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Infection and Immunity, July 2000, p. 3830-3839, Vol. 68, No. 7
0019-9567/00/$04.00+0
Copyright © 2000, American Society for Microbiology. All rights reserved.
Correlations between Antibody Immune Responses at Different
Mucosal Effector Sites Are Controlled by Antigen Type and
Dosage
Dörthe
Externest,
Barbara
Meckelein,
M. Alexander
Schmidt, and
Andreas
Frey*
Institut für Infektiologie, Zentrum
für Molekularbiologie der Entzündung,
Westfälische Wilhelms-Universität Münster, D-48129
Münster, Germany
Received 2 September 1999/Returned for modification 21 October
1999/Accepted 4 April 2000
 |
ABSTRACT |
Monitoring specific secretory immunoglobulin A (IgA) responses in
the intestines after mucosal immunization or infection is impeded by
the fact that sampling of small intestinal secretions requires invasive
methods not feasible for routine diagnostics. Since IgA plasma cells
generated after intragastric immunization are known to populate remote
mucosal sites as well, secretory IgA responses at other mucosal
surfaces may correlate to those in the intestines and could serve as
proxy measures for IgA secretion in the gut. To evaluate the
practicability of this approach, mice were immunized intragastrically
with 0.2, 2, and 20 mg of ovalbumin plus 10 µg of cholera toxin, and
the antigen-specific local secretory IgA responses in duodenal, ileal,
jejunal, rectal, and vaginal secretions, saliva, urine, and feces, as
well as serum IgG and IgA responses were analyzed by enzyme-linked
immunosorbent assay. Correlation analysis revealed significant
relationships between serum IgG and IgA, urinary IgA, salivary IgA, and
secretory IgA in duodenal, jejunal, ileal, and rectal secretions for
the 0.2-mg but not for the 20-mg ovalbumin dose. Fecal samples were
poor predictors for intestinal antiovalbumin IgA responses, and no correlations could be established for cholera toxin, neither between local anti-cholera toxin levels nor to the antiovalbumin responses. Thus, specific IgA in serum, saliva, or urine can serve as a predictor of the release of specific IgA at intestinal surfaces after
intragastric immunization, but the lack of correlations for high
ovalbumin doses and for cholera toxin indicates a strong dependency on
antigen type and dosage for these relationships.
 |
INTRODUCTION |
Secretory immunoglobulin A (sIgA) is
considered a cornerstone of the immunological defense mechanisms that
protect mucosal surfaces. sIgA is secreted in gram amounts per day
across the mucosal surfaces in humans (14, 20) and has been
shown to confer protection against a number of bacterial and viral
pathogens, such as Vibrio cholerae (33),
Salmonella enterica serovar Typhimurium (21),
respiratory syncytial virus (32), rotavirus (28), and influenza virus (27).
The recognition of sIgA as a powerful means to protect against enteric
pathogens led to considerable interest in the development of mucosal
vaccines in recent years. However, the induction of sIgA responses is
an onerous task. In addition to being delivered via the mucosal route,
the antigen should be formulated so that it is taken up by M cells, a
specialized epithelial cell type located in the epithelium over the
organized mucosa-associated lymphoid tissue (11, 22).
Alternatively, ADP-ribosylating toxins like cholera toxin (CT) must be
coadministered as mucosal adjuvants (4).
Beyond that, any vaccination requires some measurement of efficacy,
such as the titer of specific IgA responses in local secretions. Unfortunately, analysis of antibody responses in the gut is complicated by the fact that sampling of intestinal secretions requires invasive methods which are not practicable for routine diagnostics. To overcome
this problem, specific sIgA in fecal samples has been used as a
substitute for directly sampled intestinal specimens (3, 12,
16), but the validity of this approach has been questioned
(7). Intestinal lavage techniques have been proposed as an
alternative technique (1, 5, 7, 24), but again sampling must
be carried out under the supervision of a physician and may be too
labor- and cost-intensive for routine diagnostic purposes.
Since IgA plasma cells generated after oral immunization are known to
populate remote mucosal sites as well (19, 31), it seems
conceivable that specific sIgA responses at other mucosal surfaces may
closely correlate to those in the intestine and thus could serve as
predictors for sIgA secretion in the gut after oral immunization.
Seeking alternative measures for sIgA status at small and large
intestinal surfaces, we carried out a comprehensive intragastric
immunization study in mice using the model antigen ovalbumin (OVA) plus
CT adjuvant and analyzed the specific IgA content in excretions, serum,
and mucosal secretions from various sites in search for
diagnostically important relationships between the IgA responses.
When highly sensitive detection systems were used, specific antibody
responses against both ovalbumin and CT were readily detectable in
humoral samples, secretions, and excretions, but strong correlations
could be established only between urinary, salivary, and serum IgA
levels and IgA from intestinal surfaces for the lowest dose of OVA.
 |
MATERIALS AND METHODS |
Animals.
Female BALB/c mice were obtained from Charles River
Wiga (Sulzfeld, Germany). The animals had been reared and were kept
on a chicken egg protein-free rodent chow (Altromin 1324; Altromin, Lage, Germany) throughout the study. They were 8 weeks of age at the
beginning of the immunization experiments.
Materials and reagents.
