Infection and Immunity, September 1999, p. 4744-4750, Vol. 67, No. 9
0019-9567/99/$04.00+0
Copyright © 1999, American Society for Microbiology. All rights reserved.
Division of Pulmonary Medicine,
Received 3 May 1999/Returned for modification 21 June 1999/Accepted 29 June 1999
Whether allelic variants of the cystic fibrosis (CF) transmembrane
conductance regulator (CFTR) independently contribute to pulmonary
outcome in CF patients has not been resolved. We used both
cross-sectional and mixed-model longitudinal analyses of data from CF
patients that were at least 12 years old to determine the influence on
pulmonary function (percent predicted forced expiratory volume
[FEV1]) of the CFTR gene genotype, gender, mucoid Pseudomonas aeruginosa (MPA) infection status, presence of
total opsonic antibody to MPA, and, separately, the opsonic antibody activity specific to the mucoid exopolysaccharide (MEP) surface antigen. Two different factors were independently associated with the
lack of MPA infection: a high level of MEP-specific opsonic activity
(MSOA), implicating an immunologically based mechanism of resistance to
infection, and a lack of any type of opsonic antibody to MPA,
indicative of no significant exposure or infection. This latter
phenotype was found in a subset of CF patients who carried at least one
uncommon CFTR gene allele suggestive of a genetic basis for resistance
to infection in this group of older CF patients. For CF patients in
whom both CFTR gene alleles were identified by screening for the 12 most common variants (75% of alleles), cross-sectional analysis showed
that MPA infection was best correlated with lower percent predicted
FEV1, while genotype (two versus one Cystic fibrosis (CF) occurs with
mutation in the CF transmembrane conductance regulator (CFTR) gene.
Sixty-six percent of the CFTR gene alleles contain a 3-bp deletion in
the CFTR gene which results in the loss of a phenylalanine residue at
position 508 ( The observation that mild pulmonary disease can exist in some patients
homozygous for the The identification of factors that explain the observed variability in
pulmonary outcome could be valuable both in furthering our
understanding of CF pathophysiology and in accelerating evaluation of
the efficacy of new therapies. Recently, Corey et al. (5) presented rates of decline in pulmonary function based on a mixed-model statistical approach for 363 CF patients analyzed according to age,
sex, CFTR gene genotype, and pancreatic status. However, neither
infection nor immunologic status to MPA was incorporated into their
model. We therefore performed a multivariate assessment of known risk
factors (5, 9), modeling age, MPA infection status, immune
response to MPA, CFTR gene genotype, pancreatic supplement requirement,
and gender to weigh and combine this information for a prediction
of differences in pulmonary outcome. Assessment of longitudinal
analysis, in addition to cross-sectional analysis, of pulmonary
function measurements was chosen because of the failure of prior
cross-sectional studies to detect an impact of genotype on pulmonary
outcome in CF patients and because of the recently demonstrated value
of longitudinal analysis (5).
(This work was presented in part at the Ninth Annual North American
Cystic Fibrosis Conference, Dallas, Tex., October 1995.)
Study population and sample collection.
Of the 425 CF
patients monitored at Children's Hospital, Boston, Massachusetts, in
1993, 263 were at least 12 years of age, 87% of whom were infected
with MPA. A matched-case control study was performed on CF patients
(sweat chloride levels, >60 meq/liter) age 12 and over, with MPA
infection as the exposure. Infected subjects grew MPA from two or more
sputum cultures. Thirty-four of the 263 CF patients were uninfected
subjects with sputum cultures that grew only normal bacterial throat
flora, Staphylococcus aureus, Haemophilus
influenzae, Klebsiella pneumoniae, or non-MPA. None had
evidence of persistent MPA infection on routine biannual cultures. Patients colonized only with non-MPA maintain pulmonary function levels
comparable to those of CF patients carrying only normal throat bacteria
(9). Blood for antibody assessment and genotypes were
obtained from 26 of the 34 eligible uninfected patients. Twenty-seven
infected subjects with both genotype and serum available were matched
on gender and age to the qualifying uninfected subjects (Fig.
