With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Definitive chemoradiotherapy (dCRT) has become a cornerstone in the treatment of locally advanced esophageal cancer; however, local control remains suboptimal, and persistent lesions or locoregional recurrences after treatment are not uncommon. For patients without distant metastases but with local failure, whether surgical intervention can still offer curative potential remains a major clinical dilemma. Salvage esophagectomy (SE) offers potential long-term survival for selected patients, but this procedure is performed in the context of severe fibrosis, impaired local blood supply, and obscured anatomical planes following chemoradiotherapy, resulting in significantly higher perioperative risk compared to primary esophagectomy. Consequently, controversies exist regarding patient selection, preoperative restaging, choice of surgical approach, extent of lymphadenectomy, gastrointestinal reconstruction, and perioperative management. In recent years, with the refinement of restaging modalities such as PET/CT, the accumulation of experience in high-volume centers, and emerging evidence from clinical studies, the clinical role of SE has gradually shifted from a "high-risk salvage measure" to a "selective curative strategy aimed at achieving long-term survival in carefully selected patients". Nevertheless, standardized guidelines for patient selection, technical approaches, and perioperative management are still lacking. Based on current evidence and clinical experience, experts organized by the Integrated Esophageal Cancer Committee of Chinese Anti-Cancer Association systematically reviewed key issues regarding SE, including its definition, indications, preoperative evaluation, choice of surgical approach, lymphadenectomy, gastrointestinal reconstruction, and perioperative management, and formulated a Chinese expert consensus. This consensus aims to provide guidance for standardized assessment, appropriate referral, individualized surgical decision-making, and optimized perioperative management of patients with locoregional failure after dCRT. Ultimately, this will increase the likelihood of R0 resection, reduce the risk of severe complications, and promote the safer, more judicious, and standardized implementation of SE in high-risk scenarios.

Objective To analyze the predictive value of different obesity indicators on acute cerebral infarction in patients with transient ischemic attack (TIA). Methods A total of 310 patients with TIA admitted to Tangdu Hospital of Air Force Medical University from March 2022 to September 2025 were selected and classified into non-event group (276 cases) and cerebral infarction group (34 cases) based on acute cerebral infarction within 90 days. The basic data and obesity-related indicators [body mass index (BMI), waist-to-hip ratio, body adiposity index (BAI), conicity index (C-index) and a body shape index (ABSI were compared. Multivariate logistic regression analysis was utilized to screen the independent influencing factors. Receiver operating characteristic (ROC) curve was drawn to analyze the predictive efficiency. Results The age, proportions of concurrent hypertension and concurrent diabetes mellitus, ABCD2 score, waist-to-hip ratio, ABSI, C-index, BMI and BAI in the cerebral infarction group were older or higher than those in the non-event group, and the symptoms duration was longer (P<0.05). The above indicators were all related factors for acute cerebral infarction in patients with TIA within 90 days (P<0.05), and ABSI and ABCD² score were independent influencing factors (P<0.05). The prediction model was manifested as Logit (P)=− 4.205 + 0.482 × ABCD² score + 1.120 × ABSI × 100. ABSI and ABCD2 score had predictive value on the occurrence of acute cerebral infarction (P<0.05), and the predictive efficiency of combined model was higher than that of single indicator (P<0.05). Conclusion Among different obesity indicators, ABSI has the highest value on predicting recent acute cerebral infarction in TIA. The prediction model based on ABSI and ABCD2 score exhibits the best predictive efficiency.

