Electromagnetic fields can regulate the fundamental biological processes involved in bone remodeling. As a non-invasive physical therapy, electromagnetic fields with specific parameters have demonstrated therapeutic effects on bone remodeling diseases, such as fractures and osteoporosis. Electromagnetic fields can be generated by the movement of charged particles or induced by varying currents. Based on whether the strength and direction of the electric field change over time, electromagnetic fields can be classified into static and time-varying fields. The treatment of bone remodeling diseases with static magnetic fields primarily focuses on fractures, often using magnetic splints to immobilize the fracture site while studying the effects of static magnetic fields on bone healing. However, there has been relatively little research on the prevention and treatment of osteoporosis using static magnetic fields. Pulsed electromagnetic fields, a type of time-varying field, have been widely used in clinical studies for treating fractures, osteoporosis, and non-union. However, current clinical applications are limited to low-frequency, and research on the relationship between frequency and biological effects remains insufficient. We believe that different types of electromagnetic fields acting on bone can induce various “secondary physical quantities”, such as magnetism, force, electricity, acoustics, and thermal energy, which can stimulate bone cells either individually or simultaneously. Bone cells possess specific electromagnetic properties, and in a static magnetic field, the presence of a magnetic field gradient can exert a certain magnetism on the bone tissue, leading to observable effects. In a time-varying magnetic field, the charged particles within the bone experience varying Lorentz forces, causing vibrations and generating acoustic effects. Additionally, as the frequency of the time-varying field increases, induced currents or potentials can be generated within the bone, leading to electrical effects. When the frequency and power exceed a certain threshold, electromagnetic energy can be converted into thermal energy, producing thermal effects. In summary, external electromagnetic fields with different characteristics can generate multiple physical quantities within biological tissues, such as magnetic, electric, mechanical, acoustic, and thermal effects. These physical quantities may also interact and couple with each other, stimulating the biological tissues in a combined or composite manner, thereby producing biological effects. This understanding is key to elucidating the electromagnetic mechanisms of how electromagnetic fields influence biological tissues. In the study of electromagnetic fields for bone remodeling diseases, attention should be paid to the biological effects of bone remodeling under different electromagnetic wave characteristics. This includes exploring innovative electromagnetic source technologies applicable to bone remodeling, identifying safe and effective electromagnetic field parameters, and combining basic research with technological invention to develop scientifically grounded, advanced key technologies for innovative electromagnetic treatment devices targeting bone remodeling diseases. In conclusion, electromagnetic fields and multiple physical factors have the potential to prevent and treat bone remodeling diseases, and have significant application prospects.

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 investigate the effect of total glu-cosides of paeony on inflammatory injury and TLR4/NF-κB/NLRP3 pathway in autoimmune thyroiditis(AIT)rats.Methods The experiment was divided into control group,model group,total glucosides of pae-ony(TGP),TLR4 inhibitor group and TGP+TLR4 ag-onist group,with 10 animals in each group.Except for the control group,the rats in other groups were subcu-taneously injected with thyroglobulin and Freund's ad-juvant to induce the AIT rat model.After six weeks of administration,thyroid histopathological changes were observed using hematoxylin-eosin(HE)staining;ser-um levels of TPOAb,TgAb,TSH,T3,T4,TNF-α,INF-γ,IL-1 β and IL-1 β were detected by enzyme-linked immunosorbent assay(ELISA);TLR4/NF-κB/NLRP3 pathway mRNAs and proteins expression in thyroid tis-sues were detected by RT-qPCR and Western blot.Re-sults Compared with the control group,the thyroid follicular epithelium of rats was significantly damaged,and the serum levels of TPOAb,TgAb,TSH,T3,T4,TNF-α,INF-γ,IL-1 β and IL-1 β increased(P＜0.01).The expression of TLR4/NF-κB/NLRP3 path-way mRNAs and proteins increased in the model group(P＜0.01).Compared with the model group,the damage of thyroid follicular epithelium was alleviated,and the serum levels of TPOAb,TgAb,TSH,T3,T4,TNF-α,INF-γ,IL-1 β and IL-1 β were reduced(P＜0.01),the expression of TLR4/NF-κB/NLRP3 path-way mRNAs and proteins were down-regulated in the TGP group and TLR4 inhibitor group(P＜0.01).Compared with TGP group,the damage of thyroid follic-ular epithelium was aggravated,and the levels of serum TPOAb,TgAb,TSH,T3,T4,TNF-α,INF-γ,IL-1 β and IL-1 β were elevated(P＜0.05 or P＜0.01),the pro-tein expressions of TLR4/NF-κB/NLRP3 pathway mR-NAs and proteins were up-regulated in TGP+TLR4 ag-onist group(P＜0.05 or P＜0.01).Conclusions TGP may play a protective role in thyroid by inhibiting the TLR4/NF-κB/NLRP3 pathway and improving the inflammatory injury of thyroid tissues.

