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Hyun NP, Olberding JP, De A, Divi S, Liang X, Thomas E, St Pierre R, Steinhardt E, Jorge J, Longo SJ, Cox S, Mendoza E, Sutton GP, Azizi E, Crosby AJ, Bergbreiter S, Wood RJ, Patek SN. Spring and latch dynamics can act as control pathways in ultrafast systems. BIOINSPIRATION & BIOMIMETICS 2023; 18:026002. [PMID: 36595244 DOI: 10.1088/1748-3190/acaa7c] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 12/09/2022] [Indexed: 06/17/2023]
Abstract
Ultrafast movements propelled by springs and released by latches are thought limited to energetic adjustments prior to movement, and seemingly cannot adjust once movement begins. Even so, across the tree of life, ultrafast organisms navigate dynamic environments and generate a range of movements, suggesting unrecognized capabilities for control. We develop a framework of control pathways leveraging the non-linear dynamics of spring-propelled, latch-released systems. We analytically model spring dynamics and develop reduced-parameter models of latch dynamics to quantify how they can be tuned internally or through changing external environments. Using Lagrangian mechanics, we test feedforward and feedback control implementation via spring and latch dynamics. We establish through empirically-informed modeling that ultrafast movement can be controllably varied during latch release and spring propulsion. A deeper understanding of the interconnection between multiple control pathways, and the tunability of each control pathway, in ultrafast biomechanical systems presented here has the potential to expand the capabilities of synthetic ultra-fast systems and provides a new framework to understand the behaviors of fast organisms subject to perturbations and environmental non-idealities.
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Lei Q, Xiao Z, Wu W, Liang X, Zhao Q, Ding D, Deng W. The Joint Effect of Body Mass Index and Serum Lipid Levels on Incident Dementia among Community-Dwelling Older Adults. J Nutr Health Aging 2023; 27:1118-1126. [PMID: 37997734 DOI: 10.1007/s12603-023-2027-5] [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: 07/26/2023] [Accepted: 10/11/2023] [Indexed: 11/25/2023]
Abstract
OBJECTIVES This study aimed to explore the joint effect of body mass index (BMI) and serum lipids levels on incident dementia. METHODS We prospectively followed up with 1,627 dementia-free community residents aged ≥60 for 5.7 years on average. At baseline, weight, and height were measured, and total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) were detected in serum. Demographic characteristics were collected through questionnaires. Dementia was based on consensus diagnosis of neurologists and neuropsychologists using DSM-IV criteria. Additive Cox proportional model was used to assess the exposure-response relationship between BMI and serum lipid levels and dementia risk. Interactions and further classifications of BMI and serum lipid levels were further presented by bivariate surface models and decision-tree models. RESULTS The joint effects of TC with BMI, TG with BMI, and LDL-C with BMI on the risk of incident dementia shared a similar pattern, different from their independent exposure-response curves. The joint effect of HDL-C with BMI showed an S-surface but without statistical significance. Participants with TC<5.4 mmol/L and BMI<21 kg/m2 (Hazard Ratio(HR) 1.93, 95% Confidence Interval (CI) 1.05-3.53), TC<5.4 mmol/L and BMI≥21 kg/m2 (HR 1.73, 95% CI 1.09-2.72), and TC≥5.4 mmol/L and BMI<21 kg/m2 (HR 4.02, 95% CI 2.10-7.71) were identified to have the increased risk of incident dementia compared to those with TC≥5.4 mmol/L and BMI≥21 kg/m2. Participants with TG<1.7 mmol/L and BMI<21 kg/m2 had an increased risk of incident dementia compared to those with TG≥1.7 mmol/L and BMI≥21 kg/m2 (HR 1.98, 95%CI 1.17-3.3). Participants with LDL-C≥3.3 mmol/L and BMI<21 kg/m2 were identified to have an increased risk of incident dementia compared to those with LDL-C≥3.3 mmol/L and BMI≥21 kg/m2 (HR 3.33, 95%CI 1.64-6.78). CONCLUSIONS Our study showed that low BMI combined with low or high levels of serum lipids may increase the risk of dementia among older adults. This finding suggests the potential impacts of these two metabolic indexes on the risk of dementia.
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Zhang H, Li Z, Zheng S, Zheng P, Liang X, Li Y, Bu X, Zou X. Range-aided drift-free cooperative localization and consistent reconstruction of multi-ground robots. IEEE Robot Autom Lett 2023. [DOI: 10.1109/lra.2023.3244721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
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Guo W, Zhao X, Cheng D, Liang X, Miao M, Li X, Lu J, Xu N, Hu S, Zhang Q. Muscle Fat Content Is Associated with Nonalcoholic Fatty Liver Disease and Liver Fibrosis in Chinese Adults. J Nutr Health Aging 2023; 27:960-965. [PMID: 37997716 DOI: 10.1007/s12603-023-2015-9] [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: 08/08/2023] [Accepted: 10/09/2023] [Indexed: 11/25/2023]
Abstract
OBJECTIVES Several studies have linked myosteatosis with nonalcoholic fatty liver disease (NAFLD) in individuals with obesity. The clinical significance of myosteatosis in individuals with NAFLD in the general population has not been well investigated. Here, we wanted to explore and compare the associations of NAFLD and liver fibrosis with muscle fat content and skeletal muscle mass (SMM) in a relatively large general population in China. METHODS We retrospectively included all participants who underwent abdominal CT scans in our health promotion center between April 2021 and October 2021. Muscle fat content was assessed by abdomen quantitative computed tomography (QCT) scans, and SMM was evaluated by bioelectrical impedance. NAFLD was assessed by ultrasonography. The NAFLD fibrosis score (NFS) and Fibrosis-4 Index (FIB-4) score were calculated to assess liver fibrosis. RESULTS Compared with participants without NAFLD, patients with NAFLD showed significantly increased intermuscular adipose tissue (IMAT%) (7.40±3.37% vs. 6.76±2.66%, P <0.01). According to a multiple logistic regression model, IMAT% (OR=1.091, 95% CI 1.030-1.155, P=0.003) was only independently correlated with NAFLD in obese participants. Mediation analysis showed that BMI mediated the association between IMAT% and NAFLD. In participants with NAFLD, increased IMAT% was independently associated with an increased intermediate to high risk of advanced fibrosis assessed by the NFS or FIB-4 score after adjusting for multiple potential confounders. However, SMM was only independently correlated with an intermediate to high risk for advanced fibrosis evaluated by the NFS and not by the FIB-4 score. CONCLUSION Increased muscle fat content is positively correlated with NAFLD and intermediate to high risk for advanced fibrosis in the general Chinese population.
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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, 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, 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 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, 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, Roy D, 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 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. Collision-System and Beam-Energy Dependence of Anisotropic Flow Fluctuations. PHYSICAL REVIEW LETTERS 2022; 129:252301. [PMID: 36608250 DOI: 10.1103/physrevlett.129.252301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 08/17/2022] [Accepted: 11/16/2022] [Indexed: 06/17/2023]
Abstract
Elliptic flow measurements from two-, four-, and six-particle correlations are used to investigate flow fluctuations in collisions of U+U at sqrt[s_{NN}]=193 GeV, Cu+Au at sqrt[s_{NN}]=200 GeV and Au+Au spanning the range sqrt[s_{NN}]=11.5-200 GeV. The measurements show a strong dependence of the flow fluctuations on collision centrality, a modest dependence on system size, and very little if any, dependence on particle species and beam energy. The results, when compared to similar LHC measurements, viscous hydrodynamic calculations, and trento model eccentricities, indicate that initial-state-driven fluctuations predominate the flow fluctuations generated in the collisions studied.
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Liang X, Luo G, Li W, Yao A, Liu W, Xie L, Han M, Li X, Han D. Overexpression of a Malus baccata CBF transcription factor gene, MbCBF1, Increases cold and salinity tolerance in Arabidopsis thaliana. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2022; 192:230-242. [PMID: 36272190 DOI: 10.1016/j.plaphy.2022.10.012] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 09/09/2022] [Accepted: 10/09/2022] [Indexed: 06/16/2023]
Abstract
CBFs play a crucial role when plants are in adverse environmental conditions for growth. However, there are few reports on the role of CBF gene in stress responses of Malus plant. In this experiment, a new CBF TF was separated from M. baccata which was named MbCBF1. MbCBF1 protein was found to be localized in the nucleus after subcellular localization. Furthermore, the expression of MbCBF1 was highly accumulated in new leaves and roots due to the high influence of cold and high salt in M. baccata seedlings. After introducing MbCBF1 into A. thaliana, transgenic A. thaliana can better adapt to the living conditions of cold and high salt. The increased expression of MbCBF1 in A. thaliana also increased the contents of proline, remarkablely improved the activities of SOD, POD and CAT, but the content of MDA was decreased. Although the chlorophyll content also decreased, it decreased less in transgenic plants. In short, above date showed that MbCBF1 has a positive effect on improving A. thaliana cold and high salt tolerance. MbCBF1 can regulate the expression of its downstream gene in transgenic lines, up-regulate the expression of key genes COR15a, RD29a/bandCOR6.6/47 related to low temperature under cold conditions and NCED3, CAT1, P5CS1, RD22, DREB2A,PIF1/4, SOS1 and SnRK2.4 related to salt stress under high salt conditions, so as to further improve the adaptability and tolerance of the transgenic plants to low temperature and high salt environment.
