Combinatorial chemistry & high throughput screening最新文献

{"title":"WITHDRAWN: Linarin Ameliorates Diabetic Liver Injury by Alleviating Oxidative Stress and Inflammation through the Inhibition of AKR1B1","authors":"Tong Wang, Meng-Ya Shan, Cui-Yao Tang, Mao-Yuan Cheng, Bin Chen, Jun Yan, Zi-Hui Xu","doi":"10.2174/1386207326666230412084201","DOIUrl":"10.2174/1386207326666230412084201","url":null,"abstract":"<p><p>Since the authors are not responding to the editor’s requests to fulfill the editorial requirement, therefore, the article has been withdrawn.</p><p><p>Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused.</p><p><p>The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php</p><p><strong>Bentham science disclaimer: </strong>It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9295470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"WITHDRAWN: Study on the Composition and Mechanism of Santiao Decoction in Treating Insomnia Based on UPLC and Network Pharmacology and Molecular Docking Technology","authors":"Lixiang Wang, Feixiang Liu, Weixia Li, Hui Zhang, Weitao Wang, Menglin Liu, Daopei Zhang, Huailiang Zhang","doi":"10.2174/1386207326666230426093326","DOIUrl":"10.2174/1386207326666230426093326","url":null,"abstract":"<p><p>Since the authors are not responding to the editor’s requests to fulfill the editorial requirement, therefore, the article has been withdrawn.</p><p><p>Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused.</p><p><p>The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php</p><p><strong>Bentham science disclaimer: </strong>It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9439934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"WITHDRAWN: Long Non-coding RNA XIST Impedes LPS-induced AC16 Cell Inflammation and Apoptosis through Down-regulating miR-370-3p and Regulating PI3K/AKT/mTOR Pathways","authors":"Jun Xiao, Min Qiu, Mingzhi Long, Shushu Zhou, Shouyu Guo, Shaohua Xu, Hai Jiang","doi":"10.2174/1386207326666230213124031","DOIUrl":"10.2174/1386207326666230213124031","url":null,"abstract":"<p><p>Since the authors are not responding to the editor’s requests to fulfill the editorial requirement, therefore, the article has been withdrawn.</p><p><p>Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused.</p><p><p>The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php</p><p><strong>Bentham science disclaimer: </strong>It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10716825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mechanism of Qilong Capsule against Myocardial Ischemia-Reperfusion Injury Based on Network Pharmacology and Experimental Validation.","authors":"Lingxu Li, Jingxue Ye, Jiahui Zhou, Zhihui Wang, Ruoyun Li, Min Wang, Guibo Sun","doi":"10.2174/0113862073332431241120044411","DOIUrl":"https://doi.org/10.2174/0113862073332431241120044411","url":null,"abstract":"<p><strong>Introduction: </strong>Qilong capsule (QC) has been used clinically to treat ischemic stroke in China. This study evaluated the therapeutic effects of QC on myocardial ischemia-reperfusion injury (MIRI) and its potential mechanisms.</p><p><strong>Method: </strong>The components and candidate targets of QC against MIRI were predicted by network pharmacology via relevant databases such as TCMSP, BATMAN-TCM, GeneCards. The potential mechanisms were predicted by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses and verified by enzyme-linked immunosorbent assay (ELISA) and Western blot.</p><p><strong>Results: </strong>Network pharmacology analysis indicated that the cardioprotective effect of QC against MIRI was associated with inflammatory pathways. We further confirmed that QC effectively decreased the levels of inflammatory factors, including hs-CRP and MCP-1, and suppressed the expression of TNF-α and the phosphorylation of STAT3.</p><p><strong>Conclusion: </strong>This study provides evidence for further clinical applications of QC for MIRI therapy.