Proteomics and Food Safety
The role of bacteria in food processing and food safety
Foodborne illnesses result in numbers of hospitalizations and even
deaths. Each year in the USA,
about 325 000 hospitalizations and 5000 deaths caused by food poisoning are
registered. Unfortunately, microorganisms and microbial toxins, especially
foodborne ones as weapons of mass destruction still remain a threat. In food
technology and biotechnology, careful monitoring of microbial contamination in
the final product as well as monitoring of the production process and cleaning
and sanitation are one of the most essential factors of the manufacturing
process (44). The identification,
confirmation, and quantification of bacteria and bacterial toxins in food are
important analytical problems. The most common bacteria that cause food
poisoning are Staphylococcus aureus,
Campylobacter jejuni, some Salmonella
and Staphylococcus species, some Bacillus strains and Escherichia coli O157:H7 strain. There are well-established and
sensitive methods for detection of bacteria and their toxins available, mostly
based on immunochemical methods. Proteomics and genomics technologies offer
further, more sensitive and specific methods for identification of microbial
food contaminants and their toxins, and for monitoring of cleaning and
sanitation (45-48).
There are only few investigations that follow changes of proteomics of
contaminating bacteria during food processing and equipment sanitation. The use
of high hydrostatic pressure (HHP) technology is a new method for food
preservation. Proteins are known to be the most important target of high
pressure in living organisms (49) and
HHP inhibits the growth of microorganisms by inactivating key enzymes that are
involved in DNA replication and transcription enzymes and modifying both
microbial cell walls and membranes (50).
However, some bacteria such as Bacillus
cereus can survive HHP treatment. Martinez-Gomariz et al. (51) analyzed
changes in the proteome of this model organism during the HHP treatment. They
found quantitative differences and identified some of differently expressed
proteins. As expected, the expression of some proteins involved in nucleotide
metabolic process was changed, but some other proteins such as those involved
in carbohydrate catabolic process and transport, refolding, amino acid
biosynthesis and bacterial ciliary and flagellar motility were also
differentially expressed.
In a remarkable study, Boehmer at
al. (52) follow proteomic changes
in whey samples from a group of cows before and 18 h after infection with E. coli. Due to decreased milk
production and quality, discarded milk and cattle mortality, such infections
can cause mastitis, which is the most costly disease that affects the dairy
industry. The aim of this study is the identification of biomarkers for
evaluation of the efficacy of adjunctive therapies in decreasing inflammation
associated with mastitis. Higher expression of some acute phase proteins such
as transthyretin and complement C3 were found in whey samples 18 h after bacterial
infection, but also some antimicrobial peptides and further acute phase α-1-acid glycoprotein were also
detected. These biomarkers are candidate for future research into the effect of
bacterial inflammation during mastitis.
As mentioned above, biofilm formation is an important fact that has to be
taken into consideration during design of cleaning of stainless containers and
other surfaces in food processing facilities. This problem has already been
discussed in a review paper about microbial proteomics (5). In biofilms, some microorganisms such as sporogen bacterium Bacillus cereus (53-55), the Gram-positive bacterium Listeria monocytogens (56)
and some pathogenic E. coli strains (57) can survive on the surface of
stainless containers and other surfaces in the manufacturing facility, even
under cleaning and sanitizing conditions. Better knowledge of biofilm formation
and conditions that cause its degradation is necessary to prevent contamination
by the above listed bacteria (58).
Other biofilm-forming bacteria, such as Staphylococcus
species (59) can survive food
processing and cause human and animal infection. Incorporation of
microorganisms is a kind of the natural way for their immobilization, and the
high density of biofilms gives them better ability to survive aggressive
treatment, but also a substantial, biocatalytic potential. The use of
immobilized bacterial cells and bacterial biofilms for biosensors for food
quality analysis and fermentation process control has been discussed elsewhere
(5,18,60), and use of immobilized
yeasts in brewing and winemaking processes will be presented later. In summary,
in addition to physiological and genomic analyses, proteomic analysis of
biofilm-forming microbial cells gives valuable information about their behavior
during food processing and storage, symbiosis, possible infection and potential
food poisoning, their defense against antimicrobial agents, and the potential
to survive the cleaning and sanitation process (5,18,58).
