Literature DB >> 22262052

Endogenous or exogenous spreading of HIV-1 in Nordrhein-Westfalen, Germany, investigated by phylodynamic analysis of the RESINA Study cohort.

Glenn Lawyer1, Eugen Schülter, Rolf Kaiser, Stefan Reuter, Mark Oette, Thomas Lengauer.   

Abstract

HIV's genetic instability means that sequence similarity can illuminate the underlying transmission network. Previous application of such methods to samples from the United Kingdom has suggested that as many as 86% of UK infections arose outside of the country, a conclusion contrary to usual patterns of disease spread. We investigated transmission networks in the Resina cohort, a 2,747 member sample from Nordrhein-Westfalen, Germany, sequenced at therapy start. Transmission networks were determined by thresholding the pairwise genetic distance in the pol gene at 96.8% identity. At first blush the results concurred with the UK studies. Closer examination revealed four large and growing transmission networks that encompassed all major transmission groups. One of these formed a supercluster containing 71% of the sex with men (MSM) subjects when the network was thresholded at levels roughly equivalent to those used in the UK studies, though methodological differences suggest that this threshold may be too generous in the current data. Examination of the endo- versus exogenesis hypothesis by testing whether infections that were exogenous to Cologne or to Dusseldorf were endogenous to the greater region supported endogenous spread in MSM subjects and exogenous spread in the endemic transmission group. In intravenous drug using group subjects, it depended on viral strain, with subtype B sequences appearing to have origin exogenous to the Resina data, while non-B sequences (primarily subtype A) were almost completely endogenous to their local community. These results suggest that, at least in Germany, the question of endogenous versus exogenous linkages depends on subject group.

Entities:  

Mesh:

Year:  2012        PMID: 22262052     DOI: 10.1007/s00430-011-0228-8

Source DB:  PubMed          Journal:  Med Microbiol Immunol        ISSN: 0300-8584            Impact factor:   3.402


  20 in total

Review 1.  HIV-1 molecular epidemiology evidence and transmission patterns in the Middle East and North Africa.

Authors:  Ghina Mumtaz; Nahla Hilmi; Francisca Ayodeji Akala; Iris Semini; Gabriele Riedner; David Wilson; Laith J Abu-Raddad
Journal:  Sex Transm Infect       Date:  2010-10-29       Impact factor: 3.519

2.  Genetic analysis reveals the complex structure of HIV-1 transmission within defined risk groups.

Authors:  Stéphane Hué; Deenan Pillay; Jonathan P Clewley; Oliver G Pybus
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-14       Impact factor: 11.205

3.  HIV-1 drug resistance transmission networks in southwest Switzerland.

Authors:  Erika Castro; Mona Khonkarly; Donatella Ciuffreda; Philippe Bürgisser; Matthias Cavassini; Sabine Yerly; Giuseppe Pantaleo; Pierre-Alexandre Bart
Journal:  AIDS Res Hum Retroviruses       Date:  2010-09-23       Impact factor: 2.205

4.  Consistent viral evolutionary changes associated with the progression of human immunodeficiency virus type 1 infection.

Authors:  R Shankarappa; J B Margolick; S J Gange; A G Rodrigo; D Upchurch; H Farzadegan; P Gupta; C R Rinaldo; G H Learn; X He; X L Huang; J I Mullins
Journal:  J Virol       Date:  1999-12       Impact factor: 5.103

5.  HIV prevalence, unrecognized infection, and HIV testing among men who have sex with men--five U.S. cities, June 2004-April 2005.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2005-06-24       Impact factor: 17.586

6.  HIV prevalence and route of transmission in Turkish immigrants living in North-Rhine Westphalia, Germany.

Authors:  Eugen Schülter; Mark Oette; Melanie Balduin; Stefan Reuter; Jürgen Rockstroh; Gerd Fätkenheuer; Stefan Esser; Thomas Lengauer; Ali Agacfidan; Herbert Pfister; Rolf Kaiser; Baki Akgül
Journal:  Med Microbiol Immunol       Date:  2011-04-02       Impact factor: 3.402

7.  Dynamics and control of diseases in networks with community structure.

Authors:  Marcel Salathé; James H Jones
Journal:  PLoS Comput Biol       Date:  2010-04-08       Impact factor: 4.475

8.  The epidemiology of tuberculosis in San Francisco. A population-based study using conventional and molecular methods.

Authors:  P M Small; P C Hopewell; S P Singh; A Paz; J Parsonnet; D C Ruston; G F Schecter; C L Daley; G K Schoolnik
Journal:  N Engl J Med       Date:  1994-06-16       Impact factor: 91.245

9.  Human immunodeficiency virus reverse transcriptase and protease sequence database.

Authors:  Soo-Yon Rhee; Matthew J Gonzales; Rami Kantor; Bradley J Betts; Jaideep Ravela; Robert W Shafer
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

Review 10.  Unifying the epidemiological and evolutionary dynamics of pathogens.

Authors:  Bryan T Grenfell; Oliver G Pybus; Julia R Gog; James L N Wood; Janet M Daly; Jenny A Mumford; Edward C Holmes
Journal:  Science       Date:  2004-01-16       Impact factor: 47.728

View more
  4 in total

Review 1.  Vaccination against infectious diseases: what is promising?

Authors:  Hans Wilhelm Doerr; Annemarie Berger
Journal:  Med Microbiol Immunol       Date:  2014-07-27       Impact factor: 3.402

2.  Improved virological and immunological efficacy of resistance-guided switch in antiretroviral therapy: a Frankfurt HIV cohort analysis.

Authors:  T Wolf; B Fuß; P Khaykin; A Berger; G Knecht; P Gute; H R Brodt; S Goepel; M Bickel; M Stuermer; C Stephan
Journal:  Med Microbiol Immunol       Date:  2014-08-23       Impact factor: 3.402

Review 3.  Phylogenetic inferences on HIV-1 transmission: implications for the design of prevention and treatment interventions.

Authors:  Bluma Brenner; Mark A Wainberg; Michel Roger
Journal:  AIDS       Date:  2013-04-24       Impact factor: 4.177

Review 4.  Defining HIV-1 transmission clusters based on sequence data.

Authors:  Amin S Hassan; Oliver G Pybus; Eduard J Sanders; Jan Albert; Joakim Esbjörnsson
Journal:  AIDS       Date:  2017-06-01       Impact factor: 4.177

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.