ABSTRACT
Huitlacoche (Ustilago maydis) is a popular and widely consumed edible fungus that infects corn, inducing gall formation rich in phenolic compounds. During consumption, huitlacoche‐based phenolic compounds are affected by gastrointestinal conditions, thereby altering their bioaccessibility and, in turn, their prebiotic and chemopreventive potential. This study investigated the in vitro chemopreventive effects of cooked huitlacoche on human colon cancer cells (HT‐29) and its prebiotic potential. Cooked huitlacoche underwent in vitro gastrointestinal digestion, followed by colonic fermentation, to evaluate the bioaccessibility of phenolic compounds and antioxidant capacity at each stage. The prebiotic potential was monitored by Lactobacillus gasseri growth in the presence of the nondigestible fraction of huitlacoche (NDF‐H). Additionally, the chemopreventive effect of the colonic fermentation extract of huitlacoche (FE‐H) was evaluated on HT‐29 colon cancer cells. The cooking process increased (p < 0.05) total dietary fiber (+9.60%) while reducing other micronutrients. The concentrations of selected phenolic compounds increase during the gastric phase (benzoic acid: 265‐fold; and 4‐hydroxybenzoic acid: 19.13‐fold). During in vitro human‐gut colonic fermentation, acetic, propionic, and butyric acids were detected (up to 3.06–7.08 mmol/L). FE‐H induced cytotoxic effects in HT‐29 cells (LC50: 33.34% v/v) due to necrosis and caspase‐3/7 activation, without being cytotoxic in human non‐tumoral Hs 738 St./int. Moreover, digested huitlacoche promoted L. gasseri growth. Overall, cooked huitlacoche components are bioaccessible during in vitro gastrointestinal digestion and suggest chemopreventive and prebiotic potential.
Practical Applications
The consumption of cooked huitlacoche may have beneficial effects, supporting its classification as a functional food with chemopreventive and prebiotic properties. These properties stem from the dietary fiber content and antioxidant compounds.
Keywords: colon cancer, huitlacoche (Ustilago maydis), in vitro gastrointestinal digestion, prebiotics, short‐chain fatty acids (SCFAs)
Abbreviations
- 4‐DiHBenz
4‐hydroxybenzoic acid
- Acetic
acetic acid
- ANOVA
analysis of variance
- ATCC
American Type Cell Culture Collection
- Benz
benzoic acid
- Buty
butyric acid
- CE
(+)‐catechin equivalents
- CTs
condensed tannins
- DF
digestible fraction
- DiHBenz
dihydroxybenzoic acid
- DMEM
Dulbecco's modified Eagle's medium
- DPPH
1,1‐diphenyl‐2‐picrylhydrazyl
- Epic
epicatechin
- FBS
fetal bovine serum
- FE‐H
colonic fermentation extract of huitlacoche (Ustilago maydis)
- FRAP
ferric reducing antioxidant power
- GAE
gallic acid equivalents
- Gal
gallic acid
- HEPES
10 mM 4‐(2‐hydroxyethyl‐1‐piperazineethanesulfonic acid
- HPLC–DAD
high‐performance liquid chromatography coupled to a diode array detector
- IDF
insoluble dietary fiber
- LC50
half‐lethal concentration
- LC50‐FE‐H
the 48 h‐half‐lethal concentration of the fermented extract of huitlacoche (Ustilago maydis)
- LDH
lactate dehydrogenase
- LS‐NDF
1% solid + liquid NDF
- MRC
maximum release control (for LDH assay)
- MTT
3‐(4,5‐dimethylthiazol‐2‐yl)‐2,5‐diphenyltetrazolium bromide
- NDF‐H
nondigestible fraction of huitlacoche
- NDH
non‐digested huitlacoche (raw)
- OD
optical density
- PC
principal component
- PCA
principal components analysis
- PI
propidium iodide
- Prop
propionic acid
- RE
rutin equivalents
- ROS
reactive oxygen species
- SCFAs
short‐chain fatty acids
- SDF
soluble dietary fiber
- TDF
total dietary fiber
- TE
Trolox equivalents
- TF
total flavonoids
- TPC
total phenolic compounds
1. Introduction
Huitlacoche (Ustilago maydis) is a fungus that infects corn by forming galls in cobs, stems, and leaves. Even though huitlacoche has been valued as an edible mushroom since pre‐Hispanic times, it has recently gained international attention (Villagran et al. 2023). Huitlacoche contains bioactive compounds that can enhance its nutraceutical potential and culinary relevance. Those compounds include polyphenols, dietary fiber, amino acids, essential fatty acids (arachidic, oleic, palmitoleic, oleic, linolenic, palmitic, 11‐eicosenoic, linoleic, among others), and additional compounds (ustilipid A, sesquiterpenoids, ergothioneine, ustilagol A, and ustilagomaydisin B) that exert antioxidant, immunoregulatory, anticancer, and prebiotic properties (Aydoğdu and Gölükçü 2017; Villagran et al. 2023). Regarding polyphenolic compounds, ferulic acid is one of the major compounds (54.4 mg/100 g), followed by quercetin (4.5 mg/100 g) (Valdez‐Morales et al. 2016). Other relevant compounds found in U. maydis include phytosterols, particularly campesterol‐3‐glucoside, Δ7‐stigmasterol, Δ7‐avenasterol, and ergosterol, which are known for their lipid‐lowering and antioxidant properties. Additionally, ustilagomaydisin, ergothioneine, sesquiterpenes, and ustilipids have been tested under pharmacology‐relevant conditions, with ustilagomaydisins A–C demonstrating cytotoxic activity against multidrug‐resistant leukemia cells and showing dose‐dependent antimicrobial activity (Wang et al. 2014).
Collective evidence suggests that many of the bioactive compounds found in U. maydis can reduce the risk of colon cancer, which is the third most common cancer and the second leading cause of cancer‐related deaths worldwide (Half and Arber 2009; Ma et al. 2018; Zhao et al. 2018). As incidence and mortality are rapidly increasing in Mexico, as in other Latin American countries, with a 48% increase from 1990 to 2020 (Andrade‐Meza et al. 2023), there is an urgent need for additional research investigating factors, including diet, that contribute to reducing colon cancer risk. However, it has been found that these components must be bioaccessible and reach the tissue of interest to exert health effects. Studies on the bioaccessibility of huitlacoche bioactive compounds are limited, and only raw ethanolic extracts have been evaluated, showing that the bioaccessibility of total phenolic compounds and antioxidant capacity are maintained and increased during digestion; however, the colonic step has not been included (López‐Martínez et al. 2022). As huitlacoche is primarily consumed cooked, health effects assessments should be conducted on ready‐to‐eat material. Furthermore, cooking affects the chemical and nutraceutical content of huitlacoche (Valdes‐Morales et al. 2010).
A new approach to improve gut health and prevent noncommunicable diseases (NCDs) is the growing recognition of edible mushrooms as a rich source of prebiotic polysaccharides (Ayimbila and Kaewsompong 2025). Evidence for huitlacoche effects on the colon is limited, including modulation of the microbiota and anticancer effects; however, the polysaccharide content of huitlacoche (up to 60 g/100 g of dietary fiber) may reverse microbiota dysbiosis (Israel et al. 2025) and act as a prebiotic. Prebiotic components are of particular interest in colon cancer prevention. According to Gibson and Rastall (2006), for a food or ingredient to be classified as a prebiotic, it must meet the following specific criteria: (1) resist digestion, enzymatic hydrolysis, and gastrointestinal absorption; (2) be fermentable by colonic bacteria; and (3) selectively stimulate the growth and activity of probiotic bacteria (Carlson et al. 2018), such as Lactobacillus and Bifidobacteria, while promoting gut health by maintaining eubiosis in the gut microbiota (Davani‐Davari et al. 2019; Roberfroid 2007). Lactobacillus gasseri is a human‐sourced lactic acid bacterium of interest in food and health; it has probiotic effects, including promoting vaginal health and gastrointestinal homeostasis, treating obesity, regulating immunity, and displaying antioxidant activity (Huang et al. 2025).
Huitlacoche contains β‐glucans (20–100 mg/100 g), a group of compounds with prebiotic properties (Villagran et al. 2023) that promote the synthesis of short‐chain fatty acids (SCFAs) and support colon cancer prevention; however, studies on SCFAs production from huitlacoche are scarce. β‐Glucans modulate colonic microbiota, promoting Roseburia, Bifidobacterium, Bacteroidota increases, among others, linked to increased SCFAs concentrations, especially butyrate, compounds presumably responsible for their colon cancer protection by increasing apoptosis of tumor cells (Shoukat and Sorrentino 2021). Therefore, huitlacoche may have chemopreventive effects; however, other compounds in huitlacoche, such as phenolic compounds and components of its dietary fiber, may also exhibit these effects and warrant further study.
Given that huitlacoche is an edible mushroom endemic to Mexico with potential functional health properties, this study evaluated its in vitro prebiotic and chemopreventive potential in human HT‐29 colon cancer cells after its bioactive compounds reach the colonic stage of digestion.
2. Materials and Methods
2.1. Plant Material
Huitlacoche was obtained from a local producer in Santiago de Querétaro (Mexico). It was harvested 20 days after inoculation of white maize (variety 75–73). The material was washed and divided into two parts: raw and cooked. Samples were slow‐cooked for 15 min at about 65°C, simulating the preparation process for consumption across different regions of the country (Valdez‐Morales et al. 2010). The raw and cooked samples were dehydrated using forced‐air drying for 10 h at 55°C (IN 450, Natural Convection Incubator, Memmert, Germany). Samples were ground to a particle size of 0.5 mm and stored in the dark.
2.2. Chemical and Nutraceutical Characterization
The chemical composition of huitlacoche was determined according to the AOAC (2002) methodology: moisture (925.23), ash (945.46), fat (920.39), and protein (920.15). Carbohydrates were calculated by difference. Total dietary fiber (TDF), soluble dietary fiber (SDF), and insoluble dietary fiber (IDF) were determined by an enzymatic‐gravimetric assay described by Shiga et al. (2003) and following the reported 991.43 method from AOAC.
Phenolic compounds were extracted according to the methodology proposed by Domínguez‐Hernández et al. (2022). The samples were extracted with 80% v/v methanol (50 mg in 800 µL) under constant stirring for 15 min, followed by centrifugation (3500 × g for 10 min at 4°C) (323 K centrifuge, Hermle Labortechnik GmbH, Wehingen, Germany). The supernatant was separated from the precipitate to obtain the free phenolic compounds. The pellet was mixed with 500 µL of 2 M NaOH, incubated (90°C for 1 h), and then adjusted to pH 2 with 2 M HCl. The bound phenolic compounds were recovered in 600 µL ethyl acetate (250 rpm for 10 min at 25°C). The organic phase was separated, rinsed twice, and evaporated for 24 h at room temperature to resuspend the bound phenolic compounds in methanol.
Total phenolics were quantified according to the method of Singleton et al. (1999) for free and bound fractions and are expressed as mg gallic acid equivalents/g sample (mg GAE/g). Total flavonoids were determined by the modified microplate spectrophotometric assay as described by Oomah et al. (2005) using a microplate spectrophotometer (MultiSkan Go, ThermoScientific, Waltham, MA, USA) and expressed as mg rutin equivalents per g sample (mg RE/g). Condensed tannins (CTs) were quantified according to Feregrino‐Pérez et al. (2008) and expressed as mg of (+)‐catechin equivalents/g sample (mg CE/g).