The health-promoting properties of some bacterial species that colonize
the human gastrointestinal tract have been documented in clinical trials and
they are gaining popularity as food additives (61). Bifidobacteria and lactobacilli are the most popular
microorganisms that are added as live bacteria to food preparations under the
generic name of probiotics (61-63).
The proteomic map of Bifidobacterium
longum, a strict fermentative anaerobe, was first performed about five
years ago (64,65). The topics of the following
investigations included the survival mechanisms of this bacterium focused on
altered protein expression following bile salt, heat or osmotic shock, which
these bacteria are exposed to in the human gastrointestinal tract and during
the food manufacturing process (66-68, for
review see 69). These studies can
also be used as a model for survival of other bacteria under similar conditions
(69,70).
Prions
All prion diseases or transmissible spongiform encephalopathies (TSEs)
are characterized by the deposition of an abnormal conformation (PrPSc)
of a normal cellular protein (PrPC) in neural tissues in humans and animals.
The different protein conformations are associated with different physicochemical
properties (71). PrPC is
relatively soluble and protease-sensitive, while PrPSc is relatively
insoluble and protease-resistant. TSEs include scarpie in sheep and goats, and
bovine spongiform encephalopathy (mad cow disease or BSE). Human form of this
disease is infectious Creutzfeldt-Jakob disease (CJD) caused by the consumption
of meat and meat products of prion infected animals (71,72). The outbreaks of BSE and infectious variant CJD have
prompted the need for reliable screening methods for prion infections as part
of the safety control for meat and meat products. Identification of prion
proteins is usually a time-consuming process and includes immunoaffinity
techniques, combined with one- and two-dimensional electrophoresis and mass
spectrometry (73,74). Although
intensive studies have been performed, it is still long way to identifying
reliable biomarkers for prion infection. Detection of prion-binding proteins
did not give further revealing information about the biology of prions and the
pathogenesis of TSE (72, 74-76). One
of potential biomarker candidates is ubiquitin. This protein could be
identified in the cerebrospinal fluid of CJD patients (77). However, this recent study has been performed only with a
small number of samples, and ubiquitin as a highly abundant protein cannot be
taken in consideration as a reliable biomarker. Herbst et al. (78) used a
multidisciplinary approach to identify antemortem
markers for prion disease. This rather complex strategy combines matrix-assisted laser
desorption/ionization Fourier transform mass spectrometry (MALDI-FTMS), mass
fingerprinting and bioinformatics for identification of candidate biomarkers in
infected animals. Again, results of this study are still rather limited, and
true positive rate was relatively low. More promising is recently published
study by Nomura et al. (79). This group reported detection of
autoantibodies in the sera of cattle with bovine spongiform encephalopathy.
These autoantibodies were directed against glial fibrilary acidic proteins, and
could be detected only in the serum of TSE-infected animals.
Tsiroulnikov et al. (80) presented a method for
decontamination of animal meat and bone meal by use of bacterial proteolytic
enzymes. Nattokinase from Bacillus
subtilis that has been used for fermentation of boiled soybeans is also
able to degrade prion proteins and potentially prevent prion infection (81). However, it is still a safety risk,
if such contaminated animal food is used, and prion detection and elimination
of diseased animals and contaminated meat (74-79)
is a much safer way to prevent these kinds of foodborne diseases.
Allergens and toxic components
Proteins are responsible for many allergic reactions. The most
threatening allergic reaction, anaphylaxis, is most frequently caused by
peanuts or tree nuts (82). That is
also the reason that most proteomic investigations towards identification and
quantification of allergens were performed on food of plant origin (83). Milk and milk products, as well as
seafood and processed food are other kinds of food that cause allergies (35). However, there are only few
investigations of animal proteins involved in these adverse reactions.
Proteomic strategies used in order to achieve more detailed and
comprehensive characterization of food allergens are referred as ‘allergenomics’
(84). The common procedure for
detection of proteins involved in allergic reactions is protein extraction (e.g. with 8 M urea with 4 % CHAPS,
buffered with 40 mM Tris. HCl, pH=7-8), electrophoretic separation (SDS-PAGE or
2D electrophoresis), and detection of IgE binding proteins by immunoblotting.
