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Article

Untargeted Metabolomic Profiling of Astragalus membranaceus Aqueous Extracts Fermented by Pediococcus acidilactici Using UHPLC-Orbitrap MS

Key Laboratory of Microbial Resources Exploitation and Application of Gansu Province, Institute of Biology, Gansu Academy of Sciences, Lanzhou 730000, China
*
Author to whom correspondence should be addressed.
Fermentation 2026, 12(3), 126; https://doi.org/10.3390/fermentation12030126
Submission received: 12 January 2026 / Revised: 8 February 2026 / Accepted: 21 February 2026 / Published: 27 February 2026
(This article belongs to the Section Fermentation for Food and Beverages)

Abstract

Astragalus membranaceus (AM) is a traditional medicinal and edible herb whose bioactive constituents suffer from low bioavailability. This study employed untargeted metabolomics based on ultra-high-performance liquid chromatography coupled with Orbitrap mass spectrometry (UHPLC-Orbitrap MS) to investigate metabolic alterations in AM aqueous extracts fermented by Pediococcus acidilactici (P. acidilactici) for 48 h. Multivariate statistical and pathway enrichment analyses identified 659 significantly altered metabolites (350 upregulated and 309 downregulated), which were primarily associated with organic acids, flavonoids, amino acid derivatives, alkaloids, phenylpropanoids and polyphenols. Fermentation markedly activated pathways related to arginine metabolism, carbon metabolism, and nicotinate and nicotinamide metabolism, accompanied by a substantial accumulation of functional compounds such as lactate, phenyllactic acid, indolelactic acid, and nicotinamide adenine dinucleotide (NAD+). Overall, P. acidilactici fermentation induced extensive metabolic reprogramming of AM aqueous extracts, leading to the enrichment of multiple bioactive metabolites and the activation of key functional processes. These findings provide mechanistic insights into probiotic fermentation of medicinal and edible herbs and offer a scientific basis for the development of value-added fermented AM beverages with improved nutritional and functional properties.

1. Introduction

Astragalus membranaceus, a perennial herb belonging to the Fabaceae family, is widely distributed in temperate regions of Asia, including northern China, Mongolia, and Russia [1,2]. The dried roots, mainly derived from A. membranaceus (Fisch.) Bge. Var. Mongholicus (Bge.) Hsiao or A. membranaceus (Fisch.) Bge., are collectively known as Astragali Radix (Huangqi) and have been extensively used as medicinal materials in traditional Chinese medicine (TCM) [3]. Phytochemical investigations have revealed that A. membranaceus is rich in diverse bioactive constituents, including polysaccharides, flavonoids, saponins, and alkaloids, which underpin its broad pharmacological activities, such as immunomodulatory, anti-fatigue, antioxidant, anti-inflammatory, antimicrobial, and antiviral effects [4,5]. In TCM theory, A. membranaceus is regarded as a representative qi-tonifying herb and is widely prescribed to alleviate conditions associated with qi deficiency, including chronic fatigue, edema, and general debility [6,7]. Owing to its combined medicinal and nutritional properties, A. membranaceus is also classified as a typical medicinal and edible homologous plant. This dual functionality has attracted increasing interest in its application as a functional food ingredient, particularly in the development of health-promoting beverages and dietary supplements [8].
Despite its considerable potential in functional food development, the application of A. membranaceus in deeply processed beverages remains limited. Conventional aqueous extraction methods often result in low bioavailability and poor intestinal absorption of bioactive constituents, thereby restricting their effective utilization in modern functional products. In addition, the intrinsic flavor profile of A. membranaceus extracts may further limit consumer acceptance. Probiotic fermentation has emerged as a promising strategy to overcome these limitations [9,10]. Through the action of microbial enzymatic systems, fermentation can degrade macromolecules into smaller, more bioavailable metabolites, enhance the release of bound phytochemicals, and generate novel functional compounds [11,12]. Simultaneously, fermentation can improve sensory characteristics by modulating taste-active metabolites and organic acid composition, thereby increasing the overall palatability and health-promoting value of fermented herbal products [13].
Among probiotic lactic acid bacteria, Pediococcus acidilactici is a homofermentative, Gram-positive strain commonly isolated from fermented foods, plant-derived materials, and the gastrointestinal tract of animals [14,15]. As an established probiotic, P. acidilactici exhibits high tolerance to acidic and bile salt conditions and is capable of producing bacteriocins such as pediocin, which contribute to product biosafety by inhibiting foodborne pathogens [16,17,18]. These properties have led to its widespread application in food fermentation and biopreservation. Notably, P. acidilactici possesses diverse enzymatic activities, including glycosidases and proteases, which enable the efficient biotransformation of complex plant substrates [19]. During fermentation, this strain can promote the accumulation of functional metabolites such as organic acids, phenyllactic acid, indolelactic acid, and phenolic derivatives, while simultaneously reducing undesirable components [20]. These metabolic transformations not only enhance nutritional value and flavor complexity but also improve the safety and functional potential of fermented products [21]. Therefore, P. acidilactici represents a promising microbial candidate for fermenting medicinal and edible homologous plants such as A. membranaceus.
Several studies have explored the biotransformation of A. membranaceus using various lactic acid bacteria to enhance its functional properties. For instance, fermentation with Lactobacillus plantarum has been shown to generate metabolites that modulate inflammatory responses and gut microbiota, alleviating conditions such as ulcerative colitis [22]. Additionally, fermentation of Astragalus polysaccharides by strains like Lactobacillus rhamnosus and Lactobacillus acidophilus can improve their prebiotic potential and promote calcium absorption [23]. Furthermore, solid-state fermentation of A. membranaceus by L. plantarum has been recently investigated to degrade macromolecular proteins and enhance the release of flavonoids for application in animal feed [24]. However, these previous investigations have predominantly focused on Lactobacillus species, isolated polysaccharide fractions, or solid-state matrices aimed at animal husbandry. In contrast, the fermentation of A. membranaceus aqueous extracts—a holistic liquid matrix more suitable for functional beverage development—using P. acidilactici remains largely unexplored, and a systematic metabolic elucidation of this process is still lacking. To address this gap, the present study employed UHPLC-Orbitrap MS-based untargeted metabolomics to comprehensively profile metabolic alterations in A. membranaceus aqueous extracts induced by P. acidilactici. Integrated multivariate statistical and KEGG pathway enrichment analyses were applied to identify key differential metabolites and affected metabolic pathways. By unveiling these strain-specific metabolic mechanisms, this work provides novel insights and a scientific foundation for developing value-added fermented A. membranaceus beverages with enhanced nutritional and functional properties.

