Alleviating Effects of Ethanol Extract from Acremonium terricola Culture on Patulin Toxicity
Haiyan Lin, Savindi Kaushalya Edirisinghe, Ijeoma Esther Okolo, Zhen Chen, Juan Sun, Wei Hong, Ruiyu Zhu

TL;DR
A fungal extract helps reduce the harmful effects of patulin, a toxic compound, by boosting antioxidants in worms.
Contribution
The study reveals the molecular mechanism and effectiveness of Acremonium terricola extract in mitigating patulin toxicity.
Findings
EEAT treatment improved locomotion and antioxidant enzyme activities in patulin-exposed C. elegans.
Key compounds like coumarin and trigonelline showed strong binding to targets SIR-2.1 and DAF-2.
EEAT extract effectively reduces oxidative damage caused by patulin exposure.
Abstract
Exposure to patulin (PAT) poses a significant health risk to animals, emphasizing the need for natural, safe substances to mitigate toxicity. Acremonium terricola culture (ATC), a fungal fermentation-derived feed additive, is known for its antioxidant properties, yet its potential to alleviate mycotoxin-induced toxicity remains largely uninvestigated. In this study, the ethanol extracts from the ATC (EEAT) were prepared with a total phenolic content of 67.9 mg GAE/g and a total flavonoid content of 32.7 mg RE/g. Ultra-high performance liquid chromatography coupled with tandem mass spectrometry (UPLC-ESI-MS/MS) analysis was employed to investigate the bioactive components in EEAT. In PAT-exposed Caenorhabditis elegans models, EEAT treatment significantly enhanced locomotory capacity and elevated antioxidant enzyme activities by 63.1% (SOD) and 90.1% (GSH-ST), respectively. Molecular…
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Figure 6- —National Natural Science Foundation of China
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Taxonomy
TopicsFungal Biology and Applications · Mycotoxins in Agriculture and Food · Genetics, Aging, and Longevity in Model Organisms
1. Introduction
Mycotoxins are common fungal secondary metabolites in cereals, fruits, and vegetables [1]. Patulin (PAT), polyketide lactone (4-hydroxy-4H-furo [3,2-c] pyran-2(6H)-one), is primarily secreted by Penicillium, Aspergillus, and Byssochlamys species [2,3]. Recent surveillance studies have documented varying PAT contamination levels across diverse agricultural products (e.g., fruits and fruit juice) and geographical regions (e.g., Pakistan, Qatar, China) [4,5,6]. Chronic exposure to PAT has been linked to neurotoxicity, renal toxicity, and other health risks [7], largely attributed to its capacity to deplete glutathione (GSH) reserves, inhibit glutathione S-transferase (GST) activity, and induce excessive intracellular reactive oxygen species (ROS) accumulation [8,9]. Consequently, identifying effective strategies to counteract PAT-induced oxidative damage remains a critical research priority.
Current approaches to mitigate mycotoxin toxicity emphasize dietary interventions utilizing probiotics and phytochemicals. For example, the intake of Lactobacillus plantarum and Saccharomyces cerevisiae has been reported to reduce oxidative stress induced by PAT in C. elegans [10,11]. However, probiotic-based approaches require strict viability control during storage and gastrointestinal transit, constraining their practical application. Similarly, plant-derived compounds such as curcumin, lycopene, and resveratrol exhibit protective effects against aflatoxin toxicity through antioxidative and detoxification pathways [12,13,14]. A recent study demonstrated apple polyphenols’ ability to alleviate PAT-induced intestinal damage via gut microbiota modulation [15]. Nevertheless, existing interventions predominantly target aflatoxins, as well as lacking PAT-specific toxicity mechanisms. The potential of natural bioactive compounds from non-plant sources, particularly fungi, in alleviating PAT toxicity remains underexplored.
