695 results about "Bone quality" patented technology

The invention provides a multi-modal data and interaction quantification-based senile osteoporosis dynamic risk assessment method. The method comprises the steps of screening effective variables in candidate risk factors; collecting structured data and unstructured data, and cleaning and standardizing the data to obtain multi-mode data of a patient; calculating a statistical weight and a clinical weight to obtain a multi-dimensional weight, calculating a dynamic total risk integral of an effective variable, and quantifying a variable interaction effect; and carrying out risk level layering and clinical intervention suggestion to obtain a dynamic risk assessment result, and then carrying out internal cross validation and external data set validation. According to the method, data full coverage, weight self-adaption and risk dynamic interaction analysis can be achieved, scientificity, sensitivity and clinical friendliness of osteoporosis screening are greatly improved, the method is low in cost and high in prediction precision, risk grading is associated with specific prevention and treatment measures, and a prevention and treatment integrated information closed loop is achieved.

The invention provides an osteoporosis automatic diagnosis method and system based on position specific attention, and the method comprises the steps: carrying out the dual-channel enhancement preprocessing of a lumbar CT image, and generating an enhanced image taking the bone mineral density and the bone trabecula structure characteristics into consideration; inputting the enhanced image into a deep convolutional neural network for multi-scale feature extraction to obtain a feature map containing spatial semantic information; on the basis of the anatomical position index information, generating attention weighted features which highlight the key diagnosis area of the vertebral body; global pooling is carried out on the attention weighted features, and then comprehensive diagnosis features containing anatomical priori knowledge are constructed; and inputting the comprehensive diagnosis features into a classifier to realize centrum-level accurate diagnosis. According to the invention, the workload of radiologists can be effectively relieved, and the efficiency and coverage of osteoporosis screening can be improved. Especially under the condition that primary medical institutions are lack of experienced radiologists, the primary medical service level can be improved.

The invention relates to a metabolic marker for diagnosing diabetic secondary osteoporosis and application of the metabolic marker, and belongs to the technical field of biological medicine. The method comprises the following steps: firstly, screening out obviously different metabolites between osteoporosis (DOP) and osteoporosis-free groups (DM) in diabetic patients; and secondly, screening out significant difference metabolites between the primary osteoporosis patient and the healthy control group, and excluding the intersection of the two groups of difference metabolites to obtain metabolites which exclude the influence of the primary osteoporosis. Metabolic markers, namely cytosine nucleotide, ketoglutaric acid and triethylamine, are obtained through further screening, and when the three metabolic markers are independently used, AUCgt; the AUC during combined use is 0.99, so that the limitation that the sensitivity of the traditional bone mineral density detection on the osteoporosis recognition in the diabetic population is insufficient is effectively made up.

The invention belongs to the technical field of biological medicine, and discloses a probiotic agent capable of improving the physiological activity function of vitamin D and maintaining bone health and application of the probiotic agent. The invention provides a probiotic agent composed of bifidobacterium adolescentis and bifidobacterium longum, the probiotic agent can significantly improve the bone mineral density, the bone trabecula thickness, the bone trabecula number, the bone trabecula connectivity and the bone volume fraction of an osteoporosis mouse, and meanwhile, the bone trabecula separation degree of the osteoporosis-removed mouse is significantly reduced; the level of vitamin D metabolites such as 25-hydroxy vitamin D and 1, 25-dihydroxy vitamin D in mouse serum is improved; the content of serum calcium and alkaline phosphatase in serum of mice is reduced, and the level of osteocalcin and type I procollagen amino terminal peptide in the serum is improved. The probiotic agent can relieve bone calcium loss, maintain bone health, repair bone injury, increase osteoblasts and reduce the osteoporosis degree, and can be used for preparing drugs for preventing and / or treating osteoporosis or preparing health care products or food beneficial to improving bone mineral density.

The invention provides an osteoporosis auxiliary diagnosis method fusing CT image features and a semantic knowledge graph, and the method is characterized in that the method comprises the steps: multi-source heterogeneous data collection and standardization processing; constructing a modal exclusive depth coding network; mapping and aligning a unified semantic space; carrying out multi-level cross-modal attention fusion; self-adaptive segmentation and feature enhancement of anatomical perception are carried out; semantic reasoning guided by the knowledge graph; performing multi-task collaborative diagnosis output; and training optimization and interference elimination. Through automatic multi-modal analysis and intelligent diagnosis, the workload of doctors in the imaging department is remarkably relieved, and the diagnosis time of a single example is shortened to be within 3 minutes from the average 15-20 minutes. The standardized diagnosis process of the system improves the diagnosis consistency among different doctors, reduces the diagnosis deviation caused by experience difference, and helps primary hospitals to improve the osteoporosis diagnosis and treatment level.

