1
|
Nguyen H, Raju S, Ahmed N, Rush D, Dubina M, Alvarez H, Lucas AS, Tang Z, Barkoh B, Dang H, Ozenci J, Puthooran S, Hu P, Kalia A, Bowman C, Rajyalakshmi L, Kanagal-Shamanna R. 3. Homologous Recombination DNA Repair Deficiency in Hematological Malignancies. Cancer Genet 2022. [DOI: 10.1016/j.cancergen.2022.10.006] [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]
|
2
|
Wymant C, Bezemer D, Blanquart F, Ferretti L, Gall A, Hall M, Golubchik T, Bakker M, Ong SH, Zhao L, Bonsall D, de Cesare M, MacIntyre-Cockett G, Abeler-Dörner L, Albert J, Bannert N, Fellay J, Grabowski MK, Gunsenheimer-Bartmeyer B, Günthard HF, Kivelä P, Kouyos RD, Laeyendecker O, Meyer L, Porter K, Ristola M, van Sighem A, Berkhout B, Kellam P, Cornelissen M, Reiss P, Fraser C, Aubert V, Battegay M, Bernasconi E, Böni J, Braun DL, Bucher HC, Burton-Jeangros C, Calmy A, Cavassini M, Dollenmaier G, Egger M, Elzi L, Fehr J, Fellay J, Furrer H, Fux CA, Gorgievski M, Günthard H, Haerry D, Hasse B, Hirsch HH, Hoffmann M, Hösli I, Kahlert C, Kaiser L, Keiser O, Klimkait T, Kouyos R, Kovari H, Ledergerber B, Martinetti G, de Tejada BM, Marzolini C, Metzner K, Müller N, Nadal D, Nicca D, Pantaleo G, Rauch A, Regenass S, Rudin C, Schöni-Affolter F, Schmid P, Speck R, Stöckle M, Tarr P, Trkola A, Vernazza P, Weber R, Yerly S, van der Valk M, Geerlings SE, Goorhuis A, Hovius JW, Lempkes B, Nellen FJB, van der Poll T, Prins JM, Reiss P, van Vugt M, Wiersinga WJ, Wit FWMN, van Duinen M, van Eden J, Hazenberg A, van Hes AMH, Rajamanoharan S, Robinson T, Taylor B, Brewer C, Mayr C, Schmidt W, Speidel A, Strohbach F, Arastéh K, Cordes C, Pijnappel FJJ, Stündel M, Claus J, Baumgarten A, Carganico A, Ingiliz P, Dupke S, Freiwald M, Rausch M, Moll A, Schleehauf D, Smalhout SY, Hintsche B, Klausen G, Jessen H, Jessen A, Köppe S, Kreckel P, Schranz D, Fischer K, Schulbin H, Speer M, Weijsenfeld AM, Glaunsinger T, Wicke T, Bieniek B, Hillenbrand H, Schlote F, Lauenroth-Mai E, Schuler C, Schürmann D, Wesselmann H, Brockmeyer N, Jurriaans S, Gehring P, Schmalöer D, Hower M, Spornraft-Ragaller P, Häussinger D, Reuter S, Esser S, Markus R, Kreft B, Berzow D, Back NKT, Christl A, Meyer A, Plettenberg A, Stoehr A, Graefe K, Lorenzen T, Adam A, Schewe K, Weitner L, Fenske S, Zaaijer HL, Hansen S, Stellbrink HJ, Wiemer D, Hertling S, Schmidt R, Arbter P, Claus B, Galle P, Jäger H, Jä Gel-Guedes E, Berkhout B, Postel N, Fröschl M, Spinner C, Bogner J, Salzberger B, Schölmerich J, Audebert F, Marquardt T, Schaffert A, Schnaitmann E, Cornelissen MTE, Trein A, Frietsch B, Müller M, Ulmer A, Detering-Hübner B, Kern P, Schubert F, Dehn G, Schreiber M, Güler C, Schinkel CJ, Gunsenheimer-Bartmeyer B, Schmidt D, Meixenberger K, Bannert N, Wolthers KC, Peters EJG, van Agtmael MA, Autar RS, Bomers M, Sigaloff KCE, Heitmuller M, Laan LM, Ang CW, van Houdt R, Jonges M, Kuijpers TW, Pajkrt D, Scherpbier HJ, de Boer C, van der Plas A, van den Berge M, Stegeman A, Baas S, Hage de Looff L, Buiting A, Reuwer A, Veenemans J, Wintermans B, Pronk MJH, Ammerlaan HSM, van den Bersselaar DNJ, de Munnik ES, Deiman B, Jansz AR, Scharnhorst V, Tjhie J, Wegdam MCA, van Eeden A, Nellen J, Brokking W, Elsenburg LJM, Nobel H, van Kasteren MEE, Berrevoets MAH, Brouwer AE, Adams A, van Erve R, de Kruijf-van de Wiel BAFM, Keelan-Phaf S, van de Ven B, van der Ven B, Buiting AGM, Murck JL, de Vries-Sluijs TEMS, Bax HI, van Gorp ECM, de Jong-Peltenburg NC, de Mendonç A Melo M, van Nood E, Nouwen JL, Rijnders BJA, Rokx C, Schurink CAM, Slobbe L, Verbon A, Bassant N, van Beek JEA, Vriesde M, van Zonneveld LM, de Groot J, Boucher CAB, Koopmans MPG, van Kampen JJA, Fraaij PLA, van Rossum AMC, Vermont CL, van der Knaap LC, Visser E, Branger J, Douma RA, Cents-Bosma AS, Duijf-van de Ven CJHM, Schippers EF, van Nieuwkoop C, van Ijperen JM, Geilings J, van der Hut G, van Burgel ND, Leyten EMS, Gelinck LBS, Mollema F, Davids-Veldhuis S, Tearno C, Wildenbeest GS, Heikens E, Groeneveld PHP, Bouwhuis JW, Lammers AJJ, Kraan S, van Hulzen AGW, Kruiper MSM, van der Bliek GL, Bor PCJ, Debast SB, Wagenvoort GHJ, Kroon FP, de Boer MGJ, Jolink H, Lambregts MMC, Roukens AHE, Scheper H, Dorama W, van Holten N, Claas ECJ, Wessels E, den Hollander JG, El Moussaoui R, Pogany K, Brouwer CJ, Smit JV, Struik-Kalkman D, van Niekerk T, Pontesilli O, Lowe SH, Oude Lashof AML, Posthouwer D, van Wolfswinkel ME, Ackens RP, Burgers K, Schippers J, Weijenberg-Maes B, van Loo IHM, Havenith TRA, van Vonderen MGA, Kampschreur LM, Faber S, Steeman-Bouma R, Al Moujahid A, Kootstra GJ, Delsing CE, van der Burg-van de Plas M, Scheiberlich L, Kortmann W, van Twillert G, Renckens R, Ruiter-Pronk D, van Truijen-Oud FA, Cohen Stuart JWT, Jansen ER, Hoogewerf M, Rozemeijer W, van der Reijden WA, Sinnige JC, Brinkman K, van den Berk GEL, Blok WL, Lettinga KD, de Regt M, Schouten WEM, Stalenhoef JE, Veenstra J, Vrouenraets SME, Blaauw H, Geerders GF, Kleene MJ, Kok M, Knapen M, van der Meché IB, Mulder-Seeleman E, Toonen AJM, Wijnands S, Wttewaal E, Kwa D, van Crevel R, van Aerde K, Dofferhoff ASM, Henriet SSV, Ter Hofstede HJM, Hoogerwerf J, Keuter M, Richel O, Albers M, Grintjes-Huisman KJT, de Haan M, Marneef M, Strik-Albers R, Rahamat-Langendoen J, Stelma FF, Burger D, Gisolf EH, Hassing RJ, Claassen M, Ter Beest G, van Bentum PHM, Langebeek N, Tiemessen R, Swanink CMA, van Lelyveld SFL, Soetekouw R, van der Prijt LMM, van der Swaluw J, Bermon N, van der Reijden WA, Jansen R, Herpers BL, Veenendaal D, Verhagen DWM, Lauw FN, van Broekhuizen MC, van Wijk M, Bierman WFW, Bakker M, Kleinnijenhuis J, Kloeze E, Middel A, Postma DF, Schölvinck EH, Stienstra Y, Verhage AR, Wouthuyzen-Bakker M, Boonstra A, de Groot-de Jonge H, van der Meulen PA, de Weerd DA, Niesters HGM, van Leer-Buter CC, Knoester M, Hoepelman AIM, Arends JE, Barth RE, Bruns AHW, Ellerbroek PM, Mudrikova T, Oosterheert JJ, Schadd EM, van Welzen BJ, Aarsman K, Griffioen-van Santen BMG, de Kroon I, van Berkel M, van Rooijen CSAM, Schuurman R, Verduyn-Lunel F, Wensing AMJ, Bont LJ, Geelen SPM, Loeffen YGT, Wolfs TFW, Nauta N, Rooijakkers EOW, Holtsema H, Voigt R, van de Wetering D, Alberto A, van der Meer I, Rosingh A, Halaby T, Zaheri S, Boyd AC, Bezemer DO, van Sighem AI, Smit C, Hillebregt M, de Jong A, Woudstra T, Bergsma D, Meijering R, van de Sande L, Rutkens T, van der Vliet S, de Groot L, van den Akker M, Bakker Y, El Berkaoui A, Bezemer M, Brétin N, Djoechro E, Groters M, Kruijne E, Lelivelt KJ, Lodewijk C, Lucas E, Munjishvili L, Paling F, Peeck B, Ree C, Regtop R, Ruijs Y, Schoorl M, Schnörr P, Scheigrond A, Tuijn E, Veenenberg L, Visser KM, Witte EC, Ruijs Y, Van Frankenhuijsen M, Allegre T, Makhloufi D, Livrozet JM, Chiarello P, Godinot M, Brunel-Dalmas F, Gibert S, Trepo C, Peyramond D, Miailhes P, Koffi J, Thoirain V, Brochier C, Baudry T, Pailhes S, Lafeuillade A, Philip G, Hittinger G, Assi A, Lambry V, Rosenthal E, Naqvi A, Dunais B, Cua E, Pradier C, Durant J, Joulie A, Quinsat D, Tempesta S, Ravaux I, Martin IP, Faucher O, Cloarec N, Champagne H, Pichancourt G, Morlat P, Pistone T, Bonnet F, Mercie P, Faure I, Hessamfar M, Malvy D, Lacoste D, Pertusa MC, Vandenhende MA, Bernard N, Paccalin F, Martell C, Roger-Schmelz J, Receveur MC, Duffau P, Dondia D, Ribeiro E, Caltado S, Neau D, Dupont M, Dutronc H, Dauchy F, Cazanave C, Vareil MO, Wirth G, Le Puil S, Pellegrin JL, Raymond I, Viallard JF, Chaigne de Lalande S, Garipuy D, Delobel P, Obadia M, Cuzin L, Alvarez M, Biezunski N, Porte L, Massip P, Debard A, Balsarin F, Lagarrigue M, Prevoteau du Clary F, Aquilina C, Reynes J, Baillat V, Merle C, Lemoing V, Atoui N, Makinson A, Jacquet JM, Psomas C, Tramoni C, Aumaitre H, Saada M, Medus M, Malet M, Eden A, Neuville S, Ferreyra M, Sotto A, Barbuat C, Rouanet I, Leureillard D, Mauboussin JM, Lechiche C, Donsesco R, Cabie A, Abel S, Pierre-Francois S, Batala AS, Cerland C, Rangom C, Theresine N, Hoen B, Lamaury I, Fabre I, Schepers K, Curlier E, Ouissa R, Gaud C, Ricaud C, Rodet R, Wartel G, Sautron C, Beck-Wirth G, Michel C, Beck C, Halna JM, Kowalczyk J, Benomar M, Drobacheff-Thiebaut C, Chirouze C, Faucher JF, Parcelier F, Foltzer A, Haffner-Mauvais C, Hustache Mathieu M, Proust A, Piroth L, Chavanet P, Duong M, Buisson M, Waldner A, Mahy S, Gohier S, Croisier D, May T, Delestan M, Andre M, Zadeh MM, Martinot M, Rosolen B, Pachart A, Martha B, Jeunet N, Rey D, Cheneau C, Partisani M, Priester M, Bernard-Henry C, Batard ML, Fischer P, Berger JL, Kmiec I, Robineau O, Huleux T, Ajana F, Alcaraz I, Allienne C, Baclet V, Meybeck A, Valette M, Viget N, Aissi E, Biekre R, Cornavin P, Merrien D, Seghezzi JC, Machado M, Diab G, Raffi F, Bonnet B, Allavena C, Grossi O, Reliquet V, Billaud E, Brunet C, Bouchez S, Morineau-Le Houssine P, Sauser F, Boutoille D, Besnier M, Hue H, Hall N, Brosseau D, Souala F, Michelet C, Tattevin P, Arvieux C, Revest M, Leroy H, Chapplain JM, Dupont M, Fily F, Patra-Delo S, Lefeuvre C, Bernard L, Bastides F, Nau P, Verdon R, de la Blanchardiere A, Martin A, Feret P, Geffray L, Daniel C, Rohan J, Fialaire P, Chennebault JM, Rabier V, Abgueguen P, Rehaiem S, Luycx O, Niault M, Moreau P, Poinsignon Y, Goussef M, Mouton-Rioux V, Houlbert D, Alvarez-Huve S, Barbe F, Haret S, Perre P, Leantez-Nainville S, Esnault JL, Guimard T, Suaud I, Girard JJ, Simonet V, Debab Y, Schmit JL, Jacomet C, Weinberck P, Genet C, Pinet P, Ducroix S, Durox H, Denes É, Abraham B, Gourdon F, Antoniotti O, Molina JM, Ferret S, Lascoux-Combe C, Lafaurie M, Colin de Verdiere N, Ponscarme D, De Castro N, Aslan A, Rozenbaum W, Pintado C, Clavel F, Taulera O, Gatey C, Munier AL, Gazaigne S, Penot P, Conort G, Lerolle N, Leplatois A, Balausine S, Delgado J, Timsit J, Tabet M, Gerard L, Girard PM, Picard O, Tredup J, Bollens D, Valin N, Campa P, Bottero J, Lefebvre B, Tourneur M, Fonquernie L, Wemmert C, Lagneau JL, Yazdanpanah Y, Phung B, Pinto A, Vallois D, Cabras O, Louni F, Pialoux G, Lyavanc T, Berrebi V, Chas J, Lenagat S, Rami A, Diemer M, Parrinello M, Depond A, Salmon D, Guillevin L, Tahi T, Belarbi