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Hui YC, Wang JP, He SY, Xing XY, Wang X, Zhao F, Qian X, Li H, Gong QH, An YL, Chen YY, Li GW. [The relationship between insulin resistance and risk of long-term mortality in people without diabetes: a 30-year follow-up of the Daqing Diabetes Study]. ZHONGHUA NEI KE ZA ZHI 2022; 61:659-663. [PMID: 35673746 DOI: 10.3760/cma.j.cn112138-20220206-00090] [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 determine whether insulin resistance is associated with all-cause mortality in subjects without diabetes. Methods: A total of 505 participants without diabetes, 198 with normal glucose tolerance (NGT) and 307 with impaired glucose tolerance (IGT), were recruited from the Daqing Diabetes Study. The participants were followed up for 30 years. They were stratified into three groups (tertiles) according to baseline homeostasis model assessment of insulin resistance(HOMA-IR) levels, as the HOMA-IR 0, the HOMA-IR 1 and the HOMA-IR 2 groups, to assess the predictive effect of insulin resistance on risk of all-cause mortality. Results: During the 30-year follow-up, 52, 56 and 78 participants died across the three HOMA-IR groups, respectively. The corresponding mortality per 1 000 person-years (95%CI) were 12.12 (9.56-15.01), 13.10 (10.46-16.03) and 19.91 (16.73-23.15), respectively. Participants in the HOMA-IR 2 group had a significantly higher risk of death than those in the HOMA-IR 0 group after adjustment of age, sex and smoking status (HR=1.97,95%CI 1.38-2.81, P<0.001). Cox analyses showed that a one standard deviation increase in HOMA-IR was associated with a 22% increase in the mortality after adjustment of potential confounders (HR=1.22, 95%CI 1.08-1.39, P=0.002). Conclusions: Insulin resistance is associated with increased risk of all-cause death in Chinese people without diabetes, suggesting that improving insulin resistance could be beneficial for people without diabetic in reducing risk of long-term all-cause mortality.
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Zhong J, Qin Y, Yu P, Xia W, Gu B, Qian X, Hu Y, Su W, Zhang Z. The Landscape of the Tumor-Infiltrating Immune Cell and Prognostic Nomogram in Colorectal Cancer. Front Genet 2022; 13:891270. [PMID: 35646079 PMCID: PMC9133796 DOI: 10.3389/fgene.2022.891270] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 04/11/2022] [Indexed: 12/24/2022] Open
Abstract
Tumor-infiltrating immune cells are associated with prognosis and immunotherapy targets in colorectal cancer (CRC). The recently developed CIBERSORT method allows immune cell analysis by deconvolution of high-throughput data onto gene expression. In this study, we analyzed the relative proportions of immune cells in GEO (94 samples) and TCGA (522 samples) CRC data based on the CIBERSORT method. A total of 22 types of tumor-infiltrating immune cells were evaluated. Combined with GEO and TCGA data, it was found that naive B cells, M2 macrophages, and resting mast cells were highly expressed in normal tissues, while M0 macrophages, M1 macrophages, activated mast cells, and neutrophils were highly expressed in tumors. Moreover, we constructed a prognostic model by infiltrating immune cells that showed high specificity and sensitivity in both the training (AUC of 5-year survival = 0.699) and validation (AUC of 5-year survival = 0.844) sets. This provides another basis for clinical prognosis. The results of multiple immunofluorescence detection showed that there were differences in the results of bioinformatics analysis. Neutrophils were highly expressed in normal tissues, and M2 macrophages were highly expressed in tumor tissues. Collectively, our data suggested that infiltrating immune cells in CRC may be an important determinant of prognosis and immunotherapy.
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Abratenko P, An R, Anthony J, Arellano L, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Book JY, Camilleri L, Caratelli D, Caro Terrazas I, Cavanna F, Cerati G, Chen Y, Cianci D, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Dennis SR, Detje P, Devitt A, Diurba R, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Evans JJ, Fine R, Fiorentini Aguirre GA, Fitzpatrick RS, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hen O, Hilgenberg C, Horton-Smith GA, Hourlier A, Itay R, James C, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kalra D, Kamp N, Kaneshige N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, Lepetic I, Li K, Li Y, Lin K, Littlejohn BR, Louis WC, Luo X, Manivannan K, Mariani C, Marsden D, Marshall J, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor AF, Moore CD, Mora Lepin L, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Nebot-Guinot M, Neely RK, Newmark DA, Nowak J, Nunes M, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate SF, Patel N, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rice LCJ, Rochester L, Rodriguez Rondon J, Rosenberg M, Ross-Lonergan M, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Sinclair J, Smith A, Snider EL, Soderberg M, Söldner-Rembold S, Spentzouris P, Spitz J, Stancari M, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc AM, Tang W, Terao K, Thorpe C, Totani D, Toups M, Tsai YT, Uchida MA, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wright N, Wu W, Yandel E, Yang T, Yarbrough G, Yates LE, Yu HW, Zeller GP, Zennamo J, Zhang C. First Measurement of Energy-Dependent Inclusive Muon Neutrino Charged-Current Cross Sections on Argon with the MicroBooNE Detector. PHYSICAL REVIEW LETTERS 2022; 128:151801. [PMID: 35499871 DOI: 10.1103/physrevlett.128.151801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 03/09/2022] [Indexed: 06/14/2023]
Abstract
We report a measurement of the energy-dependent total charged-current cross section σ(E_{ν}) for inclusive muon neutrinos scattering on argon, as well as measurements of flux-averaged differential cross sections as a function of muon energy and hadronic energy transfer (ν). Data corresponding to 5.3×10^{19} protons on target of exposure were collected using the MicroBooNE liquid argon time projection chamber located in the Fermilab booster neutrino beam with a mean neutrino energy of approximately 0.8 GeV. The mapping between the true neutrino energy E_{ν} and reconstructed neutrino energy E_{ν}^{rec} and between the energy transfer ν and reconstructed hadronic energy E_{had}^{rec} are validated by comparing the data and Monte Carlo (MC) predictions. In particular, the modeling of the missing hadronic energy and its associated uncertainties are verified by a new method that compares the E_{had}^{rec} distributions between data and a MC prediction after constraining the reconstructed muon kinematic distributions, energy, and polar angle to those of data. The success of this validation gives confidence that the missing energy in the MicroBooNE detector is well modeled and underpins first-time measurements of both the total cross section σ(E_{ν}) and the differential cross section dσ/dν on argon.
