ObjectiveTo explore the potential mechanisms by which spleen deficiency affects lipid metabolism in hyperlipidemia， from the perspective of gut microbiota and fecal endogenous metabolites. MethodsEighteen Sprague-Dawley （SD） rats were randomly divided into control group， hyperlipidemia group， and spleen-deficiency with hyperlipidemia group， with 6 rats in each group. The control group was fed with standard diet； the hyperlipi-demia group was given high-fat diet to induce hyperlipidemia model； and the spleen-deficiency with hyperlipidemia group received combination of high-fat diet， irregular feeding， and exercise restriction to induce the model. After 12 weeks of modeling， serum lipid levels including total cholesterol （TC）， triglycerides （TG）， low-density lipoprotein cholesterol （LDL-C）， and high-density lipoprotein cholesterol （HDL-C） were measured. 16S rRNA gene sequencing was used to analyze gut microbiota composition in fecal samples， and fecal metabolites were analyzed using high-performance liquid chromatography-mass spectrometry （HPLC-MS）. Differential metabolites and microbial taxa were screened for pathway enrichment and functional prediction analysis， followed by correlation analysis. ResultsCompared with the control group， rats in the hyperlipidemia and spleen-deficiency with hyperlipidemia groups showed significantly increased serum TG， TC， and LDL-C levels， and decreased HDL-C levels （P＜0.01）. Compared with the hyperlipidemia group， the spleen-deficiency with hyperlipidemia group showed further increases in TG， TC， and LDL-C and further decrease in HDL-C （P＜0.05 or P＜0.01）. Gut microbiota analysis revealed 3,066 unique species in the control group， 2,637 in the hyperlipidemia group， and 1,581 in the spleen-deficiency group. Chao1， Simpson， and Shannon indices were significantly reduced in the spleen-deficiency group compared with the hyperli-pidemia group， with an increased Firmicutes/Bacteroidetes ratio. Differentially abundant genera such as Romboutsia， Lactobacillus， Clostridium， Allobaculum， and Xylanibacter were significantly upregulated （P＜0.05 or P＜0.01）. Metabolomics identified 25 differential metabolites in feces of spleen-deficient rats， with 18 downregulated and 7 upregulated. Key enriched pathways included serotonergic synapse， nucleotide metabolism， vascular smooth muscle contraction， and arachidonic acid metabolism. Spearman correlation analysis showed significant positive correlations between Romboutsia and Desulfovibrio and metabolites such as digalactosyldiacylglycerol （48∶5）， dehydrated artemetin， lysophosphatidylcholine （26∶4）， and glucuronosyldiacylglycerol （46∶5）； Clostridium was positively correlated with cyclopassifloric acid E1， digalactosyldiacylglycerol （48∶5）， and lysophosphatidylcholine （26∶4）； Xylanibacter was positively correlated with digalactosyldiacylglycerol （48∶5）， dehydrated artemetin， and lysophosphatidylcholine （26∶4）. ConclusionSpleen deficiency can further alter gut microbiota composition in hyperlipi-demia model rats， leading to microbial dysbiosis and metabolic disturbances that aggravate lipid metabolism disorders. This mechanism may be associated with changes in pathways such as serotonergic synapse， nucleotide metabolism， vascular smooth muscle contraction， and arachidonic acid metabolism.