L, Loulergue P, Zak Dit Zbar O, Launay O, Silbermann B, Leport C, Alagna L, Pietri MP, Simon A, Bonmarchand M, Amirat N, Pichon F, Kirstetter M, Katlama C, Valantin MA, Tubiana R, Caby F, Schneider L, Ktorza N, Calin R, Merlet A, Ben Abdallah S, Weiss L, Buisson M, Batisse D, Karmochine M, Pavie J, Minozzi C, Jayle D, Castel P, Derouineau J, Kousignan P, Eliazevitch M, Pierre I, Collias L, Viard JP, Gilquin J, Sobel A, Slama L, Ghosn J, Hadacek B, Thu-Huyn N, Nait-Ighil L, Cros A, Maignan A, Duvivier C, Consigny PH, Lanternier F, Shoai-Tehrani M, Touam F, Jerbi S, Bodard L, Jung C, Goujard C, Quertainmont Y, Duracinsky M, Segeral O, Blanc A, Peretti D, Cheret A, Chantalat C, Dulucq MJ, Levy Y, Lelievre JD, Lascaux AS, Dumont C, Boue F, Chambrin V, Abgrall S, Kansau I, Raho-Moussa M, De Truchis P, Dinh A, Davido B, Marigot D, Berthe H, Devidas A, Chevojon P, Chabrol A, Agher N, Lemercier Y, Chaix F, Turpault I, Bouchaud O, Honore P, Rouveix E, Reimann E, Belan AG, Godin Collet C, Souak S, Mortier E, Bloch M, Simonpoli AM, Manceron V, Cahitte I, Hiraux E, Lafon E, Cordonnier F, Zeng AF, Zucman D, Majerholc C, Bornarel D, Uludag A, Gellen-Dautremer J, Lefort A, Bazin C, Daneluzzi V, Gerbe J, Jeantils V, Coupard M, Patey O, Bantsimba J, Delllion S, Paz PC, Cazenave B, Richier L, Garrait V, Delacroix I, Elharrar B, Vittecoq D, Bolliot C, Lepretre A, Genet P, Masse V, Perrone V, Boussard JL, Chardon P, Froguel E, Simon P, Tassi S, Avettand Fenoel V, Barin F, Bourgeois C, Cardon F, Chaix ML, Delfraissy JF, Essat A, Fischer H, Lecuroux C, Meyer L, Petrov-Sanchez V, Rouzioux C, Saez-Cirion A, Seng R, Kuldanek K, Mullaney S, Young C, Zucchetti A, Bevan MA, McKernan S, Wandolo E, Richardson C, Youssef E, Green P, Faulkner S, Faville R, Herman S, Care C, Blackman H, Bellenger K, Fairbrother K, Phillips A, Babiker A, Delpech V, Fidler S, Clarke M, Fox J, Gilson R, Goldberg D, Hawkins D, Johnson A, Johnson M, McLean K, Nastouli E, Post F, Kennedy N, Pritchard J, Andrady U, Rajda N, Donnelly C, McKernan S, Drake S, Gilleran G, White D, Ross J, Harding J, Faville R, Sweeney J, Flegg P, Toomer S, Wilding H, Woodward R, Dean G, Richardson C, Perry N, Gompels M, Jennings L, Bansaal D, Browing M, Connolly L, Stanley B, Estreich S, Magdy A, O'Mahony C, Fraser P, Jebakumar SPR, David L, Mette R, Summerfield H, Evans M, White C, Robertson R, Lean C, Morris S, Winter A, Faulkner S, Goorney B, Howard L, Fairley I, Stemp C, Short L, Gomez M, Young F, Roberts M, Green S, Sivakumar K, Minton J, Siminoni A, Calderwood J, Greenhough D, DeSouza C, Muthern L, Orkin C, Murphy S, Truvedi M, McLean K, Hawkins D, Higgs C, Moyes A, Antonucci S, McCormack S, Lynn W, Bevan M, Fox J, Teague A, Anderson J, Mguni S, Post F, Campbell L, Mazhude C, Russell H, Gilson R, Carrick G, Ainsworth J, Waters A, Byrne P, Johnson M, Fidler S, Kuldanek K, Mullaney S, Lawlor V, Melville R, Sukthankar A, Thorpe S, Murphy C, Wilkins E, Ahmad S, Green P, Tayal S, Ong E, Meaden J, Riddell L, Loay D, Peacock K, Blackman H, Harindra V, Saeed AM, Allen S, Natarajan U, Williams O, Lacey H, Care C, Bowman C, Herman S, Devendra SV, Wither J, Bridgwood A, Singh G, Bushby S, Kellock D, Young S, Rooney G, Snart B, Currie J, Fitzgerald M, Arumainayyagam J, Chandramani S. A highly virulent variant of HIV-1 circulating in the Netherlands. Science 2022; 375:540-545. [PMID: 35113714 DOI: 10.1126/science.abk1688] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
We discovered a highly virulent variant of subtype-B HIV-1 in the Netherlands. One hundred nine individuals with this variant had a 0.54 to 0.74 log10 increase (i.e., a ~3.5-fold to 5.5-fold increase) in viral load compared with, and exhibited CD4 cell decline twice as fast as, 6604 individuals with other subtype-B strains. Without treatment, advanced HIV-CD4 cell counts below 350 cells per cubic millimeter, with long-term clinical consequences-is expected to be reached, on average, 9 months after diagnosis for individuals in their thirties with this variant. Age, sex, suspected mode of transmission, and place of birth for the aforementioned 109 individuals were typical for HIV-positive people in the Netherlands, which suggests that the increased virulence is attributable to the viral strain. Genetic sequence analysis suggests that this variant arose in the 1990s from de novo mutation, not recombination, with increased transmissibility and an unfamiliar molecular mechanism of virulence.
Collapse
Affiliation(s)
- Chris Wymant
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | - François Blanquart
- Centre for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, PSL Research University, Paris, France.,IAME, UMR 1137, INSERM, Université de Paris, Paris, France
| | - Luca Ferretti
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Astrid Gall
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Matthew Hall
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Tanya Golubchik
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Margreet Bakker
- Laboratory of Experimental Virology, Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Swee Hoe Ong
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Lele Zhao
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - David Bonsall
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.,Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Mariateresa de Cesare
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - George MacIntyre-Cockett
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.,Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Lucie Abeler-Dörner
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Jan Albert
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Microbiology, Karolinska University Hospital, Stockholm, Sweden
| | - Norbert Bannert
- Division for HIV and Other Retroviruses, Department of Infectious Diseases, Robert Koch Institute, Berlin, Germany
| | - Jacques Fellay
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland.,Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - M Kate Grabowski
- Department of Pathology, John Hopkins University, Baltimore, MD, USA
| | | | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Pia Kivelä
- Department of Infectious Diseases, Helsinki University Hospital, Helsinki, Finland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | | | - Laurence Meyer
- INSERM CESP U1018, Université Paris Saclay, APHP, Service de Santé Publique, Hôpital de Bicêtre, Le Kremlin-Bicêtre, France
| | - Kholoud Porter
- Institute for Global Health, University College London, London, UK
| | - Matti Ristola
- Department of Infectious Diseases, Helsinki University Hospital, Helsinki, Finland
| | | | - Ben Berkhout
- Laboratory of Experimental Virology, Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Paul Kellam
- Kymab Ltd., Cambridge, UK.,Department of Infectious Diseases, Faculty of Medicine, Imperial College London, London, UK
| | - Marion Cornelissen
- Laboratory of Experimental Virology, Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands.,Molecular Diagnostic Unit, Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Peter Reiss
- Stichting HIV Monitoring, Amsterdam, Netherlands.,Department of Global Health, Amsterdam University Medical Centers, University of Amsterdam and Amsterdam Institute for Global Health and Development, Amsterdam, Netherlands
| | - Christophe Fraser
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.,Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
3
|
Affiliation(s)
- Shafer Soars
- Department of Chemistry University of Colorado‐ Boulder Boulder CO 80303 USA
| | - Joshua Kamps
- Department of Chemistry University of Colorado‐ Boulder Boulder CO 80303 USA
| | - Benjamin Fairbanks
- Department of Chemical and Biological Engineering University of Colorado‐Boulder Boulder CO 80303 USA
| | - Christopher Bowman
- Department of Chemical and Biological Engineering University of Colorado‐Boulder Boulder CO 80303 USA
| |
Collapse
|
4
|
Dobi D, Vincenti F, Chandran S, Greenland JR, Bowman C, Chen A, Junger H, Laszik ZG. The impact of belatacept on the phenotypic heterogeneity of renal T cell-mediated alloimmune response: The critical role of maintenance treatment and inflammatory load. Clin Transplant 2020; 34:e14084. [PMID: 32939817 DOI: 10.1111/ctr.14084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Revised: 07/30/2020] [Accepted: 08/21/2020] [Indexed: 11/30/2022]
Abstract
Belatacept offers superior long-term outcome relative to calcineurin inhibitor (CNI)-based immunosuppression. However, the higher frequency of early T cell-mediated rejection (TCMR) in belatacept-treated patients hampered the widespread adoption of costimulation blockade. Here, we applied gene expression analysis and whole-slide inflammatory cell quantification to assess the impact of belatacept on intragraft immune signature. We studied formalin-fixed, paraffin-embedded renal biopsies from 92 patients stratified by histopathologic diagnosis (TCMR, borderline changes, or normal) and immunosuppression regimen (belatacept, CNI). An interaction model was built to explore maintenance treatment-dependent expression level changes of immune response-related genes across diagnostic categories of normal, borderline changes, and TCMR. Ninety-one percent of genes overexpressed in TCMR showed significant correlation with whole section inflammatory load. There were 27 genes that had a positive association with belatacept treatment. These were mostly related to myeloid cells and innate immunity. Genes negatively associated with costimulation blockade (n = 14) could be linked to B-cell differentiation and proliferation. We concluded that expression levels of genes characteristic of TCMR are strongly interconnected with quantitative changes of the biopsy inflammatory load. Our results might suggest differential involvement of the innate immune system, and an altered B-cell engagement during TCMR in belatacept-treated patients relative to CNI-treated referents.
