| |
Diagnostic notes
|
Non-refereed |
Haemophilus
parasuis diagnostics
Simone Oliveira,
BSVM, MSc, PhD
Veterinary Diagnostic
Laboratory, College of Veterinary Medicine, University of Minnesota, 1333
Gortner Ave #244, Saint Paul, MN 55108; Tel: 612-624-8421; Fax: 612-624-8707;
E-mail: oliv0107@umn.edu.
Cite as: Oliveira
S. Haemophilus parasuis diagnostics. J Swine Health Prod. 2007;15(2):99–103.
Also
available as a PDF.
In the past few years, our understanding of the dynamics of
Haemophilus parasuis infection has greatly improved.
Techniques such as polymerase chain reaction (PCR) for detection of
this microorganism in clinical samples and genotyping of field
isolates have certainly enhanced our knowledge on prevalence and
epidemiology of infection. Although we still have a long way to go
regarding the development of effective control measures, the
techniques available for H parasuis diagnosis are extremely
useful for surveillance and management of infection. This report
will describe the diagnostic techniques currently available for
diagnosis of H parasuis. It will also address the advantages
and limitations of each technique and discuss how data can be
correctly interpreted.
Bacterial isolation
Haemophilus parasuis is a gram-negative bacterium that
requires a source of nicotinamide adenine dinucleotide (NAD) for
growth. This microorganism will not grow on regular media, such as
blood agar, unless it is supplemented with NAD. This element, also
known as V factor, may be directly added to the media or can be
provided by a nurse streak of Staphylococcus aureus or by
placing NAD-saturated paper strips onto the blood agar.
Haemophilus parasuis will grow only near the source of NAD,
producing what is called “satellitism.” Isolation of
small, translucent, nonhemolytic colonies showing satellitism to
the NAD source is suggestive of H parasuis.1 It
is very important to note that other NAD-dependent bacteria,
including Actinobacillus indolicus, Actinobacillus
minor, and Actinobacillus porcinus,2,3
can be isolated from swine tissues (mainly lung) and may be
erroneously identified as H parasuis. The minimum
biochemical tests required to differentiate these bacterial species
are described in Table 1. The procedures necessary to improve the
chances of isolating H parasuis from clinical samples have been previously
reviewed.4
Table 1: Minimum biochemical tests* needed to
differentiate five NAD-dependent bacteria that can be isolated from swine
tissues1,2
|
Actinobacillus pleuropnemoniae |
Actinobacillus minor |
Actinobacillus porcinus |
Actinobacillus indolicus |
Haemophilus parasuis |
| Hemolysis |
+ |
- |
- |
- |
- |
| CAMP |
+ |
- |
- |
- |
- |
| Urease |
+ |
+ |
- |
- |
- |
| Indole |
- |
- |
- |
+ |
- |
| Catalase |
- |
- |
- |
+ |
+ |
* Reactions are defined as positive (+) or negative (-). |
Interpretation
Haemophilus parasuis may be isolated from the nasal
cavity, trachea, and lungs of healthy animals. Isolation of this
microorganism from these sites has value only if a herd is
supposedly negative for H parasuis. Isolates of clinical
importance are recovered from the pleura, pericardium, peritoneum,
liver, spleen, joints, and meninges. These isolates should be
tested for antimicrobial susceptibility and further characterized
by serotyping, genotyping, or both. Haemophilus parasuis may
be isolated from lung with severe pneumonia, and it may be the
primary agent involved in development of this lesion.
Antimicrobial susceptibility testing
Antibiotics are widely used in swine production for prevention
and treatment of H parasuis systemic infection.
Antimicrobial susceptibility testing is performed using either disk
diffusion or broth dilution techniques. Guidelines and standards
for these tests are provided by the Clinical and Laboratory
Standards Institute (CLSI). According to this institution,
veterinary-specific interpretive criteria have been established for
relatively few antimicrobial agents.5 Currently, no
standards are available for testing H parasuis, and
procedures and interpretative criteria described for
Actinobacillus pleuropneumoniae and Haemophilus
somnus (Histophilus somni) are used to test this
fastidious microorganism.
