Martina Vermathen1, Norbert Mueller2, David Leitsch3, Damian Hertig4, Peter Vermathen4, and Joachim Mueller2
1Department of Chemistry and Biochemistry, University Bern, Bern, Switzerland, 2Institute of Parasitology, Vetsuisse Faculty, University Bern, Bern, Switzerland, 3Institute of Specific Prophylaxis and Tropical Medicine, Medical University of Vienna, Vienna, Austria, 4DBMR & DIPR, University Bern, Bern, Switzerland
Synopsis
The intestinal protozoan parasite Giardia lamblia is a major cause of
persistent diarrhea in humans and animals worldwide. Treatment of giardiasis
with nitro-prodrugs relies on intrinsic enzymes in G.lamblia that are involved in activating or deactivating the
prodrugs. To elucidate more about the physiologic function of these pathways
and their potential roles in drug resistance, G.lamblia wildtype and transgenic strains were metabolomically
characterized based on 1H HR-MAS NMR data and specific metabolites
that may be related to nitroreductase activity were identified and discussed.
INTRODUCTION
The intestinal anaerobic protozoan parasite Giardia-lamblia is a major cause of
persistent diarrhea.
The treatment of Giardia infections is typically performed with nitro-compounds1.
Most likely the mechanism of action relies on the reduction of the nitro group
via enzymatic pathways in G.lamblia thereby
activating the prodrugs. Enzymes such as thioredoxin reductase (TrxR) and the
nitroreductases NR1, NR2, and NR3 with weak NR activity have been identified in
G.lamblia and may be involved in the
activation of or the resistance towards nitro-prodrugs2,3. Overexpression
of NR1 results in an increased susceptibility to nitro-compounds in G.lamblia, whereas overexpression of NR2
results in an increased resistance in E.coli2,3.
TrxR was found to have only little impact on nitro-drug activity and TrxR overexpression
in resistant strains may be related to its role as radical scavenger4.
The physiologic functions of these enzymes TrxR and NR1-3 in G.lamblia are not yet known.
Previously, we have introduced HR-MAS NMR to study the
metabolome of G.lamblia5. The
aim of the current study was to compare the metabolomic patterns of G.lamblia strains with altered
expression levels of the respective genes for getting insight into physiologic
pathways.EXPERIMENTAL PROCEDURES
G.lamblia strains -
(i) G.lamblia
overexpressing either the wildtype thioredoxin reductase (TrxR, n=10), or a
dominant negative allele (TrxR-DN, n=10) and WBC6 wildtype as controls (WT1,
n=10);
(ii) G.lamblia
overexpressing the nitroreductases NR1 (n=5), NR2 (n=6), and NR3 (n=5), control
strains overexpressing glucuronidase A (GusA, n=6) and WBC6 wildtype (WT2,
n=4);
(iii) G.lamblia
nitro-drug resistant strain (C4, n=10) and WBC6 wildtype (WT3, n=4).
Preparation of cell samples - G.lamblia
trophozoites were grown to confluence in modified TYI-S33 medium and harvested.
After centrifugation, washing, and shock freezing, samples were stored at -70°C
until measurement.
NMR Spectroscopy - NMR
was performed on a 500 MHz NMR spectrometer. 1H
HR-MAS NMR experiments (3kHz and 279K) were recorded using a 1D-PROJECT
sequence6 with water-presaturation.
Data Analysis - The NMR spectra were subdivided into 138 individually
sized buckets. Multivariate data analysis was performed applying probabilistic
quotient normalization (PQN), mean centering and pareto scaling. PCA (for unsupervised
detection of group clustering) and orthogonal partial least squares
discriminant analysis (oPLS-DA) were performed, cross-validated, and subjected
to permutation testing.
For univariate statistical
analysis representative spectral regions for 27 metabolites were integrated,
normalized and mean±sd calculated. Single factor ANOVA and t-tests were performed.
p-values were multiplied with 27 to correct for multiple comparisons
(Bonferroni-correction). Metabolites
that were significantly different between the independent wildtype populations
were excluded from the discussion (Ala, Asn, Glu, Leu, Thr, Val, Glc-1-P, and
TMA).RESULTS
Three independent sample cohorts of G.lamblia trophozoites were compared:
(i) TrxR, TrxR-DN, and WT1;
(ii) NR1, NR2, NR3, GusA, and WT2;
(iii) C4 and WT3.
Twenty-seven metabolites were identified based on our
previous assignment5. PCA and oPLS-DA score plots and average normalized
peak integrals for each of the 27 metabolites are displayed in Fig.1 for the
first and in Fig.2 for the second sample cohort. The two transgenic strains
TrxR and TrxR-DN were well separated from WT1 in both, PCA and oPLS with TrxR
scores lying furthest away from WT1 (Fig.1A,B). Main metabolite contributions
to distinguishing TrxR and TrxR-DN derived from increased acetate and decreased
lysine levels in TrxR (Fig.1C).
When comparing trophozoites overexpressing nitroreductases
NR1, NR2, and NR3 to GusA and WT2, PCA and oPLS-DA resulted in complete
separation of NR1 and NR2 classes whereas NR3, GusA and WT2 overlapped (Fig.2A,B).
The plot shows greatest distance for NR1 from WT and there is the order NR1 -> NR2 -> NR3 clustering with GusA -> WT. Specifically, nine metabolites were significantly
altered in NR1 versus GusA (Fig.2C), namely acetate, cystine, glutamine,
methionine, phenylalanine, tyrosine, citrulline, ornithine and pipecolic-acid. A typical NMR spectrum representing peaks for
ornithine and citrulline from NR1 and GusA trophozoites is shown in Fig.3.
To
probe, whether the metabolic pattern obtained by comparing NR1 versus GusA
could be linked to the nitro drug susceptibility, an oPLS-DA model calculated
for discrimination between NR1 and GusA (Fig.4A) was applied to the nitro drug
resistant C4 trophozoites with reduced NR1 activity and WT (Fig.4B). The
predictive value of the model was very good, leading to complete separation of C4
versus WT, i.e. suggesting a correlation between nitroreductase activity and
the metabolome. This was underlined by a significant correlation between the
ratios WT/C4 vs. NR1/GusA of eight metabolites (Fig.4C).DISCUSSION
Trophozoites expressing the nitroreductase NR1 exhibited
a distinct pattern of nine differentially regulated metabolites. This pattern
inversely correlated with a pattern of the same metabolites in the nitro drug
resistant strain C4. The catabolism of arginine, a major energy source for G.lamblia, is of particular interest.
Citrulline and ornithine, the first and the second catabolites of arginine were
positively, glutamine, an indirect catabolite of ornithine, was negatively
correlated with NR1 levels, suggesting that NR1
interferes with the catabolism of arginine. Since the ATP levels are unaltered
in NR1 as well as in all other transgenic trophozoites, a direct interference
with energy supply is unlikely.CONCLUSION
The study demonstrates significant metabolic
differences between G.lamblia wildtype
and transgenic strains that are likely related to nitroreductase activity.Acknowledgements
This work was supported by the Swiss National Science Foundation (grant
No. 31003A_163230) and grant No. 206021-128736 for the purchase of the HR-MAS
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