Animal feeding needles (20 gauge by 1.5 in. [ca. 4 cm]) were obtained from Popper & Sons
(New Hyde Park, N.Y.), UniWick filters (25-mm long, 2.5-mm diameter)
from Polyfiltronics (Rockland, Mass.) and glass applicators
(10-cm long, 4-mm outer diameter, 2.5-mm inner diameter, smoothed
and bevelled at one end) were custom-made by Glasgerätebau Ochs
(Bovenden-Lenglern, Germany). High-binding polystyrene
enzyme-radioimmunoassay microtiter plates were from Corning Costar
(Bodenheim, Germany).
Methoxyfluorane (Metofane) was from Pitmann-Moore (Mundelein, Ill.);
1,1,1-tribromoethanol (avertin) and tert-amyl alcohol were obtained
from Aldrich (Steinheim, Germany). Azide-free CT was purchased from
List Biological Laboratories (Campbell, Calif., via Quadratech, Epsom,
U.K.). OVA and leupeptin hydrogensulfate were from
Calbiochem-Novabiochem (Bad Soden, Germany). OVA (lot B11706) displayed
a single band after sodium dodecyl sulfate-polyacrylamide gel
electrophoresis (SDS-PAGE) and Coomassie brilliant blue R staining (5 µg/lane) and showed a single peak corresponding to a purity of
97%
after high-pressure liquid chromatography on a TSK gel G3000SW column
with 0.1 M Na2HPO4 (pH 7.0), 100 mM NaCl, and
0.1% (wt/vol) SDS as the mobile phase.
4-(2-Aminoethyl)benzenesulfonylfluoride hydrochloride (AEBSF
hydrochloride) was from Merck (Darmstadt, Germany). Aprotinin, bestatin
hydrochloride, pilocarpine hydrochloride, and the mouse anti-chicken
egg albumin IgG1 monoclonal antibody (clone OVA-14) were purchased from
Sigma (Deisenhofen, Germany). Peroxidase-labeled,
heavy-chain-specific goat anti-mouse IgA and IgG, unlabeled
heavy-chain-specific goat anti-mouse IgA and IgG, and purified mouse
IgA were obtained from Southern Biotechnology Associates (Birmingham,
Ala., via Biozol, Eching, Germany). Purified mouse IgG was from Serotec
(Oxford, U.K., via Biozol).
Antigen preparation and intragastric immunizations.
At the
beginning of the immunization study, the total amounts of OVA antigen
and CT adjuvant required for all immunizations were dissolved in
sterile 3% (wt/vol) sodium bicarbonate or reconstituted in sterile
water, snap-frozen in liquid N2, and stored in single-use aliquots at
70°C. Immediately before use, the respective antigen and adjuvant aliquots were warmed to 37°C and mixed by gentle rocking.
Five groups of six mice were immunized on days 0, 21, 35, and 49 via
the intragastric route with the following antigen mixtures: 0 mg of OVA
plus 0 µg of CT, 0 mg of OVA plus 10 µg of CT, 0.2 mg of OVA plus
10 µg of CT, 2 mg of OVA plus 10 µg of CT, and 20 mg of OVA plus 10 µg of CT, each in 300 µl of 3% (wt/vol) sodium bicarbonate.
Immunization was performed under light metofane anesthesia using
ball-tipped disposable animal feeding needles which were checked
carefully for the absence of blood after each gavage. The animals were
deprived of food for 1 h before and 2 h after intubation. The
health status of the animals was checked routinely by visual
inspection, and their growth and weight gain were monitored throughout
the study.
Sample collection and extraction.
Feces were sampled 2 days
before the first and 10 days after each immunization. The animals were
separated individually into wire mesh cages equipped with metal trays
underneath, and 20 to 30 freshly voided, urine-free fecal pellets were
sampled over 3 to 8 h. Urine (50 to 500 µl) was sampled 10 days
after the last immunization from the metal trays along with the fecal
samples. All samples were kept on ice throughout the entire sampling
procedure before they were snap-frozen in liquid N2 and
stored at
70°C.
Blood samples were drawn 1 day before the first and 11 days after each
immunization by retroorbital bleed under metofane or avertin
anesthesia. Sera were snap-frozen in liquid N2 and stored at
70°C.
Eleven days after the last immunization, local secretions were sampled
from each animal using the filter wick method of Haneberg et al.
(13). The animal was anesthetized by intraperitoneal injection of 250 µl of avertin solution, which was prepared by dissolving avertin 5:3 (wt/vol) in tert-amyl alcohol and diluting this
stock 1:80 in warmed (37°C) Dulbecco's phosphate-buffered saline
(D-PBS [pH 7.3]: 2.7 mM KCl, 1.5 mM KH2PO4,
136 mM NaCl, 8.1 mM Na2HPO4) immediately before
use. Fluid secretion at mucosal surfaces was induced by intraperitoneal
injection of 50 µl of 1-mg/ml pilocarpine in D-PBS. Saliva was
collected by placing two preweighed, 12-mm-long UniWick filters into
the cheek pouches for 5 to 10 min. Meanwhile, 10 µl of D-PBS
containing a protease inhibitor mixture (154 nM aprotinin, 10 µM
leupeptin hydrogensulfate, 200 µM AEBSF hydrochloride, 6 µM
bestatin hydrochloride) was instilled into the vagina using a
blunt-ended micropipettor tip before a preweighed, 6.25-mm-long filter
wick was applied with a glass applicator and allowed to soak for 5 to
10 min, during which time blood was sampled. The animal was killed by
cervical dislocation, the small intestine was dissected and placed on
an ice-cold glass plate, and the lumen was flushed with cold D-PBS
containing the protease inhibitor mixture described above. Preweighed,
25-mm-long filter wicks were inserted into the intestine using a glass
applicator and allowed to absorb the local secretions for 5 to 10 min.