The disk diffusion method is based on diffusion of an
antimicrobial agent impregnated within a paper disk through an agar
medium. A suspension of actively growing test organisms is
standardized to a turbidity equivalent to 0.5 on the McFarland
scale. Within 15 minutes of standardization, a sterile swab is
dipped into the bacterial suspension and an agar plate is
inoculated by streaking the swab over the entire surface.
Antimicrobial disks are placed on the plate and are gently pressed
down to ensure their close contact with the agar surface. Inverted
plates are placed in an incubator at 37°C and are examined after 18
hours of incubation. Zones of complete inhibition are measured in
mm using a ruler. The zone sizes are compared to those published by
the CLSI in order to make an interpretation of susceptible,
intermediate, or resistant for each drug tested.6
For the microdilution technique, a series of tubes is prepared
with a broth to which various concentrations of the antimicrobial
agents are added. The tubes are then inoculated with a standardized
suspension of the test organism. After overnight incubation at
37°C, the tests are examined and the minimal inhibitory
concentration (MIC) is determined, with MIC defined as the lowest
concentration of an antimicrobial agent that prevents visible
growth of the microorganism.7
Inconsistencies in antimicrobial susceptibility profiles
obtained from different diagnostic laboratories have been reported
by field veterinarians. Several factors may influence the accuracy
of H parasuis antimicrobial susceptibility testing.
Haemophilus parasuis is categorized as a fastidious
microorganism, requiring a special medium for growth. The CLSI has
published recommendations for preparation of a culture medium
specifically for testing fastidious organisms; however, even minor
changes in methodology can generate differences in results produced
by different laboratories.6 Another factor that may
influence the outcome of antimicrobial susceptibility profiles of
H parasuis is the technique used for testing. Some
laboratories use the disk diffusion technique, and others the
microdilution method. Results obtained may not be identical.
The University of Minnesota Veterinary Diagnostic Laboratory (MN
VDL) uses the disk diffusion technique to test for H
parasuis antimicrobial susceptibility. In our hands, this
technique yields more reliable and reproducible results. Drugs
included in the susceptibility panel are ampicillin, ceftiofur,
cephalothin, chlortetracycline, clindamycin, erythromycin,
florfenicol, gentamicin, penicillin, spectinomycin,
sulphadimethoxine, tetracycline, tiamulin, tilmicosin, and
trimethoprim-sulphamethoxazole. Updated information on H
parasuis antimicrobial susceptibility profiles obtained in the
MN VDL in the fiscal year of 2006 is shown in Figure 1. According
to this data, H parasuis is susceptible to most antibiotics.
However, resistance genes to antibiotics commonly used in swine
production have been recently reported. Tetracycline resistance
genes, more specifically Tet B, have been found in plasmids
recovered from H parasuis isolates involved in an
outbreak.8 Beta-lactam resistance genes are currently
being characterized.9 The use of genotypic approaches
will certainly improve our understanding of antibiotic resistance
in H parasuis.
| Figure 1: Haemophilus parasuis antimicrobial
susceptibility profiles obtained at the University of Minnesota Veterinary
Diagnostic Laboratory during the fiscal year of 2006.

|
Interpretation
An isolate is reported as susceptible, intermediate, or
resistant to an antibiotic depending on the recommendations of the
CLSI for interpretation of results obtained using disk diffusion
and microdilution. Occasionally, H parasuis will not grow in
the media used for antimicrobial susceptibility testing. In these
cases, trends in antibiotic susceptibility profiles can be used for
selection of drugs to be used for treatment (Figure 1). Failures in
antibiotic treatments may occur even when susceptibility testing
indicates that drugs should be effective against a specific
isolate. Although disk diffusion and microdilution techniques have
limitations, especially when testing fastidious organisms, many
other factors, including management practices, route of
administration, compliance, and concurrent viral infections, may
affect the outcome of antibiotic treatments.