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Bethlehem RAI, Seidlitz J, White SR, Vogel JW, Anderson KM, Adamson C, Adler S, Alexopoulos GS, Anagnostou E, Areces-Gonzalez A, Astle DE, Auyeung B, Ayub M, Bae J, Ball G, Baron-Cohen S, Beare R, Bedford SA, Benegal V, Beyer F, Blangero J, Blesa Cábez M, Boardman JP, Borzage M, Bosch-Bayard JF, Bourke N, Calhoun VD, Chakravarty MM, Chen C, Chertavian C, Chetelat G, Chong YS, Cole JH, Corvin A, Costantino M, Courchesne E, Crivello F, Cropley VL, Crosbie J, Crossley N, Delarue M, Delorme R, Desrivieres S, Devenyi GA, Di Biase MA, Dolan R, Donald KA, Donohoe G, Dunlop K, Edwards AD, Elison JT, Ellis CT, Elman JA, Eyler L, Fair DA, Feczko E, Fletcher PC, Fonagy P, Franz CE, Galan-Garcia L, Gholipour A, Giedd J, Gilmore JH, Glahn DC, Goodyer IM, Grant PE, Groenewold NA, Gunning FM, Gur RE, Gur RC, Hammill CF, Hansson O, Hedden T, Heinz A, Henson RN, Heuer K, Hoare J, Holla B, Holmes AJ, Holt R, Huang H, Im K, Ipser J, Jack CR, Jackowski AP, Jia T, Johnson KA, Jones PB, Jones DT, Kahn RS, Karlsson H, Karlsson L, Kawashima R, Kelley EA, Kern S, Kim KW, Kitzbichler MG, Kremen WS, Lalonde F, Landeau B, Lee S, Lerch J, Lewis JD, Li J, Liao W, Liston C, Lombardo MV, Lv J, Lynch C, Mallard TT, Marcelis M, Markello RD, Mathias SR, Mazoyer B, McGuire P, Meaney MJ, Mechelli A, Medic N, Misic B, Morgan SE, Mothersill D, Nigg J, Ong MQW, Ortinau C, Ossenkoppele R, Ouyang M, Palaniyappan L, Paly L, Pan PM, Pantelis C, Park MM, Paus T, Pausova Z, Paz-Linares D, Pichet Binette A, Pierce K, Qian X, Qiu J, Qiu A, Raznahan A, Rittman T, Rodrigue A, Rollins CK, Romero-Garcia R, Ronan L, Rosenberg MD, Rowitch DH, Salum GA, Satterthwaite TD, Schaare HL, Schachar RJ, Schultz AP, Schumann G, Schöll M, Sharp D, Shinohara RT, Skoog I, Smyser CD, Sperling RA, Stein DJ, Stolicyn A, Suckling J, Sullivan G, Taki Y, Thyreau B, Toro R, Traut N, Tsvetanov KA, Turk-Browne NB, Tuulari JJ, Tzourio C, Vachon-Presseau É, Valdes-Sosa MJ, Valdes-Sosa PA, Valk SL, van Amelsvoort T, Vandekar SN, Vasung L, Victoria LW, Villeneuve S, Villringer A, Vértes PE, Wagstyl K, Wang YS, Warfield SK, Warrier V, Westman E, Westwater ML, Whalley HC, Witte AV, Yang N, Yeo B, Yun H, Zalesky A, Zar HJ, Zettergren A, Zhou JH, Ziauddeen H, Zugman A, Zuo XN, Bullmore ET, Alexander-Bloch AF. Brain charts for the human lifespan. Nature 2022; 604:525-533. [PMID: 35388223 PMCID: PMC9021021 DOI: 10.1038/s41586-022-04554-y] [Citation(s) in RCA: 435] [Impact Index Per Article: 217.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 02/16/2022] [Indexed: 02/02/2023]
Abstract
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http://www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
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Abratenko P, An R, Anthony J, Arellano L, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Book JY, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Cianci D, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Dennis SR, Detje P, Devitt A, Diurba R, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Evans JJ, Fine R, Fiorentini Aguirre GA, Fitzpatrick RS, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hen O, Hilgenberg C, Horton-Smith GA, Hourlier A, Itay R, James C, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kalra D, Kamp N, Kaneshige N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Lin K, Littlejohn BR, Louis WC, Luo X, Manivannan K, Mariani C, Marsden D, Marshall J, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor AF, Moore CD, Mora Lepin L, Mousseau J, Murphy M, Murrells R, Naples D, Navrer-Agasson A, Nebot-Guinot M, Neely RK, Newmark DA, Nowak J, Nunes M, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate SF, Patel N, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rice LCJ, Rochester L, Rodriguez Rondon J, Rosenberg M, Ross-Lonergan M, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Sinclair J, Smith A, Snider EL, Soderberg M, Söldner-Rembold S, Spentzouris P, Spitz J, Stancari M, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc AM, Tang W, Terao K, Thorpe C, Totani D, Toups M, Tsai YT, Uchida MA, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wright N, Wu W, Yandel E, Yang T, Yarbrough G, Yates LE, Yu HW, Zeller GP, Zennamo J, Zhang C. Search for Neutrino-Induced Neutral-Current Δ Radiative Decay in MicroBooNE and a First Test of the MiniBooNE Low Energy Excess under a Single-Photon Hypothesis. PHYSICAL REVIEW LETTERS 2022; 128:111801. [PMID: 35363017 DOI: 10.1103/physrevlett.128.111801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 02/10/2022] [Indexed: 06/14/2023]
Abstract
We report results from a search for neutrino-induced neutral current (NC) resonant Δ(1232) baryon production followed by Δ radiative decay, with a ⟨0.8⟩ GeV neutrino beam. Data corresponding to MicroBooNE's first three years of operations (6.80×10^{20} protons on target) are used to select single-photon events with one or zero protons and without charged leptons in the final state (1γ1p and 1γ0p, respectively). The background is constrained via an in situ high-purity measurement of NC π^{0} events, made possible via dedicated 2γ1p and 2γ0p selections. A total of 16 and 153 events are observed for the 1γ1p and 1γ0p selections, respectively, compared to a constrained background prediction of 20.5±3.65(syst) and 145.1±13.8(syst) events. The data lead to a bound on an anomalous enhancement of the normalization of NC Δ radiative decay of less than 2.3 times the predicted nominal rate for this process at the 90% confidence level (C.L.). The measurement disfavors a candidate photon interpretation of the MiniBooNE low-energy excess as a factor of 3.18 times the nominal NC Δ radiative decay rate at the 94.8% C.L., in favor of the nominal prediction, and represents a greater than 50-fold improvement over the world's best limit on single-photon production in NC interactions in the sub-GeV neutrino energy range.
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An FP, Andriamirado M, Balantekin AB, Band HR, Bass CD, Bergeron DE, Berish D, Bishai M, Blyth S, Bowden NS, Bryan CD, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen SM, Chen Y, Chen YX, Cheng J, Cheng ZK, Cherwinka JJ, Chu MC, Classen T, Conant AJ, Cummings JP, Dalager O, Deichert G, Delgado A, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolinski MJ, Dolzhikov D, Dove J, Dvořák M, Dwyer DA, Erickson A, Foust BT, Gaison JK, Galindo-Uribarri A, Gallo JP, Gilbert CE, Gonchar M, Gong GH, Gong H, Grassi M, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Hans S, Hansell AB, He M, Heeger KM, Heffron B, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Koblanski J, Jaffe DE, Jayakumar S, Jen KL, Ji XL, Ji XP, Johnson RA, Jones DC, Kang L, Kettell SH, Kohn S, Kramer M, Kyzylova O, Lane CE, Langford TJ, LaRosa J, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Lu X, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Maricic J, Marshall C, McDonald KT, McKeown RD, Mendenhall MP, Meng Y, Meyer AM, Milincic R, Mueller PE, Mumm HP, Napolitano J, Naumov D, Naumova E, Neilson R, Nguyen TMT, Nikkel JA, Nour S, Ochoa-Ricoux JP, Olshevskiy A, Palomino JL, Pan HR, Park J, Patton S, Peng JC, Pun CSJ, Pushin DA, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Searles M, Steiner H, Sun JL, Surukuchi PT, Tmej T, Treskov K, Tse WH, Tull CE, Tyra MA, Varner RL, Venegas-Vargas D, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Weatherly PB, Wei HY, Wei LH, Wen LJ, Whisnant K, White C, Wilhelmi J, Wong HLH, Woolverton A, Worcester E, Wu DR, Wu FL, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JW, Zhang QM, Zhang SQ, Zhang X, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. Joint Determination of Reactor Antineutrino Spectra from ^{235}U and ^{239}Pu Fission by Daya Bay and PROSPECT. PHYSICAL REVIEW LETTERS 2022; 128:081801. [PMID: 35275656 DOI: 10.1103/physrevlett.128.081801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 08/17/2021] [Accepted: 10/26/2021] [Indexed: 06/14/2023]
Abstract
A joint determination of the reactor antineutrino spectra resulting from the fission of ^{235}U and ^{239}Pu has been carried out by the Daya Bay and PROSPECT Collaborations. This Letter reports the level of consistency of ^{235}U spectrum measurements from the two experiments and presents new results from a joint analysis of both data sets. The measurements are found to be consistent. The combined analysis reduces the degeneracy between the dominant ^{235}U and ^{239}Pu isotopes and improves the uncertainty of the ^{235}U spectral shape to about 3%. The ^{235}U and ^{239}Pu antineutrino energy spectra are unfolded from the jointly deconvolved reactor spectra using the Wiener-SVD unfolding method, providing a data-based reference for other reactor antineutrino experiments and other applications. This is the first measurement of the ^{235}U and ^{239}Pu spectra based on the combination of experiments at low- and highly enriched uranium reactors.
