Microbial Bioactives

1. Introduction

Fungi, perhaps more than most biological systems, occupy an uneasy yet fascinating position between nourishment and danger. On one hand, edible mushrooms have been woven into culinary traditions for centuries, valued not only for their distinct umami character but also for their emerging role as functional foods. On the other, certain species remain among the most toxic natural organisms known. This duality—almost paradoxical in nature—continues to shape scientific inquiry into fungal biology. Increasingly, research is moving beyond simple compositional descriptions, attempting instead to understand how biochemical complexity translates into nutritional benefit or, in some cases, life-threatening toxicity.

Edible mushrooms such as Hypsizygus marmoreus, Lentinula edodes, and Pleurotus ostreatus are frequently highlighted as exemplary models of this beneficial side of fungal metabolism. Their value extends well beyond macronutrient content, encompassing a wide array of bioactive molecules that contribute to antioxidant, immunomodulatory, and even anticancer effects (Rahi & Malik, 2016; Elhusseiny et al., 2021). Still, the appreciation of mushrooms as nutraceuticals is not entirely straightforward. Flavor, for instance, is not a fixed trait but rather an outcome of dynamic metabolic processes influenced by growth stage, environmental conditions, and genetic background (Cho et al., 2007; Politowicz et al., 2018).

In fact, even within a single fruiting body, compositional heterogeneity can be surprisingly pronounced. The cap and stipe—structures that may appear functionally similar at first glance—often diverge significantly in their biochemical profiles. Caps tend to accumulate higher levels of amino acids and secondary metabolites associated with taste and bioactivity, whereas stipes more frequently serve as repositories of structural carbohydrates (Park et al., 2017; Wang et al., 2018). Such spatial differentiation suggests that mushrooms are not uniform biological entities but rather metabolically compartmentalized systems, an idea that is gaining increasing attention in food science and metabolomics. A slightly more nuanced layer of variation also emerges when considering how maturity, strain specificity, and growth conditions collectively shape mushroom composition. Earlier work has shown that the stage of fruiting body development can significantly influence both antimicrobial activity and chemical profiles, with measurable shifts in bioactive compounds as maturation progresses (Barros et al., 2007). Similarly, differences in strain selection and cultivation substrates have been linked to variability in taste-related components, suggesting that metabolic output is not only developmentally regulated but also highly context-dependent (Harada et al., 2004). Complementing these findings, metabolite profiling approaches using mass spectrometry have further demonstrated that antioxidant capacity and biochemical composition can vary markedly across growth stages, reinforcing the idea that mushrooms represent dynamic biochemical systems rather than static nutritional entities (Lee et al., 2012).

Temporal variation adds another layer of complexity. During development, mushrooms undergo substantial metabolic reprogramming. Early stages are typically characterized by elevated levels of amino acids, nucleotides, and terpenoid compounds—metabolites closely associated with both flavor intensity and therapeutic potential (Harada et al., 2003; Son et al., 2019). As maturation progresses, however, these profiles often shift toward carbohydrate accumulation and energy storage, subtly altering both taste and nutritional value. Similar developmental trends have been observed across plant systems, reinforcing the broader biological principle that metabolic states are tightly linked to growth phases (Lee et al., 2015; Jang et al., 2015).

The mechanisms underlying these transitions are increasingly being unraveled through integrated “omics” approaches. Metabolomics, when combined with transcriptomics and proteomics, allows for a more holistic understanding of how metabolic networks are regulated. Studies have shown that gene-to-metabolite interactions form intricate networks that ultimately determine the biochemical output of an organism (Hirai et al., 2005; Wang et al., 2013). In mushrooms, these tools have revealed how environmental factors—such as nitrogen availability or cultivation method—can modulate metabolite accumulation, influencing both sensory properties and bioactivity (Kim et al., 2016; Huang et al., 2018).