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142982919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potential Antibacterial of Leaf Sirih Merah Against Enterococcus Faecalis ATCC 29212 Bacteria.","authors":"Trisna Yuliana, Devi Meliani, Dikdik Kurnia","doi":"10.2174/0113862073344642241120041947","DOIUrl":"https://doi.org/10.2174/0113862073344642241120041947","url":null,"abstract":"<p><strong>Background: </strong>Dental root canal failure is a disease caused by gram-positive bacteria, Enterococcus faecalis. The disease is caused by the bacterial cell wall consisting of a peptidoglycan layer that protects the bacteria from internal osmotic pressure. Peptidoglycan biosynthesis includes many enzymes, such as MurA, Penicillin-binding protein (PBP), and SrtA. Herbal plants are a source of bioactive compounds, including antibacterial agents. There is information that red betel leaves, also known as Piper crocatum, contain active substances such as flavonoids, terpenoids, and steroids. However, there is no additional information on the antibacterial properties of P. crocatum and the molecular mechanisms that affect the cell wall of E. faecalis ATCC 29212 bacteria.</p><p><strong>Objective: </strong>This study aims to determine the antibacterial activity of the extract in vitro, screen and study the antibacterial compounds of red betel leaves against oral pathogenic bacteria, namely E.faecalis ATCC 29212 through molecular docking.</p><p><strong>Methods: </strong>The n-hexan:ea (9:1) fraction of P. crocatum extract was tested for inhibition zones against E. faecalis ATCC 29212 bacteria, fractions that had positive results were then identified using the LC-MS method. The LC-MS resulting compounds were tested using In Silico.</p><p><strong>Results: </strong>Antibacterial in the n-hexane: ethyl acetate (9:1) fraction of Red Betel Leaf has the best concentration of 10% with a moderate inhibition zone category. LC-MS test results identified compounds including Longicamphenylone, m/z 207, Nootkatone m/z 219, and Tridecanal m/z 221. Molecular interactions between these compounds with target proteins, namely MurA, PBP, and SrtA, show lower binding affinity values than natural ligands and positive controls for each protein.</p><p><strong>Conclusion: </strong>Nootkatone compounds demonstrated potential as MurA and PBP inhibitors, while Longicamphenylone compounds showed potential as SrtA inhibitors. Both compounds have the potential to inhibit peptidoglycan biosynthesis and bacterial cell wall formation through docking simulations.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142982944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"miR-507 Acts as a Tumor Suppressor in Renal Cell Carcinoma Cells by Targeting STEAP3.","authors":"Gong Xiaobo, Huang Jian, Guo Linjie, Tang Zhe, Zhong Guangjun, Feng Ye","doi":"10.2174/0113862073353340241108053733","DOIUrl":"https://doi.org/10.2174/0113862073353340241108053733","url":null,"abstract":"<p><strong>Introduction: </strong>In recent years, there has been a rise in the incidence of renal cell carcinoma (RCC), with metastatic RCC being a prevalent and significant contributor to mortality. While a regulatory role for microRNAs (miRNAs) in the development and progression of RCC has been recognized, their precise functions, molecular mechanisms, and potential clinical implications remain inadequately elucidated. Hence, this study aimed to explore the role of miR-507 in RCC and identify STEAP3 as a downstream target of miR-507.</p><p><strong>Methods: </strong>Bioinformatics analysis was used to analyze the expression of miR-507 and STEAP3 in RCC specimens. CCK-8, Transwell, and flow cytometry assays were used to assess the function of miR-507 in RCC cells. The connection between miR-507 and STEAP3 was confirmed through a luciferase reporter assay. The expression level of STEAP3, p53, and xCT was analyzed by western blotting.</p><p><strong>Results: </strong>Bioinformatics analysis showed that miR-507 was expressed at low levels in RCC tissues and was linked to poor overall survival. STEAP3 was found to be significantly upregulated in RCC. Further, STEAP3 was shown to be targeted by miR-507. High levels of miR-507 reduced the expression of STEAP3, leading to stagnant cell viability, apoptosis, and migrative capacity. Whereas miR-507 knockdown reverted such a tendency. The study also discovered that miR-507 exerted its inhibitory effect through the op53/xCT pathway.</p><p><strong>Conclusion: </strong>Within RCC, miR-507 modulates the expression of SETAP3/p53/xCT axis, exhibiting a tumor suppressive effect. These discoveries offer present prospective biomarkers for both surveillance and treatment of RCC.