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Purdue MP, Dutta D, Machiela MJ, Gorman BR, Winter T, Okuhara D, Cleland S, Ferreiro-Iglesias A, Scheet P, Liu A, Wu C, Antwi SO, Larkin J, Zequi SC, Sun M, Hikino K, Hajiran A, Lawson KA, Cárcano F, Blanchet O, Shuch B, Nepple KG, Margue G, Sundi D, Diver WR, Folgueira MAAK, van Bokhoven A, Neffa F, Brown KM, Hofmann JN, Rhee J, Yeager M, Cole NR, Hicks BD, Manning MR, Hutchinson AA, Rothman N, Huang WY, Linehan WM, Lori A, Ferragu M, Zidane-Marinnes M, Serrano SV, Magnabosco WJ, Vilas A, Decia R, Carusso F, Graham LS, Anderson K, Bilen MA, Arciero C, Pellegrin I, Ricard S, Scelo G, Banks RE, Vasudev NS, Soomro N, Stewart GD, Adeyoju A, Bromage S, Hrouda D, Gibbons N, Patel P, Sullivan M, Protheroe A, Nugent FI, Fournier MJ, Zhang X, Martin LJ, Komisarenko M, Eisen T, Cunningham SA, Connolly DC, Uzzo RG, Zaridze D, Mukeria A, Holcatova I, Hornakova A, Foretova L, Janout V, Mates D, Jinga V, Rascu S, Mijuskovic M, Savic S, Milosavljevic S, Gaborieau V, Abedi-Ardekani B, McKay J, Johansson M, Phouthavongsy L, Hayman L, Li J, Lungu I, Bezerra SM, Souza AG, Sares CTG, Reis RB, Gallucci FP, Cordeiro MD, Pomerantz M, Lee GSM, Freedman ML, Jeong A, Greenberg SE, Sanchez A, Thompson RH, Sharma V, Thiel DD, Ball CT, Abreu D, Lam ET, Nahas WC, Master VA, Patel AV, Bernhard JC, Freedman ND, Bigot P, Reis RM, Colli LM, Finelli A, Manley BJ, Terao C, Choueiri TK, Carraro DM, Houlston R, Eckel-Passow JE, Abbosh PH, Ganna A, Brennan P, Gu J, Chanock SJ. Multi-ancestry genome-wide association study of kidney cancer identifies 63 susceptibility regions. Nat Genet 2024:10.1038/s41588-024-01725-7. [PMID: 38671320 DOI: 10.1038/s41588-024-01725-7] [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] [Received: 08/08/2023] [Accepted: 03/13/2024] [Indexed: 04/28/2024]
Abstract
Here, in a multi-ancestry genome-wide association study meta-analysis of kidney cancer (29,020 cases and 835,670 controls), we identified 63 susceptibility regions (50 novel) containing 108 independent risk loci. In analyses stratified by subtype, 52 regions (78 loci) were associated with clear cell renal cell carcinoma (RCC) and 6 regions (7 loci) with papillary RCC. Notably, we report a variant common in African ancestry individuals ( rs7629500 ) in the 3' untranslated region of VHL, nearly tripling clear cell RCC risk (odds ratio 2.72, 95% confidence interval 2.23-3.30). In cis-expression quantitative trait locus analyses, 48 variants from 34 regions point toward 83 candidate genes. Enrichment of hypoxia-inducible factor-binding sites underscores the importance of hypoxia-related mechanisms in kidney cancer. Our results advance understanding of the genetic architecture of kidney cancer, provide clues for functional investigation and enable generation of a validated polygenic risk score with an estimated area under the curve of 0.65 (0.74 including risk factors) among European ancestry individuals.
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Affiliation(s)
- Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
| | - Diptavo Dutta
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Mitchell J Machiela
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | | | - Timothy Winter
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | | | | | | | - Paul Scheet
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Aoxing Liu
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Chao Wu
- Biosample Repository, Fox Chase Cancer Center-Temple Health, Philadelphia, PA, USA
| | - Samuel O Antwi
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - James Larkin
- Department of Medical Oncology, Royal Marsden NHS Foundation Trust, London, UK
| | - Stênio C Zequi
- Department of Urology, A.C. Camargo Cancer Center, São Paulo, Brazil
- National Institute for Science and Technology in Oncogenomics and Therapeutic Innovation INCIT-INOTE, São Paulo, Brazil
- Latin American Renal Cancer Group, São Paulo, Brazil
- Department of Surgery, Division of Urology, São Paulo Federal University, São Paulo, Brazil
| | - Maxine Sun
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Keiko Hikino
- Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Ali Hajiran
- Department of Urology, Division of Urologic Oncology, West Virginia University Cancer Institute, Morgantown, WV, USA
| | - Keith A Lawson
- Department of Surgical Oncology, Division of Urology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Flavio Cárcano
- Department of Medical Oncology, Barretos Cancer Hospital, Barretos, Brazil
| | | | - Brian Shuch
- Department of Urology, UCLA Jonsson Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Kenneth G Nepple
- Department of Urology, Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, USA
| | - Gaëlle Margue
- Department of Urology, CHU Bordeaux, Bordeaux, France
| | - Debasish Sundi
- Department of Urology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - W Ryan Diver
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Maria A A K Folgueira
- Departments of Radiology and Oncology, Comprehensive Center for Precision Oncology-C2PO, Centro de Investigação Translacional em Oncologia, Instituto do Cancer do Estado de São Paulo, Hospital das Clinicas, Faculdade de Medicina Universidade de São Paulo, São Paulo, Brazil
| | - Adrie van Bokhoven
- Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Kevin M Brown
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jongeun Rhee
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Frederick National Laboratory, Rockville, MD, USA
| | - Nathan R Cole
- Cancer Genomics Research Laboratory, Frederick National Laboratory, Rockville, MD, USA
| | - Belynda D Hicks
- Cancer Genomics Research Laboratory, Frederick National Laboratory, Rockville, MD, USA
| | - Michelle R Manning
- Cancer Genomics Research Laboratory, Frederick National Laboratory, Rockville, MD, USA
| | - Amy A Hutchinson
- Cancer Genomics Research Laboratory, Frederick National Laboratory, Rockville, MD, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Wen-Yi Huang
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - W Marston Linehan
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Adriana Lori
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | | | | | - Sérgio V Serrano
- Department of Medical Oncology, Barretos Cancer Hospital, Barretos, Brazil
| | | | - Ana Vilas
- Department of Pathology, Hospital Pasteur, Montevideo, Uruguay
| | - Ricardo Decia
- Department of Urology, Hospital Pasteur, Montevideo, Uruguay
| | | | - Laura S Graham
- Department of Medicine, Division of Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kyra Anderson
- Oncology Clinical Research Support Team, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Mehmet A Bilen
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Cletus Arciero
- Department of Surgery, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
| | | | - Solène Ricard
- Department of Urology, CHU Bordeaux, Bordeaux, France
| | - Ghislaine Scelo
- Observational and Pragmatic Research Institute Pte Ltd, Singapore, Singapore
| | - Rosamonde E Banks
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Naveen S Vasudev
- Department of Oncology, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Naeem Soomro
- Department of Urology, Newcastle Hospitals NHS Foundation Trust, Newcastle, UK
| | - Grant D Stewart
- Department of Urology, Western General Hospital, NHS Lothian, Edinburgh, UK
- Department of Surgery, University of Cambridge, Cambridge, UK
| | - Adebanji Adeyoju
- Department of Urology, Stockport NHS Foundation Trust, Stockport, UK
| | - Stephen Bromage
- Department of Urology, Stockport NHS Foundation Trust, Stockport, UK
| | - David Hrouda
- Department of Urology, Imperial College Healthcare NHS Trust, London, UK
| | - Norma Gibbons
- Department of Urology, Imperial College Healthcare NHS Trust, London, UK
| | - Poulam Patel
- Division of Oncology, University of Nottingham, Nottingham, UK
| | - Mark Sullivan
- Department of Urology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Andrew Protheroe
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Francesca I Nugent
- Department of Urology, Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, USA
| | | | - Xiaoyu Zhang
- Department of Surgical Oncology, Division of Urology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Lisa J Martin
- Department of Surgical Oncology, Division of Urology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Maria Komisarenko
- Department of Surgical Oncology, Division of Urology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Timothy Eisen
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Sonia A Cunningham
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Denise C Connolly
- Cancer Signaling and Microenvironment, Biosample Repository Facility, Fox Chase Cancer Center-Temple Health, Philadelphia, PA, USA
| | - Robert G Uzzo
- Department of Urology, Fox Chase Cancer Center-Temple Health, Philadelphia, PA, USA
| | - David Zaridze
- Department of Clinical Epidemiology, N.N. Blokhin National Medical Research Centre of Oncology, Moscow, Russia
| | - Anush Mukeria
- Department of Clinical Epidemiology, N.N. Blokhin National Medical Research Centre of Oncology, Moscow, Russia
| | - Ivana Holcatova
- Institute of Public Health and Preventive Medicine, Second Faculty of Medicine, Charles University, Prague, Czech Republic
- Department of Oncology, Second Faculty of Medicine and University Hospital Motol, Charles University, Prague, Czech Republic
| | - Anna Hornakova
- Institute of Hygiene and Epidemiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Vladimir Janout
- Faculty of Health Sciences, Palacky University, Olomouc, Czech Republic
| | - Dana Mates
- Department of Occupational Health and Toxicology, National Center for Environmental Risk Monitoring, National Institute of Public Health, Bucharest, Romania
| | - Viorel Jinga
- Urology Department, Academy of Romanian Scientists, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Stefan Rascu
- Urology Department, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Mirjana Mijuskovic
- Clinic of Nephrology, Faculty of Medicine, Military Medical Academy, Belgrade, Serbia
| | - Slavisa Savic
- Department of Urology, Clinical Hospital Center Dr Dragisa Misovic Dedinje, Belgrade, Serbia
| | - Sasa Milosavljevic
- International Organisation for Cancer Prevention and Research, Belgrade, Serbia
| | - Valérie Gaborieau
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | | | - James McKay
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Mattias Johansson
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Larry Phouthavongsy
- Ontario Tumour Bank, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Lindsay Hayman
- Diagnostic Development Program, Tissue Portal, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Jason Li
- Diagnostic Development Program, Tissue Portal, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Ilinca Lungu
- Ontario Tumour Bank, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Diagnostic Development Program, Tissue Portal, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | | | - Aline G Souza
- Departments of Medical Imaging, Hematology and Oncology, Division of Medical Oncology, Ribeirao Preto Medical School, University of São Paulo, Ribeirao Preto, Brazil
| | - Claudia T G Sares
- Departments of Surgery and Anatomy, Division of Urology, Ribeirao Preto Medical School, University of São Paulo, Ribeirao Preto, Brazil
| | - Rodolfo B Reis
- Departments of Surgery and Anatomy, Division of Urology, Ribeirao Preto Medical School, University of São Paulo, Ribeirao Preto, Brazil
| | - Fabio P Gallucci
- Surgery Department, Urology Division, Instituto do Cancer do Estado de São Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Mauricio D Cordeiro
- Surgery Department, Urology Division, Instituto do Cancer do Estado de São Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | | | - Gwo-Shu M Lee
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Matthew L Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Dana-Farber Cancer Institute, Boston, MA, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Anhyo Jeong
- Department of Urology, UCLA Jonsson Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Samantha E Greenberg
- Department of Population Sciences, Genetic Counseling Shared Resource, Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Alejandro Sanchez
- Department of Surgery, Division of Urology, Huntsman Cancer Institute and University of Utah, Salt Lake City, UT, USA
| | | | - Vidit Sharma
- Department of Urology, Mayo Clinic, Rochester, MN, USA
| | - David D Thiel
- Department of Urology, Mayo Clinic, Jacksonville, FL, USA
| | - Colleen T Ball
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Diego Abreu
- Department of Urology, Hospital Pasteur, Montevideo, Uruguay
| | - Elaine T Lam
- Department of Medicine, Division of Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - William C Nahas
- Surgery Department, Urology Division, Instituto do Cancer do Estado de São Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Viraj A Master
- Department of Urology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Alpa V Patel
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | | | - Neal D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Pierre Bigot
- Department of Urology, CHU Angers, Angers, France
| | - Rui M Reis
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
| | - Leandro M Colli
- Departament of Medical Image, Hematology and Oncology, Division of Medical Oncology, Ribeirao Preto Medical School, University of São Paulo, Ribeirao Preto, Brazil
| | - Antonio Finelli
- Department of Surgical Oncology, Division of Urology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Brandon J Manley
- Genitourinary Oncology Program, Moffitt Cancer Center, Tampa, FL, USA
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Toni K Choueiri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Dirce M Carraro
- Clinical and Functional Genomics Group, CIPE (International Research Center), A.C. Camargo Cancer Center, São Paulo, Brazil
| | - Richard Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, UK
| | | | - Philip H Abbosh
- Department of Nuclear Dynamics and Cancer, Fox Chase Cancer Center-Temple Health, Philadelphia, PA, USA
| | - Andrea Ganna
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Jian Gu
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Stephen J Chanock
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
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Smith JG, Anderson K, Clarke G, Crowe C, Goldsmith LP, Jarman H, Johnson S, Lomani J, McDaid D, Park A, Turner K, Gillard S. The effect of psychiatric decision unit services on inpatient admissions and mental health presentations in emergency departments: an interrupted time series analysis from two cities and one rural area in England - CORRIGENDUM. Epidemiol Psychiatr Sci 2024; 33:e24. [PMID: 38605576 PMCID: PMC11022248 DOI: 10.1017/s2045796024000271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/13/2024] Open
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3
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Rosenberg E, Andersen TI, Samajdar R, Petukhov A, Hoke JC, Abanin D, Bengtsson A, Drozdov IK, Erickson C, Klimov PV, Mi X, Morvan A, Neeley M, Neill C, Acharya R, Allen R, Anderson K, Ansmann M, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Bilmes A, Bortoli G, Bourassa A, Bovaird J, Brill L, Broughton M, Buckley BB, Buell DA, Burger T, Burkett B, Bushnell N, Campero J, Chang HS, Chen Z, Chiaro B, Chik D, Cogan J, Collins R, Conner P, Courtney W, Crook AL, Curtin B, Debroy DM, Barba ADT, Demura S, Di Paolo A, Dunsworth A, Earle C, Faoro L, Farhi E, Fatemi R, Ferreira VS, Burgos LF, Forati E, Fowler AG, Foxen B, Garcia G, Genois É, Giang W, Gidney C, Gilboa D, Giustina M, Gosula R, Dau AG, Gross JA, Habegger S, Hamilton MC, Hansen M, Harrigan MP, Harrington SD, Heu P, Hill G, Hoffmann MR, Hong S, Huang T, Huff A, Huggins WJ, Ioffe LB, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Juhas P, Kafri D, Khattar T, Khezri M, Kieferová M, Kim S, Kitaev A, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Laws L, Lee J, Lee KW, Lensky YD, Lester BJ, Lill AT, Liu W, Locharla A, Mandrà S, Martin O, Martin S, McClean JR, McEwen M, Meeks S, Miao KC, Mieszala A, Montazeri S, Movassagh R, Mruczkiewicz W, Nersisyan A, Newman M, Ng JH, Nguyen A, Nguyen M, Niu MY, O'Brien TE, Omonije S, Opremcak A, Potter R, Pryadko LP, Quintana C, Rhodes DM, Rocque C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schurkus HF, Schuster C, Shearn MJ, Shorter A, Shutty N, Shvarts V, Sivak V, Skruzny J, Smith WC, Somma RD, Sterling G, Strain D, Szalay M, Thor D, Torres A, Vidal G, Villalonga B, Heidweiller CV, White T, Woo BWK, Xing C, Yao ZJ, Yeh P, Yoo J, Young G, Zalcman A, Zhang Y, Zhu N, Zobrist N, Neven H, Babbush R, Bacon D, Boixo S, Hilton J, Lucero E, Megrant A, Kelly J, Chen Y, Smelyanskiy V, Khemani V, Gopalakrishnan S, Prosen T, Roushan P. Dynamics of magnetization at infinite temperature in a Heisenberg spin chain. Science 2024; 384:48-53. [PMID: 38574139 DOI: 10.1126/science.adi7877] [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] [Received: 05/18/2023] [Accepted: 03/01/2024] [Indexed: 04/06/2024]
Abstract
Understanding universal aspects of quantum dynamics is an unresolved problem in statistical mechanics. In particular, the spin dynamics of the one-dimensional Heisenberg model were conjectured as to belong to the Kardar-Parisi-Zhang (KPZ) universality class based on the scaling of the infinite-temperature spin-spin correlation function. In a chain of 46 superconducting qubits, we studied the probability distribution of the magnetization transferred across the chain's center, [Formula: see text]. The first two moments of [Formula: see text] show superdiffusive behavior, a hallmark of KPZ universality. However, the third and fourth moments ruled out the KPZ conjecture and allow for evaluating other theories. Our results highlight the importance of studying higher moments in determining dynamic universality classes and provide insights into universal behavior in quantum systems.