Serotyping
Haemophilus parasuis serotyping provides important
information for selection of commercial vaccines. There is good
protection within serotype groups, whereas cross-protection between
different serotypes is generally poor.1 Two techniques
are available for H parasuis serotyping: the agar gel
precipitation test (AGPT) and indirect hemagglutination
(IHA).10,11 The AGPT was the first technique developed
to serotype H parasuis. This technique uses heat-treated
antigens. Extracts are prepared by autoclaving bacterial
suspensions for 2 hours at 121°C, then centrifuging. The
supernatants are used for serotyping. The AGPT is performed on a
glass slide containing agar gel with wells filled with antigen or
rabbit sera specific for the 15
H parasuis serotypes. Precipitation lines are read after 24
hours of incubation.10
The IHA is also performed using heat-treated antigens.
Formalin-inactivated bacterial cells are boiled and centrifuged,
and the resulting supernatant is used to coat sheep red blood cells
(SRBC). The test is performed using a microtiter system. Serial
twofold dilutions of sera are made in saline in U-bottom
microplates. Sensitized SRBC suspensions are added to the wells and
plates and incubated at 37°C for 2 hours. The IHA titer is
expressed as the reciprocal of the highest dilution of serum
showing a definite positive pattern (flat sediment) compared with
the pattern of negative control (smooth dot in the center of the
well).11,12
The literature reports that the AGPT yields a higher percentage
of nontypable isolates (15% to 41%) compared with the IHA test
(< 10%).1,11
Interpretation
There are 15 known serotypes of H parasuis.
Interpretation of serotyping results using AGPT and IHA is
straightforward. Nevertheless, analysis of results may be
subjective. Some field isolates do not produce enough antigens in
vitro to be serotyped. Cross-reaction between serotypes may occur,
and results are reported on the basis of the strongest reaction
among several positive results. Nontypable isolates may generate
cross-reactions that impair accurate serotype allocation. They may
also represent new serotypes for which antisera are not
available.
Detection by PCR
Isolation of H parasuis from clinical samples is
necessary for antimicrobial susceptibility testing, serotyping, and
genotyping. However, this fastidious microorganism requires a
special medium for growth and survives for a short period of time
(8 hours) at room temperature.13 Samples from pigs that
are found dead are frequently culture-negative.4 We have
recently standardized and validated a PCR test to detect H
parasuis in clinical samples (Hps-PCR).14 The
Hps-PCR test being offered at the MN VDL is a modification of a
test previously published. The new test is specific for detection
of H parasuis and was validated using 300 clinical samples
submitted to the VDL for routine testing. Fibrin recovered from the
surfaces of organs with fibrinous serositis was used for bacterial
isolation and PCR testing. Of the 300 samples tested, 146 (48.6%)
were positive for H parasuis by PCR, and 37 (12.3%) were
positive by isolation. Most PCR-positive and isolation-positive
results originated from samples with acute lesions (104 by PCR and
22 by isolation), determined by histopathological evaluation.
Polymerase chain reaction was also positive for nine samples with
subacute lesions and 20 samples with chronic lesions, compared with
three and seven samples, respectively, that were positive by
isolation. The PCR test detected H parasuis in samples
containing mixed bacteria, such as Actinobacillus suis, A
pleuropneumoniae, A indolicus, A minor, A
porcinus, Bordetella bronchiseptica, Pasteurella
multocida, Escherichia coli, and Streptococcus
suis. Testing these bacterial species by the PCR test generated
negative results, confirming the laboratory specificity of the test
for detection of H parasuis. The PCR test was also
successful in detecting H parasuis from samples of acute
lesions with negative isolation results. The PCR is far more
sensitive than traditional bacterial isolation for diagnosis of
H parasuis systemic infection.15
Interpretation
A positive PCR result means that H parasuis DNA was
detected in the clinical sample. Diagnosis of H parasuis
infection on the basis of a positive PCR result is valid. However,
isolation should be pursued for antibiotic susceptibility testing,
serotyping, and genotyping. Positive PCR results for samples from
the nasal cavity, trachea, and lungs are meaningful only if the
herd is negative for H parasuis. Samples to be submitted for
PCR testing should include the fibrinous exudate present in the
pleura, pericardium, peritoneum, spleen, liver, joints, and
meninges. Fibrinous exudate may be collected using a swab. Although
gross lesions may be absent in meningitis cases, a swab of the
brain surface may still be submitted for bacterial isolation and
PCR testing.