Fungi have recently garnered attention as reservoirs of bioactive metabolites with detoxification potential. Acremonium terricola, a natural asexual fungal strain derived from Cordyceps gunnii, is artificially extracted to produce effective products through solid fermentation [16,17]. A. terricola culture (ATC) has emerged as a promising alternative to synthetic antibiotics as a feed additive, largely due to its rich composition of bioactive compounds, such as nucleosides (adenosine and cordycepin), vitamins (vitamin B), sugar alcohols (cordycepic acid), and sterols (ergosterol) [17]. Contemporary research demonstrates that these secondary metabolites exhibit potent antioxidant properties and immunoregulatory capacities in animal systems [17,18,19,20], characteristics that are particularly relevant for mycotoxin mitigation. However, the precise composition of ATC’s bioactive arsenal and its mechanistic action against PAT-induced toxicity remain poorly characterized. Caenorhabditis elegans has emerged as a powerful toxicological model due to its conserved detoxification pathways and physiological relevance to mammalian systems [21]. Its high-throughput capacity enables efficient screening of bioactive compounds through quantitative assessment of motility parameters, oxidative stress markers, and enzymatic activity under controlled conditions [22]. Leveraging these advantages, we employed C. elegans to investigate the detoxification potential of EEAT against PAT exposure, aiming to identify lead compounds for subsequent vertebrate studies.
In this study, UPLC-ESI-MS/MS provided comprehensive phytochemical profiling of EEAT. Quantitative analysis of nematode locomotion patterns and oxidative damage biomarkers served to evaluate PAT toxicity mitigation. Through both simulation assays and empirical validation, the detoxification efficacy of three key EEAT constituents was demonstrated. This research provides a sustainable and cost-effective strategy for mitigating mycotoxin toxicity by utilizing fungal fermentation-derived bioactive compounds.
2. Materials and Methods
2.1. Materials and Strains
The ATC fermentation powder was purchased from Zhejiang Esigma Biological Co., Ltd. (Haining, China). Caenorhabditis elegans wild-type N2 and Escherichia coli strain (OP50) were acquired from the Caenorhabditis Genetics Center (Minneapolis, MN, USA). The Penicillium expansum strain was obtained from the China Center for Microbiological Culture Collection (Beijing, China).
2.2. Equipment
The principal instrumentation employed in this investigation comprised a high-speed freezing centrifuge (Kecheng H2-16KR, Changsha, China), a vortexer (IKA Vortex 2, Staufen, Germany), a rotary evaporator (Bluepard RV-211A, Shanghai, China), a freeze-drying apparatus (SCIENTZ-10N/C, Ningbo, China), a multi-mode microplate reader (Allsheng Feyond-A300, Hangzhou, China), a shaking incubator (ChiChu ZQLY-180, Shanghai, China), biochemical incubators (Bluepard LRH-70, Shanghai, China), preparative liquid chromatography (Shimadzu LC-8A, Kyoto, Japan), a stereo microscope (Olympus SZ61, Tokyo, Japan), a fluorescence microscope (OLYMPUS IX73, Hamburg, Germany), a probe sonicator (Sonics VCX750, Newtown, CT, USA), and a UPLC-MS/MS platform (Thermo Fisher Scientific, Waltham, MA, USA).
2.3. Extraction of EEAT
The extraction process of EEAT was conducted following the methods reported by Wang et al. [23] with minor modifications. Briefly, the fermentation powder of A. terricola was sieved through a 0.25 mm mesh and extracted with anhydrous ethanol at a solid-to-liquid ratio of 1:10. The extraction was performed at 60 °C using 40 kHz ultrasonic treatment for 1 h. The supernatant was collected by centrifugation (3824× g, 15 min, 25 °C), and the extraction process was repeated twice. The combined supernatants were concentrated using rotary evaporation at 70 °C (50 rpm) and subsequently freeze-dried in a freeze-drying apparatus (–55 °C, 48 h) to obtain the solid powder.
The total phenolic content (TPC) of EEAT was determined using gallic acid as the standard, following a modified protocol based on Derakhshan et al. [24]. Briefly, 1 mL of EEAT (0.1 g in anhydrous ethanol) was mixed with 1 mL of Folin-Ciocalteu reagent and 3 mL of 20% (w/v) sodium carbonate solution. The mixture was incubated at 25 °C for 30 min, and the absorbance was measured at 765 nm. TPC was calculated using a gallic acid calibration curve and expressed as gallic acid equivalents (mg GAE)/g. The total flavonoid content (TFC) was quantified using rutin as the standard [25]. Specifically, 1 mL of EEAT (0.1 g in anhydrous ethanol) was mixed thoroughly with 0.3 mL of 5% sodium nitrite solution. After 5 min, 0.3 mL of 10% aluminum chloride (AlCl₃) solution was added, followed by 6 min of incubation. Then, 4 mL of 4% sodium hydroxide (NaOH) solution was added, and the mixture was allowed to stand for 15 min. The absorbance was measured at 510 nm, and TFC was expressed as rutin equivalents (mg RE/g).
