Abstract
Celiac disease (CD) affects ~1 in 141 individuals in the United States, requiring adherence to a strict gluten-free diet. The Codex Standard and the European Commission states that gluten level of gluten-free foods must not exceed 20 ppm. The FDA requires food bearing the labeling claim “gluten-free” to contain <20 ppm gluten. Accurate quantitation of gluten in fermented-hydrolyzed foods by antibody-based methods is a challenge due to the lack of appropriate reference materials and variable proteolysis. The recent uses of proteases (e.g., proline endopeptidases or PEP) to hydrolyze immunopathogenic sequences of gluten proteins further complicates the quantitation of immunopathogenic gluten. The commercially available antibody-based methods routinely used to detect and quantitate gluten are not able to distinguish between different hydrolytic patterns arising from differences in fermentation processes. This is a severe limitation that makes accurate quantitation and, ultimately, a detailed evaluation of any potential health risk associated with consuming the food difficult. Utilizing gluten-specific antibodies, a recently developed multiplex-competitive ELISA along with western blot analysis provides a potential path forward in this direction. These complimentary antibody-based technologies provide insight into the extent of proteolysis resulting from various fermentation processes and have the potential to aid in the selection of appropriate hydrolytic calibration standards, leading to accurate gluten quantitation in fermented-hydrolyzed foods.
Keywords: gluten, fermentation, quantitation, competitive ELISA, hydrolysis, peptides
Introduction
Celiac disease (CD) is an immune mediated enteropathy triggered by the interaction of the prolamin and glutelin fractions of proteins from wheat, barley, and rye with the intestinal mucosa of sensitive individuals (1). Upon ingestion, proteases in the gastrointestinal tract degrade gluten proteins into peptides, which undergoes deamidation by transglutaminase. Subsequently, these peptides interact with human leukocyte antigen (HLA)-DQ2 or -DQ8 molecules evoking a T cell response, resulting in inflammation in the small intestine (2, 3). Gluten can be fractionated into alcohol soluble prolamins and the alcohol insoluble glutelins. The wheat prolamins, gliadins, are monomeric proteins with molecular weight ranging from 30 to 50 kDa and can be classified into α/β, γ, and ω-type. The wheat glutelins, glutenins, can be divided into high molecular weight (HMW) glutenins with molecular weights of 66–88 kDa, and low molecular weight (LMW) glutenins with molecular weights falling in the range of the gliadin proteins, ~32–45 kDa (4, 5). A typical feature of gluten T cell stimulating peptides is their high proline content. Proline constitutes 12–17% of gluten. The abundance of proline residues in gluten makes them highly resistant to complete proteolytic degradation in the human gastrointestinal track (6, 7).
Approximately 1 in 141 people in the US are affected by CD and adherence to a strict gluten-free diet is the only option to prevent inflammatory symptoms in sensitive individuals (8, 9). In 2013, the FDA issued a regulation defining and allowing the use of the term gluten-free for food that “does not contain an ingredient that is a gluten-containing grain (e.g., spelt wheat); an ingredient that is derived from a gluten-containing grain and that has not been processed to remove gluten (e.g., wheat flour); or an ingredient that is derived from a gluten-containing grain and that has been processed to remove gluten (e.g., wheat starch), if the use of that ingredient results in the presence of 20 parts per million (ppm) or more gluten in the food [i.e., 20 milligrams (mg) or more gluten per kilogram (kg) of food]; or inherently does not contain gluten; and that any unavoidable presence of gluten in the food is below 20 ppm gluten (i.e., below 20 mg gluten per kg of food).” It was further “recognized that some food matrices, such as fermented or hydrolyzed foods, may lack currently available scientifically valid methods that can be used to accurately determine if these foods contain ≥20 ppm gluten” (10). Recognizing the unique problems associated with the accurate detection and quantitation of gluten in fermented foods, a regulation regarding the use of gluten-free label for fermented, hydrolyzed, and distilled foods was proposedin 2015 (11).
Several qualitative and quantitative analytical methods are used for the detection and quantitation of gluten in foods. The strengths and limitations of each method have been summarized in Table 1 (12–15). Enzyme-linked immunosorbent assays (ELISAs) are currently the most popular method used to detect and quantitate gluten in foods. Most commercial ELISAs for gluten quantitation employ monoclonal antibodies such as Skerritt, R5 and G12. A polyclonal antibody against gluten proteins is also available from the Morinaga Institutes of Biological Sciences, Inc., (MIoBS). The Skerritt antibody was raised against wheat gliadin and has been shown to recognize the HMW glutenins (16–18). The R5 antibody was raised against rye secalin and strongly binds to the QQPFP, QQQFP, LQPFP, and QLPFP epitopes in α-/β-, ω-, and γ-gliadins (19, 20). The G12 antibody was produced against a synthetic 33-mer (LQLQPFPQPQLPYPQPQLPYPQPQLPYPQPQPF) of α2-gliadin, believed to invoke immunopathogenicity and the antibody recognizes the QPQLPY epitope of the peptide (21, 22). Recently, a novel monoclonal antibody that recognizes deamidated gliadin was generated by Pi Bioscientific Inc. (23, 24). Detection and quantitation of intact gluten has been routinely performed using sandwich ELISAs (16–19, 21, 25–29). There are questions related to accuracy of the results with respect to antibody specificity, extraction procedure, lack of suitable reference materials as well as of scientific data to support the underlying assumptions for calculating the gluten content, that has been extensively reviewed in several previous publications (9, 30–32).
Table 1.
Common gluten detection techniques | Strengths | Limitations |
---|---|---|
Sandwich ELISA | - Commercially available - Specific - Sensitive - Robust - Quantitative analysis of intact gluten is possible |
- Not suitable for quantitation of fermented-hydrolyzed gluten - Lack of certified reference materials limit the accuracy of the results |
Competitive ELISA | - Commercially available - Appropriate for fermented-hydrolyzed gluten |
- Usually less sensitive and robust compared to sandwich ELISA - Appropriate calibrant is needed for accurate analysis results |
Immunosensors/ Dipsticks/Lateral flow devices (LFDs) | - User friendly - Rapid analysis - Useful for on-site analysis - Commercially available |
- Usually qualitative or semi-quantitative |
Western blots | - Separates and detects gluten proteins according to their size - Can be used as a confirmatory technique for ELISA |
- Less sensitive compared to ELISAs - Not commercially available - Requires expertise - Usually qualitative/semi-quantitative |
Mass spectrometry | - Highly sensitive - Can directly detect proteins/peptides that are not detected by immunological techniques - Quantitative analysis is possible |
- Expensive equipments - Requires expertise - Similar to the ELISAs need certified reference materials for accurate quantitation - Depends on publicly available databases of wheat and barley proteins, which in most cases are incomplete or are poorly curated |
DNA-based methods | - Stable analyte - DNA is more efficiently extracted compared to proteins - Can be used as a highly sensitive screening method for the presence of gluten containing cereals - Quantitative analysis is possible using quantitative real-time PCR (Q-PCR) |
- Unsuitable for highly processed or fermented-hydrolyzed foods |
Aptamer-based assays | - New generation methods - Highly sensitive |
- Extensive validation studies are lacking in different food matrices |
The reliable detection and accurate quantitation of gluten in fermented-hydrolyzed foods is another challenge that warrant further discussion. This review will discuss the challenges involved in the detection and quantitation of fermented-hydrolyzed gluten by antibody-based methods and a potential path forward in overcoming the challenges. Although significant progresses have been made by using mass spectrometry-based methods in this direction, this review will only discuss mass spectrometry-based methods briefly and will particularly focus on antibody-based methods.
Different Fermentation Processes and Gluten Protein/Peptide Profile Differences
Cereal-based fermented-hydrolyzed foods can be classified into different categories depending on the grain source, type of fermenting organism, and differences in the fermentation process. Wheat, rye and barley are commonly used in fermented-hydrolyzed foods such as beers, soy sauces, vinegars, and sourdough breads.
