The spine is the most common site of skeletal metastasis in lung cancer, which frequently leads to severe complications such as pathological fracture and neurological compromise and is associated with poor prognosis. The development and progression of spinal metastasis from lung cancer are linked to the unique local microenvironment and tumor microenvironment (TME) of the vertebral column. During metastatic evolution, the dense vascular network of the spine and a plethora of signaling molecules, together with the complex cellular constituents and their intricate interactions within the TME, all cooperate to facilitate the tumor invasion and colonization of the vertebral compartment. Mechanistic studies delineating the role of the TME in spinal metastasis from lung cancer have markedly expanded, fostering the emergence of innovative therapeutic strategies—including nanomedicines, sono-photodynamic therapy, gene therapy, and combination regimens. These strategies demonstrate remarkably potential for clinical translation and offer new directions for the precision management of spinal metastasis from lung cancer.

By systematically analyzing the bottlenecks in current traditional Chinese medicine （TCM） efficacy evaluation， this study addresses the limitations of TCM efficacy assessment methods in terms of individualization， holism， and complexity representation. Drawing on the concepts and methodologies of evidence-based medicine and systems biology， this paper proposes a new evaluation path by integrating multidisciplinary technologies such as big data， artificial intelligence （AI）， omics techniques， and bioinformatics， and encompassing from foundational data， individualized evaluation， and mechanistic analysis to evidence translation. The path first integrates real-world data， multi-omics profiling， and dynamic monitoring via smart devices to construct a high-dimensional dynamic data foundation. Subsequently， leveraging this foundation， it combines digital twins， dynamic symptom networks， and reinforcement learning to develop a dynamic efficacy evaluation method based on individual self-reference， enabling a shift from group mean comparisons to individual potential outcome comparisons. Furthermore， adopting the systems biology paradigm， it employs dynamic omics monitoring and deep learning models to dissect the synergistic mechanisms of TCM compound prescriptions from network regulation， emergent effects， and dynamic evolution dimensions. Finally， it enhances real-world evidence strength through target trial emulation and causal inference， achieving model iteration via incremental learning. This path aims to advance efficacy evaluation from "point validation" to "systematic characterization" and from "outcome assessment" to "process mechanism elucidation，" providing methodological support for the modernization of TCM.

It attempts to determine the theoretical connotation and clinical application of the twelve-meridian based syndrome/pattern differentiation of TCM through the systematic analysis and elaboration, so as to promote the completion of meridian differentiation system. The exploration is conducted on the main body of traditional meridian-syndrome differentiation, meaning the meridian differentiation in terms of location of illness and that in terms of symptoms. The existing problems and causes are analyzed, and the specific methods of meridian differentiation put forward in line with the characteristics of meridian distribution and symptoms. In reference with Huangdi Neijing (Yellow Emperors' Canon of Medicine) and other ancient literature, the theoretical evidences of meridian differentiation are deeply analyzed in view of physiological/pathological characteristics that has been neglected in the past, such as qi and blood of meridians, opening, closing and pivoting, and time. Additionally, the category issues related to twelve-meridian differentiation and their relationship with six-meridian differentiation are expounded. The summary on the multiple connotations of twelve-meridian differentiation is of great significance on re-understanding meridians, perfecting meridian-collateral differentiation system and improving the accuracy on meridian-based treatment. Besides, the reconstruction of meridian differentiation and its framework is considered profoundly.
Meridians ; Humans ; Medicine, Chinese Traditional ; Acupuncture Therapy ; Diagnosis, Differential ; History, Ancient ; Acupuncture Points ; Medicine in Literature

BACKGROUND: The role of inflammation in the development of gestational diabetes mellitus (GDM) has recently become a focus of research. The systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI), novel indices, reflect the body's chronic immune-inflammatory state. This study aimed to investigate the associations between the SII or SIRI and GDM. METHODS: A prospective birth cohort study was conducted at Beijing Obstetrics and Gynecology Hospital from February 2018 to December 2020, recruiting participants in their first trimester of pregnancy. Baseline SII and SIRI values were derived from routine clinical blood results, calculated as follows: SII = neutrophil (Neut) count × platelet (PLT) count/lymphocyte (Lymph) count, SIRI = Neut count × monocyte (Mono) count/Lymph count, with participants being grouped by quartiles of their SII or SIRI values. Participants were followed up for GDM with a 75-g, 2-h oral glucose tolerance test (OGTT) at 24-28 weeks of gestation using the glucose thresholds of the International Association of Diabetes and Pregnancy Study Groups (IADPSG). Logistic regression was used to analyze the odds ratios (ORs) (95% confidence intervals [CIs]) for the the associations between SII, SIRI, and the risk of GDM. RESULTS: Among the 28,124 women included in the study, the average age was 31.8 ± 3.8 years, and 15.76% (4432/28,124) developed GDM. Higher SII and SIRI quartiles were correlated with increased GDM rates, with rates ranging from 12.26% (862/7031) in the lowest quartile to 20.10% (1413/7031) in the highest quartile for the SII ( Ptrend <0.001) and 11.92-19.31% for the SIRI ( Ptrend <0.001). The ORs (95% CIs) of the second, third, and fourth SII quartiles were 1.09 (0.98-1.21), 1.21 (1.09-1.34), and 1.39 (1.26-1.54), respectively. The SIRI findings paralleled the SII outcomes. For the second through fourth quartiles, the ORs (95% CIs) were 1.24 (1.12-1.38), 1.41 (1.27-1.57), and 1.64 (1.48-1.82), respectively. These associations were maintained in subgroup and sensitivity analyses. CONCLUSION The SII and SIRI are potential independent risk factors contributing to the onset of GDM.
Humans ; Female ; Pregnancy ; Diabetes, Gestational/immunology* ; Prospective Studies ; Adult ; Inflammation/immunology* ; Glucose Tolerance Test ; Birth Cohort