Aim To reveal the mechanism of Chaijin Jieyu Anshen tablets(CJJYAS)regulating CaMKII and Cofilin dual signal pathway to improve synaptic remod-eling of glutaminergic hippocampal neurons in depres-sion.Methods The cell model of depression was es-tablished by corticosterone and lipopolysaccharide.The cells were randomly divided into the control group,model group,GR blocker group,GR agonist group,CX3CR1 blockergroup,CX3CR1 agonist group,CJJ-YAS group,CJJYAS combined with GR agonist group,and CJJYAS combined with CX3CR1 agonist group.Cell imaging analysis was used to observe the morpho-logical and structural changes of astrocytes,microglia,anterior cingulate cortex(ACC)and hippocampal(HPC)glutaminergic neurons.Immunofluorescence was used to test the activation of ACC and HPC glu-taminergic neurons and synaptic remodeling.Immuno-fluorescence and Western blot were respectively used to detect the expressions of synaptic remodeling-related proteins N-methyl-D-asprtate receptor 2A(GRIN2A),GRIN2B,CaMKII,MK2 and Cofilin in HPC glutamin-ergic neurons.Results CJJYAS could significantly improve the morphological and structural damage of as-trocytes,microglia,ACC and HPC neurons.Further-more,CJJYAS markedly restrained the excessive acti-vation of ACC and HPC glutaminergic neurons and the hippocampal synaptic plasticity damage and synaptic remodeling via down-regulating GRIN2A,GRIN2B and MK2 proteins,and up-regulating CaMKII and Cofilin protein.Conclusions CJJYAS effectively alleviate the synaptic remodeling of glutaminergic hippocampal neurons in depression,and its molecular mechanism might be associated with the regulation of synapse-re-lated NR/CaMKII and MK2/Cofilin signaling path-ways.

Objective To verify the safety and efficacy of a new portable extracorporeal membrane oxygenation(ECMO)system(Xijing Advanced Life Support System JC-Ⅲ)in large animals.Methods A total of 10 healthy small fat-tail sheep underwent veno-arterial extracorporeal membrane oxygenation(VA-ECMO)support by carotid arterial-jugular catheterization to evaluate the performance of the JC-Ⅲ ECMO system.Systemic anticoagulation was achieved by continuous infusion of heparin.Active coagulation time(ACT)was recorded every 2 hours during the experiment,and the ACT was maintained between 200-250 s.Centrifugal pump speed is set at 3 000-3 500 r/min.The changes of hemoglobin,blood cell counts,hematocrit,liver and kidney function were monitored before and 24 h after ECMO initiation,respectively.After the experiment,the pump and oxygenator were dissected to probe the thrombosis.Results The success rate of VA-ECMO operation was 100％,and there was no hemolysis,pump thrombosis and oxygenator thrombosis after 24 h of ECMO.Before and after the operation,there were no significant changes in indicators such as hemoglobin content,white blood cell counts,platelet counts,alanine aminotransferase concentration,aspartate aminotransferase concentration,urea,creatinine,high-sensitivity troponin Ⅰ,and N-terminal pro-brain natriuretic peptide(all P＞0.05).Conclusions This in vivo study confirms that Xijing Advanced Life support System JC-Ⅲ is safe and effective.

