Abstract
Ochratoxin A (OTA) is considered one of the main mycotoxins responsible for health problems and considerable economic losses in the feed industry. The aim was to study OTA’s detoxifying potential of commercial protease enzymes: (i) Ananas comosus bromelain cysteine-protease, (ii) bovine trypsin serine-protease and (iii) Bacillus subtilis neutral metalloendopeptidase. In silico studies were performed with reference ligands and T-2 toxin as control, and in vitro experiments. In silico study results showed that tested toxins interacted near the catalytic triad, similar to how the reference ligands behave in all tested proteases. Likewise, based on the proximity of the amino acids in the most stable poses, the chemical reaction mechanisms for the transformation of OTA were proposed. In vitro experiments showed that while bromelain reduced OTA’s concentration in 7.64% at pH 4.6; trypsin at 10.69% and the neutral metalloendopeptidase in 8.2%, 14.44%, 45.26% at pH 4.6, 5 and 7, respectively (p < 0.05). The less harmful α-ochratoxin was confirmed with trypsin and the metalloendopeptidase. This study is the first attempt to demonstrate that: (i) bromelain and trypsin can hydrolyse OTA in acidic pH conditions with low efficiency and (ii) the metalloendopeptidase was an effective OTA bio-detoxifier. This study confirmed α-ochratoxin as a final product of the enzymatic reactions in real-time practical information on OTA degradation rate, since in vitro experiments simulated the time that food spends in poultry intestines, as well as their natural pH and temperature conditions.
Keywords: α–ochratoxin, Ananas comosus bromelain cysteine-protease, Bacillus subtilis neutral metalloendopeptidase, biodetoxification, bovine trypsin serine-protease, degradability, enzymatic mycotoxin detoxification, mycotoxin detoxifier
1. Introduction
About 100,000 fungi species have been identified, and more than 500 mycotoxins with toxigenic effects have been recognised [1] as a real public health issue that silently, still impacts, particularly in developing countries [2,3]. Mycotoxins are secondary metabolites produced by filamentous fungi, mainly of the Aspergillus, Fusarium and Penicillium genera [4] and have been found to infect fruits, grains, and seeds in their growth, harvest, drying and storage stages [5]. Their chemical structure along with the frequency of occurrence and the severity of the disease they produce, determines their importance and toxicity [6]. Throughout the more toxic mycotoxins, aflatoxins, fumonisins, zearalenone, certain ergot alkaloids, trichothecenes and ochratoxins, represented mainly by ochratoxin A (OTA), among others, have been considered [7,8]. Maximum levels have been set in European Union legislation to control these mycotoxin levels in food and feed [9]. Therefore, the search for effective, environmentally friendly and specific mycotoxin detoxifying methods are in great demand [10].
The modern direction of mycotoxin decontamination techniques is towards using non-invasive methods, with high specificity, with harmless products and that is environmentally friendly [11,12]. In this context, the use of enzymes that naturally occur in food commodities, produced during fermentation, or purified, have been found to detoxify mycotoxins by combining chemical and biological processing characteristics, besides high performance and specialisation and avoid causing toxicity to organisms [8,13]. Enzymatic biotransformation can degrade mycotoxins into non- or less-toxic metabolites [14,15,16]. Regarding the enzyme and mycotoxin types, mycotoxin biotransformation can be carried out by hydroxylation, oxide-reduction, hydrogenation, de-epoxidation, methylation, glycosylation and glucuronidation, esterification, hydrolysis, sulfation, demethylation, deamination and miscellaneous other chemical reactions [11,17]. Although several physical, chemical and biological strategies have been proposed to reduce or eliminate their levels in food and feed [18,19], enzymatic biological transformation has been considered one of the most promising, yet challenging approaches to degrade mycotoxins and reduce their accumulation [20]. However, to date, only a few enzymes have been identified, purified and characterised for this purpose [16,17,19,21].
OTA is a potent nephrotoxic, teratogenic, carcinogenic and immunotoxic, amongst others [22], and consists of an isocoumarin linked by its 7-carboxy group to L-β-phenylalanine by an amide bond [23]. OTA’s enzymatic detoxification could be achieved by the hydrolysis of either, (i) the amide bond to generate α-ochratoxin, and L-phenylalanine by using an amido-hydrolase, or (ii) the lactone ring by using an ochratoxin-lactonase [17,20,24]. Since OTA’s amide bond is similar to a peptide one, it is vulnerable to the action of hydrolytic proteases [13]. Proteases are widely distributed in a diversity of microorganisms, plants and animals, and endopeptidases, and their preferential action at the peptide bonds in the inner regions of the polypeptide chain away from the N and C termini, have been mainly classified into groups, based on the presence of specific amino acid substituents at their active sites, namely cysteine, serine and metallopeptidases [25]. To date, a limited number of purified serine [26] and metal-dependent carboxypeptidases [26,27,28,29,30,31,32,33,34,35] and ochratoxinases [24] have been proven to biotransform OTA [4,17,36,37,38,39,40,41] and references therein. There is variability in their efficiency of hydrolysing OTA, when regarding the enzyme identity and experimental conditions [28].
Seeking practical options of purified proteases as mycotoxin detoxifiers, due to their low cost, wide availability, ease of extraction and high resistance, the aim of this research, was to study the bromelain from Ananas comosus (cysteine), the bovine trypsin (serine), and a neutral metalloendopeptidase from Bacillus subtilis (metal-dependent) with potential to detoxify OTA through biotransformation. While bromelain is easily obtained from the stem and juice of pineapples, and is considered a very resistant enzyme [25], it has never before been evaluated for its ability to hydrolyse OTA; bovine trypsin, has been considered one of the most important pancreatic animal proteases, and as a digestive enzyme, hydrolyses peptide bonds where lysine and arginine residues contribute carboxyl groups, its study in the hydrolysis of OTA has only been addressed once in vitro at basic pH and room temperature conditions, where no OTA hydrolysis was found [26]; the neutral metalloendopeptidases require metal ions for their activity, and although some metal-dependent enzymes as carboxypeptidases (exopeptidase), have been recognised for hydrolysing OTA, the one studied in this study is a metalloendopeptidase. Analyses were performed using both, in vitro and in silico approaches. Molecular docking is an “in silico” technique currently used for the discovery of new drugs and treatments, and is capable of predicting the behaviour of small molecules when interacting in the active site of a protein, and can be applied to solve unambiguous issues in enzymatic structures to determine the catalytic mechanism [42,43,44]; and within the study of enzymes as mycotoxin detoxifying agents, allows visualisation of what is happening at the molecular level, however, studies including molecular approaches are still scarce [17], and there are even fewer of those dealing with the ability to hydrolyse OTA [17,24]. Moreover, unlike most previous studies, in which the considered incubation time was too long, such as hours [30,32,45], days [28,31,33,34,35] and even weeks [29,46], in this study, in vitro experiments mimicked the estimated time in which the food travels through the intestine (1 h), as well as considering the intestinal acidic pH conditions (4.5–5), and the chick’s natural body temperature (41 °C). The hypotheses are: (i) since bromelain is a protein-digesting enzyme that attacks the internal peptide bonds of the protein chain [47,48] it might be able to hydrolyse OTA’s peptide bond and bio-transform OTA into α-ochratoxin [11,49]; (ii) given that trypsin is a serine hydrolase that cleaves ester, amide, and thioester bonds in small molecules, peptides and proteins [50], it might be able to hydrolyse both, T-2 toxin by bio transforming it to HT-2 and OTA by opening its lactone ring [11] and (iii) due to the fact that neutral metalloendopeptidase is a metalloenzyme that hydrolyses peptide bonds [51,52,53], it might be able to hydrolyse OTA’s peptide bond and to bio transform OTA into α-ochratoxin [11,49]. Further, given the nature of the catalytic reaction carried out by bromelain and the neutral metalloendopeptidase, the T-2 toxin was used as a negative control for docking studies, since the epoxide ring and the two ester groups found in T-2 are not able to be broken.
2. Results
2.1. Validation
Ramachandran models of our tested proteins, bromelain and neutral metalloendopeptidase did not show residues in the outlier region.
2.2. Blind and Directed Docking
Results of blind molecular docking showed that the studied enzymes did not contain allosteric regions or ligand binding sites outside of those reported in previous papers (Table 1). The substrate binding pocket and the active site were found to be the most stable sites for T-2 and OTA binding. T-2 and OTA toxins showed a similar affinity for the substrate binding pocket as those of the reference ligands. Regarding the directed molecular docking, most of the poses that toxins adopted in the enzymatic active site were similar to those adopted by the reference substrates.
Table 1.
