Esophageal cancer is a prevalent malignant tumor of the digestive tract in China, and radical surgery remains the cornerstone of its comprehensive treatment. However, multifactorial challenges such as postoperative gastrointestinal tract reconstruction, traumatic stress, and tumor-related metabolic disturbances render esophageal cancer patients highly susceptible to malnutrition. Perioperative nutritional support therapy plays a crucial role in enhancing surgical safety, improving clinical outcomes, and elevating patients' quality of life by regulating metabolic homeostasis, preserving organ function, and optimizing the immune microenvironment. This article reviews the mechanisms underlying malnutrition in esophageal cancer, methods for nutritional status assessment, and precision intervention pathways based on multi-omics evaluations. The aim is to strengthen clinicians' awareness of standardized perioperative nutritional management for esophageal cancer patients and promote its clinical implementation, thereby facilitating postoperative recovery and improving long-term quality of life.

In recent years, remarkable advances have been made in lung transplantation regarding donor evaluation, perioperative support, and immune regulation, laying a foundation for improving the long-term survival of recipients. The rational application of extended criteria donor lungs and the popularization of ex vivo lung perfusion technology have enhanced the utilization efficiency and safety of marginal donor lungs. Refined assessment of risk factors such as donors’ smoking history and infectious status has reduced the incidence of primary graft dysfunction and postoperative infection. In terms of recipient management, individualized assessment systems have been gradually optimized. The standardized application of intraoperative extracorporeal membrane oxygenation and the development of minimally invasive surgical techniques have effectively alleviated perioperative injuries. The optimization of postoperative immunosuppressive regimens and advances in rejection monitoring technologies have further improved the long-term survival of grafts. Nevertheless, chronic graft dysfunction and recurrent or refractory infections remain the major bottlenecks restricting long-term prognosis. Future research should focus on expanding donor sources, improving the repair quality of marginal donor lungs, promoting precise immunosuppression and anti-infection strategies, and comprehensively enhancing the long-term survival rate and quality of life of lung transplant recipients.

Residual inflammatory risk （RIR） is a key issue to be urgently addressed in the secondary prevention of atherosclerotic cardiovascular disease （ASCVD）. Targeted intervention of RIR has become a novel target for drug development and clinical management. A series of high-quality randomized controlled trials （RCTs）， including COLCOT， LoDoCo2 and CLEAR SYNERGY， provided high-level evidence and confirmed that low-dose colchicine （0.5 mg/d） significantly reduced the risk of cardiovascular events in ASCVD patients at stable stage or after the acute phase， while its efficacy varied in different clinical scenarios. International authoritative guidelines from the European Society of Cardiology and the American Heart Association/American College of Cardiology include low-dose colchicine in the recommendations for ASCVD secondary prevention. Two domestic guidelines released in 2024， namely the Guideline for the Diagnosis and Treatment of Non-ST-Segment Elevation Acute Coronary Syndrome （ 2024 ） and the Guideline for the Diagnosis and Management of Chronic Coronary Syndrome in China ， have also added relevant recommendations. Nevertheless， due to potential racial differences， safety concerns regarding drug-drug interactions， and the relative lack of clinical evidence in China， especially the absence of prospective RCTs using low-dose colchicine for secondary prevention of ASCVD patients， current clinical recommendations still mainly based on international evidence and guidelines， and should not be simply extrapolated.

