BACKGROUND:Gradient artificial bone repair scaffolds can mimic unique anatomical features in musculoskeletal tissues,showing great potential for repairing injured musculoskeletal tissues. OBJECTIVE:To review the latest research advances in gradient artificial bone repair scaffolds for tissue engineering in the musculoskeletal system and describe their advantages and fabrication strategies. METHODS:The first author of the article searched the Web of Science and PubMed databases for articles published from 2000 to 2023 with search terms"gradient,bone regeneration,scaffold".Finally,76 papers were analyzed and summarized after the screening. RESULTS AND CONCLUSION:(1)As an important means of efficient and high-quality repair of skeletal system tissues,gradient artificial bone repair scaffolds are currently designed bionically for the natural gradient characteristics of bone tissue,bone-cartilage,and tendon-bone tissue.These scaffolds can mimic the extracellular matrix of native tissues to a certain extent in terms of structure and composition,thus promoting cell adhesion,migration,proliferation,differentiation,and regenerative recovery of damaged tissues to their native state.(2)Advanced manufacturing technology provides more possibilities for gradient artificial bone repair scaffold preparation:Gradient electrospun fiber scaffolds constructed by spatially differentiated fiber arrangement and loading of biologically active substances have been developed;gradient 3D printed scaffolds fabricated by layered stacking,graded porosity,and bio-3D printing technology;gradient hydrogel scaffolds fabricated by in-situ layered injections,simple layer-by-layer stacking,and freeze-drying method;and in addition,there are also scaffolds made by other modalities or multi-method coupling.These scaffolds have demonstrated good biocompatibility in vitro experiments,were able to accelerate tissue regeneration in small animal tests,and were observed to have significantly improved histological structure.(3)The currently developed gradient artificial bone repair scaffolds have problems such as mismatch of gradient scales,unclear material-tissue interactions,and side effects caused by degradation products,which need to be further optimized by combining the strengths of related disciplines and clinical needs in the future.

Guided by the theory of "mutual dependence of ascending and descending"， recurrent pediatric cough and asthma are considered to result from the imbalance of the ascending and descending of zang-fu organ qi， which is closely associated with deficiency， phlegm， and blood stasis. In clinical practice， the disease is treated based on differentiation during the initial stage， progression stage， and stable stage. In the initial stage， the pathogenesis is attributed to lung deficiency complicated by external pathogens and liver qi rising to attack the lung； the treatment should focus on restraining the lung and calming the liver， using the self-formulated Longchai Yuchuan Fomulation （龙柴愈喘方）. During the progression stage， the disorder is due to the spleen failing to ascend clear qi and the kidney failing to grasp qi， leading to phlegm formation from deficiency； treatment should focus on tonifying spleen yang， supplementing kidney qi， and resolving phlegm and fluid retention， using a modified combination of Linggui Zhugan Decoction （苓桂术甘汤） and Jinkui Shenqi Pill （金匮肾气丸）. In the stable stage， qi deficiency leads to poor consolidation， with phlegm turbidity and blood stasis； the treatment should aim at tonifying qi， transforming phlegm， and dispelling blood stasis， using a modified version of Guizhi Fuling Pill （桂枝茯苓丸）.

This paper summarizes Professor WANG Xiuxia's clinical experience in treating hyperprolactinemia using the liver soothing therapy. Professor WANG identifies liver qi stagnation and rebellious chong qi （冲气） as the core pathomechanisms of hyperprolactinemia. Furthermore， liver qi stagnation may transform into fire or lead to pathological changes such as spleen deficiency with phlegm obstruction or kidney deficiency with essence depletion. The treatment strategy centers on soothing the liver， with a modified version of Qinggan Jieyu Decoction （清肝解郁汤） as the base formula. Depending on different syndrome patterns such as liver stagnation transforming into fire， liver stagnation with spleen deficiency， or liver stagnation with kidney deficiency， heat clearing， spleen strengthening， or kidney tonifying herbs are added accordingly. In addition， three paired herb combinations are commonly used for symptom specific treatment， Danggui （Angelica sinensis） with Chuanxiong （Ligusticum chuanxiong）， Zelan （Lycopus lucidus） with Yimucao （Leonurus japonicus） ， and Jiegeng （Platycodon grandiflorus） with Zisu （Perilla frutescens）.

