Journal of Bone Metabolism最新文献_第5页

Black Bone Disease: Ochronotic Arthritis Detected during Knee Arthroplasty. 黑骨病：膝关节置换术中检测到Ochronous Arthritis。

Journal of Bone Metabolism Pub Date : 2023-08-01 Epub Date: 2023-08-31 DOI: 10.11005/jbm.2023.30.3.283

Ho Won Kang, Minsub Kim, Jin-Young Oh, Changhyun Youn

引用次数: 0

Dental Pulp Stem Cells and Current in vivo Approaches to Study Dental Pulp Stem Cells in Pulp Injury and Regeneration. 牙髓干细胞和目前研究牙髓干细胞在牙髓损伤和再生中的体内方法。

Journal of Bone Metabolism Pub Date : 2023-08-01 Epub Date: 2023-08-31 DOI: 10.11005/jbm.2023.30.3.231

Dongwook Yang, Jea Giezl Niedo Solidum, Dongsu Park

引用次数: 0

Advances in the Administration of Vitamin D Analogues to Support Bone Health and Treat Chronic Diseases. 维生素D类似物用于支持骨骼健康和治疗慢性疾病的研究进展。

Journal of Bone Metabolism Pub Date : 2023-08-01 Epub Date: 2023-08-31 DOI: 10.11005/jbm.2023.30.3.219

Yoshiaki Kanemoto, Miho Iwaki, Takahiro Sawada, Koki Nojiri, Tomohiro Kurokawa, Rino Tsutsumi, Kazuo Nagasawa, Shigeaki Kato

{"title":"Advances in the Administration of Vitamin D Analogues to Support Bone Health and Treat Chronic Diseases.","authors":"Yoshiaki Kanemoto, Miho Iwaki, Takahiro Sawada, Koki Nojiri, Tomohiro Kurokawa, Rino Tsutsumi, Kazuo Nagasawa, Shigeaki Kato","doi":"10.11005/jbm.2023.30.3.219","DOIUrl":"10.11005/jbm.2023.30.3.219","url":null,"abstract":"Vitamin D (VD) exerts a wide variety of biological actions in addition to its well-known roles in calcium homeostasis. Nutritional VD deficiency induces rachitic abnormalities in growing children and osteomalacia in adults, and it has been proposed to underlie the onset and development of multiple non-communicable chronic diseases. Therefore, the administration of VD or synthetic VD analogues represents a promising therapeutic strategy; indeed, VD and a VD agonist have shown clinical promise in mitigating osteoporosis and symptoms of insufficient calcium intake. However, even though high doses of VD analogues have shown pre-clinical efficacy against several diseases, including cancers, they have not yet had wide-spread clinical success. This difference may be due to limitation of clinical doses in light of the inherent calcemic action of VD. An approach to overcome this problem involves the development of VD analogues with lower calcemic activity, which could be administered in high doses to attenuate the onset and progress of disease. In a similar strategy, selective estrogen receptor modulators have had success as anti-osteoporosis drugs, and they have shown benefit for other estrogen target organs by serving as partial antagonists or agonists of estrogen receptor α. It is thus conceivable to generate synthetic partial antagonists or agonists for the VD receptor (VDR) that would exert beneficial effects on bone and other VD target organs. In this review, we discuss the molecular basis of the development of such synthetic VDR ligands from the viewpoint of roles of VDR in gene regulation.","PeriodicalId":15070,"journal":{"name":"Journal of Bone Metabolism","volume":"30 3","pages":"219-229"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/ab/ac/jbm-2023-30-3-219.PMC10509026.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10290316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Iris Koreana NAKAI Inhibits Osteoclast Formation via p38-Mediated Nuclear Factor of Activated T Cells 1 Signaling Pathway. 鸢尾NAKAI通过p38介导的活化T细胞核因子1信号通路抑制破骨细胞的形成。

Journal of Bone Metabolism Pub Date : 2023-08-01 Epub Date: 2023-08-31 DOI: 10.11005/jbm.2023.30.3.253

