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.

AIM: To quantify early changes of macular capillary parameters in type 2 diabetic patients using optical coherence tomography angiography(OCTA).METHODS: Retrospective case study. A total of 49 healthy subjects, 52 diabetic patients without retinopathy(noDR)patients, and 43 mild nonproliferative diabetic retinopathy(mNPDR)patients were recruited. Capillary perfusion density, vessel length density(VLD), and average vessel diameter(AVD)were calculated from macular OCTA images(3 mm×3 mm)of the superficial capillary plexus after segmenting large vessels and the deep capillary plexus. Parameters were compared among control subjects, noDR, and mNPDR patients. The area under the receiver operating characteristic curve estimated the abilities of these parameters to detect early changes of retinal microvascular networks.RESULTS: Significant differences were found in the VLD and AVD among the three groups(P<0.001). Compared with the control group, the noDR group had significantly higher AVD(P<0.05). VLD of both layers in patients of mNPDR group was significant decreased compared with that of noDR group(all P<0.01). Deep AVD had a higher area under the curve(AUC)of 0.796 than other parameters to discriminate the noDR group from the healthy group. Deep AVD had the highest AUC of 0.920, followed by that of the deep VLD(AUC=0.899)to discriminate the mNPDR group from the healthy group.CONCLUSIONS: NoDR patients had wider AVD than healthy individuals and longer VLD than mNPDR patients in both layers. When compared with healthy individuals, deep AVD had a stronger ability than other parameters to detect early retinal capillary impairments in noDR patients.

Objective To investigate the effect of temozolomide(TMZ)combined with histone methyltransferase enhancer of Zeke 2(EZH2)inhibitor GSK343 on apoptosis and invasion of GH3 cells and its mechanism.Methods Different concentrations of TMZ treated cells were used to screen TMZ treated dose.GH3 cells were randomly divided into blank group,TMZ-L group(200 μmol·L-1 TMZ),TMZ-H group(400 μmol·L-1 TMZ),GSK343 group(20 μmol·L-1 GSK343)and TMZ+GSK343 group(400 μmol·L-1+20 μmol·L-1 GSK343).After 48 h of drug treatment,cell counting kit-8(CCK-8)assay was used to detect cell survival rate;terminal-deoxynucleoitidyl transferase mediated nick end labeling(TUNEL)and flow cytometry were used to detect cell apoptosis;Transwell assay was used to detect cell invasion ability;Western blot assay was used to detect cell-related protein expression.Results TUNEL positive cell rates in blank group,TMZ-L group,TMZ-H group,GSK343 group and TMZ+GSK343 group were(4.31±0.71)％,(15.36±0.91)％,(22.26±2.13)％,(13.05±0.71)％and(34.55±3.75)％;cell invasion numbers were(247.67±27.23),(183.00±20.66),(152.11±8.82),(182.89±18.24)and(116.11±12.73)cells;the expression levels of Bax protein were 0.44±0.05,0.58±0.06,0.81±0.07,0.66±0.06 and 1.03±0.06;the expression of E-cadherin protein were 0.33±0.05,0.57±0.05,0.84±0.12,0.59±0.07 and 1.00±0.12;Vimentin protein expression levels were 0.91±0.14,0.72±0.09,0.62±0.07,0.77±0.08 and 0.47±0.04;phosphorylated phosphatidyl alcohol 3-kinase(p-PI3K)protein expression levels were 0.99±0.11,0.86±0.06,0.68±0.07,0.72±0.08 and 0.52±0.08;phosphorylated protein kinase B(p-AKT)protein expression levels were 1.01±0.06,0.71±0.07,0.57±0.05,0.80±0.07 and 0.43±0.04.TMZ-L group,TMZ-H group,GSK343 group and TMZ+GSK343 group had significant differences in the above indexes compared with blank group(all P＜0.05);TMZ+GSK343 group was compared with TMZ-L group TM2-H group or GSK343 group,and the above indexes were significantly difference(all P＜0.05).Conclusion TMZ combined with EZH2 inhibitor GSK343 can significantly inhibit GH3 cell invasion and induce apoptosis,which may be related to the regulation of PI3 K/AKT pathway.

