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.

By reviewing the ancient and modern literature， the name， origin， scientific name evolution， place of origin， quality， harvesting， processing， efficacy and toxicity of Asteris Radix et Rhizoma（ARR） were systematically sorted out， so as to provide reference for the development and utilization of the relevant famous classical formulas. According to textual research， ARR was first contained in Shennong Bencaojing， all generations are Ziwan for its proper name， and there are still aliases such as Ziyuan， Ziqian and Xiaobianer. Its mainstream origin in successive generations was Aster tataricus， and there are also Ligularia fischeri and others in local area of use. The medicinal parts of ARR are root and rhizome， but in modern times， the rhizome is mostly used for propagation and cultivation， so some of ARR medicinal materials only have the root without the rhizome. The earliest recorded ancient origin of ARR was now Fangxian（Hubei）， Zhengding and Handan（Heibei）， then the range of production areas gradually expanded， the mainstream production areas from the Song dynasty to the Ming and Qing dynasties included Hebei， Jiangsu， Anhui， Henan and other places， since modern times， two major producing areas have been formed in Anguo， Hebei province and Bozhou， Anhui province. From the quality evaluation， it is clear that from ancient times， flexible roots and purple color are the best. The ancient harvesting was mainly in lunar February or March， and then dried in the shade， and the modern harvesting is mostly in spring and autumn， and the roots are braided into pigtails and then dried in the sun or dried in the sun after 1-2 d. The ancient and modern processing method of ARR are basically the same， mainly honey processing， there are still methods of frying， steaming， vinegar sizzling， etc. Based on the results， it is recommended that the dried roots and rhizomes of A. tataricus should be used in clinical and the development of related famous classical formulas， and those whose original formulas specify the processing requirements can be processed according to the relevant requirements， while whose processing requirements are not specified should be used in the form of raw products.

ObjectiveTo investigate the therapeutic effect of Baihe Wuyaotang （BWT） on non-alcoholic fatty liver disease （NAFLD） and elucidate its underlying mechanism. MethodC57BL/6J mice were randomly assigned to six groups： normal control， model， positive drug （pioglitazone hydrochloride 1.95×10^-3 g·kg^-1）， and low-， medium-， and high-dose BWT （1.3，2.5 and 5.1 g·kg^-1）. Following a 12-week high-fat diet （HFD） inducement， the mice underwent six weeks of therapeutic intervention with twice-daily drug administration. Body weight was monitored weekly throughout the treatment period. At the fifth week， glucose tolerance （GTT） and insulin tolerance （ITT） tests were conducted. Subsequently， the mice were euthanized for the collection of liver tissue and serum， and the subcutaneous adipose tissue （iWAT） and epididymal adipose tissue （eWAT） were weighed. Serum levels of total triglycerides （TG） and liver function indicators，such as alanine aminotransferase （ALT） and aspartate aminotransferase （AST）， were determined. Histological examinations， including oil red O staining， hematoxylin-eosin （HE） staining， Masson staining， and transmission electron microscopy， were performed to evaluate hepatic lipid deposition， pathological morphology， and ultrastructural changes， respectively. Meanwhile， Western blot and real-time quantitative polymerase chain reaction （Real-time PCR） were employed to analyze alterations， at both gene and protein levels， the insulin signaling pathway molecules， including insulin receptor substrate 1/2/protein kinase B/forkhead box gene O1 （IRS1/2/Akt/FoxO1）， glycogen synthesis enzymes phosphoenolpyruvate carboxy kinase （Pepck） and glucose-6-phosphatase （G6Pase）， lipid metabolism-related genes stearoyl-coA desaturase-1 （SCD-1） and carnitine palmitoyltransferase-1 （CPT-1）， fibrosis-associated molecules α-smooth muscle actin （α-SMA）， type Ⅰ collagen （CollagenⅠ）， and the fibrosis canonical signaling pathway transforming growth factor-β₁/drosophila mothers against decapentaplegic protein2/3（TGF-β₁/p-Smad/Smad2/3）， inflammatory factors such as interleukin（IL）-6， IL-8， IL-11， and IL-1β， autophagy markers LC3B Ⅱ/Ⅰ and p62/SQSTM1， and the expression of mammalian target of rapamycin （mTOR）. ResultCompared with the model group， BWT reduced the body weight and liver weight of NAFLD mice（P<0.05， P<0.01）， inhibited liver lipid accumulation， and reduced the weight of white fat： it reduced the weight of eWAT and iWAT（P<0.05， P<0.01） as well as the serum TG content（P<0.05， P<0.01）. BWT improved the liver function as reflected by the reduced ALT and AST content（P<0.05， P<0.01）. It improved liver insulin resistance by upregulating IRS2， p-Akt/Akt， p-FoxO1/FoxO1 expressions（P<0.05）. Besides， it improved glucose and lipid metabolism disorders： it reduced fasting blood glucose and postprandial blood glucose（P<0.05， P<0.01）， improved GTT and ITT（P<0.05， P<0.01）， reduced the expression of Pepck， G6Pase， and SCD-1（P<0.01）， and increased the expression of CPT-1（P<0.01）. The expressions of α-SMA， Collagen1， and TGF-β₁ proteins were down-regulated（P<0.05， P<0.01）， while the expression of p-Smad/Smad2/3 was downregulated（P<0.05）， suggesting BWT reduced liver fibrosis. BWT inhibited inflammation-related factors as it reduced the gene expression of IL-6， IL-8， IL-11 and IL-1β（P<0.01） and it enhanced autophagy by upregulating LC3B Ⅱ/Ⅰ expression（P<0.05）while downregulating the expression of p62/SQSTM1 and mTOR（P<0.05）. ConclusionBWT ameliorates NAFLD by multifaceted improvements， including improving IR and glucose and lipid metabolism， anti-inflammation， anti-fibrosis， and enhancing autophagy. In particular， BWT may enhance liver autophagy by inhibiting the mTOR-mediated signaling pathway.

