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Li X, Liu D, Liu C, Mao Z, Liu Y, Yi H, Zhou F. Conservative versus liberal oxygen therapy in relation to all-cause mortality among patients in the intensive care unit: a systematic review of randomized controlled trials with meta-analysis and trial sequential analysis. Med Intensiva 2023; 47:73-83. [PMID: 35644886 DOI: 10.1016/j.medine.2021.08.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 08/22/2021] [Indexed: 02/01/2023]
Abstract
OBJECTIVE To evaluate the benefits and harmful effects of conservative versus liberal oxygen therapy in patients admitted to the Intensive Care Unit (ICU). DESIGN A systematic review and meta-analysis was carried out. SETTING ICU. PARTICIPANTS Adult patients (aged 18 years or older) were randomized to either a lower oxygenation target strategy (conservative oxygen therapy) or a higher oxygenation target strategy (liberal oxygen therapy) in the ICU. INTERVENTIONS Patients received different oxygenation target strategies. RESULTS Ten studies involving 5429 adult patients admitted to the ICU were included in the meta-analysis. The pooled results showed no decreased all-cause mortality at 28 days (RR 0.90; 95%CI 0.75-1.09; p = 0.28), 90 days (RR 1.02; 95%CI 0.92-1.13; p = 0.71) or longest follow-up (RR 0.97; 95%CI 0.88-1.08; p = 0.63) among patients administered conservative oxygen therapy. Secondary outcomes were comparable between the two groups. The results of sensitivity analyses and subgroup analyses were consistent with the main analyses. CONCLUSION No beneficial or harmful effects of conservative oxygen therapy were found compared to liberal oxygen therapy in relation to all-cause mortality among adult patients in the ICU. Conservative oxygen therapy did not reduce all-cause mortality at 28 days, 90 days or longest follow-up. Other important clinical outcomes were also comparable between the two groups.
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Koo D, Mao Z, Dimatteo R, Tsubamoto N, Noguchi M, McLaughlin J, Tran W, Lee S, Cheng D, de Rutte J, Sojo GB, Witte ON, Di Carlo D. Defining T cell receptor repertoires using nanovial-based affinity and functional screening. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.17.524440. [PMID: 36711524 PMCID: PMC9882161 DOI: 10.1101/2023.01.17.524440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
The ability to selectively bind to antigenic peptides and secrete cytokines can define populations of cells with therapeutic potential in emerging T cell receptor (TCR) immunotherapies. We leverage cavity-containing hydrogel microparticles, called nanovials, each coated with millions of peptide-major histocompatibility complex (pMHC) monomers to isolate antigen-reactive T cells. T cells are captured and activated by pMHCs and secrete cytokines on nanovials, allowing sorting based on both affinity and function. The TCRs of sorted cells on nanovials are sequenced, recovering paired αβ-chains using microfluidic emulsion-based single-cell sequencing. By labeling nanovials having different pMHCs with unique oligonucleotide-barcodes we could link TCR sequence to targets with 100% accuracy. We identified with high specificity an expanded repertoire of functional TCRs targeting viral antigens compared to standard techniques.
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Peng J, Mao Z, Liu Y, Tian Y, Leng Q, Gu J, Tan R. 12-Epi-Napelline regulated TGF-β/BMP signaling pathway mediated by BMSCs paracrine acceleration against osteoarthritis. Int Immunopharmacol 2022; 113:109307. [DOI: 10.1016/j.intimp.2022.109307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 09/29/2022] [Accepted: 09/30/2022] [Indexed: 11/05/2022]
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Zhang Y, Mao Z, Xue F, Liu R. 119P Clinicopathological features and roles of lymph node metastases in gastric cancer: A single-center retrospective study in China. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022] Open
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Liu R, Jing N, Song Y, Zhai Q, Mao Z, Zhou Y, Sun W. Recovery of valuable elements from pyrite pyrolysis slag using magnetic separation-flotation technique. Sep Purif Technol 2022. [DOI: 10.1016/j.seppur.2022.121772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Zhang Y, Guo H, Jia X, Liu M, Li Y, Mao Z. 1146P Correlation between different molecular states and liver metastasis in patients with non-small cell lung cancer. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Zhou J, Chen H, Wang Q, Chen S, Wang R, Wang Z, Yang C, Chen A, Zhao J, Zhou Z, Mao Z, Zuo G, Miao D, Jin J. Sirt1 overexpression improves senescence-associated pulmonary fibrosis induced by vitamin D deficiency through downregulating IL-11 transcription. Aging Cell 2022; 21:e13680. [PMID: 35906886 PMCID: PMC9381906 DOI: 10.1111/acel.13680] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 07/03/2022] [Accepted: 07/10/2022] [Indexed: 11/28/2022] Open
Abstract
Determining the mechanism of senescence-associated pulmonary fibrosis is crucial for designing more effective treatments for chronic lung diseases. This study aimed to determine the following: whether Sirt1 and serum vitamin D decreased with physiological aging, promoting senescence-associated pulmonary fibrosis by activating TGF-β1/IL-11/MEK/ERK signaling, whether Sirt1 overexpression prevented TGF-β1/IL-11/MEK/ERK signaling-mediated senescence-associated pulmonary fibrosis in vitamin D-deficient (Cyp27b1-/- ) mice, and whether Sirt1 downregulated IL-11 expression transcribed by TGF-β1/Smad2 signaling through deacetylating histone at the IL-11 promoter in pulmonary fibroblasts. Bioinformatics analysis with RNA sequencing data from pulmonary fibroblasts of physiologically aged mice was conducted for correlation analysis. Lungs from young and physiologically aged wild-type (WT) mice were examined for cell senescence, fibrosis markers, and TGF-β1/IL-11/MEK/ERK signaling proteins, and 1,25(OH)2 D3 and IL-11 levels were detected in serum. Nine-week-old WT, Sirt1 mesenchymal transgene (Sirt1Tg ), Cyp27b1-/- , and Sirt1Tg Cyp27b1-/- mice were observed the pulmonary function, aging, and senescence-associated secretory phenotype and TGF-β1/IL-11/MEK/ERK signaling. We found that pulmonary Sirt1 and serum vitamin D decreased with physiological aging, activating TGF-β1/IL-11/MEK/ERK signaling, and promoting senescence-associated pulmonary fibrosis. Sirt1 overexpression improved pulmonary dysfunction, aging, DNA damage, senescence-associated secretory phenotype, and fibrosis through downregulating TGF-β1/IL-11/MEK/ERK signaling in Cyp27b1-/- mice. Sirt1 negatively regulated IL-11 expression through deacetylating H3K9/14ac mainly at the region from -871 to -724 of IL-11 promoter, also the major binding region of Smad2 which regulated IL-11 expression at the transcriptional level, and subsequently inhibiting TGF-β1/IL-11/MEK/ERK signaling in pulmonary fibroblasts. This signaling in aging fibroblasts could be a therapeutic target for preventing senescence-associated pulmonary fibrosis induced by vitamin D deficiency.
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Chen CC, Song K, Tran W, Obusan M, Sugimoto T, Sheu K, Cheng D, Varuzhanyan G, Wang L, Ta L, Mao Z, Bangayan N, Park JW, Graerber T, Witte O. Abstract 789: Elucidating transcriptional dynamics in neuroendocrine differentiation of advanced prostate cancer. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Small cell carcinomas of the lung, bladder, and prostate share similar transcription patterns and drug sensitivities. Due to their high cellular plasticity, these cancers often escape treatment through a trans-differentiation from adenocarcinoma to the neuroendocrine state. We previously developed a pan small cell cancer in vitro/in vivo model named PARCB that can recapitulate this transition from primary patient tissues. To understand which transcription factors may be important in this transition, we conducted bulk and single cell RNA sequencing over time. We identified a developmental trajectory that is shared among all samples and is defined by stage-specific transcription factors. We plan to interrogate the role that these transcription factors play in the PARCB transformation assay. We performed ATAC sequencing to investigate how these transcription factors regulate these transitional states. Our study will provide a basic understanding of the transcriptional changes that occur during neuroendocrine differentiation and provide new potential therapeutic targets for small cell cancers.
Citation Format: Chia-Chun Chen, Kai Song, Wendy Tran, Matthew Obusan, Tyler Sugimoto, Katherine Sheu, Donghui Cheng, Grigor Varuzhanyan, Liang Wang, Lisa Ta, Zhiyuan Mao, Nathanael Bangayan, Jung-Wook Park, Thomas Graerber, Owen Witte. Elucidating transcriptional dynamics in neuroendocrine differentiation of advanced prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 789.
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Ta LH, Carr-Ascher JR, Deng W, Tsai BL, Tran W, Gun D, Cheng D, Sha J, Hwang Y, Phillips JW, Obusan MB, Bangayan NJ, Noguchi M, Mao Z, Chen CC, Wang L, Varuzhanyan G, Gordon JD, Wohlschlegel JW, Witte ON. Abstract 2438: Determining the role of non-mutated C-Raf kinase in metastatic disease. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-2438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Many aggressive epithelial cancers do not carry targetable driver mutations (Mendiratta et al. 2021, NCI-MATCH Clinical trial NCT02465060). Commonly altered signaling pathways highlight the propensity for tumors to depend on such pathways for growth and survival where genomic alterations may not be required for pathway activation. The Raf family kinases are crucial mediators of the Ras/Raf/MEK/ERK (MAPK) cascade, which has been shown to be upregulated in a subset of metastatic cancers and are mutated in many epithelial cancers. A recent study suggests non-mutated C-Raf can drive metastasis to the lungs, bone, and various other tissues (Faltermeir et al. 2016). Though the mechanism of C-Raf driven metastasis is likely through MAPK activation, C-Raf has been demonstrated to possess MAPK independent roles that may also contribute to this phenotype. In this study, we explored various C-Raf functions as drivers of metastasis in an intracardiac mouse model system. Using a series of Raf knock-out cell lines and mutants targeting functional residues in C-Raf, we demonstrated that C-Raf dimerization is necessary to drive metastasis. We further showed that the metastasis-promoting activity of C-Raf is dependent on co-expression of its family member, B-Raf, for an accelerated metastatic phenotype. However, overexpression of a kinase-dead C-Raf mutant was still able to produce metastases albeit with lower efficiency, suggesting C-Raf possesses non-kinase dependent functions that also contributed to metastasis. Together, these results point to the importance of Raf non-canonical roles in oncogenic processes that may be unappreciated in metastatic disease.
Citation Format: Lisa H. Ta, Janai R. Carr-Ascher, Weixian Deng, Brandon L. Tsai, Wendy Tran, Donny Gun, Donghui Cheng, Jihui Sha, Yeonjoo Hwang, John W. Phillips, Matthew B. Obusan, Nathanael J. Bangayan, Miyako Noguchi, Zhiyuan Mao, Chia-Chun Chen, Liang Wang, Grigor Varuzhanyan, John D. Gordon, James W. Wohlschlegel, Owen N. Witte. Determining the role of non-mutated C-Raf kinase in metastatic disease [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2438.
