Objective To investigate the relationship between brain white matter lesions (WML) and triglyceride glucose (TyG) index in non-diabetic elderly individuals based on magnetic resonance imaging. Methods A total of 523 non-diabetic elderly individuals aged ≥ 60 years were selected from Jinan, Shandong Province, China from June 2018 to December 2019. According to the quartiles of TyG index, there were 133 participants in the first quartile (Q1) group, 127 in the second quartile (Q2) group, 132 in the third quartile (Q3) group, and 131 in the fourth quartile (Q4) group. All participants underwent brain magnetic resonance imaging to evaluate paraventricular, deep, and total WML volumes, as well as Fazekas scores. Results Compared with Q1, Q2, and Q3 groups, Q4 group showed significant increase in periventricular, deep, and total WML volumes (P < 0.05). The proportion of participants with a Fazekas score ≥ 2 in the periventricular, deep, and total WML was higher in the Q4 group compared with the Q1 and Q2 groups (P < 0.05). The proportion of participants with a Fazekas score ≥ 2 in deep WML was higher in Q4 group than in Q3 group (P < 0.05). TyG index was significantly positively correlated with periventricular, deep, and total WML volumes (r = 0.401, 0.405, and 0.445, P < 0.001). After adjusting for confounding factors, TyG index was still significantly positively correlated with periventricular, deep, and total WML volumes (P < 0.001). Logistic regression analysis showed that compared with Q1 group, the risk of Fazekas score ≥ 2 in periventricular WML was 1.950-fold (95% confidence interval [CI]: 1.154-3.294, P = 0.013) in Q3 group and 3.411-fold (95% CI: 1.984-5.863, P < 0.001) in Q4 group, the risk of Fazekas score ≥ 2 in total WML was 2.529-fold (95%CI: 1.444-4.430, P = 0.001) in Q3 group and 4.486-fold (95%CI: 2.314-8.696, P < 0.001) in Q4 group. The risk of Fazekas score ≥ 2 in deep WML was 2.953-fold (95%CI: 1.708-5.106, P < 0.001) in Q4 group compared with Q1 group. Conclusion Increased TyG index is an independent risk factor for WML in non-diabetic elderly individuals.

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 analyze the risk factors associated with the occurrence of rectal neuroendocrine tumors (RNETs) and construct a risk prediction model. Methods Clinical data of patients who underwent electronic colonoscopy were collected. The clinical information on patients with and without RNETs were compared, and potential risk factors for RNETs were identified. Binary logistic regression was performed to analyze the relevant risk factors and construct a risk prediction model. Results Among 164 patients, 66 were diagnosed with RNETs, and 98 who did not have such a condition were randomly selected. Univariate logistic regression analysis revealed that age, fatty liver, anxiety and depression, total cholesterol, triglyceride levels, and carcinoembryonic antigen (CEA) were significant factors influencing the occurrence of RNETs (P<0.05). Multivariate logistic regression analysis identified age (P=0.015), anxiety and depression (P=0.031), cholesterol level (P=0.009), fatty liver (P=0.001), and CEA (P<0.001) as independent risk factors for RNETs. The participants were randomly divided into training and test sets at a 7:3 ratio. The training set was used to construct a nomogram-based risk prediction model, and the testing set was used for internal validation. The area under the curve values for the training and testing sets were 0.843 and 0.772, respectively (P>0.05). These findings indicate a good discriminative performance. The calibration curves for the training and testing sets were in good agreement with the 45° standard line, which suggests that the predicted probabilities were consistent with the actual outcomes. Decision curve analysis showed that the model provided a high net benefit within a threshold range of 0.2 to 0.7 for clinical decision making. Conclusion Young age, fatty liver, high CEA levels, high cholesterol levels, and anxiety and depression are independent risk factors for RNETs. The nomogram model constructed based on these risk factors exhibits a strong capability to predict the occurrence of RNETs, and clinical intervention can be considered based on the predicted probability values.