2.4. Cultivation, Chunking, and Synchronization of C. elegans
2.4.1. Cultivation and Passaging of C. elegans
E. coli (OP50) solution was spread on prepared Nematode Growth Medium (NGM) plates and dried under sterile conditions. A small piece of NGM previously used for nematode culture was cut using a spatula sterilized with an alcohol burner. This piece was gently inverted and placed onto fresh NGM medium. The cultures were incubated at 22 °C for subculturing [26].
2.4.2. Synchronization of C. elegans
The nematodes containing eggs at the L4 stage were washed (425× g, 1 min, 22 °C) with K-medium solution (3 M KCl:5 M NaCl). After standing for 5 min, the supernatant was removed, and the nematodes were washed (425× g, 2 min, 22 °C) thrice with the K-medium solution. Then, 1 mL of nematode lysis solution (50 µg/mL 4% NaClO and 50 µg/mL 10 M NaOH) was added to the precipitated nematodes. The mixture was shaken on a vortexer to completely lyse the nematodes. The lysate was then centrifuged at 425× g for 3 min. The resulting precipitate contained the eggs. The eggs were thoroughly washed (425× g, 1 min, 22 °C) 3 times with K-medium solution and subsequently transferred to NGM medium supplemented with E. coli OP50 for further culturing, thereby achieving synchronization [26].
2.5. Preparation and Purification of PAT
P. expansum was inoculated into the prepared potato dextrose broth (PDB) at 25 °C for 7 days. An equal volume of ethyl acetate solution was added to extract PAT (1:1, vol:vol). The mixture was shaken at 150 rpm for 1 h, and the upper organic phase was separated with a separation funnel. The ethyl acetate was removed using a rotary evaporator maintained at 40 °C with a rotation speed of 50 rpm.
The residual was dissolved in a 10% methanol solution, filtered through a 0.22 μm organic filter membrane (Shimadzu, Japan), and purified by preparative liquid chromatography. Elution was performed on a Supersil ODS2 reversed-phase column (Elite, 10 × 250 mm, 5 μm, Dalian, China) with a mobile phase of methanol and 0.1% formic acid water (15:85, vol:vol) at a flow rate of 1.0 mL/min at room temperature. The detection wavelength was set to 276 nm [6]. The resulting powder was dissolved in ethyl acetate and stored at −20 °C.
2.6. Alleviating Effect of EEAT on PAT
Wild-type C. elegans (strain N2) were cultured on NGM plates seeded with E. coli OP50 at 20 °C. Synchronized L1-stage nematodes (n = 40 per dish) were divided into the following seven experimental groups: (1) Untreated control (Con); (2) Control treated with 1% DMSO (DMSO); (3) Exposure to 50 µg/mL PAT (PAT); (4) Combined treatment with 1% DMSO and 50 µg/mL PAT (DMSO + PAT); (5–7) Combined treatment with 50 µg/mL PAT and escalating concentrations of EEAT (25, 50, or 100 µg/mL) in 1% DMSO groups (EEAT + PAT). All treatments were conducted in K-medium for 48 h at 20 °C.
Locomotory behavior analysis was performed using a stereo microscope. Head swings (lateral cephalic movements per minute) and body bends (full-body sinusoidal waves per 20 s) were quantified for 15–20 randomly selected nematodes per replicate [27]. Three replicates were set up for each group, and experiments were repeated 3 times.
2.7. Fluorescent Staining
After synchronization, the nematodes at the L1 stage were exposed to experimental conditions, as described in Section 2.6, with the EEAT + PAT group receiving 25 µg/mL EEAT for 48 h. Subsequently, nematodes were stained with 10 µM 2′,7′-dichlorodihydrofluorescein diacetate (DCFH-DA) for ROS detection, 10 µM dihydroethidium (DHE) for O_2_^−^ generation measurement, and 40 µM naphthalene-2,3-dicarboxaldehyde (NDA) for glutathione quantification, respectively. Following 30 min of staining in darkness, nematodes were heat-inactivated (60 °C, 3 min). All samples were observed using a fluorescence microscope under the same conditions. The visual fluorescence intensity was measured by ImageJ v1.52a [10]. Three replicates were set up for each treatment group, and experiments were repeated 3 times.
