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Hartner AM, Li X, Echeverria-Londono S, Roth J, Abbas K, Auzenbergs M, de Villiers MJ, Ferrari MJ, Fraser K, Fu H, Hallett T, Hinsley W, Jit M, Karachaliou A, Moore SM, Nayagam S, Papadopoulos T, Perkins TA, Portnoy A, Minh QT, Vynnycky E, Winter AK, Burrows H, Chen C, Clapham HE, Deshpande A, Hauryski S, Huber J, Jean K, Kim C, Kim JH, Koh J, Lopman BA, Pitzer VE, Tam Y, Lambach P, Sim SY, Woodruff K, Ferguson NM, Trotter CL, Gaythorpe KAM. Estimating the health effects of COVID-19-related immunisation disruptions in 112 countries during 2020-30: a modelling study. Lancet Glob Health 2024; 12:e563-e571. [PMID: 38485425 PMCID: PMC10951961 DOI: 10.1016/s2214-109x(23)00603-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 12/14/2023] [Accepted: 12/16/2023] [Indexed: 03/19/2024]
Abstract
BACKGROUND There have been declines in global immunisation coverage due to the COVID-19 pandemic. Recovery has begun but is geographically variable. This disruption has led to under-immunised cohorts and interrupted progress in reducing vaccine-preventable disease burden. There have, so far, been few studies of the effects of coverage disruption on vaccine effects. We aimed to quantify the effects of vaccine-coverage disruption on routine and campaign immunisation services, identify cohorts and regions that could particularly benefit from catch-up activities, and establish if losses in effect could be recovered. METHODS For this modelling study, we used modelling groups from the Vaccine Impact Modelling Consortium from 112 low-income and middle-income countries to estimate vaccine effect for 14 pathogens. One set of modelling estimates used vaccine-coverage data from 1937 to 2021 for a subset of vaccine-preventable, outbreak-prone or priority diseases (ie, measles, rubella, hepatitis B, human papillomavirus [HPV], meningitis A, and yellow fever) to examine mitigation measures, hereafter referred to as recovery runs. The second set of estimates were conducted with vaccine-coverage data from 1937 to 2020, used to calculate effect ratios (ie, the burden averted per dose) for all 14 included vaccines and diseases, hereafter referred to as full runs. Both runs were modelled from Jan 1, 2000, to Dec 31, 2100. Countries were included if they were in the Gavi, the Vaccine Alliance portfolio; had notable burden; or had notable strategic vaccination activities. These countries represented the majority of global vaccine-preventable disease burden. Vaccine coverage was informed by historical estimates from WHO-UNICEF Estimates of National Immunization Coverage and the immunisation repository of WHO for data up to and including 2021. From 2022 onwards, we estimated coverage on the basis of guidance about campaign frequency, non-linear assumptions about the recovery of routine immunisation to pre-disruption magnitude, and 2030 endpoints informed by the WHO Immunization Agenda 2030 aims and expert consultation. We examined three main scenarios: no disruption, baseline recovery, and baseline recovery and catch-up. FINDINGS We estimated that disruption to measles, rubella, HPV, hepatitis B, meningitis A, and yellow fever vaccination could lead to 49 119 additional deaths (95% credible interval [CrI] 17 248-134 941) during calendar years 2020-30, largely due to measles. For years of vaccination 2020-30 for all 14 pathogens, disruption could lead to a 2·66% (95% CrI 2·52-2·81) reduction in long-term effect from 37 378 194 deaths averted (34 450 249-40 241 202) to 36 410 559 deaths averted (33 515 397-39 241 799). We estimated that catch-up activities could avert 78·9% (40·4-151·4) of excess deaths between calendar years 2023 and 2030 (ie, 18 900 [7037-60 223] of 25 356 [9859-75 073]). INTERPRETATION Our results highlight the importance of the timing of catch-up activities, considering estimated burden to improve vaccine coverage in affected cohorts. We estimated that mitigation measures for measles and yellow fever were particularly effective at reducing excess burden in the short term. Additionally, the high long-term effect of HPV vaccine as an important cervical-cancer prevention tool warrants continued immunisation efforts after disruption. FUNDING The Vaccine Impact Modelling Consortium, funded by Gavi, the Vaccine Alliance and the Bill & Melinda Gates Foundation. TRANSLATIONS For the Arabic, Chinese, French, Portguese and Spanish translations of the abstract see Supplementary Materials section.
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Affiliation(s)
- Anna-Maria Hartner
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK; Centre for Artificial Intelligence in Public Health Research, Robert Koch Institute, Wildau, Germany
| | - Xiang Li
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Susy Echeverria-Londono
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Jeremy Roth
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Kaja Abbas
- London School of Hygiene & Tropical Medicine, London, UK; School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | | | - Margaret J de Villiers
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Matthew J Ferrari
- Center for Infectious Disease Dynamics, Pennsylvania State University, Pennsylvania, PA, USA
| | - Keith Fraser
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Han Fu
- London School of Hygiene & Tropical Medicine, London, UK
| | - Timothy Hallett
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Wes Hinsley
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Mark Jit
- London School of Hygiene & Tropical Medicine, London, UK; School of Public Health, University of Hong Kong, Hong Kong Special Administrative Region, China
| | | | - Sean M Moore
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | - Shevanthi Nayagam
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK; Section of Hepatology and Gastroenterology, Department of Metabolism, Digestion, and Reproduction, Imperial College London, London, UK
| | | | - T Alex Perkins
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | - Allison Portnoy
- Center for Health Decision Science, T H Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Quan Tran Minh
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | | | - Amy K Winter
- Department of Epidemiology and Biostatistics and Center for the Ecology of Infectious Diseases, University of Georgia, Athens, GA, USA
| | - Holly Burrows
- School of Public Health, Yale University, New Haven, CT, USA
| | - Cynthia Chen
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Hannah E Clapham
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam; Nuffield Department of Medicine, Oxford University, Oxford, UK
| | | | - Sarah Hauryski
- Center for Infectious Disease Dynamics, Pennsylvania State University, Pennsylvania, PA, USA
| | - John Huber
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA; School of Medicine, Washington University, St Louis, MO, USA
| | - Kevin Jean
- Laboratoire Modélisation, épidémiologie, et surveillance des risques sanitaires and Unit Cnam risques infectieux et émergents, Institut Pasteur, Conservatoire National des Arts et Metiers, Paris, France
| | - Chaelin Kim
- International Vaccine Institute, Seoul, South Korea
| | | | - Jemima Koh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | | | | | - Yvonne Tam
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Philipp Lambach
- Department of Immunization, Vaccines, and Biologicals, WHO, Geneva, Switzerland
| | - So Yoon Sim
- Department of Immunization, Vaccines, and Biologicals, WHO, Geneva, Switzerland
| | - Kim Woodruff
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Neil M Ferguson
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK
| | - Caroline L Trotter
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK; Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Katy A M Gaythorpe
- Medical Research Council Centre for Global Infectious Disease Analysis, Jameel Institute School of Public Health, Imperial College London, London, UK.
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Brown W, Oliveira M, Reis Silva R, Woodruff K, Bisha B, Demetrio D, Block J. Effects of mycobacterium cell wall fraction on embryo development following in vitro embryo production and pregnancy rates following embryo transfer in virgin dairy heifers. Theriogenology 2024; 215:334-342. [PMID: 38134681 DOI: 10.1016/j.theriogenology.2023.12.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 11/28/2023] [Accepted: 12/13/2023] [Indexed: 12/24/2023]
Abstract
An experiment was conducted to determine whether administration of mycobacterium cell wall fraction (MCWF; Amplimune, NovaVive) could enhance embryo developmental competence following in vitro embryo production (IVP) and pregnancy establishment after embryo transfer (ET). Nulliparous, Holstein heifers (n = 40; age 8-15 months) were submitted to two rounds of ovum pick-up (OPU) and IVP in a crossover design. Thirty-six h after follicle wave synchronization, treatments (saline or MCWF, 5 mL, im) were administered in conjunction with a single dose of follicle stimulating hormone (175 IU) and OPU was performed 48-52 h later. Recovered cumulus-oocyte complexes were used for IVP to assess embryo development. For ET, nulliparous, Holstein heifers (n = 225; age 12-18 months) were used as recipients. At 12-24 h after detection of spontaneous estrus, recipients were randomly treated with either saline or MCWF (5 mL, im). The effect of MCWF on pregnancy per ET (P/ET) was assessed in a 2 × 2 factorial design with recipients treated with or without MCWF receiving a fresh IVP embryo from a donor treated with or without MCWF at day 7 or 8 after detected estrus. Blood samples were collected from a subset of donors (n = 8) and recipients (n = 26 to 33 per treatment) prior to treatment and at 6 and 24 h post-treatment to determine serum concentration of interleukin (IL)-1β, IL-6, tumor necrosis factor-α, and interferon-γ. Blood samples were also collected from a group of recipients (n = 31 to 39 per treatment) to assess serum concentration of progesterone at days 4, 7, and 16 post-treatment. Pregnancy status was determined at days 40 and 100 of gestation. Donor treatment with MCWF tended (P < 0.07) to increase the proportion of oocytes that developed into transferable embryos, but there was no effect of MCWF on other parameters of embryo development. The P/ET at days 40 and 100 of gestation and pregnancy loss were not affected by donor treatment or recipient treatment with MCWF and there was no interaction. Serum concentration of proinflammatory cytokines among donors and recipients and serum concentration of progesterone among recipients were not increased by treatment with MCWF. Results of the present study indicate that treatment of donors with MCWF has minimal impact on subsequent embryo development following IVP. Moreover, regardless of whether donors or recipients were treated with MCWF, there was no effect on P/ET following transfer of IVP embryos.
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Affiliation(s)
- W Brown
- Department of Animal Science, University of Wyoming, Laramie, WY, USA
| | | | - R Reis Silva
- EVZ, Federal University of Goias, Goiania, GO, Brazil
| | - K Woodruff
- Department of Animal Science, University of Wyoming, Laramie, WY, USA
| | - B Bisha
- Department of Animal Science, University of Wyoming, Laramie, WY, USA
| | | | - J Block
- Department of Animal Science, University of Wyoming, Laramie, WY, USA.
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Carey S, Woodruff K, Ahmed E, Olymbios M, Hall S. How Age, Sex, and Time Influence Dd-Cfdna in Heart Transplant (HT) Recipients: A Real-World Experience. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.1523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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Ahmed Ali H, Hartner AM, Echeverria-Londono S, Roth J, Li X, Abbas K, Portnoy A, Vynnycky E, Woodruff K, Ferguson NM, Toor J, Gaythorpe KAM. Correction: Vaccine equity in low and middle income countries: a systematic review and meta-analysis. Int J Equity Health 2022; 21:92. [PMID: 35799250 PMCID: PMC9264635 DOI: 10.1186/s12939-022-01695-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Huda Ahmed Ali
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | - Anna-Maria Hartner
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | | | - Jeremy Roth
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | - Xiang Li
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | - Kaja Abbas
- grid.8991.90000 0004 0425 469XLondon School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Allison Portnoy
- grid.38142.3c000000041936754XCenter for Health Decision Science, Harvard T H Chan School of Public Health, Cambridge, USA
| | - Emilia Vynnycky
- grid.271308.f0000 0004 5909 016XPublic Health England, London, UK
| | - Kim Woodruff
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | - Neil M. Ferguson
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | - Jaspreet Toor
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
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Ali HA, Hartner AM, Echeverria-Londono S, Roth J, Li X, Abbas K, Portnoy A, Vynnycky E, Woodruff K, Ferguson NM, Toor J, Gaythorpe KAM. Vaccine equity in low and middle income countries: a systematic review and meta-analysis. Int J Equity Health 2022; 21:82. [PMID: 35701823 PMCID: PMC9194352 DOI: 10.1186/s12939-022-01678-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 05/17/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Evidence to date has shown that inequality in health, and vaccination coverage in particular, can have ramifications to wider society. However, whilst individual studies have sought to characterise these heterogeneities in immunisation coverage at national level, few have taken a broad and quantitative view of the contributing factors to heterogeneity in immunisation coverage and impact, i.e. the number of cases, deaths, and disability-adjusted life years averted. This systematic review aims to highlight these geographic, demographic, and sociodemographic characteristics through a qualitative and quantitative approach, vital to prioritise and optimise vaccination policies. METHODS A systematic review of two databases (PubMed and Web of Science) was undertaken using search terms and keywords to identify studies examining factors on immunisation inequality and heterogeneity in vaccination coverage. Inclusion criteria were applied independently by two researchers. Studies including data on key characteristics of interest were further analysed through a meta-analysis to produce a pooled estimate of the risk ratio using a random effects model for that characteristic. RESULTS One hundred and eight studies were included in this review. We found that inequalities in wealth, education, and geographic access can affect vaccine impact and vaccination dropout. We estimated those living in rural areas were not significantly different in terms of full vaccination status compared to urban areas but noted considerable heterogeneity between countries. We found that females were 3% (95%CI[1%, 5%]) less likely to be fully vaccinated than males. Additionally, we estimated that children whose mothers had no formal education were 28% (95%CI[18%,47%]) less likely to be fully vaccinated than those whose mother had primary level, or above, education. Finally, we found that individuals in the poorest wealth quintile were 27% (95%CI [16%,37%]) less likely to be fully vaccinated than those in the richest. CONCLUSIONS We found a nuanced picture of inequality in vaccination coverage and access with wealth disparity dominating, and likely driving, other disparities. This review highlights the complex landscape of inequity and further need to design vaccination strategies targeting missed subgroups to improve and recover vaccination coverage following the COVID-19 pandemic. TRIAL REGISTRATION Prospero, CRD42021261927.