2. Materials and Methods

2.1. Chemicals and Strain

Methanol, acetonitrile, ammonium hydroxide, and 2-propanol (LC-MS grade) were purchased from CNW Technologies (Düsseldorf, Germany). Ammonium acetate and acetic acid were obtained from Sigma-Aldrich Trading Co., Ltd. (Shanghai, China). Ultrapure water (18.2 MΩ·cm) was prepared using a Milli-Q purification system (Millipore, Burlington, MA, USA). The isotope-labeled internal standard 2-chloro-L-phenylalanine (10 μg/mL) was obtained from Sigma-Aldrich (St. Louis, MO, USA). Mobile phase A consisted of ultrapure water containing 25 mmol/L ammonium acetate and 25 mmol/L ammonium hydroxide, while mobile phase B was HPLC-grade acetonitrile. Pediococcus acidilactici (preservation no. GSICC31620) was obtained from the Gansu Microbial Culture Collection Center (Lanzhou, Gansu, China). Prior to inoculation, the strain was activated in de Man, Rogosa and Sharpe (MRS) broth (Hopebio, Qingdao, China) at 32 °C for 24 h.

2.2. Preparation and Fermentation of Astragalus membranaceus Extract

Superfine A. membranaceus powder (50 g, >1500 mesh; Shaanxi Wanyuan Biotechnology, Xi’an, China) was mixed with 1 L of ultrapure water and decocted at 100 °C for 2 h. The extract was cooled to room temperature, filtered through sterile cheesecloth to remove coarse residues, and centrifuged at 5000× g for 10 min at 25 °C. The resulting supernatant was collected as the aqueous extract. The extract was sterilized at 121 °C for 20 min and cooled before inoculation. Activated P. acidilactici culture was added at 1% (v/v), and fermentation was performed at 32 °C for 48 h under static conditions. Viable counts of P. acidilactici were determined using the plate counting method. Serial dilutions of the fermentation broth were spread onto MRS agar plates and incubated at 32 °C for 48 h. The initial inoculum concentration was 1.12 × 107 CFU/mL (7.05 log CFU/mL), and after 48 h of fermentation, the viable count reached 1.45 × 108 CFU/mL (8.16 log CFU/mL). Non-fermented extracts (CK) and fermented extracts (Pa) were stored at −80 °C until metabolomic analysis. Each group consisted of 10 biological replicates.

2.3. Metabolite Extraction

A 100 μL aliquot of each sample was transferred to a microcentrifuge tube and mixed with 400 μL of extraction solvent (methanol:acetonitrile = 1:1, v/v) containing 2-chloro-L-phenylalanine (10 μg/mL) as the internal standard. The mixture was vortexed for 30 s, sonicated in an ice-water bath for 10 min, and incubated at −40 °C for 1 h to precipitate proteins. Samples were then centrifuged at 13,800× g for 15 min at 4 °C. The supernatants were collected for UHPLC-Orbitrap MS analysis. Quality control (QC) samples were prepared by pooling equal aliquots of all processed sample extracts and analyzed periodically throughout the sequence to monitor system stability.