Objective To investigate the safety and efficacy of novel bioabsorbable vascular scaffold(BVS)in the treatment of patients with complex coronary artery disease.Methods This was a retrospective,matched,single-center observational study.45 patients with coronary atherosclerotic cardiopathy received BVS treatment in the cardiovascular medicine department Department of the Affiliated Hospital of Guangdong Medical University from June 2020 to June 2021(BVS),and 45 patients treated with drug-eluting stents(DES)group were selected according to matching study requirements during the same period.Baseline,surgical,and follow-up data were compared between the two groups to evaluate safety and efficacy.The main measures of safety were:surgical time,intraoperative adverse events,etc.,and the end point of efficacy was target lesion failure(TLF),including cardiac death,target vessel myocardial infarction,and ischa-driven target lesion revascularization.Results A total of 90 patients were enrolled in this study,all of whom were followed up for at least 3 years.There were 20 cases of bifurcation lesions and 25 cases of diffuse long lesions in the two groups,and 50 cases of imaging were reviewed among the 90 patients.The proportion of stable coronary heart disease,history of diabetes,history of hypertension,history of smoking,pre-dilated balloon pressure and postoperative diastolic blood pressure in BVS group was higher than that in DES group,and the proportion of family history was lower than that in DES group(all P＜0.05).There were no statistically significant differences in the rates of cardiac death,target vessel myocardial infarction,and ischemia-driven revascularization of target lesions between the two groups(all P＞0.05).Binary Logistic regression model analysis showed that the diameter stenosis ratio of target lesions was an independent risk factor for intrastent restenosis(OR 2.786,95％CI 1.096-7.081,P=0.031).Conclusions Compared with traditional DES,BVS implantation has consistent safety and efficacy in the treatment of complex coronary artery disease within 3 years.The diameter stenosis ratio of target lesions was an independent risk factor for intrastent restenosis.

Vaccines are among the most effec-tive measures for preventing infectious diseases and play a crucial role in controlling the spread of these diseases.Adjuvants,serving as auxiliary com-ponents in vaccines,are indispensable in the vac-cine development process.Ideal adjuvants not only enhance the immune response,enabling the body to achieve optimal protective immunity but also play important roles in reducing the dosage of im-munogens and lowering vaccine production costs.To meet the demands of novel vaccines,many new types of adjuvants have been developed.However,there is still a lack of adjuvants that are safe,effec-tive,easy to prepare,highly pure,and suitable for a variety of vaccines in clinical settings.This article categorizes adjuvants and summarizes their mecha-nisms of action and characteristics,focusing on tra-ditional aluminum salt adjuvants and more modern lipid-based and nucleic acid-based adjuvants.The summary is based on a computer search of data-bases including PubMed,Embase,The Cochrane Li-brary,CNKI(China National Knowledge Infrastruc-ture),VIP Database,and Wanfang Database,using English search keywords such as Adjuvants,Vac-cine,Vaccine Adjuvant,aluminum salts,MF59,AS03,Toll-like receptor agonist,etc.,and corre-sponding Chinese search terms.The aim is to pro-vide references for the development and applica-tion of adjuvants.

Interleukin-35(IL-35)is an important immunosuppressive cytokine that has been shown to play a role in the immune response of various diseases.In this study,we cloned the coding sequence of human IL-35 gene,constructed single subunit expression vectors pXC17.4-p35 and pcDNA3.1(+)-EBI3,and co-transfected CHO-K1 cells to express IL-35 in vitro.No binding was found between subunits of p35 and EBI3.Knobs-into-Holes(KIH)can solve the problem of heavy chain mismatch of heterolo-gous antibodies.Therefore,expression vectors pXC17.4-p35-Fch and pcDNA3.1(+)-EBI3-Fck were constructed by fusing KIH structures on the basis of the original sequences to express the recombinant fu-sion protein of KIH-IL-35.The expression vectors of two subunits were exchanged at the same time to verify the influence of different vectors on the expression level of KIH-IL-35.The analysis of various pro-tein detection methods showed that the correct expression rate of KIH-IL-35 structure was significantly im-proved.Affinity purification of KIH-IL-35 was performed after large amount of expression,and the bind-ing activity of KIH-IL-35 to glycoprotein 130(gp130)was detected by ELISA.The results showed that the binding of KIH-IL-35 to gp130 was concentration dependent.The indirect activity of KIH-IL-35 and M1 cells was detected by cell activity assay.Further results showed that the inhibition rate of M1 cells in-creased in a dose-dependent manner with the concentration of KIH-IL-35.In addition,a method for de-termining IL-35 activity by activated human peripheral blood mononuclear cells was successfully estab-lished.Activated PBMCs increased in a dose-dependent manner with KIH-IL-35 concentration.In sum-mary,this study utilized the KIH-IL-35 model to enhance the expression of recombinant human IL-35 and validated its high activity in vitro,providing new ideas for the study of IL-35 and the recombinant expres-sion of similar heterodimeric cytokines.