ID | Name | 2D Structure | Reference |
---|---|---|---|
T-2 | T-2 toxin 4β,15-diacetoxy-3α-hydroxy-8α-(3-methylbutyryloxy)-12,13-epoxytrichotechec-9-ene,12,13-epoxytrichothec-9-ene-3,4,8,15-tetrol-4,15-diacetate-8-isovalerate |
[54] | |
OTA | Ochratoxin A N-[(3R)-(5-chloro-8-hydroxy-3-methyl-1-oxo-7-isochromanyl) carbonyl]-L-phenylalanine |
[23] | |
E64 | N-[N-[1-hydroxycarboxyethyl-carbonyl] leucylamino-butyl]-guanidine | [47] | |
MXH | 1-~{tert}-butyl-3-[1-[(2~{S})-3-(3-carbamimidoylphenyl)-2-[[3-[3-fluoranyl-4-(hydroxymethyl)phenyl]phenyl]sulfonylamino]propanoyl]piperidin-4-yl]urea | [55] | |
DB07673 | (2S)-2-Methyl-3-phenylpropanoic acid | [56] |
2.3. Multiple Sequence Alignment
Results showed that the three studied enzymes were distantly distributed and in different clusters, according to their genetic distance (Figure 1). The phylogenetic tree showed four main clusters, suggesting a different degradation mechanism of OTA. In the first one, the serine endopeptidases were grouped. The second cluster contained the serine-type carboxypeptidases. The third big cluster contained the metallocarboxypeptidases and bromelain, a cysteine endopeptidase, and although they had a different catalytic mechanism, they share 28% sequence homology. According to an exploratory analysis, structures mostly shared a similar orientation of alpha and beta sheets surrounding the active site (Figure 2). Further analysis must be performed to clarify these preliminary findings. The last cluster is only composed of the neutral metalloendopeptidase, highlighting its difference in form and catalytic mechanism of hydrolysing OTA.
2.4. Bromelain Cysteine Protease
2.4.1. T-2 toxin
The T-2 toxin showed a higher free binding energy (ΔG), and its affinity (Ki) for bromelain was approximately 5.44-fold lower than the reference ligand, indicating a higher affinity for the protein (E64; Table 2).
Table 2.
Protein | Ligand | Autodock Vina * 1.2.3 | Swiss Dock * | Autodock 4.2.6 | |
---|---|---|---|---|---|
Free Binding Energy (kcal/mol) | Free Binding Energy (kcal/mol) | Free Binding Energy (kcal/mol) | Ki (μM) | ||
Bromelain cysteine | T-2 | −6.06 | −8.14 | −5.45 | 101.78 |
OTA | −5.94 | −7.46 | −5.63 | 74.14 | |
E64 | −6.43 | −7.76 | −4.44 | 553.81 | |
Bovine trypsin | T-2 | −5.79 | −6.72 | −6.94 | 8.16 |
OTA | −7.75 | −7.72 | −7.52 | 2.82 | |
MXH | −8.32 | −8.21 | −10.25 | 0.03059 | |
Neutral metalloendopeptidase B | T-2 | −6.45 | −6.86 | −6.21 | 28.06 |
OTA | −7.57 | −8.56 | −5.94 | 44.05 | |
DB07673 | −5.23 | −9.35 | −3.82 | 1.59 |
* software analyses did not provide a calculated Ki value.
T-2 showed hydrogen bond (HB)-mediated interactions with amino acid residues of the ligand binding site (Table 3).
Table 3.
Protein | Ligand | Residues |
---|---|---|
Bromelain cysteine | T-2 | H Bond: Gln20, Cys26, Asn157. |
OTA | H Bond: Gln24, Cys26, Gly66. Aliphatic: Ala136. π-π T shaped: His158, Trp181. |
|
E64 | H Bond: Gln20, Cys26, His158, Gly66, Lys64. Aliphatic: Ala159, Ala133, Trp67. |
|
Bovine trypsin | T-2 | H bond: Ser195, His57, Gly193, Gly216, Gln192. Alkyl: Leu99 Van der Waals: Val213, Cys191, Ser190, Trp215, Cys42, Ser96, Tyr94, Ser2 |
OTA | H Bond: Gly219, Gly216, Ser214, Ser195, His57, Gly193 Amide-π: Trp215, Cys191 π -alkyl: Cys220 Van der Waals: Ser217, Gln192, Val213, Gly226, Ser190, Asp189, Leu99 |
|
MXH | H Bond: Asp189, Gly219, Gly216, Gln175. Aliphatic: Leu99 Amide-π: Cys191 Halogen: Asn97 Van der Waals: Thr98, Ser217, Ser195, Trp215, Val213, Ser190, Gly226, Cys220, Ser214, His57, Gln192. |
|
Neutral metalloendopeptidase B | T-2 | H Bond: His453, Gln377. Aliphatic: Ile366. π-σ: His369, His373. |
OTA | H Bond: Asn339, His453. Aliphatic: Ile340, Leu360, Ile366. |
|
DB07673 | Attractive charge: Arg425, His453, Zn ion. π-σ: Ala341. |
Although T-2 ester groups were located near the involved amino acids in the catalytic triad, given the nature of the catalytic reaction carried out by bromelain, the epoxide ring and the two ester groups found in T-2 are not going to be broken; instead, due to T-2′s high affinity (Ki = 101.78 µM) and binding probability to form a complex (ΔG = −5.45 kcal/mol) it could function as a possible competitive inhibitor (Figure 3).
2.4.2. OTA
OTA had, on average, more negative (ΔG) values when compared to T-2 and the reference ligand, showing that the binding is more spontaneous towards the bromelain binding site among all the evaluated ligands (Table 2). OTA had approximately 1.3-fold higher affinity when compared to the reference ligand than the T-2 toxin. OTA’s interactions with the bromelain binding site are mediated by a hydrogen bond (HB), aliphatic, and π-π T-shaped interactions with bromelain residues (Table 3). OTA’s amide group is oriented towards bromelain’s residues involved in the catalytic activity, Cys27, Gln20, His158 and Asn179 (Figure 4).
According to docking studies, the inactivation mechanism in OTA by bromelain triggers the catalytic action of Cys26 that attacks the carbonyl of the amide group in OTA, resulting in α-ochratoxin and β-phenylalanine as the final products (Figure 5).
Molecular dynamics showed that the bromelain-OTA complex maintained stable interactions (Table 4) within the active site until 50 (ns) when the complex started to dissociate. After 50 (ns), H-bond interactions started to diminish. The complex dissociated at 57 (ns) and OTA unbound from the enzyme (Figure 6).
Table 4.
Protein | Pose (ns) | Residues |
---|---|---|
Bromelain-OTA | 0 | H Bond: Gly65, Ser24, Cis25. π -alkyl: His158, Trp181, Ala132. Amide-π: Phe66, Asn157, Leu156. |
51 | H Bond: Gly65, Trp26, Ala159. π -alkyl: Ala132, Leu156. Van der Waals: Gly65, Phe66, His158. |
|
53 | Amide-π: Phe66. π -alkyl: Ala132. Van der Waals: Ser136, Asn157, His158, Ala159, Leu156, Ser155. |
|
100 | π- π: Tyr86. Van der Waals: Ser99, Ala97, Asn98, Asp85. |
|
Bovine trypsin-T2 | 0 | H bond: Gln192, GGly216, Ser195, Hys57, Gly193. π -alkyl: Hys57. Alkyl: Leu99. Van der Waals: Gly219, His220, Val227, Ser190, Cys191, Val213, Ser214, Cys42, Phe41, Ser96, Tyr94. |
29 | H bond: Lys60, Gln192. π -anion: Tyr39. Van der Waals: Hys57, Cys58, Phe41, Gly142, Gly193, Tyr151. |
|
63 | H bond: Tyr39. Van der Waals: Lys60, Phe41, Ser37, Gly38. |
|
Bovine trypsin-OTA | 0 | H bond: Gly175, His40, Ser192, Gly194, Gly196. π -alkyl: Cys197. Amide-π: Trp193, Cys173. Van der Waals: Ser172, Val191, Val205, Gly204, Asp171, Asp176, Ser177, Leu81. |
29 | H Bond: Gly175. Amide-π: Gly194, Ser195. Van der Waals: Asp176, Trp193, Cys173, Ser172, Gly196, Tyr22, Ser177, His40, His23, Cys41. π -cation: Phe24. π -sulphur: Cys197. Halogen: Cys25. |
|
78 | H Bond: Gln174, Tyr131, Ser177. π -sulphur: Cys197. Van der Waals: Gly175, Trp193, Ser192, Gly194, Cys173, Phe24, Cys25, Cys41, His40. |
|
90 | H Bond: Gly175. π-σ: Trp193. Alkyl: Cys25. Van der Waals: Ser195, Tyr131, Phe24, His40. |
|
91 | H Bond: His40 Van der Waals: Tyr131, Ser195, Trp193, Ser177, Gly175, Cys41, Cys25. π- donor hydrogen bond: Gln174. π-alkyl: Phe24. |
|
Neutral metalloendopeptidase B-OTA | 0 | H Bond: Gln152, Leu157, Asn167, His148, Tyr159. Van der Waals: Asn118, Gly156, Gly119, Ala116, Glu155, Leu158, Trp 117, Tyr224. |
16 | H Bond: Tyr159, Asn118. π- π: His148. Van der Waals: Gly119, Trp117, Glu168, Gly152, Asn167. |
|
32 | H Bond: Asn114. π- π: Trp112. Alkyl: Val123, Val108. π-alkyl: Ala116. Van der Waals: Gly109, Gly1125, Tyr124, Ala115, Trp117, Asn118. |
|
100 | π-alkyl: Val101, Val123. Van der Waals: Asn114, Ala116, Ala115, Tyr124, Gly125, Trp112, Trp117, Asn118. |
Moreover, in vitro differences between groups were found (ANOVA p ≤ 0.0001; F = 16.87). Sidak’s multiple comparisons tests showed that bromelain reduced OTA concentration by 7.64 (%) at pH 4.6 (p ≤ 0.0001; t = 6.496; DF = 12; Figure 7). However, although the OTA ion was detected (404.08 m/z) the final product, α-ochratoxin, suggested in docking was not detected in chromatograms (212.85 m/z; Figure 8).
