Cell Reports MedicinePub Date : 2024-10-15Epub Date: 2024-10-04DOI: 10.1016/j.xcrm.2024.101775
Wanglong Gou, Huijun Wang, Chang Su, Yuanqing Fu, Xinyu Wang, Chang Gao, Menglei Shuai, Zelei Miao, Jiguo Zhang, Xiaofang Jia, Wenwen Du, Ke Zhang, Bing Zhang, Ju-Sheng Zheng
{"title":"The temporal dynamics of the gut mycobiome and its association with cardiometabolic health in a nationwide cohort of 12,641 Chinese adults.","authors":"Wanglong Gou, Huijun Wang, Chang Su, Yuanqing Fu, Xinyu Wang, Chang Gao, Menglei Shuai, Zelei Miao, Jiguo Zhang, Xiaofang Jia, Wenwen Du, Ke Zhang, Bing Zhang, Ju-Sheng Zheng","doi":"10.1016/j.xcrm.2024.101775","DOIUrl":"10.1016/j.xcrm.2024.101775","url":null,"abstract":"<p><p>The dynamics of the gut mycobiome and its association with cardiometabolic health remain largely unexplored. Here, we employ internal transcribed spacer (ITS) sequencing to capture the gut mycobiome composition and dynamics within a nationwide human cohort of 12,641 Chinese participants, including 1,946 participants with repeated measurements across three years. We find that the gut mycobiome is associated with cardiometabolic diseases and related biomarkers in both cross-sectional and dynamic analyses. Fungal alpha diversity indices and 19 mycobiome genera are the major contributors to the mycobiome-cardiometabolic disease link. Particularly, Saccharomyces emerges as an effect modifier of traditional risk factors in promoting type 2 diabetes risk. Further integration of multi-omics data reveals key metabolites such as γ-linolenic acid and L-valine linking the gut mycobiome to type 2 diabetes. This study advances our understanding of the potential roles of the gut mycobiome in cardiometabolic health.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"101775"},"PeriodicalIF":11.7,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11513856/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142379062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Clinical-proteomic classification and precision treatment strategy of chordoma.","authors":"Huabin Yin, Jinbo Hu, Jianxuan Gao, Tong Su, Jiali Jin, Cong Jiang, Wenxuan Yin, Xiaowen Xu, Zhengyan Chang, Wei Sun, Zhengdong Cai, Wang Zhou, Ping Wang, Jun Lin, Dianwen Song, Tong Meng","doi":"10.1016/j.xcrm.2024.101757","DOIUrl":"10.1016/j.xcrm.2024.101757","url":null,"abstract":"<p><p>Chordoma is a rare and heterogeneous mesenchymal malignancy, with distinct clinical and biological behaviors. Till now, its comprehensive clinical-molecular characteristics and accurate molecular classification remain obscure. In this research, we enroll 102 patients with chordoma and describe their clinical, imageological, and histopathological features. Through tandem mass tag-based proteomic analysis and nonnegative matrix factorization clustering, we classify chordoma into three molecular subtypes: bone microenvironment-dominant, mesenchymal-derived, and mesenchymal-to-epithelial transition-mediated pattern. The three subtypes exhibit discrete clinical prognosis and distinct biological attributes of osteoclastogenesis and immunogenicity, oxidative phosphorylation, and receptor tyrosine kinase activation, suggesting targeted therapeutic strategies of denosumab, S-Gboxin, and anlotinib, respectively. Notably, these approaches demonstrate positive treatment outcomes for each subtype in vitro and in vivo. Altogether, this work sheds light on the clinical-proteomic characteristics of chordoma and provides a candidate precision treatment strategy for chordoma according to molecular classification, underscoring their potential for clinical application.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"101757"},"PeriodicalIF":11.7,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11513834/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142379156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cell Reports MedicinePub Date : 2024-10-15Epub Date: 2024-10-03DOI: 10.1016/j.xcrm.2024.101756
Yi-Ze Li, Ru-Rong Ji