2.3. Identification and Quantification of Free and Bound Phenolic Compounds by High‐Performance Liquid Chromatography Coupled to a Diode Array Detector (HPLC–DAD)
Previous extracts (free and bound phenolic compounds) were subjected to HPLC–DAD on an Agilent 1100 series HPLC instrument (Agilent Technologies, Palo Alto, CA, USA) according to the methodology described by Sánchez‐Quezada et al. (2023). A Zorbax Eclipse XDB‐C18 column (Agilent Technologies, 4.6 × 250 mm, 5 µm of granule size) was used. The column temperature was controlled by a thermostat at 35°C ± 0.6°C, with a flow rate of 1 mL/min. The mobile phase consisted of two solvents: (1) HPLC‐grade water adjusted to 0.1% acetic acid, and (2) 100% acetonitrile. A linear gradient was used as follows: 80%–83% A for 7 min, 83%–60% A for 5 min, 60%–50% A for 1 min, and finally 50%–85% A for 2 min. Detection was performed at 280 and 320 nm (for phenolic acids and flavonoids) with a 1 s acquisition speed. A 20 µL volume was injected, and samples were analyzed in triplicate. Quantification was performed using the external standard method with commercial standards of (+)‐catechin, rutin, and quercetin as representative flavonoids and chlorogenic, caffeic, p‐coumaric, ferulic, and gallic as representative phenolic acids (Figure S1).
2.4. Antioxidant Capacity Measurement by the 1,1‐Diphenyl‐2‐Picrylhydrazyl (DPPH) and the Ferric Reducing Antioxidant Power (FRAP) Methods
Antioxidant capacity was measured using the stable DPPH radical, following the method proposed by Fukumoto and Mazza (2000). The FRAP method was performed as described by Benzie and Strain (1996). Antioxidant capacity results were expressed as micromoles of Trolox equivalents per gram of the sample (µmol Trolox/g).
2.5. In Vitro Gastrointestinal Digestion
Gastrointestinal digestion was simulated in vitro using cooked huitlacoche, following the methodology of Campos‐Vega et al. (2015) with modifications, which resembles the standardized INFOGEST 2.0 method (Brodkorb et al. 2019) but includes separation of the digestible (DF) and nondigestible (NDF) fractions.
For the oral phase, four healthy volunteers were recruited. The participants (four females, aged 24–35) fasted for at least 90 min, sipped 5 mL of purified water, and performed a 30 s mouth rinse. The collected saliva was mixed. Saliva solution (10 mL) was mixed with huitlacoche sample (1 g) and incubated (2 min at 37°C). The oral phase solution was submitted to the gastric phase using 8 mL of the following gastric secretion: KCl, KH2PO4, NaHCO3, MgCl2(H20)6, (NH4)2CO3, NaCl, 0.005 mL CaCl2·2(H2O)2, pepsin (0.055 g dissolved in 0.94 mL 20 mM HCl) (≥2500 U/mg, Sigma‐Aldrich, St. Louis, MO, USA), and 0.535 mL distilled water. Additionally, 60 µL of 120 U/mL gastric lipase 1000 U/mg, Sigma‐Aldrich) was added to the solution. The gastric phase was adjusted to pH 2 with HCl (2 M), vortexed, and incubated under continuous stirring for 2 h at 37°C (Campos‐Vega et al. 2015; Brodkorb et al. 2019).
For the intestinal stage, 5 mL of Krebs‐Ringer buffer [118 mM NaCl, 4.7 mM KCl, 1.2 mM MgSO4, 1.2 mM KH2PO4, 25 mM NaHCO3, 11 mM glucose, and 2.5 mM CaCl2, pH 6] was prepared and used to dissolve 3 mg bovine bile (Oxgall dehydrated fresh bile, Becton Dickinson, Franklin Lakes, NJ, USA) and 2.6 mg of pancreatin (8×USP, Sigma‐Alrich), and this mix was added to the resulting gastric phase solution. Additionally, a 7‐cm nitrocellulose membrane bag, knotted on both sides, containing 5 mL of the Krebs‐Ringer solution, was added to each tube, and the tubes were incubated at 37°C for 60 min. At the end of the incubation, the fraction outside the membrane bag was collected and named the NDF of huitlacoche (NDF‐H), and the fraction inside the membrane bag was named the DF.
2.6. In Vitro Colonic Fermentation
The effects of NDF in the colon were estimated using the human gut microbiota fermentation method proposed by Campos‐Vega et al. (2009). Fresh fecal samples were collected from a healthy female donor (aged 24 years, approximately 60 kg). The donor had no history of intestinal disease and had not received any antibiotics in the past 3 months. Fecal samples (3 g) were vortexed for 2 min with 27 mL of PBS buffer (NaH2PO4 0.05 M and Na2HPO4 0.05 M), pH 7. A culture medium was prepared (9 mL per tube) and mixed with 1 mL of fecal solution, 250 mg of solid NDF, and 250 µL of liquid NDF. Samples, a positive control (100 mg raffinose) (R0514, Sigma Aldrich), and a negative control (intestinal solution) were incubated for 24 h at 37°C. An aliquot was collected every 6 h for pH measurement and the following assays.
For the assays involving human subjects, all participants provided written consent, which included a written protocol where participants were informed about what was needed from them (saliva and fecal samples), how their data was going to be stored and processed, who would have access to the data, and the possibility of using this data for research purposes, including the publication of a research manuscript. The study and the protocol design were approved by the Universidad Autónoma de Querétaro Human Research Internal Committee (CBQ23/061) and complied with the ethical principles of the Declaration of Helsinki.
2.7. Bioaccessibility Measurement
The bioaccessibility of phenolic compounds during in vitro gastrointestinal digestion and colonic fermentation simulation was determined using the formula (D'Antuono et al. 2015):
where B indicates the bioaccessibility percentage of polyphenols, C 0 is the concentration value of the undigested sample, and Cf is the final concentration of the compound after a certain incubation period.
2.8. SCFAs Quantification in Colonic Fermentation
SCFAs were extracted following the Díaz‐Corona et al. (2023) method. Briefly, 500 µL of K2HPO4 buffer (20 mM, pH 2) and 500 µL of methanol were added to 1 mL of colonic fermented extract of huitlacoche (FE‐H), and the mixture was incubated for 10 min. Solutions were transferred to vials suitable for HPLC assays.
Chromatographic analysis was performed on an Agilent 1100 series HPLC instrument (Agilent Technologies, Palo Alto, CA, USA) following the method of Díaz‐Corona et al. (2023) with slight modifications. A Polaris 5 column (C18‐A, 150 × 4.6 mm) was used at 40°C and a 15‐min elution gradient with acidified water mobile phase (H2SO4 0.1%). The mobile phase consisted of 5 mM sulfuric acid (Solvent A) and acetonitrile (Solvent B), with the following gradient elution program: 0–4 min: 100% A and 0% B, 4–4.20 min: 98% A and 2% B, 4.2–11.9 min: 98% A and 2% B, 11.9–15 min: return to 100% A and 0% B.
A sample (20 µL) was injected, and the UV–VIS absorbance was measured at 210 nm using a diode array detector (DAD). For SCFAs identification and quantification, calibration curves (0–500 mmol/L) were generated using formic, propionic, acetic, and butyric acid standards (cat. 06547, cat. 94425, cat. 1005706, cat. 19215, Sigma‐Aldrich, USA) (Figure S2). As the fermented extract from huitlacoche after 24 h of fermentation (FE‐H) contained the highest levels of total phenolic compounds and SCFAs, this extract was used for the cell assays.
2.9. Cell Assays
2.9.1. HT‐29 and Hs 738 St./Int Cell Culture
Human HT‐29 cells (American Type Cell Culture Collection, ATCC) (ATCC HTB‐38) (passage: 18) were handled in a biosafety chamber where they were cultured in Dulbecco's modified Eagle's medium (DMEM) (ATCC) supplemented with heat‐inactivated fetal bovine serum (FBS) (10%, Gibco, Grand Island, NY), 1% v/v antibiotics‐antimycotics (100×, Gibco), and sodium bicarbonate (2.2 g/L, Sigma‐Aldrich). As a non‐tumoral control cell line, human Hs 738 St./Int (ATCC CRL‐7869) fibroblasts from the stomach/intestine were used (passage: 3). The cells were cultured using DMEM (Sigma‐Aldrich) supplemented with 10% FBS, 1% antibiotics‐antimycotics (100×, Gibco), 0.11 g/L sodium pyruvate (Sigma‐Aldrich), 3.7 g/L sodium bicarbonate (Sigma‐Aldrich), and 10 mM 4‐(2‐hydroxyethyl)‐1‐piperazineethanesulfonic acid (HEPES, Sigma‐Aldrich).
The culture medium was replaced with fresh medium every second (Hs t38 St./Int) or third day (HT‐29) until confluence (80%) was reached. The cells were maintained in a humidified 5% CO2 atmosphere at 37°C in an incubator with automatic gas chambers (Forma Series II Water‐Jacketed CO2 Incubator, Thermo Scientific, USA).
2.9.2. Evaluation of the Cytotoxic Effect of the Fermented Extract From the NDF of Huitlacoche (FE‐H) on HT‐29 and Hs 738 St./Int Cells by the MTT Assay
HT‐29 cells were seeded in 96‐well plates (3 × 104 cells/well) in DMEM culture medium (ATCC) supplemented with FBS (10%) and antibiotic–antimycotic (1%). After 24 h of incubation, the medium was replaced with DMEM supplemented with 2% FBS and containing different concentrations (6%–50%) of the FE‐H (obtained after 24 h fermentation of NDF‐H) (100 µL/well), previously sterilized by filtration using 0.20 µm sterile syringe filters (Merck, Rahway, NJ, USA), and incubated for a further 24 or 48 h.
For the Hs 738 St./Int cells, only the 48 h‐LC50 (half‐lethal concentration) FE‐H dose, obtained from the HT‐29 assays, was tested (Figure S3). Cytotoxicity was analyzed using the 3‐(4,5‐dimethylthiazol‐2‐yl)‐2,5‐diphenyltetrazolium bromide (MTT) assay (Invitrogen). The medium was removed, and a filtered MTT/PBS solution (0.5 mg MTT/mL; 200 µL/well) was added to each well prior to cell incubation (37°C, 1 h). The MTT/PBS solution was removed, and the insoluble MTT formazan crystals were dissolved in DMSO at room temperature. Finally, the absorbance of the whole microplate was measured at 595 nm using a microplate spectrophotometer (MultiSkan Go, Thermo Scientific, USA), and LC50 was determined by plotting the growth inhibition rate. The negative control corresponded to untreated cells, whereas the positive control was a mild 50 µM H2O2 treatment to avoid excessive cell death. The blank of the 24 h fermentation of NDF‐H and the lysis buffer used for the Caspase 3/7 and lactate dehydrogenase (LDH) assays were also tested.
2.9.3. Impact of Treatments on LDH Activity
LDH activity was measured using an LDH Cytotoxicity Detection Kit (11644793001, Roche, Basel, Switzerland) according to the manufacturer's instructions. Briefly, cells were seeded for the MTT assay (3 × 104 cells/well) and treated for 48 h with LC50‐FE‐H (33.34% v/v, 200 µL/well). Then, 30 min before the 48‐h limit, selected wells (4 wells) were treated with a commercial lysis buffer (Invitrogen, Thermo Fisher Scientific), containing 75 µL Tris, pH 7.5, 2 M NaCl, 20 mM ethylenediaminetetraacetic acid, and 0.2% TRITON X‐100 per 1 mL of lysis buffer. Then, 150 µL of the cells’ supernatant was transferred to sterile test tubes and centrifuged (250 × g) to separate the cells’ debris, and 100 µL of the supernatant was transferred to a clear 96‐well plate. Afterward, 100 µL of a previously prepared LDH assay kit solution was added to each well, and the wells were incubated for 30 min. The absorbance was measured in a microplate reader at 492 nm, and the results were expressed as a percentage of the negative control. Untreated cells (2% FBS–DMEM) were considered the negative control, whereas cells treated with 50 µM H2O2 were considered the positive control. The blank of the fermentation was also evaluated, using the same concentration as in LC50‐FE‐H (33.34% v/v).