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Affiliation(s)
- Huda Ahmed Ali
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | - Anna-Maria Hartner
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | | | - Jeremy Roth
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | - Xiang Li
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | - Kaja Abbas
- grid.8991.90000 0004 0425 469XLondon School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Allison Portnoy
- grid.38142.3c000000041936754XCenter for Health Decision Science, Harvard T H Chan School of Public Health, Cambridge, USA
| | - Emilia Vynnycky
- grid.271308.f0000 0004 5909 016XPublic Health England, London, UK
| | - Kim Woodruff
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | - Neil M Ferguson
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | - Jaspreet Toor
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
| | - Katy AM Gaythorpe
- grid.7445.20000 0001 2113 8111Imperial College London, Praed Street, London, UK
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Toor J, Echeverria-Londono S, Li X, Abbas K, Carter ED, Clapham HE, Clark A, de Villiers MJ, Eilertson K, Ferrari M, Gamkrelidze I, Hallett TB, Hinsley WR, Hogan D, Huber JH, Jackson ML, Jean K, Jit M, Karachaliou A, Klepac P, Kraay A, Lessler J, Li X, Lopman BA, Mengistu T, Metcalf CJE, Moore SM, Nayagam S, Papadopoulos T, Perkins TA, Portnoy A, Razavi H, Razavi-Shearer D, Resch S, Sanderson C, Sweet S, Tam Y, Tanvir H, Tran Minh Q, Trotter CL, Truelove SA, Vynnycky E, Walker N, Winter A, Woodruff K, Ferguson NM, Gaythorpe KAM. Lives saved with vaccination for 10 pathogens across 112 countries in a pre-COVID-19 world. eLife 2021; 10:e67635. [PMID: 34253291 PMCID: PMC8277373 DOI: 10.7554/elife.67635] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 05/26/2021] [Indexed: 12/12/2022] Open
Abstract
Background Vaccination is one of the most effective public health interventions. We investigate the impact of vaccination activities for Haemophilus influenzae type b, hepatitis B, human papillomavirus, Japanese encephalitis, measles, Neisseria meningitidis serogroup A, rotavirus, rubella, Streptococcus pneumoniae, and yellow fever over the years 2000-2030 across 112 countries. Methods Twenty-one mathematical models estimated disease burden using standardised demographic and immunisation data. Impact was attributed to the year of vaccination through vaccine-activity-stratified impact ratios. Results We estimate 97 (95%CrI[80, 120]) million deaths would be averted due to vaccination activities over 2000-2030, with 50 (95%CrI[41, 62]) million deaths averted by activities between 2000 and 2019. For children under-5 born between 2000 and 2030, we estimate 52 (95%CrI[41, 69]) million more deaths would occur over their lifetimes without vaccination against these diseases. Conclusions This study represents the largest assessment of vaccine impact before COVID-19-related disruptions and provides motivation for sustaining and improving global vaccination coverage in the future. Funding VIMC is jointly funded by Gavi, the Vaccine Alliance, and the Bill and Melinda Gates Foundation (BMGF) (BMGF grant number: OPP1157270 / INV-009125). Funding from Gavi is channelled via VIMC to the Consortium's modelling groups (VIMC-funded institutions represented in this paper: Imperial College London, London School of Hygiene and Tropical Medicine, Oxford University Clinical Research Unit, Public Health England, Johns Hopkins University, The Pennsylvania State University, Center for Disease Analysis Foundation, Kaiser Permanente Washington, University of Cambridge, University of Notre Dame, Harvard University, Conservatoire National des Arts et Métiers, Emory University, National University of Singapore). Funding from BMGF was used for salaries of the Consortium secretariat (authors represented here: TBH, MJ, XL, SE-L, JT, KW, NMF, KAMG); and channelled via VIMC for travel and subsistence costs of all Consortium members (all authors). We also acknowledge funding from the UK Medical Research Council and Department for International Development, which supported aspects of VIMC's work (MRC grant number: MR/R015600/1).JHH acknowledges funding from National Science Foundation Graduate Research Fellowship; Richard and Peggy Notebaert Premier Fellowship from the University of Notre Dame. BAL acknowledges funding from NIH/NIGMS (grant number R01 GM124280) and NIH/NIAID (grant number R01 AI112970). The Lives Saved Tool (LiST) receives funding support from the Bill and Melinda Gates Foundation.This paper was compiled by all coauthors, including two coauthors from Gavi. Other funders had no role in study design, data collection, data analysis, data interpretation, or writing of the report. All authors had full access to all the data in the study and had final responsibility for the decision to submit for publication.
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Affiliation(s)
- Jaspreet Toor
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Susy Echeverria-Londono
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Xiang Li
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Kaja Abbas
- London School of Hygiene and Tropical MedicineLondonUnited Kingdom
| | - Emily D Carter
- Bloomberg School of Public Health, Johns Hopkins UniversityBaltimoreUnited States
| | - Hannah E Clapham
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Oxford University Clinical Research Unit, Vietnam; Nuffield Department of Medicine, Oxford UniversityOxfordUnited Kingdom
| | - Andrew Clark
- London School of Hygiene and Tropical MedicineLondonUnited Kingdom
| | - Margaret J de Villiers
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | | | | | | | - Timothy B Hallett
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Wes R Hinsley
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | | | - John H Huber
- Department of Biological Sciences, University of Notre DameNotre DameUnited States
| | | | - Kevin Jean
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
- Laboratoire MESuRS and Unite PACRI, Institut Pasteur, Conservatoire National des Arts et MetiersParisFrance
| | - Mark Jit
- London School of Hygiene and Tropical MedicineLondonUnited Kingdom
- University of Hong Kong, Hong Kong Special Administrative RegionHong KongChina
| | | | - Petra Klepac
- London School of Hygiene and Tropical MedicineLondonUnited Kingdom
| | - Alicia Kraay
- Rollins School of Public Health, Emory UniversityAtlantaUnited States
| | - Justin Lessler
- Bloomberg School of Public Health, Johns Hopkins UniversityBaltimoreUnited States
| | - Xi Li
- IndependentAtlantaUnited States
| | - Benjamin A Lopman
- Rollins School of Public Health, Emory UniversityAtlantaUnited States
| | | | | | - Sean M Moore
- Department of Biological Sciences, University of Notre DameNotre DameUnited States
| | - Shevanthi Nayagam
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
- Section of Hepatology and Gastroenterology, Department of Metabolism, Digestion and Reproduction, Imperial College LondonLondonUnited Kingdom
| | - Timos Papadopoulos
- Public Health EnglandLondonUnited Kingdom
- University of SouthamptonSouthamptonUnited Kingdom
| | - T Alex Perkins
- Department of Biological Sciences, University of Notre DameNotre DameUnited States
| | - Allison Portnoy
- Center for Health Decision Science, Harvard T H Chan School of Public Health, Harvard UniversityCambridgeUnited States
| | - Homie Razavi
- Center for Disease Analysis FoundationLafayetteUnited States
| | | | - Stephen Resch
- Center for Health Decision Science, Harvard T H Chan School of Public Health, Harvard UniversityCambridgeUnited States
| | - Colin Sanderson
- London School of Hygiene and Tropical MedicineLondonUnited Kingdom
| | - Steven Sweet
- Center for Health Decision Science, Harvard T H Chan School of Public Health, Harvard UniversityCambridgeUnited States
| | - Yvonne Tam
- Bloomberg School of Public Health, Johns Hopkins UniversityBaltimoreUnited States
| | - Hira Tanvir
- London School of Hygiene and Tropical MedicineLondonUnited Kingdom
| | - Quan Tran Minh
- Department of Biological Sciences, University of Notre DameNotre DameUnited States
| | | | - Shaun A Truelove
- Bloomberg School of Public Health, Johns Hopkins UniversityBaltimoreUnited States
| | | | - Neff Walker
- Bloomberg School of Public Health, Johns Hopkins UniversityBaltimoreUnited States
| | - Amy Winter
- Bloomberg School of Public Health, Johns Hopkins UniversityBaltimoreUnited States
| | - Kim Woodruff
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Neil M Ferguson
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Katy AM Gaythorpe
- MRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
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Gaythorpe KAM, Abbas K, Huber J, Karachaliou A, Thakkar N, Woodruff K, Li X, Echeverria-Londono S, Ferrari M, Jackson ML, McCarthy K, Perkins TA, Trotter C, Jit M. Impact of COVID-19-related disruptions to measles, meningococcal A, and yellow fever vaccination in 10 countries. eLife 2021; 10:e67023. [PMID: 34165077 PMCID: PMC8263060 DOI: 10.7554/elife.67023] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 06/23/2021] [Indexed: 12/30/2022] Open
Abstract
Background Childhood immunisation services have been disrupted by the COVID-19 pandemic. WHO recommends considering outbreak risk using epidemiological criteria when deciding whether to conduct preventive vaccination campaigns during the pandemic. Methods We used two to three models per infection to estimate the health impact of 50% reduced routine vaccination coverage in 2020 and delay of campaign vaccination from 2020 to 2021 for measles vaccination in Bangladesh, Chad, Ethiopia, Kenya, Nigeria, and South Sudan, for meningococcal A vaccination in Burkina Faso, Chad, Niger, and Nigeria, and for yellow fever vaccination in the Democratic Republic of Congo, Ghana, and Nigeria. Our counterfactual comparative scenario was sustaining immunisation services at coverage projections made prior to COVID-19 (i.e. without any disruption). Results Reduced routine vaccination coverage in 2020 without catch-up vaccination may lead to an increase in measles and yellow fever disease burden in the modelled countries. Delaying planned campaigns in Ethiopia and Nigeria by a year may significantly increase the risk of measles outbreaks (both countries did complete their supplementary immunisation activities (SIAs) planned for 2020). For yellow fever vaccination, delay in campaigns leads to a potential disease burden rise of >1 death per 100,000 people per year until the campaigns are implemented. For meningococcal A vaccination, short-term disruptions in 2020 are unlikely to have a significant impact due to the persistence of direct and indirect benefits from past introductory campaigns of the 1- to 29-year-old population, bolstered by inclusion of the vaccine into the routine immunisation schedule accompanied by further catch-up campaigns. Conclusions The impact of COVID-19-related disruption to vaccination programs varies between infections and countries. Planning and implementation of campaigns should consider country and infection-specific epidemiological factors and local immunity gaps worsened by the COVID-19 pandemic when prioritising vaccines and strategies for catch-up vaccination. Funding Bill and Melinda Gates Foundation and Gavi, the Vaccine Alliance.
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Affiliation(s)
- Katy AM Gaythorpe
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Kaja Abbas
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical MedicineLondonUnited Kingdom
| | - John Huber
- Department of Biological Sciences, University of Notre DameSouth BendUnited States
| | | | - Niket Thakkar
- Institute for Disease Modeling, Bill & Melinda Gates FoundationSeattleUnited States
| | - Kim Woodruff
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Xiang Li
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | - Susy Echeverria-Londono
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College LondonLondonUnited Kingdom
| | | | | | - Kevin McCarthy
- Institute for Disease Modeling, Bill & Melinda Gates FoundationSeattleUnited States
| | - T Alex Perkins
- Department of Biological Sciences, University of Notre DameSouth BendUnited States
| | - Caroline Trotter
- Department of Veterinary Medicine, University of CambridgeCambridgeUnited Kingdom
| | - Mark Jit
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical MedicineLondonUnited Kingdom
- School of Public Health, University of Hong KongHong Kong SARChina
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Li X, Mukandavire C, Cucunubá ZM, Echeverria Londono S, Abbas K, Clapham HE, Jit M, Johnson HL, Papadopoulos T, Vynnycky E, Brisson M, Carter ED, Clark A, de Villiers MJ, Eilertson K, Ferrari MJ, Gamkrelidze I, Gaythorpe KAM, Grassly NC, Hallett TB, Hinsley W, Jackson ML, Jean K, Karachaliou A, Klepac P, Lessler J, Li X, Moore SM, Nayagam S, Nguyen DM, Razavi H, Razavi-Shearer D, Resch S, Sanderson C, Sweet S, Sy S, Tam Y, Tanvir H, Tran QM, Trotter CL, Truelove S, van Zandvoort K, Verguet S, Walker N, Winter A, Woodruff K, Ferguson NM, Garske T. Estimating the health impact of vaccination against ten pathogens in 98 low-income and middle-income countries from 2000 to 2030: a modelling study. Lancet 2021; 397:398-408. [PMID: 33516338 PMCID: PMC7846814 DOI: 10.1016/s0140-6736(20)32657-x] [Citation(s) in RCA: 104] [Impact Index Per Article: 34.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 07/07/2020] [Accepted: 12/03/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND The past two decades have seen expansion of childhood vaccination programmes in low-income and middle-income countries (LMICs). We quantify the health impact of these programmes by estimating the deaths and disability-adjusted life-years (DALYs) averted by vaccination against ten pathogens in 98 LMICs between 2000 and 2030. METHODS 16 independent research groups provided model-based disease burden estimates under a range of vaccination coverage scenarios for ten pathogens: hepatitis B virus, Haemophilus influenzae type B, human papillomavirus, Japanese encephalitis, measles, Neisseria meningitidis serogroup A, Streptococcus pneumoniae, rotavirus, rubella, and yellow fever. Using standardised demographic data and vaccine coverage, the impact of vaccination programmes was determined by comparing model estimates from a no-vaccination counterfactual scenario with those from a reported and projected vaccination scenario. We present deaths and DALYs averted between 2000 and 2030 by calendar year and by annual birth cohort. FINDINGS We estimate that vaccination of the ten selected pathogens will have averted 69 million (95% credible interval 52-88) deaths between 2000 and 2030, of which 37 million (30-48) were averted between 2000 and 2019. From 2000 to 2019, this represents a 45% (36-58) reduction in deaths compared with the counterfactual scenario of no vaccination. Most of this impact is concentrated in a reduction in mortality among children younger than 5 years (57% reduction [52-66]), most notably from measles. Over the lifetime of birth cohorts born between 2000 and 2030, we predict that 120 million (93-150) deaths will be averted by vaccination, of which 58 million (39-76) are due to measles vaccination and 38 million (25-52) are due to hepatitis B vaccination. We estimate that increases in vaccine coverage and introductions of additional vaccines will result in a 72% (59-81) reduction in lifetime mortality in the 2019 birth cohort. INTERPRETATION Increases in vaccine coverage and the introduction of new vaccines into LMICs have had a major impact in reducing mortality. These public health gains are predicted to increase in coming decades if progress in increasing coverage is sustained. FUNDING Gavi, the Vaccine Alliance and the Bill & Melinda Gates Foundation.