{"title":"Gene therapy for chronic pain management.","authors":"Yi-Ze Li, Ru-Rong Ji","doi":"10.1016/j.xcrm.2024.101756","DOIUrl":"10.1016/j.xcrm.2024.101756","url":null,"abstract":"<p><p>Despite significant advances in identifying molecular targets for chronic pain over the past two decades, many remain difficult to target with traditional methods. Gene therapies such as antisense oligonucleotides (ASOs), RNA interference (RNAi), CRISPR, and virus-based delivery systems have played crucial roles in discovering and validating new pain targets. While there has been a surge in gene therapy-based clinical trials, those focusing on pain as the primary outcome remain uncommon. This review examines various gene therapy strategies, including ASOs, small interfering RNA (siRNAs), optogenetics, chemogenetics, and CRISPR, and their delivery methods targeting primary sensory neurons and non-neuronal cells, including glia and chondrocytes. We also explore emerging gene therapy tools and highlight gene therapy's clinical potential in pain management, including trials targeting pain-related diseases. Advances in single-cell analysis of sensory neurons and non-neuronal cells, along with the development of new delivery tools, are poised to accelerate the application of gene therapy in pain medicine.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"101756"},"PeriodicalIF":11.7,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11513853/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142375211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuan Liu, Manendra Lankadasari, Joel Rosiene, Kofi E Johnson, Juan Zhou, Samhita Bapat, Lai-Fong L Chow-Tsang, Huasong Tian, Brooke Mastrogiacomo, Di He, James G Connolly, Harry B Lengel, Raul Caso, Elizabeth G Dunne, Cameron N Fick, Gaetano Rocco, Smita Sihag, James M Isbell, Mathew J Bott, Bob T Li, Piro Lito, Cameron W Brennan, Mark H Bilsky, Natasha Rekhtman, Prasad S Adusumilli, Marty W Mayo, Marcin Imielinski, David R Jones
{"title":"Modeling lung adenocarcinoma metastases using patient-derived organoids.","authors":"Yuan Liu, Manendra Lankadasari, Joel Rosiene, Kofi E Johnson, Juan Zhou, Samhita Bapat, Lai-Fong L Chow-Tsang, Huasong Tian, Brooke Mastrogiacomo, Di He, James G Connolly, Harry B Lengel, Raul Caso, Elizabeth G Dunne, Cameron N Fick, Gaetano Rocco, Smita Sihag, James M Isbell, Mathew J Bott, Bob T Li, Piro Lito, Cameron W Brennan, Mark H Bilsky, Natasha Rekhtman, Prasad S Adusumilli, Marty W Mayo, Marcin Imielinski, David R Jones","doi":"10.1016/j.xcrm.2024.101777","DOIUrl":"10.1016/j.xcrm.2024.101777","url":null,"abstract":"<p><p>Approximately 50% of patients with surgically resected early-stage lung cancer develop distant metastasis. At present, there is no in vivo metastasis model to investigate the biology of human lung cancer metastases. Using well-characterized lung adenocarcinoma (LUAD) patient-derived organoids (PDOs), we establish an in vivo metastasis model that preserves the biologic features of human metastases. Results of whole-genome and RNA sequencing establish that our in vivo PDO metastasis model can be used to study clonality and tumor evolution and to identify biomarkers related to organotropism. Investigation of the response of KRAS<sup>G12C</sup> PDOs to sotorasib demonstrates that the model can examine the efficacy of treatments to suppress metastasis and identify mechanisms of drug resistance. Finally, our PDO model cocultured with autologous peripheral blood mononuclear cells can potentially be used to determine the optimal immune-priming strategy for individual patients with LUAD.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":"5 10","pages":"101777"},"PeriodicalIF":11.7,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11513837/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142459208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cell Reports MedicinePub Date : 2024-10-15Epub Date: 2024-10-04DOI: 10.1016/j.xcrm.2024.101764
Xiaoqing Yu, Li Song, Ling Cen, Biwei Cao, Ranran Tao, Yuanyuan Shen, Daniel Abate-Daga, Paulo C Rodriguez, Jose R Conejo-Garcia, Xuefeng Wang
{"title":"Pan-cancer γδ TCR analysis uncovers clonotype diversity and prognostic potential.","authors":"Xiaoqing Yu, Li Song, Ling Cen, Biwei Cao, Ranran Tao, Yuanyuan Shen, Daniel Abate-Daga, Paulo C Rodriguez, Jose R Conejo-Garcia, Xuefeng Wang","doi":"10.1016/j.xcrm.2024.101764","DOIUrl":"10.1016/j.xcrm.2024.101764","url":null,"abstract":"<p><p>Gamma-delta T cells (γδ T cells) play a crucial role in both innate and adaptive immunity within tumors, yet their presence and prognostic value in cancer remain underexplored. This study presents a large-scale analysis of γδ T cell receptor (γδ TCR) reads from 11,000 tumor samples spanning 33 cancer types, utilizing the TRUST4 algorithm. Our findings reveal extensive diversity in γδ TCR clonality and gene expression, underscoring the potential of γδ T cells as prognostic biomarkers in various cancers. We further demonstrate the utility of TCR gamma (TRG) and delta (TRD) gene expression from standard RNA-sequencing (RNA-seq) data. This comprehensive dataset offers a valuable resource for advancing γδ T cell research, with implications for enhanced immunotherapy approaches or alternative therapeutic strategies. Additionally, our centralized database supports translational research into the therapeutic significance of γδ T cells.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"101764"},"PeriodicalIF":11.7,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11513832/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142379059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cell Reports MedicinePub Date : 2024-10-15Epub Date: 2024-10-04DOI: 10.1016/j.xcrm.2024.101759