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Ren J, Chen Z, Ling F, Huang Y, Gong Z, Liu Y, Mao Z, Lin C, Yan H, Shi X, Zhang R, Guo S, Chen E, Wang Z, Sun J. Epidemiology of Indigenous Dengue Cases in Zhejiang Province, Southeast China. Front Public Health 2022; 10:857911. [PMID: 35493348 PMCID: PMC9046573 DOI: 10.3389/fpubh.2022.857911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 03/14/2022] [Indexed: 11/13/2022] Open
Abstract
Objective Autochthonous transmission of the dengue virus (DENV) occurred each year from 2014 to 2018 in Zhejiang province, and became an emerging public health problem. We characterized the autochthonous transmission of the DENV and traced the source of infection for further control and prevention of dengue. Methods Descriptive and spatiotemporal cluster analyses were conducted to characterize the epidemiology of autochthonous transmission of the DENV. Molecular epidemiology was used to identify the infection source. Results In total, 1,654 indigenous cases and 12 outbreaks, with no deaths, were reported during 2004–2018. Before 2017, all outbreaks occurred in suburban areas. During 2017–2018, five out of eight outbreaks occurred in urban areas. The median duration of outbreaks (28 days) in 2017–2018 was shortened significantly (P = 0.028) in comparison with that in 2004–2016 (71 days). The median onset-visiting time, visiting-confirmation time, and onset-confirmation time was 1, 3, and 4 days, respectively. The DENV serotypes responsible for autochthonous transmission in Zhejiang Province were DENV 1, DENV 2, and DENV 3, with DENV 1 being the most frequently reported. Southeast Asia was the predominant source of indigenous infection. Conclusions Zhejiang Province witnessed an increase in the frequency, incidence, and geographic expansion of indigenous Dengue cases in recent years. The more developed coastal and central region of Zhejiang Province was impacted the most.
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Chen H, Zhou J, Chen H, Liang J, Xie C, Gu X, Wang R, Mao Z, Zhang Y, Li Q, Zuo G, Miao D, Jin J. Bmi-1-RING1B prevents GATA4-dependent senescence-associated pathological cardiac hypertrophy by promoting autophagic degradation of GATA4. Clin Transl Med 2022; 12:e574. [PMID: 35390228 PMCID: PMC8989148 DOI: 10.1002/ctm2.574] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 09/01/2021] [Accepted: 09/03/2021] [Indexed: 01/05/2023] Open
Abstract
AIMS Senescence-associated pathological cardiac hypertrophy (SA-PCH) is associated with upregulation of foetal genes, fibrosis, senescence-associated secretory phenotype (SASP), cardiac dysfunction and increased morbidity and mortality. Therefore, we conducted experiments to investigate whether GATA4 accumulation induces SA-PCH, and whether Bmi-1-RING1B promotes GATA4 ubiquitination and its selective autophagic degradation to prevent SA-PCH. METHODS AND RESULTS Bmi-1-deficient (Bmi-1-/- ), transgenic Bmi-1 overexpressing (Bmi-1Tg ) and wild-type (WT) mice were infused with angiotensin II (Ang II) to stimulate the development of SA-PCH. Through bioinformatics analysis with RNA sequencing data from cardiac tissues, we found that Bmi-1-RING1B and autophagy are negatively related to SA-PCH. Bmi-1 deficiency promoted GATA4-dependent SA-PCH by increasing GATA4 protein and hypertrophy-related molecules transcribed by GATA4 such as ANP and BNP. Bmi-1 deficiency stimulated NF-κB-p65-dependent SASP, leading to cardiac dysfunction, cardiomyocyte hypertrophy and senescence. Bmi-1 overexpression repressed GATA4-dependent SA-PCH. GATA4 degraded by Bmi-1 was mainly dependent on autophagy rather than proteasome. In human myocardium, p16 positively correlated with ANP and GATA4 and negatively correlated with LC3B, Bmi-1 and RING1B; GATA4 positively correlated with p62 and negatively correlated with Bmi-1 and LC3B. With increased p16 protein levels, ANP-, BNP- and GATA4-positive cells or areas increased; however, LC3B-positive cells or areas decreased in human myocardium. GATA4 is ubiquitinated after combining with Bmi-1-RING1B, which is then recognised by p62, is translocated to autophagosomes to form autophagolysosomes and degraded. Downregulated GATA4 ameliorated SA-PCH and cardiac dysfunction by reducing GATA4-dependent hypertrophy and SASP-related molecules. Bmi-1 combined with RING1B (residues 1-179) and C-terminus of GATA4 (residues 206-443 including zinc finger domains) through residues 1-95, including a RING-HC-finger. RING1B combined with C-terminus of GATA4 through the C-terminus (residues 180-336). Adeno-associated viral vector serotype 9 (AAV9)-cytomegalovirus (CMV)-Bmi-1-RING1B treatment significantly attenuated GATA4-dependent SA-PCH through promoting GATA4 autophagic degradation. CONCLUSIONS Bmi-1-RING1B maintained cardiac function and prevented SA-PCH by promoting selective autophagy for degrading GATA4. TRANSLATIONAL PERSPECTIVE AAV9-CMV-Bmi-1-RING1B could be used for translational gene therapy to ubiquitinate GATA4 and prevent GATA4-dependent SA-PCH. Also, the combined domains between Bmi-1-RING1B and GATA4 in aging cardiomyocytes could be therapeutic targets for identifying stapled peptides in clinical applications to promote the combination of Bmi-1-RING1B with GATA4 and the ubiquitination of GATA4 to prevent SA-PCH and heart failure. We found that degradation of cardiac GATA4 by Bmi-1 was mainly dependent on autophagy rather than proteasome, and autophagy agonists metformin and rapamycin could ameliorate the SA-PCH, suggesting that activation of autophagy with metformin or rapamycin could also be a promising method to prevent SA-PCH.
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Nesterenko PA, McLaughlin J, Tsai BL, Burton Sojo G, Cheng D, Zhao D, Mao Z, Bangayan NJ, Obusan MB, Su Y, Ng RH, Chour W, Xie J, Li YR, Lee D, Noguchi M, Carmona C, Phillips JW, Kim JT, Yang L, Heath JR, Boutros PC, Witte ON. HLA-A ∗02:01 restricted T cell receptors against the highly conserved SARS-CoV-2 polymerase cross-react with human coronaviruses. Cell Rep 2021; 37:110167. [PMID: 34919800 PMCID: PMC8660260 DOI: 10.1016/j.celrep.2021.110167] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 10/15/2021] [Accepted: 12/02/2021] [Indexed: 12/14/2022] Open
Abstract
Cross-reactivity and direct killing of target cells remain underexplored for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)-specific CD8+ T cells. Isolation of T cell receptors (TCRs) and overexpression in allogeneic cells allows for extensive T cell reactivity profiling. We identify SARS-CoV-2 RNA-dependent RNA polymerase (RdRp/NSP12) as highly conserved, likely due to its critical role in the virus life cycle. We perform single-cell TCRαβ sequencing in human leukocyte antigen (HLA)-A∗02:01-restricted, RdRp-specific T cells from SARS-CoV-2-unexposed individuals. Human T cells expressing these TCRαβ constructs kill target cell lines engineered to express full-length RdRp. Three TCR constructs recognize homologous epitopes from common cold coronaviruses, indicating CD8+ T cells can recognize evolutionarily diverse coronaviruses. Analysis of individual TCR clones may help define vaccine epitopes that can induce long-term immunity against SARS-CoV-2 and other coronaviruses.
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Fan K, Wei D, Liu X, He Y, Tian H, Tu R, Liu P, Nie L, Zhang L, Qiao D, Liu X, Hou J, Li L, Wang C, Huo W, Zhang G, Mao Z. Negative associations of morning serum cortisol levels with obesity: the Henan rural cohort study. J Endocrinol Invest 2021; 44:2581-2592. [PMID: 33829394 DOI: 10.1007/s40618-021-01558-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 03/22/2021] [Indexed: 12/19/2022]
Abstract
AIMS To evaluate the associations of morning serum cortisol levels with obesity defined by different indices in Chinese rural populations. MATERIALS AND METHODS A cross-sectional study was performed including 6198 participants (2566 males and 3632 females). Serum cortisol was collected in morning and quantified by liquid chromatography-tandem mass spectrometry. Obesity was defined by body mass index (BMI), body fat percentage (BFP), waist-to-height ratio (WHtR), waist circumference (WC), visceral fat index (VFI) and waist-to-hip ratio (WHR). Both multivariable liner regression, logistic regression and restrictive cubic splines models were used to estimate the gender-specific relationships between cortisol levels and obesity defined by different indices, respectively. RESULTS After adjusting for potential confounders, serum cortisol was negatively associated with different obesity measures, except obese females defined by BFP (for instance, overall obesity defined by BMI, Quartile 4 vs. Quartile 1, odds ratio (OR) = 0.25, 95% confidence interval (CI):0.15, 0.41 in males, and OR = 0.58, 95% CI: 0.42,0.80 in females, central obesity defined by WC, OR = 0.52, 95% CI:0.39,0.69 in males and OR = 0.63, 95% CI:0.51,0.77 in females). Similarly, restrictive cubic splines showed the nonlinear relationship between high levels of cortisol and different obesity indices. Furthermore, ROC curve analysis indicated that cortisol could improve the discrimination of model with common biomarkers. CONCLUSION Morning serum cortisol were negatively related to obesity defined by different indices in Chinese rural populations. In addition, cortisol could be as a biomarker for prediction of obesity in males.
