Food Chemistry

Knowledge of the influence of particle size, blending, and processing temperature on flour functionality is critical for the utilisation of emerging grains. This study investigated the flour pasting behaviour of four Australian native grains - Button Grass, Curly Mitchell Grass, Native Millet, and Weeping Grass - in relation to particle size, wheat flour substitution at various levels (0-30%), and elevated RVA temperatures (95-140 degrees Celcius). The pasting properties of flour fractions (fine, medium, and wholegrain) were analysed using a Rapid Visco Analyser, and water absorption capacity was also determined. Particle size effects were species-specific. Native Millet and wheat had higher viscosity in the finer fractions, whereas Weeping Grass exhibited maximum viscosity in the medium fraction. Button Grass and Curly Mitchell Grass showed limited sensitivity to particle size, indicating a stronger influence of intrinsic structure. Increasing substitution with native flours generally reduced viscosity, except for Weeping Grass, which was less affected and maintained stable viscosity. High-temperature rapid visco analysis revealed distinct thermal responses: most grains showed reduced final viscosity at elevated temperatures, whereas Weeping Grass maintained relatively high final viscosity across most temperatures. These findings demonstrate the diverse functional behaviour of Australian native grains and provide insights into their potential application in gluten-free and composite flour systems.

Ensuring the safety and suitability of proteins considered for food and biotechnology applications is an important challenge. Computational approaches can facilitate the prioritisation of candidate proteins for further investigation, particularly given the rapid growth of genomic and metagenomic sequence datasets. In this study, we developed computational models to distinguish edible plant tissue-associated (EPTA) proteins from non-EPTA proteins. The positive class comprised 939 proteins with experimentally validated evidence of expression in plant tissues commonly consumed by humans, hereafter referred to as EPTA proteins. The negative class comprised 939 proteins annotated in UniProt as toxic, allergenic, or antinutritional, hereafter referred to as non-EPTA proteins. Models were evaluated using five-fold cross-validation with a cluster-based partitioning strategy, ensuring that no protein in the validation set shared more than 40% sequence identity with proteins in the corresponding training set. First, composition-based sequence features were evaluated to establish a baseline for EPTA or non-EPTA classification, with the Extra Trees (ET) classifier achieving a validation AUROC of 0.848. To incorporate evolutionary information beyond amino acid composition, PSSM profiles were subsequently evaluated, yielding an AUROC of 0.842 with an SVM classifier. Finally, to capture richer sequence patterns and contextual information using protein language modelling, we evaluated ESM2-based models. The fine-tuned ESM2-T33 model achieved the highest validation AUROC of 0.925 and was selected as the final predictive model. The resulting approach was implemented as the EdiProPred web server (https://webs.iiitd.edu.in/raghava/edipropred/) and standalone software for computational classification of plant proteins. The EdiProPred framework provides a useful computational tool for prioritising candidate plant proteins and facilitating the exploration of novel protein resources for food and biotechnology applications.

Background: There is a growing availability of plant-based alternatives for bovine milk. However, plant-based drinks differ e.g. in protein quantity, protein quality and carbohydrate composition. Knowledge on the impact this has on digestion-related outcomes such as postprandial amino acid (AA) availability and gastric behavior is still limited. Additionally, data on milk alternatives with higher overall protein concentration are lacking. Objective: We aimed to compare the differences in postprandial AA profiles, glycemic response, and gastric behavior between bovine milk and plant-based drinks with or without added protein using representative commercial drinks. Methods: 12 healthy males participated in a randomized crossover study with three treatments. After an overnight fast, participants drank 750 ml of semi-skimmed milk (Milk), a standard oat-based drink (OBD) or an oat-based drink enriched with pea protein (OBD+Pea). Blood samples were taken for measurement of plasma AA, glucose, insulin and FGF21 over 5 hours. Gastric content changes were assessed using magnetic resonance imaging scans for Milk and OBD+Pea over 2 hours. Results: Compared with Milk, both oat-based drinks elicited lower 5-h total AA iAUC (OBD -169706; OBD+pea -139552 microM*min; both P<0.001) and EAA iAUC (OBD -91748; OBD+pea -78199; both P<0.001), with no differences between oat-based drinks. Gastric content volume was lower for OBD+Pea versus Milk from 60-120 min (range -48 - -84 ml, all P<0.001). Compared to Milk, OBD and OBD+Pea increased glucose more from 15-45 min (range 0.86 - 1.73 mmol/l, all P<0.001) and insulin from 30-60 min (1.84 - 2.14-fold, all P<0.001). Conclusions: Protein enrichment in plant-based milk alternatives can be a valuable strategy to increase protein content and improve amino acid composition. However, such products still show faster gastric emptying, lower postprandial essential amino acid and higher glycemic and insulinemic responses compared to bovine milk because of their different carbohydrate and protein content and quality.