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142977954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Causal Association between Arm Fat, Left Leg Fat, and Trunk Fat Masses and Risk of Polycystic Ovarian Syndrome: A Mendelian Randomization Study.","authors":"Yuhan Zhang, Wei Zhou, Qiong Su, Qi Chen","doi":"10.2174/0113862073325251241101054306","DOIUrl":"https://doi.org/10.2174/0113862073325251241101054306","url":null,"abstract":"<p><strong>Background: </strong>Observational studies have reported that arm fat, left leg fat, and trunk fat masses have different effects on polycystic ovarian syndrome (PCOS). However, the causal relationship between them remains unknown.</p><p><strong>Materials and methods: </strong>A two-sample Mendelian randomization (MR) study was conducted by utilizing pooled data from the largest Genome-Wide Association Study (GWAS). Random effect inverse variance weighted (IVW) method, weighted median (WM), and MR-Egger regression analysis were the main statistical methods utilized. Finally, a sensitivity assessment was conducted. Cochran's Q test was used to analyze heterogeneity, whereas MR-Egger regression (intercept term) was used to analyze horizontal pleiotropy. The leave-one-out analysis was performed to assess if MR estimates were impacted by a single nucleotide polymorphism (SNP) exhibiting significant horizontal pleiotropy.</p><p><strong>Results: </strong>This study discovered a significant positive correlation between left leg fat mass, arm fat mass, and trunk fat mass and genetic factors of PCOS (odds ratio (OR): 4.452, confidence interval (CI): 2.740-7.232, p < 0.001, OR: 3.321, CI: 2.248-4.907, p < 0.001, and OR: 2.518, CI: 1.722-3.682, p < 0.001, respectively).</p><p><strong>Conclusion: </strong>This study indicates that arm fat, left leg fat, and trunk fat masses may be genetically correlated with PCOS.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142977947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combinatorial Synthesis of Tetrasubstituted Alkenes and Related Compounds with Potential Anticancer Activity.","authors":"Kateřina Nováčková, Ladislav Drož, Marek Kořínek, David Sedlák, Petr Bartůněk, Václav Eigner, Miroslav Havránek","doi":"10.2174/0113862073347827241104062749","DOIUrl":"https://doi.org/10.2174/0113862073347827241104062749","url":null,"abstract":"<p><strong>Objective: </strong>In search of efficient anticancer agents, we aimed at the design and synthesis of a library of tetrasubstituted alkenes. These are structural analogues of tamoxifen, one of the widely used anticancer therapeutics.</p><p><strong>Methods: </strong>Our small organic compound library was prepared via a chemical synthesis in the solution using the Larock three-component coupling reaction, which is known to tolerate diverse functional groups. Further, we have integrated this synthetic approach to four- and fivecomponent alkene assembly by using Sonogashira coupling, A3 and AHA reactions. The final products were isolated through preparative LC/MS station and characterized by NMR, MS, and X-ray crystallography. The biological activity of all novel compounds was tested by luciferase reporter assays against estrogen receptor (ER) and androgen receptor (AR).</p><p><strong>Results and discussion: </strong>Our combinatorial synthetic approach was based on structurally diverse internal alkynes, arylboronic acids and aryl halides. After experiment optimization a \"one-pot\" single synthetic procedure was developed. This allowed us to prepare a small-sized screening library of novel tetrasubstituted alkenes quickly and efficiently without laborious intermediate isolation. In most cases, we isolated the final product as a single isomer, and in selected cases, we confirmed their chemical structure via X-ray crystallography. High throughput screening of the novel tetrasubstituted alkenes revealed a dozen hits with predominant agonistic ERα- and antagonistic AR-activity in the micromolar range.</p><p><strong>Conclusion: </strong>The proposed combinatorial approach is applicable for the synthesis of diversified organic compound libraries and for the discovery of new tamoxifen analogues with an improved therapeutic profile.