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Fan Z, Mao Z, Yuan M, Chen R, Xia X. P59.13 The Prediction Performance of TP53 / RB1 Co-Mutation on Small-Cell Lung Cancer Transformation in Patients With Non-Small Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Li X, Liu D, Liu C, Mao Z, Liu Y, Yi H, Zhou F. Conservative versus liberal oxygen therapy in relation to all-cause mortality among patients in the intensive care unit: A systematic review of randomized controlled trials with meta-analysis and trial sequential analysis. Med Intensiva 2021. [DOI: 10.1016/j.medin.2021.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Zhang R, Mao Z, Yang J, Liu S, Liu Y, Qin S, Tian H, Guo S, Ren J, Shi X, Li X, Sun J, Ling F, Wang Z. The changing epidemiology of hemorrhagic fever with renal syndrome in Southeastern China during 1963-2020: A retrospective analysis of surveillance data. PLoS Negl Trop Dis 2021; 15:e0009673. [PMID: 34358248 PMCID: PMC8372920 DOI: 10.1371/journal.pntd.0009673] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 08/18/2021] [Accepted: 07/21/2021] [Indexed: 01/18/2023] Open
Abstract
Background Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by hantavirus which was endemic Zhejiang Province, China. In this study, we aim to explore the changing epidemiology of HFRS in Zhejiang, identify high-risk areas and populations, and evaluate relevant policies and interventions to better improve HFRS control and prevention. Methods Surveillance data on HFRS during 1963–2020 in Zhejiang Province were extracted from Zhejiang Provincial Center for Disease Control and Prevention archives and the Chinese Notifiable Disease Reporting System. The changing epidemiological characteristics of HFRS including seasonal distribution, geographical distribution, and demographic features, were analyzed using joinpoint regression, autoregressive integrated moving average model, descriptive statistical methods, and Spatio-temporal cluster analysis. Results From 1963 to 2020, 114 071 HFRS cases and 1269 deaths were reported in Zhejiang Province. The incidence increased sharply from 1973 and peaked in 1986, then decreased steadily and maintained a stable incidence from 2004. HFRS cases were reported in all 11 prefecture-level cities of Zhejiang Province from 1963 to 2020. The joint region (Shengzhou, Xinchang, Tiantai, and surrounding areas), and Kaihua County are the most seriously affected regions throughout time. After 1990, the first HFRS incidence peak was in May-June, with another one from November to January. Most HFRS cases occurred in 21- (26.48%) and 30- years group (24.25%) from 1991 to 2004, but 41- (25.75%) and 51-years (23.30%) had the highest proportion from 2005 to 2020. Farmers accounted for most cases (78.10%), and cases are predominantly males with a male-to-female ratio of 2.6:1. It was found that the median time from onset to diagnosis was 6.5 days (IQR 3.75–10.42), and the time from diagnosis to disease report was significantly shortened after 2011. Conclusions We observed dynamic changes in the seasonal distribution, geographical distribution, and demographic features of HFRS, which should be well considered in the development of control and prevention strategies in future. Additional researches are warranted to elucidate the environmental, meteorological, and social factors associated with HFRS incidence in different decades. This study conducted a long-term and systematic study on the epidemiological characteristics of HFRS in Zhejiang Province from 1963 to 2020 through a combination of time and space analysis and epidemiology, aiming to analyze the distribution characteristics of HFRS and explore the high incidence of epidemics in Zhejiang Province Regional influence. From 1963 to 2020, all 11 prefecture-level cities in Zhejiang Province reported HFRS cases, and the morbidity and mortality rates decreased significantly. However, the geographical distribution of endemic areas has been expanding to eastern Zhejiang Province. Moreover, the age of high-risk groups increases over time. Although the incidence rate has declined in recent years, HFRS is still a huge threat to people’s health. As the incidence rate changes, some epidemiological characteristics have also changed. Comprehensive interventions should also be adjusted, including rodent control in endemic areas, health education, vaccination, and improved detection and diagnosis capabilities for HFRS epidemiological changes.
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Ge X, Jin Y, Mao Z, Guo Y, Gu Z. POS0401 THE APPLICATION OF MTX-LOADING DNA TETRAHEDRON IN TREATING COLLAGEN-INDUCED ARTHRITIS MICE VIA REGULATING MACROPHAGE. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.3690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Rheumatoid arthritis (RA) is a systemic autoimmune disease which mainly affect joints. [1]. Macrophages often infiltrate in the inflammatory joints. Activated macrophages release TNF-α, IL-1β to accelerate tissue damage, is one of the most important targets for RA intervention. The traditional drugs currently used commonly have some disadvantages cannot be bypassed[2], while DNA nanostructure is a new type of drugs have precise design, and likewise takes biological effect together[3]. We synthesized a DNA tetrahedron loaded with MTX and conjugated with HA which targeted to macrophage.Objectives:To verify whether MTX-loading DNA tetrahedron can regulate the apoptosis and polarization of macrophage and finally improve the condition of CIA model mice by while decrease the side effect of MTX.Methods:DNA TET was synthesized by mixing signal strand DNA in TM buffer and heated to 95 °C for 10 min, then cooling to 4 °C. Electrophoresis was applied to confirm the formation of TET. The absorbance of MTX solution was detected by microplate reader to analyze the loading efficiency of MTX into TET. Fluorescence microscope was used to observe the intake of TET into cells. CCK8 experiment was applied to measure the vitality of cells. Flow cytometry was used to detect the apoptosis and polarization. CIA model was established based on DBA/1 mice. Mice were randomly divided into five groups: normal group injected with NS; after established CIA model, CIA group injected with NS, MTX group injected with MTX solution, MTX-TET group injected with MTX-TET NP.Results:We synthesized DNA tetrahedron(A) and used 8% PAGE electrophoresis to confirmed the successfully synthesis(B). Then We found that when TET concentration fixed, the loading MTX concentration gradually increased and saturated at 190μM(C). While completely loading needed at least 4 hours(D). Fluorescence showed that single DNA strand cannot be taken by RAW, while TET can be easily taken by RAW(E). CCK8 showed that empty TET had no obvious effect on cells, while MTX and MTX-TET with equivalent concentration can obviously suppress the vitality(F). Similarly, the apoptosis trial showed that TET can slightly decrease the apoptosis of RAW, MTX and MTX-TET can significantly promote the apoptosis(G). Flow cytometry showed that the MTX-TET can decrease the expression of M1 marker CD80 (H).At last, we treat mice with NS, TET, MTX and MTX-TET once a week after CIA model established, and found that TET have no significantly effect on mice, while MTX and MTX-TET can alleviate the inflammation symptom of paws(I).Conclusion:Conclusions: We synthesized MTX-loading DNA tetrahedron conjugated with HA, and found that the MTX-TET NP have the excellent ability of promote RAW apoptosis and relieve proinflammatory M1 polarization. while also can alleviate the symptom of CIA mice.References:[1]Aletaha D, Smolen JS: Diagnosis and Management of Rheumatoid Arthritis: A Review. JAMA 2018, 320(13):1360-1372.[2]Smolen JS, Aletaha D, McInnes IB: Rheumatoid arthritis. Lancet 2016, 388(10055):2023-2038.[3]Hu Q, Li H, Wang L, Gu H, Fan C: DNA Nanotechnology-Enabled Drug Delivery Systems. Chem Rev 2019, 119(10):6459-6506.Figure 1.Disclosure of Interests:None declared
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Sun W, Liu X, Li W, Mao Z, Sun J, Lu L. Effects and interaction of meteorological factors on hemorrhagic fever with renal syndrome incidence in Huludao City, northeastern China, 2007-2018. PLoS Negl Trop Dis 2021; 15:e0009217. [PMID: 33764984 PMCID: PMC7993601 DOI: 10.1371/journal.pntd.0009217] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 02/06/2021] [Indexed: 12/13/2022] Open
Abstract
Background Hemorrhagic fever with renal syndrome (HFRS), a rodent-borne disease, is a severe public health threat. Previous studies have discovered the influence of meteorological factors on HFRS incidence, while few studies have concentrated on the stratified analysis of delayed effects and interaction effects of meteorological factors on HFRS. Objective Huludao City is a representative area in north China that suffers from HFRS with primary transmission by Rattus norvegicus. This study aimed to evaluate the climate factors of lag, interaction, and stratified effects of meteorological factors on HFRS incidence in Huludao City. Methods Our researchers collected meteorological data and epidemiological data of HFRS cases in Huludao City during 2007–2018. First, a distributed lag nonlinear model (DLNM) for a maximum lag of 16 weeks was developed to assess the respective lag effect of temperature, precipitation, and humidity on HFRS incidence. We then constructed a generalized additive model (GAM) to explore the interaction effect between temperature and the other two meteorological factors on HFRS incidence and the stratified effect of meteorological factors. Results During the study period, 2751 cases of HFRS were reported in Huludao City. The incidence of HFRS showed a seasonal trend and peak times from February to May. Using the median WAT, median WTP, and median WARH as the reference, the results of DLNM showed that extremely high temperature (97.5th percentile of WAT) had significant associations with HFRS at lag week 15 (RR = 1.68, 95% CI: 1.04–2.74) and lag week 16 (RR = 2.80, 95% CI: 1.31–5.95). Under the extremely low temperature (2.5th percentile of WAT), the RRs of HFRS infection were significant at lag week 5 (RR = 1.28, 95% CI: 1.01–1.67) and lag 6 weeks (RR = 1.24, 95% CI: 1.01–1.57). The RRs of relative humidity were statistically significant at lag week 10 (RR = 1.19, 95% CI: 1.00–1.43) and lag week 11 (RR = 1.24, 95% CI: 1.02–1.50) under extremely high relative humidity (97.5th percentile of WARH); however, no statistically significance was observed under extremely low relative humidity (2.5th percentile of WARH). The RRs were significantly high when WAT was -10 degrees Celsius (RR = 1.34, 95% CI: 1.02–1.76), -9 degrees Celsius (1.37, 95% CI: 1.04–1.79), and -8 degrees Celsius (RR = 1.34, 95% CI: 1.03–1.75) at lag week 5 and more than 23 degrees Celsius after 15 weeks. Interaction and stratified analyses showed that the risk of HFRS infection reached its highest when both temperature and precipitation were at a high level. Conclusions Our study indicates that meteorological factors, including temperature and humidity, have delayed effects on the occurrence of HFRS in the study area, and the effect of temperature can be modified by humidity and precipitation. Public health professionals should pay more attention to HFRS control when the weather conditions of high temperature with more substantial precipitation and 15 weeks after the temperature is higher than 23 degrees Celsius. Climate change impacts vector-borne disease incidence by influencing vectors’ habitat and behaviors. As a rodent-borne disease, HFRS’s incidence rate fluctuates with the change of meteorological factors. In this study, we model the meteorological factors and time-series cases to explore the exposure-lag-response effect and interaction between meteorological factors on the risk of HFRS, respectively. The result showed there exist a lag effect between meteorological factors and the occurrence of HFRS and we find that a temperature higher than 23 Celsius degrees resulted in a significantly higher HFRS incidence after 15 weeks; a relative humidity higher than 93% led to a significantly higher incidence after 10 weeks. Also, a synergistic interaction between high temperature and high precipitation on HFRS risk was detected, this effect can be attributed to increased animal reproduction and food resources under this environment. This study provides a basis for in-depth evaluating the impact of meteorological factors and their interaction on HFRS.
