Chronic heart failure （CHF） is the final stage of cardiovascular diseases. It is a complex syndrome， with dyspnea and edema as the main clinical manifestations， and it is characterized by complex disease conditions， difficult cure， and high mortality. Ferroptosis， a new type of programmed cell death， is different from other types of programmed cell death. Ferroptosis is iron-dependent， accompanied by lipid peroxide accumulation and mitochondrial shrinkage， becoming a hot research topic. Studies have confirmed that ferroptosis plays a key role in the occurrence and development of CHF. The regulation of ferroptosis may become a potential target for the treatment of CHF in the future. The theory of Qi deficiency and stagnation refers to the pathological state of original Qi deficiency and abnormal transportation and distribution of Qi， blood， and body fluid， which has guiding significance for revealing the pathogenesis evolution of some chronic diseases. We believe that Qi deficiency and stagnation is a summary of the pathogenesis of ferroptosis in CHF. Deficiency of Qi （heart Qi） is the root cause of CHF， and stagnation （phlegm turbidity and blood stasis） is the branch of this disease. The two influence each other in a vicious circle to promote the development of this disease. Traditional Chinese medicine （TCM） plays an important role in the treatment of CHF， improving the prognosis and quality of life of CHF patients. This paper explores the correlation between the theory of Qi deficiency and stagnation and the mechanism of ferroptosis in CHF. Furthermore， this paper reviews the mechanism of Chinese medicines and compound prescriptions in preventing and treating CHF by regulating ferroptosis according to the principles of replenishing Qi and dredging to remove stagnation， aiming to provide new ideas and methods for the treatment of CHF with TCM.

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.

Methods: This retrospective study analyzed 32 consecutive IDS patients who underwent UEDD surgery. Clinical features, laboratory data (erythrocyte sedimentation rate and C-reactive protein), and treatment outcomes were analyzed. Results: Definite microorganisms were identified in 27 patients (84.3%), with 24 (88.9%) meeting cure criteria. The cure rate was significantly higher in the detected pathogen group compared to the undetected pathogen group (88.9% vs. 80%; χ²=19.36, p<0.0001). Metagenomic next generation sequencing (mNGS) provided faster diagnosis (41.72±6.81 hours) compared to tissue culture (95.74±35.47 hours, p<0.05). The predominant causative pathogen was Mycobacterium tuberculosis, followed by Staphylococcus aureus. Significant improvements were observed in Visual Analog Scale pain scores, from a mean of 7.9 preoperatively to 1.06 at 1 year postoperatively. The Oswestry Disability Index revealed a similar trend, showing significant improvement (p<0.05). Conclusions UEDD is a viable alternative to traditional open surgery for managing IDS in high-risk patients. UEDD offers a dual therapeutic-diagnostic advantage during the initial admission phase, enabling simultaneous debridement, neurological decompression, and targeted biopsy in a single intervention. Compared with traditional tissue culture, mNGS enables rapid microbiological diagnosis and extensive pathogen coverage.

Methods: This retrospective study analyzed 32 consecutive IDS patients who underwent UEDD surgery. Clinical features, laboratory data (erythrocyte sedimentation rate and C-reactive protein), and treatment outcomes were analyzed. Results: Definite microorganisms were identified in 27 patients (84.3%), with 24 (88.9%) meeting cure criteria. The cure rate was significantly higher in the detected pathogen group compared to the undetected pathogen group (88.9% vs. 80%; χ²=19.36, p<0.0001). Metagenomic next generation sequencing (mNGS) provided faster diagnosis (41.72±6.81 hours) compared to tissue culture (95.74±35.47 hours, p<0.05). The predominant causative pathogen was Mycobacterium tuberculosis, followed by Staphylococcus aureus. Significant improvements were observed in Visual Analog Scale pain scores, from a mean of 7.9 preoperatively to 1.06 at 1 year postoperatively. The Oswestry Disability Index revealed a similar trend, showing significant improvement (p<0.05). Conclusions UEDD is a viable alternative to traditional open surgery for managing IDS in high-risk patients. UEDD offers a dual therapeutic-diagnostic advantage during the initial admission phase, enabling simultaneous debridement, neurological decompression, and targeted biopsy in a single intervention. Compared with traditional tissue culture, mNGS enables rapid microbiological diagnosis and extensive pathogen coverage.

