Elderly patients with lung cancer have a significantly increased risk of perioperative cardiopulmonary complications due to physiological decline, high incidence of complications and reduced surgical tolerance, which directly affects postoperative recovery and long-term survival. Although the concepts of minimally invasive surgery and enhanced recovery after surgery have improved clinical outcomes, early recognition and intervention of postoperative complications in elderly patients remains a significant challenge in the field of thoracic surgery. By integrating recent literature and clinical practice, this paper systematically analyzes the pathophysiological mechanism and risk factors of perioperative cardiopulmonary complications in elderly patients with lung cancer, and discusses individualized intervention strategies based on risk stratification and multidisciplinary team, in order to provide theoretical basis and practical guidance for optimizing perioperative management and improving postoperative prognosis in elderly patients.

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.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Abuse of amphetamine-based stimulants is a primary public health concern. Recent studies have underscored a troubling escalation in the inappropriate use of prescription amphetamine-based stimulants. However, the neurophysiological mechanisms underlying the impact of acute methamphetamine exposure (AME) on sleep homeostasis remain to be explored. This study employed non-human primates and electroencephalogram (EEG) sleep staging to evaluate the influence of AME on neural oscillations. The primary focus was on alterations in spindles, delta oscillations, and slow oscillations (SOs) and their interactions as conduits through which AME influences sleep stability. AME predominantly diminishes sleep-spindle waves in the non-rapid eye movement 2 (NREM2) stage, and impacts SOs and delta waves differentially. Furthermore, the competitive relationships between SO/delta waves nesting with sleep spindles were selectively strengthened by methamphetamine. Complexity analysis also revealed that the SO-nested spindles had lost their ability to maintain sleep depth and stability. In summary, this finding could be one of the intrinsic electrophysiological mechanisms by which AME disrupted sleep homeostasis.
Animals ; Methamphetamine ; Electroencephalography ; Male ; Sleep/drug effects* ; Central Nervous System Stimulants ; Delta Rhythm/drug effects* ; Sleep Stages/drug effects*

Psoriasis is an incurable chronic inflammatory disease that requires new interventions. Here, we found that fibroblasts exacerbate psoriasis progression by promoting macrophage recruitment via CCL2 secretion by single-cell multi-omics analysis. The natural small molecule celastrol was screened to interfere with the secretion of CCL2 by fibroblasts and improve the psoriasis-like symptoms in both murine and cynomolgus monkey models. Mechanistically, celastrol directly bound to the low-density lipoprotein receptor-related protein 1 (LRP1) β-chain and abolished its binding to the transcription factor c-Jun in the nucleus, which in turn inhibited CCL2 production by skin fibroblasts, blocked fibroblast-macrophage crosstalk, and ameliorated psoriasis progression. Notably, fibroblast-specific LRP1 knockout mice exhibited a significant reduction in psoriasis like inflammation. Taken together, from clinical samples and combined with various mouse models, we revealed the pathogenesis of psoriasis from the perspective of fibroblast-macrophage crosstalk, and provided a foundation for LRP1 as a novel potential target for psoriasis treatment.

Thyroid diseases are clinically prevalent endocrine and metabolic disorders, including various types such as Hashimoto's thyroiditis and thyroid nodules. Their pathogenesis is complex and influenced by numerous factors, potentially involving genetic factors, environmental factors, and immune dysfunction. With the continuous advancement of modern traditional Chinese medicine (TCM), TCM has established a unique theoretical system in the prevention and treatment of thyroid diseases, with increasingly rich clinical practical experience. This article reviews the recent application of TCM health status analysis, monitoring, early warning, and prevention in the field of thyroid diseases, aiming to provide useful references for in-depth study in this field.

Objective:This study aims to initially establish a scoring system for comprehensively reflecting the severity of intracranial atherosclerotic lesions and to explore the correlation between this score and atherosclerotic risk factors as well as stroke events.Methods:This study retrospectively analyzed patients who underwent head and neck computer tomography angiography(CTA)examinations and had head MRI examinations within one month before or after the CTA examination from January 2021 to August 2024 in Beijing Hospital.An intracranial atherosclerosis disease score(ICADS)system was constructed based on the degree and number of vascular stenosis.The relationship between ICADS and atherosclerotic risk factors was explored by grouping patients according to the quartile of ICADS.Patients were divided into acute stroke group and non-acute stroke group to compare differences in ICADS and cerebrovascular disease risk factors between the two groups, and to investigate the correlation between stroke events and ICADS.Results:There were statistically significant differences in the proportions of patients with hypertension and diabetes among different ICADS groups.Multiple linear regression analysis showed that hypertension( B=1.17, 95% CI: 0.20-2.14, P<0.05)and diabetes( B=2.75, 95% CI: 1.85-3.64, P<0.001)were risk factors for higher ICADS.The ICADS was higher in the acute stroke group than in the non-acute stroke group(9 vs.6, P<0.001), and a higher ICADS was identified as a risk factor for stroke( OR=1.10, 95% CI: 1.07-1.14, P<0.001). Conclusions:ICADS can comprehensively reflect the severity of intracranial atherosclerotic lesions and is correlated with stroke events, making it useful for clinical screening of high-risk patients for stroke.

Objective:To evaluate the impact of the surgical strategy of selective thoracic duct(TD) ligation established through fluorescence thoracoscopy TD imaging technology on the occurrence of chylothorax after lung cancer surgery in the elderly.Methods:A prospective cohort study was conducted.Elderly patients who underwent right lung cancer surgery in the Department of Thoracic Surgery of Beijing Hospital from October 2023 to June 2024 were enrolled as the research subjects.The surgical approaches involved pulmonary resection, systematic lymphadenectomy, and selective TD ligation using fluorescence thoracoscopy.Prior to the surgery, 0.4 mg/kg indocyanine green(ICG)was injected subcutaneously into the right inguinal region of all patients.Clinical data, surgical details, pathological information, and intraoperative TD imaging, including the course, collateral vessels, and any injuries, were collected.Postoperative chylothorax and other complications were also recorded.Results:A total of 83 patients were enrolled, of which 38 were males, and 45 were females, with a median age of 68 years raging from 60 to 83 years old, TD imaging was observed in 69 cases(83.1%)within one hour after IGC injection.Intraoperative injuries of collateral branches were visualized in 4 cases(4.8%). Among them, 2 cases had injuries in both the 2R+ 4R and the subcarinal station, while 2 others had injuries of collateral branches only in the 2R+ 4R station.These 4 patients underwent concurrent TD ligation.No TD or collateral injury was found in the remaining patients during the surgery, and the TD was not ligated, none of the patients developed chylothorax postoperatively, and no adverse reactions related to indocyanine green were observed.Conclusions:Fluorescence thoracoscopy-guided TD imaging technique can well visualize TD and its collateral injuries in elderly lung cancer surgeries, assist in the management of leaks or TD ligation, thereby effectively preventing the occurrence of postoperative chylothorax.