Fermented foods are recognized for their rich microbial diversity and bioactive metabolites, which have recently been linked to anti-inflammatory effects and increased gut microbiome diversity. Despite extensive research on fermented foods including large-scale metagenomic surveys and metabolite characterization, a comprehensive mechanistic understanding of how diverse fermented foods, their microbes, and resulting metabolites interact with human biological pathways remains limited. Here, we systematically profiled over 100 commercially available fermented foods for their potential to prevent inflammation using a human cell-based model. We then generated bulk RNA sequencing of the human cells under these treatment conditions, along with metagenomic sequencing and metabolomics of the fermented foods used in the assays. By generating sample-matched multi-omics data, our work aims to lay the scientific groundwork that will enable scientists to generate predictive models and testable hypotheses about the molecular mechanisms underlying the anti-inflammatory effects of fermented foods. This open-source resource comprising all raw data and parsed intermediary files allows the community to begin elucidating the molecular mechanisms between fermented foods and human biology, paving the way for new, scientifically informed strategies for the user of fermented foods as functional foods.

Background: Erythritol and xylitol, naturally present in fruits and vegetables, are widely used as alternative sweeteners with minimal glycemic and insulinemic effects. Both are also produced endogenously, with elevated plasma concentrations reported in metabolic disorders and cardiovascular disease. Recently, two interventional studies reported enhanced platelet aggregation after acute oral intake of erythritol or xylitol, raising concerns about potential prothrombotic effects. We investigated whether acute exposure to erythritol or xylitol increases platelet reactivity in healthy individuals. Methods: We conducted a randomized, single-blind, crossover study in 14 healthy participants who received erythritol (50 g), xylitol (33.5 g), or water. Platelet aggregation was assessed ex vivo, together with circulating markers of platelet activation (P-selectin), endothelial activation (sVCAM-1), and coagulation (D-dimer), as well as plasma erythritol and xylitol concentrations. Complementary in vitro experiments were performed using platelet-rich plasma from 11 healthy participants exposed to increasing concentrations of erythritol or xylitol, followed by assessment of platelet aggregation. Results: Despite substantial increases in circulating erythritol and xylitol concentrations following oral intake, neither erythritol nor xylitol increased ex vivo platelet aggregation compared with water. Consistently, no relevant changes were observed in P-selectin, sVCAM-1, or D-dimer concentrations. Direct in vitro exposure of platelet-rich plasma to increasing concentrations of erythritol or xylitol likewise did not enhance platelet aggregation. Conclusions: In healthy individuals, acute oral intake of erythritol or xylitol did not increase platelet aggregation or circulating markers of platelet activation, endothelial activation, or coagulation. These findings were supported by in vitro experiments showing no direct effect of erythritol or xylitol on platelet aggregation. Our results do not support an acute platelet-activating effect of erythritol or xylitol under the conditions studied. Registration: URL: https://clinicaltrials.gov/study/NCT04966299; Unique identifier: NCT04966299.

