An analysis of the link between strokes and soils in the South Carolina coastal plains

References

• Howard , G. 1999 . Why do we have a stroke belt in the southeastern United States? A review of unlikely and uninvestigated potential causes . Am. J. Med. Sci. , 317 : 160 – 167 .
   PubMed Web of Science ®Google Scholar
• Lackland , D. T. , Egan , B. M. and Jones , P. J. 1999 . Impact of nativity and race on “Stroke Belt” mortality . Hypertension , 34 : 57 – 62 .
   PubMed Web of Science ®Google Scholar
• Fang , J. , Madhavan , S. and Alderman , M. H. 1996 . The association between birthplace and mortality from cardiovascular causes among black and white residents of New York City . N. Engl. J. Med. , 335 : 1545 – 1551 .
   PubMed Web of Science ®Google Scholar
• Glymour , M. M. , Avendano , M. and Berkman , L. F. 2007 . Is the ‘stroke belt’ worn from childhood? Risk of first stroke and state of residence in childhood and adulthood . Stroke , 38 : 2415 – 2421 .
   Web of Science ®Google Scholar
• Shrira , I. , Christenfeld , N. and Howard , G. 2008 . Exposure to the US Stroke Buckle as a risk factor for cerebrovascular mortality . Neuroepidemiology , 30 : 229 – 233 .
   PubMed Web of Science ®Google Scholar
• Elliott , P. and Wartenberg , D. 2004 . Spatial epidemiology: Current approaches and future challenges . Environ. Health Persp. , 112 : 998 – 1006 .
   PubMed Web of Science ®Google Scholar
• Ostfeld , R. S. , Glass , G. E. and Keesing , F. 2005 . Spatial epidemiology: an emerging (or re-emerging) discipline . Trends Ecol. Evol. , 20 : 328 – 336 .
   PubMed Web of Science ®Google Scholar
• Rezaeian , M. , Dunn , G. , St Leger , S. and Appleby , L. 2007 . Geographical epidemiology, spatial analysis and geographical information systems: a multidisciplinary glossary . J. Epidemiol. Commun. H. , 61 : 98 – 102 .
   PubMed Web of Science ®Google Scholar
• Ryan , L. 2009 . Spatial epidemiology some pitfalls and opportunities . Epidemiology , 20 : 242 – 244 .
   Web of Science ®Google Scholar
• Goovaerts , P. 2006 . Geostatistical analysis of disease data: Visualization and propagation of spatial uncertainty in cancer mortality risk using Poisson kriging and p-field simulation . Int J. Health Geogr. , 5 : 26 art. no. 7
   Google Scholar
• Guan , W. W. , Burns , B. , Finkelstein , J. L. and Blossom , J. C. 2011 . Enabling geographic research across disciplines: Building an institutional infrastructure for geographic analysis at Harvard University . J. Map Geogr. Libr. , 7 : 36 – 60 .
   Google Scholar
• Glass , G. E. , Schwartz , B. S. , Morgan , J. M. , Johnson , D. T. , Noy , P. M. and Israel , E. 1995 . Environmental risk factors for Lyme disease identified with geographic information systems . Am. J. Public Health , 85 : 944 – 948 .
   PubMed Web of Science ®Google Scholar
• Walter , W. D. , Walsh , D. P. , Farnsworth , M. L. , Winkelman , D. L. and Miller , M. W. 2011 . Soil clay content underlies prion infection odds . Nature Commun. , 2 : 6 art. no. 200
   Google Scholar
• Wimmer , M. L.J. , Sandmann-Strupp , R. , Saikku , P. and Haberl , R. L. 1996 . Association of chlamydial infection with cerebrovascular disease . Stroke , 27 : 2207 – 2210 .
   PubMed Web of Science ®Google Scholar
• Matsuo , J. , Kobayashi , M. , Nakamura , S. , Mizutani , Y. , Yao , T. , Hirai , I. , Yamamoto , Y. and Yamaguchi , H. 2010 . Stability of Chlamydophila pneumoniae in a harsh environment without a requirement for acanthamoebae . Microbiol. Immunol. , 54 : 63 – 73 .
   Web of Science ®Google Scholar
• Bodetti , T. J. , Jacobson , E. , Wan , C. , Hafner , L. , Pospischil , A. , Rose , K. and Timms , P. 2002 . Molecular evidence to support the expansion of the hostrange of Chlamydophila pneumoniae to include reptiles as well as humans, horses, koalas and amphibians . Syst. Appl. Microbiol. , 25 : 146 – 152 .
   PubMed Web of Science ®Google Scholar
• Drenovsky , R. E. , Vo , D. , Graham , K. J. and Scow , K. M. 2004 . Soil water content and organic carbon availability are major determinants of soil microbial community composition . Microb. Ecol. , 48 : 424 – 430 .