Objective:To investigate the additional value of 99Tc m-hydrazinonicotinamide (HYNIC)-Tyr3-octreotide (TOC) SPECT/CT imaging in the diagnosis and treatment of gastroenteropancreatic neuroendocrine tumors (GEP-NETs). Methods:A total of 54 patients (28 males and 26 females, age: (52.6±11.7) years) who underwent enhanced CT (MR) and 99Tc m-HYNIC-TOC SPECT/CT in People′s Hospital of Zhengzhou University between December 2017 and June 2023 were analyzed retrospectively. Surgical pathology or biopsy was the gold standard of patients′ diagnosis (primary tumors), and comprehensive evaluation based on pathology, imaging and follow-up results was used as the diagnostic criteria of lesions. McNemar χ2 test was used to compare the diagnostic efficacy of different imaging methods. Results:Pathological results showed that 43 of the 54 patients were with GEP-NETs and 11 were with non-neuroendocrine tumors (NETs). The sensitivities of enhanced CT and enhanced MR in the diagnosis of patients with GEP-NETs were 65.1%(28/43) and 60.0%(15/25) respectively, which increased to 93.0%(40/43) and 92.0%(23/25) with the addition of 99Tc m-HYNIC-TOC imaging ( χ2 values: 8.64, 4.90, P values: 0.002, 0.021). There were 22 and 15 patients showing atypical enhancement on enhanced CT and enhanced MR respectively. The sensitivities of these two methods for GEP-NETs in patients with atypical enhancement were 54.5%(12/22) and 8/15 respectively, which increased to 95.5%(21/22) and 14/15 with the addition of 99Tc m-HYNIC-TOC imaging ( χ2 values: 5.82, 4.17, P values: 0.012, 0.031). Compared with enhanced CT, the detection rates of liver and bone metastatic lesions were improved significantly from 90.8%(158/174) and 55.2%(32/58) to 96.6%(168/174) and 87.9%(51/58) with the addition of 99Tc m-HYNIC-TOC imaging ( χ2 values: 5.79, 9.82, P values: 0.013, 0.001). Compared with enhanced MR, the detection rate of bone metastases was improved significantly from 56.0%(14/25) to 88.0%(22/25) with the addition of 99Tc m-HYNIC-TOC imaging ( χ2=4.08, P=0.039). After 99Tc m-HYNIC-TOC imaging, stages were changed in 7.0%(3/43) of patients and a greater number or extent of metastases were detected in 11.6%(5/43) of patients. 99Tc m-HYNIC-TOC imaging detected additional recurrent or metastatic lesions in 40.0%(8/20) of patients during follow-up compared to enhanced CT. Conclusion:99Tc m-HYNIC-TOC imaging can provide an added value for diagnosing GEP-NETs with atypically enhanced CT(MR), and in the detection of liver metastasis and early bone metastasis, thus helping the optimization of clinical treatment strategies.

Objective:To investigate the clinical value of 18F-NaF PET/CT coronary plague imaging in evaluating the long-term prognosis of patients with coronary artery disease (CAD). Methods:A retrospective cohort study was conducted among 54 patients (37 males and 17 females, aged (57.2±9.8) years) diagnosed with CAD from a multicenter study between September 2015 and October 2022. All patients underwent 18F-NaF PET/CT and coronary angiography (CAG) within 1 week, and the PET/CT imaging was performed at the First Hospital of Shanxi Medical University. Major adverse cardiovascular events (MACE) were followed up. ROC curves were established to obtain the optimal thresholds of SUV max and accumulated SUV max of all lesions of main coronary artery branches (S-SUV max) for predicting MACE. Cox proportional risk model and Kaplan-Meier method (log-rank test) were used to analyze the predictive value of PET parameters for MACE. Differences in metabolic parameters between 2 groups were compared by Mann-Whitney U test. Results:The median follow-up time of the 54 patients was 6.0(1.8, 6.6) years, and 13(24.1%) patients developed MACE, including 7 deaths, 5 myocardial infarction and 1 severe arrhythmia. S-SUV max in MACE group was significantly higher than that in the non-MACE group (2.64(2.08, 4.49) vs 1.83(0.95, 2.90); Z=-2.04, P=0.041). ROC curve showed that the optimal threshold of S-SUV max for MACE prediction was 2.05 (AUC=0.690). Multivariate Cox analysis showed that S-SUV max was a strong predictor of MACE (hazard ratio ( HR)=2.434(95% CI: 1.547-3.828), P<0.001). ROC curve showed that the optimal threshold of SUV max to predict MACE was 0.55 (AUC=0.659), and univariate Cox analysis showed that SUV max was a factor to predict MACE ( HR=10.192 (95% CI: 2.667-38.953), P=0.001). In 25 patients with incomplete revascularization (ICR), Kaplan-Meier analysis showed that the incidence of MACE in patients with positive 18F-NaF uptake (single medium stenosis (40%-70%) with SUV max≥0.55) was significantly higher than that in patients with negative 18F-NaF uptake (5/14 vs 0/11; χ2=6.07, P=0.014). Conclusions:18F-NaF PET/CT can be used as an independent predictor of MACE in patients with CAD and can quantitatively assess the long-term progression of moderate coronary artery stenosis. In the future, it is expected to be a new non-invasive way to guide the revascularization treatment decision of multi-vessel CAD.