Nerve Growth Factor (NGF) supports neuronal survival, plasticity, and growth by binding to p75NTR and TrkA receptors. There is a strong link between NGF and the cholinergic hippocampus, and changes in NGF pathways are observed in Alzheimer's disease (AD). Research shows NGF's neuroprotective and regenerative effects on cholinergic neurons, with positive results in AD models and clinical studies. However, NGF therapy faces challenges: limited blood-brain barrier crossing and dose-dependent pain. To address pain, a mutated NGF called CHF6467 was developed. Thanks to the R100E mutation, it prevents binding to p75NTR while maintaining TrkA affinity, which helps reduce pain side effects. Understanding CHF6467's mechanism remains a challenge. In this context, untargeted metabolomics is effective for uncovering unforeseen responses, making it suitable for assessing CHF6467's overall effects. Building on our previous research and recognizing the importance of amyloid-{beta} peptide as a critical pathological marker of AD, we used NMR-metabolomics to study the effect of CHF6467 on SH-SY5Y cells. The study examined metabolomic profiles of cells treated with CHF6467, with and without A{beta}(1-42), using NMR. Results show CHF6467 influences the metabolic changes caused by A{beta}(1-42), inducing biochemical effects consistent with the promotion of phospholipid precursors, reduced glutamate excitotoxicity, and restored energy metabolism.

Inflammatory bowel disease challenges modern gastroenterology due to high relapse rates. This study evaluated the effects of medicinal fungal sclerotium Fu Ling (Wolfiporia cocos), its derived {beta}-1,3-1,6-Glucan, Bacillus coagulans GBI-30, 6086, and their combinations in dextran sulfate sodium-induced colitis in male BALB/c mice. The {beta}-glucan-B. coagulans combination significantly improved body weight, disease activity index, colon length and architecture, mucus secretion, and cecal fermentation over single ingredient. Consistently, this combination increased total short-chain fatty acids production, particularly acetate, improved gut tight-junction organization and reduced myeloperoxidase accumulation. Shotgun metagenomic sequencing indicated that this combination reshaped the gut microbiota, notably enriching Anaeromassilibacillus sp., which associated with improved clinical feature. These findings highlight the potential of fungal-derived {beta}-glucan and probiotic combinations as functional food ingredients for mitigating intestinal inflammation and supporting barrier repair.

Dehydroascorbic acid (DHA), the oxidized form of vitamin C, exhibits specific toxicity against KRAS-mutant cancer cells; however, the early metabolic reprogramming mechanisms leading to cell death remain incompletely understood. In this study, we reveal the non-linear, dose-dependent response of the intracellular metabolome during the ultra-early phase of 1-hour DHA exposure. Under 1 mM DHA exposure, an early significant accumulation of the primary catabolite erythrulose (p = 0.030) and moderate consumption of glutamate (p = 0.0086) were observed, while core TCA cycle homeostasis and cell viability were preserved. In contrast, under 10 mM DHA exposure, an acute and profound alteration of the metabolic profile was observed. Along with the significant accumulation of glycerate, indicative of a glycolytic blockade, and the terminal peroxidation product oxalate, core TCA cycle intermediates such as -ketoglutarate and malate showed rapid depletion (Log2FC < -2.0, p < 10-7). Furthermore, coupled with this acute energy depletion, a statistically significant accumulation of free methionine (Log2FC = 1.14, p = 0.011), which was below the limit of detection in the control, was identified alongside profound depletions of glutamate (p < 0.001) and cysteine (p = 0.0027). These results strongly suggest that the initial response to high-dose DHA is not merely a linear accumulation of oxidative stress, but rather an "abrupt metabolic switch" characterized by rapid TCA cycle dysfunction followed by the early signature of a methionine trap.

G protein-coupled receptors (GPCRs) represent the largest membrane protein family in the human body and the major targets of FDA-approved medications. Unlike some other physiological proteins, GPCRs are highly plastic and often exist as collections of conformational ensembles in the environment to exert their function. Therefore, understanding how a GPCR adopts different conformational ensembles in response to ligands and signaling partners is essential for drug development. 19F-NMR has emerged as one of the most promising tools in this regard; however, a well-established 19F-labeling system is still lacking, including an effective 19F probe that meets both environmental susceptibility and NMR sensitivity requirements, even though progress has been made dramatically in recent years. Thus, this manuscript reports a novel conformational probe (4-(bromomethyl)-ethoxy-2-(trifluoromethyl)benzene, BTMB) that offers paramount benefits for future GPCR conformational dynamics studies. To rationalize the mechanism behind BTMB's superiority for future probe development, we performed MD simulations, referenced to the current state-of-the-art probe, BTFMA. Our study suggests that the spatial proximity of aromatic residues significantly influences the chemical shift dispersion and linewidths of related 19F-probe-profiled conformational states, as well as the rigidity and compactness of -CF3 in the target protein.

