Literature DB >> 9797510

Cross reacting antibodies against keyhole limpet haemocyanin may interfere with the diagnostics of acute schistosomiasis.

C Thors1, E Linder.   

Abstract

The number of individuals catching schistosomiasis has increased with the popularity of 'primitive tourism' in Africa. Highly immunogenic material originating from the intestine of intravascular adult schistosomes gives rise to an antibody response making possible early identification of infected individuals using serology. Antibodies against gut associated antigens (anti-GAA), detected by indirect immunofluorescence microscopy employing sections of adult worms as antigen may occur before the onset of egg production. In the present study we show that this well known schistosomiasis-specific anti-GAA staining reaction can be confused with a similar staining reaction with ducts of both male and female worms. Antibodies with duct reactivity were seen in sera both from schistosomiasis-patients and patients with some other invasive worm infections. Cross reactive anti-duct antibodies appear to have different specificity. One cross reactive antibody reacted with antigenic epitopes present in keyhole limpet haemocyanin (KLH). Anti-duct reactivity could be inhibited by absorption with KLH. This was most obvious in the trichinellosis patient sera.

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Year:  1998        PMID: 9797510     DOI: 10.1046/j.1365-3024.1998.00185.x

Source DB:  PubMed          Journal:  Parasite Immunol        ISSN: 0141-9838            Impact factor:   2.280


  2 in total

Review 1.  A novel assay to measure B cell responses to keyhole limpet haemocyanin vaccination in healthy volunteers and subjects with systemic lupus erythematosus.

Authors:  John Ferbas; Shelley S Belouski; Michelle Horner; Arunan Kaliyaperumal; Li Chen; Malcolm Boyce; C Bernie Colaço; Neil McHugh; Vanessa Quick; Richard J Nicholl; Gerald Siu; James Chung
Journal:  Br J Clin Pharmacol       Date:  2013-08       Impact factor: 4.335

2.  On-chip imaging of Schistosoma haematobium eggs in urine for diagnosis by computer vision.

Authors:  Ewert Linder; Anne Grote; Sami Varjo; Nina Linder; Marianne Lebbad; Mikael Lundin; Vinod Diwan; Jari Hannuksela; Johan Lundin
Journal:  PLoS Negl Trop Dis       Date:  2013-12-05
  2 in total

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