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The role of mass spectrometry in plant systems biology.

Large-scale analyses of proteins and metabolites are intimately bound to advancements in MS technologies. The aim of these non-targeted "omic" technologies is to extend our understanding beyond the analysis of only parts of the system. Here, metabolomics and proteomics emerged in parallel with the development of novel mass analyzers and hyphenated techniques such as gas chromatography coupled to time-of-flight mass spectrometry (GC-TOF-MS) and multidimensional liquid chromatography coupled to mass spectrometry (LC-MS). The analysis of (i) proteins (ii) phosphoproteins, and (iii) metabolites is discussed in the context of plant physiology and environment and with a focus on novel method developments. Recently published studies measuring dynamic (quantitative) behavior at these levels are summarized; for these works, the completely sequenced plants Arabidopsis thaliana and Oryza sativa (rice) have been the primary models of choice. Particular emphasis is given to key physiological processes such as metabolism, development, stress, and defense. Moreover, attempts to combine spatial, tissue-specific resolution with systematic profiling are described. Finally, we summarize the initial steps to characterize the molecular plant phenotype as a corollary of environment and genotype.

Mass Spectrometry↗

PubMed2025

Integrating multi-omics approaches in acute myeloid leukemia (AML): Advancements and clinical implications.

Acute myeloid leukemia (AML) is a highly heterogeneous and aggressive hematologic malignancy characterized by clonal proliferation of myeloid precursors. Despite significant advancements in genomic profiling and targeted therapies, patient outcomes remain suboptimal due to disease complexity, resistance mechanisms, and high relapse rates. The integration of multi-omics approaches-spanning genomics, epigenomics, transcriptomics, proteomics, and metabolomics-has revolutionized AML research, offering a comprehensive understanding of leukemogenesis, tumor heterogeneity, and therapeutic vulnerabilities. Recent studies leveraging high-throughput sequencing, mass spectrometry, and advanced computational tools have uncovered novel biomarkers, clonal evolution dynamics, and microenvironmental interactions that drive AML progression and resistance. For instance, single-cell multi-omics has revealed chemotherapy-resistant leukemic stem cell populations, while proteogenomic analyses have identified actionable targets such as MCL1 and metabolic dependencies like OXPHOS. Clinically, integrated omics platforms are refining risk stratification, minimal residual disease (MRD) monitoring, and personalized therapy selection. However, challenges such as data integration complexity, cost barriers, and ethical considerations remain. This review highlights the transformative potential of multi-omics in AML, emphasizing recent advancements in technology, biomarker discovery, and therapeutic innovation. By bridging the gap between molecular insights and clinical practice, multi-omics integration promises to redefine AML management, paving the way for precision oncology and improved patient outcomes.

Humans↗

PubMed2005

The light-hyperresponsive high pigment-2dg mutation of tomato: alterations in the fruit metabolome.

Overall metabolic modifications between fruit of light-hyperresponsive high-pigment (hp) tomato (Lycopersicon esculentum) mutant plants and isogenic nonmutant (wt) control plants were compared. Targeted metabolite analyses, as well as large-scale nontargeted mass spectrometry (MS)-based metabolite profiling, were used to phenotype the differences in fruit metabolite composition. Targeted high-performance liquid chromatography with photodiode array detection (HPLC-PDA) metabolite analyses showed higher levels of isoprenoids and phenolic compounds in hp-2dg fruit. Nontargeted GC-MS profiling of red fruits produced 25 volatile compounds that showed a 1.5-fold difference between the genotypes. Analyses of red fruits using HPLC coupled to high-resolution quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) in both ESI-positive and ESI-negative mode generated, respectively, 6168 and 5401 mass signals, of which 142 and 303 showed a twofold difference between the genotypes. hp-2dg fruits are characterized by overproduction of many metabolites, several of which are known for their antioxidant or photoprotective activities. These metabolites may now be more closely implicated as resources recruited by plants to respond to and manage light stress. The similarity in metabolic alterations in fruits of hp-1 and hp-2 mutant plants helps us to understand how hp mutations affect cellular processes.

Ascorbic Acid↗

PubMed2026

A three-metabolite microbiota-associated signature for early risk stratification of gestational diabetes mellitus.

