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.

The continuous emergence of SARS-CoV-2 variants as well as other potential future coronavirus has challenged the effectiveness of current COVID-19 vaccines. Therefore, there remains a need for alternative antivirals that target processes less susceptible to mutations, such as the formation of six-helix bundle (6-HB) during the viral fusion step of host cell entry. In this study, a novel high-throughput screening (HTS) assay employing a yeast-two-hybrid (Y2H) system was established to identify inhibitors of HR1/HR2 interaction. The compound IMB-9C, which achieved single-digit micromolar inhibition of SARS-CoV-2 and its Omicron variants with low cytotoxicity, was selected. IMB-9C effectively blocks the HR1/HR2 interaction in vitro and inhibits SARS-CoV-2-S-mediated cell-cell fusion. It binds to both HR1 and HR2 through non-covalent interaction and influences the secondary structure of HR1/HR2 complex. In addition, virtual docking and site-mutagenesis results suggest that amino acid residues A930, I931, K933, T941, and L945 are critical for IMB-9C binding to HR1. Collectively, in this study, we have developed a novel screening method for HR1/HR2 interaction inhibitors and identified IMB-9C as a potential antiviral small molecule against COVID-19 and its variants.

Hemorrhagic shock is a common clinical emergency that can aggravate cell injury after resuscitation. Astrocytes are crucial for the survival of neurons because they regulate the surrounding ionic microenvironment of neurons. Although hemorrhagic shock and resuscitation (HSR) injury can impair cognition, it remains unclear how this insult directly affects astrocytes. In this study, we established an HSR model by bleeding and re-transfusion in mice. The social interaction test and new object recognition test were applied to evaluate post-operative cognitive changes, and the results suggest that mice experience cognitive impairment following exposure to HSR. In the HSR group, the power spectral density of β and γ oscillations decreased, and the coupling of the θ oscillation phase and γ oscillation amplitude was abnormal, which indicated abnormal neuronal oscillation and cognitive impairment after HSR exposure. In brief, cognitive impairment in mice is strongly correlated with Ca²⁺ signal strength in lateral septum astrocytes following HSR.
Animals ; Astrocytes/metabolism* ; Shock, Hemorrhagic/metabolism* ; Resuscitation/adverse effects* ; Male ; Mice ; Calcium Signaling/physiology* ; Mice, Inbred C57BL ; Septal Nuclei/metabolism* ; Cognitive Dysfunction/etiology* ; Disease Models, Animal ; Cognition Disorders/etiology*

Direct electrical stimulation of the human cortex can produce subjective visual sensations, yet these sensations are unstable. The underlying mechanisms may stem from differences in electrophysiological activity within the distributed network outside the stimulated site. To address this problem, we recruited 69 patients who experienced visual sensations during invasive electrical stimulation while intracranial electroencephalography (iEEG) data were recorded. We found significantly flattened power spectral slopes in distributed regions involving different brain networks and decreased integrated information during elicited visual sensations compared with the non-sensation condition. Further analysis based on minimum information partitions revealed that the reconfigured network interactions primarily involved the inferior frontal cortex, posterior superior temporal sulcus, and temporoparietal junction. The flattened power spectral slope in the inferior frontal gyrus was also correlated with integrated information. Taken together, this study indicates that the altered electrophysiological signatures provide insights into the neural mechanisms underlying subjective visual sensations.
Humans ; Male ; Female ; Adult ; Visual Perception/physiology* ; Electric Stimulation ; Middle Aged ; Young Adult ; Electrocorticography ; Electroencephalography ; Brain Mapping

Trophoblast cells serve as the foundation for placental development. We analyzed published multiomics sequencing data and found that trophoblast cells highly expressed RRS1 compared to primitive endoderm and epiblast. We used HTR-8/SVneo cells for further investigation, and Western blot and immunofluorescence staining confirmed that HTR-8/SVneo cells highly expressed RRS1. RRS1 was successfully knocked down in HTR-8/SVneo cells using siRNA. Using IncuCyte S3 live-cell analysis system based on continuous live-cell imaging and real-time data, we observed that proliferation, migration, and invasion abilities were all significantly decreased in RRS1-knockdown cells. RNA-seq revealed that knockdown of RRS1 affected the gene transcription, and upregulated pathways in extracellular matrix organization, DNA damage response, and intrinsic apoptotic signaling, downregulated pathways in embryo implantation, trophoblast cell migration, and wound healing. Differentially expressed genes were enriched in diseases related to placental development. Consistent with these findings, human chorionic villus samples collected from spontaneous abortion cases exhibited significantly reduced RRS1 expression compared to normal controls. Our results highlight the functional importance of RRS1 in human trophoblasts and suggest that its deficiency contributes to early pregnancy loss.
Humans ; Trophoblasts/physiology* ; Cell Movement/genetics* ; Cell Proliferation/genetics* ; Female ; Pregnancy ; Abortion, Spontaneous/metabolism* ; Cell Line ; Placentation/genetics*

Neddylation is a crucial posttranslational modification that involves the attachment of neural precursor cell-expressed developmentally downregulated protein 8 (NEDD8) to a lysine residue in the substrate via the sequential actions of the E1 NEDD8-activating enzyme (NAE) (E1), E2 NEDD8-conjugating enzyme (E2), and E3 NEDD8-ligase (E3). The most extensively studied substrates of neddylation are members of the cullin family, which act as scaffold components for cullin ring E3 ubiquitin ligases (CRLs). Since cullin neddylation activates CRLs, which are frequently overactive in tumors, inhibiting neddylation has emerged as a promising strategy for developing novel antitumor therapies. This review explores the antitumor effects of inhibiting neddylation that leads to the inactivation of CRLs and provides a summary of known inhibitors that target protein-protein interactions (PPIs) within the neddylation enzymatic cascade.