Meanwhile, a preweighed, 25-mm-long filter wick was inserted into the
rectum by use of a glass applicator and allowed to absorb the
colorectal secretions for 5 to 10 min. All wicks were checked visually
for the absence of blood and/or urine, weighed, snap-frozen in liquid N2, and stored at
70°C.
Extraction of immunoglobulins from feces and filter wicks was performed
as previously described (13). Fecal pellets were lyophilized, weighed, and homogenized in 15 µl of cold extraction buffer (D-PBS containing 5% [wt/vol] nonfat dry milk and the
protease inhibitor mixture) per mg of dry feces at 0°C for 30 min.
After another 20-min incubation on an end-to-end mixer (1 to 2 rpm) at
4°C, the solids were separated by 10 min of centrifugation at
16,000 × g at 4°C, the extraction was repeated with
10 µl of fresh cold extraction buffer per mg of dry solids, and the
extracts were combined. For extraction of wicks, 10 µl of extraction
buffer per mg of secretion collected, but at least 300 µl for
salivary, vaginal, and rectal filters and 500 µl for small-intestinal
filters, was added, and the secretions were eluted from the wicks by
incubation for 30 min at 0°C with occasional mixing. For maximum
recovery of liquids, the buffer-soaked filter wicks were transferred to a fresh, perforated microcentrifuge tube, which was placed in another
centrifuge tube and spun dry by 1 to 2 min of centrifugation at
10,000 × g. The extracts were cleared by a final
centrifugation step at 1,000 × g for 30 s. The
fecal and filter extracts were snap-frozen in liquid N2 and
stored at
70°C.
Quantitation of anti-OVA and anti-CT immunoglobulins.
Microtiter plates were coated with 75 µl of either OVA (5 µg/ml) in
50 mM sodium acetate buffer (pH 5.0) or CT (5 µg/ml) in 10 mM sodium
phosphate buffer (pH 7.0)-10 mM NaCl per well overnight at 4°C.
Plates were washed three times with 350 µl of PBST (D-PBS containing
0.05% [vol/vol] Tween-20) per well, and nonspecific binding sites
were blocked with 250 µl of PBS-Blotto (D-PBS containing 5%
[wt/vol] nonfat dry milk) per well for 5 h at room temperature. Plates were washed four times with PBST before 75 µl of serially diluted sera, anti-OVA standard (mouse anti-chicken OVA IgG monoclonal antibody OVA-14; starting dilution, 5.2 ng/ml), or fecal or filter extracts in PBS-Blotto was applied per well, and the plates were incubated overnight at 4°C.
The plates were again washed four times with PBST, 75 µl of
horseradish peroxidase-labeled goat anti-mouse IgG or IgA, both diluted
1:2,000 in PBS-Blotto, was applied per well, and the plates were
incubated for 90 min at room temperature. Plates were washed again six
times with PBST, and color was developed at room temperature in the
dark by adding 75 µl of a highly sensitive two-component tetramethylbenzidine substrate reagent which contains 1 mM
3,3',5,5'-tetramethylbenzidine and 3 mM H2O2 in
200 mM potassium citrate buffer (pH 4.0) (9) per well. The
reaction was terminated after 30 min by addition of 125 µl of 1 M
sulfuric acid per well, and the plates were read at 450 nm on an
Emax precision microtiter plate reader (Molecular Devices,
Sunnyvale, Calif.).
Quantitation of total IgA.
Microtiter plates were coated
with 75 µl of 5-ng/ml unlabeled goat anti-mouse IgA in D-PBS per well
overnight at 4°C. The plates were washed, blocked, and washed again
as described above before 75 µl of serially diluted IgA standard
(purified mouse IgA; starting dilution, 16 µg/ml), sera, or fecal or
filter extracts in PBS-Blotto was applied per well, and the plates were
processed as described above using horseradish peroxidase-labeled goat
anti-mouse IgA as the secondary antibody.
Determination of cross-reactivities of class-specific anti-mouse
immunoglobulin detection reagents.
Microtiter plates were coated
with 75 µl of 7-µg/ml unlabeled goat anti-mouse IgA or goat-anti
mouse IgG in D-PBS per well overnight at 4°C. The plates were washed,
blocked, and washed again as described above before 75 µl of serially
diluted IgA or IgG standard (purified mouse IgA or IgG; starting
dilution, 6.4 µg/ml) in PBS-Blotto was applied per well, and the
plates were processed as described above. Both anti-mouse IgA- and
anti-mouse IgG-horseradish peroxidase conjugate were reacted with
captured IgG as well as captured IgA.
Data analysis and statistics.
Specific antibody responses
were expressed as endpoint titers, being the reciprocal of the highest
dilution that gave a reading above the cutoff. The cutoff was defined
as the upper limit of a 99.5% confidence interval above the mean
control level and was calculated by t statistics
(10), e.g., for five mock-immunized control animals and a
99.5% confidence interval, the cutoff is calculated as
meancontrols + 5.0 × SDcontrols
where SD is the standard deviation. Titers were transformed
logarithmically [log (titer+1)] for calculation of group means and
standard errors of the means (SEM) or used directly for correlation
analysis. Total IgA amounts were determined on the basis of
four-parameter curve fit approximations of IgA standard titration
curves using the readouts of the unknown samples at the steepest slopes
of their titration curves (SOFTmax Pro v1.0; Molecular Devices). For
endpoint titers standardized on total IgA contents (relative endpoint
titers), endpoint titers were divided by the total IgA concentration of
the respective undiluted sample.
