Dynamic Changes Of Metabolites Research Articles

Improving Quality Profiles of Summer-Autumn Tea Through the Synergistic Fermentation with Three Fungal Strains

The co-fermentation of summer-autumn tea with Aspergillus niger and Eurotium cristatum effectively reduces bitterness and astringency, enhances flavor and quality, and increases market appeal and economic value. This study investigated the dynamic changes in metabolites, flavor characteristics and quality indicators of summer-autumn tea during fermentation. Using headspace solid-phase microextraction gas chromatography (HS-SPME-GC-MS), 96 key metabolites were identified, significantly enhancing the tea's aroma and flavor. On the fourth day of fermentation, the content of ester catechins (EGCG, ECG) decreased by 79.44% and 79.57%, respectively, while non-ester catechins (EGC, C, EC) increased by 175.47%, 228.18%, and 138.73%, respectively. Additionally, the gallic acid content increased by 755.58%, along with rises in free amino acids and soluble sugars. Sensory evaluation focused on taste, soup color, and aroma, resulting in a total score of 80.67. The intensity of astringency, bitterness, and sourness in the tea infusion gradually decreased, while sweetness, umami, and aroma intensified. These findings underscore the significant role of the synergistic action of the three strains in developing the unique flavor profile of summer-autumn tea during fermentation. This research lays the foundation for quality control and resource development in the processing of summer-autumn tea.

Revealing the dynamic changes of metabolites and molecular mechanisms of chlorogenic acid accumulation during the leaf development of Vaccinium dunalianum based on multi-omic analyses.

Vaccinium dunalianum, a medicinal plant, is utilized for Quezui Tea production from its leaf buds and young leaves. Despite prior research on V. dunalianum revealing several medicinal compounds, the comprehensive variations in metabolites during its growth and development, along with the molecular mechanisms underlying high chlorogenic acid (CGA) yield, remain unclear. Through a joint analysis of transcriptomics and proteomics, our study first identified 15 key structural genes and 3 transcription factors influencing CGA biosynthesis in V. dunalianum, offering new evidence to understand its regulatory network. Furthermore, non-targeted metabolomics analysis provides the first extensive report on the metabolic profile of V. dunalianum, furnishing a valuable dataset for deeper exploration of its nutritional and medicinal value, and the development of a quality evaluation system for its product Quezui Tea. This study offers the most comprehensive molecular information on V. dunalianum, marking a significant step toward understanding and enhancing the plant's potential for medicinal and nutritional applications. Additionally, this study also reveals V. dunalianum holds promise as a natural antioxidant source for functional foods, providing data support for network pharmacology.

Dynamic Changes in Flavonoids’ Accumulation Pattern in Tilia miqueliana Flowers at Different Developmental Stages Based on Widely Targeted Metabolomic Analysis

Tilia miqueliana is an endemic species belonging to the genus Tilia L. (Tiliaceae) in China, which is known for its fragrant flowers and nectar, but the dynamic changes in metabolites during its growth and development are still unclear. In this study, the metabolic profiles from T. miqueliana flowers at three developmental stages were detected by performing an ultra-performance liquid chromatography–electrospray ionization–tandem mass spectrometry (UPLC-ESI-MS/MS)-based widely targeted metabolomic analysis. A total of 1138 metabolites were detected, with 288 Differentially Accumulated Metabolites (DAMs) determined, flavonoids accounting for the largest proportion. The trend analysis showed that DAMs present seven distinctive patterns, and subclass 5 obtained the largest amount with continuously increased relative content during flower development. The Kyoto Encyclopedia of Genes and Genomes (KEGG) annotation and enrichment analysis of DAMs showed different overlap and variability in metabolic pathways, indicating different directions of flavonoids’ metabolic flux in the three developmental stages. A correlation network analysis further revealed five core metabolites that played essential roles in flavonoid biosynthesis. This research provides comprehensive insights into the exploitation and utilization of T. miqueliana as well as a scientific basis for phylogenetic studies of the genus Tilia.