Objective:To evaluate the efficacy and safety of baricitinib combined with ruxolitinib cream in the treatment of progressive nonsegmental vitiligo.Methods:Clinical data were retrospectively collected from patients with progressive nonsegmental vitiligo in Boao Super Hospital. All the patients were treated with oral baricitinib daily (2 mg/day for patients weighing ≤ 50 kg; 4 mg/day for those > 50 kg) in combination with topical application of ruxolitinib cream twice daily for 24 consecutive weeks. Disease severity was assessed using the facial vitiligo area scoring index (F-VASI) and total body VASI (T-VASI) at baseline, week 12, and week 24. Adverse reactions were monitored throughout the treatment course.Results:Six patients with progressive nonsegmental vitiligo were collected, including 3 males and 3 females, aged 26 - 42 years, with the disease duration ranging from 0.5 to 25 years. At week 12, 3 patients achieved a 50% ~ < 75% improvement in facial vitiligo lesions (F-VASI 50), 1 patient achieved F-VASI 75 (75% ~ < 90% improvement), and 1 patient achieved T-VASI 50; at week 24, 4 patients achieved F-VASI 50, 1 patient achieved F-VASI 75, 1 patient achieved F-VASI 90 (≥ 90% improvement), and 3 patients achieved T-VASI 50. During the treatment, upper respiratory infection occurred in 1 patient, acne in 1 patient, pruritus in 2 patients, elevation of total cholesterol levels in 2 patients, and increase of high-density lipoprotein levels in 2 patients. No severe adverse events were observed during the treatment.Conclusion:The combination therapy with baricitinib and ruxolitinib cream may have potential efficacy and safety in the treatment of progressive nonsegmental vitiligo.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To evaluate the relationship between superoxide dismutase 2 (SOD2) lactylation and nuclear receptor coactivator 4 (NCOA4)-mediated ferritinophagy-ferroptosis during cerebral ischemia-reperfusion (IR) in mice.Methods:Thirty-six clean-grade male C57BL/6 mice, aged 8-10 weeks, weighing 22-25 g, were divided into 4 groups ( n=9 each) using a table of random numbers: sham operation group (Sham group), cerebral IR group (IR group), IR+ glycolysis inhibitor 2-DG group (IR+ 2-DG group), and IR+ 2-DG+ NCOA4 overexpression group (IR+ 2-DG+ LvNCOA4 group). The model of cerebral IR injury was established by occlusion of the middle cerebral artery for 1 h followed by 24 h of reperfusion using the intraluminal suture method in anesthetized animals. 2-DG 250 mg/kg was intraperitoneally injected at 90 min before ischemia in IR+ 2-DG and IR+ 2-DG+ LvNCOA4 groups. The lentivirus overexpressing NCOA4 2 μl was injected into the ventricles at 7 days before ischemia in IR+ 2-DG+ LvNCOA4 group. The percentage of cerebral infarct volume was determined, the viable neurons were counted, and the levels of reactive oxygen species (ROS), malondialdehyde (MDA), and glutathione (GSH) were measured by enzyme-linked immunosorbent assay. The expression of SOD2, lysine 114 lactylation of superoxide dismutase 2 (SOD2-K114la), NCOA4, microtubule-associated protein 1 light chain 3β (LC3B), and acyl-CoA synthetase long-chain family member 4 (ACSL4) was determined by Western blot. Mitochondrial morphology was examined by electron microscopy. Results:Compared with Sham group, the percentage of cerebral infarct volume was significantly increased, the number of viable neurons was decreased, the levels of ROS and MDA were elevated, the content of GSH was reduced, the expression of SOD2-K114la, NCOA4, LC3B and ACSL4 was up-regulated, the expression of SOD2 was down-regulated ( P<0.05), and the mitochondrial injury was aggravated in IR group. Compared with IR group, the percentage of cerebral infarct volume was significantly decreased, the number of viable neurons was increased, the mitochondrial injury was alleviated, the levels of ROS and MDA were decreased, the content of GSH was increased, the expression of SOD2-K114la, NCOA4 and ACSL4 was down-regulated, and the expression of SOD2 and LC3B was up-regulated in IR+ 2-DG group ( P<0.05). Compared with IR+ 2-DG group, the percentage of cerebral infarct volume was significantly increased, the number of viable neurons was decreased, the levels of ROS and MDA were elevated, the content of GSH was reduced, and the expression of NCOA4, LC3B and ACSL4 was up-regulated ( P<0.05), no significant change was found in the expression of SOD2 and SOD2-K114la ( P>0.05), and the mitochondrial injury was aggravated in IR+ 2-DG+ LvNCOA4 group. Conclusions:SOD2 lactylation promotes NCOA4-mediated ferritinophagy-ferroptosis by enhancing oxidative stress, thereby contributing to the cerebral IR injury in mice.