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Huang Z, Shen L, Wang W, Mao Z, Yi X, Kuang T, Shen JR, Zhang X, Han G. Structure of photosystem I-LHCI-LHCII from the green alga Chlamydomonas reinhardtii in State 2. Nat Commun 2021; 12:1100. [PMID: 33597543 PMCID: PMC7889890 DOI: 10.1038/s41467-021-21362-6] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 01/20/2021] [Indexed: 01/31/2023] Open
Abstract
Photosystem I (PSI) and II (PSII) balance their light energy distribution absorbed by their light-harvesting complexes (LHCs) through state transition to maintain the maximum photosynthetic performance and to avoid photodamage. In state 2, a part of LHCII moves to PSI, forming a PSI-LHCI-LHCII supercomplex. The green alga Chlamydomonas reinhardtii exhibits state transition to a far larger extent than higher plants. Here we report the cryo-electron microscopy structure of a PSI-LHCI-LHCII supercomplex in state 2 from C. reinhardtii at 3.42 Å resolution. The result reveals that the PSI-LHCI-LHCII of C. reinhardtii binds two LHCII trimers in addition to ten LHCI subunits. The PSI core subunits PsaO and PsaH, which were missed or not well-resolved in previous Cr-PSI-LHCI structures, are observed. The present results reveal the organization and assembly of PSI core subunits, LHCI and LHCII, pigment arrangement, and possible pathways of energy transfer from peripheral antennae to the PSI core.
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Wu Y, Jiang L, Zhang L, Liu X, Yan L, Luan T, Rui C, Mao Z, Fan C, Liu Y, Li P, Zeng X. Antifungal Effect of Long Noncoding RNA 9708-1 in the Vulvovaginal Candidiasis Murine Model. Mycopathologia 2021; 186:177-188. [PMID: 33587236 PMCID: PMC8106589 DOI: 10.1007/s11046-021-00530-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 01/18/2021] [Indexed: 12/14/2022]
Abstract
Vulvovaginal candidiasis (VVC) caused by Candida spp. affects 70–75% of women at least once during their lives. We aim to elucidate the potential mechanism of VVC and investigate the therapeutic effects of long noncoding RNA 9708-1. Female BALB/c mice were randomized to four treatment groups, including the blank control group, VVC control group, vehicle control group and lncRNA 9708-1-overexpressed group. Mice were euthanized on Day 4, Day 7 and Day 14 after treatment. Colony-forming unit (CFU) was measured, and the inflammation was detected by hematoxylin and eosin (H&E). Gene and protein expression levels of lncRNA 9708-1 and FAK were determined by real-time PCR, Western blot and immunohistochemistry. The overexpression of lncRNA 9708-1 significantly decreased the fungal load from Day 4 to 7. H&E staining indicated that the impaired histological profiles were improved in lncRNA 9708-1-overexpressed group. LncRNA 9708-1 led to a significant increase in FAK level of vagina tissue which is expressed mainly in epithelial basal layer. This study suggests that lncRNA 9708-1 played a protective role on murine experimental VVC by upregulating the expression levels of FAK.
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Sirunyan AM, Tumasyan A, Adam W, Ambrogi F, Asilar E, Bergauer T, Brandstetter J, Dragicevic M, Erö J, Valle AED, Flechl M, Frühwirth R, Ghete VM, Hrubec J, Jeitler M, Krammer N, Krätschmer I, Liko D, Madlener T, Mikulec I, Rad N, Rohringer H, Schieck J, Schöfbeck R, Spanring M, Spitzbart D, Waltenberger W, Wittmann J, Wulz CE, Zarucki M, Chekhovsky V, Mossolov V, Gonzalez JS, De Wolf EA, Croce DD, Janssen X, Lauwers J, Lelek A, Pieters M, Haevermaet HV, Mechelen PV, Remortel NV, Zeid SA, Blekman F, D’Hondt J, De Clercq J, Deroover K, Flouris G, Lontkovskyi D, Lowette S, Marchesini I, Moortgat S, Moreels L, Python Q, Skovpen K, Tavernier S, Doninck WV, Mulders PV, Parijs IV, Beghin D, Bilin B, Brun H, Clerbaux B, De Lentdecker G, Delannoy H, Dorney B, Fasanella G, Favart L, Grebenyuk A, Kalsi AK, Lenzi T, Luetic J, Postiau N, Starling E, Thomas L, Velde CV, Vanlaer P, Vannerom D, Wang Q, Cornelis T, Dobur D, Fagot A, Gul M, Khvastunov I, Poyraz D, Roskas C, Trocino D, Tytgat M, Verbeke W, Vermassen B, Vit M, Zaganidis N, Bakhshiansohi H, Bondu O, Bruno G, Caputo C, David P, Delaere C, Delcourt M, Giammanco A, Krintiras G, Lemaitre V, Magitteri A, Piotrzkowski K, Saggio A, Marono MV, Vischia P, Zobec J, Alves FL, Alves GA, Silva GC, Hensel C, Moraes A, Pol ME, Teles PR, Chagas EBBD, Carvalho W, Chinellato J, Coelho E, Da Costa EM, Da Silveira GG, De Jesus Damiao D, De Oliveira Martins C, De Souza SF, Guativa LMH, Malbouisson H, Figueiredo DM, De Almeida MM, Herrera CM, Mundim L, Nogima H, Da Silva WLP, Rosas LJS, Santoro A, Sznajder A, Thiel M, Manganote EJT, Da Silva DeAraujo FT, Pereira AV, Ahuja S, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Mercadante PG, Novaes SF, Padula S, Aleksandrov A, Hadjiiska R, Iaydjiev P, Marinov A, Misheva M, Rodozov M, Shopova M, Sultanov G, Dimitrov A, Litov L, Pavlov B, Petkov P, Fang W, Gao X, Yuan L, Wang Y, Ahmad M, Bian JG, Chen GM, Chen HS, Chen M, Chen Y, Jiang CH, Leggat D, Liao H, Liu Z, Shaheen SM, Spiezia A, Tao J, Yazgan E, Zhang H, Zhang S, Zhao J, Ban Y, Chen G, Levin A, Li J, Li L, Li Q, Mao Y, Qian SJ, Wang D, Avila C, Cabrera A, Montoya CAC, Sierra LFC, Florez C, Hernández CFG, Delgado MAS, Courbon B, Godinovic N, Lelas D, Puljak I, Sculac T, Antunovic Z, Kovac M, Brigljevic V, Ferencek D, Kadija K, Mesic B, Roguljic M, Starodumov A, Susa T, Ather MW, Attikis A, Kolosova M, Mavromanolakis G, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Finger M, Finger M, Ayala E, Jarrin EC, Kamel AE, Mahmoud MA, Salama E, Bhowmik S, De Oliveira ACA, Dewanjee RK, Ehataht K, Kadastik M, Raidal M, Veelken C, Eerola P, Kirschenmann H, Pekkanen J, Voutilainen M, Havukainen J, Heikkilä JK, Järvinen T, Karimäki V, Kinnunen R, Lampén T, Lassila-Perini K, Laurila S, Lehti S, Lindén T, Luukka P, Mäenpää T, Siikonen H, Tuominen E, Tuominiemi J, Tuuva T, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Givernaud A, Gras P, de Monchenault GH, Jarry P, Leloup C, Locci E, Malcles J, Negro G, Rander J, Rosowsky A, Sahin M, Titov M, Abdulsalam A, Amendola C, Antropov I, Beaudette F, Busson P, Charlot C, de Cassagnac RG, Kucher I, Lobanov A, Blanco JM, Perez CM, Nguyen M, Ochando C, Ortona G, Paganini P, Rembser J, Salerno R, Sauvan JB, Sirois Y, Leiton AGS, Zabi A, Zghiche A, Agram JL, Andrea J, Bloch D, Bourgatte G, Brom JM, Chabert EC, Cherepanov V, Collard C, Conte E, Fontaine JC, Gelé D, Goerlach U, Jansová M, Bihan ACL, Tonon N, Hove PV, Gadrat S, Beauceron S, Bernet C, Boudoul G, Chanon N, Chierici R, Contardo D, Depasse P, Mamouni HE, Fay J, Finco L, Gascon S, Gouzevitch M, Grenier G, Ille B, Lagarde F, Laktineh IB, Lattaud H, Lethuillier M, Mirabito L, Perries S, Popov A, Sordini V, Touquet G, Donckt MV, Viret S, Toriashvili T, Tsamalaidze Z, Autermann C, Feld L, Kiesel MK, Klein K, Lipinski M, Preuten M, Rauch MP, Schomakers C, Schulz J, Teroerde M, Wittmer B, Albert A, Erdmann M, Erdweg S, Esch T, Fischer R, Ghosh S, Güth A, Hebbeker T, Heidemann C, Hoepfner K, Keller H, Mastrolorenzo L, Merschmeyer M, Meyer A, Millet P, Mukherjee S, Pook T, Radziej M, Reithler H, Rieger M, Schmidt A, Teyssier D, Thüer S, Flügge G, Hlushchenko O, Kress T, Müller T, Nehrkorn A, Nowack A, Pistone C, Pooth O, Roy D, Sert H, Stahl A, Martin MA, Arndt T, Asawatangtrakuldee C, Babounikau I, Beernaert K, Behnke O, Behrens U, Martínez AB, Bertsche D, Anuar AAB, Borras K, Botta V, Campbell A, Connor P, Contreras-Campana C, Danilov V, De Wit A, Defranchis MM, Pardos CD, Damiani DD, Eckerlin G, Eichhorn T, Elwood A, Eren E, Gallo E, Geiser A, Luyando JMG, Grohsjean A, Guthoff M, Haranko M, Harb A, Jung H, Kasemann M, Keaveney J, Kleinwort C, Knolle J, Krücker D, Lange W, Lenz T, Leonard J, Lipka K, Lohmann W, Mankel R, Melzer-Pellmann IA, Meyer AB, Meyer M, Missiroli M, Mittag G, Mnich J, Myronenko V, Pflitsch SK, Pitzl D, Raspereza A, Saibel A, Savitskyi M, Saxena P, Schütze P, Schwanenberger C, Shevchenko R, Singh A, Tholen H, Turkot O, Vagnerini A, De Klundert MV, Onsem GPV, Walsh R, Wen Y, Wichmann K, Wissing C, Zenaiev O, Aggleton R, Bein S, Benato L, Benecke A, Dreyer T, Ebrahimi A, Garutti E, Gonzalez D, Gunnellini P, Haller J, Hinzmann A, Karavdina A, Kasieczka G, Klanner R, Kogler R, Kovalchuk N, Kurz S, Kutzner V, Lange J, Marconi D, Multhaup J, Niedziela M, Niemeyer CEN, Nowatschin D, Perieanu A, Reimers A, Rieger O, Scharf C, Schleper P, Schumann S, Schwandt J, Sonneveld J, Stadie H, Steinbrück G, Stober FM, Stöver M, Vormwald B, Zoi I, Akbiyik M, Barth C, Baselga M, Baur S, Butz E, Caspart R, Chwalek T, Colombo F, De Boer W, Dierlamm A, Morabit KE, Faltermann N, Freund B, Giffels M, Harrendorf MA, Hartmann F, Heindl SM, Husemann U, Katkov I, Kudella S, Mitra S, Mozer MU, Müller T, Musich M, Plagge M, Quast G, Rabbertz K, Schröder M, Shvetsov I, Simonis HJ, Ulrich R, Wayand S, Weber M, Weiler T, Wöhrmann C, Wolf R, Anagnostou G, Daskalakis G, Geralis T, Kyriakis A, Loukas D, Paspalaki G, Agapitos A, Karathanasis G, Kontaxakis P, Panagiotou A, Papavergou I, Saoulidou N, Vellidis K, Kousouris K, Papakrivopoulos I, Tsipolitis G, Evangelou I, Foudas C, Gianneios P, Katsoulis P, Kokkas P, Mallios S, Manthos N, Papadopoulos I, Paradas E, Strologas J, Triantis FA, Tsitsonis D, Bartók M, Csanad M, Filipovic N, Major P, Nagy MI, Pasztor G, Surányi O, Veres GI, Bencze G, Hajdu C, Horvath D, Hunyadi Á, Sikler F, Vámi T, Veszpremi V, Vesztergombi G, Beni N, Czellar S, Karancsi J, Makovec A, Molnar J, Szillasi Z, Raics P, Trocsanyi ZL, Ujvari