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Abdallah MS, Aboona BE, Adam J, Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal I, Aggarwal MM, Ahammed Z, Alekseev I, Anderson DM, Aparin A, Aschenauer EC, Ashraf MU, Atetalla FG, Attri A, Averichev GS, Bairathi V, Baker W, Ball Cap JG, Barish K, Behera A, Bellwied R, Bhagat P, Bhasin A, Bielcik J, Bielcikova J, Bordyuzhin IG, Brandenburg JD, Brandin AV, Bunzarov I, Cai XZ, Caines H, Calderón de la Barca Sánchez M, Cebra D, Chakaberia I, Chaloupka P, Chan BK, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chattopadhyay S, Chen D, Chen J, Chen JH, Chen X, Chen Z, Cheng J, Chevalier M, Choudhury S, Christie W, Chu X, Crawford HJ, Csanád M, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Dhamija A, Di Carlo L, Didenko L, Dixit P, Dong X, Drachenberg JL, Duckworth E, Dunlop JC, Elsey N, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fawzi FM, Fazio S, Federic P, Fedorisin J, Feng CJ, Feng Y, Filip P, Finch E, Fisyak Y, Francisco A, Fu C, Fulek L, Gagliardi CA, Galatyuk T, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Gupta A, Guryn W, Hamad AI, Hamed A, Han Y, Harabasz S, Harasty MD, Harris JW, Harrison H, He S, He W, He XH, He Y, Heppelmann S, Heppelmann S, Herrmann N, Hoffman E, Holub L, Hu Y, Huang H, Huang HZ, Huang SL, Huang T, Huang X, Huang Y, Humanic TJ, Igo G, Isenhower D, Jacobs WW, Jena C, Jentsch A, Ji Y, Jia J, Jiang K, Ju X, Judd EG, Kabana S, Kabir ML, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Kelsey M, Khyzhniak YV, Kikoła DP, Kim C, Kimelman B, Kincses D, Kisel I, Kiselev A, Knospe AG, Ko HS, Kochenda L, Kosarzewski LK, Kramarik L, Kravtsov P, Kumar L, Kumar S, Kunnawalkam Elayavalli R, Kwasizur JH, Lacey R, Lan S, Landgraf JM, Lauret J, Lebedev A, Lednicky R, Lee JH, Leung YH, Lewis N, Li C, Li C, Li W, Li X, Li Y, Liang X, Liang Y, Licenik R, Lin T, Lin Y, Lisa MA, Liu F, Liu H, Liu H, Liu P, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Longacre RS, Loyd E, Lukow NS, Luo XF, Ma L, Ma R, Ma YG, Magdy Abdelwahab Abdelrahman N, Mallick D, Margetis S, Markert C, Matis HS, Mazer JA, Minaev NG, Mioduszewski S, Mohanty B, Mondal MM, Mooney I, Morozov DA, Mukherjee A, Nagy M, Nam JD, Nasim M, Nayak K, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nishitani R, Nogach LV, Nonaka T, Nunes AS, Odyniec G, Ogawa A, Oh S, Okorokov VA, Page BS, Pak R, Pan J, Pandav A, Pandey AK, Panebratsev Y, Parfenov P, Pawlik B, Pawlowska D, Perkins C, Pinsky L, Pintér RL, Pluta J, Pokhrel BR, Ponimatkin G, Porter J, Posik M, Prozorova V, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Racz C, Radhakrishnan SK, Raha N, Ray RL, Reed R, Ritter HG, Robotkova M, Rogachevskiy OV, Romero JL, Roy D, Ruan L, Rusnak J, Sahoo AK, Sahoo NR, Sako H, Salur S, Sandweiss J, Sato S, Schmidke WB, Schmitz N, Schweid BR, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Shao T, Sheikh AI, Shen DY, Shi SS, Shi Y, Shou QY, Sichtermann EP, Sikora R, Simko M, Singh J, Singha S, Skoby MJ, Smirnov N, Söhngen Y, Solyst W, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stefaniak M, Stewart DJ, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Summa B, Sun XM, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Sweger ZW, Szymanski P, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Todoroki T, Tokarev M, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Truhlar T, Trzeciak BA, Tsai OD, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vanek J, Vasiliev AN, Vassiliev I, Verkest V, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang P, Wang X, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Wen L, Westfall GD, Wieman H, Wissink SW, Wu J, Wu J, Wu Y, Xi B, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu Y, Xu Z, Xu Z, Yan G, Yang C, Yang Q, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zbroszczyk H, Zha W, Zhang C, Zhang D, Zhang J, Zhang S, Zhang S, Zhang XP, Zhang Y, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao J, Zhou C, Zhou Y, Zhu X, Zurek M, Zyzak M. Evidence for Nonlinear Gluon Effects in QCD and Their Mass Number Dependence at STAR. PHYSICAL REVIEW LETTERS 2022; 129:092501. [PMID: 36083674 DOI: 10.1103/physrevlett.129.092501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 07/12/2022] [Accepted: 07/29/2022] [Indexed: 06/15/2023]
Abstract
The STAR Collaboration reports measurements of back-to-back azimuthal correlations of di-π^{0}s produced at forward pseudorapidities (2.6<η<4.0) in p+p, p+Al, and p+Au collisions at a center-of-mass energy of 200 GeV. We observe a clear suppression of the correlated yields of back-to-back π^{0} pairs in p+Al and p+Au collisions compared to the p+p data. The observed suppression of back-to-back pairs as a function of transverse momentum suggests nonlinear gluon dynamics arising at high parton densities. The larger suppression found in p+Au relative to p+Al collisions exhibits a dependence of the saturation scale Q_{s}^{2} on the mass number A. A linear scaling of the suppression with A^{1/3} is observed with a slope of -0.09±0.01.
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Shi X, Wei K, Wu Y, Wang W, Yang Q, Chen C. [MiR-372-5p regulates PI3K/AKT/CXCL12 signaling pathway by targeting PTEN to promote colorectal cancer cell metastasis]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2022; 42:1191-1197. [PMID: 36073218 DOI: 10.12122/j.issn.1673-4254.2022.08.11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate whether miR-372-5p regulates PI3K/AKT/CXCL12 signaling pathway by targeting PTEN to promote metastasis of colorectal cancer cells. METHODS We detected the differential expression of miR-372-5p using RT-qRCR in colorectal cancer and adjacent tissues, colorectal cancer cells and normal intestinal epithelial cells. Bioinformatic analysis and double luciferase assay were performed for verification of the targeting relationship between miR-372-5p and PTEN. Western blotting was used to assess the effects of transfection with miR-372-5p inhibitor and miR-372-5p mimics alone, co-transfection with miR-372-5p inhibitor and si-PTEN, and co-transfection with miR-372-5p mimics and PI3K inhibitor on the expressions of PTEN and CXCL12 and the activation of PI3K/AKT signal pathway; Transwell assay and scratch assay were used to examine the changes in the migration ability of the transfected cells, the cells co-transfected with miR-372-5p mimics and si-CXCL12, and the cells treated with conditioned medium from HCT116 cells transfected with miR-372-5p mimics. RESULTS The expression of miR-372-5p was significantly higher in colorectal cancer tissues than in adjacent tissues, and higher in HCT116 and SW620 cells than in NCM460 cells (P < 0.01). Double luciferase assay confirmed that PTEN was a potential target gene of miR-372-5p (P < 0.05). Transfection of HCT116 cells with miR-372-5p mimics obviously decreased PTEN protein expression, increase CXCL12 expression and the phosphorylation level of AKT, and lowered the cell migration ability, while transfection with miR-372-5p inhibitor produced the opposite effects (P < 0.05); si-PTEN obviously neutralized the effect of miR-372-5p inhibitor (P < 0.01). PI3K inhibitor significantly decreased CXCL12 expression and inhibited the cell migration (P < 0.05), and this effect was mitigated by miR-372-5p mimics (P < 0.01). Treatment with the conditioned medium from HCT116 cells transfected with miR-372-5p mimics significantly enhanced the migration ability of NCM460 cells, and this effect was suppressed by transfection with si-CXCL12 (P < 0.01). CONCLUSION MiR-372-5p activates PI3K/AKT signaling pathway by targeting PTEN and up-regulates CXCL12 expression to promoting metastasis of colorectal cancer cells.