Process optimization, quality evaluation, and dynamic changes of metabolites in Houttuynia cordata yogurt

Houttuynia cordata Thunb (YXC) is a significant homologous plant valued for its medicinal and culinary properties. However, there are no reports on the study of YXC yogurt. The quantities of YXC liquid, starter culture, and white sugar were used to evaluate their impact on yogurt quality, followed by metabolite profiling analysis. The optimal formula for yogurt consisted of 23 g YXC liquid, 9 g white sugar, and 0.7 g starter culture, resulting in well-balanced coagulation, delicate and smooth taste, and a unique aroma of YXC. Additionally, most differential metabolites were significantly accumulated during the production process of YXC yogurt, of which amino acids, free fatty acids, organic acids, and saccharides were associated with the texture, taste, and flavor of yogurt. Correlation analysis further suggested that saccharides, amino acids, and lipids were positively correlated with sensory quality of YXC yogurt. Collectively, YXC-based yogurt enriches the variety of yogurt products and enhances their nutritional values and flavor properties.

Integrated Metabolomics and Transcriptomics Reveal the Key Role of Flavonoids in the Cold Tolerance of Chrysanthemum.

Chrysanthemum (Chrysanthemum morifolium, ground-cover Chrysanthemums), one of the important garden flowers, has a high ornamental and economic value. However, its ornamental value is significantly diminished by the low temperature experienced in northeastern China. Here, metabolomics and transcriptomics were performed on three Chrysanthemum cultivars before and after a low temperature to investigate the dynamic metabolite changes and the molecular regulatory mechanisms. The results showed that 1324 annotated metabolites were detected, among which 327 were identified as flavonoids derived from Chrysanthemum. The accumulation of metabolites and gene expression related to the flavonoid biosynthesis pathway significantly increased in the three cultivars under the low temperature, indicating flavonoid metabolism actively participates in the Chrysanthemum cold response. Specifically, the content of cyanidin and pelargonidin derivatives and the expression of anthocyanin biosynthesis genes significantly increases in XHBF, providing a reasonable explanation for the change in petal color from white to purple under the low temperature. Six candidate UDP-glycosyltransferase genes involved in the glycosylation of flavonoids were identified through correlation networks and phylogenetic analysis. CmNAC1, CmbZIP3, and other transcription factors potentially regulating flavonoid metabolism and responding to low temperatures were discovered by correlation analysis and weighted gene co-expression network analysis (WGCNA). In conclusion, this study elucidated the specific response of flavonoids to low temperatures in Chrysanthemums, providing valuable insights and metabolic data for investigating cold tolerance.

Study of metabolites dynamic variation during vine tea (Ampelopsis grossedentata) processing by untargeted metabolomics

Vine tea is a paramount Chinese tea with a wide variety of health benefits. The tea quality would be affected by tea processing procedures. It is essential to unravel the dynamic variation of metabolites during tea processing. To interpret the dynamic changes, the metabolic profiling was characterized by ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) with 1890 metabolites. Furthermore, the chemometrics methods were implemented to explore key metabolites to clarify the dynamic changes during processing. Four pair-wise models were developed with R2Y higher than 0.990. Fifteen key metabolites were explored during manufacturing process. Fixation stage was closely associated with generation of bioactive compounds of dihydromyricetin (DIH). DIH had highly significant correlation with key metabolites of 2-hydroxy lignoceric acid, lamioside, and 3-o-methylgallic acid according to mantel test. The results provide valuable information on dynamic changes of metabolites during processing in tea.

Liquid Chromatography-Mass Spectrometry-Based Metabolomics Reveals Dynamic Metabolite Changes during Early Postmortem Aging of Donkey Meat.

Metabolic changes in donkey meat during the early postmortem period have not been previously reported. The LC-MS-based metabolomics technique was conducted to understand the metabolic profiles and identify the key metabolites of donkey meat in the first 48 h postmortem. The pH values showed a decreasing trend followed by an increasing trend. Shear force was the lowest at 4 h and the highest at 24 h (p < 0.05). For the metabolome, some candidate biomarker metabolites were identified, such as adenine, inosine, n-acetylhistidine, citric acid, isocitrate, and malic acid. Predominant metabolic pathways, such as citrate cycle (TCA cycle), alanine, aspartate and glutamate metabolism, and purine metabolism, were affected by aging time. Overabundant n-acetylhistidine was identified in LT, declined at 12 h postmortem aging, and then increased. This may explain the significantly lower pH at 12 h postmortem. Adenine was higher at 4 h postmortem, then declined. Decreased ADP may indicate a fast consumption of ATP and subsequent purine metabolism in donkey meat. The results of this study provided new insights into early postmortem aging of donkey meat quality.

