To gain deeper insight into
the epidemiology of HIV-1 transmission in South-East Austria we performed a
retrospective analysis of 259 HIV-1 partial pol sequences obtained from unique individuals newly
diagnosed with HIV infection in South-East Austria from 2008 through 2014.
After quality filtering, putative transmission linkages were inferred when two
sequences were ≤1.5% genetically different. Multiple linkages were resolved
into putative transmission clusters. Further phylogenetic analyses were
performed using BEAST v1.8.1. Finally, we investigated putative links between
the 259 sequences from South-East Austria and all publicly available HIV
polymerase sequences in the Los Alamos National Laboratory HIV sequence
database.
We found that 45.6% (118/259) of the sampled sequences were genetically
linked with at least one other sequence from South-East Austria forming
putative transmission clusters. Clustering individuals were more likely to be
men who have sex with men (MSM; p<0.001), infected with subtype B
(p<0.001) or subtype F (p = 0.02). Among clustered males who reported only
heterosexual (HSX) sex as an HIV risk, 47% clustered closely with MSM (either
as pairs or within larger MSM clusters). One hundred and seven of the 259
sequences (41.3%) from South-East Austria had at least one putative inferred
linkage with sequences from a total of 69 other countries.
In conclusion,
analysis of HIV-1 sequences from newly diagnosed individuals residing in
South-East Austria revealed a high degree of national and international
clustering mainly within MSM. Interestingly, we found that a high number of
heterosexual males clustered within MSM networks, suggesting either linkage
between risk groups or misrepresentation of sexual risk behaviors by subjects.
Below: Intersection between the Global HIV Type 1 Endemic and South East Austria. A total of 107 (41.3%) of 259 sequences obtained in South-East Austria
shared a putative link with sequences from foreign countries/regions. In this
heat map with a gradient from 1 to 40 linkages, countries are colored by the
number of putative links from yellow to red (i.e. red is 40 or more linkages).
Unlinked countries are colored in white.
Full article at: http://goo.gl/FfuY0M
By:
Martin Hoenigl, Antoine
Chaillon, Susan J. Little, Sanjay R. Mehta
Division of Infectious Diseases, University of California San Diego, San Diego, California, United States of America
Division of Infectious Diseases, University of California San Diego, San Diego, California, United States of America
Martin Hoenigl
Section of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Medical University of Graz, Graz, Austria
Section of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Medical University of Graz, Graz, Austria
Martin Hoenigl
Division of Pulmonology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
Division of Pulmonology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
Harald H. Kessler, Evelyn
Stelzl, Karin Weninger
Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
Bernhard Haas
Department of Infectious Diseases, Landeskrankenhaus Graz West, Graz, Austria
Department of Infectious Diseases, Landeskrankenhaus Graz West, Graz, Austria
Sanjay R. Mehta
Veterans Affairs Healthcare System, San Diego, California, United States of America
Veterans Affairs Healthcare System, San Diego, California, United States of America
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