1). The infected subjects were derived
from the intersection of two subpopulations: (i) the 76% of clinic
patients age 12 or older who had blood drawn for antibody assessment
during an outpatient visit and (ii) a sample selected by random number
generation who had participated in a genotyping study (32).
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ABSTRACT
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
F508 CFTR gene
allele) and a low level of MSOA were associated with increased risk of
infection. A mixed-model analysis of longitudinal spirometric
measurements that considered multiple risk factors to derive regression
equations was used to determine which clinical parameters had the
greatest effect on the annual rate of decline in percent predicted
FEV1. This analysis showed that the CFTR gene genotype only
modestly modified the constant (y intercept) of the derived
equations, while gender and MPA infection status had the largest
effects on annual rates of decline in percent predicted
FEV1. These results indicate that the CFTR genotype is
usually not a primary determinant of pulmonary function in most CF
patients, but gender and MPA infection status are. Infection status is
potentially influenced by both immunologic (a high level of MSOA) and
genetic factors, such as carriage of a CFTR gene allele that leads to a
diagnosis of CF but still confers resistance to infection that is
comparable to that of the wild-type CFTR gene.
![]()
INTRODUCTION
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
F508 CFTR gene allele) (15). Therefore,
about 44% of CF patients are homozygous for the
F508 CFTR gene
allele. Survival in CF is limited by progressive obstructive pulmonary
disease secondary to abnormal secretions and injury from chronic
infection and inflammation. The predominant pathogen for CF patients is mucoid Pseudomonas aeruginosa (MPA), and infection with this
pathogen is associated with more severe pulmonary disease (9,
16). While
F508 and other CFTR gene alleles (e.g., W1282X, and
G551D) can be categorized as severe with respect to the level of
exocrine pancreatic dysfunction (20), correlations of
genotype with the severity of pulmonary disease have been less clear.
Many analyses of cross-sectional data covarying measures of pulmonary
function with the number of
F508 CFTR gene alleles failed to
demonstrate a dose effect of this allele on pulmonary disease severity
(1, 3, 8, 17, 22, 34). Other evidence, however, suggests that the CFTR gene genotype may influence pulmonary phenotype (4,
5, 14, 18, 23, 25, 35).
F508 CFTR gene allele suggests that other genetic
and environmental factors must modify the pulmonary phenotype in CF
(2, 33). Given the impact of chronic MPA infection, factors
that modify the time of onset or the persistence of infection may
affect long-term outcome. One such factor may be a CF patient's
immunologic status. An immune response composed of opsonic antibodies
specific to the mucoid exopolysaccharide (MEP) coat of MPA was
associated with the absence of MPA infection in older CF patients, and
these antibodies were protective against infection in animal models
(30, 31). Tosi et al. (37) also found naturally
occurring opsonic antibodies of undefined antigenic specificity present
in CF patients prior to infection with a decline in opsonic activity
following MPA infection. The effect of genotype on MPA infection or
pulmonary status was not considered in these studies of CF patients.
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MATERIALS AND METHODS
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References

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FIG. 1.
Schematic diagram of subject selection.
Genotype analysis.
Genomic DNA isolated from each subject
was evaluated for the presence of any of twelve CFTR gene mutations
(
F508, G551D, G542X, 621+1G
T,
I507, 1717-1 G
A, R117H,
N1303K, W1282X, R560T, R553X, and 3849+10kb C
T) by one of three
standard assays (10, 11, 32).
Antibody determinations. As a measure of exposure to and/or infection with MPA, titers of total opsonic antibody to MPA were determined on blinded serum samples by using a well-established opsonophagocytic killing assay (30). Aliquots (100 µl) of heat-inactivated (56°C, 30 min) serum samples were diluted and mixed with equal volumes containing 2 × 106 CFU of MPA strain 2192, 2 × 106 peripheral blood leukocytes obtained from healthy donors and prepared by dextran sedimentation, and a 1:15 dilution of intact human serum as a complement source. Tubes were incubated at 37°C with end-over-end rotation for 90 min, after which the surviving CFU of MPA were counted. The overall opsonic antibody titer to MPA was the reciprocal of the highest serum dilution mediating killing of >50% of the CFU of MPA.