Collapse
Affiliation(s)
- Dejan Dobi
- Department of Pathology, University of California, San Francisco, CA, USA
| | - Flavio Vincenti
- Department of Medicine, University of California, San Francisco, CA, USA.,Department of Surgery, University of California, San Francisco, CA, USA
| | - Sindhu Chandran
- Department of Medicine, University of California, San Francisco, CA, USA
| | - John R Greenland
- Department of Medicine, University of California, San Francisco, CA, USA.,Medical Service, Veterans Affairs Health Care System, San Francisco, CA, USA
| | - Christopher Bowman
- Department of Pathology, University of California, San Francisco, CA, USA
| | - Adeline Chen
- Department of Pathology, University of California, San Francisco, CA, USA
| | - Henrik Junger
- Department of Surgery, University of California, San Francisco, CA, USA
| | - Zoltan G Laszik
- Department of Pathology, University of California, San Francisco, CA, USA
| |
Collapse
|
5
|
Bowman C, Barreras N. EFFECTIVENESS OF TOPIC-DIRECTED EDUCATION ON INTERNAL MEDICINE RESIDENTS’ CONFIDENCE IN RAPID RESPONSES. Chest 2020. [DOI: 10.1016/j.chest.2020.08.1226] [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
|
6
|
Jack AS, Shah V, Ramey WL, Bowman C, Huie CJ, Jacques LG. Brachial plexus mucormycosis secondary to perineurial spread: Literature review and case report of a rare mode of infectious spread. Interdisciplinary Neurosurgery 2020. [DOI: 10.1016/j.inat.2020.100687] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
|
7
|
Love D, Fairbanks B, Bowman C. Reaction Environment Effect on the Kinetics of Radical Thiol-Ene Polymerizations in the Presence of Amines and Thiolate Anions. ACS Macro Lett 2020; 9:174-179. [PMID: 35638679 DOI: 10.1021/acsmacrolett.9b00960] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Because of facile implementation, quantitative conversions, and an insensitivity to oxygen, water, and most organic functional groups, radical-mediated thiol-ene coupling (TEC) reactions have emerged as a valuable tool in macromolecule synthesis. It was recently demonstrated that the kinetics and conversions of thiyl radical-mediated reactions are adversely affected in the presence of basic amines by the formation of retardive thiolate anions. Herein, the performance of TEC polymerizations is evaluated under a variety of reaction environments with the intention to aid in the optimal formulation design of TEC reactions in the presence of amines. Results from both bulk and aqueous-phase network photopolymerizations established that sensitivity to amine basicity and pH is dependent on the thiol acidity, although norbornene-type alkenes exhibit a unique ability to achieve high conversions, where allyl ethers, vinyl ether, and vinyl siloxanes are highly inhibited. Additionally, the protic solvents such as alcohols and acetic acid are established as ideal solvents or additives to suppress or eliminate amine-induced retardation.
Collapse
|
8
|
Abstract
Christopher Bowman, Filip Du Prez and Julia Kalow introduce the Polymer Chemistry themed collection on chemistry for covalent adaptable networks.
Collapse
Affiliation(s)
- Christopher Bowman
- Department of Chemical and Biological Engineering
- University of Colorado
- Boulder
- USA
| | - Filip Du Prez
- Department of Organic and Macromolecular Chemistry
- Polymer Chemistry Research Group
- Center of Macromolecular Chemistry (CMaC)
- Faculty of Sciences
- Ghent University
| | - Julia Kalow
- Department of Chemistry
- Northwestern University
- Evanston
- USA
| |
Collapse
|
9
|
Love D, Kim K, Domaille DW, Williams O, Stansbury J, Musgrave C, Bowman C. Catalyst-free, aza-Michael polymerization of hydrazides: polymerizability, kinetics, and mechanistic origin of an α-effect. Polym Chem 2019; 10:5790-5804. [PMID: 31749894 PMCID: PMC6865069 DOI: 10.1039/c9py01199d] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Despite the powerful nature of the aza-Michael reaction for generating C-N linkages and bioactive moieties, the bis-Michael addition of 1° amines remains ineffective for the synthesis of functional, step-growth polymers due to the drastic reduction in reactivity of the resulting 2° amine mono-addition adduct. In this study, a wide range of commercial hydrazides are shown to effectively undergo the bis-Michael reaction with divinyl sulfone (DVS) and 1,6-hexanediol diacrylate (HDA) under catalyst-free, thermal conditions to afford moderate to high molecular weight polymers with M n = 3.8-34.5 kg mol-1. The hydrazide-Michael reactions exhibit two distinctive, conversion-dependent kinetic regimes that are 2nd-order overall, in contrast to the 3rd-order nature of amines previously reported. The mono-addition rate constant was found to be 37-fold greater than that of the bis-addition at 80 °C for the reaction between benzhydrazide and DVS. A significant majority (12 of 15) of the hydrazide derivatives used here show excellent bis-Michael reactivity and achieve >97% conversions after 5 days. This behavior is consistent with calculations that show minimal variance of electron density on the N-nucleophile among the derivatives studied. Reactivity differences between hydrazides and hexylamine are also explored. Overall, the difference in reactivity between hydrazides and amines is attributed to the adjacent nitrogen atom in hydrazides that acts as an efficient hydrogen-bond donor that facilitates intramolecular proton-transfer following the formation of the zwitterion intermediate. This effect not only activates the Michael acceptor but also coordinates with additional Michael acceptors to form an intermolecular reactant complex.
Collapse
Affiliation(s)
- Dillon Love
- Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado 80309, USA
| | - Kangmin Kim
- Department of Chemistry, University of Colorado Boulder, Boulder, Colorado 80309, USA
| | - Dylan W. Domaille
- Department of Chemistry, Colorado School of Mines, Golden, Colorado 80401, USA
| | - Olivia Williams
- Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado 80309, USA
| | - Jeffrey Stansbury
- Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado 80309, USA
- Materials Science and Engineering Program, University of Colorado Boulder, Boulder, Colorado 80309, USA
- School of Dental Medicine, Craniofacial Biology, University of Colorado Denver, Aurora, Colorado 80045, USA
| | - Charles Musgrave
- Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado 80309, USA
- Department of Chemistry, University of Colorado Boulder, Boulder, Colorado 80309, USA
- Materials Science and Engineering Program, University of Colorado Boulder, Boulder, Colorado 80309, USA
| | - Christopher Bowman
- Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado 80309, USA
- Department of Chemistry, University of Colorado Boulder, Boulder, Colorado 80309, USA
- Materials Science and Engineering Program, University of Colorado Boulder, Boulder, Colorado 80309, USA
| |
Collapse
|
10
|
Cha J, Coleman-Pierron R, Burks M, Mashayekhi M, Wright J, Yu S, Bowman C, Hendrickson C. MON-001 Assessment of Endocrine Clinic Attendance Rates to Guide Interventions to Reduce Patient No-Show Rates. J Endocr Soc 2019. [PMCID: PMC6550437 DOI: 10.1210/js.2019-mon-001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
As a part of our endocrine fellowship quality improvement training, we sought to improve patient access to endocrine outpatient clinic appointments at our institution. From the physician perspective, patients who do not show up for a 30-45 minute new patient visit slot disrupt clinic flow and limits access for other patients. Therefore, we decided to focus our attention on reducing the new patient no-show rate. Here, we assessed the efficacy of our current scheduling system from 2014-2016. This analysis was performed as part of a quality improvement project to inform future interventions. Previously, only a few studies have attempted to identify baseline no-show rates (1,2). Our institution utilizes an automated telephone appointment reminder system (Televox) which calls patients three to four business days prior to a scheduled appointment and gives the patient an opportunity to confirm or cancel the appointment. Televox data for 7,556 patients over 34 months (1/2014-10/2016) revealed a 95% show frequency for patients who confirmed their appointment, 82% show frequency for patients for which there was no response to the Televox reminder, and 78% show frequency of patients who were not reached (Televox call not made). P-Chart of the show frequencies of patients who did not respond or were not reached fluctuated between 70-90% over this period. This analysis shows that new patients who did not respond or were not reached are a potential target for intervention. By identifying this cohort early, we will be able to implement intervention and reschedule patients in a timely manner to improve clinic flow and clinic access. References: 1. Mohamed, K., Mustafa, A., Tahtamouni, S., Taha, E., Hassan, R. A Quality Improvement Project to Reduce the ‘No Show’ Rate in a Paediatric Neurology Clinic. BMJ Quality Improvement Reports. pii: u209266.w3789, 2016. PMID: 27651897 2. Santiago, V.A., Warwick, K., Ratnakumarasuriyar, S., Oyewumi, A., Robinson, S., Sockalingam, S. Evaluation of a Patient-Care Planning Intervention to Improve Appointment Attendance by Adults After Bariatric Surgery. Canadian Journal of Diabetes, pii: S1499-2671(17)31001-8, 2018. PMID: 30121163 Sources of Research Support: None
Collapse
Affiliation(s)
- Jeeyeon Cha
- Vanderbilt University Medical Center, Nashville, TN, United States
| | | | - Margaret Burks
- Vanderbilt University Medical Center, Nashville, TN, United States
| | - Mona Mashayekhi
- Vanderbilt University Medical Center, Nashville, TN, United States
| | - Jordan Wright
- Vanderbilt University Medical Center, Nashville, TN, United States
| | - Sophia Yu
- Vanderbilt University Medical Center, Nashville, TN, United States
| | | | | |
Collapse
|
11
|
Carr M, Meakins A, Silburn SA, Karhunen J, Bernert M, Bowman C, Callarelli A, Carvalho P, Giroud C, Harrison JR, Henderson SS, Huber A, Lipschultz B, Lunt T, Moulton D, Reimold F. Physically principled reflection models applied to filtered camera imaging inversions in metal walled fusion machines. Rev Sci Instrum 2019; 90:043504. [PMID: 31043003 DOI: 10.1063/1.5092781] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Accepted: 03/29/2019] [Indexed: 06/09/2023]
Abstract
Ray-tracing techniques are applied to filtered divertor imaging, a diagnostic that has long suffered from artifacts due to the polluting effect of reflected light in metal walled fusion machines. Physically realistic surface reflections were modeled using a Cook-Torrance micro-facet bi-directional reflection distribution function applied to a high resolution mesh of the vessel geometry. In the absence of gonioreflectometer measurements, a technique was developed to fit the free parameters of the Cook-Torrance model against images of the JET in-vessel light sources. By coupling this model with high fidelity plasma fluid simulations, photo-realistic renderings of a number of tokamak plasma emission scenarios were generated. Finally, a sensitivity matrix describing the optical coupling of a JET divertor camera and the emission profile of the plasma was obtained, including full reflection effects. These matrices are used to perform inversions on measured data and shown to reduce the level of artifacts in inverted emission profiles.