Hwa-Yeong Lee, Ji-Eun Jung, Mijung Yim

{"title":"Iris Koreana NAKAI Inhibits Osteoclast Formation via p38-Mediated Nuclear Factor of Activated T Cells 1 Signaling Pathway.","authors":"Hwa-Yeong Lee, Ji-Eun Jung, Mijung Yim","doi":"10.11005/jbm.2023.30.3.253","DOIUrl":"10.11005/jbm.2023.30.3.253","url":null,"abstract":"Background: Iris Koreana NAKAI (IKN) is a flowering perennial plant that belongs to the Iridaceae family. In this study, we aimed to demonstrate the effects of IKN on osteoclast differentiation in vitro and in vivo. We also sought to verify the molecular mechanisms underlying its anti-osteoclastogenic effects.Methods: Osteoclasts were formed by culturing mouse bone marrow macrophage (BMM) cells with macrophage colony-stimulating factor and receptor activator of nuclear factor-κB ligand (RANKL). Bone resorption assays were performed on dentin slices. mRNA expression levels were analyzed by quantitative polymerase chain reaction. Western blotting was performed to detect protein expression or activation. Lipopolysaccharide (LPS)-induced osteoclast formation was performed using a mouse calvarial model.Results: In BMM cultures, an ethanol extract of the root part of IKN suppressed RANKL-induced osteoclast formation and bone resorptive activity. In contrast, an ethanol extract of the aerial parts of IKN had a minor effect on RANKL-induced osteoclast formation. Mechanistically, the root part of IKN suppressed RANKL-induced p38 mitogen-activated protein kinase (MAPK) activation, effectively abrogating the induction of c-Fos and nuclear factor of activated T cells 1 (NFATc1) expression. IKN administration decreased LPS-induced osteoclast formation in a calvarial osteolysis model in vivo.Conclusions: Our study suggested that the ethanol extract of the root part of IKN suppressed osteoclast differentiation and function partly by downregulating the p38 MAPK/c-Fos/NFATc1 signaling pathways. Thus, the root part.","PeriodicalId":15070,"journal":{"name":"Journal of Bone Metabolism","volume":"30 3","pages":"253-262"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/e8/89/jbm-2023-30-3-253.PMC10509031.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10286032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Osteoporosis Feature Selection and Risk Prediction Model by Machine Learning Using a Cross-Sectional Database. 使用横断面数据库的机器学习骨质疏松症特征选择和风险预测模型。

Journal of Bone Metabolism Pub Date : 2023-08-01 Epub Date: 2023-08-31 DOI: 10.11005/jbm.2023.30.3.263

Yonghan Cha, Sung Hyo Seo, Jung-Taek Kim, Jin-Woo Kim, Sang-Yeob Lee, Jun-Il Yoo

{"title":"Osteoporosis Feature Selection and Risk Prediction Model by Machine Learning Using a Cross-Sectional Database.","authors":"Yonghan Cha, Sung Hyo Seo, Jung-Taek Kim, Jin-Woo Kim, Sang-Yeob Lee, Jun-Il Yoo","doi":"10.11005/jbm.2023.30.3.263","DOIUrl":"10.11005/jbm.2023.30.3.263","url":null,"abstract":"Background: The purpose of this study was to verify the accuracy and validity of using machine learning (ML) to select risk factors, to discriminate differences in feature selection by ML between men and women, and to develop predictive models for patients with osteoporosis in a big database.Methods: The data on 968 observed features from a total of 3,484 the Korea National Health and Nutrition Examination Survey participants were collected. To find preliminary features that were well-related to osteoporosis, logistic regression, random forest, gradient boosting, adaptive boosting, and support vector machine were used.Results: In osteoporosis feature selection by 5 ML models in this study, the most selected variables as risk factors in men and women were body mass index, monthly alcohol consumption, and dietary surveys. However, differences between men and women in osteoporosis feature selection by ML models were age, smoking, and blood glucose level. The receiver operating characteristic (ROC) analysis revealed that the area under the ROC curve for each ML model was not significantly different for either gender.Conclusions: ML performed a feature selection of osteoporosis, considering hidden differences between men and women. The present study considers the preprocessing of input data and the feature selection process as well as the ML technique to be important factors for the accuracy of the osteoporosis prediction model.","PeriodicalId":15070,"journal":{"name":"Journal of Bone Metabolism","volume":"30 3","pages":"263-273"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/f3/12/jbm-2023-30-3-263.PMC10509024.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10286036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of Artificial Intelligence or Machine Learning on Prediction of Hip Fracture Risk: Systematic Review. 人工智能或机器学习对髋部骨折风险预测的影响：系统综述。