2.9.4. Assessment of Caspase 3/7 Activity
The EnzCheck Caspase‐3 Assay kit #2 (Invitrogen, Thermo Fisher Scientific) was used to assess apoptosis by quantifying caspase‐3 and other Asp‐Glu‐Val‐Asp (DEVD)‐specific protease activities, such as caspase‐7, in cells exposed to the LC50‐FE‐H, following the manufacturer's conditions and slight modifications to obtain enough cell protein to obtain measurable enzyme levels (Soto et al. 2022). Briefly, 1.05 × 104 cells/cm2 were seeded in 6‐well plates until reaching confluence (24 h). Then, the media were replaced with either 2 mL of LC50‐FE‐H (33.34% v/v), 2 mL of 2% FBS–DMEM only (negative control), the blank from the colonic fermentation (dissolved in 2% FBS–DMEM), or a positive inducer of apoptosis (50 µM H2O2) for 48 h. Subsequently, the media was removed, and the cells were washed with 1× PBS, trypsinized with 0.25% Trypsin‐EDTA (Gibco) for 15 min, and 2% DMEM was added to stop trypsin activity. The solutions were then centrifuged (150 × g) to obtain the intact cellular pellets. Cell lysis was induced by adding 50 µL of the manufacturer's lysis buffer, and activity was further enhanced by freezing the pellets at −80°C for 20 min. The lysates were then centrifuged at 4000 × g for 10 min at 4°C, and the supernatants were used to quantify Caspase 3/7 activity by fluorescence (excitation/emission at 496/520 nm), with results expressed relative to the negative control. The same procedure and treatments were applied for the Hs 738 St./Int cells. The results were expressed as a percentage of the negative control. Untreated cells (2% FBS–DMEM) were considered the negative control, whereas cells treated with 50 µM H2O2 were considered the positive control. The blank of the fermentation was also evaluated, using the same concentration as in LC50‐FE‐H (33.34% v/v).
2.10. Prebiotic Potential Assay
The prebiotic effect was assessed by testing the growth of L. gasseri bacteria (isolated from Swanson Probiotics L. gasseri; Swanson Health Products, USA). Bacteria were activated and inoculated in Man, Rogosa, and Sharpe (MRS) broth with dextrose (BD DifcoTM, Becton, Dickinson and Company, Sparks, MD, USA) and incubated (Shel Lab model 2100 incubator, Sheldon Manufacturing, Inc., Cornelius, OR, USA) at 37°C for 32 h under anaerobic conditions. After incubation time, the tubes were stored at 4°C until use.
The prebiotic potential of huitlacoche was evaluated following Pacheco‐Ordaz et al. (2018), with modifications. A dilution of the stock culture was performed using MRS without dextrose until a previously determined absorbance (OD600) corresponding to 1 McFarland standard unit (1 × 108 colony‐forming units). The developed method was performed as follows: culture medium, bacterial inoculum, and the corresponding NDF‐H concentration (1% solid + liquid NDF or LS‐NDF, 1% solid NDF‐H, and 2% solid NDF‐H). Experimental cultures were added to 1.5 mL microcentrifuge tubes and filled with 1.5 mL to secure an anaerobic environment. The NDF‐H was replaced with dextrose (2%) as a positive control for the experiment.
Inoculated tubes were incubated (37°C, 14 h) with aliquots taken every 2 h. Supernatant was collected from each tube, and absorbance was monitored at 600 nm using a microplate spectrophotometer (MultiSkan Go, Thermo Scientific, USA). Results were expressed as the average difference between the positive and negative controls in a triplicate assay. Optical density measurements were fitted to the Baranyi and Roberts (1994) model to estimate bacterial growth parameters, including lag phase duration, maximum population, and maximum growth rate (defined as the maximum slope of the fitted growth curve).
2.11. Statistical Analysis
At least two independent experiments, each performed in triplicate, were conducted. Data were screened for normality and homoscedasticity using Shapiro–Wilk's and Bartlett's tests. The effect of cooking on chemical and phytochemical composition was compared using Student's t‐test (p < 0.05). Analysis of variance (ANOVA) was used to evaluate changes in the bioaccessibility of phenolic compounds during digestion and the effect of colonic‐fermented NDF extract from huitlacoche on colon cancer cell survival. Both were followed by means comparison using the Tukey–Kramer test for dose comparison (p < 0.05). For the prebiotic effect, optical density (an indicator of the bacterial population) for the different NDF‐H doses was compared using ANOVA followed by Tukey–Kramer post hoc tests. A principal components analysis (PCA) was conducted to relate the chemical composition across all digestion stages to the observed antioxidant capacity. The Minitab 17 statistical software was used.
3. Results and Discussion
3.1. Effects of Cooking on the Chemical and Phytochemical Composition of Huitlacoche
The composition of huitlacoche was compared before (raw) and after cooking (cooked) (Table 1). Cooking reduced the lipid and protein contents of huitlacoche by 25% and 5%, respectively. Carbohydrates were the major component in both raw and cooked huitlacoche, with TDF ranging from 45.2% to 49.5% in raw and cooked huitlacoche, respectively. Observed results for IDF increase could be explained by their proportion increase, other than the amount, as reports for several fungi have shown that in the absence of water and depending on the fungus species, certain soluble fractions, such as α‐ and β‐glucans, can be reduced (Roncero‐Ramos et al. 2017). Colorectal cancer can be prevented by consuming adequate amounts of fermentable and nondigestible carbohydrates, such as fiber. On the basis of our results, cooked huitlacoche (100 g on a dry basis) contributes ∼30 g TDF to the diet. Some studies suggest that higher IDF levels can improve microbial diversity and promote the activity of butyrogenic bacteria (Zhang et al. 2024).
TABLE 1.
Composition and antioxidant capacity of raw and cooked huitlacoche.
| Raw | Cooked | |
|---|---|---|
| Chemical composition (%) | ||
| Moisture | 7.50 ± 0.11 | 9.50 ± 0.25* |
| Ash | 5.30 ± 0.16* | 5.20 ± 0.04 |
| Lipids | 1.60 ± 0.03* | 1.20 ± 0.01 |
| Protein | 10.60 ± 0.11* | 10.10 ± 0.16 |
| Carbohydrates | 74.90 ± 0.06* | 74.00 ± 0.13 |
| Total dietary fiber | 45.20 ± 2.29 | 49.50 ± 1.35* |
| Soluble dietary fiber | 7.60 ± 2.21* | 4.10 ± 0.75 |
| Insoluble dietary fiber | 37.60 ± 0.14 | 45.50 ± 0.62* |
| Phytochemical composition | ||
| Total phenolic content (mg GAE/g) | ||
| Free | 1.09 ± 0.14* | 0.36 ± 0.02 |
| Bound | 1.83 ± 0.27 | 1.52 ± 0.30 |
| Total | 2.92 ± 0.33* | 1.88 ± 0.28 |
| Total flavonoid content (mg RE/g) | ||
| Free | 0.45 ± 0.05* | 0.20 ± 0.02 |
| Bound | 1.33 ± 0.11* | 1.13 ± 0.11 |
| Total | 1.78 ± 0.13* | 1.33 ± 0.11 |
| Total condensed tannins (mg CE/g) | ||
| Free | 0.19 ± 0.02* | 0.07 ± 0.01 |
| Bound | 0.52 ± 0.02 | 0.49 ± 0.13 |
| Total | 0.71 ± 0.01* | 0.56 ± 0.05 |
| Antioxidant capacity (TE/g) | ||
| DPPH | ||
| Free | 8.08 ± 0.48*0 | 5.30 ± 0.3000 |
| Bound | 6.19 ± 0.3300 | 7.77 ± 0.63* |
| Total | 14.27 ± 1.05* | 13.08 ± 0.52 |
| FRAP | ||
| Free | 0.76 ± 0.03* | 0.55 ± 0.06 |
| Bound | 7.55 ± 0.97 | 7.28 ± 1.04 |
| Total | 7.98 ± 1.04 | 7.82 ± 1.08 |
Note: Data are expressed as mean ± standard deviation of three independent assays.
Abbreviations: CE, (+)‐catechin equivalents; DPPH, 2,2‐diphenyl‐1‐picrylhydrazyl; FRAP, ferric reducing antioxidant power; GAE, gallic acid equivalents; RE, rutin equivalents; TE, Trolox equivalents.
*Indicate significant differences per line (Student's t‐test, p < 0.05).
Regarding the phytochemical composition of raw and cooked huitlacoche, bound total phenolic compounds showed higher concentrations (12%–22% decrease after cooking) than free compounds in both raw and cooked samples, suggesting that most of these compounds are bound to macromolecules, such as polysaccharides and proteins, present in the huitlacoche cell wall (Tu et al. 2021). The observed differences in total phenolic compounds in this study are like those reported by Valdez‐Morales et al. (2016). These results may vary depending on the region of origin of huitlacoche, the type of maize used, the cooking process, and the extraction method. In addition, the levels of total phenolics (1.88–2.92 mg GAE/g) and flavonoids (1.33–1.78 mg RE/g) found in huitlacoche are consistent with those reported for other edible fungi (Cantharellus symoensii) and fall within known ranges (Assemie and Abaya 2022).
Importantly, these results align with the current literature, which reports that U. maydis contains polysaccharides, such as β‐(1→3)‐glucans, with biological activity. Recent studies demonstrated that β‐glucans extracted from U. maydis display antioxidant, immunomodulatory, and cytotoxic properties against human cells, with an LC50 of ∼291 µg/mL in endothelial cells and significant reductions in reactive oxygen species (ROS) levels in vitro (Luna‐Cruz et al. 2025). These findings support that the phytochemicals and cell‐wall–bound components of huitlacoche not only contribute to its antioxidant capacity but may also underlie the cytotoxic effects observed in colon cancer cell assays.
Although the thermal sensitivity might explain reductions in the phytochemical composition (Antony and Farid 2022), the presence of phenolics, along with β‐glucans and other polysaccharides, reinforces the potential of cooked huitlacoche as a functional food with antioxidant, anticancer, and prebiotic properties (Luna‐Cruz et al. 2025; Villagrán et al. 2023).
The antioxidant capacity of huitlacoche, measured by DPPH and FRAP methods, decreased slightly in cooked compared to raw samples (8% lower in DPPH and 2% lower in FRAP) (Table 1). Antioxidant capacity results agree with previous studies, which showed that thermal processing can reduce antioxidant capacity due to degradation of phenolic compounds (Yang et al. 2019). Antioxidant capacity quantified by the FRAP method differed only in the free fraction, which was higher in the raw samples, likely due to the loss of phenolic compounds from the free fraction during cooking (Antony and Farid 2022).