To determine the proportion of opsonic antibodies specific for the MEP antigen of MPA, serum samples were diluted to a point just prior to that at which the level of opsonic killing began to decline, and inhibition and adsorption studies with purified MEP antigen and MPA (MEP expressing) and non-MPA (non-MEP expressing) cells were conducted as described elsewhere (30). MEP-specific opsonic activity (MSOA) was calculated as the percentage of the opsonic killing activity specifically inhibited by purified MEP. In serum samples with a low level of MSOA, the majority (>50%) of the opsonic killing activity was removed by adsorption with a nonmucoid derivative of P. aeruginosa 2192.Pulmonary function measurements. Forced expiratory volume (FEV1) was determined by standard spirometry, and absolute volumes were converted to a percentage of the predicted volume expected for a healthy individual of the same age, gender, and height, on the basis of the regression equations developed by Knudson (19). For each subject, all percent predicted values, including those obtained prior to antibody testing, were included in the analysis. All values obtained subsequent to the initiation of DNase (Pulmozyme; Genentech, Inc., South San Francisco, Calif.) clinical trials were excluded. The time interval between evaluation points varied for each subject.
Statistical analysis. Mean values for continuous variables were compared by the independent-sample t test. The analysis of proportional data was performed by using Fisher's exact test (36). Logistic regression was used to estimate the probability of infection with MPA at a given level of MSOA, with the likelihood ratio chi-square test used to assess significance (12). All P values were two sided, with a P value of <0.05 considered statistically significant, unless otherwise stated.
Several methods were used to assess the pulmonary outcome of infected and uninfected subjects as reflected by percent predicted FEV1. In a cross-sectional analysis, the averages of the three most recent percent predicted FEV1 values for each subject were compared between infected and uninfected subjects by using an independent-sample t test. Because percent predicted FEV1 covaries with age, the most recent percent predicted FEV1 was regressed on the ages for infected and uninfected groups, and the differences in slopes and the intercepts of regression lines were compared, a method used in similar cross-sectional analyses of CF patients (1, 3, 17, 22). To derive formulas for predicting pulmonary function in CF patients at a given point in time by using the repeated measurements of pulmonary function generally available for most CF patients, the data from 1,680 determinations of percent predicted FEV1 were fitted to a mixed model incorporating the random patient effect by using the MIXED procedure in the SAS statistical package, version 6.12 (SAS Institute Inc., Cary, N.C.) (24). This model accounts for repeated measurements on individual subjects and unequal spacing between time points in order to capture age-related rates of change in pulmonary function (21). The percent predicted FEV1 measurements were analyzed in models designed to take into account each subject's age, gender, MPA infection status, genotype (number of
F508 CFTR
gene alleles), MPA antibody titer, MSOA level, sweat chloride level,
and pancreatic supplement requirement. Univariate analysis did not
support inclusion of sweat chloride levels or pancreatic supplement
requirement in the final models. Several covariance structures were
compared to rule out random patient effects, including compound
symmetry, Toeplitz, autoregressiveness, and spatiality. The form of the covariance structure was determined according to the Akaike information criterion commonly used in longitudinal model fitting, with the compound symmetry function demonstrating superior model fit
(13).
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RESULTS |
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Study population characteristics.
CF patients 12 years old and
older were chosen because this is the point at which 87% of patients
in the overall clinic population had acquired MPA infection. Thus, it
is likely that uninfected CF patients 12 years old and older represent
those individuals whose lack of infection is not due to an
environmental factor, such as not having been sufficiently exposed to
MPA. After matching for age and gender, there were no significant
differences in subject characteristics between MPA-infected and
uninfected groups in terms of age at enrollment, sweat chloride level,
or requirement for pancreatic supplementation (Table
1). The frequency of the
F508 CFTR
gene allele was higher among infected subjects (P = 0.05, one-sided Fisher's exact test) than among uninfected
subjects. When infected and uninfected subjects were stratified by the
count of
F508 CFTR gene alleles in a subject's genotype, the
distribution differed significantly, with more subjects in the
MPA-infected group being homozygous for the
F508 CFTR gene allele
(P = 0.03). The relative odds of MPA infection in
subjects homozygous for the
F508 CFTR gene allele were 4.67 (95%
confidence interval, 1.75 to 12.44; P = 0.01) compared
to subjects heterozygous for this allele.