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Affiliation(s)
- Xiang Li
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK
| | - Christinah Mukandavire
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK
| | - Zulma M Cucunubá
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK
| | - Susy Echeverria Londono
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK
| | - Kaja Abbas
- London School of Hygiene & Tropical Medicine
| | - Hannah E Clapham
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam; Nuffield Department of Medicine, Oxford University, Oxford, UK
| | - Mark Jit
- London School of Hygiene & Tropical Medicine; University of Hong Kong, Hong Kong Special Administrative Region, China; Public Health England, London, UK
| | | | - Timos Papadopoulos
- Public Health England, London, UK; University of Southampton, Southampton, UK
| | - Emilia Vynnycky
- London School of Hygiene & Tropical Medicine; Public Health England, London, UK
| | | | - Emily D Carter
- Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | | | - Margaret J de Villiers
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK
| | | | | | | | - Katy A M Gaythorpe
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK
| | - Nicholas C Grassly
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK
| | - Timothy B Hallett
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK
| | - Wes Hinsley
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK
| | | | - Kévin Jean
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK; Laboratoire MESuRS, Conservatoire National des Arts et Métiers, Paris, France; Unité PACRI, Institut Pasteur, Conservatoire National des Arts et Métiers, Paris, France
| | | | | | - Justin Lessler
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | | | - Sean M Moore
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | - Shevanthi Nayagam
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK; Section of Hepatology and Gastroenterology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Duy Manh Nguyen
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam; School of Computing, Dublin City University, Dublin, Ireland
| | - Homie Razavi
- Center for Disease Analysis Foundation, Lafayette, CO, USA
| | | | - Stephen Resch
- Center for Health Decision Science, Harvard T H Chan School of Public Health, Harvard University, Cambridge, MA, USA
| | | | - Steven Sweet
- Center for Health Decision Science, Harvard T H Chan School of Public Health, Harvard University, Cambridge, MA, USA
| | - Stephen Sy
- Center for Health Decision Science, Harvard T H Chan School of Public Health, Harvard University, Cambridge, MA, USA
| | - Yvonne Tam
- Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Hira Tanvir
- London School of Hygiene & Tropical Medicine
| | - Quan Minh Tran
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam; Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | | | - Shaun Truelove
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | | | - Stéphane Verguet
- Department of Global Health and Population, Harvard T H Chan School of Public Health, Harvard University, Cambridge, MA, USA
| | - Neff Walker
- Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Amy Winter
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Kim Woodruff
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK
| | - Neil M Ferguson
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK.
| | - Tini Garske
- MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK
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Woodruff K, Chirila C, Zheng Q, Van Impe K, Nuamah I. Healthcare resource use of paliperidone palmitate 3-month injection vs. paliperidone palmitate 1-month injection: An analysis of phase III clinical trial hospital data. Eur Psychiatry 2020. [DOI: 10.1016/j.eurpsy.2016.01.689] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
IntroductionPSY-3011 was a randomized, multicenter, double-blind, non-inferiority study of paliperidone palmitate 3-month injection (PP3M) vs. paliperidone palmitate 1-month injection (PP1M). Adults with schizophrenia were stabilized on PP1M in an open-label (OL) 17-week transition phase. Qualifying subjects at the end of the OL phase were then randomized to PP3M or PP1M in the 48-week double-blind (DB) phase. Healthcare resource utilization (HCRU) between PP3M and PP1M was compared using the HCRU questionnaire during the double-blind (DB) phase.MethodsHCRU was measured at the start of the OL and DB phases, and every 12 weeks during DB until end of study/early withdrawal. Information included hospitalizations, ER visits, day or night clinic stays, outpatient treatment, daily living conditions, and occupational status. Logistic regressions modeled the probability of hospitalization vs. no hospitalization for psychiatric and social reasons, as well as hospitalizations for psychiatric reasons only, during the DB phase. The models controlled for OL baseline hospitalizations, OL phase hospitalizations, and time in study.ResultsThe analysis set included 483 subjects randomized to PP3M and 512 subjects to PP1M during the DB phase. The odds of hospitalization for psychiatric/social reasons during 1 year for PP1M subjects were 1.16 times the odds of hospitalization for PP3M subjects (95% CI: 0.70, 1.93, P = 0.56). For psychiatric reasons only, the odds of hospitalization during 1 year for PP1 M subjects were 1.63 times the odds of hospitalization for PP3M subjects (95% CI: 0.88, 3.02, P = 0.12).ConclusionsPP3M and PP1M demonstrated similar trends in hospitalizations throughout the course of the study.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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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, 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 E, Conrad J, Convery M, Cooper-Troendle L, Crespo-Anadón J, Del Tutto M, Devitt D, Domine L, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Evans J, Fitzpatrick R, Fleming B, Foppiani N, Franco D, Furmanski A, Garcia-Gamez D, Gardiner S, Genty V, Goeldi D, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu L, Gu W, Guenette R, Guzowski P, Hamilton P, Hen O, Hill C, Horton-Smith G, Hourlier A, Huang EC, Itay R, James C, Jan de Vries J, Ji X, Jiang L, Jo J, Johnson R, Joshi J, Jwa YJ, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li Y, Lister A, Littlejohn B, Lockwitz S, Lorca D, Louis W, Luethi M, Lundberg B, Luo X, Marchionni A, Marcocci S, Mariani C, 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, Moore C, Mousseau J, Murrells R, Naples D, Neely R, Nienaber P, Nowak J, Palamara O, Pandey V, Paolone V, Papadopoulou A, Papavassiliou V, Pate S, Paudel A, Pavlovic Z, Piasetzky E, Porzio D, Prince S, Pulliam G, Qian X, Raaf J, Radeka V, Rafique A, Ren L, Rochester L, Rogers H, Ross-Lonergan M, Rudolf von Rohr C, 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 JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc A, Tagg N, Tang W, Terao K, Thornton R, Toups M, Tsai YT, Tufanli S, Uchida M, Usher T, Van De Pontseele W, Van de Water R, Viren B, Weber M, Wei H, Wickremasinghe D, Williams Z, Wolbers S, Wongjirad T, Woodruff K, Wospakrik M, Wu W, Yang T, Yarbrough G, Yates L, Zeller G, Zennamo J, Zhang C. Search for heavy neutral leptons decaying into muon-pion pairs in the MicroBooNE detector. Int J Clin Exp Med 2020. [DOI: 10.1103/physrevd.101.052001] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Thapa P, Arnquist I, Byrnes N, Denisenko AA, Foss FW, Jones BJP, McDonald AD, Nygren DR, Woodruff K. Barium Chemosensors with Dry-Phase Fluorescence for Neutrinoless Double Beta Decay. Sci Rep 2019; 9:15097. [PMID: 31641206 PMCID: PMC6805857 DOI: 10.1038/s41598-019-49283-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Accepted: 08/22/2019] [Indexed: 11/08/2022] Open
Abstract
The nature of the neutrino is one of the major open questions in experimental nuclear and particle physics. The most sensitive known method to establish the Majorana nature of the neutrino is detection of the ultra-rare process of neutrinoless double beta decay. However, identification of one or a handful of decay events within a large mass of candidate isotope, without obfuscation by backgrounds is a formidable experimental challenge. One hypothetical method for achieving ultra- low-background neutrinoless double beta decay sensitivity is the detection of single 136Ba ions produced in the decay of 136Xe ("barium tagging"). To implement such a method, a single-ion-sensitive barium detector must be developed and demonstrated in bulk liquid or dry gaseous xenon. This paper reports on the development of two families of dry-phase barium chemosensor molecules for use in high pressure xenon gas detectors, synthesized specifically for this purpose. One particularly promising candidate, an anthracene substituted aza-18-crown-6 ether, is shown to respond in the dry phase with almost no intrinsic background from the unchelated state, and to be amenable to barium sensing through fluorescence microscopy. This interdisciplinary advance, paired with earlier work demonstrating sensitivity to single barium ions in solution, opens a new path toward single ion detection in high pressure xenon gas.
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Affiliation(s)
- P Thapa
- Department of Physics, University of Texas at Arlington, Arlington, TX, 76019, USA.
- Department of Chemistry and Biochemistry, University of Texas at Arlington, Arlington, TX, 76019, USA.
| | - I Arnquist
- Pacific Northwest National Laboratory (PNNL), Richland, WA, 99352, USA
| | - N Byrnes
- Department of Physics, University of Texas at Arlington, Arlington, TX, 76019, USA
| | - A A Denisenko
- Department of Chemistry and Biochemistry, University of Texas at Arlington, Arlington, TX, 76019, USA
| | - F W Foss
- Department of Chemistry and Biochemistry, University of Texas at Arlington, Arlington, TX, 76019, USA
| | - B J P Jones
- Department of Physics, University of Texas at Arlington, Arlington, TX, 76019, USA
| | - A D McDonald
- Department of Physics, University of Texas at Arlington, Arlington, TX, 76019, USA
| | - D R Nygren
- Department of Physics, University of Texas at Arlington, Arlington, TX, 76019, USA
| | - K Woodruff
- Department of Physics, University of Texas at Arlington, Arlington, TX, 76019, USA
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12
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Abratenko P, Adams C, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Auger M, Balasubramanian S, Baller B, Barnes C, Barr G, Bass M, Bay F, Bhat A, Bhattacharya K, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Carr R, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Cohen EO, Collin GH, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Devitt D, Diaz A, Domine L, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Esquivel J, Evans JJ, Fitzpatrick RS, Fleming BT, Franco D, Furmanski AP, Garcia-Gamez D, Genty V, Goeldi D, Gollapinni S, Goodwin O, Gramellini E, Greenlee H, Grosso R, Gu L, Gu W, Guenette R, Guzowski P, Hackenburg A, Hamilton P, Hen O, Hill C, Horton-Smith GA, Hourlier A, Huang EC, James C, Jan de Vries J, Ji X, Jiang L, Johnson RA, Joshi J, Jostlein H, Jwa YJ, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, Lepetic I, Li Y, Lister A, Littlejohn BR, Lockwitz S, Lorca D, Louis WC, Luethi M, Lundberg B, Luo X, Marchionni A, Marcocci S, Mariani C, Marshall J, Martin-Albo J, Martinez Caicedo DA, Mason K, Mastbaum A, Meddage V, Mettler T, Mills J, Mistry K, Mogan A, Moon J, Mooney M, Moore CD, Mousseau J, Murphy M, Murrells R, Naples D, Nienaber P, Nowak J, Palamara O, Pandey V, Paolone V, Papadopoulou A, Papavassiliou V, Pate SF, Pavlovic Z, Piasetzky E, Porzio D, Pulliam G, Qian X, Raaf JL, Rafique A, Ren L, Rochester L, Rogers HE, Ross-Lonergan M, Rudolf von Rohr C, Russell B, Scanavini G, Schmitz DW, Schukraft A, Seligman W, 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, Thomson M, Thornton RT, Toups M, Tsai YT, Tufanli S, Usher T, Van De Pontseele W, Van de Water RG, Viren B, Weber M, Wei H, Wickremasinghe DA, Wierman K, Williams Z, Wolbers S, Wongjirad T, Woodruff K, Wu W, Yang T, Yarbrough G, Yates LE, Zeller GP, Zennamo J, Zhang C. First Measurement of Inclusive Muon Neutrino Charged Current Differential Cross Sections on Argon at E_{ν}∼0.8 GeV with the MicroBooNE Detector. Phys Rev Lett 2019; 123:131801. [PMID: 31697542 DOI: 10.1103/physrevlett.123.131801] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Revised: 08/06/2019] [Indexed: 06/10/2023]
Abstract
We report the first measurement of the double-differential and total muon neutrino charged current inclusive cross sections on argon at a mean neutrino energy of 0.8 GeV. Data were collected using the MicroBooNE liquid argon time projection chamber located in the Fermilab Booster neutrino beam and correspond to 1.6×10^{20} protons on target of exposure. The measured differential cross sections are presented as a function of muon momentum, using multiple Coulomb scattering as a momentum measurement technique, and the muon angle with respect to the beam direction. We compare the measured cross sections to multiple neutrino event generators and find better agreement with those containing more complete treatment of quasielastic scattering processes at low Q^{2}. The total flux integrated cross section is measured to be 0.693±0.010(stat)±0.165(syst)×10^{-38} cm^{2}.