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Affiliation(s)
- E Rosenberg
- Google Research, Mountain View, CA, USA
- Department of Physics, Cornell University, Ithaca, NY, USA
| | | | - R Samajdar
- Department of Physics, Princeton University, Princeton, NJ, USA
- Princeton Center for Theoretical Science, Princeton University, Princeton, NJ, USA
| | | | - J C Hoke
- Department of Physics, Stanford University, Stanford, CA, USA
| | - D Abanin
- Google Research, Mountain View, CA, USA
| | | | - I K Drozdov
- Google Research, Mountain View, CA, USA
- Department of Physics, University of Connecticut, Storrs, CT, USA
| | | | | | - X Mi
- Google Research, Mountain View, CA, USA
| | - A Morvan
- Google Research, Mountain View, CA, USA
| | - M Neeley
- Google Research, Mountain View, CA, USA
| | - C Neill
- Google Research, Mountain View, CA, USA
| | - R Acharya
- Google Research, Mountain View, CA, USA
| | - R Allen
- Google Research, Mountain View, CA, USA
| | | | - M Ansmann
- Google Research, Mountain View, CA, USA
| | - F Arute
- Google Research, Mountain View, CA, USA
| | - K Arya
- Google Research, Mountain View, CA, USA
| | - A Asfaw
- Google Research, Mountain View, CA, USA
| | - J Atalaya
- Google Research, Mountain View, CA, USA
| | - J C Bardin
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | - A Bilmes
- Google Research, Mountain View, CA, USA
| | - G Bortoli
- Google Research, Mountain View, CA, USA
| | | | - J Bovaird
- Google Research, Mountain View, CA, USA
| | - L Brill
- Google Research, Mountain View, CA, USA
| | | | | | - D A Buell
- Google Research, Mountain View, CA, USA
| | - T Burger
- Google Research, Mountain View, CA, USA
| | - B Burkett
- Google Research, Mountain View, CA, USA
| | | | - J Campero
- Google Research, Mountain View, CA, USA
| | - H-S Chang
- Google Research, Mountain View, CA, USA
| | - Z Chen
- Google Research, Mountain View, CA, USA
| | - B Chiaro
- Google Research, Mountain View, CA, USA
| | - D Chik
- Google Research, Mountain View, CA, USA
| | - J Cogan
- Google Research, Mountain View, CA, USA
| | - R Collins
- Google Research, Mountain View, CA, USA
| | - P Conner
- Google Research, Mountain View, CA, USA
| | | | - A L Crook
- Google Research, Mountain View, CA, USA
| | - B Curtin
- Google Research, Mountain View, CA, USA
| | | | | | - S Demura
- Google Research, Mountain View, CA, USA
| | | | | | - C Earle
- Google Research, Mountain View, CA, USA
| | - L Faoro
- Google Research, Mountain View, CA, USA
| | - E Farhi
- Google Research, Mountain View, CA, USA
| | - R Fatemi
- Google Research, Mountain View, CA, USA
| | | | | | - E Forati
- Google Research, Mountain View, CA, USA
| | | | - B Foxen
- Google Research, Mountain View, CA, USA
| | - G Garcia
- Google Research, Mountain View, CA, USA
| | - É Genois
- Google Research, Mountain View, CA, USA
| | - W Giang
- Google Research, Mountain View, CA, USA
| | - C Gidney
- Google Research, Mountain View, CA, USA
| | - D Gilboa
- Google Research, Mountain View, CA, USA
| | | | - R Gosula
- Google Research, Mountain View, CA, USA
| | | | - J A Gross
- Google Research, Mountain View, CA, USA
| | | | - M C Hamilton
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA
| | - M Hansen
- Google Research, Mountain View, CA, USA
| | | | | | - P Heu
- Google Research, Mountain View, CA, USA
| | - G Hill
- Google Research, Mountain View, CA, USA
| | | | - S Hong
- Google Research, Mountain View, CA, USA
| | - T Huang
- Google Research, Mountain View, CA, USA
| | - A Huff
- Google Research, Mountain View, CA, USA
| | | | - L B Ioffe
- Google Research, Mountain View, CA, USA
| | | | - J Iveland
- Google Research, Mountain View, CA, USA
| | - E Jeffrey
- Google Research, Mountain View, CA, USA
| | - Z Jiang
- Google Research, Mountain View, CA, USA
| | - C Jones
- Google Research, Mountain View, CA, USA
| | - P Juhas
- Google Research, Mountain View, CA, USA
| | - D Kafri
- Google Research, Mountain View, CA, USA
| | - T Khattar
- Google Research, Mountain View, CA, USA
| | - M Khezri
- Google Research, Mountain View, CA, USA
| | - M Kieferová
- Google Research, Mountain View, CA, USA
- QSI, Faculty of Engineering & Information Technology, University of Technology Sydney, Ultimo, NSW, Australia
| | - S Kim
- Google Research, Mountain View, CA, USA
| | - A Kitaev
- Google Research, Mountain View, CA, USA
| | - A R Klots
- Google Research, Mountain View, CA, USA
| | - A N Korotkov
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | | | | | - P Laptev
- Google Research, Mountain View, CA, USA
| | - K-M Lau
- Google Research, Mountain View, CA, USA
| | - L Laws
- Google Research, Mountain View, CA, USA
| | - J Lee
- Google Research, Mountain View, CA, USA
- Department of Chemistry, Columbia University, New York, NY, USA
| | - K W Lee
- Google Research, Mountain View, CA, USA
| | | | | | - A T Lill
- Google Research, Mountain View, CA, USA
| | - W Liu
- Google Research, Mountain View, CA, USA
| | | | - S Mandrà
- Google Research, Mountain View, CA, USA
| | - O Martin
- Google Research, Mountain View, CA, USA
| | - S Martin
- Google Research, Mountain View, CA, USA
| | | | - M McEwen
- Google Research, Mountain View, CA, USA
| | - S Meeks
- Google Research, Mountain View, CA, USA
| | - K C Miao
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - M Newman
- Google Research, Mountain View, CA, USA
| | - J H Ng
- Google Research, Mountain View, CA, USA
| | - A Nguyen
- Google Research, Mountain View, CA, USA
| | - M Nguyen
- Google Research, Mountain View, CA, USA
| | - M Y Niu
- Google Research, Mountain View, CA, USA
| | | | - S Omonije
- Google Research, Mountain View, CA, USA
| | | | - R Potter
- Google Research, Mountain View, CA, USA
| | - L P Pryadko
- Department of Physics and Astronomy, University of California, Riverside, CA, USA
| | | | | | - C Rocque
- Google Research, Mountain View, CA, USA
| | - N C Rubin
- Google Research, Mountain View, CA, USA
| | - N Saei
- Google Research, Mountain View, CA, USA
| | - D Sank
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - A Shorter
- Google Research, Mountain View, CA, USA
| | - N Shutty
- Google Research, Mountain View, CA, USA
| | - V Shvarts
- Google Research, Mountain View, CA, USA
| | - V Sivak
- Google Research, Mountain View, CA, USA
| | - J Skruzny
- Google Research, Mountain View, CA, USA
| | | | - R D Somma
- Google Research, Mountain View, CA, USA
| | | | - D Strain
- Google Research, Mountain View, CA, USA
| | - M Szalay
- Google Research, Mountain View, CA, USA
| | - D Thor
- Google Research, Mountain View, CA, USA
| | - A Torres
- Google Research, Mountain View, CA, USA
| | - G Vidal
- Google Research, Mountain View, CA, USA
| | | | | | - T White
- Google Research, Mountain View, CA, USA
| | - B W K Woo
- Google Research, Mountain View, CA, USA
| | - C Xing
- Google Research, Mountain View, CA, USA
| | | | - P Yeh
- Google Research, Mountain View, CA, USA
| | - J Yoo
- Google Research, Mountain View, CA, USA
| | - G Young
- Google Research, Mountain View, CA, USA
| | - A Zalcman
- Google Research, Mountain View, CA, USA
| | - Y Zhang
- Google Research, Mountain View, CA, USA
| | - N Zhu
- Google Research, Mountain View, CA, USA
| | - N Zobrist
- Google Research, Mountain View, CA, USA
| | - H Neven
- Google Research, Mountain View, CA, USA
| | - R Babbush
- Google Research, Mountain View, CA, USA
| | - D Bacon
- Google Research, Mountain View, CA, USA
| | - S Boixo
- Google Research, Mountain View, CA, USA
| | - J Hilton
- Google Research, Mountain View, CA, USA
| | - E Lucero
- Google Research, Mountain View, CA, USA
| | - A Megrant
- Google Research, Mountain View, CA, USA
| | - J Kelly
- Google Research, Mountain View, CA, USA
| | - Y Chen
- Google Research, Mountain View, CA, USA
| | | | - V Khemani
- Department of Physics, Stanford University, Stanford, CA, USA
| | | | - T Prosen
- Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia
| | - P Roushan
- Google Research, Mountain View, CA, USA
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4
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Howard K, Garvey G, Anderson K, Dickson M, Viney R, Ratcliffe J, Howell M, Gall A, Cunningham J, Whop LJ, Cass A, Jaure A, Mulhern B. Development of the What Matters 2 Adults (WM2A) wellbeing measure for Aboriginal and Torres Strait Islander adults. Soc Sci Med 2024; 347:116694. [PMID: 38569315 DOI: 10.1016/j.socscimed.2024.116694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 01/30/2024] [Accepted: 02/12/2024] [Indexed: 04/05/2024]
Abstract
PURPOSE As wellbeing is culturally bound, wellbeing measures for Aboriginal and Torres Strait Islander peoples must be culturally relevant and grounded in Aboriginal and Torres Strait Islander values and preferences. We describe the development of a nationally-relevant and culturally grounded wellbeing measure for Aboriginal and Torres Strait Islander adults: the What Matters to Adults (WM2A) measure. METHODS We used a mixed methods approach to measure development, combining Indigenist methodologies and psychometric methods. Candidate items were derived through a large national qualitative study. Think-aloud interviews (n = 17) were conducted to assess comprehension, acceptability, and wording of candidate items. Two national surveys collected data on the item pool (n = 312, n = 354). Items were analysed using exploratory factor analysis (EFA), and item response theory (IRT) to test dimensionality, local dependence and item fit. A Collaborative Yarning approach ensured Aboriginal and Torres Strait Islander voices were privileged throughout. RESULTS Fifty candidate items were developed, refined, and tested. Using EFA, an eight factor model was developed. All items met pre-specified thresholds for maximum endorsement frequencies, and floor and ceiling effects; no item redundancy was identified. Ten items did not meet thresholds for aggregate adjacent endorsement frequencies. During Collaborative Yarning, six items were removed based on low factor loadings (<0.4) and twelve due to conceptual overlap, high correlations with other items, endorsement frequencies, and/or low IRT item level information. Several items were retained for content validity. The final measure includes 32 items across 10 domains (Balance & control; Hope & resilience; Caring for others; Culture & Country; Spirit & identity; Feeling valued; Connection with others; Access; Racism & worries; Pride & strength). CONCLUSIONS The unique combination of Indigenist and psychometric methodologies to develop WM2A ensures a culturally and psychometrically robust measure, relevant across a range of settings and applications.