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Liu W, Liang X, Cai W, Wang H, Liu X, Cheng L, Song P, Luo G, Han D. Isolation and Functional Analysis of VvWRKY28, a Vitis vinifera WRKY Transcription Factor Gene, with Functions in Tolerance to Cold and Salt Stress in Transgenic Arabidopsis thaliana. Int J Mol Sci 2022; 23:13418. [PMID: 36362205 PMCID: PMC9658438 DOI: 10.3390/ijms232113418] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/28/2022] [Accepted: 11/01/2022] [Indexed: 08/06/2023] Open
Abstract
The grape (Vitis vinifera L.) not only has a long history of cultivation, but also has rich nutritional value and high economic value. However, grapes often face many threats in the growth process. For example, low temperature and salt stress restrict the growth status, yield, and geographical distribution of grapes. WRKY, as one of the largest transcription factor (TF) families in plants, participates in the response of plants to stress. VvWRKY28, a new zinc finger type transcriptional regulator gene, was isolated from Beichun (V. vinifera × V.amurensis) in this study. From the subcellular localization results, it can be concluded that VvWRKY28 was localized in the nucleus. The expression of VvWRKY28 was enriched in leaves (young and mature leaves), and cold and high salt conditions can induce high expression of VvWRKY28. After being transferred into Arabidopsis, VvWRKY28 greatly improved the tolerance of Arabidopsis to low temperature and high salt and also changed many physiological and biochemical indicators of transgenic Arabidopsis to cope with cold and high salt stimulation. The content of malondialdehyde (MDA) was decreased, but for chlorophyll and proline, their content increased, and the activities of superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT) were improved. In addition, under cold stress, binding with cis-acting elements promotes the expression of downstream genes related to cold stress (RAB18, COR15A, ERD10, PIF4, COR47, and ICS1). Moreover, it also plays an active role in regulating the expression of genes related to salt stress (NCED3, SnRK2.4, CAT2, SOD1, SOS2, and P5CS1) under salt stress. Therefore, these results provide evidence that VvWRKY28 may play a role in the process of plant cold and salt stress tolerance.
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Qiu M, Liang X, Deng S, Li Y, Ke Y, Wang P, Mei H. A unified GCNN model for predicting CYP450 inhibitors by using graph convolutional neural networks with attention mechanism. Comput Biol Med 2022; 150:106177. [PMID: 36242811 DOI: 10.1016/j.compbiomed.2022.106177] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 09/19/2022] [Accepted: 10/01/2022] [Indexed: 11/17/2022]
Abstract
Undesirable drug-drug interactions (DDIs) may lead to serious adverse side effects when more than two drugs are administered to a patient simultaneously. One of the most common DDIs is caused by unexpected inhibition of a specific human cytochrome P450 (CYP450), which plays a dominant role in the metabolism of the co-administered drugs. Therefore, a unified and reliable method for predicting the potential inhibitors of CYP450 family is extremely important in drug development. In this work, graph convolutional neural network (GCN) with attention mechanism and 1-D convolutional neural network (CNN) were used to extract the features of CYP ligands and the binding sites of CYP450 respectively, which were then combined to establish a unified GCN-CNN (GCNN) model for predicting the inhibitors of 5 dominant CYP isoforms, i.e., 1A2, 2C9, 2C19, 2D6, and 3A4. Overall, the established GCNN model showed good performances on the test samples and achieved better performances than the recently proposed iCYP-MFE model by using the same datasets. Based on the heat-map analysis of the resulting molecular graphs, the key structural determinants of the CYP inhibitors were further explored.
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Liang X, Chun J, Morgan H, Bai T, Nguyen D, Park J, Jiang S. Evaluating a Personalized Deep-Learning-Based Auto-Segmentation Method for CBCT-Based Adaptive Radiotherapy. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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Zhao H, Meng B, Dohopolski M, Choi B, Liang X, Bai T, Nguyen D, Cai B, Lin M, Jiang S. Segmentation of Targets and Organs at Risk for CBCT-Based Online Adaptive Radiotherapy Using Recurrent Neural Networks: A Clinical Evaluation. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2197] [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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Wang LL, Liang X, Jia KJ, He YP. [Study on the relationship between the pathological type of lung cancer caused by coke oven discharge and the contact type and exposure time]. ZHONGHUA LAO DONG WEI SHENG ZHI YE BING ZA ZHI = ZHONGHUA LAODONG WEISHENG ZHIYEBING ZAZHI = CHINESE JOURNAL OF INDUSTRIAL HYGIENE AND OCCUPATIONAL DISEASES 2022; 40:761-764. [PMID: 36348558 DOI: 10.3760/cma.j.cn121094-20211229-00638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To study the pathological types of lung cancer caused by coke oven emissions and analyze the correlation between different exposure levels. Methods: In October 2020, the relevant data of 86 confirmed cases of lung cancer caused by coke oven emissions (including basic information of patients, relevant occupational exposure and clinical data) were collected, The workers were grouped according to the different COEs concentrations in their posts: workers in auxiliary posts were taken as the low exposure group (11 persons) , The workers at coke side and furnace bottom are the medium exposure group (14 persons) , and the workers at furnace top are the high exposure group (61 persons) , and the correlation between pathological types of lung cancer and different exposure levels was analyzed. Results: There was no significant difference in age and length of service among the groups (P>0.05) ; The number of lung cancer cases and pathological types among workers in each group were statistically significant (P=0.044) . After adjusting for interference factors, the number of undifferentiated cancers (mainly small cell lung cancer) increased with the increase of exposure level, with a statistically significant difference (P=0.001) . The incidence of lung cancer increased gradually with the length of service, and the incidence rate of lung cancer among workers of different working ages was statistically significant (P<0.05) . Conclusion: Undifferentiated small cell carcinoma is the most common pathological type of lung cancer caused by coke oven emissions, and the incidence of lung cancer tends to increase with the length of service.
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Chou OHI, Liang X, Cheung BMY. The effects of human papillomavirus vaccination on cardiovascular diseases. The United States National Health and Nutrition Examination Survey. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2494] [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: 11/15/2022] Open
Abstract
Abstract
Aims
We investigated the association between HPV and CVDs in women with and without HPV vaccination.
Methods and results
We studied 9353 women aged between 18 to 59 years old who were tested for vaginal HPV DNA in the National Health and Nutrition Examination Survey (NHANES) 2003–2016. The CVDs were defined as the self-reported coronary heart diseases, heart attack, angina pectoris and stroke. The HPV vaccination status was extracted from the NHANES 2007–2016 database. The association between HPV and CVDs was studied using logistic regression, with adjustment for the potential confounders.
Among the participants, 40.8% (95% CI, 39.4–42.4) were HPV DNA positive, and 3.0% (95% CI, 2.6–3.5) had CVDs. 9.0% (95% CI, 8.0–10.0) of women received the HPV vaccine. The presence of vaginal HPV infection was associated with CVD [OR=1.66, 95% CI (1.28–2.16), P<0.01], which remained significant [OR=1.53, (95% CI 1.13–2.07), P<0.01] after adjustment for sociodemographic characteristics, smoking, alcohol use, number of sexual partners, cervical cancer, BMI, hypertension, diabetes, and hyperlipidemia. Women younger than 38 years old showed a stronger association between HPV and CVDs [OR=2.15, 95% CI (1.01–4.77), P<0.01]. The association was absent among those who wereHPV vaccinated [OR= 0.44, 95% CI (0.07–2.79), P=0.83], but only present among those who were not [OR=1.60, 95% CI (1.15–2.24), P<0.01].
Conclusions
In this large nationally representative survey, HPV infection was associated with CVDs. The association was absent in women vaccinated against HPV. Our findings regarding early HPV vaccinations may pave the way for new strategies for CVD prevention.
Funding Acknowledgement
Type of funding sources: None.