2.4. UHPLC-Orbitrap MS Analysis

Chromatographic separation was performed on a Vanquish UHPLC system (Thermo Fisher Scientific, Waltham, MA, USA) equipped with a Waters ACQUITY UPLC BEH Amide column (2.1 × 50 mm, 1.7 μm; Waters Corporation, Milford, MA, USA). The mobile phase consisted of solvent A (ultrapure water with 25 mmol/L ammonium acetate and 25 mmol/L ammonium hydroxide) and solvent B (acetonitrile). The injection volume was 2 μL, and the autosampler temperature was maintained at 4 °C. The gradient program was as follows: 0–11 min linear transition from 85% to 25% A, 11–12 min linear transition to 2% A, 12–14 min hold at 2% A, 14–14.1 min return to 85% A, and 14.1–16 min re-equilibration at 85% A. Mass spectrometric detection was performed on an Orbitrap Exploris 120 mass spectrometer (Thermo Fisher Scientific) operated in information-dependent acquisition (IDA) mode via Xcalibur 4.4. Full-scan MS and MS/MS spectra were acquired using the following parameters: sheath gas flow 50 Arb; auxiliary gas flow 15 Arb; capillary temperature 320 °C; full MS resolution 60,000; MS/MS resolution 15,000; stepped normalized collision energies (NCE) of 20, 30, and 40 eV; and spray voltage +3.8 kV (positive mode) or −3.4 kV (negative mode). Data were collected in both ionization modes to maximize metabolite coverage.

2.5. Data Processing and Statistical Analysis

All analyses were based on 10 biological replicates per group, consistent with the sample set submitted for UHPLC-Orbitrap MS metabolomic profiling. Raw LC-MS data were converted to mzXML format using ProteoWizard (v3.0.20) and processed in R (v4.1.2) using the XCMS Package (v3.18.0) for peak detection, retention time correction, alignment, and integration. Metabolites were annotated by matching MS/MS spectra against BiotreeDB v3.0 (Biotree Biological Technology Co., Ltd., Shanghai, China). QC samples were injected at regular intervals throughout the sequence to assess instrument stability. Principal component analysis (PCA) was used to evaluate overall metabolic variance and detect outliers, while orthogonal partial least squares discriminant analysis (OPLS-DA) was employed to identify discriminatory metabolites. Model robustness was assessed by seven-fold cross-validation and 200-time permutation testing. Differential metabolites were defined according to the following criteria: variable importance in projection (VIP) > 1, Student’s t-test p < 0.05, and fold change (FC) ≥ 1.5 or ≤0.67. Volcano plots and other graphical summaries were used for visualization. Pathway enrichment analysis was performed using MetaboAnalyst 5.0 based on KEGG annotations, and pathways with p < 0.05 were considered significantly affected.

3. Results and Discussion

3.1. UHPLC-Orbitrap MS-Based Metabolic Profiling of Astragalus membranaceus Extracts

To characterize the global metabolic profiles of A. membranaceus aqueous extracts before and after fermentation with Pediococcus acidilactici, untargeted UHPLC-Orbitrap MS analysis was performed in both positive and negative ionization modes. The total ion current (TIC) chromatograms of representative non-fermented control (CK) and fermented (Pa) samples are shown in Figure 1. Pronounced differences were observed between the two groups in terms of retention time distribution, peak intensity, and the number of detected features in both ionization modes, indicating substantial fermentation-induced metabolic alterations. Notably, the positive and negative ion modes captured distinct but complementary subsets of metabolites, reflecting differences in ionization efficiency and chemical properties of the detected compounds. The combined use of both ionization modes therefore enabled more comprehensive metabolome coverage and improved the reliability of downstream multivariate and differential analyses. Overall, these results demonstrate that P. acidilactici fermentation markedly reshaped the metabolic landscape of A. membranaceus aqueous extracts, providing a solid analytical basis for subsequent statistical discrimination and functional interpretation.

3.2. Multivariate Statistical Analysis

To further evaluate the impact of P. acidilactici fermentation on the metabolic profiles of A. membranaceus aqueous extracts, multivariate statistical analyses, including principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA), were performed. The PCA score plot revealed a clear separation between the non-fermented control (CK) and fermented (Pa) groups along the first principal component (PC1), indicating substantial global metabolic differences induced by fermentation (Figure 2A). PC1 and PC2 accounted for 57.5% and 3.3% of the total variance, respectively, with a cumulative contribution of 60.8%. All samples were distributed within the 95% confidence interval, except for one Pa sample (Pa 9), which showed a slight deviation but did not affect the overall clustering pattern. To enhance group discrimination and identify metabolites contributing to the observed differences, a supervised OPLS-DA model was constructed (Figure 2B). The model yielded R2X = 0.371, R2Y = 1.000, and Q2 = 0.975, indicating strong explanatory and predictive performance. To assess model robustness and exclude the possibility of overfitting, a 200-iteration permutation test was conducted. The resulting negative Q2 intercept confirmed that the model was statistically valid and not overfitted. Collectively, the PCA and OPLS-DA results demonstrate that P. acidilactici fermentation induced pronounced metabolic reprogramming in A. membranaceus aqueous extracts. The clear group separation observed in the unsupervised PCA reflects global metabolic shifts, while the supervised OPLS-DA model provides a reliable statistical framework for subsequent screening and interpretation of differential metabolites.