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Affiliation(s)
- K Howard
- Menzies Centre for Health Policy and Economics, Faculty of Medicine and Health, University of Sydney, NSW, 2006, Australia; Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, NSW, 2006, Australia.
| | - G Garvey
- The First Nations Cancer & Wellbeing Research Team, The School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane Qld 4072, Australia
| | - K Anderson
- The First Nations Cancer & Wellbeing Research Team, The School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane Qld 4072, Australia
| | - M Dickson
- Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, NSW, 2006, Australia; The Poche Centre for Indigenous Health, Faculty of Medicine and Health, University of Sydney, NSW, 2006, Australia
| | - R Viney
- The Centre for Health Economics Research and Evaluation (CHERE), University of Technology Sydney, Ultimo, NSW, 2007, Australia
| | - J Ratcliffe
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, 5001, Australia
| | - M Howell
- Menzies Centre for Health Policy and Economics, Faculty of Medicine and Health, University of Sydney, NSW, 2006, Australia; Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, NSW, 2006, Australia
| | - A Gall
- The First Nations Cancer & Wellbeing Research Team, The School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane Qld 4072, Australia
| | - J Cunningham
- Menzies School of Health Research, Charles Darwin University, Darwin NT, Australia
| | - L J Whop
- National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, ACT, 2600, Australia
| | - A Cass
- Menzies School of Health Research, Charles Darwin University, Darwin NT, Australia
| | - A Jaure
- Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, NSW, 2006, Australia
| | - B Mulhern
- The Centre for Health Economics Research and Evaluation (CHERE), University of Technology Sydney, Ultimo, NSW, 2007, Australia
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5
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Smith JG, Anderson K, Clarke G, Crowe C, Goldsmith LP, Jarman H, Johnson S, Lomani J, McDaid D, Park AL, Turner K, Gillard S. The effect of psychiatric decision unit services on inpatient admissions and mental health presentations in emergency departments: an interrupted time series analysis from two cities and one rural area in England. Epidemiol Psychiatr Sci 2024; 33:e15. [PMID: 38512000 DOI: 10.1017/s2045796024000209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/22/2024] Open
Abstract
AIMS High-quality evidence is lacking for the impact on healthcare utilisation of short-stay alternatives to psychiatric inpatient services for people experiencing acute and/or complex mental health crises (known in England as psychiatric decision units [PDUs]). We assessed the extent to which changes in psychiatric hospital and emergency department (ED) activity were explained by implementation of PDUs in England using a quasi-experimental approach. METHODS We conducted an interrupted time series (ITS) analysis of weekly aggregated data pre- and post-PDU implementation in one rural and two urban sites using segmented regression, adjusting for temporal and seasonal trends. Primary outcomes were changes in the number of voluntary inpatient admissions to (acute) adult psychiatric wards and number of ED adult mental health-related attendances in the 24 months post-PDU implementation compared to that in the 24 months pre-PDU implementation. RESULTS The two PDUs (one urban and one rural) with longer (average) stays and high staff-to-patient ratios observed post-PDU decreases in the pattern of weekly voluntary psychiatric admissions relative to pre-PDU trend (Rural: -0.45%/week, 95% confidence interval [CI] = -0.78%, -0.12%; Urban: -0.49%/week, 95% CI = -0.73%, -0.25%); PDU implementation in each was associated with an estimated 35-38% reduction in total voluntary admissions in the post-PDU period. The (urban) PDU with the highest throughput, lowest staff-to-patient ratio and shortest average stay observed a 20% (-20.4%, CI = -29.7%, -10.0%) level reduction in mental health-related ED attendances post-PDU, although there was little impact on long-term trend. Pooled analyses across sites indicated a significant reduction in the number of voluntary admissions following PDU implementation (-16.6%, 95% CI = -23.9%, -8.5%) but no significant (long-term) trend change (-0.20%/week, 95% CI = -0.74%, 0.34%) and no short- (-2.8%, 95% CI = -19.3%, 17.0%) or long-term (0.08%/week, 95% CI = -0.13, 0.28%) effects on mental health-related ED attendances. Findings were largely unchanged in secondary (ITS) analyses that considered the introduction of other service initiatives in the study period. CONCLUSIONS The introduction of PDUs was associated with an immediate reduction of voluntary psychiatric inpatient admissions. The extent to which PDUs change long-term trends of voluntary psychiatric admissions or impact on psychiatric presentations at ED may be linked to their configuration. PDUs with a large capacity, short length of stay and low staff-to-patient ratio can positively impact ED mental health presentations, while PDUs with longer length of stay and higher staff-to-patient ratios have potential to reduce voluntary psychiatric admissions over an extended period. Taken as a whole, our analyses suggest that when establishing a PDU, consideration of the primary crisis-care need that underlies the creation of the unit is key.
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Affiliation(s)
- J G Smith
- Population Health Research Institute, St George's, University of London, London, UK
- Clinical Research Unit, South West London & St George's Mental Health Trust, Springfield University Hospital, London, UK
| | - K Anderson
- Department of Psychology, Middlesex University, London, UK
| | - G Clarke
- Improvement Analytics Unit, The Health Foundation, London, UK
| | - C Crowe
- Sunflowers Court Inpatient Unit, North East London NHS Foundation Trust, Goodmayes Hospital, Ilford, UK
| | - L P Goldsmith
- Population Health Research Institute, St George's, University of London, London, UK
| | - H Jarman
- Population Health Research Institute, St George's, University of London, London, UK
- Emergency Department, St George's University Hospitals NHS Foundation Trust, London, UK
| | - S Johnson
- NIHR Mental Health Policy Research Unit, Division of Psychiatry, University College London, London, UK
- Early Intervention Service, Camden and Islington NHS Foundation Trust, London, UK
| | - J Lomani
- NHS England and NHS Improvement, London, UK
| | - D McDaid
- Care Policy and Evaluation Centre, Department of Health Policy, London School of Economics and Political Science, London, UK
| | - A L Park
- Care Policy and Evaluation Centre, Department of Health Policy, London School of Economics and Political Science, London, UK
| | - K Turner
- Population Health Research Institute, St George's, University of London, London, UK
| | - S Gillard
- School of Health and Psychological Sciences, City, University of London, London, UK
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6
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Wilkinson R, Mleczko MM, Brewin RJW, Gaston KJ, Mueller M, Shutler JD, Yan X, Anderson K. Environmental impacts of earth observation data in the constellation and cloud computing era. Sci Total Environ 2024; 909:168584. [PMID: 37979853 DOI: 10.1016/j.scitotenv.2023.168584] [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] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 11/10/2023] [Accepted: 11/12/2023] [Indexed: 11/20/2023]
Abstract
Numbers of Earth Observation (EO) satellites have increased exponentially over the past decade reaching the current population of 1193 (January 2023). Consequently, EO data volumes have mushroomed and data storage and processing have migrated to the cloud. Whilst attention has been given to the launch and in-orbit environmental impacts of satellites, EO data environmental footprints have been overlooked. These issues require urgent attention given data centre water and energy consumption, high carbon emissions for computer component manufacture, and difficulty of recycling computer components. Doing so is essential if the environmental good of EO is to withstand scrutiny. We provide the first assessment of the EO data life-cycle and estimate that the current size of the global EO data collection is ~807 PB, increasing by ~100 PB/year. Storage of this data volume generates annual CO2 equivalent emissions of 4101 t. Major state-funded EO providers use 57 of their own data centres globally, and a further 178 private cloud services, with considerable duplication of datasets across repositories. We explore scenarios for the environmental cost of performing EO functions on the cloud compared to desktop machines. A simple band arithmetic function applied to a Landsat 9 scene using Google Earth Engine (GEE) generated CO2 equivalent (e) emissions of 0.042-0.69 g CO2e (locally) and 0.13-0.45 g CO2e (European data centre; values multiply by nine for Australian data centre). Computation-based emissions scale rapidly for more intense processes and when testing code. When using cloud services such as GEE, users have no choice about the data centre used and we push for EO providers to be more transparent about the location-specific impacts of EO work, and to provide tools for measuring the environmental cost of cloud computation. The EO community as a whole needs to critically consider the broad suite of EO data life-cycle impacts.
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Affiliation(s)
- R Wilkinson
- Environment and Sustainability Institute, University of Exeter, Penryn Campus, Cornwall TR10 9FE, United Kingdom
| | - M M Mleczko
- Environment and Sustainability Institute, University of Exeter, Penryn Campus, Cornwall TR10 9FE, United Kingdom
| | - R J W Brewin
- Department of Earth and Environmental Science, University of Exeter, Penryn Campus, Cornwall TR10 9FE, United Kingdom
| | - K J Gaston
- Environment and Sustainability Institute, University of Exeter, Penryn Campus, Cornwall TR10 9FE, United Kingdom
| | - M Mueller
- Environment and Sustainability Institute, University of Exeter, Penryn Campus, Cornwall TR10 9FE, United Kingdom
| | - J D Shutler
- Department of Earth and Environmental Science, University of Exeter, Penryn Campus, Cornwall TR10 9FE, United Kingdom
| | - X Yan
- Environment and Sustainability Institute, University of Exeter, Penryn Campus, Cornwall TR10 9FE, United Kingdom
| | - K Anderson
- Environment and Sustainability Institute, University of Exeter, Penryn Campus, Cornwall TR10 9FE, United Kingdom.
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7
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Anderson K, Kyerematen B, Lawlis S, Middleman AB. He, she, they, we: gender stories from the heartland - a unique resource for gender diverse youth. Am J Med Sci 2023. [DOI: 10.1016/s0002-9629(23)00523-2] [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: 01/28/2023]
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8
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Nistor P, Chang-Kit B, Nicholson K, Anderson K, Stranges S. The relationship between sleep and multimorbidity in community dwelling populations: a global perspective. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.277] [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: 11/16/2022]
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9
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Manzanares M, Zumrut H, Gera S, Casill A, Anderson K, Geier A, Akerman M, Arun G. SpliceIO™ a novel AI platform for the discovery of splicing-derived immunotherapeutic targets. Eur J Cancer 2022. [DOI: 10.1016/s0959-8049(22)01136-4] [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: 11/03/2022]
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10
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Davidson R, Rysavy N, Callahan K, Weakly N, Anderson K, Jia F, Poch K, Caceres S, Schurr M, Horswill A, Malcolm K, Vestal B, Saavedra M. 518 Targeted sequencing panel simultaneously detects Pseudomonas aeruginosa and Staphylococcus aureus species and antimicrobial resistance profiles from sputum. J Cyst Fibros 2022. [DOI: 10.1016/s1569-1993(22)01208-5] [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: 11/06/2022]
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11
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Lindsay P, Anderson K, Ducharme A, Lee D, McKelvie R, Poon S, Desmarais O, Desbiens M, Virani S. THE STATE OF HEART FAILURE SERVICES IN CANADA: FINDINGS OF THE HEART & STROKE NATIONAL HEART FAILURE RESOURCES AND SERVICES INVENTORY. Can J Cardiol 2022. [DOI: 10.1016/j.cjca.2022.08.153] [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: 11/02/2022] Open
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12
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Ow T, Mehta V, Gersten A, Newman J, Maki R, Gundle K, Clayburgh D, Li R, Porosnicu M, Nathan C, Hatton B, Sottero K, Kung G, Grenley M, Anderson K, Klinghoffer R. A Phase 0 Master Protocol Utilizing a Novel Intratumoral Microdosing Approach for Simultaneously Evaluating Multiple Drugs and Drug Combinations in Patients with Solid Tumors. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2021.12.111] [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: 10/18/2022]
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13
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Alba A, Buchan T, Saha S, Poon S, Mak S, Al-Hesayen A, Toma M, Zieroth S, Anderson K, Demmers C, Porepa L, Chih S, Giannetti N, Ross H, Guyatt G. Predicting 1-Year Mortality in Ambulatory Heart Failure Patients: Empiric Models Outperform Physician Intuitive Estimates. J Heart Lung Transplant 2022. [DOI: 10.1016/j.healun.2022.01.1115] [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: 10/18/2022] Open
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14
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Noufi P, Anderson K, Crowell N, White Y, Rao S, Groninger H. Prognostic Implications of Delirium After Left Ventricular Assist Device (LVAD) Implantation: A Retrospective Study. J Heart Lung Transplant 2022. [DOI: 10.1016/j.healun.2022.01.1627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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15
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Mackin J, Hillman S, Cross R, Anderson K. The Internal Worlds of Sexually Abused Looked-After Children. The Psychoanalytic Study of the Child 2022. [DOI: 10.1080/00797308.2021.2022413] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- J. Mackin
- Anna Freud National Centre for Children and Families, University College London, Five Rivers Child Care Limited
| | - S. Hillman
- Anna Freud National Centre for Children and Families, University College London, Five Rivers Child Care Limited
| | - R. Cross
- Anna Freud National Centre for Children and Families, University College London, Five Rivers Child Care Limited
| | - K. Anderson
- Anna Freud National Centre for Children and Families, University College London, Five Rivers Child Care Limited
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16
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Besnier F, Ayllon F, Skaala Ø, Solberg MF, Fjeldheim PT, Anderson K, Knutar S, Glover KA. Introgression of domesticated salmon changes life history and phenology of a wild salmon population. Evol Appl 2022; 15:853-864. [PMID: 35603027 PMCID: PMC9108307 DOI: 10.1111/eva.13375] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 03/03/2022] [Accepted: 03/09/2022] [Indexed: 11/29/2022] Open
Affiliation(s)
- F. Besnier
- Institute of Marine Research PO box 1870 Nordnes N‐5817 Norway
| | - F. Ayllon
- Institute of Marine Research PO box 1870 Nordnes N‐5817 Norway
| | - Ø. Skaala
- Institute of Marine Research PO box 1870 Nordnes N‐5817 Norway
| | - M. F. Solberg
- Institute of Marine Research PO box 1870 Nordnes N‐5817 Norway
| | | | - K. Anderson
- Institute of Marine Research PO box 1870 Nordnes N‐5817 Norway
| | - S. Knutar
- Institute of Marine Research PO box 1870 Nordnes N‐5817 Norway
| | - K. A. Glover
- Institute of Marine Research PO box 1870 Nordnes N‐5817 Norway
- Department of Biological Sciences University of Bergen N‐5020 Bergen Norway
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17
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Farmery AK, Alexander K, Anderson K, Blanchard JL, Carter CG, Evans K, Fischer M, Fleming A, Frusher S, Fulton EA, Haas B, MacLeod CK, Murray L, Nash KL, Pecl GT, Rousseau Y, Trebilco R, van Putten IE, Mauli S, Dutra L, Greeno D, Kaltavara J, Watson R, Nowak B. Food for all: designing sustainable and secure future seafood systems. Rev Fish Biol Fish 2022; 32:101-121. [PMID: 34092936 PMCID: PMC8164055 DOI: 10.1007/s11160-021-09663-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 05/21/2021] [Indexed: 05/19/2023]
Abstract
UNLABELLED Food from the sea can make a larger contribution to healthy and sustainable diets, and to addressing hunger and malnutrition, through improvements in production, distribution and equitable access to wild harvest and mariculture resources and products. The supply and consumption of seafood is influenced by a range of 'drivers' including ecosystem change and ocean regulation, the influence of corporations and evolving consumer demand, as well as the growing focus on the importance of seafood for meeting nutritional needs. These drivers need to be examined in a holistic way to develop an informed understanding of the needs, potential impacts and solutions that align seafood production and consumption with relevant 2030 Sustainable Development Goals (SDGs). This paper uses an evidence-based narrative approach to examine how the anticipated global trends for seafood might be experienced by people in different social, geographical and economic situations over the next ten years. Key drivers influencing seafood within the global food system are identified and used to construct a future scenario based on our current trajectory (Business-as-usual 2030). Descriptive pathways and actions are then presented for a more sustainable future scenario that strives towards achieving the SDGs as far as technically possible (More sustainable 2030). Prioritising actions that not only sustainably produce more seafood, but consider aspects of access and utilisation, particularly for people affected by food insecurity and malnutrition, is an essential part of designing sustainable and secure future seafood systems. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s11160-021-09663-x.