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Zhao X, Wang B, Zhu X, Yang Q, Liu Y, Shao H, Zuo L, Luo Y, Wang Y, Liu L. [Analysis of phenotype and MYH7 gene variant in a family of patients with hypertrophic cardiomyopathy]. ZHONGHUA YI XUE YI CHUAN XUE ZA ZHI = ZHONGHUA YIXUE YICHUANXUE ZAZHI = CHINESE JOURNAL OF MEDICAL GENETICS 2022; 39:873-876. [PMID: 35929939 DOI: 10.3760/cma.j.cn511374-20210317-00239] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
OBJECTIVE To analyze the clinical phenotype and MYH7 gene variant in a Chinese pedigree affected with hypertrophic cardiomyopathy (HCM). METHODS The proband was screened for variant of 96 cardiomyopathy-associated genes by exonic amplification and high-throughput sequencing. Candidate variant was verified by Sanger sequencing among 300 healthy controls as well as family members of the proband. Co-segregation analysis of genotypes and clinical phenotypes was carried out for the pedigree. Clustal X software was used to analyze the sequence conservation of the variant among various species, and its pathogenicity was predicted by using bioinformatics software. RESULTS 6 out of 12 members from this pedigree were found to harbor heterozygous c.4124A>G (p.Tyr1375Cys) variant of the MYH7 gene, among whom five were diagnosed with HCM. The remaining one had failed to meet the diagnostic criteria for HCM, but had abnormal ECG. The same variant was not found in the 300 healthy controls. Amino acid sequence analysis showed that the variant is located in a highly conserved region, and bioinformatics analysis predicted that this variant may affect protein function and has a deleterious effect. Based on the American College of Medical Genetics and Genomics (ACMG) guidelines, the variant was predicted to be likely pathogenic (PM2+ PP1_Moderate+PP3+PP5). CONCLUSION The c.4124A>G (p.Tyr1375Cys) variant of the MYH7 gene probably underlay the pathogenesis in this pedigree. Above finding has important value for the early diagnosis of patients with HCM.
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Dang S, Guo Y, Han D, Ma G, Yu N, Yang Q, Duan X, Duan H, Ren J. MRI-based radiomics analysis in differentiating solid non-small-cell from small-cell lung carcinoma: a pilot study. Clin Radiol 2022; 77:e749-e757. [PMID: 35817610 DOI: 10.1016/j.crad.2022.06.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 04/29/2022] [Accepted: 06/01/2022] [Indexed: 12/24/2022]
Abstract
AIM To investigate the ability of a T2-weighted (W) magnetic resonance imaging (MRI)-based radiomics signature to differentiate solid non-small-cell lung carcinoma (NSCLC) from small-cell lung carcinoma (SCLC). MATERIALS AND METHODS The present retrospective study enrolled 152 eligible patients (NSCLC = 125, SCLC = 27). All patients underwent MRI using a 3 T scanner and radiomics features were extracted from T2W MRI. The least absolute shrinkage and selection operator (LASSO) logistic regression model was used to identify the optimal radiomics features for the construction of a radiomics model to differentiate solid NSCLC from SCLC. Threefold cross validation repeated 10 times was used for model training and evaluation. The conventional MRI morphology features of the lesions were also evaluated. The performance of the conventional MRI morphological features, and the radiomics signature model and nomogram model (combining radiomics signature with conventional MRI morphological features) was evaluated using receiver operating characteristic (ROC) curve analysis. RESULTS Five optimal features were chosen to build a radiomics signature. There was no significant difference in age, gender, and the largest diameter. The radiomics signature and conventional MRI morphological features (only pleural indentation and lymph node enlargement) were independent predictive factors for differentiating solid NSCLC from SCLC. The area under the ROC curves (AUCs) for MRI morphological features, and the radiomics model, and nomogram model was 0.69, 0.85, and 0.90 (ROC), respectively. CONCLUSIONS The T2W MRI-based radiomics signature is a potential non-invasive approach for distinguishing solid NSCLC from SCLC.
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Chen Q, Bakhshi M, Balci Y, Broders K, Cheewangkoon R, Chen S, Fan X, Gramaje D, Halleen F, Jung MH, Jiang N, Jung T, Májek T, Marincowitz S, Milenković I, Mostert L, Nakashima C, Nurul Faziha I, Pan M, Raza M, Scanu B, Spies C, Suhaizan L, Suzuki H, Tian C, Tomšovský M, Úrbez-Torres J, Wang W, Wingfield B, Wingfield M, Yang Q, Yang X, Zare R, Zhao P, Groenewald J, Cai L, Crous P. Genera of phytopathogenic fungi: GOPHY 4. Stud Mycol 2022; 101:417-564. [PMID: 36059898 PMCID: PMC9365048 DOI: 10.3114/sim.2022.101.06] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 05/04/2022] [Indexed: 11/24/2022] Open
Abstract
This paper is the fourth contribution in the Genera of Phytopathogenic Fungi (GOPHY) series. The series provides morphological descriptions and information about the pathology, distribution, hosts and disease symptoms, as well as DNA barcodes for the taxa covered. Moreover, 12 whole-genome sequences for the type or new species in the treated genera are provided. The fourth paper in the GOPHY series covers 19 genera of phytopathogenic fungi and their relatives, including Ascochyta, Cadophora, Celoporthe, Cercospora, Coleophoma, Cytospora, Dendrostoma, Didymella, Endothia, Heterophaeomoniella, Leptosphaerulina, Melampsora, Nigrospora, Pezicula, Phaeomoniella, Pseudocercospora, Pteridopassalora, Zymoseptoria, and one genus of oomycetes, Phytophthora. This study includes two new genera, 30 new species, five new combinations, and 43 typifications of older names. Taxonomic novelties: New genera: Heterophaeomoniella L. Mostert, C.F.J. Spies, Halleen & Gramaje, Pteridopassalora C. Nakash. & Crous; New species: Ascochyta flava Qian Chen & L. Cai, Cadophora domestica L. Mostert, R. van der Merwe, Halleen & Gramaje, Cadophora rotunda L. Mostert, R. van der Merwe, Halleen & Gramaje, Cadophora vinacea J.R. Úrbez-Torres, D.T. O'Gorman & Gramaje, Cadophora vivarii L. Mostert, Havenga, Halleen & Gramaje, Celoporthe foliorum H. Suzuki, Marinc. & M.J. Wingf., Cercospora alyssopsidis M. Bakhshi, Zare & Crous, Dendrostoma elaeocarpi C.M. Tian & Q. Yang, Didymella chlamydospora Qian Chen & L. Cai, Didymella gei Qian Chen & L. Cai, Didymella ligulariae Qian Chen & L. Cai, Didymella qilianensis Qian Chen & L. Cai, Didymella uniseptata Qian Chen & L. Cai, Endothia cerciana W. Wang. & S.F. Chen, Leptosphaerulina miscanthi Qian Chen & L. Cai, Nigrospora covidalis M. Raza, Qian Chen & L. Cai, Nigrospora globospora M. Raza, Qian Chen & L. Cai, Nigrospora philosophiae-doctoris M. Raza, Qian Chen & L. Cai, Phytophthora transitoria I. Milenković, T. Májek & T. Jung, Phytophthora panamensis T. Jung, Y. Balci, K. Broders & I. Milenković, Phytophthora variabilis T. Jung, M. Horta Jung & I. Milenković, Pseudocercospora delonicicola C. Nakash., L. Suhaizan & I. Nurul Faziha, Pseudocercospora farfugii C. Nakash., I. Araki, & Ai Ito, Pseudocercospora hardenbergiae Crous & C. Nakash., Pseudocercospora kenyirana C. Nakash., L. Suhaizan & I. Nurul Faziha, Pseudocercospora perrottetiae Crous, C. Nakash. & C.Y. Chen, Pseudocercospora platyceriicola C. Nakash., Y. Hatt, L. Suhaizan & I. Nurul Faziha, Pseudocercospora stemonicola C. Nakash., Y. Hatt., L. Suhaizan & I. Nurul Faziha, Pseudocercospora terengganuensis C. Nakash., Y. Hatt., L. Suhaizan & I. Nurul Faziha, Pseudocercospora xenopunicae Crous & C. Nakash.; New combinations: Heterophaeomoniella pinifoliorum (Hyang B. Lee et al.) L. Mostert, C.F.J. Spies, Halleen & Gramaje, Pseudocercospora pruni-grayanae (Sawada) C. Nakash. & Motohashi., Pseudocercospora togashiana (K. Ito & Tak. Kobay.) C. Nakash. & Tak. Kobay., Pteridopassalora nephrolepidicola (Crous & R.G. Shivas) C. Nakash. & Crous, Pteridopassalora lygodii (Goh & W.H. Hsieh) C. Nakash. & Crous; Typification: Epitypification: Botrytis infestans Mont., Cercospora abeliae Katsuki, Cercospora ceratoniae Pat. & Trab., Cercospora cladrastidis Jacz., Cercospora cryptomeriicola Sawada, Cercospora dalbergiae S.H. Sun, Cercospora ebulicola W. Yamam., Cercospora formosana W. Yamam., Cercospora fukuii W. Yamam., Cercospora glochidionis Sawada, Cercospora ixorana J.M. Yen & Lim, Cercospora liquidambaricola J.M. Yen, Cercospora pancratii Ellis & Everh., Cercospora pini-densiflorae Hori & Nambu, Cercospora profusa Syd. & P. Syd., Cercospora pyracanthae Katsuki, Cercospora horiana Togashi & Katsuki, Cercospora tabernaemontanae Syd. & P. Syd., Cercospora trinidadensis F. Stevens & Solheim, Melampsora laricis-urbanianae Tak. Matsumoto, Melampsora salicis-cupularis Wang, Phaeoisariopsis pruni-grayanae Sawada, Pseudocercospora angiopteridis Goh & W.H. Hsieh, Pseudocercospora basitruncata Crous, Pseudocercospora boehmeriigena U. Braun, Pseudocercospora coprosmae U. Braun & C.F. Hill, Pseudocercospora cratevicola C. Nakash. & U. Braun, Pseudocercospora cymbidiicola U. Braun & C.F. Hill, Pseudocercospora dodonaeae Boesew., Pseudocercospora euphorbiacearum U. Braun, Pseudocercospora lygodii Goh & W.H. Hsieh, Pseudocercospora metrosideri U. Braun, Pseudocercospora paraexosporioides C. Nakash. & U. Braun, Pseudocercospora symploci Katsuki & Tak. Kobay. ex U. Braun & Crous, Septogloeum punctatum Wakef.; Neotypification: Cercospora aleuritis I. Miyake; Lectotypification: Cercospora dalbergiae S.H. Sun, Cercospora formosana W. Yamam., Cercospora fukuii W. Yamam., Cercospora glochidionis Sawada, Cercospora profusa Syd. & P. Syd., Melampsora laricis-urbanianae Tak. Matsumoto, Phaeoisariopsis pruni-grayanae Sawada, Pseudocercospora symploci Katsuki & Tak. Kobay. ex U. Braun & Crous. Citation: Chen Q, Bakhshi M, Balci Y, Broders KD, Cheewangkoon R, Chen SF, Fan XL, Gramaje D, Halleen F, Horta Jung M, Jiang N, Jung T, Májek T, Marincowitz S, Milenković T, Mostert L, Nakashima C, Nurul Faziha I, Pan M, Raza M, Scanu B, Spies CFJ, Suhaizan L, Suzuki H, Tian CM, Tomšovský M, Úrbez-Torres JR, Wang W, Wingfield BD, Wingfield MJ, Yang Q, Yang X, Zare R, Zhao P, Groenewald JZ, Cai L, Crous PW (2022). Genera of phytopathogenic fungi: GOPHY 4. Studies in Mycology 101: 417-564. doi: 10.3114/sim.2022.101.06.