Genotyping
Haemophilus parasuis genotyping is performed using the
enterobacterial repetitive intergenic consensus-based PCR, also
known as ERIC-PCR. This technique has greatly improved our
understanding of H parasuis epidemiology. The ERIC-PCR has
allowed identification of strain variability within serotype
groups, and is thus more suitable for epidemiological studies. It
has also exposed the high genetic variability existing among H
parasuis field isolates and has helped to identify differences
between respiratory and systemic strains.16 This
technique is currently used by swine veterinarians to identify the
sources of virulent strains introduced into the herd, to detect
prevalent groups of strains involved in mortality, and for
selection of isolates to be used in autogenous vaccines. It is an
important tool for surveillance, prevention, and control of H
parasuis infections.
ERIC elements are DNA sequences that are distributed throughout
the bacterial genome. These sequences were initially identified in
Salmonella species and in Escherichia coli, hence the
name “enterobacterial.” They were later found to be
highly conserved among different bacterial species. Several copies
of ERIC elements sharing the same DNA sequence may be found in a
given bacterial genome; therefore, these sequences are referred to
as “repetitive” elements. ERIC elements are noncoding
regions located between actual genes or coding sequences, so they
are distributed between genes, ie, in “intergenic”
positions. These elements contain highly conserved central inverted
repeats, which are referred to as “consensus.” Their
relative positions in the genome of a particular bacterial isolate
appear to be conserved in closely related strains. Different
strains have different distributions of ERIC elements in their
genomes. The PCR amplification of genomic regions between ERIC
copies produces a collection of distinct fragments on an agarose
gel. These fragments generate a genomic fingerprint, which can be
used to identify groups of related strains (Figure
2).1,17
Genomic fingerprints may be compared manually or by computer
software. Manual assignment of strain groups is easily performed
when a small number of isolates needs to be compared. Computer
programs are especially useful to organize large databases of
genomic fingerprints in family trees or dendrograms. At the MN VDL,
we use the GelCompare software to manage our genomic databases
(available at https://mvdl.auxs.umn.edu/vetlabs/genomics.html).
The first step in constructing a genomic fingerprint-based
dendrogram is to run the ERIC-PCR and to obtain the picture of the
agarose gel containing the DNA fragments to be analyzed (Figure 2).
The gel picture is then uploaded into the GelCompare software, and
lanes containing genomic fingerprints and molecular size markers
are identified. Molecular markers located in the first and last
lanes of the gel are used to align or normalize the gel picture.
The same marker is added as a “reference” in the
database, so each new gel that is analyzed is adjusted to the
database reference system. This procedure corrects for small
differences between gel runs and allows comparison of genomic
fingerprints from different gels. A positive control with a known
genomic fingerprint is also added to each PCR reaction to assure
reproducibility of the method. This positive control is compared
with previous controls in the database, and a PCR reaction is
either accepted or rejected by comparing presence, absence, and
intensity of bands from positive controls obtained in each run. The
amount of DNA used in the PCR reaction is an important source of
variation in band intensity. It is very important to use the same
amount of extracted DNA for each bacterial isolate so that genomic
fingerprints are comparable. We use 100 ng of DNA per bacterial
isolate.16
| Figure 2: Agarose gel containing Haemophilus
parasuis genomic fingerprints. Lanes 1 and 10: molecular size markers.
Lanes 2–9: H parasuis genomic fingerprints.

|
Genomic fingerprints may be compared using either a band-based
or a curve-based method. The band-based method compares
fingerprints by identifying the presence or absence of bands in a
specific position. This method does not take into account the
intensity of the bands. The curve-based method takes into account
not only the presence, absence, and location of each band, but also
its intensity. This method has proven to be more reliable than band
matching for comparison of H parasuis genomic
fingerprints.16 However, it is also more sensitive to
small variations in the brightness and contrast of different gel
pictures and to variations in results obtained in different PCR
runs.18
Once the gel picture is standardized and densitometric curves
are generated for each band, the next step is to construct a
dendrogram. The input of a clustering method is a similarity matrix
and the output is a dendrogram. Several mathematical models can be
used to generate a similarity matrix. We use the Pearson
correlation coefficient to generate similarity matrices based on
comparison of densitometric curves. Once the similarity matrices
are generated, a clustering method is selected for construction of
the dendrogram. A variety of algorithms for hierarchical or
divisive clustering analyses generating dendrograms are
available.19 We use the unweighted pair-group method,
using arithmetic averages (UPGMA) to construct H parasuis
dendrograms (Figure 3).16 UPGMA is a straightforward
method of tree construction that uses an algorithm shown in Figure
4.
