IgG avidity assays have been developed for several parasitic diseases although there are no researches focused in strongyloidiasis diagnosis. Definitive diagnosis of strongyloidiasis is based on the presence of Strongyloides larvae in stool, but majority of cases involve low and irregular larval output. While limitations of serological assays for strongyloidiasis are well known, characteristics of persons who are misdiagnosed based on negative coproparasitological tests have been little explored. The aim of the present study was to evaluate the use of IgG avidity to detect patients with active strongyloidiasis and to characterize sources of disagreement between serology and coproparasitology. A total of 80 serum samples was analyzed, 40 from patients with Strongyloides larvae in stool (G1) and 40 from individuals with negative coproparasitology, but positive serology (G2). Serum samples were analyzed in an indirect IgG avidity ELISA using urea 6M in serial double dilutions from 1:80 to 1:2560. Avidity index (AI) was calculated to each serum dilution and analyzed as screening AI (serum dilution of 1:160) or mean AI of different serum dilutions that had a positive result. Statistical analyzes were performed by Mann-Whitney's (U) and Fisher's exact tests. At screening dilution, median of AI was 68% in G1 and 88% in G2 (P<0.0001), whereas median of mean AI in G1 was 72% and in G2 94% (P<0.0001), but there was no significant differences between both AI in each patient group. A cut off value established at AI of 75% demonstrated a significant difference between groups, with G1 sera showing AI<75% and G2 sera with AI>75% (P<0.0001). In conclusion, IgG avidity assays may distinguish active infection with Strongyloides stercoralis from suspect or serologically false positive cases.
BackgroundStrongyloidiasis, a human intestinal infection caused by the nematode Strongyloides stercoralis, is frequently underdiagnosed and although its high prevalence is still a neglected parasitic disease because conventional diagnostic tests based on parasitological examination (presence of Strongyloides larvae in stool) are not sufficiently sensitive due to the low parasitic load and to the irregular larval output. There is an urgent need to improve diagnostic assays, especially for immunocompromised patients with high parasitic load as consequence of self-infection cycle, which can disseminate throughout the body, resulting in a potentially fatal hyperinfection syndrome often accompanied by sepsis or meningitis.Methods/Principal FindingsWe have performed Phage Display technology to select peptides that mimic S. stercoralis antigens, capable of detecting a humoral response in patients with strongyloidiasis. The peptides reactivity was investigated by Phage-ELISA through different panels of serum samples. We have successfully selected five peptides with significant immunoreactivity to circulating IgG from patients' sera with strongyloidiasis. The phage displayed peptides C9 and C10 presented the highest diagnostic potential (AUC>0.87) with excellent sensitivity (>85%) and good specificity (>77.5%), suggesting that some S. stercoralis antigens trigger systemic immune response.Conclusions/SignificanceThese novel antigens are interesting serum biomarkers for routine strongyloidiasis screenings due to the easy production and simple assay using Phage-ELISA. Such markers may also present a promising application for therapeutic monitoring.
Strongyloidiasis is one of the major intestinal infections in humans, and a neglected tropical disease whose diagnosis still poses a challenge. We hypothesized that diagnostic tests based on short peptides containing major epitopes may represent a promising strategy to improve strongyloidiasis detection due to reduced cross-reactivity and higher sensitivity. Our aim was to evaluate two synthetic peptides selected by phage display (C10 and D3) as potential tools for serodiagnosis of strongyloidiasis, and to predict their putative antigen target. To investigate their diagnostic potential, we have tested different panels of serum samples (n=120) by enzyme linked immunosorbent assay (ELISA) to detect specific IgG, and their diagnostic parameters were calculated. Similarities with proteins from Strongyloides stercoralis were searched and conformational epitopes were predicted and aligned to known protein structures. Both C10 and D3 achieved sensitivity of 95%, and specificities were 89.2% and 92.5%, respectively. D3 presented the highest diagnostic efficiency (93.3%). Epitope prediction for both C10 and D3 led to the alignment with the cytochrome c oxidase subunit 1 structure. In brief, we propose two synthetic peptides as new biomarkers for serodiagnosis of strongyloidiasis, which can be promptly used for ELISA and in future field sensor platforms.
Strongyloides stercoralis causes chronic asymptomatic infections in immunocompetent human hosts and systemic invasion in immunocompromised patients, developing into a fatal hyperinfection syndrome. IgA and IgG detection in saliva and serum paired samples were tested using total saline extract from Strongyloides venezuelensis (SE(*)) and its detergent phase (D) extracted with Triton X-114. Saliva and serum paired samples were obtained from: 25 patients with confirmed strongyloidiasis; 25 patients with other parasitoses and 20 from apparently healthy individuals. Sensitivity, specificity, diagnostic efficiency, positive and negative predictive values and likelihood ratio were calculated at the optimum point of reaction. Using D phase sensitivity and specificity to detect IgA in saliva were 76.0% and 88.9% and in serum 80.0% and 86.7%, respectively. To detect IgG, D phase showed sensitivity and specificity of 88.0% and 88.9% in saliva and 88.0% and 84.4% in serum, respectively. D phase proved to be specific and efficient and could be utilized as an alternative antigen for IgA and IgG detection in saliva and serum samples for strongyloidiasis diagnosis.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.