Tumor immune microenvironment is a local external tumor environment composed of tumor immune cells and the cytokines secreted by these cells， and it plays a regulatory role in the development and progression of tumors. In the treatment of hepatocellular carcinoma， amino acid metabolism and its reprogramming of proliferating cell metabolism have attracted more and more attention， showing potential in regulating the tumor immune microenvironment. Although amino acid metabolic reprogramming is regarded as a novel approach for tumor therapy， its specific mechanism remains unclear in the regulation of tumor immunity in hepatocellular carcinoma. This article discusses the mechanism of action of amino acid metabolism in the tumor immune microenvironment of hepatocellular carcinoma and its application prospect in clinical practice， in order to provide new ideas for immunotherapy for liver cancer.

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.

ObjectiveGlutathione (γ-glutamyl-L-cysteinylglycine, GSH) is the most abundant non-protein compound containing sulfhydryl (―SH) groups in cells. It serves as a source of reducing equivalents, effectively neutralizing harmful reactive substances, and playing a crucial role in maintaining cellular redox balance. Therefore, sensitive detection and accurate measurement of GSH levels in tissues are of great importance. In this work, we presents a novel method for GSH detection utilizing electron paramagnetic resonance (EPR) spectroscopy. MethodsInitially, ABTS (2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonate acid)) solution was mixed with K₂S₂O₈ solution and reacted in the dark for 12 to 16 h to prepare ABTS·⁺ solution, which was then quantified using UV-Vis spectroscopy. Subsequently, the concentration of glutathione (GSH) was determined based on the changes in the EPR signal of ABTS·⁺. On this basis, the optimal reaction time and temperature were explored to establish a standard equation correlating the EPR signal intensity of ABTS·⁺ with GSH concentration. Finally, the derived standard curve was employed to quantitatively analyze the GSH concentration in whole blood from C57BL/6J mice, and the results were compared with those reported in the literature to verify the accuracy of the method. ResultsThe experimental results demonstrate that this method has a linear detection range from50 nmol/L to 15 μmol/L for GSH, spanning two orders of magnitude, with a limit of detection (LOD) at0.50 nmol/L. The measured GSH content in mouse whole blood is (10 660±706) nmol/g Hb, which agrees with the value of (11 200±237) nmol/g Hb as previously reported. Furthermore, a similar method was developed for detection of glutathione disulfide (GSSG) at higher reaction temperature. ConclusionThis article presents a novel assay for the rapid detection of GSH using the intensity of EPR signal from ABTS·⁺ as indicator. This method demonstrates enhanced detection sensitivity and a broader linear range compared to conventional colorimetric methods. Furthermore, we have extended the application of this method to detect GSH content in blood samples efficiently and accurately, offering valuable information for assessing tissue redox balance, thus holding significant potentials.

Pharmaceutical cocrystals is an advanced technology to improve the physicochemical and biological properties of drugs. However, there are few studies on the in vivo metabolism of pharmaceutical cocrystals. In this study, the pharmacokinetics of wogonin cocrystal in normal rats was further studied on the basis of the previous preparation of wogonin-aloperine cocrystal. Firstly, an ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method was established for simultaneous determination of wogonin and its metabolite wogonoside in rat plasma, and to investigate the methodology. The method was applied to the pharmacokinetic study of wogonin-aloperine cocrystal (Wog-Alop) in rats. The results showed that wogonin and its metabolite wogonoside had a good linear relationship in the range of 1-800 ng·mL^-1, and the precision, accuracy, matrix effect and stability in this range met the requirements of biological analysis. Compared with direct administration of wogonin, the C_max of wogonin and its metabolite in rats increased to 7.44-fold and 9.15-fold, AUC_0-t increased to 1.67-fold and 3.72-fold, and oral bioavailability of wogonin increased to 187.66% after cocrystal administration. Wog-Alop cocrystal can significantly improve the C_max, AUC, and oral bioavailability of wogonin and its metabolite, which provides a new perspective for the clinical application of wogonin. This study was approved by the Experimental Animal Ethics Review Committee of Beijing University of Chinese Medicine (approval number: BUCM-2023032307-1148).

