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Dunn D, Brown S, Sandhu S, Azar D. Isolated superior ophthalmic vein thrombosis. Med J Aust 2021; 215:106-107.e1. [PMID: 34291455 DOI: 10.5694/mja2.51172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 05/17/2020] [Accepted: 08/31/2020] [Indexed: 11/17/2022]
Affiliation(s)
- Douglas Dunn
- Concord Repatriation General Hospital, Sydney, NSW.,University of Sydney, Sydney, NSW
| | | | | | - Domit Azar
- Concord Repatriation General Hospital, Sydney, NSW.,University of Sydney, Sydney, NSW
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2
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Baxter JD, Dunn D, Tostevin A, Marvig RL, Bennedbaek M, Cozzi-Lepri A, Sharma S, Kozal MJ, Gompels M, Pinto AN, Lundgren J. Transmitted HIV-1 drug resistance in a large international cohort using next-generation sequencing: results from the Strategic Timing of Antiretroviral Treatment (START) study. HIV Med 2021; 22:360-371. [PMID: 33369017 PMCID: PMC8049964 DOI: 10.1111/hiv.13038] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 09/11/2020] [Accepted: 11/10/2020] [Indexed: 01/13/2023]
Abstract
OBJECTIVES The aim of this analysis was to characterize transmitted drug resistance (TDR) in Strategic Timing of Antiretroviral Treatment (START) study participants by next-generation sequencing (NGS), a sensitive assay capable of detecting low-frequency variants. METHODS Stored plasma from participants with entry HIV RNA > 1000 copies/mL were analysed by NGS (Illumina MiSeq). TDR was based on the WHO 2009 surveillance definition with the addition of reverse transcriptase (RT) mutations T215N and E138K, and integrase strand transfer inhibitor (INSTI) surveillance mutations (Stanford HIVdb). Drug resistance mutations (DRMs) detected at three thresholds are reported: > 2%, 5% and 20% of the viral population. RESULTS Between 2009 and 2013, START enrolled 4684 antiretroviral therapy (ART)-naïve individuals in 35 countries. Baseline NGS data at study entry were available for 2902 participants. Overall prevalence rates of TDR using a detection threshold of 2%/5%/20% were 9.2%/5.6%/3.2% for nucleoside reverse transcriptase inhibitors (NRTIs), 9.2%/6.6%/4.9% for non-NRTIs, 11.4%/5.5%/2.4% for protease inhibitors (PIs) and 3.5%/1.6%/0.1% for INSTI DRMs and varied by geographic region. Using the 2% detection threshold, individual DRMs with the highest prevalence were: PI M46IL (5.5%), RT K103NS (3.5%), RT G190ASE (3.1%), T215ISCDVEN (2.5%), RT M41L (2.2%), RT K219QENR (1.7%) and PI D30N (1.6%). INSTI DRMs were detected almost exclusively below the 20% detection threshold, most commonly Y143H (0.4%), Q148R (0.4%) and T66I (0.4%). CONCLUSIONS Use of NGS in this study population resulted in the detection of a large proportion of low-level variants which would not have been detected by traditional Sanger sequencing. Global surveillance studies utilizing NGS should provide a more comprehensive assessment of TDR prevalence in different regions of the world.
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Affiliation(s)
- J D Baxter
- Cooper University Hospital/Cooper Medical School of Rowan University, Camden, NJ, USA
| | - D Dunn
- Institute for Global Health, UCL, London, UK
| | - A Tostevin
- Institute for Global Health, UCL, London, UK
| | - R L Marvig
- Center for Genomic Medicine, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - M Bennedbaek
- Copenhagen HIV Programme, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | | | - S Sharma
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - M J Kozal
- Yale University School of Medicine, New Haven, CT, USA
| | - M Gompels
- North Bristol NHS Trust, Westbury on Trym, UK
| | - A N Pinto
- The Kirby Institute, University of New South Wales, Sydney, Australia
| | - J Lundgren
- Copenhagen HIV Programme, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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3
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Rodger AJ, Dunn D, McCabe L, Weatherburn P, Lampe FC, Witzel TC, Burns F, Ward D, Pebody R, Trevelion R, Brady M, Kirwan PD, Khawam J, Delpech VC, Gabriel M, Collaco-Moraes Y, Phillips AN, McCormack S. Sexual risk and HIV testing disconnect in men who have sex with men (MSM) recruited to an online HIV self-testing trial. HIV Med 2020; 21:588-598. [PMID: 32776431 DOI: 10.1111/hiv.12919] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Revised: 04/21/2020] [Accepted: 06/18/2020] [Indexed: 11/28/2022]
Abstract
OBJECTIVES We report the frequency of previous HIV testing at baseline in men who have sex with men (MSM) who enrolled in an HIV self-testing (HIVST) randomized controlled trial [an HIV self-testing public health intervention (SELPHI)]. METHODS Criteria for enrolment were age ≥ 16 years, being a man (including trans men) who ever had anal intercourse (AI) with a man, not being known to be HIV positive and having consented to national HIV database linkage. Using online survey baseline data (2017-2018), we assessed associations with never having tested for HIV and not testing in the previous 6 months, among men who reported at least two recent condomless AI (CAI) partners. RESULTS A total of 10 111 men were randomized; the median age was 33 years [interquartile range (IQR) 26-44 years], 89% were white, 20% were born outside the UK, 0.8% were trans men, 47% were degree educated, and 8% and 4% had ever used and were currently using pre-exposure prophylaxis (PrEP), respectively. In the previous 3 months, 89% reported AI and 72% reported CAI with at least one male partner. Overall, 17%, 33%, 54%, and 72% had tested for HIV in the last 3 months, 6 months, 12 months and 2 years, respectively; 13% had tested more than 2 years ago and 15% had never tested. Among 3972 men reporting at least two recent CAI partners, only 22% had tested in the previous 3 months. Region of residence and education level were independently associated with recent HIV testing. Among current PrEP users, 15% had not tested in the previous 6 months. CONCLUSIONS Most men in SELPHI, particularly those reporting at least two CAI partners and current PrEP users, were not testing in line with current UK recommendations. The results of the trial will inform whether online promotion of HIVST addresses ongoing testing barriers.
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Affiliation(s)
- A J Rodger
- Institute for Global Health, University College London, London, UK
| | - D Dunn
- MRC Clinical Trials Unit at UCL, London, UK
| | - L McCabe
- MRC Clinical Trials Unit at UCL, London, UK
| | - P Weatherburn
- London School of Hygiene & Tropical Medicine, London, UK
| | - F C Lampe
- Institute for Global Health, University College London, London, UK
| | - T C Witzel
- London School of Hygiene & Tropical Medicine, London, UK
| | - F Burns
- Institute for Global Health, University College London, London, UK
| | - D Ward
- MRC Clinical Trials Unit at UCL, London, UK
| | | | | | - M Brady
- King's College Hospital NHS Foundation Trust, London, UK
| | - P D Kirwan
- National Infection Service, Public Health England, London, UK
| | - J Khawam
- National Infection Service, Public Health England, London, UK
| | - V C Delpech
- National Infection Service, Public Health England, London, UK
| | - M Gabriel
- MRC Clinical Trials Unit at UCL, London, UK
| | | | - A N Phillips
- Institute for Global Health, University College London, London, UK
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Meuleman W, Muratov A, Rynes E, Halow J, Lee K, Bates D, Diegel M, Dunn D, Neri F, Teodosiadis A, Reynolds A, Haugen E, Nelson J, Johnson A, Frerker M, Buckley M, Sandstrom R, Vierstra J, Kaul R, Stamatoyannopoulos J. Index and biological spectrum of human DNase I hypersensitive sites. Nature 2020; 584:244-251. [PMID: 32728217 PMCID: PMC7422677 DOI: 10.1038/s41586-020-2559-3] [Citation(s) in RCA: 134] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 07/01/2020] [Indexed: 01/08/2023]
Abstract
DNase I hypersensitive sites (DHSs) are generic markers of regulatory DNA1–5 and contain genetic variations associated with diseases and phenotypic traits6–8. We created high-resolution maps of DHSs from 733 human biosamples encompassing 438 cell and tissue types and states, and integrated these to delineate and numerically index approximately 3.6 million DHSs within the human genome sequence, providing a common coordinate system for regulatory DNA. Here we show that these maps highly resolve the cis-regulatory compartment of the human genome, which encodes unexpectedly diverse cell- and tissue-selective regulatory programs at very high density. These programs can be captured comprehensively by a simple vocabulary that enables the assignment to each DHS of a regulatory barcode that encapsulates its tissue manifestations, and global annotation of protein-coding and non-coding RNA genes in a manner orthogonal to gene expression. Finally, we show that sharply resolved DHSs markedly enhance the genetic association and heritability signals of diseases and traits. Rather than being confined to a small number of distal elements or promoters, we find that genetic signals converge on congruently regulated sets of DHSs that decorate entire gene bodies. Together, our results create a universal, extensible coordinate system and vocabulary for human regulatory DNA marked by DHSs, and provide a new global perspective on the architecture of human gene regulation. High-resolution maps of DNase I hypersensitive sites from 733 human biosamples are used to identify and index regulatory DNA within the human genome.
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Affiliation(s)
| | | | - Eric Rynes
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Jessica Halow
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Kristen Lee
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Daniel Bates
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Morgan Diegel
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Douglas Dunn
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Fidencio Neri
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | | | - Alex Reynolds
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Eric Haugen
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Jemma Nelson
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Audra Johnson
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Mark Frerker
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | | | | | - Jeff Vierstra
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Rajinder Kaul
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - John Stamatoyannopoulos
- Altius Institute for Biomedical Sciences, Seattle, WA, USA. .,Department of Genome Sciences, University of Washington, Seattle, WA, USA. .,Division of Oncology, Department of Medicine, University of Washington, Seattle, WA, USA.
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5
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Vierstra J, Lazar J, Sandstrom R, Halow J, Lee K, Bates D, Diegel M, Dunn D, Neri F, Haugen E, Rynes E, Reynolds A, Nelson J, Johnson A, Frerker M, Buckley M, Kaul R, Meuleman W, Stamatoyannopoulos JA. Global reference mapping of human transcription factor footprints. Nature 2020; 583:729-736. [PMID: 32728250 PMCID: PMC7410829 DOI: 10.1038/s41586-020-2528-x] [Citation(s) in RCA: 152] [Impact Index Per Article: 38.0] [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: 01/30/2020] [Accepted: 06/25/2020] [Indexed: 11/09/2022]
Abstract
Combinatorial binding of transcription factors to regulatory DNA underpins gene regulation in all organisms. Genetic variation in regulatory regions has been connected with diseases and diverse phenotypic traits1, but it remains challenging to distinguish variants that affect regulatory function2. Genomic DNase I footprinting enables the quantitative, nucleotide-resolution delineation of sites of transcription factor occupancy within native chromatin3-6. However, only a small fraction of such sites have been precisely resolved on the human genome sequence6. Here, to enable comprehensive mapping of transcription factor footprints, we produced high-density DNase I cleavage maps from 243 human cell and tissue types and states and integrated these data to delineate about 4.5 million compact genomic elements that encode transcription factor occupancy at nucleotide resolution. We map the fine-scale structure within about 1.6 million DNase I-hypersensitive sites and show that the overwhelming majority are populated by well-spaced sites of single transcription factor-DNA interaction. Cell-context-dependent cis-regulation is chiefly executed by wholesale modulation of accessibility at regulatory DNA rather than by differential transcription factor occupancy within accessible elements. We also show that the enrichment of genetic variants associated with diseases or phenotypic traits in regulatory regions1,7 is almost entirely attributable to variants within footprints, and that functional variants that affect transcription factor occupancy are nearly evenly partitioned between loss- and gain-of-function alleles. Unexpectedly, we find increased density of human genetic variation within transcription factor footprints, revealing an unappreciated driver of cis-regulatory evolution. Our results provide a framework for both global and nucleotide-precision analyses of gene regulatory mechanisms and functional genetic variation.
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Affiliation(s)
- Jeff Vierstra
- Altius Institute for Biomedical Sciences, Seattle, WA, USA.
| | - John Lazar
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Jessica Halow
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Kristen Lee
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Daniel Bates
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Morgan Diegel
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Douglas Dunn
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Fidencio Neri
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Eric Haugen
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Eric Rynes
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Alex Reynolds
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Jemma Nelson
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Audra Johnson
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Mark Frerker
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | | | - Rajinder Kaul
- Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | | | - John A Stamatoyannopoulos
- Altius Institute for Biomedical Sciences, Seattle, WA, USA.
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Division of Oncology, Department of Medicine, University of Washington, Seattle, WA, USA.
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6
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Rahman F, Dunn D, Baneman E, Sullivan T, Fuller R, Jacobs S, Pinney S, Barghash M, Rana M, Taimur S. Strongyloides Screening in Heart Transplant Candidates. J Heart Lung Transplant 2020. [DOI: 10.1016/j.healun.2020.01.041] [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: 11/27/2022] Open
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7
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Banerjee E, Griffith J, Kenyon C, Christianson B, Strain A, Martin K, McMahon M, Bagstad E, Laine E, Hardy K, Grilli G, Walters J, Dunn D, Roddy M, Ehresmann K. Containing a measles outbreak in Minnesota, 2017: methods and challenges. Perspect Public Health 2019; 140:162-171. [PMID: 31480896 DOI: 10.1177/1757913919871072] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
AIMS We report on a measles outbreak largely occurring in Minnesota's under-vaccinated Somali community in the spring of 2017. The outbreak was already into its third generation when the first two cases were confirmed, and rapid public health actions were needed. The aim of our response was to quickly end transmission and contain the outbreak. METHODS The state public health department performed laboratory testing on suspect cases and activated an Incident Command staffed by subject matter experts that was operational within 2 h of case confirmation. Epidemiologic interviews identified exposures in settings where risk of transmission was high, that is, healthcare, childcare, and school settings. Vaccination status of exposed persons was assessed, and postexposure prophylaxis (PEP) was offered, if applicable. Exposed persons who did not receive PEP were excluded from childcare centers or schools for 21 days. An accelerated statewide measles, mumps, and rubella (MMR) recommendation was made for Somali Minnesota children and children in affected outbreak counties. Partnerships with the Somali Minnesota community were deepened, building off outreach work done with the community since 2008. RESULTS Public health identified 75 measles cases from 30 March to 25 August 2017: 43% were female, 81% Somali Minnesotan, 91% unvaccinated, and 28% hospitalized. The median age of cases was 2 years (range: 3 months-57 years). Most transmission (78%) occurred in childcare centers and households. A secondary attack rate of 91% was calculated for unvaccinated household contacts. Over 51,000 doses of MMR were administered during the outbreak above expected baseline. At least 8490 individuals were exposed to measles; 155 individuals received PEP; and over 500 persons were excluded from childcare and school. State and key public health partners spent an estimated $2.3 million on response. CONCLUSION This outbreak demonstrates the necessity of immediate, targeted disease control actions and strong public health, healthcare, and community partnerships to end a measles outbreak.