Beers
Beer is the most widely consumed alcoholic beverage made from celiac-toxic cereals, mainly barley, and wheat. During mashing, malting, and fermentation, the gluten is proteolyzed by enzymes, resulting in the formation of peptides. Gluten-derived peptides tend to remain in the final beer product and often contain immunopathogenic sequences (33). Studies have detected peptide fragments from the putative immunotoxic 33-mer of α2-gliadin in several wheat and barley beers produced by different manufacturing processes, indicating the resistance of this peptide to proteolytic cleavage during the production of beers (17, 34, 35). The susceptibility of different gluten proteins to proteolysis during fermentation varies, thereby generating a very diverse range of peptides. A study by Colgrave et al. (36), indicated that B-hordein and D-hordein are more susceptible to hydrolysis compared to γ-3 hordeins. In recent years, several mass spectrometry studies have detected and characterized gluten proteins/peptides in both wheat and barley beers (17, 34–43).
Soy Sauces
Soy sauces are popular fermented foods that are commonly used to impart flavor. Soy sauce is produced in a two-stage fermentation process of soybean and wheat. First, koji (a mold-covered mixture of soybeans and wheat) is generated, which is mixed with salt water to form moromi. The moromi is allowed to age for several months, during which fermentation is catalyzed by lactic acid bacteria and yeast (44). Several studies have indicated the absence of any gluten-derived peptides in soy-based sauces using ELISAs or serum IgE binding studies (45–47), which is consistent with the extensive proteolysis that occurs during soy sauce fermentation. Although soy sauces produced by classical fermentation may lack the presence of gluten derived proteins/peptides, any changes to the fermentation process, or ingredients used may alter the extent and type of proteolysis and, possibly, the immunopathogenicity. A study by Hefle et al. (48) indicated that some soy sauces contained 10–30% residual activity by means of RAST inhibition assays using sera from soy-allergic subjects (48). A recent western blot study indicated the presence of gluten-derived proteins/peptides in several soy-based sauces. Intact gluten was detected in a teriyaki sauce and gluten-derived peptides were detected in one soy sauce and two Worcestershire sauces. The exact quantity of gluten in these products could not be ascertained from the immunoblot data; however, the detection of gluten-derived proteinaceous materials in these products indicate the potential for immunopathgenicity (49).
Vinegars
Malt vinegars are produced by fermentation of cereals containing gluten, mostly barley and wheat. Vinegars made from distilled ethanol, are generally produced from non-gluten-containing raw material such as corn, beet, or sugar cane, but in some cases also gluten-containing cereals. The raw materials are typically processed in a manner that avoids the presence of any non-volatile compounds (e.g., gluten) from the finished product. However, exceptions to this occur when the distillation process is poorly performed. Thus, it is not uncommon to observe gluten peptides in some vinegars (44). Gluten peptides have been detected in vinegars both in western blot as well as mass spectrometry studies (43, 49, 50). Further, immunopathogenic epitopes in the HMW glutenin peptides derived from a malt vinegar have been reported. However, it is unclear whether the amount of glutenin present is sufficient to pose a health risk for celiac patients (50).
Sourdough Breads
Sourdough is a mixture of flour (usually wheat and/or rye), water, and other ingredients that are fermented by naturally occurring lactic acid bacteria and yeasts. The potential of sourdough lactic acid bacteria as a source of proteolytic enzymes has also been investigated recently. Although primary proteolysis during sourdough fermentation is exerted by wheat or rye endogenous enzymes that are activated by the low pH, studies have shown that certain strains of lactic acid bacteria used in sourdough fermentation can produce peptidases that can proteolytically cleave the gliadin fraction of wheat gluten under certain conditions (51–54). However, as was observed in the production of beers, the glutenin fraction of gluten has been shown to be more resistant to microbial proteolysis, so sourdough breads can still pose a potential health risk for those with celiac disease (53, 54). Further, a study has shown that lactic acid fermentation of wheat flour does not degrade gluten sufficiently enough to decrease available transglutaminase 2 binding sites on α2-gliadin and, therefore, doesn't prevent the interaction of enzyme transglutaminase 2 with gluten, indicating another source of potential immunopathogenicity (55).
Protein/Peptide Profile Differences
Quantitation of gluten in fermented-hydrolyzed foods poses a challenge due to lack of methods that can recognize the highly variable proteolytic peptide patterns that vary between fermentation processes, as well as due to the lack of suitable hydrolytic calibrants. This is further complicated by the lack of clinical information correlating peptide content with biological activity. Further, it is unknown how to interpret the immunopathogenicity based on the amount or profile of gluten protein/peptides being detected in several different fermented-hydrolyzed foods. The regulatory threshold of 20 ppm intact gluten was based on studies examining the immunopathogenicity of intact gluten. Whether the biological activity is the same for gluten peptides that are produced during fermentation is unknown (29, 56–59).
The protein/peptide profile generated during the fermentation of different foods is dependent on numerous parameters. These include the ingredients used, time, temperature, and fermenting organisms. A slight change in these parameters can lead to wide variations in the protein/peptide profile. As such, it is impossible to generalize the profile for the different fermentation processes. The protein/peptide profiles of different fermented foods were examined using a recently developed multiplex-competitive ELISA. The ELISA utilized HRP (Horseradish peroxidase)-conjugated gluten specific antibodies (G12, R5, 2D4, MIoBS, and Skerritt) from nine gluten ELISA test kits. The antibodies were utilized in a competitive ELISA format by multiplexing the nine gluten specific antibodies into a single assay plate as described previously (56). Figure 1 shows the apparent gluten concentration values obtained for six different fermented-hydrolyzed food categories using the multiplex-competitive ELISA. Included in the analysis were barley beers, wheat beers, a model sorghum beer brewed with 200 ppm gluten (added prior to fermentation) and brewed in the presence and absence of a PEP (Brewers Clarex), sourdough breads, soy-based sauces (soy sauces, teriyaki sauces, and Worcestershire sauces), and vinegars. Since, the antibodies used in the multiplex-competitive ELISA displays different specificities (gliadin, glutenin, and deamidated gliadin), the profiles reflect the antigenic differences arising due to the different manufacturing processes. As illustrated in Figure 1, the protein/peptide profile as recognized by the different gluten specific antibodies varied among the different categories of fermented-hydrolyzed foods. For example, comparing the wheat and the barley beers, the apparent gluten concentration values of the wheat beers using all the nine antibodies were higher than the barley beers. Higher gluten content has been observed in wheat beers compared to barley beers in several previous studies (35, 38, 41, 60, 61). Further, by western blot, higher level of immunoreactive peptides have been identified in wheat beers compared to barley beers (35). Another interesting difference that was observed between the profiles of the wheat beers and the barley beers, using the multiplex-competitive ELISA, was the higher apparent gluten concentration values using the two G12 antibodies (a and b) in wheat beers compared to barley beers. This observation is consistent with a previous study, which showed high level of 33-mer equivalent peptides (specifically recognized by the G12 antibodies) in wheat beers compared to the barley beers (34). Further, the wheat beers, the model sorghum beers brewed with 200 ppm gluten, and the sourdough breads resulted in a comparatively high apparent gluten concentration by the Skerritt antibody (i and j), indicating the possible abundance of glutenin proteinaceous materials. However, this was not the case with the soy-based sauces and vinegars, which instead resulted in comparatively high apparent gluten concentration values with both the Neogen antibodies (e and f) and the Microbiologique gluten antibody (g), indicating a relatively higher abundance of gliadin, and deamidated gliadin. These results indicate that protein/peptide profile differences exist among various fermentation processes. Further, the recognition of the protein/peptide profile differences, as achieved by the multiplex-competitive ELISA, is not possible if a single gluten-specific antibody is used in an assay for the detection of gluten, which is usually the case with the commercially available ELISA kits. This limits the utility of the commercial ELISAs in accurately quantitating gluten in several different types of fermented-hydrolyzed foods. The recognition of the differences in the proteolytic patterns among the different fermentation processes by a gluten detection assay is essential for the selection of appropriate calibration standards of comparable digestion and similar peptide composition, leading to accurate quantitation of gluten in different categories of fermented-hydrolyzed foods.
