Literature DB >> 6768048

Antigenic variation in trypanosomes: a computer analysis of variant order.

R J Kosinski.   

Abstract

African trypanosomes can undergo antigenic variation and evade the host immune response. Whether the antigenic variants arise in an ordered sequence or randomly has been in dispute but has not been statistically tested. The coefficient of concordance (W), a statistic designed to detect similarities between sequences of objects, was applied to the literature data. The tendency towards a reproducible order of variants was strong, although in several of the studies the number of experimental animals was so low that no conclusions could be drawn. A computer model was used to determine whether this degree of order could arise with random generation of variants followed by selection. The model simulated a trypanosome clone with 90 possible variants, widely differing variant-specific growth rates, random variant origin and variant eradication by an anamnestic host immune response. Parameters varied were maximum parasitaemia, growth rate differential between 'fast' and 'slow' variants, and parasitologist ability to detect minor variants. Random generation and selection by growth rate alone could not produce the degree of variant orderliness reported in the literature. However, experiments with larger numbers of host animals and direct investigation of variant growth rates and competitive interactions are necessary before the random generation-selection hypothesis can be proven or disproven.

Mesh:

Substances:

Year:  1980        PMID: 6768048     DOI: 10.1017/s0031182000000809

Source DB:  PubMed          Journal:  Parasitology        ISSN: 0031-1820            Impact factor:   3.234


  10 in total

1.  A model for the sequential dominance of antigenic variants in African trypanosome infections.

Authors:  S A Frank
Journal:  Proc Biol Sci       Date:  1999-07-07       Impact factor: 5.349

2.  The relationship of variable antigen expression and population growth rates in Trypanosoma brucei.

Authors:  N Aslam; C M Turner
Journal:  Parasitol Res       Date:  1992       Impact factor: 2.289

3.  Parasite-intrinsic factors can explain ordered progression of trypanosome antigenic variation.

Authors:  Katrina A Lythgoe; Liam J Morrison; Andrew F Read; J David Barry
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-26       Impact factor: 11.205

4.  Antigenic variation in clones of Trypanosoma brucei grown in immune-deficient mice.

Authors:  P J Myler; A L Allen; N Agabian; K Stuart
Journal:  Infect Immun       Date:  1985-03       Impact factor: 3.441

5.  How selection forces dictate the variant surface antigens used by malaria parasites.

Authors:  Maite Severins; Don Klinkenberg; Hans Heesterbeek
Journal:  J R Soc Interface       Date:  2011-07-06       Impact factor: 4.118

6.  How do antigenically varying pathogens avoid cross-reactive responses to invariant antigens?

Authors:  Philip L F Johnson; Beth F Kochin; Rafi Ahmed; Rustom Antia
Journal:  Proc Biol Sci       Date:  2012-03-21       Impact factor: 5.349

7.  Antigenic variation and the within-host dynamics of parasites.

Authors:  R Antia; M A Nowak; R M Anderson
Journal:  Proc Natl Acad Sci U S A       Date:  1996-02-06       Impact factor: 11.205

8.  Characteristics of trypanosome variant antigen genes active in the tsetse fly.

Authors:  A W Cornelissen; G A Bakkeren; J D Barry; P A Michels; P Borst
Journal:  Nucleic Acids Res       Date:  1985-07-11       Impact factor: 16.971

9.  Ordered appearance of antigenic variants of African trypanosomes explained in a mathematical model based on a stochastic switch process and immune-selection against putative switch intermediates.

Authors:  Z Agur; D Abiri; L H Van der Ploeg
Journal:  Proc Natl Acad Sci U S A       Date:  1989-12       Impact factor: 11.205

10.  A statistically rigorous method for determining antigenic switching networks.

Authors:  Robert Noble; Mario Recker
Journal:  PLoS One       Date:  2012-06-22       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.