2.8. Determination of Antioxidant Enzyme Activity
The grouping followed the method in Section 2.7. The nematodes were prepared by ultrasonic disruption for 10 min (100 W, ultrasound 2 s, and interval 2 s) in ice-cold PBS using a probe sonicator [28]. After centrifugation (12,000× g, 15 min, 4 °C), supernatants were analyzed for the protein concentration, superoxide dismutase (SOD), and glutathione S-transferase (GST) content according to the instructions of the commercial kits (Nanjing Jiancheng Biological Co., Ltd., Nanjing, China). Three replicates were set up for each treatment group, and experiments were repeated 3 times.
2.9. EEAT Full Component Analysis
For the analysis of all EEAT profiling, UPLC-MS/MS analysis was performed using a Hypersil GOLD aQ column (2.1 × 100 mm, 1.9 µm) on a Q Exactive HF system (Thermo Fisher Scientific, Waltham, MA, USA). The detection process was completed by Shenzhen BGI Co., Ltd. (Shenzhen, China). Compound Discoverer 3.1 (Thermo Fisher Scientific, Waltham, MA, USA) software was used for LC-MS/MS data processing, mainly for peak extraction, peak alignment, and compound identification. The condition of chromatography was as follows: mobile phase A was 0.1% formic acid in water, while mobile phase B was 0.1% formic acid in 100% acetonitrile. Gradient elution: 0–2 min: 95% A solution, 5% B solution; 2–22 min: from 95% to 5% A solution, from 5% to 95% B solution; 22–27 min: 5% A solution, 95% B solution; 27.1–30 min: 95% A solution, 5% B solution. The flow rate was 0.3 mL/min, the column temperature was kept at 40 °C, and the injection volume was 5 μL. Mass spectrometry conditions were carried out on a Q Exactive mass spectrometer (Thermo Fisher Scientific, Waltham, MA, USA) for primary and secondary mass spectrometry data acquisition. Metabolites with a confidence level of 1 were compounds confirmed by reference standards under identical analytical conditions.
2.10. Molecular Docking of EEAT Active Ingredients with Oxidative Stress Target Proteins
To simulate the mechanism of EEAT in improving oxidative stress, “Caenorhabditis elegans”, active ingredients of EEAT, and “antioxidant” were used as keywords. Nematode proteins with antioxidant regulatory functions as well as the capacity to respond to the active ingredients (also appearing in the EEAT component profile) were screened out through the literature retrieval and analysis. The metabolites with level 1 credibility of EEAT were used as ligand molecules, and nematode-related proteins were used as receptor macromolecules for molecular docking simulations.
The EETA ligand molecules were initially drawn using ChemDraw v22.0.0.22, followed by 3D structure construction and energy minimization (MM2) using Chem3D v22.0.0.22. The processed ligand molecules were saved in mol format. Protein crystal structures in pdb format were acquired from the RCSB Protein Data Bank (https://www.rcsb.org/, accessed 20 December 2024), while predicted structures for targets lacking experimental validation were retrieved from the AlphaFold Protein Structure Database (https://alphafold.ebi.ac.uk/, accessed 20 December 2024). Relevant protein accession numbers were cataloged in Section 3.5. Structural preparations were performed using AutoDock Tools v4.2.6 (https://autodock.scripps.edu/, accessed on 21 December 2024) under the default working directory, from which protein receptors were prepared by hydrogen addition and water molecule removal, and ligand compounds were parameterized by hydrogenation, followed by automated detection of rotatable bonds and torsional centers. All processed files were saved in pdbqt format, and the “Grid Box” parameters were determined (detailed in Table S1). Molecular docking simulations were conducted using AutoDock Vina v1.1.2 (https://vina.scripps.edu/, accessed 21 December 2024) with default parameters. Resultant binding poses were converted to pdb format via PyMOL v2.4 (https://www.pymol.org/, accessed 21 December 2024) and subjected to interaction analysis using the PLIP web platform (https://plip-tool.biotec.tu-dresden.de/, accessed 21 December 2024).
2.11. Experimental Validation of Docking Results
The control group (Con) and “PAT” group were cultured as described in Section 2.6. In the treatment groups, 50 µg/mL of PAT and three candidate compounds (coumarin, trigonelline, and succinic acid) at concentrations of 25, 50, and 100 µg/mL (dissolved in 1% DMSO) were added to the K-medium for 48 h. Head swing and body bending frequency were measured as described in Section 2.6.