Membrane proteins are integral components of cellular membranes, accounting for approximately 30% of the mammalian proteome and serving as targets for 60% of FDA-approved drugs. They are critical to both physiological functions and disease mechanisms. Their functional protein-protein interactions form the basis for many physiological processes, such as signal transduction, material transport, and cell communication. Membrane protein interactions are characterized by membrane environment dependence, spatial asymmetry, weak interaction strength, high dynamics, and a variety of interaction sites. Therefore, in situ analysis is essential for revealing the structural basis and kinetics of these proteins. This paper introduces currently available in situ analytical techniques for studying membrane protein interactions and evaluates the characteristics of each. These techniques are divided into two categories: label-based techniques (e.g., co-immunoprecipitation, proximity ligation assay, bimolecular fluorescence complementation, resonance energy transfer, and proximity labeling) and label-free techniques (e.g., cryo-electron tomography, in situ cross-linking mass spectrometry, Raman spectroscopy, electron paramagnetic resonance, nuclear magnetic resonance, and structure prediction tools). Each technique is critically assessed in terms of its historical development, strengths, and limitations. Based on the authors’ relevant research, the paper further discusses the key issues and trends in the application of these techniques, providing valuable references for the field of membrane protein research. Label-based techniques rely on molecular tags or antibodies to detect proximity or interactions, offering high specificity and adaptability for dynamic studies. For instance, proximity ligation assay combines the specificity of antibodies with the sensitivity of PCR amplification, while proximity labeling enables spatial mapping of interactomes. Conversely, label-free techniques, such as cryo-electron tomography, provide near-native structural insights, and Raman spectroscopy directly probes molecular interactions without perturbing the membrane environment. Despite advancements, these methods face several universal challenges: (1) indirect detection, relying on proximity or tagged proxies rather than direct interaction measurement; (2) limited capacity for continuous dynamic monitoring in live cells; and (3) potential artificial influences introduced by labeling or sample preparation, which may alter native conformations. Emerging trends emphasize the multimodal integration of complementary techniques to overcome individual limitations. For example, combining in situ cross-linking mass spectrometry with proximity labeling enhances both spatial resolution and interaction coverage, enabling high-throughput subcellular interactome mapping. Similarly, coupling fluorescence resonance energy transfer with nuclear magnetic resonance and artificial intelligence (AI) simulations integrates dynamic structural data, atomic-level details, and predictive modeling for holistic insights. Advances in AI, exemplified by AlphaFold’s ability to predict interaction interfaces, further augment experimental data, accelerating structure-function analyses. Future developments in cryo-electron microscopy, super-resolution imaging, and machine learning are poised to refine spatiotemporal resolution and scalability. In conclusion, in situ analysis of membrane protein interactions remains indispensable for deciphering their roles in health and disease. While current technologies have significantly advanced our understanding, persistent gaps highlight the need for innovative, integrative approaches. By synergizing experimental and computational tools, researchers can achieve multiscale, real-time, and perturbation-free analyses, ultimately unraveling the dynamic complexity of membrane protein networks and driving therapeutic discovery.

Central retinal vein occlusion(CRVO)is a retinal vascular disorder that significantly impairs vision, with its underlying mechanisms involving complex interactions across multiple biological systems. This article provides a systematic review of the pathological mechanisms associated with CRVO, emphasizing critical factors such as endothelial dysfunction, arteriosclerosis, thrombophilia, inflammation, and oxidative stress. The pathological mechanisms of CRVO are characterized by arteriosclerosis, which obstructs venous return through a dual mechanism involving mechanical compression and endothelin-1-mediated contraction; endothelial dysfunction, which exacerbates disturbances in blood flow; genetic and acquired coagulation abnormalities that disrupt hemostatic balance and promote thrombosis; and the synergistic effects of inflammation and oxidative stress that activate cytokines, thereby aggravating ischemia and vascular leakage. Innovatively, this review explores emerging mechanisms such as miRNA-mediated vascular regulation via exosomes, gut microbiota-retina crosstalk through the “gut-eye axis,” and systemic metabolic interactions that link local retinal lesions to broader dysregulation of CRVO. These insights underscore the importance of integrated eye-system interventions and provide a theoretical foundation for advancing early biomarker discovery, multitarget therapeutics, and personalized treatment paradigms. By bridging localized pathology and systemic mechanisms, this work promotes a transformative shift toward an integrative medicine model in the diagnosis and management of CRVO.

Lung cancer is the most common malignant tumor worldwide, ranking first in both incidence and mortality rates. According to the latest statistics from the International Agency for Research on Cancer (IARC), approximately 2.5 million new cases and around 1.8 million deaths from lung cancer occurred in 2022, placing a tremendous burden on global healthcare systems. The high mortality rate of lung cancer is closely linked to its subtle early symptoms, which often lead to diagnosis at advanced stages. This not only complicates treatment but also results in substantial economic losses. Current treatment options for lung cancer include surgery, radiotherapy, chemotherapy, targeted drug therapy, and immunotherapy. Among these, immunotherapy has emerged as the most groundbreaking advancement in recent years, owing to its unique antitumor mechanisms and impressive clinical benefits. Unlike traditional therapies such as radiotherapy and chemotherapy, immunotherapy activates or enhances the patient’s immune system to recognize and eliminate tumor cells. It offers advantages such as more durable therapeutic effects and relatively fewer toxic side effects. The main approaches to lung cancer immunotherapy include immune checkpoint inhibitors, tumor-specific antigen-targeted therapies, adoptive cell therapies, cancer vaccines, and oncolytic virus therapies. Among these, immune checkpoint inhibitors and tumor-specific antigen-targeted therapies have received approval from the U.S. Food and Drug Administration (FDA) for clinical use in lung cancer, significantly improving outcomes for patients with advanced non-small cell lung cancer. Although other immunotherapy strategies are still in clinical trials, they show great potential in improving treatment precision and efficacy. This article systematically reviews the latest research progress in lung cancer immunotherapy, including the development of novel immune checkpoint molecules, optimization of treatment strategies, identification of predictive biomarkers, and findings from recent clinical trials. It also discusses the current challenges in the field and outlines future directions, such as the development of next-generation immunotherapeutic agents, exploration of more effective combination regimens, and the establishment of precise efficacy prediction systems. The aim is to provide a valuable reference for the continued advancement of lung cancer immunotherapy.

