ObjectiveTo investigate the therapeutic efficacy of Qizhi Tongluo granules on proteinuria in membranous nephropathy （MN） and its potential protective effects and underlying mechanism against endoplasmic reticulum stress. MethodsAfter 70 Sprague-Dawley （SD） rats were adaptively fed for one week， the MN rat model was established by injecting cationic bovine serum albumin （C-BSA） into the tail vein. Rats were divided into the normal group， model group， low-dose Qizhi Tongluo granules group （2.43 g·kg^-1）， medium-dose group （4.86 g·kg^-1）， high-dose group （9.72 g·kg^-1）， and benazepril group （0.01 g·kg^-1）， with 10 rats in each group. Treatment was administered for four weeks. The 24-hour urinary total protein （UTP） content， as well as the levels of reactive oxygen species （ROS）， malondialdehyde （MDA）， and glutathione peroxidase （GPX） in renal tissues， were measured. Renal pathological changes were assessed using immunoglobulin G （IgG） staining， periodic acid-silver methenamine （PASM） staining， and transmission electron microscopy （TEM）. The localization and expression levels of glucose-regulated protein 78 （GRP78）， phosphorylated inositol-requiring enzyme 1α （p-IRE1α）， phosphorylated protein kinase R-like endoplasmic reticulum kinase （p-PERK）， activating transcription factor 4 （ATF4）， nuclear factor erythroid 2-related factor 2 （Nrf2）， and 2'-5' oligoadenylate synthetase-like protein 1 （OASL1） in rat kidneys were detected by immunohistochemistry （IHC）. The mRNA and protein expression levels of Nrf2， thioredoxin 1 （Trx1）， thioredoxin-interacting protein （TXNIP）， and OASL1 in rat kidneys were measured using real-time quantitative polymerase chain reaction （Real-time PCR） and Western blot analysis. ResultsCompared with the normal group， UTP levels were significantly increased in the model rats （P<0.05）， with obvious renal pathological damage. GPX content levels were significantly decreased in renal tissue （P<0.05）， while ROS and MDA content levels were significantly increased （P<0.05）. The expression of GRP78， p-IRE1α， p-PERK， and ATF4 proteins was significantly increased in the kidneys （P<0.05）， while the mRNA and protein expression levels of Trx1 and Nrf2 were significantly decreased （P<0.05）. The mRNA and protein expression levels of TXNIP and OASL1 were significantly increased （P<0.05）. Compared with the model group， the UTP levels of rats in the Qizhi Tongluo granules groups and the benazepril group decreased to varying degrees （P<0.05）， and renal pathological damage was significantly alleviated. The GPX content in renal tissue was significantly increased （P<0.05）， while the ROS and MDA levels were significantly decreased （P<0.05）. The expression of GRP78， p-IRE1α， p-PERK， and ATF4 proteins in the kidney was significantly decreased （P<0.05）. The mRNA and protein expression levels of Trx1 and Nrf2 were significantly increased （P<0.05）， while the mRNA and protein expression levels of TXNIP and OASL1 were significantly decreased （P<0.05）. ConclusionQizhi Tongluo granules alleviates proteinuria in MN rats by modulating the Nrf2/OASL1 signaling pathway in renal tissues to reduce endoplasmic reticulum stress， which represents its underlying mechanism.

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.

ObjectiveMigraine is a leading neurological disorder and the fourth most common cause of years lived with disability worldwide, affecting nearly 116 million individuals. Although pharmacological treatments are available, their efficacy is often limited by side effects and variable response rates. Repetitive transcranial magnetic stimulation (rTMS) over the dorsolateral prefrontal cortex (DLPFC) offers a safe, non-invasive alternative for migraine management. However, the neurophysiological mechanisms, particularly how rTMS modulates local cortical excitability and distributed pain-related circuits, remain poorly understood. Elucidating these mechanisms is essential for optimizing treatment protocols and improving clinical outcomes. MethodsThis study employed concurrent transcranial magnetic stimulation and electroencephalography (TMS-EEG) to investigate neuroplastic and neurocircuitry mechanisms of DLPFC-rTMS in migraine. Study 1 compared 30 migraineurs and 28 healthy controls to identify abnormalities in TMS-evoked potentials (TEPs) and significant current density (SCD) within sensory-discriminative regions including the primary somatosensory cortex (S1) and posterior insula (pINS), cognitive-affective regions including the anterior insula (aINS) and midcingulate cortex (MCC), and a descending modulatory region, the periaqueductal gray (PAG). Study 2 used a single-blind, crossover, sham-controlled design in 34 healthy participants. Each participant received both active (10 Hz, 80% RMT, 1 500 pulses) and sham DLPFC-rTMS in counterbalanced order. TMS-EEG and cold pain tolerance were assessed before and after each session. ResultsIn Study 1, migraineurs showed a significantly less negative N120 amplitude compared to healthy controls (P=0.027, Cohen’s d=0.60), indicating local intracortical disinhibition. No group differences were observed for N40, P60, or P180 components. At the source level, migraineurs exhibited significantly higher SCD in the S1, pINS, aINS, and MCC (allQ<0.05), but not in the ventroposterior thalamus (vpTHAL), mediodorsal thalamus (mdTHAL), or PAG. In Study 2, active rTMS significantly reduced SCD from pre- to post-stimulation in the S1, aINS, and MCC (all Q<0.05). Sham stimulation also reduced SCD in the S1 (Q<0.05) but not in the aINS or MCC. Although no significant group-level analgesic effect was observed between active and sham conditions (P=0.107), correlation analyses revealed that greater SCD reductions in the S1 and MCC were significantly associated with higher post-rTMS pain tolerance (R=-0.487 and -0.495, both Q<0.01) and larger improvements in pain tolerance(R=-0.487 and -0.451, both Q<0.05). No such correlations were found following sham stimulation, suggesting that the behavioural relevance of neural changes is specific to active rTMS. ConclusionThis study provides novel evidence that migraineurs exhibit both local neuroplastic abnormalities (reduced N120 amplitude) and hyperactivity in key pain-processing regions (S1, pINS, aINS, MCC). A single session of DLPFC-rTMS reduced hyperactivity in the aINS, MCC, and S1. Notably, greater reductions in the S1 and MCC were associated with improved pain tolerance. These findings identify distinct cortical circuitries, particularly within the cognitive-affective pain network, that may serve as potential biomarkers for optimizing rTMS treatment in migraine and other chronic pain conditions. Future studies should validate these results in patient populations experiencing spontaneous migraine attacks and explore multi-session or accelerated rTMS protocols.

