BACKGROUND:How to effectively promote bone regeneration and bone reconstruction after bone injury has always been a key issue in clinical bone repair research.The use of biological and degradable materials loaded with bioactive factors to treat bone defects has excellent application prospects in bone repair. OBJECTIVE:To investigate the effect of polylactic acid-glycolic acid copolymer(PLGA)composite scaffold modified by lysine-grafted graphene oxide nanoparticles(LGA-g-GO)on osteogenic differentiation and new bone formation. METHODS:PLGA was dissolved in dichloromethane and PLGA scaffold was prepared by solvent evaporation method.PLGA/GO composite scaffolds were prepared by dispersing graphene oxide uniformly in PLGA solution.LGA-g-GO nanoparticles were prepared by chemical grafting method,and the PLGA/LGA-g-GO composite scaffolds were constructed by blending LGA-g-GO nanoparticles at different mass ratios(1%,2%,and 3%)with PLGA.The micromorphology,hydrophilicity,and protein adsorption capacity of scaffolds of five groups were characterized.MC3T3 cells were inoculated on the surface of scaffolds of five groups to detect cell proliferation and osteogenic differentiation. RESULTS AND CONCLUSION:(1)The surface of PLGA scaffolds was smooth and flat under scanning electron microscope,while the surface of the other four scaffolds was rough.The surface roughness of the composite scaffolds increased with the increase of the addition of LGA-g-GO nanoparticles.The water contact angle of PLGA/LGA-g-GO(3%)composite scaffolds was lower than that of the other four groups(P<0.05).The protein adsorption capacity of PLGA/LGA-g-GO(1%,2%,and 3%)composite scaffolds was stronger than PLGA and PLGA/GO scaffolds(P<0.05).(2)CCK-8 assay showed that PLGA/LGA-g-GO(2%,3%)composite scaffold could promote the proliferation of MC3T3 cells.Alkaline phosphatase staining and alizarin red staining showed that the cell alkaline phosphatase activity in PLGA/LGA-g-GO(2%,3%)group was higher than that in the other three groups(P<0.05).The calcium deposition in the PLGA/GO and PLGA/LGA-g-GO(1%,2%,and 3%)groups was higher than that in the PLGA group(P<0.05).(3)In summary,PLGA/LGA-g-GO composite scaffold can promote the proliferation and osteogenic differentiation of osteoblasts,and is conducive to bone regeneration and bone reconstruction after bone injury.

In recent years, the application of artificial intelligence (AI) in the field of biology has witnessed remarkable advancements. Among these, the most notable achievements have emerged in the domain of protein structure prediction and design, with AlphaFold and related innovations earning the 2024 Nobel Prize in Chemistry. These breakthroughs have transformed our ability to understand protein folding and molecular interactions, marking a pivotal milestone in computational biology. Looking ahead, it is foreseeable that the accurate prediction of various physicochemical properties of proteins—beyond static structure—will become the next critical frontier in this rapidly evolving field. One of the most important protein properties is thermodynamic stability, which refers to a protein’s ability to maintain its native conformation under physiological or stress conditions. Accurate prediction of protein stability, especially upon single-point mutations, plays a vital role in numerous scientific and industrial domains. These include understanding the molecular basis of disease, rational drug design, development of therapeutic proteins, design of more robust industrial enzymes, and engineering of biosensors. Consequently, the ability to reliably forecast the stability changes caused by mutations has broad and transformative implications across biomedical and biotechnological applications. Historically, protein stability was assessed via experimental methods such as differential scanning calorimetry (DSC) and circular dichroism (CD), which, while precise, are time-consuming and resource-intensive. This prompted the development of computational approaches, including empirical energy functions and physics-based simulations. However, these traditional models often fall short in capturing the complex, high-dimensional nature of protein conformational landscapes and mutational effects. Recent advances in machine learning (ML) have significantly improved predictive performance in this area. Early ML models used handcrafted features derived from sequence and structure, whereas modern deep learning models leverage massive datasets and learn representations directly from data. Deep neural networks (DNNs), graph neural networks (GNNs), and attention-based architectures such as transformers have shown particular promise. GNNs, in particular, excel at modeling spatial and topological relationships in molecular structures, making them well-suited for protein modeling tasks. Furthermore, attention mechanisms enable models to dynamically weigh the contribution of specific residues or regions, capturing long-range interactions and allosteric effects. Nevertheless, several key challenges remain. These include the imbalance and scarcity of high-quality experimental datasets, particularly for rare or functionally significant mutations, which can lead to biased or overfitted models. Additionally, the inherently dynamic nature of proteins—their conformational flexibility and context-dependent behavior—is difficult to encode in static structural representations. Current models often rely on a single structure or average conformation, which may overlook important aspects of stability modulation. Efforts are ongoing to incorporate multi-conformational ensembles, molecular dynamics simulations, and physics-informed learning frameworks into predictive models. This paper presents a comprehensive review of the evolution of protein thermodynamic stability prediction techniques, with emphasis on the recent progress enabled by machine learning. It highlights representative datasets, modeling strategies, evaluation benchmarks, and the integration of structural and biochemical features. The aim is to provide researchers with a structured and up-to-date reference, guiding the development of more robust, generalizable, and interpretable models for predicting protein stability changes upon mutation. As the field moves forward, the synergy between data-driven AI methods and domain-specific biological knowledge will be key to unlocking deeper understanding and broader applications of protein engineering.

