Percorrer por autor "Botelho, A."
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- Coxiella burnetii DNA detected in domestic ruminants and wildlife from PortugalPublication . Cumbassá, A.; Barahona, M.J.; Cunha, M.V.; Azorín, B.; Fonseca, C.; Rosalino, L.M.; Tilburg, J.; Hagen, F.; Santos, A.S.; Botelho, A.Coxiella burnetii is the etiological agent of Q fever or Coxiellosis, a zoonosis mainly affecting domestic ruminants. Information on the population structure and epidemiology of C. burnetii in animals is scarce in Portugal. Evidence of C. burnetti infection was sought in domestic, wild and captive animals based on the detection of bacterial DNA. Tissue samples from 152 domestic animals (cattle = 24, goats = 51, sheep = 76 and swine = 1), 55 wild carnivores (Egyptian mongoose = 45, red fox = 4, common genet = 3, weasel = 2 and European badger = 1) and 22 zoo animals (antelopes = 15, impala = 1; rhinoceros = 1, deer = 2, zebras = 2 and giraffe = 1) were screened by nested-touchdown PCR. Cloacae swabs from 19 griffon vultures were also analysed. Among the domestic ruminants, goats presented the highest prevalence of infection (23.53%), followed by cattle, (20.83%) and sheep (10.53%). C. burnetii DNA was also detected in five Egyptian mongooses and two antelopes and one giraffe. Using a 6-locus multiple-locus variable-number tandem repeat analysis (MLVA-6) six complete genotypes, T, I and CM and the first reported CN, CO and CP, were identified, respectively, in small ruminants and Egyptian mongooses. Clustering analysis of genotypes exposed four distinct groups, according to detection source, enlightening an apparent association between C. burnetii genotype and host.
- Genotypic diversity of clinical Coxiella burnetii isolates from Portugal based on MST and MLVA-typingPublication . Santos, A.S.; Tilburg, J.J.H.C.; Botelho, A.; Barahona, M.J.; Núncio, M.S.; Nabuurs-Franssen, M.H.; Klaassen, C.H.W.Genotypic diversity of clinical Coxiella burnetii isolates from Portugal based on MST and MLVA typing. Santos AS, Tilburg JJ, Botelho A, Barahona MJ, Núncio MS, Nabuurs-Franssen MH, Klaassen CH. SourceCentre for Vectors and Infectious Diseases Research Doutor Francisco Cambournac, National Institute of Health Dr. Ricardo Jorge (CEVDI/INSA), Águas de Moura, Portugal. Electronic address: ana.santos@insa.min-saude.pt. Abstract The temporal and spatial diversity of Coxiella burnetii genotypes associated with human and animal disease in Portugal was analysed using a 6-locus multiple-locus variable-number tandem repeat analysis (MLVA) and a 10-locus multi-spacer sequence typing (MST) panel. Fifteen cultured C. burnetii isolates from 13 Q fever patients and a stillborn goat and 6 additional PCR-positive ruminant tissue samples obtained during 2006-2011 were included in this study. Seven MLVA genotypes (types S-Y) were obtained, including 4 new MLVA types (U, V, W, and X), all corresponding to 3 MST profiles (types 4, 8, and 13) previously reported from France and Spain. MLVA types U-Y, all belonging to MST type 4, were found in acute Q fever patients from the districts of Évora, Faro, Lisbon, and Setúbal. Different MLVA types were associated with goats from Castelo Branco district (S) and chronic Q fever patients from both Castelo Branco and Lisboa districts (S and T), matching with MST types 13 and 8, respectively. In conclusion, a genotypic diversity of C. burnetii consistent with a non-outbreak situation was identified. The involvement of different genotypes in acute and chronic Q fever was found, linking one of the chronic genotypes to goats from the eastern region of the country.
- The Influence of Indoor Environments in Respiratory Health and Quality of Life of Susceptible Populations - The GERIA ProjectPublication . Mendes, A.; Papoila, L.; Carreiro-Martins, P.; Bonassi, S.; Caires, I.,; Palmeiro, T.; Aguiar, L.; Pereira, C.; Neves, P.; Mendes, D.; Botelho, A.; Neuparth, N.; Teixeira, J.P.Presentation about GERIA Project “Geriatric Study in Portugal on Health Effects of Air Quality in Elderly Care Centers. The aim of GERIA project is to carry out a risk assessment involving: identification of multiple factors potentially affecting health and quality of life; quantification of human exposure to pollutants, and evaluation of the individual’s response to these stimuli.