2.5. Bovine Trypsin Serine Protease
2.5.1. T-2 Toxin
MXH reference ligand showed a higher free binding energy (ΔG) compared to T-2, and its affinity (Ki) for trypsin was approximately 272-fold lower, indicating a higher affinity for the reference ligand (MXH; Table 2). T-2 toxin interactions are due to hydrogen bonds (HB), alkyl, and Van der Waals with trypsin residues (Table 3). T-2 is oriented towards trypsin’s residues involved in the catalytic activity, Asp102, His57 and Ser195 (Figure 9).
According to the docking studies, the inactivation mechanism in T-2 by trypsin triggers the catalytic action of Ser195 that attacks the carbonyl of the ester group in OTA, resulting in α-ochratoxin and β—phenylalanine as the final products (Figure 10).
Molecular dynamics showed that the trypsin–T2 complex maintained stable interactions (Table 4) within the active site until 60 (ns), when the complex started to dissociate. After this time, H-bond and Van der-Waals interactions diminish. The complex dissociated at 63 (ns) and T-2 unbound from the enzyme (Figure 11).
In vitro experiments testing trypsin’s capacity to hydrolyse T-2 toxin, showed no significant changes when comparing experimental samples at different pH conditions (ANOVA p = 0.07; F = 2.748; Figure 12); however, Sidak’s multiple comparisons found that the average percentage of the three repetitions at pH 4.6 had a significant decrease in T-2 concentration in 10.68% (p = 0.04; t = 2.86; DF = 12). Further, when HPLC–TOF–MS chromatograms were analysed, Both, T-2 and HT-2 corresponding ions were present, 484.25 (m/z) and 442.24 (m/z), for T-2 and HT-2, respectively (Figure 13). Since this study is mainly related to OTA hydrolysis, the related T-2 hydrolysis by trypsin is not discussed, due to the marginal results obtained in this study, further suggesting that extensive studies are required in this regard.
2.5.2. OTA
MXH reference ligand showed a higher free binding energy (ΔG) compared to OTA, and its affinity (Ki) for trypsin was approximately 94-fold lower, indicating a higher affinity for the reference ligand (MXH; Table 2). OTA molecular interactions are mediated by hydrogen bonds (HB), amide π, and Van der Waals interactions with trypsin residues (Table 3). OTA’s amide group is oriented towards trypsin’s residues involved in the catalytic activity, Ser195, His57 and Asp102 (Figure 14).
According to docking studies, the inactivation mechanism in OTA by trypsin triggers the catalytic action of Ser195 that attacks the carbonyl of the amide group in OTA, resulting in α-ochratoxin and β—phenylalanine as the final products (Figure 15).
Molecular dynamics showed that the trypsin–OTA complex maintained stable interactions throughout the 100 (ns; Table 4), despite that OTA had movement on its own axis, it always remained near trypsin’s active site and the complex never dissociated (Figure 16).
Moreover, in vitro differences between groups were found (ANOVA p ≤ 0.0001; F = 1.51). Sidak’s multiple comparisons tests showed that bromelain reduced OTA concentration by 10.69 (%) at pH 4.6 (p ≤ 0.0001; t = 8.88; DF = 12; Figure 17). The final product was identified unequivocally as α-ochratoxin (Figure 18).
2.6. Neutral Metalloendopeptidase
2.6.1. T-2 Toxin
T-2 toxin showed a similar free binding energy (ΔG) compared to those of the reference ligand (DB0763; Table 2). However, its affinity (Ki) for neutral metalloendopeptidase was approximately 17-fold higher than the reference ligand, indicating a very low affinity for the protein. T-2 showed hydrogen bond (HB), aliphatic and π–σ–mediated interactions with amino acid residues of the ligand binding site (Table 3). Although T-2 ester groups were located near the involved amino acids in the catalytic triad, given the nature of the catalytic reaction carried out by neutral metalloendopeptidase, the epoxide ring and the two ester groups found in T-2 are not going to be broken. Instead, it could function as a possible competitive inhibitor (Figure 19).
2.6.2. OTA
OTA’s most negative value (ΔG) value was -8.56, which is very similar to that of the reference ligand (DB07673) when both were calculated by Swiss Dock, which is considered the most precise software when metallic ions are present (Table 2). Reference ligand showed 27.7-fold higher affinity (Ki) when compared to OTA and neutral metalloendopeptidase.
OTA’s interactions with neutral metalloendopeptidase binding site residues are mediated by a hydrogen bond (HB) and aliphatic interactions (Table 3). OTA’s peptide bond is oriented towards neutral metalloendopeptidase residues involved in the catalytic activity, His373, His369, His453 and Glu393 (Figure 20).
The inactivation mechanism in OTA by neutral metalloendopeptidase triggers the catalytic action of the Zn that attacks the carbonyl of the amide group in OTA, resulting in α-ochratoxin and β-phenylalanine as final products (Figure 21).
Molecular dynamics showed that metalloendopeptidase–OTA complex maintained stable interactions throughout the 100 (ns; Table 4), despite OTA slightly moving from the catalytic triad, but remaining within the ligand binding site and the complex never dissociated (Figure 22).
In vitro experiments showed differences in the neutral metalloendopeptidase capacity to reduce OTA at different pH conditions (ANOVA p ≤ 0.0001; F = 464; Figure 23). Sidak’s multiple comparisons tests showed differences between the control and all tested pH’s treatments, at pH 4.6 in 8.2% (p ≤ 0.0001; t = 7.07; DF = 12); at pH 5 in 14.44% (p ≤ 0.0001; t = 12.47; DF = 12); at pH 7 in 45.26% (p ≤ 0.0001; t = 39.08; DF 12). The final product was identified unequivocally as α-ochratoxin (Figure 24).
3. Discussion
Biological detoxification using enzymes extracted from natural products, or produced by microorganisms, seems to be one of the most promising approaches to reduce or completely remove mycotoxin contamination from food [40]. It is especially worth trying to obtain inexpensive, easy-to-extract and resistant enzymes. In this study, the original predictions were that the proteases, bromelain cysteine from Ananas comosus, bovine trypsin serine and the neutral metalloendopeptidase from Bacillus sutbtilis would biodetoxify OTA by hydrolysing its peptide bond, according to the shared characteristics between the studied enzymes and those previously reported OTA degrading enzymes, including the type of reaction carried out by the enzyme, functional parameters, molecular properties, sequence and structural homology (See Figure 1). To our knowledge this is the first attempt to demonstrate that: (i) bromelain and trypsin are capable of hydrolysing OTA at acidic pH conditions but with low effectiveness; and (ii) the Bacillus sutbtilis neutral metalloendopeptidase was demonstrated to have a high efficacy as an OTA biodetoxifier. Moreover, in all the studied enzymes, both results obtained by docking and in vitro, were consistent, although in vitro experiments showed differences in enzymatic efficiency to hydrolyse OTA. Besides, α-ochratoxin was confirmed as a final product of the enzymatic reaction with trypsin and the metalloendopeptidase due to OTA’s degradation and not due to adsorption. These results are of practical use because pH conditions and contact time are comparable to the digestion process of poultry, constituting an important contribution of this study. This section will discuss the most important findings and their implications are discussed.