Objective To analyze the characteristics and risk factors associated with postoperative deep vein thrombosis(DVT)of the lower extremities in patients undergoing surgery for lumbar degenerative diseases.Methods A retrospective analysis was conducted on clinical data from 298 patients who were hospitalized for lumbar degenerative diseases and underwent lumbar spine surgery treatment in the First Affiliated Hospital of Nanchang University from October 1,2022 to April 15,2023.Patients were divided into DVT group(n=71)and non-DVT group(n=227)according to whether DVT of the lower limbs occurred within 1 week postoperatively.The incidence and distribution characteristics of postoperative DVT were analyzed.Univariate and binary logistic regression analyses were performed to identify risk factors for DVT,and receiver operating characteristic(ROC)curves were used to determine cut-off values for relevant risk factors.Results A total of 298 patients were included,among whom 159 were males(53.4%)and 139 were females(46.6%),with an average age of(64.5±9.8)years.DVT occurred in 71 patients,and the incidence of lower extremity DVT was 23.8%.In the DVT group,there were 49 cases(69.0%)of intermuscular vein thrombosis,and 22 cases of other types of thrombosis(7 cases of peroneal vein thrombosis,4 cases of posterior tibial vein thrombosis,3 cases of common femoral vein thrombosis,1 case of anterior tibial vein thrombosis,and 7 cases of multiple thrombosis);58 cases(81.7%)had DVT in one lower extremity,and 13 cases(18.3%)had DVT in both lower extremities.Univariate analysis results showed that age,body mass index(BMI),length of hospital stay,history of hypertension,operative time,and intraoperative blood loss were associated with the occurrence of lower extremity DVT after surgery for lumbar degenerative diseases(P<0.05).Binary logistic regression analysis results indicated that older age(OR=1.079,P<0.01),higher BMI(OR=1.130,P=0.01),history of hypertension(OR=2.992,P<0.01),and larger intraoperative blood loss(OR=1.002,P=0.03)were independent risk factors for the occurrence of lower extremity DVT.ROC curve analysis demonstrated that patients with age>58.5 years,BMI>24.01 kg/m2,history of hypertension,and intraoperative blood loss>550 ml had a significantly increased risk of postoperative lower limb DVT.Conclusions The incidence of lower extremity DVT after surgery for lumbar degenerative disease is high,and intermuscular venous thrombosis is more common.Older age,higher BMI,history of hypertension,and larger intraoperative blood loss are independent risk factors for the occurrence of lower extremity DVT after surgery.

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.