Objective:To develop an artificial intelligence（AI）-based sequential ultrasound-magnetic resonance imaging（US-MRI）diagnostic strategy to optimize the imaging workflow for ovarian masses.Methods:A total of 1 120 patients with pathologically confirmed ovarian masses who underwent both preoperative pelvic ultrasound and MRI between January 2021 and December 2023 at Women's Hospital，Zhejiang University School of Medicine were retrospectively included. Patients were randomly divided into the training（ n=672）and internal test set（ n=448）at a ratio of 6∶4. An external test set（ n=128）was established at the Forth Affiliated Hospital of School of Medicine. Deep learning was used for automated segmentation of MRI lesions，followed by radiomic feature extraction and machine learning classification to construct both a US-MRI multimodal model and sequential US-MRI strategy. Diagnostic performance and potential healthcare cost-saving effects were evaluated across strategies. Results:In the internal test set（ n=448），the AI-based sequential US-MRI strategy achieved a F1 score of 0.863 and a diagnostic accuracy of 82.14%，with no significant difference compared to the US-MRI multi-modal model（ P>0.05）. The sequential strategy identified 82 cases（18.30%，82/448）of patients as low-risk true negatives during initial ultrasound screening，suggesting a potential to reduce the need for MRI examinations in future clinical practice. In the external test set（ n=128），the strategy achieved an F1 score of 0.800 and a confirmed diagnosis rate of 85.94%，with a theoretical reduction of 26.56%（34 cases）in MRI utilization while maintaining a diagnostic accuracy rate higher than that of the multi-modal model（82.18%）. Conclusions:The AI-based US-MRI sequential diagnostic strategy demonstrates favorable diagnostic accuracy while offering the potential to optimize MRI utilization. This approach may enhance the efficiency of imaging resource allocation and reduce healthcare burden in the management of ovarian masses.

From the perspective of Chinese medicine classics and traditional theories,this paper discusses the pathways of acu-puncture-moxibustion treatment for brain diseases,providing a reference for constructing an acupuncture-moxibustion diagnosis and treatment system for brain diseases that aligns with the characteristics of Chinese medicine.First,it reviews the understanding of the brain and brain diseases by physicians throughout history,classifies the conditions included in modern Chinese medicine's scope of brain diseases,and defines the category of brain diseases in Chinese medicine.Based on Chinese medicine classics and the theories and practices of physicians from ancient to modern times,it elaborates on the meridian pathways,viscus pathways and body structure pathways for acupuncture-moxibustion treatment of brain diseases,which includes treatment based on the Governor Vessel,the Foot-Taiyang Bladder Meridian,the Foot-Yangming Stomach Meridian,and other meridians,treatment based on the heart,kidney,intes-tines,and other viscera related to the brain,and treatment based on the characteristics of the body structure related to the cranium and brain and the brain-orifice connection.Finally,it emphasizes the significance of these pathways in enriching the clinical methods of acupuncture-moxibustion for treating brain diseases and highlights the importance of establishing a syndrome differentiation and treat-ment system for brain diseases that reflects the unique features of acupuncture-moxibustion.

Objective To investigate the effect of resveratrol on the tumor microenvironment in osteosarcoma. Methods A C57BL/6 xenograft mouse model was established and treated with resveratrol. Single-cell sequencing was performed to analyze changes in the tumor microenvironment. Immunohistochemistry was used to assess immune cell infiltration, while Western blotting was conducted to examine alterations in cellular signaling pathways. Results Resveratrol significantly inhibited the proliferation of LM8 osteosarcoma cells in C57BL/6 mice compared to the control group. Additionally, CD8⁺ T cell recruitment was enhanced. The Janus kinase 2/signal transducer and activator of transcription 3 (JAK2/STAT3) signaling pathway was notably downregulated in LM8 osteosarcoma cells following resveratrol treatment. Conclusion Resveratrol promotes CD8⁺ T cell infiltration by inhibiting the JAK2/STAT3 signaling pathway, suggesting its potential as a therapeutic agent in osteosarcoma treatment.
Osteosarcoma/genetics* ; STAT3 Transcription Factor/genetics* ; Resveratrol/pharmacology* ; Animals ; Janus Kinase 2/genetics* ; Signal Transduction/drug effects* ; Tumor Microenvironment/immunology* ; Cell Line, Tumor ; Mice, Inbred C57BL ; Mice ; Humans ; Cell Proliferation/drug effects* ; Bone Neoplasms/metabolism* ; CD8-Positive T-Lymphocytes/drug effects* ; Xenograft Model Antitumor Assays

