Fecal antibodies to Cryptosporidium parvum in healthy volunteers

Citation
Sm. Dann et al., Fecal antibodies to Cryptosporidium parvum in healthy volunteers, INFEC IMMUN, 68(9), 2000, pp. 5068-5074
Citations number
26
Categorie Soggetti
Immunology
Journal title
INFECTION AND IMMUNITY
ISSN journal
00199567 → ACNP
Volume
68
Issue
9
Year of publication
2000
Pages
5068 - 5074
Database
ISI
SICI code
0019-9567(200009)68:9<5068:FATCPI>2.0.ZU;2-V
Abstract
This study examined the intestinal antibody response in 26 healthy voluntee rs challenged with Cryptosporidium parvum oocysts. Fecal extracts were assa yed for total secretory immunoglobulin A (IgA) and C. parvum-specific IgA r eactivity. Specific IgA reactivity was standardized to IgA concentration an d expressed as a reactivity index (RI). Anti-C. parvum fecal IgA (flgA) inc reased significantly in 17 of 26 (65.4%) following oocyst ingestion. Of tho se with detectable responses, 59, 76.5, and 94.1% were positive by days 7, 14, and 30, respectively. Volunteers receiving high challenge doses (>1,000 and 300 to 500 oocysts) had higher RIs (RI = 5.57 [P = 0.027] and RI = 1.6 8 [P = 0.039], respectively) than those ingesting low doses (30 to 100 oocy sts; RI = 0.146). Subjects shedding oocysts and experiencing a diarrheal il lness had the highest fIgA reactivity. When evaluated separately, oocyst ex cretion was associated with an increased fIgA response compared to nonshedd ers (RI = 1.679 versus 0.024, respectively; P = 0.003). However, in subject s experiencing diarrhea with or without oocyst shedding, a trend toward a h igher RT (P = 0.065) was seen. Extracts positive for fecal IgA. were furthe r examined for IgA subclass. The majority of stools contained both IgA1 and IgA2, and the relative proportions did not change following challenge, Als o, no C. parvum-specific IgM or IgG was detected in fecal extracts. Thus, f ecal IgA to C. parvum antigens was highly associated with infection in subj ects who had no evidence of previous exposure and may provide a useful tool in detecting recent infections.