Proline Endopeptidases (PEP) to Reduce Immunopathogenic Gluten Content
Several proteases [PEP derived from Aspergillus niger (AN-PEP), Sphingomonas capsulate, EP-B2 (cysteine endoprotease from germinating barley), ALV003 (mixture of cysteine endoprotease and PEP), and Pseudolysin (lasB)] have been recently used to enzymatically hydrolyze gluten proteins in an attempt to prevent proliferative responses in gluten specific T cells (58, 62–70). The Aspergillus niger derived PEP (AN-PEP) and the ALV003 have been evaluated in clinical trials for their effectiveness in mitigating gluten-induced immune responses in celiac patients (71, 72). PEP is a serine protease which proteolyzes the peptide bonds at the carboxyl end of prolines. The use of AN-PEP in hydrolyzing gluten present in wheat starch, wheat bran, and a non-alcoholic cereal-based beverage has been reported (73, 74). In the manufacture of beer, AN-PEP, commercially available as Brewers Clarex, has been frequently used to prevent chill-haze formation that involves hydrophobic interaction of polyphenols with proline-rich proteins in beer. This enzyme has an optimum pH around 4.5, making it suitable for use during fermentation to brew beer (75). There are several conflicting reports on the ability of AN-PEP to sufficiently proteolyze gluten and eliminate any immunopathogenicity. A study by Guardum and Bamforth indicated that addition of PEP during brewing process reduced the prolamin contents of beers (76). A mass spectrometric study also reported that AN-PEP was effective in eliminating all known immunopathogenic gluten epitopes during beer production (77). However, not all potentially immunopathogenic sequences were monitored in the study. A third study indicated that PEP could destroy gluten T-cell epitopes (64). In contrast, several recent studies utilizing mass spectrometry, ELISA, and western blot analysis indicated that PEP didn't completely degrade all gluten proteins and gluten proteins/peptides remain in the final beer produced by addition of PEP. Specifically, the HMW glutenin were resistant to the action of PEP during beer production (17, 39, 78). In addition, beer treated with PEP has been shown to cause a humoral response toward IgA or IgG antibodies, derived from the sera of 3 celiac disease-active patients, but there was no response from normal control subjects (n = 31, control group: n = 29), indicating that beers treated with PEP are still immunogenic (79). In another mass spectrometry study, gluten peptides that contained sequences associated with celiac disease were detected in a model wheat containing sorghum beer brewed in the presence of PEP. Included among the peptides detected were the LQLQPFPQPQLPY peptide, which is the beginning of the immunopathogenic 33-mer, and hydrolyzed HMW glutenin peptides containing immunogenic sequences (39).
We analyzed six different commercial gluten-reduced beers (brewed in the presence of PEP to reduce their gluten content) using the multiplex-competitive ELISA and western blots (49, 56). The apparent gluten concentration measured by the multiplex competitive ELISA was high for all the gluten-reduced beers with at least one gluten specific antibody (Figure 2A). Specifically, the Skerritt antibody and the two Neogen Varatox antibodies resulted in high apparent gluten concentrations with multiple gluten-reduced beers (Figure 2A). Although R5 antibodies from two other ELISA kits, RIDASCREEN gliadin (c) and RIDASCREEN gliadin competitive (d), were used in the multiplex-competitive ELISA, the apparent gluten concentration values with those antibodies were much lower compared to the Neogen Veratox R5 antibody (f). Differences in the sensitivity displayed by the same antibody derived from different test kits can be easily explained by differences in HRP conjugation resulting in higher catalytic activity. This leads to the question on a more complex issue of why differences in the performance of the same antibody in two different ELISA test kits arise. It could be due to differences in the handling of the antibody, such as in the coating of the microtiter plates and the chemistry associated with HRP conjugation altering the binding properties (affinity) toward the target analyte. More complex differences, that may alter the performance relative to defined calibration standards may arise from changes to the binding conditions, including the coating of the microtiter plates to block non-specific interactions. Lastly, all quantitative analyses are dependent on the calibration standards employed. In as much as there are no universally recognized gluten standards that are employed by all test kit manufacturers, it is possible that two kits employing identically prepared antibody reagents may differently calculate gluten content (9, 31, 80, 81).
In the western blot, 3 gluten-reduced beers, RA (Lane 5), RC (Lane 9), and RD (Lane 11), resulted in bands with the Veratox for Gliadin, cat # 8,480 detector antibody (Figure 2B). Bands at 17 kDa in beers RC (Lane 9) and RD (Lane 11) represent gluten-derived peptides, whereas binding observed to multiple protein bands at 10, 20, and 50–75 kDa in beer RA (Lane 2) indicate both intact gluten and gluten-derived peptides (Figure 2B). Beer RA is produced by a different manufacturer than beers RC and RD. Therefore, the differences in band pattern observed can be attributed to the differences in the manufacturing processes employed by the two companies. Nevertheless, gluten proteins/peptides remain in the final products, confirming the findings of previous mass spectrometry studies (36, 39). With the Skerritt antibody, beers RA (Lane 5) and RF (Lane 15) yielded multiple bands (20–150 kDa) both at higher and lower MW range (Figure 2B). Binding to Skerritt antibody indicates the presence of HMW glutenin (D Hordein) epitopes in gluten-reduced beers and again confirms the results of previous studies (17, 39, 78). The presence of HMW glutenin in gluten-reduced beers may not get accurately detected by gluten detection assays targeting only gliadin proteins. Further, studies have indicated that glutenin proteins can develop toxic response in celiac patients. Therefore, consumption of gluten-reduced beers may pose a potential concern for individuals with CD (17, 39, 82–84).
Commercially Available ELISA Methods Are Not Accurate for Fermented/Hydrolyzed Gluten
Table 2 lists the various commercial ELISAs that are routinely used for the detection and quantitation of gluten in foods. ELISAs in both sandwich and competitive format are available. Sandwich ELISAs require two epitopes and therefore cannot detect short peptides lacking two antibody binding sites. However, celiac disease requires only a single immunopathogenic element, thereby making it possible for sandwich ELISAs to miss toxic gluten-derived peptides in fermented-hydrolyzed foods (17, 29). In contrast, competitive ELISAs recognize a single epitope and may be more effective in detecting immunopathogenic peptides derived from gluten in fermented-hydrolyzed foods. Competitive ELISAs based on R5 (RIDASCREEN® Gliadin Competitive) and G12 (GlutenTox® Competitive) monoclonal antibodies are marketed for detection and quantitation of gluten in fermented-hydrolyzed foods.
Table 2.
ELISA kits | Manufacturer | Target | Capture | Detector | LODa | LOQa | Upper limita |
---|---|---|---|---|---|---|---|
AgraQuant ELISA Gluten G12 | Romer Labs | QPQLPY | G12 monoclonal | G12 monoclonal | 2 | 4 | 200 |
GlutenTox ELISA Competitive | Biomedal Diagnostics | QPQLPY | Gliadin | G12 monoclonal | – | 3 | 48 |
RIDASCREEN Gliadin Sandwich | R-Biopharm, AG | QQPFP, QQQFP, LQPFP, QLPFP | R5 monoclonal | R5 monoclonal | 3 | 5 | 80 |
RIDASCREEN Gliadin Competitive | R-Biopharm, AG | QQPFP, QQQFP, LQPFP, QLPFP | Gliadin | R5 monoclonal | 2.6 | 10 | 270 |
Veratox for Gliadin, 8480 | Neogen Corp. | Gluten | USDA monoclonalb | USDA monoclonalb | – | 5 | 50 |
Veratox for Gliadin R5 | Neogen Corp. | QQPFP, QQQFP, LQPFP, QLPFP | R5 monoclonal | R5 monoclonal | – | 5 | 80 |
AllergenControl TM Gluten Sandwich | Microbiologique Inc. | Gliadin | 2D4c | 2D4c | - | 2.5 | 80 |
Wheat Protein ELISA (MIoBS) | Morinaga Institute of Biological Sciences, Inc. | Gliadin | Polyclonal | Polyclonal | 0.24 | 0.25 | 16 |
AllerTek Gluten | ELISA Technologies, Inc. | HMWd glutenin | Skerritt monoclonal | Skerritt monoclonal | – | 5 | 80 |
GlutenTox ELISA Sandwich | Biomedal Diagnostics | QPQLPY | A1 monoclonal | A1 monoclonal | – | 0.6 | 10 |
Expressed as mg/kg (ppm) gluten.
Gluten specific monoclonal antibody developed and licensed by the U.S. Department of Agriculture (USDA).
Deamidated gliadin specific antibody.
HMW, High molecular weight.
