ObjectiveTo investigate the inhibitory effects of curcumol （Cur） on the proliferation and metastasis of non-small cell lung cancer （NSCLC） cells and to explore the underlying mechanisms. MethodsIn vivo， a subcutaneous tumor xenograft model was established to evaluate the antiproliferative effect of Cur. In vitro， the cell counting kit-8 （CCK-8） assay was used to assess the effects of Cur at concentrations of 0， 60， 120， 240， 360， 480， 600， 720， 840， 960 μmol·L^-1 on the viability of NCI-A549 and NCI-H23 cells， and to evaluate its inhibitory effect on the proliferation of human bronchial epithelial BEAS-2B cells. Wound healing and Transwell migration assays were conducted to assess changes in cell migratory capacity following Cur treatment. Immunohistochemistry （IHC-P） was used to investigate the regulatory effect of Cur on the Janus kinase 2/signal transducer and activator of transcription 3 （JAK2/STAT3） signaling pathway in tumor tissues. Western blot was performed to determine the protein expression levels of phosphorylated JAK2 （p-JAK2）， phosphorylated STAT3 （p-STAT3）， proliferating cell nuclear antigen （PCNA）， matrix metalloproteinase-2 （MMP-2）， matrix metalloproteinase-9 （MMP-9）， and vascular endothelial growth factor A （VEGFA） in tumor tissues and cells. To further verify the role of the JAK2/STAT3 signaling pathway in the pharmacological effects of Cur， rescue experiments were performed using the pathway agonist colivelin. ResultsIn vivo experiments showed that， compared with the model group， the tumor volumes of subcutaneous xenografts in nude mice in both low- and high-dose Cur groups were significantly reduced （P<0.05）， and the tumor inhibition rates were significantly increased （P<0.05）. The inhibitory effect in the high-dose group was comparable to that of the cisplatin group， and the body weight of mice in the Cur groups remained stable throughout the experiment. In vitro， compared with the control group， Cur at concentrations of 120 and 240 μmol·L^-1 inhibited the proliferation of NCI-A549 and NCI-H23 cells in a concentration-dependent manner （P<0.05）， with a significant inhibitory effect observed at 360 μmol·L^-1 （P<0.01）， while no significant effect on the viability of BEAS-2B cells was observed. Migration assays demonstrated that， compared with the control group， Cur treatment significantly reduced the migration rates of both cell lines in a concentration-dependent manner （P<0.05）， with an inhibitory effect at 360 μmol·L^-1 comparable to that of the cisplatin group. Mechanistic validation showed that， compared with the control group， the protein expression levels of p-JAK2 and p-STAT3 in tumor tissues and cells were significantly downregulated in the Cur groups （P<0.01）， and the expression levels of downstream proteins PCNA， MMP-2， MMP-9， and VEGFA were also significantly decreased with increasing Cur concentration （P<0.05）. In the rescue experiments， compared with the control group， colivelin pretreatment increased cell proliferation and migration rates （P<0.05） and upregulated the expression of related proteins （P<0.05）. Compared with the Cur group， the colivelin+Cur group showed significantly increased proliferation and migration rates （P<0.05）， along with significantly upregulated protein expression levels （P<0.05）. ConclusionCur can significantly inhibit the proliferation and metastasis of NSCLC both in vivo and in vitro， and its mechanism of action is closely associated with the inhibition of JAK2/STAT3 signaling pathway activation.

Lung cancer， particularly non-small cell lung cancer （NSCLC）， is the malignant tumor with the highest incidence and mortality in China and worldwide. In 2022， the global number of deaths reached 1.8 million， accounting for 18.7% of all cancer-related deaths， seriously threatening human health and life， and posing a severe challenge for prevention and treatment. Although treatment strategies for lung cancer have been continuously enriched in recent years， and progress has been made in targeted therapy and immunotherapy， long-term survival benefits remain limited due to primary or acquired drug resistance， low immune responsiveness， and chemotherapy-related toxicities. Therefore， there is an urgent need to explore safe and effective adjunctive therapeutic strategies. Traditional Chinese medicine （TCM）， with its advantages of holistic regulation and individualized syndrome differentiation， has played an increasingly prominent role in comprehensive cancer treatment. TCM holds that "Yang deficiency leads to accumulation" is a key pathogenesis of tumors. Based on the theory that "Yang transforms Qi， while Yin forms substance"， deficiency of Yang Qi results in impaired warming and transformation functions， leading to internal accumulation of Yin-cold. This is closely related to dysregulation of the immune microenvironment， "cold tumor" characteristics， and dysfunction of the neuroendocrine system in modern medicine. Accordingly， the therapeutic strategy of "warming Yang， supporting healthy Qi， and combating cancer" has gained increasing attention. In recent years， commonly used Yang-warming Chinese herbs， including Aconiti Lateralis Radix Praeparata， Zingiberis Rhizoma， Cinnamomi Cortex， Epimedii Folium， and Psoraleae Fructus， as well as their active constituents， have achieved notable progress in anti-lung cancer research by regulating multiple signaling pathways， inducing apoptosis， inhibiting metastasis， and reversing drug resistance. In addition， Yang-warming formulae such as Sini Tang and Yanghe Tang have shown promising effects in alleviating myelosuppression， improving cancer-related fatigue， managing malignant pleural effusion， and relieving cancer pain. These therapies exhibit toxicity-reducing and efficacy-enhancing effects， significantly improving patients' quality of life and survival benefits. To systematically summarize the roles and mechanisms of Yang-warming Chinese herbal medicines and compound formulae in lung cancer， this paper provides a comprehensive review of recent advances， aiming to offer insights for the clinical practice of TCM in the prevention and treatment of lung cancer.