Objective To experimentally verify the precision and accuracy of determining tritiated water in ambient air using the desiccant adsorption sampling–high temperature negative pressure desorption of liquid water (containing HTO)–liquid Scintillation counter method, and to provide technical support for developing standard methods for monitoring tritiated water in ambient air. Methods The relative standard deviation and recovery of multi-group samples were verified by collecting, testing, and analyzing environmental samples with different activity concentrations. The uncertainty of the method was evaluated, the main uncertainty components were identified, and the reliability of measurement results was analyzed. Through experimental comparison of different methods, the differences in the test results of different methods were examined. Results The relative standard deviation of multiple samples ranged from 6.7% to 7.9%, the recovery ranged from 95.7% to 97.3%, and the uncertainty was greatly affected by the sample counting rate, with no significant difference as compared to condensation sampling method. Conclusion The precision and accuracy of this method meet the requirements of environmental authorities for monitoring tritiated water in ambient air, and it can be widely used in the monitoring of tritiated water in ambient air.

Humans ; Vascular Stiffness ; Coal Mining ; Occupational Diseases/epidemiology* ; Risk Factors ; Coal ; Miners

Objective:To provide a basis for improving the design and implementation of policies for ensuring the supply of pediatric drugs in China.Method:Based on the perspective of pharmaceutical enterprises,reviewed literature and conducts questionnaire surveys to identify the constraints in the development of pediatrict drugs throughout the entire drug lifecycle,and analyzes the constraints'concentration and urgency.Result:The main constraints include:difficulty in conducting clinical trials for children;the current registration and approval rules lack consideration for the specificity of pediatric drugs and specific requirements for application materials;lack of implementation rules and measures in the implementation process of incentive policies for pediatric drug production;The market interest mechanism of pediatric drugs is not yet perfect.Among them,research and development and payment for use are currently relatively concentrated issues.Discussion and suggestions:It is recommended that China fully utilize existing clinical trial data of pediatric and broaden sources,take multiple measures to increase investment in pediatric drug R&D;Develop special guidelines for pediatric drug application and encourage adult drug registration to submit pediatric research plans;Explore the optimization path of pediatrict drug production and supply based on typical cases;Provide more space for pediatric drugs in the rules of drug use and payment.