3.3. Analysis of Differential Metabolites

To comprehensively evaluate the metabolic alterations induced by P. acidilactici fermentation, differential metabolites in A. membranaceus aqueous extracts were screened based on the OPLS-DA model using the criteria of variable importance in projection (VIP) > 1, Student’s t-test p < 0.05, and fold change (FC) ≥ 1.5 or ≤0.67. A total of 659 differential metabolites were identified, among which 350 metabolites were significantly upregulated and 309 were downregulated following fermentation. These metabolites encompassed a wide range of chemical classes, including organic acids and their derivatives, amino acids and derivatives, nucleotides and related compounds, glycosides, flavonoids, alkaloids, phenylpropanoids, polyphenols, terpenoids, and saponins. Collectively, these results indicate that P. acidilactici fermentation induced extensive remodeling of the metabolite composition of A. membranaceus, which may underlie changes in its nutritional, sensory, and functional properties.
To visualize the overall distribution and statistical significance of differential metabolites, a volcano plot was constructed (Figure 3). Each point represents an individual metabolite, with the abscissa corresponding to the log2-transformed fold change between the Pa and CK groups, and the ordinate representing the −log10-transformed p-value. Metabolites without significant changes are shown in gray, whereas significantly upregulated and downregulated metabolites are highlighted in red and blue, respectively. The size of each point reflects its VIP value, indicating its contribution to group discrimination in the OPLS-DA model. As illustrated, a large number of metabolites exhibited significant abundance changes following fermentation, with both up- and downregulated metabolites broadly distributed across the metabolic space, highlighting the pronounced metabolic response induced by P. acidilactici fermentation.
To further characterize the metabolic alterations at the compositional level, differential metabolites were classified according to their chemical categories based on VIP ranking (Figure 4). Organic acids and their derivatives, amino acids and derivatives, nucleosides, glycosides, flavonoids, alkaloids, phenylpropanoids, polyphenols, terpenoids, and saponins constituted the predominant metabolite classes affected by fermentation. Variations in both metabolite diversity and relative abundance were observed across these categories, indicating that P. acidilactici fermentation exerted a broad impact on multiple metabolites of A. membranaceus.
Notably, metabolites closely related to the characteristic bioactive components of A. membranaceus—including organic acids, flavonoids, saponins, alkaloids, amino acid derivatives, and phenylpropanoids—were prominently modulated. These compound classes are well recognized for their contributions to the immunomodulatory, antioxidant, and health-promoting properties of A. membranaceus. The observed alterations suggest that P. acidilactici fermentation may influence the functional potential of the extract by reshaping key biosynthetic and transformation processes, thereby providing a biochemical basis for the development of fermented A. membranaceus products with enhanced nutritional and functional attributes.

3.3.1. Organic Acids and Their Derivatives

Organic acids and their derivatives play central roles in fermentation systems by influencing flavor development, microbial stability, and metabolic activity [25]. In the present study, 111 differential organic acids and related compounds were identified, among which 76 were significantly upregulated and 35 were downregulated after fermentation with P. acidilactici. These results indicate that fermentation markedly reshaped the organic acid profile of the A. membranaceus water extract. Following fermentation, several organic acids exhibited pronounced increases in relative abundance, including hydroxyphenyllactic acid, lactate, phenyllactic acid, indolelactic acid, 10-hydroxydecanoic acid, pyruvate, caproic acid, 2-hydroxyoctanoic acid, and hydroxyisocaproic acid. In contrast, metabolites such as royal jelly acid, fumaric acid, 5-oxooctanoic acid, L-malic acid, and pantothenic acid were significantly reduced. These coordinated changes suggest a substantial reorganization of organic acid metabolism during fermentation. Hydroxyphenyllactic acid, derived from tyrosine metabolism, has been reported to possess immunomodulatory and antimicrobial activities [26,27]. Lactate, a typical end product of lactic acid bacterial fermentation, increased by 18.97-fold, consistent with the reduction of pyruvate through lactate dehydrogenase-mediated reactions. Accumulation of lactate is commonly associated with redox balance maintenance and acidification of the fermentation environment, which may contribute to microbial stability and characteristic sensory properties. Phenyllactic acid, known for its antimicrobial activity against a broad range of microorganisms, may further enhance product preservation [28,29,30]. Indolelactic acid, a tryptophan-derived metabolite produced by lactic acid bacteria, has been associated with anti-inflammatory responses and gut barrier function in previous studies [31]. The increased abundance of 10-hydroxydecanoic acid may reflect microbial transformation of fatty acid precursors during fermentation. Conversely, the relative abundance of malic acid decreased by 12.66-fold after fermentation. This reduction is likely related to malolactic conversion, in which malic acid is transformed into lactic acid by lactic acid bacteria, resulting in a softer acid profile [32]. Such conversion has been widely reported to reduce sharp acidity and improve sensory quality in fermented products. The observed decrease in pantothenic acid may be associated with its utilization as a precursor for coenzyme A biosynthesis or with its instability under acidic fermentation conditions.