The RIDASCREEN® R5 competitive ELISA utilizes a mixture of pepsin-trypsin digested prolamin fractions from wheat, rye, and barley as the calibrator for quantitation purposes. Though awarded First Action by the Association of Official Analytic Chemists Official Methods of Analysis (AOAC OMA) (59, 85), the validation of this method was based on the detection of the reference material spiked into various foods and the AOAC OMA specifically states that depending on the fermentation conditions and resulting proteolysis, the validation performed may not be scientifically valid. It is critical that the calibration standards reflect the peptides produced by the proteolysis and the appropriate amount of residual intact gluten. Further, to be representative of real-world samples, the analyte must be incurred prior to processing (86, 87).
In a mass spectrometry study, we evaluated the potential of the hydrolyzed wheat prolamin (HWP, used as a calibrant in the R5 competitive ELISA) as a calibrant for the detection of gluten in a model sorghum beer containing 200 mg/L added gluten, brewed with or without the addition of PEP (17). By mass spectrometry, 274 unique gluten peptides were detected in HWP. However, only 4 peptides were represented in the peptide profile of a 200 mg/L gluten containing beer brewed without PEP and 1 was represented in that of the PEP containing beer (Figure 3). These disparities in the peptide profiles between HWP and the beers reflects the unsuitability of HWP as a calibrant for accurate quantitation of gluten in these beers. Although specific types of beers were brewed in the study, variability in fermentation conditions (time, temperature, pH) would likely result in a peptide profile not compatible with using HWP as a calibrant for accurate gluten quantitation.
Another limitation of the R5 competitive ELISAs is the use of gliadin as the calibrant without the inclusion of the glutenin fraction of gluten. Though the gliadin fraction of gluten is mainly responsible for exacerbating celiac disease, glutenin proteins have also been shown to stimulate celiac small intestinal T cells and can induce a toxic response in patients (83, 84). In another study, Tye-Din et al. (82) identified gluten T-cell stimulatory peptides that resembled the HLA-DQ8-restricted epitope present in HMW glutenin (82). Studies have shown that peptides derived from HMW glutenins (known as D hordein in barley) are present in beers (17, 39). The presence of HMW glutenin-derived peptides have also been reported in sourdough breads and vinegars (50, 53, 54). Therefore, calibration standards based on gliadin proteins are likely not be suitable for accurate quantitation of gluten in fermented-hydrolyzed products.
A G12 antibody based competitive ELISA is also available for the detection of gluten. Although, the G12 antibody was raised against a prominent immunogenic gluten peptide, it may not recognize all known potential immunogenic-sequence-containing gluten peptides. This is complicated by the fact that not all immunogenic sequences associated with CD is known due to incomplete understanding of the pathogenesis of CD (21, 22, 88, 89). Studies have indicated that in fermented beverages such as beer, the reactivity of the G12 antibody to peptides correlates with potential celiac immunotoxicity. T cell epitopes in beer have been recognized with the highest affinity by the G12 antibody (34, 90). Further, the G12 antibody has been shown to be more efficient at immunocapturing the T-cell active peptides from a barley beer and a hydrolyzed gliadin from wheat compared to the R5 antibody (91). This indicates that the G12-based ELISA may be more suitable for the analysis of fermented-hydrolyzed gluten compared to the R5-based ELISA. However, no information is available on the calibrant used in the G12 competitive ELISA and validation studies have not been performed to establish the reliability of the = ELISA nor its ability to accurately quantitate gluten in fermented-hydrolyzed foods.
Recent Progress and a Potential Path Forward
Competitive ELISAs based on the G12 and R5 antibodies cannot distinguish between the protein/peptide profile pattern of different fermented foods, and while they target gliadins, they do not accurately detect glutenins, which also contain immunopathogenic sequences (17, 39, 83, 84). Mass spectrometry has the ability to differentiate the peptide profile differences among different fermentation processes (35, 36), thereby providing for a potential alternative to immunodiagnostic methods in developing suitable calibration standards for accurate quantitation of gluten in fermented-hydrolyzed foods. Semi-quantitation by mass spectrometry is possible by comparing mass areas measured from food samples against the appropriate calibration curve obtained by measuring mass areas of standard prolamin solutions (40). Recently, targeted approaches such as multiple reaction monitoring (MRM) mass spectrometry have been used for relative quantitation of gluten-derived tryptic peptides in fermented beverages such as beers (36, 92). In this method, multiple peptides are monitored per protein after trypsin digestion to compare the abundance of the original protein in different samples. MRM mass spectrometry combined with the use of synthetic peptide standards has been utilized for quantitation of six potentially immunopathogenic wheat gluten peptides in a range of native flours, processed products, sauces and beverages, including a light beer, and a vinegar (43). However, there are several limitations associated with using mass spectrometry as a quantitative method for routine analysis of gluten in fermented-hydrolyzed foods. A major limitation is dependence on identification of all the immunopathogenic sequences associated with celiac disease, however, such is not the case (88, 89). Further, similar to ELISA, accurate quantitation by mass spectrometry also requires suitable calibration standards, whereby the peptide content can be related to the regulatory threshold of 20 ppm intact gluten. Also, publicly available databases of plant protein sequences are incomplete, in particular for wheat and barley gluten proteins, further limiting the utility of mass spectrometry (36, 39).
Recognition of protein/peptide profile differences among different fermentation processes is the first step toward selection of appropriate calibration standards and, eventually, to the development of a method that can accurately quantitate gluten in fermented-hydrolyzed foods. Accurate quantitation requires that the calibration standard be identical to the protein/peptide profile of the fermented-hydrolyzed foods. This means encompassing all the gluten components (gliadin and glutenins, or any modifications resulting from fermentation, such as deamidated gliadin) present. A single calibration standard will not be suitable for all fermented-hydrolyzed foods. As such, any analytical method that is used to analyze multiple fermentation products must be able to distinguish between the different protein/peptide profiles so the appropriate calibrant can be selected to ensure accurate quantitation.
The novel multiplex-competitive ELISA included gluten specific antibodies from nine different commercial ELISA test kits. Utilizing antibodies that target different gluten epitopes, it was possible to distinguish between the protein/peptide characteristics of several different fermentation processes [Figure 1, (56)]. This assay simultaneously detects gliadin, deamidated gliadin and glutenin derived proteins, and peptides. Wheat gluten was used as a calibrant in the assay. Variability in the quantities and proportions of gluten proteins among wheat, rye, and barley cultivars exists and this makes the establishment of a universal standard or reference material problematic (93–96). Although reference materials comprised of both wheat gliadin and barley hordein have been proposed for gluten analysis, currently there is no certified reference material and moreover no suitable reference material is available for the detection of fermented-hydrolyzed gluten (9, 58, 97–100). Wheat gluten was chosen as a calibrant in order to avoid excluding any gluten protein fraction (gliadins or glutenins) from the analysis. Further, the material forms the regulatory basis for the analytical methods employed by the FDA (and several other governments) in assessing gluten content and potential health risk.
Using the multiplex-competitive ELISA, it was possible to distinguish between the wheat beers, barley beers, sourdough breads, and the soy-based sauces using cluster analysis. Of the 26 barley beers analyzed, 25 clustered separately from wheat beers and 24 clustered separately from sourdough breads. Only one barley beer clustered with the majority of soy-based sauces. It was also possible to distinguish samples with similar composition or processing within a particular category of fermented-hydrolyzed food by this method (e.g., some barley beers and gluten-reduced beers) (56). The various antibodies used in the multiplex-competitive ELISA may display different cross-reactivity patterns with wheat gluten, barley hordein, and rye secelin. However, these differences don't affect the utility of the multiplex-competitive ELISA. The classification of the peptide profiles is based on empirical observations and as such would appropriately group the fermented-hydrolyzed foods and accordingly enable the proper choice of reference materials that fit the empirical observation.
Western blot analysis utilizing the same gluten specific antibodies used in the multiplex-competitive ELISA confirmed the cluster analysis by the multiplex-competitive ELISA (49, 56). Although soy-based sauces showed non-specific false positive responses with the multiplex-competitive ELISA, it didn't affect the cluster pattern and the assay was still able to differentiate the soy-based sauces from other fermented-hydrolyzed foods. Indeed, the western blot analyses differentiated the false positive responses of soy-based sauces from the presence of antigenic proteinaceous materials. Figure 4 shows a constellation plot illustrating three different clusters that the barley beers, wheat beers and the sourdough bread generated when analyzed using the multiplex-competitive ELISA and western blot analyses, illustrating the ability of the assays to differentiate the protein/peptide profile characteristic of these three different fermented-hydrolyzed foods, which is essential for selection of appropriate calibration standard specific for each category of fermented-hydrolyzed foods required for accurate gluten quantitation.