Journal of Bone Metabolism Pub Date : 2023-08-01 Epub Date: 2023-08-31 DOI: 10.11005/jbm.2023.30.3.245

Yonghan Cha, Jung-Taek Kim, Jin-Woo Kim, Sung Hyo Seo, Sang-Yeob Lee, Jun-Il Yoo

{"title":"Effect of Artificial Intelligence or Machine Learning on Prediction of Hip Fracture Risk: Systematic Review.","authors":"Yonghan Cha, Jung-Taek Kim, Jin-Woo Kim, Sung Hyo Seo, Sang-Yeob Lee, Jun-Il Yoo","doi":"10.11005/jbm.2023.30.3.245","DOIUrl":"10.11005/jbm.2023.30.3.245","url":null,"abstract":"Background: Dual energy X-ray absorptiometry (DXA) is a preferred modality for screening or diagnosis of osteoporosis and can predict the risk of hip fracture. However, the DXA test is difficult to implement easily in some developing countries, and fractures have been observed before patients underwent DXA. The purpose of this systematic review is to search for studies that predict the risk of hip fracture using artificial intelligence (AI) or machine learning, organize the results of each study, and analyze the usefulness of this technology.Methods: The PubMed, OVID Medline, Cochrane Collaboration Library, Web of Science, EMBASE, and AHRQ databases were searched including \"hip fractures\" AND \"artificial intelligence\".Results: A total of 7 studies are included in this study. The total number of subjects included in the 7 studies was 330,099. There were 3 studies that included only women, and 4 studies included both men and women. One study conducted AI training after 1:1 matching between fractured and non-fractured patients. The area under the curve of AI prediction model for hip fracture risk was 0.39 to 0.96. The accuracy of AI prediction model for hip fracture risk was 70.26% to 90%.Conclusions: We believe that predicting the risk of hip fracture by the AI model will help select patients with high fracture risk among osteoporosis patients. However, to apply the AI model to the prediction of hip fracture risk in clinical situations, it is necessary to identify the characteristics of the dataset and AI model and use it after performing appropriate validation.","PeriodicalId":15070,"journal":{"name":"Journal of Bone Metabolism","volume":"30 3","pages":"245-252"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/e5/06/jbm-2023-30-3-245.PMC10509025.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10290325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Effect of Denosumab in Elderly Patients Regarding Bone Density and Fracture Risk. Denosumab对老年患者骨密度和骨折风险的影响。

Journal of Bone Metabolism Pub Date : 2023-08-01 Epub Date: 2023-08-31 DOI: 10.11005/jbm.2023.30.3.275