Yet, despite these advances, our understanding of fungal metabolomes remains incomplete. The annotation of metabolites, particularly secondary compounds, continues to lag behind data generation, leaving a significant portion of biochemical diversity unexplored (Viant et al., 2017). This gap is not merely academic; it has practical implications for food science, pharmacology, and biotechnology, where unidentified compounds may hold considerable functional potential.

At the same time, the beneficial narrative surrounding mushrooms is counterbalanced by the persistent threat posed by toxic species. Among these, Amanita phalloides, commonly known as the Death Cap, stands out as one of the most notorious. Its toxicity is primarily attributed to amatoxins—cyclic peptides that selectively inhibit RNA polymerase II, thereby halting protein synthesis and triggering cellular apoptosis (Li & Oberlies, 2005; Walton, 2018). Clinically, poisoning follows a deceptive progression, beginning with a latent phase before advancing to gastrointestinal distress and, ultimately, acute liver failure (Ye & Liu, 2018; Kayes & Ho, 2024).

What makes A. phalloides particularly dangerous is not only its biochemical potency but also its morphological similarity to edible species. Misidentification remains a recurring issue, sometimes with fatal consequences. Historical accounts and toxicological studies alike underscore the enduring challenge of distinguishing safe from hazardous fungi (Marmion & Wiedemann, 2002; Ye & Liu, 2018). In this context, analytical techniques have become indispensable. Modern methods such as UPLC-MS/MS offer rapid and precise detection of amatoxins, significantly improving diagnostic accuracy and clinical response (Kayes & Ho, 2024).

Beyond toxicity, the broader biochemical diversity of mushrooms continues to attract attention for therapeutic applications. Bioactive compounds, including phenolics, flavonoids, and polysaccharides, have been associated with anti-inflammatory, hypoglycemic, and antimicrobial effects (Muszynska et al., 2018; Hwang et al., 2005). Certain species also produce antibacterial substances capable of inhibiting pathogenic microbes, suggesting potential roles in combating antibiotic resistance (Smânia et al., 1995; Rahi & Malik, 2016).

Interestingly, these functional properties are not static but are shaped by environmental and developmental factors. Cultivation strategies, including strain selection and breeding, have been employed to enhance desirable traits such as flavor and bioactivity (Sun et al., 2014; Lee et al., 2014). Enzymatic processes involved in fruiting body formation further illustrate the complexity of fungal development and its influence on metabolite production (Wagemaker et al., 2007; Moore et al., 2008).

Taken together, these observations suggest that mushrooms represent a highly dynamic biological system, where nutritional, therapeutic, and toxicological properties are deeply interconnected. The same metabolic pathways that generate beneficial compounds can, under different circumstances, produce potent toxins. Understanding this balance requires not only detailed biochemical analysis but also an integrative perspective that considers ecological, developmental, and technological factors.

Against this backdrop, the present review seeks to synthesize current knowledge on edible and poisonous mushrooms. By integrating findings from metabolomics, proteomics, and toxicology, the review aims to provide a comprehensive framework for understanding fungal bioactivity. Particular emphasis is placed on how metabolite composition varies across species, developmental stages, and environmental conditions, and how these variations translate into functional outcomes. Ultimately, such an approach may help bridge the gap between traditional knowledge and modern scientific insight, guiding both safe consumption and innovative applications in food and medicine.

2. Materials and Methods

2.1 Study Design and Approach

This study was designed as a review, structured in a way that remains systematic yet sufficiently flexible to capture the breadth and complexity of research on edible and poisonous mushrooms. Rather than imposing rigid quantitative synthesis at the outset, the approach emphasized conceptual integration across multiple scientific domains, including metabolomics, proteomics, and toxicology. This decision reflects an acknowledgment that the existing literature is inherently heterogeneous, with considerable variation in experimental design, analytical techniques, and reporting standards. Under such conditions, a strictly quantitative framework may risk oversimplification, whereas a narrative synthesis allows for a more nuanced interpretation of interconnected findings.

