Diabetes is a very complex endocrine disease whose common feature is the increase in blood glucose concentration. Persistent hyperglycemia can lead to blindness, kidney and heart disease, neurodegeneration, and many other serious complications that have a significant impact on human health and quality of life. The number of people with diabetes is increasing yearly. The global diabetes prevalence in 20-79 year olds in 2021 was estimated to be 10.5% (536.6 million), and it will rise to 12.2% (783.2 million) in 2045. The main modes of intervention for diabetes include medication, dietary management, and exercise conditioning. Medication is the mainstay of treatment. Marketed diabetes drugs such as metformin and insulin, as well as GLP-1 receptor agonists, are effective in controlling blood sugar levels to some extent, but the preventive and therapeutic effects are still unsatisfactory. Peptide drugs have many advantages such as low toxicity, high target specificity, and good biocompatibility, which opens up new avenues for the treatment of diabetes and other diseases. Currently, insulin and its analogs are by far the main life-saving drugs in clinical diabetes treatment, enabling effective control of blood glucose levels, but the risk of hypoglycemia is relatively high and treatment is limited by the route of delivery. New and oral anti-diabetic drugs have always been a market demand and research hotspot. Inhibitor cystine knot (ICK) peptides are a class of multifunctional cyclic peptides. In structure, they contain three conserved disulfide bonds (C3-C20, C7-C22, and C15-C32) form a compact “knot” structure, which can resist degradation of digestive protease. Recent studies have shown that ICK peptides derived from legume, such as PA1b, Aglycin, Vglycin, Iglycin, Dglycin, and aM₁, exhibit excellent regulatory activities on glucose and lipid metabolism at the cellular and animal levels. Mechanistically, ICK peptides promote glucose utilization by muscle and liver through activation of IR/AKT signaling pathway, which also improves insulin resistance. They can repair the damaged pancrease through activation of PI3K/AKT/Erk signaling pathway, thus lowering blood glucose. The biostability and hypoglycemic efficacy of the ICK peptides meet the requirements for commercialization of oral drugs, and in theory, they can be developed into natural oral anti-diabetes peptide drugs. In this review, the structural properties, activity and mechanism of ICK pattern peptides in regulating glucose and lipid metabolism were summaried, which provided a reference for the development of new oral peptides for diabetes.

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 investigate the preventive effects of lidocaine administered through different routes on cardiovascular stress responses during anesthesia tracheal intubation. Methods Total 120 patients scheduled for elective surgery under general anesthesia were randomly divided into three groups: intravenous injection group （group IV）, throat spray group （group LJ）, and control group （group CT）, with 40 patients in each. Group IV received 50 mg of lidocaine via intravenous injection 1 minute before tracheal intubation. Group LJ received 50 mg of lidocaine sprayed into the pharyngeal cavity, glottis, and subglottic area. Group CT did not receive any treatment, and the remaining procedures were performed following the routine general anesthesia induction protocol. Heart rate （HR）, systolic blood pressure （SBP）, diastolic blood pressure （DBP）, and mean arterial pressure （MAP） were recorded at four time points: T₀ （before tracheal intubation）, T₁ （immediately after tracheal intubation）, T₂ （3 minutes after intubation）, and T₃ （5 minutes after intubation）. Statistical analysis of the data was performed using SPSS 22.0. Results There were no significant differences in HR at various time points within the group LJ. The changes in HR in the group IV and group CT were different statistically from those in the throat spray group. The blood pressure of patients in all three groups increased to varying degrees immediately after tracheal intubation, with the group CT showing particularly significant changes that differed significantly from both the group IV and the group LJ. The group LJ rapidly returned to levels close to those before intubation. Conclusion The preventive effects of lidocaine on stress responses during tracheal intubation were different depending on the route of administration. The inhibitory preventive effect of the throat spray method was superior to that of intravenous lidocaine, especially in preventing changes in heart rate.

Depressive disorder is a mental illness characterized by poor mood and cognitive dysfunction caused by a range of complicated factors. Antidepressants have strong short-term efficacy in clinical application, yet with significant adverse effects and resistance in long-term use. Essential oils are small molecular compounds mainly composed of monoterpenes and sesquiterpenes, most of which are characterized by aromatic odors, easy permeability through the blood-brain barrier, and low toxic side effects. Volatile oil from traditional Chinese medicine can regulate neurotransmitter monoamine, hypothalamic-pituitary-adrenal axis, brain-derived neurotrophic factor, neuroinflammation and oxidative stress, and intestinal microbiota-gut-brain axis to exert an antidepressant effect through multiple pathways and targets. This review summarizes the main antidepressant chemical components of essential oil of traditional Chinese medicine, their pharmacological mechanisms and clinical application, aiming to provide some reference for further development and clinical application of essential oil of traditional Chinese medicine.