Compared to traditional suturing, lung stapling using automatic staplers offers advantages such as smaller trauma, faster wound healing, ease of operation, and lower complication rates, making it widely used in clinical practice. However, there are significant differences in bronchial tissue thickness at different anatomical locations, and the market is flooded with various types of staplers. Currently, there is a lack of recommended stapling schemes for bronchial staplers at different anatomical locations. This article reviews the development and application of automatic staplers and summarizes some types of staplers that are currently used in clinical practice, with the aim of promoting the formation of individualized stapler selection protocols for minimally invasive thoracic surgery based on the Chinese population.

ObjectiveAs the central hub of the classical visual pathway, the primary visual cortex not only encodes and processes visual information but also establishes dense neural circuit connections with higher-order cognitive brain regions. Numerous studies have shown that 40 Hz flicker stimulation can induce γ oscillations in the brain and significantly improve learning and cognitive impairments in patients with neurodegenerative diseases. Moreover, flickering light phenomena naturally occur in daily environments. Given that the primary visual cortex serves as the brain’s first cortical hub for receiving visual input, it is essential to comprehensively understand how non-invasive light flicker stimulation modulates its information processing mechanisms. This study systematically investigates the effects of non-invasive light flicker stimulation at different frequencies on the functional properties of neurons in the primary visual cortex of adult mice, aiming to uncover how such stimulation modulates this region and, consequently, affects overall brain function. MethodsThree groups of adult mice (approximately 12 weeks old) were exposed to light flicker stimulation at frequencies of 20 Hz, 40 Hz, and 60 Hz, respectively, for a duration of two months. A control group was exposed to the same light intensity without flickering. Following the stimulation period, in vivo multi-channel electrophysiological recordings were conducted. During these recordings, anesthetized mice were presented with various types of moving sinusoidal light gratings to assess the effects of different flicker frequencies on the functional properties of neurons in the primary visual cortex. ResultsThe experimental results demonstrate that two months of light flicker stimulation at 20 Hz, 40 Hz, and 60 Hz enhances the orientation tuning capabilities of neurons in the primary visual cortex. Specifically, 40 Hz and 60 Hz stimulation improved contrast sensitivity, whereas 20 Hz had no significant effect. Further analysis revealed that all three frequencies reduced neuronal response variability (as measured by the Fano factor), increased the signal-to-noise ratio, and decreased noise correlation (r_sc) between neurons. ConclusionNon-invasive light flicker stimulation enhances orientation tuning (e.g., orientation bias index) and contrast sensitivity (e.g., contrast threshold and C₅₀) in neurons of the primary visual cortex. This enhancement is likely due to improved information processing efficiency, characterized by reduced neuronal variability and increased signal-to-noise ratio. These findings suggest that the primary visual cortex can achieve precise and efficient information encoding in complex lighting environments by selectively adapting to different flicker frequencies and optimizing receptive field properties. This study provides new experimental evidence on how various types of light flicker influence visual perception and offers insights into the mechanisms through which specific frequencies enhance brain function.

