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.

ObjectiveTraditional Chinese medicine (TCM) constitutes a valuable cultural heritage and an important source of antitumor compounds. Poria (Poria cocos (Schw.) Wolf), the dried sclerotium of a polyporaceae fungus, was first documented in Shennong’s Classic of Materia Medica and has been used therapeutically and dietarily in China for millennia. Traditionally recognized for its diuretic, spleen-tonifying, and sedative properties, modern pharmacological studies confirm that Poria exhibits antioxidant, anti-inflammatory, antibacterial, and antitumor activities. Pachymic acid (PA; a triterpenoid with the chemical structure 3β-acetyloxy-16α-hydroxy-lanosta-8,24(31)-dien-21-oic acid), isolated from Poria, is a principal bioactive constituent. Emerging evidence indicates PA exerts antitumor effects through multiple mechanisms, though these remain incompletely characterized. Neuroblastoma (NB), a highly malignant pediatric extracranial solid tumor accounting for 15% of childhood cancer deaths, urgently requires safer therapeutics due to the limitations of current treatments. Although PA shows multi-mechanistic antitumor potential, its efficacy against NB remains uncharacterized. This study systematically investigated the potential molecular targets and mechanisms underlying the anti-NB effects of PA by integrating network pharmacology-based target prediction with experimental validation of multi-target interactions through molecular docking, dynamic simulations, and in vitro assays, aimed to establish a novel perspective on PA’s antitumor activity and explore its potential clinical implications for NB treatment by integrating computational predictions with biological assays. MethodsThis study employed network pharmacology to identify potential targets of PA in NB, followed by validation using molecular docking, molecular dynamics (MD) simulations, MM/PBSA free energy analysis, RT-qPCR and Western blot experiments. Network pharmacology analysis included target screening via TCMSP, GeneCards, DisGeNET, SwissTargetPrediction, SuperPred, and PharmMapper. Subsequently, potential targets were predicted by intersecting the results from these databases via Venn analysis. Following target prediction, topological analysis was performed to identify key targets using Cytoscape software. Molecular docking was conducted using AutoDock Vina, with the binding pocket defined based on crystal structures. MD simulations were performed for 100 ns using GROMACS, and RMSD, RMSF, SASA, and hydrogen bonding dynamics were analyzed. MM/PBSA calculations were carried out to estimate the binding free energy of each protein-ligand complex. In vitro validation included RT-qPCR and Western blot, with GAPDH used as an internal control. ResultsThe CCK-8 assay demonstrated a concentration-dependent inhibitory effect of PA on NB cell viability. GO analysis suggested that the anti-NB activity of PA might involve cellular response to chemical stress, vesicle lumen, and protein tyrosine kinase activity. KEGG pathway enrichment analysis suggested that the anti-NB activity of PA might involve the PI3K/AKT, MAPK, and Ras signaling pathways. Molecular docking and MD simulations revealed stable binding interactions between PA and the core target proteins AKT1, EGFR, SRC, and HSP90AA1. RT-qPCR and Western blot analyses further confirmed that PA treatment significantly decreased the mRNA and protein expression of AKT1, EGFR, and SRC while increasing the HSP90AA1 mRNA and protein levels. ConclusionIt was suggested that PA may exert its anti-NB effects by inhibiting AKT1, EGFR, and SRC expression, potentially modulating the PI3K/AKT signaling pathway. These findings provide crucial evidence supporting PA’s development as a therapeutic candidate for NB.

Inflammatory pseudotumor-like follicular dendritic cell sarcoma(IPT-like FDCS)is a very rare malignant tumor that is considered to be associated with Epstein-Barr virus.Two patients in this report were generally healthy,and the spleen tumor was found during physical examination.After completing the examination,laparoscopic total splenectomy was performed,and the pathological result showed IPT-like FDCS.Postoperative chemoradiotherapy was not performed in either case.The disease has no characteristic clinical manifestations,and imaging overlaps with sarcoma.Microscopic manifestation showed CD21,CD23 and EBER positive spindle tumor cells in the inflammatory background with matted arrangement.Due to the interwoven distribution of tumor cells and lymphocytes,diagnosis is difficult.In this article,we report this two cases with literature review and summarize their clinical and pathological features to improve diagnostic cognition.

