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 investigate the environmental contamination related to first patient with carbapenem-re-sistant Acinetobacter baumannii(CRAB)infection and the infection status of relevant patients in a newly established intensive care unit(ICU)of a hospital in Tibetan area,and analyze the transmission risk.Methods From the ad-mission in ICU of a patients who was first detected CRAB on November 15,2021 to the 60th day of hospitalization,all patients who stayed in ICU for＞48 hours were performed active screening on CRAB.On the 30th day and 60th day of the admission to the ICU of the first CRAB-infected patient,environment specimens were taken respectively 2 hours after high-frequency diagnostic and therapeutic activities but before disinfection,and after disinfection but before medical activities.CRAB was cultured with chromogenic culture medium.Results Among the 13 patients who were actively screened,1 case was CRAB positive,he was transferred from the ICU of a tertiary hospital to the ICU of this hospital on November 19th.On the 40th day of admission to the ICU,he had fever,increased frequency for sputum suction,and CRAB was detected.The drug sensitivity spectrum was similar to that of the first case,and he also stayed in the adjacent bed of the first case.64 environmental specimens were taken,and 9 were positive for CRAB,with a positive rate of 14.06％,8 sampling points such as the washbasin,door handle and bed rail were positive for CRAB after high-frequency diagnostic and therapeutic activities.After routine disinfection,CRAB was detected from the sink of the washbasin.Conclusion For the prevention and control of CRAB in the basic-level ICU in ethnic areas,it is feasible to conduct risk assessment on admitted patients and adopt bundled prevention and con-trol measures for high-risk patients upon admission.Attention should be paid to the contaminated areas(such as washbasin,door handle,and bed rail)as well as the effectiveness of disinfection of sink of washbasin.

OBJECTIVE To evaluate the effects of different fresh processing methods on the quality of Puerarial Lobatae Radix using entropy weight TOPSIS model and multi-index. METHODS By optimizing the specifications of fresh cut(thick slices of 2, 3, 4 mm thick, the side length of 0.5, 1, 1.5 cm), drying method(drying at 45, 65, 85 ℃, freeze drying) and other parameters, Puerarial Lobatae Radix medicinal materials were processed at the origin, and Puerarial Lobatae Radix decoction pieces were obtained. Using the content of 3′-hydroxy puerarin, puerarin, puerarin apioside, 3′-methoxy puerarin, puerarin-6″-O-xyliside, daidzin, genistin, daidzein, ethanol soluble extractives, as well as moisture and ash content limits as evaluation indicators, through the entropy and TOPSIS method to analyze the index component data and optimizing the Puerarial Lobatae Radix best when fresh herbs processing technology. RESULTS Different fresh processing methods had a certain influence on the content of the index components of Puerarial Lobatae Radix, and the best cutting specification was 0.5 cm thick, and the best drying method was freezed drying. CONCLUSION The entropy weight TOPSIS method can be used to evaluate the effects of different processing methods on the quality of Puerarial Lobatae Radix, and the best processing technology obtained has good stability and repeatability, which can provide guidance for the standardization of processing technology of Puerarial Lobatae Radix.

AIM To establish the quality standard of the zhujieshen Formula Granules based on standard decoction.METHODS The contents and transfer rates of ginsenoside Ro and chikusetsu saponin Ⅳa in standard decoction and formula granules were determined by HPLC,after which the transfer rates were calculated.The HPLC characteristic chromatograms of standard decoctions were established,after which cluster analysis and principal component analysis were adopted.Then the HPLC characteristic chromatograms of formula granules were established.RESULTS Nine common peaks were found in the HPLC characteristic chromatograms of seventeen batches of standard decoctions with the similarities of more than 0.9(except for S6,S12),which were clustered into two categories,and the accumulative variance contribution rate of three principal components reached 86.7％.The contents of ginsenoside Ro in three batches of formula granules were 83.1-88.6 mg/g,and the transfer rates were 53.1％-55.5％.The contents of chikusetsusaponin Ⅳa were 14.8-15.0 mg/g,and the transfer rates were 47.4％-48.1％.Nine common peaks were found in the HPLC characteristic chromatograms of three batches of formula granules with the similarities of 0.998,0.998 and 0.999,respectively.CONCLUSION This reasonable and reliable method can comprehensively evaluate the quality of Zhujieshen Formula Granules,and provide a reference for the quality control.