ObjectiveTo investigate the quality markers of Xiaoqinglong granules（XQLG） for treating bronchial asthma using the analytic hierarchy process（AHP）-entropy weight method（EWM）， network pharmacology and high performance liquid chromatography（HPLC） content determination. MethodsEffectiveness， testability and peculiarity component data of XQLG in treating bronchial asthma were constructed through database retrieval， literature review， and network pharmacology. Subsequently， AHP-EWM was used to quantitatively identify and weight the control layer and element layer， the relevant compounds were selected as candidate quality markers based on comprehensive scores. Further comparison of reference substances and establishment of HPLC content determination method were used to determine the potential quality markers of XQLG， which were verified by molecular docking with disease targets. ResultsA total of 13 components， including glycyrrhizic acid， paeoniflorin， schisandrol A， isoliquiritigenin， 6-gingerol， ephedrine， liquiritin， albiflorin， liquiritigenin， 6-shogaol， pseudoephedrine， cinnamic acid and cinnamaldehyde， were identified as potential quality markers of XQLG by AHP-EWM. Quantitative analysis indicated that all aforementioned quality markers could be detected in 13 batches of XQLG， indicating that it had stable testability as a quality marker. Among these 13 batches of samples， ephedrine and paeoniflorin exhibited good consistency in content， while pseudoephedrine and cinnamaldehyde showed poor consistency. Molecular docking analysis revealed that the 13 compounds exhibited binding energies with the core targets -2.11 kcal·mol^-1， indicating that the 13 compounds could spontaneously bind to the disease targets， which may be the material basis for the treatment of bronchial asthma with XQLG. ConclusionIn this study， 13 compounds were screened by AHP-EWM combined with network pharmacology and HPLC as quality markers for the treatment of bronchial asthma by XQLG， laying the foundation for enhancing the quality standards of this preparation.

Aim To investigate whether alisol A (AA) could improve the blood brain barrier (BBB) mediated cortex cerebral ischemia-repeifusion injury (CIRI) by inhibiting matrix metalloproteinase 9 (MMP-9). Methods The global cerebral ischemia- reperfusion (GCI/R) model in mice was established, and the AA was intragastric injected subsequently for seven days. The modified neurological severity scores (mNSS), open field test and Y-maze test were applied to detect neurological function. Magnetic resonance spectroscopy (MRS) was used to detect relevant neu- rosubstance metabolism in cortex of mice. Transmission electron microscope (TEM) was employed to observe the ultrastructure of BBB in cortex. Western blot and immunohistochemistry were used to detect the MMP-9 level in cortex. The binding possibility of A A and MMP-9 was determined by molecular docking. Results Compared with Sham group, mice in GCI/R group have an increased mNSS score but decreased at total distance and center distance to total distance ratio in open field test as well as alternation rate in Y-maze test (P<0.01). While mice in GCI/R + AA group have a decreased mNSS score but increased at total distance and center distance to total distance ratio in open field test as well as alternation rate in Y-maze test (P<0.01) compared with GCI/R group. MRS results found that in cortex of GCI/R group mice, the level of GABA and NAA significantly decreased while the Cho, mI and Tau level increased (P<0.01). Whereas in GCI/R + AA group mice, the GABA and NAA level increased and the Cho, ml and Tau decreased significantly (P<0.01). By TEM we observed that the basilemma of cerebral microvessels collapsed, the lumen narrowed, the endothelial cells were active and plasma membranes ruffled, gaps between cells were enlarged and tight junctions were damaged and the end feet of astrocytes were swollen in GCI/R group mice. While in GCI/R + AA group mice, the lumen was filled, plasma membranes of endothelial cells were smooth, tight junctions were complete and end feet of astrocytes were in normal condition. Western blot and immunohistochemistry both found that the MMP-9 level increased in GCI/R group mice (P < 0.01) and decreased in GCI/R + AA group mice (P < 0.05). Molecular docking proved the binding between aliso A and MMP9 through TYR-50 and ARG-106, and the binding energy was calculated as -6.24 kcal · mol

Objective To understand the epidemiological characteristics and genotype distribution of enterovirus (EV) in influenza-negative influenza-like illness (ILI) cases in Chongqing, and to provide a scientific basis for EV prevention and control. Methods Throat swab samples of influenza-negative ILI cases were collected from surveillance sites. The samples were detected for EV using real-time RT-PCR. The VP4 regions of positive samples were amplified and sequenced for genotyping. Results A total of 3 960 influenza-negative ILI samples were collected from January to December 2021, and 316 (7.98%) of them were EV-positive. EV could be detected in influenza-negative ILI cases in Chongqing all year round. The months with high EV-positive rates were January (11.60%), April (10.56%), May (11.79%), June (12.62%), and July (10.33%). There was a statistically significant difference in the detection rate of EV in ILI cases in different regions, gender, and age groups (χ²=29.647，χ²=4.192，χ²=69.176，P<0.05). A total of 213 EV-positive cases were successfully genotyped, including 17 genotypes of EV-A, EV-B, and EV-C and 5 genotypes of HRV-B. The dominant genotypes were CV-A4 (32.86%), CV-A2 (23.00%), CA-6 (12.21%), and CA-10 (11.74%). EV-D and novel EV were not identified in this study. Conclusion EV is an important pathogen in ILI cases in Chongqing. The prevalence of EV in ILI cases in Chongqing has typical regional, seasonal and population characteristics. Prevention and control should be carried out in Chongqing according to the epidemic characteristics of EV.