ObjectiveTo observe the clinical efficacy and safety of Zhinao capsules in the treatment of mild and moderate sleep disorders in Alzheimer's disease patients with the syndrome of spleen-kidney deficiency and combined phlegm and stasis. MethodsA randomized， double-blind， placebo， controlled clinical trial design was adopted， and 60 Alzheimer's disease patients aged 50-85 years with mild and moderate sleep disorders due to spleen-kidney deficiency and combined phlegm and stasis were included. According to the randomized numble table method， the patients were assigned into a treatment group and a control group （30 in each group， with 29 patients in the treatment group and 28 patients in the control group finally completing the trial）. The treatment group was treated with donepezil hydrochloride tablets combined with Zhinao capsules， and the control group was treated with donepezil hydrochloride tablets combined with the simulant of Zhinao capsules for 12 weeks. The Pittsburgh sleep quality index （PSQI）， smart bracelet sleep monitoring， epworth sleeping scale （ESS）， Mini-Mental State Examination （MMSE）， Activities of Daily Living （ADL）， and traditional Chinese medicine symptoms were scored. Furthermore， the brain-derived neurotrophic factor （BDNF） and gamma-aminobutyric acid （GABA） levels were measured. ResultsAfter 12 weeks of treatment， the total response rate of clinical efficacy assessment in the treatment group reached 89.7%， which was significantly higher than that （21.4%） in the control group （Z=-5.14， P<0.01）. After treatment， the TCM symptom scores declined in both groups （P<0.01）， and the scores in the treatment group were lower than those in the control group （P<0.01）. After treatment， the treatment group showed decreased total score and seven component scores of the PSQI scale （P<0.05， P<0.01）， and the scores in the treatment group were lower than those in the control group （P<0.05， P<0.01）. After treatment， the treatment group showed increases in the duration of deep sleep， light sleep， rapid eye movement sleep， and total sleep at night and decreases in the time to fall asleep， the number of awakenings from sleep at night， and the time for sporadic daytime naps （P<0.01）. The control group did not show significant changes in the duration of light sleep， time to fall asleep， and number of awakenings from sleep at night. Moreover， the treatment group outperformed the control group in terms of the indicators above （P<0.05， P<0.01）. After treatment， the treatment group showed decreased scores of ESS， ADL and its subscales physical self-maintenance scale （PSMS）， and Instrumental Activities of daily living scale （IADLs） and increased score of MMSE and levels of BDNF and GABA （P<0.05， P<0.01）. There was no significant difference in PSMS between the two groups， and the treatment group was significantly better than the control group in terms of the rest of the above indicators （P<0.05， P<0.01）. Patients in neither groups complained of uncomfortable symptoms. ConclusionZhinao capsules have significant clinical efficacy in treating patients with mild and moderate sleep disorders in Alzheimer's disease patients with the syndrome of spleen-kidney deficiency and combined phlegm and stasis. Zhinao capsules can significantly reduce PSQI， ESS， and ADL scores， increase the MMSE score and the expression of BDNF and GABA， effectively optimize the structure of sleep， improve the intelligence， and enhance the ability of daily life， without causing uncomfortable symptoms. The mechanism may be related to the increase in the expression of sleep/wake-related neurotransmitters.