BACKGROUND: Gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes and long-term metabolic and cardiovascular risk. However, oral glucose tolerance testing at 24-28 gestational weeks limits early risk stratification. Gut microbiota-associated metabolites may reflect early metabolic abnormalities, including those relevant to cardiometabolic health, but robust early-pregnancy biomarkers remain limited. METHODS: We conducted a multicenter nested case-control and prospective study involving 2,693 pregnant women. Untargeted metabolomics and metagenomics were integrated to identify GDM-associated metabolites and gut microbial alterations. Three consistently dysregulated metabolites, 3-hydroxydecanoic acid, γ-Glu-Leu, and propionic acid, were quantified by targeted LC-MS/MS. Candidate algorithms were compared using repeated 10-fold cross-validation, and a final generalized linear model was externally and prospectively validated. RESULTS: Women who later developed GDM showed an adverse early-pregnancy metabolic profile, including higher BMI, triglycerides, and platelet count. Untargeted metabolomics identified 14 persistently altered metabolites enriched in energy, oxidative stress, and amino acid metabolism pathways. Metagenomics revealed taxonomic restructuring and coordinated microbiota-metabolite associations. The three-metabolite model achieved AUCs of 0.838 (95% CI, 0.791-0.885) in training, 0.840 (95% CI, 0.769-0.911) in internal validation, 0.955 (95% CI, 0.925-0.985) and 0.917 (95% CI, 0.875-0.958) in two external cohorts, and 0.969 (95% CI, 0.937-1.000) in the prospective cohort. CONCLUSION: Early microbiota-associated metabolic dysregulation is detectable before routine GDM diagnosis. This compact three-metabolite panel may support early GDM risk stratification and provides metabolic evidence relevant to broader cardiometabolic risk assessment in pregnancy.

Humans↗

PubMed2006

Survey of microarray technologies suitable to elucidate transcriptional networks as exemplified by studying KRAB zinc finger gene families.

Current microarray systems are suitable to monitor genome-wide expression patterns, to detect single-nucleotide polymorphisms (SNP), to identify target genes of transcription factors and DNA-protein interaction sites thereof as well as to determine genomic sites that are modified by methylation of CpG islands. In this review, advantages and limitations of individual microarray technologies are presented as well as experiences from ongoing studies on KRAB zinc finger gene families are taken to exemplify how different microarray approaches are applicable to elucidate complex transcriptional networks of gene regulation. However, bioinformaticians should be aware that each microarray technology has limitations in its sensitivity and selectivity that has to be taken into account once data mining on comprehensive genome-wide microarray data is conducted. In many cases, microarray results are the initial step to identify target genes of interest and to study the molecular regulation of biological processes thereof followed and validated by complementary proteome, metabolome or toponome analysis. Thus, microarray technologies can be considered a reliable approach for determining gene functions that might be modulated by electromagnetic fields.

Gene Expression Profiling↗

PubMed2026

Mechanic evaluation of Jisheng Shenqi Wan on calcium oxalate kidney stones: an integrated network pharmacology and metabolomics.

OBJECTIVE: To understand the efficacy of Jisheng Shenqi Wan (JSSQW, ) in treating calcium oxalate kidney stones (KS) and to investigate the mechanism of JSSQW action by combining network pharmacology with metabolomics analysis based on ultra-high performance liquid chromatography combined with tandem electrostatic field orbital trap high-resolution mass spectrometry (UHPLC-Q/Orbitrap HRMS). METHODS: The chemical components of JSSQW absorbed into rat blood were identified by UHPLC-Q/Orbitrap HRMS. The identified components were introduced into the Bioinformatics Analysis Tool for Molecular mechanism of Traditional Chinese Medicine platform to screen for target genes, followed by Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and disease enrichment analysis. A KS rat model was generated using the oxalic acid precursor method to examine the efficacy of JSSQW for treating KS. Serum metabolomics was used to monitor changes in endogenous substances in KS rats after JSSQW intervention. RESULTS: Twenty-three chemicals from JSSQW were identified in the blood of JSSQW gavage-administered rats. KEGG enrichment analysis predicted the top 20 signaling pathways affected by these 23 chemicals. Disease enrichment analysis showed that the target genes of these 23 chemicals were enriched in diseases of the urinary system and endocrine system, including kidney stones. In a KS rat model, JSSQW inhibited the aggregation of calcium oxalate crystals, reduced renal tubular injury, lowered the renal index, and improved biochemical indicators (blood creatinine, blood urea nitrogen). Serum metabolomics identified 25 differential metabolites that responded to JSSQW treatment. They were mainly lipids, with phosphatidylethanolamine and phosphorylcholine and their derivatives accounting for the highest proportion. Metabolic pathway analysis showed that the changes in differential metabolites were related to multiple metabolic pathways, especially sphingolipid metabolism and sphingolipid signaling pathways. CONCLUSIONS: JSSQW can inhibit the aggregation of calcium oxalate crystals in the kidneys, reduce tubular injury, and improve kidney function in KS rats. Its mechanism of action may be related to regulating disordered metabolites and metabolic pathways, especially glycerol phospholipid metabolism, sphingolipid metabolism, and sphingolipid signaling.