Sung-Hyun Yoon, Karam Kim, Ki-Choul Kim

{"title":"The Effect of Denosumab in Elderly Patients Regarding Bone Density and Fracture Risk.","authors":"Sung-Hyun Yoon, Karam Kim, Ki-Choul Kim","doi":"10.11005/jbm.2023.30.3.275","DOIUrl":"10.11005/jbm.2023.30.3.275","url":null,"abstract":"Background: With an aging population, the importance of treating and diagnosing osteoporosis is increasing. Osteoporosis, previously known as a resorptive change primarily related to endocrinological mechanisms, is also being approached as a phenomenon of senile change. Denosumab is gaining popularity among osteoporosis medications due to its ability to increase bone mineral density (BMD) and the economic benefit arising from the 6-month cycle. In line with previous literature, this study aimed to examine the BMD-augmenting effect of denosumab through which it reduces fracture risk in individuals aged over 80 years.Methods: We reviewed patients who received denosumab between 2018 and 2022 with a minimum clinical observation period of 12 months. BMD was measured every 12 months, and patients were classified per their period of denosumab use. Fracture risk was evaluated using the fracture risk assessment tool (FRAX) and fracture incidence during the observation period were assessed.Results: Among 155 patients, a significant increase in BMD was observed at 3 sites: the lumbar spine, femoral neck, and total hip (p<0.001, p<0.001, and p=0.001, respectively). The patients were divided according to the length of clinical follow-up they received, and similar results were found in all subgroups. Fracture risk assessment was performed using FRAX and the incidence of fracture events during follow-up. FRAX significantly decreased in all subgroups except those who received 24 months of follow-up (p=0.003, p=0.41, p=0.001 in the 12, 24, and ≥36 months groups, respectively).Conclusions: Denosumab use resulted in long-term BMD increase and reduced fracture risk in individuals aged 80 and above.","PeriodicalId":15070,"journal":{"name":"Journal of Bone Metabolism","volume":"30 3","pages":"275-282"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d2/70/jbm-2023-30-3-275.PMC10509027.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10279470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Position Statement: Atypical Femoral Fracture from the Korean Society for Bone and Mineral Research in 2023. 立场声明：2023年韩国骨与矿物研究学会的非典型股骨骨折。

Journal of Bone Metabolism Pub Date : 2023-08-01 Epub Date: 2023-08-31 DOI: 10.11005/jbm.2023.30.3.209

Jae-Hwi Nho, Byung-Woong Jang, Dong Woo Lee, Jae-Hyun Kim, Tae Kang Lim, Soo Min Cha, Dong-Kyo Seo, Yong-Geun Park, Dong-Geun Kang, Young-Kyun Lee, Yong-Chan Ha

{"title":"Position Statement: Atypical Femoral Fracture from the Korean Society for Bone and Mineral Research in 2023.","authors":"Jae-Hwi Nho, Byung-Woong Jang, Dong Woo Lee, Jae-Hyun Kim, Tae Kang Lim, Soo Min Cha, Dong-Kyo Seo, Yong-Geun Park, Dong-Geun Kang, Young-Kyun Lee, Yong-Chan Ha","doi":"10.11005/jbm.2023.30.3.209","DOIUrl":"10.11005/jbm.2023.30.3.209","url":null,"abstract":"As the aging population increases, the number of patients with osteoporosis is gradually rising. Osteoporosis is a metabolic bone disease characterized by low bone mass and the microarchitectural deterioration of bone tissue, resulting in reduced bone strength and an increased risk of low-energy or fragility fractures. Thus, the use of anti-resorptive agents, such as bisphosphonates (BPs), to prevent osteoporotic fractures is growing annually. BPs are effective in reducing hip and other fractures. However, the longer a patient takes BPs, the higher the risk of an atypical femoral fracture (AFF). The exact mechanism by which long-term BP use affects the development of AFFs has not yet been clarified. However, several theories have been suggested to explain the pathogenesis of AFFs, such as suppressed bone remodeling, impaired bone healing, altered bone quality, and femoral morphology. The management of AFFs requires both medical and surgical approaches. BPs therapy should be discontinued immediately, and calcium and vitamin D levels should be evaluated and supplemented if insufficient. Teriparatide can be used for AFFs. Intramedullary nailing is the primary treatment for complete AFFs, and prophylactic femoral nailing is recommended if signs of an impending fracture are detected.","PeriodicalId":15070,"journal":{"name":"Journal of Bone Metabolism","volume":"30 3","pages":"209-217"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/64/15/jbm-2023-30-3-209.PMC10509028.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10290318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development and Validation of a New Clinical Diagnostic Screening Model for Osteoporosis in Postmenopausal Women. 绝经后妇女骨质疏松症新临床诊断筛选模型的建立与验证。