   PubMed Web of Science ®Google Scholar
• Lauber , C. L. , Hamady , M. , Knight , R. and Fierer , N. 2009 . Pyrosequencing-based assessment of soil pH as a predictor of soil bacterial community structure at the continental scale . Appl. Environ. Microbiol. , 75 : 5111 – 5120 .
   PubMed Web of Science ®Google Scholar
• Griffiths , R. I. , Thomson , B. C. , James , P. , Bell , T. , Bailey , M. and Whiteley , A. S. 2011 . The bacterial biogeography of British soils . Environ. Microbiol. , 13 : 1642 – 1654 .
   PubMed Web of Science ®Google Scholar
• Skinner , R. J. and Todd , A. D. 1998 . Twenty-five years of monitoring pH and nutrient status of soils in England and Wales . Soil Use Manage. , 14 : 162 – 169 .
   Web of Science ®Google Scholar
• Morris , R. W. , Whincup , P. H. , Emberson , J. R. , Lampe , F. C. , Walker , M. and Shaper , A. G. 2003 . North-South gradients in Britain for stroke and CHD: Are they explained by the same factors? . Stroke , 34 : 2604 – 2609 .
   Web of Science ®Google Scholar
• Hartmann , M. , Frey , B. , Kolliker , R. and Widmer , F. 2005 . Semi-automated genetic analyses of soil microbial communities: Comparison of T-RFLP and RISA based on descriptive and discriminative statistical approaches . J. Microbiol. Meth. , 61 : 349 – 360 .
   PubMed Web of Science ®Google Scholar
• Orcutt , B. , Bailey , B. , Staudigel , H. , Tebo , B. M. and Edwards , K. J. 2009 . An interlaboratory comparison of 16S rRNA gene-based terminal restriction fragment length polymorphism and sequencing methods for assessing microbial diversity of seafloor basalts . Environ. Microbiol. , 11 : 1728 – 1735 .
   PubMed Web of Science ®Google Scholar
• Palmer , C. , Bik , E. M. , DiGiulio , D. B. , Relman , D. A. and Brown , P. O. 2007 . Development of the human infant intestinal microbiota . PLoS Biol. , 5 : 1556 – 1573 .
   Web of Science ®Google Scholar
• Zweifel , U. L. , Fahlgren , C. , Bratbak , G. , Sandaa , R. A. and Thyrhaug , R. 2011 . Diversity of airborne bacteria in samples collected using different devices for aerosol collection . Aerobiologia , 27 : 107 – 120 .
   Web of Science ®Google Scholar
• Pakarinen , J. , Hyvarinen , A. , Salkinoja-Salonen , M. , Laitinen , S. , Nevalainen , A. , Makela , M. J. , Haahtela , T. and von Hertzen , L. 2008 . Predominance of Gram-positive bacteria in house dust in the low-allergy risk Russian Karelia . Environ. Microbiol. , 10 : 3317 – 3325 .
   PubMed Web of Science ®Google Scholar
• Lazarevic , V. , Whiteson , K. , Huse , S. , Hernandez , D. , Farinelli , L. , Osteras , M. , Schrenzel , J. and Francois , P. 2009 . Metagenomic study of the oral microbiota by Illumina high-throughput sequencing . J Microbiol Methods , 79 : 266 – 271 .
   PubMed Web of Science ®Google Scholar
• Beck , J. , Garcia , R. , Heiss , G. , Vokonas , P. S. and Offenbacher , S. 1996 . Periodontal disease and cardiovascular disease . J. Periodontol. , 67 : 1123 – 1137 .
   PubMed Web of Science ®Google Scholar
• Peccia , J. and Hernandez , M. 2006 . Incorporating polymerase chain reaction-based identification, population characterization, and quantification of microorganisms into aerosol science: A review . Atmos. Environ. , 40 : 3941 – 3961 .
   Web of Science ®Google Scholar
• Noble , R. T. , Blackwood , A. D. , Griffith , J. F. , McGee , C. D. and Weisberg , S. B. 2010 . Comparison of rapid quantitative PCR-based and conventional culture-based methods for enumeration of Enterococcus spp. and Escherichia coli in recreational waters . Appl Environ Microbiol , 76 : 7437 – 7443 .
   PubMed Web of Science ®Google Scholar
• Ducey , T. F. , Shriner , A. D. and Hunt , P. G. 2011 . Nitrification and denitrification gene abundances in swine wastewater anaerobic lagoons . J. Environ. Qual. , 40 : 610 – 619 .