Secondary antibody cross-reactivity was defined as the detection limit
obtained for the immunoglobulin recognized by cross-reactivity divided
by that obtained for the specifically recognized immunoglobulin.
Assessment of plasma leakage into mucosal samples was carried out using
IgG as a plasma marker, taking into account the respective secondary-antibody cross-reactivities (see Appendix for details). Based
on these considerations, equation 1 describes the relationship between
the relative amount of plasma-borne IgA in a fecal or filter
wick-collected mucosal sample (% IgAtrans) and the serum IgG and IgA titers (TiterIgGser,
TiterIgAser), the IgG and IgA titers of the respective
mucosal sample (TiterIgGmuc,
TiterIgAmuc), and the cross-reactivities of the
anti-mouse IgG antibody with mouse IgA (Xr
IgG) and
anti-mouse IgA with mouse IgG (Xr
IgA):
|
(1)
|
Equation 2 describes the relationship between the relative
amount of plasma which leaked into a filter wick-collected secretion (% Volumetrans) and the serum IgG and IgA titers
(TiterIgGser, TiterIgAser), the IgG
and IgA titers of the filter-sampled mucosal secretion
(TiterIgGmuc, TiterIgAmuc), and the
cross-reactivity of the anti-mouse IgG antibody with mouse IgA
(Xr
IgG):
|
(2)
|
Multiple (between-group) comparisons were performed by one-way
analysis of variance (ANOVA) using Fisher's protected
least-significant difference test at a 5% level of significance.
Fisher's r-to-z transformation of correlation
coefficients was used to obtain the P values in correlation
analysis. Results of statistical analyses were considered significant
only if P was <0.05. All calculations and statistical
analyses were carried out using the Statview 4.5 program package
(Abacus Concepts, Berkeley, Calif.).
 |
RESULTS |
Development of highly sensitive immunoassays for quantitation of
anti-OVA and anti-CT immunoglobulins.
In order to detect even
minute amounts of immunoglobulins in diluted samples such as urine and
saliva, we established highly sensitive enzyme-linked immunosorbent
assay (ELISA) systems for antibodies against OVA and CT. For coating
the microtiter plates, best results were obtained with OVA at 5 µg/ml
in 50 mM sodium acetate (pH 5.0) and CT at 5 µg/ml in 10 mM sodium
phosphate (pH 7.0)-10 mM sodium chloride. Under these conditions,
assay sensitivity could be increased by a factor of 50 for detection of
anti-OVA and by a factor of 2 for detection of anti-CT immunoglobulins, compared to standard ELISA coating conditions (2 µg of antigen per ml
in sodium carbonate-bicarbonate [pH 9.6]) (6, 13). Assay
sensitivity was further improved by using horseradish
peroxidase-labeled secondary reagents in combination with a novel
tetramethylbenzidine-based colorimetric ELISA substrate system which we
developed for this purpose (9). Using both optimized coating
conditions and the novel substrate system, a detection limit for a
monoclonal anti-OVA IgG1 of 24 pg/ml was achieved, which corresponds to
a concentration of 160 fM or 12 attomol of specific immunoglobulin per well.
Lack of correlations between humoral and fecal immune responses
over repeated intragastric immunizations with OVA and CT.
To
assess whether fecal and serum immunoglobulin responses may correlate
after intragastric immunization, a typical immunization study with
priming and several booster immunizations was performed using the model
antigen OVA and CT adjuvant. Groups of six BALB/c mice were gavaged on
days 0, 21, 35, and 49 with 0.2, 2, or 20 mg of OVA plus 10 µg of CT
or with 10 µg of CT alone. This immunization procedure had no
apparent impact on the health status and the thriving of the animals,
as assayed by visual inspection and determination of body mass gain
(data not shown). Feces and blood samples were collected 10 to 11 days
after each immunization and tested for their content of specific IgA
and IgG against OVA and CT.
Anti-CT serum IgG and IgA as well as fecal IgA were already detectable
after the first immunization and reached a plateau after the second
immunization, with titers between 106 and 108
(Fig. 1). The general shape of the immune
response curves was identical in all groups for serum as well as for
feces, and the between-group differences were less than fourfold on
average (ratios of geometric group means of anti-CT Ig [all
samplings]: serum IgG, 2.2-fold; serum IgA, 3.1-fold; fecal IgA,
3.1-fold; range, 1.1- to 17-fold). The within-group variation was also
very low (arithmetic mean CV ± SD of log anti-CT Ig [all groups,
samplings, samples, and immunoglobulin types]: 4.2% ± 2.2%; range,
0 to 10.3%). Despite the like course of all titration curves, no
statistically significant correlation between anti-CT serum IgG and
anti-CT fecal IgA of individual animals could be established over the entire study. Only anti-CT serum IgA and anti-CT fecal IgA correlated for some groups at some time points in an inconsistent manner.

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FIG. 1.
Time course of the anti-CT IgA and IgG responses in
serum and feces after priming and three booster immunizations with
various doses of OVA plus CT adjuvant. Solid squares, 0.2 mg of OVA
plus 10 µg of CT; open squares, 20 mg of OVA plus 10 µg of CT; open
circles, 0 mg of OVA plus 10 µg of CT. Arrows indicate time points of
immunization. Values represent means ± SEM of samples from six
mice. Absolute A450 readings of samples from
mock-immunized animals used to calculate the endpoints and
buffer-for-sample readouts were 0.042 ± 0.003 and 0.041 ± 0.002 (mean ± SD of 38 microplates), respectively.