B, Choudhury S, Komaragiri JR, Tiwari PC, Bahinipati S, Kar C, Mal P, Mandal K, Nayak A, Chowdhury SR, Sahoo DK, Swain SK, Bansal S, Beri SB, Bhatnagar V, Chauhan S, Chawla R, Dhingra N, Gupta R, Kaur A, Kaur M, Kaur S, Kumari P, Lohan M, Meena M, Mehta A, Sandeep K, Sharma S, Singh JB, Virdi AK, Walia G, Bhardwaj A, Choudhary BC, Garg RB, Gola M, Keshri S, Kumar A, Malhotra S, Naimuddin M, Priyanka P, Ranjan K, Shah A, Sharma R, Bhardwaj R, Bharti M, Bhattacharya R, Bhattacharya S, Bhawandeep U, Bhowmik D, Dey S, Dutt S, Dutta S, Ghosh S, Maity M, Mondal K, Nandan S, Purohit A, Rout PK, Roy A, Saha G, Sarkar S, Sarkar T, Sharan M, Singh B, Thakur S, Behera PK, Muhammad A, Chudasama R, Dutta D, Jha V, Kumar V, Mishra DK, Netrakanti PK, Pant LM, Shukla P, Suggisetti P, Aziz T, Bhat MA, Dugad S, Mohanty GB, Sur N, Verma RK, Banerjee S, Bhattacharya S, Chatterjee S, Das P, Guchait M, Jain S, Karmakar S, Kumar S, Majumder G, Mazumdar K, Sahoo N, Chauhan S, Dube S, Hegde V, Kapoor A, Kothekar K, Pandey S, Rane A, Rastogi A, Sharma S, Chenarani S, Tadavani EE, Etesami SM, Khakzad M, Najafabadi MM, Naseri M, Hosseinabadi FR, Safarzadeh B, Zeinali M, Felcini M, Grunewald M, Abbrescia M, Calabria C, Colaleo A, Creanza D, Cristella L, De Filippis N, De Palma M, Florio AD, Errico F, Fiore L, Gelmi A, Iaselli G, Ince M, Lezki S, Maggi G, Maggi M, Miniello G, My S, Nuzzo S, Pompili A, Pugliese G, Radogna R, Ranieri A, Selvaggi G, Sharma A, Silvestris L, Venditti R, Verwilligen P, Abbiendi G, Battilana C, Bonacorsi D, Borgonovi L, Braibant-Giacomelli S, Campanini R, Capiluppi P, Castro A, Cavallo FR, Chhibra SS, Codispoti G, Cuffiani M, Dallavalle GM, Fabbri F, Fanfani A, Fontanesi E, Giacomelli P, Grandi C, Guiducci L, Iemmi F, Meo SL, Marcellini S, Masetti G, Montanari A, Navarria FL, Perrotta A, Primavera F, Rossi AM, Rovelli T, Siroli GP, Tosi N, Albergo S, Mattia AD, Potenza R, Tricomi A, Tuve C, Barbagli G, Chatterjee K, Ciulli V, Civinini C, D’Alessandro R, Focardi E, Latino G, Lenzi P, Meschini M, Paoletti S, Russo L, Sguazzoni G, Strom D, Viliani L, Benussi L, Bianco S, Fabbri F, Piccolo D, Ferro F, Mulargia R, Robutti E, Tosi S, Benaglia A, Beschi A, Brivio F, Ciriolo V, Guida SD, Dinardo ME, Fiorendi S, Gennai S, Ghezzi A, Govoni P, Malberti M, Malvezzi S, Menasce D, Monti F, Moroni L, Paganoni M, Pedrini D, Ragazzi S, de Fatis TT, Zuolo D, Buontempo S, Cavallo N, De Iorio A, Crescenzo AD, Fabozzi F, Fienga F, Galati G, Iorio AOM, Lista L, Meola S, Paolucci P, Sciacca C, Voevodina E, Azzi P, Bacchetta N, Bisello D, Boletti A, Bragagnolo A, Carlin R, Checchia P, Dall’Osso M, De Castro Manzano P, Dorigo T, Dosselli U, Gasparini F, Gasparini U, Gozzelino A, Hoh SY, Lacaprara S, Lujan P, Margoni M, Meneguzzo AT, Pazzini J, Presilla M, Ronchese P, Rossin R, Simonetto F, Tiko A, Torassa E, Tosi M, Zanetti M, Zotto P, Zumerle G, Braghieri A, Magnani A, Montagna P, Ratti SP, Re V, Ressegotti M, Riccardi C, Salvini P, Vai I, Vitulo P, Biasini M, Bilei GM, Cecchi C, Ciangottini D, Fanò L, Lariccia P, Leonardi R, Manoni E, Mantovani G, Mariani V, Menichelli M, Rossi A, Santocchia A, Spiga D, Androsov K, Azzurri P, Bagliesi G, Bianchini L, Boccali T, Borrello L, Castaldi R, Ciocci MA, Dell’Orso R, Fedi G, Fiori F, Giannini L, Giassi A, Grippo MT, Ligabue F, Manca E, Mandorli G, Messineo A, Palla F, Rizzi A, Rolandi G, Spagnolo P, Tenchini R, Tonelli G, Venturi A, Verdini PG, Barone L, Cavallari F, Cipriani M, Re DD, Marco ED, Diemoz M, Gelli S, Longo E, Marzocchi B, Meridiani P, Organtini G, Pandolfi F, Paramatti R, Preiato F, Rahatlou S, Rovelli C, Santanastasio F, Amapane N, Arcidiacono R, Argiro S, Arneodo M, Bartosik N, Bellan R, Biino C, Cappati A, Cartiglia N, Cenna F, Cometti S, Costa M, Covarelli R, Demaria N, Kiani B, Mariotti C, Maselli S, Migliore E, Monaco V, Monteil E, Monteno M, Obertino MM, Pacher L, Pastrone N, Pelliccioni M, Angioni GLP, Romero A, Ruspa M, Sacchi R, Salvatico R, Shchelina K, Sola V, Solano A, Soldi D, Staiano A, Belforte S, Candelise V, Casarsa M, Cossutti F, Da Rold A, Ricca GD, Vazzoler F, Zanetti A, Kim DH, Kim GN, Kim MS, Lee J, Lee S, Lee SW, Moon CS, Oh YD, Pak SI, Sekmen S, Son DC, Yang YC, Kim H, Moon DH, Oh G, Francois B, Goh J, Kim TJ, Cho S, Choi S, Go Y, Gyun D, Ha S, Hong B, Jo Y, Lee K, Lee KS, Lee S, Lim J, Park SK, Roh Y, Kim HS, Almond J, Kim J, Kim JS, Lee H, Lee K, Nam K, Oh SB, Radburn-Smith BC, Seo S, Yang UK, Yoo HD, Yu GB, Jeon D, Kim H, Kim JH, Lee JSH, Park IC, Choi Y, Hwang C, Lee J, Yu I, Veckalns V, Dudenas V, Juodagalvis A, Vaitkus J, Ibrahim ZA, Ali MABM, Idris FM, Abdullah WATW, Yusli MN, Zolkapli Z, Benitez JF, Hernandez AC, Quijada JAM, Castilla-Valdez H, DeLa Cruz-Burelo E, Duran-Osuna MC, La Cruz IHD, Lopez-Fernandez R, Guisao JM, Rabadan-Trejo RI, Ramirez-Garcia M, Ramirez-Sanchez G, Reyes-Almanza R, Sanchez-Hernandez A, Moreno SC, Barrera CO, Valencia FV, Eysermans J, Pedraza I, Ibarguen HAS, Estrada CU, Pineda AM, Krofcheck D, Bheesette S, Butler PH, Ahmad A, Ahmad M, Asghar MI, Hassan Q, Hoorani HR, Khan WA, Shah MA, Shoaib M, Waqas M, Bialkowska H, Bluj M, Boimska B, Frueboes T, Górski M, Kazana M, Szleper M, Traczyk P, Zalewski P, Bunkowski K, Byszuk A, Doroba K, Kalinowski A, Konecki M, Krolikowski J, Misiura M, Olszewski M, Pyskir A, Walczak M, Araujo M, Bargassa P, Da Cruz ESilva CB, Francesco AD, Faccioli P, Galinhas B, Gallinaro M, Hollar J, Leonardo N, Seixas J, Strong G, Toldaiev O, Varela J, 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Nash K, Osherson M, Saka H, Salur S, Schnetzer S, Sheffield D, Somalwar S, Stone R, Thomas S, Thomassen P, Acharya H, Delannoy AG, Heideman J, Riley G, Spanier S, Bouhali O, Celik A, Dalchenko M, De Mattia M, Delgado A, Dildick S, Eusebi R, Gilmore J, Huang T, Kamon T, Luo S, Marley D, Mueller R, Overton D, Perniè L, Rathjens D, Safonov A, Akchurin N, Damgov J, De Guio F, Dudero PR, Kunori S, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Undleeb S, Volobouev I, Wang Z, Whitbeck A, Greene S, Gurrola A, Janjam R, Johns W, Maguire C, Melo A, Ni H, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Verweij M, Xu Q, Arenton MW, Barria P, Cox B, Hirosky R, Joyce M, Ledovskoy A, Li H, Neu C, Sinthuprasith T, Wang Y, Wolfe E, Xia F, Harr R, Karchin PE, Poudyal N, Sturdy J, Thapa P, Zaleski S, Buchanan J, Caillol C, Carlsmith D, Dasu S, De Bruyn I, Dodd L, Gomber B, Grothe M, Herndon M, Hervé A, Hussain U, Klabbers P, Lanaro A, Long K, Loveless R, Ruggles T, Savin A, Sharma V, Smith N, Smith WH, Woods N, Antchev G, Aspell P, Atanassov I, Avati V, Baechler J, Barrera CB, Berardi V, Berretti M, Borchsh V, Bossini E, Bottigli U, Bozzo M, Burkhardt H, Cafagna FS, Catanesi MG, Csanád M, Csörgő T, Deile M, De Leonardis F, Doubek M, Druzhkin D, Eggert K, Eremin V, Fiergolski A, Forthomme L, Garcia F, Georgiev V, Giani S, Grzanka L, Hammerbauer J, Isidori T, Ivanchenko V, Janda M, Karev A, Kašpar J, Kaynak B, Kopal J, Kundrát V, Lami S, Linhart R, Lindsey C, Lokajíček MV, Losurdo L, Rodríguez FL, Macrí M, Malawski M, Minafra N, Minutoli S, Naaranoja T, Nemes F, Niewiadomski H, Novák T, Oliveri E, Oljemark F, Oriunno M, Österberg K, Palazzi P, Passaro V, Peroutka Z, Procházka J, Quinto M, Radermacher E, Radicioni E, Ravotti F, Royon C, Ruggiero G, Saarikko H, Samoylenko VD, Scribano A, Siroky J, Smajek J, Snoeys W, Stefanovitch R, Sziklai J, Taylor C, Tcherniaev E, Turini N, Urban O, Vacek V, Vavroch O, Welti J, Williams J, Zich J, Zielinski K. Measurement of single-diffractive dijet production in proton-proton collisions at s = 8 Te with the CMS and TOTEM experiments. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2020; 80:1164. [PMID: 33362286 PMCID: PMC7746569 DOI: 10.1140/epjc/s10052-020-08562-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 10/18/2020] [Indexed: 06/12/2023]
Abstract
Measurements are presented of the single-diffractive dijet cross section and the diffractive cross section as a function of the proton fractional momentum loss ξ and the four-momentum transfer squared t. Both processesp p → p X andp p → X p , i.e. with the proton scattering to either side of the interaction point, are measured, whereX includes at least two jets; the results of the two processes are averaged. The analyses are based on data collected simultaneously with the CMS and TOTEM detectors at the LHC in proton-proton collisions ats = 8 Te during a dedicated run withβ ∗ = 90 m at low instantaneous luminosity and correspond to an integrated luminosity of 37.5 nb - 1 . The single-diffractive dijet cross section σ jj p X , in the kinematic region ξ < 0.1 ,0.03 < | t | < 1 Ge 2 , with at least two jets with transverse momentump T > 40 Ge , and pseudorapidity | η | < 4.4 , is 21.7 ± 0.9 (stat) - 3.3 + 3.0 (syst) ± 0.9 (lumi) nb . The ratio of the single-diffractive to inclusive dijet yields, normalised per unit of ξ , is presented as a function of x, the longitudinal momentum fraction of the proton carried by the struck parton. The ratio in the kinematic region defined above, for x values in the range - 2.9 ≤ log 10 x ≤ - 1.6 , is R = ( σ jj p X / Δ ξ ) / σ jj = 0.025 ± 0.001 (stat) ± 0.003 (syst) , where σ jj p X and σ jj are the single-diffractive and inclusive dijet cross sections, respectively. The results are compared with predictions from models of diffractive and nondiffractive interactions. Monte Carlo predictions based on the HERA diffractive parton distribution functions agree well with the data when corrected for the effect of soft rescattering between the spectator partons.