Studies on chemical constituents in the rhizome of Dalbergia rimosa Roxb. The chemical constituents from the ethyl acetate part of D. rimosa were isolated and purified by silica gel, MCI gel, Sephadex LH-20 gel and semi-preparative HPLC, and the stuctures were identified by spectral method. Thirteen compounds were isolated from the ethyl acetate part of the rhizome of D. rimosa and identified as dalbergiaisoflavones A, B (1, 2), formononetin (3), 7,4′-dimethoxyisoflavone (4), 4′,6,7-trimethoxyisoflavone (5), biochanin A (6), prunetin (7), 7-O-methyltectorigenin (8), 3′-hydroxydaidzein (9), orobol 7,3′-dimethyl ether (10), 2′,7-dihydroxy-4′,5′- dimethoxyisoflavone (11), pruinosanone E (12), caviunin (13). Compounds 1 and 2 are new compounds, and compounds 3-13 were isolated from this plant for the first time. Compounds 9 and 11 had remarkable scavenging effect on DPPH free radicals.

OBJECTIVE To systematically evaluate the efficacy and safety of the sedative effect of remimazolam in endoscopy and to compare it with propofol and midazolam. METHODS Search PubMed, Embase, Cochrane Library, Wanfang database, CNKI and other databases to collect the literature of randomized controlled trials of remimazolam for sedation in endoscopy. The search period was from 2018 onwards when remimazolam was approved for clinical trials until April 2022. The search strategy included the following variable keywords: remimazolam, gastroscopy, bronchoscopy, and colonoscopy. The quality of the included literature was assessed and the collected data were subjected to meta-analysis by RevMan 5.4 software. RESULTS Ten relevant RCTs involving midazolam and propofol, involving a total of 2 076 patients were included in the analysis. The results showed that the sedative effect of remimazolam was significantly higher than that of midazolam [OR=0.03, 95%CI(0.02, 0.05), I2=0%, P<0.000 01]; but lower than that of propofol [OR=11.32, 95%CI(2.12, 60.56), I2=0%, P=0.005]. The onset time of remimazolam was longer than that of propofol, but shorter than that of midazolam; the recovery time was faster than that of propofol and midazolam. Compared with midazolam, there was no significant difference in the incidence of adverse reactions. Compared with propofol, remimazolam was associated with lower rates of hypotension, slowed heart rate, hypoxemia, and injection pain, but higher risk ratio of nausea, with no difference invomiting. CONCLUSION The sedative effect and onset of action of remimazolam are better than midazolam but less than propofol when used for endoscopy. Wake-up time is faster than that of propofol and midazolam. The incidence of respiratory and circulatory depression is lower with remimazolam than with propofol, and there are no significant differences in adverse effects compared with midazolam.

AIM: To understand the current status and differences in visual acuity of children of the same age from different regions of Xi'an, and to take an effective basis for the prevention of children's myopia.METHODS: Random stratified sampling was used to select the uncorrected distance visual acuity and computed dioptric data of 41 285 children aged 6-12 from 6 towns, 10 urban and rural areas and 112 country schools screened by Xi'an Central Hospital in December 2022.RESULTS: The myopia detection rate in different regions of Xi'an is 47.16% in towns, 38.59% in urban and rural areas, and 32.29% in the country, and the total myopia rate is 37.50%. The myopia rate of 6-12 years old in towns is higher than that in urban and rural areas, and that of urban and rural areas is higher than that of country; the myopia rate of girls is higher than that of boys; myopia rate increases with age; mild myopia: the myopia rate in towns is significantly higher than that of the urban and rural areas and the country; high myopia: the myopia rate in the country is significantly higher than that of the towns and the urban and rural areas. The total rate of deficient hyperopia reserves in different regions of Xi'an is 92.08% in towns, 93.67% in urban and rural areas, and 90.92% in the country, and the total rate of deficient hyperopia reserves is 92.09%. The rate of deficient hyperopia reserves at the age of 6-12 is higher in the urban and rural areas than in the towns, and higher in the towns than in the country; the total rate of deficient hyperopia reserve is higher in girls than in boys; it is the peak period of the development of hyperopia reserve rate before the age of 8.CONCLUSION: The total myopia rate and the total vision reserve deficiency rate of 6-12 years old in different regions of Xi'an are different, and 8-9 years old is the accelerated period of myopia development, and the peak of deficient hyperopia reserve is before the age of 8 years old. With the growth of age, the myopia rate shows a certain growth trend, and the rate of deficient hyperopia reserve shows a decreasing trend after reaching the peak. The total myopia rate and insufficient acuity reserve rate of girls are higher than those of boys.