It is obvious that further research is needed before accurate quantitation of gluten content in fermented-hydrolyzed foods can be achieved. The multiplex-competitive ELISA provides a first step by making it possible to determine the suitability of different hydrolysates as calibration standards for different fermentation-hydrolysis processes. This method also helps rule out false negative results. For examples, in Figure 2A, the apparent gluten concentration values of gluten-reduced beers with the two RIDASCREEN R5 antibodies and the two G12 antibodies were lower compared to the two Neogen Veratox antibodies and the Skerritt antibody. When the G12 or the RIDASCREEN R5 antibodies are used alone, the gluten content of the gluten-reduced beers may seem to be very low; however, the values are higher with both the Neogen Varatox antibodies and the Skerritt antibody, indicating that gluten components reactive to these antibodies are present at higher concentrations in these beers. Another potential utility of the multiplex-competitive ELISA especially with regulatory implications is in classification of an unknown fermented-hydrolyzed food sample into a particular category based on its overall apparent gluten concentration profile, subsequently allowing for the selection of an appropriate calibration standard required for accurate gluten analysis.
Conclusion
It is currently impossible to accurately quantitate gluten in fermented/hydrolyzed foods and assess its potential immunopathogenicity using antibody-based methods. This is complicated by the fact that no current commercial antibody-based assay targets all the components of gluten. Further complicating the quantitative analysis of hydrolyzed gluten is the lack of appropriate calibrants that reflect the protein/peptide profiles characteristic of the various forms of fermentation. It is therefore necessary to first distinguish between the protein/peptide profiles to ensure the use of appropriate calibration standards for accurate quantitation. Mass spectrometry has potential by virtue of its ability to directly detect the peptides and proteins; however, its use as a routine analytical method is still in its infancy. In the meantime, the multiplex-competitive ELISA along with the western blot analysis make it possible to distinguish between the different protein/peptide profiles resulting from different fermentation processes and, ultimately, select appropriate standards for calibration.
Author Contributions
EG oversaw the project. RP carried out the experiments, wrote the manuscript. All authors discussed the results and contributed to the final manuscript.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
- 1.Tonutti E, Bizzaro N. Diagnosis and classification of celiac disease and gluten sensitivity. Autoimmunity Rev. (2014). 13:472–6. 10.1016/j.autrev.2014.01.043 [DOI] [PubMed] [Google Scholar]
- 2.Lundin KEA, Scott H, Hansen T, Paulsen G, Halstensen TS, Fausa O, et al. Gliadin-specific, HLA-DQ (α1*0501, β1*0201) restricted T cells isolated from the small intenstinal mucosa of celiac disease patients. J Expr Med. (1993) 178:187–96. 10.1084/jem.178.1.187 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.van de Wal Y, Kooy Y, van Veelen P, Pena S, Mearin L, Papadopoulos G, et al. Cutting edge: selective deamidation by tissue transglutaminase strongly enhances gliadin-specific T cell reactivity. J Immunol. (1998) 161:1585–8. [PubMed] [Google Scholar]
- 4.Wieser H. Chemistry of gluten protein. Food Microbiol. (2007) 24:115–9. 10.1016/j.fm.2006.07.004 [DOI] [PubMed] [Google Scholar]
- 5.Vensel WH, Tanaka CK, Altenbach SB. Protein composition of wheat gluten polymer fractions determined by quantitative two-dimensional gel electrophoresis and tandem mass spectrometry. Proteome Sci. (2014) 12:8. 10.1186/1477-5956-12-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Wieser H, Seilmeier W, Belitz H. Comparative investigations of parital aminoacid sequences of prolamins and glutelins from cereals. Z Lebensm Unter Forsch. (1988) 187:27–34. 10.1007/BF01454319 [DOI] [PubMed] [Google Scholar]
- 7.Konning F. Celiac disease: qunatity metters. Semin Immunopathol. (2012) 34:541–9. 10.1007/s00281-012-0321-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Rubio-Tapia A, Ludvigsson JF, Brantner TL, Murraym JA, Everhart JE. The prevalence of celiac disease in the United States. Am J Gastroenterol. (2012) 107:1538–44. 10.1038/ajg.2012.219 [DOI] [PubMed] [Google Scholar]
- 9.Slot ID, van der Fels-Klerx HJ, Bremer MGEG, Hamer RJ. Immunochemical detection methods for gluten in food products: where do we go from here? Crit Rev Food Sci Nutr. (2016) 56:2455–66. 10.1080/10408398.2013.847817 [DOI] [PubMed] [Google Scholar]
- 10.FDA Food Labeling 21 CFR Part 101 [Docket No. FDA-2005-N-0404] RIN 0910-AG84. Federal Register 78. (150, Monday, August 5, 2013) 47154–47179. (2013). Available online at: http://www.gpo.gov/fdsys/pkg/FR-2013-08-05/pdf/2013-18813.pdf (accessed June 19, 2019).
- 11.FDA Food Labeling Gluten-Free Labeling of Fermented or Hydrolyzed Foods 21 CFR Part 101 [Docket No. FDA−2014–N−1021] RIN 0910–AH00. Federal Register 80 (222, Wednesday, November 18, 2015) 71990–72006 (2015). Available online at: https://www.gpo.gov/fdsys/pkg/FR-2015-11-18/pdf/2015-29292.pdf (accessed June 19, 2019).
- 12.Rosell CM, Barro F, Sousa C, Mena MC. Cereals for developing gluten-free profucts and analytical tools for gluten detection. J Cereal Sci. (2014) 59:354–64. 10.1016/j.jcs.2013.10.001 [DOI] [Google Scholar]
- 13.Scherf KA, Poms RE. Recent developments in analytical methods for tracing gluten. J Cereal Sci. (2016) 67:112–22. 10.1016/j.jcs.2015.08.006 [DOI] [Google Scholar]
- 14.Miranda-Castro R, de-los-Santos-Alvarez N, Miranda-Ordieres AJ, Lobo-Castanon MJ. Harnessing aptamers to overcome challenges in gluten detection. Biosensors. (2016) 6:16. 10.3390/bios6020016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Melini F, Melini V. Immunological methods in gluten risk analysis: a snapshot. Safety. (2018) 4:56 10.3390/safety4040056 [DOI] [Google Scholar]
- 16.Skerritt JH, Hill AS. Monoclonal antibody sandwich enzyme immunoassay for determination of gluten in foods. J Agric Food Chem. (1990) 38:1771–8. 10.1021/jf00098a029 [DOI] [Google Scholar]
- 17.Panda R, Fiedler KL, Cho CY, Cheng R, Stutts WL, Jackson LS, et al. Effects of a proline endopeptidase on the detection and quantitation of gluten by antibody-based methods during the fermentation of a model sorghum beer. J Agric Food Chem. (2015) 63:10525–35. 10.1021/acs.jafc.5b04205 [DOI] [PubMed] [Google Scholar]
- 18.Allred L, Ritter BW. Recognition of gliadin and glutenin fractions in four commercial gluten assays. J AOAC Int. (2010) 93:190–6. [PubMed] [Google Scholar]
- 19.Mendez E, Vela C, Immer U, Janssen FW. Reports of a collaborative trial to investigate the performance of the R5 enzyme linked immunoassay to determine gliadin in gluten-free food. Eur J Gastroentero Hepatol. (2005) 17:1053–63. 10.1097/00042737-200510000-00008 [DOI] [PubMed] [Google Scholar]
- 20.Kahlenberg F, Sanchez D, Lachmann I, Tuckova L, Tlaskalova H, Mendez E, et al. Monoclonal antibody R5 for detection of putatively coeliac-toxic gliadin peptides. Eur Food Res Technol. (2006) 222:78–82. 10.1007/s00217-005-0100-4 [DOI] [Google Scholar]
- 21.Moron B, Cebolla A, Manyani H, lvarez-Maqueda MA, Megías M, Thomas M, et al. Sensitive detection of cereal fractions that are toxic to celiac disease patients by using monoclonal antibodies to a main immunogenic wheat peptide. Am J Clin Nutr. (2008) 87:405–14. 10.1093/ajcn/87.2.405 [DOI] [PubMed] [Google Scholar]
- 22.Moron B, Bethune MT, Comino I, Manyani H, Ferragud M, Lopez MC, et al. Toward the assessment of food toxicity for celiac patients: characterization of monoclonal antibodies to a main immunogenic gluten peptide. PLoS ONE. (2008) 3:e2294. 10.1371/journal.pone.0002294 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Masiri J, Benoit L, Katepalli M, Meshgi M, Cox D, Nadala C, et al. Novel monoclonal antibody-based immunodiagnostic assay for rapid detection of deamidated gluten residues. J Agric Food Chem. (2016) 64:3678–87. 10.1021/acs.jafc.5b06085 [DOI] [PubMed] [Google Scholar]
- 24.Benoit L, Cox D, Katepalli M, Masiri J, Nadla C, Gendel S, et al. Development and Characterization of a Novel Monoclonal Antibody Directed Against Gluten. (2016). Available online at: https://iafp.confex.com/iafp/2016/webprogram/Paper11379.html (accessed June 19, 2019).