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Almazán H, Andriamirado M, Balantekin AB, Band HR, Bass CD, Bergeron DE, Bernard L, Blanchet A, Bonhomme A, Bowden NS, Bryan CD, Buck C, Classen T, Conant AJ, Deichert G, Del Amo Sanchez P, Delgado A, Diwan MV, Dolinski MJ, El Atmani I, Erickson A, Foust BT, Gaison JK, Galindo-Uribarri A, Gilbert CE, Hans S, Hansell AB, Heeger KM, Heffron B, Jaffe DE, Jayakumar S, Ji X, Jones DC, Koblanski J, Kyzylova O, Labit L, Lamblin J, Lane CE, Langford TJ, LaRosa J, Letourneau A, Lhuillier D, Licciardi M, Lindner M, Littlejohn BR, Lu X, Maricic J, Materna T, Mendenhall MP, Meyer AM, Milincic R, Mueller PE, Mumm HP, Napolitano J, Neilson R, Nikkel JA, Nour S, Palomino JL, Pessard H, Pushin DA, Qian X, Réal JS, Ricol JS, Roca C, Rogly R, Rosero R, Salagnac T, Savu V, Schoppmann S, Searles M, Sergeyeva V, Soldner T, Stutz A, Surukuchi PT, Tyra MA, Varner RL, Venegas-Vargas D, Vialat M, Weatherly PB, White C, Wilhelmi J, Woolverton A, Yeh M, Zhang C, Zhang X. Joint Measurement of the ^{235}U Antineutrino Spectrum by PROSPECT and STEREO. PHYSICAL REVIEW LETTERS 2022; 128:081802. [PMID: 35275665 DOI: 10.1103/physrevlett.128.081802] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 12/23/2021] [Indexed: 06/14/2023]
Abstract
The PROSPECT and STEREO collaborations present a combined measurement of the pure ^{235}U antineutrino spectrum, without site specific corrections or detector-dependent effects. The spectral measurements of the two highest precision experiments at research reactors are found to be compatible with χ^{2}/ndf=24.1/21, allowing a joint unfolding of the prompt energy measurements into antineutrino energy. This ν[over ¯]_{e} energy spectrum is provided to the community, and an excess of events relative to the Huber model is found in the 5-6 MeV region. When a Gaussian bump is fitted to the excess, the data-model χ^{2} value is improved, corresponding to a 2.4σ significance.
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Ren Z, Ding HM, Qian X, Pan SY. [Clinical value of tumor-associated autoantibodies in diagnosis of early non-small cell lung cancer]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2021; 55:1426-1434. [PMID: 34963239 DOI: 10.3760/cma.j.cn112150-20210511-00461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To investigate the auxiliary diagnostic value of seven tumor-associated autoantibodies (AABs) P53, PGP9.5, SOX2, GAGE7, GBU4-5, MAGEA1 and CAGE in early non-small cell lung cancer (NSCLC). Methods: The case-control study enrolled 195 patients with early NSCLC [71 males and 124 females, aged (55.70±11.78) years old], 114 patients with benign lung disease [44 males and 70 females, aged (52.85±12.31) years old] and 100 healthy subjects [39 males and 61 females, aged (53.62±9.97) years old] from the First Affiliate Hospital of Nanjing Medical University from June 2020 to December 2020. AABs were detected by enzyme-linked-immunosorbent serologic assay (ELISA), and carcinoembryonic antigen (CEA),cytokeratin 19-fragments (CYFRA21-1) and neuron specific enolase (NSE) were detected by electrochemiluminescence. The levels of AABs,CEA,CYFRA21-1 and NSE in the 3 groups were compared. Patients with benign lung diseases and healthy subjects were combined into the control group, and the positive rate of each indicator in the NSCLC group and the control group was compared. The diagnostic efficacy of single and combined tests for NSCLC were obtained using receiver operating characteristic (ROC) curves. Besides, the relationship between the levels of AABs, CEA, CYFRA21-1 and NSE and their clinicopathological features and preoperative imaging parameters in NSCLC patients was assessed. Results: The levels of SOX2 [0.70 (0.10, 2.40) U/mL] and GBU4-5 [1.30 (0.30, 8.90) U/mL] in NSCLC group were higher than those in benign disease group [SOX2: 0.50 (0.10, 1.60) U/mL, GBU4-5: 0.80 (0.10, 2.30) U/mL, Z values were 27.258 and 45.797; P values were all<0.05] and health control group [SOX2: 0.45 (0.10, 1.08) U/mL, GBU4-5: 0.75 (0.20, 1.78) U/mL, Z values were 32.551 and 40.456; P values were all<0.05], and there was no significant difference between benign disease group and health control group (Z values were 5.293 and 5.340, P values were all>0.05). The levels of CEA [1.75 (1.08, 2.72) U/mL] and CYFRA21-1 [1.81 (1.41, 2.36) U/mL] in NSCLC group were higher than those in healthy control group [CEA: 1.22 (0.68, 1.81) U/mL, CYFRA21-1: 1.43 (1.14, 1.74) U/mL, Z values were 64.100 and 37.597; P values were all<0.05], but there was no significant difference between NSCLC group and benign group [CEA: 1.74 (1.01, 2.51) U/mL, CYFRA21-1: 1.82 (1.45, 2.46) U/mL, Z values were 7.275 and 10.621; P values were all>0.05]. The positive rates of P53, SOX2, GAGE7, GBU4-5 and CEA in NSCLC group were higher than those in the control group [P53: 10.3% vs 0.9%, SOX2: 11.3% vs 2.3%, GAGE7: 11.3% vs 0.5%, GBU4-5: 30.1% vs 5.6%, CEA: 9.7% vs 0.9%, χ2 values were 17.420, 13.242, 22.485, 43.211, 16.255, respectively; P values were all<0.05]. The diagnostic efficiency of the combined detection of seven AABs was better than that of single detection. Seven AABs combined with CEA [area under curve (AUC): 0.732, sensitivity: 64.10%] and with CYFRA21-1 (AUC: 0.737, sensitivity: 58.97%) greatly improved the diagnostic efficiency and sensitivity of CEA (AUC: 0.583, sensitivity: 50.77%) and CYFRA21-1 (AUC: 0.552, sensitivity: 44.10%). The levels of SOX2 and CEA in NSCLC patients were correlated with the degree of tumor invasion (H values were 6.436 and 14.071; P values were all<0.05); the levels of GAGE7 and CEA were correlated with the nodule density (H values were 7.643 and 12.268; P values were all<0.05); and the levels of SOX2, GAGE7, CEA and CYFRA21-1 were all correlated with the nodule size (H values were 10.837, 11.528, 31.835, 20.338; P values were all<0.05). Conclusion: The detection of AABs combined with CEA and CYFRA21-1 is helpful for the early auxiliary diagnosis of NSCLC, and plays an important role in prevention and screening for early lung cancer.
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Abratenko P, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Book JY, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Cianci D, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Dennis SR, Devitt D, Diurba R, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Evans JJ, Fine R, Fiorentini Aguirre GA, Fitzpatrick RS, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hall E, Hen O, Horton-Smith GA, Hourlier A, Itay R, James C, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kamp N, Kaneshige N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Lin K, Littlejohn BR, Louis WC, Luo X, Manivannan K, Mariani C, Marsden D, Marshall J, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor AF, Moore CD, Mora Lepin L, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Neely RK, Nowak J, Nunes M, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate SF, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rice LCJ, Rochester L, Rodriguez Rondon J, Rogers HE, Rosenberg M, Ross-Lonergan M, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Siegel H, Sinclair J, Smith A, Snider EL, Soderberg M, Söldner-Rembold S, Spentzouris P, Spitz J, Stancari M, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc AM, Tagg N, Tang W, Terao K, Thorpe C, Totani D, Toups M, Tsai YT, Uchida MA, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wright N, Wu W, Yandel E, Yang T, Yarbrough G, Yates LE, Zeller GP, Zennamo J, Zhang C. Search for a Higgs Portal Scalar Decaying to Electron-Positron Pairs in the MicroBooNE Detector. PHYSICAL REVIEW LETTERS 2021; 127:151803. [PMID: 34678031 DOI: 10.1103/physrevlett.127.151803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 08/11/2021] [Accepted: 09/10/2021] [Indexed: 06/13/2023]
Abstract
We present a search for the decays of a neutral scalar boson produced by kaons decaying at rest, in the context of the Higgs portal model, using the MicroBooNE detector. We analyze data triggered in time with the Fermilab NuMI neutrino beam spill, with an exposure of 1.93×10^{20} protons on target. We look for monoenergetic scalars that come from the direction of the NuMI hadron absorber, at a distance of 100 m from the detector, and decay to electron-positron pairs. We observe one candidate event, with a standard model background prediction of 1.9±0.8. We set an upper limit on the scalar-Higgs mixing angle of θ<(3.3-4.6)×10^{-4} at the 95% confidence level for scalar boson masses in the range (100-200) MeV/c^{2}. We exclude, at the 95% confidence level, the remaining model parameters required to explain the central value of a possible excess of K_{L}^{0}→π^{0}νν[over ¯] decays reported by the KOTO collaboration. We also provide a model-independent limit on a new boson X produced in K→πX decays and decaying to e^{+}e^{-}.