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Characteristics of FEV1 determinations in infected and uninfected subjects. The ages (years) at the first FEV1 determination were similar in the MPA-infected and uninfected subjects (mean ± standard deviation [SD], 12.2 ± 5.5 versus 11.4 ± 7.1, respectively [P = 0.66]), as were the durations (years) of follow-up in pulmonary function measurements (mean ± SD, 13.1 ± 4.5 versus 10.8 ± 4.5, respectively [P = 0.07]). The mean of the first percent predicted FEV1 was lower among infected subjects (mean ± SD, 80% ± 22% versus 95% ± 17% [P < 0.01]) than among uninfected subjects, likely reflecting the effect on pulmonary function of MPA infection prior to age 12 in infected subjects. To assess potential selection bias in the 76% of infected clinic patients 12 years old and older who provided blood samples, we compared the first percent predicted FEV1 used in the analysis from this group to data from the 1997 Cystic Fibrosis Foundation patient registry report and found that the mean ± SD of the percent predicted FEV1 in infected study subjects (80% ± 22%) was virtually the same as that in the national sample (age 13; mean ± SD, 79.1% ± 22.4% [n = 680]) (6). Follow-up for at least 6 years occurred in 25 infected (93%) and 22 uninfected (85%) subjects. MPA-infected subjects had over twice as many data points as uninfected subjects (mean number of FEV1 measurements per subject, 44 ± 27 versus 19 ± 13, respectively [P < 0.001]). Eighty-five percent of infected subjects had at least 16 FEV1 measurements, and 85% of uninfected subjects had at least 7 FEV1 measurements.
Antibody measurements and relationship to pulmonary function.
Forty of the 53 subjects had measurable serum opsonic activity that
mediated killing of MPA without regard to the antigenic specificity of
the antibodies, indicating exposure and/or infection with P. aeruginosa. However, when the opsonic antibodies were classified
according to their specificity for the P. aeruginosa MEP
antigen (i.e., MSOA), the mean (± standard error [SE]) MSOA level
was dramatically lower in infected subjects than in uninfected subjects
that were homozygous for the
F508 CFTR gene mutation (6.4% ± 2.5%
[n = 18] versus 71.3% ± 6.8% [n = 9], respectively [P < 0.001]).
F508 CFTR gene allele
(Fisher's exact test, P = 0.0002, compared with 27 of
40
F508 CFTR gene homozygous subjects with opsonic antibody to MPA).
All of the remaining 12 uninfected subjects lacking any opsonic
antibody to MPA were compound heterozygotes for CFTR gene alleles. Of
these 12, 9 had one
F508 CFTR gene allele, but the second allele was
identified for only 2 of these 9 subjects (N1303K and G542X); the
remaining 7 subjects carried a second CFTR gene allele that was not
among the 12 most common ones we screened for. Two uninfected patients
lacking any opsonic antibody were also compound heterozygotes with one
of the two alleles not identified and the second allele being either
G542X or G551D. The final uninfected patient lacking any antibody
carried two unidentified CFTR gene alleles. Overall, 10 of 12 uninfected CF patients lacking any opsonic antibody had at least one
CFTR gene allele that was not among the 75% screened for.
We next determined if the serum MSOA level could serve as a single
explanatory variable for the likelihood of being infected with MPA.
Using the MSOA level from all 40 subjects with serum opsonic killing
antibodies against MPA, we derived a logistic regression model to
estimate the probability of being infected with MPA by using the
following formula: probability of infection = exp(7.6
0.2 M)/{1 + [exp(7.6
0.2 M)]},
where exp is the base of the natural logarithm and M is the level of
MSOA, ranging from 0 to 100% (Fig. 2).
This model revealed that if 35% of the serum opsonins are specific for
MEP, there was an approximately 50% risk of infection. Higher levels
of MSOA lead to lower risks of infection. There was a significant
positive association (likelihood ratio test, 46.85; P < 0.0001) between MSOA and the probability of MPA infection.
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Correlations of clinical parameters and pulmonary status determined
by cross-sectional outcome analysis.