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Zheng S, Li Z, Liu Y, Zhang H, Zheng P, Liang X, Li Y, Bu X, Zou X. UWB-VIO Fusion for Accurate and Robust Relative Localization of Round Robotic Teams. IEEE Robot Autom Lett 2022. [DOI: 10.1109/lra.2022.3208354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Liang X, Hou TP, Zhang D, Luo WD, Cheng S, Zheng YH, Wu KM. New evaluation of the thermodynamics stability for bcc-Fe. JOURNAL OF PHYSICS. CONDENSED MATTER : AN INSTITUTE OF PHYSICS JOURNAL 2022; 34:455801. [PMID: 36007519 DOI: 10.1088/1361-648x/ac8cc6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 08/25/2022] [Indexed: 06/15/2023]
Abstract
The thermodynamic properties for bcc-Fe were predicted by combination of the first-principles calculations, the quasiharmonic approximation, the CALPHAD method and the Weiss molecular field theory. The hybrid method considers the effects of the lattice vibration, electron, intrinsic magnetism and external magnetic fields on the thermodynamic properties at finite temperature. Combined with experimental data, the calculated heat capacity without external magnetic fields was used to verify the validity of the hybrid method. Close to the Fermi level the high electronic density of states leads to a significant electronic contribution to free energy. Near the Curie temperature lattice vibrations dominant the Gibbs free energy. The order of the other three excitation contributions to Gibbs free energy from high to low is: intrinsic magnetism > electron > external magnetic fields. The investigation suggests that all the excitation contributions to Gibbs free energy are not negligible which provides a correct direction for tuning the thermodynamic properties for Fe-based alloy.
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Bai X, Chen Y, Zhang X, Zhang F, Liang X, Zhang C, Wang X, Lu B, Yu S, Liang T. 712P CAPT: A multicenter randomized controlled trial of perioperative versus postoperative camrelizumab plus apatinib for resectable hepatocellular carcinoma. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.836] [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] Open
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Liu Y, Chen D, Wang M, Ma Y, Liang X, Wang X, Hu X. EP08.01-054 ICIs combined with Single-agent Chemotherapy in Two or More Lines Treatment for Advanced Non-Small Cell Lung Cancer. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Li X, Liang X, Li W, Yao A, Liu W, Wang Y, Yang G, Han D. Isolation and Functional Analysis of MbCBF2, a Malus baccata (L.) Borkh CBF Transcription Factor Gene, with Functions in Tolerance to Cold and Salt Stress in Transgenic Arabidopsis thaliana. Int J Mol Sci 2022; 23:ijms23179827. [PMID: 36077223 PMCID: PMC9456559 DOI: 10.3390/ijms23179827] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 08/25/2022] [Accepted: 08/26/2022] [Indexed: 11/16/2022] Open
Abstract
CBF transcription factors (TFs) are key regulators of plant stress tolerance and play an integral role in plant tolerance to adverse growth environments. However, in the current research situation, there are few reports on the response of the CBF gene to Begonia stress. Therefore, this experiment investigated a novel CBF TF gene, named MbCBF2, which was isolated from M. baccata seedlings. According to the subcellular localization results, the MbCBF2 protein was located in the nucleus. In addition, the expression level of MbCBF2 was higher in new leaves and roots under low-temperature and high-salt induction. After the introduction of MbCBF2 into Arabidopsis thaliana, the adaptability of transgenic A. thaliana to cold and high-salt environments was significantly enhanced. In addition, the high expression of MbCBF2 can also change many physiological indicators in transgenic A. thaliana, such as increased chlorophyll and proline content, superoxide dismutase (SOD), peroxidase (POD) and catalase (CAT) activity, and reduced malondialdehyde (MDA) content. Therefore, it can be seen from the above results that MbCBF2 can positively regulate the response of A. thaliana to low-temperature and osmotic stress. In addition, MbCBF2 can also regulate the expression of its downstream genes in transgenic lines. It can not only positively regulate the expression of the downstream key genes AtCOR15a, AtERD10, AtRD29a/b and AtCOR6.6/47, related to cold stress at low temperatures, but can also positively regulate the expression of the downstream key genes AtNCED3, AtCAT1, AtP5CS, AtPIF1/4 and AtSnRK2.4, related to salt stress. That is, the overexpression of the MbCBF2 gene further improved the adaptability and tolerance of transgenic plants to low-temperature and high-salt environments.
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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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Aaij R, Abdelmotteleb ASW, Abellán Beteta C, Abudinén F, Ackernley T, Adeva B, Adinolfi M, Afsharnia H, Agapopoulou C, Aidala CA, Aiola S, Ajaltouni Z, Akar S, Albrecht J, Alessio F, Alexander M, Alfonso Albero A, Aliouche Z, Alkhazov G, Alvarez Cartelle P, Amato S, Amey JL, Amhis Y, An L, Anderlini L, Andersson M, Andreianov A, Andreotti M, Andreou D, Ao D, Archilli F, Artamonov A, Artuso M, Arzymatov K, Aslanides E, Atzeni M, Audurier B, Bachmann S, Bachmayer M, Back JJ, Baladron Rodriguez P, Balagura V, Baldini W, Baptista de Souza Leite J, Barbetti M, Barlow RJ, Barsuk S, Barter W, Bartolini M, Baryshnikov F, Basels JM, Bassi G, Batsukh B, Battig A, Bay A, Beck A, Becker M, Bedeschi F, Bediaga I, Beiter A, Belavin V, Belin S, Bellee V, Belous K, Belov I, Belyaev I, Bencivenni G, Ben-Haim E, Berezhnoy A, Bernet R, Berninghoff D, Bernstein HC, Bertella C, Bertolin A, Betancourt C, Betti F, Bezshyiko I, Bhasin S, Bhom J, Bian L, Bieker MS, Biesuz NV, Bifani S, Billoir P, Biolchini A, Birch M, Bishop FCR, Bitadze A, Bizzeti A, Bjørn M, Blago MP, Blake T, Blanc F, Blusk S, Bobulska D, Boelhauve JA, Boente Garcia O, Boettcher T, Boldyrev A, Bondar A, Bondar N, Borghi S, Borisyak M, Borsato M, Borsuk JT, Bouchiba SA, Bowcock TJV, Boyer A, Bozzi C, Bradley MJ, Braun S, Brea Rodriguez A, Brodzicka J, Brossa Gonzalo A, Brundu D, Buonaura A, Buonincontri L, Burke AT, Burr C, Bursche A, Butkevich A, Butter JS, Buytaert J, Byczynski W, Cadeddu S, Cai H, Calabrese R, Calefice L, Cali S, Calladine R, Calvi M, Calvo Gomez M, Camargo Magalhaes P, Campana P, Campora Perez DH, Campoverde Quezada AF, Capelli S, Capriotti L, Carbone A, Carboni G, Cardinale R, Cardini A, Carli I, Carniti P, Carus L, Carvalho Akiba K, Casais Vidal A, Caspary R, Casse G, Cattaneo M, Cavallero G, Celani S, Cerasoli J, Cervenkov D, Chadwick AJ, Chapman MG, Charles M, Charpentier P, Chavez Barajas CA, Chefdeville M, Chen C, Chen S, Chernov A, Chernyshenko S, Chobanova V, Cholak S, Chrzaszcz M, Chubykin A, Chulikov V, Ciambrone P, Cicala MF, Cid Vidal X, Ciezarek G, Clarke PEL, Clemencic M, Cliff HV, Closier J, Cobbledick JL, Coco V, Coelho JAB, Cogan J, Cogneras E, Cojocariu L, Collins P, Colombo T, Congedo L, Contu A, Cooke N, Coombs G, Corredoira I, Corti G, Costa Sobral CM, Couturier B, Craik DC, Crkovská J, Cruz Torres M, Currie R, Da Silva CL, Dadabaev S, Dai L, Dall'Occo E, Dalseno J, D'Ambrosio C, Danilina A, d'Argent P, Dashkina A, Davies JE, Davis A, De Aguiar Francisco O, De Boer J, De Bruyn K, De Capua S, De Cian M, De Freitas Carneiro Da Graca