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Abratenko P, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Conrad J, Convery M, Cooper-Troendle L, Crespo-Anadón J, Del Tutto M, Dennis S, Devitt D, Diurba R, Domine L, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Evans J, Fiorentini Aguirre G, Fitzpatrick R, Fleming B, Foppiani N, Franco D, Furmanski A, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hall E, Hamilton P, Hen O, Hill C, Horton-Smith G, Hourlier A, Itay R, James C, Jan de Vries J, Ji X, Jiang L, Jo J, Johnson R, Jwa YJ, Kamp N, Kaneshige N, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Littlejohn B, Lorca D, Louis W, Luo X, Marchionni A, Mariani C, Marsden D, Marshall J, Martin-Albo J, Martinez Caicedo D, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor A, Moore C, Mora Lepin L, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Neely R, Nienaber P, Nowak J, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate S, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto I, Porzio D, Prince S, Qian X, Raaf J, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rogers H, Rosenberg M, Ross-Lonergan M, Russell B, Scanavini G, Schmitz D, Schukraft A, Seligman W, Shaevitz M, Sharankova R, Sinclair J, Smith A, Snider E, Soderberg M, Söldner-Rembold S, Soleti S, Spentzouris P, Spitz J, Stancari M, John J, Strauss T, Sutton K, Sword-Fehlberg S, Szelc A, Tagg N, Tang W, Terao K, Thorpe C, Toups M, Tsai YT, Uchida M, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wu W, Yandel E, Yang T, Yarbrough G, Yates L, Zeller G, Zennamo J, Zhang C. Measurement of the flux-averaged inclusive charged-current electron neutrino and antineutrino cross section on argon using the NuMI beam and the MicroBooNE detector. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.104.052002] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Johnson M, Doi T, Piha-Paul S, Sen S, Shimizu T, Cheng B, Yoshizuka N, Okamoto N, Okuda Y, Qian X, Serbest G, Hammett T, Brady W, Patel M, Bendell J. 513O A phase I/II multicenter, first-in-human study of DS-7300 (B7-H3 DXd-ADC) in patients (pts) with advanced solid tumors. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Acciarri R, Adams C, Andreopoulos C, Asaadi J, Babicz M, Backhouse C, Badgett W, Bagby L, Barker D, Basque V, Bazetto MCQ, Betancourt M, Bhanderi A, Bhat A, Bonifazi C, Brailsford D, Brandt AG, Brooks T, Carneiro MF, Chen Y, Chen H, Chisnall G, Crespo-Anadón JI, Cristaldo E, Cuesta C, de Icaza Astiz IL, De Roeck A, de Sá Pereira G, Del Tutto M, Di Benedetto V, Ereditato A, Evans JJ, Ezeribe AC, Fitzpatrick RS, Fleming BT, Foreman W, Franco D, Furic I, Furmanski AP, Gao S, Garcia-Gamez D, Frandini H, Ge G, Gil-Botella I, Gollapinni S, Goodwin O, Green P, Griffith WC, Guenette R, Guzowski P, Ham T, Henzerling J, Holin A, Howard B, Jones RS, Kalra D, Karagiorgi G, Kashur L, Ketchum W, Kim MJ, Kudryavtsev VA, Larkin J, Lay H, Lepetic I, Littlejohn BR, Louis WC, Machado AA, Malek M, Mardsen D, Mariani C, Marinho F, Mastbaum A, Mavrokoridis K, McConkey N, Meddage V, Méndez DP, Mettler T, Mistry K, Mogan A, Molina J, Mooney M, Mora L, Moura CA, Mousseau J, Navrer-Agasson A, Nicolas-Arnaldos FJ, Nowak JA, Palamara O, Pandey V, Pater J, Paulucci L, Pimentel VL, Psihas F, Putnam G, Qian X, Raguzin E, Ray H, Reggiani-Guzzo M, Rivera D, Roda M, Ross-Lonergan M, Scanavini G, Scarff A, Schmitz DW, Schukraft A, Segreto E, Soares Nunes M, Soderberg M, Söldner-Rembold S, Spitz J, Spooner NJC, Stancari M, Stenico GV, Szelc A, Tang W, Tena Vidal J, Torretta D, Toups M, Touramanis C, Tripathi M, Tufanli S, Tyley E, Valdiviesso GA, Worcester E, Worcester M, Yarbrough G, Yu J, Zamorano B, Zennamo J, Zglam A. Cosmic Ray Background Removal With Deep Neural Networks in SBND. Front Artif Intell 2021; 4:649917. [PMID: 34505055 PMCID: PMC8421797 DOI: 10.3389/frai.2021.649917] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 03/23/2021] [Indexed: 11/13/2022] Open
Abstract
In liquid argon time projection chambers exposed to neutrino beams and running on or near surface levels, cosmic muons, and other cosmic particles are incident on the detectors while a single neutrino-induced event is being recorded. In practice, this means that data from surface liquid argon time projection chambers will be dominated by cosmic particles, both as a source of event triggers and as the majority of the particle count in true neutrino-triggered events. In this work, we demonstrate a novel application of deep learning techniques to remove these background particles by applying deep learning on full detector images from the SBND detector, the near detector in the Fermilab Short-Baseline Neutrino Program. We use this technique to identify, on a pixel-by-pixel level, whether recorded activity originated from cosmic particles or neutrino interactions.
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Jin F, Qian X, Ni F, Pan SY. [Risk factors and risk model of lymph node metastasis in early gastric cancer]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2021; 55:990-994. [PMID: 34445838 DOI: 10.3760/cma.j.cn112150-20200805-01095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
To investigate the risk factors of lymph node metastasis in early gastric cancer (EGC) and to develop a risk model for the presence of lymph node metastasis. A total of 172 EGC patients, with a median age of 62(52, 68) years, who underwent gastric cancer resection in the First Affiliated Hospital of Nanjing Medical University from January 2017 to June 2019 were selected. Clinical data of the patients were collected through the case system. Logistic regression analysis was used to determine the variables significantly related to lymph node metastasis. ROC curve and calibration curve were used to evaluate the risk model. The results showed that the lymph node metastasis rate of 172 EGC patients was 19.19% (33/172). Tumor size, depth of invasion, degree of differentiation and vascular tumor thrombus were associated with lymph node metastasis (P<0.05), but age ≥ 60 years (OR=5.556, 95%CI: 1.757-17.569, P=0.004), invasion depth (OR=4.218,95%CI:1.418-12.548, P=0.010) and vascular cancer embolus (OR=13.878,95%CI:4.081-47.196,P<0.001) were independent risk factors for lymph node metastasis of EGC. The consistency index of the risk model based on the above risk factors was 0.8835 (95%CI: 0.818 8-0.948 2). The calibration curve shows that the risk assessment model is in good agreement with the actual results, indicating that the model has high accuracy and discrimination.The most common site of metastasis was group 3, followed by group 4. Therefore, patients over 60 years old with submucosal invasion and vascular tumor thrombus may have a higher risk of lymph node metastasis.
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Wuu C, Wang Y, Qian X, Na Y, Adamovics J, Xu A. PH-0601 3D dosimetry with a novel fast optical CT scanner utilizing fiber optic taper for collimated images. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)07373-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Amenomori M, Bao YW, Bi XJ, Chen D, Chen TL, Chen WY, Chen X, Chen Y, Cui SW, Ding LK, Fang JH, Fang K, Feng CF, Feng Z, Feng ZY, Gao Q, Gomi A, Gou QB, Guo YQ, Guo YY, He HH, He ZT, Hibino K, Hotta N, Hu H, Hu HB, Huang J, Jia HY, Jiang L, Jiang P, Jin HB, Kasahara K, Katayose Y, Kato C, Kato S, Kawata K, Kozai M, Kurashige D, Le GM, Li AF, Li HJ, Li WJ, Li Y, Lin YH, Liu B, Liu C, Liu JS, Liu LY, Liu MY, Liu W, Liu XL, Lou YQ, Lu H, Meng XR, Munakata K, Nakada H, Nakamura Y, Nakazawa Y, Nanjo H, Ning CC, Nishizawa M, Ohnishi M, Ohura T, Okukawa S, Ozawa S, Qian L, Qian X, Qian XL, Qu XB, Saito T, Sakata M, Sako T, Sako TK, Shao J, Shibata M, Shiomi A, Sugimoto H, Takano W, Takita M, Tan YH, Tateyama N, Torii S, Tsuchiya H, Udo S, Wang H, Wang YP, Wu HR, Wu Q, Xu JL, Xue L, Yamamoto Y, Yang Z, Yao YQ, Yin J, Yokoe Y, Yu NP, Yuan AF, Zhai LM, Zhang CP, Zhang HM, Zhang JL, Zhang X, Zhang XY, Zhang Y, Zhang Y, Zhang Y, Zhao SP, Zhou XX. Gamma-Ray Observation of the Cygnus Region in the 100-TeV Energy Region. PHYSICAL REVIEW LETTERS 2021; 127:031102. [PMID: 34328784 DOI: 10.1103/physrevlett.127.031102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 04/30/2021] [Accepted: 06/15/2021] [Indexed: 06/13/2023]
Abstract
We report observations of gamma-ray emissions with energies in the 100-TeV energy region from the Cygnus region in our Galaxy. Two sources are significantly detected in the directions of the Cygnus OB1 and OB2 associations. Based on their positional coincidences, we associate one with a pulsar PSR J2032+4127 and the other mainly with a pulsar wind nebula PWN G75.2+0.1, with the pulsar moving away from its original birthplace situated around the centroid of the observed gamma-ray emission. This work would stimulate further studies of particle acceleration mechanisms at these gamma-ray sources.