| Figure 3: Construction of a dendrogram for Haemophilus
parasuis using the gel picture shown in Figure 2. The similarity
matrix was calculated using the Pearson correlation coefficient. Cluster
analysis was performed using the unweighted pair-group method with optimization
of 0.5%. Four groups of strains or clusters were identified.

|
| Figure 4: Algorithm for hierarchical clustering
analyses17,19 used to construct dendrograms such as the one
for Haemophilus parasuis shown in Figure 3.

|
Interpretation
The definition of strain is controversial, and may be
considerably different depending on the infectious agent being
evaluated. For H parasuis, isolates sharing the same genomic
fingerprint (identical band pattern, including location and
intensity of bands) are considered the same strain. A genomic
fingerprint-based dendrogram is different from a sequence-based
dendrogram. Dendrograms constructed on the basis of data retrieved
from gel pictures are sensitive to small differences in mobility of
bands in the agar gel and brightness and contrast of the pictures
used for analysis. Even when laboratory conditions are strictly
standardized, it is rare to produce genomic fingerprints that are
100% similar to each other. The dendrograms are very useful to
organize multiple genomic fingerprints in clusters of closely
related strains. However, manual inspection of band patterns,
including presence, absence, and intensity, is still important for
accurate identification of different strains.
Genotype and serotype results are usually associated, meaning
that isolates from a strain group may have the same serotype.
Haemophilus parasuis isolates sharing similar genomic
fingerprints may occasionally have different
serotypes.16 These differences may be real or they may
be the result of subjective interpretation of serotyping
techniques.
Haemophilus parasuis isolates with similar genomic
fingerprints may have different antibiotic resistance profiles. As
for serotyping, these differences may be associated with the
technique used for susceptibility testing or they may be the result
of conditions used in different laboratories. Different resistance
profiles may also be associated with the presence of resistance
genes in extragenomic elements, eg, plasmids.
Summary
Five techniques are currently available for H parasuis
diagnosis: bacterial isolation, antimicrobial susceptibility
testing, serotyping, detection by PCR, and genotyping. These
techniques provide unique and complementary diagnostic information
that can be used for surveillance, prevention, and control of H
parasuis. Detection of H parasuis in clinical samples by
PCR can be used to define the role of this pathogen in mortality,
especially when bacterial isolation is negative. However, H
parasuis isolation is still necessary for antibiotic
susceptibility testing, serotyping, and genotyping. Antimicrobial
susceptibility profiles may vary between laboratories, especially
if different techniques are used for testing. Serotyping can be
performed using AGPT and IHA. Although IHA is reportedly more
sensitive than AGPT, nontypable isolates are still obtained using
both techniques. Genotyping is an excellent epidemiological tool
that can be used for surveillance and control of H parasuis
infections. Epidemiological studies are more robust if information
from isolation site, serotyping, genotyping, and antimicrobial
susceptibility profiles are analyzed in combination.
References
1. Oliveira S, Pijoan C. Haemophilus parasuis: new trends
on diagnosis, epidemiology and control. Vet Microbiol.
2004;99:1–12.
2. Moller K, Fussing V, Grimont PA, Paster BJ, Dewhirst FE,
Kilian M. Actinobacillus minor sp. nov., Actinobacillus
porcinus sp. nov., and Actinobacillus indolicus sp.
nov., three new V factor-dependent species from the respiratory
tract of pigs. Int J Syst Bacteriol.
1996;46:951–956.
3. Kielstein P, Wuthe H, Angen O, Mutters R, Ahrens P.
Phenotypic and genetic characterization of NAD-dependent
Pasteurellaceae from the respiratory tract of pigs and their
possible pathogenetic importance. Vet Microbiol.