3.3.2. Amino Acids and Their Derivatives

Amino acids and their derivatives, serving as critical nitrogen sources and bioactive constituents, underwent systematic metabolic reorganization during fermentation. A total of 88 differential amino acids and derivatives were identified, among which 40 were significantly upregulated and 48 were downregulated. Following fermentation, several functional amino acid derivatives exhibited a substantial accumulation. Notably, N1,N8-diacetylspermidine showed the most dramatic increase with an FC of 84.61. In addition, metabolites such as ornithine, N-acetylputrescine, citrulline, methyldopa, S-methyl-L-methionine (vitamin U) and creatine were significantly upregulated. In contrast, the levels of several primary amino acids, including phenylalanine, arginine, serine and argininosuccinic acid, decreased significantly. The concurrent depletion of arginine and the enrichment of ornithine and citrulline strongly suggest the activation of the arginine deiminase pathway. This pathway is a well-established mechanism in lactic acid bacteria for generating ATP and enhancing acid tolerance through the catabolism of arginine into ornithine, ammonia, and carbon dioxide [33,34]. Furthermore, the enrichment of methionine derivatives such as S-methyl-L-methionine suggests the modulation of cysteine and methionine metabolism, potentially contributing to the gastroprotective effects of the fermented product [35,36]. Furthermore, a broad spectrum of dipeptides—such as Leu-Glu, Phe-Ala, Val-Val, Lys-Glu, and Ile-Pro—were markedly downregulated. This widespread reduction in dipeptide abundance likely reflects the efficient transport and proteolytic hydrolysis of peptides by the proteolytic system of P. acidilactici to support microbial growth and nitrogen assimilation.

3.3.3. Flavonoid Compounds

Flavonoids, one of the major bioactive constituents of A. membranaceus, underwent notable alterations during fermentation. A total of 33 flavonoid-related differential metabolites were identified, including 17 upregulated and 16 downregulated compounds, indicating a bidirectional modulation of flavonoid metabolism by P. acidilactici fermentation. Among the upregulated flavonoids, isoliquiritigenin showed the most pronounced increase, suggesting its strong contribution to the differentiation between fermented and non-fermented samples. Isoliquiritigenin is a chalcone-type flavonoid reported to exhibit antioxidant, anti-inflammatory, and antiproliferative activities [37,38]. Its marked accumulation after fermentation may be associated with microbial enzymatic processes such as deglycosylation or structural conversion of precursor flavonoids [39]. In addition, several other flavonoids—including catechin, licochalcone A, formononetin, naringenin-7-O-glucoside, homoplantaginin, diosmetin, hydroxygenkwanin, tectorigenin, isoverbascoside, isoformononetin, and 5-hydroxyflavone—also showed increased abundance following fermentation. These compounds have been widely reported to possess antioxidant, anti-inflammatory, and immunomodulatory properties [40,41,42], suggesting that fermentation may influence the functional composition of flavonoids in A. membranaceus. Notably, isoformononetin, a characteristic isoflavone of A. membranaceus, exhibited a significant increase after fermentation, consistent with enrichment of representative bioactive constituents of this herb. Such accumulation may reflect microbial transformation processes that favor the release of aglycones or enhance the relative abundance of more bioactive forms. In contrast, several flavonoids, including morusin, hesperetin dihydrochalcone, and eucannabinolide A, were significantly decreased. These reductions may be attributable to enzymatic degradation, glycosidic hydrolysis, or further microbial metabolism during fermentation. Overall, although the levels of individual flavonoids varied, the flavonoid profile of the fermented extract was substantially restructured.

3.3.4. Alkaloids

Alkaloids, an important group of nitrogen-containing secondary metabolites in A. membranaceus, also exhibited marked compositional changes following fermentation. In total, 21 alkaloid-related differential metabolites were identified, including 15 upregulated and 6 downregulated compounds, indicating that P. acidilactici fermentation substantially influenced alkaloid-related metabolic features. Among the upregulated alkaloids, 6,7-dimethoxyquinolin-4-ol showed the most pronounced increase and a high VIP value, highlighting its contribution to group discrimination. Several other alkaloids or alkaloid-like compounds—including coclaurine A, N-feruloyloctopamine, N-acetylhistamine, columbamine, allocryptopine, corynine, vindoline, and berberine-related compounds—also exhibited increased abundance after fermentation. These compounds have been reported in plant-derived or fermentation-associated matrices and are known to display diverse biological activities, including anticancer, antimicrobial, antioxidant, neuroactive, and anti-inflammatory effects [43,44,45]. Their increased detection may be associated with microbial biotransformation processes, such as enzymatic modification or enhanced extractability of bound forms. Vindoline, a monoterpene indole alkaloid precursor, has been reported to participate in alkaloid biosynthesis in plants [46]. Its increased abundance after fermentation may reflect microbial-mediated liberation or transformation rather than de novo synthesis. Similarly, berberine-related compounds, which share structural features with known isoquinoline alkaloids, have been associated with antimicrobial and metabolic regulatory activities and may contribute to the functional properties of the fermented extract. In contrast, several alkaloids, including ionone, 4,5-dimethylsimeondine, piperolactam D, carlina oxide, and solanine D, were significantly reduced after fermentation. These decreases may result from microbial degradation or conversion into other nitrogen-containing metabolites during fermentation.