Abstract 2887: Impact of ionizing radiation on the energy metabolism of normal and tumor cells in the brain

Abstract This study aims to analyze irradiation-induced metabolic alterations in glioblastoma cells and astrocytes to enhance understanding of cellular responses and facilitate the development of more effective radiotherapeutic strategies. Metabolic reprogramming of tumor cells is considered one of the hallmarks of cancer. Studies have shown that abnormal activation of oncogenes and cancer-related signaling pathways, as well as the inactivation of tumor suppressor genes can induce metabolic reprogramming. These metabolic aberrations facilitate rapid proliferation, continuous growth, invasion, metastasis, and immune evasion. Following the application of radiotherapy, the activity of several metabolic pathways significantly changes, potentially leading to the development of radioresistance. However, a differential effect of ionizing radiation on tumor and normal cells is not well understood. Hence, quantifying irradiation-induced metabolic changes in glioblastoma cells and astrocytes is of high importance. We have developed a novel approach to measure dynamic metabolite changes upon irradiation, in vivo, in situ, and in real-time. This tool combines imaging of recently developed fluorescent biosensors via 2-photon microscopy and millimeter-scaled irradiation. Murine glioblastoma cells and astrocytes were generated with stable expression of biosensors for the quantification of intracellular concentrations of various metabolites, including lactate. Cytosolic concentrations of lactate depend on the balance between glycolytic production, mitochondrial consumption of pyruvate and lactate, and the exchange with the extracellular lactate pool via monocarboxylate transporters. Many cancer cells are characterized by an excessive conversion of glucose to lactate even under normoxic conditions. We quantified this so-called Warburg Effect in glioblastoma cells and astrocytes as the ratio between basal lactate production and the lactate increase after OXPHOS inhibition and determined irradiation-induced metabolic changes on the single-cell level. Complementarily, we used metabolomics and Seahorse analyses before and after irradiation. Our data indicate that irradiation increases oxygen consumption in glioblastoma cells but not in astrocytes. Also, we established an orthotopic glioblastoma mouse model via injection of sensor-expressing tumor cells for in vivo measurements of metabolite changes during and after irradiation. These data are expected to significantly advance the understanding of the cellular response to irradiation on a molecular level in situ and in real-time. This knowledge will help to develop combination treatments and increase the efficiency of radiotherapy. Citation Format: Marvin Kreuzer, Pascal Imseng, Bruno Weber, Martin Pruschy. Impact of ionizing radiation on the energy metabolism of normal and tumor cells in the brain [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2887.

A cooperative combination of non-targeted metabolomics and electronic tongue evaluation reveals the dynamic changes in metabolites and sensory quality of radish during pickling

Pickled radish is a traditional fermented food with a unique flavor after long-term preservation. This study analyzed the organoleptic and chemical characteristics of pickled radish from different years to investigate quality changes during pickling. The results showed that the sourness, saltiness, and aftertaste-bitterness increased after pickling, and bitterness and astringency decreased. The levels of free amino acids, soluble sugars, total phenols, and total flavonoids initially decreased during pickling but increased with prolonged pickling. The diversity of organic acids also increased over time. Through non-targeted metabolomics analysis, 349 differential metabolites causing metabolic changes were identified to affect the quality formation of pickled radish mainly through amino acid metabolism, phenylpropane biosynthesis and lipid metabolism. Correlation analysis showed that L*, soluble sugars, lactic acid, and acetic acid were strongly associated with taste quality. These findings provide a theoretical basis for standardizing and scaling up traditional pickled radish production.

Leveraging Unidentified Metabolic Features for Key Pathway Discovery: Chemical Classification-driven Network Analysis in Untargeted Metabolomics.