ObjectiveTo observe the clinical efficacy and safety of Zhinao capsules in the treatment of mild and moderate sleep disorders in Alzheimer's disease patients with the syndrome of spleen-kidney deficiency and combined phlegm and stasis. MethodsA randomized， double-blind， placebo， controlled clinical trial design was adopted， and 60 Alzheimer's disease patients aged 50-85 years with mild and moderate sleep disorders due to spleen-kidney deficiency and combined phlegm and stasis were included. According to the randomized numble table method， the patients were assigned into a treatment group and a control group （30 in each group， with 29 patients in the treatment group and 28 patients in the control group finally completing the trial）. The treatment group was treated with donepezil hydrochloride tablets combined with Zhinao capsules， and the control group was treated with donepezil hydrochloride tablets combined with the simulant of Zhinao capsules for 12 weeks. The Pittsburgh sleep quality index （PSQI）， smart bracelet sleep monitoring， epworth sleeping scale （ESS）， Mini-Mental State Examination （MMSE）， Activities of Daily Living （ADL）， and traditional Chinese medicine symptoms were scored. Furthermore， the brain-derived neurotrophic factor （BDNF） and gamma-aminobutyric acid （GABA） levels were measured. ResultsAfter 12 weeks of treatment， the total response rate of clinical efficacy assessment in the treatment group reached 89.7%， which was significantly higher than that （21.4%） in the control group （Z=-5.14， P<0.01）. After treatment， the TCM symptom scores declined in both groups （P<0.01）， and the scores in the treatment group were lower than those in the control group （P<0.01）. After treatment， the treatment group showed decreased total score and seven component scores of the PSQI scale （P<0.05， P<0.01）， and the scores in the treatment group were lower than those in the control group （P<0.05， P<0.01）. After treatment， the treatment group showed increases in the duration of deep sleep， light sleep， rapid eye movement sleep， and total sleep at night and decreases in the time to fall asleep， the number of awakenings from sleep at night， and the time for sporadic daytime naps （P<0.01）. The control group did not show significant changes in the duration of light sleep， time to fall asleep， and number of awakenings from sleep at night. Moreover， the treatment group outperformed the control group in terms of the indicators above （P<0.05， P<0.01）. After treatment， the treatment group showed decreased scores of ESS， ADL and its subscales physical self-maintenance scale （PSMS）， and Instrumental Activities of daily living scale （IADLs） and increased score of MMSE and levels of BDNF and GABA （P<0.05， P<0.01）. There was no significant difference in PSMS between the two groups， and the treatment group was significantly better than the control group in terms of the rest of the above indicators （P<0.05， P<0.01）. Patients in neither groups complained of uncomfortable symptoms. ConclusionZhinao capsules have significant clinical efficacy in treating patients with mild and moderate sleep disorders in Alzheimer's disease patients with the syndrome of spleen-kidney deficiency and combined phlegm and stasis. Zhinao capsules can significantly reduce PSQI， ESS， and ADL scores， increase the MMSE score and the expression of BDNF and GABA， effectively optimize the structure of sleep， improve the intelligence， and enhance the ability of daily life， without causing uncomfortable symptoms. The mechanism may be related to the increase in the expression of sleep/wake-related neurotransmitters.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Objective To understand the driver gene mutation status in patients with non-small cell lung cancer (NSCLC) in Xi'an City, and to analyze the association with environmental exposure factors. Methods A total of 305 NSCLC patients admitted to the First Affiliated Hospital of the Air Force Medical University from January 2019 to December 2023 were included. The driver gene mutation status was observed, and the relationship with environmental exposure factors was analyzed. Results The driver gene mutation rate of 305 patients was 46.89%, with EGFR gene mutation accounting for the highest proportion, and 4 cases of gene co-mutations were detected. There was a difference in gender among patients with different single drive gene mutations (P<0.05), and the proportion of EGFR in women was significantly higher (P<0.05). Univariate analysis showed that there were statistical differences in family history, smoking history, long-term cooking history, and fried smoked food intake between patients with driver gene mutation and patients without driver gene mutation (P<0.05). Logistic regression analysis suggested that long-term cooking history (OR=2.392), and fried smoked food intake (OR=2.849) were the environmental exposure factors affecting EGFR gene mutation (P<0.05), and smoking history (OR=1.377) was an environmental exposure factor of KRAS gene mutation (P<0.05). Conclusion EGFR gene mutation accounts for the highest proportion of NSCLC patients in Xi'an City, and is mainly female. Long-term cooking history, and fried smoked food intake are related to EGFR gene mutation. There is a certain association between smoking history and KRAS gene mutation.

