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.

Nitrogen narcosis is a neurological syndrome that manifests when humans or animals encounter hyperbaric nitrogen, resulting in a range of motor, emotional, and cognitive abnormalities. The anterior cingulate cortex (ACC) is known for its significant involvement in regulating motivation, cognition, and action. However, its specific contribution to nitrogen narcosis-induced hyperlocomotion and the underlying mechanisms remain poorly understood. Here we report that exposure to hyperbaric nitrogen notably increased the locomotor activity of mice in a pressure-dependent manner. Concurrently, this exposure induced heightened activation among neurons in both the ACC and dorsal medial striatum (DMS). Notably, chemogenetic inhibition of ACC neurons effectively suppressed hyperlocomotion. Conversely, chemogenetic excitation lowered the hyperbaric pressure threshold required to induce hyperlocomotion. Moreover, both chemogenetic inhibition and genetic ablation of activity-dependent neurons within the ACC reduced the hyperlocomotion. Further investigation revealed that ACC neurons project to the DMS, and chemogenetic inhibition of ACC-DMS projections resulted in a reduction in hyperlocomotion. Finally, nitrogen narcosis led to an increase in local field potentials in the theta frequency band and a decrease in the alpha frequency band in both the ACC and DMS. These results collectively suggest that excitatory neurons within the ACC, along with their projections to the DMS, play a pivotal role in regulating the hyperlocomotion induced by exposure to hyperbaric nitrogen.
Animals ; Gyrus Cinguli/drug effects* ; Male ; Mice, Inbred C57BL ; Locomotion/drug effects* ; Neurons/drug effects* ; Mice ; Nitrogen/toxicity* ; Inert Gas Narcosis/physiopathology* ; Corpus Striatum/physiopathology*

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Neuropathic pain, a debilitating condition caused by dysfunction of the somatosensory nervous system, remains difficult to treat due to limited understanding of its molecular mechanisms. Bioinformatics analysis identified cerebellin 2 (CBLN2) as highly enriched in human and murine proprioceptive and nociceptive neurons. We found that CBLN2 expression is persistently upregulated in dorsal root ganglia (DRG) following spinal nerve ligation (SNL) in mice. In addition, transcription factor SOX11 binds to 12 cis-regulatory elements within the Cbln2 promoter to enhance its transcription. SNL also induced SOX11 upregulation, with SOX11 and CBLN2 co-localized in nociceptive neurons. The siRNA-mediated knockdown of Sox11 or Cbln2 attenuated SNL-induced mechanical allodynia and thermal hyperalgesia. High-throughput sequencing of DRG following intrathecal injection of CBLN2 revealed widespread gene expression changes, including upregulation of numerous NF-κB downstream targets. Consistently, CBLN2 activated NF-κB signaling, and inhibition with pyrrolidine dithiocarbamate reduced CBLN2-induced pain hypersensitivity, proinflammatory cytokines and chemokines production, and neuronal hyperexcitability. Together, these findings identified the SOX11/CBLN2/NF-κB axis as a critical mediator of neuropathic pain and a promising target for therapeutic intervention.
Animals ; Neuralgia/metabolism* ; Ganglia, Spinal/metabolism* ; Up-Regulation ; Mice ; NF-kappa B/metabolism* ; SOXC Transcription Factors/genetics* ; Male ; Neuroinflammatory Diseases/metabolism* ; Mice, Inbred C57BL ; Nerve Tissue Proteins/genetics* ; Hyperalgesia/metabolism* ; Signal Transduction ; Spinal Nerves