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Affiliation(s)
- A. K. Farmery
- Australian National Centre for Ocean Resource and Security, University of Wollongong, Wollongong, NSW Australia
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
| | - K. Alexander
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - K. Anderson
- Institute for Marine and Antarctic Studies, University of Tasmania, Newnham, TAS Australia
| | - J. L. Blanchard
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - C. G. Carter
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - K. Evans
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- CSIRO Oceans and Atmosphere, Hobart, TAS Australia
| | - M. Fischer
- CSIRO Oceans and Atmosphere, St Lucia, QLD Australia
| | - A. Fleming
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- CSIRO Land and Water, Hobart, TAS Australia
| | - S. Frusher
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - E. A. Fulton
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- CSIRO Oceans and Atmosphere, Hobart, TAS Australia
| | - B. Haas
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - C. K. MacLeod
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - L. Murray
- College of Health, Massey University, Massey, New Zealand
| | - K. L. Nash
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - G. T. Pecl
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - Y. Rousseau
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - R. Trebilco
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- CSIRO Oceans and Atmosphere, Hobart, TAS Australia
| | - I. E. van Putten
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- CSIRO Oceans and Atmosphere, Hobart, TAS Australia
| | - S. Mauli
- Australian National Centre for Ocean Resource and Security, University of Wollongong, Wollongong, NSW Australia
| | - L. Dutra
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- CSIRO Oceans and Atmosphere, St Lucia, QLD Australia
| | - D. Greeno
- College of Arts, Law and Education, University of Tasmania, Hobart, TAS Australia
| | - J. Kaltavara
- Australian National Centre for Ocean Resource and Security, University of Wollongong, Wollongong, NSW Australia
| | - R. Watson
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - B. Nowak
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Newnham, TAS Australia
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18
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Farmery AK, Alexander K, Anderson K, Blanchard JL, Carter CG, Evans K, Fischer M, Fleming A, Frusher S, Fulton EA, Haas B, MacLeod CK, Murray L, Nash KL, Pecl GT, Rousseau Y, Trebilco R, van Putten IE, Mauli S, Dutra L, Greeno D, Kaltavara J, Watson R, Nowak B. Food for all: designing sustainable and secure future seafood systems. Rev Fish Biol Fish 2022; 32:101-121. [PMID: 34092936 DOI: 10.22541/au.160322471.16891119/v1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 05/21/2021] [Indexed: 05/23/2023]
Abstract
UNLABELLED Food from the sea can make a larger contribution to healthy and sustainable diets, and to addressing hunger and malnutrition, through improvements in production, distribution and equitable access to wild harvest and mariculture resources and products. The supply and consumption of seafood is influenced by a range of 'drivers' including ecosystem change and ocean regulation, the influence of corporations and evolving consumer demand, as well as the growing focus on the importance of seafood for meeting nutritional needs. These drivers need to be examined in a holistic way to develop an informed understanding of the needs, potential impacts and solutions that align seafood production and consumption with relevant 2030 Sustainable Development Goals (SDGs). This paper uses an evidence-based narrative approach to examine how the anticipated global trends for seafood might be experienced by people in different social, geographical and economic situations over the next ten years. Key drivers influencing seafood within the global food system are identified and used to construct a future scenario based on our current trajectory (Business-as-usual 2030). Descriptive pathways and actions are then presented for a more sustainable future scenario that strives towards achieving the SDGs as far as technically possible (More sustainable 2030). Prioritising actions that not only sustainably produce more seafood, but consider aspects of access and utilisation, particularly for people affected by food insecurity and malnutrition, is an essential part of designing sustainable and secure future seafood systems. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s11160-021-09663-x.
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Affiliation(s)
- A K Farmery
- Australian National Centre for Ocean Resource and Security, University of Wollongong, Wollongong, NSW Australia
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
| | - K Alexander
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - K Anderson
- Institute for Marine and Antarctic Studies, University of Tasmania, Newnham, TAS Australia
| | - J L Blanchard
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - C G Carter
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - K Evans
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- CSIRO Oceans and Atmosphere, Hobart, TAS Australia
| | - M Fischer
- CSIRO Oceans and Atmosphere, St Lucia, QLD Australia
| | - A Fleming
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- CSIRO Land and Water, Hobart, TAS Australia
| | - S Frusher
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - E A Fulton
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- CSIRO Oceans and Atmosphere, Hobart, TAS Australia
| | - B Haas
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - C K MacLeod
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - L Murray
- College of Health, Massey University, Massey, New Zealand
| | - K L Nash
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - G T Pecl
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - Y Rousseau
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - R Trebilco
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- CSIRO Oceans and Atmosphere, Hobart, TAS Australia
| | - I E van Putten
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- CSIRO Oceans and Atmosphere, Hobart, TAS Australia
| | - S Mauli
- Australian National Centre for Ocean Resource and Security, University of Wollongong, Wollongong, NSW Australia
| | - L Dutra
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- CSIRO Oceans and Atmosphere, St Lucia, QLD Australia
| | - D Greeno
- College of Arts, Law and Education, University of Tasmania, Hobart, TAS Australia
| | - J Kaltavara
- Australian National Centre for Ocean Resource and Security, University of Wollongong, Wollongong, NSW Australia
| | - R Watson
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS Australia
| | - B Nowak
- Centre for Marine Socioecology, University of Tasmania, Hobart, TAS Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, Newnham, TAS Australia
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19
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Jones DB, Harrison S, Anderson K, Shannon S, Betts RA. Rock glaciers represent hidden water stores in the Himalaya. Sci Total Environ 2021; 793:145368. [PMID: 33933287 DOI: 10.1016/j.scitotenv.2021.145368] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 01/13/2021] [Accepted: 01/18/2021] [Indexed: 06/12/2023]
Abstract
In the high mountains of Asia, ongoing glacier retreat threatens human and ecological systems through reduced water availability. Rock glaciers are climatically more resistant than glaciers and contain valuable water volume equivalents (WVEQ). Across High Mountain Asia (HMA) the WVEQ of rock glaciers is poorly quantified, and thus their hydrological significance versus glaciers is unknown. Here we present the first systematic assessment of Himalayan rock glaciers, totalling ~25,000 landforms with an areal coverage of ~3747 km2. We calculate the WVEQ of Himalayan rock glaciers to be 51.80 ± 10.36 km3. Their comparative importance versus glaciers (rock glacier: glacier WVEQ ratio) is 1:25, which means that they constitute hydrologically valuable long-term water stores. In the context of climate-driven glacier recession, their relative hydrological value will likely increase. These cryospheric stores should be included in future scenario modelling to understand their role in sustainable water management for HMA.
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Affiliation(s)
- D B Jones
- College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Penryn, Cornwall TR10 9EZ, UK.
| | - S Harrison
- College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Penryn, Cornwall TR10 9EZ, UK.
| | - K Anderson
- Environment and Sustainability Institute, University of Exeter, Penryn Campus, Penryn, Cornwall TR10 9EZ, UK.
| | - S Shannon
- Bristol Glaciology Centre, Department of Geographical Science, University Road, University of Bristol, BS8 1SS, UK.
| | - R A Betts
- Met Office Hadley Centre, FitzRoy Road, Exeter, EX1 3PB, UK; Global Systems Institute, University of Exeter, Laver Building, North Park Road, Exeter, EX4 4QW, UK.
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20
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Scott P, Anderson K, Cormier R. 656: Impact of high-fat diet on intestinal tumorigenesis in a CFTR-deficient mouse model. J Cyst Fibros 2021. [DOI: 10.1016/s1569-1993(21)02079-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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21
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Gall A, Diaz A, Garvey G, Anderson K, Lindsay D, Howard K. An exploration of the sociodemographic and health conditions associated with self-rated wellbeing for Aboriginal and Torres Strait Islander adults. BMC Res Notes 2021; 14:386. [PMID: 34600592 PMCID: PMC8487334 DOI: 10.1186/s13104-021-05794-3] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 09/20/2021] [Indexed: 11/21/2022] Open
Abstract
Objective To identify sociodemographic factors and health conditions associated with self-rated wellbeing for Aboriginal and Torres Strait Islander adults. Participants were recruited via investigator networks and an online panel provider with an established nationwide panel of Aboriginal and Torres Strait Islander adults. Those interested were invited to complete a survey that included an assessment of wellbeing using a visual analogue scale. Data was collected from October–November 2019 and August–September 2020. Exploratory analyses were conducted to ascertain factors associated with self-rated wellbeing for Aboriginal and Torres Strait Islander adults. Results Having more than enough money to last until next pay day, full-time employment, completion of grade 12, having a partner, and living with others were significantly associated with higher wellbeing among Aboriginal and Torres Strait Islander adults. A self-reported history of depression, anxiety, other mental health conditions, heart disease, or disability were associated with lower self-rated wellbeing scores. Our findings indicate a need for further investigation among these socioeconomic and patient groups to identify how to improve and support the wellbeing of Aboriginal and Torres Strait Islander adults. Supplementary Information The online version contains supplementary material available at 10.1186/s13104-021-05794-3.
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Affiliation(s)
- A Gall
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, Casuarina, NT, Australia.
| | - A Diaz
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, Casuarina, NT, Australia
| | - G Garvey
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, Casuarina, NT, Australia.,School of Public Health, Faculty of Medicine & Health, University of Sydney, Sydney, NSW, 2006, Australia.,School of Public Health, University of Queensland, Brisbane, Australia
| | - K Anderson
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, Casuarina, NT, Australia
| | - D Lindsay
- Wellbeing and Preventable Chronic Disease Division, Menzies School of Health Research, Charles Darwin University, Casuarina, NT, Australia
| | - K Howard
- School of Public Health, Faculty of Medicine & Health, University of Sydney, Sydney, NSW, 2006, Australia.,Menzies Centre for Health Policy and Economics, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2006, Australia
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22
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Kocakavuk E, Anderson K, Varn F, Johnson K, Amin S, Barthel F, Verhaak R. 340O Radiotherapy is associated with deletion signatures that contribute to poor survival outcomes in cancer patients. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.004] [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: 10/20/2022] Open
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23
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Beckstead RB, Anderson K, McDougald LR. Oviduct Fluke (Prosthogonimus macrorchis) Found Inside a Chicken Egg in North Carolina. Avian Dis 2021; 64:352-353. [PMID: 33205185 DOI: 10.1637/aviandiseases-d-20-00021] [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: 02/19/2020] [Accepted: 04/15/2020] [Indexed: 11/05/2022]
Abstract
A video received by faculty at North Carolina State University's Prestage Department of Poultry Science revealed a live parasite inside a chicken egg. The parasite was identified as an oviduct fluke (Prosthogonimus macrorchis), a trematode with a three-host life cycle: the primary host, a galliform bird, then an aquatic snail, and finally a dragonfly larva or adult consumed by the infected bird. The egg was from a "backyard flock" with access to a watercourse. No other instances of this parasite were seen in eggs from the flock. The presence of this parasite inside an egg suggests that the worms had migrated above the shell gland in the oviduct to be incorporated inside the egg. Currently, the occurrence of an oviduct fluke inside an egg in the United States is rare. Such parasites are not found in eggs from caged layers because those birds do not have access to watercourses. This case reinforces the view that parasites requiring intermediate hosts may become more common in birds reared under free-range conditions.