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Affiliation(s)
- E Banerjee
- Infectious Disease Epidemiology, Prevention and Control, Minnesota Department of Health, 625 Robert St. N., St. Paul, MN 55164, USA
| | - J Griffith
- Minnesota Department of Health, St. Paul, MN, USA
| | - C Kenyon
- Minnesota Department of Health, St. Paul, MN, USA
| | | | - A Strain
- Minnesota Department of Health, St. Paul, MN, USA
| | - K Martin
- Minnesota Department of Health, St. Paul, MN, USA
| | - M McMahon
- Minnesota Department of Health, St. Paul, MN, USA
| | - E Bagstad
- Hennepin County Human Services and Public Health, Hopkins, MN, USA
| | - E Laine
- Minnesota Department of Health, St. Paul, MN, USA
| | - K Hardy
- Minnesota Department of Health, St. Paul, MN, USA
| | - G Grilli
- Minnesota Department of Health, St. Paul, MN, USA
| | - J Walters
- Minnesota Department of Health, St. Paul, MN, USA
| | - D Dunn
- Minnesota Department of Health, St. Paul, MN, USA
| | - M Roddy
- Minnesota Department of Health, St. Paul, MN, USA
| | - K Ehresmann
- Minnesota Department of Health, St. Paul, MN, USA
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Abstract
BACKGROUND This is an update of a Cochrane Review first published in 2001.Hernias are protrusions of all or part of an organ through the body wall that normally contains it. Groin hernias include inguinal (96%) and femoral (4%) hernias, and are often symptomatic with discomfort. They are extremely common, with an estimated lifetime risk in men of 27%. Occasionally they may present as emergencies with complications such as bowel incarceration, obstruction and strangulation. The definitive treatment of all hernias is surgical repair, inguinal hernia repair being one of the most common surgical procedures performed. Mesh (hernioplasty) and the traditional non-mesh repairs (herniorrhaphy) are commonly used, with an increasing preference towards mesh repairs in high-income countries. OBJECTIVES To evaluate the benefits and harms of different inguinal and femoral hernia repair techniques in adults, specifically comparing closure with mesh versus without mesh. Outcomes include hernia recurrence, complications (including neurovascular or visceral injury, haematoma, seroma, testicular injury, infection, postoperative pain), mortality, duration of operation, postoperative hospital stay and time to return to activities of daily living. SEARCH METHODS We searched the following databases on 9 May 2018: Cochrane Colorectal Cancer Group Specialized Register, Cochrane Central Register of Controlled Trials (Issue 1), Ovid MEDLINE (from 1950), Ovid Embase (from 1974) and Web of Science (from 1900). Furthermore, we checked the WHO International Clinical Trials Registry Platform (ICTRP) and ClinicalTrials.gov for trials. We applied no language or publication restrictions. We also searched the reference lists of included trials and review articles. SELECTION CRITERIA We included randomised controlled trials of mesh compared to non-mesh inguinal or femoral hernia repairs in adults over the age of 18 years. DATA COLLECTION AND ANALYSIS We used standard methodological procedures expected by Cochrane. Where available, we collected information on adverse effects. We presented dichotomous data as risk ratios, and where possible we calculated the number needed to treat for an additional beneficial outcome (NNTB). We presented continuous data as mean difference. Analysis of missing data was based on intention-to-treat principles, and we assessed heterogeneity using an evaluation of clinical and methodological diversity, Chi2 test and I2 statistic. We used GRADE to assess the quality of evidence for each outcome. MAIN RESULTS We included 25 studies (6293 participants) in this review. All included studies specified inguinal hernias, and two studies reported that femoral hernias were included.Mesh repair probably reduces the risk of hernia recurrence compared to non-mesh repair (21 studies, 5575 participants; RR 0.46, 95% CI 0.26 to 0.80, I2 = 44%, moderate-quality evidence). In absolute numbers, one hernia recurrence was prevented for every 46 mesh repairs compared with non-mesh repairs. Twenty-four studies (6293 participants) assessed a wide range of complications with varying follow-up times. Neurovascular and visceral injuries were more common in non-mesh repair groups (RR 0.61, 95% CI 0.49 to 0.76, I2 = 0%, NNTB = 22, high-quality evidence). Wound infection was found slightly more commonly in the mesh group (20 studies, 4540 participants; RR 1.29, 95% CI 0.89 to 1.86, I2 = 0%, NNTB = 200, low-quality evidence). Mesh repair reduced the risk of haematoma compared to non-mesh repair (15 studies, 3773 participants; RR 0.88, 95% CI 0.68 to 1.13, I2 = 0%, NNTB = 143, low-quality evidence). Seromas probably occur more frequently with mesh repair than with non-mesh repair (14 studies, 2640 participants; RR 1.63, 95% CI 1.03 to 2.59, I2 = 0%, NNTB = 72, moderate-quality evidence), as does wound swelling (two studies, 388 participants; RR 4.56, 95% CI 1.02 to 20.48, I2 = 33%, NNTB = 72, moderate-quality evidence). The comparative effect on wound dehiscence is uncertain due to wide confidence intervals (two studies, 329 participants; RR 0.55, 95% CI 0.12 to 2.48, I2 = 37% NNTB = 77, low-quality evidence). Testicular complications showed nearly equivocal results; they probably occurred slightly more often in the mesh group however the confidence interval around the effect was wide (14 studies, 3741 participants; RR 1.06, 95% CI 0.63 to 1.76, I2 = 0%, NNTB = 2000, low-quality evidence). Mesh reduced the risk of postoperative urinary retention compared to non-mesh (eight studies, 1539 participants; RR 0.53, 95% CI 0.38 to 0.73, I2 = 56%, NNTB = 16, moderate-quality evidence).Postoperative and chronic pain could not be compared due to variations in measurement methods and follow-up time (low-quality evidence).No deaths occurred during the follow-up periods reported in the seven studies (2546 participants) reporting this outcome (high-quality evidence).The average operating time was longer for non-mesh repairs by a mean of 4 minutes 22 seconds, despite wide variation across the studies regarding size and direction of effect, thus this result is uncertain (20 studies, 4148 participants; 95% CI -6.85 to -1.60, I2= 97%, very low-quality evidence). Hospital stay may be shorter with mesh repair, by 0.6 days (12 studies, 2966 participants; 95% CI -0.86 to -0.34, I2 = 98%, low-quality evidence), and participants undergoing mesh repairs may return to normal activities of daily living a mean of 2.87 days sooner than those with non-mesh repair (10 studies, 3183 participants; 95% CI -4.42 to -1.32, I2 = 96%, low-quality evidence), although the results of both these outcomes are also limited by wide variation in the size and direction of effect across the studies. AUTHORS' CONCLUSIONS Mesh and non-mesh repairs are effective surgical approaches in treating hernias, each demonstrating benefits in different areas. Compared to non-mesh repairs, mesh repairs probably reduce the rate of hernia recurrence, and reduce visceral or neurovascular injuries, making mesh repair a common repair approach. Mesh repairs may result in a reduced length of hospital stay and time to return to activities of daily living, but these results are uncertain due to variation in the results of the studies. Non-mesh repair is less likely to cause seroma formation and has been favoured in low-income countries due to low cost and reduced availability of mesh materials. Risk of bias in the included studies was low to moderate and generally handled well by study authors, with attention to details of allocation, blinding, attrition and reporting.
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Affiliation(s)
- Kathleen Lockhart
- Townsville Hospital100 Angus Smith DriveDouglasQueenslandAustralia4814
| | - Douglas Dunn
- University of SydneySydney Medical School ConcordSydneyAustralia
| | - Shawn Teo
- Monash UniversityFaculty of Medicine, Nursing and Health Sciences1‐131 Wellington RoadClaytonVictoriaAustralia3168
| | - Jessica Y Ng
- Gold Coast University HospitalDepartment of Surgery1 Hospital BoulevardSouthportQueenslandAustralia4215
| | - Manvinder Dhillon
- Ipswich General Hospital, Queensland HealthDepartment of SurgeryChelmsford AvenueIpswichQueenslandAustralia4305
| | - Edward Teo
- Concord Repatriation General HospitalEmergency DepartmentHospital RoadConcordSydneyNew South WalesAustralia2137
- Griffith UniversitySchool of MedicineGold CoastQueenslandAustralia
- The University of QueenslandSchool of MedicineBrisbaneQueenslandAustralia
| | - Mieke L van Driel
- The University of QueenslandPrimary Care Clinical Unit, Faculty of MedicineBrisbaneQueenslandAustralia4029
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Virk SA, Tian DH, Sriravindrarajah A, Dunn D, Wolfenden HD, Suri RM, Munkholm-Larsen S, Cao C. Mitral valve surgery and coronary artery bypass grafting for moderate-to-severe ischemic mitral regurgitation: Meta-analysis of clinical and echocardiographic outcomes. J Thorac Cardiovasc Surg 2017; 154:127-136. [DOI: 10.1016/j.jtcvs.2017.03.039] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2016] [Revised: 02/05/2017] [Accepted: 03/09/2017] [Indexed: 12/29/2022]
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10
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Tostevin A, White E, Dunn D, Croxford S, Delpech V, Williams I, Asboe D, Pozniak A, Churchill D, Geretti AM, Pillay D, Sabin C, Leigh‐Brown A, Smit E. Recent trends and patterns in HIV-1 transmitted drug resistance in the United Kingdom. HIV Med 2017; 18:204-213. [PMID: 27476929 PMCID: PMC5297994 DOI: 10.1111/hiv.12414] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [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] [Accepted: 04/06/2016] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Transmission of drug-resistant HIV-1 has decreased in the UK since the early 2000s. This analysis reports recent trends and characteristics of transmitted drug resistance (TDR) in the UK from 2010 to 2013. METHODS Resistance tests conducted in antiretroviral treatment (ART)-naïve individuals between 2010 and 2013 were analysed for the presence of transmitted drug resistance mutations (TDRMs), defined as any mutations from a modified 2009 World Health Organization surveillance list, or a modified 2013 International Antiviral Society-USA list for integrase tests. Logistic regression was used to examine associations between demographics and the prevalence of TDRMs. RESULTS TDRMs were observed in 1223 (7.5%) of 16 425 individuals; prevalence declined from 8.1% in 2010 to 6.6% in 2013 (P = 0.02). The prevalence of TDRMs was higher among men who have sex with men (MSM) compared with heterosexual men and women (8.7% versus 6.4%, respectively) with a trend for decreasing TDRMs among MSM (P = 0.008) driven by a reduction in nucleoside reverse transcriptase inhibitor (NRTI)-related mutations. The most frequently detected TDRMs were K103N (2.2%), T215 revertants (1.6%), M41L (0.9%) and L90M (0.7%). Predicted phenotypic resistance to first-line ART was highest to the nonnucleoside reverse transcriptase inhibitors (NNRTIs) rilpivirine and efavirenz (6.2% and 3.4%, respectively) but minimal to NRTIs, including tenofovir, and protease inhibitors (PIs). No major integrase TDRMs were detected among 101 individuals tested while ART-naïve. CONCLUSIONS We observed a decrease in TDRMs in recent years. However, this was confined to the MSM population and rates remained stable in those with heterosexually acquired HIV infection. Resistance to currently recommended first-line ART, including integrase inhibitors, remained reassuringly low.
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Affiliation(s)
- A Tostevin
- MRC Clinical Trials Unit at UCLUniversity College LondonLondonUK
| | - E White
- MRC Clinical Trials Unit at UCLUniversity College LondonLondonUK
| | - D Dunn
- MRC Clinical Trials Unit at UCLUniversity College LondonLondonUK
| | - S Croxford
- Centre for Infectious Disease Surveillance and Control (CIDSC)Public Health EnglandLondonUK
| | - V Delpech
- Centre for Infectious Disease Surveillance and Control (CIDSC)Public Health EnglandLondonUK
| | - I Williams
- Mortimer Market CentreUniversity College London Hospitals NHS TrustLondonUK
| | - D Asboe
- Chelsea & Westminster HospitalLondonUK
| | - A Pozniak
- Chelsea & Westminster HospitalLondonUK
| | - D Churchill
- Brighton and Sussex University Hospitals NHS TrustBrightonUK
| | | | - D Pillay
- Division of Infection and ImmunityUniversity College LondonLondonUK
- Africa Centre for Health and Population StudiesUniversity of KwaZulu‐NatalMtubatubaSouth Africa
| | - C Sabin
- Research Department of Infection and Population HealthUniversity College LondonLondonUK
| | | | - E Smit
- Public Health EnglandBirmingham Heartlands HospitalBirminghamUK
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Cao C, Chan M, Dunn D, Tian D, Liou K, Cheruvu C. A Systematic Review and Meta-Analysis of Multidetector Computed Tomography. Heart Lung Circ 2017. [DOI: 10.1016/j.hlc.2017.03.022] [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: 11/16/2022]
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12
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Butterfield R, Dunn D, Hu Y, Bonnemann C, Weiss R. Transcriptome profiling identifies key pathways important in collagen VI related muscular dystrophies including differences between patients with dominant negative vs. null mutations. Neuromuscul Disord 2016. [DOI: 10.1016/j.nmd.2016.06.371] [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: 10/21/2022]
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13
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Lambert-Niclot S, George EC, Pozniak A, White E, Schwimmer C, Jessen H, Johnson M, Dunn D, Perno CF, Clotet B, Plettenberg A, Blaxhult A, Palmisano L, Wittkop L, Calvez V, Marcelin AG, Raffi F. Antiretroviral resistance at virological failure in the NEAT 001/ANRS 143 trial: raltegravir plus darunavir/ritonavir or tenofovir/emtricitabine plus darunavir/ritonavir as first-line ART. J Antimicrob Chemother 2015; 71:1056-62. [PMID: 26702926 DOI: 10.1093/jac/dkv427] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2015] [Accepted: 11/10/2015] [Indexed: 01/15/2023] Open
Abstract
OBJECTIVES To describe the pattern of drug resistance at virological failure in the NEAT001/ANRS143 trial (first-line treatment with ritonavir-boosted darunavir plus either tenofovir/emtricitabine or raltegravir). METHODS Genotypic testing was performed at baseline for reverse transcriptase (RT) and protease genes and for RT, protease and integrase (IN) genes for patients with a confirmed viral load (VL) >50 copies/mL or any single VL >500 copies/mL during or after week 32. RESULTS A resistance test was obtained for 110/805 (13.7%) randomized participants qualifying for resistance analysis (61/401 of participants in the raltegravir arm and 49/404 of participants in the tenofovir/emtricitabine arm). No resistance-associated mutation (RAM) was observed in the tenofovir/emtricitabine plus darunavir/ritonavir arm, and all further analyses were limited to the raltegravir plus darunavir arm. In this group, 15/55 (27.3%) participants had viruses with IN RAMs (12 N155H alone, 1 N155H + Q148R, 1 F121Y and 1 Y143C), 2/53 (3.8%) with nucleotide analogue RT inhibitor RAMs (K65R, M41L) and 1/57 (1.8%) with primary protease RAM (L76V). The frequency of IN mutations at failure was significantly associated with baseline VL: 7.1% for a VL of <100,000 copies/mL, 25.0% for a VL of ≥100,000 copies/mL and <500,000 copies/mL and 53.8% for a VL of ≥500,000 copies/mL (PTREND = 0.007). Of note, 4/15 participants with IN RAM had a VL < 200 copies/mL at time of testing. CONCLUSIONS In the NEAT001/ANRS143 trial, there was no RAM at virological failure in the standard tenofovir/emtricitabine plus darunavir/ritonavir regimen, contrasting with a rate of 29.5% (mostly IN mutations) in the raltegravir plus darunavir/ritonavir NRTI-sparing regimen. The cumulative risk of IN RAM after 96 weeks of follow-up in participants initiating ART with raltegravir plus darunavir/ritonavir was 3.9%.