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Fang J, Van Der Geest JSA, Yao B, Yang Q, Chirico N, Brans MA, Roefs MT, Vader P, De Jager SCA, De Bruin A, Vink A, Van Mil A, Schiffelers RM, Lei Z, Sluijter JPG. E2F7/8 is involved in cardiomyocyte polyploidy but does not affect myocardial reperfusion injury recovery. Cardiovasc Res 2022. [DOI: 10.1093/cvr/cvac066.061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Other. Main funding source(s): CSC fellowship
Background
Polyploidy cells consist of more than two complete sets of homologous chromosomes. Although a characteristic feature of cardiomyocytes and observed in all mammalian species, its molecular mechanism and biological functions are still unknown. Cardiomyocytes polyploidy in rodents occurs mainly through incomplete cytokinesis and increases with age. Studies have demonstrated that E2F7/8 transcription factors are key regulators of polyploidy in the liver and pancreas, however, it remains unclear if E2F7/8 control the generation of polyploidy cardiomyocytes and what the functional consequence is post-myocardial infarction (MI).
Methods
By using a tamoxifen inducible Cre/LoxP approach in new-born mice, we deleted E2F7/8 transcription factors ubiquitously and evaluated the biological significance of postnatal E2F7/8 loss. Mice underwent myocardial ischemia reperfusion injury (IRI) and heart function was assessed by 4D-echocardiography. Cardiomyocyte nucleus polyploidy was measured by FACS and microscope.
Results
Deficiency of E2F7/8 significantly suppress cardiomyocyte mononucleated and multinucleated polyploidy, as well as dramatically decreased hepatocytes polyploidy. E2F7/8 defect also led to a decrease in cardiac stress related marker lever such as ANP, BNP, MMP2, β-MHC/α-MHC and an increase in CD31 expression level. Surprisingly, E2F7/8 deletion did not have impact on cardiac function and dimensions post-IRI.
Conclusion
In summary, we identified that E2F7/8 activity is involved in the cellular polyploidy in the heart but did not affect myocardial function after myocardial injury.
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Abdallah MS, Aboona BE, Adam J, Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal I, Aggarwal MM, Ahammed Z, Alekseev I, Anderson DM, Aparin A, Aschenauer EC, Ashraf MU, Atetalla FG, Attri A, Averichev GS, Bairathi V, Baker W, Ball Cap JG, Barish K, Behera A, Bellwied R, Bhagat P, Bhasin A, Bielcik J, Bielcikova J, Bordyuzhin IG, Brandenburg JD, Brandin AV, Bunzarov I, Cai XZ, Caines H, Calderón de la Barca Sánchez M, Cebra D, Chakaberia I, Chaloupka P, Chan BK, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chattopadhyay S, Chen D, Chen J, Chen JH, Chen X, Chen Z, Cheng J, Chevalier M, Choudhury S, Christie W, Chu X, Crawford HJ, Csanád M, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Dhamija A, Di Carlo L, Didenko L, Dixit P, Dong X, Drachenberg JL, Duckworth E, Dunlop JC, Elsey N, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fawzi FM, Fazio S, Federic P, Fedorisin J, Feng CJ, Feng Y, Filip P, Finch E, Fisyak Y, Francisco A, Fu C, Fulek L, Gagliardi CA, Galatyuk T, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Gupta A, Guryn W, Hamad AI, Hamed A, Han Y, Harabasz S, Harasty MD, Harris JW, Harrison H, He S, He W, He XH, He Y, Heppelmann S, Heppelmann S, Herrmann N, Hoffman E, Holub L, Hu Y, Huang H, Huang HZ, Huang SL, Huang T, Huang X, Huang Y, Humanic TJ, Igo G, Isenhower D, Jacobs WW, Jena C, Jentsch A, Ji Y, Jia J, Jiang K, Ju X, Judd EG, Kabana S, Kabir ML, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Kelsey M, Khyzhniak YV, Kikoła DP, Kim C, Kimelman B, Kincses D, Kisel I, Kiselev A, Knospe AG, Ko HS, Kochenda L, Kosarzewski LK, Kramarik L, Kravtsov P, Kumar L, Kumar S, Kunnawalkam Elayavalli R, Kwasizur JH, Lacey R, Lan S, Landgraf JM, Lauret J, Lebedev A, Lednicky R, Lee JH, Leung YH, Lewis N, Li C, Li C, Li W, Li X, Li Y, Liang X, Liang Y, Licenik R, Lin T, Lin Y, Lisa MA, Liu F, Liu H, Liu H, Liu P, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Longacre RS, Loyd E, Lukow NS, Luo XF, Ma L, Ma R, Ma YG, Magdy N, Mallick D, Margetis S, Markert C, Matis HS, Mazer JA, Minaev NG, Mioduszewski S, Mohanty B, Mondal MM, Mooney I, Morozov DA, Mukherjee A, Nagy M, Nam JD, Nasim M, Nayak K, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nishitani R, Nogach LV, Nonaka T, Nunes AS, Odyniec G, Ogawa A, Oh S, Okorokov VA, Page BS, Pak R, Pan J, Pandav A, Pandey AK, Panebratsev Y, Parfenov P, Pawlik B, Pawlowska D, Perkins C, Pinsky L, Pluta J, Pokhrel BR, Ponimatkin G, Porter J, Posik M, Prozorova V, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Racz C, Radhakrishnan SK, Raha N, Ray RL, Reed R, Ritter HG, Robotkova M, Rogachevskiy OV, Romero JL, Roy D, Ruan L, Rusnak J, Sahoo AK, Sahoo NR, Sako H, Salur S, Sandweiss J, Sato S, Schmidke WB, Schmitz N, Schweid BR, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Shao T, Sheikh AI, Shen DY, Shi SS, Shi Y, Shou QY, Sichtermann EP, Sikora R, Simko M, Singh J, Singha S, Skoby MJ, Smirnov N, Söhngen Y, Solyst W, Song Y, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stefaniak M, Stewart DJ, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Summa B, Sun XM, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Sweger ZW, Szymanski P, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Todoroki T, Tokarev M, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Truhlar T, Trzeciak BA, Tsai OD, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vanek J, Vasiliev AN, Vassiliev I, Verkest V, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang P, Wang X, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Wen L, Westfall GD, Wieman H, Wissink SW, Witt R, Wu J, Wu J, Wu Y, Xi B, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu Y, Xu Z, Xu Z, Yan G, Yang C, Yang Q, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zbroszczyk H, Zha W, Zhang C, Zhang D, Zhang J, Zhang S, Zhang S, Zhang XP, Zhang Y, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao J, Zhou C, Zhou Y, Zhu X, Zurek M, Zyzak M. Measurements of Proton High-Order Cumulants in sqrt[s_{NN}]=3 GeV Au+Au Collisions and Implications for the QCD Critical Point. PHYSICAL REVIEW LETTERS 2022; 128:202303. [PMID: 35657878 DOI: 10.1103/physrevlett.128.202303] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 04/11/2022] [Indexed: 06/15/2023]
Abstract
We report cumulants of the proton multiplicity distribution from dedicated fixed-target Au+Au collisions at sqrt[s_{NN}]=3.0 GeV, measured by the STAR experiment in the kinematic acceptance of rapidity (y) and transverse momentum (p_{T}) within -0.5<y<0 and 0.4<p_{T}<2.0 GeV/c. In the most central 0%-5% collisions, a proton cumulant ratio is measured to be C_{4}/C_{2}=-0.85±0.09 (stat)±0.82 (syst), which is 2σ below the Poisson baseline with respect to both the statistical and systematic uncertainties. The hadronic transport UrQMD model reproduces our C_{4}/C_{2} in the measured acceptance. Compared to higher energy results and the transport model calculations, the suppression in C_{4}/C_{2} is consistent with fluctuations driven by baryon number conservation and indicates an energy regime dominated by hadronic interactions. These data imply that the QCD critical region, if created in heavy-ion collisions, could only exist at energies higher than 3 GeV.