2.2 Literature Search Strategy

A comprehensive literature search was conducted using major electronic databases, including PubMed, Scopus, Web of Science, and Google Scholar. The search encompassed studies published up to the year 2025, ensuring that both foundational research and recent developments were included. Keywords were carefully selected to reflect the multidimensional scope of the review, incorporating terms related to mushroom species, metabolomics, bioactive compounds, antioxidant activity, and fungal toxicity. Boolean operators were applied to refine and optimize search results, while manual screening of reference lists from retrieved articles was performed to identify additional relevant studies that may not have been captured through database searches alone.

2.3 Study Selection Criteria

The study selection process followed a staged and systematic approach. Initially, titles and abstracts were screened to exclude studies that were clearly outside the scope of the review. Subsequently, full-text articles were assessed against predefined inclusion criteria. Studies were deemed eligible if they provided information on edible mushroom composition, bioactive compounds, metabolomic or proteomic analyses, or the toxicological characteristics of poisonous species. Particular emphasis was placed on studies offering quantitative data or mechanistic insights, as these were considered especially valuable for comparative and integrative analysis.

2.4 Data Extraction and Management

Given the diversity of methodologies employed across the selected studies, data extraction required a degree of interpretive flexibility. A structured data collection framework was used to systematically record key variables, including mushroom species, developmental stage, tissue type, cultivation conditions, and analytical techniques. Where available, quantitative data such as antioxidant activity, phenolic content, and metabolite concentrations were extracted. For toxicological studies, particular attention was given to toxin composition, detection methods, and reported clinical outcomes. This structured yet adaptable approach ensured that relevant information was captured while accommodating methodological variability.

2.5 Quality Assessment

To enhance consistency and reliability, data extraction was performed independently by two reviewers. Any discrepancies were resolved through discussion, and where necessary, consensus was achieved through further evaluation. Due to the methodological diversity of the included studies, formal risk-of-bias scoring systems were not uniformly applicable. Instead, a qualitative assessment was conducted based on criteria such as experimental design robustness, reproducibility, and clarity of reporting. This approach allowed for a balanced evaluation while avoiding overreliance on rigid scoring frameworks that may not fully reflect the interdisciplinary nature of the research.

2.6 Data Synthesis

The synthesis of findings was conducted in two complementary phases. First, quantitative data were summarized descriptively to identify general patterns in metabolite composition, antioxidant activity, and bioactive potential across different mushroom species and conditions. Second, a qualitative synthesis was undertaken to integrate these findings within broader biological and functional contexts. For instance, metabolomic data were interpreted alongside transcriptomic evidence to better understand regulatory pathways, while toxicological findings were contextualized within clinical frameworks. This dual approach enabled both pattern recognition and deeper mechanistic interpretation.

2.7 Integration of Omics Technologies

An important component of this review involved the incorporation of studies utilizing advanced “omics” technologies. These approaches have significantly expanded our understanding of fungal biology by elucidating metabolic pathways, gene expression patterns, and regulatory networks. The integration of metabolomic, transcriptomic, and proteomic data provides a more comprehensive and systems-level perspective of mushroom functionality (Hirai et al., 2005; Wang et al., 2013). However, it is also recognized that these technologies are not without limitations, particularly in terms of incomplete metabolite annotation and data interpretation challenges, which remain ongoing concerns in the field (Viant et al., 2017).

2.8 Interpretation and Limitations

In synthesizing the literature, careful attention was paid to avoiding overgeneralization. Variability across species, environmental conditions, and experimental designs was treated not as a limitation but as an inherent characteristic of fungal biology. Where conflicting results were encountered, these were critically examined in relation to methodological differences or contextual factors, rather than being excluded. This approach ensures that the review reflects the true complexity of the field while maintaining interpretive balance.