Collapse
Affiliation(s)
- M Carr
- UKAEA/CCFE, Culham Science Centre, Abingdon, Oxon OX14 3DB, United Kingdom
| | - A Meakins
- UKAEA/CCFE, Culham Science Centre, Abingdon, Oxon OX14 3DB, United Kingdom
| | - S A Silburn
- UKAEA/CCFE, Culham Science Centre, Abingdon, Oxon OX14 3DB, United Kingdom
| | - J Karhunen
- Department of Applied Physics, Aalto University School of Science, P.O. Box 11100, FI-00076 Aalto, Finland
| | - M Bernert
- Max-Planck-Institut für Plasmaphysik, 85748 Garching, Germany
| | - C Bowman
- Department of Physics, York Plasma Institute, University of York, Heslington, York, United Kingdom
| | - A Callarelli
- UKAEA/CCFE, Culham Science Centre, Abingdon, Oxon OX14 3DB, United Kingdom
| | - P Carvalho
- UKAEA/CCFE, Culham Science Centre, Abingdon, Oxon OX14 3DB, United Kingdom
| | - C Giroud
- UKAEA/CCFE, Culham Science Centre, Abingdon, Oxon OX14 3DB, United Kingdom
| | - J R Harrison
- UKAEA/CCFE, Culham Science Centre, Abingdon, Oxon OX14 3DB, United Kingdom
| | - S S Henderson
- UKAEA/CCFE, Culham Science Centre, Abingdon, Oxon OX14 3DB, United Kingdom
| | - A Huber
- Forschungszentrum Jülich GmbH, Institut für Energie-und Klimaforschung - Plasmaphysik, 52425 Jülich, Germany
| | - B Lipschultz
- Department of Physics, York Plasma Institute, University of York, Heslington, York, United Kingdom
| | - T Lunt
- Max-Planck-Institut für Plasmaphysik, 85748 Garching, Germany
| | - D Moulton
- UKAEA/CCFE, Culham Science Centre, Abingdon, Oxon OX14 3DB, United Kingdom
| | - F Reimold
- Max-Planck-Institut für Plasmaphysik, Greifswald, Germany
| |
Collapse
|
12
|
|
13
|
|
14
|
Modrek AS, Golub D, Khan T, Bready D, Prado J, Bowman C, Deng J, Zhang G, Rocha PP, Raviram R, Lazaris C, Stafford JM, LeRoy G, Kader M, Dhaliwal J, Bayin NS, Frenster JD, Serrano J, Chiriboga L, Baitalmal R, Nanjangud G, Chi AS, Golfinos JG, Wang J, Karajannis MA, Bonneau RA, Reinberg D, Tsirigos A, Zagzag D, Snuderl M, Skok JA, Neubert TA, Placantonakis DG. Low-Grade Astrocytoma Mutations in IDH1, P53, and ATRX Cooperate to Block Differentiation of Human Neural Stem Cells via Repression of SOX2. Cell Rep 2018; 21:1267-1280. [PMID: 29091765 DOI: 10.1016/j.celrep.2017.10.009] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [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: 04/20/2017] [Revised: 08/24/2017] [Accepted: 10/02/2017] [Indexed: 02/07/2023] Open
Abstract
Low-grade astrocytomas (LGAs) carry neomorphic mutations in isocitrate dehydrogenase (IDH) concurrently with P53 and ATRX loss. To model LGA formation, we introduced R132H IDH1, P53 shRNA, and ATRX shRNA into human neural stem cells (NSCs). These oncogenic hits blocked NSC differentiation, increased invasiveness in vivo, and led to a DNA methylation and transcriptional profile resembling IDH1 mutant human LGAs. The differentiation block was caused by transcriptional silencing of the transcription factor SOX2 secondary to disassociation of its promoter from a putative enhancer. This occurred because of reduced binding of the chromatin organizer CTCF to its DNA motifs and disrupted chromatin looping. Our human model of IDH mutant LGA formation implicates impaired NSC differentiation because of repression of SOX2 as an early driver of gliomagenesis.
Collapse
Affiliation(s)
- Aram S Modrek
- Department of Neurosurgery, NYU School of Medicine, New York, NY 10016, USA
| | - Danielle Golub
- Department of Neurosurgery, NYU School of Medicine, New York, NY 10016, USA
| | - Themasap Khan
- Department of Neurosurgery, NYU School of Medicine, New York, NY 10016, USA
| | - Devin Bready
- Department of Neurosurgery, NYU School of Medicine, New York, NY 10016, USA
| | - Jod Prado
- Department of Neurosurgery, NYU School of Medicine, New York, NY 10016, USA
| | - Christopher Bowman
- Department of Pathology, NYU School of Medicine, New York, NY 10016, USA
| | - Jingjing Deng
- Department of Cell Biology, NYU School of Medicine, New York, NY 10016, USA
| | - Guoan Zhang
- Department of Cell Biology, NYU School of Medicine, New York, NY 10016, USA
| | - Pedro P Rocha
- Department of Pathology, NYU School of Medicine, New York, NY 10016, USA
| | - Ramya Raviram
- Department of Pathology, NYU School of Medicine, New York, NY 10016, USA
| | - Charalampos Lazaris
- Department of Pathology, NYU School of Medicine, New York, NY 10016, USA; Applied Bioinformatics Center, NYU School of Medicine, New York, NY 10016, USA
| | - James M Stafford
- Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA
| | - Gary LeRoy
- Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA
| | - Michael Kader
- Department of Neurosurgery, NYU School of Medicine, New York, NY 10016, USA
| | - Joravar Dhaliwal
- Department of Neurosurgery, NYU School of Medicine, New York, NY 10016, USA
| | - N Sumru Bayin
- Department of Neurosurgery, NYU School of Medicine, New York, NY 10016, USA; Kimmel Center for Stem Cell Biology, NYU School of Medicine, New York, NY 10016, USA
| | - Joshua D Frenster
- Department of Neurosurgery, NYU School of Medicine, New York, NY 10016, USA; Kimmel Center for Stem Cell Biology, NYU School of Medicine, New York, NY 10016, USA
| | - Jonathan Serrano
- Department of Pathology, NYU School of Medicine, New York, NY 10016, USA
| | - Luis Chiriboga
- Department of Pathology, NYU School of Medicine, New York, NY 10016, USA
| | - Rabaa Baitalmal
- Department of Pathology, NYU School of Medicine, New York, NY 10016, USA
| | - Gouri Nanjangud
- Molecular Cytogenetics Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Andrew S Chi
- Department of Neurology, NYU School of Medicine, New York, NY 10016, USA; Laura and Isaac Perlmutter Cancer Center, NYU School of Medicine, New York, NY 10016, USA; Brain Tumor Center, NYU School of Medicine, New York, NY 10016, USA
| | - John G Golfinos
- Department of Neurosurgery, NYU School of Medicine, New York, NY 10016, USA; Laura and Isaac Perlmutter Cancer Center, NYU School of Medicine, New York, NY 10016, USA; Brain Tumor Center, NYU School of Medicine, New York, NY 10016, USA
| | - Jing Wang
- Department of Anesthesiology, NYU School of Medicine, New York, NY 10016, USA
| | - Matthias A Karajannis
- Department of Pediatrics, NYU School of Medicine, New York, NY 10016, USA; Department of Otolaryngology, NYU School of Medicine, New York, NY 10016, USA
| | - Richard A Bonneau
- Department of Biology, New York University, New York, New York, 10003, USA; Department of Computer Science, New York University, New York, New York, 10003, USA; Simons Center for Data Analysis, New York, NY 10010, USA
| | - Danny Reinberg
- Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Aristotelis Tsirigos
- Department of Pathology, NYU School of Medicine, New York, NY 10016, USA; Applied Bioinformatics Center, NYU School of Medicine, New York, NY 10016, USA
| | - David Zagzag
- Department of Neurosurgery, NYU School of Medicine, New York, NY 10016, USA; Department of Pathology, NYU School of Medicine, New York, NY 10016, USA; Laura and Isaac Perlmutter Cancer Center, NYU School of Medicine, New York, NY 10016, USA; Brain Tumor Center, NYU School of Medicine, New York, NY 10016, USA
| | - Matija Snuderl
- Department of Pathology, NYU School of Medicine, New York, NY 10016, USA; Department of Neurology, NYU School of Medicine, New York, NY 10016, USA; Brain Tumor Center, NYU School of Medicine, New York, NY 10016, USA
| | - Jane A Skok
- Department of Pathology, NYU School of Medicine, New York, NY 10016, USA
| | - Thomas A Neubert
- Department of Cell Biology, NYU School of Medicine, New York, NY 10016, USA
| | - Dimitris G Placantonakis
- Department of Neurosurgery, NYU School of Medicine, New York, NY 10016, USA; Kimmel Center for Stem Cell Biology, NYU School of Medicine, New York, NY 10016, USA; Laura and Isaac Perlmutter Cancer Center, NYU School of Medicine, New York, NY 10016, USA; Brain Tumor Center, NYU School of Medicine, New York, NY 10016, USA; Neuroscience Institute, NYU School of Medicine, New York, NY 10016, USA.
| |
Collapse
|
15
|
Wu S, Cooper B, Bu F, Bowman C, Killian JK, Wang S, Jackson T, Gorovets D, Gorlick R, Thomas K, Karajannis M, Snuderl M. Abstract PR01: A DNA methylation-based classifier for accurate molecular diagnosis of bone sarcomas. Clin Cancer Res 2018. [DOI: 10.1158/1557-3265.sarcomas17-pr01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Bone sarcomas present a unique diagnostic challenge because of the considerable morphologic overlap between different entities. The choice of optimal treatment, however, is dependent upon accurate diagnosis. Genome-wide DNA methylation profiling has emerged as a new approach to aid in the diagnosis of brain tumors, with diagnostic accuracy exceeding standard histopathology. In this work we developed and validated a methylation-based classifier to differentiate between osteosarcoma, Ewing's sarcoma, and synovial sarcoma.