After tryptic digestion, the IgE binding proteins as potential allergens can be
identified by mass spectrometry (84,85).
This very effective, but also time-consuming method is similar to the method
presented in Fig. 2. Stevenson et al.
(82) use gel-free, label-free
quantitative approach for identification of peanut allergens. Quantitative evaluation
was achieved by peak integration and spectral counting in comparison with a
protein standard. The workflow of this analytical procedure is shown in Figure
2. In the future, this method could be useful for high-throughput profiling of
proteins, including seed allergens. However, more standardization and
validation are still necessary.
Figure
2. (ref. 82)
Most allergies in the USA
are caused by peanuts and peanut containing food products (82), and peanut proteins that may cause allergies are well
characterized. Chassaigne et al. (86) use 2D electrophoresis,
immunoblotting and high-resolution mass spectrometry for allergen detection in
peanut seeds. They detected several isoforms of main allergens Ara h 1, Ara h
2, Ara h 3/4. Proteomic analyses show different contents of these allergens in
different peanut varieties, and also the presence of several fragments of these
proteins (87). As shown by Stevenson et al. (82), these proteins are absent from genetically engineered peanut
seeds.
Bässler et al. (88) use a multidimensional protein
fractionation strategy and LC-MS/MS for the molecular characterization of
tomato seed allergens. In subsequent in
silico modeling, high homology between epitopes of known allergens from
walnut (89), cashew nut (90) and buckwheat (91) was found. Further proteomic analyses of plant proteomes were
performed to detect allergens in wheat flour (83), maize (92) and
sesame seeds (93).
By use of sophisticated quantitative proteomics technology, Chassaigne et al. (86) showed that genetically engineered peanut seeds contained
significantly reduced amount of main allergens. Genetically modified (GM)
tomato and soybean plants are approved for food use by the US Food and Drug
Administration. During the assessment procedure, the allergic properties of the
gene donor and the recipient organisms are considered in order to determinate
the appropriate testing strategy. The amino acid sequence of the encoded
protein was compared to all known allergens to assess whether the protein is a
known allergen (88) to indicate a
probability of allergic cross-reactivity and formation of neo-allergens.
Further risk of food allergenicity is the stability of the protein in acidic
environment in the presence of stomach protease pepsin had also to be tested.
These tests were followed by in vitro and
in vivo binding assays to human IgE,
and no adverse reactions were found (94).
However, some residual risk after long-term consumation of such food still
remains, and further studies regarding allergenic potential of GM plants were
performed. In subsequent proteomic study, GM versus non-modified soybean samples were compared, and 2 new
potential allergens were indeed identified. In a short-term study, none of the
individuals tested reacted differently to the GM versus non-modified samples (95).
After this study, a residual risk of allergies after long-term consumption of
GM crops still remains.
Food of animal origin, especially seafood and milk products can also
cause allergies. However, proteomics tools have only been sparingly applied in
the investigation of allergens in these products. It is well known that changes
in the main milk protein casein such as carbonylation (36) or forming of covalent complexes between casein micelles and β-lactoglobulin (96) and modification of other proteins (97) during the production process, mainly heating, can cause
induction of allergies to milk products, but a thorough proteomic and ‘allergenomic’
investigation has still to be performed. In their review about the use of
proteomics as a tool for the investigation of seafood and other marine
products, Piñeiro et al. (9) recommend the use of proteomics for
detection of allergens in food of this origin. However, there are still only
few studies in this field. Taka et al.
(98) characterized an allergenic
parvalbumin from frog by the use of LC-ESI-MS. The main crustacean allergens
are proteins tropomyosin and arginine kinase (99,100). Tropomyosin is a myofibrillar protein of 35-38 kDa, and
proteins from six species of crustaceans have also been cloned (101). Arginine kinase from some
commercially relevant shrimp species was characterized by use of proteomic
methods (102). Some additional shrimp
allergens such as sarcoplasmatic calcium binding protein (SCP) have also been
detected (103,104). Interestingly,
this protein was previously detected as allergen in crayfish Procambarus clarkii (105). This finding further confirms the
thesis of Bässler et al. (88) about shared epitopes in allergens
of different origin.