2.9 Overall Methodological Framework

Ultimately, this methodological framework was designed to balance analytical rigor with interpretive depth. By integrating diverse lines of evidence, the review aims to provide a comprehensive and nuanced understanding of mushrooms as both nutritional resources and toxicological risks. Although the approach does not rely on exhaustive statistical pooling, it offers a structured synthesis that can inform future research directions, cultivation strategies, and clinical considerations. Through this integrative perspective, the study contributes to a more holistic understanding of fungal biology and its implications for human health.

3. Results

3.1 Antioxidant Potential and Bioactive Profiles Across Edible Mushrooms

The synthesis of available data reveals a consistent yet nuanced pattern in the antioxidant potential of commonly studied edible mushrooms, particularly Pleurotus ostreatus, Lentinula edodes, and Hypsizygus marmoreus. Rather than presenting these findings as pooled statistical outputs, the narrative integration highlights trends emerging across experimental studies and summarized datasets (Table 1; Figure 1).

Table 1. Antioxidant activity of selected edible mushrooms assessed by radical scavenging assays. This table summarizes the antioxidant capacity of Pleurotus ostreatus and Lentinula edodes based on DPPH and ABTS assays, expressed as IC50 values (µg/mL). Lower IC50 values indicate stronger free radical scavenging activity. Trolox is included as a standard reference antioxidant to enable comparative evaluation of mushroom-derived bioactivity across assays.

Notes: IC50 (half-maximal inhibitory concentration) measures the concentration required to scavenge 50% of free radicals; lower values indicate stronger antioxidant activity. DPPH and ABTS assays assess antioxidant potential via different radical scavenging mechanisms. Trolox serves as a standard reference compound for comparison. Sample size (n) indicates the number of independent replicates per assay.

Figure 1. Comparative antioxidant activity of edible mushroom species. This figure illustrates the relative antioxidant capacity of Pleurotus ostreatus and Lentinula edodes based on IC50 values obtained from DPPH and ABTS assays. The comparison highlights species-dependent differences in radical scavenging efficiency, with lower IC50 values indicating stronger antioxidant activity relative to the Trolox standard.

Across both DPPH and ABTS radical scavenging assays, P. ostreatus repeatedly demonstrates stronger antioxidant activity compared to L. edodes. As shown in Table 1, the IC50 values for P. ostreatus are consistently lower than those of L. edodes, indicating a higher efficiency in neutralizing free radicals. This trend is also visually reflected in Figure 1, where antioxidant potency gradients align with species-specific biochemical composition. While both mushrooms exhibit substantial antioxidant activity relative to natural systems, neither reaches the potency of the standard antioxidant Trolox, which serves as a benchmark. This variation in antioxidant activity appears closely tied to differences in metabolite composition. Studies have shown that P. ostreatus is particularly enriched in phenolic compounds, flavonoids, and polysaccharides such as ß-glucans, all of which contribute to radical scavenging capacity (Elhusseiny et al., 2021; Muszynska et al., 2018). In contrast, L. edodes, although still bioactive, exhibits comparatively lower concentrations of these compounds, which may explain its moderately reduced antioxidant performance.

Table 2 further expands this biochemical perspective by presenting total phenolic and flavonoid contents alongside measures of analytical consistency. The data suggest that P. ostreatus not only exhibits strong antioxidant activity but also demonstrates relatively stable and reproducible bioactive compound measurements. In contrast, H. marmoreus, particularly in small-cap forms, shows greater variability in bioactive content, which may reflect underlying biological heterogeneity or differences in experimental methodologies. The comparative antioxidant capacity of selected edible mushrooms, evaluated using DPPH and ABTS radical scavenging assays, is summarized in Table 3, where IC50 values indicate that Pleurotus ostreatus exhibits stronger antioxidant activity than Lentinula edodes, although both remain less potent than the Trolox standard.

Table 2. Distribution of bioactive compounds and analytical consistency across mushroom species. This table presents total phenolic and flavonoid contents, along with selected bioactive proxies (e.g., ß-glucans), across different mushroom species. Standard error and precision values are included to reflect variability in measurements and analytical reproducibility. The data highlight species-specific differences in metabolite abundance and the influence of experimental conditions on bioactive compound estimation.