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Grants
- Austrian Federal Ministry of Education, Science and Research
- Austrian Science Fund
- Belgian Fonds de la Recherche Scientifique
- Belgian Fonds voor Wetenschappelijk Onderzoek
- CNPq
- CAPES
- FAPERJ
- FAPERGS
- FAPESP
- Bulgarian Ministry of Education and Science
- CERN
- Chinese Academy of Sciences
- Ministry of Science and Technology
- Chinese National Natural Science Foundation of China
- Colombian Funding Agency (COLCIENCIAS)
- Croatian Ministry of Science, Education and Sport
- Croatian Science Foundation
- Research Promotion Foundation
- SENESCYT
- Ministry of Education and Research
- Estonian Research Council via IUT23-4 and IUT23-6
- European Regional Development Fund
- Academy of Finland
- Finnish Ministry of Education and Culture
- Helsinki Institute of Physics
- Institut National de Physique Nucléaire et de Physique des Particules
- Centre National de la Recherche Scientifique
- Commissariat à l’Énergie Atomique et aux Énergies Alternatives
- Bundesministerium für Bildung und Forschung
- Deutsche Forschungsgemeinschaft
- Helmholtz-Gemeinschaft Deutscher Forschungszentren
- General Secretariat for Research and Technology
- National Research, Development and Innovation Fund
- Department of Atomic Energy
- Department of Science and Technology
- Institute for Research in Fundamental Studies
- Science Foundation
- Istituto Nazionale di Fisica Nucleare
- Korean Ministry of Education, Science and Technology
- National Research Foundation of Korea (NRF)
- MES
- Lithuanian Academy of Sciences
- Ministry of Education
- University of Malaya
- BUAP
- CINVESTAV
- CONACYT
- LNS
- SEP
- UASLP
- MOS
- Ministry of Business, Innovation and Employment
- Pakistan Atomic Energy Commission
- Ministry of Science and Higher Education
- National Science Centre
- Fundação para a Ciência e a Tecnologia
- JINR, Dubna
- Ministry of Education and Science of the Russian Federation
- Federal Agency of Atomic Energy of the Russian Federation
- Russian Academy of Sciences
- Russian Foundation for Basic Research
- National Research Center “Kurchatov Institute”
- Ministry of Education, Science and Technological Development of Serbia
- Secretaría de Estado de Investigación, Desarrollo e Innovación
- Programa Consolider-Ingenio 2010
- Plan de Ciencia, Tecnología e Innovación 2013-2017 del Principado de Asturias
- Fondo Europeo de Desarrollo Regional, Spain
- MOSTR
- ETH Board
- ETH Zurich
- PSI
- SNF
- UniZH
- Canton Zurich
- SER
- Ministry of Science and Technology
- Thailand Center of Excellence in Physics
- Institute for the Promotion of Teaching Science and Technology of Thailand
- Special Task Force for Activating Research
- National Science and Technology Development Agency of Thailand
- Scientific and Technical Research Council of Turkey
- Turkish Atomic Energy Authority
- National Academy of Sciences of Ukraine
- Science and Technology Facilities Council
- US Department of Energy
- US National Science Foundation
- Marie-Curie programme
- European Research Council and EPLANET (European Union)
- Horizon 2020 Grant, contract Nos. 675440, 752730, and 765710 (European Union)
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Belgian Federal Science Policy Office
- Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium)
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
- Belgian Fonds de la Recherche Scientifique, “Excellence of Science-EOS”-be.h project n. 30820817
- Belgian Fonds voor Wetenschappelijk Onderzoek, “Excellence of Science-EOS”-be.h project n. 30820817
- Beijing Municipal Science and Technology Commission, No. Z191100007219010
- Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
- Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy-EXC 2121 “Quantum Universe”-390833306
- Lendúlet (“Momentum”) Programme and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences
- New National Excellence Program ÚNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058
- Council of Scientific and Industrial Research, India
- HOMING PLUS programme of Foundation for Polish Science, cofinanced from European Union, Regional Development Fund
- National Science Center, contracts Harmonia 2014/14/M/ST2/00428, Opus 2014/13/B/ST2/02543, 2014/15/B/ST2/03998, and 2015/19/B/ST2/02861, Sonata-bis 2012/07/E/ST2/01406
- National Priorities Research Program by Qatar National Research Fund
- Ministry of Science and Education, grant no. 14.W03.31.0026
- Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2015-0509
- Programa Severo Ochoa del Principado de Asturias
- Thalis and Aristeia programmes cofinanced by EU-ESF and the Greek NSRF
- Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University (Thailand)
- CUAASC
- Kavli Foundation
- Nvidia Corporation
- Welch Foundation, contract C-1845
- Weston Havens Foundation
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Nash J, Nikitenko A, Palladino V, Pesaresi M, Raymond DM, Richards A, Rose A, Scott E, Seez C, Shtipliyski A, Singh G, Stoye M, Strebler T, Summers S, Tapper A, Uchida K, Virdee T, Wardle N, Winterbottom D, Wright J, Zenz SC, Cole JE, Hobson PR, Khan A, Kyberd P, Mackay CK, Morton A, Reid ID, Teodorescu L, Zahid S, Call K, Dittmann J, Hatakeyama K, Liu H, Madrid C, McMaster B, Pastika N, Smith C, Bartek R, Dominguez A, Buccilli A, Cooper SI, Henderson C, Rumerio P, West C, Arcaro D, Bose T, Gastler D, Girgis S, Pinna D, Richardson C, Rohlf J, Sulak L, Zou D, Benelli G, Burkle B, Coubez X, Cutts D, Hadley M, Hakala J, Heintz U, Hogan JM, Kwok KHM, Laird E, Landsberg G, Lee J, Mao Z, Narain M, Sagir S, Syarif R, Usai E, Yu D, Band R, Brainerd C, Breedon R, Burns D, De La Barca Sanchez MC, Chertok M, Conway J, Conway R, Cox PT, Erbacher R, Flores C, Funk G, Ko W, Kukral O, Lander R, Mulhearn M, Pellett D, Pilot J, Shalhout S, Shi M, Stolp D, Taylor D, Tos K, Tripathi M, Wang Z, Zhang F, Bachtis M, Bravo C, Cousins R, Dasgupta A, Erhan S, Florent A, Hauser J, Ignatenko M, Mccoll N, Regnard S, Saltzberg D, Schnaible C, Valuev V, Bouvier E, Burt K, Clare R, Gary JW, Shirazi SMAG, Hanson G, Karapostoli G, Kennedy E, Lacroix F, Long OR, Negrete MO, Paneva MI, Si W, Wang L, Wei H, Wimpenny S, Yates BR, Branson JG, Chang P, Cittolin S, Derdzinski M, Gerosa R, Gilbert D, Hashemi B, Holzner A, Klein D, Kole G, Krutelyov V, Letts J, Masciovecchio M, May S, Olivito D, Padhi S, Pieri M, Sharma V, Tadel M, Wood J, Würthwein F, Yagil A, Porta GZD, Amin N, Bhandari R, Campagnari C, Citron M, Dutta V, Sevilla MF, Gouskos L, Heller R, Incandela J, Mei H, Ovcharova A, Qu H, Richman J, Stuart D, Suarez I, Wang S, Yoo J, Anderson D, Bornheim A, Lawhorn JM, Lu N, Newman HB, Nguyen TQ, Pata J, Spiropulu M, Vlimant JR, Wilkinson R, Xie S, Zhang Z, Zhu RY, Andrews MB, Ferguson T, Mudholkar T, Paulini M, Sun M, Vorobiev I, Weinberg M, Cumalat JP, Ford WT, Jensen F, Johnson A, MacDonald E, Mulholland T, Patel R, Perloff A, Stenson K, Ulmer KA, Wagner SR, Alexander J, Chaves J, Cheng Y, Chu J, Datta A, Mcdermott K, Mirman N, Patterson JR, Quach D, Rinkevicius A, Ryd A, Skinnari L, Soffi L, Tan SM, Tao Z, Thom J, Tucker J, Wittich P, Zientek M, Abdullin S, Albrow M, Alyari M, Apollinari G, Apresyan A, Apyan A, Banerjee S, Bauerdick LAT, Beretvas A, Berryhill J, Bhat PC, Burkett K, Butler JN, Canepa A, Cerati GB, Cheung HWK, Chlebana F, Cremonesi M, Duarte J, Elvira VD, Freeman J, Gecse Z, Gottschalk E, Gray L, Green D, Grünendahl S, Gutsche O, Hanlon J, Harris RM, Hasegawa S, Hirschauer J, Hu Z, Jayatilaka B, Jindariani S, Johnson M, Joshi U, Klima B, Kortelainen MJ, Kreis B, Lammel S, Lincoln D, Lipton R, Liu M, Liu T, Lykken J, Maeshima K, Marraffino JM, Mason D, McBride P, Merkel P, Mrenna S, Nahn S, O’Dell V, Pedro K, Pena C, Prokofyev O, Rakness G, Ravera F, Reinsvold A, Ristori L, Savoy-Navarro A, Schneider B, Sexton-Kennedy E, Soha A, Spalding WJ, Spiegel L, Stoynev S, Strait J, Strobbe N, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Vernieri