Title |
The molecular epidemiology of HIV-1 in the Comunidad Valenciana (Spain): analysis of transmission clusters
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Published in |
Scientific Reports, September 2017
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DOI | 10.1038/s41598-017-10286-1 |
Pubmed ID | |
Authors |
Juan Ángel Patiño-Galindo, Manoli Torres-Puente, María Alma Bracho, Ignacio Alastrué, Amparo Juan, David Navarro, María José Galindo, Dolores Ocete, Enrique Ortega, Concepción Gimeno, Josefina Belda, Victoria Domínguez, Rosario Moreno, Fernando González-Candelas |
Abstract |
HIV infections are still a very serious concern for public heath worldwide. We have applied molecular evolution methods to study the HIV-1 epidemics in the Comunidad Valenciana (CV, Spain) from a public health surveillance perspective. For this, we analysed 1804 HIV-1 sequences comprising protease and reverse transcriptase (PR/RT) coding regions, sampled between 2004 and 2014. These sequences were subtyped and subjected to phylogenetic analyses in order to detect transmission clusters. In addition, univariate and multinomial comparisons were performed to detect epidemiological differences between HIV-1 subtypes, and risk groups. The HIV epidemic in the CV is dominated by subtype B infections among local men who have sex with men (MSM). 270 transmission clusters were identified (>57% of the dataset), 12 of which included ≥10 patients; 11 of subtype B (9 affecting MSMs) and one (n = 21) of CRF14, affecting predominately intravenous drug users (IDUs). Dated phylogenies revealed these large clusters to have originated from the mid-80s to the early 00 s. Subtype B is more likely to form transmission clusters than non-B variants and MSMs to cluster than other risk groups. Multinomial analyses revealed an association between non-B variants, which are not established in the local population yet, and different foreign groups. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 4 | 50% |
Venezuela, Bolivarian Republic of | 2 | 25% |
Unknown | 2 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Scientists | 3 | 38% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 63 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 26 | 41% |
Researcher | 7 | 11% |
Student > Master | 6 | 10% |
Student > Doctoral Student | 3 | 5% |
Librarian | 3 | 5% |
Other | 10 | 16% |
Unknown | 8 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 26 | 41% |
Medicine and Dentistry | 7 | 11% |
Biochemistry, Genetics and Molecular Biology | 4 | 6% |
Agricultural and Biological Sciences | 4 | 6% |
Nursing and Health Professions | 2 | 3% |
Other | 8 | 13% |
Unknown | 12 | 19% |