Laura Mancin, Antonio Paoli, Sara Berry, Javier T Gonzalez, Adam J Collins, Maria Antonia Lizarraga, Joao Felipe Mota, Segata Nicola, Ian Rollo
{"title":"Standardization of gut microbiome analysis in sports.","authors":"Laura Mancin, Antonio Paoli, Sara Berry, Javier T Gonzalez, Adam J Collins, Maria Antonia Lizarraga, Joao Felipe Mota, Segata Nicola, Ian Rollo","doi":"10.1016/j.xcrm.2024.101759","DOIUrl":"10.1016/j.xcrm.2024.101759","url":null,"abstract":"<p><p>The gut microbiome plays a significant role in physiological functions such as nutrient processing, vitamin production, inflammatory response, and immune modulation, which, in turn, are important contributors to athlete health and performance. To date, the interpretation, discussion, and visualization of microbiome results of athletes are challenging, due to a lack of standard parameters and reference data for collection and comparison. The purpose of this perspective piece is to provide researchers with an easy-to-understand framework for the collection, analysis, and data management related to the gut microbiome with a specific focus on athletic populations. In the absence of a consensus on microbiome research in the sports field, we hope that these considerations serve as foundational \"best practice.\" Adherence to these standard operating procedures will accelerate the path toward improving the quality of data and ultimately our understanding of the influence of the gut microbiome in sport settings.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"101759"},"PeriodicalIF":11.7,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11514603/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142379060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cell Reports MedicinePub Date : 2024-10-15Epub Date: 2024-10-04DOI: 10.1016/j.xcrm.2024.101770
Gui Ma, Ang Gao, Jiani Chen, Peng Liu, Rakesh Sarda, Jessica Gulliver, Yidan Wang, Carstyn Joiner, Mingshan Hu, Eui-Jun Kim, Herman Yeger, Hau D Le, Xiang Chen, Wan-Ju Li, Wei Xu
{"title":"Modeling high-risk Wilms tumors enables the discovery of therapeutic vulnerability.","authors":"Gui Ma, Ang Gao, Jiani Chen, Peng Liu, Rakesh Sarda, Jessica Gulliver, Yidan Wang, Carstyn Joiner, Mingshan Hu, Eui-Jun Kim, Herman Yeger, Hau D Le, Xiang Chen, Wan-Ju Li, Wei Xu","doi":"10.1016/j.xcrm.2024.101770","DOIUrl":"10.1016/j.xcrm.2024.101770","url":null,"abstract":"<p><p>Wilms tumor (WT) is the most common pediatric kidney cancer treated with standard chemotherapy. However, less-differentiated blastemal type of WT often relapses. To model the high-risk WT for therapeutic intervention, we introduce pluripotency factors into WiT49, a mixed-type WT cell line, to generate partially reprogrammed cells, namely WiT49-PRCs. When implanted into the kidney capsule in mice, WiT49-PRCs form kidney tumors and develop both liver and lung metastases, whereas WiT49 tumors do not metastasize. Histological characterization and gene expression signatures demonstrate that WiT49-PRCs recapitulate blastemal-predominant WTs. Moreover, drug screening in isogeneic WiT49 and WiT49-PRCs leads to the identification of epithelial- or blastemal-predominant WT-sensitive drugs, whose selectivity is validated in patient-derived xenografts (PDXs). Histone deacetylase (HDAC) inhibitors (e.g., panobinostat and romidepsin) are found universally effective across different WT and more potent than doxorubicin in PDXs. Taken together, WiT49-PRCs serve as a blastemal-predominant WT model for therapeutic intervention to treat patients with high-risk WT.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"101770"},"PeriodicalIF":11.7,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11513831/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142379158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cell Reports MedicinePub Date : 2024-10-15Epub Date: 2024-10-03DOI: 10.1016/j.xcrm.2024.101762
Hua Yang, Yang Xun, Yali Shen, Hongtao Wang, Yu Tao, Huihan Wang, Xinyue Zhang, Rongqiu Liu, Huarong Yu, Li Wei, Jinsong Yan, Xiaoyu Zhu, Hua You