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Affiliation(s)
- S Lambert-Niclot
- Sorbonne Universités, UPMC Univ Paris 06, Institut Pierre Louis d'Epidémiologie et de Santé Publique, INSERM, UMR_S 1136, AP-HP, Hôpital Pitié-Salpêtrière, Service de Virologie, Paris, F-75013, France
| | - E C George
- MRC Clinical Trials Unit at UCL, London, UK
| | - A Pozniak
- Chelsea and Westminster Hospital, London, UK
| | - E White
- MRC Clinical Trials Unit at UCL, London, UK
| | - C Schwimmer
- INSERM, ISPED, Centre INSERM U897-Epidemiologie-Biostatistique, Bordeaux, France
| | - H Jessen
- Gemeinschaftspraxis Jessen-Stein, Berlin, Germany
| | - M Johnson
- Department of HIV Medicine, Royal Free Hospital, London, UK
| | - D Dunn
- MRC Clinical Trials Unit at UCL, London, UK
| | - C F Perno
- Department of Experimental Medicine, University of Rome Tor Vergata, Rome, Italy
| | - B Clotet
- HIV Unit and Retrovirology Laboratory 'Irsicaixa' Foundation, Hospital Universitari Germans Trias i Pujol, UAB, Badalona, Catalonia, Spain
| | - A Plettenberg
- Ifi-institut, an der Asklepios-Klinik St Georg, Hamburg, Germany
| | - A Blaxhult
- Department of Infectious Diseases, Venhaelsan-Sodersjukhuset, Stockholm, Sweden
| | - L Palmisano
- Department of Therapeutic Research and Medicine Evaluation, Istituto Superiore di Sanità, Rome, Italy
| | - L Wittkop
- INSERM, ISPED, Centre INSERM U897-Epidemiologie-Biostatistique, Bordeaux, France CHU de Bordeaux, Pôle de Santé Publique, Service d'Information Médicale, Bordeaux, France Université de Bordeaux, ISPED, Centre INSERM U897-Epidemiologie-Biostatistique, Bordeaux, France
| | - V Calvez
- Sorbonne Universités, UPMC Univ Paris 06, Institut Pierre Louis d'Epidémiologie et de Santé Publique, INSERM, UMR_S 1136, AP-HP, Hôpital Pitié-Salpêtrière, Service de Virologie, Paris, F-75013, France
| | - A G Marcelin
- Sorbonne Universités, UPMC Univ Paris 06, Institut Pierre Louis d'Epidémiologie et de Santé Publique, INSERM, UMR_S 1136, AP-HP, Hôpital Pitié-Salpêtrière, Service de Virologie, Paris, F-75013, France
| | - F Raffi
- CMIT, 46 Rue Henri Huchard, 75018 Paris, France
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Virk SA, Sriravindrarajah A, Dunn D, Liou K, Wolfenden H, Tan G, Cao C. A meta-analysis of mitral valve repair versus replacement for ischemic mitral regurgitation. Ann Cardiothorac Surg 2015; 4:400-10. [PMID: 26539343 DOI: 10.3978/j.issn.2225-319x.2015.09.06] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND The development of ischemic mitral regurgitation (IMR) portends a poor prognosis and is associated with adverse long-term outcomes. Although both mitral valve repair (MVr) and mitral valve replacement (MVR) have been performed in the surgical management of IMR, there remains uncertainty regarding the optimal approach. The aim of the present study was to meta-analyze these two procedures, with mortality as the primary endpoint. METHODS Seven databases were systematically searched for studies reporting peri-operative or late mortality following MVr and MVR for IMR. Data were independently extracted by two reviewers and meta-analyzed according to pre-defined study selection criteria and clinical endpoints. RESULTS Overall, 22 observational studies (n=3,815 patients) and one randomized controlled trial (n=251) were included. Meta-analysis demonstrated significantly reduced peri-operative mortality [relative risk (RR) 0.61; 95% confidence intervals (CI), 0.47-0.77; I(2)=0%; P<0.001] and late mortality (RR, 0.78; 95% CI, 0.67-0.92; I(2)=0%; P=0.002) following MVr. This finding was more pronounced in studies with longer follow-up beyond 3 years. At latest follow-up, recurrence of at least moderate mitral regurgitation (MR) was higher following MVr (RR, 5.21; 95% CI, 2.66-10.22; I(2)=46%; P<0.001) but the incidence of mitral valve re-operations were similar. CONCLUSIONS In the present meta-analysis, MVr was associated with reduced peri-operative and late mortality compared to MVR, despite an increased recurrence of at least moderate MR at follow-up. However, these findings must be considered within the context of the differing patient characteristics that may affect allocation to MVr or MVR. Larger prospective studies are warranted to further compare long-term survival and freedom from re-intervention.
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Affiliation(s)
- Sohaib A Virk
- 1 The Systematic Review Unit, The Collaborative Research (CORE) Group, Macquarie University, Sydney, Australia ; 2 Department of Cardiology, 3 Department of Cardiothoracic Surgery, Prince of Wales Hospital, Sydney, Australia
| | - Arunan Sriravindrarajah
- 1 The Systematic Review Unit, The Collaborative Research (CORE) Group, Macquarie University, Sydney, Australia ; 2 Department of Cardiology, 3 Department of Cardiothoracic Surgery, Prince of Wales Hospital, Sydney, Australia
| | - Douglas Dunn
- 1 The Systematic Review Unit, The Collaborative Research (CORE) Group, Macquarie University, Sydney, Australia ; 2 Department of Cardiology, 3 Department of Cardiothoracic Surgery, Prince of Wales Hospital, Sydney, Australia
| | - Kevin Liou
- 1 The Systematic Review Unit, The Collaborative Research (CORE) Group, Macquarie University, Sydney, Australia ; 2 Department of Cardiology, 3 Department of Cardiothoracic Surgery, Prince of Wales Hospital, Sydney, Australia
| | - Hugh Wolfenden
- 1 The Systematic Review Unit, The Collaborative Research (CORE) Group, Macquarie University, Sydney, Australia ; 2 Department of Cardiology, 3 Department of Cardiothoracic Surgery, Prince of Wales Hospital, Sydney, Australia
| | - Genevieve Tan
- 1 The Systematic Review Unit, The Collaborative Research (CORE) Group, Macquarie University, Sydney, Australia ; 2 Department of Cardiology, 3 Department of Cardiothoracic Surgery, Prince of Wales Hospital, Sydney, Australia
| | - Christopher Cao
- 1 The Systematic Review Unit, The Collaborative Research (CORE) Group, Macquarie University, Sydney, Australia ; 2 Department of Cardiology, 3 Department of Cardiothoracic Surgery, Prince of Wales Hospital, Sydney, Australia
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15
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Baxter JD, Dunn D, White E, Sharma S, Geretti AM, Kozal MJ, Johnson MA, Jacoby S, Llibre JM, Lundgren J. Global HIV-1 transmitted drug resistance in the INSIGHT Strategic Timing of AntiRetroviral Treatment (START) trial. HIV Med 2015; 16 Suppl 1:77-87. [PMID: 25711326 DOI: 10.1111/hiv.12236] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/21/2014] [Indexed: 01/21/2023]
Abstract
OBJECTIVES HIV-1 transmitted drug resistance (TDR) in treatment-naïve individuals is a well-described phenomenon. Baseline genotypic resistance testing is considered standard of care in most developed areas of the world. The aim of this analysis was to characterize HIV-1 TDR and the use of resistance testing in START trial participants. METHODS In the Strategic Timing of AntiRetroviral Treatment (START) trial, baseline genotypic resistance testing results were collected at study entry and analysed centrally to determine the prevalence of TDR in the study population. Resistance was based on a modified 2009 World Health Organization definition to reflect newer resistance mutations. RESULTS Baseline resistance testing was available in 1946 study participants. Higher rates of testing occurred in Europe (86.7%), the USA (81.3%) and Australia (89.9%) as compared with Asia (22.2%), South America (1.8%) and Africa (0.1%). The overall prevalence of TDR was 10.1%, more commonly to nonnucleoside reverse transcriptase inhibitors (4.5%) and nucleoside reverse transcriptase inhibitors (4%) compared with protease inhibitors (2.8%). The most frequent TDR mutations observed were M41L, D67N/G/E, T215F/Y/I/S/C/D/E/V/N, 219Q/E/N/R, K103N/S, and G190A/S/E in reverse transcriptase, and M46I/L and L90M in protease. By country, the prevalence of TDR was highest in Australia (17.5%), France (16.7%), the USA (12.6%) and Spain (12.6%). No participant characteristics were identified as predictors of the presence of TDR. CONCLUSIONS START participants enrolled in resource-rich areas of the world were more likely to have baseline resistance testing. In Europe, the USA and Australia, TDR prevalence rates varied by country.
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Affiliation(s)
- J D Baxter
- Cooper University Hospital/Cooper Medical School of Rowan University, Camden, NJ, USA
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16
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Jose S, Quinn K, Dunn D, Cox A, Sabin C, Fidler S. Virological failure and development of new resistance mutations according to CD4 count at combination antiretroviral therapy initiation. HIV Med 2015; 17:368-72. [PMID: 26306942 PMCID: PMC4949527 DOI: 10.1111/hiv.12302] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/01/2015] [Indexed: 11/28/2022]
Abstract
Objectives No randomized controlled trials have yet reported an individual patient benefit of initiating combination antiretroviral therapy (cART) at CD4 counts > 350 cells/μL. It is hypothesized that earlier initiation of cART in asymptomatic and otherwise healthy individuals may lead to poorer adherence and subsequently higher rates of resistance development. Methods In a large cohort of HIV‐positive individuals, we investigated the emergence of new resistance mutations upon virological treatment failure according to the CD4 count at the initiation of cART. Results Of 7918 included individuals, 6514 (82.3%), 996 (12.6%) and 408 (5.2%) started cART with a CD4 count ≤ 350, 351–499 and ≥ 500 cells/μL, respectively. Virological rebound occurred while on cART in 488 (7.5%), 46 (4.6%) and 30 (7.4%) with a baseline CD4 count ≤ 350, 351–499 and ≥ 500 cells/μL, respectively. Only four (13.0%) individuals with a baseline CD4 count > 350 cells/μL in receipt of a resistance test at viral load rebound were found to have developed new resistance mutations. This compared to 107 (41.2%) of those with virological failure who had initiated cART with a CD4 count < 350 cells/μL. Conclusions We found no evidence of increased rates of resistance development when cART was initiated at CD4 counts above 350 cells/μL.
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Affiliation(s)
- S Jose
- Research Department of Infection and Population Health, UCL, London, UK
| | - K Quinn
- Department of Medicine, Imperial College London, London, UK
| | - D Dunn
- Medical Research Council Clinical Trials Unit at UCL, London, UK
| | - A Cox
- Infection and Immunity, Imperial College Healthcare NHS Trust, London, UK
| | - C Sabin
- Research Department of Infection and Population Health, UCL, London, UK
| | - S Fidler
- Department of Medicine, Imperial College London, London, UK
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17
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Yue F, Cheng Y, Breschi A, Vierstra J, Wu W, Ryba T, Sandstrom R, Ma Z, Davis C, Pope BD, Shen Y, Pervouchine DD, Djebali S, Thurman RE, Kaul R, Rynes E, Kirilusha A, Marinov GK, Williams BA, Trout D, Amrhein H, Fisher-Aylor K, Antoshechkin I, DeSalvo G, See LH, Fastuca M, Drenkow J, Zaleski C, Dobin A, Prieto P, Lagarde J, Bussotti G, Tanzer A, Denas O, Li K, Bender MA, Zhang M, Byron R, Groudine MT, McCleary D, Pham L, Ye Z, Kuan S, Edsall L, Wu YC, Rasmussen MD, Bansal MS, Kellis M, Keller CA, Morrissey CS, Mishra T, Jain D, Dogan N, Harris RS, Cayting P, Kawli T, Boyle AP, Euskirchen G, Kundaje A, Lin S, Lin Y, Jansen C, Malladi VS, Cline MS, Erickson DT, Kirkup VM, Learned K, Sloan CA, Rosenbloom KR, Lacerda de Sousa B, Beal K, Pignatelli M, Flicek P, Lian J, Kahveci T, Lee D, Kent WJ, Ramalho Santos M, Herrero J, Notredame C, Johnson A, Vong S, Lee K, Bates D, Neri F, Diegel M, Canfield T, Sabo PJ, Wilken MS, Reh TA, Giste E, Shafer A, Kutyavin T, Haugen E, Dunn D, Reynolds AP, Neph S, Humbert R, Hansen RS, De Bruijn M, Selleri L, Rudensky A, Josefowicz S, Samstein R, Eichler EE, Orkin SH, Levasseur D, Papayannopoulou T, Chang KH, Skoultchi A, Gosh S, Disteche C, Treuting P, Wang Y, Weiss MJ, Blobel GA, Cao X, Zhong S, Wang T, Good PJ, Lowdon RF, Adams LB, Zhou XQ, Pazin MJ, Feingold EA, Wold B, Taylor J, Mortazavi A, Weissman SM, Stamatoyannopoulos JA, Snyder MP, Guigo R, Gingeras TR, Gilbert DM, Hardison RC, Beer MA, Ren B. A comparative encyclopedia of DNA elements in the mouse genome. Nature 2015; 515:355-64. [PMID: 25409824 PMCID: PMC4266106 DOI: 10.1038/nature13992] [Citation(s) in RCA: 1135] [Impact Index Per Article: 126.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2014] [Accepted: 10/24/2014] [Indexed: 12/11/2022]
Abstract
The laboratory mouse shares the majority of its protein-coding genes with humans, making it the premier model organism in biomedical research, yet the two mammals differ in significant ways. To gain greater insights into both shared and species-specific transcriptional and cellular regulatory programs in the mouse, the Mouse ENCODE Consortium has mapped transcription, DNase I hypersensitivity, transcription factor binding, chromatin modifications and replication domains throughout the mouse genome in diverse cell and tissue types. By comparing with the human genome, we not only confirm substantial conservation in the newly annotated potential functional sequences, but also find a large degree of divergence of sequences involved in transcriptional regulation, chromatin state and higher order chromatin organization. Our results illuminate the wide range of evolutionary forces acting on genes and their regulatory regions, and provide a general resource for research into mammalian biology and mechanisms of human diseases.