3.3.5. Phenylpropanoids

Phenylpropanoids, a major class of plant-derived secondary metabolites, showed pronounced compositional changes during fermentation. A total of 21 phenylpropanoid-related differential metabolites were identified, including 11 upregulated and 10 downregulated compounds, indicating extensive modulation of phenylpropanoid metabolism by P. acidilactici. Among the upregulated phenylpropanoids, several coumarin derivatives accumulated markedly. Specifically, 8-acetyl-7-hydroxy-4-methylcoumarin, 7-hydroxy-4-methylcoumarin-3-acetic acid, and 8-acetyl-7-hydroxycoumarin increased by 27.28-fold, 19.16-fold, and 14.07-fold, respectively. Their increased abundance suggests that fermentation may promote transformation or enrichment of specific phenylpropanoid derivatives. In addition, phenylpropanoid glycosides such as uhdoside A, docynicaside A, and α-peltatin were also significantly upregulated, contributing to increased chemical diversity. In contrast, the abundance of 7-hydroxy-3-(2-methoxyphenyl) coumarin decreased after fermentation. Several other phenylpropanoid-related compounds, including 3-indoleacetonitrile, meranzin hydrate, and 5-carboxymellein, were also reduced. These changes may be associated with microbial-mediated biotransformation processes such as glycosidic hydrolysis or side-chain modification, reflecting a redistribution of phenylpropanoid-related metabolites rather than simple accumulation or depletion.

3.3.6. Polyphenols

Polyphenols, which contribute substantially to the antioxidant capacity of A. membranaceus, also exhibited notable changes following fermentation. In total, 19 polyphenol-related differential metabolites were identified, including 10 upregulated and 9 downregulated compounds, indicating bidirectional modulation of polyphenol metabolism during fermentation. Several polyphenols—including macluraxanthone, oxyresveratrol, 2′,5′-dihydroxyacetophenone, sanggenon A, octyl gallate, resveratrol, and emodin—showed increased abundance after fermentation. These compounds have been widely reported to possess antioxidant, anti-inflammatory, and antiproliferative activities [47]. Their enrichment may be attributed to microbial-mediated liberation or transformation of polyphenolic precursors within the A. membranaceus matrix. Resveratrol, a well-studied stilbenoid polyphenol, plays important roles in redox regulation and metabolic health [47]. Emodin, a representative anthraquinone derivative, has also been reported to exhibit antioxidant and anti-inflammatory activities [48]. The increased abundance of these compounds following fermentation likely reflects microbial enzymatic processes such as deglycosylation or structural modification. In contrast, certain polyphenols, including phloroglucinol, were significantly reduced after fermentation, possibly due to further microbial metabolism or utilization. These changes collectively indicate dynamic restructuring of the polyphenol profile during P. acidilactici fermentation.