   Web of Science ®Google Scholar
• Fierer , N. , Bradford , M. A. and Jackson , R. B. 2007 . Toward an ecological classification of soil bacteria . Ecology , 88 : 1354 – 1364 .
   PubMed Web of Science ®Google Scholar
• Chiang , C. H. , Huang , C. C. , Chan , W. L. , Chen , Y. C. , Chen , T. J. , Lin , S. J. , Chen , J. W. and Leu , H. B. 2011 . Association between mycoplasma pneumonia and increased risk of ischemic stroke: A nationwide study . Stroke , 42 : 2940 – 2943 .
   PubMed Web of Science ®Google Scholar
• Elkind , M. S.V. 2010 . Infectious burden: A new risk factor and treatment target for atherosclerosis . Infect. Disord. Drug Targets , 10 : 84 – 90 .
   Google Scholar
• Melnick , S. L. , Shahar , E. , Folsom , A. R. , Grayston , J. T. , Sorlie , P. D. , Wang , S. P. and Szklo , M. 1993 . Past infection by Chlamydia pneumoniae strain TWAR and asymptomatic carotid atherosclerosis . Am. J. Med. , 95 : 499 – 504 .
   PubMed Web of Science ®Google Scholar
• Peterson , J. , Garges , S. , Giovanni , M. , McInnes , P. , Wang , L. , Schloss , J. A. , Bonazzi , V. , McEwen , J. E. , Wetterstrand , K. A. , Deal , C. , Baker , C. C. , Di Francesco , V. , Howcroft , T. K. , Karp , R. W. , Lunsford , R. D. , Wellington , C. R. , Belachew , T. , Wright , M. , Giblin , C. , David , H. , Mills , M. , Salomon , R. , Mullins , C. , Akolkar , B. , Begg , L. , Davis , C. , Grandison , L. , Humble , M. , Khalsa , J. , Little , A. R. , Peavy , H. , Pontzer , C. , Portnoy , M. , Sayre , M. H. , Starke-Reed , P. , Zakhari , S. , Read , J. , Watson , B. and Guyer , M. 2009 . The NIH Human Microbiome Project . Genome Res. , 19 : 2317 – 2323 .
   PubMed Web of Science ®Google Scholar
• Turnbaugh , P. J. , Ley , R. E. , Hamady , M. , Fraser-Liggett , C. M. , Knight , R. and Gordon , J. I. 2007 . The human microbiome project . Nature , 449 : 804 – 810 .
   PubMed Web of Science ®Google Scholar
• Ordovas , J. M. and Mooser , V. 2006 . Metagenomics: the role of the microbiome in cardiovascular diseases . Curr. Opin. Lipidol. , 17 : 157 – 161 .
   Web of Science ®Google Scholar
• Manichanh , C. , Rigottier-Gois , L. , Bonnaud , E. , Gloux , K. , Pelletier , E. , Frangeul , L. , Nalin , R. , Jarrin , C. , Chardon , P. , Marteau , P. , Roca , J. and Dore , J. 2006 . Reduced diversity of faecal microbiota in Crohn's disease revealed by a metagenomic approach . Gut , 55 : 205 – 211 .
   PubMed Web of Science ®Google Scholar
• Sokol , H. , Seksik , P. , Furet , J. P. , Firmesse , O. , Nion-Larmurier , I. , Beaugerie , L. , Cosnes , J. , Corthier , G. , Marteau , P. and Dore , J. 2009 . Low counts of Faecalibacterium prausnitzii in colitis microbiota . Inflamm. Bowel Dis. , 15 : 1183 – 1189 .
   PubMed Web of Science ®Google Scholar
• Sokol , H. , Seksik , P. , Rigottier-Gois , L. , Lay , C. , Lepage , P. , Podglajen , I. , Marteau , P. and Dore , J. 2006 . Specificities of the fecal microbiota in inflammatory bowel disease . Inflamm. Bowel Dis. , 12 : 106 – 111 .
   PubMed Web of Science ®Google Scholar
• Sokol , H. , Pigneur , B. , Watterlot , L. , Lakhdari , O. , Bermudez-Humaran , L. G. , Gratadoux , J. J. , Blugeon , S. , Bridonneau , C. , Furet , J. P. , Corthier , G. , Grangette , C. , Vasquez , N. , Pochart , P. , Trugnan , G. , Thomas , G. , Blottiere , H. M. , Dore , J. , Marteau , P. , Seksik , P. and Langella , P. 2008 . Faecalibacterium prausnitzii is an anti-inflammatory commensal bacterium identified by gut microbiota analysis of Crohn disease patients . P. Natl. Acad. Sci. USA , 105 : 16731 – 16736 .
   PubMed Web of Science ®Google Scholar