ObjectiveTo identify and analyze the possible influencing factors of obesity among public primary school students in Minhang District， Shanghai. MethodsBasic data， collected through questionnaire stars， was imported with merged physical examination data into Excel to form a database. Data were collected by questionnaire and analyzed by SPSS 22.00. Independent sample t-test was used for the data with normal distribution. Nonparametric test was used for the data with non-normal distribution. χ² test was used for the quantitative data. Logistic regression was used for univariate and multivariate analysis. ResultsAccording to the national physical health standards for students （revised in 2014） ， the prevalence rate of obesity among primary school students in Minhang district was 29.63% . The prevalence of overweight and obesity was 32.1% in boys and 26.9% in girls. The trend of overweight and obesity in different grades was similar among different genders .A single factor analysis showed that， being the only child （χ²=9.300， P<0.01） ， father obesity（χ²=106.417， P<0.001） or mother obesity（χ²=118.534， P<0.001） ， mother's overweight during pregnancy （χ²=159.731， P<0.001） ， caregiver's role as grandparents （χ²=38.736， P<0.001） ， low education level （χ²=111.309， P<0.001） had effects on overweight and obesity of children while the differences had statistical significance. Pupil's bad eating habit （χ²=18.905，P<0.001） and preference （χ²=22.901， P<0.001） ， insufficient sleep time （χ²=61.685， P<0.001） ， long-time using of electronic products （χ²=37.182， P<0.001） and low-time of exercise （χ²=15.328， P<0.001） also affected the obesity of primary school students. Among the five factors of family， diet， psychology， static state and dynamic state， the influencing factors of obesity in primary school students from grade one to grade four were being the only child， obese father and/or mother， overweight mother during pregnancy， caregivers without higher education. In terms of diet， it was mainly based on eating habits before bedtime， as well as partial and picky eating habits. In terms of psychology， the main psychological source was the pressure of learning in school. There was a clear relationship between the pace of learning and not keeping up. Static analysis revealed a correlation with lack of sleep. After assigning values based on eye hygiene recommendations for the use of electronic products， it was found that there was no direct correlation between obesity in primary school students and the duration of electronic product use. Dynamic analysis showed that not taking part in school physical exercise was related to obesity. ConclusionThe obesity of primary school students is influenced by family， diet， psychology， static and dynamic factors. The intervention of obesity in primary school needs the joint efforts of school， society， family， self-cognition and so on.

A polymethionine(p-Met)-modified laser-induced graphene(LIG)electrode was constructed and integrated with portable electrochemical workstations and handheld computer to achieve on-site,simultaneous detection of azo dyes sunset yellow(SY)and tartrazine(Tz)in environmental water.Firstly,the sensor interface with the best electrical conductivity was obtained by optimizing the laser processing parameters,and then the electrochemical responses of SY and Tz were improved by electropolymerization of methionine on the surface of LIG.Finally,a portable electrochemical sensor platform was built by connecting p-Met/LIG,a small electrochemical workstation and a handheld computer application program.Differential pulse voltammetry(DPV)was used to determine these two dyes.SY showed a good linear relationship in the concentration range of 0.2-20 μmol/L and 20-100 μmol/L,the detection limit was as low as 0.001 μmol/L.Tz showed a good linear relationship in concentration range of 0.3-40 μmol/L and 40-100 μmol/L,and the detection limits was as low as 0.005 μmol/L.p-Met/LIG also had excellent anti-interference performance and reproducibility.The portable electrochemical platform was applied to real-time detection of real water samples,and the results showed that the platform was expected to be applied in field detection of SY and Tz in real environmental water bodies.