The groups for fluorescent staining were designated as “Con”, “PAT” (50 µg/mL), “PAT + coumarin” (50 µg/mL PAT + 100 µg/mL coumarin), “PAT + trigonelline” (50 µg/mL PAT + 100 µg/mL trigonelline), and “PAT + succinic acid” (50 µg/mL PAT + 100 µg/mL succinic acid). Fluorescent staining was performed as described in Section 2.7. Three replicates were set up for each treatment group, and experiments were repeated 3 times.
2.12. Data Statistics and Analysis
Statistical analyses were conducted using GraphPad Prism v9.5. One-way analysis of variance analyses (ANOVA) with Tukey’s honest significant difference (Tukey’s HSD) test was employed to evaluate group differences, where statistical significance was established at p < 0.05.
3. Results
3.1. Alleviating Effects of EEAT on Locomotory Capacity Impairment Induced by PAT in C. elegans
As shown in Figure 1, the body bending and head swing frequency of the nematodes in the blank control group were 48.7 ± 0.6 and 122.3 ± 1.3, respectively. PAT exposure significantly reduced these metrics by 16% and 30%, respectively, indicating substantial neuromuscular toxicity.
Upon the application of EEAT in the PAT toxicity model, the decline in nematode locomotory capacity was significantly alleviated. Among the treatments with varying concentrations of EEAT, the body bending frequency was maximized at 25 µg/mL of EEAT, showing a 15% increase compared to the PAT group. The head swing frequency (112.2 ± 1.8) reached its highest value at 100 µg/mL of EEAT, a value not significantly different from the control group. Despite these, no significant differences were found in the alleviating effects of EEAT with different concentrations on PAT-induced toxicity. Notably, the solvent control (1% DMSO) exerted no significant effects on locomotion parameters in either untreated or PAT-exposed nematodes.
3.2. Alleviating Effects of EEAT on Oxidative Damage Induced by PAT in C. elegans
PAT-induced oxidative stress was evidenced by 2.2-fold and 2.1-fold increases in DCF (ROS) and DHE (O_2_^−^) fluorescence intensities, respectively (Figure 2A,B,D). In the treatment of PAT + EEAT, fluorescence intensity was significantly reduced, showing no significant difference compared to the control group.
The NDA fluorescence intensity of nematodes in the control group was strong, whereas it was significantly reduced in the PAT-treated group, indicating that PAT caused a reduction in GSH levels in the nematodes. In the PAT + EEAT treatment group, the green fluorescence intensity was restored to levels comparable to the control group, with no significant difference observed (Figure 2C,D). Consistent with previous observations, 1% DMSO showed no modulatory effects on redox biomarkers in either the control or PAT-treated groups.
3.3. Effects of EEAT on Antioxidant Enzyme Activity Inhibited by PAT in C. elegans
As shown in Figure 3, the SOD and GSH-ST enzyme activities in nematodes exposed to PAT were significantly reduced by 37.82% and 52.81%, respectively, compared to the control group. In the PAT + EEAT treatment group, the activities of SOD and GSH-ST were significantly improved by 63.1 and 90.1%, respectively, compared to the PAT group. The 1% DMSO solvent had no significant inhibitory effect on either SOD or GSH-ST enzyme activities, nor did it alleviate the inhibitory effects of PAT.
3.4. The Chemical Composition Analysis of EEAT
The contents of total phenols and total flavonoids in EEAT were 67.9 ± 1.2 mg GAE/g and 32.7 ± 0.7 mg RE/g, respectively. The UPLC-ESI-MS/MS analysis method was successfully applied to the analysis of chemical composition in the ethanol extract of ATC. In the negative ion mode (Figure S1A), a total of 4031 compounds were detected, of which 1496 were identified. Metabolites with a level 1 confidence were screened out as shown in Table 1, including 3 amino acids (lysine, proline, and leucine), 2 nucleosides (uracil and adenine), and 4 organic acids (succinic acid, shikimic acid, citric acid, and quinic acid). In the positive ion mode (Figure S1B), a total of 8228 compounds were detected. The same screening method as in the positive ion mode was used to screen out 16 compounds, including 4 amino acids (isoleucine, proline, phenylalanine, and L-norleucine), 2 nucleosides (guanine and adenine), 2 alkaloids (acetylcholine and trigonelline), 3 organic acids (2,2-dimethyl succinic acid, 4-guanidino butyric acid, and jasmonic acid), and 1 sugar alcohol (galactitol). In addition, D-fructose-1,6-diphosphate sodium, coumarin, cortisol, and bilirubin were also found (Table 2).