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Affiliation(s)
- P Abratenko
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - C Adams
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - M Alrashed
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - R An
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - J Anthony
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - J Asaadi
- University of Texas, Arlington, Texas 76019, USA
| | - A Ashkenazi
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Auger
- Universität Bern, Bern CH-3012, Switzerland
| | - S Balasubramanian
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - B Baller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Barnes
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - G Barr
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - M Bass
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - F Bay
- TUBITAK Space Technologies Research Institute, METU Campus, TR-06800, Ankara, Turkey
| | - A Bhat
- Syracuse University, Syracuse, New York 13244, USA
| | - K Bhattacharya
- Pacific Northwest National Laboratory (PNNL), Richland, Washington 99352, USA
| | - M Bishai
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Blake
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - T Bolton
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - L Camilleri
- Columbia University, New York, New York 10027, USA
| | - D Caratelli
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Caro Terrazas
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - R Carr
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | | | - F Cavanna
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Cerati
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y Chen
- Universität Bern, Bern CH-3012, Switzerland
| | - E Church
- Pacific Northwest National Laboratory (PNNL), Richland, Washington 99352, USA
| | - D Cianci
- Columbia University, New York, New York 10027, USA
| | - E O Cohen
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - G H Collin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J M Conrad
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Convery
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - L Cooper-Troendle
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | | | - M Del Tutto
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - D Devitt
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - A Diaz
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - L Domine
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - K Duffy
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S Dytman
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - B Eberly
- Davidson College, Davidson, North Carolina 28035, USA
| | | | | | - J Esquivel
- Syracuse University, Syracuse, New York 13244, USA
| | - J J Evans
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | | | - B T Fleming
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D Franco
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - A P Furmanski
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - D Garcia-Gamez
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - V Genty
- Columbia University, New York, New York 10027, USA
| | - D Goeldi
- Universität Bern, Bern CH-3012, Switzerland
| | - S Gollapinni
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - O Goodwin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - E Gramellini
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - H Greenlee
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - R Grosso
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - L Gu
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - W Gu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R Guenette
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - P Guzowski
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Hackenburg
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - P Hamilton
- Syracuse University, Syracuse, New York 13244, USA
| | - O Hen
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C Hill
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | | | - A Hourlier
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - E-C Huang
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - C James
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Jan de Vries
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - X Ji
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - L Jiang
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - J Joshi
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - H Jostlein
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y-J Jwa
- Columbia University, New York, New York 10027, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - W Ketchum
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - B Kirby
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Kirby
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Kobilarcik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Kreslo
- Universität Bern, Bern CH-3012, Switzerland
| | - I Lepetic
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - Y Li
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Lister
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - B R Littlejohn
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - S Lockwitz
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - D Lorca
- Universität Bern, Bern CH-3012, Switzerland
| | - W C Louis
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - M Luethi
- Universität Bern, Bern CH-3012, Switzerland
| | - B Lundberg
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - X Luo
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - A Marchionni
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S Marcocci
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - J Marshall
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - J Martin-Albo
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - D A Martinez Caicedo
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - K Mason
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mastbaum
- University of Chicago, Chicago, Illinois 60637, USA
| | - V Meddage
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - T Mettler
- Universität Bern, Bern CH-3012, Switzerland
| | - J Mills
- Tufts University, Medford, Massachusetts 02155, USA
| | - K Mistry
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Mogan
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - J Moon
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Mooney
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - C D Moore
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Mousseau
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Murphy
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - R Murrells
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - D Naples
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - P Nienaber
- Saint Mary's University of Minnesota, Winona, Minnesota 55987, USA
| | - J Nowak
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - O Palamara
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Pandey
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - V Paolone
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Papadopoulou
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Papavassiliou
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - S F Pate
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - Z Pavlovic
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Piasetzky
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - D Porzio
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - G Pulliam
- Syracuse University, Syracuse, New York 13244, USA
| | - X Qian
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - J L Raaf
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A Rafique
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - L Ren
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - L Rochester
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - H E Rogers
- Colorado State University, Fort Collins, Colorado 80523, USA
| | | | | | - B Russell
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - G Scanavini
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D W Schmitz
- University of Chicago, Chicago, Illinois 60637, USA
| | - A Schukraft
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Seligman
- Columbia University, New York, New York 10027, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - R Sharankova
- Tufts University, Medford, Massachusetts 02155, USA
| | - J Sinclair
- Universität Bern, Bern CH-3012, Switzerland
| | - A Smith
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - E L Snider
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Soderberg
- Syracuse University, Syracuse, New York 13244, USA
| | | | - S R Soleti
- Harvard University, Cambridge, Massachusetts 02138, USA
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - P Spentzouris
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Stancari
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J St John
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Strauss
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Sutton
- Columbia University, New York, New York 10027, USA
| | - S Sword-Fehlberg
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - A M Szelc
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - N Tagg
- Otterbein University, Westerville, Ohio 43081, USA
| | - W Tang
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - K Terao
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - M Thomson
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - R T Thornton
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - M Toups
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y-T Tsai
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - S Tufanli
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - T Usher
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - W Van De Pontseele
- Harvard University, Cambridge, Massachusetts 02138, USA
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - R G Van de Water
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - B Viren
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Weber
- Universität Bern, Bern CH-3012, Switzerland
| | - H Wei
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | | | - K Wierman
- Pacific Northwest National Laboratory (PNNL), Richland, Washington 99352, USA
| | - Z Williams
- University of Texas, Arlington, Texas 76019, USA
| | - S Wolbers
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Wongjirad
- Tufts University, Medford, Massachusetts 02155, USA
| | - K Woodruff
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - W Wu
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Yang
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Yarbrough
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - L E Yates
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G P Zeller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Zennamo
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Zhang
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
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Adams C, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Auger M, Balasubramanian S, Baller B, Barnes C, Barr G, Bass M, Bay F, Bhat A, Bhattacharya K, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Carr R, Castillo Fernandez R, Cavanna F, Cerati G, Chen H, Chen Y, Church E, Cianci D, Cohen E, Collin G, Conrad J, Convery M, Cooper-Troendle L, Crespo-Anadón J, Del Tutto M, Devitt D, Diaz A, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Esquivel J, Evans J, Fadeeva A, Fitzpatrick R, Fleming B, Franco D, Furmanski A, Garcia-Gamez D, Genty V, Goeldi D, Gollapinni S, Goodwin O, Gramellini E, Greenlee H, Grosso R, Guenette R, Guzowski P, Hackenburg A, Hamilton P, Hen O, Hewes J, Hill C, Horton-Smith G, Hourlier A, Huang EC, James C, Jan de Vries J, Ji X, Jiang L, Johnson R, Joshi J, Jostlein H, Jwa YJ, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, Lepetic I, Li Y, Lister A, Littlejohn B, Lockwitz S, Lorca D, Louis W, Luethi M, Lundberg B, Luo X, Marchionni A, Marcocci S, Mariani C, Marshall J, Martin-Albo J, Martinez Caicedo D, Mastbaum A, Meddage V, Mettler T, Mistry K, Mogan A, Moon J, Mooney M, Moore C, Mousseau J, Murphy M, Murrells R, Naples D, Nienaber P, Nowak J, Palamara O, Pandey V, Paolone V, Papadopoulou A, Papavassiliou V, Pate S, Pavlovic Z, Piasetzky E, Porzio D, Pulliam G, Qian X, Raaf J, Rafique A, Ren L, Rochester L, Ross-Lonergan M, Rudolf von Rohr C, 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, John JS, Strauss T, Sutton K, Sword-Fehlberg S, Szelc A, Tagg N, Tang W, Terao K, Thomson M, Thornton R, Toups M, Tsai YT, Tufanli S, Usher T, Van De Pontseele W, Van de Water R, Viren B, Weber M, Wei H, Wickremasinghe D, Wierman K, Williams Z, Wolbers S, Wongjirad T, Woodruff K, Yang T, Yarbrough G, Yates L, Zeller G, Zennamo J, Zhang C. First measurement of
νμ
charged-current
π0
production on argon with the MicroBooNE detector. Int J Clin Exp Med 2019. [DOI: 10.1103/physrevd.99.091102] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Woodruff K, Roberts SCM. Partisanship, Anecdotes, and Evidence in State Legislators’ Policymaking on Abortion. Contraception 2019. [DOI: 10.1016/j.contraception.2019.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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15
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Acciarri R, Adams C, An R, Anthony J, Asaadi J, Auger M, Bagby L, Balasubramanian S, Baller B, Barnes C, Barr G, Bass M, Bay F, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Carls B, Castillo Fernandez R, Cavanna F, Chen H, Church E, Cianci D, Cohen E, Collin GH, Conrad JM, Convery M, Crespo-Anadón JI, Del Tutto M, Devitt A, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Esquivel J, Fadeeva AA, Fleming BT, Foreman W, Furmanski AP, Garcia-Gamez D, Garvey GT, Genty V, Goeldi D, Gollapinni S, Graf N, Gramellini E, Greenlee H, Grosso R, Guenette R, Hackenburg A, Hamilton P, Hen O, Hewes J, Hill C, Ho J, Horton-Smith G, Hourlier A, Huang EC, James C, Jan de Vries J, Jen CM, Jiang L, Johnson RA, Joshi J, Jostlein H, Kaleko D, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, Laube A, Li Y, Lister A, Littlejohn BR, Lockwitz S, Lorca D, Louis WC, Luethi M, Lundberg B, Luo X, Marchionni A, Mariani C, Marshall J, Martinez Caicedo DA, Meddage V, Miceli T, Mills GB, Moon J, Mooney M, Moore CD, Mousseau J, Murrells R, Naples D, Nienaber P, Nowak J, Palamara O, Paolone V, Papavassiliou V, Pate SF, Pavlovic Z, Piasetzky E, Porzio D, Pulliam G, Qian X, Raaf JL, Rafique A, Rochester L, Rudolf von Rohr C, Russell B, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sinclair J, Smith A, Snider EL, Soderberg M, Söldner-Rembold S, Soleti SR, Spentzouris P, Spitz J, St. John J, Strauss T, Szelc AM, Tagg N, Terao K, Thomson M, Toups M, Tsai YT, Tufanli S, Usher T, Van De Pontseele W, Van de Water RG, Viren B, Weber M, Wickremasinghe DA, Wolbers S, Wongjirad T, Woodruff K, Yang T, Yates L, Zeller GP, Zennamo J, Zhang C. The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector. Eur Phys J C Part Fields 2018; 78:82. [PMID: 31258394 PMCID: PMC6566216 DOI: 10.1140/epjc/s10052-017-5481-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Accepted: 12/18/2017] [Indexed: 06/09/2023]
Abstract
The development and operation of liquid-argon time-projection chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit the imaging capabilities offered by this technology. Whereas the human brain can excel at identifying features in the recorded events, it is a significant challenge to develop an automated, algorithmic solution. The Pandora Software Development Kit provides functionality to aid the design and implementation of pattern-recognition algorithms. It promotes the use of a multi-algorithm approach to pattern recognition, in which individual algorithms each address a specific task in a particular topology. Many tens of algorithms then carefully build up a picture of the event and, together, provide a robust automated pattern-recognition solution. This paper describes details of the chain of over one hundred Pandora algorithms and tools used to reconstruct cosmic-ray muon and neutrino events in the MicroBooNE detector. Metrics that assess the current pattern-recognition performance are presented for simulated MicroBooNE events, using a selection of final-state event topologies.