This study is the first attempt at evaluating the capacity of bromelain for OTA detoxification, despite being an easy-to-obtain, low-cost and highly resistant enzyme. Although findings by docking showed it was likely that OTA might be detoxified by bromelain, and despite experiments being performed at three different pH levels, results were only significant at the most acidic pH (4.6); however, hydrolysis per cent was low. Since bromelain is a cysteine/thiol-type enzyme containing a Cys–His catalytic dyad, this group of proteases is generally cut from the left side [59]. Thus, catalysis is unlikely to occur if OTA couples backwards to the active site. Moreover, as a protease, bromelain acts specifically, and the peptide bond of Arg–X is reported as its preferable cleavage site [60]. It also needs to recognise the Arg side chain. Since OTA structures do not have these similarities with Arg, it is, therefore, possible that the enzyme may not recognise the cleavage site efficiently. Results showed that although OTA reduced its concentration in the presence of bromelain, there was a lack of detection of the α-ochratoxin ion. This could be because the bromelain degradation rate might be very low and does not accumulate enough α-ochratoxin to be detected. However, further studies are needed to better clarify these assertations including a wide range of pH’s, temperatures, incubation times, substrate concentrations, and other cofactors. Moreover, molecular dynamics studies showed that the OTA–bromelain complex had stability until 50 (ns), suggesting that interactions in the binding site are strong enough to keep the ligand near to the catalytic triad during the time required to hydrolyse OTA. Further studies are needed to delve into this matter.
The results demonstrated that trypsin was effective in hydrolysing OTA at pH 4.6. Since chick’s intestinal pH is acidic, our results suggest that trypsin may be able to hydrolyse OTA in vivo, although OTA’s degradation percentage was below 20%. The only previous study in which OTA hydrolysis using trypsin was evaluated at pH 7.5 and 25 °C, found no OTA hydrolysis [26]. Future studies using trypsin in OTA biotransformation should develop in vivo assays. Further, molecular dynamics demonstrated that OTA was always next to the trypsin active site. This result suggest that the protein–ligand complex is therefore stable and its low degradation rate as demonstrated in in vitro experiments may be due either to non-optimum experimental conditions, or due to OTA being a long time near the active site, as shown in the dynamics, it could be hydrolysed and the product could be behaving as an inhibitor if it has a high affinity for the trypsin active site. However, this statement requires further investigation.
Results showed that the neutral metalloendopeptidase from Bacillus sutbtillis was able to degrade OTA in acidic and neutral pH conditions. Similar values have been previously reported for other metallopeptidases such as carboxypeptidases, from Bacillus amyloliquefaciens [31] and from Aspergillus niger [36] where OTA was found to be degraded by 72 and 99%, respectively, and others [26,27]. Alternatively, the similarity of results found in this study between the pH conditions 4.6 and 5, can be explained in terms of OTA’s ionisation value (4.4 pKa) [61], in which, regardless of OTA’s carboxyl ionisation state, non-significant differences in the mycotoxin transformation were observed. In fact, in the proposed degradation mechanism of OTA, the carboxyl does not take part in the hydrolysis/ionisation. Moreover, although the neutral metalloendopeptidase from Bacillus sutbtilis in this study, degraded OTA at pH 5, it was greater at pH 7, which agrees with those found for a carboxypeptidase by Abrunhosa et al. (2006) [36]. This study reported as optimal pH conditions, values between 6.5 and 7.5. However, they did not obtain OTA degradation testing this enzyme at 50 (°C). Results showed that the metalloendopeptidase effectively degrades OTA at 41 (°C). Further, this is the first attempt to report a metalloendopeptidase with the ability to hydrolyse OTA. According to molecular dynamics results, the metalloendopeptidase–OTA complex stays stable over time, what matches with the high amount of OTA degradation, obtained in vitro.
Results showed that the final OTA metabolite was α-ochratoxin as a product of the reaction in the three tested enzymes. OTA’s enzymatic detoxification could be achieved by the hydrolysis of either: (i) the amide bond to generate α-ochratoxin, and L-phenylalanine by using an amido-hydrolase, or (ii) the lactone ring by using an ochratoxin-lactonase [17,19,24]. However, when compared with the lactone ring opening, the hydrolysis of the amide bond between the phenylalanine and α-ochratoxin, as obtained in this study, has been widely recognised as essentially non-toxic products. α-ochratoxin is the isocoumarin section of OTA. Transforming OTA into α-ochratoxin is an efficient way to reduce not only its concentration but its toxicity [40], since α-ochratoxin has been described as the less toxic member of ochratoxins, where OTA, the most toxic is followed by OTC, OTB and finally by α-ochratoxin [62,63,64,65]. In fact, α-ochratoxin has been found to be 1000-times less toxic in brain cell cultures and its elimination half-life in vivo to be ten-times faster than for OTA [36], and to date, has been further chemically identified, as an OTA degradation product by microorganisms and enzymes [41].
Further, the (2S)-2-methyl-3-phenylpropanoic acid (DB07673), the chosen reference ligand for the neutral metalloendopeptidase protease docking, had the highest affinity (Ki) when compared with the tested ligands (T-2 and OTA). This molecule is an inhibitor by nature, due to its relatively small size, its phenyl and carboxylic acid groups, and the fact that at pH 7 it gets deprotonated. Such traits allow it to easily enter the catalytic site, where its deprotonated carboxylic acid group can perfectly coordinate with the zinc metal ion [66]. Other metallopeptidase inhibitors have also observed the same behaviour [67,68,69,70].
Results showed that trypsin hydrolyses T-2 toxin, even though it was with a low efficiency. However, molecular docking studies showed that T-2 is near the catalytic triad, and molecular dynamics results showed that the trypsin–T2 complex was stable, on the whole, further suggesting that optimal experimental conditions have not yet been reached for a higher hydrolysis yield. Moreover, considering that two out of the three enzymes studied, do not break ester bonds, the T-2 toxin was used as a negative control. However, given its arrangement within both, bromelain and neutral metalloendopeptidase binding Sites, as found in docking, it is therefore possible that the toxin could act as a natural inhibitor. If this statement were true, the amount of enzyme could be increased so it can be inhibited by T-2 leaving the rest free so it might be available to act with OTA. Further, if T-2 is interacting with the enzyme, then although the enzyme cannot degrade it, it would be limited and could not be adsorbed in the animal’s intestine. Since mycotoxins often co-occur in food and feed, it has been shown that they can act harmfully due to interactions between them [71,72]; a stronger synergistic effect has been found for mixtures containing T-2 toxin and OTA [73]. Therefore, results obtained in this study further highlight the importance of continuing to seek effective, environmentally and specific enzymatic options that can detoxify not only one, but several mycotoxin types.
4. Materials and Methods
4.1. In Silico
4.1.1. Protein–Ligand Preparation
The protein structure of the cysteine protease from Ananas comosus (bromelain; PDB ID: 6YCF) and the serine protease from bovine (trypsin; 6T9V) were obtained from the Protein Data Bank® (https://www.rcsb.org/) and chain A was selected. Neutral metalloendopeptidase B (nprB) was modelled by homology using as template, neutral metalloendopeptidase C (Bacillolysin) from Bacillus cereus (PDB ID: 1NPC). Filling missing amino acids and homology modelling were performed in SwissModel® (https://swissmodel.expasy.org/; 12 July 2022). Homology modelling were performed using enzymes own sequence (Uniprot ID: Q7DNA3 and P39899; for bromelain and neutral metalloendopeptidase, respectively). Energy minimisation was performed using Chimera 1.16® (https://www.rbvi.ucsf.edu/chimera) [74]. Ramachandran analyses were performed to validate enzymes’ geometry using MolProbity® (http://molprobity.biochem.duke.edu/index.php [75]. Structures of tested ligands T-2 toxin (PubChem ID: 5284461) and ochratoxin A (Pubchem ID: 442530), and those of reference ligands E64 (Drugbank ID: DB04276), MXH (Pubchem: 154815568) and diamino-methyl-phenylalanine (Drugbank ID: DB07673) were drawn using ChemSketch 2021.2.0® (www.acdlabs.com; 3 August 2022; Table 1). Ligand geometry was optimised at the molecular mechanics level (AM1 basis set) by using Gaussian 09 software® [76]. Multiple sequence analyses (MSA) were performed to compare the sequence homology of our studied enzymes and those of others previously reported [77] using Clustal Omega version 1.2.4 (https://www.ebi.ac.uk/Tools/msa/clustalo/, 11 December 2022) and Unipro UGENE v45.0 [78].
4.1.2. Molecular Docking Studies
Analyses were performed in Autodock Vina [79,80], Swiss Dock [81] and Autodock 4.2.6 [59] due to differences in their molecular docking software’s scoring function, which reduces result biases and increases reliability. To prepare ligand and protein docking files for Autodock Vina and Autodock 4.2.6, Auto Dock Tools 1.5.6 was used [82]. In brief, the remaining water, ligands and ion molecules were removed prior to adding polar hydrogens and Kollmann charges to the protein structures. Gasteiger charges were calculated for each ligand. Finally, Autodock 4.2.6. output files were used in SwissDock.