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The anti-OVA antibody immune responses showed antigen dose-dependent
differences in onset, strength, and time course (Fig. 2). The 2-mg and 20-mg OVA doses induced
serum and fecal IgG and IgA responses after a single immunization,
while the 0.2-mg OVA dose required a booster immunization before IgG or
IgA responses were detectable. From then on, differences in the
strength of the anti-OVA immune responses were surprisingly well
reflected by the differences in antigen dosage when comparing the
responses to the 0.2-mg and the 20-mg OVA dose. The 100-fold-higher
antigen dose resulted on average in 83-fold-higher group mean titers
(ratios of geometric group means of anti-OVA Ig of the 0.2-mg and the 20-mg OVA doses [all samplings]: serum IgG, 64-fold; serum IgA, 98-fold; fecal IgA, 90-fold; range, 32 to 573-fold) (Fig. 2). Animals
immunized with 2 mg of OVA showed an intermediate behavior depending on
sample, time point, and immunoglobulin analyzed. In general, the immune
responses of this group behaved similar to that of the 20-mg OVA group
at the beginning of the study and shifted towards that of the 0.2-mg
OVA group at the end of the experiment. The within-group variations
were also antigen dose-dependent, being consistently highest for the
low and lowest for the high OVA dose (arithmetic mean CV ± SD of
log anti-OVA Ig [all samplings, samples, and immunoglobulin types
after the first booster immunization]: 0.2 mg of OVA: 18.1% ± 13.2%; range, 8.8% to 51.4%; 2 mg of OVA: 6.5% ± 2.1%; range, 2.8 to 8.4%; 20 mg of OVA: 3.9% ± 1.3%; range, 2.0 to 5.5%). As for
the anti-CT responses, statistically significant correlations between
anti-OVA serum IgA and IgG and anti-OVA fecal IgA responses of
individual animals occurred for some groups at some time points in an
inconsistent manner. Likewise, no consistent correlations between
anti-CT and anti-OVA immunoglobulin responses in serum and feces could
be detected over the entire course of the immunization study.

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FIG. 2.
Time course of the anti-OVA IgA and IgG responses in
serum and feces after priming and three booster immunizations with
various doses of OVA plus 10 µg of CT adjuvant. Solid squares, 0.2 mg
of OVA; open squares, 2 mg of OVA; solid circles, 20 mg of OVA; open
circles, 0 mg of OVA. Arrows indicate time points of immunization.
Values represent means ± SEM of samples from six mice. Absolute
A450 readings of samples from mock-immunized
animals used to calculate the endpoints and buffer-for-sample readouts
were 0.045 ± 0.002 and 0.044 ± 0.002 (mean ± SD of 40 microplates), respectively.
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Distribution of the antibody immune responses at different mucosal
effector sites after intragastric immunization with OVA and CT.
To
perform a cross-comparison of the local IgA responses, samples of local
secretions in the gut together with saliva and vaginal washes were
collected after killing the animals 11 days after the last
immunization. Urine had been sampled along with feces no more than
24 h earlier. On the basis of these samples, distribution profiles
for the local IgA responses against OVA and CT were established.
First, we juxtaposed the absolute endpoint titers of the specific IgA
(Fig. 3). For the local anti-OVA IgA
responses, a clear site and dose dependency stood out. Compared
sitewise, the greatest differences were found for fecal versus salivary
or urinary responses, with ratios exceeding 10,000. Compared groupwise,
an almost linear relation between antigen dosage and the resulting
group mean IgA responses was observed for all sites except the small
intestine (ratios of geometric group means of anti-OVA IgA [serum,
urine, saliva, feces, and vaginal and rectal secretion samples]: 20-mg to 0.2-mg dose: 91-fold; range, 30- to 442-fold; 20-mg to 2-mg dose:
13-fold; range, 5.0- to 23-fold; 2-mg to 0.2-mg dose: 7.2-fold; range,
2.0- to 34-fold). Analogous to the time course study, the within-group
variation declined with increasing antigen dosage (arithmetic mean
CV ± SD of log anti-OVA Ig [all sites and immunoglobulin types
after the third booster immunization]: 0.2 mg of OVA: 32.6% ± 45.1%; range, 10.0 to 156%; 2 mg of OVA: 8.6% ± 2.3%; range, 6.3 to 13.5%; 20 mg of OVA: 5.0% ± 2.2%; range, 2.0 to 10.2%) (Fig.
3A).

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FIG. 3.
Specific IgA responses against OVA and CT in serum and
local secretions after priming and three booster immunizations with
various doses of OVA plus CT adjuvant. (A) Absolute anti-OVA endpoint
titers. (B) Absolute anti-CT endpoint titers. Values represent
means ± SEM of samples from six mice. Absolute
A450 readings of samples from mock-immunized
animals used to calculate the endpoints and buffer-for-sample readouts
were 0.044 ± 0.003 and 0.043 ± 0.003 (anti-OVA ELISAs,
mean ± SD of 30 microplates), respectively, and 0.042 ± 0.003 and 0.041 ± 0.002 (anti-CT ELISAs, mean ± SD of 30 microplates), respectively.