Objective To explore the mechanism of TubA in the treatment of ulcerative colitis in mice,and to lay a foundation for the treatment strategy of ulcerative colitis.Methods Twenty C57BL/6 mice aged 6-8 weeks were randomly divided into 4 groups(n=5):the control group drank pure water every day,the model group and the treatment groups drank 3％dextran sulfate sodium(DSS)every day,and the treatment groups were injected with 10 mg/kg TubA and 20 mg/kg TubA every day from the third day,respectively.The weight changes of mice in all groups were recorded.Nine days later,the serum of mice was collected,and the expression levels of inflammatory factors IL-1β,IL-6 and IL-10 in serum were detected by ELISA.HE staining was used to observe the pathological changes of the mouse colon.The expression of myeloperoxidase(MPO)was detected by immunohistochemistry,the mRNA levels of inflammatory factors IL-1β,IL-6 and IL-10 were detected by RT-qPCR,and the expressions of GPX4 and FTH were detected by immunohistochemistry.The mRNA and protein expression levels of GPX4,GCLM,FTH,Nrf2,Keap1 and HO-1 in colon tissues were detected by RT-qPCR and Western blotting.Results Compared with the control group,the body weight and colon length of the model group decreased significantly.HE staining showed that inflammatory cells infiltrated the mucosa and submucosa of colon tissue,goblet cells were lost and crypt structure disordered and disappeared.Immunohistochemistry showed that the expression of MPO and FTH proteins were significantly increased,while the expression of GPX4 protein was significantly decreased(P＜0.05).The mRNA and protein expression levels of IL-1β and IL-6 were significantly increased,while the mRNA and protein expression levels of IL-10 were significantly decreased(P＜0.05).The mRNA and protein expression levels of FTH,Nrf2 and HO-1 were significantly increased,while the mRNA and protein expression levels of GPX4,GCLM and Keap1 were significantly decreased(P＜0.05).After TubA treatment,compared with the model group,all these changes mentioned above suppressed(P＜0.05).Conclusion TubA may reduce ulcerative colitis symptoms by inhibiting ferroptosis,providing new ideas for the treatment of ulcerative colitis.

Objective To explore the mechanism of TubA in the treatment of ulcerative colitis in mice,and to lay a foundation for the treatment strategy of ulcerative colitis.Methods Twenty C57BL/6 mice aged 6-8 weeks were randomly divided into 4 groups(n=5):the control group drank pure water every day,the model group and the treatment groups drank 3％dextran sulfate sodium(DSS)every day,and the treatment groups were injected with 10 mg/kg TubA and 20 mg/kg TubA every day from the third day,respectively.The weight changes of mice in all groups were recorded.Nine days later,the serum of mice was collected,and the expression levels of inflammatory factors IL-1β,IL-6 and IL-10 in serum were detected by ELISA.HE staining was used to observe the pathological changes of the mouse colon.The expression of myeloperoxidase(MPO)was detected by immunohistochemistry,the mRNA levels of inflammatory factors IL-1β,IL-6 and IL-10 were detected by RT-qPCR,and the expressions of GPX4 and FTH were detected by immunohistochemistry.The mRNA and protein expression levels of GPX4,GCLM,FTH,Nrf2,Keap1 and HO-1 in colon tissues were detected by RT-qPCR and Western blotting.Results Compared with the control group,the body weight and colon length of the model group decreased significantly.HE staining showed that inflammatory cells infiltrated the mucosa and submucosa of colon tissue,goblet cells were lost and crypt structure disordered and disappeared.Immunohistochemistry showed that the expression of MPO and FTH proteins were significantly increased,while the expression of GPX4 protein was significantly decreased(P＜0.05).The mRNA and protein expression levels of IL-1β and IL-6 were significantly increased,while the mRNA and protein expression levels of IL-10 were significantly decreased(P＜0.05).The mRNA and protein expression levels of FTH,Nrf2 and HO-1 were significantly increased,while the mRNA and protein expression levels of GPX4,GCLM and Keap1 were significantly decreased(P＜0.05).After TubA treatment,compared with the model group,all these changes mentioned above suppressed(P＜0.05).Conclusion TubA may reduce ulcerative colitis symptoms by inhibiting ferroptosis,providing new ideas for the treatment of ulcerative colitis.

This article reports a case of extensive ocular inflammation following zoledronic acid infusion for the treatment of osteoporosis. The patient developed pain, eyelid edema, conjunctival congestion, and decreased vision in the right eye one day after receiving intravenous zoledronic acid, and was diagnosed with uveitis, scleritis, and periorbital soft tissue inflammation. The patient′s symptoms were evaluated using the clinical activity score(CAS). After high-dose corticosteroid pulse therapy combined with other comprehensive treatments, the symptoms improved markedly. This article reviews the incidence, clinical features, potential mechanisms, management, and prognosis of ocular adverse reactions induced by zoledronic acid, and highlights the importance of early recognition and timely treatment of ocular inflammation after zoledronic acid therapy.