ObjectiveTo investigate the risk factors for pyogenic liver abscess （PLA） comorbid with sepsis by analyzing clinical features， and to construct a predictive model. MethodsA retrospective analysis was performed for 489 patients who were hospitalized and diagnosed with PLA in The Affiliated Hospital of Xuzhou Medical University from January 2019 to December 2023， and according to the presence or absence of sepsis， they were divided into sepsis group with 306 patients and non-sepsis group with 183 patients. Related data were collected， including general information， laboratory markers， and outcome measures. The patients were further divided into a training set of 342 patients and a validation set of 147 patients at a ratio of 7∶3， and the training set was used for screening of variables and construction of a predictive model， while the validation set was used to test the performance of the model. An LASSO regression analysis was used for the screening of variables， and a multivariate Logistic regression analysis was used to construct the predictive model and plot a nomogram. The calibration curve， the receiver operating characteristic （ROC） curve， and the decision curve analysis were used for the validation of the model， and internal validation was performed for assessment. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical variables between groups. ResultsThere were significant differences between the sepsis group and the non-sepsis group in pulse rate， mean arterial pressure， duration pf symptoms， comorbidity of liver cirrhosis or malignant tumor， leukocyte count， neutrophil count， lymphocyte count， platelet count （PLT）， activated partial thromboplastin time， fibrinogen， C-reactive protein， aspartate aminotransferase， alanine aminotransferase， albumin， total bilirubin （TBil）， creatinine， potassium， and prognostic nutritional index （PNI） （all P<0.05）. In the training set， the LASSO regression analysis identified four predictive factors of pulse rate， PLT， TBil and PNI， and the multivariate Logistic regression analysis showed that pulse rate （odds ratio ［OR］=1.033， 95% confidence interval ［CI］： 1.006‍ ‍—‍ ‍1.061， P=0.018）， PLT （OR=0.981， 95%CI： 0.975‍ ‍—‍ ‍0.987， P<0.001）， TBil （OR=1.086， 95%CI： 1.053‍ ‍—‍ ‍1.125， P<0.001）， and PNI （OR=0.935， 95%CI： 0.882‍ ‍—‍ ‍0.988， P=0.019） were independent influencing factors for the risk of sepsis in patients with PLA. The model constructed based on these factors showed a good predictive ability， with an area under the ROC curve of 0.948 （95%CI： 0.923‍ ‍—‍ ‍0.973） in the training set and 0.912 （95%CI： 0.848‍ ‍—‍ ‍0.976） in the validation set. The decision curve analysis showed that the model has a good net benefit within the range of 0.3‍ ‍—‍ ‍0.9 for threshold probability. ConclusionThe nomogram prediction model constructed based on pulse rate， PLT， TBil， and PNI has a certain clinical value and can well predict the risk of sepsis in patients with PLA.

Chemotherapy is an important treatment for tumors， but most patients experience varying degrees of chemotherapy- induced myelosuppression. Four properties theory of traditional Chinese medicine （TCM） has unique advantages in improving chemotherapy-induced myelosuppression. The monomers from TCM with different properties and flavors， such as cold-natured （e.g. Scutellaria baicalensis， Rhus chinensis）， cool-natured （e.g. Ligustrum lucidum， Ophiopogon japonicus）， warm-natured （e.g. Panax ginseng， Epimedium brevicornu， Curcuma longa， Angelica sinensis）， hot-natured （e.g. Cinnamomum cassia， Aconitum carmichaeli）， and neutral-natured （e. g. donkey-hide gelatin， Lycium barbarum， Rhodiola rosea， fungi）， can exert anti- myelosuppressive effects by reducing damage to hematopoietic stem/progenitor cells， improving the bone marrow hematopoietic microenvironment， inhibiting the oxidative stress response， regulating signaling pathways， so as to ultimately repaire inflammatory damage and improve hematopoietic function， thereby playing an anti-myelosuppressive role.

