Search Results (220)

Early life represents a critical developmental programming window during which nutrition and microbial exposures shape long-term physiological function. Feeding mode is a major determinant of infant gut microbiota assembly and metabolic activity. This narrative review synthesizes current evidence comparing breastfeeding (BF) and formula feeding in relation to microbial composition, functional capacity, and immune programming during the preweaning and early postweaning periods. BF may support a relatively stable, bifidobacteria-dominated microbiota enriched in pathways involved in carbohydrate utilization, vitamin biosynthesis, and immune modulation. Human milk oligosaccharides, secretory IgA, lactoferrin, and milk-associated microbes collectively guide microbial succession, enhance barrier integrity, and support immune tolerance. In contrast, formula-fed infants typically exhibit greater microbial diversity, earlier transition toward adult-like profiles, and increased abundance of facultative anaerobes, alongside the enrichment of pathways related to bile acid and amino acid metabolism. Microbiota patterns in formula-fed infants are further influenced by formula composition, including protein load, lipid structure, and supplementation with prebiotics, probiotics, and human milk oligosaccharide analogues. Although advances in formula design have reduced compositional gaps, functional differences in microbial stability and immune programming persist. Recognizing early infancy as a sensitive programming window underscores the need for microbiome-informed nutritional strategies and longitudinal, multi-omics research to clarify causal mechanisms and optimize early-life interventions. Full article

Fungal endophytes are microorganisms that inhabit plant tissues without causing disease and emerge as critical mediators of plant stress tolerance, nutrient acquisition, and ecosystem resilience under diverse climate change scenarios. Their unique position within the host allows them to modulate physiological responses more closely than external microbiota. This review explores how endophytic fungi contribute to plant adaptation under climate-induced stresses such as heat, salinity, drought, pollution, and nutrient limitation, with a focus on molecular crosstalk, functional trait modules, and metabolic trade-offs. Key findings emphasize multilayered signaling systems, including MAMP/DAMP recognition, phytohormone regulation, immune tuning, ROS dynamics, and effector deployment, while emerging mechanisms such as cross-kingdom RNA and extracellular vesicle (EV)-mediated exchange are discussed as promising but currently limited in empirical validation within many endophytic systems. Endophytes also enhance nutrient exchange through conditional carbon-for-benefit trade and may shape rhizosphere microbiota and soil activities through plant-mediated inputs. Integrative multi-omics approaches provide predominantly correlational insights into the mechanistic basis of these effects, linking molecular function to ecosystem and community outcomes. These insights have potential applications in climate-resilient agriculture, phytoremediation, and ecosystem restoration; however, their large-scale implementation requires further field-based validation and context-specific assessment. Future priorities should focus on trait-based selection, ecological modeling, and biosafety evaluation to translate microbial functions into reliable field-level strategies that support sustainable crop performance under accelerating environmental stress. Full article

Type 2 diabetes mellitus (T2DM) has become a global metabolic disorder, and sprouted wheat (SW) exhibits potential for alleviating metabolic syndromes, although its mechanism remains unclear. This study aimed to investigate the effects and underlying mechanisms of SW on T2DM using a high−fat diet−induced T2DM mouse model. SW intervention significantly improved glycolipid metabolism disorders (p < 0.05), attenuated hepatic mitochondrial injury (p < 0.05) and maintained hepatic homeostasis. SW also reshaped the gut microbiota structure and inhibited the TLR4/NF−κB inflammatory pathway (p < 0.05). Untargeted metabolomics combined with network pharmacology identified five key functional metabolites and four core targets involved in the protective effects of SW. Germination optimized the nutritional composition of wheat, and SW regulated the microbe–liver axis through a multi−component, multi−target and multi-pathway mode. These results reveal the mechanism of SW in improving T2DM−related metabolic disorders and provide experimental support for its application. In the future, SW can be further developed as a dietary nutritional supplement for the prevention and adjuvant treatment of metabolic diseases. Full article