U, De Lucia E, De Miranda JM, De Paula L, De Serio M, De Simone D, De Simone P, De Vellis F, de Vries JA, Dean CT, Debernardis F, Decamp D, Dedu V, Del Buono L, Delaney B, Dembinski HP, Denysenko V, Derkach D, Deschamps O, Dettori F, Dey B, Di Cicco A, Di Nezza P, Didenko S, Dieste Maronas L, Dijkstra H, Ding S, Dobishuk V, Dong C, Donohoe AM, Dordei F, Dos Reis AC, Douglas L, Dovbnya A, Downes AG, Dudek MW, Dufour L, Duk V, Durante P, Durham JM, Dutta D, Dziurda A, Dzyuba A, Easo S, Egede U, Egorychev V, Eidelman S, Eisenhardt S, Ek-In S, Eklund L, Ely S, Ene A, Epple E, Escher S, Eschle J, Esen S, Evans T, Falcao LN, Fan Y, Fang B, Farry S, Fazzini D, Féo M, Fernandez Prieto A, Fernez AD, Ferrari F, Ferreira Lopes L, Ferreira Rodrigues F, Ferreres Sole S, Ferrillo M, Ferro-Luzzi M, Filippov S, Fini RA, Fiorini M, Firlej M, Fischer KM, Fitzgerald DS, Fitzpatrick C, Fiutowski T, Fkiaras A, Fleuret F, Fontana M, Fontanelli F, Forty R, Foulds-Holt D, Franco Lima V, Franco Sevilla M, Frank M, Franzoso E, Frau G, Frei C, Friday DA, Fu J, Fuehring Q, Gabriel E, Galati G, Gallas Torreira A, Galli D, Gambetta S, Gan Y, Gandelman M, Gandini P, Gao Y, Garau M, Garcia Martin LM, Garcia Moreno P, García Pardiñas J, Garcia Plana B, Garcia Rosales FA, Garrido L, Gaspar C, Geertsema RE, Gerick D, Gerken LL, Gersabeck E, Gersabeck M, Gershon T, Gerstel D, Giambastiani L, Gibson V, Giemza HK, Gilman AL, Giovannetti M, Gioventù A, Gironella Gironell P, Giugliano C, Giza MA, Gizdov K, Gkougkousis EL, Gligorov VV, Göbel C, Golobardes E, Golubkov D, Golutvin A, Gomes A, Gomez Fernandez S, Goncalves Abrantes F, Goncerz M, Gong G, Gorbounov P, Gorelov IV, Gotti C, Grabowski JP, Grammatico T, Granado Cardoso LA, Graugés E, Graverini E, Graziani G, Grecu A, Greeven LM, Grieser NA, Grillo L, Gromov S, Gruberg Cazon BR, Gu C, Guarise M, Guittiere M, Günther PA, Gushchin E, Guth A, Guz Y, Gys T, Hadavizadeh T, Haefeli G, Haen C, Haimberger J, Haines SC, Halewood-Leagas T, Halvorsen MM, Hamilton PM, Hammerich JP, Han Q, Han X, Hansen EB, Hansmann-Menzemer S, Harnew N, Harrison T, Hasse C, Hatch M, He J, Hecker M, Heijhoff K, Heinicke K, Henderson RDL, Hennequin AM, Hennessy K, Henry L, Heuel J, Hicheur A, Hill D, Hilton M, Hollitt SE, Hou R, Hou Y, Hu J, Hu J, Hu W, Hu X, Huang W, Huang X, Hulsbergen W, Hunter RJ, Hushchyn M, Hutchcroft D, Hynds D, Ibis P, Idzik M, Ilin D, Ilten P, Inglessi A, Iniukhin A, Ishteev A, Ivshin K, Jacobsson R, Jage H, Jakobsen S, Jans E, Jashal BK, Jawahery A, Jevtic V, Jiang X, John M, Johnson D, Jones CR, Jones TP, Jost B, Jurik N, Juszczak I, Kandybei S, Kang Y, Karacson M, Karpenkov D, Karpov M, Kautz JW, Keizer F, Keller DM, Kenzie M, Ketel T, Khanji B, Kharisova A, Kholodenko S, Kirn T, Kirsebom VS, Kitouni O, Klaver S, Kleijne N, Klimaszewski K, Kmiec MR, Koliiev S, Kondybayeva A, Konoplyannikov A, Kopciewicz P, Kopecna R, Koppenburg P, Korolev M, Kostiuk I, Kot O, Kotriakhova S, Kozachuk A, Kravchenko P, Kravchuk L, Krawczyk RD, Kreps M, Kretzschmar S, Krokovny P, Krupa W, Krzemien W, Kubat J, Kucewicz W, Kucharczyk M, Kudryavtsev V, Kuindersma HS, Kunde GJ, Kvaratskheliya T, Lacarrere D, Lafferty G, Lai A, Lampis A, Lancierini D, Lane JJ, Lane R, Lanfranchi G, Langenbruch C, Langer J, Lantwin O, Latham T, Lazzari F, Le Gac R, Lee SH, Lefèvre R, Leflat A, Legotin S, Leroy O, Lesiak T, Leverington B, Li H, Li K, Li P, Li S, Li Y, Li Z, Liang X, Lin C, Lin T, Lindner R, Lisovskyi V, Litvinov R, Liu G, Liu H, Liu Q, Liu S, Lobo Salvia A, Loi A, Lollini R, Lomba Castro J, Longstaff I, Lopes JH, López Soliño S, Lovell GH, Lu Y, Lucarelli C, Lucchesi D, Luchuk S, Lucio Martinez M, Lukashenko V, Luo Y, Lupato A, Luppi E, Lupton O, Lusiani A, Lyu X, Ma L, Ma R, Maccolini S, Machefert F, Maciuc F, Macko V, Mackowiak P, Maddrell-Mander S, Madhan Mohan LR, Maev O, Maevskiy A, Maisuzenko D, Majewski MW, Malczewski JJ, Malde S, Malecki B, Malinin A, Maltsev T, Malygina H, Manca G, Mancinelli G, Manuzzi D, Manzari CA, Marangotto D, Maratas J, Marchand JF, Marconi U, Mariani S, Marin Benito C, Marinangeli M, Marks J, Marshall AM, Marshall PJ, Martelli G, Martellotti G, Martinazzoli L, Martinelli M, Martinez Santos D, Martinez Vidal F, Massafferri A, Materok M, Matev R, Mathad A, Matiunin V, Matteuzzi C, Mattioli KR, Mauri A, Maurice E, Mauricio J, Mazurek M, McCann M, Mcconnell L, Mcgrath TH, Mchugh NT, McNab A, McNulty R, Mead JV, Meadows B, Meier G, Melnychuk D, Meloni S, Merk M, Merli A, Meyer Garcia L, Mikhasenko M, Milanes DA, Millard E, Milovanovic M, Minard MN, Minotti A, Mitchell SE, Mitreska B, Mitzel DS, Mödden A, Mohammed RA, Moise RD, Mokhnenko S, Mombächer T, Monroy IA, Monteil S, Morandin M, Morello G, Morello MJ, Moron J, Morris AB, Morris AG, Mountain R, Mu H, Muheim F, Mulder M, Müller K, Murphy CH, Murray D, Murta R, Muzzetto P, Naik P, Nakada T, Nandakumar R, Nanut T, Nasteva I, Needham M, Neri N, Neubert S, Neufeld N, Newcombe R, Niel EM, Nieswand S, Nikitin N, Nolte NS, Normand C, Nunez C, Oblakowska-Mucha A, Obraztsov V, Oeser T, O'Hanlon DP, Okamura S, Oldeman R, Oliva F, Olivares ME, Onderwater CJG, O'Neil RH, Otalora Goicochea JM, Ovsiannikova T, Owen P, Oyanguren A, Ozcelik O, Padeken KO, Pagare B, Pais PR, Pajero T, Palano A, Palutan M, Pan Y, Panshin G, Papanestis A, Pappagallo M, Pappalardo LL, Pappenheimer C, Parker W, Parkes C, Passalacqua B, Passaleva G, Pastore A, Patel M, Patrignani C, Pawley CJ, Pearce A, Pellegrino A, Pepe Altarelli M, Perazzini S, Pereima D, Pereiro Castro A, Perret P, Petric M, Petridis K, Petrolini A, Petrov A, Petrucci S, Petruzzo M, Pham TTH, Philippov A, Piandani R, Pica L, Piccini M, Pietrzyk B, Pietrzyk G, Pili M, Pinci D, Pisani F, Pizzichemi M, Placinta V, Plews J, Plo Casasus M, Polci F, Poli Lener M, Poliakova M, Poluektov A, Polukhina N, Polyakov I, Polycarpo E, Ponce S, Popov D, Popov S, Poslavskii S, Prasanth K, Promberger L, Prouve C, Pugatch V, Puill V, Punzi G, Qi H, Qian W, Qin N, Qu S, Quagliani R, Raab NV, Rabadan Trejo RI, Rachwal B, Rademacker JH, Rajagopalan R, Rama M, Ramos Pernas M, Rangel MS, Ratnikov F, Raven G, Rebollo De Miguel M, Reboud M, Redi F, Reiss F, Remon Alepuz C, Ren Z, Renaudin V, Resmi PK, Ribatti R, Ricci AM, Ricciardi S, Rinnert K, Robbe P, Robertson G, Rodrigues AB, Rodrigues E, Rodriguez Lopez JA, Rodriguez Rodriguez ERR, Rollings A, Roloff P, Romanovskiy V, Romero Lamas M, Romero Vidal A, Rosello M, Roth JD, Rotondo M, Rudolph MS, Ruf T, Ruiz Fernandez RA, Ruiz Vidal J, Ryzhikov A, Ryzka J, Saborido Silva JJ, Sagidova N, Sahoo N, Saitta B, Salomoni M, Sanchez Gras C, Sanderswood I, Santacesaria R, Santamarina Rios C, Santimaria M, Santovetti E, Saranin D, Sarpis G, Sarpis M, Sarti A, Satriano C, Satta A, Saur M, Savrina D, Sazak H, Scantlebury Smead LG, Scarabotto A, Schael S, Scherl S, Schiller M, Schindler H, Schmelling M, Schmidt B, Schmitt S, Schneider O, Schopper A, Schubiger M, Schulte S, Schune MH, Schwemmer R, Sciascia B, Sciuccati A, Sellam S, Semennikov A, Senghi Soares M, Sergi A, Serra N, Sestini L, Seuthe A, Shang Y, Shangase DM, Shapkin M, Shchemerov I, Shchutska L, Shears T, Shekhtman L, Shen Z, Sheng S, Shevchenko V, Shields EB, Shimizu Y, Shmanin E, Shupperd JD, Siddi BG, Silva Coutinho R, Simi G, Simone S, Singla M, Skidmore N, Skuza R, Skwarnicki T, Slater MW, Slazyk I, Smallwood JC, Smeaton JG, Smith E, Smith M, Snoch A, Soares Lavra L, Sokoloff MD, Soler FJP, Solomin A, Solovev