Molecular docking was performed by using blind and directed approaches. Blind docking was used to explore binding sites in the whole crystal to identify or discard putative allosteric binding sites using a grid box of 120 × 120 × 120 Å. Directed docking was used to evaluate ligand interactions directly in the ligand binding site of each protein, and a grid-box of 60 × 60 × 60 Å was centred on the site where their reference ligand was removed from the crystallised protein. While a Lamarckian genetic algorithm with an initial population of 100 random individuals and 1 × 107 iterations was used for Autodock Vina and AutoDock 4.2. [83], an “accurate” docking type was selected in SwissDock. Results were analysed for affinity estimation values and interactions with AutoDockTools 1.5.6 [84]. Ligand affinity for the protein was evaluated by calculating binding free energy values (ΔG) and were calculated in Autodock Vina, SwissDock and Autodock4, where the more negative the value, the more spontaneous is the binding between ligand–protein. The theoretical value of inhibition (Ki) was calculated in Autodock4, where smaller values indicate a higher ligand affinity for the protein. Images were performed in Discovery Studio® [85] and PyMOL® [86]. To validate the docking procedure, the re-docking of the removed ligand on the enzyme was performed and evaluated.
4.1.3. Molecular Dynamics
To perform the equilibrium molecular dynamics (EMD), files from Autodock 4 tool ligand–protein complexes (.pdb) were prepared using Visual Molecular Dynamics software (VMD v.1.9.4). A water box 10 Å spaced from the protein edge was constructed. The potential CHARMM36m was used to represent the molecules’ force field [87], and the system was neutralized using NaCl ions (0.15 mM). A Langevin dynamic was established to maintain 310 K (36.85 °C). While in the minimization process 2500 steps were used, for the equilibration process (NVT) 2,500,000 steps were (5 ns), and for the final simulation time (NPT) 50,000,000 steps 100 (ns). The time step was set to 2 fs/step. EMD were performed using the NAMD 2.14 software [88]. Trajectories were analysed by calculating the mean root square deviation (RMSD) with the RMSD plugin using the Visualizer Tool of VMD 1.9.4. Finally, trajectories were plotted using the Xmgrace software.
4.2. In Vitro Experiments
Control tubes consisted of pure mycotoxin standard 100 (µg/Kg) and phosphate buffer with a final volume of 1 (mL). The OTA detection limit was 14.11 (µg/L), and the quantification limit 23.45 (µg/L). Tested tubes, contained a mixture with a final volume of 1 (mL) containing 20 (mg) of the enzymes, either bromelain from Ananas comosus (Sigma®, Indonesia), trypsin from bovine (Sigma®), or neutral metalloendopeptidase from Bacillus subtilis (Neutroma®, JiangXi, China), OTA pure standard 100 (ppb; Trilogy TSL-504®, Washington, DC, USA) and 150 (mM) phosphate buffer. For all tested enzymes, assays were performed at pH 4.6, 5 and 7, at 41 (°C) and the incubation period lasted 60 (min). Tubes were centrifuged at 18,000× g for 2 (min). T-2 (1000 µg/Kg) was only tested with trypsin under the same experimental conditions as OTA.
4.2.1. Residual OTA Analysis
Initial OTA quantification was assessed using a reverse phase with an HPLC (Agilent Technology 1100 series) coupled to a fluorescence detector (Perkin Elmer, Beaconsfield, Buckinghamshire, UK; LS50B), at an excitation wavelength of 345 (nm) and an emission wavelength of 455 (nm). A column DISCOVERY C-18 (250 × 4.6 mm; 5-micron, Supelco, USA) was used at a temperature of 25 (°C). The mobile phase consisted of acetonitrile: 0.25 N phosphoric acid (50:50). The run was isocratic with a constant flow of 1 (mL/min). Data collection was done by FL Winlab (version 2.0; The Perkin-Elmer Corporation). Samples were injected in triplicate and chromatograms were compared with those of their own control.
To identify final metabolites, when the tested enzyme significantly reduced OTA in samples compared with their own control, a reverse phase HPLC–ESI–TOF–MS (High Pressure Liquid Chromatography–Electrospray-Time of Flight–Mass spectrometry) was used, in positive ion mode, using an Agilent 1260 Infinity HPLC system equipped with a C-18 column (2.1 × 100 mm; 1.8 micron, ZORBAX Eclipse Plus, CA, USA); 1.8 Micron (Agilent Technologies, CA, USA) at a temperature of 25 (°C). The mobile phase consisted of water: formic acid (1%) and acetonitrile: formic acid (1%) with a flow rate of 0.15 (mL/min) and an injection volume of 40 (µL). The HPLC was coupled to a TOF/MS (Agilent 66230B) with an electrospray interface [89]. Gas temperature was 350 (°C), gas flow 6 (L/min) and nebuliser pressure 50 (psig), shredder 100 (V), skimmer 65 (V) and OCT RF vpp 750 (V), capillary voltage 3500 (V). Final precursor ions were identified at 404.05 and 212.84 (m/z), OTA and α-ochratoxin, respectively. The total range examined was from 100 to 1000 (m/z). Samples were injected in triplicate and data were registered with the acquisition software Mass Hunter Workstation LC/MS Data Acquisition version B.05.01.
4.2.2. Residual T-2 Analysis
T-2 quantification was carried out by reverse phase HPLC–ESI–TOF–MS, in a positive ion mode using an Agilent 1260 Infinity HPLC (Agilent Technologies, Yishun, Singapore) system equipped with an RRHD Eclipse Plus C-18 column (1.8 µm, 2.1 × 100 mm; Agilent Technologies, USA); at 25 (°C). The mobile phase consisted of (A) ammonium acetate (10 mM) and (B) HPLC-grade methanol. The gradient started with 80 (%) A and 20 (%) B. Flow rate was set to 0.15 (mL/min) and 40 (µL) for the sample injection volume. The HPLC was coupled to an Agilent 66230B TOF/MS with an electrospray interface. The gas temperature was at 350 (°C), gas flow 6 (L/min) and nebuliser pressure 50 (psig), shredder 105 (V), skimmer 60 (V) and Oct RF 750 (V), capillary voltage 4000 (V). The final precursor ion for T-2 was identified at 484.25 (m/z) and 442.24 (m/z) for HT-2. The total range examined was from 100 to 1000 (m/z). Samples were injected in triplicate. Data were analysed in the Mass Hunter Data Acquisition software for 6200 series (version 5.01.5125; Agilent Technologies, USA) and Qualitative Analysis (version 6.0.633.10 (Aligent Technologies, 2017).
4.2.3. Data Analysis
To determine whether differences in OTA and T-2 concentrations (µg/L) exist between control and tested tubes under different pH and temperature conditions, one-way multiple analysis of variance (ANOVA) was performed, followed by Sidak’s post hoc tests [90,91]. A p < 0.05 was considered significant. Analyses and figures were performed using Prism 8® Version 8.4.0 for Mac OS, (GraphPad Software, Inc., La Jolla, CA 92037, USA).
5. Conclusions
Overall, this study provides consistent in silico and in vitro evidence, that bromelain and trypsin are capable of hydrolysing OTA in acidic pH conditions at a low efficiency; The Bacillus sutbtilis neutral metalloendopeptidase has a great effectiveness as an OTA bio detoxifier, confirming α-ochratoxin as a final product of the enzymatic reactions and providing real-time practical information on OTA degradation rate.
Acknowledgments
The authors thank Eugenia Carolina Flores Sánchez for her support in the English revision of this manuscript.
Author Contributions
Conceptualization, P.C.O.-C., C.M.F.-O. and O.N.R.-P.; methodology, P.C.O.-C., L.B.H.-P., J.V.M., C.M.F.-O. and O.N.R.-P.; software, P.C.O.-C. and O.N.R.-P.; validation, L.B.H.-P., J.V.M., C.M.F.-O. and O.N.R.-P.; formal analysis, L.B.H.-P., J.V.M., C.M.F.-O. and O.N.R.-P.; investigation, P.C.O.-C., L.B.H.-P., J.V.M., C.M.F.-O. and O.N.R.-P.; resources, C.M.F.-O. and O.N.R.-P.; data curation, P.C.O.-C. and L.B.H.-P.; writing—original draft preparation, P.C.O.-C., L.B.H.-P. and O.N.R.-P.; writing—review and editing, C.M.F.-O. and O.N.R.-P.; visualization, C.M.F.-O. and O.N.R.-P.; supervision, C.M.F.-O. and O.N.R.-P.; project administration, C.M.F.-O. and O.N.R.-P.; funding acquisition, O.N.R.-P. All authors have read and agreed to the published version of the manuscript.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
Funding Statement
This research was funded by Fondo para la Investigación Científica y Desarrollo Tecnológico del Estado de México (COMECyT; FICDTEM-2021-077) to O.N.R-P.