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For CT, similar differences between individual sites but less
pronounced between-group variations (ratios of geometric group means of
anti-CT Ig [all sites and immunoglobulin types after the third booster
immunization]: 2.7-fold; range, 1.1- to 17-fold) were observed, and
the within-group variations were low as well (arithmetic mean CV ± SD of log anti-CT Ig [all sites and immunoglobulin types after the
third booster immunization]: 4.5% ± 3.1%; range, 0 to 12.0%) (Fig.
3B).
Since several reports stressed the importance of normalizing the
specific IgA responses on the total IgA release of the respective site
(e.g., reference 8), we also determined the relative
anti-OVA and anti-CT IgA titers by standardizing the absolute titers on the total IgA content of the samples. The results are summarized in
Fig. 4.

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FIG. 4.
Specific IgA responses against OVA and CT in serum and
local secretions after priming and three booster immunizations with
various doses of OVA plus CT adjuvant, normalized to total IgA. (A)
Anti-OVA endpoint titers normalized to the total IgA content of the
respective samples. (B) Anti-CT endpoint titers normalized to the total
IgA content of the respective samples. Values represent means ± SEM of samples from six mice.
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With respect to the between- and within-group variations for given
sites, absolute and relative titers were not dramatically different
from each other, i.e., the antigen dose dependency of the serum, fecal,
rectal, vaginal, and urinary anti-OVA IgA responses persisted (ratios
of geometric group means of relative anti-OVA IgA [serum, urine,
saliva, feces, and vaginal and rectal secretion samples]: 20-mg to
0.2-mg dose: 68-fold; range, 38- to 168-fold; 20-mg to 2-mg dose:
12-fold; range, 5.6- to 30-fold; 2-mg to 0.2-mg dose: 5.8-fold; range,
1.3- to 30-fold), as did the dose-dependent decrease of the within
group variation for increasing antigen doses (arithmetic mean CV ± SD of log relative anti-OVA Ig [all sites and immunoglobulin types
after the third booster immunization]: 0.2 mg of OVA: 37.0% ± 44.9%; range, 14.1 to 155%; 2 mg of OVA: 10.1% ± 3.3%; range, 6.9 to 16.1%; 20 mg of OVA: 6.2% ± 3.9%; range, 3.4 to 15.8%).
However, the site-to-site differences in local IgA responses were
considerably reduced, especially for the 0.2-mg OVA dose, where all
samples except saliva showed no statistically significant differences
(no statistically significant differences between mean relative
anti-OVA IgA titers at different sites [one-way ANOVA, P
0.35]) (Fig. 4A).
For the anti-CT responses (Fig. 4B), a similar trend was observed, with
reduced between-site differences and low between-group (ratios of
geometric group means of anti-CT Ig [all sites and immunoglobulin
types after the third booster immunization]: 2.7-fold; range, 1.0- to
22-fold) and within-group (arithmetic mean CV ± SD of log anti-CT
Ig [all sites and immunoglobulin types after the third booster
immunization]: 5.2% ± 2.8%; range, 1.9 to 13.4%) variations.
Antigen type and dose dependency of correlations between specific
antibody responses at different mucosal sites.
On the basis of the
local anti-OVA and anti-CT IgA responses, a comprehensive correlation
analysis was carried out in which the anti-OVA and anti-CT
immunoglobulin responses were compared.
When comparing anti-OVA with anti-CT immunoglobulin responses for given
effector sites, no statistically significant correlation whatsoever was
observed for relative titers (lack of correlation between anti-OVA and
anti-CT relative IgA responses for given sites: P
0.07, Fisher's r-to-z transformation). For
absolute titers, some positive correlations were detected in an
inconsistent manner for serum IgG and urinary, salivary, and vaginal
IgA but not for intestinal IgA (rate of correlation between anti-OVA
and anti-CT responses for given sites: 17% of all possible
correlations were significant; P < 0.05, Fisher's
r-to-z transformation). Thus, the mucosal
antibody immune responses against CT and OVA appear not to be
synchronized over all mucosal effector sites after intragastric immunization with OVA and CT.
Anti-CT responses at different effector sites were mainly unrelated as
well. Less than 7% of all possible relationships were statistically
significant, no matter whether relative or absolute titers were
subjected to correlation analysis (Table
1). As in all previous comparisons, the
few correlations which could be established did not occur in a
consistent manner throughout the different groups. The lack of
correlations was apparently not caused by the bystander antigen OVA,
since the animals immunized with CT alone displayed a similarly low
rate of significant correlations (Table 1).
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TABLE 1.
Dose- and antigen-dependent occurrence of correlations
between antibody immune responses in serum and local secretions
after mucosal immunization
|
|
When comparing the anti-OVA responses at different effector sites, the
occurrence of correlations showed a clear antigen dose dependency. The
rate of significant correlations between local anti-OVA immunoglobulin
responses increased from 2% for the 20-mg OVA dose to over 60% for
the 0.2-mg OVA dose when comparing absolute titers (Table 1). Similar
results were obtained for relative titers. Most importantly, only for
the 0.2-mg OVA dose could correlations between intestinal anti-IgA
responses and those of saliva, urine, or serum be established, for both
absolute and relative titers. When using this antigen dose, specific
salivary and urinary IgA as well as serum IgA and IgG turned out to be
excellent predictors of the specific IgA content in small and large
intestinal secretions (Table 2). The
correlation coefficients ranged from 1.0 to 0.82. In this context it
seems noteworthy that the quality of correlations was independent of
titer ratios, e.g., good correlations could be established between
salivary IgA responses and those in other secretions despite the fact
that absolute and relative anti-OVA IgA titers in saliva were up to
8,000-fold lower than those at other sites.