Untargeted metabolomics using liquid chromatography-electrospray ionization-high-resolution tandem mass spectrometry (UPLC-ESI-MS/MS) provides comprehensive insights into the dynamic changes of metabolites in biological systems. However, numerous unidentified metabolic features limit its utilization. In this study, a novel approach, the Chemical Classification-driven Molecular Network (CCMN), was proposed to unveil key metabolic pathways by leveraging hidden information within unidentified metabolic features. The method was demonstrated by using the herbivore-induced metabolic response in corn silk as a case study. Untargeted metabolomics analysis using UPLC-MS/MS was performed on wild corn silk and two genetically modified lines (pre- and postinsect treatment). Global annotation initially identified 256 (ESI-) and 327 (ESI+) metabolites. MS/MS-based classifications predicted 1939 (ESI-) and 1985 (ESI+) metabolic features into the chemical classes. CCMNs were then constructed using metabolic features shared classes, which facilitated the structure- or class annotation for completely unknown metabolic features. Next, 844/713 significantly decreased and 1593/1378 increased metabolites in ESI-/ESI+ modes were defined in response to insect herbivory, respectively. Method validation on a spiked maize sample demonstrated an overall class prediction accuracy rate of 95.7%. Potential key pathways were prescreened by a hypergeometric test using both structure- and class-annotated differential metabolites. Subsequently, CCMN was used to deeply amend and uncover the pathway metabolites deeply. Finally, 8 key pathways were defined, including phenylpropanoid (C6-C3), flavonoid, octadecanoid, diterpenoid, lignan, steroid, amino acid/small peptide, and monoterpenoid. This study highlights the effectiveness of leveraging unidentified metabolic features. CCMN-based key pathway analysis reduced the bias in conventional pathway enrichment analysis. It provides valuable insights into complex biological processes.

Remodeling of Hepatic Glucose Metabolism in Response to Early Weaning in Piglets.

This study aimed to investigate the dynamic changes in hepatic glucose metabolism in response to early weaning. A total of 60 piglets were randomly selected and weaned at 21 days old. Six piglets were slaughtered on the weaning day (d0) and at 1 (d1), 4 (d4), 7 (d7), and 14 (d14) days postweaning. The results illustrated that body weight significantly increased from d4 to d14 (p < 0.001). Serum glucose fell sharply after weaning and then remained at a low level from d1 to d14 (p < 0.001). Serum insulin decreased from d4 (p < 0.001), which caused hepatic glycogen to be broken down (p = 0.007). The glucose-6-phosphatase activity increased from d0 to d4 and then decreased from d4 to d14 (p = 0.039). The pyruvate carboxylase activity presented a significant sustained increase from d0 to d14 (p < 0.001). The succinate (p = 0.006) and oxaloacetate (p = 0.003) content on d4 was lower than that on d0. The succinate dehydrogenase activity (p = 0.008) and ATP (p = 0.016) production decreased significantly on d4 compared to that on d0. Taken together, these findings reveal the dynamic changes of metabolites and enzymes related to hepatic glycometabolism and the TCA (tricarboxylic acid) cycle in piglets after weaning. Our findings enrich weaning stress theory and might provide a reference for dietary intervention.

Regulation of Metabolic Homeostasis By TRAF6 Contributes to the Leukemia Progression