- 25.Akiyama HK, Isuzugawa N, Harikai H, Watanabe K, Iijima H, Yamakawa Y, et al. Inter-laboratory evaluation studies for development of notified ELISA methods for allergic substances (wheat). Shokuhin Eiseigaku Zasshi. (2004) 45:128–34. 10.3358/shokueishi.45.128 [DOI] [PubMed] [Google Scholar]
- 26.Matsuda RY, Yoshioka K, Akiyama K, Aburatani Y, Watanabe T, Matsumoto N. Interlaboratory evaluation of two enzyme-linked immunosorbent assay kits for the detection of egg, milk, wheat, buckwheat and peanut in foods. J AOAC Int. (2006) 89:1600–8. [PubMed] [Google Scholar]
- 27.Immer U, Haas-Lauterbach S. Gliadin as a measure of gluten in foods containing wheat, rye, and barley—enzyme immunoassay method based on a specific monoclonal antibody to the potentially celiac toxic amino acid prolamin sequences: collaborative study. J AOAC Int. (2012) 95:1118–24. 10.5740/jaoacint.CS2012_01 [DOI] [PubMed] [Google Scholar]
- 28.Halbmayr-Jech E, Hammer E, Fiedler R, Coutts J, Rogers A, Cornish M. Characterization of G12 sandwich ELISA, a next-generation immunoassay for gluten toxicity. J AOAC Int. (2012) 95:372–6. 10.5740/jaoacint.SGE_Halbmayr-Jech [DOI] [PubMed] [Google Scholar]
- 29.Panda R, Zoerb HF, Cho CY, Jackson LS, Garber EAE. Detection and quantification of gluten during the brewing and fermentation of beer using antibody-based technologies. J Food Prot. (2015) 78:1167–77. 10.4315/0362-028X.JFP-14-546 [DOI] [PubMed] [Google Scholar]
- 30.Haraszi R, Chassaigne H, Maquet A, Ulberth F. Analytical methods for detection of gluten in food-method developments in support of food labeling legislation. J AOAC Int. (2011) 94:10006–25. [PubMed] [Google Scholar]
- 31.Diaz-Amigo C, Popping B. Accuracy of ELISA detection methods for gluten and reference materials: a realistic assessment. J Aric Food Chem. (2013) 61:5681–8. 10.1021/jf3046736 [DOI] [PubMed] [Google Scholar]
- 32.Wieser H, Koehler P. Is the calculation of the gluten content by multiplying the prolamin content by a factor of 2 valid? Eur Food Res Technol. (2009) 229:9–13. 10.1007/s00217-009-1020-5 [DOI] [Google Scholar]
- 33.Bamforth C. Beer Tap Into the Art and Science of Brewing. Oxford: Oxford University Press; (2003). [Google Scholar]
- 34.Comino I, Real A, Moreno Mde L, Montes R, Cebollab A, Sousa C. Immunological determination of gliadin 33-mer equivalent peptides in beers as a specific and practical analytical method to assess safety for celiac patients. J Sci Food Agric. (2013) 93:933–43. 10.1002/jsfa.5830 [DOI] [PubMed] [Google Scholar]
- 35.Picariello G, Mamone G, Cutignano A, Fontana A, Zurlo L, Addeo F, et al. Proteomics, peptidomics, and immunogenic potential of wheat beer (weissbier). J Agric Food Chem. (2015) 63:3579–86. 10.1021/acs.jafc.5b00631 [DOI] [PubMed] [Google Scholar]
- 36.Colgrave ML, Goswami H, Blindell M, Howitt CA. Using mass spectrometry to detect hydrolysed gluten in beer that is responsible for false negatives by ELISA. J Chromatogr A. (2014) 1370:105–14. 10.1016/j.chroma.2014.10.033 [DOI] [PubMed] [Google Scholar]
- 37.Allred LK, Sealey-Voyksner JA, Voyksner RD. Evaluation of Qualitative and quantitative immunoassays to detect barley contamination in gluten-free beer with conformation using LC/MS/MS. J AOAC Int. (2014) 97:1615–25. 10.5740/jaoacint.14-058 [DOI] [PubMed] [Google Scholar]
- 38.Dostalek P, Hochel I, Mendez E, Hernando A, Gabrovska D. Immunochemical determination of gluten in malts and beers. Food Addit Contam. (2006) 23:1074–8. 10.1080/02652030600740637 [DOI] [PubMed] [Google Scholar]
- 39.Fiedler KL, Panda R, Croley TR. Analysis of gluten in a wheat-gluten-incurred sorghum beer brewed in the presence of proline endopeptidase by LC/MS/MS. Anal Chem. (2018) 90:2111–8. 10.1021/acs.analchem.7b04371 [DOI] [PubMed] [Google Scholar]
- 40.Ferranti P, Mamone G, Picariello G, Addeo F. Mass spectrometry analysis of gliadins in celiac disease. J Mass Spectrum. (2007) 4:1531–48. 10.1002/jms.1361 [DOI] [PubMed] [Google Scholar]
- 41.Kanerva P, Sontag-Strohm T, Lehtonen P. Determination of prolamins in beers by ELISA and SDS-PAGE. J Inst Brew. (2005) 111:61–4. 10.1002/j.2050-0416.2005.tb00649.x [DOI] [Google Scholar]
- 42.Picariello G, Mamone G, Nitride C, Addeo F, Camarca A, Vocca I, et al. Shotgun proteome analysis of beer and the immunogenic potential of beer polypeptides. J Proteomics. (2012) 75:5872–82. 10.1016/j.jprot.2012.07.038 [DOI] [PubMed] [Google Scholar]
- 43.Sealey-Voyksner JA, Khosla C, Vouksner RD, Jorgenson JW. Novel aspects of qunatiation of immunogenic wheat gluten peptides by liquid chormatography-mass spctrometry/mass spectrometry. J Chormatograp A. (2010) 1217:4167–83. 10.1016/j.chroma.2010.01.067 [DOI] [PubMed] [Google Scholar]
- 44.Hutkins RW. (ed.). Fermentation of foods in the Orient. In: Microbiology and Technology of Fermented Foods. Oxford: Blackwell Publishing Ltd; (2006). p. 419–55. [Google Scholar]
- 45.Kobayashi M, Hashimoto Y, Taniuchi S, Tanabe S. Degradation of wheat allergen in Japanese soy sauce. J Mol Med. (2004) 13:821–7. 10.3892/ijmm.13.6.821 [DOI] [PubMed] [Google Scholar]
- 46.Janssen FW, van Klinken F, Immer U, Gowein C. Analytical Research Reports. (2012). Available online at: https://glutenfree.files.wordpress.com/2012/04/safety-of-asian-soy-sauce-in-gf-diet-janssen-et-al.pdf (accessed June 19, 2019).