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142977951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Establishment of a Prognostic Necroptosis-Related lncRNA Signature in Ovarian Cancer.","authors":"Hui Xu, Meng Li, Wen-Lan Qiao, Tian Hua","doi":"10.2174/0113862073339602241028095015","DOIUrl":"https://doi.org/10.2174/0113862073339602241028095015","url":null,"abstract":"<p><strong>Introduction: </strong>Ovarian Cancer (OC) was known for its high mortality rate among gynecological malignancies, often resulting in a poor prognosis. This study sought to identify prognostic necroptosis-related long non-coding RNAs (lncRNAs) (NRlncRNAs) with prognostic potential and to construct a reliable risk prediction model for OC patients.</p><p><strong>Method: </strong>The transcriptome and clinic data were sourced from TCGA and GTEx databases. Initially, NRlncRNAs were discovered by assessing gene correlations and evaluating differences in gene expression. Subsequently, Cox regression and LASSO methods were employed to develop the NRlncRNAs risk model, which was further validated through survival analysis, ROC curves, Cox regression, and nomograms across both the test and entire datasets.</p><p><strong>Results: </strong>Multivariate Cox analysis revealed that the risk score based on 14 NRlncRNAs can independently predict the prognosis of OC. The low-risk group demonstrated significantly higher immune cell infiltration scores and lower tumor immune dysfunction, exclusion, and TIDE scores, as well as an increased number of neoantigens and higher TMB. Notably, the low-risk group also exhibited an elevated HRD score.</p><p><strong>Conclusion: </strong>The model's predictive accuracy was further substantiated through ROC analysis, showing superior performance compared to many existing models.Finally, the expression levels of 14 NRlncRNAs were confirmed using the qRT-PCR in two OC cell lines. These findings suggested that the NRlncRNAs risk model could serve as a more precise indicator for forecasting immune response and outcomes of targeted treatments in OC.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142945891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification and Validation of Potential Biomarkers and Therapeutic Targets of COVID-19-related Depression.","authors":"Peng Qi, Mengjie Huang, Haiyan Zhu","doi":"10.2174/0113862073322931241030104813","DOIUrl":"https://doi.org/10.2174/0113862073322931241030104813","url":null,"abstract":"<p><strong>Background: </strong>The prevalence of depression in COVID-19 patients is notably high, disrupting daily life routines and compounding the burden of other chronic health conditions. In addition, to elucidate the connection between COVID-19 and depression, we conducted an analysis of commonly differentially expressed genes [co-DEGs], uncovering potential biomarkers and therapeutic avenues specific to COVID-19-related depression.</p><p><strong>Methods: </strong>We obtained gene expression profiles from the Gene Expression Omnibus [GEO] database with strategic keyword searches [\"COVID-19\", \"depression,\" and \"SARS\"]. We used functional enrichment analysis of the co-DEGs to decipher their likely biological roles. Then, we utilized protein-protein interaction [PPI] network analysis to identify hub genes among the co- DEGs. These findings were validated via an independent third-party dataset.</p><p><strong>Results: </strong>Our analysis of blood samples from COVID-19 patients revealed 10,716 upregulated genes and 10,319 downregulated genes. In addition, by applying the same approach to depression samples, we identified 571 upregulated and 847 downregulated genes. Furthermore, by intersecting these datasets, we extracted 121 upregulated and 175 downregulated co-DEGs. Through PPI network construction and hub gene selection, we identified MPO, ARG1, CD163, FCGR1A, ELANE, LCN2, and CR1 as co-upregulated hub genes and MRPL13, RPS23, and MRPL1 as co-downregulated hub genes. The incorporation of third-party datasets revealed that these hub genes are specific targets of SARS-CoV-2, not generic viral response mechanisms.</p><p><strong>Conclusion: </strong>The identification of potential biomarkers represents a groundbreaking strategy for assessing and treating depression in the context of COVID-19, with the potential to reduce its prevalence among these patients. However, to fully harness this potential, additional clinical research is paramount.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142945899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}