The invention relates to the technical field of biomedical materials, in particular to a titanium implant multifunctional composite coating with anti-active oxygen and anti-inflammatory dual performance and a preparation method of the titanium implant multifunctional composite coating. The coating is composed of a lanthanum oxide (La2O3) nano-particle layer growing on the surface of the titanium implant in situ and queen lily glycoside A (RA) loaded on the lanthanum oxide (La2O3) nano-particle layer and can continuously release La < 3 + > and RA. The preparation method comprises the following steps: performing alkali heat treatment on the titanium substrate; a La (OH) 3 coating is synthesized on the surface in situ through a hydrothermal reaction; the La2O3 nano-particles are calcined and converted into a La2O3 nano-particle layer with a porous structure; and finally loading RA through an impregnation method. The coating can effectively remove ROS, regulate immune inflammatory response, promote osteogenic differentiation and inhibit osteoclast activity, thereby remarkably promoting osseointegration. The problem of osseointegration under the osteoporosis pathological microenvironment is effectively solved, the preparation process is simple and controllable, and the composition is suitable for bone defect repair of osteoporosis patients and has important clinical application value.

The invention discloses an impacted wisdom tooth extraction resistance analysis simulation method and system based on CBCT and AI segmentation, is suitable for scenes of extraction resistance intelligent analysis and preoperative path simulation of impacted wisdom teeth, and assesses risks by automatically measuring the minimum spatial distance between the tooth root tip of a wisdom tooth to be extracted and a dental nerve tube. A resistance removal strategy is selected by performing three-dimensional mechanical analysis on adjacent tooth resistance, bone resistance and tooth root resistance of a wisdom tooth to be extracted, and a wisdom tooth extraction simulation path is planned based on a risk assessment result and the resistance removal strategy. According to the method, complex impacted wisdom teeth are analyzed for the first time, risk assessment and three-dimensional mechanical analysis related to an operation are achieved, and special modeling, risk assessment and tooth extraction resistance analysis can be conducted on the impacted wisdom teeth, especially the impacted mandibular wisdom teeth which are high-risk conditions that the shapes of adjacent neural tubes and tooth roots are complex and resistance sources are diversified; the pull-out difficulty, the resistance source and the intraoperative risk point are reflected, and the clinical use requirements are met.

The invention relates to the technical field of oral implantation guidance, and provides a digital false tooth mounting and positioning device based on three-dimensional scanning and a method thereof. The method comprises the following steps: scanning the oral cavity of a patient through an oral cavity scanner to generate a three-dimensional oral cavity digital model; generating a virtual implant of the patient and corresponding initial implantation parameters based on the three-dimensional oral cavity digital model through a SegFormer segmentation network; based on historical operation data, initial implantation parameters, bone density, patient attributes and occlusal force parameters, a long sequence prediction network is adopted to predict the position offset and bone resorption degree of the virtual implant after osseointegration through a segmented attention mechanism and a network memory cache mechanism, and optimal implantation parameters are obtained; and pushing a visual dynamic model containing the candidate positioning strategy to the user based on the optimal implantation parameter, driving an oral cavity model printer to obtain an implantation guide plate model and an oral cavity environment model, assisting the user in verifying the installation effect of the candidate positioning strategy, and improving the accuracy of false tooth installation and positioning.

The invention discloses a CT-based osteoporosis intelligent diagnosis method and system, and relates to the technical field of medical image diagnosis, and the method comprises the steps: carrying out the positioning of a lumbar region in an abdomen or thoracic and abdominal CT image through a deep learning model; digitally modeling the shape and the internal structure of the vertebral body; and automatic diagnosis of osteoporosis is completed. According to the method, full-automatic positioning, accurate segmentation and intelligent diagnosis of osteoporosis of the lumbar region in a conventional abdomen or thoracic and abdominal CT image are realized, the accuracy and efficiency of diagnosis are remarkably improved, and the problems of strong subjectivity and poor repeatability caused by dependence on manual sketching or simple threshold segmentation in a traditional method are solved; the method can be directly operated based on clinical conventional CT data, is beneficial to large-scale osteoporosis screening and early intervention, and has remarkable clinical popularization significance and technical progress value.