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Ni Z, Haglund AV, Wang H, Xu B, Bernhard C, Mandrus DG, Qian X, Mele EJ, Kane CL, Wu L. Imaging the Néel vector switching in the monolayer antiferromagnet MnPSe 3 with strain-controlled Ising order. NATURE NANOTECHNOLOGY 2021; 16:782-787. [PMID: 33875873 DOI: 10.1038/s41565-021-00885-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 03/02/2021] [Indexed: 06/12/2023]
Abstract
Antiferromagnets are interesting materials for spintronics because of their faster dynamics and robustness against perturbations from magnetic fields. Control of the antiferromagnetic order constitutes an important step towards applications, but has been limited to bulk materials so far. Here, using spatially resolved second-harmonic generation, we show direct evidence of long-range antiferromagnetic order and Ising-type Néel vector switching in monolayer MnPSe3 with large XY anisotropy. In additional to thermally induced switching, uniaxial strain can rotate the Néel vector, aligning it to a general in-plane direction irrespective of the crystal axes. A change of the universality class of the phase transition in the XY model under uniaxial strain causes this emergence of strain-controlled Ising order in the XY magnet MnPSe3. Our discovery is a further ingredient for compact antiferromagnetic spintronic devices in the two-dimensional limit.
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Li W, Zhao W, Wang J, Zhang X, Qian X, Gu R, He G. Identification of a novel variant p.Ser606Gly in SCN3A associated with childhood absence epilepsy. Epilepsy Res 2021; 175:106682. [PMID: 34102392 DOI: 10.1016/j.eplepsyres.2021.106682] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 05/14/2021] [Accepted: 05/31/2021] [Indexed: 10/21/2022]
Abstract
Sodium (Na+) channels are the basis for action potential generation and propagation, which play a key role in the regulation of neuronal excitability. SCN3A is a gene encoding for sodium channel protein type 3 subunit alpha (or known as Nav1.3). This study aimed to explore SCN3A genetic variants in a cohort of childhood absence epilepsy (CAE) via whole exome sequencing. A novel SCN3A missense variant (c.A1816G, p.Ser606Gly) was identified in a patient with CAE. This variant had not been reported in both 1000G and ExAC databases. Bioinformatics analysis revealed that this variant was pathogenic and could transform the protein structure of Nav1.3. The reported phenotypes of SCN3A-related central nerve system disorders included multiple seizure types, polymicrogyria and different degrees of developmental delay/intellectual disability. The patient with p.Ser606Gly variant exhibited typical absence seizures. The MRI and CT scan results were normal, and EEG showed that 3-Hz spike-slow wave discharges. In conclusion, our findings not only broaden the pathogenic spectrum of SCN3A, but also extend the clinical phenotypes of SCN3A-related CAE.
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Abratenko P, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Conrad J, Convery M, Cooper-Troendle L, Crespo-Anadón J, Del Tutto M, Devitt D, Diurba R, Domine L, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Evans J, Fiorentini Aguirre G, Fitzpatrick R, Fleming B, Foppiani N, Franco D, Furmanski A, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hall E, Hamilton P, Hen O, Horton-Smith G, Hourlier A, Huang EC, Itay R, James C, Jan de Vries J, Ji X, Jiang L, Jo J, Johnson R, Jwa YJ, Kamp N, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Littlejohn B, Lorca D, Louis W, Luo X, Marchionni A, Marcocci S, Mariani C, Marsden D, Marshall J, Martin-Albo J, Martinez Caicedo D, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor A, Moore C, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Neely R, Nienaber P, Nowak J, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate S, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto I, Porzio D, Prince S, Qian X, Raaf J, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rogers H, Rosenberg M, Ross-Lonergan M, Russell B, Scanavini G, Schmitz D, Schukraft A, Shaevitz M, Sharankova R, Sinclair J, Smith A, Snider E, Soderberg M, Söldner-Rembold S, Soleti S, Spentzouris P, Spitz J, Stancari M, John J, Strauss T, Sutton K, Sword-Fehlberg S, Szelc A, Tagg N, Tang W, Terao K, Thorpe C, Toups M, Tsai YT, Tufanli S, Uchida M, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wu W, Yang T, Yarbrough G, Yates L, Zeller G, Zennamo J, Zhang C. Convolutional neural network for multiple particle identification in the MicroBooNE liquid argon time projection chamber. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.103.092003] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Qian X, Wang H, Ren Z, Jin F, Pan SY. [The value of NLR, FIB, CEA and CA19-9 in colorectal cancer]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2021; 55:499-505. [PMID: 33858062 DOI: 10.3760/cma.j.cn112150-20200805-01094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the clinical value of neutrophil-lymphocyte ratio (NLR), fibrinogen (FIB), carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) in the diagnosis and prognosis of colorectal cancer. Methods: A case-control study design was used to select 155 patients with colorectal cancer[98 males and 57 females, aged (63.12±13.99)years old], 90 patients with colorectal polyps[62 males and 28 females, aged (56.86±12.74)years old] and 150 healthy subjects[93 males and 57 females, aged (57.02±10.91)years old] from the First Affiliated Hospital of Nanjing Medical University from October 2017 to March 2018. Blood routine tests were detected by instrument method, FIB was detected by Clauss method, and CEA and CA19-9 were detected by electrochemiluminescence method. The levels of the NLR, FIB, CEA and CA19-9 in the 3 groups were compared. The diagnostic efficacy of NLR, FIB, CEA and CA19-9 of colorectal cancer was compared according to the ROC curve. The relationship between the level of NLR, FIB, CEA and CA19-9 and their clinicopathological features in colorectal cancer patients was assessed. According to the median levels of NLR, FIB, CEA and CA19-9, 112 follow-up of colorectal cancer patients could be divided into the high-value group and the low-value group. Kaplan-Meier, log-rank test and Cox regression analysis were used to analyze the relationship between the levels of the four indicators and the prognosis of colorectal cancer. Results: The levels of NLR, FIB, CEA and CA19-9 in colorectal cancer group were 2.11(1.52, 2.86), 3.21(2.58, 3.86)g/L, 3.93(2.27, 8.78)μg/L, 15.11(9.10, 25.73)U/ml. The levels of NLR, FIB, CEA and CA19-9 in colorectal polyp group were 1.74(1.39, 2.17), 2.54(2.26, 3.03)g/L, 1.99(1.18, 2.70)μg/L, 9.83(6.13, 15.68)U/ml. The levels of NLR, FIB, CEA and CA19-9 in healthy control group were 1.68(1.33, 2.28), 2.56(2.30, 2.82)g/L, 1.85(1.28, 2.59)μg/L, 10.03(6.86, 13.26)U/ml. The levels of NLR, FIB, CEA and CA19-9 in colorectal cancer group were significantly higher than those in colorectal polyp group (Z values were 3.568, 5.913, 6.880 and 4.022,P values were all<0.05) and healthy control group(Z values were 3.916, 7.381, 9.131 and 5.251,P values were all<0.05). The levels of NLR, FIB, CEA and CA19-9 in colorectal polyp group were not remarkably different from those in healthy control group (Z values were 0.217, 0.179, 0.320 and 0.061,P values were all>0.05). The diagnostic performance of CEA was the best in single test, followed by FIB, CA19-9 and NLR. The sensitivity of combined NLR+FIB+CEA or NLR+FIB+CEA+CA19-9 was the highest with 72.3%. NLR and FIB levels were associated with tumor sites (Z values were 3.587 and 7.089,P values were both<0.05). FIB and CEA levels were correlated with the depth of tumor invasion (Z values were 3.250 and 3.245, P values were both <0.05). NLR, FIB, CEA and CA19-9 levels were both associated with lymph node metastasis (Z values were 2.010, 3.276, 3.312 and 2.921, P values were all<0.05). The prognosis of patients in the high-value NLR, FIB, CEA and CA19-9 groups was significantly worse than that in the low-value group (χ2 values were 5.744, 6.048, 4.389 and 6.942,P values were all<0.05).Cox multivariate regression analysis showed lymph node metastasis, NLR >2.15 and CA19-9 >15.47 U/ml are independent factors affecting the prognosis of colorectal cancer. Conclusion: NLR, FIB, CEA and CA19-9 can be applied in the auxiliary diagnosis and prognosis of colorectal cancer.