Vascular dementia(VD) is a condition of cognitive impairment due to acute and chronic cerebral hypoperfusion. The available therapies for VD mainly focus on mitigating cerebral ischemia, improving cognitive function, and controlling mental behavior. Achievements have been made in the basic and clinical research on the treatment of VD with traditional Chinese medicine(TCM) active components, including Ginkgo leaf extract, puerarin, epimedium, tanshinone, and ginsenoside. Most of these components have anti-inflammatory, anti-apoptotic, anti-oxidant, and neuroprotective effects, and puerarin demonstrates excellent performance in mitigating cholinergic nervous system disorders and improving synaptic plasticity. Puerarin, ginkgetin, and epimedium are all flavonoids, while tanshinone is a diterpenoid. Puerariae Lobatae Radix, pungent in nature, can induce clear Yang to reach the cerebral orifices and has the wind medicine functions of ascending, dispersing, moving, and scurrying. Puerariae Lobatae Radix entering collaterals will dredge blood vessels to promote blood flow, and that entering the sweat pore will open the mind, which is in line with the TCM pathogenesis characteristics of VD. This study reviews the progress in the mechanism of puerarin, the main active component of Puerariae Lobatae Radix, in treating VD. Puerarin can ameliorate cholinergic nervous system disorders, reduce excitotoxicity, anti-inflammation, inhibit apoptosis, alleviate oxidative stress injury, enhance synaptic plasticity, up-regulate neuroprotective factor expression, promote cerebral circulation metabolism, and mitigate Aβ injury. The pathways of action include activating nuclear factor erythroid 2-related factor 2(Nrf2)/antioxidant response element(ARE), vascular endothelial growth factor(VEGF), extracellular regulated protein kinases(ERK), phosphatidylinositol-3-kinase(PI3K)/protein kinase B(Akt), Janus-activating kinase 2(JAK2)/signal transducer and activator of transcription 3(STAT3), AMP-activated protein kinase(AMPK), as well as inhibiting the tumor necrosis factor α(TNF-α), transient receptor potential melastatin 2(TRPM2)/N-methyl-D-aspartate receptor(NMDAR), p38 mitogen-activated protein kinase(p38 MAPK), Toll-like receptor 4(TLR4)/nuclear factor-kappaB(NF-κB), early growth response 1(Egr-1), and matrix metalloproteinase 9(MMP-9). By reviewing the papers about the treatment of VD by puerarin published by CNKI, Wanfang, VIP, PubMed, and Web of Science in the last 10 years, this study aims to support the treatment and drug development for VD.
Humans ; Dementia, Vascular/drug therapy* ; Vascular Endothelial Growth Factor A ; NF-kappa B/metabolism* ; Antioxidants ; Brain Ischemia ; Cholinergic Agents

Objective:To investigate the influencing factors of textbook outcomes in liver surgery (TOLS) after radical resection of gallbladder carcinoma.Methods:The retrospective case-control study was conducted. The clinicopathological data of 530 patients who underwent radical resection of gallbladder carcinoma in 15 medical centers, including the First Affiliated Hospital of Army Medical University et al, from January 2014 to January 2020 were collected. There were 209 males and 321 females, aged (61±10)years. Patients underwent radical resection of gallbladder carcinoma, including cholecystectomy, hepatectomy, invasive bile duct resection, and lymph node dissection. Observation indicators: (1) situations of TOLS; (2) influencing factors of TOLS. Measure-ment data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent sample t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the Mann-Whitney U test. The univariate analysis was conducted using the corresponding statistical methods based on data type, and variables with P<0.10 were included in multivariate analysis. Multivariate analysis was conducted using the Logistic stepwise regression model. Results:(1) Situations of TOLS. All 530 patients underwent radical resection of gallbladder carcinoma, and there were 498 cases achieving R 0 resection, 508 cases without ≥grade 2 intra-operative adverse events, 456 cases without postoperative grade B and grade C biliary leakage, 513 cases without postoperative grade B and grade C liver failure, 395 cases without severe com-plications within postoperative 90 days, 501 cases did not being re-admission caused by severe com-plications within postoperative 90 days. Of the 530 patients, 54.53%(289/530) of patients achieved postoperative TOLS, while 45.47%(241/530) of patients did not achieve postoperative TOLS. (2) Influencing factors of TOLS. Results of multivariate analysis showed that American Society of Anesthesiologists classification >grade Ⅱ, preoperative jaundice, T staging as T3?T4 stage, N staging as N2 stage, liver resection as right hemi-hepatectomy, and neoadjuvant therapy were independent factors influencing TOLS in patients undergoing radical resection of gallbladder carcinoma ( odds ratio=2.65, 1.87, 5.67, 5.65, 2.55, 3.34, 95% confidence interval as 1.22?5.72, 1.18?2.95, 2.51?12.82, 2.83?11.27, 1.41?4.63, 1.88?5.92, P<0.05). Conclusion:American Society of Anesthesiologists classification >grade Ⅱ, preoperative jaundice, T staging as T3?T4 stage, N staging as N2 stage, liver resection as right hemi-hepatectomy, and neoadjuvant therapy are independent factors influencing TOLS in patients undergoing radical resection of gallbladder carcinoma.