Growing evidence links ultra-processed food intake according to the Nova classification with poor health, yet no comprehensive database of additives and food substances of non-culinary use that are markers of ultra-processing exists for the UK. Building the database involved seven steps: (1) obtaining all approved additives in the UK, (2) retrieving all of their technical functions, (3) coding each technical function as cosmetic (marker of ultra-processing) or non-cosmetic (not a marker of ultra-processing), (4) adding 'flavour extracts', 'natural flavourings', and 'flavourings', (5) excluding additives as ultra-processing markers if they served fortification purposes, or were a herb/spice, and (6) adding food substances of non-culinary use defined as markers of ultra-processing in the Nova classification. Lastly, (7) two UPF definitions were constructed based on the ambiguity/overlap of additive technical functions from previous approaches. The database is freely accessible for researchers to improve consistency in using the Nova classification in the UK.

Phenylketonuria (PKU) is an autosomal recessive disorder caused by PAH gene defects and can cause irreversible neurological damage as early as the fetal period; however, non-invasive prenatal monitoring methods are lacking. In this study, Pah+/- female mice were mated with Pah+/-; male mice and wild-type male mice, respectively. Urine samples were collected longitudinally from pregnant mice at 10 time points during gestation from Day 1 to Day 19. Data-independent acquisition (DIA) quantitative proteomics combined with GO/KEGG analysis, WGCNA, and a dual-strategy LASSO-random forest approach was used to screen candidate biomarkers. The results showed that stable differentially expressed proteins between groups were detectable as early as Day 1, and the differences persisted throughout gestation and exhibited temporal dynamics. Permutation tests indicated that the probability of random generation of the differential protein combination was low (0.04-0.06), suggesting that it was not randomly generated. The intersection of the two strategies yielded five proteins, GINM1, PRG4, LY6A, NTM, and YIPF3, and after including GLO1, a total of six candidate biomarkers were obtained. The candidate proteins had interaction or co-expression associations with 14 proteins involved in PKU mechanisms, with GLO1 serving as a network hub. This study found that the maternal urine proteome can non-invasively reflect the systemic response induced by fetal-origin PKU, providing proof of concept and candidate biomarker resources for non-invasive early-pregnancy screening of PKU.

Microplastics are pervasive environmental pollutants that pose a growing concern for human health. Oral ingestion is a common route of human microplastic exposure, yet the proteomic response of the gut epithelium to microplastics remains unclear. This study aimed to investigate the cellular effects of pristine and artificially digested microplastic exposure in primary rat duodenal epithelial cells using untargeted proteomics. Cells were exposed to pristine or digested 0.5 um polystyrene microplastics at 10 or 100 ug/mL for 72 hours and were then analyzed by tandem liquid chromatography and mass spectrometry (LC-MS). Proteins that were both significantly different in intensity compared to controls, with a threshold change of 1.3 or greater, were considered to be differentially expressed. This criterion identified 41 differentially expressed proteins after 100 ug/mL pristine MP exposure, with 19 downregulated and 21 upregulated. Following exposure to 100 ug/mL digested MP, only 3 differentially expressed proteins were upregulated and 7 were down regulated, demonstrating the impact of microplastic physicochemistry. FGSEA pathway analysis revealed that 270 Reactome pathways were significantly altered following microplastic exposure in either condition at both concentrations. These pathways contributed to functional domains including protein synthesis, DNA replication, cell cycle control and aerobic respiration. Overall, microplastic exposure was associated with upregulated mitochondrial respiration, and downregulation of nuclear-related processes including DNA synthesis, transcription and cell proliferation. This study provides targets for future investigation (mitochondria and nucleus) and emphasizes the need to consider biological and environmental conditions for in vitro models of microplastic exposure.