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Affiliation(s)
- Feng Yue
- 1] Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA. [2] Department of Biochemistry and Molecular Biology, College of Medicine, The Pennsylvania State University, Hershey, Pennsylvania 17033, USA
| | - Yong Cheng
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Alessandra Breschi
- Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain
| | - Jeff Vierstra
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Weisheng Wu
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Tyrone Ryba
- Department of Biological Science, 319 Stadium Drive, Florida State University, Tallahassee, Florida 32306-4295, USA
| | - Richard Sandstrom
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Zhihai Ma
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Carrie Davis
- Functional Genomics, Cold Spring Harbor Laboratory, Bungtown Road, Cold Spring Harbor, New York 11724, USA
| | - Benjamin D Pope
- Department of Biological Science, 319 Stadium Drive, Florida State University, Tallahassee, Florida 32306-4295, USA
| | - Yin Shen
- Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Dmitri D Pervouchine
- Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain
| | - Sarah Djebali
- Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain
| | - Robert E Thurman
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Rajinder Kaul
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Eric Rynes
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Anthony Kirilusha
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - Georgi K Marinov
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - Brian A Williams
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - Diane Trout
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - Henry Amrhein
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - Katherine Fisher-Aylor
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - Igor Antoshechkin
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - Gilberto DeSalvo
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - Lei-Hoon See
- Functional Genomics, Cold Spring Harbor Laboratory, Bungtown Road, Cold Spring Harbor, New York 11724, USA
| | - Meagan Fastuca
- Functional Genomics, Cold Spring Harbor Laboratory, Bungtown Road, Cold Spring Harbor, New York 11724, USA
| | - Jorg Drenkow
- Functional Genomics, Cold Spring Harbor Laboratory, Bungtown Road, Cold Spring Harbor, New York 11724, USA
| | - Chris Zaleski
- Functional Genomics, Cold Spring Harbor Laboratory, Bungtown Road, Cold Spring Harbor, New York 11724, USA
| | - Alex Dobin
- Functional Genomics, Cold Spring Harbor Laboratory, Bungtown Road, Cold Spring Harbor, New York 11724, USA
| | - Pablo Prieto
- Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain
| | - Julien Lagarde
- Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain
| | - Giovanni Bussotti
- Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain
| | - Andrea Tanzer
- 1] Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain. [2] Department of Theoretical Chemistry, Faculty of Chemistry, University of Vienna, Waehringerstrasse 17/3/303, A-1090 Vienna, Austria
| | - Olgert Denas
- Departments of Biology and Mathematics and Computer Science, Emory University, O. Wayne Rollins Research Center, 1510 Clifton Road NE, Atlanta, Georgia 30322, USA
| | - Kanwei Li
- Departments of Biology and Mathematics and Computer Science, Emory University, O. Wayne Rollins Research Center, 1510 Clifton Road NE, Atlanta, Georgia 30322, USA
| | - M A Bender
- 1] Department of Pediatrics, University of Washington, Seattle, Washington 98195, USA. [2] Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Miaohua Zhang
- Basic Science Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Rachel Byron
- Basic Science Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Mark T Groudine
- 1] Basic Science Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. [2] Department of Radiation Oncology, University of Washington, Seattle, Washington 98195, USA
| | - David McCleary
- Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Long Pham
- Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Zhen Ye
- Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Samantha Kuan
- Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Lee Edsall
- Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Yi-Chieh Wu
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Matthew D Rasmussen
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Mukul S Bansal
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Manolis Kellis
- 1] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA. [2] Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
| | - Cheryl A Keller
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Christapher S Morrissey
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Tejaswini Mishra
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Deepti Jain
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Nergiz Dogan
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Robert S Harris
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Philip Cayting
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Trupti Kawli
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Alan P Boyle
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Ghia Euskirchen
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Anshul Kundaje
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Shin Lin
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Yiing Lin
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Camden Jansen
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, California 92697, USA
| | - Venkat S Malladi
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Melissa S Cline
- Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), Santa Cruz, California 95064, USA
| | - Drew T Erickson
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Vanessa M Kirkup
- Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), Santa Cruz, California 95064, USA
| | - Katrina Learned
- Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), Santa Cruz, California 95064, USA
| | - Cricket A Sloan
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Kate R Rosenbloom
- Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), Santa Cruz, California 95064, USA
| | - Beatriz Lacerda de Sousa
- Departments of Obstetrics/Gynecology and Pathology, and Center for Reproductive Sciences, University of California San Francisco, San Francisco, California 94143, USA
| | - Kathryn Beal
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Miguel Pignatelli
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Jin Lian
- Yale University, Department of Genetics, PO Box 208005, 333 Cedar Street, New Haven, Connecticut 06520-8005, USA
| | - Tamer Kahveci
- Computer &Information Sciences &Engineering, University of Florida, Gainesville, Florida 32611, USA
| | - Dongwon Lee
- McKusick-Nathans Institute of Genetic Medicine and Department of Biomedical Engineering, Johns Hopkins University, 733 N. Broadway, BRB 573 Baltimore, Maryland 21205, USA
| | - W James Kent
- Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz (UCSC), Santa Cruz, California 95064, USA
| | - Miguel Ramalho Santos
- Departments of Obstetrics/Gynecology and Pathology, and Center for Reproductive Sciences, University of California San Francisco, San Francisco, California 94143, USA
| | - Javier Herrero
- 1] European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. [2] Bill Lyons Informatics Centre, UCL Cancer Institute, University College London, London WC1E 6DD, UK
| | - Cedric Notredame
- Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain
| | - Audra Johnson
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Shinny Vong
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Kristen Lee
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Daniel Bates
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Fidencio Neri
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Morgan Diegel
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Theresa Canfield
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Peter J Sabo
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Matthew S Wilken
- Department of Biological Structure, University of Washington, HSB I-516, 1959 NE Pacific Street, Seattle, Washington 98195, USA
| | - Thomas A Reh
- Department of Biological Structure, University of Washington, HSB I-516, 1959 NE Pacific Street, Seattle, Washington 98195, USA
| | - Erika Giste
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Anthony Shafer
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Tanya Kutyavin
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Eric Haugen
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Douglas Dunn
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Alex P Reynolds
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Shane Neph
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Richard Humbert
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - R Scott Hansen
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Marella De Bruijn
- MRC Molecular Haemotology Unit, University of Oxford, Oxford OX3 9DS, UK
| | - Licia Selleri
- Department of Cell and Developmental Biology, Weill Cornell Medical College, New York, New York 10065, USA
| | - Alexander Rudensky
- HHMI and Ludwig Center at Memorial Sloan Kettering Cancer Center, Immunology Program, Memorial Sloan Kettering Cancer Canter, New York, New York 10065, USA
| | - Steven Josefowicz
- HHMI and Ludwig Center at Memorial Sloan Kettering Cancer Center, Immunology Program, Memorial Sloan Kettering Cancer Canter, New York, New York 10065, USA
| | - Robert Samstein
- HHMI and Ludwig Center at Memorial Sloan Kettering Cancer Center, Immunology Program, Memorial Sloan Kettering Cancer Canter, New York, New York 10065, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Stuart H Orkin
- Dana Farber Cancer Institute, Harvard Medical School, Cambridge, Massachusetts 02138, USA
| | - Dana Levasseur
- University of Iowa Carver College of Medicine, Department of Internal Medicine, Iowa City, Iowa 52242, USA
| | - Thalia Papayannopoulou
- Division of Hematology, Department of Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Kai-Hsin Chang
- University of Iowa Carver College of Medicine, Department of Internal Medicine, Iowa City, Iowa 52242, USA
| | - Arthur Skoultchi
- Department of Cell Biology, Albert Einstein College of Medicine, Bronx, New York 10461, USA
| | - Srikanta Gosh
- Department of Cell Biology, Albert Einstein College of Medicine, Bronx, New York 10461, USA
| | - Christine Disteche
- Department of Pathology, University of Washington, Seattle, Washington 98195, USA
| | - Piper Treuting
- Department of Comparative Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Yanli Wang
- Bioinformatics and Genomics program, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Mitchell J Weiss
- Department of Hematology, St Jude Children's Research Hospital, Memphis, Tennessee 38105, USA
| | - Gerd A Blobel
- 1] Division of Hematology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA. [2] Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Xiaoyi Cao
- Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Sheng Zhong
- Department of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Ting Wang
- Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Peter J Good
- NHGRI, National Institutes of Health, 5635 Fishers Lane, Bethesda, Maryland 20892-9307, USA
| | - Rebecca F Lowdon
- NHGRI, National Institutes of Health, 5635 Fishers Lane, Bethesda, Maryland 20892-9307, USA
| | - Leslie B Adams
- NHGRI, National Institutes of Health, 5635 Fishers Lane, Bethesda, Maryland 20892-9307, USA
| | - Xiao-Qiao Zhou
- NHGRI, National Institutes of Health, 5635 Fishers Lane, Bethesda, Maryland 20892-9307, USA
| | - Michael J Pazin
- NHGRI, National Institutes of Health, 5635 Fishers Lane, Bethesda, Maryland 20892-9307, USA
| | - Elise A Feingold
- NHGRI, National Institutes of Health, 5635 Fishers Lane, Bethesda, Maryland 20892-9307, USA
| | - Barbara Wold
- Division of Biology, California Institute of Technology, Pasadena, California 91125, USA
| | - James Taylor
- Departments of Biology and Mathematics and Computer Science, Emory University, O. Wayne Rollins Research Center, 1510 Clifton Road NE, Atlanta, Georgia 30322, USA
| | - Ali Mortazavi
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, California 92697, USA
| | - Sherman M Weissman
- Yale University, Department of Genetics, PO Box 208005, 333 Cedar Street, New Haven, Connecticut 06520-8005, USA
| | | | - Michael P Snyder
- Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA
| | - Roderic Guigo
- Bioinformatics and Genomics, Centre for Genomic Regulation (CRG) and UPF, Doctor Aiguader, 88, 08003 Barcelona, Catalonia, Spain
| | - Thomas R Gingeras
- Functional Genomics, Cold Spring Harbor Laboratory, Bungtown Road, Cold Spring Harbor, New York 11724, USA
| | - David M Gilbert
- Department of Biological Science, 319 Stadium Drive, Florida State University, Tallahassee, Florida 32306-4295, USA
| | - Ross C Hardison
- Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Michael A Beer
- McKusick-Nathans Institute of Genetic Medicine and Department of Biomedical Engineering, Johns Hopkins University, 733 N. Broadway, BRB 573 Baltimore, Maryland 21205, USA
| | - Bing Ren
- Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA
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18
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Stergachis AB, Neph S, Sandstrom R, Haugen E, Reynolds AP, Zhang M, Byron R, Canfield T, Stelhing-Sun S, Lee K, Thurman RE, Vong S, Bates D, Neri F, Diegel M, Giste E, Dunn D, Vierstra J, Hansen RS, Johnson AK, Sabo PJ, Wilken MS, Reh TA, Treuting PM, Kaul R, Groudine M, Bender MA, Borenstein E, Stamatoyannopoulos JA. Conservation of trans-acting circuitry during mammalian regulatory evolution. Nature 2015; 515:365-70. [PMID: 25409825 PMCID: PMC4405208 DOI: 10.1038/nature13972] [Citation(s) in RCA: 176] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2014] [Accepted: 10/15/2014] [Indexed: 12/27/2022]
Abstract
The basic body plan and major physiological axes have been highly conserved during mammalian evolution, yet only a small fraction of the human genome sequence appears to be subject to evolutionary constraint. To quantify cis- versus trans-acting contributions to mammalian regulatory evolution, we performed genomic DNase I footprinting of the mouse genome across 25 cell and tissue types, collectively defining ∼8.6 million transcription factor (TF) occupancy sites at nucleotide resolution. Here we show that mouse TF footprints conjointly encode a regulatory lexicon that is ∼95% similar with that derived from human TF footprints. However, only ∼20% of mouse TF footprints have human orthologues. Despite substantial turnover of the cis-regulatory landscape, nearly half of all pairwise regulatory interactions connecting mouse TF genes have been maintained in orthologous human cell types through evolutionary innovation of TF recognition sequences. Furthermore, the higher-level organization of mouse TF-to-TF connections into cellular network architectures is nearly identical with human. Our results indicate that evolutionary selection on mammalian gene regulation is targeted chiefly at the level of trans-regulatory circuitry, enabling and potentiating cis-regulatory plasticity. Mouse genomic footprinting reveals conservation of transcription factor (TF) recognition repertoires and trans-regulatory circuitry despite massive turnover of DNA elements that contact TFs in vivo. Having generated genomic DNase I footprinting data of the mouse genome across 25 cell and tissue types, these authors use these data to quantify cis-versus-trans regulatory contributions to mammalian regulatory evolution. They describe more than 600 motifs that collectively are over 95% similar to that recognized in vivo by human transcription factors (TFs). Despite substantial turnover of the cis-regulatory landscape around each TF gene, nearly half of all pairwise regulatory interactions connecting mouse TF genes have been maintained in orthologous human cell types through evolutionary innovation of TF recognition sequences. Conservation between mouse and human TF regulatory networks is particularly similar at the highest organization level. The work was performed as part of the mouse ENCODE project.