3.5. Docking of EEAT Active Ingredients and Target Proteins
Based on the literature retrieval and analysis results, coumarin, trigonelline, and succinic acid were selected as ligand small molecules. Meanwhile, 14 antioxidant-related proteins in C. elegans were chosen, including SKN-1, SOD-3, GST-4, HSP-1, DAF-16, HSF-1, DAF-2, AGE-1, GLP-1, AAK-2, ATFS-1, UBL-5, SIR-2.1, and EAT-2. Molecular docking results showed strong binding affinities (ranging from −3.3 to −7.0 kcal/mol) between 3 ligands and 14 receptors (Table 3). Notably, coumarin and succinic acid exhibited the strongest binding affinity for the SIR-2.1 protein, while trigonelline showed the strongest binding to the DAF-2 protein. Structural visualization of these three ligand-receptor systems elucidated their distinct interaction patterns (Figure 4).
As detailed in Figure 4A, trigonelline establishes an ionic interaction with His259 of DAF-2 at a bond distance of 3.4 Å. Concurrently, hydrophobic interactions are observed between ligands with Ile309 (3.7 Å) and Phe503 (3.6 Å). The binding energy shift is partially attributed to entropic gains from desolvation-driven water displacement during complex formation. These synergistic non-covalent forces markedly improve trigonelline-DAF-2 binding affinity through energetic stabilization and reduced binding free energy, ultimately yielding a stable complex. In Figure 4B, coumarin forms ionic bonds with residues Arg166 (5.0 Å) and His255 (5.2 Å) of protein SIR2.1. The ligand engages in π-π stacking interactions with Phe165 (3.8 Å, parallel conformation) and Phe189 (4.7 Å, T-shaped conformation) [29]. Additionally, ionic bonds are formed with Phe165 (4.0 Å) and Ile239 (3.5 Å). These interactions not only strengthen the binding stability between coumarin and SIR2.1 but also contribute to maintaining the protein’s structural integrity. As demonstrated in Figure 4C, succinic acid forms an ionic bond with residue Arg166 of SIR2.1 at 4.4 Å and hydrophobic interactions with Ala154 (4.0 Å). Hydrogen bonds are formed between ligands and residues Ala154 (3.0 Å), Gly155 (3.5 Å), Gln237 (4.0 Å), Ser328 (2.7 Å), Ser329 (2.9 Å), and Leu330 (3.4 Å). Based on hydrogen bond length criteria [30], moderate hydrogen bonds (2.5–3.2 Å) were observed between ligands and residues Ser328 (2.7 Å), Ser329 (2.9 Å), and Ala154 (3.0 Å). Weak hydrogen bonds (>3.2 Å) were observed between ligands and residues Leu330 (3.4 Å), Gly155 (3.5 Å), and Gln237 (4.0 Å). It is noteworthy that all hydrogen bond angles fall within normal ranges [31], thus validating the reliability of the docking process. Collectively, these interactions ensure tight binding between succinic acid and SIR2.1, thereby forming a stable complex.
3.6. Verification of Molecular Docking Results
Since coumarin, trigonelline, and succinic acid showed promising binding affinities to antioxidant-related proteins in docking simulation, the alleviating effects of which were further evaluated by determining rescue of locomotion parameters (Figure 5) and oxidative damage levels (Figure 6). In the 25 µg/mL coumarin treatment group, the frequency of body bends and head swings in nematodes increased compared to the PAT-treated group. The trigonelline group showed a dose-dependent effect in alleviating PAT toxicity, with higher concentrations resulting in more pronounced protective effects. At 100 µg/mL, the number of body bends and head swings were comparable to those in the blank control group. In contrast, the succinic acid treatment group showed limited effectiveness in alleviating PAT toxicity, as the frequency of body bends and head swings was not significantly different from that of the PAT-treated group. These results indicate that coumarin and trigonelline provided some protective effects against PAT-induced motility impairments, whereas succinic acid showed limited efficacy.