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Affiliation(s)
- R. Acciarri
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - C. Adams
- Harvard University, Cambridge, MA 02138 USA
- Yale University, New Haven, CT 06520 USA
| | - R. An
- Illinois Institute of Technology (IIT), Chicago, IL 60616 USA
| | - J. Anthony
- University of Cambridge, Cambridge, CB3 0HE UK
| | - J. Asaadi
- University of Texas, Arlington, TX 76019 USA
| | - M. Auger
- Universität Bern, 3012 Bern, Switzerland
| | - L. Bagby
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | | | - B. Baller
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - C. Barnes
- University of Michigan, Ann Arbor, MI 48109 USA
| | - G. Barr
- University of Oxford, Oxford, OX1 3RH UK
| | - M. Bass
- University of Oxford, Oxford, OX1 3RH UK
| | - F. Bay
- TUBITAK Space Technologies Research Institute, METU Campus, 06800 Ankara, Turkey
| | - M. Bishai
- Brookhaven National Laboratory (BNL), Upton, NY 11973 USA
| | - A. Blake
- Lancaster University, Lancaster, LA1 4YW UK
| | - T. Bolton
- Kansas State University (KSU), Manhattan, KS 66506 USA
| | | | | | - B. Carls
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | | | - F. Cavanna
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - H. Chen
- Brookhaven National Laboratory (BNL), Upton, NY 11973 USA
| | - E. Church
- Pacific Northwest National Laboratory (PNNL), Richland, WA 99352 USA
| | - D. Cianci
- Columbia University, New York, NY 10027 USA
- The University of Manchester, Manchester, M13 9PL UK
| | - E. Cohen
- Tel Aviv University, 69978 Tel Aviv, Israel
| | - G. H. Collin
- Massachusetts Institute of Technology (MIT), Cambridge, MA 02139 USA
| | - J. M. Conrad
- Massachusetts Institute of Technology (MIT), Cambridge, MA 02139 USA
| | - M. Convery
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | | | | | - A. Devitt
- Lancaster University, Lancaster, LA1 4YW UK
| | - S. Dytman
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - B. Eberly
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | | | | | | | | | | | - W. Foreman
- University of Chicago, Chicago, IL 60637 USA
| | | | | | - G. T. Garvey
- Los Alamos National Laboratory (LANL), Los Alamos, NM 87545 USA
| | - V. Genty
- Columbia University, New York, NY 10027 USA
| | - D. Goeldi
- Universität Bern, 3012 Bern, Switzerland
| | - S. Gollapinni
- Kansas State University (KSU), Manhattan, KS 66506 USA
- University of Tennessee, Knoxville, TN 37996 USA
| | - N. Graf
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | | | - H. Greenlee
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - R. Grosso
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - R. Guenette
- Harvard University, Cambridge, MA 02138 USA
- University of Oxford, Oxford, OX1 3RH UK
| | | | | | - O. Hen
- Massachusetts Institute of Technology (MIT), Cambridge, MA 02139 USA
| | - J. Hewes
- The University of Manchester, Manchester, M13 9PL UK
| | - C. Hill
- The University of Manchester, Manchester, M13 9PL UK
| | - J. Ho
- University of Chicago, Chicago, IL 60637 USA
| | | | - A. Hourlier
- Massachusetts Institute of Technology (MIT), Cambridge, MA 02139 USA
| | - E.-C. Huang
- Los Alamos National Laboratory (LANL), Los Alamos, NM 87545 USA
| | - C. James
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | | | - C.-M. Jen
- Center for Neutrino Physics, Virginia Tech, Blacksburg, VA 24061 USA
| | - L. Jiang
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | | | - J. Joshi
- Brookhaven National Laboratory (BNL), Upton, NY 11973 USA
| | - H. Jostlein
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - D. Kaleko
- Columbia University, New York, NY 10027 USA
| | - G. Karagiorgi
- Columbia University, New York, NY 10027 USA
- The University of Manchester, Manchester, M13 9PL UK
| | - W. Ketchum
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - B. Kirby
- Brookhaven National Laboratory (BNL), Upton, NY 11973 USA
| | - M. Kirby
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - T. Kobilarcik
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - I. Kreslo
- Universität Bern, 3012 Bern, Switzerland
| | - A. Laube
- University of Oxford, Oxford, OX1 3RH UK
| | - Y. Li
- Brookhaven National Laboratory (BNL), Upton, NY 11973 USA
| | - A. Lister
- Lancaster University, Lancaster, LA1 4YW UK
| | | | - S. Lockwitz
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - D. Lorca
- Universität Bern, 3012 Bern, Switzerland
| | - W. C. Louis
- Los Alamos National Laboratory (LANL), Los Alamos, NM 87545 USA
| | - M. Luethi
- Universität Bern, 3012 Bern, Switzerland
| | - B. Lundberg
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - X. Luo
- Yale University, New Haven, CT 06520 USA
| | - A. Marchionni
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - C. Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, VA 24061 USA
| | - J. Marshall
- University of Cambridge, Cambridge, CB3 0HE UK
| | | | - V. Meddage
- Kansas State University (KSU), Manhattan, KS 66506 USA
| | - T. Miceli
- New Mexico State University (NMSU), Las Cruces, NM 88003 USA
| | - G. B. Mills
- Los Alamos National Laboratory (LANL), Los Alamos, NM 87545 USA
| | - J. Moon
- Massachusetts Institute of Technology (MIT), Cambridge, MA 02139 USA
| | - M. Mooney
- Brookhaven National Laboratory (BNL), Upton, NY 11973 USA
| | - C. D. Moore
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - J. Mousseau
- University of Michigan, Ann Arbor, MI 48109 USA
| | - R. Murrells
- The University of Manchester, Manchester, M13 9PL UK
| | - D. Naples
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - P. Nienaber
- Saint Mary’s University of Minnesota, Winona, MN 55987 USA
| | - J. Nowak
- Lancaster University, Lancaster, LA1 4YW UK
| | - O. Palamara
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - V. Paolone
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | | | - S. F. Pate
- New Mexico State University (NMSU), Las Cruces, NM 88003 USA
| | - Z. Pavlovic
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | | | - D. Porzio
- The University of Manchester, Manchester, M13 9PL UK
| | - G. Pulliam
- Syracuse University, Syracuse, NY 13244 USA
| | - X. Qian
- Brookhaven National Laboratory (BNL), Upton, NY 11973 USA
| | - J. L. Raaf
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - A. Rafique
- Kansas State University (KSU), Manhattan, KS 66506 USA
| | - L. Rochester
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | | | - B. Russell
- Yale University, New Haven, CT 06520 USA
| | | | - A. Schukraft
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | | | | | | | - A. Smith
- University of Cambridge, Cambridge, CB3 0HE UK
| | - E. L. Snider
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | | | | | | | - P. Spentzouris
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - J. Spitz
- University of Michigan, Ann Arbor, MI 48109 USA
| | - J. St. John
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - T. Strauss
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - A. M. Szelc
- The University of Manchester, Manchester, M13 9PL UK
| | - N. Tagg
- Otterbein University, Westerville, OH 43081 USA
| | - K. Terao
- Columbia University, New York, NY 10027 USA
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - M. Thomson
- University of Cambridge, Cambridge, CB3 0HE UK
| | - M. Toups
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - Y.-T. Tsai
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - S. Tufanli
- Yale University, New Haven, CT 06520 USA
| | - T. Usher
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | | | | | - B. Viren
- Brookhaven National Laboratory (BNL), Upton, NY 11973 USA
| | - M. Weber
- Universität Bern, 3012 Bern, Switzerland
| | | | - S. Wolbers
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - T. Wongjirad
- Massachusetts Institute of Technology (MIT), Cambridge, MA 02139 USA
| | - K. Woodruff
- New Mexico State University (NMSU), Las Cruces, NM 88003 USA
| | - T. Yang
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - L. Yates
- Massachusetts Institute of Technology (MIT), Cambridge, MA 02139 USA
| | - G. P. Zeller
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL 60510 USA
| | - J. Zennamo
- University of Chicago, Chicago, IL 60637 USA
| | - C. Zhang
- Brookhaven National Laboratory (BNL), Upton, NY 11973 USA
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Hargarter L, Gopal S, Xu H, McQuarrie K, Savitz A, Nuamah I, Woodruff K, Mathews M. Effect of Two Long-acting Treatments, The Paliperidone Palmitate 1-month and 3-month Formulations on Caregiver Burden in European patients with Schizophrenia. Eur Psychiatry 2017. [DOI: 10.1016/j.eurpsy.2017.01.2141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
IntroductionSchizophrenia puts a significant burden on caregivers.ObjectivesTo explore the effects of two long-acting treatments (LAT), paliperidone palmitate 1-month and 3-month formulations on caregiver burden (CGB) in European patients with schizophrenia using the Involvement Evaluation Questionnaire (IEQ)AimsTo conduct a subgroup analysis of two randomized, double-blind studies (NCT01515423 and NCT01529515).MethodsCaregivers (≥ 1 h of contact/week with the patients) were offered to complete the IEQ (31 items, each scoring: 0–4; total score: sum of 27 items [0–108]).ResultsAmong 756 European caregivers (53% parents, 18% spouse/partner or girl/boyfriend, 10% sister/brother), 60% reported a CGB of ≥ 32 hours/week at open-label baseline (BL-OL). CGB reduced significantly for patients with both BL-OL and at least one double-blind IEQ sum-score (n = 433): mean improvement [SD] (9.9 [12.66], P < 0.001) from BL-OL (mean [SD] 26.0 [13.30]) to study end (16.0 [10.47]); (reduction in burden associated with worrying [2.9 points] and urging [4.3 points]). CGB significantly improved in patients on prior oral antipsychotics post-switching to LAT with less leisure days impacted and less hours spent in caregiving (P < 0.001). There was significant relationship between improvements and relapse status, patient age (P < 0.001), age at diagnosis (P < 0.002), and number of prior psychiatric hospitalizations in the last 24 months (P < 0.05). Prior use of long-acting antipsychotics other than paliperidone palmitate 1-month or 3-month formulations at BL-OL and duration of prior psychiatric hospitalizations in the last 24 months did not show significant effect on improvements.ConclusionSwitching from an oral antipsychotic to an LAT can provide a meaningful and significant improvement in caregiver burden.Disclosure of interestAll authors are employees of Janssen Research & Development, LLC and hold stocks in the company.
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Bortoletto P, Confino R, Lyttle M, Smith B, Woodruff K, Pavone M. Practices and attitudes regarding women undergoing fertility preservation: a survey of the national physicians cooperative (NPC). Fertil Steril 2016. [DOI: 10.1016/j.fertnstert.2015.12.059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Wittrant Y, Gorin Y, Woodruff K, Horn D, Abboud HE, Mohan S, Abboud-Werner SL. High d(+)glucose concentration inhibits RANKL-induced osteoclastogenesis. Bone 2008; 42:1122-30. [PMID: 18378205 PMCID: PMC2696157 DOI: 10.1016/j.bone.2008.02.006] [Citation(s) in RCA: 113] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2007] [Revised: 02/01/2008] [Accepted: 02/06/2008] [Indexed: 12/28/2022]
Abstract
Diabetes is a chronic disease associated with hyperglycemia and altered bone metabolism that may lead to complications including osteopenia, increased risk of fracture and osteoporosis. Hyperglycemia has been implicated in the pathogenesis of diabetic bone disease; however, the biologic effect of glucose on osteoclastogenesis is unclear. In the present study, we examined the effect of high d(+)glucose (d-Glc) and l(-)glucose (l-Glc; osmotic control) on RANKL-induced osteoclastogenesis using RAW264.7 cells and Bone Marrow Macrophages (BMM) as models. Cells were exposed to sustained high glucose levels to mimic diabetic conditions. Osteoclast formation was analyzed using tartrate resistant acid phosphatase (TRACP) assay, expression of calcitonin receptor (CTR) and cathepsin K mRNAs, and cultures were examined for reactive oxygen species (ROS) using dichlorodihydrofluorescein diacetate (DCF-DA) fluorescence, caspase-3 and Nuclear Factor kappaB (NF-kappaB) activity. Cellular function was assessed using a migration assay. Results show, for the first time, that high d-Glc inhibits osteoclast formation, ROS production, caspase-3 activity and migration in response to RANKL through a metabolic pathway. Our findings also suggest that high d-Glc may alter RANKL-induced osteoclast formation by inhibiting redox-sensitive NF-kappaB activity through an anti-oxidative mechanism. This study increases our understanding of the role of glucose in diabetes-associated bone disease. Our data suggest that high glucose levels may alter bone turnover by decreasing osteoclast differentiation and function in diabetes and provide new insight into the biologic effects of glucose on osteoclastogenesis.
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Affiliation(s)
- Y Wittrant
- Department of Pathology, University of Texas Health Science Center, 7703 Floyd Curl Drive and South Texas Veteran’s Health Care System, Audi L. Murphy Division, San Antonio, TX 78229, United States
- Address correspondence to: Yohann Wittrant, Ph.D., University of Texas Health Science Center, Department of Pathology, 7703 Floyd Curl Drive, San Antonio, Texas 78229, Phone/FAX: 210-567-1913/210-567-4819, or
| | - Y Gorin
- Department of Nephrology, University of Texas Health Science Center, 7703 Floyd Curl Drive and South Texas Veteran’s Health Care System, Audi L. Murphy Division, San Antonio, TX 78229, United States
| | - K Woodruff
- Department of Pathology, University of Texas Health Science Center, 7703 Floyd Curl Drive and South Texas Veteran’s Health Care System, Audi L. Murphy Division, San Antonio, TX 78229, United States
| | - D Horn
- Department of Pathology, University of Texas Health Science Center, 7703 Floyd Curl Drive and South Texas Veteran’s Health Care System, Audi L. Murphy Division, San Antonio, TX 78229, United States
| | - HE Abboud
- Department of Nephrology, University of Texas Health Science Center, 7703 Floyd Curl Drive and South Texas Veteran’s Health Care System, Audi L. Murphy Division, San Antonio, TX 78229, United States
| | - S Mohan
- Department of Pathology, University of Texas Health Science Center, 7703 Floyd Curl Drive and South Texas Veteran’s Health Care System, Audi L. Murphy Division, San Antonio, TX 78229, United States
| | - SL Abboud-Werner
- Department of Pathology, University of Texas Health Science Center, 7703 Floyd Curl Drive and South Texas Veteran’s Health Care System, Audi L. Murphy Division, San Antonio, TX 78229, United States
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Wittrant Y, Bhandari BS, Abboud H, Benson N, Woodruff K, MacDougall M, Abboud-Werner S. PDGF up-regulates CSF-1 gene transcription in ameloblast-like cells. J Dent Res 2008; 87:33-8. [PMID: 18096890 DOI: 10.1177/154405910808700105] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Macrophage colony-stimulating factor (CSF-1) is a key regulatory cytokine for amelogenesis, and ameloblasts synthesize CSF-1. We hypothesized that PDGF stimulates DNA synthesis and regulates CSF-1 in these cells. We determined the effect of PDGF on CSF-1 expression using MEOE-3M ameloblasts as a model. By RT-PCR, MEOE-3M expressed PDGFRs and PDGF A- and B-chain mRNAs. PDGF-BB increased DNA synthesis and up-regulated CSF-1 mRNA and protein in MEOE-3M. Cells transfected with CSF-1 promoter deletion constructs were analyzed. A PDGF-responsive region between -1.7 and -0.795 kb, containing a consensus Pea3 binding motif, was identified. Electrophoretic mobility shift assay (EMSA) showed that PDGF-BB stimulated protein binding to this motif that was inhibited in the presence of anti-Pea3 antibody. Analysis of these data provides the first evidence that PDGF-BB is a mitogen for MEOE-3M and increases CSF-1 protein levels, predominantly by transcription. Elucidation of the cellular pathways that control CSF-1 expression may provide novel strategies for the regulation of enamel matrix formation.