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Abdallah MS, Aboona BE, Adam J, Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal I, Aggarwal MM, Ahammed Z, Alekseev I, Anderson DM, Aparin A, Aschenauer EC, Ashraf MU, Atetalla FG, Attri A, Averichev GS, Bairathi V, Baker W, Ball Cap JG, Barish K, Behera A, Bellwied R, Bhagat P, Bhasin A, Bielcik J, Bielcikova J, Bordyuzhin IG, Brandenburg JD, Brandin AV, Bunzarov I, Cai XZ, Caines H, Calderón de la Barca Sánchez M, Cebra D, Chakaberia I, Chaloupka P, Chan BK, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chattopadhyay S, Chen D, Chen J, Chen JH, Chen X, Chen Z, Cheng J, Chevalier M, Choudhury S, Christie W, Chu X, Crawford HJ, Csanád M, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Dhamija A, Di Carlo L, Didenko L, Dixit P, Dong X, Drachenberg JL, Duckworth E, Dunlop JC, Elsey N, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fawzi FM, Fazio S, Federic P, Fedorisin J, Feng CJ, Feng Y, Filip P, Finch E, Fisyak Y, Francisco A, Fu C, Fulek L, Gagliardi CA, Galatyuk T, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Gupta A, Guryn W, Hamad AI, Hamed A, Han Y, Harabasz S, Harasty MD, Harris JW, Harrison H, He S, He W, He XH, He Y, Heppelmann S, Heppelmann S, Herrmann N, Hoffman E, Holub L, Hu Y, Huang H, Huang HZ, Huang SL, Huang T, Huang X, Huang Y, Humanic TJ, Igo G, Isenhower D, Jacobs WW, Jena C, Jentsch A, Ji Y, Jia J, Jiang K, Ju X, Judd EG, Kabana S, Kabir ML, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Kelsey M, Khyzhniak YV, Kikoła DP, Kim C, Kimelman B, Kincses D, Kisel I, Kiselev A, Knospe AG, Ko HS, Kochenda L, Kosarzewski LK, Kramarik L, Kravtsov P, Kumar L, Kumar S, Kunnawalkam Elayavalli R, Kwasizur JH, Lacey R, Lan S, Landgraf JM, Lauret J, Lebedev A, Lednicky R, Lee JH, Leung YH, Lewis N, Li C, Li C, Li W, Li X, Li Y, Liang X, Liang Y, Licenik R, Lin T, Lin Y, Lisa MA, Liu F, Liu H, Liu H, Liu P, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Longacre RS, Loyd E, Lukow NS, Luo XF, Ma L, Ma R, Ma YG, Magdy N, Mallick D, Margetis S, Markert C, Matis HS, Mazer JA, Minaev NG, Mioduszewski S, Mohanty B, Mondal MM, Mooney I, Morozov DA, Mukherjee A, Nagy M, Nam JD, Nasim M, Nayak K, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nishitani R, Nogach LV, Nonaka T, Nunes AS, Odyniec G, Ogawa A, Oh S, Okorokov VA, Page BS, Pak R, Pan J, Pandav A, Pandey AK, Panebratsev Y, Parfenov P, Pawlik B, Pawlowska D, Perkins C, Pinsky L, Pintér RL, Pluta J, Pokhrel BR, Ponimatkin G, Porter J, Posik M, Prozorova V, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Racz C, Radhakrishnan SK, Raha N, Ray RL, Reed R, Ritter HG, Robotkova M, Rogachevskiy OV, Romero JL, Roy D, Ruan L, Rusnak J, Sahoo AK, Sahoo NR, Sako H, Salur S, Sandweiss J, Sato S, Schmidke WB, Schmitz N, Schweid BR, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Shao T, Sheikh AI, Shen DY, Shi SS, Shi Y, Shou QY, Sichtermann EP, Sikora R, Simko M, Singh J, Singha S, Skoby MJ, Smirnov N, Söhngen Y, Solyst W, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stefaniak M, Stewart DJ, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Summa B, Sun XM, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Sweger ZW, Szymanski P, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Todoroki T, Tokarev M, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Truhlar T, Trzeciak BA, Tsai OD, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vanek J, Vasiliev AN, Vassiliev I, Verkest V, Videbaek F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang P, Wang X, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Wen L, Westfall GD, Wieman H, Wissink SW, Witt R, Wu J, Wu J, Wu Y, Xi B, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu Y, Xu Z, Xu Z, Yan G, Yang C, Yang Q, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zbroszczyk H, Zha W, Zhang C, Zhang D, Zhang J, Zhang S, Zhang S, Zhang XP, Zhang Y, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao J, Zhou C, Zhou Y, Zhu X, Zurek M, Zyzak M. Measurements of _{Λ}^{3}H and _{Λ}^{4}H Lifetimes and Yields in Au+Au Collisions in the High Baryon Density Region. PHYSICAL REVIEW LETTERS 2022; 128:202301. [PMID: 35657899 DOI: 10.1103/physrevlett.128.202301] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 01/26/2022] [Accepted: 04/05/2022] [Indexed: 06/15/2023]
Abstract
We report precision measurements of hypernuclei _{Λ}^{3}H and _{Λ}^{4}H lifetimes obtained from Au+Au collisions at sqrt[s_{NN}]=3.0 GeV and 7.2 GeV collected by the STAR experiment at the Relativistic Heavy Ion Collider, and the first measurement of _{Λ}^{3}H and _{Λ}^{4}H midrapidity yields in Au+Au collisions at sqrt[s_{NN}]=3.0 GeV. _{Λ}^{3}H and _{Λ}^{4}H, being the two simplest bound states composed of hyperons and nucleons, are cornerstones in the field of hypernuclear physics. Their lifetimes are measured to be 221±15(stat)±19(syst) ps for _{Λ}^{3}H and 218±6(stat)±13(syst) ps for _{Λ}^{4}H. The p_{T}-integrated yields of _{Λ}^{3}H and _{Λ}^{4}H are presented in different centrality and rapidity intervals. It is observed that the shape of the rapidity distribution of _{Λ}^{4}H is different for 0%-10% and 10%-50% centrality collisions. Thermal model calculations, using the canonical ensemble for strangeness, describes the _{Λ}^{3}H yield well, while underestimating the _{Λ}^{4}H yield. Transport models, combining baryonic mean-field and coalescence (jam) or utilizing dynamical cluster formation via baryonic interactions (phqmd) for light nuclei and hypernuclei production, approximately describe the measured _{Λ}^{3}H and _{Λ}^{4}H yields. Our measurements provide means to precisely assess our understanding of the fundamental baryonic interactions with strange quarks, which can impact our understanding of more complicated systems involving hyperons, such as the interior of neutron stars or exotic hypernuclei.