Biological control agents (BCAs) have emerged as a key strategy to mitigate maize diseases while reducing dependence on synthetic agrochemicals, which pose risks to human health, ecosystems, and microbial diversity. This review synthesizes advances from 63 research articles published between 2020 and 2025, selected through a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach to capture studies with in vitro, greenhouse, or field validation. The analysis highlights major fungal and bacterial threats to maize production and evaluates BCAs, including Bacillus, Trichoderma, Streptomyces, and entomopathogenic or endophytic microorganisms, tested across multiple experimental levels. Results show that many agents demonstrate strong antagonism under controlled conditions, promoting plant growth, reducing pathogen incidence, and lowering mycotoxin contamination. Field trials, however, reveal inconsistent performance due to environmental variability, formulation instability, and incomplete understanding of strain-specific mechanisms. Emerging approaches such as microbial consortia, metabolite-based biocontrol, biochar–microbe combinations, and evaluations under dual-stress conditions offer promising avenues to improve reliability and expand applicability. Overall, the review underscores that although microbial biocontrol holds substantial potential for sustainable maize protection, progress toward scalable implementation requires integrating omics-based characterization, optimized formulations, genotype-specific evaluations, and multi-season field trials to bridge the gap between laboratory efficacy and field performance. Full article

Recent findings suggest that the gut microbiome significantly influences cancer outcomes, including responses to immune checkpoint inhibitor (ICI) treatments. Although early research focused on gut bacteria, it is now understood that the microbiome includes a bacteriome, virome, and mycobiome, all of which can modulate host immunity. Some commensal bacteria enhance anti-tumor immune responses and improve ICI efficacy, as demonstrated in both mice and patients. Fecal microbiota transplants (FMT) from patients responding to ICI have successfully reversed resistance in certain non-responders. In addition to bacteria, gut fungi and viruses are gaining attention as further factors influencing ICI effectiveness and toxicity. Recent multi-omics studies across cancer cohorts show that fungal and viral populations in the gut vary between ICI responders and non-responders. Commensal fungi may shape anti-cancer immunity by inducing inflammatory or tolerogenic pathways, while viral components can stimulate innate immune sensors that promote tumor surveillance. On the other hand, gut dysbiosis marked by expansion of pathobionts (including opportunistic fungi) and reduction in beneficial microbes is linked to serious immune-related adverse events (irAEs) such as ICI-induced colitis. This review discusses the multi-kingdom gut microbiome–bacteria, fungi, and viruses–and their interactions with the immune system in cancer therapy. We emphasize known mechanisms linking these microbes to anti-tumor immunity, overview human studies associating gut microbiome profiles with ICI outcomes and explore strategies to modulate the microbiome to enhance ICI efficacy while reducing toxicity. Understanding and utilizing the gut mycobiome and virome in conjunction with the bacteriome could pave the way for new biomarkers and therapeutic adjuvants in cancer immunotherapy. Full article

The plant holobiont comprises the host plant and its associated microbial communities functioning together as a single ecological and evolutionary unit that influences plant health, productivity, and environmental adaptability. Endophytes, formerly classified primarily as plant growth-promoting agents, are currently gaining traction as integral components of plant-associated microbiomes such as the rhizobiome and phytobiome. They can alter host-mediated root exudation patterns, microbial community structure, and nutrient dynamics within the rhizosphere. Endophytes play an important role in modulating host signaling pathways, thus influencing plant growth. Various mechanisms by which endophytes contribute to improved plant performance include soil microbiome dynamics, carbon sequestration, and strengthening the host’s ability to tolerate abiotic stressors. Multi-omics, single-cell, and systems-level approaches integrated with CRISPR, metabolic engineering, and AI, together with systems biology, guided by in vitro and field studies, support predictive modeling and provide evidence for the evolution of system-driven strategies for developing effective bioinoculants. This review highlights the potential of endophytes to serve as a scalable and sustainable component of climate-resilient and regenerative agricultural systems, while acknowledging ecological variability and field-level constraints. Full article

The production of Chinese Baijiu relies on the synergistic metabolism of multi-species microbial communities in an open environment. Its intricate microbial succession and flavor formation mechanisms have long been considered complex systems that are difficult to fully deconstruct. Traditional culture-dependent techniques inherently fail to comprehensively capture the actual functional roles and dynamic regulation of “viable but non-culturable” (VBNC) microorganisms within this complex system. In recent years, the rapid advancement of multi-omics technologies has offered a novel perspective for elucidating the underlying fermentation mechanisms of Baijiu. This paper systematically reviews the recent progress in the application of metagenomics, metatranscriptomics, metaproteomics, and metabolomics in Baijiu research. Specific focus is placed on the unique contributions of these tools to resolving microbial community structural diversity, mining key functional genes and enzymes, uncovering microbial stress response mechanisms under environmental fluctuations, identifying phages and spoilage microorganisms, and tracing the metabolic pathways of flavor substances. Furthermore, the pivotal role of multi-omics integration strategies in constructing “microbe–metabolite” regulatory networks is highlighted. Finally, current challenges regarding standardization and data integration are discussed, with an outlook on leveraging omics big data to promote digital monitoring and intelligent brewing in the Baijiu industry. Full article