- 47.Cao W, Watson D, Bakke M, Bedford B, Panda R, Jackson LS, et al. Detection of gluten during the fermentation process to produce soy sauce. J Food Prot. (2017) 80:799–808. 10.4315/0362-028X.JFP-16-483 [DOI] [PubMed] [Google Scholar]
- 48.Hefle SL, Lambrecht DM, Nordlee JA. Soy sauce retains allergenicity through the fermentation/production process. J Allerg Clin Immunol. (2005) 115:S32 10.1016/j.jaci.2004.12.143 [DOI] [Google Scholar]
- 49.Panda R, Garber EAE. Western blot analysis of fermented-hydrolyzed foods utilizing gluten specific antibodies employed in a novel multiplex competitive ELISA. Anal Bioanal Chem. (2019). 10.1007/s00216-019-01893-0. [Epub ahead of print]. [DOI] [PubMed] [Google Scholar]
- 50.Li H, Byrne K, Galiamov R, Mendoza-porras O, Bose U, Howitt CA, Colgrave ML. Using LC-MS to examine the fermented food products vinegar and soy sauce for the presence of gluten. Food Chem. (2018) 254:302–8. 10.1016/j.foodchem.2018.02.023 [DOI] [PubMed] [Google Scholar]
- 51.De Angelis M, Rizzello CG, Fasano A, Clemente MG, Simone CD, Silano M, et al. VSL#3 probiotic preparation has the capacity to hydrolyze gliadin polypeptides responsible for celiac sprue. Biochemica Biophysica Acta. (2006) 1762:80–93. 10.1016/j.bbadis.2005.09.008 [DOI] [PubMed] [Google Scholar]
- 52.Gerez CL, Dallagnol A, Rollan G, de Valdez GF. A combination of two lactic acid bacteria improves the hydrolysis of gliadin during wheat dough fermentation. Food Microbiol. (2012) 32:427–30. 10.1016/j.fm.2012.06.007 [DOI] [PubMed] [Google Scholar]
- 53.Di Cagno R, De Angelis M, Lavermicocca P, De Vincenzi M, Giovannini C, Faccia M, et al. Proteolysis by sourdough lactic acid bacteria: effects on wheat flour protein fractions and gliadin peptides involved in human cereal intolerance. Appl Environ Microbiol. (2002) 68:623–33. 10.1128/AEM.68.2.623-633.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Di Cagno RD, De Angelis M, Auricchio S, Greco L, Clarke C, Vincenzi MD, et al. Sourdough bread made from wheat and nontoxic flour and started with selected Lactobacilli is tolerated in celiac sprue patients. Appl Environ Microbiol. (2004) 70:1088–96. 10.1128/AEM.70.2.1088-1096.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Engstrom N, Sandberg A, Scheers N. Sourdough fermentation of wheat flour doesn't prevent the interaction of Transglutaminase 2 with α2-gliadin or gluten. Nutrients. (2015) 7:2134–44. 10.3390/nu7042134 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Panda R, Boyer M, Garber EAE. A multiplex competitive ELISA for the detection and characterization of gluten in fermented-hydrolyzed foods. Anal Bioanl Chem. (2017) 409:6959–73. 10.1007/s00216-017-0677-z [DOI] [PubMed] [Google Scholar]
- 57.Knorr V, Wieser H, Koehler P. Production of gluten-free beer by peptidase treatment. EurFood Res Technol. (2016) 242:1129–40. 10.1007/s00217-015-2617-5 [DOI] [Google Scholar]
- 58.Tanner GJ, Colgrave ML, Howitt CA. Gluten, celiac disease, and gluten intolerance and the impact of gluten minimization treatments with prolylendopeptidase on the measurement of gluten in beer. J Am Soc Brew Chem. (2014) 72:36–50. 10.1094/ASBCJ-2014-0129-01 [DOI] [Google Scholar]
- 59.Lacorn M, Weiss T. Partially hydrolyzed gluten in fermented cereal-based products by R5 competitive ELISA: collaborative study, first action 2015.05. J AOAC Int. (2015) 98:1346–54. 10.5740/jaoacint.CS2015.15 [DOI] [PubMed] [Google Scholar]
- 60.Guerdrum LJ, Bamforth CW. Levels of gliadin in commercial beers. Food Chem. (2011) 129:1783–4. 10.1016/j.foodchem.2011.06.021 [DOI] [Google Scholar]
- 61.Tanner GJ, Colgrave ML, Blundell MJ, Goswami HP, Howitt CA. Measuring hordein (gluten) in beer-A comparison of ELISA and mass spectrometry. PLoS ONE. (2013) 8:e56452 10.1371/journal.pone.0056452 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Wieser H, Koehler P. Detoxification of gluten by means of enzymatic treatment. J AOAC Int. (2012) 95:356–63. 10.5740/jaoacint.SGE_Wieser [DOI] [PubMed] [Google Scholar]
- 63.Gass J, Vora H, Bethune MT, Gary GM, Khosla C. Effect of barley endoprotease EP-B2 on gluten digestion in the intact rat. J Pharmacool Exp Ther. (2006) 318:1178–86. 10.1124/jpet.106.104315 [DOI] [PubMed] [Google Scholar]
- 64.Stepniak D, Spaenij-Dekking L, Mitea C, Moesterm de Ru A, Baak-Pablo R, van Veelen P, et al. Highly efficient gluten degradation with a newly identified prolyl endoprotease: implications for celiac disease. Am J Physio Gastrointest Liver Physiol. (2006) 291:G621–9. 10.1152/ajpgi.00034.2006 [DOI] [PubMed] [Google Scholar]
- 65.Gass J, Bethune MT, Siegel M, Spencer A, Khosla C. Combination enzyme therapy for gastric digestion of dietary gluten in patients with celiac sprue. Gastroentrol. (2007) 133:472–80. 10.1053/j.gastro.2007.05.028 [DOI] [PubMed] [Google Scholar]
- 66.Mitea C, Havenaar R, Drijfhout JW, Edens L, Dekking L, Koning F. Efficient degradation of gluten by a prolyl endoprotease in a gastrointestinal model: implications for coeliac disease. Gut. (2008) 57:25–32. 10.1136/gut.2006.111609 [DOI] [PubMed] [Google Scholar]
- 67.Tye-Din JA, Anderson RP, Ffrench RA, Brown GJ, Hodsman P, Siegel M, et al. The effects of ALV003 pre-digestion of gluten on immune response and symptoms in celiac disease in vivo. Clin Immunol. (2010) 134:289–95. 10.1016/j.clim.2009.11.001 [DOI] [PubMed] [Google Scholar]
- 68.Toft-Hansen H, Rasmussen KS, Staal A, Roggen EL, Sollid LM, Lillevang TB, et al. Treatment of both native and deamidated gluten peptides with an endo-peptidase from Aspergillus niger prevents stimulation of gut-derived gluten-reactive T cells from either children or adults with celiac disease. Clin Immunol. (2014) 153:323–31. 10.1016/j.clim.2014.05.009 [DOI] [PubMed] [Google Scholar]
- 69.Montserrat V, Bruins MJ, Edens L, Koning F. Influence of dietary components on Aspergillus niger Prolyl endoprotease mediated gluten degradation. Food Chem. (2015) 174:440–5. 10.1016/j.foodchem.2014.11.053 [DOI] [PubMed] [Google Scholar]
- 70.Wei G, Tian N, Valery AC, Zhong Y, Schuppan D, Helmerhorst EJ. Identification of pseudolysin (lasB) as an aciduric gluten-degrading enzyme with high therapeutic potential for celiac disease. Am J Gastroentrol. (2015) 110:899–908. 10.1038/ajg.2015.97 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Tack GJ, van de water JMW, Bruins MJ, Kooy-Winkelaar EMC, van Bergen J, Bonnet P, et al. Consumption of gluten with gluten-degrading enzyme by celiac patients: a pilot study. World J Gastroenterol. (2013) 19:5837–47. 10.3748/wjg.v19.i35.5837 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Lahdeaho ML, Kaukinen K, Laurila K, Vuotikka P, Koivurova OP, Karja-Lahdensuu T. Glutenase ALV003 attenuates gluten-induced mucosal injury in patients with celiac disease. Gastroenterology. (2014) 146:1649–58. 10.1053/j.gastro.2014.02.031 [DOI] [PubMed] [Google Scholar]
