Friday, July 10, 2009

What's new for 'Trypanosomatids' in PubMed

This message contains My NCBI what's new results from the National Center for Biotechnology Information (NCBI) at the U.S. National Library of Medicine (NLM).
Do not reply directly to this message.

Sender's message:

Sent on Friday, 2009 Jul 10
Search kinetoplastids OR kinetoplastid OR Kinetoplastida OR "trypanosoma brucei" OR leishmania OR brucei OR leishmaniasis OR "African trypanosomiasis"
Click here to view complete results in PubMed. (Results may change over time.)
To unsubscribe from these e-mail updates click here.



PubMed Results
Items 1 -2 of 2

1: J Clin Microbiol. 2009 Jul 8. [Epub ahead of print]Click here to read

Development of a multilocus microsatellite typing approach for discriminating strains of the Leishmania subgenus (L.) Viannia.

Oddone R, Schweynoch C, Schönian G, Dos Santos de Sousa C, Cupolillo E, Espinosa D, Arevalo J, Noyes H, Mauricio I, Kuhls K.

Institut für Mikrobiologie und Hygiene, Universitätsmedizin Berlin, Dorotheenstr. 96, 10117 Berlin, Germany; Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Asunción, Rio de la Plata y Lagerenza, Asuncion, Paraguay; Laboratório de Pesquisa em Leishmaniose, Instituto Oswaldo Cruz - Fiocruz, Av. Brasil 4365-Pav Leonidas Deane, 21040-900 Rio de Janeiro, Brazil; Instituto de Medicina Tropical Alexander von Humboldt, Av. Honorio Delgado 430, San Martin de Porres, Lima 100, Perú; Biosciences Department, University of Liverpool, Crown St, Liverpool L697ZB, UK; London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E7HT, UK.

A multilocus microsatellite typing (MLMT) approach based on the analysis of 15 independent loci has been developed for the discrimination of strains belonging to different Viannia species. Thirteen microsatellite loci were isolated de novo from microsatellite-enriched libraries for both L. braziliensis and L. guyanensis. Two previously identified markers, AC01 and AC16, were modified and added to our marker set. Markers were designed to contain simple dinucleotide repeats flanked by the minimal possible number of nucleotides in order to allow variation in repeat numbers to be scored as size variation of the PCR products. The 15 markers, in total, were amplified for all strains of Viannia tested, except for one marker which did not amplify from the 2 L. peruviana included. When tested for polymorphisms in 30 strains of L. braziliensis, 21 strains of L. guyanensis and two strains of L. peruviana, all strains, except 2 strains of L. guyanensis, had individual MLMTypes. Distance-based analysis identified three main clusters. All but one strain of L. guyanensis grouped together. Two clusters consisted of strains of L. braziliensis according to their geographical origin. The 2 strains of L. peruviana grouped together with strains of L. braziliensis from Peru and the adjacent Brazilian state, Acre. The MLMT has proven capable of individualizing strains even from the same endemic areas and of detecting genetic structures at different levels, and is thus applicable for epidemiological and population genetic studies of strains within the subgenus Viannia.

PMID: 19587302 [PubMed - as supplied by publisher]

2: Parasite. 2009 Jun;16(2):99-106.

Mapping sleeping sickness in Western Africa in a context of demographic transition and climate change.

Cecchi G, Courtin F, Paone M, Diarra A, Franco JR, Mattioli RC, Simarro PP.

Food and Agriculture Organization of the United Nations (FAO), Animal Production and Health Division, Viale delle Terme di Caracalla, 1, 00153, Rome, Italy.

Human population growth, climate change and economic development are causing major environmental modifications in Western Africa, which will have important repercussions on the epidemiology of sleeping sickness. A new initiative, the Atlas of human African trypanosomiasis (HAT), aims at assembling and geo-referencing all epidemiological data derived from both active screening activities and passive surveillance. A geographic database enables to generate up-to-date disease maps at a range of scales and of unprecedented spatial accuracy. We present preliminary results for seven West African countries (Benin, Burkina Faso, Côte d'Ivoire, Ghana, Guinea, Mali and Togo) and briefly discuss the relevance of the Atlas for future monitoring, control and research activities.

PMID: 19585887 [PubMed - in process]

Posted by at

No comments:

Post a Comment

Subscribe to: Post Comments (Atom)