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.

BACKGROUND:Bone mineral density is the clinical gold standard for determining bone strength,but bone mineral density is less sensitive to changes in bone mass,with large changes in bone mineral density only occurring when bone mass is significantly reduced,so bone mineral density has limited ability to predict changes in bone strength and fracture risk. OBJECTIVE:A model of the normal and osteoporotic hip joint was developed to analyze the stresses and deformation in the hip of normal and osteoporotic patients under single-leg standing conditions. METHODS:A healthy adult female volunteer at the age of 36 years was selected as the study subject.The CT data of the hip joint of this volunteer were obtained and saved in DICOM format.The hip joint model was reconstructed in three dimensions,and the material properties were assigned by the gray value assignment method to obtain the normal and osteoporotic hip joint models according to the empirical formula.The same boundary conditions and loads were set to simulate the stresses and deformation in the normal and osteoporotic hip joints in the single-leg standing position. RESULTS AND CONCLUSION:(1)In the finite element model of the normal and osteoporotic hip,the stress distribution was more concentrated in the medial region of the femoral neck.(2)In the hip bone,the stress distribution was mainly concentrated in the upper part of the acetabulum.(3)The stress peaks in the medial femoral neck and upper acetabulum were larger in the normal hip model than in the osteoporotic hip model,probably due to the reduced bone strength of the osteoporotic bone.(4)The peak Von Mises of both normal and osteoporotic hip models were concentrated on the medial femoral neck,and the peak Von Mises of the hip bone was smaller,indicating that the overall effect of osteoporosis on hip bone stresses was relatively small.(5)In terms of deformation in the single-leg standing position,the maximum deformation in the normal hip model was located at the acetabulum and femoral head,and the maximum deformation was located at the upper part of the greater trochanter of the femur.(6)It is suggested that the finite element analysis method to model the values of parameters related to bone tissue in osteoporosis may improve clinical prediction of bone strength changes and fracture risk.It is explained from the biomechanical view that the intertrochanteric femur and femoral neck are good sites for osteoporotic hip fractures.

AIM To determine the contents of aspartic acid,glutamic acid,serine,glycine,threonine,citrulline,arginine,alanine,γ-amino-butyric acid,tyrosine,valine,phenlalanine,isoleucine,ornithine,leucine,lysine and proline in Gualoupi Injection and its intermediates,and to analyze their change laws.METHODS The OPA-FMOC online derivatization analysis was performed on a 45℃ thermostatic Waters XBridge C18 column(4.6 mm×100 mm,3.5 μm),with the mobile phase comprising of phosphate buffer solution-[methanol-acetonitrile-water(45 : 45 : 10)]flowing at 1 mL/min in a gradient elution manner,and the detection wavelengths were set at 262,338 nm.Principal component analysis and heatmap analysis were adopted in chemical pattern recognition for the corresponding intermediates in ten processes of six batches of samples.RESULTS Seventeen amino acids showed good linear relationships within their own ranges(R2>0.998 0),whose average recoveries were 83.4％-119.5％with the RSDs of 0.91％-7.94％.Different batches of samples in the same process were clustered,and the corresponding intermediates in different processed were clustered into three groups.Alcohol precipitation and cation exchange column demonstrated the biggest influences on amino acid composition.CONCLUSION This experiment can provide important references for the critical factors on quality control of Gualoupi Injection,thus ensure the stability and uniformity of final product.