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Affiliation(s)
- R B Beckstead
- Prestage Department of Poultry Science, North Carolina State University, Raleigh, NC 27695-7608
| | - K Anderson
- Prestage Department of Poultry Science, North Carolina State University, Raleigh, NC 27695-7608
| | - L R McDougald
- Department of Poultry Science, University of Georgia, Athens, GA 30602-2772
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24
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Anderson K, Nelson C, Gong Q, Alani M, Tarnowski T, Othman AA. AB0259 EVALUATION OF THE EFFECT OF FILGOTINIB ON THE PHARMACOKINETICS OF ROSUVASTATIN, ATORVASTATIN, AND PRAVASTATIN. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.1685] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Filgotinib is an orally administered small molecule that preferentially inhibits Janus kinase 1 and is approved for use in Europe and Japan in adult patients with rheumatoid arthritis (RA) who have had an inadequate response to conventional therapies. Patients with RA are at a higher risk of cardiovascular morbidity and mortality relative to the general population1. Thus, it is important to understand potential drug-drug interactions of filgotinib with lipid-lowering agents such as statins. Based on in vitro studies, filgotinib is not expected to significantly increase exposure of statins via inhibition of the organic anion transporting peptide (OATP) at clinically relevant exposures. Hence, in Phase 2 and Phase 3 clinical studies, statins were allowed for use with filgotinib. A post-hoc analysis showed no increase in statin-induced AEs such as muscle or liver toxicities when statins were coadministered with filgotinib (“Concomitant Use of Statins in Filgotinib-Treated Patients with Rheumatoid Arthritis: A Post Hoc Analysis”, submitted to EULAR 2021).Objectives:The objectives of this study (NCT04608344) were to evaluate the effect of filgotinib on the pharmacokinetics of atorvastatin, pravastatin, and rosuvastatin, which are sensitive substrates for the OATP-1B1/1B3, and the short-term safety of administering filgotinib with or without statins.Methods:This was an open-label, randomized, two-way, crossover study in healthy adult volunteers (n = 27). Study participants received a single dose of atorvastatin (ATV 40 mg) and a single dose of a cocktail of pravastatin (PRA 40 mg)/rosuvastatin (ROS 10 mg), on two different occasions with washout in between, alone or in combination with filgotinib (200 mg QD for 11 days). Serial pharmacokinetic sampling was performed and pharmacokinetic parameters for each statin were calculated. Safety was assessed throughout the study. An analysis of variance using a mixed-effects model was applied to the natural logarithmic transformation of pharmacokinetic parameters (Cmax and AUCinf) for ATV, 2-OH-ATV (active metabolite of ATV), PRA, and ROS. Geometric-least squares means (GLSM) ratios and 90% confidence intervals (90% CI) of pharmacokinetic parameters were estimated for each analyte and were compared against pre-specified lack of pharmacokinetic alteration boundaries of 70 to 143%.Results:Of the 27 enrolled participants, 25 participants completed all study treatments. Most AEs and laboratory abnormalities were Grade 1 or 2 in severity; 1 participant discontinued due to a Grade 3 increase in creatine kinase and 1 participant discontinued due to difficulty in blood draws. Following coadministration of filgotinib with ATV, relative to ATV alone, ATV AUCinf was unaffected (GLSM ratio (90% CI): 0.91 (0.84, 0.99)), but ATV Cmax was slightly reduced (GLSM ratio (90% CI): 0.82 (0.69, 0.98)). 2-OH-ATV exposure (Cmax and AUCinf) were unaffected (GLSM ratio (90% CI): 0.98 (0.81, 1.18) for Cmax and 1.12 (1.02, 1.22) for AUCinf), and were within the pre-specified lack-of-effect bounds. Following coadministration with filgotinib, PRA AUCinf was unaffected (GLSM ratio (90% CI): 1.22 (1.06, 1.42)), but PRA Cmax was slightly higher (1.25 (1.01, 1.54)). ROS exposure (Cmax and AUCinf) were moderately higher upon coadministration with filgotinib (GLSM ratio (90% CI): 1.68 (1.43, 1.97) for Cmax and 1.42 (1.30, 1.56) for AUCinf), and these changes in rosuvastatin exposure are not considered to be clinically relevant.Conclusion:All study treatments were generally well tolerated. Co-administration with filgotinib did not have a clinically meaningful impact on the exposure of ATV, PRA, and ROS. These data support concomitant use of filgotinib with OATP substrates such as statins.References:[1]Piepoli MF, Hoes AW, Agewall S, et al. Eur Heart J. 2016;37(29): 2315-2381.Disclosure of Interests:Kacey Anderson Shareholder of: Gilead Sciences, Employee of: Gilead Sciences, Cara Nelson Shareholder of: Gilead Sciences, Employee of: Gilead Sciences, Qi Gong Shareholder of: Gilead Sciences, Employee of: Gilead Sciences, Muhsen Alani Shareholder of: Gilead Sciences, Employee of: Gilead Sciences, Thomas Tarnowski Shareholder of: Gilead Sciences, Employee of: Gilead Sciences, Ahmed A. Othman Shareholder of: Gilead Sciences, Employee of: Gilead Sciences
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25
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Anderson K, Hsueh CH, Gurtovaya O, Mathur A, Taylor J, Serone A, Othman AA. POS0672 FIRST-IN-HUMAN STUDY OF GS-5718, AN ORAL IRAK-4 INHIBITOR, IN HEALTHY SUBJECTS: PHARMACOKINETICS, SAFETY, TOLERABILITY, AND ASSESSMENT OF EFFECT OF FOOD AND ACID REDUCING AGENTS ON EXPOSURE. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.2238] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:GS-5718 is a potent and selective interleukin-1 receptor-associated kinase 4 (IRAK4) inhibitor in clinical development for treatment of inflammatory diseases.Objectives:The aim of this first-in-human study was to evaluate the pharmacokinetics, safety, and tolerability of GS-5718; and the effect of food and acid-reducing agents (ARA) on GS-5718 pharmacokinetics in healthy subjects.Methods:This was a blinded, randomized, placebo-controlled, single and multiple (once daily for 10 days) oral dose study. Healthy male and female subjects were enrolled in ascending dose cohorts and randomized to receive GS-5718 (15, 50 or 150 mg) or placebo. GS-5718 was administered fasted in the single ascending dose cohorts, and under fed conditions (standard meal) in the multiple dose cohorts. The effects of a high-fat meal and omeprazole (a representative ARA) on GS-5718 50 mg dose pharmacokinetics were also evaluated. Serial blood samples were collected and GS-5718 pharmacokinetic parameters were characterized. Safety was assessed by review of adverse events (AEs), clinical laboratory tests, and vital signs.Results:A total of 74 subjects (n = 62 GS-5718; n = 12 placebo) enrolled and completed study drug treatments in this study. GS-5718 was generally well tolerated at all evaluated dose levels; AEs were mild in severity and no dose-limiting toxicities, serious AEs, nor clinically relevant electrocardiogram or vital sign abnormalities were observed in subjects administered GS-5718. GS-5718 exposure was approximately dose proportional across the evaluated multiple ascending dose range. GS-5718 showed low-to-moderate pharmacokinetic variability with median half-life of 25 to 33 hours and 1.6 to 2.4- fold accumulation at steady-state, which was achieved by Day 5-7 of dosing. Food had no clinically meaningful impact on GS-5718 exposure (AUC and Cmax) at the 50 mg dose. Co-administration of omeprazole with GS-5718 reduced GS-5718 exposure (AUC and Cmax) by 23% and 43%, respectively, at the 50 mg dose.Conclusion:GS-5718, administered once daily, was well tolerated following single or multiple dosing up to 150 mg. The pharmacokinetic and safety profile of GS-5718 support the further development in inflammatory diseases with once-daily administrations.Disclosure of Interests:Kacey Anderson Shareholder of: Gilead Sciences, Employee of: Gilead Sciences, Chia-Hsiang Hsueh Shareholder of: Gilead Sciences, Employee of: Gilead Sciences, Oksana Gurtovaya Shareholder of: Gilead Sciences, Employee of: Gilead Sciences, Anubhav Mathur Shareholder of: Gilead Sciences, Employee of: Gilead Sciences, James Taylor Shareholder of: Gilead Sciences, Employee of: Gilead Sciences, Adrian Serone Shareholder of: Gilead Sciences, Employee of: Gilead Sciences, Ahmed A. Othman Shareholder of: Gilead Sciences, Employee of: Gilead Sciences
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26
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Smyth LJ, Kilner J, Nair V, Liu H, Brennan E, Kerr K, Sandholm N, Cole J, Dahlström E, Syreeni A, Salem RM, Nelson RG, Looker HC, Wooster C, Anderson K, McKay GJ, Kee F, Young I, Andrews D, Forsblom C, Hirschhorn JN, Godson C, Groop PH, Maxwell AP, Susztak K, Kretzler M, Florez JC, McKnight AJ. Assessment of differentially methylated loci in individuals with end-stage kidney disease attributed to diabetic kidney disease: an exploratory study. Clin Epigenetics 2021; 13:99. [PMID: 33933144 PMCID: PMC8088646 DOI: 10.1186/s13148-021-01081-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 04/15/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND A subset of individuals with type 1 diabetes mellitus (T1DM) are predisposed to developing diabetic kidney disease (DKD), the most common cause globally of end-stage kidney disease (ESKD). Emerging evidence suggests epigenetic changes in DNA methylation may have a causal role in both T1DM and DKD. The aim of this exploratory investigation was to assess differences in blood-derived DNA methylation patterns between individuals with T1DM-ESKD and individuals with long-duration T1DM but no evidence of kidney disease upon repeated testing to identify potential blood-based biomarkers. Blood-derived DNA from individuals (107 cases, 253 controls and 14 experimental controls) were bisulphite treated before DNA methylation patterns from both groups were generated and analysed using Illumina's Infinium MethylationEPIC BeadChip arrays (n = 862,927 sites). Differentially methylated CpG sites (dmCpGs) were identified (false discovery rate adjusted p ≤ × 10-8 and fold change ± 2) by comparing methylation levels between ESKD cases and T1DM controls at single site resolution. Gene annotation and functionality was investigated to enrich and rank methylated regions associated with ESKD in T1DM. RESULTS Top-ranked genes within which several dmCpGs were located and supported by functional data with methylation look-ups in other cohorts include: AFF3, ARID5B, CUX1, ELMO1, FKBP5, HDAC4, ITGAL, LY9, PIM1, RUNX3, SEPTIN9 and UPF3A. Top-ranked enrichment pathways included pathways in cancer, TGF-β signalling and Th17 cell differentiation. CONCLUSIONS Epigenetic alterations provide a dynamic link between an individual's genetic background and their environmental exposures. This robust evaluation of DNA methylation in carefully phenotyped individuals has identified biomarkers associated with ESKD, revealing several genes and implicated key pathways associated with ESKD in individuals with T1DM.
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Affiliation(s)
- L J Smyth
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK.
| | - J Kilner
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - V Nair
- Internal Medicine, Department of Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - H Liu
- Department of Department of Medicine/ Nephrology, Department of Genetics, Institute of Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - E Brennan
- Diabetes Complications Research Centre, Conway Institute of Biomolecular and Biomedical Research, School of Medicine, University College Dublin, Dublin 4, Ireland
| | - K Kerr
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - N Sandholm
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - J Cole
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA, USA.,Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - E Dahlström
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - A Syreeni
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - R M Salem
- Department of Family Medicine and Public Health, UC San Diego, San Diego, CA, USA
| | - R G Nelson
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - H C Looker
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - C Wooster
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - K Anderson
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - G J McKay
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - F Kee
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - I Young
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - D Andrews
- Diabetes Complications Research Centre, Conway Institute of Biomolecular and Biomedical Research, School of Medicine, University College Dublin, Dublin 4, Ireland
| | - C Forsblom
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - J N Hirschhorn
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA, USA.,Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - C Godson
- Diabetes Complications Research Centre, Conway Institute of Biomolecular and Biomedical Research, School of Medicine, University College Dublin, Dublin 4, Ireland
| | - P H Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.,Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - A P Maxwell
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK.,Regional Nephrology Unit, Belfast City Hospital, Belfast, Northern Ireland, UK
| | - K Susztak
- Department of Department of Medicine/ Nephrology, Department of Genetics, Institute of Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - M Kretzler
- Internal Medicine, Department of Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - J C Florez
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - A J McKnight
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
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Aleksova N, McGuinty C, Amadio J, McGrath K, Anderson K, Davey R, Clarke B, Chih S, Ross H, McDonald M. CANADIAN REPORT ON HEART TRANSPLANT OUTCOMES IN PATIENTS WITH URGENT LISTING PRIORITY. Can J Cardiol 2020. [DOI: 10.1016/j.cjca.2020.07.125] [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: 11/24/2022] Open
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Puzanov I, Havenith K, Boni J, Cruz H, Anderson K, Kopotsha T, Le Bruchec Y, Bendell J, Kummar S, Papadopoulos K, LoRusso P, Wuerthner J. 1030P First-in-human study of camidanlumab tesirine (ADCT-301, Cami), an anti-CD25 targeted therapy in patients (pts) with advanced solid tumours: Pharmacokinetics (PK) and biomarker evaluation. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.1150] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Ling L, Shah S, Hussain J, Stranges S, Anderson K. Night shift work, sleep quality and risk of endocrine-related cancer: a systematic review. Eur J Public Health 2020. [DOI: 10.1093/eurpub/ckaa166.1141] [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: 11/13/2022] Open
Abstract
Abstract
Background
Cancer is a major public health concern as it is a leading cause of death worldwide. The risk of endocrine-related cancers may be associated with suboptimal sleep quality due to disruptions in circadian rhythm. However, the extent of this relationship is not clear and warrants a review summarizing recent research findings. This systematic review aims to provide an updated summary of the literature surrounding the association between night shift work, sleep quality, circadian rhythm disruption and the risk of endocrine-related cancers.
Methods
MEDLINE, EMBASE, CINAHL, and Web of Science databases have been searched for related cohort, case-control, and cross-sectional studies. The search was limited to studies published in English, after the year 2000. Non peer-reviewed literature and randomized control trials, were excluded. Reviewers will independently extract data on study characteristics, sleep quality measures, circadian rhythm measures, cancer diagnosis, and outcome measures. Risk of bias assessment will be performed using the CLARITY tools.
Results
Data synthesis is ongoing. Associations between sleep quality, night shift work, circadian disruption and risk of endocrine-related cancer will be summarized and risk estimates will be reported for four endocrine-related cancers: breast, prostate, thyroid, ovarian, and endometrial cancer. If data are available, subgroup analyses will be carried out by cancer type, study design, and age group.
Conclusions
This review qualitatively synthesizes current literature to determine the extent of the association between sleep quality, night shift work, circadian rhythm disruption and the risk of endocrine-related cancers. These findings can contribute to population-level cancer prevention efforts and aid public health promotion of healthier sleep-related behaviours.
Key messages
The relationship between sleep quality and endocrine-related cancers should be explored further in public health research due to inconclusive evidence from current literature. The findings of this project can help promote healthy sleep behaviours and population-level cancer prevention.
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Affiliation(s)
- L Ling
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada
| | - S Shah
- Department of Interdisciplinary Medical Sciences, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada
| | - J Hussain
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada
| | - S Stranges
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada
- Department of Family Medicine, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada
- Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - K Anderson
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada
- Department of Psychiatry, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada
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Meng A, Anderson K, Nelson C, Kirby B, Ni L, Chuang SM, Kearney B, Mathias A. SAT0149 EXPOSURE-RESPONSE RELATIONSHIPS FOR EFFICACY AND SAFETY OF FILGOTINIB AND ITS METABOLITE GS-829845 IN SUBJECTS WITH RHEUMATOID ARTHRITIS BASED ON PHASE 2 AND PHASE 3 STUDIES. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.4977] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Filgotinib is an orally administered small molecule that provides selective inhibition of JAK1, a signaling molecule that helps drive inflammatory pathways underlying rheumatoid arthritis (RA).Objectives:Exposure-response (ER) analyses were performed for efficacy following completion of Phase 2 studies over a wide range of doses to support evaluation of 200mg and 100 mg once daily in Phase 3 studies. ER analyses were subsequently performed by using Phase 3 efficacy data to support selection of the proposed registrational dose. ER analyses for safety based on pooled Phase 2 and Phase 3 studies were conducted to examine the safety of evaluated doses.Methods:Population PK analyses were conducted to estimate plasma exposures of filgotinib and GS-829845 (major circulating active metabolite of filgotinib) in both Phase 2 (DARWIN 1 and DARWIN 2) and Phase 3 studies (FINCH 1, FINCH 2, and FINCH 3) encompassing a dose range of 25 to 100 mg twice daily and 50 to 200 mg once daily. As both filgotinib and GS-829845 contribute to efficacy via JAK1 inhibition, their exposures were combined into single parameters, AUCeff and Ctau-eff (effective area under the curve and effective concentration at trough, by accounting for relative inhibition potency and molecular weight) in the ER analyses for various efficacy endpoints (e.g ACR20/50/70 responses) at Week 12 and Week 24. The ER analyses for safety endpoints (the 5 most frequent treatment-emergent adverse events [TEAEs] and Grade 3 or 4 laboratory abnormalities, serious TEAEs, and serious infections) were performed separately for filgotinib and GS-829845 exposures to characterize the individual safety profile of each analyte. The 5 evaluated TEAEs were nausea, nasopharyngitis, upper respiratory tract infection, headache, and hypertension; the 5 Grade 3/4 laboratory abnormalities included lymphocytes decrease, glucose increase, phosphate decrease, triacylglycerol lipase increase, and creatine kinase increase.Results:In the ER analyses for efficacy based on Phase 2 studies, high response rates were demonstrated in ACR20/50/70 across all octile groups in subjects with RA receiving filgotinib and the ER supported further evaluation of both 200 mg and 100 mg once daily doses in Phase 3 clinical studies. Similarly, ER relationships based on pooled Phase 3 studies across various endpoints (e.g ACR20/50/70) consistently revealed high response rates across the exposure range for both the filgotinib 200 mg and 100 mg doses. A trend of increasing response with increasing exposure was observed over the exposure range for multiple secondary efficacy endpoints including ACR50 and ACR70 with the effective exposures at filgotinib 200 mg primarily residing on the plateau of the ER curves.Filgotinib was generally well-tolerated with no individual TEAE or Grade 3 or 4 laboratory abnormality > 5% in the filgotinib 200 mg once daily group up to Week 12. No relationships were observed between filgotinib and GS-829845 exposures (AUC0-24 and Cmax) and the most frequent TEAEs, Grade 3/4 laboratory abnormalities, serious TEAEs, or serious infections up to Week 52.Conclusion:ER analyses demonstrate that both the 200 mg and 100 mg once daily filgotinib doses are efficacious in subjects with moderately to severely active RA without clear dose-dependent effects on safety. The trend towards greater efficacy with higher exposures for some secondary endpoints (ACR50 and ACR70) and a lack of exposure-safety relationship supports a dose of 200 mg once daily over 100 mg once daily since it presents the best benefit/risk ratio among the doses tested.Disclosure of Interests: :Amy Meng Shareholder of: Gilead Sciences, Employee of: Gilead, Kacey Anderson Shareholder of: Gilead Sciences, Employee of: Sciences, Cara Nelson Shareholder of: Gilead, Employee of: Gilead, Brian Kirby Shareholder of: Gilead, Employee of: Gilead, Liyun Ni Shareholder of: Gilead, Employee of: Gilead, Shu-Min Chuang Shareholder of: Gilead, Employee of: Gilead, Brian Kearney Shareholder of: Gilead, Employee of: Gilead, Anita Mathias Shareholder of: Gilead, Employee of: Gilead
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Goldsmith LP, Smith JG, Clarke G, Anderson K, Lomani J, Turner K, Gillard S. What is the impact of psychiatric decision units on mental health crisis care pathways? Protocol for an interrupted time series analysis with a synthetic control study. BMC Psychiatry 2020; 20:185. [PMID: 32326915 PMCID: PMC7178744 DOI: 10.1186/s12888-020-02581-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 04/02/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The UK mental health system is stretched to breaking point. Individuals presenting with mental health problems wait longer at the ED than those presenting with physical concerns and finding a bed when needed is difficult - 91% of psychiatric wards are operating at above the recommended occupancy rate. To address the pressure, a new type of facility - psychiatric decision units (also known as mental health decision units) - have been introduced in some areas. These are short-stay facilities, available upon referral, targeted to help individuals who may be able to avoid an inpatient admission or lengthy ED visit. To advance knowledge about the effectiveness of this service for this purpose, we will examine the effect of the service on the mental health crisis care pathway over a 4-year time period; the 2 years proceeding and following the introduction of the service. We use aggregate service level data of key indicators of the performance of this pathway. METHODS Data from four mental health Trusts in England will be analysed using an interrupted time series (ITS) design with the primary outcomes of the rate of (i) ED psychiatric presentations and (ii) voluntary admissions to mental health wards. This will be supplemented with a synthetic control study with the same primary outcomes, in which a comparable control group is generated for each outcome using a donor pool of suitable National Health Service Trusts in England. The methods are well suited to an evaluation of an intervention at a service delivery level targeting population-level health outcome and the randomisation or 'trialability' of the intervention is limited. The synthetic control study controls for national trends over time, increasing our confidence in the results. The study has been designed and will be carried out with the involvement of service users and carers. DISCUSSION This will be the first formal evaluation of psychiatric decision units in England. The analysis will provide estimates of the effect of the decision units on a number of important service use indicators, providing much-needed information for those designing service pathways. TRIAL REGISTRATION primary registry: isrctn.com Identifying number: ISRCTN77588384 Link: Date of registration in primary registry: 27/02/2020. PRIMARY SPONSOR St George's, University of London, Cramner Road, Tooting, SW17 ORE. Primary contact: Joe Montebello.