Methods: DNA methylation status of 482,421 CpG sites in 15 osteosarcoma, 10 Ewing's sarcoma, and 11 synovial sarcoma samples were measured using the Illumina HumanMethylation450 array. From this training set of 36 sarcoma samples we developed a random forest classifier from the 400 most differentially methylated CpG sites (FDR q value <0.001). This classifier was then validated on 10 synovial sarcoma samples from The Cancer Genome Atlas (TCGA), 86 osteosarcoma samples from TARGET-OS, and 15 Ewing's sarcoma from a recently published series. (Huertas-Martinez et al., Cancer Lett 2016)
Results: Methylation profiling revealed three distinct molecular clusters, each enriched with a single sarcoma subtype. Within the validation cohorts, all samples from TCGA were accurately classified as synovial sarcoma (10/10, sensitivity and specificity 100%). All but one sample from TARGET-OS were classified as osteosarcoma (85/86, sensitivity 98%, specificity 100%) and all but one sample from the Ewing's sarcoma series was classified as Ewing's (14/15, sensitivity 93%, specificity 100%). The single misclassified osteosarcoma sample was classified as a Ewing's sarcoma, and later determined to be a misdiagnosed Ewing's sarcoma based on RNA-seq data demonstrating high EWRS1 and ETV1 expression. An additional clinical sample that was misdiagnosed as a synovial sarcoma based on initial histopathology was accurately recognized as osteosarcoma by the methylation classifier. Pathway analysis with MSigDB (Broad Institute) identified targets of polycomb group proteins SUZ12 and EED, possessing the H3K27 trimethylated mark, as highly enriched within classifier genes
Conclusions: Osteosarcoma, Ewing's sarcoma, and synovial sarcoma have distinct epigenetic profiles. Our validated methylation-based classifier provides increased diagnostic accuracy, including in cases where standard histopathology is inconclusive.
This abstract is also being presented as Poster A01.
Citation Format: Shengyang Wu, Benjamin Cooper, Fang Bu, Christopher Bowman, Jonathan K. Killian, Shiyang Wang, Twana Jackson, Daniel Gorovets, Richard Gorlick, Kristen Thomas, Matthias Karajannis, Matija Snuderl. A DNA methylation-based classifier for accurate molecular diagnosis of bone sarcomas [abstract]. In: Proceedings of the AACR Conference on Advances in Sarcomas: From Basic Science to Clinical Translation; May 16-19, 2017; Philadelphia, PA. Philadelphia (PA): AACR; Clin Cancer Res 2018;24(2_Suppl):Abstract nr PR01.
Collapse
Affiliation(s)
| | | | - Fang Bu
- 1NYU School of Medicine, New York, NY,
| | | | | | | | | | | | | | | | | | | |
Collapse
|
16
|
Woodruff S, Stuber JE, Bowman C, Sieck PE, Melnik PA, Romero-Talamás CA, O’Bryan JB, Miller RL. Adiabatic Compression of a Compact Torus. Fusion Science and Technology 2017. [DOI: 10.1080/15361055.2017.1350488] [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: 10/18/2022]
Affiliation(s)
- S. Woodruff
- Woodruff Scientific Inc., 4000 Aurora Avenue N, Seattle, Washington 98103
| | - J. E. Stuber
- Woodruff Scientific Inc., 4000 Aurora Avenue N, Seattle, Washington 98103
| | - C. Bowman
- Woodruff Scientific Inc., 4000 Aurora Avenue N, Seattle, Washington 98103
| | - P. E. Sieck
- Woodruff Scientific Inc., 4000 Aurora Avenue N, Seattle, Washington 98103
| | - P. A. Melnik
- Woodruff Scientific Inc., 4000 Aurora Avenue N, Seattle, Washington 98103
| | - C. A. Romero-Talamás
- University of Maryland Baltimore County, 1000 Hilltop Circle, Engineering 222, Baltimore, Maryland 21250
| | - J. B. O’Bryan
- University of Maryland Baltimore County, 1000 Hilltop Circle, Engineering 222, Baltimore, Maryland 21250
| | - R. L. Miller
- Decysive Systems, 813 Calle David, Santa Fe, New Mexico 87506-6017
| |
Collapse
|
17
|
Kloetgen A, Serrano J, Patel S, Bowman C, Shen G, Zagzag D, Karajannis M, Golfinos J, Placantonakis D, Tsirigos A, Chi AS, Snuderl M. GENE-02. PERIPHERAL BLOOD DNA METHYLATION PROFILES IDENTIFY IDH1/2 MUTATION STATUS IN ADULTS WITH DIFFUSE GLIOMA. Neuro Oncol 2017. [DOI: 10.1093/neuonc/nox168.377] [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: 11/13/2022] Open
|
18
|
Bowman C, Abramson V, Wellons M. Ketoacidosis With Canagliflozin Prescribed for Phosphoinositide 3-Kinase Inhibitor-Induced Hyperglycemia: A Case Report. J Investig Med High Impact Case Rep 2017; 5:2324709617725351. [PMID: 28856166 PMCID: PMC5571767 DOI: 10.1177/2324709617725351] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 06/22/2017] [Accepted: 06/26/2017] [Indexed: 12/28/2022] Open
Abstract
Context. Many phosphoinositide-3-kinase (PI3K) inhibitors are under trial for cancer treatment. We present a patient taking taselisib who developed ketoacidosis within 1 week of starting canagliflozin. Case Description. A 69-year-old female patient with no previous history of diabetes mellitus was enrolled in a clinical trial for taselisib therapy in stage IV breast cancer. Hyperglycemia treatment with metformin was insufficient and not tolerated. The addition of canagliflozin daily resulted in ketoacidosis and hospitalization within 1 week. Conclusions. This case report brings together 2 poorly understood and relatively understudied disorders of glucose homeostasis: hyperglycemia due to PI3K inhibition and euglycemic ketoacidosis due to dehydration/SGLT2 inhibition. It demonstrates the complexities of glucose management in the setting of PI3K inhibition. PI3K stimulation (via insulin) in this setting is counterintuitive; therefore, non–insulin-mediated therapies (eg, metformin, thiazolidinediones) might be favored over insulin-mediated therapies.
Collapse
|
19
|
Gordon A, Goodman C, Davies S, Handley M, Iliffe S, Bowman C, Victor C, Martin F. DEVELOPING A PROGRAMME THEORY OF HEALTH CARE IN UK CARE HOMES—REVIEWS, SURVEYS, AND INTERVIEWS. Innov Aging 2017. [DOI: 10.1093/geroni/igx004.3849] [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: 11/14/2022] Open
Affiliation(s)
- A. Gordon
- University of Nottingham, Nottingham, United Kingdom
| | - C. Goodman
- University of Hertfordshire, Hatfield, United Kingdom,
| | - S. Davies
- University of Hertfordshire, Hatfield, United Kingdom,
| | - M. Handley
- University of Hertfordshire, Hatfield, United Kingdom,
| | - S. Iliffe
- University College London, London, United Kingdom,
| | - C. Bowman
- City University London, London, United Kingdom,
| | - C. Victor
- Brunel University London, London, United Kingdom,
| | - F. Martin
- Kings College London, London, United Kingdom,
| |
Collapse
|
20
|
Wiencek JR, Bowman C, Adams B, Sussman C, Sephel G, Linton MF, Nichols JH, Woodworth A. Falsely Decreased Carbon Dioxide in Patients with Hypertriglyceridemia. ACTA ACUST UNITED AC 2017; 2:123-125. [DOI: 10.1373/jalm.2017.023234] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Accepted: 03/13/2017] [Indexed: 11/06/2022]
|
21
|
Wu S, Cooper BT, Bu F, Bowman C, Killian K, Serrano J, Wang S, Jackson T, Gorovets D, Gorlick RG, Ladanyi M, Thomas K, Snuderl M, Karajannis MA. A DNA methylation-based classifier for accurate molecular diagnosis of bone sarcomas. J Clin Oncol 2017. [DOI: 10.1200/jco.2017.35.15_suppl.11034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
11034 Background: Bone sarcomas present a unique diagnostic challenge because of the considerable morphologic overlap between different entities. The choice of optimal treatment, however, is dependent upon accurate diagnosis. Genome-wide DNA methylation profiling has emerged as a new approach to aid in the diagnosis of brain tumors, with diagnostic accuracy exceeding standard histopathology. In this work we developed and validated a methylation based classifier to differentiate between osteosarcoma, Ewing’s sarcoma, and synovial sarcoma. Methods: DNA methylation status of 482,421 CpG sites in 15 osteosarcoma, 10 Ewing’s sarcoma, and 11 synovial sarcoma samples were measured using the Illumina HumanMethylation450 array. From this training set of 36 samples we developed a random forest classifier using the 400 most differentially methylated CpG sites (FDR q value < 0.001). This classifier was then validated on 10 synovial sarcoma samples from TCGA, 86 osteosarcoma samples from TARGET-OS, and 15 Ewing’s sarcoma from a recently published series (Huertas-Martinez et al., Cancer Letters 2016). Results: Methylation profiling revealed three distinct molecular clusters, each enriched with a single sarcoma subtype. Within the validation cohorts, all samples from TCGA were correctly classified as synovial sarcoma (10/10, sensitivity and specificity 100%). All but one sample from TARGET-OS were classified as osteosarcoma (85/86, sensitivity 98%, specificity 100%) and all but one sample from the Ewing’s sarcoma series was classified as Ewing’s sarcoma (14/15, sensitivity 93%, specificity 100%). The single misclassified osteosarcoma sample was classified as Ewing’s sarcoma, and was later determined to be a misdiagnosed Ewing’s sarcoma based on RNA-Seq demonstrating high EWRS1 and ETV1 expression. An additional clinical sample that was misdiagnosed as a synovial sarcoma by initial histolopathology, was accurately recognized as osteosarcoma by the methylation classifier. Conclusions: Osteosarcoma, Ewing’s sarcoma and synovial sarcoma have distinct epigenetic profiles. Our validated methylation-based classifier can be used to provide an accurate diagnosis when histological and standard techniques are inconclusive.