AIM: To explore the feasibility of swept source optical coherence tomography angiography(SS-OCTA)in evaluating early retinal and choroidal microcirculation changes in patients with hypertension.METHODS:Prospective clinical study. A total of 27 patients with grade 2 or 3 essential hypertension(hypertension group)diagnosed in the Department of Cardiology of Xi'an First Hospital from July to November 2022 were included in the study. There were 14 males and 13 females. The mean age was(57.11±3.36)years. During the same period, 27 age- and sex-matched normal people without a history of hypertension were selected as the control group, including 12 males and 15 females. The average age was(55.74±2.95)years old. All patients underwent BCVA(LogMAR), intraocular pressure, axial length, slit lamp examination, fundus color photography and SS-OCTA examination. SS-OCTA was used to scan the macular area of the right eye in the range of 6×6 mm. The retina and choroid were divided into three concentric circles with diameters of 0-1 mm, 1-3 mm and 3-6 mm around the fovea according to ETDRS. Macular vessel density(VD), perfusion area(PA), retinal thickness(CMT), choroidal thickness(CT), choroidal vessel volume(CVV)and choroidal vasculr index(CVI)of the superficial capillary plexus(SCP)and the deep capillary plexus(DCP)in the macular area of 0-1 mm, 1-3 mm and 3-6 mm were analyzed and recorded. The changes in VD, PA, CMT, CT, CVV and CVI were compared between the two groups. Independent sample t-test was used to compare VD, PA, CMT and CVI between the two groups; CT, CVV and LogMAR visual acuity were analyzed by Wilcoxon signed rank test of independent samples.RESULTS:Compared with the control group, the hypertensive group had significantly lower VD in the macular area 0-3 mm(0-1 mm, t=-3.144; 1-3 mm, t=-3.611, P<0.05). VD in the area of 3-6 mm showed a tendency to increase compared with the control group(t=1.715, P>0.05). The CMT in the 0-1mm area of the macular area in the hypertension group was lower than that in the control group(t=-2.624, P<0.05). There was no significant difference in CT, CVV and CVI between the two groups(P>0.05).CONCLUSION:The VD of DCP in the 0-3 mm area and the CMT in the 0-1 mm area are decreased in hypertensive patients. There were no significant differences in CT, CVV and CVI between the two groups. VD and CMT in macular DCP may be used as indicators to evaluate the early changes of retinal and choroidal microcirculation in hypertensive patients.

Rhein is an anthraquinone compound extracted from rhubarb, aloe vera, Polygonum multiflorum. In this study, we screened the potential targets of rhein through protein chip technology and investigated the underlying mechanism of its inhibition of colorectal cancer. Colony formation assay and scratch assay were used to examine the effect of rhein on the proliferation and migration abilities of HCT116 cell; KEGG and protein interaction analyses of rhein specific binding proteins by screening rhein binding proteins using protein chip; qRT-PCR and Western blot assays were used to determine the effect of rhein on the expression levels of BCL-2-associated X protein (BAX), B-cell lymphoma-2 (BCL-2) and argininosuccinate synthetase 1 (ASS1) in HCT116 cell. The antitumor effect of rhein was verified by azoxymethane combined with dextran sodium sulfate (AOM/DSS) induced colorectal cancer model. Experimental animal procedures were performed in accordance with animal welfare and the standards of the Laboratory Animal Ethics Committee of South China Agricultural University, with approval from the ethics committee. In vivo and in vitro results indicate that rhein specific binding proteins are mainly involved in amino acid anabolism, especially the arginine anabolic signaling pathway. Rhein inhibited the proliferation and migration of HCT116 cell in a concentration-dependent manner. Treated with rhein for 24 h significantly enhanced the expression of BAX and ASS1 in HCT116 cells, as well as the level of nitric oxide (NO) metabolism. In a mouse model of colorectal cancer, rhein significantly alleviated AOM/DSS induced weight loss and reduced fecal occult blood score. Meanwhile, rhein enhanced BAX and ASS1 expression in colon tumor tissue, as well as increased arginine and NO in serum. IHC and HE stain indicated that rhein alleviated Ki67 expression and macrophage infiltration in the colonic tissue of mice with AOM/DSS and delayed tumor formation. In conclusion, rhein can exert antitumor activity by regulating arginine and NO metabolism through ASS1.

The present study explored the effect of co-amorphous technology in improving the dissolution rate and stability of silybin based on the puerarin-silybin co-amorphous system prepared by the spray-drying method. Solid-state characterization was carried out by powder X-ray diffraction(PXRD), polarizing microscopy(PLM), Fourier transform infrared spectroscopy(FT-IR), differential scanning calorimetry(DSC), etc. Saturated powder dissolution, intrinsic dissolution rate, moisture absorption, and stability were further investigated. The results showed that puerarin and silybin formed a co-amorphous system at a single glass transition temperature which was higher than that of any crude drug. The intrinsic dissolution rate and supersaturated powder dissolution of silybin in the co-amorphous system were higher than those of the crude drug and amorphous system. The co-amorphous system kept stable for as long as three months under the condition of 40 ℃, 75% relative humidity, which was longer than that of the single amorphous silybin. Therefore, the co-amorphous technology could significantly improve the dissolution and stability of silybin.
Calorimetry, Differential Scanning ; Desiccation ; Drug Compounding/methods* ; Drug Stability ; Silybin ; Solubility ; Spectroscopy, Fourier Transform Infrared ; Technology ; X-Ray Diffraction

Aged ; Antiviral Agents/therapeutic use* ; COVID-19/drug therapy* ; China/epidemiology* ; Cohort Studies ; Female ; Hospital Mortality ; Hospitalization ; Humans ; Male ; Middle Aged ; Patient Acuity ; SARS-CoV-2 ; Treatment Outcome