Objective To investigate the clinical effect of modified suspension reduction method combined with percuta-neous vertebroplasty in the treatment of osteoporotic thoracolumbar compression fractures.Methods From February 2020 to October 2021,92 patients with thoracolumbar osteoporotic compression fracture were treated by percutaneous vertebroplasty.According to different treatment methods,they were divided into the observation group and the control group.The observation group was treated with modified suspension reduction and then percutaneous vertebroplasty,while the control group was treated with percutaneous vertebroplasty alone.The observation group(47 cases),including 20 males and 27 females,the age ranged from 59 to 76 years old with an average of(69.74±4.50)years old,fractured vertebral bodies:T10(2 cases),T11(7 cases),T12(19 cases),L1(14 cases),L2(5 cases);the control group(45 cases),including 21 males and 24 females,the age ranged from 61 to 78 years old with an average of(71.02±3.58)years old,fractured vertebral bodies:T10(3 cases),T11(8 cases),T12(17 cas-es),L1(12 cases),L2(5 cases);The leakage of bone cement were observed,the visual analogue scale(VAS),Oswestry lumbar dysfunction index(ODI),anterior vertebrae height(AVH),Cobb angle of kyphosis and the amount of bone cement injected before and after operation were recorded and compared between the two groups.Results All patients were followed up,ranged from 6 to1O with an average of(8.45±1.73)months.Two patients ocurred bone cement leakage in observation group and 3 pa-tients in control group.AVH of observation group increased(P＜0.05)and Cobb angle of injured vertebrae decreased(P＜0.05).Cobb angle of injured vertebrae and AVH of the control group were not significantly changed(P＞0.05).Cobb angle of injured vertebrae of the observation group was lower than that of control group(P＜0.05)and AVH was higher than that of the control group(P＜0.05).In the observation group,VAS before operation and 1 week,3 and 6 months after operation respective-ly were(7.32±1.05)scores,(3.56±1.18)scores,(1.83±0.67)scores,(1.27±0.34)scores,and ODI were(40.12±14.69)scores,(23.76±10.19)scores,(20.15±6.39)scores,(13.45±3.46)scores.In the control group,VAS before operation and 1 week,3 and 6 months after operation respectively were(7.11±5.26)scores,(3.82±0.68)scores,(1.94±0.88)scores,(1.36± 0.52)scores,and ODI were(41.38±10.23)scores,(25.13±14.22)scores,(20.61±5.82)scores,(14.55±5.27)scores.The scores of VAS and ODI after operation were lower than those before operation(P＜0.05),but there was no significant difference between the two groups(P＜0.05).Conclusion Modified suspension reduction method combined with PVP surgery for osteo-porotic thoracolumbar compression fractures has achieved good clinical results,which can effectively relieve lumbar back pain,restore vertebral height,correct kyphosis,improve lumbar function and patients'quality of life.

Objective This study aimed to explore the relationships between residential greenness and cardiometabolic risk factors among rural adults in Xinjiang Uygur Autonomous Region(Xinjiang)and thus provide a theoretical basis and data support for improving the health of residents in this region. Methods We recruited 9,723 adult rural residents from the 51st Regiment of the Third Division of the Xinjiang Production and Construction Corps in September 2016.The normalized difference vegetation index(NDVI)was used to estimate residential greenness.The generalized linear mixed model(GLMM)was used to examine the association between residential greenness and cardiometabolic risk factors. Results Higher residential greenness was associated with lower cardiometabolic risk factor prevalence.After adjustments were made for age,sex,education,and marital status,for each interquartile range(IQR)increase of NDVI500-m,the risk of hypertension was reduced by 10.3%(OR=0.897,95%CI=0.836-0.962),the risk of obesity by 20.5%(OR=0.795,95%CI=0.695-0.910),the risk of type 2 diabetes by 15.1%(OR=0.849,95%CI=0.740-0.974),and the risk of dyslipidemia by 10.5%(OR=0.895,95%CI=0.825-0.971).Risk factor aggregation was reduced by 20.4%(OR=0.796,95%CI=0.716-0.885)for the same.Stratified analysis showed that NDVI500-m was associated more strongly with hypertension,dyslipidemia,and risk factor aggregation among male participants.The association of NDVI500-m with type 2 diabetes was stronger among participants with a higher education level.PM10 and physical activity mediated 1.9%-9.2%of the associations between NDVI500-m and obesity,dyslipidemia,and risk factor aggregation. Conclusion Higher residential greenness has a protective effect against cardiometabolic risk factors among rural residents in Xinjiang.Increasing the area of green space around residences is an effective measure to reduce the burden of cardiometabolic-related diseases among rural residents in Xinjiang.