The ages (years) at which the
most recent percent predicted FEV1 was obtained were
comparable for MPA-infected and uninfected subjects (mean ± SD,
18.0 ± 8.0 versus 20.7 ± 6.8, respectively [P = 0.20, t test]), but the mean of the percent predicted
FEV1 was lower among MPA-infected subjects than uninfected
subjects (mean ± SE, 61% ± 5% versus 87% ± 5%, respectively
[P < 0.0001, t test]). When the most recent percent
predicted FEV1 for infected and uninfected subjects was
regressed on age, analysis of covariance indicated that there was no
difference in the estimated rate of decline of percent predicted
FEV1 between these groups (P = 0.82), but
there was a difference (
) between groups in the constants (y intercepts,
= 21.81; SE = 6.13;
P < 0.001, t test).
5), regardless of its antigenic specificity, had a lower mean percent
predicted FEV1 than the 13 subjects without any opsonic antibody (mean ± SD, 65% ± 25% versus 95% ± 20%,
respectively [P < 0.0001, t test]). When subjects
were compared by the number of
F508 CFTR gene alleles (0, 1, or 2),
no differences were detected among these three groups with regard to
the means of the three most recent percent predicted FEV1
(±SE) (no
F508 alleles, 82% ± 41% [n = 6]; one
F508 allele, 79% ± 29% [n = 20]; two
F508 alleles, 68% ± 21% [n = 27] [P = 0.30]).
The percent predicted FEV1 for all males did not differ
from that of all females. Thus, the cross-sectional analysis
demonstrated an association of both genotype and MSOA with infection
status and an effect of infection status on percent predicted
FEV1 without revealing a direct association of genotype
with percent predicted FEV1.
Correlations of clinical parameters and pulmonary status determined
by longitudinal analysis.
We therefore sought to develop a model
to estimate percent predicted FEV1 in CF patients by
incorporating the factors shown to impact pulmonary function in the
cross-sectional analysis, along with genotype and the immunologic
status toward MPA that could also be expected to affect pulmonary
function. In the statistical analysis with a mixed model, the main
effects modeled were age, gender, infection status, number of
F508
CFTR gene alleles, pancreatic supplement requirement, and overall titer
of opsonic antibody to MPA. The terms in the final mixed model were
overall opsonic antibody titer (likelihood ratio test, 6.64;
P < 0.01), age by infection status (likelihood ratio
test, 31.13; P < 0.0001), age by gender (likelihood
ratio test, 8.38; P < 0.01), and number of
F508
CFTR gene alleles by gender (likelihood ratio test, 27.17; P < 0.0001). From the mixed-model analysis, specific equations were
generated for the estimation of percent predicted FEV1 in CF patients with evidence of exposure to P. aeruginosa as
determined by the presence of an opsonic antibody of any specificity,
classifying the patients by MPA infection status, gender, and genotype
(Table 2).
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F508 CFTR gene would be predicted to have a FEV1
of 47% at age 30.6, the median survival age for CF patients in the
United States in 1997 (6), whereas an uninfected female of
the same age and genotype would have a percent predicted
FEV1 of 71%. The similar calculated percent predicted
FEV1 for infected versus uninfected males homozygous for
the
F508 CFTR gene would be 50% versus 74%, respectively.
The differences between the pairs of slopes for infected and uninfected
females and males were compared by t tests (Fig.
3). Infected females had a significantly
more rapid annual rate of decline in percent predicted FEV1
(2.2%) than any of the other three groups (P
0.0014). The annual rate of decline of percent predicted
FEV1 in infected males (1.7%) was not significantly different from that in uninfected females (1.4%; P = 0.25). The annual rate of decline of percent predicted
FEV1 in uninfected males (0.9%) was significantly lower
than that for the other three groups (P
0.0014).
This analysis confirmed the importance of a subject's gender and
infection status in estimating percent predicted FEV1 in CF
patients homozygous for the
F508 CFTR gene allele.