TNF receptor associated factor 6 (TRAF6) is an E3 ubiquitin ligase that mediates innate immune signaling that converges on key mediators of Toll-like receptor and interleukin-1 signaling. Dysregulated TRAF6 expression and innate immune pathway activation is implicated in the pathogenesis of various myeloid malignancies. For instance, increased TRAF6-mediated signaling in hematopoietic stem and progenitor cells (HSPCs) results in myelodysplastic syndrome-like cellular features, such as the functional impairment of HSPCs. On the other hand, our previous study indicated that loss of TRAF6 induces the leukemic transformation of pre-leukemic cells ( Muto et al. Cell Stem Cell). These paradoxical observations suggests that TRAF6 acts as both an oncogene and tumor suppressor gene in hematopoietic cells in a disease type- and context-dependent manner. However, the direct consequence of TRAF6 loss in AML cells, rather than in pre-leukemic cells, has not yet been explored. Therefore, the role of TRAF6 in the pathogenesis of AML remains obscure. In this study, we found elevated level of TRAF6 expression in AML cells, and determined the effect of TRAF6 loss on the cellular and molecular features of AML cells. We proposed a novel role of TRAF6 as a regulator of metabolic homeostasis, which is important for the progression of AML. To determine the requirement of TRAF6 in AML, we first evaluated cell the effect of TRAF6 loss in AML cell lines on proliferative capacities. Multiple types of human AML cell lines showed significant growth impairment upon TRAF6-knockdown. Furthermore, transplantation of TRAF6-deficient HSPCs expressing the leukemic oncogene MLL-AF9 to the recipient mice resulted in suppression of overt leukemia. These findings confirm that loss of TRAF6 suppresses leukemic cell function in vitro and in vivo. To assess the molecular mechanism of inhibitory effect of TRAF6 loss in AML, we next performed gene expression analysis using human AML database and TRAF6-knockdown AML cell lines. Interestingly, we found that reduced levels of TRAF6 in AML is associated with changes in the expression of genes involved in mitochondria-related processes. Our extensive in vitro validation experiments including extracellular flux assay and metabolome analysis confirmed that TRAF6 loss in AML cells induces dynamic changes in metabolites and the impairment of mitochondrial function. To identify the mechanism of metabolic alterations by TRAF6 loss in leukemia, we compared the upregulated genes in TRAF6-knockdown AML cells with the 130 previously identified essential genes for AML cell survival in vitro and in vivo ( Yamauchi et al. Cancer Cell). We focused on O-GlcNAc transferase ( OGT) as a gene associated in mitochondrial function and AML cell survival. Importantly, TRAF6 gene expression in human AML patient samples was positively correlated with the expression of OGT. To confirm the importance of OGT in the regulation of mitochondrial function mediated by TRAF6 in leukemia, we utilized the inhibitor of O-GlcNAcase (OGA), a remover of O-GlcNAc from its substrates. The treatment with MK8719 (OGA inhibitor) mildly, but significantly, restored the number of TRAF6 knockdown AML cells, which was correlated with the changes in mitochondrial function, indicating that O-GlcNAc modification regulated by TRAF6 is important for AML progression. In summary, We provide evidence for the oncogenic function of TRAF6 in leukemia, and shed light on the novel TRAF6/OGT/O-GlcNAc axis that regulates the metabolic reprogramming required for leukemogenesis.

Widely targeted metabolomic analysis reveals the dynamic changes of metabolites during postmortem chilled aging in Mongolian sheep

Postmortem aging is a value-added process for meat. The objective of this study was to evaluate the dynamic changes and metabolic pathways of metabolites in Mongolian sheep during early postmortem chilled aging. Widely targeted metabolomic was used to analyze the metabolites of mutton within five days of chilled aging. A total of 1093 metabolites were identified in Mongolian sheep, covering 16 subclasses. Multivariate statistical analysis showed that 467 metabolites had significant changes during aging, including amino acid and its metabolites, fatty acyl, and glycerophospholipid. In particular, 60 metabolites decreased, while other 407 metabolites increased with aging time. The Kyoto encyclopedia of genes and genomes pathway analysis revealed that protein digestion and absorption, amino acyl-trNA biosynthesis, unsaturated fatty acid biosynthesis, nucleotide metabolism and carbon metabolism were the main enrichment pathways in aging. These findings provide a more comprehensive insight into metabolic profiling and metabolic pathways during chilled aging in mutton.

Insights into the metabolite profiles of Rubus chingii Hu at different developmental stages of fruit.

The fruits of Rubus chingii Hu have high medicinal and nutritional values. However, the metabolite profiles of R. chingii, especially the alterations during different development stages of fruit, have not been comprehensively analyzed, hindering the effective utilization of the unique species. In this study, we comprehensively analyzed the metabolites of R. chingii fruit at four developmental stages using systematic untargeted and targeted liquid chromatography-mass spectrometry metabolomics analysis and identified 682 metabolites. Significant changes were observed in metabolite accumulation and composition in fruits during the different developmental stages. The contents of the index components, kaempferol-3-O-rutinoside and ellagic acid, were the highest in immature fruit. The analysis identified 64 differentially expressed flavonoids and 39 differentially expressed phenolic acids; the accumulation of most of these differentially expressed metabolites decreased with the developmental stages of fruit from immaturity to maturity. These results confirmed that the developmental stages of fruit are a critical factor in determining its secondary metabolite compositions. This study elucidated the metabolic profile of R. chingii fruit at different stages of development to understand the dynamic changes in metabolites.

Age-related alterations in metabolome and microbiome provide insights in dietary transition in giant pandas.