3.2. In Vitro Bioaccessibility of Phenolic Compounds in Huitlacoche and Its Antioxidant Capacity
Phenolic compounds (phenolic acids, flavonoids, and CTs) are known for their beneficial health properties. In this study, bioaccessibility of these compounds was quantified at the different stages of gastrointestinal digestion (Figure 1). During simulated digestion, the concentration of total phenolic compounds and CTs was higher at the oral stage compared to the non‐digested huitlacoche (NDH or raw samples) (2.4 vs. 1.58 mg/g for phenolics and 7.83 vs. 0.56 mg/g for tannins, respectively) (Figure 1A,B). This increase could be potentially attributed to the action of α‐amylase, which hydrolyzes starch and other complex carbohydrates, releasing phenolic compounds previously bound to the food matrix (Tu et al. 2021). However, because α‐amylase activity was not quantified in the saliva samples used in this study, further investigation is needed to validate these claims.
FIGURE 1.

Bioaccessibility of (A) total phenolic content, (B) total flavonoid content, (C) total condensed tannins, and (D) antioxidant capacity (DPPH and FRAP assay) of cooked huitlacoche during in vitro gastrointestinal digestion. Values are presented as the mean ± standard deviation of at least two independent assays. Different letters indicate significant differences between the digestion stage (Tukey, p < 0.05). CE, (+)‐catechin equivalents; DPPH, 2,2‐diphenyl‐1‐picrylhydrazyl; FRAP, ferric reducing antioxidant capacity; GAE, gallic acid equivalents; NDH, non‐digested huitlacoche; RE, rutin equivalents; TE, Trolox equivalents.
For flavonoids, the highest concentration was observed at the gastric stage (4.48 mg/g), likely due to pepsin activity under acidic conditions (pH 2), which facilitates their release from protein complexes (Wang et al. 2023). The primary flavonoid detected in this phase was epicatechin (3.0 mg/g). Interestingly, this compound is not typically detected in fungal sources. However, as U. maydis is a parasitic fungus, the phenolic profile of the galls also depends on that of the inoculated maize host (Valdez‐Morales et al. 2016).
Total phenolic compounds were undetected in the gastric and intestinal stages. This suggests potential interactions with fiber components such as starch and cellulose in huitlacoche, forming noncovalent bonds that reduce their solubility and detection (Domínguez‐Avila et al. 2017). These compounds are again detected in the colonic stage, where microbial fermentation breaks down dietary fiber, releasing bound phenolics (Cortés‐Martín et al. 2020).
Interestingly, CTs were undetected during colonic fermentation at 6 and 12 h. This absence may be due to microbiota‐mediated degradation. Tannins, particularly flavan‐3‐ol dimers (A and B), undergo microbial cleavage of the C‐ring, yielding simpler phenolic metabolites, such as dihydroxyphenylpropionic and dihydroxyphenylacetic acids (Sallam et al. 2021). A similar process occurs with flavonoids: the colonic pH decreases during fermentation, affecting compound solubility and stability, while microbial activity degrades them into simpler phenolics. This degradation is influenced by the compound concentration in the initial sample, the duration of fermentation, and the composition of the microbiota (Reddivari et al. 2016).
The antioxidant capacity, primarily attributed to phenolic compounds, was also assessed along the digestive process using the DPPH and FRAP methods (Figure 1D). However, the antioxidant effects of huitlacoche may also be attributed to other bioactive components, such as polysaccharides, depending on their solubility, sugar ring structure, molecular weight, presence of positively or negatively charged groups, protein moieties, and covalently linked phenolic compounds (Fernandes and Coimbra 2023; Villagrán et al. 2023). Other compounds found in huitlacoche exhibiting antioxidant capacity include ergothioneine, which is highly accumulated in tissues susceptible to oxidative damage and can prevent the formation of free radicals, directly scavenge ROS, or interact with other natural antioxidant defenses by activating antioxidant pathways involving the mitogen‐activated protein kinases (MAPKs) and regulating the levels of peroxidases and superoxide dismutases (Fu and Shen 2022).
DPPH antioxidant capacity significantly increased (11% higher) during the gastric stage than the oral stage. However, this was followed by a considerable reduction (62%) at the beginning of the intestinal stage. FRAP antioxidant capacity varied across intestinal time points, peaking at 30 min. During the colonic phase, differences were insignificant across fermentation times, although a reduction (up to 98%) occurred at the start of this stage compared to the intestinal phase. This reduction may be due to microbial degradation of antioxidant compounds (Luzardo‐Ocampo et al. 2017). These findings differ from those of López‐Martínez et al. (2022), who observed a 130% increase in antioxidant capacity at the gastric stage using both concentrated and unconcentrated huitlacoche ethanolic extracts. The discrepancy may stem from differences in digestion models and sample preparation, but more importantly, our study digested the whole food matrix for the first time.
Additionally, selected phenolic compounds were identified and quantified at each stage of huitlacoche digestion. Bioaccessibility of these compounds increased during the oral stage (Table 2). The identification of compounds at the digestion stages other than the raw samples (e.g., dihydroxybenzoic acid or ferulic acid at the 24‐h‐colonic stage) indicates their release following enzymatic or chemical degradation of other complex compounds under simulated digestive conditions (Kasprzak‐Drozd et al. 2024).
TABLE 2.
Bioaccessibility of phenolic compounds during in vitro gastrointestinal digestion of cooked huitlacoche.
| Digestion phase | Benzoic acid | Dihydroxybenzoic acid | 4‐Hydroxybenzoic acid | Ferulic acid | Gallic acid | Ellagic acid | Epicatechin |
|---|---|---|---|---|---|---|---|
| Raw | 0.003 ± 0.00 | — | 0.01 ± 0.00 | — | 0.2 ± 0.01 | — | 3.0 ± 0.02 |
| Oral | — | 0.2 ± 0.00b | 0.5 ± 0.01a | — | 0.3 ± 0.0b | — | 4.1 ± 0.0c |
| Gastric | 0.8 ± 0.02ab | — | 0.2 ± 0.00b | — | — | 10.5 ± 0.2a | |
| Small intestine (min) | |||||||
| 15 | — | — | 0.1 ± 0.00c | — | 0.8 ± 0.00b (400) | — | 5.7 ± 0.00b |
| 30 | 0.6 ± 0.03b | — | 0.1 ± 0.00c | — | 1.0 ± 0.00b (500) | — | 5.0 ± 0.00d |
| 60 | 1.0 ± 0.08a | — | 0.1 ± 0.00c | — | 0.9 ± 0.00b (450) | — | 2.1 ± 0.00e |
| Colon (h) | |||||||
| 6 | — | 0.5 ± 0.00a | — | — | 0.003 ± 0.00d | — | — |
| 12 | — | 0.3 ± 0.00b | — | — | 0.01 ± 0.00c | — | — |
| 24 | — | 0.1 ± 0.00c | — | 1.8 ± 0.00 | 0.004 ± 0.00d | — | — |
Note: Values represent the mean ± standard deviation of at least two independent experiments. Values are expressed as mg/g of sample. Bioaccessibility values (%) are presented in parentheses. Different letters indicate significant differences within each column and across digestion stages (Tukey, p < 0.05). Dashes in the table indicate that the compound was not detected.
Benzoic acid, dihydroxybenzoic acid, 4‐dihydroxybenzoic acid, gallic acid, and epicatechin were detected across most digestive stages. These phenolic compounds exert anticancer properties such as reduction of cancer cell metabolic activity, cell growth inhibition, and activation of apoptotic pathways, including activation of caspase‐3, cell cycle arrest in the G2/M phase, histone deacetylase enzymes, and induction of autophagy (Anantharaju et al. 2017; Chen et al. 2023; Forester et al. 2014; Gadelmawla et al. 2022). Additionally, both gallic and ferulic acids have demonstrated prebiotic potential by forming polysaccharide complexes, such as starch, which serve as substrates for probiotic bacteria like Lactobacillus rhamnosus and Bifidobacterium bifidum, thereby promoting their growth (Cai et al. 2024).
3.3. pH Change and SCFAs Production During In Vitro Colonic Fermentation
The colonic fermentation of NDF‐H induced pH variations (16%) after 24‐h fermentation, compared with a 37% decrease in the positive control with raffinose, a fermentable carbohydrate (Figure 2A). This reduction in pH suggests fermentative microbiota activity on the dietary fiber of huitlacoche, which favors the production of SCFAs (Figure 2B). This pH reduction was greater than that reported for other raffinose‐rich foods, such as common bean (Campos‐Vega et al. 2009).
FIGURE 2.

pH reduction and short‐chain fatty acids production during in vitro colonic fermentation of the nondigestible fraction from huitlacoche. Values are presented as the mean ± standard deviation of two independent measurements (Tukey, p < 0.05). In (A), the capital letters indicate significant differences (p < 0.05) between treatments, whereas the noncapital letters indicate significant differences (p < 0.05) between fermentation times. The differences were assessed using Tukey–Kramer's test. Control (−), negative control (intestinal solution); control (+), positive control (100 mg raffinose); NDF‐H, nondigestible fraction of huitlacoche. In (B), different letters indicate significant differences in fermentation time within each treatment.
Under low pH conditions (4–6), probiotic bacteria not only inhibit the growth of pathogenic bacteria but also produce postbiotic metabolites, such as SCFAs (propionic, acetic, and butyric acids) (Wang et al. 2020; Xie et al. 2023). The production and ratio of these SCFAs depend on the available substrate type, impacting their physiological functions. The analysis of SCFAs produced during colonic fermentation (Figure 2B) showed acetic, propionic, and butyric acids concentrations of 2.68, 5.20, and 0.23 mmol/L, respectively, in the first hours of fermentation (6 h). Both propionic and acetic acid decreased, whereas butyric acid concentration increased linearly over the fermentation period, following the equation Y = 0.159x − 0.708 (r 2 = 0.9998). This can be attributed to cross‐fermentation, in which butyrogenic bacteria convert acetic acid (produced by acetic bacteria) into acetyl‐CoA, which is then enzymatically converted into butyric acid (Bedu‐Ferrari et al. 2022).
Moreover, after 24 h of fermentation, the concentration of SCFAs increased (3.06, 7.08, and 3.11 mmol/L for acetic, propionic, and butyric, respectively), with the largest increase in propionic acid. These values are within the range, or even higher for propionic and butyric acids, when the amount of fermented sample is taken into account, as reported by Hu et al. (2023), who evaluated a polysaccharide extract (100 mg) from straw mushroom (Volvariella volvacea). These authors also report similar amounts of these SCFAs from a fructo‐oligosaccharide supplement, with slight variations.
Previous studies have demonstrated that higher concentrations of certain fatty acids are attributable to factors such as substrate composition, the specific microbiota present, and environmental conditions, including pH (Ashaolu et al. 2021). β‐Glucans from mushrooms are able to modulate colonic microbiota, particularly Lactobacillus spp. and Bifidobacterium spp., which are producers of those SCFAs (Moniruzzaman et al. 2025). Furthermore, although the amounts of SCFAs produced seem low, only 5.10, 0.68, and 1.19 mmol/mL of acetic, propionic, and butyric acids are needed to inhibit the survival of human colon cancer cells in vitro (Campos‐Vega et al. 2012).
Acetic acid is converted to acetyl‐CoA, which plays a critical role in energy distribution and acts as a metabolic regulator, influencing gene transcription and protein function (Moffett et al. 2020). Propionic acid helps suppress lipogenesis, reduces hepatic triglyceride levels, improves insulin sensitivity, and participates in the formation of complex fatty acids (Weitkunat et al. 2016). Butyric acid is mainly an energy source for intestinal cells. It promotes cell differentiation, induces apoptosis, improves epithelial barrier function, increases mucin expression, and maintains colonocyte integrity (Banasiewicz et al. 2020).