C, Verzocchi M, Vidal R, Wang M, Weber HA, Acosta D, Avery P, Bortignon P, Bourilkov D, Brinkerhoff A, Cadamuro L, Carnes A, Curry D, Field RD, Gleyzer SV, Joshi BM, Konigsberg J, Korytov A, Lo KH, Ma P, Matchev K, Menendez N, Mitselmakher G, Rosenzweig D, Shi K, Sperka D, Wang J, Wang S, Zuo X, Joshi YR, Linn S, Ackert A, Adams T, Askew A, Hagopian S, Hagopian V, Johnson KF, Kolberg T, Martinez G, Perry T, Prosper H, Saha A, Schiber C, Yohay R, Baarmand MM, Bhopatkar V, Colafranceschi S, Hohlmann M, Noonan D, Rahmani M, Roy T, Saunders M, Yumiceva F, Adams MR, Apanasevich L, Berry D, Betts RR, Cavanaugh R, Chen X, Dittmer S, Evdokimov O, Gerber CE, Hangal DA, Hofman DJ, Jung K, Kamin J, Mills C, Tonjes MB, Varelas N, Wang H, Wang X, Wu Z, Zhang J, Alhusseini M, Bilki B, Clarida W, Dilsiz K, Durgut S, Gandrajula RP, Haytmyradov M, Khristenko V, Merlo JP, Mestvirishvili A, Moeller A, Nachtman J, Ogul H, Onel Y, Ozok F, Penzo A, Snyder C, Tiras E, Wetzel J, Blumenfeld B, Cocoros A, Eminizer N, Fehling D, Feng L, Gritsan AV, Hung WT, Maksimovic P, Roskes J, Sarica U, Swartz M, Xiao M, Al-bataineh A, Baringer P, Bean A, Boren S, Bowen J, Bylinkin A, Castle J, Khalil S, Kropivnitskaya A, Majumder D, Mcbrayer W, Murray M, Rogan C, Sanders S, Schmitz E, Takaki JDT, Wang Q, Duric S, Ivanov A, Kaadze K, Kim D, Maravin Y, Mendis DR, Mitchell T, Modak A, Mohammadi A, Rebassoo F, Wright D, Baden A, Baron O, Belloni A, Eno SC, Feng Y, Ferraioli C, Hadley NJ, Jabeen S, Jeng GY, Kellogg RG, Kunkle J, Mignerey AC, Nabili S, Ricci-Tam F, Seidel M, Shin YH, Skuja A, Tonwar SC, Wong K, Abercrombie D, Allen B, Azzolini V, Baty A, Bi R, Brandt S, Busza W, Cali IA, D’Alfonso M, Demiragli Z, Ceballos GG, Goncharov M, Harris P, Hsu D, Hu M, Iiyama Y, Klute M, Kovalskyi D, Lee YJ, Luckey PD, Maier B, Marini AC, Mcginn C, Mironov C, Narayanan S, Niu X, Paus C, Rankin D, Roland C, Roland G, Shi Z, Stephans GSF, Sumorok K, Tatar K, Velicanu D, Wang J, Wang TW, Wyslouch B, Benvenuti AC, Chatterjee RM, Evans A, Hansen P, Hiltbrand J, Jain S, Kalafut S, Krohn M, Kubota Y, Lesko Z, Mans J, Rusack R, Wadud MA, Acosta JG, Oliveros S, Avdeeva E, Bloom K, Claes DR, Fangmeier C, Golf F, Suarez RG, Kamalieddin R, Kravchenko I, Monroy J, Siado JE, Snow GR, Stieger B, Godshalk A, Harrington C, Iashvili I, Kharchilava A, Mclean C, Nguyen D, Parker A, Rappoccio S, Roozbahani B, Alverson G, Barberis E, Freer C, Haddad Y, Hortiangtham A, Madigan G, Morse DM, Orimoto T, Tishelman-charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Charaf O, Gunter T, Hahn KA, Odell N, Schmitt MH, Sung K, Trovato M, Velasco M, Bucci R, Dev N, Goldouzian R, Hildreth M, Anampa KH, Jessop C, Karmgard DJ, Lannon K, Li W, Loukas N, Marinelli N, Meng F, Mueller C, Musienko Y, Planer M, Ruchti R, Siddireddy P, Smith G, Taroni S, Wayne M, Wightman A, Wolf M, Woodard A, Alimena J, Antonelli L, Bylsma B, Durkin LS, Flowers S, Francis B, Hill C, Ji W, Ling TY, Luo W, Winer BL, Cooperstein S, Elmer P, Hardenbrook J, Haubrich N, Higginbotham S, Kalogeropoulos A, Kwan S, Lange D, Lucchini MT, Luo J, Marlow D, Mei K, Ojalvo I, Olsen J, Palmer C, Piroué P, Salfeld-Nebgen J, Stickland D, Tully C, Malik S, Norberg S, Barker A, Barnes VE, Das S, Gutay L, Jones M, Jung AW, Khatiwada A, Mahakud B, Miller DH, Neumeister N, Peng CC, Piperov S, Qiu H, Schulte JF, Sun J, Wang F, Xiao R, Xie W, Cheng T, Dolen J, Parashar N, Chen Z, Ecklund KM, Freed S, Geurts FJM, Kilpatrick M, Kumar A, Li W, Padley BP, Redjimi R, Roberts J, Rorie J, Shi W, Tu Z, Zhang A, Bodek A, de Barbaro P, Demina R, Duh YT, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Han J, Hindrichs O, Khukhunaishvili A, Ranken E, Tan P, Taus R, Ciesielski R, Goulianos K, Chiarito B, Chou JP, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Hughes E, Kaplan S, Elayavalli RK, Kyriacou S, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Saka H, Salur S, Schnetzer S, Sheffield D, Somalwar S, Stone R, Thomas S, Thomassen P, Acharya H, Delannoy AG, Heideman J, Riley G, Spanier S, Bouhali O, Celik A, Dalchenko M, De Mattia M, Delgado A, Dildick S, Eusebi R, Gilmore J, Huang T, Kamon T, Luo S, Marley D, Mueller R, Overton D, Perniè L, Rathjens D, Safonov A, Akchurin N, Damgov J, De Guio F, Dudero PR, Kunori S, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Undleeb S, Volobouev I, Wang Z, Whitbeck A, Greene S, Gurrola A, Janjam R, Johns W, Maguire C, Melo A, Ni H, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Verweij M, Xu Q, Arenton MW, Barria P, Cox B, Hirosky R, Joyce M, Ledovskoy A, Li H, Neu C, Sinthuprasith T, Wang Y, Wolfe E, Xia F, Harr R, Karchin PE, Poudyal N, Sturdy J, Thapa P, Zaleski S, Buchanan J, Caillol C, Carlsmith D, Dasu S, De Bruyn I, Dodd L, Gomber B, Grothe M, Herndon M, Hervé A, Hussain U, Klabbers P, Lanaro A, Long K, Loveless R, Ruggles T, Savin A, Sharma V, Smith N, Smith WH, Woods N, Antchev G, Aspell P, Atanassov I, Avati V, Baechler J, Barrera CB, Berardi V, Berretti M, Borchsh V, Bossini E, Bottigli U, Bozzo M, Burkhardt H, Cafagna FS, Catanesi MG, Csanád M, Csörgő T, Deile M, De Leonardis F, Doubek M, Druzhkin D, Eggert K, Eremin V, Fiergolski A, Forthomme L, Garcia F, Georgiev V, Giani S, Grzanka L, Hammerbauer J, Isidori T, Ivanchenko V, Janda M, Karev A, Kašpar J, Kaynak B, Kopal J, Kundrát V, Lami S, Linhart R, Lindsey C, Lokajíček MV, Losurdo L, Rodríguez FL, Macrí M, Malawski M, Minafra N, Minutoli S, Naaranoja T, Nemes F, Niewiadomski H, Novák T, Oliveri E, Oljemark F, Oriunno M, Österberg K, Palazzi P, Passaro V, Peroutka Z, Procházka J, Quinto M, Radermacher E, Radicioni E, Ravotti F, Royon C, Ruggiero G, Saarikko H, Samoylenko VD, Scribano A, Siroky J, Smajek J, Snoeys W, Stefanovitch R, Sziklai J, Taylor C, Tcherniaev E, Turini N, Urban O, Vacek V, Vavroch O, Welti J, Williams J, Zich J, Zielinski K. Measurement of single-diffractive dijet production in proton-proton collisions at s = 8 Te with the CMS and TOTEM experiments. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2020; 80:1164. [PMID: 33362286 PMCID: PMC7746569 DOI: 10.1140/epjc/s10052-020-08562-y 10.1140/epjc/s10052-021-08863-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 10/18/2020] [Indexed: 07/14/2023]
Abstract
Measurements are presented of the single-diffractive dijet cross section and the diffractive cross section as a function of the proton fractional momentum loss ξ and the four-momentum transfer squared t. Both processes p p → p X and p p → X p , i.e. with the proton scattering to either side of the interaction point, are measured, where X includes at least two jets; the results of the two processes are averaged. The analyses are based on data collected simultaneously with the CMS and TOTEM detectors at the LHC in proton-proton collisions at s = 8 Te during a dedicated run with β ∗ = 90 m at low instantaneous luminosity and correspond to an integrated luminosity of 37.5 nb - 1 . The single-diffractive dijet cross section σ jj p X , in the kinematic region ξ < 0.1 , 0.03 < | t | < 1 Ge 2 , with at least two jets with transverse momentum p T > 40 Ge , and pseudorapidity | η | < 4.4 , is 21.7 ± 0.9 (stat) - 3.3 + 3.0 (syst) ± 0.9 (lumi) nb . The ratio of the single-diffractive to inclusive dijet yields, normalised per unit of ξ , is presented as a function of x, the longitudinal momentum fraction of the proton carried by the struck parton. The ratio in the kinematic region defined above, for x values in the range - 2.9 ≤ log 10 x ≤ - 1.6 , is R = ( σ jj p X / Δ ξ ) / σ jj = 0.025 ± 0.001 (stat) ± 0.003 (syst) , where σ jj p X and σ jj are the single-diffractive and inclusive dijet cross sections, respectively. The results are compared with predictions from models of diffractive and nondiffractive interactions. Monte Carlo predictions based on the HERA diffractive parton distribution functions agree well with the data when corrected for the effect of soft rescattering between the spectator partons.