The application discloses a bone health tablet candy rich in marine peptide calcium chelate and a preparation method thereof, and belongs to the technical field of polypeptides, wherein the calcium chelate peptide provided by the application has an amino acid sequence as shown in SEQ ID No.1, and the specific sequence is GETGPA (F21-1), and the calcium binding capacity of the calcium chelate peptide is 4.72±1.06 μg / mg. The bone health tablet candy provided by the application has good calcium absorption promoting activity. The results of a mouse experiment show that the bone health tablet candy does not cause adverse effects on the growth of mice, can reverse high bone conversion caused by osteoporosis, improves the bone biomechanical properties of osteoporotic mice, and thus achieves the effect of enhancing bone density.

The invention belongs to the field of medicines, and particularly relates to application of a new target NCSTN for regulating and controlling bone metabolism and an agonist of the new target NCSTN in preparation of a medicine for preventing or treating osteoporosis. The invention aims to provide a new target NCSTN for regulating and controlling bone metabolism and application of the new target NCSTN in promoting osteogenic activity, inhibiting osteoclast activity and treating osteoporosis. According to the invention, the mechanism of the NCSTN agonist for treating osteoporosis is found for the first time, and the NCSTN agonist has the effects of inhibiting osteoclast maturation and differentiation and promoting osteoblast bone formation function. The mechanism is greatly different from the previously reported mechanism of singly inhibiting bone resorption or singly promoting bone formation, and the osteoporosis treatment which simultaneously acts on bone resorption and bone formation can greatly reduce the adverse reaction of the body to the medicine.

The invention discloses a humanized osteoporosis mouse model and a construction method thereof, and belongs to the technical field of biotechnology and animal models. The invention aims at the core defects of large species difference, insufficient humanization degree, low pathological simulation degree, unstable phenotype and the like of the existing osteoporosis model. The humanized osteoporosis mouse model is constructed through five core steps of experimental animal pretreatment, collagen-nano hydroxyapatite bionic scaffold preparation and cell pre-implantation, immune-bone metabolism double-derived system construction, progressive osteoporosis induction and model identification and verification. According to the method, double-person origination of immune and bone metabolism systems is realized for the first time, the colonization rate and survival time of human cells are greatly improved, the pathological process of clinical postmenopausal osteoporosis is accurately simulated, the phenotype of the model is stable and uniform, the reactivity matching degree with clinical drugs is high, and the method can be widely applied to research and development of anti-osteoporosis drugs and research of pathological mechanisms.

The invention relates to the technical field of medical information, in particular to an osteoporosis risk intelligent early warning method and system based on a big database. The method comprises the following steps: extracting user bone health data in a multi-source health database; evaluating a bone mass state based on the user bone health data; screening osteoporosis risk users in the user bone health data according to the bone mass state; inquiring a medical image of the osteoporosis risk user; extracting a bone mineral density value by using the medical image, and determining a bone mineral density change trend according to the bone mineral density value; detecting the degeneration degree of the bone microstructure by using a medical image; constructing an osteoporosis risk early warning model according to the bone mineral density change trend and the bone microstructure degeneration degree; and inputting the user bone health data into the osteoporosis risk early warning model to generate a risk early warning score. According to the invention, accurate identification and dynamic monitoring of the osteoporosis risk user are realized based on the medical information technology, and the accuracy and response rate of osteoporosis risk early warning are improved.

The invention discloses a yak bone collagen peptide for improving osteoporosis and preparation and application thereof, and relates to the field of biological medicine, the yak bone collagen peptide comprises collagen peptide with the molecular weight of 500-2000 Daltons, contains a glycine-proline-hydroxyproline tripeptide core structure, can promote osteoblast differentiation and inhibit osteoclast activity, and can be used for treating osteoporosis. The amino acid sequence of the collagen peptide is any one of the following sequences: glycine-proline-hydroxyproline-glycine-glutamic acid-arginine, and the amino acid sequence of the collagen peptide is any one of the following sequences: glycine-proline-hydroxyproline-glycine-glutamic acid-arginine; and the amino acid is glycine, proline, hydroxyproline, serine, leucine and alanine. The yak bone collagen peptide has a unique glycine-proline-hydroxyproline tripeptide structure, the molecular weight is controlled within the range of 500-2000 Daltons, the structure can promote osteoblast differentiation and inhibit osteoclast activity at the same time, and the problem that a traditional osteoporosis treatment medicine is single in function is solved.