Footnotes
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References
- 1.Haque M.A., Wang Y., Shen Z., Li X., Saleemi M.K., He C. Mycotoxin contamination and control strategy in human, domestic animal and poultry: A review. Microb. Pathog. 2020;147:104095. doi: 10.1016/j.micpath.2020.104095. [DOI] [PubMed] [Google Scholar]
- 2.Shephard G.S. Impact of mycotoxins on human health in developing countries. Food Addit. Contam. 2008;25:146–151. doi: 10.1080/02652030701567442. [DOI] [PubMed] [Google Scholar]
- 3.Omotayo O.P., Omotayo A.O., Mwanza M., Babalola O.O. Prevalence of Mycotoxins and Their Consequences on Human Health. Toxicol. Res. 2019;35:1–7. doi: 10.5487/TR.2019.35.1.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Taheur F.B., Kouidhi B., Quarashi Y.M.A., Salah-Abbès J.B., Chaieb K. Review: Biotechnology of mycotoxins detoxification using microorganisms and enzymes. Toxicon. 2019;160:12–22. doi: 10.1016/j.toxicon.2019.02.001. [DOI] [PubMed] [Google Scholar]
- 5.Alshannaq A., Yu J.-H. Occurrence, Toxicity, and Analysis of Major Mycotoxins in Food. Int. J. Environ. Res. Public Health. 2017;14:632. doi: 10.3390/ijerph14060632. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Tola M., Kebede B. Occurrence, importance and control of mycotoxins: A review. Cogent Food Agric. 2016;2:1191103. doi: 10.1080/23311932.2016.1191103. [DOI] [Google Scholar]
- 7.Richard J.L. Some major mycotoxins and their mycotoxicoses—An overview. Int. J. Food Microbiol. 2007;119:3–10. doi: 10.1016/j.ijfoodmicro.2007.07.019. [DOI] [PubMed] [Google Scholar]
- 8.Agriopoulou S., Stamatelopoulou E., Varzakas T. Advances in occurrence, importance, and mycotoxin control strategies: Prevention and detoxification in foods. Foods. 2020;9:137. doi: 10.3390/foods9020137. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Van Egmond H.P., Schothorst R.C., Jonker M.A. Regulations relating to mycotoxins in food. Anal. Bioanal. Chem. 2007;389:147–157. doi: 10.1007/s00216-007-1317-9. [DOI] [PubMed] [Google Scholar]
- 10.Ji C., Fan Y., Zhao L. Review on biological degradation of mycotoxins. Anim. Nutr. 2016;2:127–133. doi: 10.1016/j.aninu.2016.07.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Li P., Su R., Yin R., Lai D., Wang M., Liu Y., Zhou L. Detoxification of Mycotoxins through Biotransformation. Toxins. 2020;12:121. doi: 10.3390/toxins12020121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Fumagalli F., Ottoboni M., Pinotti L., Cheli F. Integrated Mycotoxin Management System in the Feed Supply Chain: Innovative Approaches. Toxins. 2021;13:572. doi: 10.3390/toxins13080572. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Chen P., Xiang B., Shi H., Yu P., Song Y., Li S. Recent advances on type A trichothecenes in food and feed: Analysis, prevalence, toxicity and decontamination techniques. Food Control. 2020;118:107371. doi: 10.1016/j.foodcont.2020.107371. [DOI] [Google Scholar]
- 14.Boudergue C., Burel C., Dragacci S., Favrot M., Fremy J., Massimi C., Prigent P., Debongnie P., Pussemier L., Boudra H., et al. Review of mycotoxin-detoxifying agents used as feed additives: Mode of action, efficacy and feed/food safety. EFSA Support Pub. 2009;6:192. doi: 10.2903/sp.efsa.2009.EN-22. [DOI] [Google Scholar]
- 15.Karlovsky P., Suman M., Berthiller F., DeMeester J., Eisenbrand G., Perrin I., Oswald I.P., Speijers G., Chiodini A., Recker T., et al. Impact of food processing and detoxification treatments on mycotoxin contamination. Mycotoxin. Res. 2016;32:179–205. doi: 10.1007/s12550-016-0257-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Loi M., Fanelli F., Liuzzi V.C., Logrieco A.F., Mulè G. Mycotoxin biotransformation by native and commercial enzymes: Present and future perspectives. Toxins. 2017;9:111. doi: 10.3390/toxins9040111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Lyagin I., Efremenko E. Enzymes for Detoxification of Various Mycotoxins: Origins and Mechanisms of Catalytic Action. Molecules. 2019;24:2362. doi: 10.3390/molecules24132362. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Stoycho D.S. Food Safety and Increasing Hazard of Mycotoxin Occurrence in Foods and Feeds. Crit. Rev. Food Sci. Nutr. 2013;53:887–901. doi: 10.1080/10408398.2011.571800. [DOI] [PubMed] [Google Scholar]
- 19.Liu L., Xie M., Wei D. Biological Detoxification of Mycotoxins: Current Status and Future Advances. Int. J. Mol. Sci. 2022;23:1064. doi: 10.3390/ijms23031064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Liu M., Zhao L., Gong G., Zhang L., Shi L., Dai J., Han Y., Wu Y., Khalil M.M., Sun L. Invited review: Remediation strategies for mycotoxin control in feed. J. Anim. Sci. Biotechnol. 2022;13:19. doi: 10.1186/s40104-021-00661-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Stander M.A., Bornscheuer U.T., Henke E., Steyn P.S. Screening of commercial hydrolases for the degradation of ochratoxin A. J. Agric. Food Chem. 2000;48:5736–5739. doi: 10.1021/jf000413j. [DOI] [PubMed] [Google Scholar]
- 22.Zhai S., Zhu Y., Feng P., Li M., Wang W., Yang L., Yang Y. Ochratoxin A: Its impact on poultry gut health and microbiota, an Overview. Poult. Sci. J. 2021;100:101037. doi: 10.1016/j.psj.2021.101037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Zhu L., Wang H., Yuhan J., Zhang B., Li H., Asakiya C., Huang K., He X., Xu W. Exosomes mediated the delivery of ochratoxin A-induced cytotoxicity in HEK293 cells. Toxicology. 2021;461:152926. doi: 10.1016/j.tox.2021.152926. [DOI] [PubMed] [Google Scholar]
- 24.Leitão A.L., Enguita F.J. Systematic Structure-Based Search for Ochratoxin-Degrading Enzymes in Proteomes from Filamentous Fungi. Biomolecules. 2021;11:1040. doi: 10.3390/biom11071040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Rani K., Rana R., Datt S. Review on latest overview of proteases. Int. J. Curr. Res. 2012;2:12–18. [Google Scholar]
- 26.Pitout M.J. The hydrolysis of Ochratoxin A by some proteolytic enzymes. Biochem. Pharmacol. 1969;18:485–491. doi: 10.1016/0006-2952(69)90224-X. [DOI] [PubMed] [Google Scholar]
- 27.Stander M.A., Steyn P.S., van Der Westhuizen F.H., Payne B.E. A kinetic study into the hydrolysis of the ochratoxins and analogues by carboxypeptidase A. Chem. Res. Toxicol. 2001;14:302–304. doi: 10.1021/tx000221i. [DOI] [PubMed] [Google Scholar]
- 28.Abrunhosa L., Santos L., Venâncio A. Degradation of Ochratoxin A by proteases and by a crude enzyme of Aspergillus niger. Food Biotechnol. 2006;20:231–242. doi: 10.1080/08905430600904369. [DOI] [Google Scholar]
- 29.Péteri Z., Téren J., Vágvolgyi C., Varga J. Ochratoxin degradation and adsorption caused by astaxanthin-producing yeasts. Food Microbiol. 2007;24:205–210. doi: 10.1016/j.fm.2006.06.003. [DOI] [PubMed] [Google Scholar]