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Grants
- Austrian Federal Ministry of Education, Science and Research
- Austrian Science Fund
- Belgian Fonds de la Recherche Scientifique
- Belgian Fonds voor Wetenschappelijk Onderzoek
- CNPq
- CAPES
- FAPERJ
- FAPERGS
- FAPESP
- Bulgarian Ministry of Education and Science
- CERN
- Chinese Academy of Sciences
- Ministry of Science and Technology
- Chinese National Natural Science Foundation of China
- Colombian Funding Agency (COLCIENCIAS)
- Croatian Ministry of Science, Education and Sport
- Croatian Science Foundation
- Research Promotion Foundation
- SENESCYT
- Ministry of Education and Research
- Estonian Research Council via IUT23-4 and IUT23-6
- European Regional Development Fund
- Academy of Finland
- Finnish Ministry of Education and Culture
- Helsinki Institute of Physics
- Institut National de Physique Nucléaire et de Physique des Particules
- Centre National de la Recherche Scientifique
- Commissariat à l’Énergie Atomique et aux Énergies Alternatives
- Bundesministerium für Bildung und Forschung
- Deutsche Forschungsgemeinschaft
- Helmholtz-Gemeinschaft Deutscher Forschungszentren
- General Secretariat for Research and Technology
- National Research, Development and Innovation Fund
- Department of Atomic Energy
- Department of Science and Technology
- Institute for Research in Fundamental Studies
- Science Foundation
- Istituto Nazionale di Fisica Nucleare
- Korean Ministry of Education, Science and Technology
- National Research Foundation of Korea (NRF)
- MES
- Lithuanian Academy of Sciences
- Ministry of Education
- University of Malaya
- BUAP
- CINVESTAV
- CONACYT
- LNS
- SEP
- UASLP
- MOS
- Ministry of Business, Innovation and Employment
- Pakistan Atomic Energy Commission
- Ministry of Science and Higher Education
- National Science Centre
- Fundação para a Ciência e a Tecnologia
- JINR, Dubna
- Ministry of Education and Science of the Russian Federation
- Federal Agency of Atomic Energy of the Russian Federation
- Russian Academy of Sciences
- Russian Foundation for Basic Research
- National Research Center “Kurchatov Institute”
- Ministry of Education, Science and Technological Development of Serbia
- Secretaría de Estado de Investigación, Desarrollo e Innovación
- Programa Consolider-Ingenio 2010
- Plan de Ciencia, Tecnología e Innovación 2013-2017 del Principado de Asturias
- Fondo Europeo de Desarrollo Regional, Spain
- MOSTR
- ETH Board
- ETH Zurich
- PSI
- SNF
- UniZH
- Canton Zurich
- SER
- Ministry of Science and Technology
- Thailand Center of Excellence in Physics
- Institute for the Promotion of Teaching Science and Technology of Thailand
- Special Task Force for Activating Research
- National Science and Technology Development Agency of Thailand
- Scientific and Technical Research Council of Turkey
- Turkish Atomic Energy Authority
- National Academy of Sciences of Ukraine
- Science and Technology Facilities Council
- US Department of Energy
- US National Science Foundation
- Marie-Curie programme
- European Research Council and EPLANET (European Union)
- Horizon 2020 Grant, contract Nos. 675440, 752730, and 765710 (European Union)
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Belgian Federal Science Policy Office
- Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium)
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
- Belgian Fonds de la Recherche Scientifique, “Excellence of Science-EOS”-be.h project n. 30820817
- Belgian Fonds voor Wetenschappelijk Onderzoek, “Excellence of Science-EOS”-be.h project n. 30820817
- Beijing Municipal Science and Technology Commission, No. Z191100007219010
- Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
- Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy-EXC 2121 “Quantum Universe”-390833306
- Lendúlet (“Momentum”) Programme and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences
- New National Excellence Program ÚNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058
- Council of Scientific and Industrial Research, India
- HOMING PLUS programme of Foundation for Polish Science, cofinanced from European Union, Regional Development Fund
- National Science Center, contracts Harmonia 2014/14/M/ST2/00428, Opus 2014/13/B/ST2/02543, 2014/15/B/ST2/03998, and 2015/19/B/ST2/02861, Sonata-bis 2012/07/E/ST2/01406
- National Priorities Research Program by Qatar National Research Fund
- Ministry of Science and Education, grant no. 14.W03.31.0026
- Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2015-0509
- Programa Severo Ochoa del Principado de Asturias
- Thalis and Aristeia programmes cofinanced by EU-ESF and the Greek NSRF
- Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University (Thailand)
- CUAASC
- Kavli Foundation
- Nvidia Corporation
- Welch Foundation, contract C-1845
- Weston Havens Foundation
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Liu Y, Wang Q, Wang Q, Cui M, Jin Y, Wang R, Mao Z, Miao D, Karaplis AC, Zhang YP, Shields LBE, Shields CB, Zhang Y. Role of PTHrP nuclear localization and carboxyl terminus sequences in postnatal spinal cord development. Dev Neurobiol 2020; 81:47-62. [PMID: 33275829 DOI: 10.1002/dneu.22798] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 08/10/2020] [Accepted: 11/27/2020] [Indexed: 11/10/2022]
Abstract
Parathyroid hormone-related peptide (PTHrP) acts under physiological conditions to regulate normal development of several tissues and organs. The role of PTHrP in spinal cord development has not been characterized. Pthrp knock in (Pthrp KI) mice were genetically modified to produce PTHrP in which there is a deficiency of the nuclear localization sequence (NLS) and C-terminus. Using this genetically modified mouse model, we have characterized its effect on spinal cord development early postnatally. The spinal cords from Pthrp KI mice displayed a significant reduction in its length, weight, and cross-sectional area compared to wild-type controls. Histologically, there was a decreased development of neurons and glial cells that caused decreased cell proliferation and increased apoptosis. The neural stem cells (NSCs) cultures also revealed decreased cell proliferation and differentiation and increased apoptosis. The proposed mechanism of delayed spinal cord development in Pthrp KI mice may be due to alteration in associated pathways in regulation of cell-division cycles and apoptosis. There was significant downregulation of Bmi-1 and upregulation of cyclin-dependent kinase inhibitors p27, p21, and p16 in Pthrp KI animals. We conclude that NLS and C-terminus peptide segments of PTHrP play an important role in inhibiting cell apoptosis and stimulation of cellular proliferation necessary for normal spinal cord development.
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Chang L, Tian L, Ma F, Mao Z, Liu X, Han G, Wang W, Yang Y, Kuang T, Pan J, Shen JR. Regulation of photosystem I-light-harvesting complex I from a red alga Cyanidioschyzon merolae in response to light intensities. PHOTOSYNTHESIS RESEARCH 2020; 146:287-297. [PMID: 32766997 DOI: 10.1007/s11120-020-00778-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 07/21/2020] [Indexed: 06/11/2023]
Abstract
Photosynthetic organisms use different means to regulate their photosynthetic activity in respond to different light conditions under which they grow. In this study, we analyzed changes in the photosystem I (PSI) light-harvesting complex I (LHCI) supercomplex from a red alga Cyanidioschyzon merolae, upon growing under three different light intensities, low light (LL), medium light (ML), and high light (HL). The results showed that the red algal PSI-LHCI is separated into two bands on blue-native PAGE, which are designated PSI-LHCI-A and PSI-LHCI-B, respectively, from cells grown under LL and ML. The former has a higher molecular weight and binds more Lhcr subunits than the latter. They are considered to correspond to the two types of PSI-LHCI identified by cryo-electron microscopic analysis recently, namely, the former with five Lhcrs and the latter with three Lhcrs. The amount of PSI-LHCI-A is higher in the LL-grown cells than that in the ML-grown cells. In the HL-grown cells, PSI-LHCI-A completely disappeared and only PSI-LHCI-B was observed. Furthermore, PSI core complexes without Lhcr attached also appeared in the HL cells. Fluorescence decay kinetics measurement showed that Lhcrs are functionally connected with the PSI core in both PSI-LHCI-A and PSI-LHCI-B obtained from LL and ML cells; however, Lhcrs in the PSI-LHCI-B fraction from the HL cells are not coupled with the PSI core. These results indicate that the red algal PSI not only regulates its antenna size but also adjusts the functional connection of Lhcrs with the PSI core in response to different light intensities.
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Sharma V, Smith N, Smith WH, Woods N. Studies of Charm Quark Diffusion inside Jets Using Pb-Pb and pp Collisions at sqrt[s_{NN}]=5.02 TeV. PHYSICAL REVIEW LETTERS 2020; 125:102001. [PMID: 32955327 DOI: 10.1103/physrevlett.125.102001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 05/28/2020] [Accepted: 08/05/2020] [Indexed: 06/11/2023]
Abstract
The first study of charm quark diffusion with respect to the jet axis in heavy ion collisions is presented. The measurement is performed using jets with p_{T}^{jet}>60 GeV/c and D^{0} mesons with p_{T}^{D}>4 GeV/c in lead-lead (Pb-Pb) and proton-proton (pp) collisions at a nucleon-nucleon center-of-mass energy of sqrt[s_{NN}]=5.02 TeV, recorded by the CMS detector at the LHC. The radial distribution of D^{0} mesons with respect to the jet axis is sensitive to the production mechanisms of the meson, as well as to the energy loss and diffusion processes undergone by its parent parton inside the strongly interacting medium produced in Pb-Pb collisions. When compared to Monte Carlo event generators, the radial distribution in pp collisions is found to be well described by pythia, while the slope of the distribution predicted by sherpa is steeper than that of the data. In Pb-Pb collisions, compared to the pp results, the D^{0} meson distribution for 4<p_{T}^{D}<20 GeV/c hints at a larger distance on average with respect to the jet axis, reflecting a diffusion of charm quarks in the medium created in heavy ion collisions. At higher p_{T}^{D}, the Pb-Pb and pp radial distributions are found to be similar.
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