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|
TABLE 2.
Dose dependency of the predictive power of salivary,
urinary, and serum antibodies for the antibody responses at remote
mucosal surfacesa
|
|
Taken together, the occurrence of correlations between local antibody
immune responses after intragastric immunization seems not to be a
general phenomenon but rather to depend on the antigen type and dosage
used for immunization.
Contribution of plasma transudate to immunoglobulins in feces and
local secretions.
In order to rule out an artifactual cause for
correlations between serum and filter wick-sampled secretions due to
physical damage to the intestinal epithelium by the filter wick fabric or capillary suction, we wanted to compare the naturally occurring plasma leak into feces with that observed after sampling with UniWick
filters. Assuming a nonselective effusion of plasma at sites of
leakage, any plasma protein marker, such as albumin or IgG, allows the
determination of the amount of plasma that leaked into a mucosal
sample. We used IgG as a marker and determined the anti-OVA IgG and IgA
titers in serum, feces, and jejunal secretions for three randomly
selected animals from each immunization group. The relative
contribution of plasma transudate to the sampled volume of intestinal
secretions as well as to the specific IgA contents in feces and
intestinal secretions was computed with equations 1 and 2. The results
are summarized in Table 3 and show that
plasma leakage contributes very little to the specific mucosal IgA
responses. Highest leakage was observed for the 20-mg OVA dose group,
for which no correlations between serum and jejunal IgA existed. We
conclude that the correlations between immunoglobulins in serum and
filter wick-sampled secretions are not caused by plasma transudate.
Lack of influence of intragastric immunizations on total IgA
release at different mucosal effector sites.
Since the lack of
correlations for the 20-mg OVA dosage could be due to an overloading of
the IgA transport systems in the mucosal epithelium, we investigated
whether the total IgA output might rise upon intragastric immunization
in an antigen dose-dependent manner. For normalization, the total IgA
contents of sera, secretions, and excretions of immunologically naive,
mock-immunized animals were determined (Fig.
5). While the IgA contents of feces and urine differ tremendously, total IgA levels in serum and small intestinal secretions are almost indistinguishable.

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FIG. 5.
Total amounts of IgA in serum and local secretions of
mock-immunized mice (3% [wt/vol] sodium bicarbonate) after priming
and three booster immunizations. IgA contents of fecal samples are
given in micrograms per gram (dry weight) and those of all other
samples are given in micrograms per milliliter of liquid. Values
represent means ± SEM of samples from six mice.
|
|
These standard IgA levels were set at 100% and compared to the total
IgA output after immunization with different doses of OVA together with
CT adjuvant. The results are summarized in Fig. 6 and show that total IgA release at
mucosal surfaces is barely affected by intragastric immunization. Total
IgA production was in fact lower than the control levels in some
immunization groups, and significantly elevated IgA contents were
detected in a few samples only. Taken together, these data suggest that
intragastric immunization has no or only marginal impact on IgA
transport at mucosal surfaces.

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|
FIG. 6.
Relative changes of total IgA in serum and local
secretions after priming and three booster immunizations with various
doses of OVA plus CT adjuvant. Total IgA contents in serum and local
secretions of mock-immunized animals are set at 100%. IgA production
significantly higher (asterisk) than that of mock-immunized animals is
indicated (one-way ANOVA, Fisher's protected
least-significant-difference test, P < 0.05).
|
|
 |
DISCUSSION |
Direct analysis of the antibody immune status at remote mucosal
surfaces requires labor- and cost-intensive methods which are not
feasible for routine immune surveys. For that reason, easy-to-sample
specimens, such as saliva and feces, were proposed as substitute
measures to predict the antibody immune status at less accessible
mucosal sites. Unfortunately, there are conflicting reports about the
usefulness of this approach (2, 3, 7, 12, 16).
We therefore carried out an intragastric immunization study in mice
with different doses of the model antigen OVA and the mucosal adjuvant
CT and looked for diagnostically important relationships between immune
responses at different effector sites. The antibody contents of the
respective samples were expressed as endpoint titers because the
endpoint titer technique was shown to more faithfully reflect the
actual antibody content of the samples (23), to allow lower
detection limits (9), and to be more precise for highly
diluted samples (17) than some assays based on standard curves.
Our results demonstrate that strong correlations between specific
antibody responses at different effector sites can indeed be
established, but the existence of such relationships appears to
depend on the type and dose of antigen used, a possible reason for the
apparent conflicts between previous reports.
On the practical side, this opens up the possibility of using urine,
saliva, and serum samples as indirect measures to predict antibody
release in the small intestines after intragastric vaccination. One
problem associated with immunoassays based on urine or saliva samples,
however, is the high dilution of these specimens. Without optimizing
our ELISA system, we would not have been able to detect any anti-OVA
IgA responses in urine or saliva after vaccination with the 0.2-mg OVA
dose. This might explain the almost complete lack of information about
specific IgA responses in urine samples after intragastric immunization
or infection. Only one report (18) describes the occurrence
of Campylobacter jejuni-specific IgA in feces and urine
after naturally acquired infection with C. jejuni, albeit in
a qualitative manner only. In light of the fact that modern diagnostic
tools like immuno-PCR (29), luminometry (15), and
the use of poly-horseradish peroxidase (30) lower the
detection limits to almost the single-molecule level, we are confident
that monitoring the urinary or salivary IgA response of mucosal
vaccinees would be a rapid and cheap method for mass screening. The
high relative amount of specific IgA in urine which was not different
from that in serum, intestinal secretions, or feces substantiates this concept.