Psoriasis is a chronic immune-mediated skin disease with highly variable responses to systemic therapies. Emerging evidence highlights the microbiome as a potential modulator of drug efficacy and toxicity. Gut bacteria can enzymatically metabolize drugs, such as methotrexate, altering bioavailability and therapeutic outcomes, while microbial metabolites—including short-chain fatty acids, branched-chain amino acids, and tryptophan derivatives—shape host immunity and barrier integrity, influencing drug action. Baseline microbial signatures have been linked to treatment response, potentially predicting anti-TNF or IL-17 inhibitor efficacy. Systemic therapies themselves reshape microbial communities: IL-17 blockade induces broad shifts in gut and skin microbiota, whereas cyclosporine and anti-TNF agents exert subtler effects. Small molecules such as apremilast and fumarates may reduce fungal overgrowth and influence microbial composition, whereas data on JAK/TYK2 inhibitors remain limited. Notably, current evidence exhibits a literature bias toward the gut microbiota, while the roles of the oral and skin axes remain understudied. Adjunctive microbiome-directed interventions, including probiotics and fecal microbiota transplantation, have demonstrated potential to enhance treatment outcomes by promoting anti-inflammatory taxa and restoring barrier function. Despite these promising findings, current evidence is heterogeneous, often limited by small sample sizes, short follow-up, and variable methodology. Integrating pharmacomicrobiomics data with clinical, genetic, and multi-omics profiling could enable precision medicine approaches in psoriasis, allowing therapy selection tailored to individual microbial and metabolic signatures. Future research should focus on longitudinal, multicenter studies to identify actionable microbial biomarkers, clarify mechanistic interactions between drugs, microbes, and host immunity, and evaluate microbiome-targeted adjuncts in randomized trials. Understanding the bidirectional crosstalk between systemic therapies and the microbiome may transform psoriasis management, improving efficacy, reducing adverse events, and enabling durable, personalized responses. Full article

The microbial community surrounding plant roots plays a vital role in plant growth, nutrient uptake, stress resilience and other potential functions. This review synthesizes available evidence that plant growth-promoting microorganisms (PGPMs) not only directly benefit the plant but also modulate the rhizospheric microbiome by mediating metabolic reprogramming of the host plant. PGPMs modify the composition of root exudates through the regulation of phytohormone signaling and transcriptional networks, thereby promoting beneficial microbes and suppressing disease. Key mechanisms involve the jasmonate, ethylene, and strigolactones signaling pathways. Transcription factors MYB72, ERF1 regulate biosynthesis and secretion of metabolites like organic acids and coumarins. The exudates serve as specific signals for microbial community assembly and as enhancers of feedback loops that reinforce plant-microbe mutualism. We examine the ecological and agricultural significance of PGPM-induced metabolic reprogramming of the host due to PGPMs that enhances disease suppression, abiotic stress tolerance, and nutrient use efficiency. Lastly, we address advanced methods and strategies for transferring these biological pathways to the agricultural realm and on to a more sustainable agricultural practice with emphasis on the need to integrate multi-omics (whole genomics, transcriptomics, and metabolomics), synthetic microbial communities and plant genetic engineering for microbiome-assisted agriculture. This synthesis reveals that PGPM-induced metabolic reprogramming operates through an integrated cross-scale framework linking microbial perception, phytohormone signaling, transcriptional regulators, and transporter-mediated exudate efflux, with root exudates functioning as plant-controlled ecological filters that selectively shape the rhizosphere microbiome. We further identify key translational challenges, including context-dependent efficacy and the lab-to-field gap, and propose a roadmap combining multi-omics, synthetic communities, and genome editing to realize the potential of microbiome-assisted sustainable agriculture. Full article