Methods: This retrospective study analyzed 32 consecutive IDS patients who underwent UEDD surgery. Clinical features, laboratory data (erythrocyte sedimentation rate and C-reactive protein), and treatment outcomes were analyzed. Results: Definite microorganisms were identified in 27 patients (84.3%), with 24 (88.9%) meeting cure criteria. The cure rate was significantly higher in the detected pathogen group compared to the undetected pathogen group (88.9% vs. 80%; χ²=19.36, p<0.0001). Metagenomic next generation sequencing (mNGS) provided faster diagnosis (41.72±6.81 hours) compared to tissue culture (95.74±35.47 hours, p<0.05). The predominant causative pathogen was Mycobacterium tuberculosis, followed by Staphylococcus aureus. Significant improvements were observed in Visual Analog Scale pain scores, from a mean of 7.9 preoperatively to 1.06 at 1 year postoperatively. The Oswestry Disability Index revealed a similar trend, showing significant improvement (p<0.05). Conclusions UEDD is a viable alternative to traditional open surgery for managing IDS in high-risk patients. UEDD offers a dual therapeutic-diagnostic advantage during the initial admission phase, enabling simultaneous debridement, neurological decompression, and targeted biopsy in a single intervention. Compared with traditional tissue culture, mNGS enables rapid microbiological diagnosis and extensive pathogen coverage.

ObjectiveThis study aims to explore the mechanism of action of Huangqi Guizhi Wuwutang in treating rheumatoid arthritis （RA）-associated sarcopenia by regulating autophagy and improving skeletal muscle homeostasis based on network pharmacology，bioinformatics，machine learning，and animal experiments. MethodsActive ingredients and targets of Huangqi Guizhi Wuwutang were screened using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP），PubChem，and SwissTargetPrediction databases. RA-related datasets were retrieved from the GEO database，and differential genes were screened. Sarcopenia-related targets were searched through GeneCards and the Comparative Toxicology Database （CTD），and autophagy-related gene sets were downloaded from the Human Autophagy Database （HADb）. Their intersection was analyzed to identify autophagy-related therapeutic targets，followed by enrichment analysis. A protein-protein interaction （PPI） network was constructed using the STRING database，and key targets were selected using multiple methods. Machine learning was applied to predict models based on the expression profiles of intersecting targets，and nomogram models were constructed based on key targets. Molecular docking of the top four active ingredients with key targets was performed using AutoDockVina. A collagen-induced arthritis （CIA） rat model was established using bovine type Ⅱ collagen，with SD rats divided into groups including a blank group，a model group，and low-，medium-，and high-dose groups of Huangqi Guizhi Wuwutang （2.44，4.88，and 9.76 g·kg^-1） and administered for five consecutive weeks. Joint scores and gastrocnemius muscle mass were recorded and analyzed after modeling. Hematoxylin and eosin （HE） staining and Masson's staining were used to observe pathological changes in muscle tissue. Immunofluorescence staining was applied to observe the protein expression levels of myosin heavy chain （MYHC） and insulin-like growth factor-1 （IGF-1） in skeletal muscle. Western blot was used to detect the protein expression levels of autophagy-related proteins ATG5，Beclin1，LC3B，muscle-specific proteins （MuRF1），MaFbx，and MYHC. Real-time quantitative reverse transcription PCR （Real-time PCR） was performed to measure the mRNA expression levels of ATG5，Beclin1，LC3B，MuRF1，MaFbx，and MYHC in muscle tissue. ResultsNetwork pharmacology revealed that Huangqi Guizhi Wuwutang shared 25 common targets with autophagy genes related to RA-associated sarcopenia. The PPI network and machine learning identified six key targets，which were primarily involved in autophagy and inflammatory pathways. Animal experiments showed that compared to the blank group，the model group had significantly higher joint scores （P<0.01） and lower gastrocnemius muscle index （P<0.01）. HE staining indicated a significant reduction in the cross-sectional area of gastrocnemius muscle fibers，with notable inflammatory cell infiltration and muscle atrophy in the model group. Masson's staining revealed obvious collagen fiber proliferation and deposition，with significant muscle fibrosis in the model group. The protein and mRNA expression levels of ATG5，Beclin1，LC3B，MuRF1，and MaFbx were significantly increased （P<0.01），while the protein expression of MYHC and IGF1 was significantly downregulated （P<0.01）. Compared with the model group，the high-dose group of Huangqi Guizhi Wuwutang showed significantly reduced protein and mRNA expression levels of ATG5，Beclin1，LC3B，MuRF1，and MaFbx （P<0.01） and increased protein expression levels of MYHC and IGF1 （P<0.01）. The cross-sectional area of muscle fibers increased，and the muscle cell morphology approached normal. Moreover，pathological abnormalities in the gastrocnemius muscle were significantly improved，with reduced collagen fiber proliferation （P<0.01）. ConclusionHuangqi Guizhi Wuwutang can mediate autophagy by regulating the expression of ATG5，Beclin1，LC3B，and IGF1，thereby reducing skeletal muscle catabolism and improving skeletal muscle homeostasis，which contributes to the treatment of RA-associated sarcopenia. The findings provide insight into the mechanisms underlying the effects of Huangqi Guizhi Wuwutang in the treatment of RA-related sarcopenia and offer a reference for its enhanced clinical application.