As a Chinese saying goes， "good Chinese medicinal material makes good medicine"， the quality of Chinese herbal medicines is related to the development prospect of Chinese medicine industry in China. With the rapid development of new technologies such as traceability methods and monitoring instruments， it is imperative to integrate and innovate traditional Chinese herbal medicines with new-generation information technology in view of the quality problems existing in the current production and circulation of Chinese herbal medicines， and it is of great significance for the construction of traceability system to ensure the quality and safety of Chinese herbal medicines and to promote the industry of Chinese herbal medicines to move towards high-quality development. This paper reviews the development history of the traceability system of Chinese herbal medicines in China， takes the influencing factors of the quality of Chinese herbal medicines as the entry point， and proposes that the construction of the traceability system should satisfy the traceability requirements of the characteristics of Chinese herbal medicines and their traditional medication experience. By analyzing the influencing factors of the quality of Chinese herbal medicines， it is pointed out that focusing on the influencing factors to build a traceability system is of great significance for targeting the problematic links at a later stage and exploring the interrelationship between environmental factors and the quality of Chinese herbal medicines. Based on the previous explorations， the author summarizes the system framework， functional modules and practical applications of the traceability system of Chinese herbal medicines， and looks forward to the development of a traceability system with risk early warning function and expert decision-making function in its functional development. Finally， based on the factors affecting the quality of Chinese herbal medicines， the author puts forward several thoughts on construction of the traceability system， and makes an in-depth analysis and puts forward a solution for the current situation that a unified， standardized and universal traceability system has not yet been built， with a view to providing ideas and references for the construction of traceability system of Chinese herbal medicines.

Aim To investigate the mechanism of ligu aged 2 months of the same strain were used as the constilide (LIG) in delaying the senescence of auditory trol (Ctrl) group. Auditory brainstem response test was cortex and treating central presbycusis. Methods used to detect the auditory threshold of mice before and Forty C57BL/6J mice aged 13 months were randomly di after treatment. Levels of serum MDA and activity of vided into ligustilide low-dose(L-LIG) group, ligustil serum SOD were detected to display the level of oxidative ide medium-dose (M-LIG) group, ligustilide high-dose stress. The pathological changes of auditory cortex were (H-LIG) group and aging (Age) group, and 10 mice observed by HE staining. Ferroptosis was observed by

Objective Studies on the expression and location of zinc finger protein A20 (A20) and connective tissue growth factor (CTGF) in liver tissues of patients with chronic hepatitis B were conducted, and the relationship between them and liver fibrosis was determined by FibroScan. Methods Studies on A20 and CTGF in liver tissues of 160 patients with chronic hepatitis B were conducted in accordance with the stage of pathological fibrosis and inflammation of the liver, and quantitative immunohistochemistry test was conducted, and statistical analysis was conducted by FibroScan. Results The expressions of A20 and CTGF in liver tissues increased with the aggravation of liver pathological fibrosis and inflammation, and there were significant differences between each stage and the control group (P<0.05), and there were significant differences between adjacent groups (P<0.05). Studies have shown that FibroScan increases along with pathological fibrosis and inflammation in the liver. There are significant differences between the stage and the control group (P<0.05), and no significant differences between the adjacent groups (P>0.05). There was positive correlation between liver A20 and CTGF, r=0.796 (P<0.05). Conclusions In patients with chronic hepatitis B, A20, CTGF and FibroScan are positively correlated with the degree of liver fibrosis, and A20 and CTGF are also positively correlated with the degree of liver inflammation, which can be used as indicators to evaluate the degree of liver inflammation and fibrosis, and further guide the anti-inflammatory and anti-fibrosis treatment of patients.

Hydrogel is a kind of material with high water content,good biocompatibility and extracellular matrix-like property,among which polypyrrole(PPy)conductive hydrogels have both physical characteristics and excellent conductivity of hydrogels themselves.Its conductivity can be used to detect electrical signals generated in biological systems and provide electrical stimulation to regulate the activities and functions of cells and tissues.These characteristics make it widely used in the biomedical field.The recent progress of PPy conductive hydrogels in biomedical field was reviewed in this paper.In terms of classification,according to the cross-linking mechanism of PPy and hydrogel matrix,the non-covalent cross-linked PPy conductive hydrogels and covalent cross-linked PPy conductive hydrogels were divided.The applications of PPy conductive hydrogels in the biomedical field(Skin damage repair,nerve repair,myocardial repair and flexible sensing,etc.)were mainly introduced,and the development trend and challenges of PPy conductive hydrogels in the biomedical field were discussed.