learning model based on the gradient boosting decision tree algorithm had the best prediction performance among them (areas under the receiver operating characteristic curves for predicting HCC recurrence within six months in the training and validation sets were 0.996 and 0.946, and accuracies were 0.972 and 0.935, respectively).Conclusion:A machine learning model was successfully constructed using the Ki67 positivity index combined with four readily available clinical features to predict HCC recurrence. The machine learning model based on the gradient boosting decision tree algorithm demonstrated the best performance in terms of predicting HCC recurrence within six months after surgery.

Astragali Radix (AR), a traditional Chinese medicine (TCM), has demonstrated therapeutic efficacy against various diseases, including cardiovascular conditions, over centuries of use. While doxorubicin serves as an effective chemotherapeutic agent against multiple cancers, its clinical application remains constrained by significant cardiotoxicity. Research has indicated that AR exhibits protective properties against doxorubicin-induced cardiomyopathy (DIC); however, the specific bioactive components and underlying mechanisms responsible for this therapeutic effect remain incompletely understood. This investigation seeks to identify the protective bioactive components in AR against DIC and elucidate their mechanisms of action. Through network medicine analysis, astragaloside IV (AsIV) and formononetin (FMT) were identified as potential cardioprotective agents from 129 AR components. In vitro experiments using H9c2 rat cardiomyocytes revealed that the AsIV-FMT combination (AFC) effectively reduced doxorubicin-induced cell death in a dose-dependent manner, with optimal efficacy at a 1∶2 ratio. In vivo, AFC enhanced survival rates and improved cardiac function in both acute and chronic DIC mouse models. Additionally, AFC demonstrated cardiac protection while maintaining doxorubicin's anti-cancer efficacy in a breast cancer mouse model. Lipidomic and metabolomics analyses revealed that AFC normalized doxorubicin-induced lipid profile alterations, particularly by reducing fatty acid accumulation. Gene knockdown studies and inhibitor experiments in H9c2 cells demonstrated that AsIV and FMT upregulated peroxisome proliferator activated receptor γ coactivator 1α (PGC-1α) and PPARα, respectively, two key proteins involved in fatty acid metabolism. This research establishes AFC as a promising therapeutic approach for DIC, highlighting the significance of multi-target therapies derived from natural herbals in contemporary medicine.
Animals ; Doxorubicin/adverse effects* ; Saponins/administration & dosage* ; Isoflavones/pharmacology* ; Rats ; Cardiomyopathies/prevention & control* ; Mice ; Fatty Acids/metabolism* ; Myocytes, Cardiac/metabolism* ; Triterpenes/administration & dosage* ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Humans ; Cardiotonic Agents/administration & dosage* ; Mice, Inbred C57BL ; Cell Line ; Astragalus Plant/chemistry* ; Astragalus propinquus