ObjectiveThe controllability changes of structural brain network were explored based on the control and brain network theory in young smokers, this may reveal that the controllability indicators can serve as a powerful factor to predict the sleep status in young smokers. MethodsFifty young smokers and 51 healthy controls from Inner Mongolia University of Science and Technology were enrolled. Diffusion tensor imaging (DTI) was used to construct structural brain network based on fractional anisotropy (FA) weight matrix. According to the control and brain network theory, the average controllability and the modal controllability were calculated. Two-sample t-test was used to compare the differences between the groups and Pearson correlation analysis to examine the correlation between significant average controllability and modal controllability with Fagerström Test of Nicotine Dependence (FTND) in young smokers. The nodes with the controllability score in the top 10% were selected as the super-controllers. Finally, we used BP neural network to predict the Pittsburgh Sleep Quality Index (PSQI) in young smokers. ResultsThe average controllability of dorsolateral superior frontal gyrus, supplementary motor area, lenticular nucleus putamen, and lenticular nucleus pallidum, and the modal controllability of orbital inferior frontal gyrus, supplementary motor area, gyrus rectus, and posterior cingulate gyrus in the young smokers’ group, were all significantly different from those of the healthy controls group (P<0.05). The average controllability of the right supplementary motor area (SMA.R) in the young smokers group was positively correlated with FTND (r=0.393 0, P=0.004 8), while modal controllability was negatively correlated with FTND (r=-0.330 1, P=0.019 2). ConclusionThe controllability of structural brain network in young smokers is abnormal. which may serve as an indicator to predict sleep condition. It may provide the imaging evidence for evaluating the cognitive function impairment in young smokers.

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.

Objective To establish a rapid screening and analysis method for etomidate and its ana-logues using a portable mass spectrometer equipped with a thermal desorption-atmospheric pressure chemical ionization source-linear ion trap.Methods A 10 μL aliquot of a standard solution at a con-centration of 1 μg/mL was taken,and after the solvent evaporated,the sample was inserted into the in-let of the portable mass spectrometer for detection.By adjusting the collision-induced dissociation pa-rameters,the molecular ion peak and fragment ion peak information of the standard were obtained and used to establish a reference database.In addition,the method was applied to 29 seized liquid and plant samples.Results A screening system for etomidate and its analogues was established based on the portable mass spectrometer and the corresponding mass spectrometry library.The system enables qualitative screening analysis by identifying primary protonated molecular ions and secondary product ions of etomidate and its analogues.The limits of detection for etomidate and its 12 analogues ranged from 0.1 to 10 μg/mL.Etomidate and its analogues were detected in all 29 liquid and plant samples.However,this method could not distinguish between isomeric imidazole esters,such as isopropoxate and propoxate.Additionally,when testing 2-SH-etomidate,there was a false positive for the detection of etomidate.Conclusion This study established a rapid screening method for etomidate and its ana-logues using a portable mass spectrometer.The method combines the high sensitivity of mass spectrome-try with the on-site applicability of portable devices,significantly improving detection efficiency and meeting the on-site detection needs of etomidate and its analogues.

Bacillus mycoides JA20-1 was screened and identified as a biocontrol bacterium with a high capacity for producing volatile organic compounds(VOCs) in the laboratory. This strain had significant inhibitory effects on various postharvest disease pathogens in crops, such as Botrytis cinerea, as well as soil-borne disease pathogens in ginseng, such as Sclerotinia ginseng. In order to accelerate its industrialization process, in this study, single-factor experiments and response surface optimization methods were used. The fermentation medium and fermentation conditions in the shake flask of strain JA20-1 were systematically optimized by using cell production volume as the response variable. Meanwhile, the biocontrol effect of JA20-1 on B. cinerea of ginseng during the storage period was evaluated by using the method of fumigation in a dry dish in vitro. The results indicated that the optimal fermentation medium formulation for strain JA20-1 was as follows: 1% yeast paste, 1% soluble starch, 0.25% K_2HPO_4·3H_2O, and 0.2% NaCl. The optimal fermentation conditions in the shake flask were vaccination size of 3%, culture volume of 50 mL in a 250 mL Erlenmeyer flask, pH of 6.2, fermentation temperature of 34 ℃, shaking speed of 180 r·min~(-1), and incubation time of 18 hours. The bacteria count in the fermentation broth under these conditions reached 2.17 × 10~8 CFU·mL~(-1), which was 6.58 times higher than before. The average control efficacy of the fermentation broth on Botrytis cinerea of ginseng under in vitro fumigation reached 61.70% and 84.04% respectively, when 20 mL and 30 mL per dish were used. The research provided theoretical support and technical foundation for the development and utilization of Bacillus mycoides JA20-1 and the biocontrol of soil-borne diseases in ginseng and postharvest diseases in crops.
Botrytis/drug effects* ; Fermentation ; Panax/microbiology* ; Plant Diseases/prevention & control* ; Volatile Organic Compounds/metabolism* ; Bacillus/physiology* ; Pest Control, Biological/methods* ; Biological Control Agents/metabolism* ; Culture Media/chemistry*