A, Solovyev I, Souza De Almeida FL, Souza De Paula B, Spaan B, Spadaro Norella E, Spradlin P, Sriskaran V, Stagni F, Stahl M, Stahl S, Stanislaus S, Steinkamp O, Stenyakin O, Stevens H, Stone S, Strekalina D, Suljik F, Sun J, Sun L, Sun Y, Svihra P, Swallow PN, Swientek K, Szabelski A, Szumlak T, Szymanski M, Taneja S, Tanner AR, Tat MD, Terentev A, Teubert F, Thomas E, Thompson DJD, Thomson KA, Tilquin H, Tisserand V, T'Jampens S, Tobin M, Tomassetti L, Tong X, Torres Machado D, Tou DY, Trifonova E, Trilov SM, Trippl C, Tuci G, Tully A, Tuning N, Ukleja A, Unverzagt DJ, Ursov E, Usachov A, Ustyuzhanin A, Uwer U, Vagner A, Vagnoni V, Valassi A, Valenti G, Valls Canudas N, van Beuzekom M, Van Dijk M, Van Hecke H, van Herwijnen E, van Veghel M, Vazquez Gomez R, Vazquez Regueiro P, Vázquez Sierra C, Vecchi S, Velthuis JJ, Veltri M, Venkateswaran A, Veronesi M, Vesterinen M, Vieira D, Vieites Diaz M, Viemann H, Vilasis-Cardona X, Vilella Figueras E, Villa A, Vincent P, Volle FC, Vom Bruch D, Vorobyev A, Vorobyev V, Voropaev N, Vos K, Waldi R, Walsh J, Wang C, Wang J, Wang J, Wang J, Wang J, Wang M, Wang R, Wang Y, Wang Z, Wang Z, Wang Z, Ward JA, Watson NK, Websdale D, Weisser C, Westhenry BDC, White DJ, Whitehead M, Wiederhold AR, Wiedner D, Wilkinson G, Wilkinson MK, Williams I, Williams M, Williams MRJ, Williams R, Wilson FF, Wislicki W, Witek M, Witola L, Wong CP, Wormser G, Wotton SA, Wu H, Wyllie K, Xiang Z, Xiao D, Xie Y, Xu A, Xu J, Xu L, Xu M, Xu Q, Xu Z, Xu Z, Yang D, Yang S, Yang Y, Yang Z, Yang Z, Yao Y, Yeomans LE, Yin H, Yu J, Yuan X, Yushchenko O, Zaffaroni E, Zavertyaev M, Zdybal M, Zenaiev O, Zeng M, Zhang D, Zhang L, Zhang S, Zhang S, Zhang Y, Zhang Y, Zharkova A, Zhelezov A, Zheng Y, Zhou T, Zhou X, Zhou Y, Zhovkovska V, Zhu X, Zhu X, Zhu Z, Zhukov V, Zou Q, Zucchelli S, Zuliani D, Zunica G. First Measurement of the Z→μ^{+}μ^{-} Angular Coefficients in the Forward Region of pp Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2022; 129:091801. [PMID: 36083649 DOI: 10.1103/physrevlett.129.091801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 07/13/2022] [Indexed: 06/15/2023]
Abstract
The first study of the angular distribution of μ^{+}μ^{-} pairs produced in the forward rapidity region via the Drell-Yan reaction pp→γ^{*}/Z+X→ℓ^{+}ℓ^{-}+X is presented, using data collected with the LHCb detector at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 5.1 fb^{-1}. The coefficients of the five leading terms in the angular distribution are determined as a function of the dimuon transverse momentum and rapidity. The results are compared to various theoretical predictions of the Z-boson production mechanism and can also be used to probe transverse-momentum-dependent parton distributions within the proton.
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Liang X, Guan F, Hu ZQ, Li B, Li YK, Jing B, Huang H, Zhu GT, Mao BB. [The related factors of postoperative recurrence in trigeminalneuralgia patients undergoing fully neuroendoscopic microvascular decompression]. ZHONGHUA YI XUE ZA ZHI 2022; 102:2465-2469. [PMID: 36000377 DOI: 10.3760/cma.j.cn112137-20211218-02820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To evaluate the related factors of postoperative recurrence intrigeminal neuralgia (TN) patients treated with fully neuroendoscopic microvascular decompression (MVD). Methods: The clinical baseline data and preoperative MRI imaging data of 112 patients with TN treated by neuroendoscopic MVD from December 2008 to December 2020 in the Department of Neurosurgery, Beijing Shijitan Hospital Affiliated to Capital Medical University were retrospectively analyzed, including: area ratio of cerebellopontine area (CPA)(healthy side/affected side), trigeminal nerve(TGN)length ratio(healthy side/affected side), TGN angle ratio(healthy side/affected side), and criminal vessel type. Multivariate Cox proportional hazards model was used to analyze the factors affecting postoperative recurrence. Results: Among the 112 patients in this group, there were 49 males and 63 females. The age ranged from 20 to 82 (59±9) years, and the course of disease was 0.05 to 30.00 (5.60±5.15) years. Pain was located on the left side in 43 cases (38.39%) and on the right side in 69 cases (61.61%), respectively. All patients were followed up for more than 1 year, with an average follow-up time of 21.5 months, and 11 cases recurred. Multivariate Cox regression analysis revealed that disease duration≥3 years(HR=9.34, 95%CI:1.12-39.07), CPA area ratio(healthy side/affected side)>1 (HR=27.47, 95%CI:1.69-44.20), criminal vessel type with vein(HR=35.39, 95%CI:1.26-18.60) and criminal vessel type with arteriovenous (HR=46.07, 95%CI: 2.74-27.75) were the main factors influencing recurrence of MVD surgery (all P<0.05). Conclusion: The disease duration≥3 years, CPA area ratio(healthy side/affected side)>1, and criminal vessel type with vein/arteriovenous are the relevant factors that affect the recurrence rate after the fully neuroendoscopic MVD treatment for trigeminal neuralgia.
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Scheri KC, Liang X, Dalal V, Le Poole I, Varga J, Hayashida T. 785 Finding new therapeutical strategies for systemic sclerosis: SARA as a novel key molecule in myofibroblast transdifferentiation during fibrogenesis. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Liang X, Li Y, Yao A, Liu W, Yang T, Zhao M, Zhang B, Han D. Overexpression of MxbHLH18 Increased Iron and High Salinity Stress Tolerance in Arabidopsis thaliana. Int J Mol Sci 2022; 23:ijms23148007. [PMID: 35887354 PMCID: PMC9319408 DOI: 10.3390/ijms23148007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 07/16/2022] [Accepted: 07/19/2022] [Indexed: 01/21/2023] Open
Abstract
In the life cycle of apple, it will suffer a variety of abiotic stresses, such as iron stress and salt stress. bHLH transcription factors (TFs) play an indispensable role in the response of plants to stress. In this study, a new bHLH gene named MxbHLH18 was separated from Malus xiaojinensis. According to the results of subcellular localization, MxbHLH18 was localized in the nucleus. Salt stress and iron stress affected the expression of MxbHLH18 in Malus xiaojinensis seedlings to a large extent. Due to the introduction of MxbHLH18, the resistance of Arabidopsis thaliana to salt, high iron and low iron was significantly enhanced. Under the environmental conditions of high iron and low iron, the overexpression of MxbHLH18 increased many physiological indexes of transgenic Arabidopsis compared to wild type (WT), such as root length, fresh weight and iron content. The high level expression of MxbHLH18 in transformed Arabidopsis thaliana can not only increased the content of chlorophyll and proline, as well as increasing the activities of superoxide dismutase (SOD), peroxidase (POD) and catalase (CAT); it also reduced the content of malondialdehyde (MDA), which was more obvious under high salt conditions. In addition, the relative conductivity, H2O2 content and O2− content in transgenic Arabidopsis decreased under salt stress. Meanwhile, MxbHLH18 can also regulate the expression of downstream genes associated with salt stress (AtCBF1/2/3, AtKIN1 and AtCOR15a/b) and iron stress (AtIRT1, AtFRO2, AtNAS2, ATACT2, AtZIF1 and AtOPT3). Therefore, MxbHLH18 can actively promote the adaptability of plants to the growth environment of salt and low and/or iron.