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Abi B, Acciarri R, Acero MA, Adamov G, Adams D, Adinolfi M, Ahmad Z, Ahmed J, Alion T, Monsalve SA, Alt C, Anderson J, Andreopoulos C, Andrews MP, Andrianala F, Andringa S, Ankowski A, Antonova M, Antusch S, Aranda-Fernandez A, Ariga A, Arnold LO, Arroyave MA, Asaadi J, Aurisano A, Aushev V, Autiero D, Azfar F, Back H, Back JJ, Backhouse C, Baesso P, Bagby L, Bajou R, Balasubramanian S, Baldi P, Bambah B, Barao F, Barenboim G, Barker GJ, Barkhouse W, Barnes C, Barr G, Monarca JB, Barros N, Barrow JL, Bashyal A, Basque V, Bay F, Alba JLB, Beacom JF, Bechetoille E, Behera B, Bellantoni L, Bellettini G, Bellini V, Beltramello O, Belver D, Benekos N, Neves FB, Berger J, Berkman S, Bernardini P, Berner RM, Berns H, Bertolucci S, Betancourt M, Bezawada Y, Bhattacharjee M, Bhuyan B, Biagi S, Bian J, Biassoni M, Biery K, Bilki B, Bishai M, Bitadze A, Blake A, Siffert BB, Blaszczyk FDM, Blazey GC, Blucher E, Boissevain J, Bolognesi S, Bolton T, Bonesini M, Bongrand M, Bonini F, Booth A, Booth C, Bordoni S, Borkum A, Boschi T, Bostan N, Bour P, Boyd SB, Boyden D, Bracinik J, Braga D, Brailsford D, Brandt A, Bremer J, Brew C, Brianne E, Brice SJ, Brizzolari C, Bromberg C, Brooijmans G, Brooke J, Bross A, Brunetti G, Buchanan N, Budd H, Caiulo D, Calafiura P, Calcutt J, Calin M, Calvez S, Calvo E, Camilleri L, Caminata A, Campanelli M, Caratelli D, Carini G, Carlus B, Carniti P, Terrazas IC, Carranza H, Castillo A, Castromonte C, Cattadori C, Cavalier F, Cavanna F, Centro S, Cerati G, Cervelli A, Villanueva AC, Chalifour M, Chang C, Chardonnet E, Chatterjee A, Chattopadhyay S, Chaves J, Chen H, Chen M, Chen Y, Cherdack D, Chi C, Childress S, Chiriacescu A, Cho K, Choubey S, Christensen A, Christian D, Christodoulou G, Church E, Clarke P, Coan TE, Cocco AG, Coelho JAB, Conley E, Conrad JM, Convery M, Corwin L, Cotte P, Cremaldi L, Cremonesi L, Crespo-Anadón JI, Cristaldo E, Cross R, Cuesta C, Cui Y, Cussans D, Dabrowski M, da Motta H, Peres LDS, David C, David Q, Davies GS, Davini S, Dawson J, De K, De Almeida RM, Debbins P, De Bonis I, Decowski MP, de Gouvêa A, De Holanda PC, De Icaza Astiz IL, Deisting A, De Jong P, Delbart A, Delepine D, Delgado M, Dell’Acqua A, De Lurgio P, de Mello Neto JRT, DeMuth DM, Dennis S, Densham C, Deptuch G, De Roeck A, De Romeri V, De Vries JJ, Dharmapalan R, Dias M, Diaz F, Díaz JS, Di Domizio S, Di Giulio L, Ding P, Di Noto L, Distefano C, Diurba R, Diwan M, Djurcic Z, Dokania N, Dolinski MJ, Domine L, Douglas D, Drielsma F, Duchesneau D, Duffy K, Dunne P, Durkin T, Duyang H, Dvornikov O, Dwyer DA, Dyshkant AS, Eads M, Edmunds D, Eisch J, Emery S, Ereditato A, Escobar CO, Sanchez LE, Evans JJ, Ewart E, Ezeribe AC, Fahey K, Falcone A, Farnese C, Farzan Y, Felix J, Fernandez-Martinez E, Fernandez Menendez P, Ferraro F, Fields L, Filkins A, Filthaut F, Fitzpatrick RS, Flanagan W, Fleming B, Flight R, Fowler J, Fox W, Franc J, Francis K, Franco D, Freeman J, Freestone J, Fried J, Friedland A, Fuess S, Furic I, Furmanski AP, Gago A, Gallagher H, Gallego-Ros A, Gallice N, Galymov V, Gamberini E, Gamble T, Gandhi R, Gandrajula R, Gao S, Garcia-Gamez D, García-Peris MÁ, Gardiner S, Gastler D, Ge G, Gelli B, Gendotti A, Gent S, Ghorbani-Moghaddam Z, Gibin D, Gil-Botella I, Girerd C, Giri AK, Gnani D, Gogota O, Gold M, Gollapinni S, Gollwitzer K, Gomes RA, Bermeo LVG, Fajardo LSG, Gonnella F, Gonzalez-Cuevas JA, Goodman MC, Goodwin O, Goswami S, Gotti C, Goudzovski E, Grace C, Graham M, Gramellini E, Gran R, Granados E, Grant A, Grant C, Gratieri D, Green P, Green S, Greenler L, Greenwood M, Greer J, Griffith WC, Groh M, Grudzinski J, Grzelak K, Gu W, Guarino V, Guenette R, Guglielmi A, Guo B, Guthikonda KK, Gutierrez R, Guzowski P, Guzzo MM, Gwon S, Habig A, Hackenburg A, Hadavand H, Haenni R, Hahn A, Haigh J, Haiston J, Hamernik T, Hamilton P, Han J, Harder K, Harris DA, Hartnell J, Hasegawa T, Hatcher R, Hazen E, Heavey A, Heeger KM, Heise J, Hennessy K, Henry S, Morquecho MAH, Herner K, Hertel L, Hesam AS, Hewes J, Higuera A, Hill T, Hillier SJ, Himmel A, Hoff J, Hohl C, Holin A, Hoppe E, Horton-Smith GA, Hostert M, Hourlier A, Howard B, Howell R, Huang J, Huang J, Hugon J, Iles G, Ilic N, Iliescu AM, Illingworth R, Ioannisian A, Itay R, Izmaylov A, James E, Jargowsky B, Jediny F, Jesùs-Valls C, Ji X, Jiang L, Jiménez S, Jipa A, Joglekar A, Johnson C, Johnson R, Jones B, Jones S, Jung CK, Junk T, Jwa Y, Kabirnezhad M, Kaboth A, Kadenko I, Kamiya F, Karagiorgi G, Karcher A, Karolak M, Karyotakis Y, Kasai S, Kasetti SP, Kashur L, Kazaryan N, Kearns E, Keener P, Kelly KJ, Kemp E, Ketchum W, Kettell SH, Khabibullin M, Khotjantsev A, Khvedelidze A, Kim D, King B, Kirby B, Kirby M, Klein J, Koehler K, Koerner LW, Kohn S, Koller PP, Kordosky M, Kosc T, Kose U, Kostelecký VA, Kothekar K, Krennrich F, Kreslo I, Kudenko Y, Kudryavtsev VA, Kulagin S, Kumar J, Kumar R, Kuruppu C, Kus V, Kutter T, Lambert A, Lande K, Lane CE, Lang K, Langford T, Lasorak P, Last D, Lastoria C, Laundrie A, Lawrence A, Lazanu I, LaZur R, Le T, Learned J, LeBrun P, Miotto GL, Lehnert R, de Oliveira MAL, Leitner M, Leyton M, Li L, Li S, Li SW, Li T, Li Y, Liao H, Lin CS, Lin S, Lister A, Littlejohn BR, Liu J, Lockwitz S, Loew T, Lokajicek M, Lomidze I, Long K, Loo K, Lorca D, Lord T, LoSecco JM, Louis WC, Luk KB, Luo X, Lurkin N, Lux T, Luzio VP, MacFarland D, Machado AA, Machado P, Macias CT, Macier JR, Maddalena A, Madigan P, Magill S, Mahn K, Maio A, Maloney JA, Mandrioli G, Maneira J, Manenti L, Manly S, Mann A, Manolopoulos K, Plata MM, Marchionni A, Marciano W, Marfatia D, Mariani C, Maricic J, Marinho F, Marino AD, Marshak M, Marshall C, Marshall J, Marteau J, Martin-Albo J, Martinez N, Caicedo DAM, Martynenko S, Mason K, Mastbaum A, Masud M, Matsuno S, Matthews J, Mauger C, Mauri N, Mavrokoridis K, Mazza R, Mazzacane A, Mazzucato E, McCluskey E, McConkey N, McFarland KS, McGrew C, McNab A, Mefodiev A, Mehta P, Melas P, Mellinato M, Mena O, Menary S, Mendez H, Menegolli A, Meng G, Messier MD, Metcalf W, Mewes M, Meyer H, Miao T, Michna G, Miedema T, Migenda J, Milincic R, Miller W, Mills J, Milne