Objective:To investigate disease characteristics of patients with psoriatic arthritis (PsA) based on the PsA cohort in West China Hospital, so as to provide a reference for clinicians in its diagnosis, treatment, and evaluation strategy formulation.Methods:A cross-sectional study was carried out, and a descriptive analysis was conducted on clinical data from PsA patients who were treated at the Department of Dermatology, West China Hospital, Sichuan University between April 2, 2020, and January 21, 2025. Demographic characteristics, clinical manifestations, laboratory and imaging findings, and treatment modalities were analyzed.Results:A total of 530 PsA patients were included, of whom 332 (62.6%) were males and 198 (37.4%) were females, with ages of 44.1 ± 12.4 years. Skin lesions preceded joint symptoms in 452 patients (85.3%), with time intervals ( M [ Q1, Q3]) of 8.0 (3.0, 15.0) years. Overweight or obesity was observed in 319 patients (60.2%), and 188 (35.5%) had comorbid fatty liver. Peripheral joint involvement was common (485 cases, 91.5%), with the proximal interphalangeal joints being most frequently affected by tenderness (172 cases, 35.5%) and swelling (119 cases, 24.5%) ; the number of enthesitis cases identified by ultrasonography (116 cases, 23.9%) was significantly higher than that by clinical examination (82 cases, 15.5%) ; axial joint involvement was observed in 258 patients (48.7%), with the sacroiliac joints most commonly affected (201 cases, 77.9%). Regarding treatment, conventional systemic drugs were predominant in the treatment of psoriasis prior to the diagnosis of PsA; after the diagnosis of PsA, the number of patients receiving targeted therapies increased to 334 (63.0%), with interleukin-17 inhibitors being the most common (140 cases, 26.4%), followed by tumor necrosis factor-α inhibitors (106 cases, 20.0%) and Janus kinase inhibitors (39 cases, 7.4%) . Conclusions:PsA predominantly affects males over 40 years old and is characterized by preceding skin lesions, delayed diagnosis, and multiple comorbidities. High-frequency ultrasound has advantages in the early detection of peripheral enthesitis. Further attention is needed for managing comorbidities such as fatty liver and obesity-related metabolic conditions.

Hepatocellular carcinoma(HCC),which is essentially primary liver cancer,is closely related to CD8+T cell immune infiltration and immune suppression.We constructed a CD8+T cells related risk score model to pre-dict the prognosis of HCC patients and provided therapeutic guidance based on the risk score.Using integrated bulk RNA sequencing(RNA-seq)and single-cell RNA sequencing(scRNA-seq)datasets,we identified stable CD8+T cell signatures.Based on these signatures,a 3-gene risk score model,comprised of KLRB1,RGS2,and TN-FRSF1B was constructed.The risk score model was well validated through an independent external validation co-hort.We divided patients into high-risk and low-risk groups according to the risk score and compared the differ-ences in immune microenvironment between these two groups.Compared with low-risk patients,high-risk patients have higher M2-type macrophage content(P＜0.0001)and lower CD8+T cells infiltration(P＜0.0001).High-risk patients predict worse response to immunotherapy treatment than low-risk patients(P＜0.01).Drug sensitivity a-nalysis shows that PI3K-β inhibitor AZD6482 and TGFβRII inhibitor SB505124 may be suitable therapies for high-risk patients,while the IGF-1R inhibitor BMS-754807 or the novel pyrimidine-based anti-tumor metabolic drug Gemcitabine could be potential therapeutic choices for low-risk patients.Moreover,expression of these 3-gene mod-el was verified by immunohistochemistry.In summary,the establishment and validation of a CD8+T cell-derived risk model can more accurately predict the prognosis of HCC patients and guide the construction of personalized treatment plans.

Objective To compare the periodontally accelerated osteogenic orthodontics(PAOO)effects of corticotomy with full mu-coperiosteal flap(flapped corticotomy)and corticotomy-only on accelerating orthodontic tooth movement.Methods A total of 60 healthy male SD rats(weighing 180-200 g)were selected and randomly divided into three groups.There were 20 rats each in the flapped corticotomy group,the corticotomy-only group,and the control group.After applying orthodontic instruments,5 rats each in the surgical group and the control group were killed by excessive anesthesia on 0,1,3,and 7 days after tooth movement.The tooth move-ment distances of the rats in the control group and the experimental group were counted,and immunohistochemical staining was per-formed to observe the corresponding molecular biological changes.Results There was no significant difference in accelerating ortho-dontic tooth movement between the flapped corticotomy group and the corticotomy-only group.Compared with traditional orthodontic tooth movement,both the flapped corticotomygroup and the corticotomy-only group could bring an increase in the expression of RANKL on the pressed periodontal side while there was no significant difference between the two experimental groups.Both the flapped corticot-omy and non-flapped corticotomy could enlarge the area of tissue formation in the periodontal tension zone,and still there was no signif-icant difference between the two surgical methods.Compared with traditional orthodontic tooth movement,both the flapped corticotomy group and the corticotomy-only group could lead to an increase in ALP,OCN and OPN expression on the periodontal tension zone.Conclusion Both flapped corticotomy and corticotomy play a significant role in accelerating orthodontic tooth movement and promoting alveolar bone formation in the early stage.Both surgical methods of PAOO can provide more efficient and stable biological support for orthodontic treatment.