Mytilus is one of bivalves with great economic and ecological values.The innate immune de-fense of Mytilus shows great significance in the study of marine biological immunology.Hemolymph is the main immune tissue for Mytilus.The Nanopore full-length transcriptome of Mytilus coruscus hemocytes,and the serum differential proteomics based on SDS-PAGE analysis were performed to identify key pro-teins involving in the immune response of Mytilus hemolymph in response of different bacteria and fungi stresses.A total of 44 proteins were identified in the serum induced by different microorganisms.Among them,26 proteins showed significant differential expression level in response to different microbial stres-ses,and their functions were involved in protein folding protection,cell autophagy and apoptosis regula-tion,reactive oxygen species production,energy metabolism regulation,cell detoxification,and immune regulation.The changes in expression levels of these proteins varied in response to different bacterial and fungal stresses,suggesting that Mytilus has different immune response strategies to different bacterial and fungal stresses.The results provide a new scientific basis for understanding the differential immune mech-anism of Mytilus innate immune system in response to different types of microbial invasion,as well as the screening of specific biomarker proteins for microbial infection,and provide ideas for the healthy develop-ment and disease prevention of shellfish aquaculture.

Objective:To explore the effects of pre-transplant controlling nutritional status(CONUT)and post-transplant minimal residual disease(MRD)on prognosis of patients with multiple myeloma(MM)after autologous hematopoietic stem cell transplantation(auto-HSCT).Methods:The clinical data of 79 patients who received auto-HSCT from 2011 to 2020 in The First Affiliated Hospital of Chongqing Medical University were retrospectively analyzed.The patients were divided into Low-CONUT group(n=62)and High-CONUT group(n=17)according to whether the CONUT score was less than 5.The differences in clinical features,hematopoietic reconstruction,adverse reactions,efficacy and survival between the two groups were compared.In addition,the prognostic risk factors were analyzed and verified by time-dependent ROC curve.Results:The proportions of male patients and bone marrow plasma cells＞30％at initial diagnosis in High-CONUT group were both higher than those in Low-CONUT group(both P＜0.05).While,there were no significant differences in hematopoietic reconstruction and adverse reactions(＞grade 2)between the two groups.The complete response(CR)rate and CR+very good partial response(VGPR)rate before transplantation in Low-CONUT group were both significantly higher than those in High-CONUT group(both P＜0.05).After 3 months of transplantation,the CR+VGPR rate still remained an advantage in Low-CONUT group compared with High-CONUT group(P＜0.01),but CR rate did not(P＞0.05).The overall survival(OS)and progression-free survival(PFS)in Low-CONUT group were both superior to those in High-CONUT group(both P＜0.05).Low CONUT score(0-4)before transplantation and negative MRD at 6 months after transplantation were favorable factors affecting OS and PFS(both P＜0.05),while the International Myeloma Working Group(IMWG)high-risk at initial diagnosis and lactate dehydrogenase(LDH)level＞250 U/L before transplantation were only risk factors for PFS(both P＜0.05).Time-dependent ROC curve analysis showed that pre-transplant CONUT score and MRD status at 6 months after transplantation could independently or jointly predict 1-and 2-year OS and PFS,and the combined prediction was more effective.Conclusion:The combination of pre-transplant CONUT and post-transplant MRD can better predict the prognosis of MM patients.