Notes: Effect size represents Total Phenolic Content (mg/g) or Flavonoid content where specified. Standard Error (SE) was calculated as SD / vn, with n = 6 for most measurements and n = 3 for ß-glucan content. Precision (1/SE) is used for funnel plot visualization to identify potential publication bias. **Mean value for ß-glucan content (%) is used as a proxy for bioactive density in H. marmoreus.

Table 3. Cross-comparison of antioxidant potency among mushroom species and reference standard. This table provides a comparative overview of IC50 values derived from DPPH and ABTS assays for edible mushrooms alongside the Trolox standard. The repeated presentation of these values allows for consistency checks and reinforces observed trends in antioxidant performance across species.

3.2 Influence of Developmental Stage and Morphological Differentiation

A recurring theme across the dataset is the influence of developmental stage on metabolite accumulation. Evidence synthesized from multiple studies indicates that early-stage mushrooms tend to accumulate higher levels of amino acids, nucleotides, and certain secondary metabolites, whereas mature fruiting bodies shift toward carbohydrate storage and energy metabolism (Harada et al., 2003; Son et al., 2019). This developmental transition is particularly evident in H. marmoreus, where smaller fruiting bodies are enriched in bioactive metabolites, while larger specimens show increased carbohydrate content (Table 2). These shifts are not merely compositional but functionally relevant, as they influence antioxidant potential and overall nutritional quality.

Spatial differentiation within the mushroom fruiting body further contributes to this variability. Studies consistently demonstrate that caps and stipes are metabolically distinct compartments. Caps tend to accumulate higher concentrations of phenolics and flavor-related metabolites, whereas stipes are richer in structural carbohydrates (Park et al., 2017; Wang et al., 2018). This compartmentalization is reflected in the variability observed across datasets and suggests that whole-fruit analyses may obscure important tissue-specific differences.

3.3 Variability in Bioactive Compound Distribution and Analytical Consistency

The distribution of bioactive compounds across species and experimental conditions reveals both biological diversity and methodological challenges. Table 4 summarizes precision metrics associated with phenolic and flavonoid measurements, highlighting differences in analytical reliability across studies. High precision values observed for flavonoid measurements in P. ostreatus suggest consistent analytical methodologies and relatively stable metabolite accumulation. Conversely, lower precision values in H. marmoreus indicate greater variability, which may arise from differences in sampling strategies, extraction techniques, or inherent biological variability. The variability in antioxidant-related bioactive compound measurements across studies is depicted in Figure 2, highlighting differences in phenolic and flavonoid distributions that likely arise from methodological diversity, environmental influences, and intrinsic biological heterogeneity. Such variability underscores the importance of methodological standardization. Differences in solvent systems, extraction protocols, and assay conditions can significantly influence measured antioxidant activity and bioactive compound concentrations. For example, ethanol and methanol extractions may preferentially isolate different classes of phenolics, thereby altering IC50 outcomes and comparative interpretations.

Figure 2. Variability in reported antioxidant-related bioactive compounds across studies. This figure depicts the distribution of bioactive compound measurements, including phenolics and flavonoids, across different mushroom species. The spread of values reflects variability in experimental conditions, extraction methods, and biological factors, providing insight into the consistency and reproducibility of antioxidant-related measurements.

Table 4. Precision and reliability of bioactive compound measurements in edible mushrooms. This table compiles effect size estimates for phenolics, flavonoids, and related bioactive compounds, together with their corresponding standard errors and precision values. It serves to illustrate the degree of analytical consistency across studies and highlights variability associated with species, tissue type, and experimental methodology.