The apparent antigen type and dose dependency of correlations between
IgA responses at different sites, however, is a handicap that limits
the usefulness of indirect measures for intestinal immune protection.
We therefore tried to elucidate the reasons for this behavior. Since
higher antigen doses also induced higher anti-OVA immunoglobulin
titers, we first speculated that total IgA release at mucosal surfaces
increases in an analogous manner and eventually becomes saturated,
abolishing correlations between different sites. Yet total IgA release
at the mucosal surfaces of immunized animals was, for the most part,
not significantly different from that of buffer-treated controls.
Obviously, the sIgA transport systems in the gut were still far from
being saturated after all intragastric immunizations. This is supported
by the observation that we did not see any negative correlations
between anti-OVA and anti-CT immune responses in the gut, which would have occurred if both IgA responses competed for an insufficient number
of poly(Ig) receptors. Also, the anti-CT responses were uncorrelated
even in the absence of anti-OVA IgA, and the extremely high anti-CT IgA
responses did not disturb the correlations of the anti-OVA titers for
the low OVA dose.
We therefore favor a different explanation based on a possible clonal
homing behavior of mucosal IgA plasma cells. In two recent
publications, Quiding-Järbrink et al. (25, 26)
demonstrated compartmentalization of mucosal IgA responses due to
differences in the homing receptor equipment of the B-cell clones
expanded. Consequently, the smaller the number of B-cell clones, the
more compartmentalization should arise. This raises the question of how
different types and doses of antigen could affect the clonality of a
B-cell response. One conceivable but still speculative explanation might be found in the stability of the antigens. The more resistant an
antigen is against intestinal digestion, the more homogeneous will be
the material that is delivered to the gut-associated lymphoid tissue.
Consequently, fewer B-cell clones are necessary to clear this antigen.
On the other hand, the more fragments are generated in the gut and
taken up, the more clones must be activated to eliminate the antigen.
Thus, more-stable antigens like CT may generate less clonal diversity
and therefore a lower number of site-to-site correlations, as we
observed. High antigen doses could mimic a similar situation, since the
higher the antigen concentration, the smaller a fraction of antigen
will be broken down by the digestive enzymes in the time window between
application and uptake. Experiments to test this hypothesis are under
way in our laboratory.
 |
APPENDIX |
Supplementary information for the calculation of
plasma leakage into mucosal secretions. The determination of
plasma leakage into feces or filter wick-sampled secretions is based on
the assumption that plasma leaks are caused by physical damage to the
mucosal epithelium and the underlying blood vessels, resulting in an
unhindered flow of blood plasma into the sample. Since no specific
retardation of a certain plasma molecule can occur under these
conditions, any soluble plasma- or serum-specific protein may serve as
a marker for the amount of plasma transudated. We decided on IgG as
plasma-serum marker. Since the final algorithms contain both IgA and
IgG titers, the mutual cross-reactivity of the anti-mouse IgG and IgA
detection reagents (secondary antibodies) should be taken into consideration.
The percentage of mucosal IgA which is due to transudation, can be
described by a mass balance equation (all terms are defined at the end
of the Appendix):
while the percentage of fluid volume transudated can be described
by a volume balance equation:
With the help of the following relationships, which take the
antibody cross-reactivity into account:
and two terms which describe the unhindered plasma flow (i.e.,
serum IgG and IgA transudate equally well) and the plasma specificity
of IgG (i.e., no active or passive transport mechanisms for IgG except
physical damage of the epithelium exist):
the mass balance equation can be resolved to equation 1:
and the volume balance equation to equation 2:
Definitions. ApparentMass, amount of analyte detected;
IgAmuc or IgGmuc, mucosal IgA or IgG;
IgAser or IgGser, serum IgA or IgG;
IgAtrans or IgGtrans, transudated IgA or IgG;
IgAsec, secreted IgA; Titer, dimensionless or volume
(weight)-normalized measure of analyte content, e.g., endpoint titer,
antibody units, or gravimetric units; TrueMass, actual amount of
analyte in the sample; Volsec, Volser,
Volmuc, Voltrans, volume of secreted, serum,
mucosal, or transudated sample, respectively; Xr
IgA, cross-reactivity of anti-mouse IgA with mouse IgG;
Xr
IgG, cross-reactivity of anti-mouse IgG with mouse IgA.
 |
ACKNOWLEDGMENTS |
This work was supported by a personal grant from the
Bundesministerium für Bildung, Wissenschaft, Forschung und
Technologie and research grant FR 958/2-1 from the Deutsche
Forschungsgemeinschaft to A.F. Support for D.E. was provided in part by
project D4 of the Interdisziplinäres Zentrum für Klinische
Forschung of the Westfälische Wilhelms-Universität
Münster. B.M. is a recipient of a personal stipend from the State
of Nordrhein-Westfalen.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Institut
für Infektiologie
ZMBE, Westfälische
Wilhelms-Universität Münster, von-Esmarch-Strasse 56, D-48149 Münster, Germany. Phone: 49-251-835-6477. Fax:
49-251-835-6467. E-mail: frey{at}uni-muenster.de.
Editor:
S. H. E. Kaufmann
 |
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