In recent years, the reform of the registration, evaluation, and approval system for traditional Chinese medicine(TCM) has been promoted at the national level, with establishment of an evaluation evidence system for TCM registration that combines TCM theory, human use experience, and clinical trials(known as the "three-combined" evaluation evidence system). This system, which aligns with the characteristics of TCM clinical practice and the laws of TCM research and development, recognizes the unique value of human use experience in medicine and returns to the essence of medicine as an applied science, thus receiving widespread recognition from both academia and industry. However, it meanwhile poses new and higher challenges. This article delves into the value and challenges faced by the "three-combined" evaluation evidence system from three perspectives: registration management, medical institutions, and the TCM industry. Furthermore, it discusses how the China Association of Chinese Medicine, leveraging its academic platform advantages and leading roles, has made exploratory and practical efforts to facilitate the research and development of new TCM drugs and the implementation of the "three-combined" evaluation evidence system.
Drugs, Chinese Herbal/standards* ; Humans ; Medicine, Chinese Traditional/standards* ; China ; Drug Development

This study aims to explore the mechanism of lung and gut protection by Tanreqing Capsules on the mice infected with influenza virus based on "the lung-gut axis". A total of 110 C57BL/6J mice were randomized into control group, model group, oseltamivir group, and low-and high-dose Tanreqing Capsules groups. Ten mice in each group underwent body weight protection experiments, and the remaining 12 mice underwent experiments for mechanism exploration. Mice were infected with influenza virus A/Puerto Rico/08/1934(PR8) via nasal inhalation for the modeling. The lung tissue was collected on day 3 after gavage, and the lung tissue, colon tissue, and feces were collected on day 7 after gavage for subsequent testing. The results showed that Tanreqing Capsules alleviated the body weight reduction and increased the survival rate caused by PR8 infection. Compared with model group, Tanreqing Capsules can alleviate the lung injury by reducing the lung index, alleviating inflammation and edema in the lung tissue, down-regulating viral gene expression at the late stage of infection, reducing the percentage of neutrophils, and increasing the percentage of T cells. Tanreqing Capsules relieved the gut injury by restoring the colon length, increasing intestinal lumen mucin secretion, alleviating intestinal inflammation, and reducing goblet cell destruction. The gut microbiota analysis showed that Tanreqing Capsules increased species diversity compared with model group. At the phylum level, Tanreqing Capsules significantly increased the abundance of Firmicutes and Actinobacteria, while reducing the abundance of Bacteroidota and Proteobacteria to maintain gut microbiota balance. At the genus level, Tanreqing Capsules significantly increased the abundance of unclassified＿f＿Lachnospiraceae while reducing the abundance of Bacteroides, Eubacterium, and Phocaeicola to maintain gut microbiota balance. In conclusion, Tanreqing Capsules can alleviate mouse lung and gut injury caused by influenza virus infection and restore the balance of gut microbiota. Treating influenza from the lung and gut can provide new ideas for clinical practice.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Lung/metabolism* ; Mice, Inbred C57BL ; Capsules ; Orthomyxoviridae Infections/virology* ; Gastrointestinal Microbiome/drug effects* ; Male ; Humans ; Female ; Influenza A virus/physiology* ; Influenza, Human/virology*

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

OBJECTIVES: This study aimed to explore the impact of chronic kidney disease (CKD) on prognosis of patients older than 80 years after hip fracture. METHODS: This retrospective, observational, single-center study included patients older than 80 years who underwent hip fracture operations between Feburary 2013 to June 2021 at our hospital. Patients were divided into CKD and non-GKD groups based on the estimated glomerular filtration rate (eGFR) < 60 mL/(min·1.73m²)] or not. Outcomes were the incidence of in-hospital postoperative infectious and non-infectious complications, 30-day readmission, and in-hospital death. Logistic regression analysis was used to calculate the odds ratio (OR) of CKD on these outcomes. RESULTS: A total of 498 patients were included, 165 in the CKD group and 333 in the non-CKD group. Eighty-seven (52.7%) CKD patients experienced 140 episodes of postoperative complications. In comparison, 114 (34.2%) non-CKD patients had 158 episodes of postoperative complications. CKD patients were more likely to have postoperative complications than non-CKD patients (OR = 2.143, 95% CI: 1.465-3.134, P < 0.001). CKD increased the risk of cardiovascular complications (OR = 2.044, 95% CI: 1.245-3.356, P = 0.004), acute kidney injury (OR = 3.401, 95% CI: 1.905-6.072, P < 0.001), delirium (OR = 2.276, 95% CI: 1.140-4.543, P = 0.024), and gastrointestinal bleeding (OR = 4.151, 95% CI: 1.025-16.812, P = 0.031). The transfusion rate (OR = 2.457, 95% CI: 1.668-3.618, P < 0.001) and incidence of 30-day readmission (OR = 2.426, 95% CI:1.203-4.892, P = 0.011) in CKD patients were significantly higher than those in patients without CKD. CONCLUSIONS CKD is associated with poor postoperative outcomes in geriatric hip fracture patients. Special attention should be paid to patients with CKD.
Humans ; Renal Insufficiency, Chronic/physiopathology* ; Aged, 80 and over ; Postoperative Complications/epidemiology* ; Hip Fractures/complications* ; Male ; Female ; Patient Readmission/statistics & numerical data* ; Retrospective Studies ; Glomerular Filtration Rate