Ankylosing spondylitis (AS) combined with lower cervical fracture is often categorized into unstable fracture, with a high incidence of neurological injury and a high rate of disability and morbidity. As factors such as shoulder occlusion may affect the accuracy of X-ray imaging diagnosis, it is often easily misdiagnosed at the primary diagnosis. Non-operative treatment has complications such as bone nonunion and the possibility of secondary neurological damage, while the timing, access and choice of surgical treatment are still controversial. Currently, there are no clinical practice guidelines for the treatment of AS combined with lower cervical fracture with or without dislocation. To this end, the Spinal Trauma Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate Clinical guidelines for the treatment of ankylosing spondylitis combined with lower cervical fracture in adults ( version 2024) in accordance with the principles of evidence-based medicine, scientificity and practicality, in which 11 recommendations were put forward in terms of the diagnosis, imaging evaluation, typing and treatment, etc, to provide guidance for the diagnosis and treatment of AS combined with lower cervical fracture.

Damarane-type triterpene saponins are the main active ingredients in Gynostemma pentaphyllum (Thunb.) Makino. By using D101 macroporous adsorption resin and silica gel open-columns, C18 medium-pressure column chromatography, and preparative high performance liquid chromatography, we isolated four compounds from the leaves of G. pentaphyllum planted in Guangxi Zhuang Autonomous Region. Their structures were determined by comprehensive analyses of MS, NMR data and circular dichroism spectroscopy and identified as (3β,12β)-dihydroxy-25-peroxyhydrohydrodammarane-20,23-diene-3-O-[β-D-glucopyranosyl(1→2)]-β-D-glucopyranoside (1), (3β,12β,24S)-trihydroxydammarane-20,25-diene-3-O-[β-D-glucopyranosyl(1→2)]-β-D-glucopyranoside (2), (3β,20α)-dihydroxy-24-en-12β,22S-epoxydammarane-3-O-[β-D-glucopyranosyl(1→2)]-β-D-glucopyranoside (3), (3β,12β,20S)-trihydroxydammarane-24-en-3-O-[6-O-acetyl-β-D-glucopyranosyl(1→2)-β-D-glucopyranosyl]-20-O-β-D-xylopyranosyl(1→3)-α-L-rhamnopyranosyl (1→6)-β-D-glucopyranoside (4). Compounds 1-4 are new dammarane-type triterpene saponins.

Purpose::Intramedullary nailing is the preferred internal fixation technique for the treatment of subtrochanteric fractures because of its biomechanical advantages. However, no definitive conclusion has been reached regarding whether combined cable cerclage is required during intramedullary nailing treatment. This study is performed to compare the clinical effects of intramedullary nailing with cerclage and non-cerclage wiring in the treatment of irreducible spiral subtrochanteric fractures.Methods::Patients with subtrochanteric fractures admitted to our center from January 2013 to December 2021 were retrospectively analyzed. The patients were enrolled in the case-control study according to the inclusion and exclusion criteria and divided into the non-cerclage group and the cerclage group. The patients' clinical data, including the operative time, intraoperative blood loss, hospital stay, reoperation rate, fracture union time, and Harris hip score, were compared between these 2 groups. Categorical variables were compared using Chi-square or Fisher's exact test. Continuous variables with normal distribution were presented as mean ± standard deviation and analyzed with Student's t-test. Nonnormally distributed variables were expressed as median (Q 1, Q 3) and assessed using the Mann-Whitney test. A p < 0.05 was considered significant. Results::In total, 69 patients were included in the study (35 patients in the non-cerclage group and 34 patients in the cerclage group). The baseline data of the 2 groups were comparable. There were no significant difference in the length of hospital stay (z = -0.391, p = 0.696), operative time (z = -1.289, p = 0.197), or intraoperative blood loss (z = -1.321, p = 0.186). However, compared with non-cerclage group, the fracture union time was shorter (z = -5.587, p < 0.001), the rate of nonunion was lower (χ 2= 6.030, p = 0.03), the anatomical reduction rate was higher (χ 2= 5.449, p = 0.03), and the Harris hip score was higher (z =-2.99, p = 0.003) in the cerclage group, all with statistically significant differences. Conclusions::Intramedullary nailing combined with cable cerclage wiring is a safe and reliable technique for the treatment of irreducible subtrochanteric fractures. This technique can improve the reduction effect, increase the stability of fracture fixation, shorten the fracture union time, reduce the occurrence of nonunion, and contribute to the recovery of hip joint function.