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Affiliation(s)
- Y Wittrant
- Department of Pathology, University of Texas Health Science Center, San Antonio, TX 78229, USA
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Remák E, Mullins CD, Akobundu E, Charbonneau C, Woodruff K. Economic evaluations of sunitinib versus interferon-alfa (IFN-α) in first-line metastatic renal cell carcinoma (mRCC). J Clin Oncol 2007. [DOI: 10.1200/jco.2007.25.18_suppl.6607] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
6607 Background: A randomized phase III trial of sunitinib vs. IFN-a as first-line therapy for patients with mRCC is ongoing. An interim analysis of this study demonstrated superiority for the primary endpoint, progression-free survival (PFS), in the sunitinib arm vs. the IFN-a arm (median PFS = 11 months [95% CI: 10–12] vs. 4 months [95% CI: 4–6]; P<0.000001). Because of the clinical significance of these results, the objective of this study was to demonstrate the economic value of sunitinib vs. IFN-a in this setting from a US third-party payer perspective. Methods: Two Markov models with a 5- and 10-year time horizon were developed to evaluate the cost- effectiveness of sunitinib vs. IFN-a. The models projected survival and costs in 6-week cycles based on extrapolation of the trial survival data. Model 1 looked at first-line treatment followed by palliative care only, while Model 2 incorporated second-line treatment. Effectiveness was measured in terms of progression-free months (PFM) in Model 1, and life-years (LY) gained and quality adjusted life-years (QALY) gained in Model 2. Resource utilization included drugs, tests, scans, monitoring, physician visits, hospitalizations and treatment of adverse events. Costs and survival benefits were discounted annually at 3% and 5% in Model 1 and 2, respectively. All costs were adjusted to 2006 US dollars. Scenario and probabilistic sensitivity analyses were conducted. Results: Projected PFS and overall survival were longer for sunitinib than for IFN-a. The incremental cost-effectiveness ratios of sunitinib vs. IFN-a over 5- and 10-years were $7,769 and $7,782/PFM, respectively, in Model 1. Model 2 results at 10 years were $67,215/LY and $52,593/QALY gained. The key drivers of the model results were survival and sunitinib drug costs. Both models were robust in the tested scenarios. Conclusions: Both analyses found that sunitinib is a cost-effective alternative to IFN-a as first-line treatment in mRCC, with cost-effectiveness ratios within the established threshold that society is willing to pay for health benefits (i.e. $50,000–100,000/LY or QALY). No significant financial relationships to disclose.
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Affiliation(s)
- E. Remák
- United BioSource Corporation, London, United Kingdom; University of Maryland School of Pharmacy, Baltimore, MD; Pfizer Inc., New York, NY
| | - C. D. Mullins
- United BioSource Corporation, London, United Kingdom; University of Maryland School of Pharmacy, Baltimore, MD; Pfizer Inc., New York, NY
| | - E. Akobundu
- United BioSource Corporation, London, United Kingdom; University of Maryland School of Pharmacy, Baltimore, MD; Pfizer Inc., New York, NY
| | - C. Charbonneau
- United BioSource Corporation, London, United Kingdom; University of Maryland School of Pharmacy, Baltimore, MD; Pfizer Inc., New York, NY
| | - K. Woodruff
- United BioSource Corporation, London, United Kingdom; University of Maryland School of Pharmacy, Baltimore, MD; Pfizer Inc., New York, NY
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Werner SA, Gluhak-Heinrich J, Woodruff K, Wittrant Y, Cardenas L, Roudier M, MacDougall M. Targeted expression of csCSF-1 in op/op mice ameliorates tooth defects. Arch Oral Biol 2006; 52:432-43. [PMID: 17126805 PMCID: PMC1890041 DOI: 10.1016/j.archoralbio.2006.10.018] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2006] [Revised: 10/13/2006] [Accepted: 10/21/2006] [Indexed: 10/23/2022]
Abstract
OBJECTIVE The aim of this study was to characterize the tooth phenotype of CSF-1-deficient op/op mice and determine whether expression of csCSF-1 in these mice has a role in primary tooth matrix formation. DESIGN Ameloblasts and odontoblasts, isolated from wt/wt frozen sections using laser capture microdissection, were analysed for csCSF-1, sCSF-1 and CSF-1R mRNA by RT-PCR. Mandibles, excised from 8 days op/op and wt/wt littermates, were examined for tooth morphology as well as amelogenin and DMP1 expression using in situ hybridisation. op/opCS transgenic mice, expressing csCSF-1 in teeth and bone using the osteocalcin promoter, were generated. Skeletal X-rays and histomorphometry were performed; teeth were analysed for morphology and matrix proteins. RESULTS Normal dental cells in vivo express both CSF-1 isoforms and CSF-1R. Compared to wt/wt, op/op teeth prior to eruption showed altered dental cell morphology and dramatic reduction in DMP1 transcripts. op/opCS mice showed marked resolution of osteopetrosis, tooth eruption and teeth that resembled amelogenesis imperfecta-like phenotype. At 3 weeks, op/op teeth showed severe enamel and dentin defects and barely detectable amelogenin and DMP1. In op/opCS mice, DMP1 in odontoblasts increased to near normal and dentin morphology was restored; amelogenin also increased. Enamel integrity improved in op/opCS, although it was thinner than wt enamel. CONCLUSIONS Results demonstrate that ameloblasts and odontoblasts are a source and potential target of CSF-1 isoforms in vivo. Expression of csCSF-1 within the tooth microenvironment is essential for normal tooth morphogenesis and may provide a mechanism for coordinating the process of tooth eruption with endogenous matrix formation.
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Affiliation(s)
- S Abboud Werner
- Department of Pathology, University of Texas Health Science Center, 7703 Floyd Curl Drive and South Texas Veteran's Health Care System, Audi L. Murphy Division, San Antonio, TX 78229, USA.
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Heinrich J, Bsoul S, Barnes J, Woodruff K, Abboud S. CSF-1, RANKL and OPG regulate osteoclastogenesis during murine tooth eruption. Arch Oral Biol 2005; 50:897-908. [PMID: 16137499 DOI: 10.1016/j.archoralbio.2005.02.007] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2003] [Accepted: 02/10/2005] [Indexed: 11/21/2022]
Abstract
During tooth eruption, osteoclast-mediated bone resorption predominates in alveolar bone along the occlusal surface rather than in bone basal to the tooth. CSF-1, RANKL and OPG, regulatory molecules essential for osteoclastogenesis, are expressed during eruption. However, it is unclear if these cytokines exhibit an expression pattern that correlates with sites of osteoclastogenesis in vivo. To address this issue, mouse mandibles, isolated from 1 to 14 days postnatal, were analysed for osteoclast activity using tartrate-resistant acid phosphatase (TRAP) staining as well as colony-stimulating factor-1 (CSF-1), receptor activator of nuclear factor-kappa B ligand (RANKL) and osteoprotegerin (OPG) mRNA expression using in situ hybridisation. Results showed that CSF-1, RANKL and OPG are expressed in a distinct temporal and spatial manner. In the occlusal region, osteoclast activity was maximal at day 5 and correlated with a relative high expression of CSF-1 and RANKL compared to OPG. In basal bone at this time point, osteoclast activity decreased despite persistent CSF-1 expression and was associated with increased expression of OPG compared to RANKL. By day 8, osteoclastogenesis declined and correlated with upregulation of OPG at the occlusal and basal regions, with this effect continuing throughout eruption. These findings suggest that the spatiotemporal pattern and relative abundance of CSF-1, RANKL and OPG during eruption are key determinants of site-specific osteoclast activity in bone surrounding the tooth. Targeting these cytokines to specific regions in alveolar bone may provide a mechanism for regulating osteoclastogenesis in dental disorders associated with altered tooth eruption.
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Affiliation(s)
- J Heinrich
- Department of Orthodontics, University of Texas Health Science Center, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA
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Abboud SL, Ghosh-Choudhury N, Liu LC, Shen V, Woodruff K. Osteoblast-specific targeting of soluble colony-stimulating factor-1 increases cortical bone thickness in mice. J Bone Miner Res 2003; 18:1386-94. [PMID: 12929928 DOI: 10.1359/jbmr.2003.18.8.1386] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
UNLABELLED The soluble and membrane-bound forms of CSF-1 are synthesized by osteoblasts and stromal cells in the bone microenvironment. Transgenic mice, generated to selectively express sCSF-1 in bone, showed increased cortical thickness in the femoral diaphysis caused by new bone formation along the endosteal surface. The ability of sCSF-1 to enhance bone cell activity in vivo is potentially relevant for increasing cortical bone in a variety of disorders. INTRODUCTION The soluble form of colony-stimulating factor-1 (sCSF-1) and the membrane-bound form of CSF-1 (mCSF-1) have been shown to support osteoclastogenesis in vitro; however, the effect of each peptide on bone remodeling in vivo is unclear. To determine the effect of sCSF-1, selectively expressed in bone, the skeletal phenotype of transgenic mice harboring the human sCSF-1 cDNA under the control of the osteocalcin promoter was assessed. METHODS At 5 and 14 weeks, mice were analyzed for CSF-1 protein levels, weighed, and X-rayed, and femurs were removed for peripheral quantitative computed tomography, histology, and histomorphometry. RESULTS High levels of human sCSF-1 were detected in bone extracts and, to a lesser extent, in plasma. Adult transgenic mice showed normal body weight and increased circulating monocytic cells. At 5 weeks, the femoral diaphysis was similar in CSF-1T and wt/wt littermates. However, by 14 weeks, the femoral diaphysis in CSF-1T mice showed increased cortical thickness and bone mineral density. In contrast to the diaphysis, the femoral metaphysis of CSF-1T mice showed normal cancellous bone comparable with wt/wt littermates at each time point. Histological sections demonstrated increased woven bone along the endosteal surface of the diaphysis and intracortical remodeling. Fluorochrome-labeling analysis confirmed endocortical bone formation in CSF-1T, with a 3.1-fold increase in the percentage of double-labeled surfaces and a 3.6-fold increase in the bone formation rate compared with wt/wt mice. Although remodeling resulted in a slightly porous cortex, sCSF-1 preferentially stimulated endocortical bone formation, leading to increased cortical thickness. CONCLUSIONS These findings indicate that sCSF-1 is a key determinant of bone cell activity in the corticoendosteal envelope.
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Affiliation(s)
- S L Abboud
- Audie L. Murphy Division, The South Texas Veteran's Health Care System, San Antonio, Texas, USA.
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Bsoul S, Terezhalmy G, Abboud H, Woodruff K, Abboud SL. PDGF BB and bFGF stimulate DNA synthesis and upregulate CSF-1 and MCP-1 gene expression in dental follicle cells. Arch Oral Biol 2003; 48:459-65. [PMID: 12749918 DOI: 10.1016/s0003-9969(03)00084-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
CSF-1 and MCP-1, released by dental follicle cells, stimulate the influx of monocytes into the follicle sac and enhance the formation of osteoclasts that, in turn, resorb alveolar bone for the eruption pathway. PDGF and bFGF, released by cells adjacent to the follicle or by activated monocytes, are prime candidates that may regulate CSF-1 and MCP-1 gene expression. The present study demonstrates that PDGF and bFGF are mitogens for dental follicle cells and stimulate CSF-1 and MCP-1 mRNA, but with different time course kinetics. Peak induction of CSF-1 mRNA was observed at 6-8h, while maximal MCP-1 induction was observed at 2h. These findings suggest that MCP-1 is an early chemotactic signal for monocytes and that subsequent release of CSF-1 may act synergistically with MCP-1 to enhance monocyte influx. Further understanding of the molecular mechanisms by which cytokines regulate CSF-1 and MCP-1 may lead to more effective treatment regimens for disorders associated with abnormal tooth eruption.
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Affiliation(s)
- S Bsoul
- Department of Dental Diagnostic Science, University of Texas Health Science Center and Audie Murphy VA Hospital, San Antonio, TX 78284, USA
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25
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Abboud SL, Woodruff K, Liu C, Shen V, Ghosh-Choudhury N. Rescue of the osteopetrotic defect in op/op mice by osteoblast-specific targeting of soluble colony-stimulating factor-1. Endocrinology 2002; 143:1942-9. [PMID: 11956177 DOI: 10.1210/endo.143.5.8775] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Soluble colony-stimulating factor-1 (sCSF-1) and membrane bound CSF-1 are synthesized by osteoblasts and stromal cells. However, the precise role of each form in osteoclastogenesis is unclear. In the op/op mouse, absence of osteoblast-derived CSF-1 leads to decreased osteoclasts and osteopetrosis. To determine whether sCSF-1 gene replacement can cure the osteopetrotic defect, we took advantage of the osteoblast specificity of the osteocalcin promoter to selectively express sCSF-1 in the bone of op/op mice. Transgenic mice harboring the human sCSF-1 cDNA under the control of the osteocalcin promoter were generated and cross-bred with heterozygous op/wt mice to establish op/op mutants expressing the transgene (op/opT). The op/op genotype and transgene expression were confirmed by PCR and Southern blot analysis, respectively. High levels of human sCSF-1 protein were selectively expressed in bone. At 2(1/2) wk, op/opT mice showed normal growth and tooth eruption. Femurs removed at 5 and 14 wk were analyzed by peripheral quantitative computed tomography and histomorphometry. The abnormal bone mineral density, cancellous bone volume, and growth plate width observed in op/op mice was completely reversed in op/opT mice by 5 wk, and this effect persisted at 14 wk, with measurements comparable with wt/wt mice at each time point. Correction of the skeletal abnormalities in the 5-wk-old op/opT mice correlated with a marked increase in the total osteoclast number, and their number per millimeter of bone surface compared with that of op/op mutants. Osteoclast number was maintained at 14 wk in op/opT mice and morphologically resembled wt/wt osteoclasts. These results indicate that sCSF-1 is sufficient to drive normal osteoclast development and that the osteocalcin promoter provides an efficient tool for delivery of exogenous genes to the bone. Moreover, targeting sCSF-1 to osteoblasts in the bone microenvironment may be a potentially useful therapeutic modality for treating bone disorders.
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Affiliation(s)
- S L Abboud
- Department of Pathology, University of Texas Health Science Center, 7703 Floyd Curl Drive, San Antonio, TX 78284, USA.
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Abstract
The association of bone marrow failure and skeletal defects has been frequently noted, however, the genetic basis for most of these syndromes remains unclear. We describe a previously uncharacterized autosomal dominant syndrome of amegakaryocytic thrombocytopenia associated with radial-ulnar synostosis. The clinical features of this syndrome appear to be distinct from other similar conditions, including Fanconi's anaemia and thrombocytopenia-absent radii (TAR). The physical findings at diagnosis and clinical management of each case are detailed, as well as a discussion of this disorder in the context of other syndromes in which marrow failure and skeletal defects are prominent features. We also review recent developments in molecular genetics that may provide important clues to the underlying aetiology of this condition.