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Affiliation(s)
- Andrew B Stergachis
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Shane Neph
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Richard Sandstrom
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Eric Haugen
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Alex P Reynolds
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Miaohua Zhang
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Rachel Byron
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Theresa Canfield
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Sandra Stelhing-Sun
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Kristen Lee
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Robert E Thurman
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Shinny Vong
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Daniel Bates
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Fidencio Neri
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Morgan Diegel
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Erika Giste
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Douglas Dunn
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Jeff Vierstra
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - R Scott Hansen
- 1] Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA [2] Department of Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Audra K Johnson
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Peter J Sabo
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Matthew S Wilken
- Department of Biological Structure, University of Washington, Seattle, Washington 98195, USA
| | - Thomas A Reh
- Department of Biological Structure, University of Washington, Seattle, Washington 98195, USA
| | - Piper M Treuting
- Department of Comparative Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Rajinder Kaul
- 1] Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA [2] Department of Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Mark Groudine
- 1] Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA [2] Division of Radiation Oncology, University of Washington, Seattle, Washington 98195, USA
| | - M A Bender
- 1] Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA [2] Department of Pediatrics, University of Washington, Seattle, Washington 98195, USA
| | - Elhanan Borenstein
- 1] Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA [2] Department of Computer Science and Engineering, University of Washington, Seattle, Washington 98102, USA [3] Santa Fe Institute, Santa Fe, New Mexico 87501, USA
| | - John A Stamatoyannopoulos
- 1] Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA [2] Department of Medicine, University of Washington, Seattle, Washington 98195, USA
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19
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Vierstra J, Rynes E, Sandstrom R, Zhang M, Canfield T, Hansen RS, Stehling-Sun S, Sabo PJ, Byron R, Humbert R, Thurman RE, Johnson AK, Vong S, Lee K, Bates D, Neri F, Diegel M, Giste E, Haugen E, Dunn D, Wilken MS, Josefowicz S, Samstein R, Chang KH, Eichler EE, De Bruijn M, Reh TA, Skoultchi A, Rudensky A, Orkin SH, Papayannopoulou T, Treuting PM, Selleri L, Kaul R, Groudine M, Bender MA, Stamatoyannopoulos JA. Mouse regulatory DNA landscapes reveal global principles of cis-regulatory evolution. Science 2014; 346:1007-12. [PMID: 25411453 PMCID: PMC4337786 DOI: 10.1126/science.1246426] [Citation(s) in RCA: 186] [Impact Index Per Article: 18.6] [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: 12/14/2022]
Abstract
To study the evolutionary dynamics of regulatory DNA, we mapped >1.3 million deoxyribonuclease I-hypersensitive sites (DHSs) in 45 mouse cell and tissue types, and systematically compared these with human DHS maps from orthologous compartments. We found that the mouse and human genomes have undergone extensive cis-regulatory rewiring that combines branch-specific evolutionary innovation and loss with widespread repurposing of conserved DHSs to alternative cell fates, and that this process is mediated by turnover of transcription factor (TF) recognition elements. Despite pervasive evolutionary remodeling of the location and content of individual cis-regulatory regions, within orthologous mouse and human cell types the global fraction of regulatory DNA bases encoding recognition sites for each TF has been strictly conserved. Our findings provide new insights into the evolutionary forces shaping mammalian regulatory DNA landscapes.
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Affiliation(s)
- Jeff Vierstra
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Eric Rynes
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Richard Sandstrom
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Miaohua Zhang
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Theresa Canfield
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - R Scott Hansen
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Sandra Stehling-Sun
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Peter J Sabo
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Rachel Byron
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Richard Humbert
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Robert E Thurman
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Audra K Johnson
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Shinny Vong
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Kristen Lee
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Daniel Bates
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Fidencio Neri
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Morgan Diegel
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Erika Giste
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Eric Haugen
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Douglas Dunn
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Matthew S Wilken
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - Steven Josefowicz
- Immunology Program, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA. Howard Hughes Medical Institute
| | - Robert Samstein
- Immunology Program, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA. Howard Hughes Medical Institute
| | - Kai-Hsin Chang
- Division of Hematology, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA. Howard Hughes Medical Institute
| | - Marella De Bruijn
- Medical Research Council (MRC) Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Oxford OX3 9DS, UK
| | - Thomas A Reh
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - Arthur Skoultchi
- Department of Cell Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Alexander Rudensky
- Immunology Program, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA. Howard Hughes Medical Institute
| | - Stuart H Orkin
- Howard Hughes Medical Institute. Division of Hematology/Oncology, Children's Hospital Boston and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Stem Cell Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Thalia Papayannopoulou
- Division of Hematology, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Piper M Treuting
- Department of Comparative Medicine, University of Washington, Seattle, WA 98195, USA
| | - Licia Selleri
- Department of Cell and Developmental Biology, Weill Medical College of Cornell University, New York, NY 10065, USA
| | - Rajinder Kaul
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA. Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Mark Groudine
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. Department of Radiation Oncology, University of Washington, Seattle, WA 98109, USA
| | - M A Bender
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | - John A Stamatoyannopoulos
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA. Division of Oncology, Department of Medicine, University of Washington, Seattle, WA 98195, USA.
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Oddershede L, Walker S, Paton N, Stöhr W, Dunn D, Sculpher MJ. Cost-Effectiveness Analysis of Protease Inhibitor Monotherapy Verse Ongoing Triple-Therapy in the Long-Term Management of HIV Patients. Value Health 2014; 17:A683. [PMID: 27202527 DOI: 10.1016/j.jval.2014.08.2550] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Affiliation(s)
| | - S Walker
- University of York, Heslington, York, UK
| | - N Paton
- University College London, London, UK
| | - W Stöhr
- University College London, London, UK
| | - D Dunn
- University College London, London, UK
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Nociti FH, Foster BL, Tran AB, Dunn D, Presland RB, Wang L, Bhattacharyya N, Collins MT, Somerman MJ. Vitamin D represses dentin matrix protein 1 in cementoblasts and osteocytes. J Dent Res 2013; 93:148-54. [PMID: 24334408 DOI: 10.1177/0022034513516344] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Calcium and phosphorus homeostasis is achieved by interplay among hormones, including 1,25(OH)2D3 (1,25D), parathyroid hormone, and fibroblast growth factor 23 (FGF23), and their interactions with other proteins. For example, mutations in dentin matrix protein 1 (DMP-1) result in increased FGF23 and hypophosphatemic rickets. 1,25D is reported to modulate FGF23; thus, we hypothesized that 1,25D may be involved in modulating DMP-1 in an intermediary step. Murine cementoblasts (OCCM-30) and osteocyte-like cells (MLO-Y4 and MLO-A5), known to express DMP-1, were used to analyze effects of 1,25D on DMP-1 expression in vitro. DMP-1 mRNA levels decreased by 50% (p < .05) in the presence of 1,25D in all cell types, while use of a vitamin D receptor (VDR) agonist (EB1089) and antagonist (23S,25S)-DLAM-2P confirmed that VDR pathway activation was required for this response. Further analysis showed that histone deacetylase recruitment was necessary, but neither protein kinase A nor C pathways were required. In conclusion, our results support the hypothesis that 1,25D regulates DMP-1 expression through a VDR-dependent mechanism, possibly contributing to local changes in bone/tooth mineral homeostasis.
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Affiliation(s)
- F H Nociti
- National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, USA
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22
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Santoro MM, Sabin C, Forbici F, Bansi L, Dunn D, Fearnhill E, Boumis E, Nicastri E, Antinori A, Palamara G, Callegaro A, Francisci D, Zoncada A, Maggiolo F, Zazzi M, Perno CF, Ceccherini-Silberstein F, Mussini C. Drug-resistance development differs between HIV-1-infected patients failing first-line antiretroviral therapy containing nonnucleoside reverse transcriptase inhibitors with and without thymidine analogues. HIV Med 2013; 14:571-7. [PMID: 23668660 DOI: 10.1111/hiv.12044] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/19/2013] [Indexed: 10/26/2022]
Abstract
OBJECTIVES We evaluated the emergence of drug resistance in patients failing first-line regimens containing one nonnucleoside reverse transcriptase inhibitor (NNRTI) administered with zidovudine (ZDV) + lamivudine (the ZDV group) or non-thymidine analogues (non-TAs) (tenofovir or abacavir, + lamivudine or emtricitabine; the non-TA group). METHODS Three hundred HIV-1-infected patients failing a first-line NNRTI-containing regimen (nevirapine, n = 148; efavirenz, n = 152) were included in the analysis. Virological failure was defined as viraemia ≥ 400 HIV-1 RNA copies/mL for the first time at least 6 months after starting the NNRTI-based regimen. For each patient, a genotypic resistance test at failure was available. The presence of drug-resistance mutations in HIV-1 reverse transcriptase was evaluated by comparing patients treated with NNRTI + zidovudine + lamivudine vs. those treated with NNRTI + non-TA. RESULTS A total of 208 patients were failing with NNRTI + zidovudine + lamivudine and 92 with NNRTI + non-TA. No significant differences were observed between the non-TA group and the ZDV group regarding the time of virological failure [median (interquartile range): 12 (8-25) vs. 13 (9-32) months, respectively; P = 0.119] and viraemia [median (interquartile range): 4.0 (3.2-4.9) vs. 4.0 (3.3-4.7) log₁₀ copies/mL, respectively; P = 0.894]. Resistance to reverse transcriptase inhibitors (RTIs) occurred at a significant lower frequency in the non-TA group than in the ZDV group (54.3 vs. 75.5%, respectively; P = 0.001). This difference was mainly attributable to a significantly lower prevalence of NNRTI resistance (54.3 vs. 74.0%, respectively; P = 0.002) and of the nucleoside reverse transcriptase inhibitor (NRTI) mutation M184V (23.9 vs. 63.5%, respectively; P < 0.001) in the non-TA group compared with the ZDV group. As expected, the mutation K65R was found only in the non-TA group (18.5%; P < 0.001). CONCLUSIONS At first-line regimen failure, a lower prevalence of RTI resistance was found in patients treated with NNRTI + non-TA compared with those treated with NNRTI + zidovudine + lamivudine. These results confirm that the choice of backbone may influence the prevalence of drug resistance at virological failure.
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23
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Koning FA, Castro H, Dunn D, Tilston P, Cane PA, Mbisa JL. Subtype-specific differences in the development of accessory mutations associated with high-level resistance to HIV-1 nucleoside reverse transcriptase inhibitors. J Antimicrob Chemother 2013; 68:1220-36. [PMID: 23386260 DOI: 10.1093/jac/dkt012] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES To identify accessory mutations associated with high-level resistance to reverse transcriptase (RT) inhibitors in HIV-1 subtypes B and C. METHODS Changes relative to the wild-type for codons 1-400 of RT were analysed from treatment-experienced patients infected with subtypes B (5464 patients) and C (1920 patients). Positions associated with the accumulation of mutations conferring resistance to thymidine analogues and to non-nucleoside RT inhibitors (NNRTIs) were identified. A subtype-specific single-replication cycle drug susceptibility assay was used to determine whether some of the mutations affected drug susceptibility or viral infectivity. RESULTS In subtype B, mutations at 31 and 26 positions were associated with the accumulation of thymidine analogue mutations (TAMs) and NNRTI mutations, respectively; in subtype C, 18 and 13 positions were identified, respectively. Amino acid changes at the following positions were differentially associated with (i) the accumulation of 0-4+ TAMs in subtypes B and C (away from consensus): 43 (27.0% B versus 2.5% C); 118 (36.4% B versus 16.2% C); 135 (12.5% B versus 28.0% C); and 326 (2.6% towards consensus in B versus 7.6% away in C) and (ii) the accumulation of 0-3+ NNRTI mutations (away from consensus): 43 (10.2% B versus 0.5% C); and 68 (5.2% B versus 10.3% C). Codon changes K43E, E44D and V118I were found to have no effect on susceptibility to three NRTIs with or without TAMs in either subtype; however, some accessory mutations had subtype-specific effects on viral infectivity. CONCLUSIONS Differences between subtypes B and C were observed in the development and effect of accessory mutations associated with high-level resistance to RT inhibitors.
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Affiliation(s)
- F A Koning
- Antiviral Unit, Virus Reference Department, Health Protection Agency, London, UK
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24
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Thurman RE, Rynes E, Humbert R, Vierstra J, Maurano MT, Haugen E, Sheffield NC, Stergachis AB, Wang H, Vernot B, Garg K, Sandstrom R, Bates D, Canfield TK, Diegel M, Dunn D, Ebersol AK, Frum T, Giste E, Harding L, Johnson AK, Johnson EM, Kutyavin T, Lajoie B, Lee BK, Lee K, London D, Lotakis D, Neph S, Neri F, Nguyen ED, Reynolds AP, Roach V, Safi A, Sanchez ME, Sanyal A, Shafer A, Simon JM, Song L, Vong S, Weaver M, Zhang Z, Zhang Z, Lenhard B, Tewari M, Dorschner MO, Hansen RS, Navas PA, Stamatoyannopoulos G, Iyer VR, Lieb JD, Sunyaev SR, Akey JM, Sabo PJ, Kaul R, Furey TS, Dekker J, Crawford GE, Stamatoyannopoulos JA. The accessible chromatin landscape of the human genome. Nature 2012; 489:75-82. [PMID: 22955617 PMCID: PMC3721348 DOI: 10.1038/nature11232] [Citation(s) in RCA: 1898] [Impact Index Per Article: 158.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2011] [Accepted: 05/15/2012] [Indexed: 02/07/2023]
Abstract
DNase I hypersensitive sites (DHSs) are markers of regulatory DNA and have underpinned the discovery of all classes of cis-regulatory elements including enhancers, promoters, insulators, silencers and locus control regions. Here we present the first extensive map of human DHSs identified through genome-wide profiling in 125 diverse cell and tissue types. We identify ∼2.9 million DHSs that encompass virtually all known experimentally validated cis-regulatory sequences and expose a vast trove of novel elements, most with highly cell-selective regulation. Annotating these elements using ENCODE data reveals novel relationships between chromatin accessibility, transcription, DNA methylation and regulatory factor occupancy patterns. We connect ∼580,000 distal DHSs with their target promoters, revealing systematic pairing of different classes of distal DHSs and specific promoter types. Patterning of chromatin accessibility at many regulatory regions is organized with dozens to hundreds of co-activated elements, and the transcellular DNase I sensitivity pattern at a given region can predict cell-type-specific functional behaviours. The DHS landscape shows signatures of recent functional evolutionary constraint. However, the DHS compartment in pluripotent and immortalized cells exhibits higher mutation rates than that in highly differentiated cells, exposing an unexpected link between chromatin accessibility, proliferative potential and patterns of human variation.