- 73.Walter T, Wieser H, Koehler P. Production of gluten-free wheat starch by peptidase treatment. J Cereal Sci. (2014) 60:202–9. 10.1016/j.jcs.2014.02.012 [DOI] [Google Scholar]
- 74.Walter T, Wieser H, Koehler P. Degradation of gluten in wheat bran and bread drink by means of a proline-specific peptidase. J Nutr Food Sci. (2014) 4:1–6. 10.4172/2155-9600.1000293 [DOI] [Google Scholar]
- 75.Lopez M, Edens L. Effective prevention of chill-Haze in beer using an acid proline-specific endoprotease from Aspergillus niger. J Agric Food Chem. (2005) 53:7944–9. 10.1021/jf0506535 [DOI] [PubMed] [Google Scholar]
- 76.Guerdrum LJ, Bamforth CW. Prolamin levels through brewing and the impact of prolyl endoproteinase. J Am Soc Brew Chem. (2012) 70:35–8. 10.1094/ASBCJ-2012-0130-01 [DOI] [Google Scholar]
- 77.Akeroyd M, van Zandycke S, den Hartog J, Mutsaers J, Edens L, van den Berg M, et al. AN-PEP, proline-specific endopeptidase, degrades all known immunostimulatory gluten peptides in beer made from barley malt. J Am Soc Brew Chem. (2016) 74:91–9. 10.1094/ASBCJ-2016-2300-01 [DOI] [Google Scholar]
- 78.Colgrave ML, Byrne K, Howitt CA. Liquid chromatography-mass spectrometry analysis reveals hydrolyzed gluten in beers crafted to remove gluten. J Agric Food Chem. (2017) 65:9715–25. 10.1021/acs.jafc.7b03742 [DOI] [PubMed] [Google Scholar]
- 79.Allred LK, Lesko K, McKiernan D, Kupper C, Guandalini S. The celiac patient antibody response to conventional and gluten-removed beer. J AOAC Int. (2017) 100:485–91. 10.5740/jaoacint.16-0184 [DOI] [PubMed] [Google Scholar]
- 80.Diaz-Amigo C, Popping B. Gluten and gluten-free: issues and considerations of labeling regulations, detection methods, and assay validation. J AOAC Int. (2012) 95:337–48. 10.5740/jaoacint.SGE_Diaz-Amigo [DOI] [PubMed] [Google Scholar]
- 81.Rzychon M, Brohee M, Cordeiro F, Harazi R, Ulberth F, O'Connor G. The feasibility of harmonizing gluten ELISA measurement. Food Chem. (2017) 234:144–54. 10.1016/j.foodchem.2017.04.092 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Tye-Din JA, Stewart JA, Dromey JA, Beissbarth T, van Heel DA, Tatham A, et al. Comprehensive, quantitative mapping of T cell epitopes in gluten in celiac disease. Sci Transl Med. (2010) 2:41ra51. 10.1126/scitranslmed.3001012 [DOI] [PubMed] [Google Scholar]
- 83.Vader W, Kooy Y, van Veelen P, de Ru A, Harris D, Benckhuijsen W, et al. The gluten response in children with celiac disease is directed towards multiple gliadin and glutenin peptides. Gatroentrology. (2002) 122:1729–37. 10.1053/gast.2002.33606 [DOI] [PubMed] [Google Scholar]
- 84.Dewar DH, Amato M, Julie Ellis H, Pollock EM, Gonzalez-Cinca N, Wieser H, et al. The toxicity of high molecular weight glutenin subunits of wheat to patients with coeliac disease. Gastroenterol Hepatol. (2006) 18:483–91. 10.1097/00042737-200605000-00005 [DOI] [PubMed] [Google Scholar]
- 85.Koehler P, Schwalb T, Immer U, Lacorn M, Wehling P, Don C. AACCI approved methods technical committee report: collaborative study on immunochemical determination of partially hydrolyzed gluten using an R5 competitive ELISA. Cereal Foods World. (2013) 58:1–6. 10.1094/CFW-58-3-0402 [DOI] [Google Scholar]
- 86.Hefle SL, Koppelman S. (eds.). Conclusions. In: Detecting Allergen in Food. Boca Raton, FL: Wood head Publishing Limited; CRC Press LLC; (2006). p. 405–12. [Google Scholar]
- 87.Mattarozzi M, Careri M. The role of incurred materials in method development and validation to account for food processing effects in food allergen analysis. Anal Bioanl Chem. (2019) 10.1007/s00216-019-01642-3 . [Epub ahead of print]. [DOI] [PubMed] [Google Scholar]
- 88.Sollid LM, Qiao S. Nomenclature and listing of celiac disease relevant gluten T-cell epitopes restricted by HLA-DQ molecules. Immunogenetics. (2012) 64:455–60. 10.1007/s00251-012-0599-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.De Re V, Magris R, Cannizzaro R. New insight into the pathogenesis of Celiac disease. Front Med. (2017) 4:137 10.3389/fmed.2017.00137 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Real A, Comino I, de Lourdes Moreno M, Lopez-Casado MA, Lorite P, Torres MI, et al. Identification and in vitro reactivity of celiac immunoreactive peptides in an apparent gluten-free beer. PLoS ONE. (2014) 9:e100917 10.1371/journal.pone.0100917 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Moreno Mde L, Munoz-Suano A, Lopez-Casado MA, Torres MI, Sousa C, Cebolla A. Selective capture of most celiac immunogenic peptides from hydrolyzed gluten proteins. Food Chem. (2016) 205:36–42. 10.1016/j.foodchem.2016.02.066 [DOI] [PubMed] [Google Scholar]
- 92.Colgrave ML, Goswami H, Howitt CA, Tanner GJ. Wheat is in a beer? Proteomic characterization and relative quantification of hordein (gluten) in beer. J Proteome Res. (2012) 11:386–96. 10.1021/pr2008434 [DOI] [PubMed] [Google Scholar]
- 93.Prandi B, Mantovani P, Galaverna G, Sforza S. Genetic and environmental factors affecting pathogenicity of wheat as related to celiac disease. J Cereal Sci. (2014) 59:62–9. 10.1016/j.jcs.2013.10.006 [DOI] [Google Scholar]
- 94.Rallabhandi P, Sharma GM, Pereira M, Williams KM. Immunological characterization of the gluten fractions and their hydrolysates from wheat, rye and barley. J Agric Food Chem. (2015) 63:1852–32. 10.1021/jf505716p [DOI] [PubMed] [Google Scholar]
- 95.Pahlavan A, Sharma GM, Pereira M, Williams KM. Effects of grain species and cultivar, thermal processing and enzymatic hydrolysis on gluten quantitation. Food Chem. (2016) 208:264–71. 10.1016/j.foodchem.2016.03.092 [DOI] [PubMed] [Google Scholar]
- 96.Schalk K, Lexhaller B, Koehler P, Scherf KA. Isolation and characterization of gluten protein types from wheat, rye, barley and oats for use as reference materials. PLoS ONE. (2017) 12:e0172819. 10.1371/journal.pone.0172819 eCollection 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Huang X, Kanerva P, Salovaara H, Stoddard FL, Sontag-Strohm T. Proposal for C-Hordein as reference material in gluten quantification. J Aric Food Chem. (2017) 65:2155–61. 10.1021/acs.jafc.6b05061 [DOI] [PubMed] [Google Scholar]
- 98.Hajas L, Scherf KA, Torok K, Bugyi X, Schall E, Poms RE, et al. Variation in protein composition among wheat (Triticum aestivum L.) cultivars to identify cultivars suitable as reference material for wheat gluten analysis. Food Chem. (2018) 267:387–94. 10.1016/j.foodchem.2017.05.005 [DOI] [PubMed] [Google Scholar]
- 99.van Eckert R, Berghofer E, Ciclitira PJ, Chirdo F, Denery-Papini S, Ellis HJ, et al. Towards a new gliadin reference material-isolation and characterization. J Cereal Sci. (2006) 43:331–41. 10.1016/j.jcs.2005.12.009 [DOI] [Google Scholar]
- 100.Tanner GJ, Blundell MJ, Colgrave ML, Howitt CA. Quantification of hordeins by ELISA: the correct standard makes a magnitude of difference. PLoS ONE. (2013) 8:e56456. 10.1371/journal.pone.0056456 [DOI] [PMC free article] [PubMed] [Google Scholar]