The invention discloses application of a Chibby1 (CBY1) inhibitor in preparation of an anti-osteoporosis medicine for promoting bone formation, and belongs to the technical field of biological medicines. It is found for the first time that CBY1 can inhibit bone marrow stromal cells from differentiating into osteoblasts, and bone marrow stromal cells with CBY1 gene silencing are increased in osteoblast differentiation. According to the invention, it is proposed for the first time that osteoblast differentiation can be promoted by reducing CBY1 expression or inhibiting the CBY1 function, and the CBY1 inhibitor has the potential of increasing osteogenic activity and preventing and treating osteoporosis by inhibiting CBY1 expression or inhibiting the CBY1 function.

The invention provides an interbody fusion cage and a manufacturing method of the interbody fusion cage. The interbody fusion cage comprises a first end plate assembly, a second end plate assembly and an elastic supporting assembly. The two ends of the elastic supporting assembly are connected with the first end plate assembly and the second end plate assembly respectively. The first end plate assembly comprises an end plate body, a tooth retreating prevention structure and a porous structure, the end face of one end of the end plate body is connected with the elastic supporting assembly, and the end face of the other end of the end plate body is a bearing contact face used for abutting against vertebra tissue; the tooth retreating prevention structure and the porous structure are respectively arranged on the bearing contact surface; the tooth retreating prevention structure protrudes out of the bearing contact surface and is used for being fixedly connected with vertebra tissue; hollowed-out holes are formed in the porous structure and used for allowing a part of growing vertebra tissue to extend into the porous structure. The interbody fusion cage solves the problems that in the prior art, due to the fact that the contact area between an interbody fusion cage and vertebrae is small, postoperative prostheses are prone to disengagement or looseness, end plate sclerotin is damaged, and the fusion efficiency is poor.

The invention discloses a bifidobacterium animalis subsp. Lactis BA-C53 and an application of the bifidobacterium animalis subsp. Lactis BA-C53 in products for improving bone health. The bifidobacterium animalis subsp. Lactis BA-C53 is classified and named as bifidobacterium animalis subsp. Lactis Bifidobacterium animalis subsp. Lactis BA-C53, the preservation number is CCTCC NO: M 2024460, the preservation unit is China Center for Type Culture Collection, and the preservation time is March 11, 2024. The bifidobacterium animalis subsp. Lactis BA-C53 can effectively improve the steady state of intestinal flora of a mouse with osteoporosis induced by estrogen deficiency, so that the relative abundance of phylum firmicalis and phylum actinomycetes is increased, the relative abundance of phylum bacteroides is reduced, and then short-chain fatty acid is generated to activate intestinal immunity and maintain the integrity of an intestinal barrier, so that the osteoporosis caused by estrogen deficiency is inhibited. Meanwhile, osteoclast differentiation can be inhibited by regulating NFATC1, RANKL and OPG pathways, then osteoporosis is relieved, and the compound can be widely applied to preparation of food and drugs.

The invention discloses a prediction method and a prediction system for fracture risk of an osteoporosis patient. The method comprises the following steps: firstly, collecting a plurality of parameters such as age, bone mineral density, vitamin D level and the like of the patient; constructing a bone time-varying factor and dynamic prediction model, and determining the influence weight of each parameter on the bone condition at different time nodes; then, a three-dimensional mechanical model is constructed through mechanical simulation of the skeleton microstructure, stress distribution, strain states and structural stability of the skeleton under different loads are simulated, and the model is corrected by fusing parameters to influence weights; then the fracture probability in a future preset time period is calculated; and finally, a result is presented through a nomogram visualization model. The system realizes the above method, can predict the fracture risk more accurately, and provides powerful support for clinical diagnosis and treatment.

The invention provides a tibial prosthesis which comprises a tibial platform provided with a containing groove and a communicating groove, the containing groove is communicated with the upper surface of the tibial platform, and the communicating groove is communicated with the groove bottom wall of the containing groove and the lower surface of the tibial platform; the gasket structure is arranged in the containing groove in a floating mode in the vertical direction; the bone growth body is connected to the lower portion of the gasket structure and located in the communicating groove, and the gasket structure can drive the bone growth body to penetrate out of the tibial plateau downwards when floating in the vertical direction. According to the technical scheme, the problem that in the prior art, the time needed for combining the sclerotin and the prosthesis of a patient is long can be effectively solved.