Collapse
Affiliation(s)
| | | | - Fang Bu
- NYU School of Medicine, New York, NY
| | | | - Keith Killian
- Memorial Sloan-Kettering Cancer Center, New York, NY
| | | | | | | | | | | | - Marc Ladanyi
- Memorial Sloan-Kettering Cancer Center, New York, NY
| | | | | | | |
Collapse
|
22
|
Segal D, Thomas C, Bowman C, Kannan K, Wang S, Heguy A, Liechty B, Jones DT, Hovestadt V, Pfister SM, Karajannis M, Snuderl M. MPTH-59. ANAPLASTIC PLEOMORPHIC XANTHOASTROCYTOMAS: A CLINICOPATHOLOGIC AND MOLECULAR PROFILE. Neuro Oncol 2016. [DOI: 10.1093/neuonc/now212.493] [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: 11/13/2022] Open
|
23
|
Modrek A, Golub D, Khan T, Zhang G, Kader M, Bowman C, Prado J, Bayin NS, Frenster J, Lhakhang T, Heguy A, Dankert J, Tsirigos A, Snuderl M, Neubert T, Placantonakis D. STMC-21. ASTROCYTOMA MUTATIONS IDH1, p53 AND ATRX COOPERATE TO BLOCK DIFFERENTIATION OF NEURAL STEM CELLS VIA Sox2. Neuro Oncol 2016. [DOI: 10.1093/neuonc/now212.784] [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: 11/12/2022] Open
|
24
|
Jackson D, Mottram P, Bowman C, Cameron J, Rashid H, Quine E, Lockwood S. Heart Failure with Reduced LV Ejection Fraction and Atrial Fibrillation/Flutter – What Predicts LV Ejection Fraction Recovery? Heart Lung Circ 2016. [DOI: 10.1016/j.hlc.2016.06.269] [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]
|
25
|
Segal D, Thomas C, Bowman C, Kannan K, Wang S, Heguy A, Liechty B, Jones D, Hovestadt V, Pfister S, Karajannis M, Snuderl M. HG-127ANAPLASTIC PLEOMORPHIC XANTHOASTROCYTOMAS: A CLINICOPATHOLOGIC AND MOLECULAR PROFILE. Neuro Oncol 2016. [DOI: 10.1093/neuonc/now073.123] [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: 11/14/2022] Open
|
26
|
Rosella L, Bowman C, Pach B, Morgan S, Fitzpatrick T, Goel V. The development and validation of a meta-tool for quality appraisal of public health evidence: Meta Quality Appraisal Tool (MetaQAT). Public Health 2016; 136:57-65. [PMID: 26993202 DOI: 10.1016/j.puhe.2015.10.027] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [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: 02/14/2015] [Revised: 09/30/2015] [Accepted: 10/29/2015] [Indexed: 01/08/2023]
Abstract
OBJECTIVES Most quality appraisal tools were developed for clinical medicine and tend to be study-specific with a strong emphasis on risk of bias. In order to be more relevant to public health, an appropriate quality appraisal tool needs to be less reliant on the evidence hierarchy and consider practice applicability. Given the broad range of study designs used in public health, the objective of this study was to develop and validate a meta-tool that combines public health-focused principles of appraisal coupled with a set of design-specific companion tools. STUDY DESIGN Several design methods were used to develop and validate the tool including literature review, synthesis, and validation with a reference standard. METHODS A search of critical appraisal tools relevant to public health was conducted; core concepts were collated. The resulting framework was piloted during three feedback sessions with public health practitioners. Following subsequent revisions, the final meta-tool, the Meta Quality Appraisal Tool (MetaQAT), was then validated through a content analysis of appraisals conducted by two groups of experienced public health researchers (MetaQAT vs generic appraisal form). RESULTS The MetaQAT framework consists of four domains: relevancy, reliability, validity, and applicability. In addition, a companion tool was assembled from existing critical appraisal tools to provide study design-specific guidance on validity appraisal. Content analysis showed similar methodological and generalizability concerns were raised by both groups; however, the MetaQAT appraisers commented more extensively on applicability to public health practice. CONCLUSIONS Critical appraisal tools designed for clinical medicine have limitations for use in the context of public health. The meta-tool structure of the MetaQAT allows for rigorous appraisal, while allowing users to simultaneously appraise the multitude of study designs relevant to public health research and assess non-standard domains, such as applicability.
Collapse
Affiliation(s)
- L Rosella
- Dalla Lana School of Public Health, University of Toronto, Health Sciences Bldg, 6th Floor, 155 College St., Toronto, Ontario M5T 3M7, Canada; Public Health Ontario, 480 University Avenue, Suite 300, Toronto, Ontario M5G 1V2, Canada; Institute for Clinical Evaluative Sciences, Canada.
| | - C Bowman
- Public Health Ontario, 480 University Avenue, Suite 300, Toronto, Ontario M5G 1V2, Canada.
| | - B Pach
- Public Health Ontario, 480 University Avenue, Suite 300, Toronto, Ontario M5G 1V2, Canada.
| | - S Morgan
- Public Health Ontario, 480 University Avenue, Suite 300, Toronto, Ontario M5G 1V2, Canada.
| | - T Fitzpatrick
- Public Health Ontario, 480 University Avenue, Suite 300, Toronto, Ontario M5G 1V2, Canada.
| | - V Goel
- Dalla Lana School of Public Health, University of Toronto, Health Sciences Bldg, 6th Floor, 155 College St., Toronto, Ontario M5T 3M7, Canada; Public Health Ontario, 480 University Avenue, Suite 300, Toronto, Ontario M5G 1V2, Canada; Institute for Clinical Evaluative Sciences, Canada; Institute for Health Policy Management and Evaluation, University of Toronto, Canada.
| |
Collapse
|
27
|
Guo S, Melamed J, Eze O, Bowman C, Ahmed S, Moore HG, Loomis C, Heguy A, Brody R, Morrison DJ, Serrano J, Du KL, Wu JJ, Ryan T, Cohen DJ, Gu P, Goldberg JD, Snuderl M, Leichman LP, Leichman CG. Methylation profiling of locally advanced rectal cancer (LARC): Exploration of potential predictive markers for neoadjuvant chemoradiation (NACR). J Clin Oncol 2016. [DOI: 10.1200/jco.2016.34.4_suppl.614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
614 Background: NACR followed by total mesorectal excision (TME) is standard of care for LARC. However, only 10-20% of patients achieve complete pathologic response with associated optimal clinical outcome. No predictive biomarker is currently available. Aberrant DNA methylation is well known for its key role in the pathogenesis of colorectal cancer. Previous rectal cancer methylation studies were conducted in patients without NACR or inconclusive. We hypothesized a correlation between methylation status and pathologic outcome following NACR. Methods: This is an IRB approved, retrospective, translational study of patients with LARC who received identical NACR before TME at New York University hospitals. Ten micron sections from FFPE tissue blocks underwent laser capture microdissection (LCM) followed by genome DNA isolation. Illumina Infinium 450k methylation array was used to assess 485,000 methylation sites. Methylation profiles and copy number changes were analyzed using in-house bioinformatics. Histone H3K27me, a global methylation marker, was assessed using immunohistochemistry (IHC) and expression quantified in carcinoma cells, normal epithelium, inflammatory cells, stromal cells and endothelial cells. Results: Tumor specimens from 52 patients were collected. Analyzed specimens of stromal and cancer cells showed distinct methylation profiles pre- and post- therapy. The histone H3K27me3 mark was markedly increased in carcinoma compared to normal epithelium and strong trimethyl mark expression persisted in invasive carcinoma after the therapy including single cells. We obtained adequate DNA to demonstrate differences between pre- and post- NACR specimens and tissue sites. Full data set, including the known clinical and pathologic results, is to be presented. Conclusions: This is the first study to combine LCM and high throughput quantitative methylation profiling in rectal cancer to correlate with NACR outcome. Histone H3K27me3 IHC can be used to identify high-grade and invasive carcinoma with high specificity. Data from our annotated clinical cohort and correlative molecular results can inform a future prospective trial.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | - Adriana Heguy
- New York University School of Medicine, New York, NY
| | | | | | | | - Kevin Lee Du
- New York University School of Medicine, New York, NY
| | | | | | - Deirdre Jill Cohen
- Laura and Isaac Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY
| | - Ping Gu
- New York University Medical Center, Edison, NJ
| | | | | | - Lawrence P. Leichman
- Laura and Isaac Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY
| | | |
Collapse
|
28
|
Young R, Poyser C, Crack L, Dockrell D, Bowman C, Billingham L, Bower M, Westwell S, Leahy M, Woll P. 3434 A UK national phase I/II clinical trial of a MEK1/2 inhibitor combined with highly active anti-retroviral therapy for HIV-associated Kaposi's sarcoma. Eur J Cancer 2015. [DOI: 10.1016/s0959-8049(16)31907-4] [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: 11/28/2022]
|
29
|
Sharma S, Bowman C, Alladin A, Singh N. 116: Antibiotic Prescribing Patterns in the Pediatric Emergency Department at Georgetown Public Hospital Corporation. Paediatr Child Health 2015. [DOI: 10.1093/pch/20.5.e76] [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: 11/14/2022] Open
|
30
|
Romero L, Piccirillo C, Castro PML, Bowman C, Warwick MEA, Binions R. Titanium Dioxide Thin Films Deposited by Electric Field-Assisted CVD: Effect on Antimicrobial and Photocatalytic Properties**. ACTA ACUST UNITED AC 2015. [DOI: 10.1002/cvde.201407145] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Luz Romero
- School of Engineering and Materials Science; Queen Mary University of London; Mile End Road London E1 4NS United Kingdom
| | - Clara Piccirillo
- Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior Biotecnologia; Universidade Católica Portuguesa; Porto Portugal
| | - Paula M. L. Castro
- Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior Biotecnologia; Universidade Católica Portuguesa; Porto Portugal
| | - Christopher Bowman
- Department of Chemistry; Christopher Ingold Laboratories; University College London; 20 Gordon Street London WC1H 0AJ United Kingdom
| | - Michael E. A. Warwick
- Department of Chemistry; Christopher Ingold Laboratories; University College London; 20 Gordon Street London WC1H 0AJ United Kingdom
- UCL Energy Institute; Central House; 14 Upper Woburn Place London WC1H 0NN United Kingdom
| | - Russell Binions
- School of Engineering and Materials Science; Queen Mary University of London; Mile End Road London E1 4NS United Kingdom
| |
Collapse
|
31
|
Lockwood S, Bowman C, Cameron J. Early intervention in systolic heart failure = early recovery in LV ejection fraction. Heart Lung Circ 2015. [DOI: 10.1016/j.hlc.2015.06.220] [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: 10/23/2022]
|
32
|
Cheng J, Blum R, Bowman C, Hu D, Shilatifard A, Shen S, Dynlacht BD. A role for H3K4 monomethylation in gene repression and partitioning of chromatin readers. Mol Cell 2014; 53:979-92. [PMID: 24656132 DOI: 10.1016/j.molcel.2014.02.032] [Citation(s) in RCA: 152] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2013] [Revised: 12/23/2013] [Accepted: 02/03/2014] [Indexed: 01/28/2023]
Abstract
Monomethylation of lysine 4 on histone H3 (H3K4me1) is a well-established feature of enhancers and promoters, although its function is unknown. Here, we uncover roles for H3K4me1 in diverse cell types. Remarkably, we find that MLL3/4 provokes monomethylation of promoter regions and the conditional repression of muscle and inflammatory response genes in myoblasts. During myogenesis, muscle genes are activated, lose MLL3 occupancy, and become H3K4-trimethylated through an alternative COMPASS complex. Monomethylation-mediated repression was not restricted to skeletal muscle. Together with H3K27me3 and H4K20me1, H3K4me1 was associated with transcriptional silencing in embryonic fibroblasts, macrophages, and human embryonic stem cells (ESCs). On promoters of active genes, we find that H3K4me1 spatially demarcates the recruitment of factors that interact with H3K4me3, including ING1, which, in turn, recruits Sin3A. Our findings point to a unique role for H3K4 monomethylation in establishing boundaries that restrict the recruitment of chromatin-modifying enzymes to defined regions within promoters.