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Affiliation(s)
- Robert E. Thurman
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Eric Rynes
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Richard Humbert
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Jeff Vierstra
- Department of Genome Sciences, University of Washington, Seattle, WA
| | | | - Eric Haugen
- Department of Genome Sciences, University of Washington, Seattle, WA
| | | | | | - Hao Wang
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Benjamin Vernot
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Kavita Garg
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Richard Sandstrom
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Daniel Bates
- Department of Genome Sciences, University of Washington, Seattle, WA
| | | | - Morgan Diegel
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Douglas Dunn
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Abigail K. Ebersol
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Tristan Frum
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Erika Giste
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Lisa Harding
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Audra K. Johnson
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Ericka M. Johnson
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Tanya Kutyavin
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Bryan Lajoie
- Program in Gene Function, University of Massachusetts Medical School, Worcester, MA
| | - Bum-Kyu Lee
- Institute for Cellular and Molecular Biology, University of Texas, Austin, TX
| | - Kristen Lee
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Darin London
- Institute for Genome Sciences and Policy, Duke University, Durham, NC
| | - Dimitra Lotakis
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Shane Neph
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Fidencio Neri
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Eric D. Nguyen
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Alex P. Reynolds
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Vaughn Roach
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Alexias Safi
- Institute for Genome Sciences and Policy, Duke University, Durham, NC
| | - Minerva E. Sanchez
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Amartya Sanyal
- Program in Gene Function, University of Massachusetts Medical School, Worcester, MA
| | - Anthony Shafer
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Jeremy M. Simon
- Department of Biology, University of North Carolina, Chapel Hill, NC
| | - Lingyun Song
- Institute for Genome Sciences and Policy, Duke University, Durham, NC
| | - Shinny Vong
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Molly Weaver
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Zhancheng Zhang
- Department of Biology, University of North Carolina, Chapel Hill, NC
| | - Zhuzhu Zhang
- Department of Biology, University of North Carolina, Chapel Hill, NC
| | - Boris Lenhard
- Bergen Center for Computational Science, University of Bergen, Bergen, Norway
| | - Muneesh Tewari
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Michael O. Dorschner
- Dept. of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
| | - R. Scott Hansen
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Patrick A. Navas
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | | | - Vishwanath R. Iyer
- Institute for Cellular and Molecular Biology, University of Texas, Austin, TX
| | - Jason D. Lieb
- Department of Biology, University of North Carolina, Chapel Hill, NC
| | - Shamil R. Sunyaev
- Dept. of Medicine, Division of Genetics, Brigham & Women’s Hospital and Harvard Medical School, Boston, MA
| | - Joshua M. Akey
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Peter J. Sabo
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Rajinder Kaul
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
| | - Terrence S. Furey
- Department of Biology, University of North Carolina, Chapel Hill, NC
| | - Job Dekker
- Program in Gene Function, University of Massachusetts Medical School, Worcester, MA
| | | | - John A. Stamatoyannopoulos
- Department of Genome Sciences, University of Washington, Seattle, WA
- Department of Medicine, Division of Oncology, University of Washington, Seattle, WA
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25
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Neph S, Vierstra J, Stergachis AB, Reynolds AP, Haugen E, Vernot B, Thurman RE, Sandstrom R, Johnson AK, Maurano MT, Humbert R, Rynes E, Wang H, Vong S, Lee K, Bates D, Diegel M, Roach V, Dunn D, Neri J, Schafer A, Hansen RS, Kutyavin T, Giste E, Weaver M, Canfield T, Sabo P, Zhang M, Balasundaram G, Byron R, MacCoss MJ, Akey JM, Bender M, Groudine M, Kaul R, Stamatoyannopoulos JA. An expansive human regulatory lexicon encoded in transcription factor footprints. Nature 2012; 489:83-90. [PMID: 22955618 PMCID: PMC3736582 DOI: 10.1038/nature11212] [Citation(s) in RCA: 566] [Impact Index Per Article: 47.2] [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: 12/11/2011] [Accepted: 05/10/2012] [Indexed: 01/04/2023]
Abstract
Regulatory factor binding to genomic DNA protects the underlying sequence from cleavage by DNase I, leaving nucleotide-resolution footprints. Using genomic DNase I footprinting across 41 diverse cell and tissue types, we detected 45 million transcription factor occupancy events within regulatory regions, representing differential binding to 8.4 million distinct short sequence elements. Here we show that this small genomic sequence compartment, roughly twice the size of the exome, encodes an expansive repertoire of conserved recognition sequences for DNA-binding proteins that nearly doubles the size of the human cis-regulatory lexicon. We find that genetic variants affecting allelic chromatin states are concentrated in footprints, and that these elements are preferentially sheltered from DNA methylation. High-resolution DNase I cleavage patterns mirror nucleotide-level evolutionary conservation and track the crystallographic topography of protein-DNA interfaces, indicating that transcription factor structure has been evolutionarily imprinted on the human genome sequence. We identify a stereotyped 50-base-pair footprint that precisely defines the site of transcript origination within thousands of human promoters. Finally, we describe a large collection of novel regulatory factor recognition motifs that are highly conserved in both sequence and function, and exhibit cell-selective occupancy patterns that closely parallel major regulators of development, differentiation and pluripotency.
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Affiliation(s)
- Shane Neph
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Jeff Vierstra
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | | | - Alex P. Reynolds
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Eric Haugen
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Benjamin Vernot
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Robert E. Thurman
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Richard Sandstrom
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Audra K. Johnson
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Matthew T. Maurano
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Richard Humbert
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Eric Rynes
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Hao Wang
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Shinny Vong
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Kristen Lee
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Daniel Bates
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Morgan Diegel
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Vaughn Roach
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Douglas Dunn
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Jun Neri
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Anthony Schafer
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - R. Scott Hansen
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195
| | - Tanya Kutyavin
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Erika Giste
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Molly Weaver
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Theresa Canfield
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Peter Sabo
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Miaohua Zhang
- Basic Sciences Division, Fred Hutchison Cancer Research Center, Seattle, WA 98109
| | | | - Rachel Byron
- Basic Sciences Division, Fred Hutchison Cancer Research Center, Seattle, WA 98109
| | - Michael J. MacCoss
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Joshua M. Akey
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
| | - Michael Bender
- Basic Sciences Division, Fred Hutchison Cancer Research Center, Seattle, WA 98109
| | - Mark Groudine
- Basic Sciences Division, Fred Hutchison Cancer Research Center, Seattle, WA 98109
| | - Rajinder Kaul
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195
| | - John A. Stamatoyannopoulos
- Department of Genome Sciences, University of Washington, Seattle, WA 98195
- Division of Oncology, Deparment of Medicine, University of Washington, Seattle, WA 98195
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Garcia SM, Kolding J, Rice J, Rochet MJ, Zhou S, Arimoto T, Beyer JE, Borges L, Bundy A, Dunn D, Fulton EA, Hall M, Heino M, Law R, Makino M, Rijnsdorp AD, Simard F, Smith ADM. Reconsidering the Consequences of Selective Fisheries. Science 2012; 335:1045-7. [DOI: 10.1126/science.1214594] [Citation(s) in RCA: 321] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Affiliation(s)
- S. M. Garcia
- Commission on Ecosystem Management, International Union for Conservation of Nature (IUCN-CEM), Fisheries Expert Group, 1000 Brussels, Belgium
| | - J. Kolding
- Commission on Ecosystem Management, International Union for Conservation of Nature (IUCN-CEM), Fisheries Expert Group, 1000 Brussels, Belgium
- Department of Biology, University of Bergen, 5020 Bergen, Norway
| | - J. Rice
- Commission on Ecosystem Management, International Union for Conservation of Nature (IUCN-CEM), Fisheries Expert Group, 1000 Brussels, Belgium
- Fisheries and Oceans, Ottawa, Ontario K1A OE6, Canada
| | - M.-J. Rochet
- L'Institut Francais de Recherche pour l'Exploitation de la Mer (IFREMER), 44300 Nantes, France
| | - S. Zhou
- CSIRO Marine and Atmospheric Research, Brisbane, Queensland 4001, Australia
| | - T. Arimoto
- Tokyo University of Marine Science and Technology, Tokyo 108-8477, Japan
| | - J. E. Beyer
- Danish National Institute of Aquatic Resources (DTU Aqua), Charlottenlund Castle, 2920, Denmark
| | | | - A. Bundy
- Bedford Institute of Oceanography, Dartmouth, Nova Scotia B3B 1A5, Canada
| | - D. Dunn
- Duke University Marine Geospatial Ecology Lab, Beaufort, NC 28516, USA
| | - E. A. Fulton
- CSIRO Marine and Atmospheric Research, Hobart, Tasmania 7000, Australia
| | - M. Hall
- Inter-American Tropical Tuna Commission, La Jolla, CA 92037, USA
| | - M. Heino
- Department of Biology, University of Bergen, 5020 Bergen, Norway
- Institute of Marine Research, 5005 Bergen, Norway
- International Institute for Applied Systems Analysis, 2361 Laxenburg, Austria
| | - R. Law
- Biology Department, University of York, York YO10 5DD, UK
| | - M. Makino
- Commission on Ecosystem Management, International Union for Conservation of Nature (IUCN-CEM), Fisheries Expert Group, 1000 Brussels, Belgium
- Fisheries Research Agency, Yokohama, 220-6115, Japan
| | - A. D. Rijnsdorp
- Institute for Marine Resources and Ecosystem Studies (IMARES), 1976 IJmuiden, Netherlands
| | - F. Simard
- Global Marine Programme, IUCN, 1196 Gland, Switzerland
| | - A. D. M. Smith
- CSIRO Marine and Atmospheric Research, Hobart, Tasmania 7000, Australia
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Dolling D, Phillips AN, Delpech V, Pillay D, Cane PA, Crook AM, Shepherd J, Fearnhill E, Hill T, Dunn D. Evaluating the extent of potential resistance to pre-exposure prophylaxis within the UK HIV-1-infectious population of men who have sex with men. HIV Med 2011; 13:309-14. [PMID: 22151684 DOI: 10.1111/j.1468-1293.2011.00968.x] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/22/2011] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Recent studies have shown that pre-exposure prophylaxis (PrEP) can substantially reduce the chance of acquiring HIV infection. However, PrEP efficacy has been found to be compromised in macaque studies if the challenge virus is antiretroviral therapy (ART)-resistant. Our objective was to evaluate the likelihood that a UK man who has sex with men (MSM) would be exposed to PrEP-resistant HIV in a homosexual encounter with an HIV-infectious partner. METHODS Data from the UK Collaborative HIV Cohort (UK CHIC) study were linked to the UK HIV Drug Resistance Database for HIV-1-positive MSM patients seen between 2005 and 2008. Patients were categorized as undiagnosed; diagnosed but ART-naïve; ART-experienced and on treatment; and ART-experienced and on a treatment interruption. Considering current PrEP regimens, resistance to (a) tenofovir (TDF) alone, (b) TDF and emtricitabine (FTC), and (c) TDF or FTC was estimated. Patients without resistance tests had PrEP resistance imputed using bootstrapping and logistic regression models. RESULTS The population-level prevalence of PrEP resistance in HIV-infectious individuals in 2008 was estimated to be 1.6, 0.9 and 4.1% for PrEP resistance definitions a, b and c, respectively. Prevalence in ART-experienced patients was highest, with negligible circulating resistance amongst ART-naïve individuals. The levels of resistance declined over the period of study. CONCLUSIONS Our analysis indicates low levels of resistance to proposed PrEP drugs. The estimated PrEP resistance prevalence in UK HIV-infected MSM is towards the lower range of values used in simulation studies which have suggested that circulating PrEP drug resistance will have a negligible impact on PrEP efficacy at the population level.
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Affiliation(s)
- D Dolling
- HIV and Infections Group,MRC Clinical Trials Unit, London, UK.
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28
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Kober C, Johnson M, Fisher M, Hill T, Anderson J, Bansi L, Gompels M, Palfreeman A, Dunn D, Gazzard B, Gilson R, Post F, Phillips AN, Walsh J, Orkin C, Delpech V, Ainsworth J, Leen C, Sabin CA. Non-uptake of highly active antiretroviral therapy among patients with a CD4 count < 350 cells/μL in the UK. HIV Med 2011; 13:73-8. [PMID: 22106827 DOI: 10.1111/j.1468-1293.2011.00956.x] [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] [Accepted: 07/12/2011] [Indexed: 12/30/2022]
Abstract
OBJECTIVES Current British HIV Association (BHIVA) guidelines recommend that all patients with a CD4 count <350 cells/μL are offered highly active antiretroviral therapy (HAART). We identified risk factors for delayed initiation of HAART following a CD4 count <350 cells/μL. METHODS All adults under follow-up in 2008 who had a first confirmed CD4 count <350 cells/μL from 2004 to 2008, who had not initiated treatment and who had >6 months of follow-up were included in the study. Characteristics at the time of the low CD4 cell count and over follow-up were compared to identify factors associated with delayed HAART uptake. Analyses used proportional hazards regression with fixed (sex/risk group, age, ethnicity, AIDS, baseline CD4 cell count and calendar year) and time-updated (frequency of CD4 cell count measurement, proportion of CD4 counts <350 cells/μL, latest CD4 cell count, CD4 percentage and viral load) covariates. RESULTS Of 4871 patients with a confirmed low CD4 cell count, 436 (8.9%) remained untreated. In multivariable analyses, those starting HAART were older [adjusted relative hazard (aRH)/10 years 1.15], were more likely to be female heterosexual (aRH 1.13), were more likely to have had AIDS (aRH 1.14), had a greater number of CD4 measurements < 350 cells/μL (aRH/additional count 1.18), had a lower CD4 count over follow-up (aRH/50 cells/μL higher 0.57), had a lower CD4 percentage (aRH/5% higher 0.90) and had a higher viral load (aRH/log(10) HIV-1 RNA copies/ml higher 1.06). Injecting drug users (aRH 0.53), women infected with HIV via nonsexual or injecting drug use routes (aRH 0.75) and those of unknown ethnicity (aRH 0.69) were less likely to commence HAART. CONCLUSION A substantial minority of patients with a CD4 count < 350 cells/μL remain untreated despite its indication.