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Abdallah MS, Aboona BE, Adam J, Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal I, Aggarwal MM, Ahammed Z, Aitbaev A, Alekseev I, Anderson DM, Aparin A, Aschenauer EC, Ashraf MU, Atetalla FG, Attri A, Averichev GS, Bairathi V, Baker W, Ball Cap JG, Barish K, Behera A, Bellwied R, Bhagat P, Bhasin A, Bielcik J, Bielcikova J, Bordyuzhin IG, Brandenburg JD, Brandin AV, Bunzarov I, Cai XZ, Caines H, Calderón de la Barca Sánchez M, Cebra D, Chakaberia I, Chaloupka P, Chan BK, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chattopadhyay S, Chen D, Chen J, Chen JH, Chen X, Chen Z, Cheng J, Choudhury S, Christie W, Chu X, Crawford HJ, Csanád M, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Dhamija A, Di Carlo L, Didenko L, Dixit P, Dong X, Drachenberg JL, Duckworth E, Dunlop JC, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fawzi FM, Fazio S, Federic P, Fedorisin J, Feng CJ, Feng Y, Finch E, Fisyak Y, Francisco A, Fu C, Gagliardi CA, Galatyuk T, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Gupta A, Guryn W, Hamed A, Han Y, Harabasz S, Harasty MD, Harris JW, Harrison H, He S, He W, He XH, He Y, Heppelmann S, Herrmann N, Hoffman E, Holub L, Hu C, Hu Q, Hu Y, Huang H, Huang HZ, Huang SL, Huang T, Huang X, Huang Y, Humanic TJ, Isenhower D, Isshiki M, Jacobs WW, Jena C, Jentsch A, Ji Y, Jia J, Jiang K, Ju X, Judd EG, Kabana S, Kabir ML, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Kelsey M, Kikoła DP, Kimelman B, Kincses D, Kisel I, Kiselev A, Knospe AG, Ko HS, Kochenda L, Korobitsin A, Kosarzewski LK, Kramarik L, Kravtsov P, Kumar L, Kumar S, Kunnawalkam Elayavalli R, Kwasizur JH, Lacey R, Lan S, Landgraf JM, Lauret J, Lebedev A, Lednicky R, Lee JH, Leung YH, Lewis N, Li C, Li C, Li W, Li X, Li Y, Liang X, Liang Y, Licenik R, Lin T, Lin Y, Lisa MA, Liu F, Liu H, Liu H, Liu P, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Longacre RS, Loyd E, Lu T, Lukow NS, Luo XF, Ma L, Ma R, Ma YG, Magdy Abdelwahab Abdelrahman N, Mallick D, Manukhov SL, Margetis S, Markert C, Matis HS, Mazer JA, Minaev NG, Mioduszewski S, Mohanty B, Mondal MM, Mooney I, Morozov DA, Mukherjee A, Nagy M, Nam JD, Nasim M, Nayak K, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nishitani R, Nogach LV, Nonaka T, Nunes AS, Odyniec G, Ogawa A, Oh S, Okorokov VA, Okubo K, Page BS, Pak R, Pan J, Pandav A, Pandey AK, Panebratsev Y, Parfenov P, Paul A, Pawlik B, Pawlowska D, Perkins C, Pluta J, Pokhrel BR, Ponimatkin G, Porter J, Posik M, Prozorova V, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Racz C, Radhakrishnan SK, Raha N, Ray RL, Reed R, Ritter HG, Robotkova M, Romero JL, Roy D, Ruan L, Sahoo AK, Sahoo NR, Sako H, Salur S, Samigullin E, Sandweiss J, Sato S, Schmidke WB, Schmitz N, Schweid BR, Seck F, Seger J, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Shao T, Sharma R, Sheikh AI, Shen DY, Shi SS, Shi Y, Shou QY, Sichtermann EP, Sikora R, Simko M, Singh J, Singha S, Sinha P, Skoby MJ, Smirnov N, Söhngen Y, Solyst W, Song Y, Spinka HM, Srivastava B, Stanislaus TDS, Stefaniak M, Stewart DJ, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Sun XM, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Sweger ZW, Szymanski P, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Todoroki T, Tokarev M, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Truhlar T, Trzeciak BA, Tsai OD, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vanek J, Vasiliev AN, Vassiliev I, Verkest V, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang P, Wang X, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Westfall GD, Wieman H, Wissink SW, Witt R, Wu J, Wu J, Wu Y, Xi B, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu Y, Xu Z, Xu Z, Yan G, Yang C, Yang Q, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zbroszczyk H, Zha W, Zhang C, Zhang D, Zhang J, Zhang S, Zhang S, Zhang Y, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao F, Zhao J, Zhao M, Zhou C, Zhou Y, Zhu X, Zurek M, Zyzak M. Probing the Gluonic Structure of the Deuteron with J/ψ Photoproduction in d+Au Ultraperipheral Collisions. PHYSICAL REVIEW LETTERS 2022; 128:122303. [PMID: 35394314 DOI: 10.1103/physrevlett.128.122303] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 01/18/2022] [Accepted: 02/25/2022] [Indexed: 06/14/2023]
Abstract
Understanding gluon density distributions and how they are modified in nuclei are among the most important goals in nuclear physics. In recent years, diffractive vector meson production measured in ultraperipheral collisions (UPCs) at heavy-ion colliders has provided a new tool for probing the gluon density. In this Letter, we report the first measurement of J/ψ photoproduction off the deuteron in UPCs at the center-of-mass energy sqrt[s_{NN}]=200 GeV in d+Au collisions. The differential cross section as a function of momentum transfer -t is measured. In addition, data with a neutron tagged in the deuteron-going zero-degree calorimeter is investigated for the first time, which is found to be consistent with the expectation of incoherent diffractive scattering at low momentum transfer. Theoretical predictions based on the color glass condensate saturation model and the leading twist approximation nuclear shadowing model are compared with the data quantitatively. A better agreement with the saturation model has been observed. With the current measurement, the results are found to be directly sensitive to the gluon density distribution of the deuteron and the deuteron breakup process, which provides insights into the nuclear gluonic structure.
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Yang Q, Lin Z, Zhang W, Li J, Chen X, Zhang J, Yang T. Monkey plays Pac-Man with compositional strategies and hierarchical decision-making. eLife 2022; 11:74500. [PMID: 35286255 PMCID: PMC8963886 DOI: 10.7554/elife.74500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 03/13/2022] [Indexed: 11/18/2022] Open
Abstract
Humans can often handle daunting tasks with ease by developing a set of strategies to reduce decision-making into simpler problems. The ability to use heuristic strategies demands an advanced level of intelligence and has not been demonstrated in animals. Here, we trained macaque monkeys to play the classic video game Pac-Man. The monkeys’ decision-making may be described with a strategy-based hierarchical decision-making model with over 90% accuracy. The model reveals that the monkeys adopted the take-the-best heuristic by using one dominating strategy for their decision-making at a time and formed compound strategies by assembling the basis strategies to handle particular game situations. With the model, the computationally complex but fully quantifiable Pac-Man behavior paradigm provides a new approach to understanding animals’ advanced cognition.