These metabolites play a key role in maintaining intestinal health and regulating metabolism, highlighting the importance of colonic fermentation and SCFAs production in human health. The results of pH reduction and SCFA production indicate that NDF‐H is fermentable by the colonic microbiota.
3.4. Effect of FE‐H on the Survival and LDH and Caspase 3/7 Activity of HT‐29 Cells
The survival of human colon cancer cells (HT‐29) was evaluated by exposing them to different doses of 24 h FE‐H. Initially, cells were treated with concentrations of 5%–35% and showed morphological changes after 24 h of incubation compared to untreated cells. However, when the cells were tested using the MTT assay, the highest FE‐H concentration significantly decreased cell survival, but only 7% (Figure 3A), while the lowest concentration (5%) improved cell survival (14%) compared to the control. The concentration and exposure time of the cells to the extract were increased based on this result. This time, FE‐H had a cytotoxic effect on HT‐29 cells at 6%–50% FE‐H concentrations for 48 h (Figure 3B). Metabolic activity was reduced by up to 72% at the highest concentration compared with the control.
FIGURE 3.

Impact of the colonic fermentation extract on the metabolic activity of HT‐29 cells at (A) 24 h and (B) 48 h of exposure. Effect of the 48 h half‐lethal concentration of the colonic extract (LC50‐FE‐H) on lactate dehydrogenase (LDH) activity in (C) Hs 738 St./Int and (D) HT‐29 cells; impact of the 48 h half‐lethal concentration of the colonic extract (LC50‐FE‐H) on caspase 3/7 activity in (E) Hs 738 St./Int and (F) HT‐29 cells. The values are presented as the mean ± standard deviation of at least two independent assays. Different letters indicate significant differences between FE‐H doses (A and B) or treatments (C–F) (Tukey, p < 0.05). Control (−), untreated cells (cells grown in 2% FBS + DMEM); control (+), positive control (50 µM H2O2); FE, fermented extract of huitlacoche; MRC, maximum LDH release control (provided lysis buffer from the caspase 3/assay kit (75 µL Tris, pH 7.5, 2 M NaCl, 20 mM ethylenediaminetetraacetic acid, 0.2% TRITON X‐100 for each 1 mL of lysis buffer).
The LC50 of FE‐H was 33.34%. Despite the challenge of translating observed in vitro doses to in vivo or clinical trials, previous research from our group suggests that in vitro doses may translate to similar effects in vivo. For instance, 1 g of digested Moringa oleifera leaves displayed pro‐apoptotic, necrotic, and cytotoxic effects in HT‐29 cells (LC50: 5.9%–71.70% v/v) (Caicedo‐Lopez et al. 2021). When doses ranging from 0.25 to 1.0 g of powdered leaves were administered to azoxymethane/dextran sodium sulfate‐induced colorectal cancer in CD‐1 mice, observable macroscopic and genomic effects were observed in the animals, with the 1.0 g dose being the most effective at inducing apoptosis in cancer cells, reducing polyps, and improving the overall health of the animals (Cuellar‐Núñez et al. 2021). Moreover, the conducted digestion and colonic fermentation model effectively recapitulates several physiological effects to which samples are usually subjected during digestion, potentially producing more similar physiological and biological effects when assayed in in vitro models.
The metabolic activity at the lowest FE‐H dose (6% and 47%) was similar to the inhibition at LC50. The metabolic activity fluctuated with increasing dose, suggesting that FE‐H was cytotoxic at both low and high concentrations, a pattern indicative of hormesis. This concept implies that the cytotoxic response depends not only on the dose but also on the exposure time, suggesting that although there is an initial disruption of cellular homeostasis, cells undergo an adaptive or reparative process that restores their activity at doses below the LC50 (Calabrese 2008).
The FE‐H used in this treatment contains compounds that can affect HT‐29 metabolic activity and proliferation. Among them are SCFAs, such as propionic acid (2.36 mmol/L) and butyric acid (1.04 mmol/L); dihydroxybenzoic acid (0.1 mg/g); ferulic acid (1.8 mg/g); and CTs (0.01 mg rutin equivalent/g/g) present in LC50‐FE‐H. These compounds have previously been shown to exert cytotoxic, pro‐apoptotic, and anti‐inflammatory effects in HT‐29 cells at doses similar to those found in FE‐H, which explains our results (Comalada et al. 2006; Ribas et al. 2021). Cytotoxicity results suggest that, given the composition of FE‐H, some huitlacoche compounds may be released upon reaching the colon stage. These compounds may also promote the production of SCFAs and possibly other substances, which can synergistically exert cytotoxic effects, likely through potential apoptosis, on human colon cancer HT‐29 cells. This suggests a chemopreventive effect by reducing their proliferation. However, additional studies are needed to investigate the type of cell death induced by FE‐H in these cells, its effects on noncancerous colon cell lines, and its mechanism of action.
To elucidate the impact of FE‐H on specific cell death mechanisms, the activities of LDH (Figure 3C) and caspase 3/7 (Figure 3D) were measured. A non‐tumoral cell line was included in the assays, but a previous MTT assay was conducted in both Hs 738 Int./St and HT‐29 cells, to discard cytotoxic effects from the 48‐h LC50‐FE‐H and its blank (Figure S1), where none of the treatments was cytotoxic (metabolic activity >80%). As observed in the results, a low cytotoxic effect was observed in the non‐tumoral cells, with the blank and the LC50 showing LDH (Figure 3C) and caspase 3/7 (Figure 3E) activities comparable to those of the untreated cells (negative control). A different behavior was observed in HT‐29 cells, with significantly higher LDH (Figure 3E) and caspase‐3/7 (Figure 3F) activities at the 48‐h LC50‐FE‐H, reaching levels comparable to the positive control (H2O2). The observed results suggested that colonic metabolites from huitlacoche induced LDH release to the extracellular medium, suggesting a necrotic effect, yet it has been reported that the LDH measurement is not a complete indicator of necrosis, and additional assays, such as Annexin V‐Propidium iodide (PI) staining, would render better results in identifying late‐stage apoptosis or necrotic cells (Cummings and Schnellmann 2021). Additionally, caspase 3/7 activity, although widely used as a biochemical indicator of apoptosis, does not fully characterize the type of apoptotic process; however, its combination with LDH provides information on cell death mechanisms. As observed in this research, increased caspase 3/7 and LDH activities are both indicators of secondary necrosis, suggesting loss of plasma integrity and release of intracellular components even after the apoptotic program has been activated (Galluzzi et al. 2018).
Although the effects of the colonic metabolites of U. maydis on colon cancer cells have not been investigated, several of the compounds found as digested metabolites have been associated with necrotic or pro‐apoptotic effects. For instance, gallic acid is a common metabolite in Leccinum vulpinum, Ramaria patagonica, or Pleurotus ostreatus (Yu et al. 2025), and reports from our research group have found that this phenolic acid, together with other compounds found in this report, such as ferulic acid, ellagic acid, and epicatechin, when present as colonic metabolites, are effective LDH and pro‐apoptotic inducers in HT‐29 cells (Caicedo‐Lopez et al. 2021).
3.5. Effect of NDF on Lactobacillus gasseri Growth
NDF was used as a substrate to evaluate L. gasseri growth. Figure 4 shows bacterial growth in the presence of different NDF concentrations: 1% NDF (solid + liquid fractions, LS‐NDF), 1% NDF, and 2% NDF (solid fraction), with dextrose as a positive control for reference. OD increased after 6 h in all three cases, similar to the dextrose control. The 2% NDF treatment showed the highest OD (p < 0.05), followed by the 1% NDF and solid–liquid NDF treatments, with no difference (p > 0.05) between the latter two.
FIGURE 4.

Assessment of the prebiotic effect of the nondigestible fraction of huitlacoche (NDF‐H) on Lactobacillus gasseri growth. The values are presented as the mean ± standard deviation of at least two independent assays. Different letters indicate significant differences between treatments at each time. Control (+), positive control (dextrose); LS‐NDF, liquid and solid fraction of the nondigestible fraction of huitlacoche; NDF‐H, nondigestible fraction of huitlacoche (liquid fraction); OD, optical density.
In addition, the growth curve was fitted to the mathematical model proposed by Baranyi and Roberts (1994) to determine three bacterial growth parameters: lag phase duration (the time required for the bacteria to adapt to the substrate), maximum growth rate (the maximum rate at which the bacteria grow during the exponential phase), and final growth value (the maximum number of bacteria, represented by the highest O.D., before growth ceases). Table 3 shows the results for these three parameters across the three NDF concentrations, and no significant differences (p > 0.05) were found between treatments during the evaluation period. Although the NDF 1% treatment showed greater variability in maximum growth rate, this was attributed to one replicate with an atypically elevated value and was considered experimental variation rather than a consistent effect. Overall, these findings suggest that L. gasseri growth is not affected by increased substrate availability or by experimental conditions that led to metabolic saturation, indicating that the bacteria reached their maximum potential for substrate metabolism within the evaluated time frame (Hellweger 2018). However, additional assays or modifications to the experiment, such as longer exposure times or changes in cultivation techniques, are needed to confirm this.
TABLE 3.
Bacterial growth parameters for Lactobacillus gasseri.
| LSNDF | NDF (1%) | NDF (2%) | |
|---|---|---|---|
| Lag phase duration | 6.532 ± 0.08a | 6.688 ± 0.42a | 6.233 ± 0.43a |
| Final growth value | 0.115 ± 0.00a | 0.110 ± 0.00a | 0.123 ± 0.00a |
| Maximum growth rate | 0.032 ± 0.00a | 0.107 ± 0.08a | 0.033 ± 0.00a |
Note: Data are expressed as the mean ± standard deviation of three independent assays. Different letters indicate significant differences per line (Tukey, p < 0.05).
Abbreviations: LSNDF, liquid and solid nondigestible fraction; NDF (1%), 1% nondigestible fraction of huitlacoche; NDF (2%), 2% nondigestible fraction of huitlacoche.
L. gasseri growth is stimulated by fructooligosaccharides, galactooligosaccharides, and inulin (Pan et al. 2020). Although not assessed in this study, huitlacoche contains raffinose‐family oligosaccharides that can potentially serve as fermentable substrates for L. gasseri (Beas et al. 2011). Furthermore, Lactobacillus acidophilus, a related species, exhibits enhanced growth in the presence of dietary fiber (soluble/insoluble) and phenolic compounds, both of which are components of huitlacoche. Combined with the observed growth kinetics and evaluated parameters, these findings demonstrate that L. gasseri can utilize huitlacoche's NDF as a substrate.
Finally, in view of the criteria for defining food as prebiotic proposed by Gibson and Rastall (2006) and the results of this study, the following conclusion can be drawn: the components of huitlacoche that are resistant to digestion are fermentable by L. gasseri. This suggests that they can lower pH, metabolize compounds, produce new metabolites, and stimulate bacterial growth during the evaluated period, indicating a prebiotic potential. Nonetheless, additional research is required to determine whether NDF can selectively stimulate the growth of probiotic bacteria while reducing or inhibiting pathogen growth. Additionally, although a consortium of bacteria representative of the colonic microbiota could be used to further assess the potential of FE‐H to modulate probiotic bacteria, L. gasseri is a well‐established human‐origin probiotic bacterium that serves as an appropriate model organism for the initial screening of the prebiotic activity, as the selective stimulation of beneficial microorganisms is a defining characteristic of prebiotics (Gibson et al. 2017). This approach has been used by our research group to assess in vitro the effects of prebiotics from food matrices on the promotion of Limosilactobacillus reuteri, Limosilactobacillus helveticus, and L. rhamnosus (Luzardo‐Ocampo et al. 2025). These results were further confirmed in vitro, when the same food matrix modulated the abundance of bacterial genera associated with well‐known prebiotics, such as Lactobacillus and Ligilactobacillus (Barbosa et al. 2025).