To elucidate the resistance of hybrid larch (Larix spp.) clones to Dendrolimus superans and their chemical defense mechanisms, 46 clones were subjected to field feeding-infestation experiments. Insect resistance was comprehensively evaluated by the membership function method from three perspectives: insect weight change, frass weight and defoliation rate (damage consequences); pre- and post-infestation physiological indices (constitutive and induced resistance). High- and low-resistance materials screened from each perspective were further analyzed by widely targeted LC-MS metabolomics. The three damage indices differed highly significantly among clones (P<0.01) and were positively correlated, indicating abundant genetic variation in resistance. Clones such as -30-C, -35-A and -21-A showed strong overall resistance, whereas -28-E and -20-A showed high constitutive and induced resistance. Defence enzyme activities (POD, SOD, CAT, PPO and PAL) correlated closely with secondary metabolites (total phenolics, tannins and total flavonoids) and nutrients, and rose synergistically after feeding, reflecting synergy between constitutive and induced resistance. In total, 3,577 metabolites were identified, predominantly terpenoids (>90%). The three groups yielded 1,010, 1,086 and 922 differentially accumulated metabolites, and PCA separated high- from low-resistance materials in all groups. These metabolites were significantly enriched in metabolic pathways, biosynthesis of secondary metabolites, monoterpenoid and diterpenoid biosynthesis, and phenylpropanoid biosynthesis. In conclusion, resistance of hybrid larch to D. superans is jointly conferred by the defence enzyme system, secondary metabolite accumulation and a 'terpenoid-phenolic' metabolic network: terpenoids and phenolics act synergistically via the terpenoid and phenylpropanoid pathways, together forming the core of chemical defense and supporting the breeding of insect-resistant clones.

Macaranga tanarius (Euphorbiaceae), a myrmecophilic plant grown in subtropical countries, was identified as a source of Okinawan propolis, a honeybee product, which is glandular trichomes developed on the surface of the fruits. This tissue contains a high amount of characteristic geranylated flavonoids known as nymphaeols (nymphaeol A - C and isonymphaeol B), which exhibit strong antioxidant activity. In this study, we characterized the structure of glandular trichomes of M. tanarius, showing that they are sac-like structures containing drupelet-like aggregates of secretary cells, and a subcuticular cavity was also observed. From a cDNA library, we identified two prenyltransferase (PT) genes involved in biosynthesis of nymphaeols, and a PT gene grouped in a primary metabolic PT. Our biochemical experiments demonstrated that one of the former secondary metabolic PTs (MtPT1) is a B-ring-specific geranyltransferase for eriodictyol to yield nymphaeols B and isonymphaeol B. MtPT1 was unusual for a plant PT, an enzyme that yielded multiple reaction products. The other PT (MtPT3) transferred a geranyl moiety to the A-ring of eriodictyol to form nymphaeol A. Although dimethylallyl diphosphate (DMAPP) was not recognized as its prenyl donor substrate of eriodictyol, giving a B-ring geranylated eriodyctiol as the prenyl acceptor substrate, this enzyme used DMAPP to attach the prenyl moiety to the A-ring and produced nymphaeol C. These data suggest that M. tanarius has evolved its PT function to produce a diverse range of prenylated flavonoids using a limited set of genes.

The modeling of aroma release in food science is a complex, multidisciplinary field integrating mass transfer theory and principles of physical chemistry. While mechanistic models have long been used to understand volatile release, their practical adoption has been hindered because existing implementations are often private, "in-house" tools that lack reproducibility and extensibility. This paper introduces digimouth, an open-source Python framework designed to provide a unified, modular, and reproducible environment for simulating and fitting aroma release kinetics. A key innovation of digimouth is its handling of events and stages. Events represent discrete, instantaneous changes in the system (such as opening a bottle or swallowing), while stages allow for multi-phase simulations where experimental conditions or physical dynamics change over time. To demonstrate the tool's utility, the authors implemented established in vitro convection models and performed sensitivity analyses on parameters such as air-water partition coefficients and mass transfer coefficients. The package also includes an optimization module based on the least-squares method to fit parameters to experimental data. Validation against real-time data from Proton Transfer Reaction-Time of Flight- Mass Spectrometry (PTR-ToF-MS) shows a satisfactory fit, with an average error of approximately 2%. Ultimately, digimouth facilitates robust model development and hypothesis testing, offering the food science community a collaborative tool to better understand the mechanisms of flavor release.