Objective To explore the relationships between headache and pulmonary function,chronic lung disease(CLD)in middle-aged and elderly people in China.Methods This cross-sectional study collected data from participants aged 45 and above in the 2015 China Health and Retirement Longitudinal Study(CHARLS).Headache was diagnosed based on self-report,and CLD and asthma were defined by self-reported doctor diagnoses or a combination of health assessments and medication use.Peak expiratory flow(PEF)was used as an indicator of pulmonary function.Multivariable logistic regression model was used to analyze the correlations between PEF,asthma,CLD,and headache.Relationship between PEF and headache was analyzed by restricted cubic spline(RCS)analysis and subgroup analysis.Results Among 12 661 middle-aged and elderly participants,the prevalence of headache was 14.42%(1 826/12 661),with a prevalence of 9.07%(558/6 151)in males and 19.48%(1 268/6 510)in females.After full adjustment for covariates,each 1 L/s increase in PEF was associated with a 7%reduction in the risk of headache(odds ratio[OR]=0.93,95%confidence interval[CI]0.90-0.96,P＜0.001).Categorizing PEF into quartiles(Q1-Q4),as the increase of PEF,the risk of headache significantly decreased(ORs for Q2,Q3,and Q4 were 0.92,0.82,and 0.72,respectively,Ptrend＜0.001).Additionally,asthma(OR=1.78,95%CI 1.43-2.20,P＜0.001)and CLD(OR=2.21,95%CI 1.92-2.53,P＜0.001)were positively associated with the risk of headache.RCS analysis indicated a negative linear correlation between PEF and the risk of headache(Poverall＜0.001,Pnon-linear=0.57).Subgroup analysis revealed that a history of hypertension had a significant impact on the negative association between PEF and headache(Pinteraction＜0.001).Conclusion There is a significant negative correlation between PEF and headache among middle-aged and elderly people in China,while asthma and CLD are positively associated with headache.Improving lung function in middle-aged and elderly populations may be an effective strategy for preventing or alleviating headache.

Objective To investigate the protective effects and underlying mechanisms of sodium butyrate on rats exposed to hypoxia and cold conditions.Methods Fifty-eight male SD rats (aged 7～8 weeks,weighing 240～260 g ) were randomly divided into normoxia normothermia saline control (NNC ) group (n=10),normoxia normothermia sodium butyrate(NNB)group(n=10),hypoxia cold saline control (HCC) group (n=19),and hypoxia cold sodium butyrate (HCB)group (n=19).The intragastric dose of sodium butyrate was 200 mg/kg for the NNB and HCB groups,while the NNC and HCC groups were given normal saline of 5 mL/kg.①After continuous intragastric administration for 7 d,the rats in the HCC and HCB groups were placed in a low-pressure hypoxic chamber to simulate an altitude of 5000 m and exposed to a temperature of 8 ℃ for 7 d.Subsequently,blood samples were collected from the abdominal aorta for blood gas analysis,blood routine test,and detection for serum biochemical indicators.ELISA was used to determine serum inflammatory cytokines and endocrine hormones.The rats in the NNC and NNB groups(n=10)were fed outside the chamber and underwent the same tests in 7 d later to evaluate the protective effects of sodium butyrate on the body.②Core body temperature monitoring was conducted to assess the impact of sodium butyrate on the rmoregulation in rats exposed to hypoxia and cold(n=3).③Hypoxia exercise tolerance of the HCC group and HCB group in a hypoxic chamber (11％O2 )was evaluated for their hypoxia resistance (n=6).Results Compared to the NNC group,the rats in the HCC group exhibited significant decreases in arterial oxygen saturation (SaO2 )and arterial oxygen partial pressure (PaO2 ),serum levels of IL-4,estradiol (E2)and cortisol (F),core temperature,and exercise duration (P<0.05),and had notably increased levels of red blood cell (RBC)count,hemoglobin (HGB),hematocrit (HCT),cardiac troponin (CRDAC-T),uric acid (UA),alanine aminotransferase (ALT),total cholesterol (TC),low-density lipoprotein (LDL),IL-6 and granulocyte-macrophage colony-stimulating factor (GM-CSF)(P<0.05).Compared to the HCC group,the rats in the HCB group exhibited significant increases in SaO2,PaO2,IL-4,E2,F,corticotropin releasing hormone (CRH)and adrenocorticotropic hormone (ACTH)(P<0.05),remarkably longer exercise duration under hypoxic exposure (P<0.05 ),but decreases in RBC count,serum levels of HGB,HCT,CRDAC-T,UA,ALT,TC,LDL,IL-6,GM-CSF and free thyroxine (FT4 ),and core temperature (P<0.05).Conclusion Sodium butyrate exhibits protective effects on rats exposed to hypoxia and cold conditions,and it is helpful in their adaptation to these hypoxia and cold environments.