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Affiliation(s)
- L P Goldsmith
- Population Health Research Institute, St George's, University of London, Cramner Road, Tooting, London, SW17 0RE, UK.
| | - J G Smith
- Population Health Research Institute, St George's, University of London, Cramner Road, Tooting, London, SW17 0RE, UK
| | - G Clarke
- The Health Foundation, 8 Salisbury Square, London, UK
| | - K Anderson
- Population Health Research Institute, St George's, University of London, Cramner Road, Tooting, London, SW17 0RE, UK
| | - J Lomani
- Population Health Research Institute, St George's, University of London, Cramner Road, Tooting, London, SW17 0RE, UK
| | - K Turner
- Population Health Research Institute, St George's, University of London, Cramner Road, Tooting, London, SW17 0RE, UK
| | - S Gillard
- Population Health Research Institute, St George's, University of London, Cramner Road, Tooting, London, SW17 0RE, UK
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Lozada-Soto E, Maltecca C, Anderson K, Tiezzi F. Analysis of milk leukocyte differential measures for use in management practices for decreased mastitis incidence. J Dairy Sci 2019; 103:572-582. [PMID: 31704016 DOI: 10.3168/jds.2019-16355] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [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: 01/23/2019] [Accepted: 09/20/2019] [Indexed: 11/19/2022]
Abstract
The aim of this study was to assess the usefulness of measures derived from milk leukocyte differential (MLD) in practices that improve fresh cow mastitis monitoring and decrease mastitis incidence. Quarter milk samples were collected from Holstein and Jersey cows on d 4 and 11 postcalving. Samples were analyzed using MLD, whereby cell counts and quarter infection diagnosis were obtained. Measures derived from MLD included cell scores (total leukocyte, neutrophil, macrophage, and lymphocyte scores), cell proportions (neutrophil, macrophage, and lymphocyte percentages), cell thresholds (total leukocyte, neutrophil, macrophage, and lymphocyte thresholds), and MLD diagnosis at different threshold settings (A, B, and C). Microbiological culturing of milk samples was used to determine infection status to compare the MLD diagnosis and serve as an indicator of infection. Measures derived from the microbiological analysis included occurrence of major pathogens, minor pathogens, and infection. Data analysis was based on a linear mixed model, which was used on all measures for the estimation of the fixed effects of breed, lactation number, day of sample collection, time of sampling, and quarter location, and the random effects of animal and week of sampling. All the fixed effects studied were significant for one or more of the analyzed measures. The results of this study showed that MLD-derived measures justify further study on their use for management practices for mastitis screening and prevention in early lactation.
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Affiliation(s)
- E Lozada-Soto
- Department of Animal Science, North Carolina State University, Raleigh 27607.
| | - C Maltecca
- Department of Animal Science, North Carolina State University, Raleigh 27607
| | - K Anderson
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh 27607
| | - F Tiezzi
- Department of Animal Science, North Carolina State University, Raleigh 27607
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Nicholson K, Rodrigues R, Anderson K, Wilk P, Guaiana G, Stranges S. Relationship between sleep patterns and multimorbidity in the Canadian Longitudinal Study on Aging. Eur J Public Health 2019. [DOI: 10.1093/eurpub/ckz185.416] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Sleep difficulties are an unmet public health problem, affecting large segments of the population around the world. Poor sleep quality and reduced sleep duration impact over half of older adults and are associated with adverse health outcomes like multiple chronic diseases (multimorbidity) and reduced longevity.
Methods
A cross-sectional analysis of the Canadian Longitudinal Study on Aging (CLSA), a national health survey of community-dwelling adults and older adults. A total of 30,011 participants had physiological and psychosocial data collected at baseline. Sleep measures included self-reported sleep duration (short: <6 hours, normal: 6-8 hours, long: >8 hours) and sleep quality (dissatisfied/very dissatisfied, neutral, satisfied/very satisfied). To capture multimorbidity, a primary definition was operationalized with 17 chronic conditions, whereas a secondary definition was operationalized with 9 chronic conditions to capture both the primary care and public health perspective.
Results
In our sample, 50.9% were female (average age: 62.7 years) and 49.1% were male (average age: 63.2 years). The majority reported a normal sleep duration and approximately half reported being either satisfied or very satisfied with sleep quality. About 70% were living with multimorbidity using the primary care definition (females: 71.7%; males 64.3%), while about 30% were living with multimorbidity using the public health definition (females: 34.8%; males: 28.9%). The adjusted analyses indicated the odds of multimorbidity increased for those who reported short or long sleep duration, as well as dissatisfaction with sleep quality, across age groups and both females and males.
Conclusions
Disrupted sleep may be an additional behavioural risk factor for a number of chronic diseases, in the context of aging populations. It is necessary to understand the potential impact of sleep on the risk of multimorbidity, and this research will build knowledge in this important area.
Key messages
This research will utilize a national health survey to examine and report the characteristics of sleep quality and sleep duration among approximately 30,000 community-dwelling adults in Canada. This research will explore relationships between sleep duration, sleep quality and multimorbidity (controlling for confounding factors) among community-dwelling adults in Canada.
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Affiliation(s)
- K Nicholson
- Department of Epidemiology & Biostatistics, Western University, London, Ontario, Canada
| | - R Rodrigues
- Department of Epidemiology & Biostatistics, Western University, London, Ontario, Canada
| | - K Anderson
- Department of Epidemiology & Biostatistics, Western University, London, Ontario, Canada
- Lawson Health Research Institute, Western University, London, Ontario, Canada
- Department of Psychiatry, Western University, London, Ontario, Canada
| | - P Wilk
- Department of Epidemiology & Biostatistics, Western University, London, Ontario, Canada
- Lawson Health Research Institute, Western University, London, Ontario, Canada
- Department of Paediatrics, Western University, London, Ontario, Canada
| | - G Guaiana
- Department of Epidemiology & Biostatistics, Western University, London, Ontario, Canada
- Department of Psychiatry, Western University, London, Ontario, Canada
| | - S Stranges
- Department of Epidemiology & Biostatistics, Western University, London, Ontario, Canada
- Department of Family Medicine, Western University, London, Ontario, Canada
- Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg
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Gall A, Anderson K, Adams J, Matthews V, Garvey G. An exploration of healthcare providers' experiences and perspectives of Traditional and complementary medicine usage and disclosure by Indigenous cancer patients. Altern Ther Health Med 2019; 19:259. [PMID: 31533782 PMCID: PMC6751784 DOI: 10.1186/s12906-019-2665-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2018] [Accepted: 08/30/2019] [Indexed: 11/10/2022]
Abstract
Background Traditional and complementary medicines (T&CM) are any form of medicine, practice, treatment, product, technology, knowledge system or ceremony outside of conventional medical practice that aims to prevent and/or treat illness and/or promote well-being. Alongside conventional cancer treatments, T&CM usage is increasing; with 19% of indigenous Australians with cancer reporting using T&CM. There is limited evidence surrounding T&CM use and disclosure by indigenous patients. Our aim was to explore healthcare providers’ views about usage, disclosure/non-disclosure of T&CM by Indigenous cancer patients. Methods Semi-structured, in-depth interviews with 18 healthcare providers, including three indigenous providers, at a large urban hospital providing care to Indigenous cancer patients were conducted to explore providers’ experiences and attitudes towards T&CM use by Indigenous cancer patients. An interpretive phenomenological approach was used to thematically analyse the data. Results Analysis revealed six themes: concern about risk; no ‘real’ benefits; perception of T&CM and conventional medicine as antithetical; barriers to disclosure; ‘patients’ choice’ a double-edged sword; and providers’ lack of knowledge about T&CM. Healthcare providers perceived discord between T&CM and conventional medicine. Most lacked knowledge of T&CM, and had concerns around negative-interactions with conventional treatments. They considered T&CM outside their role, citing this as reasoning for their lack of knowledge. Indigenous healthcare providers had greater understanding and openness towards T&CM. Conclusions Given the potential usage of T&CM by Indigenous cancer patients, providers need a more comprehensive understanding of T&CM in order to inform discussion and facilitate effective disclosure on this topic. If indigenous Australians with cancer feel that cancer care providers are unreceptive to discussing T&CM, patient care risks being compromised; particularly given the potential for negative interactions between T&CM and conventional cancer treatments. Fostering health care interactions where indigenous patients feel comfortable to discuss T&CM usage should be a priority for all cancer care services.
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Gall A, Anderson K, Diaz A, Matthews V, Adams J, Taylor T, Garvey G. Exploring traditional and complementary medicine use by Indigenous Australian women undergoing gynaecological cancer investigations. Complement Ther Clin Pract 2019; 36:88-93. [PMID: 31383451 DOI: 10.1016/j.ctcp.2019.06.005] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 05/14/2019] [Accepted: 06/12/2019] [Indexed: 01/15/2023]
Abstract
BACKGROUND Indigenous Australian women experience worse gynaecological cancer outcomes than non-Indigenous women. While traditional and complementary medicine (T&CM) is increasingly used by cancer patients alongside conventional treatments, little is known about T&CM use by Indigenous women. This study aimed to explore the beliefs, attitudes and experiences related to T&CM use and disclosure among Indigenous women undergoing gynaecological cancer investigations. METHODS A mixed-methods design explored T&CM use among Indigenous women who presented for gynaecological cancer investigation at an urban Queensland hospital (September 2016 and January 2018). RESULTS Fourteen women participated. The reported use (86%) and perceived value of T&CM was high among the participants, however, women reported major challenges in communicating with healthcare providers about T&CM, commonly associated with trust and rapport. CONCLUSIONS These findings highlight the need for strategies to facilitate culturally-appropriate doctor-patient communication around T&CM to foster trust and transparency in gynaecological cancer care for Indigenous women.
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Affiliation(s)
- A Gall
- Menzies School of Health Research, Charles Darwin University, Darwin, Australia.
| | - K Anderson
- Menzies School of Health Research, Charles Darwin University, Darwin, Australia.
| | - A Diaz
- Menzies School of Health Research, Charles Darwin University, Darwin, Australia.
| | - V Matthews
- The University of Sydney, University Centre for Rural Health, Lismore, Australia.
| | - J Adams
- University of Technology Sydney, Ultimo, Australia.
| | - T Taylor
- Endeavour College of Natural Health, Brisbane, Australia.
| | - G Garvey
- Menzies School of Health Research, Charles Darwin University, Darwin, Australia.
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Keckler M, Anderson K, McAllister S, Rasheed J, Noble-Wang J. Development and implementation of evidence-based laboratory safety management tools for a public health laboratory. Saf Sci 2019; 117:205-216. [PMID: 31156293 PMCID: PMC6537614 DOI: 10.1016/j.ssci.2019.04.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
We developed an evidence-based continuous quality improvement (CQI) cycle for laboratory safety as a method of utilizing survey data to improve safety in a public health laboratory setting. • Expert Opinion: The CQI cycle begins with the solicitation of laboratory staff input via an annual survey addressing potential chemical, physical and radiological hazards associated with multiple laboratory activities. The survey collects frequency, severity and exposure data related to these activities in the context of the most pathogenic organisms handled at least weekly. • Gap Analysis: Step 2 of the CQI cycle used survey data to identify areas needing improvement. Typically, the traditional two-dimensional risk assessment matrix is used to prioritize mitigations. However, we added an additional dimension - frequency of exposure - to create three-dimensional risk maps to better inform and communicate risk priorities. • Mitigation Measures: Step 3 of the CQI cycle was to use these results to develop mitigations. This included evaluating the identified risks to determine what risk control measures (elimination, substitution, engineering, administrative or PPE) were needed. In the 2016 iteration of the CQI cycle described here, all mitigations were based on administrative controls. • Evaluation and Feedback: The last step of the CQI cycle was to evaluate the inferred effects of interventions through subsequent surveys, allowing for qualitative assessment of intervention effectiveness while simultaneously restarting the cycle by identifying new hazards. Here we describe the tools used to drive this CQI cycle, including the survey tool, risk analysis method, design of interventions and inference of mitigation effectiveness.