Infectious diseases occur and evolve through a dynamic contest between pathogenic qi and the body's healthy qi， with marked stage-dependent progression. This paper constructs a whole-course system of syndrome differentiation and treatment based on the theories of "struggle between pathogenic qi and healthy qi" and "relapse due to overexertion after recovery". The former reveals the intrinsic link between the waxing and waning of pathogenic and healthy qi and the evolution of syndromes， guiding stratified interventions during acute stage by discerning the location and nature of pathogenic factors and determining appropriate strategies for eliminating pathogens and supporting healthy qi according to the dynamics of deficiency and excess syndromes. The latter focuses on the recovery stage after infection and disease relapse， emphasizing harmonizing yin， yang， qi and blood to restore functions of zang-fu （脏腑） organs， and combining unblocking， tonifying， and turbidity-dispelling methods to eliminate both new and lingering pathogens. Throughout the whole-course treatment， attention should be paid to dynamic pathogenesis and stage-to-stage coherence， with emphasis on formula-syndrome correspondence， and integration of modern diagnostic and therapeutic measures， to construct individualized strategies bridging disease stages and integrating prevention with treatment， thereby systematically leveraging the integrative strengths of traditional Chinese medicine in the prevention and treatment of infectious diseases.

ObjectiveTo investigate the clinical effects and safety of Shuhe Granules （舒和颗粒） in patients with rheumatoid arthritis （RA） comorbid with insomnia. MethodsA single-arm prospective exploratory design was adopted. Thirty RA patients comorbid with insomnia and diagnosed with the traditional Chinese medicine （TCM） syndrome of kidney-heart deficiency and qi-blood disharmony were enrolled. On the basis of maintaining their original RA treatment regimens， all patients received oral Shuhe Granules， one dose per day， for 12 consecutive weeks. The outcomes were assessed before treatment and at weeks 4， 8， and 12 after treatment. Sleep and related psychosomatic function were evaluated using the insomnia severity index （ISI）， Pittsburgh sleep quality index （PSQI）， fatigue severity scale （FSS）， patient health questionnaire-9 （PHQ-9）， generalized anxiety disorder-7 （GAD-7）， and Montreal cognitive assessment （MoCA） scores. RA-related assessments included the 28-joint disease activity score based on C-reactive protein （DAS28-CRP）， pain visual analog scale （VAS）， tender joint count （TJC28）， swollen joint count （SJC28）， morning stiffness duration， and health assessment questionnaire （HAQ） score. Laboratory parameters included erythrocyte sedimentation rate （ESR）， serum C-reactive protein （CRP）， anti-cyclic citrullinated peptide antibody （anti-CCP）， and rheumatoid factor （RF） levels. A literature-based historical control group was established through literature retrieval and meta-analysis. The ISI， PSQI， DAS28-CRP， and pain VAS scores were compared between the treatment group in the present study and the historical control group. Safety assessments were also performed. ResultsCompared with baseline before treatment， ISI and PSQI scores decreased at weeks 4， 8， and 12， while MoCA scores increased at weeks 4， 8， and 12. FSS scores decreased at weeks 4 and 12. At weeks 8 and 12， GAD-7 scores， DAS28-CRP scores， duration of morning stiffness， TJC28， and SJC28 were reduced. At week 12， PHQ-9， pain VAS， and HAQ scores significantly decreased （P＜0.05）. FSS and DAS28-CRP scores at week 12 were lower than those at week 4， and CRP levels at week 8 were lower than those at week 4 （P＜0.05）. Compared with the historical control group， the treatment group showed superior improvement in ISI and PSQI scores （P＜0.001）； however， no statistically significant differences were observed between the two groups in DAS28-CRP or pain VAS scores （P＞0.05）. No serious adverse events occurred during the study， and the 4 reported mild adverse events were all considered unrelated to the study medication. ConclusionShuhe Granules significantly improve sleep quality， fatigue， emotional status， cognitive function， RA-related symptoms， and joint function in patients with RA comorbid insomnia， with good safety and tolerability.