The invention provides application of a deacetylase inhibitor or a derivative thereof and application of a pharmaceutical composition, and belongs to the technical field of biology. The application of the deacetylase inhibitor or the pharmaceutically acceptable derivative thereof comprises the application of the deacetylase inhibitor for preparing a medicine for treating osteoporosis; wherein the deacetylase inhibitor is used for inducing histone acetylation in a cell nucleus. By inducing acetylation of histone in a cell nucleus, the differentiation direction of the bone marrow mesenchymal stem cells is accurately and efficiently controlled, and a treatment scheme for osteoporosis related diseases is developed.

The invention belongs to the field of biological products, and particularly relates to a bone glue product for preventing and treating osteoporosis and application, the bone glue comprises sheep bone glue (small molecules), pig bone glue (small molecules) and black pig bone glue (small molecules); five animals are beneficial, sheep and pigs are food beneficial to body health, bones are made into bone glue (small molecules) through modern production processes such as an enzyme preparation method and the like, the bone glue (small molecules) is easily dissolved in water and easily absorbed by a human body, can supplement colloid in the bones, is non-toxic and can be eaten for a long time; due to different yin and yang attributes, different types of osteoporosis patients can be prevented and treated; the traditional Chinese medicine also has good prevention and treatment effects on complications, fracture, hairline fracture, arthralgia and other bone diseases caused by osteoporosis; the compound can be applied to preparation of medicines, foods and health-care foods for preventing and treating osteoporosis.

The invention discloses a polypeptide with anti-aging and anti-inflammatory activity and application thereof, and belongs to the field of biological medicine. In the prior art, anti-aging components are large in side effect, single in action target, unreasonable in polypeptide substance sequence design, insufficient in stability and difficult to give consideration to anti-aging and anti-inflammatory synergistic effects. The sequence provided by the invention comprises a polypeptide as shown in SEQ ID No.1 and a polypeptide with the homology not lower than 85%, and the polypeptide can be prepared into cosmetics or health care products. The polypeptide provided by the invention can promote collagen synthesis, inhibit inflammatory factors, improve skin aging and inflammation, and also can improve bone quality.

The application discloses a flavonoid compound in eaglewood as well as a preparation method and application of the flavonoid compound, and relates to the technical field of medicines. The application extracts and separates a new compound from natural eaglewood, and the new compound is used in the preparation of anti-osteoporosis drugs. The compound is detected in vitro to obtain an induction effect of the compound on the differentiation of bone marrow mesenchymal stem cells (BMSCs) into osteoblasts, so as to affect the formation of osteoclasts. Meanwhile, the compound can promote the bone development of zebra fish through RT-qPCR detection, which indicates that the compound has anti-osteoporosis activity. The separation method of the compound is simple and easy to operate.

The invention provides an osteoporosis fracture risk prediction method and system based on multi-modal imageomics. The method comprises the following steps: S1, acquiring multi-modal image data of the lumbar vertebra of a user; s2, performing feature correction according to the acquired multi-modal image data to obtain a time-space aligned multi-modal feature tensor; s3, according to the obtained multi-modal feature tensor, the integrity of the bone microstructure at each position is evolved based on the trained bone microstructure evolution model, and a bone microstructure integrity evolution result is obtained; and S4, according to the obtained bone microstructure integrity evolution result, extracting a fracture risk characteristic part, and further performing fracture risk prediction on the fracture risk characteristic part to obtain a fracture risk prediction result. According to the invention, the accuracy and reliability of osteoporotic fracture risk prediction can be improved.

Described herein are methods and compositions for using microbial agents (probiotics) and agents that promote growth of certain microbes (prebiotics) for management (including prevention and treatment) of musculoskeletal disorders, including osteoporosis, osteopenia, Paget's disease, stunting, osteoarthritis, osteomyelitis, and delayed or non-union fractures. Also described herein are methods and compositions for using probiotics and prebiotics for management of inflammation, and symptoms of menopause.