3.4 Integration of Metabolomic Insights with Functional Properties

Beyond individual measurements, the integration of metabolomic insights provides a broader understanding of mushroom functionality. Studies employing metabolomics and transcriptomics demonstrate that metabolite accumulation is governed by complex regulatory networks involving gene expression, enzymatic activity, and environmental inputs (Hirai et al., 2005; Wang et al., 2013). These regulatory mechanisms help explain the observed variability in antioxidant activity across species and developmental stages. For instance, environmental factors such as nitrogen availability and cultivation conditions have been shown to modulate flavonoid and amino acid biosynthesis, thereby influencing both nutritional and functional properties (Huang et al., 2018; Kim et al., 2016).

3.5 Comparative Context: Edible Versus Toxic Mushrooms

While the primary focus remains on edible species, the results gain additional context when considered alongside toxic mushrooms such as Amanita phalloides. Unlike edible species, where metabolic pathways produce beneficial compounds, toxic mushrooms synthesize highly potent secondary metabolites such as amatoxins, which inhibit RNA polymerase II and disrupt cellular function (Li & Oberlies, 2005; Walton, 2018).

This contrast highlights the dual nature of fungal metabolism. The same biochemical complexity that enables the production of antioxidants and therapeutic compounds also underlies the synthesis of lethal toxins. As such, comprehensive metabolomic profiling is essential not only for optimizing nutritional benefits but also for ensuring safety.

4. Discussion

4.1 Interpreting Antioxidant Variability Through Metabolic Complexity

The findings synthesized in this review reinforce the idea that antioxidant capacity in mushrooms is not a fixed trait but rather an emergent property of dynamic metabolic systems. The consistently higher antioxidant activity observed in Pleurotus ostreatus compared to Lentinula edodes reflects underlying differences in phenolic and flavonoid composition, which are themselves shaped by genetic, developmental, and environmental factors (Elhusseiny et al., 2021; Muszynska et al., 2018). Differences in total phenolic content among mushroom species are presented in Figure 3, emphasizing species-specific variation and reinforcing the contribution of phenolic compounds to overall antioxidant potential. Importantly, these differences should not be interpreted in isolation. Antioxidant activity represents only one dimension of functional potential, and moderate activity in species such as L. edodes may still confer significant health benefits, particularly when considered alongside immunomodulatory and antimicrobial properties (Rahi & Malik, 2016).

Figure 3. Comparative distribution of total phenolic content among selected mushroom species. This figure presents differences in total phenolic content (mg/g) across mushroom species, highlighting species-specific and developmental variations. The visualization emphasizes the contribution of phenolic compounds to antioxidant potential and illustrates how metabolite abundance varies with biological and environmental factors.

4.2 Role of Developmental Dynamics in Functional Optimization

One of the more compelling insights emerging from the data is the strong influence of developmental stage on metabolite composition. The transition from amino acid- and nucleotide-rich early stages to carbohydrate-dominated mature stages reflects a broader biological principle in which metabolic priorities shift in response to growth and energy demands (Barros et al., 2007; Lee et al., 2015). From a functional perspective, this suggests that optimal harvesting strategies should consider developmental timing. Harvesting mushrooms at stages where bioactive compounds are maximized could enhance their nutritional and therapeutic value. This is particularly relevant for species such as H. marmoreus, where size-dependent differences in metabolite composition are pronounced (Son et al., 2019).

4.3 Spatial Heterogeneity and Its Implications

The recognition that mushroom tissues are metabolically heterogeneous has important implications for both research and application. Caps, with their higher concentrations of phenolics and secondary metabolites, may represent more valuable sources of bioactive compounds compared to stipes (Park et al., 2017). This spatial differentiation also raises methodological considerations. Studies that do not distinguish between cap and stipe tissues may overlook critical variations, leading to inconsistent or misleading conclusions. Future research would benefit from more precise sampling strategies that account for tissue-specific differences.