- 30.Dobritzsch D., Wang H., Schneider G., Yu S. Structural and functional characterization of ochratoxinase, a novel mycotoxin-degrading enzyme. Biochem. J. 2014;462:441–452. doi: 10.1042/BJ20140382. [DOI] [PubMed] [Google Scholar]
- 31.Chang X., Wu Z., Wu S., Dai Y., Sun C. Degradation of ochratoxin A by bacillus amyloliquefaciens ASAG1. Food Addit. Contam.-Part A. 2014;32:564–571. doi: 10.1080/19440049.2014.991948. [DOI] [PubMed] [Google Scholar]
- 32.Zhang X., Yang H., Apaliya M.T., Zhao L., Gu X., Zheng X., Hu W., Zhang H. The mechanisms involved in ochratoxin A elimination by Yarrowia lipolytica Y-2. Ann. Appl. Biol. 2018;173:164–174. doi: 10.1111/aab.12452. [DOI] [Google Scholar]
- 33.Wei W., Qian Y., Wu Y., Chen Y., Peng C., Luo M., Xu J., Zhou Y. Detoxification of ochratoxin A by Lysobacter sp. CW239 and characteristics of a novel degrading gene carboxypeptidase cp4. Environ. Pollut. 2020;258:113677. doi: 10.1016/j.envpol.2019.113677. [DOI] [PubMed] [Google Scholar]
- 34.Xiong L., Peng M., Zhao M., Liang Z. Truncated expression of a carboxypeptidase A from bovine improves its enzymatic properties and detoxification efficiency of ochratoxin A. Toxins. 2020;12:680. doi: 10.3390/toxins12110680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Qing H., Huo X., Huang S., Zhao L., Zhang J., Ji C., Ma Q. Bacillus subtilis ANSB168 Producing D-Alanyl-D-Alanine Carboxypeptidase Could Alleviate the Immune Injury and Inflammation Induced by Ochratoxin, A. Int. J. Mol. Sci. 2021;22:12059. doi: 10.3390/ijms222112059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Abrunhosa L., Paterson R.R.M., Venâncio A. Biodegradation of ochratoxin A for food and feed decontamination. Toxins. 2010;2:1078–1099. doi: 10.3390/toxins2051078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Wu Q., Dohnal V., Huang L., Kuca K., Wang X., Chen G., Yuan Z. Metabolic pathways of ochratoxin A. Curr. Drug Metab. 2011;12:1–10. doi: 10.2174/138920011794520026. [DOI] [PubMed] [Google Scholar]
- 38.Malir F., Ostry V., Pfohl-Leszkowicz A., Malir J., Toman J. Ochratoxin A: 50 Years of Research. Toxins. 2016;8:191. doi: 10.3390/toxins8070191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Chen W., Li C., Zhang B., Zhou Z., Shen Y., Liao X., Yang J., Wang Y., Li X., Li Y., et al. Advances in Biodetoxification of Ochratoxin A-A Review of the Past Five Decades. Front. Microbiol. 2018;9:1386. doi: 10.3389/fmicb.2018.01386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Nahle S., Khoury E.E., Savvaidis I., Chokr A., Louka N., Atoui A. Detoxification approaches of mycotoxins: By microorganisms, biofilms and enzymes. Int. J. Food Contam. 2022;9:3. doi: 10.1186/s40550-022-00089-2. [DOI] [Google Scholar]
- 41.Wang L., Hua X., Shi J., Jing N., Ji T., Lv B., Liu L., Chen Y. Ochratoxin A: Occurrence and recent advances in detoxification. Toxicon. 2022;210:11–18. doi: 10.1016/j.toxicon.2022.02.010. [DOI] [PubMed] [Google Scholar]
- 42.Ebert M.C., Pelletier J.N. Computational tools for enzyme improvement: Why everyone can—And should—Use them. Curr. Opin. Chem. Biol. 2017;37:89–96. doi: 10.1016/j.cbpa.2017.01.021. [DOI] [PubMed] [Google Scholar]
- 43.Pagadala N.S., Syed K., Tuszynski J. Software for molecular docking: A review. Biophys. Rev. 2017;9:91–102. doi: 10.1007/s12551-016-0247-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Ballón W.G., Grados R.E. Acoplamiento molecular: Criterios prácticos para la selección de ligandos biológicamente activos e identificación de nuevos blancos terapéuticos. Rev. Con-Cienc. 2019;7:55–72. [Google Scholar]
- 45.Schatzmayr G., Heidler D., Fuchs E., Nitsch S., Mohnl M., Taubel M., Loibner A.P., Braun R., Binder E.M. Investigation of different yeast strains for the detoxification of ochratoxin A. Mycotoxin Res. 2003;19:124–128. doi: 10.1007/BF02942950. [DOI] [PubMed] [Google Scholar]
- 46.Cho S.M., Jeong S.E., Lee K.R., Sudhani H.P.K., Kim M., Hong S.Y., Chung S.H. Biodegradation of ochratoxin A by Aspergillus tubingensis isolated from meju. J. Microbiol. Biotechnol. 2016;26:1687–1695. doi: 10.4014/jmb.1606.06016. [DOI] [PubMed] [Google Scholar]
- 47.Azarkan M., Maquoi E., Delbrassine F., Herman R., M’Rabet N., Calvo E.R., Charlier P., Kerff F. Structures of the free and inhibitors-bound forms of bromelain and ananain from Ananas comosus stem and in vitro study of their cytotoxicity. Sci. Rep. 2020;10:19570. doi: 10.1038/s41598-020-76172-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Hikisz P., Bernasinska-Slomczewska J. Beneficial Properties of Bromelain. Nutrients. 2021;13:4313. doi: 10.3390/nu13124313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Van der Merwe K.J., Steyn P.S., Fourie L. 1304. Mycotoxins. Part II. The constitution of ochratoxins A, B and C, metabolites of Aspergillus ochraceus Wilh. J. Chem. Soc. 1965:7083–7088. doi: 10.1039/jr9650007083. [DOI] [PubMed] [Google Scholar]
- 50.Long J.Z., Cravatt B.F. The metabolic serine hydrolases and their functions in mammalian physiology and disease. Chem. Rev. 2011;111:6022–6063. doi: 10.1021/cr200075y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Feder J. Studies on the specificity of Bacillus subtilis neutral protease with synthetic substrates. Biochemistry. 1967;6:2088–2093. doi: 10.1021/bi00859a028. [DOI] [PubMed] [Google Scholar]
- 52.Zheng Y., Chen Q., Shan A., Zhang H. Optimization of the enzymatic hydrolysis of blood cells with a neutral protease. Biomed. Res. Int. 2013;2013:278927. doi: 10.1155/2013/278927. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Hu Q., Jayasingue-Arachchige V.M., Sharma G., Serafim L.F., Paul T.J., Prabhakar R. Mechanisms of peptide and phosphoester hydrolysis catalyzed by two promiscuous metalloenzymes (insulin degrading enzyme and glycerophosphodiesterase and their synthetic analogues. Wiley Interdiscip. Rev. Comput. Mol. Sci. 2020;10:e1466. doi: 10.1002/wcms.1466. [DOI] [Google Scholar]
- 54.Pernica M., Kyralová B., Svoboda Z., Bosko R., Brožková I., Česlová L., Benešová K., Červenka L., Běláková S. Levels of T-2 toxin and its metabolites, and the occurrence of Fusarium fungi in spring barley in the Czech Republic. Food Microbiol. 2022;102:103875. doi: 10.1016/j.fm.2021.103875. [DOI] [PubMed] [Google Scholar]
- 55.Pilgram O., Keils A., Benary G.E., Müller J., Merkl S., Ngaha S., Huber S., Chevillard F., Harbif A., Magdolen V., et al. Improving the selectivity of 3-amidinophenylalanine-derived matriptase inhibitors. Eur. J. Med. Chem. 2022;238:114437. doi: 10.1016/j.ejmech.2022.114437. [DOI] [PubMed] [Google Scholar]
- 56.National Center for Biotechnology Information (NCBI) PubChem Compound Summary for CID 99862, 2-Methyl-3-phenylpropanoic Acid. [(accessed on 12 September 2022)]; Available online: https://pubchem.ncbi.nlm.nih.gov/compound/2-Methyl-3-phenylpropanoic-acid.