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Affiliation(s)
- M.S. Keckler
- Centers for Disease Control and Prevention, National Center for Emerging Zoonotic and Infectious Diseases, Division of Healthcare Quality Promotion, Clinical and Environmental Microbiology Branch, United States
- Centers for Disease Control and Prevention, Center for Surveillance, Epidemiology and Laboratory Services, Laboratory Leadership Service Fellowship, United States
| | - K. Anderson
- Centers for Disease Control and Prevention, National Center for Emerging Zoonotic and Infectious Diseases, Division of Healthcare Quality Promotion, Clinical and Environmental Microbiology Branch, United States
| | - S. McAllister
- Centers for Disease Control and Prevention, National Center for Emerging Zoonotic and Infectious Diseases, Division of Healthcare Quality Promotion, Clinical and Environmental Microbiology Branch, United States
| | - J.K. Rasheed
- Centers for Disease Control and Prevention, National Center for Emerging Zoonotic and Infectious Diseases, Division of Healthcare Quality Promotion, Clinical and Environmental Microbiology Branch, United States
| | - J. Noble-Wang
- Centers for Disease Control and Prevention, National Center for Emerging Zoonotic and Infectious Diseases, Division of Healthcare Quality Promotion, Clinical and Environmental Microbiology Branch, United States
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Shmuylovich L, Paller A, Kiguradze T, Anderson K, Sibbald C, Tollefson M, Kunzler E, Tom W, Hedlund K, Ahmad R, Garcia-Romero M, Irfan M, Kollman K, Hunt R, Stein S, Arkin L, Wong V, Pope E, Jacobe H, Brandling-Bennet H, Cordoro K, Bercovitch L, Chiu Y. 385 Patterning of linear morphea on the face and neck: Blaschkoid or not? J Invest Dermatol 2019. [DOI: 10.1016/j.jid.2019.03.461] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Cañadas-Garre M, Anderson K, McGoldrick J, Maxwell AP, McKnight AJ. Proteomic and metabolomic approaches in the search for biomarkers in chronic kidney disease. J Proteomics 2019; 193:93-122. [PMID: 30292816 DOI: 10.1016/j.jprot.2018.09.020] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [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: 07/08/2018] [Revised: 09/20/2018] [Accepted: 09/30/2018] [Indexed: 12/15/2022]
Abstract
Chronic kidney disease (CKD) is an aging-related disorder that represents a major global public health burden. Current biochemical biomarkers, such as serum creatinine and urinary albumin, have important limitations when used to identify the earliest indication of CKD or in tracking the progression to more advanced CKD. These issues underline the importance of finding and testing new molecular biomarkers that are capable of successfully meeting this clinical need. The measurement of changes in nature and/or levels of proteins and metabolites in biological samples from patients provide insights into pathophysiological processes. Proteomic and metabolomic techniques provide opportunities to record dynamic chemical signatures in patients over time. This review article presents an overview of the recent developments in the fields of metabolomics and proteomics in relation to CKD. Among the many different proteomic biomarkers proposed, there is particular interest in the CKD273 classifier, a urinary proteome biomarker reported to predict CKD progression and with implementation potential. Other individual non-invasive peptidomic biomarkers that are potentially relevant for CKD detection include type 1 collagen, uromodulin and mucin-1. Despite the limited sample sizes and variability of the metabolomics studies, some metabolites such as trimethylamine N-oxide, kynurenine and citrulline stand out as potential biomarkers in CKD.
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Affiliation(s)
- M Cañadas-Garre
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen's University of Belfast, Regional Genetics Centre, Level A, Tower Block, Belfast City Hospital, Lisburn Road, Belfast BT9 7AB, United Kingdom; Regional Nephrology Unit, Belfast City Hospital, Belfast, United Kingdom.
| | - K Anderson
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen's University of Belfast, Regional Genetics Centre, Level A, Tower Block, Belfast City Hospital, Lisburn Road, Belfast BT9 7AB, United Kingdom; Regional Nephrology Unit, Belfast City Hospital, Belfast, United Kingdom.
| | - J McGoldrick
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen's University of Belfast, Regional Genetics Centre, Level A, Tower Block, Belfast City Hospital, Lisburn Road, Belfast BT9 7AB, United Kingdom; Regional Nephrology Unit, Belfast City Hospital, Belfast, United Kingdom.
| | - A P Maxwell
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen's University of Belfast, Regional Genetics Centre, Level A, Tower Block, Belfast City Hospital, Lisburn Road, Belfast BT9 7AB, United Kingdom; Regional Nephrology Unit, Belfast City Hospital, Belfast, United Kingdom.
| | - A J McKnight
- Epidemiology and Public Health Research Group, Centre for Public Health, Queen's University of Belfast, Regional Genetics Centre, Level A, Tower Block, Belfast City Hospital, Lisburn Road, Belfast BT9 7AB, United Kingdom; Regional Nephrology Unit, Belfast City Hospital, Belfast, United Kingdom.
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Ertz-Archambault N, Rogoff L, Kosiorek H, Ernst B, Anderson K, Pockaj B, Gray R, Northfelt D. Abstract P1-11-13: Depomedroxyprogesterone therapy for hot flashes in survivors of ER-expressing breast cancer: Impact on recurrence and survival. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p1-11-13] [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
Survivors of ER-expressing operable breast cancer (ER+BC) generally do not receive hormone replacement therapy for menopausal symptoms due to concern about provoking recurrence of disease. Single dose depomedroxyprogesterone acetate (MPA) 400 mg IM has previously been shown (Loprinzi CL, et al. J Clin Oncol 2006;24:1409) to be the most effective non-estrogen therapy available for menopausal hot flashes (HF) but long-term evidence of safety in survivors of ER+BC is lacking.
Methods
Consecutive patients previously diagnosed with ER+BC who received MPA for HF between January 2007 and December 2012 were retrospectively identified in the breast cancer patient database at Mayo Clinic Arizona. Medical records were audited for breast cancer outcomes in these cases and in contemporaneous control patients with ER+BC who did not receive MPA, matched for age, stage of disease, and year of diagnosis. Statistical comparisons of local-regional recurrence and event-free survival were performed.
Results
92 patients who received MPA were identified and matched 1:1 with contemporaneous controls. Median follow-up duration was 5.7 years in cases and 4.5 years in controls. Estimated local-regional recurrence free survival at 10 years was 85% (95% CI, 72-100%) in cases and 95% (95% CI, 86-100%) in controls. Matched pairs hazard ratio was 1.0 (95% CI, 0.06-16.0) for local-regional recurrence free survival. Estimated event-free survival at 10 years was 81% (95% CI, 69-97%) in cases and 76% (95% CI, 64-92%) in controls. Matched pairs hazard ratio was 0.38 (95% CI, 0.10-1.41) for event-free survival. The majority (77%) of case patients experienced satisfactory relief of hot flashes from MPA injection.
Conclusion
In this retrospective case-control study we were unable to identify a detrimental effect of MPA therapy for HF in survivors of ER+BC. MPA may be acceptable for management of HF in this population.
Citation Format: Ertz-Archambault N, Rogoff L, Kosiorek H, Ernst B, Anderson K, Pockaj B, Gray R, Northfelt D. Depomedroxyprogesterone therapy for hot flashes in survivors of ER-expressing breast cancer: Impact on recurrence and survival [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P1-11-13.
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Affiliation(s)
| | - L Rogoff
- Mayo Clinic Arizona, Phoenix, AZ; Mayo Clinic Florida, Jacksonville, FL
| | - H Kosiorek
- Mayo Clinic Arizona, Phoenix, AZ; Mayo Clinic Florida, Jacksonville, FL
| | - B Ernst
- Mayo Clinic Arizona, Phoenix, AZ; Mayo Clinic Florida, Jacksonville, FL
| | - K Anderson
- Mayo Clinic Arizona, Phoenix, AZ; Mayo Clinic Florida, Jacksonville, FL
| | - B Pockaj
- Mayo Clinic Arizona, Phoenix, AZ; Mayo Clinic Florida, Jacksonville, FL
| | - R Gray
- Mayo Clinic Arizona, Phoenix, AZ; Mayo Clinic Florida, Jacksonville, FL
| | - D Northfelt
- Mayo Clinic Arizona, Phoenix, AZ; Mayo Clinic Florida, Jacksonville, FL
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Desnick R, Sardh E, Harper P, Balwani M, Stein P, Rees D, Bloomer J, Bissel D, Park C, Phillips J, Bonkovsky H, Anderson K. Étude de phase 1/2 et d’extension en ouvert du Givosiran, un agent thérapeutique ARNi expérimental chez des patients atteints de porphyrie aiguë intermittente. Rev Med Interne 2018. [DOI: 10.1016/j.revmed.2018.10.164] [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: 11/30/2022]
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Anderson K, Holmes S, Siegel C. VIRTUAL CARE FARMS: A CREATIVE APPROACH TO ADDRESSING LONELINESS AND BUILDING COMMUNITY. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.1821] [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: 11/13/2022] Open
Affiliation(s)
- K Anderson
- University of Montana, School of Social Work
| | - S Holmes
- University of Maryland Baltimore
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Cañadas-Garre M, Anderson K, McGoldrick J, Maxwell AP, McKnight AJ. Genomic approaches in the search for molecular biomarkers in chronic kidney disease. J Transl Med 2018; 16:292. [PMID: 30359254 PMCID: PMC6203198 DOI: 10.1186/s12967-018-1664-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Accepted: 10/14/2018] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) is recognised as a global public health problem, more prevalent in older persons and associated with multiple co-morbidities. Diabetes mellitus and hypertension are common aetiologies for CKD, but IgA glomerulonephritis, membranous glomerulonephritis, lupus nephritis and autosomal dominant polycystic kidney disease are also common causes of CKD. MAIN BODY Conventional biomarkers for CKD involving the use of estimated glomerular filtration rate (eGFR) derived from four variables (serum creatinine, age, gender and ethnicity) are recommended by clinical guidelines for the evaluation, classification, and stratification of CKD. However, these clinical biomarkers present some limitations, especially for early stages of CKD, elderly individuals, extreme body mass index values (serum creatinine), or are influenced by inflammation, steroid treatment and thyroid dysfunction (serum cystatin C). There is therefore a need to identify additional non-invasive biomarkers that are useful in clinical practice to help improve CKD diagnosis, inform prognosis and guide therapeutic management. CONCLUSION CKD is a multifactorial disease with associated genetic and environmental risk factors. Hence, many studies have employed genetic, epigenetic and transcriptomic approaches to identify biomarkers for kidney disease. In this review, we have summarised the most important studies in humans investigating genomic biomarkers for CKD in the last decade. Several genes, including UMOD, SHROOM3 and ELMO1 have been strongly associated with renal diseases, and some of their traits, such as eGFR and serum creatinine. The role of epigenetic and transcriptomic biomarkers in CKD and related diseases is still unclear. The combination of multiple biomarkers into classifiers, including genomic, and/or epigenomic, may give a more complete picture of kidney diseases.