Hepatocellular carcinoma(HCC),which is essentially primary liver cancer,is closely related to CD8+T cell immune infiltration and immune suppression.We constructed a CD8+T cells related risk score model to pre-dict the prognosis of HCC patients and provided therapeutic guidance based on the risk score.Using integrated bulk RNA sequencing(RNA-seq)and single-cell RNA sequencing(scRNA-seq)datasets,we identified stable CD8+T cell signatures.Based on these signatures,a 3-gene risk score model,comprised of KLRB1,RGS2,and TN-FRSF1B was constructed.The risk score model was well validated through an independent external validation co-hort.We divided patients into high-risk and low-risk groups according to the risk score and compared the differ-ences in immune microenvironment between these two groups.Compared with low-risk patients,high-risk patients have higher M2-type macrophage content(P＜0.0001)and lower CD8+T cells infiltration(P＜0.0001).High-risk patients predict worse response to immunotherapy treatment than low-risk patients(P＜0.01).Drug sensitivity a-nalysis shows that PI3K-β inhibitor AZD6482 and TGFβRII inhibitor SB505124 may be suitable therapies for high-risk patients,while the IGF-1R inhibitor BMS-754807 or the novel pyrimidine-based anti-tumor metabolic drug Gemcitabine could be potential therapeutic choices for low-risk patients.Moreover,expression of these 3-gene mod-el was verified by immunohistochemistry.In summary,the establishment and validation of a CD8+T cell-derived risk model can more accurately predict the prognosis of HCC patients and guide the construction of personalized treatment plans.

ObjectiveTo establish an adjusted Serfling regression model to estimate the excess cases and the excess epidemic period of hand-foot-mouth disease (HFMD) in Beijing from 2011 to 2019, so as to provide data support and decision-making basis for HFMD prevention and control. MethodsThe weekly number of HFMD cases in Beijing from 2011 to 2019 was utilized for adjusted the Serfling regression model. Then the adjusted model was used to fit the baseline and epidemic threshold of HFMD in Beijing from 2011 to 2019, calculating the excess cases and determining the excess epidemic period. ResultsA total of 279 306 cases of HFMD were reported in Beijing from 2011 to 2019, with the climax of the disease occurring in summer and autumn. After adjusting the fitting R² of the Serfling regression model to 0.773, a total of 10 excess epidemic periods totaling 92 weeks were estimated, mainly occurring in summer. The highest number of excess cases during an excess epidemic period was found in 2014 (1 272 cases, 95%CI: 990‒1 554), accounting for 65.04% of the actual cases (95%CI: 50.62%‒79.46%). ConclusionThe adjusted Serfling regression model fits well and can be utilized for early warning of HFMD and estimating the disease burden caused by HFMD.

Objective:To investigate disease characteristics of patients with psoriatic arthritis (PsA) based on the PsA cohort in West China Hospital, so as to provide a reference for clinicians in its diagnosis, treatment, and evaluation strategy formulation.Methods:A cross-sectional study was carried out, and a descriptive analysis was conducted on clinical data from PsA patients who were treated at the Department of Dermatology, West China Hospital, Sichuan University between April 2, 2020, and January 21, 2025. Demographic characteristics, clinical manifestations, laboratory and imaging findings, and treatment modalities were analyzed.Results:A total of 530 PsA patients were included, of whom 332 (62.6%) were males and 198 (37.4%) were females, with ages of 44.1 ± 12.4 years. Skin lesions preceded joint symptoms in 452 patients (85.3%), with time intervals ( M [ Q1, Q3]) of 8.0 (3.0, 15.0) years. Overweight or obesity was observed in 319 patients (60.2%), and 188 (35.5%) had comorbid fatty liver. Peripheral joint involvement was common (485 cases, 91.5%), with the proximal interphalangeal joints being most frequently affected by tenderness (172 cases, 35.5%) and swelling (119 cases, 24.5%) ; the number of enthesitis cases identified by ultrasonography (116 cases, 23.9%) was significantly higher than that by clinical examination (82 cases, 15.5%) ; axial joint involvement was observed in 258 patients (48.7%), with the sacroiliac joints most commonly affected (201 cases, 77.9%). Regarding treatment, conventional systemic drugs were predominant in the treatment of psoriasis prior to the diagnosis of PsA; after the diagnosis of PsA, the number of patients receiving targeted therapies increased to 334 (63.0%), with interleukin-17 inhibitors being the most common (140 cases, 26.4%), followed by tumor necrosis factor-α inhibitors (106 cases, 20.0%) and Janus kinase inhibitors (39 cases, 7.4%) . Conclusions:PsA predominantly affects males over 40 years old and is characterized by preceding skin lesions, delayed diagnosis, and multiple comorbidities. High-frequency ultrasound has advantages in the early detection of peripheral enthesitis. Further attention is needed for managing comorbidities such as fatty liver and obesity-related metabolic conditions.