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Liang X, Shi S, Gao T. Preoperative gadoxetic acid-enhanced MRI predicts aggressive pathological features in LI-RADS category 5 hepatocellular carcinoma. Clin Radiol 2022; 77:708-716. [PMID: 35738938 DOI: 10.1016/j.crad.2022.05.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 03/30/2022] [Accepted: 05/19/2022] [Indexed: 11/09/2022]
Abstract
AIM To investigate whether Liver Imaging Reporting and Data System (LI-RADS) imaging features and non-LI-RADS imaging features can predict aggressive pathological features in adult patients with hepatocellular carcinoma (HCC). MATERIALS AND METHODS From February 2018 to September 2021, 236 adult patients with cirrhosis or hepatitis B virus infection in which liver cancer was suspected underwent MRI within 1 month before surgery. Significant MRI findings and alpha-fetoprotein (AFP) level predicted high-grade HCC and microvascular invasion (MVI) by univariate and multivariate logistic regression models. RESULTS The study included 112 patients with histopathologically confirmed liver cancer (≤5 cm), 35 of whom (31.3%) high-grade HCC and 42 of 112 (37.5%) patients had MVI. Mosaic architecture (odds ratio [OR] = 6.031; 95% confidence interval [CI]: 1.366, 26.626; p=0.018), coronal enhancement (OR=5.878; 95% CI: 1.471, 23.489; p=0.012), and intratumoural vessels (OR=5.278; 95% CI: 1.325, 21.020; p=0.018) were significant independent predictors of high-grade HCC. A non-smooth tumour margin (OR=10.237; 95% CI: 1.547, 67.760; p=0.016), coronal enhancement (OR=3.800; 95% CI: 1.152, 12.531; p=0.028), and peritumoural hypointensity on the hepatobiliary phase (HBP; OR=10.322; 95% CI: 2.733, 38.986; p=0.001) were significant independent predictors of MVI. CONCLUSION In high-risk adult patients with single LR-5 HCC (≤5 cm), mosaic architecture, coronal enhancement, and intratumoural vessels are independent predictors of high-grade HCC. Non-smooth tumour margin, coronal enhancement, and peritumoural hypointensity on HBP independently predicted MVI.
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Aaij R, Abdelmotteleb ASW, Beteta CA, Gallego FJA, Ackernley T, Adeva B, Adinolfi M, Afsharnia H, Agapopoulou C, Aidala CA, Aiola S, Ajaltouni Z, Akar S, Albrecht J, Alessio F, Alexander M, Albero AA, Aliouche Z, Alkhazov G, Cartelle PA, Amato S, Amey JL, Amhis Y, An L, Anderlini L, Andreianov A, Andreotti M, Archilli F, Artamonov A, Artuso M, Arzymatov K, Aslanides E, Atzeni M, Audurier B, Bachmann S, Bachmayer M, Back JJ, Rodriguez PB, Balagura V, Baldini W, Leite JB, Barbetti M, Barlow RJ, Barsuk S, Barter W, Bartolini M, Baryshnikov F, Basels JM, Bashir S, Bassi G, Batsukh B, Battig A, Bay A, Beck A, Becker M, Bedeschi F, Bediaga I, Beiter A, Belavin V, Belin S, Bellee V, Belous K, Belov I, Belyaev I, Bencivenni G, Ben-Haim E, Berezhnoy A, Bernet R, Berninghoff D, Bernstein HC, Bertella C, Bertolin A, Betancourt C, Betti F, Bezshyiko I, Bhasin S, Bhom J, Bian L, Bieker MS, Bifani S, Billoir P, Birch M, Bishop FCR, Bitadze A, Bizzeti A, Bjørn M, Blago MP, Blake T, Blanc F, Blusk S, Bobulska D, Boelhauve JA, Garcia OB, Boettcher T, Boldyrev A, Bondar A, Bondar N, Borghi S, Borisyak M, Borsato M, Borsuk JT, Bouchiba SA, Bowcock TJV, Boyer A, Bozzi C, Bradley MJ, Braun S, Rodriguez AB, Brodzicka J, Gonzalo AB, Brundu D, Buonaura A, Buonincontri L, Burke AT, Burr C, Bursche A, Butkevich A, Butter JS, Buytaert J, Byczynski W, Cadeddu S, Cai H, Calabrese R, Calefice L, Diaz LC, Cali S, Calladine R, Calvi M, Gomez MC, Magalhaes PC, Campana P, Quezada AFC, Capelli S, Capriotti L, Carbone A, Carboni G, Cardinale R, Cardini A, Carli I, Carniti P, Carus L, Akiba KC, Vidal AC, Casse G, Cattaneo M, Cavallero G, Celani S, Cerasoli J, Cervenkov D, Chadwick AJ, Chapman MG, Charles M, Charpentier P, Chatzikonstantinidis G, Barajas CAC, Chefdeville M, Chen C, Chen S, Chernov A, Chobanova V, Cholak S, Chrzaszcz M, Chubykin A, Chulikov V, Ciambrone P, Cicala MF, Vidal XC, Ciezarek G, Clarke PEL, Clemencic M, Cliff HV, Closier J, Cobbledick JL, Coco V, Coelho JAB, Cogan J, Cogneras E, Cojocariu L, Collins P, Colombo T, Congedo L, Contu A, Cooke N, Coombs G, Corredoira I, Corti G, Sobral CMC, Couturier B, Craik DC, Crkovská J, Torres MC, Currie R, Silva CLD, Dadabaev S, Dai L, Dall’Occo E, Dalseno J, D’Ambrosio C, Danilina A, d’Argent P, Davies JE, Davis A, De Aguiar Francisco O, De Bruyn K, De Capua S, De Cian M, De Miranda JM, De Paula L, De Serio M, De Simone D, De Simone P, De Vellis F, de Vries JA, Dean CT, Debernardis F, Decamp D, Dedu V, Buono LD, Delaney B, Dembinski HP, Dendek A, Denysenko V, Derkach D, Deschamps O, Desse F, Dettori F, Dey B, Cicco AD, Nezza PD, Didenko S, Maronas LD, Dijkstra H, Dobishuk V, Dong C, Donohoe AM, Dordei F, dos Reis AC, Douglas L, Dovbnya A, Downes AG, Dudek MW, Dufour L, Duk V, Durante P, Durham JM, Dutta D, Dziurda A, Dzyuba A, Easo S, Egede U, Egorychev V, Eidelman S, Eisenhardt S, Ek-In S, Eklund L, Ely S, Ene A, Epple E, Escher S, Eschle J, Esen S, Evans T, Falabella A, Fan J, Fan Y, Fang B, Farry S, Fazzini D, Féo M, Prieto AF, Fernez AD, Ferrari F, Lopes LF, Rodrigues FF, Sole SF, Ferrillo M, Ferro-Luzzi M, Filippov S, Fini RA, Fiorini M, Firlej M, Fischer KM, Fitzgerald DS, Fitzpatrick C, Fiutowski T, Fkiaras A, Fleuret F, Fontana M, Fontanelli F, Forty R, Foulds-Holt D, Lima VF, Sevilla MF, Frank M, Franzoso E, Frau G, Frei C, Friday DA, Fu J, Fuehring Q, Gabriel E, Galati G, Torreira AG, Galli D, Gambetta S, Gan Y, Gandelman M, Gandini P, Gao Y, Garau M, Martin LMG, Moreno PG, Pardiñas JG, Plana BG, Rosales FAG, Garrido L, Gaspar C, Geertsema RE, Gerick D, Gerken LL, Gersabeck E, Gersabeck M, Gershon T, Gerstel D, Giambastiani L, Gibson V, Giemza HK, Gilman AL, Giovannetti M, Gioventù A, Gironell PG, Giubega L, Giugliano C, Gizdov K, Gkougkousis EL, Gligorov VV, Göbel C, Golobardes E, Golubkov D, Golutvin A, Gomes A, Fernandez SG, Abrantes FG, Goncerz M, Gong G, Gorbounov P, Gorelov IV, Gotti C, Govorkova E, Grabowski JP, Grammatico T, Cardoso LAG, Graugés E, Graverini E, Graziani G, Grecu A, Greeven LM, Grieser NA, Grillo L, Gromov S, Cazon BRG, Gu C, Guarise M, Guittiere M, Günther PA, Gushchin E, Guth A, Guz Y, Gys T, Hadavizadeh T, Haefeli G, Haen C, Haimberger J, Halewood-leagas T, Hamilton PM, Hammerich JP, Han Q, Han X, Hancock TH, Hansen EB, Hansmann-Menzemer S, Harnew N, Harrison T, Hasse C, Hatch M, He J, Hecker M, Heijhoff K, Heinicke K, Hennequin AM, Hennessy K, Henry L, Heuel J, Hicheur A, Hill D, Hilton M, Hollitt SE, Hou R, Hou Y, Hu J, Hu J, Hu W, Hu X, Huang W, Huang X, Hulsbergen W, Hunter RJ, Hushchyn M, Hutchcroft D, Hynds D, Ibis P, Idzik M, Ilin D, Ilten P, Inglessi A, Ishteev A, Ivshin K, Jacobsson R, Jage H, Jakobsen S, Jans E, Jashal BK, Jawahery A, Jevtic V, Jiang F, John M, Johnson D, Jones CR, Jones TP, Jost B, Jurik N, Kadavath SHK, Kandybei S, Kang Y, Karacson M, Karpov M, Keizer F, Keller DM, Kenzie M, Ketel T, Khanji B, Kharisova A, Kholodenko S, Kirn T, Kirsebom VS, Kitouni O, Klaver S, Kleijne N, Klimaszewski K, Kmiec MR, Koliiev S, Kondybayeva A, Konoplyannikov A, Kopciewicz P, Kopecna R, Koppenburg P, Korolev M, Kostiuk I, Kot O, Kotriakhova S, Kravchenko P, Kravchuk L, Krawczyk RD, Kreps M, Kress F, Kretzschmar S, Krokovny P, Krupa W, Krzemien W, Kucharczyk M, Kudryavtsev V, Kuindersma HS, Kunde GJ, Kvaratskheliya T, Lacarrere D, Lafferty G, Lai