Microplastic pollution from homopolymers such as polypropylene (PP), polystyrene (PS), and polyethylene (PE) poses growing health and environmental concerns, highlighting the need for robust polymer-degrading biocatalysts. We previously identified a naturally occurring cysteine-dependent hydrolase (CsdH) from Rhodococcus opacus, featuring a unique Cys160-Lys127-Asp39 catalytic triad and providing a novel mechanism for polyethylene terephthalate (PET) degradation. In this study, we have determined crystal structures of CsdH in complex with PP, PS, PE, and styrene and demonstrated the potential of the enzyme to directly degrade these homopolymers into their respective low molecular weight degradation products using LC-MS. Structural analysis reveals that the enzyme retains a conserved principal access tunnel while undergoing subtle substrate-dependent changes to accommodate different substrates. The enzyme exhibited broad plastic degradation activity with the highest weight loss observed for PE, followed by PP and PS. SEM analysis reveals surface roughness, cracks and grooves, confirming polymer degradation. Further, these results corroborate through FTIR and TGA analysis. These findings establish a strong foundation for enzyme engineering and aim at developing efficient microplastic degradation.

Aims Honey represents a distinct microbial habitat, imposing physicochemical stresses on its resident microbiota while also serving as a potential source of beneficial microorganisms. This study aimed to isolate lactic acid bacteria (LAB) from Korean wildflower honey and characterize their gastrointestinal (GI) and physiological stress tolerance, adhesion-related properties, functional characteristics, and safety to evaluate their potential as probiotic candidates. Methods and Results Two Streptococcus salivarius strains, DOW-5A and DOW-10, were isolated from Korean wildflower honey and identified by phenotypic and molecular analyses. Both strains survived in sequential exposure to simulated GI conditions and showed tolerance to physiological stresses. DOW-5A maintained higher viability during the simulated gastric phase, whereas DOW-10 showed an initial decrease in viable counts followed by an increase during the simulated intestinal phase. The two strains also exhibited various probiotic characteristics, including mucin adhesion and antioxidant activity. Atypical, crystalline colony morphologies associated with EPS production were observed when sucrose was supplied as a carbon source. Both strains formed biofilms, while DOW-5A showed a marked increase in biofilm formation upon sucrose supplementation. Neither strain showed gelatinase or hemolytic activity or significant cytotoxicity toward Caco-2 cells. Impact Statement In this study, we isolated two honey-derived S. salivarius strains with high probiotic potential. Our findings highlight wildflower honey as a potential reservoir of LAB with traits relevant to survival under GI and physiological stresses, as well as various probiotic traits.

Central carbon metabolism coordinates energy production and carbon skeleton allocation across photosynthetic and heterotrophic organisms. Here, we established an optimized targeted metabolomics workflow for Chlamydomonas reinhardtii and Arabidopsis thaliana using a single-run HILIC-MS/MS assay with alternating positive and negative ionization. Our method provides robust multi-class coverage across 21 amino acids, 11 carboxylic acids, 4 sugars, 3 adenine nucleotides, 2 nucleotide sugars, 18 phosphorylated compounds in CCM, and Acetyl-CoA in a 20-minute run using both ESI modes. An optimal concentration of medronic acid with a BEH Amide column at high pH prevented metal adsorption, and low quantification limits (10 to 50 nM) for labile intermediates such as PEP, ATP and RUBP were achieved. Retention time variations remained below 1.3%, and over 90% of analytes showed high linearity (R2 > 0.990) across dynamic ranges spanning two to three orders of magnitude (typically 0.01-0.5 uM up to 15-20 uM). For sample preparation, glass-fiber filters (GF/C) outperformed nitrocellulose for harvesting C. reinhardtii. For A. thaliana, it was proved that no further grinding with micro pestle and extended cooling were necessary. A two-phase chloroform/methanol/water extraction was essential, as a single-phase extraction co-extracted green chlorophyll, which heavily suppressed phosphorylated signals. In Arabidopsis, glutamate, fumaric acid and citric acid were the dominant primary pools, indicating the importance of dilution and column washing for preventing carryover, and sensitive intermediates were reliably quantified at physiological levels. Together, this unified analytical and extraction strategy enables robust, artifact-free, high-throughput profiling of central metabolism in photosynthetic organisms.