We conducted UPLC-MS-based metabolomics, 16S rRNA, and metagenome sequencing on the fecal samples of 44 captive giant pandas (Ailuropoda melanoleuca) from four age groups (i.e., Cub, Young, Adult, and Old) to comprehensively understand age-related changes in the metabolism and gut microbiota of giant pandas. We characterized the metabolite profiles of giant pandas based on 1,376 identified metabolites, with 152 significantly differential metabolites (SDMs) found across the age groups. We found that the metabolites and the composition/function of the gut microbiota changed in response to the transition from a milk-dominant diet in panda cubs to a bamboo-specific diet in young and adult pandas. Lipid metabolites such as choline and hippuric acid were enriched in the Cub group, and many plant secondary metabolites were significantly higher in the Young and Adult groups, while oxidative stress and inflammatory related metabolites were only found in the Old group. However, there was a decrease in the α-diversity of gut microbiota in adult and old pandas, who exclusively consume bamboo. The abundance of bacteria related to the digestion of cellulose-rich food, such as Firmicutes, Streptococcus, and Clostridium, significantly increased from the Cub to the Adult group, while the abundance of beneficial bacteria such as Faecalibacterium, Sarcina, and Blautia significantly decreased. Notably, several potential pathogenic bacteria had relatively high abundances, especially in the Young group. Metagenomic analysis identified 277 CAZyme genes including cellulose degrading genes, and seven of the CAZymes had abundances that significantly differed between age groups. We also identified 237 antibiotic resistance genes (ARGs) whose number and diversity increased with age. We also found a significant positive correlation between the abundance of bile acids and gut bacteria, especially Lactobacillus and Bifidobacterium. Our results from metabolome, 16S rRNA, and metagenome data highlight the important role of the gut microbiota-bile acid axis in the regulation of age-related metabolism and provide new insights into the lipid metabolism of giant pandas. IMPORTANCE The giant panda is a member of the order Carnivora but is entirely herbivorous. The giant panda's specialized diet and related metabolic mechanisms have not been fully understood. It is therefore crucial to investigate the dynamic changes in metabolites as giant pandas grow and physiologically adapt to their herbivorous diet. This study conducted UPLC-MS-based metabolomics 16S rRNA, and metagenome sequencing on the fecal samples of captive giant pandas from four age groups. We found that metabolites and the composition/function of gut microbiota changed in response to the transition from a milk-dominant diet in cubs to a bamboo-specific diet in young and adult pandas. The metabolome, 16S rRNA, and metagenome results highlight that the gut microbiota-bile acid axis has an important role in the regulation of age-related metabolism, and our study provides new insights into the lipid metabolism of giant pandas.

Analysis of Metabolic Components of JUNCAO Wine Based on GC-QTOF-MS.

JUNCAO wine fermentation metabolites are closely related to the final quality of the product. Currently, there are no studies of dynamic metabolite changes during fermentation of JUNCAO wine. Here, we used gas chromatography quadrupole time-of-flight mass spectrometry (GC-QTOF-MS) metabolomics and multivariate statistical analysis to explore the relationship between metabolites and fermentation time. A total of 189 metabolites were annotated throughout the fermentation process. The principal component analysis (PCA) revealed a clear separation between the samples in the early and late stages of fermentation. A total of 60 metabolites were annotated as differential during the fermentation (variable importance in the projection, VIP > 1, and p < 0.05), including 21 organic acids, 10 amino acids, 15 sugars and sugar alcohols, and 14 other metabolites. Pathway analysis showed that the most commonly influenced pathways (impact value > 0.1 and p < 0.05) were tricarboxylic acid cycle, alanine, aspartic acid and glutamic acid metabolism, pyrimidine metabolism, and other 10 metabolic pathways. Moreover, integrated metabolic pathways are generated to understand the conversion and accumulation of differential metabolites. Overall, these results provide a comprehensive overview of metabolite changes during fermentation of JUNCAO wine.

Metabolomics-Based Analyses of Dynamic Changes in Flavonoid Profiles in the Black Mulberry Winemaking Process.

To overcome the fruit's perishability, mulberry wine has been developed as a method of preservation. However, dynamic changes in metabolites during mulberry wine fermentation have not been reported yet. In the present investigation, UHPLC-QE-MS/MS coupled with multivariate statistical analyses was employed to scrutinize the metabolic profiles, particularly the flavonoid profiles, throughout the process of vinification. In general, the major differential metabolites encompassed organic heterocyclic compounds, amino acids, phenylpropanoids, aromatic compounds, and carbohydrates. The contents of total sugar and alcohol play a primary role that drove the composition of amino acids, polyphenol, aromatic compound, and organic acid metabolites based on the Mantel test. Importantly, among the flavonoids, abundant in mulberry fruit, luteolin, luteolin-7-O-glucoside, (-)-epiafzelechin, eriodictyol, kaempferol, and quercetin were identified as the differential metabolic markers during blackberry wine fermentation and ripening. Flavonoid, flavone and flavonol biosynthesis were also identified to be the major metabolic pathways of flavonoids in 96 metabolic pathways. These results will provide new information on the dynamic changes in flavonoid profiles during black mulberry winemaking.