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Affiliation(s)
- C Kober
- Brighton and Sussex University Hospitals NHS Trust, Brighton, UK
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Dunn D, Vikas P, Jagasia M, Savani BN. Plerixafor in AL amyloidosis: improved graft composition and faster lymphocyte recovery after auto-SCT in patient with end-stage renal-disease. Bone Marrow Transplant 2011; 47:1136-7. [DOI: 10.1038/bmt.2011.226] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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30
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Wang Q, Thompson E, Parsons R, Rogers G, Dunn D. Economic feasibility of converting cow manure to electricity: A case study of the CVPS Cow Power program in Vermont. J Dairy Sci 2011; 94:4937-49. [DOI: 10.3168/jds.2010-4124] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2010] [Accepted: 05/04/2011] [Indexed: 11/19/2022]
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31
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Hughes RA, Sterne JAC, Walsh J, Bansi L, Gilson R, Orkin C, Hill T, Ainsworth J, Anderson J, Gompels M, Dunn D, Johnson MA, Phillips AN, Pillay D, Leen C, Easterbrook P, Gazzard B, Fisher M, Sabin CA. Long-term trends in CD4 cell counts and impact of viral failure in individuals starting antiretroviral therapy: UK Collaborative HIV Cohort (CHIC) study. HIV Med 2011; 12:583-93. [DOI: 10.1111/j.1468-1293.2011.00929.x] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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32
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Foster BL, Nagatomo KJ, Bamashmous SO, Tompkins KA, Fong H, Dunn D, Chu EY, Guenther C, Kingsley DM, Rutherford RB, Somerman MJ. The progressive ankylosis protein regulates cementum apposition and extracellular matrix composition. Cells Tissues Organs 2011; 194:382-405. [PMID: 21389671 DOI: 10.1159/000323457] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/12/2010] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND/AIMS Tooth root cementum is sensitive to modulation of inorganic pyrophosphate (PP(i)), an inhibitor of hydroxyapatite precipitation. Factors increasing PP(i) include progressive ankylosis protein (ANK) and ectonucleotide pyrophosphatase/phosphodiesterase 1 (NPP1) while tissue nonspecific alkaline phosphatase hydrolyzes PP(i). Studies here aimed to define the role of ANK in root and cementum by analyzing tooth development in Ank knock-out (KO) mice versus wild type. MATERIALS AND METHODS Periodontal development in KO versus control mice was analyzed by histology, histomorphometry, immunohistochemistry, in situ hybridization, electron microscopy, and nanoindentation. Cementoblast cultures were used in vitro to provide mechanistic underpinnings for PP(i) modulation of cell function. RESULTS Over the course of root development, Ank KO cervical cementum became 8- to 12-fold thicker than control cervical cementum. Periodontal ligament width was maintained and other dentoalveolar tissues, including apical cementum, were unaltered. Cervical cementum uncharacteristically included numerous cells, from rapid cementogenesis. Ank KO increased osteopontin and dentin matrix protein 1 gene and protein expression, and markedly increased NPP1 protein expression in cementoblasts but not in other cell types. Conditional ablation of Ank in joints and periodontia confirmed a local role for ANK in cementogenesis. In vitro studies employing cementoblasts indicated that Ank and Enpp1 mRNA levels increased in step with mineral nodule formation, supporting a role for these factors in regulation of cementum matrix mineralization. CONCLUSION ANK, by modulating local PP(i), controls cervical cementum apposition and extracellular matrix. Loss of ANK created a local environment conducive to rapid cementogenesis; therefore, approaches modulating PP(i) in periodontal tissues have potential to promote cementum regeneration.
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Affiliation(s)
- B L Foster
- Department of Periodontics, University of Washington School of Dentistry, Seattle, Wash. 98195, USA.
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Windt DL, Torre JD, Gilmer GH, Sapjeta J, Kalyanaraman R, Baumann FH, O'Sullivan PL, Dunn D, Hull R. Growth and Structure of Metallic Barrie Laye and Interconnect Films I: Exeriments. ACTA ACUST UNITED AC 2011. [DOI: 10.1557/proc-564-307] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
AbstractWe present experimental results directed at understanding the growth and structure of metallic barrier layer and interconnect films. Numerical simulation results associated with this experimental work are presented in an accompanying paper in these proceedings. Here, thin films of Al, Ti, Cu and Ta have been grown by magnetron sputtering onto oxidized Si substrates. Using a specially-constructed substrate holder, the orientation of the substrate with respect to the growth direction was varied from horizontal to vertical. Films were grown at both low and high argon pressure; in the case of Ta, the cathode power was varied as well. The film structure and in particular the surface roughness was measured by X-ray reflectance and also by atomic force microscopy. We find that the surface roughness increases markedly with orientation angle in the case of Ta and Cu films, and in Ti films grown at high argon pressure. At low pressure, however, the Ti film surface roughness remains constant for all substrate orientations. No variation in roughness with either orientation angle or argon pressure was observed in the Al films. These results suggest that, under certain circumstances, shadowing effects and/or grain orientation (i.e., texture) competition during growth can give rise to lower density, more porous (and thus more rough) films, particularly at large orientation angles, as on sidewalls in sub-micron trenches.
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Lodi S, Kücherer C, Kran AMB, Masquelier B, Monforte AD, Gill J, Dunn D, Pillay D, Porter K. Long-term probability of detecting drug-resistant HIV in patients starting antiretroviral therapy within the first year of HIV infection. J Int AIDS Soc 2010. [PMCID: PMC3112854 DOI: 10.1186/1758-2652-13-s4-o4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Mugyenyi P, Walker AS, Hakim J, Munderi P, Gibb DM, Kityo C, Reid A, Grosskurth H, Darbyshire JH, Ssali F, Bray D, Katabira E, Babiker AG, Gilks CF, Grosskurth H, Munderi P, Kabuye G, Nsibambi D, Kasirye R, Zalwango E, Nakazibwe M, Kikaire B, Nassuna G, Massa R, Fadhiru K, Namyalo M, Zalwango A, Generous L, Khauka P, Rutikarayo N, Nakahima W, Mugisha A, Todd J, Levin J, Muyingo S, Ruberantwari A, Kaleebu P, Yirrell D, Ndembi N, Lyagoba F, Hughes P, Aber M, Lara AM, Foster S, Amurwon J, Wakholi BN, Whitworth J, Wangati K, Amuron B, Kajungu D, Nakiyingi J, Omony W, Fadhiru K, Nsibambi D, Khauka P, Mugyenyi P, Kityo C, Ssali F, Tumukunde D, Otim T, Kabanda J, Musana H, Akao J, Kyomugisha H, Byamukama A, Sabiiti J, Komugyena J, Wavamunno P, Mukiibi S, Drasiku A, Byaruhanga R, Labeja O, Katundu P, Tugume S, Awio P, Namazzi A, Bakeinyaga GT, Katabira H, Abaine D, Tukamushaba J, Anywar W, Ojiambo W, Angweng E, Murungi S, Haguma W, Atwiine S, Kigozi J, Namale L, Mukose A, Mulindwa G, Atwiine D, Muhwezi A, Nimwesiga E, Barungi G, Takubwa J, Murungi S, Mwebesa D, Kagina G, Mulindwa M, Ahimbisibwe F, Mwesigwa P, Akuma S, Zawedde C, Nyiraguhirwa D, Tumusiime C, Bagaya L, Namara W, Kigozi J, Karungi J, Kankunda R, Enzama R, Latif A, Hakim J, Robertson V, Reid A, Chidziva E, Bulaya-Tembo R, Musoro G, Taziwa F, Chimbetete C, Chakonza L, Mawora A, Muvirimi C, Tinago G, Svovanapasis P, Simango M, Chirema O, Machingura J, Mutsai S, Phiri M, Bafana T, Chirara M, Muchabaiwa L, Muzambi M, Mutowo J, Chivhunga T, Chigwedere E, Pascoe M, Warambwa C, Zengeza E, Mapinge F, Makota S, Jamu A, Ngorima N, Chirairo H, Chitsungo S, Chimanzi J, Maweni C, Warara R, Matongo M, Mudzingwa S, Jangano M, Moyo K, Vere L, Mdege N, Machingura I, Katabira E, Ronald A, Kambungu A, Lutwama F, Mambule I, Nanfuka A, Walusimbi J, Nabankema E, Nalumenya R, Namuli T, Kulume R, Namata I, Nyachwo L, Florence A, Kusiima A, Lubwama E, Nairuba R, Oketta F, Buluma E, Waita R, Ojiambo H, Sadik F, Wanyama J, Nabongo P, Oyugi J, Sematala F, Muganzi A, Twijukye C, Byakwaga H, Ochai R, Muhweezi D, Coutinho A, Etukoit B, Gilks C, Boocock K, Puddephatt C, Grundy C, Bohannon J, Winogron D, Gibb DM, Burke A, Bray D, Babiker A, Walker AS, Wilkes H, Rauchenberger M, Sheehan S, Spencer-Drake C, Taylor K, Spyer M, Ferrier A, Naidoo B, Dunn D, Goodall R, Darbyshire JH, Peto L, Nanfuka R, Mufuka-Kapuya C, Kaleebu P, Pillay D, Robertson V, Yirrell D, Tugume S, Chirara M, Katundu P, Ndembi N, Lyagoba F, Dunn D, Goodall R, McCormick A, Lara AM, Foster S, Amurwon J, Wakholi BN, Kigozi J, Muchabaiwa L, Muzambi M, Weller I, Babiker A, Bahendeka S, Bassett M, Wapakhabulo AC, Darbyshire JH, Gazzard B, Gilks C, Grosskurth H, Hakim J, Latif A, Mapuchere C, Mugurungi O, Mugyenyi P, Burke C, Jones S, Newland C, Pearce G, Rahim S, Rooney J, Smith M, Snowden W, Steens JM, Breckenridge A, McLaren A, Hill C, Matenga J, Pozniak A, Serwadda D, Peto T, Palfreeman A, Borok M, Katabira E. Routine versus clinically driven laboratory monitoring of HIV antiretroviral therapy in Africa (DART): a randomised non-inferiority trial. Lancet 2010; 375:123-31. [PMID: 20004464 PMCID: PMC2805723 DOI: 10.1016/s0140-6736(09)62067-5] [Citation(s) in RCA: 220] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
BACKGROUND HIV antiretroviral therapy (ART) is often managed without routine laboratory monitoring in Africa; however, the effect of this approach is unknown. This trial investigated whether routine toxicity and efficacy monitoring of HIV-infected patients receiving ART had an important long-term effect on clinical outcomes in Africa. METHODS In this open, non-inferiority trial in three centres in Uganda and one in Zimbabwe, 3321 symptomatic, ART-naive, HIV-infected adults with CD4 counts less than 200 cells per microL starting ART were randomly assigned to laboratory and clinical monitoring (LCM; n=1659) or clinically driven monitoring (CDM; n=1662) by a computer-generated list. Haematology, biochemistry, and CD4-cell counts were done every 12 weeks. In the LCM group, results were available to clinicians; in the CDM group, results (apart from CD4-cell count) could be requested if clinically indicated and grade 4 toxicities were available. Participants switched to second-line ART after new or recurrent WHO stage 4 events in both groups, or CD4 count less than 100 cells per microL (LCM only). Co-primary endpoints were new WHO stage 4 HIV events or death, and serious adverse events. Non-inferiority was defined as the upper 95% confidence limit for the hazard ratio (HR) for new WHO stage 4 events or death being no greater than 1.18. Analyses were by intention to treat. This study is registered, number ISRCTN13968779. FINDINGS Two participants assigned to CDM and three to LCM were excluded from analyses. 5-year survival was 87% (95% CI 85-88) in the CDM group and 90% (88-91) in the LCM group, and 122 (7%) and 112 (7%) participants, respectively, were lost to follow-up over median 4.9 years' follow-up. 459 (28%) participants receiving CDM versus 356 (21%) LCM had a new WHO stage 4 event or died (6.94 [95% CI 6.33-7.60] vs 5.24 [4.72-5.81] per 100 person-years; absolute difference 1.70 per 100 person-years [0.87-2.54]; HR 1.31 [1.14-1.51]; p=0.0001). Differences in disease progression occurred from the third year on ART, whereas higher rates of switch to second-line treatment occurred in LCM from the second year. 283 (17%) participants receiving CDM versus 260 (16%) LCM had a new serious adverse event (HR 1.12 [0.94-1.32]; p=0.19), with anaemia the most common (76 vs 61 cases). INTERPRETATION ART can be delivered safely without routine laboratory monitoring for toxic effects, but differences in disease progression suggest a role for monitoring of CD4-cell count from the second year of ART to guide the switch to second-line treatment. FUNDING UK Medical Research Council, the UK Department for International Development, the Rockefeller Foundation, GlaxoSmithKline, Gilead Sciences, Boehringer-Ingelheim, and Abbott Laboratories.
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Hanley ME, Cruickshanks KL, Dunn D, Stewart-Jones A, Goulson D. Luring houseflies (Musca domestica) to traps: do cuticular hydrocarbons and visual cues increase catch? Med Vet Entomol 2009; 23:26-33. [PMID: 19067795 DOI: 10.1111/j.1365-2915.2008.00750.x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Houseflies (Musca domestica L.) are a major pest species of livestock units and landfill sites. Insecticide resistance has resulted in an increased emphasis on lure-and-kill control methods, but the success of this approach relies on the effective attraction of houseflies with olfactory or visual stimuli. This study examined the efficacy of olfactory (cuticular hydrocarbons) or visual (colours and groups of flies) attractants in a commercial poultry unit. Despite simulating the cuticular hydrocarbon profiles of male and female houseflies, we found no significant increase in the number of individuals lured to traps and no sex-specific responses were evident. The use of target colours selected to match the three peaks in housefly visual spectral sensitivity yielded no significant increase in the catch rate of traps to which they were applied. This study also demonstrated that male and female flies possess significantly different spectral reflectance (males are brighter at 320-470 nm; females are brighter at 470-670 nm). An experiment incorporating groups of recently killed flies from which cuticular hydrocarbons were either removed by solvent or left intact also failed to show any evidence of olfactory or visual attraction for houseflies of either sex. This study concluded that variations of the most commonly applied methods of luring houseflies to traps in commercial livestock units fail to significantly increase capture rates. These results support commonly observed inconsistencies associated with using olfactory or visual stimuli in lure-and-kill systems, possibly because field conditions lessen the attractant properties observed in laboratory experiments.
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Affiliation(s)
- M E Hanley
- School of Biological Sciences, University of Southampton, Southampton, UK.