3.6. PCA for the Release of Selected Phenolic Compounds and Antioxidant Capacity, Along With the Digestion Process
Figure 5 shows the PCA analysis of the spectrophotometric and selected free phenolic compounds in the digested samples, as well as their impact on antioxidant capacity. For this analysis, two PCAs were conducted (referred to as “conditions”): one for the oral‐gastric‐small‐intestinal conditions and one for colonic fermentation. This separation was made because additional variables not measured in the previous steps were considered in colonic fermentation, such as pH and SCFA quantification. The PCA analysis indicated that up to three components explained >80% of the total variation for both conditions (oral‐gastric‐small intestine and colonic fermentation) (Tables S1 and S2). Different clusters were observed in the PCA analysis for both conditions, as shown in the scatter and loading plots for all variables (Figure 5A,B). For the first condition (oral‐gastric‐small intestine) (Figure 5A), the oral conditions were mostly impacted by epicatechin, hydroxybenzoic acid, CTs, and total flavonoids. Gastric conditions were primarily affected by DPPH and benzoic acid, and the NDFs were primarily influenced by gallic acid and FRAP antioxidant capacity. For the second condition (colonic fermentation), samples at 6 h were primarily related to pH changes, CTs, and total flavonoids; samples at 12 h were influenced by gallic acid, FRAP, and 4‐hydroxybenzoic acid; finally, samples at 24 h varied in SCFAs content and total phenolic compounds.
FIGURE 5.

Principal components analysis (PCA) for the chemical composition of huitlacoche, along with the digestive process and the observed antioxidant capacity. Scatter and loading plots for the first and second components of the (A) oral‐gastric‐small intestine digestion; (B) colonic fermentation. (C) Spearman's correlation analysis between the chemical composition and the antioxidant capacity methods at the (A) oral‐gastric‐small intestine digestion and (B) colonic fermentation. 4‐DiHBenz, 4‐hydroxybenzoic acid; Acetic, acetic acid; Benz, benzoic acid; Buty, butyric acid; CT, condensed tannins; DiHBenz, dihydroxybenzoic acid; DPPH, 2,2‐diphenyl‐1‐picrylhydrazil; Epic, epicatechin; FRAP, ferric reducing antioxidant power; Gal, gallic acid; HPLC‐DAD, high‐performance liquid chromatography coupled to a diode array detector; PC, principal component; Prop, propionic acid; SCFAs, short‐chain fatty acids; TF, total flavonoids; TPC, total phenolic compounds.
4. Conclusion
The thermal treatment of huitlacoche increased IDF and antioxidant capacity, while reducing total phenolic compounds. Notably, epicatechin was identified as the major compound in both raw and cooked huitlacoche, a finding not previously reported. So far, the bioaccessibility of phenolic compounds from huitlacoche has not been documented, nor has the impact of bioaccessibility on antioxidant capacity during in vitro gastrointestinal digestion. This study found that digestion increases the bioaccessibility of total phenolic compounds, flavonoids, and tannins during the oral stage, with a progressive decline in subsequent stages of digestion. Some phenolic compounds remained bioaccessible in the colon, where they continued to exert antioxidant capacity throughout gastrointestinal digestion. Additionally, the ability of huitlacoche to lower pH and stimulate the production of SCFAs—including propionic, acetic, and butyric acids, with propionic acid at the highest concentration—indicates that huitlacoche is fermentable by colonic microbiota. The FE‐H reduced the metabolic activity of HT‐29 colon cancer cells to the LC50 (33.34%), likely due to the combined necrotic and caspase‐3/7‐activating effects of SCFAs combined with phenolic compounds. This interaction exhibited a hormesis‐like effect on HT‐29 cells. Moreover, certain components of huitlacoche appear resistant to digestion and fermentable by colonic microbiota, and they can stimulate L. gasseri growth, suggesting their prebiotic potential. The results serve as a foundation for further research into huitlacoche's potential to prevent colon cancer and other chronic degenerative diseases, while also highlighting its nutritional benefits and encouraging its consumption, as this is the first time huitlacoche has been evaluated as a potential functional food.
As a limitation of this study, during the intestinal phase an artificial membrane was used, which limited how compounds were absorbed in the small intestine, suggesting the need for more sophisticated models (e.g., ex vivo approaches or the polarized Caco‐2 cell model) to better mimic intestinal digestion. Moreover, the way dietary fiber fractions change during huitlacoche, suggesting not only changes in proportions but also potential molecular complexation, warrants further merit. Research investigating how gut microbiota composition may change during colonic fermentation in this model, or through in vivo or clinical trial approaches, may help elucidate microbiota modulation to produce beneficial metabolites that contribute to the observed biological effects. Finally, a deeper study of cell death mechanisms using proteomics or genomics approaches would better elucidate the specific pathways by which the biological compounds of huitlacoche act.
Author Contributions
Angélica Rebollar‐García: investigation, formal analysis, data curation, writing – original draft, visualization, methodology. Ivan Luzardo‐Ocampo: methodology, validation, visualization, writing – review and editing, formal analysis, supervision, resources, data curation, funding acquisition. Sofía Arvizu‐Medrano: writing – review and editing, methodology, resources, investigation, supervision. Héctor Pool: investigation, methodology, resources, writing – review and editing, supervision. Guadalupe Loarca‐Piña: resources, methodology, visualization, investigation, supervision. Dafne Velásquez‐Jiménez: investigation, methodology, validation, visualization, supervision. María Guadalupe Herrera‐Hernández: methodology, investigation, formal analysis, supervision, resources. Vanessa Sánchez‐Quezada: methodology, investigation, validation, formal analysis. Rocio Campos‐Vega: conceptualization, investigation, funding acquisition, writing – review and editing, project administration, supervision, methodology.
Ethics Statement
Ethical review committee approval was acquired.
Conflicts of Interest
The authors declare no conflicts of interest.
Supporting information
Supplementary Material: jfds71365‐sup‐0001‐SuppMat.docx
Acknowledgments
Angélica Rebollar‐García gratefully acknowledges Secretaría de Ciencia, Humanidades, Tecnología e Innovación (SECIHTI, formerly CONAHCYT‐Mexico) for her MSc Scholarship (ID: 1181282).
Contributor Information
Ivan Luzardo‐Ocampo, Email: ivanluzardo@tec.mx.
Rocio Campos‐Vega, Email: chio_cve@yahoo.com.mx.
References
- Anantharaju, P. G. , Reddy B. D., Padukudru M. A., Kumari Chitturi C. H. M., Vimalambike M. G., and Madhunapantula S. V.. 2017. “Naturally Occurring Benzoic Acid Derivatives Retard Cancer Cell Growth by Inhibiting Histone Deacetylases (HDAC).” Cancer Biology & Therapy 18, no. 7: 492–504. 10.1080/15384047.2017.1324374. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Andrade‐Meza, A. , Arias‐Romero L. E., Armas‐López L., et al. 2023. “Mexican Colorectal Cancer Research Consortium (MEX‐CCRC): Etiology, Diagnosis/Prognosis, and Innovative Therapies.” International Journal of Molecular Sciences 24, no. 3: 2115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Antony, A. , and Farid M.. 2022. “Effect of Temperatures on Polyphenols During Extraction.” Applied Sciences 12, no. 4: 2107. 10.3390/app12042107. [DOI] [Google Scholar]
- AOAC (Association of Official Analytical Chemists) . 2002. “Official Methods of Analysis.” Vol. 32. EUA: Washington, EEUU. [Google Scholar]
- Ashaolu, T. J. , Ashaolu J. O., and Adeyeye S. A. O.. 2021. “Fermentation of Prebiotics by Human Colonic Microbiota In Vitro and Short‐Chain Fatty Acids Production: A Critical Review.” Journal of Applied Microbiology 130, no. 3: 677–687. 10.1111/jam.14843. [DOI] [PubMed] [Google Scholar]
- Assemie, A. , and Abaya G.. 2022. “The Effect of Edible Mushroom on Health and Their Biochemistry.” International Journal of Microbiology 2022: 1–7. 10.1155/2022/8744788. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Aydoğdu, M. , and Gölükçü M.. 2017. “Nutritional Value of Huitlacoche, Maize Mushroom Caused by Ustilago maydis .” Food Science and Technology 37, no. 4: 531–535. 10.1590/1678-457x.19416. [DOI] [Google Scholar]
- Ayimbila, F. , and Keawsompong S.. 2025. “Unveiling the Prebiotic Properties of Mushrooms in Improving Gut Health and Related Diseases.” Food Bioscience 70: 107040. [Google Scholar]
- Banasiewicz, T. , Domagalska D., Borycka‐Kiciak K., and Rydzewska G.. 2020. “Determination of Butyric Acid Dosage Based on Clinical and Experimental Studies—A Literature Review.” Gastroenterology Review 15, no. 2: 119–125. 10.5114/pg.2020.95556. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Baranyi, J. , and Roberts T. A.. 1994. “A Dynamic Approach to Predicting Bacterial Growth in Food.” International Journal of Food Microbiology 23, no. 3–4: 277–294. 10.1016/0168-1605(94)90157-0. [DOI] [PubMed] [Google Scholar]
- Barbosa, Y. , Gaytán‐Martínez M., de los Ríos‐Arellano E., et al. 2025. “Mango by‐Products‐Based High‐Fiber Confectionery Attenuates Liver Steatosis and Alters Gut Microbiota in High‐Fat Diet‐Fed Rats.” Molecular Nutrition & Food Research 69, no. 22: e70224. 10.1002/mnfr.70224. [DOI] [PubMed] [Google Scholar]
- Beas, R. F. , Loarca G. P., Guzmán S. H. M., et al. 2011. “Potencial Nutracéutico de Componentes Bioactivos Presentes en Huitlacoche de la Zona Centro de México.” Revista Mexicana de Ciencias Farmacéuticas 42, no. 2: 36–44. https://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1870‐01952011000200006. [Google Scholar]