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Abdallah MS, Adam J, Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal I, Aggarwal MM, Ahammed Z, Alekseev I, Anderson DM, Aparin A, Aschenauer EC, Ashraf MU, Atetalla FG, Attri A, Averichev GS, Bairathi V, Baker W, Ball Cap JG, Barish K, Behera A, Bellwied R, Bhagat P, Bhasin A, Bielcik J, Bielcikova J, Bordyuzhin IG, Brandenburg JD, Brandin AV, Bunzarov I, Butterworth J, Cai XZ, Caines H, Calderón de la Barca Sánchez M, Cebra D, Chakaberia I, Chaloupka P, Chan BK, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chattopadhyay S, Chen D, Chen J, Chen JH, Chen X, Chen Z, Cheng J, Chevalier M, Choudhury S, Christie W, Chu X, Crawford HJ, Csanád M, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Dhamija A, Di Carlo L, Didenko L, Dong X, Drachenberg JL, Dunlop JC, Elsey N, Engelage J, Eppley G, Esumi S, Ewigleben A, Eyser O, Fatemi R, Fawzi FM, Fazio S, Federic P, Fedorisin J, Feng CJ, Feng Y, Filip P, Finch E, Fisyak Y, Francisco A, Fu C, Fulek L, Gagliardi CA, Galatyuk T, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Gupta A, Guryn W, Hamad AI, Hamed A, Han Y, Harabasz S, Harasty MD, Harris JW, Harrison H, He S, He W, He XH, He Y, Heppelmann S, Heppelmann S, Herrmann N, Hoffman E, Holub L, Hu Y, Huang H, Huang HZ, Huang SL, Huang T, Huang X, Huang Y, Humanic TJ, Igo G, Isenhower D, Jacobs WW, Jena C, Jentsch A, Ji Y, Jia J, Jiang K, Ju X, Judd EG, Kabana S, Kabir ML, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Khyzhniak YV, Kikoła DP, Kim C, Kimelman B, Kincses D, Kisel I, Kiselev A, Knospe AG, Kochenda L, Kosarzewski LK, Kramarik L, Kravtsov P, Kumar L, Kumar S, Kunnawalkam Elayavalli R, Kwasizur JH, Lan S, Landgraf JM, Lauret J, Lebedev A, Lednicky R, Lee JH, Leung YH, Li C, Li C, Li W, Li X, Li Y, Liang X, Liang Y, Licenik R, Lin T, Lin Y, Lisa MA, Liu F, Liu H, Liu H, Liu P, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Longacre RS, Loyd E, Lukow NS, Luo X, Ma L, Ma R, Ma YG, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis HS, Mazer JA, Minaev NG, Mioduszewski S, Mohanty B, Mondal MM, Mooney I, Morozov DA, Mukherjee A, Nagy M, Nam JD, Nasim M, Nayak K, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nishitani R, Nogach LV, Nonaka T, Nunes AS, Odyniec G, Ogawa A, Oh S, Okorokov VA, Page BS, Pak R, Pandav A, Pandey AK, Panebratsev Y, Parfenov P, Pawlik B, Pawlowska D, Pei H, Perkins C, Pinsky L, Pintér RL, Pluta J, Pokhrel BR, Ponimatkin G, Porter J, Posik M, Prozorova V, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Racz C, Radhakrishnan SK, Raha N, Ray RL, Reed R, Ritter HG, Robotkova M, Rogachevskiy OV, Romero JL, Ruan L, Rusnak J, Sahoo NR, Sako H, Salur S, Sandweiss J, Sato S, Schmidke WB, Schmitz N, Schweid BR, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Shao T, Sheikh AI, Shen D, Shi SS, Shi Y, Shou QY, Sichtermann EP, Sikora R, Simko M, Singh J, Singha S, Skoby MJ, Smirnov N, Söhngen Y, Solyst W, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stefaniak M, Stewart DJ, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Summa B, Sun XM, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Sweger ZW, Szymanski P, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Todoroki T, Tokarev M, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Truhlar T, Trzeciak BA, Tsai OD, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vanek J, Vasiliev AN, Vassiliev I, Verkest V, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang P, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Wen L, Westfall GD, Wieman H, Wissink SW, Wu J, Wu Y, Xi B, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu Y, Xu Z, Xu Z, Yang C, Yang Q, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zbroszczyk H, Zha W, Zhang C, Zhang D, Zhang S, Zhang S, Zhang XP, Zhang Y, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao J, Zhou C, Zhu X, Zhu Z, Zurek M, Zyzak M. Search for the Chiral Magnetic Effect via Charge-Dependent Azimuthal Correlations Relative to Spectator and Participant Planes in Au+Au Collisions at sqrt[s_{NN}]=200 GeV. PHYSICAL REVIEW LETTERS 2022; 128:092301. [PMID: 35302834 DOI: 10.1103/physrevlett.128.092301] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 10/11/2021] [Accepted: 02/02/2022] [Indexed: 06/14/2023]
Abstract
The chiral magnetic effect (CME) refers to charge separation along a strong magnetic field due to imbalanced chirality of quarks in local parity and charge-parity violating domains in quantum chromodynamics. The experimental measurement of the charge separation is made difficult by the presence of a major background from elliptic azimuthal anisotropy. This background and the CME signal have different sensitivities to the spectator and participant planes, and could thus be determined by measurements with respect to these planes. We report such measurements in Au+Au collisions at a nucleon-nucleon center-of-mass energy of 200 GeV at the Relativistic Heavy-Ion Collider. It is found that the charge separation, with the flow background removed, is consistent with zero in peripheral (large impact parameter) collisions. Some indication of finite CME signals is seen in midcentral (intermediate impact parameter) collisions. Significant residual background effects may, however, still be present.
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Yang Q, Wang A, Luo J, Tang W. Improving ionic conductivity of polymer-based solid electrolytes for lithium metal batteries. Chin J Chem Eng 2022. [DOI: 10.1016/j.cjche.2021.07.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Bao YM, Yang Q, Yi QW, Liu XL, Huang MF, Liu XL, Zheng YJ. [Follow-up of a case diagnosed as infant diffuse interstitial lung disease caused by ABCA3 gene variation]. ZHONGHUA ER KE ZA ZHI = CHINESE JOURNAL OF PEDIATRICS 2022; 60:149-150. [PMID: 35090236 DOI: 10.3760/cma.j.cn112140-20210617-00510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
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JIANPING W, li J, Wei X, Rui Z, Qianqian H, Yang Q. POS-374 Identifying DUSP-1 and FOSB as hub genes in immunoglobulin A nephropathy by WGCNA and DEGs screening and validation. Kidney Int Rep 2022. [DOI: 10.1016/j.ekir.2022.01.396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Chang WJ, Wang SY, Tang HH, Dong BL, Yang Q, Chen JY, Chen SH. Development of a micro-electrochemical machining nanosecond pulse power supply. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2022; 93:024707. [PMID: 35232134 DOI: 10.1063/5.0076998] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 01/26/2022] [Indexed: 06/14/2023]
Abstract
Micro-electrochemical machining (micro-ECM) has been widely used for microscale and nanoscale processing of materials. The performance of the nanosecond pulse power supply is directly related to the precision of micro-ECM, which is one of the core technologies for micro-ECM. In this work, a nanosecond pulse power supply, with adjustable pulse frequency, duty cycle, and voltage, was designed with an STM32F103VET6 single-chip microcomputer as the control core and a metal-oxide-semiconductor field-effect transistor as the chopper switch component. The performance test has shown that the power supply can produce a continuous pulse with the highest frequency of 8 MHz, the shortest pulse width of 50 ns, the maximum peak current of 12 A, and the maximum voltage of 10 V. As compared with the power supply reported in the literature, the present power supply demonstrated the enhanced output current and improved waveform of the nanosecond pulse output, which could result in better machining accuracy and efficiency for micro-ECM.
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Zhang Z, Qiu S, Huang X, Jin K, Zhou X, Yang M, Lin T, Zou X, Yang Q, Yang L, Wei Q. Association between Testosterone and Serum Soluble α-Klotho in U.S. Males: NHANES 2011-2016. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)00480-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Han Y, Huang Y, Gao P, Yang Q, Jia L, Zheng Y, Li W. Leptin Aggravates Periodontitis by Promoting M1 Polarization via NLRP3. J Dent Res 2022; 101:675-685. [PMID: 35050801 DOI: 10.1177/00220345211059418] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Periodontitis is characterized by periodontal pocket formation, loss of attachment, and alveolar bone resorption. Both innate and adaptive immunity are involved in the pathogenesis of this oral chronic inflammatory disease. Accumulating evidence indicates a critical role of leptin in periodontal diseases. However, the mechanism by which leptin promotes periodontitis pathogenesis remains unclear. In the present study, we observed an elevated expression of leptin in the serum of periodontitis mice compared to that in healthy controls. There was a higher extent of M1 phenotype macrophage infiltration in mice periodontitis samples than in healthy controls. A positive correlation was observed between the serum leptin levels and M1 macrophages. Treatment with leptin increased M1 macrophage polarization and decreased M2 macrophage polarization in RAW 264.7 cells. Moreover, leptin facilitated lipopolysaccharide (LPS)-induced M1 phenotype macrophage polarization in RAW 264.7 cells. In bone marrow-derived macrophages (BMDMs) generated from leptin-deficient obese (ob/ob) mice, M1 macrophage polarization was significantly attenuated after LPS stimulation compared to the healthy controls. With regards to the molecular mechanism, we found that leptin activated the NOD-like receptor family pyrin domain containing 3 (NLRP3) inflammasome and promoted M1 polarization via the NLRP3 inflammasome in vitro. In BMDMs generated from Nlrp3-/- mice, M1 macrophage polarization was significantly attenuated after synchronous stimulation with leptin and LPS compared with BMDMs produced by healthy controls. The NLRP3 inhibitor MCC950 also prevented leptin-mediated M1 macrophage polarization in RAW 264.7 cells. Nlrp3-/- periodontitis models indicated that leptin aggravates the periodontal response to the ligature by promoting M1 macrophage polarization via the NLRP3 inflammasome. Taken together, we show that leptin promotes the progression of periodontitis via proinflammatory M1 macrophage skewing, and targeting leptin/NLRP3 signaling may be a feasible approach for treating periodontitis.