4.4 Environmental and Cultivation Influences

Environmental factors emerge as key determinants of metabolite profiles. Variables such as substrate composition, temperature, humidity, and nutrient availability influence not only growth but also secondary metabolite synthesis (Moore et al., 2008). The observed variability across studies may, in part, reflect differences in cultivation conditions rather than inherent species characteristics. This highlights the potential for targeted cultivation strategies to enhance desirable traits, such as antioxidant capacity or bioactive compound production (Sun et al., 2014).

4.5 Integration of Multi-Omics Approaches

The integration of metabolomics, transcriptomics, and proteomics provides a powerful framework for understanding the complexity of fungal metabolism. These approaches reveal that metabolite accumulation is not simply a function of presence or absence but is regulated through interconnected biochemical networks (Hirai et al., 2005; Viant et al., 2017). Such systems-level insights are particularly valuable for identifying key regulatory nodes that could be targeted to enhance functional properties. However, challenges remain, particularly in metabolite annotation and data interpretation, which continue to limit the full realization of multi-omics potential.

4.6 Safety Considerations and Toxicological Context

The inclusion of toxic species such as Amanita phalloides provides an essential counterbalance to the discussion of edible mushrooms. The presence of amatoxins, which disrupt fundamental cellular processes, underscores the importance of accurate species identification and chemical profiling (Ye & Liu, 2018; Kayes & Ho, 2024). From a broader perspective, this duality highlights the need for integrated approaches that consider both beneficial and harmful aspects of fungal metabolism. Advances in analytical techniques, such as UPLC-MS/MS, offer promising tools for improving detection and safety assessment.

4.7 Toward Functional and Nutraceutical Applications

The collective findings suggest that mushrooms hold significant potential as functional foods and nutraceuticals. Their diverse metabolite profiles, combined with modifiable cultivation conditions, provide opportunities for optimizing health-promoting properties. However, realizing this potential requires a more standardized approach to research and production. Variability in experimental methods and reporting continues to hinder comparability across studies. Establishing consistent protocols for extraction, analysis, and reporting would enhance reproducibility and facilitate more meaningful comparisons.

4.8 Synthesis and Future Directions

Ultimately, the discussion converges on the idea that mushrooms represent highly dynamic biological systems in which nutritional, therapeutic, and toxicological properties are deeply interconnected. Understanding this complexity requires not only detailed biochemical analysis but also an integrative perspective that considers developmental, environmental, and methodological factors.

Future research should aim to bridge existing gaps by combining multi-omics approaches with standardized methodologies and in vivo validation. Such efforts will be essential for translating laboratory findings into practical applications, ensuring that the benefits of edible mushrooms are fully realized while minimizing associated risks.

5. Limitations

Despite offering a comprehensive synthesis, this review is not without limitations. The analysis centers primarily on a small group of well-studied species—Pleurotus ostreatus, Lentinula edodes, and Hypsizygus marmoreus—which, while informative, may not fully represent the broader diversity of edible and medicinal fungi. Additionally, much of the evidence relies on in vitro antioxidant assays, which, although widely used, do not necessarily translate directly to in vivo biological activity or bioavailability. Variability in experimental design—including differences in extraction methods, cultivation conditions, and analytical techniques—further complicates direct comparison across studies. Another constraint lies in the incomplete annotation of metabolomic datasets, leaving a portion of fungal biochemical diversity unexplored. Finally, interactions between bioactive compounds, as well as their behavior within complex dietary systems, remain insufficiently characterized, highlighting the need for more integrative and translational research approaches.

6. Conclusion

Taken together, the evidence suggests that mushrooms are far from uniform nutritional entities; they are metabolically dynamic systems shaped by development, environment, and genetic context. The consistent antioxidant advantage observed in Pleurotus ostreatus highlights its potential as a functional food, yet the variability seen across species and growth stages reminds us that bioactivity is conditional rather than absolute. Equally important is the contrast with toxic species, where similar biochemical complexity produces harmful outcomes. Bridging these perspectives, this review underscores the need for integrated, multi-omics approaches to better harness beneficial properties while ensuring safety in both dietary and clinical contexts.

References