Interactions among plant roots, soil, and microorganisms in the rhizosphere regulate nutrient cycling, plant health, and ecosystem resilience. Recent advances in DNA sequencing and multi-omics are contributing to a shift from primarily descriptive surveys toward more mechanistic and predictive frameworks. This review synthesizes methodological developments and conceptual insights spanning microbial ecology, functional genomics, and agricultural applications. We first summarize DNA-based approaches—marker-gene sequencing, shotgun metagenomics, and quantitative nucleic acid assays—and then complementary omics layers, including metatranscriptomics, metaproteomics, metabolomics, epigenomics, ionomics, and phenomics. We next outline computational advances in data integration, network modeling, and visualization that help represent complex multi-layered datasets as biologically interpretable systems. Applications relevant to climate resilience and sustainable agriculture are discussed, including the design of synthetic microbial communities, the identification of biomarkers for soil health and stress tolerance, and case studies in which rhizosphere multi-omics informs crop breeding and soil management strategies. Overall, these developments underscore the potential of treating microbes as functional and, to some extent, manageable components of the plant holobiont. Looking ahead, we identify key research gaps involving standardized workflows, cross-scale causal inference, and real-time monitoring pipelines that integrate molecular diagnostics with remote sensing and edge–cloud analytics. By linking ecological mechanisms with translational practice, multi-omics frameworks may support the development of more sustainable, data-driven agriculture that better aligns productivity with environmental stewardship. Full article

Crohn’s disease (CD) is characterized by chronic intestinal inflammation accompanied by gut dysbiosis and redox imbalance. We investigated the role of dual oxidase-2 (DUOX2), a major epithelial source of reactive oxygen species (ROS), in linking oxidative stress to microbe–host crosstalk. DUOX2 expression was upregulated in human intestinal samples and was positively associated with inflammatory readouts, oxidative stress indices, and dysbiosis. Intestinal epithelial cell-specific Duox2 knockout (KO) mice exhibited reduced mucosal ROS, preserved barrier integrity, and attenuated dextran sodium sulfate (DSS)- and 2,4,6-trinitrobenzene sulfonic acid (TNBS)-induced colitis. Cohousing and fecal microbiota transplantation demonstrated that this protective phenotype was microbiota-dependent. Multi-omics profiling identified enrichment of Parabacteroides, particularly P. distasonis, in Duox2 KO mice, and oral supplementation with P. distasonis enhanced resistance to colitis. Mechanistically, DUOX2-derived oxidative stress constrained Parabacteroides growth, as P. distasonis displayed marked susceptibility to hydrogen peroxide, with excessive intracellular ROS accumulation and an absence of key antioxidant defenses—including peroxide reductase C (AhpC) and superoxide dismutase B (SodB)—indicating that epithelial DUOX2 shapes a hostile luminal redox niche unfavorable to these beneficial microbes. Pharmacological inhibition of DUOX2 with Compound 521 reduced oxidative stress, ameliorated colitis, and partially restored microbial balance. These findings establish a DUOX2–ROS–microbiota axis in which epithelial DUOX2 amplifies oxidative stress, remodels the gut ecosystem, and promotes inflammation, and highlights DUOX2 suppression or ROS-sensitive Parabacteroides as potential redox-centric therapeutic strategies for CD. Full article

Background/Objectives: Predicting diseases based on the gut microbiome pattern is still difficult because of compositional shortcomings, batch heterogeneity, and scanty modeling of inter-taxon interactions. This study introduces a Dysbiosis-Aware Multiset Transformer Framework called DysbioFormer, which predicts state diseases by recognizing patterns of microbes. Methods: The current methods are mainly based on flat abundance representations or fixed-order models which limit the capability of describing intricate interactions of communities and evolutionary structure. Results: DysbioFormer is a solution to these shortcomings, in which each sample of the microbiome is modeled as a permutation-invariant multiset of taxonomic tokens with compositional, phylogenetic, and harmonized cohort data. Stacked Set Attention Blocks are used to learn relational dependencies between taxa, whereas Pooling-by-Multihead-Attention is used to aggregate global disease-level embeddings and this is not based on sequence assumptions. The model has been tested on MicrobiomeHD, which consists of a wide variety of human gut microbiome samples at a variety of disease conditions and healthy controls. Experimental results demonstrate strong diagnostic performance, achieving an accuracy of 97%, an AUC of 0.97, and an F1-score of 96%, consistently outperforming classical machine learning models under identical evaluation protocols. Attention-derived signatures also can give interpretable connections among predictive results and disease-linked microbial taxa, enhancing biological plausibility. Conclusions: The suggested architecture enables scalable, cohort-agnostic microbial diagnostics, and provides a principled route to transforming the complex information of the microbiome into reliable clinical information. DysbioFormer creates a universal basis of future microbiome-based disease screening and precision health uses. Its design allows extending towards multi-omics integration, longitudinal studies, and decision-support infrastructure, supporting microbiome-informed translational medicine in a variety of clinical research settings. Full article