Objective:To analyze the clinical characteristics of different types of anomalous origin of the coronary artery.Methods:A case-series study was conducted.Based on the clinical data of children diagnosed with anomalous origin of the coronary artery at Shanghai Children′s Medical Center, Shanghai Jiao Tong University School of Medicine from January 2013 to January 2023, the diseases of different types of anomalous origin of the coronary artery were summarized.Results:A total of 177 children with anomalous origin of the coronary artery were treated.Among them, 122 children developed the anomalous origin of the left coronary artery from the pulmonary artery (ALCAPA), including 54 males and 68 females, with a median age of 1.2 years; 6 children developed the anomalous origin of the right coronary artery from the pulmonary artery (ARCAPA), including 3 males and 3 females, with a median age of 4.3 years; 9 children developed the anomalous left coronary artery from the right coronary sinus (ALCA), including 6 males and 3 females, with a median age of 9.5 years; 40 children developed the anomalous right coronary artery from the left coronary sinus (ARCA), including 24 males and 16 females, with a median age of 7.7 years.Most children diagnosed with ALCAPA had onset within 1 year of age, with chronic heart failure as the main manifestation, and young children were often accompanied by severe mitral regurgitation.A total of 111 children underwent surgery, and 11 children died.Six children with ARCAPA had no obvious clinical symptoms and were treated by operation according to the principle of double coronary circulation after diagnosis.Nine children with ALCA started with syncope, chest pain or abdominal pain after exercise.Eight of the children underwent surgical treatment, including 1 who received a heart transplant.Of the 40 children with ARCA, 23 children had clinical manifestations, with chest tightness, syncope, and chest pain after exercise as chief complaints; 16 children were tested positive for treadmill exercise before surgery; and a total of 13 children received surgical treatment.Conclusions:Different types of anomalous origin of the coronary artery vary in severity.The clinical manifestations of the anomalous origin of the left coronary artery are generally serious, and most of such patients have the risk of cardiac insufficiency or sudden death.Once diagnosed, surgical treatment should be performed timely.The clinical manifestations of the anomalous origin of the right coronary artery are relatively mild, and only a few may have serious consequences, which are usually treated according to the principle of individualization or double coronary circulation.