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Affiliation(s)
- M. Cañadas-Garre
- Epidemiology and Public Health Research Group, Centre for Public Health, Belfast City Hospital, Queen’s University of Belfast, c/o University Floor, Level A, Tower Block, Lisburn Road, Belfast, BT9 7AB Northern Ireland UK
| | - K. Anderson
- Epidemiology and Public Health Research Group, Centre for Public Health, Belfast City Hospital, Queen’s University of Belfast, c/o University Floor, Level A, Tower Block, Lisburn Road, Belfast, BT9 7AB Northern Ireland UK
| | - J. McGoldrick
- Epidemiology and Public Health Research Group, Centre for Public Health, Belfast City Hospital, Queen’s University of Belfast, c/o University Floor, Level A, Tower Block, Lisburn Road, Belfast, BT9 7AB Northern Ireland UK
| | - A. P. Maxwell
- Epidemiology and Public Health Research Group, Centre for Public Health, Belfast City Hospital, Queen’s University of Belfast, c/o University Floor, Level A, Tower Block, Lisburn Road, Belfast, BT9 7AB Northern Ireland UK
- Regional Nephrology Unit, Belfast City Hospital, Belfast, UK
| | - A. J. McKnight
- Epidemiology and Public Health Research Group, Centre for Public Health, Belfast City Hospital, Queen’s University of Belfast, c/o University Floor, Level A, Tower Block, Lisburn Road, Belfast, BT9 7AB Northern Ireland UK
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Gunderson S, Anderson K, Riley J, Woolfolk C, Jimenez P. Does the addition of a GnRH antagonist on day of HCG trigger in couples undergoing an antagonist protocol for in vitro fertilization (IVF) increase total oocyte yield? Fertil Steril 2018. [DOI: 10.1016/j.fertnstert.2018.07.949] [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: 10/28/2022]
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Tang WW, McGee P, Lachin JM, Li DY, Hoogwerf B, Hazen SL, Nathan D, Zinman B, Crofford O, Genuth S, Brown‐Friday J, Crandall J, Engel H, Engel S, Martinez H, Phillips M, Reid M, Shamoon H, Sheindlin J, Gubitosi‐Klug R, Mayer L, Pendegast S, Zegarra H, Miller D, Singerman L, Smith‐Brewer S, Novak M, Quin J, Genuth S, Palmert M, Brown E, McConnell J, Pugsley P, Crawford P, Dahms W, Gregory N, Lackaye M, Kiss S, Chan R, Orlin A, Rubin M, Brillon D, Reppucci V, Lee T, Heinemann M, Chang S, Levy B, Jovanovic L, Richardson M, Bosco B, Dwoskin A, Hanna R, Barron S, Campbell R, Bhan A, Kruger D, Jones J, Edwards P, Bhan A, Carey J, Angus E, Thomas A, Galprin A, McLellan M, Whitehouse F, Bergenstal R, Johnson M, Gunyou K, Thomas L, Laechelt J, Hollander P, Spencer M, Kendall D, Cuddihy R, Callahan P, List S, Gott J, Rude N, Olson B, Franz M, Castle G, Birk R, Nelson J, Freking D, Gill L, Mestrezat W, Etzwiler D, Morgan K, Aiello L, Golden E, Arrigg P, Asuquo V, Beaser R, Bestourous L, Cavallerano J, Cavicchi R, Ganda O, Hamdy O, Kirby R, Murtha T, Schlossman D, Shah S, Sharuk G, Silva P, Silver P, Stockman M, Sun J, Weimann E, Wolpert H, Aiello L, Jacobson A, Rand L, Rosenzwieg J, Nathan D, Larkin M, Christofi M, Folino K, Godine J, Lou P, Stevens C, Anderson E, Bode H, Brink S, Cornish C, Cros D, Delahanty L, eManbey ., Haggan C, Lynch J, McKitrick C, Norman D, Moore D, Ong M, Taylor C, Zimbler D, Crowell S, Fritz S, Hansen K, Gauthier‐Kelly C, Service F, Ziegler G, Barkmeier A, Schmidt L, French B, Woodwick R, Rizza R, Schwenk W, Haymond M, Pach J, Mortenson J, Zimmerman B, Lucas A, Colligan R, Luttrell L, Lopes‐Virella M, Caulder S, Pittman C, Patel N, Lee K, Nutaitis M, Fernandes J, Hermayer K, Kwon S, Blevins A, Parker J, Colwell J, Lee D, Soule J, Lindsey P, Bracey M, Farr A, Elsing S, Thompson T, Selby J, Lyons T, Yacoub‐Wasef S, Szpiech M, Wood D, Mayfield R, Molitch M, Adelman D, Colson S, Jampol L, Lyon A, Gill M, Strugula Z, Kaminski L, Mirza R, Simjanoski E, Ryan D, Johnson C, Wallia A, Ajroud‐Driss S, Astelford P, Leloudes N, Degillio A, Schaefer B, Mudaliar S, Lorenzi G, Goldbaum M, Jones K, Prince M, Swenson M, Grant I, Reed R, Lyon R, Kolterman O, Giotta M, Clark T, Friedenberg G, Sivitz W, Vittetoe B, Kramer J, Bayless M, Zeitler R, Schrott H, Olson N, Snetselaar L, Hoffman R, MacIndoe J, Weingeist T, Fountain C, Miller R, Johnsonbaugh S, Patronas M, Carney M, Mendley S, Salemi P, Liss R, Hebdon M, Counts D, Donner T, Gordon J, Hemady R, Kowarski A, Ostrowski D, Steidl S, Jones B, Herman W, Martin C, Pop‐Busui R, Greene D, Stevens M, Burkhart N, Sandford T, Floyd J, Bantle J, Flaherty N, Terry J, Koozekanani D, Montezuma S, Wimmergren N, Rogness B, Mech M, Strand T, Olson J, McKenzie L, Kwong C, Goetz F, Warhol R, Hainsworth D, Goldstein D, Hitt S, Giangiacomo J, Schade D, Canady J, Burge M, Das A, Avery R, Ketai L, Chapin J, Schluter M, Rich J, Johannes C, Hornbeck D, Schutta M, Bourne P, Brucker A, Braunstein S, Schwartz S, Maschak‐Carey B, Baker L, Orchard T, Cimino L, Songer T, Doft B, Olson S, Becker D, Rubinstein D, Bergren R, Fruit J, Hyre R, Palmer C, Silvers N, Lobes L, Rath PP, Conrad P, Yalamanchi S, Wesche J, Bratkowksi M, Arslanian S, Rinkoff J, Warnicki J, Curtin D, Steinberg D, Vagstad G, Harris R, Steranchak L, Arch J, Kelly K, Ostrosaka P, Guiliani M, Good M, Williams T, Olsen K, Campbell A, Shipe C, Conwit R, Finegold D, Zaucha M, Drash A, Morrison A, Malone J, Bernal M, Pavan P, Grove N, Tanaka E, McMillan D, Vaccaro‐Kish J, Babbione L, Solc H, DeClue T, Dagogo‐Jack S, Wigley C, Ricks H, Kitabchi A, Chaum E, Murphy M, Moser S, Meyer D, Iannacone A, Yoser S, Bryer‐Ash M, Schussler S, Lambeth H, Raskin P, Strowig S, Basco M, Cercone S, Zinman B, Barnie A, Devenyi R, Mandelcorn M, Brent M, Rogers S, Gordon A, Bakshi N, Perkins B, Tuason L, Perdikaris F, Ehrlich R, Daneman D, Perlman K, Ferguson S, Palmer J, Fahlstrom R, de Boer I, Kinyoun J, Van Ottingham L, Catton S, Ginsberg J, McDonald C, Harth J, Driscoll M, Sheidow T, Mahon J, Canny C, Nicolle D, Colby P, Dupre J, Hramiak I, Rodger N, Jenner M, Smith T, Brown W, May M, Lipps Hagan J, Agarwal A, Adkins T, Lorenz R, Feman S, Survant L, White N, Levandoski L, Grand G, Thomas M, Joseph D, Blinder K, Shah G, Burgess D, Boniuk I, Santiago J, Tamborlane W, Gatcomb P, Stoessel K, Ramos P, Fong K, Ossorio P, Ahern J, Gubitosi‐Klug R, Meadema‐Mayer L, Beck C, Farrell K, Genuth S, Quin J, Gaston P, Palmert M, Trail R, Dahms W, Lachin J, Backlund J, Bebu I, Braffett B, Diminick L, Gao X, Hsu W, Klumpp K, Pan H, Trapani V, Cleary P, McGee P, Sun W, Villavicencio S, Anderson K, Dews L, Younes N, Rutledge B, Chan K, Rosenberg D, Petty B, Determan A, Kenny D, Williams C, Cowie C, Siebert C, Steffes M, Arends V, Bucksa J, Nowicki M, Chavers B, O'Leary D, Polak J, Harrington A, Funk L, Crow R, Gloeb B, Thomas S, O'Donnell C, Soliman E, Zhang Z, Li Y, Campbell C, Keasler L, Hensley S, Hu J, Barr M, Taylor T, Prineas R, Feldman E, Albers J, Low P, Sommer C, Nickander K, Speigelberg T, Pfiefer M, Schumer M, Moran M, Farquhar J, Ryan C, Sandstrom D, Williams T, Geckle M, Cupelli E, Thoma F, Burzuk B, Woodfill T, Danis R, Blodi B, Lawrence D, Wabers H, Gangaputra S, Neill S, Burger M, Dingledine J, Gama V, Sussman R, Davis M, Hubbard L, Budoff M, Darabian S, Rezaeian P, Wong N, Fox M, Oudiz R, Kim L, Detrano R, Cruickshanks K, Dalton D, Bainbridge K, Lima J, Bluemke D, Turkbey E, der Geest ., Liu C, Malayeri A, Jain A, Miao C, Chahal H, Jarboe R, Nathan D, Monnier V, Sell D, Strauch C, Hazen S, Pratt A, Tang W, Brunzell J, Purnell J, Natarajan R, Miao F, Zhang L, Chen Z, Paterson A, Boright A, Bull S, Sun L, Scherer S, Lopes‐Virella M, Lyons T, Jenkins A, Klein R, Virella G, Jaffa A, Carter R, Stoner J, Garvey W, Lackland D, Brabham M, McGee D, Zheng D, Mayfield R, Maynard J, Wessells H, Sarma A, Jacobson A, Dunn R, Holt S, Hotaling J, Kim C, Clemens Q, Brown J, McVary K. Oxidative Stress and Cardiovascular Risk in Type 1 Diabetes Mellitus: Insights From the DCCT/EDIC Study. J Am Heart Assoc 2018. [PMCID: PMC6015340 DOI: 10.1161/jaha.117.008368] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background
Hyperglycemia leading to increased oxidative stress is implicated in the increased risk for the development of macrovascular and microvascular complications in patients with type 1 diabetes mellitus.
Methods and Results
A random subcohort of 349 participants was selected from the
DCCT
/
EDIC
(Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications) cohort. This included 320 controls and 29 cardiovascular disease cases that were augmented with 98 additional known cases to yield a case cohort of 447 participants (320 controls, 127 cases). Biosamples from
DCCT
baseline, year 1, and closeout of
DCCT
, and 1 to 2 years post‐
DCCT
(
EDIC
years 1 and 2) were measured for markers of oxidative stress, including plasma myeloperoxidase, paraoxonase activity, urinary F
2α
isoprostanes, and its metabolite, 2,3 dinor‐8
iso
prostaglandin F
2α
. Following adjustment for glycated hemoblobin and weighting the observations inversely proportional to the sampling selection probabilities, higher paraoxonase activity, reflective of antioxidant activity, and 2,3 dinor‐8
iso
prostaglandin F
2α
, an oxidative marker, were significantly associated with lower risk of cardiovascular disease (−4.5% risk for 10% higher paraoxonase,
P
<0.003; −5.3% risk for 10% higher 2,3 dinor‐8
iso
prostaglandin F
2α
,
P
=0.0092). In contrast, the oxidative markers myeloperoxidase and F
2α
isoprostanes were not significantly associated with cardiovascular disease after adjustment for glycated hemoblobin. There were no significant differences between
DCCT
intensive and conventional treatment groups in the change in all biomarkers across time segments.
Conclusions
Heightened antioxidant activity (rather than diminished oxidative stress markers) is associated with lower cardiovascular disease risk in type 1 diabetes mellitus, but these biomarkers did not change over time with intensification of glycemic control.
Clinical Trial Registration
URL
:
https://www.clinicaltrials.gov
. Unique identifiers:
NCT
00360815 and
NCT
00360893.
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Affiliation(s)
- W.H. Wilson Tang
- Department of Cellular and Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH
| | - Paula McGee
- The Biostatistics Center, George Washington University, Rockville, MD
| | - John M. Lachin
- The Biostatistics Center, George Washington University, Rockville, MD
| | - Daniel Y. Li
- Department of Cellular and Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
| | | | - Stanley L. Hazen
- Department of Cellular and Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH
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Chan E, Quinn C, Hirji I, Hillengass J, Anderson K, Oukessou A, Davis C. Alternative metrics for assessing clinical benefit with immunotherapy in oncology. Oncoimmunology 2018; 8:e1343774. [PMID: 31646068 DOI: 10.1080/2162402x.2017.1343774] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [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: 04/12/2017] [Revised: 06/08/2017] [Accepted: 06/12/2017] [Indexed: 01/09/2023] Open
Abstract
Therapies for cancer have traditionally been assessed with metrics such as the response rate, hazard ratio, or median survival. Such metrics have value in measuring the outcomes of conventional therapies, but may not be the most appropriate for new therapies. Immuno-oncology therapies offer a new approach to treating cancer by stimulating patients' immune systems to fight cancer. The value of these novel therapies has so far been assessed with traditional metrics, but the different ways in which immuno-oncology therapies work can mean the full value is not captured. Immuno-oncology therapies can produce longer survival times but this effect can be delayed or even preceded by an apparent phase of progression, which median survival or response rates may not reflect. This paper discusses a range of traditional and alternative metrics and their benefits or disadvantages in measuring the effects of immuno-oncology therapies, using examples of several novel drugs as case studies.
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Affiliation(s)
- E Chan
- PRMA Consulting, Linea House, Ancells Business Park, Harvest Crescent, Fleet, GU51 2UZ, UK
| | - C Quinn
- PRMA Consulting, Linea House, Ancells Business Park, Harvest Crescent, Fleet, GU51 2UZ, UK
| | - I Hirji
- Bristol-Myers Squibb, Princeton, NJ, USA
| | - J Hillengass
- Heidelberg University, Grabengasse 1, 69117 Heidelberg, Germany
| | - K Anderson
- Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, MA, USA
| | - A Oukessou
- Bristol-Myers Squibb, Princeton, NJ, USA
| | - C Davis
- Bristol-Myers Squibb, Princeton, NJ, USA
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Anderson K, Rucker A, Mulvihill M, Yerokun B, Hartwig M. Impact of Ischemic Time on Primary Graft Dysfunction: A National Analysis. J Heart Lung Transplant 2018. [DOI: 10.1016/j.healun.2018.01.1194] [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: 10/17/2022] Open
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Anderson K, Wilkinson R, Grant M. Assessment of Liver Function in Primary Cultures of Hepatocytes Using Diethoxy (5,6) Chloromethylfluorescein and Confocal Laser Scanning Microscopy. Int J Artif Organs 2018. [DOI: 10.1177/039139889802100602] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
A method is presented which can be used to assess the function of hepatocytes in complex culture configurations without disrupting the integrity of the cell environment. It utilises a fluorescent probe for cytochrome P450 dependent mixed function oxidase (MFO) activity, diethoxy (5,6) chloromethylfluorescein, and confocal laser scanning microscopy. The MFO activity of individual cells in primary cultures of intact hepatocytes can be detected in situ, and quantified by image analysis. This may be a valuable means of monitoring the effect of culture conditions on the function of bioartificial liver devices, and could be used to assess the need for effective oxygenation of cells, the influence of shear stress and of exposure to patient serum during clinical use.
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Affiliation(s)
- K. Anderson
- Bioengineering Unit, Strathclyde University, Wolfson Centre, Glasgow - UK
| | - R. Wilkinson
- Bioengineering Unit, Strathclyde University, Wolfson Centre, Glasgow - UK
| | - M.H. Grant
- Bioengineering Unit, Strathclyde University, Wolfson Centre, Glasgow - UK
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Grant M, Rodgers E, Anderson K, Haydon G, Hayes P. The Effect of Serum from Liver Cancer Patients on the Growth and Function of Primary and Immortalised Hepatocytes. Int J Artif Organs 2018. [DOI: 10.1177/039139880102401108] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [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
A limiting factor in the efficacy of bioartificial liver (BAL) for the treatment of liver failure is the toxicity of the patients’ serum to the hepatocytes in the device. This study investigates the interaction of liver cancer patient serum with primary and immortalised rat hepatocytes. Liver cancer serum increased the growth rate of immortalised hepatocytes, without affecting reduced glutathione levels. The activities of DT-diaphorase and pi glutathione-S-transferase (GST), enzymes associated with de-differentiation, were also increased. Exposure of primary hepatocytes to liver cancer serum resulted in a decrease in cytochrome P450 (CYP) content, and in P450 dependent metabolism of testosterone. Formation of 2-alpha- and 6-beta- hydroxy testosterone was decreased. These reactions are predominantly associated with CYP 2C11 and 3A1 respectively in normal rat liver. The activity of total GST was also decreased, although that of the pi isoenzyme of GST was not affected. Our results suggest that exposure of hepatocytes in a bioreactor to liver cancer patient serum will result in overgrowth of cells, if proliferating cells are being used, and in de-differentiation. The serum may have to be pretreated with adsorbants to remove toxins prior to BAL treatment.
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Affiliation(s)
- M.H. Grant
- Bioengineering Unit, University of Strathclyde, Glasgow - Scotland
| | - E.H. Rodgers
- Bioengineering Unit, University of Strathclyde, Glasgow - Scotland
| | - K. Anderson
- Bioengineering Unit, University of Strathclyde, Glasgow - Scotland
| | - G.H. Haydon
- Liver Unit, Department of Medicine, University of Edinburgh, Royal Infirmary, Edinburgh - Scotland
| | - P.C. Hayes
- Liver Unit, Department of Medicine, University of Edinburgh, Royal Infirmary, Edinburgh - Scotland
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Bolli N, Biancon G, Moarii M, Gimondi S, Li Y, de Philippis C, Maura F, Sathiaseelan V, Tai YT, Mudie L, O’Meara S, Raine K, Teague JW, Butler AP, Carniti C, Gerstung M, Bagratuni T, Kastritis E, Dimopoulos M, Corradini P, Anderson K, Moreau P, Minvielle S, Campbell PJ, Papaemmanuil E, Avet-Loiseau H, Munshi NC. Analysis of the genomic landscape of multiple myeloma highlights novel prognostic markers and disease subgroups. Leukemia 2017. [DOI: 10.1038/leu.2017.344] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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