OBJECTIVE To establish HPLC fingerprint of Guzhecuoshang capsules, and its quality was evaluated by chemical pattern recognition. METHODS The HPLC-DAD method was used to establish the fingerprint of Guzhecuoshang capsules. The main chromatographic peaks were confirmed and assigned, and finally analyzed them through cluster analysis(CA), principal component analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA) models. RESULTS The similarity of 75 batches of Guzhecuoshang capsules was covered from 0.685 to 0.986. A total of 26 common peaks were marked, and 6 components were identified respectively: hydroxysafflor yellow A(peak 1), ferulic acid(peak 6), aloeemodin(peak 15), emodin(peak 19), chrysophanol(peak 24) and physcion(peak 26). CA could be divided into five categories. The PCA and OPLS-DA screened out 13 main differentially contributing components, and it was indicated by the attribution of components that controlling the quality of safflower play an important role in ensuring the stability of the quality of Guzhecuoshang capsules. CONCLUSION The established HPLC fingerprint is relatively stable and reliable, which can basically reflect the characteristics of the chemical components in the compound, and can also provide a reference for the quality control and standard improvement of Guzhecuoshang capsules.

Objective To explore the clinical significance of nucleolar antinuclear antibodies(ANA)in re-lated diseases.Methods This study was a retrospective study.Clinical samples of 71780 patients who visited the hospital from January 2017 to May 2022 were collected.Indirect immunofluorescence was used to detect ANA in clinical samples.Statistical analysis was conducted on the positivity rate of nucleolar ANA in clinical patients,as well as the relevant clinical information and laboratory characteristics of patients with autoimmune diseases(AID)with nucleolar ANA positivity.Results Among 71780 patients who underwent routine ANA testing,16778 were positive for ANA,with a positive rate of 23.37％.Among them,there were 1 708 cases of nucleolar type,accounting for 2.38％of all routine ANA tests,and the proportion of ANA positive cases was 10.18％.There was a statistically significant difference in the positive rate of nucleolar ANA between patients of different genders in the＞20-＜50 year old group and the ≥ 50 year old group(P＜0.05),while there was no statistically significant difference in the positive rate of nucleolar ANA between patients of different genders in the ≤ 20 year old group(P＞0.05).There was a statistically significant difference in the positivity rate of nucleolar ANA among women of different age groups(P＜0.05),among them,the highest positive rate of nucleolar ANA was found in women aged between 20 and 50 years old.There was no statistically significant difference in the positive rate of nucleolar ANA among males of different age groups(P＞0.05).The positivi-ty rate of ANA was the highest among patients in the Department of Rheumatology and Immunology(70.35％),but nucleolar ANA positivity was mainly seen in departments such as Reproductive Medicine Cen-ter(12.90％),Respiratory Medicine(12.40％),and Neurology(11.29％),and the difference in positivity rates between departments was statistically significant(P＜0.05).Out of 1 708 nucleolar ANA positive indi-viduals,420 underwent ANA titers,including 34 AID patients and 386 non AID patients.There was no statis-tically significant difference in nucleolus positive titers between non AID patients and AID patients(P＞0.05).Conclusion The nucleolus type is a common fluorescence pattern in ANA positive individuals,and there are gender and age differences in ANA positive individuals.The positive rate and titer of nucleolar ANA vary among different AID diseases.Combined with other immune function indicators,and it is helpful for early differential diagnosis of AID.

Objective To explore the method for measurement of tritium in nuclear power plant liquid effluent purified by a mixed ion-exchange resin, to verify the feasibility of the method by experiments, and to provide technical support for the development of standard methods for the measurement of tritium in liquid effluent of nuclear power plants. Methods The purification effect of the mixed ion-exchange resin was determined by measuring the quenching factor, conductivity, and β-nuclide adsorption efficiency of the samples purified using the resin. A comparison was made between the ion-exchange resin method and the atmospheric distillation method for tritium determination. The precision and accuracy of the method were verified by calculating the relative standard deviation and the recovery in repeated measurement of samples with different activity concentrations and spiked samples. Results There were no significant differences in quenching factor, conductivity, and tritium activity concentration between the two methods. The adsorption efficiencies of EC20MB resin for common β-nuclides such as carbon, iron, nickel, strontium, yttrium, and cesium ranged from 99.28% to 99.88%. Repeated measurement of the same sample showed relative standard deviations of 5.2%-9.4% and recoveries of 86.8%-107%. Conclusion There were no significant differences between the results of the ion-exchange resin purification method and the atmospheric distillation method. The precision and accuracy of the method met the requirements of the ecological and environmental management authorities for monitoring tritium in liquid effluent from nuclear power plants. This method can be widely used in daily monitoring work.