Humans ; Tranexamic Acid/therapeutic use* ; Arthroplasty, Replacement, Knee ; Antifibrinolytic Agents/therapeutic use* ; Blood Loss, Surgical ; Postoperative Hemorrhage

Tumor cells use glycolysis to provide material and energy under hypoxic conditions to meet the energy requirements for rapid growth and proliferation， namely the Warburg effect. Even under aerobic conditions， tumor cells mainly rely on glycolysis to provide energy. Therefore， glucose transporter protein 1（GLUT1）， which is involved in the process of glucose metabolism， plays an important role in tumorigenesis， development and drug resistance， and is considered to be one of the important targets in the treatment of malignant tumors. In recent years， research on tumor glucose metabolism has gradually become a hot spot. It has been shown that various factors are involved in the regulation of tumor energy metabolism， among which the role of GLUT1 is the most critical. In this paper， the authors reviewed the latest research progress of GLUT1-targeted traditional Chinese medicine（TCM） active ingredient nano-delivery system in tumor therapy， aiming to reveal the feasibility and effectiveness of this system in the delivery of chemotherapeutic drugs. The GLUT1-targeted TCM active ingredient nano-delivery system can overcome the bottleneck of the traditional targeting strategy as well as the high-permeability long retention（EPR） effect. In summary， the authors believe that the GLUT1-targeted TCM active ingredient nano-delivery system provides a new strategy for targeted treatment of tumors and has a broad application prospect in tumor prevention and treatment.

Objective To investigate the mechanism of naringenin resisting lower extremity deep venous thrombosis(LEDVT)in rats.Methods Sixty rats were randomly divided into 6 groups,i.e.,sham-operation group,model group,naringenin low-,medium-,and high-dose groups,and naringenin high-dose + STING agonist 2.5 hexamethylene cacodylate(DMXAA)group,with 10 rats in each group.The coagulation indexes[D-dimer,thrombin time(TT),activated partial thromboplastin time(APTT),prothrombin time(PT)],inflammation indexes[interleukin 1β(IL-1β),interleukin 6(IL-6),tumor necrosis factor α(TNF-α)]and oxidative stress indexes[malondialdehyde(MDA),glutathione peroxidase(GSH-Px),superoxide dismutase(SOD)];Hematoxylin-eosin(HE)staining to detect thrombus formation in venous tissues;wet and dry mass of thrombus were detected;ultrastructure of venous thrombus was detected by transmission electron microscope(TEM);protein expressions of cyclic GMP-AMP synthase(cGAS)and stimulator of interferon genes(STING)in venous thrombus tissue were detected by Western Blot.Results(1)Compared with the sham-operation group,rats in the model group showed an increase in D-dimer levels,IL-1β,IL-6,TNF-α levels,MDA content,thrombus wet and dry mass,and a decrease in TT,APTT,PT,SOD activity,and GSH-Px activity(all P＜0.05);and compared with the model group,rats in naringen's low-,medium-,and high-dose groups showed a decrease in D-dimer levels,IL-1β,IL-6,TNF-α levels,MDA content,thrombus wet and dry mass,TT,APTT and PT,SOD activity and GSH-Px activity were increased(P＜0.05)in a dose-dependent manner compared with the model group;compared with the naringenin high-dose group,rats in the naringenin high-dose + DMXAA group,D-dimer levels,IL-1β,IL-6,TNF-α levels,MDA content,thrombus wet and dry mass were elevated,TT,APTT and PT,SOD activity and GSH-Px activity were decreased(P＜0.05).(2)Compared with the sham-operation group,the expression levels of cGAS and STING proteins in the venous thrombus tissues of rats in the model group were elevated(P＜0.05);compared with the model group,the expression levels of cGAS and STING proteins in the venous thrombus tissues of rats in the naringeno low-,medium-and high-dose groups were significantly reduced(P＜0.05);cGAS and STING protein expression levels in the naringenin high-dose + DMXAA group were significantly higher than those in the naringenin high-dose group(P＜0.05).Conclusion Naringenin can inhibit the activation of cGAS/STING signalling pathway,thereby inhibiting the inflammatory response and resisting oxidative stress,and thus alleviating the LEDVT.

Oligodendrocytes(OLs)play a crucial role in myelination during the development and repair of the central nervous system.ATP serves not only as an important signaling molecule involving in the intercellular com-munications,but also as an energetic molecule,with its purinergic receptor subtypes widely present in neurons and glial cells.These subtypes are composed of two purinergic receptors:P1 and P2:The former are primarily activated by adenosine,and the latter mainly by ATP,ADP,and UTP.The two receptors paly their respective role in various regions of the CNS under physiological or pathological conditions through distinct mechanisms.In this paper,we review recent literature on the roles and mechanisms of the purinergic receptors in OL development,myelination,and myelin repair.It may be of great significance for further understanding the role of purinergic signaling in demy-elinating diseases and myelin dysplasia and exploring potential therapeutic targets.