Objective To observe the clinical effect of Dongjing Tiaoshen Comprehensive Therapy combined with computerized cognitive behavioral therapy for insomnia(CCBT-I)in the treatment of chronic insomnia patients with liver depression and spleen deficiency syndrome.Methods A total of 60 patients with chronic insomnia of liver depression and spleen deficiency type were randomly divided into observation group and control group,30 cases in each group.Both groups of patients were treated with CCBT-I as the basic treatment,the observation group was additionally treated with Dongjing Tiaoshen Comprehensive Therapy,i.e.,mind-regulating acupuncture therapy combined with regular aerobic exercises and Dantian Qigong exercises,and the control group was additionally treated with cranial electrotherapy stimulation.The course of treatment for the two groups covered 4 weeks.The changes of Pittsburgh Sleep Quality Index(PSQI)score,Self-rating Anxiety Scale(SAS)score and Self-rating Depression Scale(SDS)score in the two groups were observed before and after treatment,and the clinical efficacy of the two groups was evaluated after treatment.Results(1)After 4 weeks of treatment,the total effective rate of the observation group was 86.67%(26/30),and that of the control group was 70.00%(21/30).The intergroup comparison(tested by rank sum test)showed that the curative effect of the observation group was significantly superior to that of the control group,and the difference was statistically significant(P＜0.05).(2)After treatment,the PSQI scores of the two groups were significantly lower than those before treatment(P＜0.05),and the decrease of PSQI scores in the observation group was significantly superior to that in the control group,the difference being statistically significant(P＜0.05).(3)After treatment,the SAS and SDS scores of the two groups were significantly lower than those before treatment(P＜0.05),and the decrease of SAS and SDS scores in the observation group tended to be superior to that in the control group,but there was no significant difference between the two groups(P＞0.05).Conclusion For the treatment of chronic insomnia of liver depression and spleen deficiency type,the combination of Dongjing Tiaoshen Comprehensive Therapy with CCBT-I can significantly improve the sleep quality,relieve anxiety and depression,and improve the quality of life of the patients,which exerts significant efficacy.

Pituitary thyroid-stimulating hormone(TSH)adenomas is a rare pituitary disorder,accounting for less than 2%of pituitary adenomas.The clinical manifestations primarily include mild to moderate symptoms of hyperthyroidism,corresponding symptoms caused by other anterior pituitary hormone secretion disorders,and symptoms resulting from the mass effect of pituitary tumors.Pituitary TSH adenomas need to be differentiated from primary hyperthyroidism(Graves'disease)and resistance to thyroid hormone(RTH),as misdiagnosis can lead to tumor growth and aggravation of the condition.Currently,with the help of sensitive laboratory tests,imaging examinations,and targeted functional tests,pituitary TSH adenomas can be diagnosed relatively accurately.The preferred treatment is surgical resection.In cases where surgery is not feasible or unsuccessful,radiotherapy or medical therapy can be considered.Long-acting somatostatin analogs can effectively reduce tumor volume and decrease TSH secretion,thereby normalizing free 3,5,3',5'-tetraiodothyronine(FT4)and free 3,5,3'-triiodothyronine(FT3).Early identification and effective treatment are significant for patients with pituitary TSH adenomas.This review summarizes the epidemiology,pathological characteristics,screening objects,clinical manifestations,auxiliary examinations,diagnosis and treatment,follow-up and evaluation of pituitary TSH adenoma,aiming to provide guidance for the clinical diagnosis and treatment of this condition.

Hip fracture in the elderly is characterized by high incidence, high disability rate, and high mortality and has been recognized as a public health issue threatening their health. Surgery is the preferred choice for the treatment of elderly patients with hip fracture. However, lower extremity deep venous thrombosis (DVT) has an extremely high incidence rate during the perioperative period, and may significantly increase the risk of patients′ death once it progresses to pulmonary embolism. In response to this issue, the clinical guidelines and expert consensuses all emphasize active application of comprehensive preventive measures, including basic prevention, physical prevention, and pharmacological prevention. In this prevention system, basic prevention is the basis of physical and pharmacological prevention. However,there is a lack of unified and definite recommendations for basic preventive measures in clinical practice. To this end, the Orthopedic Nursing Professional Committee of the Chinese Nursing Association and Nursing Department of the Orthopedic Branch of the China International Exchange and Promotive Association for Medical and Health Care organized relevant nursing experts to formulate Expert consensus on perioperative basic prevention for lower extremity deep venous thrombosis in elderly patients with hip fracture ( version 2024) . A total of 10 recommendations were proposed, aiming to standardize the basic preventive measures for lower extremity DVT in elderly patients with hip fractures during the perioperative period and promote their subsequent rehabilitation.