C, Mineev O, Miranda OG, Miryala S, Mishra CS, Mishra SR, Mislivec A, Mladenov D, Mocioiu I, Moffat K, Moggi N, Mohanta R, Mohayai TA, Mokhov N, Molina J, Bueno LM, Montanari A, Montanari C, Montanari D, Zetina LMM, Moon J, Mooney M, Moor A, Moreno D, Morgan B, Morris C, Mossey C, Motuk E, Moura CA, Mousseau J, Mu W, Mualem L, Mueller J, Muether M, Mufson S, Muheim F, Muir A, Mulhearn M, Muramatsu H, Murphy S, Musser J, Nachtman J, Nagu S, Nalbandyan M, Nandakumar R, Naples D, Narita S, Navas-Nicolás D, Nayak N, Nebot-Guinot M, Necib L, Negishi K, Nelson JK, Nesbit J, Nessi M, Newbold D, Newcomer M, Newhart D, Nichol R, Niner E, Nishimura K, Norman A, Norrick A, Northrop R, Novella P, Nowak JA, Oberling M, Del Campo AO, Olivier A, Onel Y, Onishchuk Y, Ott J, Pagani L, Pakvasa S, Palamara O, Palestini S, Paley JM, Pallavicini M, Palomares C, Pantic E, Paolone V, Papadimitriou V, Papaleo R, Papanestis A, Paramesvaran S, Park JC, Parke S, Parsa Z, Parvu M, Pascoli S, Pasqualini L, Pasternak J, Pater J, Patrick C, Patrizii L, Patterson RB, Patton SJ, Patzak T, Paudel A, Paulos B, Paulucci L, Pavlovic Z, Pawloski G, Payne D, Pec V, Peeters SJM, Penichot Y, Pennacchio E, Penzo A, Peres OLG, Perry J, Pershey D, Pessina G, Petrillo G, Petta C, Petti R, Piastra F, Pickering L, Pietropaolo F, Pillow J, Pinzino J, Plunkett R, Poling R, Pons X, Poonthottathil N, Pordes S, Potekhin M, Potenza R, Potukuchi BVKS, Pozimski J, Pozzato M, Prakash S, Prakash T, Prince S, Prior G, Pugnere D, Qi K, Qian X, Raaf JL, Raboanary R, Radeka V, Rademacker J, Radics B, Rafique A, Raguzin E, Rai M, Rajaoalisoa M, Rakhno I, Rakotondramanana HT, Rakotondravohitra L, Ramachers YA, Rameika R, Delgado MAR, Ramson B, Rappoldi A, Raselli G, Ratoff P, Ravat S, Razafinime H, Real JS, Rebel B, Redondo D, Reggiani-Guzzo M, Rehak T, Reichenbacher J, Reitzner SD, Renshaw A, Rescia S, Resnati F, Reynolds A, Riccobene G, Rice LCJ, Rielage K, Rigaut Y, Rivera D, Rochester L, Roda M, Rodrigues P, Alonso MJR, Rondon JR, Roeth AJ, Rogers H, Rosauro-Alcaraz S, Rossella M, Rout J, Roy S, Rubbia A, Rubbia C, Russell B, Russell J, Ruterbories D, Saakyan R, Sacerdoti S, Safford T, Sahu N, Sala P, Samios N, Sanchez MC, Sanders DA, Sankey D, Santana S, Santos-Maldonado M, Saoulidou N, Sapienza P, Sarasty C, Sarcevic I, Savage G, Savinov V, Scaramelli A, Scarff A, Scarpelli A, Schaffer T, Schellman H, Schlabach P, Schmitz D, Scholberg K, Schukraft A, Segreto E, Sensenig J, Seong I, Sergi A, Sergiampietri F, Sgalaberna D, Shaevitz MH, Shafaq S, Shamma M, Sharma HR, Sharma R, Shaw T, Shepherd-Themistocleous C, Shin S, Shooltz D, Shrock R, Simard L, Simos N, Sinclair J, Sinev G, Singh J, Singh J, Singh V, Sipos R, Sippach FW, Sirri G, Sitraka A, Siyeon K, Smargianaki D, Smith A, Smith A, Smith E, Smith P, Smolik J, Smy M, Snopok P, Nunes MS, Sobel H, Soderberg M, Salinas CJS, Söldner-Rembold S, Solomey N, Solovov V, Sondheim WE, Sorel M, Soto-Oton J, Sousa A, Soustruznik K, Spagliardi F, Spanu M, Spitz J, Spooner NJC, Spurgeon K, Staley R, Stancari M, Stanco L, Steiner HM, Stewart J, Stillwell B, Stock J, Stocker F, Stocks D, Stokes T, Strait M, Strauss T, Striganov S, Stuart A, Summers D, Surdo A, Susic V, Suter L, Sutera CM, Svoboda R, Szczerbinska B, Szelc AM, Talaga R, Tanaka HA, Oregui BT, Tapper A, Tariq S, Tatar E, Tayloe R, Teklu AM, Tenti M, Terao K, Ternes CA, Terranova F, Testera G, Thea A, Thompson JL, Thorn C, Timm SC, Todd J, Tonazzo A, Torti M, Tortola M, Tortorici F, Totani D, Toups M, Touramanis C, Trevor J, Trzaska WH, Tsai YT, Tsamalaidze Z, Tsang KV, Tsverava N, Tufanli S, Tull C, Tyley E, Tzanov M, Uchida MA, Urheim J, Usher T, Vagins MR, Vahle P, Valdiviesso GA, Valencia E, Vallari Z, Valle JWF, Vallecorsa S, Berg RV, de Water RGV, Forero DV, Varanini F, Vargas D, Varner G, Vasel J, Vasseur G, Vaziri K, Ventura S, Verdugo A, Vergani S, Vermeulen MA, Verzocchi M, de Souza HV, Vignoli C, Vilela C, Viren B, Vrba T, Wachala T, Waldron AV, Wallbank M, Wang H, Wang J, Wang Y, Wang Y, Warburton K, Warner D, Wascko M, Waters D, Watson A, Weatherly P, Weber A, Weber M, Wei H, Weinstein A, Wenman D, Wetstein M, While MR, White A, Whitehead LH, Whittington D, Wilking MJ, Wilkinson C, Williams Z, Wilson F, Wilson RJ, Wolcott J, Wongjirad T, Wood K, Wood L, Worcester E, Worcester M, Wret C, Wu W, Wu W, Xiao Y, Yang G, Yang T, Yershov N, Yonehara K, Young T, Yu B, Yu J, Zaki R, Zalesak J, Zambelli L, Zamorano B, Zani A, Zazueta L, Zeller GP, Zennamo J, Zeug K, Zhang C, Zhao M, Zhao Y, Zhivun E, Zhu G, Zimmerman ED, Zito M, Zucchelli S, Zuklin J, Zutshi V, Zwaska R. Prospects for beyond the Standard Model physics searches at the Deep Underground Neutrino Experiment: DUNE Collaboration. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2021; 81:322. [PMID: 34720713 PMCID: PMC8550327 DOI: 10.1140/epjc/s10052-021-09007-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 02/23/2021] [Indexed: 06/13/2023]
Abstract
The Deep Underground Neutrino Experiment (DUNE) will be a powerful tool for a variety of physics topics. The high-intensity proton beams provide a large neutrino flux, sampled by a near detector system consisting of a combination of capable precision detectors, and by the massive far detector system located deep underground. This configuration sets up DUNE as a machine for discovery, as it enables opportunities not only to perform precision neutrino measurements that may uncover deviations from the present three-flavor mixing paradigm, but also to discover new particles and unveil new interactions and symmetries beyond those predicted in the Standard Model (SM). Of the many potential beyond the Standard Model (BSM) topics DUNE will probe, this paper presents a selection of studies quantifying DUNE's sensitivities to sterile neutrino mixing, heavy neutral leptons, non-standard interactions, CPT symmetry violation, Lorentz invariance violation, neutrino trident production, dark matter from both beam induced and cosmogenic sources, baryon number violation, and other new physics topics that complement those at high-energy colliders and significantly extend the present reach.