In order to further standardize the vaccination of kidney transplant candidates and recipients in China, the Branch of Organ Transplantation of Chinese Medical Association has organized experts in kidney transplantation and infectious diseases. Based on the "Vaccination of Solid Organ Transplant Candidates and Recipients: Guidelines from the American Society of Transplantation Infectious Diseases Community of Practice", and in combination with the clinical reality of infectious diseases and vaccination after organ transplantation in China, as well as referring to relevant recommendations from home and abroad in recent years, these guidelines are formulated from aspects such as epidemiology, types of vaccines, vaccination principles, target population, and specific vaccine administration. The "Guidelines for Vaccination of Kidney Transplant Candidates and Recipients in China" aims to provide theoretical reference for medical workers in the field of kidney transplantation in China, regarding the vaccination of kidney transplant candidates and recipients. It is expected to better guide the vaccination of kidney transplant candidates and recipients, reduce the risk of postoperative infection, and improve survival outcomes.

Wilson disease is a copper metabolism disorder caused by mutations in the ATP7B gene， which encodes a copper-transporting ATPase β， and can result in multisystem damage. The kidneys are the third most commonly affected organs after the liver and brain. In recent years， numerous diagnostic and treatment guidelines for Wilson disease have emerged. However， most of these focus primarily on hepatic and neurological manifestations and their management， with limited coverage of renal involvement. The high incidence， low awareness， and lack of clinical specificity of Wilson disease-related renal damage （WDRD） have made early detection and intervention particularly challenging in clinical practice. To further optimize the treatment of patients with WDRD， improve clinical diagnosis and management， and enhance patients' quality of life， the Neurology Committee of the Chinese Association of Integrative Medicine， in April 2024， initiated a revision of the first expert consensus on the integrated diagnosis， treatment， and management of WDRD. This effort brought together experts in hepatology， encephalopathy （neurology）， and nephrology from many tertiary-level grade A hospitals and research institutions across China. Through comprehensive literature review and integration of frontline clinical experience， the expert group jointly developed Chinese Expert Consensus on Integrated Chinese and Western Medicine Management of Wilson Disease-related Renal Damage （hereinafter referred to as the "Consensus"）. This article provides a detailed interpretation of the Consensus in terms of diagnostic criteria， traditional Chinese medicine （TCM） syndrome differentiation and treatment classification， and comprehensive disease management， aiming to better guide clinical application. Regarding diagnostic criteria， the Consensus integrates the latest standards in China and abroad， highlights the importance of biochemical diagnosis， and compensates for the limitations of genetic testing. In the area of TCM syndrome differentiation and treatment， the Consensus refines four major syndrome types， introduces a newly defined syndrome， i.e.， phlegm， blood stasis， and heat accumulation， and elaborates on treatment principles， prescriptions， and clinical modification rules for each syndrome. For comprehensive disease management， the Consensus emphasizes multi-dimensional intervention strategies， including diet， exercise， emotional regulation， medication， and medical care， with the goal of maximally controlling the progression of renal dysfunction and helping patients achieve a better quality of life.

The circadian clock plays a critical role in regulating various physiological processes, including gene expression, metabolic regulation, immune response, and the sleep-wake cycle in living organisms. Post-translational modifications (PTMs) are crucial regulatory mechanisms to maintain the precise oscillation of the circadian clock. By modulating the stability, activity, cell localization and protein-protein interactions of core clock proteins, PTMs enable these proteins to respond dynamically to environmental and intracellular changes, thereby sustaining the periodic oscillations of the circadian clock. Different types of PTMs exert their effects through distincting molecular mechanisms, collectively ensuring the proper function of the circadian system. This review systematically summarized several major types of PTMs, including phosphorylation, acetylation, ubiquitination, SUMOylation and oxidative modification, and overviewed their roles in regulating the core clock proteins and the associated pathways, with the goals of providing a theoretical foundation for the deeper understanding of clock mechanisms and the treatment of diseases associated with circadian disruption.
Protein Processing, Post-Translational/physiology* ; Circadian Rhythm/physiology* ; Humans ; Animals ; CLOCK Proteins/physiology* ; Circadian Clocks/physiology* ; Phosphorylation ; Acetylation ; Ubiquitination ; Sumoylation