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F508
CFTR gene alleles was small (three males and three females, 10% of all
CF patients studied), the model was used to compare male and female
subjects with one versus two
F508 CFTR gene alleles (representing 70% of all individuals with CF). These comparisons yielded a
likelihood ratio chi-square value of 6.65 (P < 0.01),
indicating that the effect of the
F508 CFTR gene allele number is
different in males and females. Although the results we obtained
indicate that males with two
F508 CFTR gene alleles would have a
higher percent predicted FEV1 than males with one
F508
CFTR gene allele, this difference is reflected only in the initial term
(constant at age 12) of the regression equations comparing males with
one or two
F508 CFTR gene alleles (Table 2). This difference in
percent predicted FEV1 was no more than 3.4% between these
two groups of males at any given age. As expected, females with two
F508 CFTR gene alleles had a lower percent predicted
FEV1 compared with those with one allele, but again the
difference was small (0.9% difference in FEV1). Overall,
while the mixed-model analysis was sufficiently robust to determine
that the impact of the CFTR gene genotype was statistically
significant, the magnitude of the absolute difference at any age in
percent predicted FEV1 based on genotype was quite small,
ranging from 0.9 to 3.4%.
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DISCUSSION |
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This study demonstrates that pulmonary function in CF, as reflected by percent predicted FEV1 measurements, can be modeled with an appropriate statistical analysis. Factors we identified as being statistically significant in the model included infection by MPA, the presence of a high MSOA, the subject's gender, and the subject's genotype. The first three factors have all been previously determined to be independent factors associated with pulmonary disease in CF (9, 30). However, the manner in which these independent factors interact to cause the loss in pulmonary function in CF, and the magnitude of the impact of these different factors, was revealed only by using the mixed-model approach. Importantly, our findings on the rate of decline in pulmonary function based on age and gender are very similar to those recently reported by Corey et al. (5), who also used a mixed-model analysis of multiple factors, but they did not include infection or immunologic status as main terms in their model. While the number of patients we studied (n = 53) was considerably fewer than the number (n = 363) studied by Corey et al. (5), the comparability of the results from the two mixed-model analyses indicates that the number of patients we studied, along with the large number of spirometric measurements (n = 1,680) used, was sufficient to model the effects of the CFTR gene genotype, gender, and immunologic status on rates of pulmonary decline in CF patients.
The mixed-model longitudinal analysis incorporates the effects of multiple characteristics and their combinations which influence the trajectory of change over time. The complexity of the factors that influence pulmonary function in CF, including interactions of infection and immune status and gender-specific effects of mutations in the CFTR gene, may have obscured previous attempts to use cross-sectional analysis to associate genotype, as an isolated factor, with pulmonary status in CF patients. Our results indicate that under these complex circumstances genotype by itself may be more of a determinant of susceptibility to infection, whereas infection has more of a direct effect on pulmonary status.
One example of this relationship was seen among nearly one-half of 26 older, uninfected subjects lacking any antibody to MPA. These subjects
had a higher percent predicted FEV1 than those with any
type of detectable opsonic antibody. Of the 13 subjects lacking any
opsonic activity to MPA, only one was infected and this was the only
patient in this group that was homozygous for the
F508 CFTR gene
allele. Since all the serum samples were screened against a single MPA
strain which produces both a MEP antigen and additional, conserved
P. aeruginosa cell surface antigens (29, 30), it
is possible that this single infected patient carried a rare strain
lacking shared epitopes that are targets of an opsonic antibody. The
other 12 patients lacking any opsonic antibody were compound
heterozygotes, and 10 of these had at least one CFTR gene allele that
was not among the 75% of the most common alleles we screened for. The
lack of MPA infection in these 12 subjects may have resulted from CFTR
gene alleles that cause altered chloride ion secretion properties,
leading to elevated sweat chloride levels and a diagnosis of CF, that
still confer natural resistance to MPA infection comparable to that of
humans without CF, who rarely, if ever, have high levels of MSOA
(30).
A potential mechanism to explain these findings has been proposed by
Pier and colleagues, who demonstrated that the wild-type CFTR protein
is a receptor for P. aeruginosa involved in airway epithelial cell internalization of this organism leading to bacterial clearance from the lung epithelium (27, 28). The absence of a CFTR in epithelial cells, as occurs with
F508 CFTR gene alleles and other alleles, has been proposed to prevent normal clearance of
P. aeruginosa from the airway epithelium. Among the CF
patients with no opsonic activity to MPA and no infection, most of whom carried at least one rare (<0.2% frequency) CFTR gene allele, it is
possible that the rare allele encoded a protein with the wild-type
property needed for P. aeruginosa clearance from the airway
epithelium but diminished chloride ion conductance. Because the CFTR
gene genotype is associated with both pulmonary function and infection
status, it may have its greatest effect on pulmonary function
indirectly by modifying infection status. The CF subjects lacking both
MPA infection and a common CFTR gene allele likely maintain resistance
to MPA infection that is comparable to that in individuals with
wild-type CFTR gene alleles.