BACKGROUND: Immune checkpoint inhibitors (ICIs) have been included in various neoadjuvant therapy (NAT) regimens for non-small cell lung cancer (NSCLC). However, due to the relatively short period for the use of ICIs in NAT, patients' clinical outcomes with different regimens are uncertain. Our study aims to examine the efficacy of neoadjuvant immunotherapy (NAIT) for NSCLC patients and compare the overall survival (OS) and event-free survival (EFS) of patients receiving different NAT regimens. METHODS: This study retrospectively included 308 NSCLC patients treated with different NAT regimens and subsequent surgery in National Cancer Center between August 1, 2016 and July 31, 2022. Kaplan-Meier survival analysis and Cox proportional hazards regression analysis were conducted to evaluate the prognosis of patients. RESULTS: With a median follow-up of 27.5 months, the 1-year OS rates were 98.8% and 96.2%, and the 2-year OS rates were 96.6% and 85.8% in patients of the NAIT and neoadjuvant chemotherapy (NACT) group, respectively (hazard ratio [HR], 0.339; 95% confidence interval [CI], 0.160-0.720; P = 0.003). The 1-year EFS rates were 96.0% and 88.0%, and the 2-year EFS rates were 92.0% and 77.7% for patients in the NAIT and NACT groups, respectively (HR, 0.438; 95% CI, 0.276-0.846; P = 0.010). For patients who did not achieve pathological complete response (pCR), significantly longer OS ( P = 0.012) and EFS ( P = 0.019) were observed in patients receiving NAIT than those receiving NACT. Different NAT regimens had little effect on surgery and the postoperative length of stay (6 [4, 7] days vs . 6 [4, 7] days, Z = -0.227, P = 0.820). CONCLUSIONS NAIT exhibited superior efficacy to NACT for NSCLC, resulting in longer OS and EFS. The OS and EFS benefits were also observed among patients in the NAIT group who did not achieve pCR.
Humans ; Carcinoma, Non-Small-Cell Lung/mortality* ; Male ; Female ; Lung Neoplasms/mortality* ; Middle Aged ; Immune Checkpoint Inhibitors/therapeutic use* ; Neoadjuvant Therapy/methods* ; Retrospective Studies ; Aged ; Adult ; Kaplan-Meier Estimate ; Treatment Outcome ; Immunotherapy/methods*

Cold has been a long-term survival challenge in the evolutionary process of mammals. In response to cold stress, in addition to brown adipose tissue (BAT) dissipating energy as heat through glucose and lipid oxidation to maintain body temperature, cold stimulation can strongly activate thermogenesis and energy expenditure in beige fat cells, which are widely distributed in the subcutaneous layer. However, the effects of cold stimulation on other tissues and systemic lipid metabolism remain unclear. Our previous research indicated that, under cold stress, BAT not only produces heat but also secretes numerous exosomes to mediate BAT-liver crosstalk. Whether subcutaneous fat has a similar mechanism is still unknown. Therefore, this study aimed to investigate the alterations in lipid metabolism across various tissues under cold exposure and to explore whether subcutaneous fat regulates systemic glucose and lipid metabolism via exosomes, thereby elucidating the regulatory mechanisms of lipid metabolism homeostasis under physiological stress. RT-qPCR, Western blot, and H&E staining methods were used to investigate the physiological changes in lipid metabolism in the serum, liver, epididymal white adipose tissue, and subcutaneous fat of mice under cold stimulation. The results revealed that cold exposure significantly enhanced the thermogenic activity of subcutaneous adipose tissue and markedly increased exosome secretion. These exosomes were efficiently taken up by hepatocytes, where they profoundly influenced hepatic lipid metabolism, as evidenced by alterations in the expression levels of key genes involved in lipid synthesis and catabolism pathways. This study has unveiled a novel mechanism by which subcutaneous fat regulates lipid metabolism through exosome secretion under cold stimulation, providing new insights into the systemic regulatory role of beige adipocytes under cold stress and offering a theoretical basis for the development of new therapeutic strategies for obesity and metabolic diseases.
Animals ; Lipid Metabolism/physiology* ; Mice ; Exosomes/metabolism* ; Cold Temperature ; Subcutaneous Fat/physiology* ; Thermogenesis/physiology* ; Adipose Tissue, Brown/metabolism* ; Male

The development of bone in human body and the maintenance of bone mass in adulthood are regulated by a variety of biological factors. Myocyte enhancer factor 2C (MEF2C), as one of the many factors regulating bone tissue development and balance, has been shown to play a key role in bone development and metabolism. However, there is limited systematic analysis on the effects of MEF2C on bone tissue. This article reviews the role of MEF2C in bone development and metabolism. During bone development, MEF2C promotes the development of neural crest cells (NC) into craniofacial cartilage and directly promotes cartilage hypertrophy. In terms of bone metabolism, MEF2C exhibits a differentiated regulatory model across different types of osteocytes, demonstrating both promoting and other potential regulatory effects on bone formation, with its stimulating effect on osteoclasts being determined. In view of the complex roles of MEF2C in bone tissue, this paper also discusses its effects on some bone diseases, providing valuable insights for the physiological study of bone tissue and strategies for the prevention of bone diseases.
Humans ; MEF2 Transcription Factors/physiology* ; Bone and Bones/metabolism* ; Animals ; Bone Development/physiology* ; Osteogenesis/physiology* ; Myogenic Regulatory Factors/physiology*