Journal of Bone Metabolism Pub Date : 2023-05-01 DOI: 10.11005/jbm.2023.30.2.179

Jirapong Leeyaphan, Karn Rojjananukulpong, Piyapong Intarasompun, Yuthasak Peerakul

{"title":"Development and Validation of a New Clinical Diagnostic Screening Model for Osteoporosis in Postmenopausal Women.","authors":"Jirapong Leeyaphan, Karn Rojjananukulpong, Piyapong Intarasompun, Yuthasak Peerakul","doi":"10.11005/jbm.2023.30.2.179","DOIUrl":"https://doi.org/10.11005/jbm.2023.30.2.179","url":null,"abstract":"Background: Age and weight are not only strong predictive parameters for osteoporosis diagnosis but can also be easily acquired from patients. This study aimed to develop and validate a new diagnostic screening model for postmenopausal osteoporosis that uses only 2 parameters, viz., age and weight. The discriminative ability of the model was analyzed and compared with that of the osteoporosis self-assessment tool for Asians (OSTA) index.Methods: The age-weight diagnostic screening model was developed using a retrospective chart review of postmenopausal women aged ≥50 years who underwent dual energy X-ray absorptiometry at a tertiary hospital from November 2017 to April 2022. Logistic regression analysis was used to derive a diagnostic screening model for osteoporosis.Results: A total of 533 postmenopausal women were included in the study. According to the highest Youden index value, a probability cut-off value of 0.298 was used in the diagnosis screening model at any site, which yielded a sensitivity of 84.3% and a specificity of 53.8%. For increased sensitivity as a screening tool, a cut-off value of 0.254 was proposed to obtain a sensitivity of 90.2% and a specificity of 42.2%. The area under receiver operating characteristic curves from all screening models were significantly higher than those from the OSTA index model (p<0.05).Conclusions: This study showed the feasibility of a postmenopausal osteoporosis diagnostic screening model that uses 2 strong predictors for osteoporosis diagnosis: age and weight. This age-weight diagnostic model is a simple, effective option in postmenopausal osteoporosis screening.","PeriodicalId":15070,"journal":{"name":"Journal of Bone Metabolism","volume":"30 2","pages":"179-188"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d9/71/jbm-2023-30-2-179.PMC10346005.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9823494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Functional Role of Phospholipase D in Bone Metabolism. 磷脂酶D在骨代谢中的功能作用。

Journal of Bone Metabolism Pub Date : 2023-05-01 DOI: 10.11005/jbm.2023.30.2.117

Hyun-Ju Kim, Dong-Kyo Lee, Je-Yong Choi

{"title":"Functional Role of Phospholipase D in Bone Metabolism.","authors":"Hyun-Ju Kim, Dong-Kyo Lee, Je-Yong Choi","doi":"10.11005/jbm.2023.30.2.117","DOIUrl":"https://doi.org/10.11005/jbm.2023.30.2.117","url":null,"abstract":"Phospholipase D (PLD) proteins are major enzymes that regulate various cellular functions, such as cell growth, cell migration, membrane trafficking, and cytoskeletal dynamics. As they are responsible for such important biological functions, PLD proteins have been considered promising therapeutic targets for various diseases, including cancer and vascular and neurological diseases. Intriguingly, emerging evidence indicates that PLD1 and PLD2, 2 major mammalian PLD isoenzymes, are the key regulators of bone remodeling; this suggests that these isozymes could be used as potential therapeutic targets for bone diseases, such as osteoporosis and rheumatoid arthritis. PLD1 or PLD2 deficiency in mice can lead to decreased bone mass and dysregulated bone homeostasis. Although both mutant mice exhibit similar skeletal phenotypes, PLD1 and PLD2 play distinct and nonredundant roles in bone cell function. This review summarizes the physiological roles of PLD1 and PLD2 in bone metabolism, focusing on recent findings of the biological functions and action mechanisms of PLD1 and PLD2 in bone cells.","PeriodicalId":15070,"journal":{"name":"Journal of Bone Metabolism","volume":"30 2","pages":"117-125"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d6/dc/jbm-2023-30-2-117.PMC10346002.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9813957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0