2001;81:243–255.
*4. Oliveira S. Improving rate of success in isolating
Haemophilus parasuis from clinical samples. J Swine
Health Prod. 2004;12:308–309.
5. NCCLS. Performance Standards for Antimicrobial Disk and
Dilution Susceptibility Tests for Bacteria Isolated from Animals;
Approved Standard. 2nd ed. NCCLS document M31-A2 [ISBN
1–56238–461–9]. NCCLS, 940 West Valley Road,
Suite 1400, Wayne, PA 19087–1898; 2002.
6. Clinical and Laboratory Standards Institute. Methods for
Antimicrobial Dilution and Disk Susceptibility Testing of
Infrequently Isolated or Fastidious Bacteria; Proposed Guideline.
CLSI document M45-P [ISBN 1–56238–583–6].
Clinical and Laboratory Standards Institute, 940 West Valley Road,
Suite 1400, Wayne, PA 19087–1898; 2005.
7. Clinical and Laboratory Standards Institute. Methods for
Dilution Antimicrobial Susceptibility Tests for Bacteria That Grow
Aerobically; Approved Standard. 7th ed. Clinical and
Laboratory Standards Institute document M7-A7 [ISBN
1–56238–587–9]. Clinical and Laboratory Standards
Institute, 940 West Valley Road, Suite 1400, Wayne, PA
19087–1898; 2006.
8. Lancashire JF, Terry TD, Blackall PJ, Jennings MP.
Plasmid-encoded Tet B tetracycline resistance in Haemophilus
parasuis. Antimicrob Agents Chemother.
2005;49:1927–1931.
9. San Millan A, Escudero JA, Catalan AM, Porrero MC, Dominguez
L, Moreno MA, Gonzalez-Zorn B. R1940 Beta-lactam resistance in
Haemophilus parasuis. Clin Microbiol Infect.
2006;12(suppl 4):1.
10. Morozumi T, Nicolet J. Some antigenic properties of
Haemophilus parasuis and a proposal for serological
classification. J Clin Microbiol.
1986;23:1022–1025.
11. Tadjine M, Mittal KR, Bourdon D, Gottschalk M. Development
of a new serological test for serotyping Haemophilus
parasuis isolates and determination of their prevalence in
North America. J Clin Microbiol. 2004;42:839–840.
12. Mittal KR, Higgins R, Lariviere S. Determination of
antigenic specificity and relationship among Haemophilus
pleuropneumoniae serotypes by an indirect hemagglutination
test. J Clin Microbiol. 1983;17:787–790.
13. Morozumi T, Hiramune T. Effect of temperature on the
survival of Haemophilus parasuis in physiological saline.
Natl Inst Anim Health Q (Tokyo). 1982;22:90–91.
14. Oliveira S, Galina L, Pijoan C. Development of a PCR test to
diagnose Haemophilus parasuis infections. J Vet Diag
Invest. 2001;13:495–501.
*15. Oliveira S, Tomasezewski J, Gayle R, Collins J. Validation
of a PCR test for detection of Haemophilus parasuis in
clinical samples. Proc 49th AAVLD Ann Meet. 2006:134.
16. Oliveira S, Blackall PJ, Pijoan C. Characterization of the
diversity of Haemophilus parasuis field isolates by use of
serotyping and genotyping. Am J Vet Res.
2003;64:435–442.
17. Versalovic J, Koeuth T, Lupski JR. Distribution of
repetitive DNA sequences in eubacteria and application to
fingerprinting of bacterial genomes. Nucleic Acids Res.
1991;9:6823–6831.
*18. Oliveira S, Oleson T, Titus M, Simonson R. Comparison of
Haemophilus parasuis genotyping using ERIC-PCR and AFLP.
Proc AASV. Des Moines, Iowa. 2004:273–276.
19. van Ooyen A. Theoretical aspects of pattern analysis. In:
Dijkshoorn L, Tower KJ, Struelens M, eds. New Approaches for the
Generation and Analysis of Microbial Fingerprints. Amsterdam,
The Netherlands: Elsevier; 2001:31–45.
* Non-refereed references.
|
|