- Bedu‐Ferrari, C. , Biscarrat P., Langella P., and Cherbuy C.. 2022. “Prebiotics and the Human Gut Microbiota: From Breakdown Mechanisms to the Impact on Metabolic Health.” Nutrients 14, no. 10: 2096. 10.3390/nu14102096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Benzie, I. F. , and Strain J. J.. 1996. “The Ferric Reducing Ability of Plasma (FRAP) as a Measure of “Antioxidant Power”: The FRAP Assay.” Analytical Biochemistry 239, no. 1: 70–76. [DOI] [PubMed] [Google Scholar]
- Brodkorb, A. , Egger L., Alminger M., et al. 2019. “INFOGEST Static In Vitro Simulation of Gastrointestinal Food Digestion.” Nature Protocols 14, no. 4: 991–1014. [DOI] [PubMed] [Google Scholar]
- Cai, M. , Feng J., Wang J., et al. 2024. “Characterization of Various Noncovalent Polyphenol–Starch Complexes and Their Prebiotic Activities During In Vitro Digestion and Fermentation.” Journal of Agricultural and Food Chemistry 72: 2250–2262. 10.1021/acs.jafc.3c09327. [DOI] [PubMed] [Google Scholar]
- Caicedo‐Lopez, L. H. , Cuellar‐Nuñez M. L., Luzardo‐Ocampo I., Campos‐Vega R., and Loarca‐Piña G.. 2021. “Colonic Metabolites From Digested Moringa oleifera Leaves Induced HT‐29 Cell Death via Apoptosis, Necrosis, and Autophagy.” International Journal of Food Sciences and Nutrition 72, no. 4: 485–498. 10.1080/09637486.2020.1849039. [DOI] [PubMed] [Google Scholar]
- Calabrese, E. J. 2008. “Hormesis: Why It Is Important to Toxicology and Toxicologists.” Environmental Toxicology and Chemistry 27, no. 7: 1451–1474. 10.1897/07-541.1. [DOI] [PubMed] [Google Scholar]
- Campos‐Vega, R. , Vázquez‐Sánchez K., López‐Barrera D., Loarca‐Piña G., Mendoza‐Díaz S., and Oomah B. D.. 2015. “Simulated Gastrointestinal Digestion and In Vitro Colonic Fermentation of Spent Coffee (Coffea arabica L.): Bioaccessibility and Intestinal Permeability.” Food Research International 77: 156–161. 10.1016/j.foodres.2015.07.024. [DOI] [Google Scholar]
- Campos‐Vega, R. , Reynoso‐Camacho R., Pedraza‐Aboytes G., et al. 2009. “Chemical Composition and In Vitro Polysaccharide Fermentation of Different Beans (Phaseolus vulgaris L.).” Journal of Food Science 74, no. 7: T59–T65. 10.1111/j.1750-3841.2009.01292.x. [DOI] [PubMed] [Google Scholar]
- Campos‐Vega, R. , García‐Gasca T., Guevara‐Gonzalez R., Ramos‐Gomez M., Oomah B. D., and Loarca‐Piña G.. 2012. “Human Gut Flora‐Fermented Nondigestible Fraction From Cooked Bean (Phaseolus vulgaris L.) Modifies Protein Expression Associated With Apoptosis, Cell Cycle Arrest, and Proliferation in Human Adenocarcinoma Colon Cancer Cells.” Journal of Agricultural and Food Chemistry 60, no. 51: 12443–12450. 10.1021/jf303940r. [DOI] [PubMed] [Google Scholar]
- Carlson, J. L. , Erickson J. M., Lloyd B. B., and Slavin J. L.. 2018. “Health Effects and Sources of Prebiotic Dietary Fiber.” Current Developments in Nutrition 2, no. 3: nzy005. 10.1093/cdn/nzy005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen, S. , Zhao D., Luan C., et al. 2023. “Ferulic Acid Induces Autophagy and Apoptosis in Colon Cancer CT26 Cells via the MAPK Pathway.” Molecules 28, no. 16: 6014. 10.3390/molecules28166014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Comalada, M. , Bailón E., de Haro O., et al. 2006. “The Effects of Short‐Chain Fatty Acids on Colon Epithelial Proliferation and Survival Depend on the Cellular Phenotype.” Journal of Cancer Research and Clinical Oncology 132, no. 8: 487–497. 10.1007/s00432-006-0092-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cortés‐Martín, A. , Selma M. V., Tomás‐Barberán F. A., González‐Sarrías A., and Espín J. C.. 2020. “Where to Look Into the Puzzle of Polyphenols and Health? The Postbiotics and Gut Microbiota Associated With Human Metabotypes.” Molecular Nutrition & Food Research 64, no. 9: 1900952. 10.1002/mnfr.201900952. [DOI] [PubMed] [Google Scholar]
- Cuellar‐Núñez, M. L. , Gonzalez de Mejia E., and Loarca‐Piña G.. 2021. “ Moringa oleifera Leaves Alleviated Inflammation Through Downregulation Downregulating IL‐2, IL‐6, and TNF‐α in a Colitis‐Associated Colorectal Cancer Model.” Food Research International 144: 110318. 10.1016/j.foodres.2021.110318. [DOI] [PubMed] [Google Scholar]
- Cummings, B. S. , and Schnellmann R. G.. 2021. “Measurement of Cell Death in Mammalian Cells.” Current Protocols 1: e210. 10.1002/cpz1.210. [DOI] [PubMed] [Google Scholar]
- D'Antuono, I. , Garbetta A., Linsalata V., Minervini F., and Cardinali A.. 2015. “Polyphenols From Artichoke Heads (Cynara cardunculus L. subsp. scolymus Hayek): In Vitro Bio‐Accessibility, Intestinal Uptake and Bioavailability.” Food & Function 6, no. 4: 1268–1277. 10.1039/c5fo00137d. [DOI] [PubMed] [Google Scholar]
- Davani‐Davari, D. , Negahdaripour M., Karimzadeh I., et al. 2019. “Prebiotics: Definition, Types, Sources, Mechanisms, and Clinical Applications.” Foods 8, no. 3: 92. 10.3390/foods8030092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Díaz‐Corona, L. R. , Parra‐Saavedra K. J., Mora‐Alonzo R. S., et al. 2023. “HPLC‐DAD Development and Validation Method for Short‐Chain Fatty Acids Quantification From Chicken Feces by Solid‐Phase Extraction.” Separations 10, no. 5: 308. 10.3390/separations10050308. [DOI] [Google Scholar]
- Domínguez‐Avila, J. A. , Wall‐Medrano A., Velderrain‐Rodríguez G. R., et al. 2017. “Gastrointestinal Interactions, Absorption, Splanchnic Metabolism and Pharmacokinetics of Orally Ingested Phenolic Compounds.” Food & Function 8, no. 1: 15–38. 10.1039/C6FO01475E. [DOI] [PubMed] [Google Scholar]
- Domínguez‐Hernández, E. , Rangel‐Hernández J., Morales‐Sánchez E., and Gaytán‐Martínez M.. 2022. “Effect of Ohmic Heating Nixtamalization on the Structural and Physicochemical Characteristics of Instant Maize Flours and Their Relation to Starch Modifications.” Biology & Life Sciences Forum 20, no. 1: 7. 10.3390/IECBM2022-13380. [DOI] [Google Scholar]
- Feregrino‐Pérez, A. A. , Berumen L. C., García‐Alcocer G., et al. 2008. “Composition and Chemopreventive Effect of Polysaccharides From Common Beans (Phaseolus vulgaris L.) on Azoxymethane‐Induced Colon Cancer.” Journal of Agricultural and Food Chemistry 56, no. 18: 8737–8744. [DOI] [PubMed] [Google Scholar]
- Fernandes, P. A. R. , and Coimbra M. A.. 2023. “The Antioxidant Activity of Polysaccharides: A Structure‐Function Relationship Overview.” Carbohydrate Polymers 314: 120965. 10.1016/j.carbpol.2023.120965. [DOI] [PubMed] [Google Scholar]
- Forester, S. C. , Choy Y. Y., Waterhouse A. L., and Oteiza P. I.. 2014. “The Anthocyanin Metabolites Gallic Acid, 3‐O‐Methylgallic Acid, and 2,4,6‐Trihydroxybenzaldehyde Decrease Human Colon Cancer Cell Viability by Regulating Pro‐Oncogenic Signals.” Molecular Carcinogenesis 53, no. 6: 432–439. 10.1002/mc.21974. [DOI] [PubMed] [Google Scholar]
- Fu, T.‐T. , and Shen L.. 2022. “Ergothioneine as a Natural Antioxidant Against Oxidative Stres‐Related Diseases.” Frontiers in Pharmacology 13: 850813. 10.3389/fphar.2022.850813. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fukumoto, L. R. , and Mazza G.. 2000. “Assessing Antioxidant and Prooxidant Activities of Phenolic Compounds.” Journal of Agricultural and Food Chemistry 48, no. 8: 3597–3604. 10.1021/jf000220w. [DOI] [PubMed] [Google Scholar]
- Gadelmawla, M. H. A. , Alazzouni A. S., Farag A. H., Gabri M. S., and Hassan B. N.. 2022. “Enhanced Effects of Ferulic Acid Against the Harmful Side Effects of Chemotherapy in Colon Cancer: Docking and In Vivo Study.” Journal of Basic and Applied Zoology 83, no. 1: 28. 10.1186/s41936-022-00293-8. [DOI] [Google Scholar]
- Galluzzi, L. , Vitale I., Aaronson S. A., et al. 2018. “Molecular Mechanisms of Cell Death: Recommendations of the Nomenclature Committee on Cell Death 2018.” Cell Death & Differentiation 25, no. 3: 486–541. 10.1038/s41418-017-0012-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gibson, G. R. , and Rastall R. A.. 2006. Prebiotics: Development & Application. John Wiley & Sons, Ltd. 10.1002/9780470023150. [DOI] [Google Scholar]
- Gibson, G. R. , Hutkins R., Sanders M. E., et al. 2017. “Expert Consensus Document: The International Scientific Association for Probiotics and Prebiotics (ISAPP) Consensus Statement on the Definition and Scope of Prebiotics.” Nature Reviews Gastroenterology & Hepatology 14: 491–502. 10.1038/nrgastro.2017.75. [DOI] [PubMed] [Google Scholar]
- Half, E. , and Arber N.. 2009. “Colon Cancer: Preventive Agents and the Present Status of Chemoprevention.” Expert Opinion on Pharmacotherapy 10, no. 2: 211–219. 10.1517/14656560802560153. [DOI] [PubMed] [Google Scholar]
- Hellweger, F. L. 2018. “Heterotrophic Substrate Specificity in the Aquatic Environment: The Role of Microscale Patchiness Investigated Using Modelling.” Environmental Microbiology 20, no. 10: 3825–3835. 10.1111/1462-2920.14397. [DOI] [PubMed] [Google Scholar]
- Hu, W. , Di Q., Liang T., et al. 2023. “Effects of In Vitro Simulated Digestion and Fecal Fermentation of Polysaccharides From Straw Mushroom (Volvariella volvacea) on Its Physicochemical Properties and Human Gut Microbiota.” International Journal of Biological Macromolecules 239: 124188. 10.1016/j.ijbiomac.2023.124188. [DOI] [PubMed] [Google Scholar]
- Huang, F. , Ma J. W., Ye Z. F., et al. 2025. “ Lactobacillus gasseri: Screening, Functional Properties, and Current Applications in the Food Industry.” Food Reviews International 41, no. 3: 935–952. [Google Scholar]
- Israel, A. O. , Adetunji C. O., Oyewole O. A., et al. 2025. “Application of Mushroom in the Regulation of Gut Microbiome and Maintenance of Gut Health.” Mushroom Biotechnology for Improved Agriculture and Human Health, 239–250. [Google Scholar]