Metabolomics and its applications in assisted reproductive technology.

Metabolomics, an emerging omics technology developed in the post-gene age, is an important part of systems biology. It interprets the pathophysiological state of the subject by quantitatively describing the dynamic changes of metabolites through analytical methods, mainly mass spectrometry (MS) and nuclear magnetic resonance (NMR). Assisted reproductive technology (ART) is a method used to manipulate sperm, oocytes, and embryos to achieve conception. Recently, several studies have reported that metabolomics methods can be used to measure metabolites in ART samples; these metabolites can be used to evaluate the quality of gametes and embryos. This article reviews the progress of research on metabolomics and the application of this technology in the field of ART, thus providing a reference for research and development directions in the future.

Review of the applications of metabolomics approaches in dairy science: From factory to human

Dairy products are nutritious and are increasingly consumed as an important dietary component in China. Exploring the factors that affect the nutritional quality of dairy products and ensuring their safety have become the main focus of dairy research. The composition of metabolites in dairy products is large and complex. The levels and types of metabolites vary according to various factors in the process from factory to human dining table. Therefore, metabolites might be used to assess the nutritional value, traceability and authenticity, and physiological function of dairy products. This review's main goal is to introduce the most recent developments and applications of metabolomics as an efficient tool for comprehensively characterising the composition and dynamic changes of metabolites in the area of food science and nutrition research in the process of getting dairy products from factory to human. The examples are taken from the most relevant metabolomics work published from 2018 to 2022, focusing on potential marker metabolites and metabolic mechanisms related to dairy product quality, authenticity/traceability and dairy intake monitoring. The future direction of metabolomics in the field of dairy science was also discussed. This information will provide a reference for the further application of metabolomics technology to Chinese dairy products to develop their quality, safety and nutritional value.

Integrative Analysis of Metabolome and Transcriptome Reveals Molecular Insight into Metabolomic Variations during Hawthorn Fruit Development.

Hawthorn (Crataegus pinnatifida var. major), a cultivated fruit tree, is native and unique to China. Its fruits have high nutritional, health, and medicinal values. However, the development and ripening process of hawthorns is accompanied by dramatic changes in flavor, aroma, and bioactive phytochemicals, which are the fundamental factors that contribute to the potential health benefits and establishment of fruit quality. Therefore, an exploration of the dynamic changes in metabolites and their regulatory networks during the development of hawthorn fruits can elucidate the formation mechanisms of active substances in hawthorn fruits. In this study, we used a broad targeted metabolomics approach to identify and analyze the dynamics of metabolites in hawthorn fruits at five developmental stages. The results revealed 998 primary and secondary metabolites that were classified into 15 categories. The accumulation levels of most sugars increased during fruit development and then accelerated at the fruit ripening stage. The accumulation levels of a few organic acids (e.g., citric acid, isocitric acid, and quinic acid) continuously increased. Many organic acids exhibited significant decreasing trends. Among the 561 secondary metabolites detected, 189 were phenolic acids and 199 were flavonoids. The levels of many flavonoids were significantly reduced at later stages of fruit development; in contrast, the levels of two anthocyanins significantly increased during fruit ripening. Correlation analysis revealed that there is a certain correlation within and between primary as well as secondary metabolites during fruit development. Furthermore, the integration of metabolomic and transcriptomic data in this study revealed that changes in the expression of some differentially expressed genes (DEGs) were associated with the accumulation of metabolites such as sugars, organic acids, and flavonoids, e.g., the upregulated expression levels of CS (citrate synthase) genes were consistent with the continued accumulation of citric acid. Overall, this study demonstrates the metabolic changes that occur during the development of hawthorn fruit, explores the molecular mechanisms that underlie metabolite changes during fruit development, and lays a strong theoretical foundation for the improvement of hawthorn fruit quality and the development of functional components.