Petal coloration is a key ornamental trait in Cyclamen persicum Mill. and is closely associated with anthocyanin composition and relative accumulation, yet the major anthocyanins and candidate molecular factors associated with color variation remain unclear. In this study, anthocyanin profiling and transcriptome analysis were integrated to investigate three Cyclamen materials with distinct petal colors, BXK, FXK, and SHXK. Anthocyanin profiling showed clear separation among the three materials, indicating that petal color divergence was associated with differences in anthocyanin composition and relative abundance. Petunidin-, peonidin-, delphinidin-, malvidin-, and cyanidin-related derivatives exhibited distinct accumulation patterns. Transcriptome analysis revealed marked transcriptional divergence, with phenylpropanoid and flavonoid biosynthesis repeatedly enriched across comparisons, whereas isoflavonoid and flavone and flavonol biosynthesis were enriched in selected comparisons. Mapping differentially expressed genes onto the anthocyanin biosynthetic pathway revealed branch-specific expression patterns of structural genes, including CHS, F3H/F3'H, F3'5'H, DFR, and ANS. Notably, Cluster-26256.0, annotated as a putative anthocyanidin synthase gene, showed a progressive increase in expression from BXK to FXK and SHXK, consistent with increasing petal pigmentation. Several DFR-related transcripts also showed relatively high expression in SHXK. Co-expression analysis linked key anthocyanins, structural genes, and transcription factors, while qRT-PCR generally confirmed RNA-seq trends. These results suggest that late anthocyanin biosynthesis, particularly ANS-related transcriptional variation, may contribute to dark red petal coloration. This study provides a metabolite-transcript framework for Cyclamen petal coloration and identifies ANS-related genes as priority candidates for future functional studies and flower-color breeding.

Background: Chronic low-grade inflammation and gut microbiota dysbiosis contribute to metabolic syndrome (MS). Huanglian Wendan Decoction (HLWDD) is a defined multi-herbal formulation used in Chinese medicine, but its effects on gut microbiota-associated metabolism and NLRP3 inflammasome signaling remain unclear. Objective: This study evaluated the pharmacological effects and candidate absorbed bioactive constituents of HLWDD in experimental MS. Methods: A high-fat, high-sugar diet-induced rat model of MS was assessed using metabolic, biochemical, histological, molecular, and multi-omics endpoints. Gut metagenomics, untargeted metabolomics of liver and colonic contents, liver transcriptomics, and UPLC-HRMS/MS analysis of serum-absorbed constituents were integrated with network pharmacology and molecular docking. Baicalin was further evaluated in PA-BSA-treated HepG2 cells. Results: HLWDD ameliorated obesity, dyslipidemia, hepatic steatosis, and systemic inflammation and attenuated NLRP3 inflammasome-related signaling. Multi-omics analysis identified nine shared differential metabolites and a strong positive association between Faecalibacterium and butyrate. Thirty-two serum-absorbed constituents were tentatively identified. Baicalin showed favorable predicted interactions with NLRP3 (-5.82 kcal/mol) and CASP1 (-5.41 kcal/mol) and concentration-dependently suppressed NLRP3 inflammasome-related signaling in HepG2 cells; the highest concentration increased intracellular butyrate. Conclusion: HLWDD ameliorated metabolic and inflammatory abnormalities in experimental MS in association with restoration of gut-liver metabolic homeostasis and attenuation of NLRP3 inflammasome signaling. Baicalin emerged as a candidate absorbed bioactive constituent.