The invention provides a nutrition enhancer beneficial to bone health of middle-aged and elderly people, a preparation method of the nutrition enhancer and application of the nutrition enhancer in preparation of medial care food, and belongs to the field of nutritious food. The nutrient supplement comprises a plant fermentation product, osteopontin peptide, collagen peptide, N-acetylglucosamine and calcium, vitamins and mineral substances can be added, and the plant fermentation product is obtained by performing anaerobic fermentation on rhizoma drynariae and chestnuts through a complex microbial inoculant composed of lactobacillus reuteri and bifidobacterium longum subsp. Longum; the collagen peptide is prepared by performing enzymolysis on bovine bones through alkaline protease and flavourzyme; the hydrogel is prepared by adopting a sodium alginate-calcium chloride-carboxymethyl chitosan micro-capsule embedding process. An in-vitro experiment shows that the nutrition enhancer can remarkably promote osteoblast proliferation, differentiation and mineralization; animal experiments show that the bone mineral density of osteoporosis model mice can be effectively improved. The nutrition enhancer disclosed by the invention is suitable for preparing care food and bone health products, and has a remarkable effect of improving bone health of middle-aged and elderly people.

The invention relates to the technical field of biological processing, in particular to a production process and application of bovine bone collagen peptide for preventing osteoporosis and delaying cell senescence, and the production process comprises the following steps: placing yak bone into a bone placing cylinder, and plugging a rubber plug; a first motor and a second motor are started to drive a shifting block and a pushing block to quickly move from one end of a bone placing cylinder to the other end of the bone placing cylinder in a reciprocating manner, so that a plurality of bone striking groups inserted outside the bone placing cylinder are triggered to be compressed, rebounded and released, yak bones in the bone placing cylinder are struck, and concave holes and cracks are formed in the bone surface; and then the servo motor is started to drive the bone unloading belt to unload the yak bones, and the yak bones fall into the bone crushing machine body to be crushed. The spring steel conical head is driven by the cambered surface and planar force storage group to pre-split yak bones, directional impact on the surfaces of the yak bones is completed, continuous compression and release are achieved by linkage of the two-way lead screw and the shifting block and the pushing block, full-circumferential dead-corner-free impact on the yak bones is completed, the effect of increasing the crack coverage rate is achieved, the extrusion force of a subsequent bone crusher is reduced, and the production efficiency is improved. The service life of the double-tooth roller is prolonged.

The invention relates to the field of intelligent detection, in particular to a periodontal bone loss positioning and grading system based on a deep learning CT image, and the system comprises the steps: obtaining image data of a periodontal panoramic film and an apical film, carrying out the classified storage, and marking key anatomical points; inputting the preprocessed image data into a deep learning model for training and verification to obtain a periodontal bone loss positioning detection model; and based on the key anatomical points positioned by the periodontal bone loss positioning detection model, calculating a typing evaluation ratio, and based on the typing evaluation ratio, carrying out quantitative typing and site deviation judgment on the periodontal bone loss. According to the method, the key anatomical points can be automatically identified and analyzed from the high-resolution CT slice image, and the diagnosis precision and efficiency are remarkably improved. According to the method, the severity of periodontitis can be quantitatively evaluated, the disease progress can be tracked in real time, and reliable data support is provided for formulating a personalized treatment scheme.

The invention relates to the field of biological medicine, and discloses application of ergothioneine in preparation of a medicine for preventing and / or treating osteoporosis. The invention discloses a new mechanism of the ergothioneine for improving the osteoporosis by regulating and controlling the NF-kB / NFATc1 signal channel and reducing oxidative stress and inflammatory response for the first time, and provides a brand new thought for developing safe and effective anti-osteoporosis medicines. The discovery that the ergothioneine improves bone mass loss related to estrogen decline provides a new solution for lack of osteoporosis treatment means at present, and opens up a new way for application of natural products in bone metabolic diseases.

The invention belongs to the technical field of medical biomaterial engineering application, and particularly relates to a bone repair scaffold for promoting diabetic bone defect repair. The stent main body is provided with a functional material, and the functional material comprises one or a combination of more than two of the following components: platelet-derived growth factors, copper ions and strontium ions; the weight part ratio of the platelet-derived growth factor to the copper ions to the strontium ions is (0.001-0.1): (0.005-1): (0.01-10). According to the bone repair scaffold provided by the invention, through the synergistic effect of the platelet-derived growth factor (PDGF-BB) and trace metal copper and strontium, the bone defect and osteoporotic bone defect of a diabetic patient are treated.