3.4. Metabolic Pathway Analysis

To gain a systems-level understanding of the metabolic reorganization induced by P. acidilactici fermentation, pathway enrichment analysis was performed based on KEGG annotations of the identified differential metabolites. Rather than reflecting isolated changes in individual compounds, the enrichment results revealed coordinated modulation of multiple metabolic modules, primarily involving amino acid metabolism, central carbon metabolism, and the metabolism of cofactors and vitamins. These pathway-level alterations suggest that fermentation reshapes the metabolic network of A. membranaceus aqueous extracts in an integrated and functionally oriented manner. The global trends of pathway perturbation are summarized in the differential abundance (DA) score plot (Figure 5), which integrates both the number and directional changes of metabolites within each pathway. Positive DA scores, indicating overall upregulation, were predominantly associated with amino acid biosynthesis, carbon metabolism, and cofactor metabolism, whereas negative DA scores, such as pyrimidine metabolism and ABC transporters, exhibited an overall downregulation. This asymmetric distribution implies a metabolic shift favoring biosynthetic and energy-related processes during fermentation.
Amino acid metabolism emerged as the most prominently affected metabolic domain. Multiple pathways, including cysteine and methionine metabolism, glycine/serine/threonine metabolism, and alanine/aspartate/glutamate metabolism, were significantly enriched. Among these, arginine metabolism showed the strongest activation. This observation is consistent with the substantial post-fermentation increase in amino acids and their derivatives, including metabolites such as citrulline and creatine. From a biological perspective, enhanced arginine metabolism may reflect increased nitrogen assimilation and redistribution, which are essential for supporting microbial growth and metabolic activity during fermentation. In addition, arginine-related metabolites have been reported to contribute to immunomodulatory and metabolic regulatory functions [49], suggesting potential relevance to the functional properties of the fermented extract. Central carbon metabolism also underwent marked reorganization following fermentation. Core pathways, including carbon metabolism and 2-oxocarboxylic acid metabolism, were generally upregulated, indicating intensified turnover of carbon skeletons and enhanced metabolic flux through energy-related pathways. Concurrent enrichment of the pentose phosphate pathway suggests an increased generation of reducing equivalents, such as NADPH, which are required for anabolic reactions and redox homeostasis. These changes collectively point to an elevated metabolic activity state in the fermentation system, characterized by coordinated energy production and biosynthesis. Notably, pathways involved in the metabolism of cofactors and vitamins were significantly activated. In particular, pantothenate and coenzyme A biosynthesis, as well as nicotinate and nicotinamide metabolism, exhibited strong enrichment. This finding is in agreement with the pronounced accumulation of nicotinamide adenine dinucleotide (NAD+) observed after fermentation. As a central redox cofactor, NAD+ plays a critical role in cellular energy metabolism and oxidative balance. Its increased abundance may therefore reflect enhanced redox cycling and metabolic efficiency within the fermentation matrix, potentially contributing to the improved functional and antioxidant characteristics of the fermented product.
In contrast, several pathways associated with nucleotide metabolism and membrane transport, including pyrimidine metabolism and ABC transporters, were downregulated. The suppression of ABC transporter-related pathways may be indicative of altered substrate uptake and transport requirements during fermentation, possibly reflecting a transition from nutrient acquisition toward intracellular metabolic processing. Although D-amino acid metabolism was also annotated, its functional significance in this context remains unclear and warrants further investigation.

4. Conclusions

This study demonstrates that P. acidilactici fermentation induces a coordinated reorganization of central metabolic networks in A. membranaceus aqueous extracts, rather than isolated changes in individual metabolites. Untargeted UHPLC-Orbitrap MS-based metabolomic analysis revealed that fermentation systematically reshaped amino acid metabolism, carbon metabolism, and cofactor biosynthesis, resulting in pronounced shifts in metabolic fluxes associated with energy balance, redox regulation, and biosynthetic capacity. In particular, the activation of arginine biosynthesis, together with enhanced carbon metabolism and nicotinate/nicotinamide metabolism, reflects an integrated metabolic response driven by microbial activity and substrate transformation. These pathway-level alterations provide a mechanistic framework for understanding the metabolic basis of probiotic fermentation in medicinal and edible herbs.
At the metabolite level, fermentation led to the accumulation of multiple functionally relevant compounds, including lactate, phenyllactic acid, indolelactic acid, isoliquiritigenin, and NAD+, while reducing the abundance of certain precursor or intermediate metabolites. The coordinated enrichment of organic acids, flavonoids, alkaloids, phenylpropanoids, and polyphenols suggests that P. acidilactici fermentation not only enhances metabolite diversity but also favors the formation of compounds associated with antimicrobial activity, redox regulation, and immunomodulatory potential. These compositional shifts are consistent with the observed pathway activation patterns and highlight the role of microbial biotransformation in modulating the functional properties of A. membranaceus extracts.
Collectively, the present findings provide systematic metabolomic evidence that fermentation with P. acidilactici elicits a distinct metabolic reprogramming in A. membranaceus aqueous extracts, characterized by strain-specific biochemical signatures. The pronounced accumulation of phenyllactic acid, indolelactic acid, and isoliquiritigenin, coupled with the marked activation of arginine metabolism and nicotinamide metabolism, underscores the unique enzymatic capabilities of P. acidilactici in transforming this herbal matrix. These strain-directed alterations not only enrich the extract with metabolites linked to antimicrobial, antioxidant, and immunomodulatory functions but also differentiate the fermented product from those obtained with commonly used Lactobacillus species. Consequently, this work establishes a strain-specific scientific foundation for developing P. acidilactici-fermented A. membranaceus beverages with enhanced and potentially distinctive functional and sensory profiles, advancing the rational selection of probiotics for the targeted biotransformation of medicinal and edible plants.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/fermentation12030126/s1. Table S1: Differentially expressed metabolites.

Author Contributions

J.S.: Conceptualization, Methodology, Investigation, Writing—Original Draft. W.-W.L.: Investigation, Validation, Data Curation. B.L.: Formal Analysis, Software, Visualization. C.L.: Formal Analysis, Validation. T.M.: Writing—Review and Editing, Language Polishing, Manuscript Structure and Logic, Methodology (strain activation and fermentation guidance). B.J.: Conceptualization, Supervision, Methodology. Z.-Y.W.: Conceptualization, Funding Acquisition, Project Administration, Writing—Review and Editing, Supervision, Correspondence. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Youth Fund of Gansu Academy of Sciences, grant number 2023QN-04. The APC was funded by the Gansu Academy of Sciences.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in the Supplementary Material (Table S1: Differentially expressed metabolites).