After treatment with succinic acid, trigonelline, and coumarin, the fluorescence intensities of the DCF and DHE probes were significantly reduced compared to the PAT-treated group (Figure 6A,B,D). Moreover, the fluorescence intensity of the NDA probe was significantly restored in all three treatment groups, showing a 1.90-, 1.88-, and 1.92-fold increase compared to the PAT-only treatment group, respectively (Figure 6D). These results suggest that these 3 compounds effectively protected the nematodes from PAT-induced oxidative stress.
These findings demonstrated that three compounds showing strong binding affinities in molecular docking simulations, especially coumarin and trigonelline, effectively alleviated PAT-induced toxicity in C. elegans. This mechanistic alignment validates that ligand-receptor binding energetics dictate antioxidant functionality in C. elegans.
4. Discussion
As a potent foodborne mycotoxin, PAT contamination poses significant health risks to both humans and livestock through dietary exposure. The primary toxicological mechanism involves PAT’s electrophilic properties, enabling covalent conjugation with cellular thiol groups in glutathione (GSH), cysteine, and thioglycolate [8]. This thiol depletion disrupts redox homeostasis, triggering excessive ROS generation [32]. Subsequent oxidative stress arises from the disruption of pro-oxidant/antioxidant equilibrium, exacerbating lipid peroxidation of polyunsaturated fatty acids and oxidative DNA modifications [9]. These molecular perturbations manifest as cellular dysfunction, ultimately contributing to systemic toxicity.
Current research emphasizes the prophylactic potential of phytochemical interventions against mycotoxin-induced oxidative damage. Natural compounds demonstrate dual mechanisms of action: ROS scavenging and upregulation of endogenous antioxidant defenses. For example, curcumin demonstrates protective effects against aflatoxin toxicity through modulation of the TLR1/RIPK signaling pathway, attenuation of oxidative stress biomarkers, and suppression of inflammatory cytokine production in avian hepatic tissues [14]. Similarly, anthocyanin supplementation has been shown to ameliorate zearalenone-induced hepatic oxidative stress in murine models by enhancing SOD and CAT activities [33]. Consistent with these findings, this study revealed that EEAT effectively mitigated PAT-induced oxidative damage (Figure 2) and enhanced SOD and GSH-ST enzyme activities (Figure 3), which contributed to the alleviation of C. elegans locomotory impairments (Figure 1).
A. terricola is a fungal species originally isolated from Cordyceps gunnii, and its fermentation products exhibit compositional parallels with those of the latter. As a microbial derivative widely utilized in animal feed, ATC has been shown to exhibit immunomodulatory and antioxidant properties across diverse animal models [18]. For instance, in a lipopolysaccharide (LPS)-induced mastitis rat model, ATC mitigated oxidative stress and inflammatory injury through suppression of the MAPK signaling pathway. This intervention significantly reduced levels of pro-inflammatory cytokines (TNF-α and IL-6) while concurrently elevating the activity of antioxidant enzymes, including SOD and GSH-Px [20]. Comparable effects were observed in weaned piglets and dairy cows, where ATC administration enhanced systemic redox balance by boosting antioxidant enzyme activities (T-AOC and CAT) and reducing malondialdehyde (MDA) accumulation [18,19]. Nevertheless, the molecular mechanisms underpinning ATC’s antioxidant effects remain incompletely elucidated, primarily due to insufficient characterization of its bioactive components and their interactions with cellular targets.
Traditional Chinese medicine (TCM) often relies on synergistic actions among multiple constituents and biological pathways. Recent advances in network pharmacology, particularly virtual docking-based approaches, have established the “component-target-disease” paradigm as a robust strategy for deciphering the mechanistic basis of herbal therapeutics [34,35]. Applying this framework, combined with metabolite profiling and molecular docking, could systematically unravel how EEAT counteracts PAT toxicity. As an efficient approach, UPLC-ESI-MS/MS analyses [36] were employed and have identified a spectrum of bioactive compounds in EEAT, such as succinic acid, coumarin derivatives, trigonelline, citric acid, jasmonic acid, and shikimic acid (Table 1 and Table 2). Contemporary pharmacological studies highlight the therapeutic potential of coumarin derivatives in oxidative stress-related pathologies through rational structural optimization [37,38]. Shikimic acid derivatives exhibit dual anti-inflammatory and antioxidant activities via modulation of AKT/Nrf2 and NF-κB signaling pathways [39,40]. Furthermore, citric acid demonstrates cytoprotective effects through antioxidant enzyme induction and immunomodulatory activity at the cellular level [41]. These identified compounds collectively contribute to the observed antioxidant capacity of EEAT.