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Grants
- MR/T019530/1 Medical Research Council
- MR/T041323/1 Medical Research Council
- MSMT, Czech Republic
- NRF, South Korea
- Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- SERI, Switzerland
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- U.S. Department of Energy
- CERN
- Türkiye Bilimsel ve Teknolojik Arastirma Kurumu
- The Royal Society, United Kingdom
- Canada Foundation for Innovation
- U.S. NSF
- FCT, Portugal
- CEA, France
- CNRS/IN2P3, France
- European Regional Development Fund
- Science and Technology Facilities Council
- H2020-EU, European Union
- IPP, Canada
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
- CAM, Spain
- MSCA, European Union
- Instituto Nazionale di Fisica Nucleare
- Fundacção de Amparo à Pesquisa do Estado de Goiás
- Ministerio de Ciencia e Innovación
- Fundacion “La Caixa” Spain
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Zhu H, Ding J, Chong X, Ji C, Zhang C, Teng F, Gu Y, Qian X, Yang Z, Shen L, Gao J. 2P Molecular imaging evaluation of a novel Claudin18.2 specific monoclonal antibody labeled with radionuclide. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Wörner HJ, Qian X, Merkt F. Erratum: "Jahn-Teller effect in tetrahedral symmetry: Large-amplitude tunneling motion and rovibronic structure of CH 4 + and CD 4 +" [J. Chem. Phys. 126, 144305 (2007)]. J Chem Phys 2021; 154:069901. [PMID: 33588541 DOI: 10.1063/5.0029342] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Wang Y, Li Y, Zhou H, Qian X, Hu Y. Syntaxin 2 promotes colorectal cancer growth by increasing the secretion of exosomes. J Cancer 2021; 12:2050-2058. [PMID: 33754003 PMCID: PMC7974533 DOI: 10.7150/jca.51494] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 12/10/2020] [Indexed: 01/06/2023] Open
Abstract
Background: Colorectal cancer (CRC) is one of the most common cancers with high mortality worldwide. Uncontrolled growth is an important hallmark of CRC. However, the mechanisms are poorly understood. Methods: Syntaxin 2 (STX2) expression was analyzed in 160 cases of paraffin-embedded CRC tissue by immunohistochemistry, in 10 cases of fresh CRC tissue by western blot, and in 2 public databases. Gain- and loss-of-function analyses were used to investigate the biological function of STX2 in CRC growth. Exosomes isolation, characterization, Co-immunoprecipitation (Co-IP), flow cytometry and fluorescence were conducted to study the molecular mechanism of STX2 in CRC growth. Results: The expression of STX2 was obviously up-regulated in human CRC tissues. Overexpression of STX2 increased the growth of CRC cells in vitro and in vivo. Downregulation of STX2 repressed the growth of CRC. STX2 modulated exosomes secretion of CRC cells which might correlated with Rab8a expression. The secreted exosomes could be ingested by CRC cells, and ultimately promoted the growth of CRC by arresting the tumor cells at S phase. Conclusions: Our data provide evidence that STX2 promotes CRC growth by increasing exosomes secretion of CRC cells; And the modulation of STX2 in exosomes secretion correlates with Rab8a. Thus, our study identified a new mechanism of STX2 in CRC growth and may provide a possible strategy for CRC therapy.
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Balantekin AB, Band HR, Bass CD, Bergeron DE, Berish D, Bowden NS, Brodsky JP, Bryan CD, Classen T, Conant AJ, Deichert G, Diwan MV, Dolinski MJ, Erickson A, Foust BT, Gaison JK, Galindo-Uribarri A, Gilbert CE, Hackett BT, Hans S, Hansell AB, Heeger KM, Heffron B, Jaffe DE, Ji X, Jones DC, Kyzylova O, Lane CE, Langford TJ, LaRosa J, Littlejohn BR, Lu X, Maricic J, Mendenhall MP, Milincic R, Mitchell I, Mueller PE, Mumm HP, Napolitano J, Neilson R, Nikkel JA, Norcini D, Nour S, Palomino-Gallo JL, Pushin DA, Qian X, Romero-Romero E, Rosero R, Surukuchi PT, Tyra MA, Varner RL, White C, Wilhelmi J, Woolverton A, Yeh M, Zhang A, Zhang C, Zhang X. Nonfuel Antineutrino Contributions in the High Flux Isotope Reactor. ACTA ACUST UNITED AC 2020; 101. [PMID: 33336123 DOI: 10.1103/physrevc.101.054605] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Reactor neutrino experiments have seen major improvements in precision in recent years. With the experimental uncertainties becoming lower than those from theory, carefully considering all sources of ν ¯ e is important when making theoretical predictions. One source of ν ¯ e that is often neglected arises from the irradiation of the nonfuel materials in reactors. The ν ¯ e rates and energies from these sources vary widely based on the reactor type, configuration, and sampling stage during the reactor cycle and have to be carefully considered for each experiment independently. In this article, we present a formalism for selecting the possible ν ¯ e sources arising from the neutron captures on reactor and target materials. We apply this formalism to the High Flux Isotope Reactor (HFIR) at Oak Ridge National Laboratory, the ν ¯ e source for the the Precision Reactor Oscillation and Spectrum Measurement (PROSPECT) experiment. Overall, we observe that the nonfuel ν ¯ e contributions from HFIR to PROSPECT amount to 1% above the inverse beta decay threshold with a maximum contribution of 9% in the 1.8-2.0 MeV range. Nonfuel contributions can be particularly high for research reactors like HFIR because of the choice of structural and reflector material in addition to the intentional irradiation of target material for isotope production. We show that typical commercial pressurized water reactors fueled with low-enriched uranium will have significantly smaller nonfuel ν ¯ e contribution.
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Abratenko P, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Cohen EO, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Devitt D, Diurba R, Domine L, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Evans JJ, Fiorentini Aguirre GA, Fitzpatrick RS, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu L, Gu W, Guenette R, Guzowski P, Hall E, Hamilton P, Hen O, Horton-Smith GA, Hourlier A, Huang EC, Itay R, James C, Jan de Vries J, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kamp N, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Littlejohn BR, Lorca D, Louis WC, Luo X, Marchionni A, Marcocci S, Mariani C, Marsden D, Marshall J, Martin-Albo J, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor AF, Moore CD, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Neely RK, Nienaber P, Nowak J, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate SF, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Porzio D, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rogers HE, Rosenberg M, Ross-Lonergan M, Russell B, Scanavini G, Schmitz DW, Schukraft A, Shaevitz MH, Sharankova R, Sinclair J, Smith A, Snider EL, Soderberg M, Söldner-Rembold S, Soleti SR, Spentzouris P, Spitz J, Stancari M, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc AM, Tagg N, Tang W, Terao K, Thornton RT, Thorpe C, Toups M, Tsai YT, Tufanli S, Uchida MA, Usher T, Van De Pontseele W, Van de Water RG, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wu W, Yang T, Yarbrough G, Yates LE, Zeller GP, Zennamo J, Zhang C. First Measurement of Differential Charged Current Quasielasticlike ν_{μ}-Argon Scattering Cross Sections with the MicroBooNE Detector. PHYSICAL REVIEW LETTERS 2020; 125:201803. [PMID: 33258649 DOI: 10.1103/physrevlett.125.201803] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 09/11/2020] [Accepted: 10/02/2020] [Indexed: 06/12/2023]
Abstract
We report on the first measurement of flux-integrated single differential cross sections for charged-current (CC) muon neutrino (ν_{μ}) scattering on argon with a muon and a proton in the final state, ^{40}Ar (ν_{μ},μp)X. The measurement was carried out using the Booster Neutrino Beam at Fermi National Accelerator Laboratory and the MicroBooNE liquid argon time projection chamber detector with an exposure of 4.59×10^{19} protons on target. Events are selected to enhance the contribution of CC quasielastic (CCQE) interactions. The data are reported in terms of a total cross section as well as single differential cross sections in final state muon and proton kinematics. We measure the integrated per-nucleus CCQE-like cross section (i.e., for interactions leading to a muon, one proton, and no pions above detection threshold) of (4.93±0.76_{stat}±1.29_{sys})×10^{-38} cm^{2}, in good agreement with theoretical calculations. The single differential cross sections are also in overall good agreement with theoretical predictions, except at very forward muon scattering angles that correspond to low-momentum-transfer events.
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