Objective: To explore the association between physical activity and sleep quality among middle school students, so as to provide reference for adolescent sleep improvement. Methods: From September to December 2023, 5 713 middle school students aged 13-18 years were selected from Shanghai, Suzhou, Taiyuan, Wuyuan, Xingyi and Urumqi by stratified cluster random sampling method. Pittsburgh Sleep Quality Index (PSQI) and Evaluation of Physical Activity Levels of Children and Adolescents Aged 7-18 Years were used to investigate and evaluate sleep quality and physical activity. Comparisons between groups were made using the t-test, Mann-Whitney U-test, and associations between physical activity and sleep quality of middle school students were analyzed using Spearman correlation and linear regression methods. Results: The total PSQI scores were 4.0(2.0,6.0) and 5.0 (3.0,6.0) for boys and girls, respectively, with significant sex difference ( Z =-10.90, P <0.01); light physical activity(LPA) and moderate to vigorous physical activity(MVPA) of boys were 18.57 (2.86, 42.86) and 68.57 (35.71, 119.18)min, and girls were 14.29 (0.00, 30.00) and 55.71 (31.43, 92.86)min respectively, and the differences were statistically significant ( Z =3.65, -8.65 , P <0.01). The results of Spearman correlation regression showed that adolescents MVPA was negatively correlated with the total PSQI score ( r =-0.04, P <0.01). After controlling for variables such as mental health, nutritional status and maximum oxygen uptake, the results of linear regression analysis showed that PSQI total score negatively predicted MVPA among middle school students ( B =-4.76, 95% CI =-7.16 to -2.36, P <0.05). Conclusion The longer the duration of physical activity among middle school students, the better the quality of sleep.