- Kasprzak‐Drozd, K. , Mołdoch J., Gancarz M., et al. 2024. “In Vitro Digestion of Polyphenolic Compounds and the Antioxidant Activity of Acorn Flour and Pasta Enriched With Acorn Flour.” International Journal of Molecular Sciences 25, no. 10: 5404. 10.3390/ijms25105404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- López‐Martínez, L. X. , Aguirre‐Delgado A., Saenz‐Hidalgo H. K., Buenrostro‐Figueroa J. J., García H. S., and Baeza‐Jiménez R.. 2022. “Bioactive Ingredients of Huitlacoche (Ustilago maydis), a Potential Food Raw Material.” Food Chemistry: Molecular Sciences 4: 100076. 10.1016/j.fochms.2022.100076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Luna‐Cruz, I. E. , Sifuentes‐Estrada C. L., Rivas‐Martínez E. N., et al. 2025. “Characterization of β‐(1→3)‐D‐Glucan From the Mutant Strain BMA2 of Ustilago maydis: Physicochemical, Rheological, Cytotoxic, Antioxidant, and Immunomodulatory Properties for Industrial Applications.” Carbohydrate Polymer Technologies and Applications 10: 100818. 10.1016/j.carpta.2025.100818. [DOI] [Google Scholar]
- Luzardo‐Ocampo, I. , Flores‐Guajardo D., Rampírez‐Jiménez A. K., et al. 2025. “Sensory Evaluation and In Vitro Prebiotic Effect of (Poly)Phenols and Dietary Fiber‐Rich Mango Bagasse‐Enriched Confections.” Food Chemistry 465: 142149. 10.1016/j.foodchem.2024.142149. [DOI] [PubMed] [Google Scholar]
- Luzardo‐Ocampo, I. , Campos‐Vega R., Gaytán‐Martínez M., Preciado‐Ortiz R., Mendoza S., and Loarca‐Piña G.. 2017. “Bioaccessibility and Antioxidant Activity of Free Phenolic Compounds and Oligosaccharides From Corn (Zea mays L.) and Common Bean (Phaseolus vulgaris L.) Chips During In Vitro Gastrointestinal Digestion and Simulated Colonic Fermentation.” Food Research International 100: 304–311. 10.1016/j.foodres.2017.07.018. [DOI] [PubMed] [Google Scholar]
- Ma, Y. , Hu M., Zhou L., et al. 2018. “Dietary Fiber Intake and Risks of Proximal and Distal Colon Cancers.” Medicine 97, no. 36: e11678. 10.1097/MD.0000000000011678. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moffett, J. R. , Puthillathu N., Vengilote R., Jaworski D. M., and Namboodiri A. M.. 2020. “Acetate Revisited: A Key Biomolecule at the Nexus of Metabolism, Epigenetics and Oncogenesis—Part 1: Acetyl‐CoA, Acetogenesis and Acyl‐CoA Short‐Chain Synthetases.” Frontiers in Physiology 11: 580167. 10.3389/fphys.2020.580167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moniruzzaman, M. , Tuong D. T. C., Chin S., et al. 2025. “A Review on Pharmacological Insights of Edible and Medicinal Mushroom Based β‐Glucans.” Applied Biological Chemistry 68, no. 1: 41. [Google Scholar]
- Oomah, B. D. , Cardador‐Martínez A., and Loarca‐Piña G.. 2005. “Phenolics and Antioxidative Activities in Common Beans (Phaseolus vulgaris L).” Journal of the Science of Food and Agriculture 85, no. 6: 935–942. 10.1002/jsfa.2019. [DOI] [Google Scholar]
- Pacheco‐Ordaz, R. , Wall‐Medrano A., Goñi M. G., Ramos‐Clamont‐Montfort G., Ayala‐Zavala J. F., and González‐Aguilar G. A.. 2018. “Effect of Phenolic Compounds on the Growth of Selected Probiotic and Pathogenic Bacteria.” Letters in Applied Microbiology 66, no. 1: 25–31. 10.1111/lam.12814. [DOI] [PubMed] [Google Scholar]
- Pan, M. , Hidalgo‐Cantabrana C., Goh Y. J., Sanozky‐Dawes R., and Barrangou R.. 2020. “Comparative Analysis of Lactobacillus gasseri and Lactobacillus crispatus Isolated From Human Urogenital and Gastrointestinal Tracts.” Frontiers in Microbiology 10: 3146. 10.3389/fmicb.2019.03146. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Reddivari, L. , Charepalli V., Radhakrishnan S., et al. 2016. “Grape Compounds Suppress Colon Cancer Stem Cells In Vitro and in a Rodent Model of Colon Carcinogenesis.” BMC Complementary and Alternative Medicine 16, no. 1: 278. 10.1186/s12906-016-1254-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ribas, L. E. , Baravalle M. E., Gasser F. B., et al. 2021. “Extraction of Phenolic Compounds From the Shells of Pecan Nuts With Cytotoxic Activity Through Apoptosis Against the Colon Cancer Cell Line HT‐29.” Journal of Food Science 86, no. 12: 5409–5423. 10.1111/1750-3841.15950. [DOI] [PubMed] [Google Scholar]
- Roberfroid, M. 2007. “Prebiotics: The Concept Revisited.” Journal of Nutrition 137, no. 3: S830–S837. 10.1093/jn/137.3.830S. [DOI] [PubMed] [Google Scholar]
- Roncero‐Ramos, I. , Mendiola‐Lanao M., Pérez‐Clavijo M., and Delgado‐Andrade C.. 2017. “Effect of Different Cooking Methods on Nutritional Value and Antioxidant Activity of Cultivated Mushrooms.” International Journal of Food Sciences and Nutrition 68, no. 3: 287–297. 10.1080/09637486.2016.1244662. [DOI] [PubMed] [Google Scholar]
- Sallam, I. E. , Abdelwareth A., Attia H., et al. 2021. “Effect of Gut Microbiota Biotransformation on Dietary Tannins and Human Health Implications.” Microorganisms 9, no. 5: 965. 10.3390/microorganisms9050965. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sánchez‐Quezada, V. , Gaytán‐Martínez M., Recio I., and Loarca‐Piña G.. 2023. “Avocado Seed By‐Product Uses in Emulsion‐Type Ingredients With Nutraceutical Value: Stability, Cytotoxicity, Nutraceutical Properties, and Assessment of In Vitro Oral‐Gastric Digestion.” Food Chemistry 421: 136118. 10.1016/j.foodchem.2023.136118. [DOI] [PubMed] [Google Scholar]
- Shiga, T. M. , Lajolo F. M., and Filisetti T. M. C. C.. 2003. “Cell Wall Polysaccharides of Common Beans (Phaseolus vulgaris L.).” Ciência e Tecnologia de Alimentos 23, no. 2: 141–148. 10.1590/S0101-20612003000200007. [DOI] [Google Scholar]
- Shoukat, M. , and Sorrentino A.. 2021. “Cereal β‐Glucan: A Promising Prebiotic Polysaccharide and Its Impact on the Gut Health.” International Journal of Food Science and Technology 56, no. 5: 2088–2097. [Google Scholar]
- Singleton, V. L. , Orthofer R., and Lamuela‐Raventós R. M.. 1999. “Analysis of Total Phenols and Other Oxidation Substrates and Antioxidants by Means of Folin‐Ciocalteu Reagent.” Methods in Enzymology 299, no. 1999: 152–178. 10.1016/S0076-6879(99)99017-1. [DOI] [Google Scholar]
- Soto, K. M. , Luzardo‐Ocampo I., López‐Romero J., et al. 2022. “Gold Nanoparticles Synthesized With Common Mullein (Verbascum thapsus) and Castor Bean (Ricinus communis) Ethanolic Extracts Displayed Antiproliferative Effects and Induced Caspase 3 Activity in Human HT29 and SW480 Cancer Cells.” Pharmaceutics 14, no. 10: 2069. 10.3390/pharmaceutics14102069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tu, J. , Brennan M. A., Wu G., et al. 2021. “Delivery of Phenolic Compounds, Peptides and β‐Glucan to the Gastrointestinal Tract by Incorporating Dietary Fibre‐Rich Mushrooms Into Sorghum Biscuits.” Foods 10, no. 8: 1812. 10.3390/foods10081812. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Valdez‐Morales, M. , Barry K., Fahey G. C. Jr., et al. 2010. “Effect of Maize Genotype, Developmental Stage, and Cooking Process on the Nutraceutical Potential of Huitlacoche (Ustilago maydis).” Food Chemistry 119, no. 2: 689–697. 10.1016/j.foodchem.2009.07.015. [DOI] [Google Scholar]
- Valdez‐Morales, M. , Carlos L. C., Valverde M. E., Ramírez‐Chávez E., and Paredes‐López O.. 2016. “Phenolic Compounds, Antioxidant Activity and Lipid Profile of Huitlacoche Mushroom (Ustilago maydis) Produced in Several Maize Genotypes at Different Stages of Development.” Plant Foods for Human Nutrition 71, no. 4: 436–443. 10.1007/s11130-016-0572-3. [DOI] [PubMed] [Google Scholar]
- Villagrán, Z. , Martínez‐Reyes M., Gómez‐Rodríguez H., et al. 2023. “Huitlacoche (Ustilago maydis), an Iconic Mexican Fungal Resource: Biocultural Importance, Nutritional Content, Bioactive Compounds, and Potential Biotechnological Applications.” Molecules 28, no. 11: 4415. 10.3390/molecules28114415. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang, R. , Tu L., Pan D., et al. 2023. “A Comparative Study of Binding Interactions Between Proteins and Flavonoids in Angelica keiskei: Stability, α‐Glucosidase Inhibition and Interaction Mechanisms.” International Journal of Molecular Sciences 24, no. 7: 6582. 10.3390/ijms24076582. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang, S. P. , Rubio L. A., Duncan S. H., et al. 2020. “Pivotal Roles for pH, Lactate, and Lactate‐Utilizing Bacteria in the Stability of a Human Colonic Microbial Ecosystem.” MSystems 5, no. 5: e00645‐20. 10.1128/mSystems.00645-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang, S.‐Q. , Wang X.‐N., Li Y.‐Y., Di X.‐X., and Lou H.‐X.. 2014. “Identification of Purine‐Derived Compounds, Ustilagomaydisin A–C, From the Plant Pathogen Ustilago maydis and Their Modulating Effects on Multidrug‐Resistant (MDR) Tumors.” Phytochemistry Letters 10: 193–197. 10.1016/j.phytol.2014.09.006. [DOI] [Google Scholar]
- Weitkunat, K. , Schumann S., Nickel D., et al. 2016. “Importance of Propionate for the Repression of Hepatic Lipogenesis and Improvement of Insulin Sensitivity in High‐Fat Diet‐Induced Obesity.” Molecular Nutrition & Food Research 60, no. 12: 2611–2621. 10.1002/mnfr.201600305. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xie, Z. , He W., Gobbi A., Bertram H. C., and Nielsen D. S.. 2023. “The Effect of In Vitro Simulated Colonic pH Gradients on Microbial Activity and Metabolite Production Using Common Prebiotics as Substrates.” BMC Microbiology 24: 83. 10.1186/s12866-024-03235-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yang, N. , Qiu R., Yang S., et al. 2019. “Influences of Stir‐Frying and Baking on Flavonoid Profile, Antioxidant Property, and Hydroxymethylfurfural Formation During Preparation of Blueberry‐Filled Pastries.” Food Chemistry 287: 167–175. 10.1016/j.foodchem.2019.02.053. [DOI] [PubMed] [Google Scholar]
- Yu, W. , Zhang Y., Lu Y., et al. 2025. “Recent Research on the Bioactivity of Polyphenols Derived From Edible Fungi and Their Potential in Chronic Disease Prevention.” Journal of Functional Foods 124: 106627. 10.1016/j.jff.2024.106627. [DOI] [Google Scholar]
- Zhang, Y. , Hu J., Zhong Y., et al. 2024. “Insoluble/Soluble Fraction Ratio Determines Effects of Dietary Fiber on Gut Microbiota and Serum Metabolites in Healthy Mice.” Food & Function 15, no. 1: 338–354. 10.1039/D3FO04068B. [DOI] [PubMed] [Google Scholar]
- Zhao, Y. , Hu X., Zuo X., and Wang M.. 2018. “Chemopreventive Effects of Some Popular Phytochemicals on Human Colon Cancer: A Review.” Food & Function 9, no. 9: 4548–4568. 10.1039/C8FO00850G. [DOI] [PubMed] [Google Scholar]
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