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Yang Q, Mao Y, Wang J, Yu H, Zhang X, Pei X, Duan Z, Xiao C, Ma M. Gestational bisphenol A exposure impairs hepatic lipid metabolism by altering mTOR/CRTC2/SREBP1 in male rat offspring. Hum Exp Toxicol 2022; 41:9603271221129852. [PMID: 36137816 DOI: 10.1177/09603271221129852] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Lipid metabolism is an important biochemical process in the body. Recent studies have found that environmental endocrine disruptors play an important role in the regulation of lipid metabolism. Bisphenol A (BPA), a common environmental endocrine disruptor, has adverse effects on lipid metabolism, but the mechanism is still unclear. This study aimed to investigate the effects of gestational BPA exposure on hepatic lipid metabolism and its possible mechanism in male offspring. The pregnant Sprague-Dawley rats were exposed to BPA (0, 0.05, 0.5, 5 mg/kg/day) from day 5 to day 19 of gestation to investigate the levels of triglyceride (TG) and total cholesterol (TC), and the expression of liver lipid metabolism-related genes in male offspring rats. The results showed that compared with the control group, the TG and TC levels in serum and liver in BPA-exposed groups was increased. And the expressions of liver fatty acid oxidation related genes, such as peroxisome proliferators-activated receptor α (PPARα) and carnitine palmitoyl transferase 1α (CPT1α), were down-regulated. However, the expressions of fatty acid synthesis related genes, such as sterol regulatory element binding proteins 1 (SREBP-1), acetyl-CoA carboxylase 1 (ACC1), fatty acid synthase (FAS) and stearoyl-CoA desaturase 1 (SCD-1), were up-regulated. The increased protein levels of mTOR and p-CRTC2 suggested that CREB-regulated transcription coactivator 2 (CRTC2) might be an important mediator in the mTOR/SREBP-1 pathway. In conclusion, these results demonstrated that mTOR/CRTC2/SREBP-1 could be affected by gestational BPA exposure, which may involve in the lipid metabolic disorders in later life.
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Abdallah MS, Adam J, Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal I, Aggarwal MM, Ahammed Z, Alekseev I, Anderson DM, Aparin A, Aschenauer EC, Ashraf MU, Atetalla FG, Attri A, Averichev GS, Bairathi V, Baker W, Ball Cap JG, Barish K, Behera A, Bellwied R, Bhagat P, Bhasin A, Bielcik J, Bielcikova J, Bordyuzhin IG, Brandenburg JD, Brandin AV, Bunzarov I, Butterworth J, Cai XZ, Caines H, Calderón de la Barca Sánchez M, Cebra D, Chakaberia I, Chaloupka P, Chan BK, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chattopadhyay S, Chen D, Chen J, Chen JH, Chen X, Chen Z, Cheng J, Chevalier M, Choudhury S, Christie W, Chu X, Crawford HJ, Csanád M, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Dhamija A, Di Carlo L, Didenko L, Dong X, Drachenberg JL, Duckworth E, Dunlop JC, Elsey N, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fawzi FM, Fazio S, Federic P, Fedorisin J, Feng CJ, Feng Y, Filip P, Finch E, Fisyak Y, Francisco A, Fu C, Fulek L, Gagliardi CA, Galatyuk T, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Gupta A, Guryn W, Hamad AI, Hamed A, Han Y, Harabasz S, Harasty MD, Harris JW, Harrison H, He S, He W, He XH, He Y, Heppelmann S, Heppelmann S, Herrmann N, Hoffman E, Holub L, Hu Y, Huang H, Huang HZ, Huang SL, Huang T, Huang X, Huang Y, Humanic TJ, Igo G, Isenhower D, Jacobs WW, Jena C, Jentsch A, Ji Y, Jia J, Jiang K, Ju X, Judd EG, Kabana S, Kabir ML, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Khyzhniak YV, Kikoła DP, Kim C, Kimelman B, Kincses D, Kisel I, Kiselev A, Knospe AG, Kochenda L, Kosarzewski LK, Kramarik L, Kravtsov P, Kumar L, Kumar S, Kunnawalkam Elayavalli R, Kwasizur JH, Lacey R, Lan S, Landgraf JM, Lauret J, Lebedev A, Lednicky R, Lee JH, Leung YH, Li C, Li C, Li W, Li X, Li Y, Liang X, Liang Y, Licenik R, Lin T, Lin Y, Lisa MA, Liu F, Liu H, Liu H, Liu P, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Longacre RS, Loyd E, Lukow NS, Luo X, Ma L, Ma R, Ma YG, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis HS, Mazer JA, Minaev NG, Mioduszewski S, Mohanty B, Mondal MM, Mooney I, Morozov DA, Mukherjee A, Nagy M, Nam JD, Nasim M, Nayak K, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nishitani R, Nogach LV, Nonaka T, Nunes AS, Odyniec G, Ogawa A, Oh S, Okorokov VA, Page BS, Pak R, Pandav A, Pandey AK, Panebratsev Y, Parfenov P, Pawlik B, Pawlowska D, Pei H, Perkins C, Pinsky L, Pintér RL, Pluta J, Pokhrel BR, Ponimatkin G, Porter J, Posik M, Prozorova V, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Racz C, Radhakrishnan SK, Raha N, Ray RL, Reed R, Ritter HG, Robotkova M, Rogachevskiy OV, Romero JL, Ruan L, Rusnak J, Sahoo NR, Sako H, Salur S, Sandweiss J, Sato S, Schmidke WB, Schmitz N, Schweid BR, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Shao T, Sheikh AI, Shen D, Shi SS, Shi Y, Shou QY, Sichtermann EP, Sikora R, Simko M, Singh J, Singha S, Skoby MJ, Smirnov N, Söhngen Y, Solyst W, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stefaniak M, Stewart DJ, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Summa B, Sun XM, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Sweger ZW, Szymanski P, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Todoroki T, Tokarev M, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Truhlar T, Trzeciak BA, Tsai OD, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vanek J, Vasiliev AN, Vassiliev I, Verkest V, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang P, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Wen L, Westfall GD, Wieman H, Wissink SW, Wu J, Wu Y, Xi B, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu Y, Xu Z, Xu Z, Yang C, Yang Q, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zbroszczyk H, Zha W, Zhang C, Zhang D, Zhang J, Zhang S, Zhang S, Zhang XP, Zhang Y, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao J, Zhou C, Zhu X, Zhu Z, Zurek M, Zyzak M. Measurement of the Sixth-Order Cumulant of Net-Proton Multiplicity Distributions in Au+Au Collisions at sqrt[s_{NN}]=27, 54.4, and 200 GeV at RHIC. PHYSICAL REVIEW LETTERS 2021; 127:262301. [PMID: 35029466 DOI: 10.1103/physrevlett.127.262301] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/19/2021] [Accepted: 11/11/2021] [Indexed: 06/14/2023]
Abstract
According to first-principle lattice QCD calculations, the transition from quark-gluon plasma to hadronic matter is a smooth crossover in the region μ_{B}≤T_{c}. In this range the ratio, C_{6}/C_{2}, of net-baryon distributions are predicted to be negative. In this Letter, we report the first measurement of the midrapidity net-proton C_{6}/C_{2} from 27, 54.4, and 200 GeV Au+Au collisions at the Relativistic Heavy Ion Collider (RHIC). The dependence on collision centrality and kinematic acceptance in (p_{T}, y) are analyzed. While for 27 and 54.4 GeV collisions the C_{6}/C_{2} values are close to zero within uncertainties, it is observed that for 200 GeV collisions, the C_{6}/C_{2} ratio becomes progressively negative from peripheral to central collisions. Transport model calculations without critical dynamics predict mostly positive values except for the most central collisions within uncertainties. These observations seem to favor a smooth crossover in the high-energy nuclear collisions at top RHIC energy.
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Lu L, Ma J, Liu Y, Shao Y, Xiong X, Duan W, Gao E, Yang Q, Chen S, Yang J, Ren J, Zheng Q, Liu J. FSTL1-USP10-Notch1 Signaling Axis Protects Against Cardiac Dysfunction Through Inhibition of Myocardial Fibrosis in Diabetic Mice. Front Cell Dev Biol 2021; 9:757068. [PMID: 34957094 PMCID: PMC8695978 DOI: 10.3389/fcell.2021.757068] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 11/17/2021] [Indexed: 12/11/2022] Open
Abstract
The incidence of type 2 diabetes mellitus (T2DM) has been increasing globally, and T2DM patients are at an increased risk of major cardiac events such as myocardial infarction (MI). Nevertheless, the molecular mechanisms underlying MI injury in T2DM remain elusive. Ubiquitin-specific protease 10 (USP10) functions as a NICD1 (Notch1 receptor) deubiquitinase that fine-tunes the essential myocardial fibrosis regulator Notch signaling. Follistatin-like protein 1 (FSTL1) is a cardiokine with proven benefits in multiple pathological processes including cardiac fibrosis and insulin resistance. This study was designed to examine the roles of FSTL1/USP10/Notch1 signaling in MI-induced cardiac dysfunction in T2DM. High-fat-diet-treated, 8-week-old C57BL/6J mice and db/db T2DM mice were used. Intracardiac delivery of AAV9-FSTL1 was performed in T2DM mice following MI surgery with or without intraperitoneal injection of crenigacestat (LY3039478) and spautin-1. Our results demonstrated that FSTL1 improved cardiac function following MI under T2DM by reducing serum lactate dehydrogenase (LDH) and myocardial apoptosis as well as cardiac fibrosis. Further in vivo studies revealed that the protective role of FSTL1 against MI injury in T2DM was mediated by the activation of USP10/Notch1. FSTL1 protected cardiac fibroblasts (CFs) against DM-MI-induced cardiofibroblasts injury by suppressing the levels of fibrosis markers, and reducing LDH and MDA concentrations in a USP10/Notch1-dependent manner. In conclusion, FSTL1 treatment ameliorated cardiac dysfunction in MI with co-existent T2DM, possibly through inhibition of myocardial fibrosis and apoptosis by upregulating USP10/Notch1 signaling. This finding suggests the clinical relevance and therapeutic potential of FSTL1 in T2DM-associated MI and other cardiovascular diseases.