OBJECTIVE: To analyze the efficacy and access safety of extracorporeal membrane oxygenation (ECMO) in series with continuous renal replacement therapy (CRRT) access for critically ill patients using propensity score matching analysis, and to explore the potential influencing factors of infection. METHODS: A total of 200 critically ill patients who received both ECMO and CRRT treatment in the intensive care unit (ICU) of Huai'an Second People's Hospital from December 2020 to December 2024 were retrospectively selected as the research subjects. They were divided into the independent operation group (72 cases) and the series system group (128 cases) according to the access connection mode of ECMO and CRRT. Propensity score matching analysis was used to perform 1 : 1 matching for patients of the two groups. The general data [age, gender, body mass index (BMI), clinical diagnosis, underlying disease, intubation method, intubation position, disease severity, ECMO support duration, catheter indwelling duration, oxygenation index (PaO₂/FiO₂) at 48 hours after ECMO initiation, serum creatinine (SCr), procalcitonin (PCT), hemoglobin (Hb), white blood cell count (WBC), platelet count (PLT)], treatment status [ECMO initiation duration, ECMO operation duration, ECMO flow, left ventricular ejection fraction (LVEF), CRRT initiation duration, CRRT catheter indwelling duration, inflow and outflow volume of replacement fluid], clinical outcome indicators (28-day survival rate, length of ICU stay, renal function recovery, fluid balance compliance rate), and access safety indicators (incidence of ECMO access thrombosis, incidence of infection, and incidence of bleeding events) of all the patients were collected. Subgroup analysis was conducted based on the occurrence of infection, and multivariate Logistic regression analysis was used to screen the potential risk factors for infection in critically ill patients receiving both ECMO and CRRT treatment. RESULTS: Finally, a total of 120 patients were successfully matched, with 60 patients in both the independent operation group and the series system group. No statistically significant differences were observed in the general data between the two groups, indicating comparability. Compared with the independent operation group, the ECMO flow at 48 hours after ECMO initiation, SCr, and alanine transaminase (ALT) of the patients in the series system group were significantly decreased, while the LVEF at 48 hours after ECMO initiation was significantly increased, additionally, the CRRT initiation duration, CRRT catheter indwelling duration, and the length of ICU stay were significantly shortened, and the inflow and outflow volume of replacement fluid were significantly increased. The incidence of infection and bleeding events in the series system group was significantly lower than that in the independent operation group [infection incidence: 11.67% (7/60) vs. 36.67% (22/60), bleeding event incidence: 8.33% (5/60) vs. 48.33% (29/60), both P < 0.05]. No significant difference was found in the other general data, treatment status, clinical outcome indicators, or access safety indicators between the two groups. Among the 120 patients, 29 cases developed infection (accounting for 24.17%), and 91 cases had no infection (accounting for 75.83%). Compared with the non-infection group, the catheter indwelling duration was significantly prolonged and PCT was significantly increased in the infection group, while the PLT and the proportion of patients with ECMO and CRRT access connected via the series system were significantly decreased. Multivariate Logistic regression analysis showed that catheter indwelling duration [odds ratio (OR) = 1.277, 95% confidence interval (95%CI) was 1.001-1.629, P = 0.049], PCT (OR = 1.529, 95%CI was 1.222-1.914, P < 0.001], PLT (OR = 0.953, 95%CI was 0.926-0.981, P = 0.001), and access connection mode (OR = 0.289, 95%CI was 0.090-0.930, P = 0.037) were potential risk factors for infection in critically ill patients. CONCLUSIONS The ECMO-in-series CRRT access can accelerate the initiation of CRRT, avoid local bleeding, stabilize patients' cardiac, hepatic and renal functions, reduce potential infection risks, and improve the prognosis of patients.
Humans ; Extracorporeal Membrane Oxygenation/adverse effects* ; Critical Illness/therapy* ; Retrospective Studies ; Continuous Renal Replacement Therapy ; Male ; Female ; Intensive Care Units ; Propensity Score ; Middle Aged ; Renal Replacement Therapy ; Adult ; Aged ; Risk Factors

Objective To analyze the research status of in situ simulation in the medical field and explore its hotspots and trends. Methods Relevant literature was searched in China National Knowledge Infrastructure and Web of Science core collection from the inception to February 2024.CiteSpace 6.3.R1 was used to analyze the authors,institutions,and keywords and draw visual knowledge maps. Results A total of 25 Chinese articles and 438 English articles were included.Only 14 English articles were from China.In Chinese articles,the authors with the largest number of articles were Dai Hengmao and Liu Shangkun,and the institution with the largest number of articles was Tongji Hospital affiliated to Tongji Medical College of Huazhong University of Science and Technology.There was little cooperation between the authors and institutions.In English articles,the author and institution with the largest number of articles was Auerbach Marc and Yale University,respectively,and the cooperation between authors and institutions was close.Emergency medicine,emergency event handling,and on-the-job training were the keywords with high frequency in Chinese articles.Patient safety,medical education,and cardiac arrest were the keywords with high frequency in English articles.A total of 4 clusters were generated for Chinese keywords and 13 clusters for English keywords. Conclusions The application of in situ simulation in the medical field is still in the initial stage,and the development is not balanced at home and abroad.The number of articles published and the cooperation between authors and institutions in China obviously lags behind those abroad.Treatment and care of emergency critical patients,emergency event handling and skill training,identification of latent safety threats,improvement of readiness,and promotion of medical quality improvement are the future research hotspots and research trends in this field.
Bibliometrics ; Humans ; China ; Simulation Training ; Education, Medical ; Emergency Medicine/education*