If not inactivated or degraded during processing, some food components
such as plant lectins constitute a possible risk, since consumption of raw or
incorrectly processed beans can cause outbreaks of gastroenteritis, nausea,
diarrhoea, and even more severe side reactions. Most plant lectins are
secretory proteins. After secretion, they accumulate either in vacuoles or in
the cell wall and intercellular spaces, mostly in seeds. Lectins such as
concanavalin A, phytohemagglutinin, pea lectin and flavin are present in quite
high levels and accumulate in vacuoles in cotyledons (106, 107). Most lectins show high specificity to distinct sugars,
but they also have an extensive homology in primary structure, also from
unrelated species. On the other hand, a plant species such as castor bean may
contain structurally related lectins with different toxicity. Castor bean
lectin ricin shows relatively weak agglutination, but very high toxicity for
humans and animals; Ricinus communis agglutinin
is weakly toxic, but a strong agglutinin (106).
Ricin and Phaseolus vulgaris lectin are two most common lectins that cause
food poisoning (106,108). In humans,
consumption of other raw beans can also cause gastroenteritis, nausea and
diarrhoea (109). On the other hand,
bean extracts enriched with in lectins or lectin-related amylase inhibitors are
used as active ingradients of so-called ‘weight-blockers’ in dietetic
preparations (110,111). Proteomic
strategies to quantitative analysis of potentially harmful lectins in raw and
processed food in dietary preparations include the use of chromatographic or
electrophoretic strategies combined with mass spectrometry (LC-MS/MS, MALDI-TOF
MS or MALDI-TOF/TOF MS). Affinity chromatography with immobilized glycoproteins
or oligosaccharides can be used for enrichment of lectins. Lectin-enriched
fraction can be further separated, e.g.
by cation-exchange chromatography, followed by tryptic digestion and protein
identification by mass spectrometry (106).
However, these methods are still complex, expensive and time consuming. After
detection of these potentially harmful components by proteomic methods,
specific, ‘food based’ protocols, e.g.
ELISA or other simple and fast protocols for their detection and quantitative
determination can be developed.
In order to increase muscle accretion and reduce fat deposition, cattle
are treated by anabolic steroids (112).
All biochemical events that are caused by steroid use are oriented towards
anabolic metabolism, resulting in a lower tyrosine aminotransferase as a marker
of catabolism and a higher muscle building (113).
Use of steroids can be detected by genomic or proteomic methods (114-116). In a study performed on
calves, differential expression of adenosin kinase and reticulocalbin in the
liver of calves treated with anabolic compound was found (116). It was also shown that metabonomics can be effectively used
to study the different disruptive metabolic response in cattle after the use of
anabolic steroids (10,112). Several
biomarkers such as trymethilamine-N-oxide,
dimethylamine, hippurate, creatine and creatinine were detected in urine of
cattle treated with anabolic steroids. These urinary biomarkers characterize
the biological fingerprint of anabolic treatment.
Pharmacological practices that are used to increase protein production in
livestock can be detected by metabonomic and proteomic techniques that can be
used as alternative techniques for screening analysis of veterinary drugs in
animal products (116,117). Long-time
and low-dose treatment administration of antibiotics, mainly tetracyclines, has
also been used as a growth promoter in livestock production. This use is banned
today in the European Union (118).
One of the main reasons is that systematic antibiotic use promotes the
development of resistant bacterial population (119). As already
discussed above, the use of proteomics to elucidate molecular mechanisms of
meat quality is well established (28).
Gratacós-Cubarsà et al. (120) demonstrated that after administration, tetracyclines are
rapidly degraded, but in the muscle of pigs treated with tetracyclines, several
differentially expressed proteins were detected. Five spots in 2D
electrophoresis that belong to differentially expressed proteins and candidate
biomarkers for tetracycline treatment were identified as enzymes involved in
muscle metabolism and two novel porcine proteins (120). Similar differences were also observed in composition of egg
proteins from treated and non-treated chicken (121).
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