Our study reinforces results from previous reports demonstrating that
lung infection with MPA is a key factor accelerating the decline in
pulmonary function of CF patients (9, 14, 16). Better lung
function is found among CF patients lacking MPA infection, and the
presence of nonmucoid P. aeruginosa in the absence of MPA
does not compromise lung function any differently in these patients
than in those without any detectable P. aeruginosa in their
sputum cultures (9, 26). High MSOA levels, an apparent specific immune resistance mechanism that has previously been related
to lack of MPA infection in older, nongenotyped CF patients (30), was also shown in this study to independently modify
the probability of MPA infection within a group of CF patients with a
homogeneous CFTR gene genotype (
F508/
F508). Thus, host immune status is a determinant of the development of pulmonary pathology due
to MPA infection and is unlikely to be affected by the CFTR gene locus.
Interestingly, when we grouped all patients with an opsonic antibody to MPA together, regardless of the antigenic specificity, the presence of an opsonic antibody to MEP (i.e., a high level of MSOA) was not found to be a main effect in the final statistical model. The finding that the presence of an opsonic antibody of any specificity to MPA was a factor to include in the final model likely reflects the association between this measurement and infection; almost all CF patients infected with MPA have a measurable opsonic antibody to this organism. The lack of an effect of a high level of MSOA in the final model was attributed to the small number of subjects with this phenotype. However, the fact that a high MSOA level independently predicted MPA infection and the infection had a major impact upon pulmonary status indicates that MSOA likely impacts the equations derived in the mixed model by its ability to categorize CF patients as either infected or uninfected with MPA.
The study was limited by several factors. We excluded patients under 12 years of age because the age-related rate of acquisition of MPA
infection in CF patients indicates that some subjects under age 12 are
too young to have been sufficiently exposed to become infected
(6). Since 87% of our study population 12 years old and
older was infected with MPA, this likely indicates an age where
exposure or other age-related, nonimmunologic, and nongenetic factors
impacting infection will be minimal. Indeed, as long as infection
status is a major component for predicting pulmonary function in CF, it
is unlikely that any model could be derived that would be applicable to
patients under the specific age where nearly 90% of patients that will
become infected have become infected. In addition, the frequency of
severe non-
F508 CFTR gene mutations may vary geographically
(7), indicating that differing results among
genotype-phenotype studies (1, 3, 8, 14, 17, 22, 23, 34, 35)
could be partially explained by an increased representation of
unidentified mutations that more or less adversely impact the
respiratory system. It is also clear that greater confidence in our
results will follow once they are validated with a larger number of
patients. However, the equations we derived for effects of gender and
infection status on pulmonary status using 53 patients and 1,680 spirometric measurements were very similar to those of Corey et al.
(5), who analyzed 363 patients and 9,362 pulmonary function
tests. Overall, both studies showed the value of mixed-model analysis
for predicting pulmonary outcomes in CF, and we have extended the work
of Corey et al. (5) to include infection and immune status
in the mixed-model equations for predicting pulmonary outcome.
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ACKNOWLEDGMENTS |
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We are indebted to James H. Ware and Mary Ellen B. Wohl for their reviews of the manuscript and helpful discussions. We also thank Denise DesJardins and Gloria Meluleni for conducting the opsonophagocytosis assays.
This work was supported in part by NIH grants DK2273 (R.B.P.) and AI22806 (G.B.P.) and by a Trudeau Scholarship of the American Lung Association (R.B.P.).
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FOOTNOTES |
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* Corresponding author. Mailing address: Channing Laboratory, 181 Longwood Ave., Boston, MA 02115. Phone: (617) 525-2269. Fax: (617) 731-1541. E-mail: gpier{at}channing.harvard.edu.
Editor: E. I. Tuomanen
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