A, Lampis A, Lancierini D, Lane JJ, Lane R, Lanfranchi G, Langenbruch C, Langer J, Lantwin O, Latham T, Lazzari F, Gac RL, Lee SH, Lefèvre R, Leflat A, Legotin S, Leroy O, Lesiak T, Leverington B, Li H, Li P, Li S, Li Y, Li Z, Liang X, Lin T, Lindner R, Lisovskyi V, Litvinov R, Liu G, Liu H, Liu Q, Liu S, Salvia AL, Loi A, Castro JL, Longstaff I, Lopes JH, Solino SL, Lovell GH, Lu Y, Lucarelli C, Lucchesi D, Luchuk S, Martinez ML, Lukashenko V, Luo Y, Lupato A, Luppi E, Lupton O, Lusiani A, Lyu X, Ma L, Ma R, Maccolini S, Machefert F, Maciuc F, Macko V, Mackowiak P, Maddrell-Mander S, Madejczyk O, Mohan LRM, Maev O, Maevskiy A, Maisuzenko D, Majewski MW, Malczewski JJ, Malde S, Malecki B, Malinin A, Maltsev T, Malygina H, Manca G, Mancinelli G, Manuzzi D, Marangotto D, Maratas J, Marchand JF, Marconi U, Mariani S, Benito CM, Marinangeli M, Marks J, Marshall AM, Marshall PJ, Martelli G, Martellotti G, Martinazzoli L, Martinelli M, Santos DM, Vidal FM, Massafferri A, Materok M, Matev R, Mathad A, Matiunin V, Matteuzzi C, Mattioli KR, Mauri A, Maurice E, Mauricio J, Mazurek M, McCann M, Mcconnell L, Mcgrath TH, Mchugh NT, McNab A, McNulty R, Mead JV, Meadows B, Meier G, Meinert N, Melnychuk D, Meloni S, Merk M, Merli A, Garcia LM, Mikhasenko M, Milanes DA, Millard E, Milovanovic M, Minard MN, Minotti A, Minzoni L, Mitchell SE, Mitreska B, Mitzel DS, Mödden A, Mohammed RA, Moise RD, Mokhnenko S, Mombächer T, Monroy IA, Monteil S, Morandin M, Morello G, Morello MJ, Moron J, Morris AB, Morris AG, Mountain R, Mu H, Muheim F, Mulder M, Müller D, Müller K, Murphy CH, Murray D, Muzzetto P, Naik P, Nakada T, Nandakumar R, Nanut T, Nasteva I, Needham M, Neri I, Neri N, Neubert S, Neufeld N, Newcombe R, Niel EM, Nieswand S, Nikitin N, Nolte NS, Normand C, Nunez C, Oblakowska-Mucha A, Obraztsov V, Oeser T, O’Hanlon DP, Okamura S, Oldeman R, Oliva F, Olivares ME, Onderwater CJG, O’neil RH, Goicochea JMO, Ovsiannikova T, Owen P, Oyanguren A, Padeken KO, Pagare B, Pais PR, Pajero T, Palano A, Palutan M, Pan Y, Panshin G, Papanestis A, Pappagallo M, Pappalardo LL, Pappenheimer C, Parker W, Parkes C, Passalacqua B, Passaleva G, Pastore A, Patel M, Patrignani C, Pawley CJ, Pearce A, Pellegrino A, Altarelli MP, Perazzini S, Pereima D, Castro AP, Perret P, Petric M, Petridis K, Petrolini A, Petrov A, Petrucci S, Petruzzo M, Pham TTH, Pica L, Piccini M, Pietrzyk B, Pietrzyk G, Pili M, Pinci D, Pisani F, Pizzichemi M, Resmi PK, Placinta V, Plews J, Casasus MP, Polci F, Lener MP, Poliakova M, Poluektov A, Polukhina N, Polyakov I, Polycarpo E, Ponce S, Popov D, Popov S, Poslavskii S, Prasanth K, Promberger L, Prouve C, Pugatch V, Puill V, Pullen H, Punzi G, Qi H, Qian W, Qin J, Qin N, Quagliani R, Quintana B, Raab NV, Trejo RIR, Rachwal B, Rademacker JH, Rama M, Pernas MR, Rangel MS, Ratnikov F, Raven G, Reboud M, Redi F, Reiss F, Alepuz CR, Ren Z, Renaudin V, Ribatti R, Ricciardi S, Rinnert K, Robbe P, Robertson G, Rodrigues AB, Rodrigues E, Lopez JAR, Rodriguez ERRR, Rollings A, Roloff P, Romanovskiy V, Lamas MR, Vidal AR, Roth JD, Rotondo M, Rudolph MS, Ruf T, Fernandez RAR, Vidal JR, Ryzhikov A, Ryzka J, Silva JJS, Sagidova N, Sahoo N, Saitta B, Salomoni M, Gras CS, Santacesaria R, Rios CS, Santimaria M, Santovetti E, Saranin D, Sarpis G, Sarpis M, Sarti A, Satriano C, Satta A, Saur M, Savrina D, Sazak H, Smead LGS, Scarabotto A, Schael S, Scherl S, Schiller M, Schindler H, Schmelling M, Schmidt B, Schmitt S, Schneider O, Schopper A, Schubiger M, Schulte S, Schune MH, Schwemmer R, Sciascia B, Sellam S, Semennikov A, Soares MS, Sergi A, Serra N, Sestini L, Seuthe A, Shang Y, Shangase DM, Shapkin M, Shchemerov I, Shchutska L, Shears T, Shekhtman L, Shen Z, Shevchenko V, Shields EB, Shimizu Y, Shmanin E, Shupperd JD, Siddi BG, Coutinho RS, Simi G, Simone S, Skidmore N, Skwarnicki T, Slater MW, Slazyk I, Smallwood JC, Smeaton JG, Smetkina A, Smith E, Smith M, Snoch A, Soares M, Lavra LS, Sokoloff MD, Soler FJP, Solovev A, Solovyev I, De Almeida FLS, De Paula BS, Spaan B, Norella ES, Spradlin P, Stagni F, Stahl M, Stahl S, Stanislaus S, Steinkamp O, Stenyakin O, Stevens H, Stone S, Straticiuc M, Strekalina D, Suljik F, Sun J, Sun L, Sun Y, Svihra P, Swallow PN, Swientek K, Szabelski A, Szumlak T, Szymanski M, Taneja S, Tanner AR, Tat MD, Terentev A, Teubert F, Thomas E, Thompson DJD, Thomson KA, Tisserand V, T’Jampens S, Tobin M, Tomassetti L, Tong X, Machado DT, Tou DY, Trifonova E, Trippl C, Tuci G, Tully A, Tuning N, Ukleja A, Unverzagt DJ, Ursov E, Usachov A, Ustyuzhanin A, Uwer U, Vagner A, Vagnoni V, Valassi A, Valenti G, Canudas NV, van Beuzekom M, Dijk MV, van Herwijnen E, Van Hulse CB, van Veghel M, Gomez RV, Regueiro PV, Sierra CV, Vecchi S, Velthuis JJ, Veltri M, Venkateswaran A, Veronesi M, Vesterinen M, Vieira D, Diaz MV, Viemann H, Vilasis-Cardona X, Figueras EV, Villa A, Vincent P, Volle FC, Bruch DV, Vorobyev A, Vorobyev V, Voropaev N, Vos K, Waldi R, Walsh J, Wang C, Wang J, Wang J, Wang J, Wang J, Wang M, Wang R, Wang Y, Wang Z, Wang Z, Wang Z, Ward JA, Watson NK, Weber SG, Websdale D, Weisser C, Westhenry BDC, White DJ, Whitehead M, Wiederhold AR, Wiedner D, Wilkinson G, Wilkinson M, Williams I, Williams M, Williams MRJ, Wilson FF, Wislicki W, Witek M, Witola L, Wormser G, Wotton SA, Wu H, Wyllie K, Xiang Z, Xiao D, Xie Y, Xu A, Xu J, Xu L, Xu M, Xu Q, Xu Z, Xu Z, Yang D, Yang S, Yang Y, Yang Z, Yang Z, Yao Y, Yeomans LE, Yin H, Yu J, Yuan X, Yushchenko O, Zaffaroni E, Zavertyaev M, Zdybal M, Zenaiev O, Zeng M, Zhang D, Zhang L, Zhang S, Zhang S, Zhang Y, Zhang Y, Zharkova A, Zhelezov A, Zheng Y, Zhou T, Zhou X, Zhou Y, Zhovkovska V, Zhu X, Zhu X, Zhu Z, Zhukov V, Zonneveld JB, Zou Q, Zucchelli S, Zuliani D, Zunica G. Study of the doubly charmed tetraquark [Formula: see text]. Nat Commun 2022; 13:3351. [PMID: 35710739 PMCID: PMC9203551 DOI: 10.1038/s41467-022-30206-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 04/14/2022] [Indexed: 11/24/2022] Open
Abstract
Quantum chromodynamics, the theory of the strong force, describes interactions of coloured quarks and gluons and the formation of hadronic matter. Conventional hadronic matter consists of baryons and mesons made of three quarks and quark-antiquark pairs, respectively. Particles with an alternative quark content are known as exotic states. Here a study is reported of an exotic narrow state in the D0D0π+ mass spectrum just below the D*+D0 mass threshold produced in proton-proton collisions collected with the LHCb detector at the Large Hadron Collider. The state is consistent with the ground isoscalar [Formula: see text] tetraquark with a quark content of [Formula: see text] and spin-parity quantum numbers JP = 1+. Study of the DD mass spectra disfavours interpretation of the resonance as the isovector state. The decay structure via intermediate off-shell D*+ mesons is consistent with the observed D0π+ mass distribution. To analyse the mass of the resonance and its coupling to the D*D system, a dedicated model is developed under the assumption of an isoscalar axial-vector [Formula: see text] state decaying to the D*D channel. Using this model, resonance parameters including the pole position, scattering length, effective range and compositeness are determined to reveal important information about the nature of the [Formula: see text] state. In addition, an unexpected dependence of the production rate on track multiplicity is observed.