- 57.Yu S., Poulsen C.H., Dalsgaard S., Wang H., Nikolaev I. Food Additive Comprising an Amidase for Detoxifying Ochratoxin. Application No. US9113649B2. U.S. Patent. 2015 August 25;
- 58.Azam M.S., Yu D., Liu N., Wu A. Degrading Ochratoxin A and Zearalenone mycotoxins using a multifunctional recombinan enzyme. Toxins. 2019;11:301. doi: 10.3390/toxins11050301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Vernet T., Tessier D.C., Chatellier J., Plouffe C., Lee T.S., Thomas D., Storer R., M’enard A.C. Structural and functional roles of asparagine 175 in the cysteine protease papain. J. Biol. Chem. 1995;270:16645–16652. doi: 10.1074/jbc.270.28.16645. [DOI] [PubMed] [Google Scholar]
- 60.Murachi T., Yamazaki M. Changes in conformation and enzymatic activity of stem bromelain in alkaline activity of stem bromelain in alkaline media. Biochemistry. 1970;9:1935–1938. doi: 10.1021/bi00811a012. [DOI] [PubMed] [Google Scholar]
- 61.Bazin I., Faucet-Marquis V., Monje M.C., El Khoury M., Marty J.L., Pfohl-Leszkowicz A. Impact of pH on the stability and the cross-reactivity of ochratoxin A and citrinin. Toxins. 2013;5:2324–2340. doi: 10.3390/toxins5122324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Creppy E.E., Stormer F.C., Roschenthaler R., Dirheimer G. Effects of two metabolites of ochratoxin A, (4R)-4-hydroxyochratoxin A and ochratoxin a, on immune response in mice. Infect. Immun. 1983;39:1015–1018. doi: 10.1128/iai.39.3.1015-1018.1983. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Bruinink A., Rasonyi T., Sidler C. Differences in neurotoxic effects of ochra- toxin A, ochracin and ochratoxin-a in vitro. Nat. Toxins. 1998;6:173–177. doi: 10.1002/(SICI)1522-7189(199809/10)6:5<173::AID-NT10>3.0.CO;2-4. [DOI] [PubMed] [Google Scholar]
- 64.Xiao H., Madhyastha S., Marquardt R.R., Li S., Vodela J.K., Frohlich A.A., Kemppainen B.W. Toxicity of ochratoxin A, its opened lactone form and several of its analogs: Structure-activity relationships. Toxicol. Appl. Pharmacol. 1996;137:182–192. doi: 10.1006/taap.1996.0071. [DOI] [PubMed] [Google Scholar]
- 65.Müller G., Burkert B., Möller U., Diller R., Rohrmann B., Rosner H., Köhler H. Ochratoxin A and some of its derivatives modulate radical formation of porcine blood monocytes and granulocytes. Toxicology. 2004;199:251–259. doi: 10.1016/j.tox.2004.01.040. [DOI] [PubMed] [Google Scholar]
- 66.Cerofolini L., Fragai M., Luchinat C. Mechanism and Inhibition of Matrix Metalloproteinases. Curr. Med. Chem. 2019;26:2609–2633. doi: 10.2174/0929867325666180326163523. [DOI] [PubMed] [Google Scholar]
- 67.Pikul S., Ohler N.E., Ciszewski G., Laufersweiler M.C., Almstead N.G., De B., Natchus M.G., Hsieh L.C., Janusz M.J., Peng S.X., et al. Potent and selective carboxylic acid- based inhibitors of matrix metalloproteinases. J. Med. Chem. 2001;44:2499–2502. doi: 10.1021/jm015531s. [DOI] [PubMed] [Google Scholar]
- 68.Hu Y., Xiang J.S., DiGrandi M.J., Du X., Ipek M., Laakso L.M., Li J., Li W., Rush T.S., Schmid J., et al. Potent, selective, and orally bioavailable matrix metalloproteinase- 13 inhibitors for the treatment of osteoarthritis. Bioorg. Med. Chem. 2005;13:6629–6644. doi: 10.1016/j.bmc.2005.07.076. [DOI] [PubMed] [Google Scholar]
- 69.Li J., Rush T.S., III, Li W., DeVincentis D., Du X., Hu Y., Thomason J.R., Xiang J.S., Skotnicki J.S., Tam S., et al. Synthesis and SAR of highly selective MMP-13 inhibitors. Bioorg. Med. Chem. Lett. 2005;15:4961–4966. doi: 10.1016/j.bmcl.2005.08.001. [DOI] [PubMed] [Google Scholar]
- 70.Wu J., Rush T.S., III, Hotchandani R., Du X., Geck M., Collins E., Xu Z.B., Skotnicki J., Levin J.I., Lovering F.E. Identification of potent and selective MMP-13 inhibitors. Bioorg. Med. Chem. Lett. 2005;15:4105–4109. doi: 10.1016/j.bmcl.2005.06.019. [DOI] [PubMed] [Google Scholar]
- 71.Santini A., Meca G., Uhlig S., Ritieni A. Fusaproliferin, beauvericin and enniatins: Occurrence in food—A review. World Mycotoxin J. 2012;5:71–81. doi: 10.3920/WMJ2011.1331. [DOI] [Google Scholar]
- 72.Streit E., Schatzmayr G., Tassis P., Tzika E., Marin D., Taranu I., Tabuc C., Nicolau A., Aprodu I., Puel O., et al. Current situation of mycotoxin contamination and co-occurrence in animal feed focus on Europe. Toxins. 2012;4:788–809. doi: 10.3390/toxins4100788. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Palumbo R., Crisci A., Venâncio A., Cortiñas Abrahantes J., Dorne J.L., Battilani P., Toscano P. Occurrence and Co-Occurrence of Mycotoxins in Cereal-Based Feed and Food. Microorganisms. 2020;8:74. doi: 10.3390/microorganisms8010074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Pettersen E.F., Goddard T.D., Huang C.C., Couch G.S., Greenblatt D.M., Meng E.C., Ferrin T.E. UCSF Chimera—A Visualization System for Exploratory Research and Analysis. J. Comput. Chem. 2004;25:1605–1612. doi: 10.1002/jcc.20084. [DOI] [PubMed] [Google Scholar]
- 75.Williams C.J., Headd J., Moriarty N.W., Prisant M.G., Videau L.L., Deis L.N., Verma V., Keedy D.A., Hintze B.J., Chen V.B., et al. MolProbity: More and better reference data for improved all-atom structure validation. Protein Sci. 2018;27:293–315. doi: 10.1002/pro.3330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Frisch M.J., Trucks G.W., Schlegel H.B., Scuseria G.E., Robb M.A., Cheeseman J.R., Scalmani G., Barone V., Petersson G.A., Nakatsuji H., et al. Gaussian 09. Gaussian, Inc.; Wallingford, CT, USA: 2016. [Google Scholar]
- 77.Sievers F., Higgins D.G. Clustal Omega for making accurate alignments of many protein sequences. Protein Sci. 2018;27:135–145. doi: 10.1002/pro.3290. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Okonechnikov K., Golosova O., Fursov M., The UGENE Team Unipro UGENE: A unified bioinformatics toolkit. Bioinforms. 2012;28:1166–1167. doi: 10.1093/bioinformatics/bts091. [DOI] [PubMed] [Google Scholar]
- 79.Trott O., Olson A.J. AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J. Comput. Chem. 2010;31:455–461. doi: 10.1002/jcc.21334. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Eberhardt J., Santos-Martins D., Tillack A.F., Forli S. AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field and Python Bindings. J. Chem. Inf. Model. 2021;61:3891–3898. doi: 10.1021/acs.jcim.1c00203. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Grosdidier A., Zoete V., Michielin O. SwissDock, a protein-small molecule docking web service based on EADock DSS. Nucleic Acids Res. 2011;39:W270–W277. doi: 10.1093/nar/gkr366. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Morris G.M., Huey R., Lindstrom W., Sanner M.F., Belew R.K., Goodsell D.S., Olson A.J. AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility. J. Comput. Chem. 2009;30:2785–2791. doi: 10.1002/jcc.21256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Scripps Research, AutoDock. 2014. [(accessed on 12 July 2022)]. Available online: https://autodock.scripps.edu.
- 84.Morris G.M., Goodsell D.S., Halliday R.S., Huey R., Hart W.E., Belew R.K., Olson A.J. Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function. J. Comput. Chem. 1998;19:1639–1662. doi: 10.1002/(SICI)1096-987X(19981115)19:14<1639::AID-JCC10>3.0.CO;2-B. [DOI] [Google Scholar]
- 85.BIOVIA—Dassault Systèmes . Discovery Studio Visualizer, Version 21.1.0.20298. Dassault Systèmes; San Diego, CA, USA: 2020. [Google Scholar]
- 86.Schrödinger L., DeLano W. PyMOL. 2020. [(accessed on 12 July 2022)]. Available online: http://www.pymol.org/pymol.
- 87.Huang J., Rauscher S., Nawrocki G., Ran T., Feig M., Alexander M.J. CHARMM36m: An Improved Force Field for Folded and Intrinsically Disordered Proteins. Nat. Methods. 2017;1:71–73. doi: 10.1038/nmeth.4067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Phillips J.C., Hardy D.J., Maia J.D.C., Stone J.E., Ribeiro J.V., Bernardi R.C., Buch R., Fiorin G., Hénin J., Jiang W., et al. Scalable molecular dynamics on CPU and GPU architectures with NAMD. Chem. Phys. 2020;153:044130. doi: 10.1063/5.0014475. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Solfrizzo M., Avantaggiato G., Visconti A. Use of various clean-up procedures for the analysis of ochratoxin A in cereal. J. Chromatogr. A. 1998;815:67–73. doi: 10.1016/S0021-9673(98)00271-4. [DOI] [PubMed] [Google Scholar]
- 90.Zar J.H. Biostatistical Analysis. Prentice-Hall, Inc.; Upper Saddle River, NJ, USA: 1996. [Google Scholar]
- 91.Daniel W. Bioestadística. Wiley; Hoboken, NJ, USA: 2006. p. 924. [Google Scholar]
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