OBJECTIVE: To systematically evaluate and re-evaluate the surgical outcomes of robotic-assisted total knee arthroplasty(RA-TKA) compared with to conventional total knee arthroplasty(C-TKA). METHODS: Ten databases, including PubMed, EmBase, Web of Science, Cochrane Library, CINAHL, JBI, CNKI, Wanfang, VIP, CBM, were comprehensively searched from inception to September 2024. Eligible studies included systematic reviews and meta-analysis comparing the surgical outcomes of RA-TKA and C-TKA. Two independen researchers performed data extraction and quality assessment. Methodological quality was evaluated using the AMSTAR tool, while the certainty of evidence was graded using GRADE system. The degree of overlap among primary studies included in the systematic reviews/meta-analyses was investigated using the corrected covered area (CCA). RESULTS: A total of 15 systematic reviews/Meta-analyses were included, 5 were rateak as high quality, 1 as moderate quality, and 9 as low quality. A total of 53 pieces of evidence were identified, 11 pieces of evidence were of high quality, 19 were of moderate quality, 16 were of low quality, and 7 were of very low quality. Ten studies assessed the Knee Society score(KSS) and performed a meta-analysis. Among these, seven studies reported that there was no statistically significant difference in postoperative KSS scores between the two surgical methods. Nine studies evaluated the Hospital for Special Surgery(HSS) score, with seven indicating no statistically significant difference in HSS scores following surgery. Twelve studies examined the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score postoperatively, and five found no significant difference between the two surgical approaches. Five studies compared the hip-knee-ankle (HKA) angle deviation between the two groups, all of which demonstrated that the HKA angle deviation in RA-TKA was significantly lower than in C-TKA. Eight studies reported on the range of motion (ROM) of the knee joint after surgery, with six showing no statistically significant difference between the two methods. Finally, nine studies compared the duration of the surgical procedures, all of which concluded that RA-TKA required a longer operative time than C-TKA. CONCLUSION With regard to functional outcomes, no statistically significant difference was observed between RA-TKA and C-TKA. Nevertheless, RA-TKA demonstrates advantages in terms of surgical accuracy, precision, and alignment correction.
Humans ; Arthroplasty, Replacement, Knee/methods* ; Robotic Surgical Procedures/methods* ; Treatment Outcome ; Meta-Analysis as Topic ; Systematic Reviews as Topic

OBJECTIVE: To observe the effectiveness and safety of Huotujiji prescription for patients with asthenospermia of spleen-kidney yang-deficiency. METHODS: Patients with spleen-kidney-yang deficiency type of asthenospermia were divided into two groups by randomized control method. The patients in the control group were treated with L-carnitine oral solution alone. And the patients in experimental group were treated with Huotujiji prescription. Semen volume, sperm concentration, PR, TCM symptom score and spouse pregnancy were compared between the two groups before and after treatment. RESULTS: A total of 115 patients were included in the study, with 55 in the experimental group and 60 in the control group. In the experimental group, the sperm concentration before and after treatment were (160.71±53.7)×106/mL, (187.19±41.89)×106/mL, and PR were (20.37±9.42)%, (26.7±6.92)%, respectively. PR+NP were (32.06±8.49)% and (34.89±7.25)%. After the treatment, the sperm motility of both groups significantly improved compared to pre-treatment levels (P<0.05). And the experimental group's sperm concentration also showed a significant increase after the treatment (P<0.05). The pregnancy rate of spouses in the control group was 11.67%, which was 29.09% in the experimental group. The pregnancy rate of the spouses in the two groups showed a statistically significant difference (P<0.05). After 12weeks of treatment, the Traditional Chinese Medicine (TCM) symptom scores in the control group did not decrease significantly compared to those before treatment (P> 0.05). In contrast, the TCM symptom scores in the experimental group decreased significantly after treatment (P<0.05). Moreover, compared with the control group, the TCM symptom scores of the experimental group decreased significantly after treatment (P<0.05). CONCLUSION Huotujiji prescription can safely and effectively improve the sperm quality and vitality of patients with spleen-kidney-yang deficiency type of asthenospermia, improve the symptoms of patients, and increase the pregnancy rate of their spouses, which is worthy of clinical promotion.
Humans ; Male ; Drugs, Chinese Herbal/therapeutic use* ; Adult ; Yang Deficiency/drug therapy* ; Asthenozoospermia/drug therapy* ; Female ; Pregnancy ; Phytotherapy ; Sperm Motility ; Young Adult ; Spleen ; Treatment Outcome ; Sperm Count