Conflicts of Interest

The authors declare no conflicts of interest.

References

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Figure 1. Total ion current (TIC) chromatograms of A. membranaceus samples before (CK) and after fermentation (Pa). (A) CK in positive ion mode; (B) CK in negative ion mode; (C) Pa in positive ion mode; (D) Pa in negative ion mode.
Figure 1. Total ion current (TIC) chromatograms of A. membranaceus samples before (CK) and after fermentation (Pa). (A) CK in positive ion mode; (B) CK in negative ion mode; (C) Pa in positive ion mode; (D) Pa in negative ion mode.
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Figure 2. Multivariate statistical analysis of A. membranaceus aqueous extracts before (CK) and after fermentation with P. acidilactici (Pa). (A) PCA score plot showing the distribution of CK and Pa samples; the ellipse indicates the 95% confidence interval. (B) OPLS-DA score plot discriminating CK and Pa groups (R2X = 0.371, R2Y = 1.000, Q2 = 0.975); model robustness was evaluated by a 200-iteration permutation test. (C) Permutation histogram test of OPLS-DA model for group CK and Pa. (D) Permutation plot test of OPLS-DA model for group CK and Pa.
Figure 2. Multivariate statistical analysis of A. membranaceus aqueous extracts before (CK) and after fermentation with P. acidilactici (Pa). (A) PCA score plot showing the distribution of CK and Pa samples; the ellipse indicates the 95% confidence interval. (B) OPLS-DA score plot discriminating CK and Pa groups (R2X = 0.371, R2Y = 1.000, Q2 = 0.975); model robustness was evaluated by a 200-iteration permutation test. (C) Permutation histogram test of OPLS-DA model for group CK and Pa. (D) Permutation plot test of OPLS-DA model for group CK and Pa.
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Figure 3. Volcano plot of differential metabolites in A. membranaceus aqueous extracts before (CK) and after fermentation with P. acidilactici (Pa).
Figure 3. Volcano plot of differential metabolites in A. membranaceus aqueous extracts before (CK) and after fermentation with P. acidilactici (Pa).
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Figure 4. Classification and abundance of differential metabolites in A. membranaceus aqueous extracts after fermentation with P. acidilactici compared with the non-fermented control.
Figure 4. Classification and abundance of differential metabolites in A. membranaceus aqueous extracts after fermentation with P. acidilactici compared with the non-fermented control.
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Figure 5. Differential abundance (DA) score analysis of metabolic pathways in A. membranaceus aqueous extracts after fermentation with P. acidilactici. Asterisks indicate the statistical significance of pathway enrichment based on Fisher’s exact test: ** p < 0.01, *** p < 0.001.
Figure 5. Differential abundance (DA) score analysis of metabolic pathways in A. membranaceus aqueous extracts after fermentation with P. acidilactici. Asterisks indicate the statistical significance of pathway enrichment based on Fisher’s exact test: ** p < 0.01, *** p < 0.001.
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Song, J.; Lu, W.-W.; Li, B.; Li, C.; Mao, T.; Ji, B.; Wang, Z.-Y. Untargeted Metabolomic Profiling of Astragalus membranaceus Aqueous Extracts Fermented by Pediococcus acidilactici Using UHPLC-Orbitrap MS. Fermentation 2026, 12, 126. https://doi.org/10.3390/fermentation12030126

AMA Style

Song J, Lu W-W, Li B, Li C, Mao T, Ji B, Wang Z-Y. Untargeted Metabolomic Profiling of Astragalus membranaceus Aqueous Extracts Fermented by Pediococcus acidilactici Using UHPLC-Orbitrap MS. Fermentation. 2026; 12(3):126. https://doi.org/10.3390/fermentation12030126

Chicago/Turabian Style

Song, Jie, Wei-Wen Lu, Bin Li, Chen Li, Ting Mao, Bin Ji, and Zhi-Ye Wang. 2026. "Untargeted Metabolomic Profiling of Astragalus membranaceus Aqueous Extracts Fermented by Pediococcus acidilactici Using UHPLC-Orbitrap MS" Fermentation 12, no. 3: 126. https://doi.org/10.3390/fermentation12030126

APA Style

Song, J., Lu, W.-W., Li, B., Li, C., Mao, T., Ji, B., & Wang, Z.-Y. (2026). Untargeted Metabolomic Profiling of Astragalus membranaceus Aqueous Extracts Fermented by Pediococcus acidilactici Using UHPLC-Orbitrap MS. Fermentation, 12(3), 126. https://doi.org/10.3390/fermentation12030126

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