Collapse
Affiliation(s)
- Jemmie Cheng
- Department of Pathology and Cancer Institute, Smilow Research Center, New York University School of Medicine, New York, NY 10016, USA
| | - Roy Blum
- Department of Pathology and Cancer Institute, Smilow Research Center, New York University School of Medicine, New York, NY 10016, USA
| | - Christopher Bowman
- Department of Pathology and Cancer Institute, Smilow Research Center, New York University School of Medicine, New York, NY 10016, USA
| | - Deqing Hu
- Stowers Institute for Medical Research, Kansas City, MO 64110, USA
| | - Ali Shilatifard
- Stowers Institute for Medical Research, Kansas City, MO 64110, USA
| | - Steven Shen
- GTC, Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA
| | - Brian D Dynlacht
- Department of Pathology and Cancer Institute, Smilow Research Center, New York University School of Medicine, New York, NY 10016, USA.
| |
Collapse
|
33
|
Saunders JH, Miskovic D, Bowman C, Panto P, Menon A. Colorectal cancer is reliably excluded in the frail and elderly population by minimal preparation CT. Tech Coloproctol 2013; 18:137-43. [PMID: 23818235 DOI: 10.1007/s10151-013-1045-4] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2013] [Accepted: 06/18/2013] [Indexed: 12/18/2022]
Abstract
BACKGROUND This study aimed to retrospectively assess the accuracy of minimal preparation computed tomography (MPCT) in the detection of colorectal cancer (CRC) within the frail and elderly population and to evaluate the relevance of extra-colonic findings (ECF). METHODS Radiology reports, clinical notes and follow-up reports from 207 patients who underwent MPCT to investigate for CRC between 2005 and 2009 were analysed. Patients were scanned following the administration of oral contrast for 48 h, without bowel preparation or colonic insufflation. MPCT results were measured against patient outcomes, with a minimum of 2 years of follow-up. RESULTS Twelve cases of clinically relevant CRC were confirmed (5.8 %). MPCT correctly identified 11 of these lesions (sensitivity 91.6 %). Thirty-one patients had a possible CRC identified by MPCT, which was not confirmed by further examination (specificity 84.1 %). This results in a positive predictive value of 26.2 % and a negative predictive value of 99.4 %. Five of the patients with colon cancer underwent curative surgery. Sixty-eight clinically relevant ECF were confirmed, including 14 previously undiagnosed extra-colonic malignancies. ECF were considered to account for the presenting complaint in 15.0 % (31/207) of all patients. CONCLUSIONS Minimal preparation computed tomography is an effective and reliable investigation for the exclusion of clinically relevant CRC in this population. It provides clinicians with a valuable and pragmatic alternative to colonoscopy and CT colonography when invasive examination or cathartic bowel preparation will be poorly tolerated and small polyps are of limited significance. MPCT has an advantage over purely luminal imaging in the detection of extra-colonic pathology and appears to have an equally important role in the detection of CRC.
Collapse
Affiliation(s)
- J H Saunders
- Sherwood Forest Hospitals NHS Trust, Sutton in Ashfield, NG17 4JL, UK,
| | | | | | | | | |
Collapse
|
34
|
Blum R, Vethantham V, Bowman C, Rudnicki M, Dynlacht BD. Genome-wide identification of enhancers in skeletal muscle: the role of MyoD1. Genes Dev 2013; 26:2763-79. [PMID: 23249738 DOI: 10.1101/gad.200113.112] [Citation(s) in RCA: 129] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
To identify the compendium of distal regulatory elements that govern myogenic differentiation, we generated chromatin state maps based on histone modifications and recruitment of factors that typify enhancers in myoblasts and myotubes. We found a striking concordance between the locations of these newly defined enhancers, MyoD1-binding events, and noncoding RNA transcripts. These enhancers recruit several sequence-specific transcription factors in a spatially constrained manner around MyoD1-binding sites. Remarkably, MyoD1-null myoblasts show a wholesale loss of recruitment of these factors as well as diminished monomethylation of H3K4 (H3K4me1) and acetylation of H3K27 (H3K27ac) and reduced recruitment of Set7, an H3K4 monomethylase. Surprisingly, we found that H3K4me1, but not H3K27ac, could be restored by re-expression of MyoD1 in MyoD1(-/-) myoblasts, although re-expression of this factor in MyoD1-null myotubes restored both histone modifications. Our studies identified a role for MyoD1 in condition-specific enhancer assembly through recruitment of transcription factors and histone-modifying enzymes that shape muscle differentiation.
Collapse
Affiliation(s)
- Roy Blum
- Department of Pathology, New York University School of Medicine, New York, New York 10016, USA
| | | | | | | | | |
Collapse
|
35
|
Curry JL, Torres-Cabala CA, Tetzlaff MT, Bowman C, Prieto VG. Molecular Platforms Utilized to Detect BRAF V600E Mutation in Melanoma. ACTA ACUST UNITED AC 2012; 31:267-73. [DOI: 10.1016/j.sder.2012.07.007] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2012] [Accepted: 07/18/2012] [Indexed: 10/27/2022]
|
36
|
Meakin NS, Bowman C, Lewis MR, Dancer SJ. Comparison of cleaning efficacy between in-use disinfectant and electrolysed water in an English residential care home. J Hosp Infect 2011; 80:122-7. [PMID: 22196853 DOI: 10.1016/j.jhin.2011.10.015] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2010] [Accepted: 10/23/2011] [Indexed: 11/25/2022]
Abstract
BACKGROUND Infection control in hospitals and care homes remains a key issue. They are regularly inspected regarding standards of hygiene, but visual assessment does not necessarily correlate with microbial cleanliness. Pathogens can persist in the inanimate environment for extended periods of time. AIM This prospective study compared the effectiveness of a novel sanitizer containing electrolysed water, in which the active ingredient is stabilized hypochlorous acid (Aqualution™), with the effectiveness of the quaternary ammonium disinfectant in current use for microbial removal from hand-touch surfaces in a care home. The study had a two-period crossover design. METHODS Five surfaces were cleaned daily over a four-week period, with screening swabs taken before and after cleaning. Swabs were cultured in order to compare levels of surface microbial contamination [colony-forming units (cfu)/cm(2)] before and after cleaning with each product. FINDINGS Cleaning with electrolysed water reduced the mean surface bacterial load from 2.6 [interquartile range (IQR) 0.30-30.40] cfu/cm(2) to 0.10 (IQR 0.10-1.40) cfu/cm(2) [mean log(10) reduction factor 1.042, 95% confidence interval (CI) 0.79-1.30]. Cleaning with the in-use quaternary ammonium disinfectant increased the bacterial load from 0.90 (IQR 0.10-8.50) cfu/cm(2) to 93.30 (IQR 9.85-363.65) cfu/cm(2) (mean log(10) reduction -1.499, 95% CI -1.87 to -1.12) (P < 0.0001). Using two proposed benchmark standards for surface microbial levels in hospitals, electrolysed water resulted in a higher 'pass rate' than the in-use quaternary ammonium disinfectant (80-86% vs 15-21%, P < 0.0001). CONCLUSION Electrolysed water exerts a more effective bacterial kill than the in-use quaternary ammonium disinfectant, which suggests that it may be useful as a surface sanitizer in environments such as care homes.
Collapse
|
37
|
Saunders J, Bowman C, Panto P, Menon A. Investigation of colorectal cancer by minimal preparation CT in the frail and elderly patient. Gut 2011. [DOI: 10.1136/gut.2011.239301.151] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
|
38
|
Morris LK, Abu EA, Bowman C, Estridge CE, Andria SE, Seliskar CJ, Heineman WR. Effect of the Concentration of Supporting Electrolyte on Spectroelectrochemical Detection of [Ru(bpy)3]2+. ELECTROANAL 2011. [DOI: 10.1002/elan.201000529] [Citation(s) in RCA: 8] [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: 11/10/2022]
|
39
|
Lennon PA, Deleon E, Reynolds A, Pulido L, Lewing C, Mehta P, Biscanin S, Hai S, Bowman C, Galbincea J, Jakacky J, Hu P. A model for rewarding professional growth in the diagnostic molecular oncology laboratory. J Assoc Genet Technol 2011; 37:80-83. [PMID: 21654071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
The University of Texas M.D. Anderson Cancer Center (UTMDACC), Department of Pathology and Laboratory Medicine is committed to the endless pursuit of innovative research, education, training and administration for the prevention, diagnosis and clinical management of cancer and associated diseases. The molecular genetic technology professional development model promotes personal development, recognizes increased competencies, and sets high standards for all skills and services provided. There are four competency levels that comprise our Professional Development Model (PDM): Discovery, Application, Maturation, and Expert. The skill, knowledge, education, and certification requirements for each level are defined based on the business needs of each lab. When a genetic technologist successfully completes all skills, knowledge, proficiency, education and certification requirements within the appropriate time frame for a particular competency level, his/her salary would be adjusted to the entry point for the competency level he/she has completed.
Collapse
Affiliation(s)
- P A Lennon
- Molecular Genetic Technology Program, School of Health Professions, University of Texas at Houston, Texas
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
40
|
Li J, Bowman C, Fazel-Rezai R, Hewko M, Choo-Smith LP. Speckle reduction and lesion segmentation of OCT tooth images for early caries detection. Annu Int Conf IEEE Eng Med Biol Soc 2010; 2009:1449-52. [PMID: 20183939 DOI: 10.1109/iembs.2009.5332916] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
The significance of identifying early non-cavitated carious lesions and monitoring the lesion extent has led to increasing prospects for prevention, early diagnosis, and implementation of conservative treatments. This paper emphasizes the importance of speckle reduction and possible lesion segmentation options of optical coherence tomography (OCT) images prior to caries detection. First, a comparison of popular speckle reduction filters is presented. These filtering algorithms were evaluated to measure the ability of different methods for reducing background noise from raw images. Both qualitative and quantitative results (signal-to-noise ratio, contrast-to-noise ratio) are reported. Image segmentation is then applied to multiple tooth images. With proper thresholding, high intensity response regions are outlined with the possibility of assessing caries and monitoring its regression. Our results show that a rotating kernel transformation (RKT) filter with 9x9 kernel size provides a good compromise between noise reduction yet preserving the pathological features of interest as required for subsequent feature segmentation analyses.
Collapse
Affiliation(s)
- Jialin Li
- Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Manitoba, Canada, R3T 5V6.
| | | | | | | | | |
Collapse
|
41
|
Abstract
In this study vinyl ester monomers were synthesized by an amine catalyzed Michael addition reaction between a multifunctional thiol and the acrylate double bond of vinyl acrylate. The copolymerization behavior of both methacrylate/vinyl ester and acrylate/vinyl ester systems was studied with near-infrared spectroscopy. In acrylate/vinyl ester systems, the acrylate groups polymerize faster than the vinyl ester groups resulting in an overall conversion of 80% for acrylate double bonds in the acrylate/vinyl ester system relative to only 50% in the bulk acrylate system. In the methacrylate/vinyl ester systems, the difference in reactivity is even more pronounced resulting in two distinguishable polymerization regimes, one dominated by methacrylate polymerization and a second dominated by vinyl ester polymerization. A faster polymerization rate and higher overall conversion of the methacrylate double bonds is thus achieved relative to polymerization of the pure methacrylate system. The methacrylate conversion in the methacrylate/vinyl ester system is near 100% compared to only ~60% in the pure methacrylate system. Utilizing hydrophilic vinyl ester and hydrophobic methacrylate monomers, polymerization-induced phase separation is observed. The phase separated domain size is on the order of ~1 μm under the polymerization conditions. The phase separated domains become larger and more distinct with slower polymerization and correspondingly increased time for diffusion.