ObjectiveTo investigate the inhibitory effects of curcumol （Cur） on the proliferation and metastasis of non-small cell lung cancer （NSCLC） cells and to explore the underlying mechanisms. MethodsIn vivo， a subcutaneous tumor xenograft model was established to evaluate the antiproliferative effect of Cur. In vitro， the cell counting kit-8 （CCK-8） assay was used to assess the effects of Cur at concentrations of 0， 60， 120， 240， 360， 480， 600， 720， 840， 960 μmol·L^-1 on the viability of NCI-A549 and NCI-H23 cells， and to evaluate its inhibitory effect on the proliferation of human bronchial epithelial BEAS-2B cells. Wound healing and Transwell migration assays were conducted to assess changes in cell migratory capacity following Cur treatment. Immunohistochemistry （IHC-P） was used to investigate the regulatory effect of Cur on the Janus kinase 2/signal transducer and activator of transcription 3 （JAK2/STAT3） signaling pathway in tumor tissues. Western blot was performed to determine the protein expression levels of phosphorylated JAK2 （p-JAK2）， phosphorylated STAT3 （p-STAT3）， proliferating cell nuclear antigen （PCNA）， matrix metalloproteinase-2 （MMP-2）， matrix metalloproteinase-9 （MMP-9）， and vascular endothelial growth factor A （VEGFA） in tumor tissues and cells. To further verify the role of the JAK2/STAT3 signaling pathway in the pharmacological effects of Cur， rescue experiments were performed using the pathway agonist colivelin. ResultsIn vivo experiments showed that， compared with the model group， the tumor volumes of subcutaneous xenografts in nude mice in both low- and high-dose Cur groups were significantly reduced （P<0.05）， and the tumor inhibition rates were significantly increased （P<0.05）. The inhibitory effect in the high-dose group was comparable to that of the cisplatin group， and the body weight of mice in the Cur groups remained stable throughout the experiment. In vitro， compared with the control group， Cur at concentrations of 120 and 240 μmol·L^-1 inhibited the proliferation of NCI-A549 and NCI-H23 cells in a concentration-dependent manner （P<0.05）， with a significant inhibitory effect observed at 360 μmol·L^-1 （P<0.01）， while no significant effect on the viability of BEAS-2B cells was observed. Migration assays demonstrated that， compared with the control group， Cur treatment significantly reduced the migration rates of both cell lines in a concentration-dependent manner （P<0.05）， with an inhibitory effect at 360 μmol·L^-1 comparable to that of the cisplatin group. Mechanistic validation showed that， compared with the control group， the protein expression levels of p-JAK2 and p-STAT3 in tumor tissues and cells were significantly downregulated in the Cur groups （P<0.01）， and the expression levels of downstream proteins PCNA， MMP-2， MMP-9， and VEGFA were also significantly decreased with increasing Cur concentration （P<0.05）. In the rescue experiments， compared with the control group， colivelin pretreatment increased cell proliferation and migration rates （P<0.05） and upregulated the expression of related proteins （P<0.05）. Compared with the Cur group， the colivelin+Cur group showed significantly increased proliferation and migration rates （P<0.05）， along with significantly upregulated protein expression levels （P<0.05）. ConclusionCur can significantly inhibit the proliferation and metastasis of NSCLC both in vivo and in vitro， and its mechanism of action is closely associated with the inhibition of JAK2/STAT3 signaling pathway activation.

