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.

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.

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 aims As a ferroptosis inducer, sorafenib, a first-line treatment for hepatocellular carcinoma (HCC), has a significant antitumor effect. Nonetheless, HCC patients frequently develop sorafenib resistance. Here, we investigated the impacts of progestagen-associated endometrial protein (PAEP), which controls sorafenib resistance and tumorigenesis in HCC. Furthermore, we investigated the function of PAEP and the underlying molecular mechanisms that cause HCC ferroptosis when sorafenib is applied. Methods Western blot analysis, cell proliferation, colony formation and animal experiments were performed to investigate the function of PAEP in sorafenib resistance and tumorigenesis in HCC. We detected the levels of reactive oxygen species, iron, and malondialdehyde and preformed transmission electron microscopy to investigate the relationship between PAEP and ferroptosis. Co-immunoprecipitation (co-IP) assay was performed to investigate the underlying molecular mechanisms of PAEP that cause HCC ferroptosis. Results PAEP was significantly overexpressed in HCC tissues, and this was associated with a poor clinical prognosis. PAEP silencing dramatically reduced HCC cells’ malignant phenotype. We found that sorafenib-induced ferroptosis was more sensitive to HCC cells with PAEP knockdown. Furthermore, the orthotopic cell line-derived xenograft mouse model results showed that sorafenib sensitivity can be effectively increased in vivo by PAEP knockdown. We determined that transferrin (TF) was a PAEP target using the String database, and we further supported this finding with Co-IP analysis. Additionally, on sorafenib-induced ferroptosis in HCC cells, TF partially reversed the effects of PAEP knockdown. Conclusions Our research indicates that PAEP may be a potential biomarker for predicting sorafenib resistance in HCC and disruption of PAEP expression may be a potential cancer-directed therapeutic option for HCC.

The active components in traditional Chinese medicine （TCM） generally have problems such as poor solubility and low bioavailability， which seriously restrict their clinical efficacy. In recent years， TCM nano-self-assembly based on the non-covalent interactions between molecules has become the research frontier in this field because it can spontaneously form an orderly structure and improve the insoluble components in the body. Moreover， TCM nano-self-assembly has shown unique advantages in the treatment of fibrosis， inflammatory and immune diseases， infectious diseases， and cancer. This article summarizes the research context， structural system， and potential as a pharmacological substance basis of TCM nano-self-assembly by reviewing recent published studies， with focuses on the application of TCM nano-self-assembly in the treatment of diseases from single components to complex systems. In addition， this article summarizes its advantages， mechanism characteristics， and main challenges faced. At present， this field still faces issues such as insufficient mechanism research， a lack of in-depth understanding of the competitive assembly rules of multiple components， difficulty in quality control， unclear in vivo processes and safety， and obstacles to clinical translation. To address these issues， this article proposes a series of solutions， including introducing molecular dynamics simulation and artificial intelligence to predict assembly behavior， using experimental techniques to analyze non-covalent interactions， establishing a comprehensive evaluation system with multiple indicators， using isotope labeling and in vivo imaging techniques to dynamically track in vivo processes， conducting standardized safety evaluation， promoting the filing of hospital preparations and new drug applications， and strengthening early communication between research and regulation. Finally， this article points out the future development directions， aiming to provide reference for subsequent research and clinical translation.

The active components in traditional Chinese medicine （TCM） generally have problems such as poor solubility and low bioavailability， which seriously restrict their clinical efficacy. In recent years， TCM nano-self-assembly based on the non-covalent interactions between molecules has become the research frontier in this field because it can spontaneously form an orderly structure and improve the insoluble components in the body. Moreover， TCM nano-self-assembly has shown unique advantages in the treatment of fibrosis， inflammatory and immune diseases， infectious diseases， and cancer. This article summarizes the research context， structural system， and potential as a pharmacological substance basis of TCM nano-self-assembly by reviewing recent published studies， with focuses on the application of TCM nano-self-assembly in the treatment of diseases from single components to complex systems. In addition， this article summarizes its advantages， mechanism characteristics， and main challenges faced. At present， this field still faces issues such as insufficient mechanism research， a lack of in-depth understanding of the competitive assembly rules of multiple components， difficulty in quality control， unclear in vivo processes and safety， and obstacles to clinical translation. To address these issues， this article proposes a series of solutions， including introducing molecular dynamics simulation and artificial intelligence to predict assembly behavior， using experimental techniques to analyze non-covalent interactions， establishing a comprehensive evaluation system with multiple indicators， using isotope labeling and in vivo imaging techniques to dynamically track in vivo processes， conducting standardized safety evaluation， promoting the filing of hospital preparations and new drug applications， and strengthening early communication between research and regulation. Finally， this article points out the future development directions， aiming to provide reference for subsequent research and clinical translation.