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Aaij R, Abdelmotteleb ASW, Abellán Beteta C, Abudinén F, Ackernley T, Adeva B, Adinolfi M, Afsharnia H, Agapopoulou C, Aidala CA, Aiola S, Ajaltouni Z, Akar S, Albrecht J, Alessio F, Alexander M, Alfonso Albero A, Aliouche Z, Alkhazov G, Alvarez Cartelle P, Alves AA, Amato S, Amey JL, Amhis Y, An L, Anderlini L, Andersson N, Andreianov A, Andreotti M, Archilli F, Artamonov A, Artuso M, Arzymatov K, Aslanides E, Atzeni M, Audurier B, Bachmann S, Bachmayer M, Back JJ, Baladron Rodriguez P, Balagura V, Baldini W, Baptista Leite J, Barbetti M, Barlow RJ, Barsuk S, Barter W, Bartolini M, Baryshnikov F, Basels JM, Bashir S, Bassi G, Batsukh B, Battig A, Bay A, Beck A, Becker M, Bedeschi F, Bediaga I, Beiter A, Belavin V, Belin S, Bellee V, Belous K, Belov I, Belyaev I, Bencivenni G, Ben-Haim E, Berezhnoy A, Bernet R, Berninghoff D, Bernstein HC, Bertella C, Bertolin A, Betancourt C, Betti F, Bezshyiko I, Bhasin S, Bhom J, Bian L, Bieker MS, Biesuz NV, Bifani S, Billoir P, Biolchini A, Birch M, Bishop FCR, Bitadze A, Bizzeti A, Bjørn M, Blago MP, Blake T, Blanc F, Blusk S, Bobulska D, Boelhauve JA, Boente Garcia O, Boettcher T, Boldyrev A, Bondar A, Bondar N, Borghi S, Borisyak M, Borsato M, Borsuk JT, Bouchiba SA, Bowcock TJV, Boyer A, Bozzi C, Bradley MJ, Braun S, Brea Rodriguez A, Brodzicka J, Brossa Gonzalo A, Brundu D, Buonaura A, Buonincontri L, Burke AT, Burr C, Bursche A, Butkevich A, Butter JS, Buytaert J, Byczynski W, Cadeddu S, Cai H, Calabrese R, Calefice L, Cali S, Calladine R, Calvi M, Calvo Gomez M, Camargo Magalhaes P, Campana P, Campoverde Quezada AF, Capelli S, Capriotti L, Carbone A, Carboni G, Cardinale R, Cardini A, Carli I, Carniti P, Carus L, Carvalho Akiba K, Casais Vidal A, Caspary R, Casse G, Cattaneo M, Cavallero G, Celani S, Cerasoli J, Cervenkov D, Chadwick AJ, Chapman MG, Charles M, Charpentier P, Chatzikonstantinidis G, Chavez Barajas CA, Chefdeville M, Chen C, Chen S, Chernov A, Chobanova V, Cholak S, Chrzaszcz M, Chubykin A, Chulikov V, 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BK, Jawahery A, Jevtic V, Jiang X, John M, Johnson D, Jones CR, Jones TP, Jost B, Jurik N, Kalavan Kadavath SH, Kandybei S, Kang Y, Karacson M, Karpov M, Kautz JW, Keizer F, Keller DM, Kenzie M, Ketel T, Khanji B, Kharisova A, Kholodenko S, Kirn T, Kirsebom VS, Kitouni O, Klaver S, Kleijne N, Klimaszewski K, Kmiec MR, Koliiev S, Kondybayeva A, Konoplyannikov A, Kopciewicz P, Kopecna R, Koppenburg P, Korolev M, Kostiuk I, Kot O, Kotriakhova S, Kravchenko P, Kravchuk L, Krawczyk RD, Kreps M, Kress F, Kretzschmar S, Krokovny P, Krupa W, Krzemien W, Kubat J, Kucharczyk M, Kudryavtsev V, Kuindersma HS, Kunde GJ, Kvaratskheliya T, Lacarrere D, Lafferty G, Lai A, Lampis A, Lancierini D, Lane JJ, Lane R, Lanfranchi G, Langenbruch C, Langer J, Lantwin O, Latham T, Lazzari F, Le Gac R, Lee SH, Lefèvre R, Leflat A, Legotin S, Leroy O, Lesiak T, Leverington B, Li H, Li P, Li S, Li Y, Li Y, Li Z, Liang X, Lin T, Lindner R, Lisovskyi V, Litvinov R, Liu G, Liu H, Liu Q, Liu S, Lobo Salvia A, Loi A, 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Watson NK, Weber SG, Websdale D, Weisser C, Westhenry BDC, White DJ, Whitehead M, Wiederhold AR, Wiedner D, Wilkinson G, Wilkinson M, Williams I, Williams M, Williams MRJ, Wilson FF, Wislicki W, Witek M, Witola L, Wormser G, Wotton SA, Wu H, Wyllie K, Xiang Z, Xiao D, Xie Y, Xu A, Xu J, Xu L, Xu M, Xu Q, Xu Z, Xu Z, Yang D, Yang S, Yang Y, Yang Z, Yang Z, Yao Y, Yeomans LE, Yin H, Yu J, Yuan X, Yushchenko O, Zaffaroni E, Zavertyaev M, Zdybal M, Zenaiev O, Zeng M, Zhang D, Zhang L, Zhang S, Zhang S, Zhang Y, Zhang Y, Zharkova A, Zhelezov A, Zheng Y, Zhou T, Zhou X, Zhou Y, Zhovkovska V, Zhu X, Zhu X, Zhu Z, Zhukov V, Zonneveld JB, Zou Q, Zucchelli S, Zuliani D, Zunica G. Angular Analysis of D^{0}→π^{+}π^{-}μ^{+}μ^{-} and D^{0}→K^{+}K^{-}μ^{+}μ^{-} Decays and Search for CP Violation. PHYSICAL REVIEW LETTERS 2022; 128:221801. [PMID: 35714260 DOI: 10.1103/physrevlett.128.221801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 05/02/2022] [Indexed: 06/15/2023]
Abstract
The first full angular analysis and an updated measurement of the decay-rate CP asymmetry of the D^{0}→π^{+}π^{-}μ^{+}μ^{-} and D^{0}→K^{+}K^{-}μ^{+}μ^{-} decays are reported. The analysis uses proton-proton collision data collected with the LHCb detector at center-of-mass energies of 7, 8, and 13 TeV. The dataset corresponds to an integrated luminosity of 9 fb^{-1}. The full set of CP -averaged angular observables and their CP asymmetries are measured as a function of the dimuon invariant mass. The results are consistent with expectations from the standard model and with CP symmetry.
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