Lung cancer， particularly non-small cell lung cancer （NSCLC）， is the malignant tumor with the highest incidence and mortality in China and worldwide. In 2022， the global number of deaths reached 1.8 million， accounting for 18.7% of all cancer-related deaths， seriously threatening human health and life， and posing a severe challenge for prevention and treatment. Although treatment strategies for lung cancer have been continuously enriched in recent years， and progress has been made in targeted therapy and immunotherapy， long-term survival benefits remain limited due to primary or acquired drug resistance， low immune responsiveness， and chemotherapy-related toxicities. Therefore， there is an urgent need to explore safe and effective adjunctive therapeutic strategies. Traditional Chinese medicine （TCM）， with its advantages of holistic regulation and individualized syndrome differentiation， has played an increasingly prominent role in comprehensive cancer treatment. TCM holds that "Yang deficiency leads to accumulation" is a key pathogenesis of tumors. Based on the theory that "Yang transforms Qi， while Yin forms substance"， deficiency of Yang Qi results in impaired warming and transformation functions， leading to internal accumulation of Yin-cold. This is closely related to dysregulation of the immune microenvironment， "cold tumor" characteristics， and dysfunction of the neuroendocrine system in modern medicine. Accordingly， the therapeutic strategy of "warming Yang， supporting healthy Qi， and combating cancer" has gained increasing attention. In recent years， commonly used Yang-warming Chinese herbs， including Aconiti Lateralis Radix Praeparata， Zingiberis Rhizoma， Cinnamomi Cortex， Epimedii Folium， and Psoraleae Fructus， as well as their active constituents， have achieved notable progress in anti-lung cancer research by regulating multiple signaling pathways， inducing apoptosis， inhibiting metastasis， and reversing drug resistance. In addition， Yang-warming formulae such as Sini Tang and Yanghe Tang have shown promising effects in alleviating myelosuppression， improving cancer-related fatigue， managing malignant pleural effusion， and relieving cancer pain. These therapies exhibit toxicity-reducing and efficacy-enhancing effects， significantly improving patients' quality of life and survival benefits. To systematically summarize the roles and mechanisms of Yang-warming Chinese herbal medicines and compound formulae in lung cancer， this paper provides a comprehensive review of recent advances， aiming to offer insights for the clinical practice of TCM in the prevention and treatment of lung cancer.

ObjectiveTo compare the differences in fungal community composition between lesional and non-lesional scalp areas in patients suffering from severe alopecia areata （AA）， and compare these with healthy scalp areas in control subjects. Additionally， to preliminarily explore the changes in scalp fungal communities in severe AA patients and their potential underlying immunological mechanisms. MethodsA total of 20 severe AA patients and 18 healthy controls were enrolled. Skin swab samples were collected from lesional and non-lesional scalp areas of severe AA patients， as well as from the normal scalp of healthy controls. The fungal internal transcribed spacer （ITS） region was amplified and analyzed using high-throughput sequencing. ResultsThe lesional scalp areas of severe AA patients exhibited higher α-diversity and species richness in fungal communities. Notably， the relative abundance of Ascomycota， along with genera such as Mycosphaerella， Aspergillus， Penicillium， and Wallemia， significantly increased in the bald regions. In contrast， Acremonium and Schizophyllum were more predominant in the non-lesional areas of severe AA patients. ConclusionDistinct region-specific differences in scalp fungal microbiota in severe AA patients suggests that fungal dysbiosis may play a potential role in the pathogenesis of alopecia areata. These findings provide new insights into the disease characteristics of severe AA from the perspective of scalp microecology.

Background: and Purpose Bilirubin has potent antioxidant, anti-inflammatory, and neuroprotective effects. Herein, we investigated whether total bilirubin (TBIL) modifies the association between hypertension and cerebral small vessel disease (CSVD). Methods: Data were obtained from the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events study. TBIL and direct bilirubin (DBIL) levels were assayed using fasting venous blood samples. Indirect bilirubin (IBIL) was calculated by subtracting DBIL from TBIL. TBIL was stratified as ≤17 μmol/L and >17 μmol/L based on the biological relevance of Gilbert’s syndrome. Hypertension was defined as blood pressure ≥140/90 mm Hg, self-reported hypertension history, or current use of antihypertensive agents. White matter hyperintensity, lacunes, cerebral microbleeds, and enlarged perivascular spaces were evaluated using magnetic resonance imaging and used to rate CSVD burden according to the criteria proposed by Wardlaw et al. and Rothwell et al. Results: This study included 3,061 participants, with a mean age of 61.2±6.7 years and 46.5% males. After adjusting for confounders, hypertension was associated with increased odds of presence of CSVD (Wardlaw: odds ratio [OR]=1.86, 95% confidence interval [CI] 1.41–2.44, P<0.001; Rothwell: OR=1.84, 95% CI 1.43–2.38, P<0.001) and higher modified total CSVD burden (common OR: 1.85, 95% CI 1.45–2.36, P<0.001) in participants with TBIL ≤17 μmol/L but not in TBIL >17 μmol/L (P for interaction <0.05). Johnson–Neyman analyses showed cut-off concentrations of 22.3–22.4 μmol/L for effect modification by TBIL. IBIL contributed to effect modification, whereas DBIL did not. Conclusions Mildly elevated TBIL may modify the association between hypertension and CSVD.