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Vyas P, Higgs DR, Weatherall DJ, Dunn D, Serjeant BE, Serjeant GR. The interaction of alpha thalassaemia and sickle cell-beta° thalassaemia. Br J Haematol 2008. [DOI: 10.1111/j.1365-2141.1988.00449.x] [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: 11/26/2022]
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Prahalad S, Bohnsack JF, Jorde LB, Whiting A, Clifford B, Dunn D, Weiss R, Moroldo M, Thompson SD, Glass DN, Bamshad MJ. Association of two functional polymorphisms in the CCR5 gene with juvenile rheumatoid arthritis. Genes Immun 2006; 7:468-75. [PMID: 16775617 PMCID: PMC2927816 DOI: 10.1038/sj.gene.6364317] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.4] [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: 11/09/2022]
Abstract
Juvenile rheumatoid arthritis (JRA) is mediated by Th1-immune responses. In children with JRA, synovial T cells express high levels of the Th1-chemokine receptor CC chemokine receptor 5 (CCR5), which has been implicated in susceptibility to rheumatoid arthritis. To test the hypothesis that genetic variation in CCR5 is associated with susceptibility to JRA, we analyzed patterns of variation in the 5'cis-regulatory region of CCR5 in 124 multiplex families from a JRA-affected sibpair registry. After sequencing the upstream region of CCR5, variants were tested for association with JRA by transmission disequilibrium testing. A single nucleotide polymorphism, C-1835T, was significantly undertransmitted to children with early-onset JRA (P<0.01). C-1835T was genotyped in 424 additional simplex and multiplex families. CCR5-1835T allele was undertransmitted in the cohort of all probands with JRA (P<0.02), as well as in those with early-onset (P<0.01) or pauciarticular JRA (P<0.05). Another variant, a 32-bp deletion in the open reading frame of CCR5 (CCR5-Delta32) was also tested in approximately 700 simplex and multiplex families. CCR5-Delta32 was also significantly undertransmitted to probands with early-onset JRA (P<0.05). Both variants are in regions under natural selection, and result in functional consequences. Our results suggest these CCR5 variants are protective against early-onset JRA.
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Affiliation(s)
- S Prahalad
- Division of Immunology and Rheumatology, Department of Pediatrics, University of Utah, Salt Lake City, UT 84132-2206, USA.
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Knox A, Dunn D, Paller M, Nelson E, Specht W, Seaman J. Assessment of Contaminant Retention in Constructed Wetland Sediments. Eng Life Sci 2006. [DOI: 10.1002/elsc.200620116] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
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Collins G, Johnson E, Kroshus T, Ganz R, Batts K, Seng J, Nwaneri O, Dunn D. Experience with minimally invasive esophagectomy. Surg Endosc 2005; 20:298-301. [PMID: 16362469 DOI: 10.1007/s00464-005-0093-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2005] [Accepted: 07/29/2005] [Indexed: 01/24/2023]
Abstract
BACKGROUND Minimally invasive esophagectomy (MIE) is an evolving surgical alternative to traditional open esophagectomy. Despite considerable technical challenges, it was hypothesized that MIE could be performed effectively by surgeons experienced in open esophageal resection and advanced laparoscopic surgery. The authors report their experience with 25 patients who underwent MIE for esophageal disease. METHODS A multidisciplinary esophageal cancer team evaluated all the patients enrolled in this institutional review board-approved retrospective review study. Over an 18-month period, 25 consecutive patients (22 men and 3 women; mean age, 62 years; range, 48-77 years) with resectable esophageal cancer underwent MIE. Six patients were treated with neoadjuvant chemoradiotherapy. The preoperative diagnoses were adenocarcinoma (64%, n = 16), high-grade dysplasia (20%, n = 5), and squamous cell cancer (16%, n = 4). The outcomes evaluated included operative course, hospital and intensive care unit lengths of stay, pathologic stage, morbidity, and mortality. RESULTS Two patients required conversion to open esophagectomy. Operative mortality was 4% (n = 1). The mean operative time was 350 min (range, 300-480), and the average blood loss was 200 ml. The patients remained ventilated for a median of 12 h, and the median intensive care unit utilization was 1 day. The median hospital length of stay was 9 days (range, 6-33 days). Major complications occurred in 32% of the patients. The anastomotic leak rate was 12%. Minor pulmonary complications occurred in 32% and atrial fibrillation in 16% of the patients. An anastomotic stricture developed in 24% of all the patients. One patient showed a positive proximal margin in the final pathology results. CONCLUSIONS Minimally invasive esophagectomy is a technically challenging procedure that can be performed safely at the Virginia Piper Cancer Institute. Optimal results require appropriate patient selection and a multidisciplinary team experienced in the management of esophageal cancer.
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Affiliation(s)
- G Collins
- Department of Surgery, Virginia Piper Cancer Institute, Abbott Northwestern Hospital, 800 East 28th Street, Minneapolis, MN 55047, USA
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Newell M, Dunn D, Peckham C, Ades A, Pardi G, Semprini A, Giaquinto C, Truscia D, De Rossi A, Chieco-Bianchi L, Zachello F, Grosch-Worner I, Vocks-Hauck M, Langhof M, Mok J, Omenaca Teres F, Bates I, Garcia-Rodrigues M, Canosa C. Risk factors for mother-to-child transmission of HIV-1. Int J Gynaecol Obstet 2004. [DOI: 10.1016/0020-7292(92)90272-k] [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: 11/26/2022]
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Santin AD, Bellone S, Parrish RS, Coke C, Dunn D, Roman J, Theus JW, Cannon MJ, Parham GP, Pecorelli S. Influence of allogeneic blood transfusion on clinical outcome during radiotherapy for cancer of the uterine cervix. Gynecol Obstet Invest 2003; 56:28-34. [PMID: 12867765 DOI: 10.1159/000072328] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2002] [Accepted: 05/26/2003] [Indexed: 11/19/2022]
Abstract
Anemia has long been reported to adversely affect the efficacy of radiation treatment in cervical cancer. On the basis of these findings, many radiation oncologists routinely use blood transfusions with the intent to maintain hemoglobin above specified levels during radiation therapy. However, allogeneic blood transfusions have been previously linked with biological and clinical phenomena correlated with immune suppression. In this study we have analyzed the effects of blood transfusion on the outcome of 130 patients with stage-IIB and -III cervical carcinomas treated with external radiation and intracavitary brachytherapy with or without concomitant platinum administration at the University of Arkansas for Medical Sciences between 1990 and 1999. With the exception of hemoglobin and hematocrit levels at the onset of treatment between the transfused and untransfused groups (p < 0.001), the distribution of age, histology, total radiation dose and duration of treatment were not significantly different between the 2 groups of stage-IIB and -III patients. Among the 45 stage-IIB patients who received blood during radiation treatment, there were 31 deaths (68.8%), compared with 14 (31.8%) among the 44 patients who did not receive blood (p > 0.05). Among the 30 stage-III patients who received blood during radiation treatment, there were 27 deaths (90%), compared with 6 (54%) among the 11 patients who did not receive blood (p > 0.11). In multivariate analysis of survival, there was a significant difference due to transfusion with a risk ratio (RR) of 2.6 (95% CI 1.6, 4.2; p < 0.001) after adjusting for no chemotherapy (RR = 2.2, 95% CI 1.4, 3.5; p < 0.001), considering all patients collectively, stage-IIB patients only (RR = 1.9, 95% CI 1.1, 3.3; p < 0.01), and stage-III patients only (RR = 3.2, 95% CI 1.2, 8.7; p < 0.02). These results suggest that routine blood transfusion of anemic cervical cancer patients does not improve outcome and may represent an independent variable predictive of diminished survival during primary radiation treatment for cervical cancer. Prospective randomized studies are strongly warranted to confirm this hypothesis.
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Affiliation(s)
- A D Santin
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Arkansas for Medical Sciences, 4301 West Markham, Little Rock, AR 72205-7199, USA
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Abstract
STUDY DESIGN The case of an 11-year-old patient with an aneurysmal bone cyst at C7, cervical spondyloptosis, and scoliosis of the lumbar spine is reported. OBJECTIVE To describe an unusual presentation of aneurysmal bone cyst causing painless cervical spondyloptosis. SUMMARY OF BACKGROUND DATA Aneurysmal bone cysts of the cervical spine are rare. There has never been a reported case of cervical dislocation by an aneurysmal bone cyst. This case highlights the potentially devastating effects that can be caused by benign tumors in the vertebral column. METHODS The history, clinical examination, imaging findings, and treatment are reviewed. RESULTS The patient was treated with a single-stage combined posteroanteroposterior operation to resect the tumor, reduce the cervicothoracic dislocation, and create a three-column stabilization of the spine. The results were satisfactory, with an improvement in neurology. CONCLUSIONS Aneurysmal bone cysts should be considered in the etiology of complicated scoliosis. Patients with a benign clinical history should be investigated at an early stage using appropriate imaging. Surgery is the treatment of choice when stability of the spine is compromised and neurologic signs are present.
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Affiliation(s)
- N Garneti
- Frenchay Hospital, Bristol, United Kingdom.
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Maciejewski JP, Rivera C, Kook H, Dunn D, Young NS. Relationship between bone marrow failure syndromes and the presence of glycophosphatidyl inositol-anchored protein-deficient clones. Br J Haematol 2001; 115:1015-22. [PMID: 11843844 DOI: 10.1046/j.1365-2141.2001.03191.x] [Citation(s) in RCA: 101] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Because of the insensitivity of the Ham test, paroxysmal nocturnal haemoglobinuria (PNH) has been inaccurately viewed as a late clonal complication of aplastic anaemia (AA). To clarify the relationship between PNH and marrow failure, we tested for the presence of glycosylphosphatidyl-anchored protein-deficient (GPI-AP) granulocytes in large cohorts of patients with AA, myelodysplasia (MDS), and pure haemolytic PNH. A PNH clone was detected in 32% of new AA patients and 18% of MDS patients. In serial studies, this proportion did not change up to 15 years after diagnosis, suggesting that expansion of aberrant cells is an early event (i.e. prior to initial presentation). For all patients with a PNH clone, on average 14% of PNH granulocytes were found on presentation and 37% at 10 years. Patients with PNH but without cytopenia showed higher percentages of GPI-AP-deficient cells than did those with the AA/PNH syndrome. After immunosuppression, there was no change in the contribution of PNH clone to blood production, arguing against the "immune-escape" theory in PNH. Clinically, a high proportion of GPI-AP-deficient cells correlated with marrow hypercellularity. GPI-AP-deficient cells were similarly present in patients with and without karyotypic abnormalities. Our results indicate that the GPI-AP-deficient clones show quantitative and kinetic differences between classic haemolytic PNH and PNH with marrow failure, in which the evolution rate is low later in the course of the disease.
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Affiliation(s)
- J P Maciejewski
- Hematology Branch, National Heart Lung and Blood Institute, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
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Dunn D. The broader applications of uHTS. Drug Discov Today 2001; 6:828. [PMID: 11495753 DOI: 10.1016/s1359-6446(01)01935-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- D Dunn
- Pharmacopeia, 08543, Princeton, NJ, USA
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Gilbert R, Dunn D, Wallon M, Hayde M, Prusa A, Lebech M, Kortbeek T, Peyron F, Pollak A, Petersen E. Ecological comparison of the risks of mother-to-child transmission and clinical manifestations of congenital toxoplasmosis according to prenatal treatment protocol. Epidemiol Infect 2001; 127:113-20. [PMID: 11561963 PMCID: PMC2869717 DOI: 10.1017/s095026880100560x] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
We compared the relative risks of mother-to-child transmission of Toxoplasma gondii and clinical manifestations due to congenital toxoplasmosis associated with intensive prenatal treatment in Lyon and Austria, short term treatment in 51% of Dutch women, and no treatment in Danish women. For each cohort, relative risks were standardized for gestation at seroconversion. In total, 856 mother-child pairs were studied: 549 in Lyon, 133 in Austria, 123 in Denmark and 51 in The Netherlands. The relative risk for mother-to-child transmission compared to Lyon was 1.24 (95% CI: 0.88, 1.59) in Austria; 0.59 (0.41, 0.81) in Denmark; and 0.65 (0.37, 1.01) in The Netherlands. Relative risks for clinical manifestations compared with Lyon (adjusted for follow-up to age 3 years) were: Austria 0.19 (0.04, 0.51); Denmark 0.60 (0.13, 1.08); and The Netherlands 1.46 (0.51, 2.72). There was no clear evidence that the risk of transmission or of clinical manifestations was lowest in centres with the most intensive prenatal treatment.
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Affiliation(s)
- R Gilbert
- Department of Epidemiology and Public Health, Institute of Child Health, London, UK
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Diruggiero J, Dunn D, Maeder DL, Holley-Shanks R, Chatard J, Horlacher R, Robb FT, Boos W, Weiss RB. Evidence of recent lateral gene transfer among hyperthermophilic archaea. Mol Microbiol 2000; 38:684-93. [PMID: 11115105 DOI: 10.1046/j.1365-2958.2000.02161.x] [Citation(s) in RCA: 85] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
A total of 153 nucleotide differences were found over a contiguous 16 kb region between two hyperthermophilic Archaea, Pyrococcus furiosus and Thermococcus litoralis. The 16 kb region in P. furiosus is flanked by insertion sequence (IS) elements with inverted and direct repeats. Both IS elements contain a single open reading frame (ORF) encoding a putative protein of 233 amino acids identified as a transposase. This 16 kb region has the features of a typical bacterial composite transposon and represents a possible mechanism for lateral gene transfer between Archaea or possibly between Archaea and Bacteria. A total of 23 homologous IS elements was found in the genome sequence of P. furiosus, whereas no full-length IS elements were identified in the genomes of Pyrococcus abyssi and Pyrococcus horikoshii. Only one IS element was found in T. litoralis. In P. furiosus and T. litoralis, the 16 kb region contains an ABC transport system for maltose and trehalose that was characterized biochemically for T. litoralis. Regulation of expression studies showed that the malE gene, located on the transposon, and the encoded trehalose/maltose-binding protein (TMBP) are induced in the presence of maltose and trehalose in both P. furiosus and T. litoralis. The implications of transposition as a mechanism for lateral gene transfer among Archaea are discussed.
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Affiliation(s)
- J Diruggiero
- Center of Marine Biotechnology, University of Maryland Biotechnology Institute, 701 East Pratt Street, Baltimore, MD 21202, USA.
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Dunn D. Chronic regional pain syndrome, type 1: Part I. AORN J 2000; 72:422-32, 435-49; quiz 452-8. [PMID: 11004961] [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: 02/17/2023]
Abstract
Chronic regional pain syndrome refers to a class of disorders thought to involve common neuropathic and clinical features. These disorders usually are caused by injury, and they manifest in pain and sensory changes that are disproportionate in intensity, distribution, and duration to the underlying pathology. The result of these injuries is significant impairment of motor function over time. This article is divided into two parts. Part I discusses background information such as pain, pathophysiology, diagnosis, clinical stages, and the most common treatment modality, sympathetic nerve blocks. Part II, discusses alternate treatment modalities, such as sympathectomy, physical therapy, stimulators, trigger point injections, acupuncture, tourniquet effects, placebo effects, and amputation.
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Affiliation(s)
- D Dunn
- Wayne General Hospital, NJ, USA
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