{"title":"A simplified and robust risk stratification model for stem cell transplantation in pediatric acute myeloid leukemia.","authors":"Hua Yang, Yang Xun, Yali Shen, Hongtao Wang, Yu Tao, Huihan Wang, Xinyue Zhang, Rongqiu Liu, Huarong Yu, Li Wei, Jinsong Yan, Xiaoyu Zhu, Hua You","doi":"10.1016/j.xcrm.2024.101762","DOIUrl":"10.1016/j.xcrm.2024.101762","url":null,"abstract":"<p><p>The efficacy of stem cell transplantation (SCT) in pediatric acute myeloid leukemia (pAML) remains unsatisfactory due to the limitations of existing prognostic models in predicting efficacy and selecting suitable candidates. This study aims to develop a cytomolecular risk stratification-independent prognostic model for SCT in pAML patients at CR1 stage. The pAML SCT model, based on age, KMT2A rearrangement (KMT2A-r), and minimal residual disease at end of course 1 (MRD1), effectively classifies patients into low-, intermediate-, and high-risk groups. We validate the effectiveness in an internal validation cohort and in four external validation cohorts, consisting of different graft sources and donors. Moreover, by incorporating the FMS-like tyrosine kinase 3/internal tandem duplication (FLT3/ITD) allelic ratio, the pAML SCT model is refined, enhancing its ability to effectively select suitable candidates. We develop a simple and robust risk stratification model for pAML patients undergoing SCT, to aid in risk stratification and inform pretransplant decision-making at CR1 stage.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"101762"},"PeriodicalIF":11.7,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11513827/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142375209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cell Reports MedicinePub Date : 2024-10-15Epub Date: 2024-10-08DOI: 10.1016/j.xcrm.2024.101784
Li-Bo Zhang, Yu-Xin Chen, Zhen-Jiang Li, Xin-Yi Geng, Xiang-Yue Zhao, Feng-Rui Zhang, Yan-Zhi Bi, Xue-Jing Lu, Li Hu
{"title":"Advances and challenges in neuroimaging-based pain biomarkers.","authors":"Li-Bo Zhang, Yu-Xin Chen, Zhen-Jiang Li, Xin-Yi Geng, Xiang-Yue Zhao, Feng-Rui Zhang, Yan-Zhi Bi, Xue-Jing Lu, Li Hu","doi":"10.1016/j.xcrm.2024.101784","DOIUrl":"10.1016/j.xcrm.2024.101784","url":null,"abstract":"<p><p>Identifying neural biomarkers of pain has long been a central theme in pain neuroscience. Here, we review the state-of-the-art candidates for neural biomarkers of acute and chronic pain. We classify these potential neural biomarkers into five categories based on the nature of their target variables, including neural biomarkers of (1) within-individual perception, (2) between-individual sensitivity, and (3) discriminability for acute pain, as well as (4) assessment and (5) prospective neural biomarkers for chronic pain. For each category, we provide a synthesized review of candidate biomarkers developed using neuroimaging techniques including functional magnetic resonance imaging (fMRI), structural magnetic resonance imaging (sMRI), and electroencephalography (EEG). We also discuss the conceptual and practical challenges in developing neural biomarkers of pain. Addressing these challenges, optimal biomarkers of pain can be developed to deepen our understanding of how the brain represents pain and ultimately help alleviate patients' suffering and improve their well-being.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"101784"},"PeriodicalIF":11.7,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11513815/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142388395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cell Reports MedicinePub Date : 2024-10-15Epub Date: 2024-10-08DOI: 10.1016/j.xcrm.2024.101786
Jing Wang, Lisa V Doan
{"title":"Clinical pain management: Current practice and recent innovations in research.","authors":"Jing Wang, Lisa V Doan","doi":"10.1016/j.xcrm.2024.101786","DOIUrl":"10.1016/j.xcrm.2024.101786","url":null,"abstract":"<p><p>Chronic pain affects one in five adults. It is not only a major cause of disability for individual patients but also a driver of costs for entire healthcare systems. Treatment of pain remains a challenge, and the use of opioids has further led to a concurrent opioid epidemic. In this review, we discuss current standard treatment options for chronic pain, including pharmacological, behavioral, and interventional treatments. In addition, we review ongoing research in different areas that will potentially unlock new therapies.</p>","PeriodicalId":9822,"journal":{"name":"Cell Reports Medicine","volume":" ","pages":"101786"},"PeriodicalIF":11.7,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11513809/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142388397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}