Collapse
Affiliation(s)
- Taiyeon Lee
- University of Colorado, Department of Chemical and Biological Engineering, Boulder, CO 80309
| | | | | | | | | |
Collapse
|
42
|
Lix LM, Yogendran MS, Leslie WD, Shaw SY, Baumgartner R, Bowman C, Metge C, Gumel A, Hux J, James RC. Using multiple data features improved the validity of osteoporosis case ascertainment from administrative databases. J Clin Epidemiol 2008; 61:1250-1260. [PMID: 18619800 DOI: 10.1016/j.jclinepi.2008.02.002] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2007] [Revised: 01/26/2008] [Accepted: 02/04/2008] [Indexed: 10/21/2022]
Abstract
OBJECTIVES The aim was to construct and validate algorithms for osteoporosis case ascertainment from administrative databases and to estimate the population prevalence of osteoporosis for these algorithms. STUDY DESIGN AND SETTING Artificial neural networks, classification trees, and logistic regression were applied to hospital, physician, and pharmacy data from Manitoba, Canada. Discriminative performance and calibration (i.e., error) were compared for algorithms defined from different sets of diagnosis, prescription drug, comorbidity, and demographic variables. Algorithms were validated against a regional bone mineral density testing program. RESULTS Discriminative performance and calibration were poorer and sensitivity was generally lower for algorithms based on diagnosis codes alone than for algorithms based on an expanded set of data features that included osteoporosis prescriptions and age. Validation measures were similar for neural networks and classification trees, but prevalence estimates were lower for the former model. CONCLUSION Multiple features of administrative data generally resulted in improved sensitivity of osteoporosis case-detection algorithm without loss of specificity. However, prevalence estimates using an expanded set of features were still slightly lower than estimates from a population-based study with primary data collection. The classification methods developed in this study can be extended to other chronic diseases for which there may be multiple markers in administrative data.
Collapse
Affiliation(s)
- Lisa M Lix
- Manitoba Centre for Health Policy, University of Manitoba, Canada; Department of Community Health Sciences, University of Manitoba, Canada.
| | | | | | - Souradet Y Shaw
- Department of Community Health Sciences, University of Manitoba, Canada
| | | | - Christopher Bowman
- Department of Electrical and Computer Engineering, University of Manitoba, Canada; Institute for Biodiagnostics, National Research Council, Winnipeg, Canada
| | - Colleen Metge
- Manitoba Centre for Health Policy, University of Manitoba, Canada; Faculty of Pharmacy, University of Manitoba, Canada
| | - Abba Gumel
- Department of Mathematics, University of Manitoba, Canada
| | - Janet Hux
- Institute for Clinical Evaluative Sciences, Toronto, Canada
| | - Robert C James
- Private Scholar, Salt Spring Island, British Columbia, Canada
| |
Collapse
|
43
|
|
44
|
Morrissey Y, Bowman C, Carpenter I. Assessment of patients in long-term care should be used to improve quality as well as allocate funds. Age Ageing 2006; 35:212-4. [PMID: 16638763 DOI: 10.1093/ageing/afj086] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
45
|
Bowman C, Gumel AB, van den Driessche P, Wu J, Zhu H. A mathematical model for assessing control strategies against West Nile virus. Bull Math Biol 2005; 67:1107-33. [PMID: 15998497 DOI: 10.1016/j.bulm.2005.01.002] [Citation(s) in RCA: 192] [Impact Index Per Article: 10.1] [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: 11/12/2003] [Revised: 10/15/2004] [Accepted: 01/13/2005] [Indexed: 11/28/2022]
Abstract
Since its incursion into North America in 1999, West Nile virus (WNV) has spread rapidly across the continent resulting in numerous human infections and deaths. Owing to the absence of an effective diagnostic test and therapeutic treatment against WNV, public health officials have focussed on the use of preventive measures in an attempt to halt the spread of WNV in humans. The aim of this paper is to use mathematical modelling and analysis to assess two main anti-WNV preventive strategies, namely: mosquito reduction strategies and personal protection. We propose a single-season ordinary differential equation model for the transmission dynamics of WNV in a mosquito-bird-human community, with birds as reservoir hosts and culicine mosquitoes as vectors. The model exhibits two equilibria; namely the disease-free equilibrium and a unique endemic equilibrium. Stability analysis of the model shows that the disease-free equilibrium is globally asymptotically stable if a certain threshold quantity (R0), which depends solely on parameters associated with the mosquito-bird cycle, is less than unity. The public health implication of this is that WNV can be eradicated from the mosquito-bird cycle (and, consequently, from the human population) if the adopted mosquito reduction strategy (or strategies) can make R0<1. On the other hand, it is shown, using a novel and robust technique that is based on the theory of monotone dynamical systems coupled with a regular perturbation argument and a Liapunov function, that if R0>1, then the unique endemic equilibrium is globally stable for small WNV-induced avian mortality. Thus, in this case, WNV persists in the mosquito-bird population.
Collapse
Affiliation(s)
- C Bowman
- Institute for Biodiagnostics, National Research Council Canada, Winnipeg, Manitoba, R3B 1Y6, Canada
| | | | | | | | | |
Collapse
|
46
|
Abstract
The genetic control of self-incompatibility in Brassica napus was investigated using crosses between resynthesized lines of B. napus and cultivars of oilseed rape. These crosses introduced eight C-genome S alleles from Brassica oleracea (S16, S22, S23, S25, S29, S35, S60, and S63) and one A-genome S allele from Brassica rapa (SRM29) into winter oilseed rape. The inheritance of S alleles was monitored using genetic markers and S phenotypes were determined in the F1, F2, first backcross (B1), and testcross (T1) generations. Two different F1 hybrids were used to develop populations of doubled haploid lines that were subjected to genetic mapping and scored for S phenotype. These investigations identified a latent S allele in at least two oilseed rape cultivars and indicated that the S phenotype of these latent alleles was masked by a suppressor system common to oilseed rape. These latent S alleles may be widespread in oilseed rape varieties and are possibly associated with the highly conserved C-genome S locus of these crop types. Segregation for S phenotype in subpopulations uniform for S genotype suggests the existence of suppressor loci that influenced the expression of the S phenotype. These suppressor loci were not linked to the S loci and possessed suppressing alleles in oilseed rape and non-suppressing alleles in the diploid parents of resynthesized B. napus lines.
Collapse
Affiliation(s)
- U U Ekuere
- John Innes Centre, Norwich Research Park, UK.
| | | | | | | | | |
Collapse
|
47
|
Booth S, Bowman C, Baumgartner R, Dolenko B, Sorensen G, Robertson C, Coulthart M, Phillipson C, Somorjai R. Molecular classification of scrapie strains in mice using gene expression profiling. Biochem Biophys Res Commun 2004; 325:1339-45. [PMID: 15555574 DOI: 10.1016/j.bbrc.2004.10.150] [Citation(s) in RCA: 27] [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] [Received: 10/05/2004] [Indexed: 11/18/2022]
Abstract
Transmissible spongiform encephalopathy strains demonstrate specific prion characteristics, each with specific incubation times, and strain-specific patterns of deposition of the misfolded isoform of prion, PrPSc, in the brains of infected individuals. Different biochemical properties, including glycosylation profiles and the degree of proteinase resistance, have been shown to be strain-specific. However, no relationship between these properties and the phenotypic differences in the subsequent diseases has as yet been determined. Here we explore the utility of gene expression profiles to identify differences in the host response to different strains of prion agent. We identify 114 genes that exhibit significantly different levels of expression in mice infected with three strains of scrapie. These genes represent a pool of genes involved in a strain-specific response to prion disease. We have identified the most discriminatory genes from this list utilizing a wrapper-based feature selection algorithm with external cross-validation.
Collapse
Affiliation(s)
- Stephanie Booth
- Division of Host Genetics and Prion Diseases, National Microbiology Laboratory, 1015 Arlington Street, Health Canada, Winnipeg, Man., Canada.
| | | | | | | | | | | | | | | | | |
Collapse
|
48
|
Booth S, Bowman C, Baumgartner R, Sorensen G, Robertson C, Coulthart M, Phillipson C, Somorjai RL. Identification of central nervous system genes involved in the host response to the scrapie agent during preclinical and clinical infection. J Gen Virol 2004; 85:3459-3471. [PMID: 15483264 DOI: 10.1099/vir.0.80110-0] [Citation(s) in RCA: 68] [Impact Index Per Article: 3.4] [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: 01/20/2023] Open
Abstract
Genes that are expressed differentially in the central nervous system of mice during infection with mouse-adapted scrapie agents were identified in this study. cDNA microarrays were used to examine gene-expression profiles at early, middle (preclinical) and late (clinical) time points after inoculation. A number of genes that showed significant changes in expression during the clinical stage of disease were identified. Of these, 138 were upregulated and 20 were downregulated. A smaller number of genes showed differential expression at the early and middle stages of the disease time course. These genes are interesting, as they may reflect biological processes that are involved in the molecular pathogenesis of the prion agent. At present, little is known about the early events in the disease process that trigger neurodegeneration. Perhaps most interestingly, one group of genes that exhibited decreased expression in all tested stages of the disease was identified in this study. This cluster included four transcripts representing haematopoietic system-related genes, which suggests that the haematopoietic system is involved in the disease process from an early stage.
Collapse
Affiliation(s)
- Stephanie Booth
- Division of Host Genetics and Prion Diseases, National Microbiology Laboratory, Health Canada, Winnipeg, MB, Canada R3E 3R2
| | - Christopher Bowman
- Institute for Biodiagnostics, National Research Council Canada, Winnipeg, MB, Canada R3B 1Y6
| | - Richard Baumgartner
- Institute for Biodiagnostics, National Research Council Canada, Winnipeg, MB, Canada R3B 1Y6
| | - Garrett Sorensen
- Division of Host Genetics and Prion Diseases, National Microbiology Laboratory, Health Canada, Winnipeg, MB, Canada R3E 3R2
| | - Catherine Robertson
- Division of Host Genetics and Prion Diseases, National Microbiology Laboratory, Health Canada, Winnipeg, MB, Canada R3E 3R2
| | - Michael Coulthart
- Division of Host Genetics and Prion Diseases, National Microbiology Laboratory, Health Canada, Winnipeg, MB, Canada R3E 3R2
| | - Clark Phillipson
- Division of Host Genetics and Prion Diseases, National Microbiology Laboratory, Health Canada, Winnipeg, MB, Canada R3E 3R2
| | - Rajmund L Somorjai
- Institute for Biodiagnostics, National Research Council Canada, Winnipeg, MB, Canada R3B 1Y6
| |
Collapse
|
49
|
Bowman C. Infection Management for Geriatrics in Long-term Care Facilities Edited by Thomas T. Yoshikawa and Joseph G. Ouslander New York: Marcel Dekker, 2002. 493 pp, ISBN 0-8247-0784-2. $145.00. Age Ageing 2004. [DOI: 10.1093/ageing/afh166] [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: 11/14/2022] Open
|
50
|
Baumgartner R, Somorjai R, Bowman C, Sorrell TC, Mountford CE, Himmelreich U. Unsupervised feature dimension reduction for classification of MR spectra. Magn Reson Imaging 2004; 22:251-6. [PMID: 15010118 DOI: 10.1016/j.mri.2003.08.033] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2003] [Revised: 08/27/2003] [Indexed: 11/24/2022]
Abstract
We present an unsupervised feature dimension reduction method for the classification of magnetic resonance spectra. The technique preserves spectral information, important for disease profiling. We propose to use this technique as a preprocessing step for computationally demanding wrapper-based feature subset selection. We show that the classification accuracy on an independent test set can be sustained while achieving considerable feature reduction. Our method is applicable to other classification techniques, such as neural networks, support vector machines, etc.
Collapse
Affiliation(s)
- R Baumgartner
- Institute for Biodiagnostics, National Research Council Canada, Winnipeg, Canada
| | | | | | | | | | | |
Collapse
|