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Chang P, Tai B, Zheng M, Yang Q, Xing F. Inhibition of Aspergillus flavus growth and aflatoxin B1 production by natamycin. WORLD MYCOTOXIN J 2021. [DOI: 10.3920/wmj2020.2620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Aspergillus flavus causes huge crop losses, reduces crop quality and has adverse effects on human and animal health. A large amount of food contaminated with aflatoxin can greatly increase the risk of liver cancer. Therefore, prevention and control of aflatoxin production have aroused attention of research in various countries. Natamycin extracted from Streptomyces spp. has been widely used in production practice due to its good specificity and safety. Here, we found that natamycin could significantly inhibit fungal growth, conidia germination, ergosterol and AFB1 production by A. flavus in a dose-dependent manner. Scanning electron microscope analysis indicated that the number of conidia was decreased, the outer wall of conidia was destroyed, and the mycelia were shrivelled and tangled by natamycin. RNA-Seq data indicated that natamycin inhibited fungal growth and conidia development of A. flavus by significantly down-regulating some genes involved in ergosterol biosynthesis, such as Erg13, HMG1 and HMG2. It inhibited conidia germination by significantly down-regulating some genes related to conidia development, such as FluG and VosA. After natamycin exposure, the decreased ratio of aflS/aflR caused by the down-regulation of all the structural genes, which subsequently resulted in the suppression of AFB1 production. In conclusion, this study served to reveal the inhibitory mechanisms of natamycin on fungal growth and AFB1 biosynthesis in A. flavus and to provide solid evidence for its application in controlling AFB1 contamination.
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Yang Q, Yang D, Zhu HB, Li P, Wu XP, Tan YR. LncRNA MORT negatively regulates FGF1 to suppress malignant progression of breast cancer. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2021; 25:6179-6186. [PMID: 34730198 DOI: 10.26355/eurrev_202110_26988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To explore the biological function of long non-coding RNA (lncRNA) MORT in the malignant progression of breast cancer (BCa) and the underlying mechanism, and to provide a novel strategy for clinical treatment. PATIENTS AND METHODS Quantitative Real Time-Polymerase Chain Reaction (qRT-PCR) was conducted to detect differential level of MORT in BCa specimens and cell lines. The correlation between MORT level and pathological indexes of BCa patients was analyzed. After intervening MORT level in SKBR-3 and MCF-7 cells, cell viability, migratory rate and wound closure were examined through Cell Counting Kit-8 (CCK-8), transwell and wound healing assay, respectively. Dual-Luciferase reporter assay and rescue experiments were conducted to uncover the regulatory effect of MORT on its target gene FGF1. In vivo function of MORT in mediating tumor growth of BCa was finally assessed by generating a xenograft model in nude mice. RESULTS MORT was downregulated in BCa tissues and cell lines. Low level of MORT predicted higher rate of distant metastasis in BCa patients. Overexpression of MORT in SKBR-3 cells reduced proliferative and migratory rates, while knockdown of MORT in MCF-7 enhanced them. Moreover, in vivo overexpression of MORT slowed down tumor growth of BCa in nude mice. MORT could negatively regulate its target gene FGF1, which was responsible for the anti-cancer role of MORT in BCa progression. CONCLUSIONS MORT is downregulated in BCa specimens, which suppresses proliferative and migratory potentials of BCa cells by negatively regulating FGF1. MORT can be an effective target for precision treatment of BCa.
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Zhang Q, Cascio E, Yang Q, Gerweck L, Huang P, McNamara A, Gottschalk B, Flanz J, Schuemann J. The Role of Oxygen in the Skin-Sparing Effect of Flash Proton Irradiation. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Shangguan X, Yang Q, Wu X, Cao J. Function analysis of a cotton R2R3 MYB transcription factor GhMYB3 in regulating plant trichome development. PLANT BIOLOGY (STUTTGART, GERMANY) 2021; 23:1118-1127. [PMID: 34396658 DOI: 10.1111/plb.13299] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 05/26/2021] [Indexed: 06/13/2023]
Abstract
Cotton is an important fibre-producing crop. Cotton fibres consist of highly elongated trichomes derived from the ovule. To improve the quality of cotton, it is necessary to identify the genes regulating fibre development. GhMYB3 was identified through bioinfomatic analysis and introduced to Arabidopsis and cotton to observe the phenotype. Protein inteaction and promoter bingding assays were conducted to explore the role of GhMYB3 in trichome fibre growth. Cotton fibre development might share a similar regulatory mechanism to Arabidopsis leaf trichomes, which is determined by the essential regulatory complex, MYB-bHLH-WD40. The GL1-like R2R3 MYB transcription factor GhMYB3 interacts with the AtGL3 protein involved in Arabidopsis trichome development. Ectopic expression of GhMYB3 could rescue the glabrous phenotype of the Arabidopsis gl1 mutant and produced more ectopic trichomes on inflorescence stems and floral organs, confirming its orthologous function in plant trichome development. The expression of GhMYB3 increased in response to exogenous gibberellin (GA3 ), auxin (IAA) and methyl jasmonate (MeJA). Overexpression of this gene in cotton leads to a slight increase in fibre length and lint percentage, possibly by activating the transcription of its downstream gene GhRDL1 or other fibre-related genes. The results increase our understanding of the key role of GhMYB3 in positively controlling plant trichome development, and this gene could be a potential target for molecular breeding in cotton.
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Jiang H, Cheng QF, Zhu BZ, Yang Q. [Study on the relationship between non-alcoholic fatty liver disease and sarcopenia in type 2 diabetes mellitus]. ZHONGHUA GAN ZANG BING ZA ZHI = ZHONGHUA GANZANGBING ZAZHI = CHINESE JOURNAL OF HEPATOLOGY 2021; 29:977-982. [PMID: 34814392 DOI: 10.3760/cma.j.cn501113-20201018-00560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To explore the relationship between non-alcoholic fatty liver disease and sarcopenia in patients with type 2 diabetes mellitus. Methods: 792 cases with type 2 diabetes mellitus who were hospitalized in the Endocrinology Department of the First Affiliated Hospital of Chongqing Medical University from June 2013 to December 2015 were enrolled in this cross-sectional study. Liver ultrasound examination and dual-energy X-ray absorptiometry (DXA) were used to examine the body composition. Patients were grouped according to gender and whether or not they had combined NAFLD, and indicators such as age, duration of diabetes, body mass index (BMI), waist circumference, biochemical indicators, skeletal muscle mass index (SMI), prevalence of sarcopenia, and medication status were collected. An independent-sample t-test, two-sample Kolmogorov-Smirnov test or χ (2) test were performed on the data. Logistic regression model was used to analyze the correlation between NAFLD, sarcopenia and SMI in diabetic patients of different genders. Results: The average age of 792 cases were (64.54 ± 9.61) years, and there were 301 (38%) patients with NAFLD. The prevalence of sarcopenia in male and female NAFLD patients was significantly higher than non-NAFLD patients (male 20.2% and 9.9%, χ(2) = 9.67, P = 0.002; female 12.2% and 5.1%, χ(2) = 5.64, P = 0.018). Male SMI (30.92 ± 2.31 and 31.81 ± 2.17, P < 0.001) and female SMI (25.48 ± 2.14 and 26.34 ± 2.28, P < 0.001) in NAFLD patients were significantly lower than non-NAFLD patients. Multivariate logistic regression analysis showed that sarcopenia was an independent risk factor for NAFLD in male patients with type 2 diabetes mellitus (OR = 2.006, 95% CI: 1.012 ~ 3.976, P = 0.046). There was no correlation between sarcopenia and NAFLD in female patients after adjusting for clinical risk factors. Conclusion: There is an independent correlation between sarcopenia and NAFLD in male patients with type 2 diabetes, and sarcopenia may be an independent risk factor for male patients with NAFLD.
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