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.

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.

Purpose To investigate the changes in quadriceps femoris microcirculatory perfusion level after low-load blood flow restriction training and its relationship with muscle strength.Materials and Methods Twenty-five healthy subjects were prospectively recruited in the First Affiliated Hospital of Kunming Medical University from September to November 2022.A 200 mmHg pressure cuff was applied at the root of the left thigh for blood flow restriction,and the subjects completed regular knee extension training within 4 weeks.Before the first training session and within 24 hours after the last training session,all subjects underwent scanning with the 3.0T MRI intravoxel incoherent motion sequence and the multi-echo steady-state acquisition three-dimentional imaging sequence.After image post-processing,the quadriceps femoris cross-sectional area,perfusion fraction and pseudo-diffusion coefficient were obtained,and the peak torque was measured using an isokinetic dynamometer.The MRI and muscle strength test parameters before and after training were compared,and correlation analyses were performed between the change of peak torque and the change of perfusion fraction,cross-sectional area,and pseudo-diffusion coefficient respectively.Results After low-load blood flow restriction training,the cross-sectional area of the left quadriceps femoris in subjects increased(t=-4.515,P<0.05).Among its components,the cross-sectional area of the left rectus femoris,vastus intermedius and vastus lateralis all increased(t=-3.302,-2.877,-3.207,all P<0.05).The perfusion fraction value of the left quadriceps femoris increased(t=-5.447,P<0.05);the perfusion fraction values of the left rectus femoris,vastus intermedius,vastus lateralis and vastus medialis all increased(t=-5.723,-4.621,-3.767,-4.682,all P<0.05);the muscle strength of the left quadriceps femoris increased(t=-3.983,P<0.05).There was a highly positive correlation between change of perfusion fraction and peak torque of the left quadriceps femoris in subjects(r=0.708,P<0.05).Conclusion After low-load blood flow restriction training,the changes in quadriceps femoris muscle microperfusion quantified by intravoxel incoherent motion are related to muscle strength,which is helpful for formulating rehabilitation training strategies for young patients.

Acute ischemic stroke(AIS)is associated with high mortality and disability rates,presenting a substantial challenge to global public health challenge.Intravenous thrombolysis(IVT)is recognized as a cornerstone of early AIS treatment and is recommended as the standard therapeutic approach by both national and international guidelines.However,the clinical efficacy of IVT remains suboptimal due to several limitations,including a narrow therapeutic time window and the inevitable activation of the coagulation system and platelet aggregagation during thrombolysis.These factors may contribute to adverse outcomes such as early neurological deterioration(END)and vascular re-occlusion.Antiplatelet therapy(APT),which inhibits platelet aggregations,reduces microthrombus formation,and stabilizes the vascular endothelium with multifaceted mechanisms,has emerged as a promising adjunctive strategy to IVT,offering potential synergistic effects.This review summarized the latest evidence from both domestic and international studies,focusing on the mechanisms of APT,recent clinical advancements in IVT combined with APT,and the safety and efficacy of APT administration at different time windows relative to IVT.Emphasis is placed on the influence of various antiplatelet agents,dosing regimens,and initiation timing on therapeutic outcomes,alongside a comprehensive evaluation in the context of current guideline recommendations and clinical practice.Current guidelines recommend initiating APT 24 h after IVT,following imaging confirmation to exclude the risk of intracranial hemorrhage.However,the efficacy and safety of earlier APT initiation remain inconclusive.Individualized treatment strategies,such as early administration of low-dose,short-acting APT or combination therapy in specific patient subgroups,may effectively balance therapeutic benefits and risks.The adjunctive use of APT in IVT holds promise for enhancing efficacy and improving clinical outcomes,but precise stratification of safety and efficacy is essential.Future research should focus on optimizing combination IVT and APT strategies through individualized patient profiling,appropriate drug selection,and dynamic imaging monitoring to achieve precision management in AIS treatment.