Soil contamination by per- and polyfluoroalkyl substances (PFAS) represents a pressing environmental and public health concern due to the exceptional persistence of carbon–fluorine bonds, which prevent natural attenuation and limit the effectiveness of conventional remediation. Agricultural and industrial soils serve as long-term sinks for PFAS, continuously releasing these pollutants into groundwater and facilitating their transfer through the food chain. Conventional chemical and physical remediation methods are often costly, energy-intensive, and yield incomplete removal, underscoring the need for sustainable and biologically driven alternatives. Microbial consortia have emerged as a promising solution due to their metabolic complementarities, cross-feeding interactions, and ecological resilience, which together enable PFAS transformation and partial defluorination under complex soil and subsurface conditions. Key enzymes such as oxygenases, reductive dehalogenases, and hydrolases are often operating within co-metabolic networks, which play central roles in these processes. Advances in metagenomics, CRISPR-based functional screening, and metabolic modelling are rapidly uncovering novel PFAS-degrading microbes and pathways. Integration of machine learning with multi-omics and environmental datasets further enables the prediction of degradation mechanisms, identification of keystone degraders, and rational design of synthetic consortia. Emerging sustainable strategies, including biochar- and nutrient-amended soil microcosms, plant–microbe partnerships for coupled soil–groundwater phytoremediation, and bioelectrochemical systems that offer new avenues for enhancing PFAS biodegradation in situ. This review synthesises recent research progress and provides critical perspectives on the mechanistic, ecological, and engineering dimensions of PFAS bioremediation, proposing an integrated conceptual framework linking microbial consortia dynamics, enzymatic pathways, and environmental engineering interventions to guide scalable field applications and sustainable management of PFAS-contaminated soil–groundwater ecosystems. Full article

Yam end black disease (YEBD) is a devastating soil-borne disease that severely compromises the yield of Chinese yam (Dioscorea opposita Thunb.). Despite its agricultural importance, the etiological agents and molecular mechanisms underlying YEBD remain poorly understood. In this study, we employed an integrated multi-omics approach, combining transcriptomics and microbiome analysis, to dissect the host responses and microbial shifts associated with YEBD. De novo transcriptome assembly revealed significant enrichment of differentially expressed genes involved in polyamine metabolism and hormone signaling pathways. Microbiome profiling identified a substantial increase in nematodes (Meloidogyne spp.) in diseased samples, which correlated negatively with the beneficial fungus Cladosporium. Bacterial community analysis showed an increase in Proteobacteria and Bacteroidetes and a decrease in Actinobacteria and Firmicutes in YEBD-affected roots. Notably, the rhizosphere microbiome was less affected than the endophytic community, suggesting that internal microbial dysbiosis plays a critical role in disease progression. These findings provide new insights into the interactions among yam, nematodes, and microbes, offering potential strategies for biocontrol and disease management. Full article

Background: Cultivation environments impose distinct abiotic and biotic stresses that act as primary drivers reshaping the metabolic profile and microbiome assembly of medicinal plants. This study investigates the impact of simulative habitat versus arched greenhouse cultivation on the synthesis of bioactive ginsenosides and the associated root microbiome structure in Panax ginseng. Methods: A combined metabolomics and microbiomics approach was applied to compare ginsenoside accumulation and rhizosphere microbial community composition under the two cultivation modes. Results: Ginseng from simulative habitat cultivation exhibited significantly higher ginsenoside content, particularly ginsenoside Re, compared to arched greenhouse cultivation, with this advantage being more pronounced in long-term cultivation. Microbiome profiling revealed that specific taxa, including Bradyrhizobium, were strongly enriched in simulative habitats and positively correlated with enhanced ginsenoside accumulation, suggesting a microbiome-mediated mechanism for metabolic plasticity. In contrast, arched greenhouse cultivation was associated with a more complex microbial structure characterized by increased negative interactions, which may compromise metabolic quality. Conclusions: These findings, utilizing multi-omics correlations, provide a theoretical basis for optimizing Panax ginseng quality through ecological cultivation strategies that leverage stress-responsive microbe–metabolite interactions. Full article