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Affiliation(s)
- A A Thompson
- Departments of Paediatrics, University of California, Los Angeles School of Medicine, Los Angeles, CA, USA.
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Reichler SA, Balk J, Brown ME, Woodruff K, Clark GB, Roux SJ. Light differentially regulates cell division and the mRNA abundance of pea nucleolin during de-etiolation. Plant Physiol 2001; 125:339-50. [PMID: 11154341 PMCID: PMC61014 DOI: 10.1104/pp.125.1.339] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2000] [Revised: 03/23/2000] [Accepted: 08/03/2000] [Indexed: 05/19/2023]
Abstract
The abundance of plant nucleolin mRNA is regulated during de-etiolation by phytochrome. A close correlation between the mRNA abundance of nucleolin and mitosis has also been previously reported. These results raised the question of whether the effects of light on nucleolin mRNA expression were a consequence of light effects on mitosis. To test this we compared the kinetics of light-mediated increases in cell proliferation with that of light-mediated changes in the abundance of nucleolin mRNA using plumules of dark-grown pea (Pisum sativum) seedlings. These experiments show that S-phase increases 9 h after a red light pulse, followed by M-phase increases in the plumule leaves at 12 h post-irradiation, a time course consistent with separately measured kinetics of red light-induced increases in the expression of cell cycle-regulated genes. These increases in cell cycle-regulated genes are photoreversible, implying that the light-induced increases in cell proliferation are, like nucleolin mRNA expression, regulated via phytochrome. Red light stimulates increases in the mRNA for nucleolin at 6 h post-irradiation, prior to any cell proliferation changes and concurrent with the reported timing of phytochrome-mediated increases of rRNA abundance. After a green light pulse, nucleolin mRNA levels increase without increasing S-phase or M-phase. Studies in animals and yeast indicate that nucleolin plays a significant role in ribosome biosynthesis. Consistent with this function, pea nucleolin can rescue nucleolin deletion mutants of yeast that are defective in rRNA synthesis. Our data show that during de-etiolation, the increased expression of nucleolin mRNA is more directly regulated by light than by mitosis.
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Affiliation(s)
- S A Reichler
- Section of Molecular Cell and Developmental Biology, University of Texas, Austin, Texas 78713, USA
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Ghosh-Choudhury N, Woodruff K, Qi W, Celeste A, Abboud SL, Ghosh Choudhury G. Bone morphogenetic protein-2 blocks MDA MB 231 human breast cancer cell proliferation by inhibiting cyclin-dependent kinase-mediated retinoblastoma protein phosphorylation. Biochem Biophys Res Commun 2000; 272:705-11. [PMID: 10860819 DOI: 10.1006/bbrc.2000.2844] [Citation(s) in RCA: 65] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Bone morphogenetic protein-2 (BMP-2) has been shown to act as an antiproliferative agent for a number of different cell types. We show that BMP-2 dose-dependently inhibits growth of MDA MB 231 human breast cancer cells. Epidermal growth factor (EGF) stimulates DNA synthesis and entry of these cells into the S-phase. BMP-2 inhibits EGF-induced DNA synthesis by arresting them in G1 phase of the cell cycle. BMP-2 increases the level of cyclin kinase inhibitor p21. Furthermore, we show that exposure of MDA MB 231 cells to BMP-2 stimulates association of p21 with cyclin D1 and with cyclin E resulting in the inhibition of their associated kinase activities. Finally, BMP-2 treatment is found to cause hypophosphorylation of the retinoblastoma protein (pRb), a key regulator of cell cycle progression. Our data provide a mechanism for the antiproliferative effect of BMP-2 in the breast cancer cells.
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Affiliation(s)
- N Ghosh-Choudhury
- Department of Pathology, University of Texas Health Science Center, San Antonio 78284-7750, USA.
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Grizzle W, Grody WW, Noll WW, Sobel ME, Stass SA, Trainer T, Travers H, Weedn V, Woodruff K. Recommended policies for uses of human tissue in research, education, and quality control. Ad Hoc Committee on Stored Tissue, College of American Pathologists. Arch Pathol Lab Med 1999; 123:296-300. [PMID: 10320140 DOI: 10.5858/1999-123-0296-rpfuoh] [Citation(s) in RCA: 40] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
As recipients of tissue and medical specimens, pathologists and other medical specialists regard themselves as stewards of patient tissues and consider it their duty to protect the best interests of both the individual patient and the public. The stewardship of slides, blocks, and other materials includes providing, under appropriate circumstances, patient materials for research, education, and quality control. The decision to provide human tissue for such purposes should be based on the specific (ie, direct patient care) and general (ie, furthering medical knowledge) interests of the patient and of society. The same standards of responsibility should apply to all medical professionals who receive and use specimens. This document proposes specific recommendations whereby both interests can be fostered safely, ethically, and reasonably.
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Affiliation(s)
- W Grizzle
- Department of Clinical Pathology, University of Alabama Medical School, Birmingham, USA
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Abstract
Decreased bone formation plays an important role in the development of lytic lesions during the late stage of multiple myeloma (MM). Release of insulin-like growth factor binding protein-4 (IGFBP4) by tumour cells adjacent to bone may inhibit IGF-I-stimulated osteoblast growth and contribute to decreased bone formation. The present study demonstrates that the human MM cell line, ARH-77, expresses IGFBP4 and, to a lesser extent, IGFBP6 mRNA and protein. IGFBP4 expression in myeloma cells may be modulated by cytokines released by stromal cells and T cells in the microenvironment. We tested the effect of recombinant interferon-gamma (INF) on IGFBP4 expression in ARH-77. INF increased IGFBP4 mRNA and protein levels at 12 h, with a decline to baseline by 24 h. In contrast, IGFBP4 was not regulated in response to IL-6, TNF-alpha, PDGF BB, bFGF, TGF-beta or the cAMP agonist, forskolin. In other systems. IGFBP4 may also be regulated post-transcriptionally by a protease that is activated by IGF-I or -II. Conditioned medium from ARH-77 cultures incubated with IGF-I or -II for up to 24 h failed to demonstrate proteolytic activity. Proteolysis was also not observed when conditioned medium containing exogenous rhIGFBP4 was incubated with IGF-I or -II under cell-free conditions. To determine if human myeloma tumours also express IGFBP4, total RNA was isolated from four tumour biopsies. All samples expressed detectable levels of IGFBP4 mRNA. These findings indicate that interferon-gamma may indirectly modulate bone formation via the the release of tumour-derived IGFBP4. suggesting that the immune system may influence bone turnover in MM. Failure of myeloma cells to release protease activity may promote IGFBP4 accumulation in the microenvironment during tumour growth.
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Affiliation(s)
- D Feliers
- Department of Medicine, University of Texas Health Science Center and Audie Murphy Veterans Hospital, San Antonio 78284, USA
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Grandaliano G, Choudhury GG, Poptic E, Woodruff K, Barnes JL, Abboud HE. Thrombin regulates PDGF expression in bovine glomerular endothelial cells. J Am Soc Nephrol 1998; 9:583-9. [PMID: 9555660 DOI: 10.1681/asn.v94583] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
The proteolytic enzyme thrombin is produced during activation of the coagulation pathway. Intraglomerular fibrin deposition and thrombosis are common pathologic features of several glomerular diseases, including transplant rejection. The effect of thrombin on platelet-derived growth factor (PDGF) production and DNA synthesis in well characterized bovine glomerular endothelial cells (G/endo) was studied. DNA synthesis was measured as the amount of [3H]thymidine incorporated into acid-insoluble material. PDGF released in the supernatant was measured by Western blotting and by a radioreceptor assay. PDGF mRNA expression was analyzed by solution hybridization, using human genomic PDGF B-chain (c-sis) and A-chain cDNA probes. G/endo constitutively secrete PDGF activity in serum-free medium. Thrombin stimulates PDGF production and increases the expression of mRNA that hybridizes with labeled B-chain but not A-chain probe, whereas epidermal growth factor and transforming growth factor-alpha stimulate the expression of PDGF A-chain mRNA. In addition, thrombin stimulates DNA synthesis with a peak effect at 24 h. Unlike endothelial cells from other microvascular beds, G/endo did not respond to any of the three PDGF isoforms BB, AB, or AA. These data demonstrate that bovine G/endo produce PDGF and that thrombin stimulates de novo synthesis of PDGF from these cells. Because mesangial, but not bovine, G/endo express PDGF receptors, PDGF released by G/endo is likely to modulate mesangial cell functions such as proliferation and matrix production by means of a paracrine mechanism.
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Affiliation(s)
- G Grandaliano
- Department of Medicine, University of Texas Health Science Center at San Antonio, Texas 78284-7882, USA
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Abstract
Cultured hepatic stellate cells (HSCs), the cell type primarily involved in the progression of liver fibrosis, secrete insulin-like growth factor-I (IGF-I) and IGF binding protein (IGFBP) activity. IGF-I exerts a mitogenic effect on HSCs, thus potentially contributing to the fibrogenic process in an autocrine fashion. However, IGF-I action is modulated by the presence of specific IGFBPs that may inhibit and/or enhance its biologic effects. Therefore, we examined IGFBP-1 through IGFBP-6 mRNA and protein expression in HSCs isolated from human liver and activated in culture. Regulation of IGFBPs in response to IGF-I and other polypeptide growth factors involved in the hepatic fibrogenic process was also assessed. RNase protection assays and ligand blot analysis demonstrated that HSCs express IGFBP-2 through IGFBP-6 mRNAs and release detectable levels of IGFBP-2 through IGFBP-5. Because IGF-I, platelet-derived growth factor-BB (PDGF-BB), and transforming growth factor-beta (TGF-beta) stimulate HSC proliferation and/or matrix production, we tested their effect on IGFBPs released by HSCs. IGF-I induced IGFBP-3 and IGFBP-5 proteins in a time-dependent manner without an increase in the corresponding mRNAs. IGFBP-4 protein levels decreased in response to IGF-I. TGF-beta stimulated IGFBP-3 mRNA and protein but decreased IGFBP-5 mRNA and protein. In contrast, PDGF-BB failed to regulate IGFBPs compared with controls. Recombinant human IGFBP-3 (rhIGFBP-3) was then tested for its effect on IGF-I-induced mitogenesis in HSCs. rhIGFBP-3 inhibited IGF-I-stimulated DNA synthesis in a dose-dependent manner, with a peak effect observed at 25 nM IGFBP-3. Because TGF-beta is highly expressed in cirrhotic liver tissue, we determined whether IGFBP-3 mRNA expression is increased in liver biopsies obtained from patients with an active fibroproliferative response due to viral-induced chronic active hepatitis. In the majority of these samples, IGFBP-3 mRNA was increased compared with normal controls. These findings indicate that human HSCs, in their activated phenotype, constitutively produce IGFBPs. IGF-I and TGF-beta differentially regulate IGFBP-3, IGFBP-4, and IGFBP-5 expression, which, in turn, may modulate the in vitro and in vivo action of IGF-I.
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Affiliation(s)
- A Gentilini
- Department of Medicine, University of Texas Health Science Center, San Antonio, 78284, USA
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Abstract
OBJECTIVES This study explores how local television news structures the public and policy debate on youth violence. METHODS A content analysis was performed on 214 hours of local television news from California. Each of the 1791 stories concerning youth, violence, or both was coded and analyzed for whether it included a public health perspective. RESULTS There were five key findings. First, violence dominated local television news coverage. Second, the specifics of particular crimes dominated coverage of violence. Third, over half of the stories on youth involved violence, while more than two thirds of the violence stories concerned youth. Fourth, episodic coverage of violence was more than five times more frequent than thematic coverage, which included links to broader social factors. Finally, only one story had an explicit public health frame. CONCLUSIONS Local television news provides extremely limited coverage of contributing etiological factors in stories on violence. If our nation's most popular source of news continues to report on violence primarily through crime stories isolated from their social context, the chance for widespread support for public health solutions to violence will be diminished.
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Affiliation(s)
- L Dorfman
- Berkeley Media Studies Group, CA 94704, USA
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Tallman JF, Primus RJ, Brodbeck R, Cornfield L, Meade R, Woodruff K, Ross P, Thurkauf A, Gallager DW. I. NGD 94-1: identification of a novel, high-affinity antagonist at the human dopamine D4 receptor. J Pharmacol Exp Ther 1997; 282:1011-9. [PMID: 9262370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
NGD 94-1 was evaluated for selectivity and in vitro functional activity at the recombinant human D4.2 receptor stably expressed in Chinese hamster ovary cells. NGD 94-1 showed high affinity for the cloned human D4.2 receptor (Ki = 3.6 +/- 0.6 nM) and had greater than 600-fold selectivity for the D4.2 receptor subtype compared with a wide variety of monoamine or other neurotransmitter receptor or modulatory sites except for 5-HT1A and 5-HT3 receptors, in which NGD 94-1 was approximately 50- and 200-fold selective, respectively, for the D4.2 receptor. In measures of in vitro functional activity, NGD 94-1 showed an antagonist profile at the cloned human D4.2 receptor subtype. NGD 94-1 completely reversed the decrease in forskolin-stimulated cAMP levels produced by the dopamine receptor full agonist quinpirole. Furthermore, NGD 94-1 produced a complete reversal of GTPgamma35S binding induced by quinpirole, but was unable on its own to affect GTPgamma35S binding. These data suggest that NGD 94-1 functions as an antagonist rather than a full or partial agonist at the human D4.2 receptor. In addition, NGD 94-1 binding affinity at the D4.2 receptor subtype was unaffected by G-protein activation by GTP, consistent with the binding affinity seen for other antagonists at the D4 receptor. The binding of tritiated NGD 94-1 was saturable and of high affinity at cloned human D4.2 receptors. Furthermore, the binding of [3H]NGD 94-1 to cloned human D4.2 receptors expressed in Chinese hamster ovary cells displayed a pharmacological profile similar to that observed with the nonselective dopamine receptor ligand [3H]YM 09151-2. Saturation and pharmacological analyses of [3H]NGD 94-1 binding at cloned human D4.2, D4.4 and D4.7 receptor variants showed no difference between the three variants. NGD 94-1 is a novel, high-affinity, D4 receptor-selective antagonist. The clinical use of this subtype-specific compound should permit direct evaluation of the role of D4 receptors in psychiatric disorders.