Molecular docking analysis revealed strong binding affinities between EEAT components (coumarin, trigonelline, and succinic acid) and key nematode longevity regulators SIR-2.1 (−7.0 to −5.2 kcal/mol) and DAF-2 (−6.6 to −5.5 kcal/mol) (Figure 4, Table 3). SIR-2.1 modulates redox homeostasis through phase-dependent regulation of antioxidant gene expression [42,43,44], while DAF-2, the insulin/IGF-1 receptor homolog, critically regulates oxidative stress responses [45]. This aligns with previous findings that L. plantarum and S. cerevisiae mitigate PAT toxicity in C. elegans via IGF-1 pathway activation and antioxidant gene upregulation (e.g., sod-3, spp-2, and lys-2) [10,11]. Based on these findings, our results suggest that the major bioactive compounds in EEAT mitigate PAT toxicity by targeting key proteins involved in antioxidant-related pathways in C. elegans. To confirm this mechanism, future studies could test whether mutating specific binding sites in these proteins (e.g., key amino acids predicted by docking analysis) reduces toxicity alleviation effects. Such experiments would directly link molecular interactions to functional outcomes.
5. Conclusions
This study elucidates that PAT exposure induces oxidative stress-mediated neuromuscular dysfunction in C. elegans, characterized by 16% and 30% reductions in body bending and head swing frequencies, respectively. EEAT administration potently counteracted these toxic manifestations, normalizing motility parameters to control-equivalent levels while abolishing PAT-triggered ROS and O_2_^−^ (2.2- and 2.1-fold elevations). Concurrently, EEAT restored PAT-compromised antioxidant defenses, rescuing SOD and GSH-ST activities by 63.1% and 90.1% to near-homeostatic ranges. Molecular docking and experimental validation identified coumarin and trigonelline as pivotal bioactive constituents in EEAT, exhibiting strong binding affinities with antioxidant regulators SIR-2.1 and DAF-2. These findings contribute to the expanding knowledge of Cordyceps fungi and their potential applications in toxin mitigation and antioxidant research.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Puel O. Galtier P. Oswald I.P. Biosynthesis and Toxicological Effects of Patulin Toxins 2010261363110.3390/toxins 204061322069602 PMC 3153204 · doi ↗ · pubmed ↗
- 2Ioi J.D. Zhou T. Tsao R. Marcone F.M. Mitigation of Patulin in Fresh and Processed Foods and Beverages Toxins 2017915710.3390/toxins 905015728492465 PMC 5450705 · doi ↗ · pubmed ↗
- 3Moake M.M. Padilla-Zakour O.I. Worobo R.W. Comprehensive Review of Patulin Control Methods in Foods Compr. Rev. Food Sci. Food Saf.2005482110.1111/j.1541-4337.2005.tb 00068.x 33430570 · doi ↗ · pubmed ↗
- 4Iqbal S. Akbar M. Razis A.F.A. Waqas M. Assessment of patulin in different cultivars of apples, juices, and distribution in decay portion Int. J. Environ. Anal. Chem.20221043866387610.1080/03067319.2022.2095511 · doi ↗
- 5Saleh I. Goktepe I. The characteristics, occurrence, and toxicological effects of patulin Food Chem. Toxicol.201912930131110.1016/j.fct.2019.04.03631029720 · doi ↗ · pubmed ↗
- 6Zhu R.Y. Lin H.Y. Shan S. Mei G. Pan H. Zhao C.Y. Wang T.J. Chen D. Long-term investigation and analysis of patulin occurrence in juice products in China Int. J. Food Sci. Technol.2024595551555910.1111/ijfs.17278 · doi ↗
- 7Mahato D. Kamle M. Sharma B. Pandhi S. Devi S. Dhawan K. Selvakumar R. Mishra D. Kumar A. Arora S. Patulin in food: A mycotoxin concern for human health and its management strategies Toxicon 2021198122310.1016/j.toxicon.2021.04.02733933519 · doi ↗ · pubmed ↗
- 8Glaser N. Stopper H. Patulin: Mechanism of genotoxicity Food Chem. Toxicol.2012501796180110.1016/j.fct.2012.02.09622425938 · doi ↗ · pubmed ↗