Infectious diseases occur and evolve through a dynamic contest between pathogenic qi and the body's healthy qi， with marked stage-dependent progression. This paper constructs a whole-course system of syndrome differentiation and treatment based on the theories of "struggle between pathogenic qi and healthy qi" and "relapse due to overexertion after recovery". The former reveals the intrinsic link between the waxing and waning of pathogenic and healthy qi and the evolution of syndromes， guiding stratified interventions during acute stage by discerning the location and nature of pathogenic factors and determining appropriate strategies for eliminating pathogens and supporting healthy qi according to the dynamics of deficiency and excess syndromes. The latter focuses on the recovery stage after infection and disease relapse， emphasizing harmonizing yin， yang， qi and blood to restore functions of zang-fu （脏腑） organs， and combining unblocking， tonifying， and turbidity-dispelling methods to eliminate both new and lingering pathogens. Throughout the whole-course treatment， attention should be paid to dynamic pathogenesis and stage-to-stage coherence， with emphasis on formula-syndrome correspondence， and integration of modern diagnostic and therapeutic measures， to construct individualized strategies bridging disease stages and integrating prevention with treatment， thereby systematically leveraging the integrative strengths of traditional Chinese medicine in the prevention and treatment of infectious diseases.

OBJECTIVE To analyze the development history， current status， and major challenges of central （cloud） pharmacies within China’s close-knit county-level medical communities， and to provide references for improving the overall effectiveness of the primary-level pharmaceutical supply and support system.METHODS Policy documents and practical case data related to central （cloud） pharmacies in county-level medical communities from 31 provinces （autonomous regions and municipalities） in China were collected. A qualitative approach combining policy text analysis and comparative case analysis was employed to longitudinally trace and cross-sectionally compare the development history and current status of central （cloud） pharmacies， identify existing problems， and propose targeted recommendations. RESULTS &CONCLUSIONS The development of central （cloud） pharmacies in China has undergone three stages： initial exploration， pilot expansion and mechanism deepening， and high-level promotion with local responses. While adhering to national policy directives， various regions have conducted diverse explorations in organizational and legal forms， management models， and institutional frameworks. However， several challenges remain， including insufficient policy guidance， an imperfect mechanism for drug coordination and supply security， weaknesses in hardware infrastructure and information technology development， and the need to strengthen statistical monitoring and outcome evaluation systems. It is recommended that the construction of central （cloud） pharmacies should be oriented toward achieving their fundamental functions， improve the institutional framework， adopt differentiated construction models tailored to local conditions， enhance the coordinated drug supply and support system， strengthen information technology infrastructure and professional capacity building， unify evaluation standards， and improve performance assessment mechanisms， so as to elevate the overall effectiveness of the primary-level pharmaceutical supply and support system.

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.

Surgical treatment is one of the key approaches for non-small cell lung cancer (NSCLC). Regular postoperative follow-up is crucial for early detection and timely management of tumor recurrence, metastasis, or second primary tumors. A scientifically sound and reasonable follow-up strategy not only extends patient survival but also significantly improves quality of life, thereby enhancing overall prognosis. This consensus aims to build upon the previous version by incorporating the latest clinical research advancements and refining postoperative follow-up protocols for early-stage NSCLC patients based on different treatment modalities. It provides a scientific and practical reference for clinicians involved in the postoperative follow-up management of NSCLC. By optimizing follow-up strategies, this consensus seeks to promote the standardization and normalization of lung cancer diagnosis and treatment in China, helping more patients receive high-quality care and long-term management. Additionally, the release of this consensus is expected to provide insights for related research and clinical practice both domestically and internationally, driving continuous development and innovation in the field of postoperative management for NSCLC.

The traditional Chinese medicine （TCM） myocardial infarction （MI） unit is a standardized， regulated， and continuous integrated care unit guided by TCM theory and built upon existing chest pain centers or emergency care units. This unit emphasizes multidisciplinary collaboration and forms a restructured clinical entity without altering current departmental settings， offering comprehensive diagnostic and therapeutic services with full participation of TCM in the treatment of MI. Its core medical model is patient-centered and disease-focused， providing horizontally integrated TCM-based care across multiple specialties and vertically constructing a full-cycle treatment unit for MI， delivering prevention， treatment， and rehabilitation during the acute， stable， and recovery phases. Additionally， the unit establishes a TCM-featured education and prevention mechanism for MI to guide patients in proactive health management， reduce the incidence of myocardial infarction， and improve quality of life.