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Affiliation(s)
- J F Tallman
- Neurogen Corporation, Branford, Connecticut 06405, USA
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Abstract
This article describes one effort to help prevent violence against women by addressing some of the larger societal factors involved. The Dangerous Promises campaign is based on the premise that sexist advertising images contribute to an environment conducive to violence against women. The goal of the campaign is to convince alcohol companies to eliminate sexist alcohol advertising and promotions. Using the tools of community organizing and media advocacy, the campaign pressures the alcohol industry to change the ways in which they portray women in much of their advertising. Media advocacy has been instrumental in the successes of the campaign. This article examines the strategies and outcomes of the Dangerous Promises efforts to date and makes a case for application of media advocacy as a tool for increasing community voice in policy-making processes.
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Affiliation(s)
- K Woodruff
- Berkeley Media Studies Group, California 94704, USA.
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36
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Grellier P, Feliers D, Yee D, Woodruff K, Abboud SL. Interaction between insulin-like growth factor-I and insulin-like growth factor-binding proteins in TC-1 stromal cells. J Endocrinol 1996; 149:519-29. [PMID: 8691111 DOI: 10.1677/joe.0.1490519] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
IGF-I and -II play an important role in regulating bone formation. Bone marrow stromal cells, particularly those with osteoblast-like features, may act in concert with osteoblasts to increase IGF-I and -II levels in the bone microenvironment. Local bioavailability of IGFs, however, is modulated by IGF binding proteins (IGFBPs). We have previously demonstrated that murine TC-1 stromal cells constitutively secrete IGF-I and IGFBPs. In the present study, we determined the phenotype of these cells and used them as a model to explore the effect of IGFBPs on IGF-I-induced mitogenesis. The effect of IGF-I on IGFBPs expressed by TC-1 was also determined. When grown under conditions that promote osteogenic differentiation, TC-1 cells showed high alkaline phosphatase activity and mRNA levels, weakly expressed osteocalcin mRNA, and formed mineralized bone-like nodules. TC-1 cells expressed IGF-I and IGF-II mRNAs, while other stromal phenotypes preferentially expressed IGF-I. IGF-I stimulated TC-1 DNA synthesis in a dose-dependent manner and this effect was inhibited by recombinant IGFBP-1 and -4. Since IGF-I may regulate IGFBP production, the effect of IGF-I on IGFBPs expressed by TC-1 cells was determined. IGF-I increased the abundance of IGFBP-3, -4 and -5 in TC-1 conditioned medium; this correlated with induction of IGFBP-3 mRNA, but not with that of IGFBP-4 or -5 mRNAs. The findings demonstrate that most stromal cells express IGF-I which may act in an autocrine and/or paracrine fashion. The local effects of IGF-I, however, may be blocked by IGFBP-1 or -4. IGF-I regulates the relative abundance of IGFBPs in stromal cells which, in turn, may influence IGF-I-mediated effects on bone remodeling.
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Affiliation(s)
- P Grellier
- Department of Medicine, University of Texas Health Science Center, San Antonio 78284, USA
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37
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Grellier P, Sabbah M, Fouqueray B, Woodruff K, Yee D, Abboud HE, Abboud SL. Characterization of insulin-like growth factor binding proteins and regulation of IGFBP3 in human mesangial cells. Kidney Int 1996; 49:1071-8. [PMID: 8691727 DOI: 10.1038/ki.1996.156] [Citation(s) in RCA: 20] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
IGF-I regulates renal growth and development. Insulin-like growth factor binding proteins (IGFBPs) are synthesized by the kidney and may modulate the local autocrine and/or paracrine actions of IGF-I. We have previously demonstrated that mesangial cells (MC) release IGF-I and IGF-binding activity; however, the specific IGFBPs produced by these cells and the factors involved in their regulation are unknown. We examined MC for expression of IGFBP-1 to -6 mRNAs and proteins. RNase protection assays using total RNA demonstrated that MC express all of the IGFBPs. [125I]IGF-I Western ligand blot of conditioned medium demonstrated that MC release IGFBPs of 24, 29, 32 kDa, and a doublet at 46 kDa, consistent with IGFBP-4, -5, -2 and -3, respectively. IGFBP species of 28 and 34 kDa were also detected. Since IGF-I and TGF-beta are implicated in glomerular hypertrophy and matrix expansion, we tested their effect on IGFBPs released by MC. IGF-I (100 ng/ml), TGF-beta (2 ng/ml) and forskolin (10(-5) M) differentially regulated the abundance of IGFBPs released in the conditioned medium in a time-dependent manner. IGF-I and TGF-beta were potent inducers of the release of IGFBP3 protein; however, TGF-beta, but not IGF-I, increased IGFBP3 mRNA levels. Recombinant IGFBP3 was tested for its effect on IGF-I-induced mitogenesis. IGFBP3 inhibited IGF-I-stimulated DNA synthesis in a dose-dependent manner with a peak effect observed at 50 nM IGFBP3. Although TGF-beta is a potent inhibitor of IGF-I-stimulated DNA synthesis, this effect is not mediated via IGFBPs. Expression of IGFBP-1 to -6 by MC suggests that these proteins may modulate IGF-I bioavailability in the glomerulus. IGF-I itself, TGF-beta and cAMP agonists may indirectly modulate the effects of IGF-I via the release of IGFBPs by MC.
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Affiliation(s)
- P Grellier
- Department of Medicine, University of Texas Health Science Center, USA
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38
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Woodruff K. Media strategies for community health advocacy. Prim Care 1995; 22:805-15. [PMID: 8668743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Primary care providers have an important role to play in advocating healthy public policies. This article compares media advocacy with traditional uses of the media for health promotion.
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Affiliation(s)
- K Woodruff
- Berkeley Media Studies Group, Berkeley, CA 94704, USA
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39
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Abstract
Human placenta is the major source of activin A in maternal circulation. The aim of the present study was to evaluate maternal activin A serum concentration in pregnant women with chronic hypertension (n = 14), pregnancy-induced hypertension (n = 10) or pre-eclampsia (n = 16). In the group of pregnant women with chronic hypertension and of healthy pregnant women (n = 10) activin A was measured in samples collected longitudinally throughout gestation. Using a specific two-site enzyme-linked immunosorbent assay, it has been possible to measure maternal serum activin A concentration. In addition, the effect of recombinant human activin A administration on mean arterial pressure and heart rate in female rats have been also investigated. Mean +/- SEM of maternal serum activin A concentration in pre-eclamptic women (57.4 +/- 28.3 ng/ml), was significantly higher than in women with pregnancy-induced hypertension (14.8 +/- 10.5 ng/ml), chronic hypertension (10.3 +/- 5.4 ng/ml) or healthy control women (9.2 +/- 9.4 ng/ml) (P < 0.01). Serum activin A levels evaluated 2 weeks after anti-hypertensive treatment were not significantly different in pre-eclamptic women. Moreover, when exogenous recombinant human activin A was administered in female rats arterial pressure or frequency of heart rate did not change. The present study showed that maternal serum activin A concentration is abnormally high in patients with pre-eclampsia. Thus, since the patients with chronic hypertension or pregnancy-induced hypertension have activin A concentration in the normal range of values, activin A may be a prognostic marker of hypertension in pregnancy.
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Affiliation(s)
- F Petraglia
- Department of Obstetrics and Gynaecology, University of Modena, Italy
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40
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Woodruff K, Wang N, May W, Adrone E, Denny C, Feig SA. The clonal nature of mediastinal germ cell tumors and acute myelogenous leukemia. A case report and review of the literature. Cancer Genet Cytogenet 1995; 79:25-31. [PMID: 7850747 DOI: 10.1016/0165-4608(94)00109-o] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
The clonal identity of a mediastinal germ cell malignant tumor and acute myelogenous leukemia is described in an 11-year-old boy in whom both tumors presented simultaneously. The relationship between these two histologically distinct malignancies is discussed in relation to this patient and 34 previously reported patients.
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Affiliation(s)
- K Woodruff
- Gwynne Hazen Cherry Memorial Laboratories, UCLA School of Medicine 90024
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41
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Savouret JF, Rauch M, Redeuilh G, Sar S, Chauchereau A, Woodruff K, Parker MG, Milgrom E. Interplay between estrogens, progestins, retinoic acid and AP-1 on a single regulatory site in the progesterone receptor gene. J Biol Chem 1994; 269:28955-62. [PMID: 7961858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Transcriptional regulation of the progesterone receptor gene involves induction by estrogens and down-regulation by progestins, retinoic acid, and AP-1 proteins. We have previously identified an intragenic (+698/+723) estrogen-responsive element present in the progesterone receptor gene, which binds the estradiol receptor and mediates estrogen and 4-OH tamoxifen induction. Progesterone receptor gene expression was equally stimulated by estradiol and 4-OH tamoxifen in the presence of a NH2 terminally deleted estrogen receptor mutant lacking activation function 1, suggesting that activation function 2 was the predominant activation domain. This was confirmed by the lack of activity of an estrogen receptor mutant deleted of activation function 2. Repression by progestins, retinoic acid, and AP-1 was mediated by the same estrogen responsive element although retinoic and progesterone receptors as well as AP-1 proteins did not bind to this element. Repression by these proteins appears to involve different transactivating regions of the estrogen receptor. Repression by retinoic receptors involved only activation function 2 whereas repression by progesterone receptor and AP-1 necessitated both functional domains. Since these proteins act without directly contacting the DNA, it seems likely that repression may be achieved by protein-protein interactions among different domains of the estrogen receptor and/or the transcriptional machinery.
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Affiliation(s)
- J F Savouret
- INSERM Unit 135, Hopital de Bicêtre, Le Kremlin-Bicêtre, France
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42
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Bhandari B, Woodruff K, Abboud HE. Platelet-derived growth factor B-chain gene expression in mesangial cells: effect of phorbol ester on gene transcription and mRNA stability. Mol Cell Biochem 1994; 140:31-6. [PMID: 7877595 DOI: 10.1007/bf00928363] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
We have investigated the effect of phorbol 12-myristate 13-acetate (PMA) on platelet-derived growth factor (PDGF) B-chain gene transcription as well as on mRNA stability in cultured human mesangial cells. Addition of actinomycin to cells stimulated with PMA decreases steady state levels of PDGF-B chain mRNA analysed by solution hybridization assay. PDGF-B chain gene transcription was also assayed directly by measuring elongation of transcripts in isolated nuclei followed by hybridization of labeled RNA transcripts to a cDNA encoding for PDGF-B chain. Our data show that PMA induces PDGF-B chain gene transcription by approximately 2-fold. alpha-Amanitin, an RNA polymerase II inhibitor, blocked transcription by more than 70%. In addition, we determined the effect of PMA on the halflife of PDGF-B chain mRNA directly by pulse chase method. In human mesangial cells, the PDGF-B chain mRNA exhibited halflife of approximately 105 min. In the presence of PMA, the halflife of PDGF-B chain mRNA was reduced to approximately 72 min. These studies indicate that regulation of PDGF-B chain gene by PMA in human mesangial cells involves a coordinate effort at the level of transcription and mRNA stability.
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Affiliation(s)
- B Bhandari
- Department of Medicine, University of Texas Health Science Center at San Antonio
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43
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Savouret JF, Rauch M, Redeuilh G, Sar S, Chauchereau A, Woodruff K, Parker MG, Milgrom E. Interplay between estrogens, progestins, retinoic acid and AP-1 on a single regulatory site in the progesterone receptor gene. J Biol Chem 1994. [DOI: 10.1016/s0021-9258(19)61999-x] [Citation(s) in RCA: 58] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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44
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45
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Castro JR, Gademann G, Collier JM, Linstad D, Pitluck S, Woodruff K, Gauger G, Char D, Gutin P, Phillips TL. [Heavy particle radiotherapy at the University of California Lawrence Berkeley Laboratory. Clinical studies by the Northern California Oncology Group]. Strahlenther Onkol 1987; 163:9-16. [PMID: 3101214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
At the university of California Lawrence Berkeley Laboratory, patients have been irradiated for 10 years with heavy ions (He, C, Ne, Si). Due to the biologic efficacy of this type of radiation as well as the possibility of a precise dose application, the tumors can be irradiated with very high doses without exposing the surrounding tissues. The experience gained in the treatment of more than 800 patients is presented. It shows that this radiation can be used to localize tumors situated near to particularly radiosensitive organs such as skull base, paraspinal region, and the eye.
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46
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Milner AR, Jackson KB, Woodruff K, Smart IJ. Enzyme-linked immunosorbent assay for determining specific immunoglobulin M in infections caused by Leptospira interrogans serovar hardjo. J Clin Microbiol 1985; 22:539-42. [PMID: 4077964 PMCID: PMC268463 DOI: 10.1128/jcm.22.4.539-542.1985] [Citation(s) in RCA: 23] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
An automated enzyme-linked immunosorbent assay detecting specific immunoglobulin M in infections with Leptospira interrogans serovar hardjo was evaluated on 69 patients. The test was sensitive and simple to perform, requiring a single dilution of test serum, with data expressed as units of antibody activity interpolated from a reference serum pool.
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47
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Bozymski EM, Woodruff K, Sessions JT. Zollinger-Ellison syndrome with hypoglycemia associated with calcification of the tumor and its metastases. Gastroenterology 1973; 65:658-61. [PMID: 4746770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
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48
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49
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