Aromatherapy refers to the method of using the aromatic components of plants in appropriate forms to act on the entire body or a specific area to prevent and treat diseases. Essential oils used in aromatherapy are hydrophobic liquids containing volatile aromatic molecules， such as limonene， linalool， linalool acetate， geraniol， and citronellol. These chemicals have been extensively studied and shown to have a variety of functions， including reducing anxiety， relieving depression， promoting sleep， and providing pain relief. Terpenoids are a class of organic molecules with relatively low lipid solubility. After being inhaled， they can pass through the nasal mucosa for transfer or penetrate the skin and enter the bloodstream upon local application. Some of these substances also have the ability to cross the blood-brain barrier， thereby exerting effects on the central nervous system. Currently， the academic community generally agrees that products such as essential oils and aromatherapy from aromatic plants have certain health benefits. However， the process of extracting a single component from it and successfully developing it into a drug still faces many challenges. Its safety and efficacy still need to be further verified through more rigorous and systematic experiments. This article systematically elaborated on the efficacy of aromatic substances， including plant extracts and natural small molecule compounds， in antibacterial and antiviral fields and the regulation of nervous system activity. As a result， a deeper understanding of aromatherapy was achieved. At the same time， the potential of these aromatic substances for drug development was thoroughly explored， providing important references and insights for possible future drug research and application.

ObjectiveTo observe and compare the electrocardiogram index， myocardial morphology， and connexin 43 （Cx43） expression of two rat models of acute cerebral infarction （ACI） due to stasis combined with toxin complicated with cerebral-cardiac syndrome （CCS）， and to provide experimental evidence for the research on the occurrence mechanism of cardiac diseases induced by ACI and the clinical diagnosis and treatment of CCS. MethodSixty SPF-grade male SD rats were randomized into six groups （n=10）： normal ， syndrome of stasis combined with toxin induced by carrageenin combined with dry yeast （CA/Y）， multi-infarct induced by micro-embolism （ME）， middle cerebral artery occlusion （MCAO）， CA/Y+ME， and CA/Y+MCAO groups. The model of syndrome of stasis combined with toxin was established by intraperitoneal injection with carrageenan （CA） at 10 mg·kg^-1 on the first day and subcutaneous injection with dry yeast （Y） suspension （2 mg·kg^-1） on the second day of modeling. Twenty-four hours after the modeling of ACI， the electrocardiograms （ECGs） of rats in each group were collected and the number/percentage （%） of abnormal ECG was calculated. The infarct area of the brain was evaluated by 2，3，5-triphenyltetrazolium chloride （TTC） staining， and myocardial injury was assessed by hematoxylin-eosin （HE） staining. Immumohistochemical staining and Western blot were employed to determine the expression of Cx43 in the myocardium. ResultA certain number of rats in each model group presented abnormal ECG. Compared with the normal group and CA/Y group， CA/Y+MCAO group had the highest rate of abnormal ECG （P<0.01）. Compared with the normal， CA/Y， ME， and CA/Y+ME groups， the CA/Y+ME and CA/Y+MCAO groups showed decreased amplitudes of P-wave and T-wave， shortened P-R interval， and extended Q-T interval， which were particularly obvious in the CA/Y+MCAO group （P<0.05， P<0.01） and in accordance with the cerebral infarction area and pathological changes. The expression of Cx43 was up-regulated in both CA/Y+ME and CA/Y+MCAO groups， especially in the CA/Y+MCAO group （P<0.01）. ConclusionThe two rat models of ACI due to stasis combined with toxin complicated with CCS can be used to study the mechanism of heart diseases caused by cerebrovascular diseases and the therapeutic effects of Chinese medicines with the functions of resolving stasis and detoxifying. Moreover， the CA/Y+MCAO method has higher abnormal electrocardiogram rate， severer myocardial pathological injury， and higher expression of Cx43 protein. The models can be chosen according to specific experimental purpose.

Traditional Chinese medicine can regulate the hypoxia-inducible factor-1α(HIF-1α)signalling pathway and slow down tumour progression mainly by inhibiting tumour angiogenesis,glycolysis,epithelial mesenchymal transition and other pathological processes.This paper,starting from HIF-1α and related factors,reviews its pathological mechanism in tumours and the research of traditional Chinese medicine interventions with the aim of providing theoretical references for the treatment of tumours with traditional Chinese medicine.