ObjectiveAngle-closure glaucoma (ACG) is one of the major eye-blinding diseases. To diagnose ACG, it is crucial to examine the anterior chamber angle. Current diagnostic tools include slit lamp gonioscopy, water gonioscopy, ultrasound biomicroscopy (UBM), and anterior segment optical coherence tomography (AS-OCT). Slit lamp and water gonioscopy allow convenient observation of the anterior chamber angle, but pose risks of invasive operation and eye infections. UBM can accurately measure the structure of the anterior chamber angle. However, it is complex to operate and unsuitable for patients, who have undergone trauma or ocular surgery. Although AS-OCT provides detailed images, it is costly. The aim of this study is to explore a non-invasive, non-destructive optical reflection tomography (ORT) technique. This technique can achieve low-cost three-dimensional imaging and full-field anterior chamber angle measurement of the porcine eye. MethodsThe experiment involved assembling an optical reflection tomography system, which included a complementary metal oxide semiconductor (CMOS) camera, a telecentric system, a stepper motor, and a white light source, achieving a spatial resolution of approximately 8.5 μm. The process required positioning the porcine eye at the center of the field of the imaging system and rotating it around its central axis using a stepper motor. Reflection projection images were captured at each angle with an exposure time of 1.0 ms and an interval of 2°. The collected reflection-projection data were processed using a filtered reflection tomography algorithm, generating a series of two-dimensional slice data. These slices essentially represented cross-sectional views of the three-dimensional structural image, and were reconstructed into a complete three-dimensional structural image. Based on the reconstructed three-dimensional structural image of the porcine eye, the anterior chamber angles at different positions were measured, and a distribution map of these angles was drawn. Simultaneously, the ORT measurements were compared with the standard results obtained from optical coherence tomography (OCT) to assess the accuracy of ORT measurements. ResultsIn this study, we successfully obtained the reflection projection data of a porcine eye using ORT technology, reconstructed its three-dimensional structural image, and measured the anterior chamber angle, generating the corresponding distribution map. To better distinguish the different structural parts of porcine eye, the three-dimensional structural image was marked with blue, green, and yellow dashed lines from the outer to the inner layers. The area between the blue and green dashed lines corresponded to the sclera. The area between the green and yellow dashed lines corresponded to the iris. The area inside the yellow dashed line corresponded to the pupil. The three-dimensional structural image clearly revealed the key anatomical features of the porcine eye. It was able to measure the anterior chamber angle at different positions. Additionally, the anterior chamber angle measurements of the porcine eye using ORT were compared with the measurements obtained using a TEL320C1 type OCT system, showing an average deviation of 0.51° and a mean square error MSE of 0.317. ConclusionORT is a non-invasive, non-destructive, low-cost, and high-resolution imaging technique capable of achieving three-dimensional structural imaging and full-field anterior chamber angle measurement of a porcine eye. This technology offers a new perspective for the diagnosis of angle-closure glaucoma and is significant for the screening, diagnosis, and monitoring of eye diseases, potentially benefiting clinics and small hospitals in remote areas in the future.

With the rapid society development and broad recognition of "Healthy China", the demands for good life and health are increasing. Accordingly, the concept of "food and medicine homologous" have been attractive. The concept of "food and medicine homologous" has a long history in China, and is an essence of various ideas in traditional Chinese medicine, such as diet therapy, medicated diet, regimen and preventive treatment of disease, representing an important field in health science. Many studies have found that the active ingredients of "food and medicine homologous" substances are multiple types, multiple mechanisms and multiple targets, exerting their biological effects after oral administration and chemical or metabolic transformation. In this review, the chemical basis and biological principles of various "food and medicine homologous" substances were summarized as compounds, biological macromolecules and intestinal flora. By focusing on the intestinal flora, we discussed the detailed biological principles of several classic "food and medicine homologous" substances. The scientific significance of "food and medicine homologous" concept were also discussed. This review explores the concept of "food and medicine homologous" from the perspective of modern medicine, in order to provide insights for future drug development and human health.