Drugs, Chinese Herbal↗

PubMed2026

Integrative Multi-Omics Deciphering of Gu Shu Kang Granules: A Comprehensive Systems Biology Approach to Unraveling Molecular Mechanisms in Sarcopenia-Osteoporosis Intervention.

INTRODUCTION: Sarcopenia is a degenerative musculoskeletal disease affecting the elderly, significantly impairing patients' quality of life and challenging modern medicine. This study innovatively combines Traditional Chinese Medicine (TCM) theories with modern medical research to explore the mechanisms by which Gushukang granules address sarcopenia. METHODS: The research integrated multi-dimensional research methods, including network pharmacology, metabolomics, and animal experiments, to comprehensively investigate the scientific mechanisms of Gushukang granules' intervention in sarcopenia. RESULTS: Network pharmacology analysis identified multiple potential targets related to muscle growth and repair. UPLC-Q-TOF MS technology tracked metabolic pathways, while animal experiments verified that Gushukang granules precisely regulate muscle metabolic balance by modulating key signaling pathways involved in protein synthesis and degradation. DISCUSSION: The findings demonstrate the potential of integrating traditional and modern medical approaches in addressing age-related muscle degradation, providing scientific validation for TCM treatment of sarcopenia. CONCLUSION: This study establishes a model for modernizing TCM research, offering solid scientific evidence for comprehensive intervention of chronic diseases in the elderly and highlighting the TCM concept of "preventing disease before its onset" in modern medical translation.

Sarcopenia↗

PubMed2003

Diet, nutrition, and cancer prevention: the postgenomic era.

The genomic era of human nutrition is upon us: the human genome and several plant genomes have been characterized, and genetically modified foods are now abundantly available in the marketplace. The link between diet and cancer is well established, and new genomic technologies have made possible the investigation of nutritional modulation of the carcinogenesis pathway with nutrients, micronutrients, and phytochemicals. Current study of nutrient-modulated carcinogenesis involves exploring the effect of nutrients on DNA damage and repair mechanisms; DNA methylation, which influences gene expression and cellular phenotypes; antioxidant rearranging and oxidative stress; target receptors and signal transduction pathways; cell cycle controls and check points; apoptosis; and antiangiogenic processes. With nutritional genomics, proteomics, and metabolomics, scientists are able to simultaneously elucidate the biological effects of dietary constituents on cell function and global gene expression. This generation of new knowledge on nutrient-gene interactions provides the justification for a research framework for diet and cancer prevention that is focused on identifying and developing new biomarkers as well as a novel and contemporary paradigm for dietary intervention.

Diet↗

PubMed2005

Amino acid transporters ASCT2 and LAT1 in cancer: partners in crime?

Relative to other neutral amino acid transporters, the expression levels of ASCT2 and LAT1, are coordinately elevated in a wide spectrum of primary human cancers, suggesting that they are frequently co-opted to support the "tumor metabolome". Each has recently been shown to play important roles in the growth and survival of cancer cell lines, making them potential targets for cancer therapy. The properties and putative relationship of these two amino acid exchangers are discussed in the context of their demonstrated utility in cancer biology, including cellular growth and survival signaling and integrated links to the mammalian target-of-rapamycin (mTOR) kinase.

Amino Acid Transport System ASC↗

PubMed2005

Global physiological understanding and metabolic engineering of microorganisms based on omics studies.

Through metabolic engineering, scientists seek to modify the metabolic pathways of living organisms to facilitate optimized, efficient production of target biomolecules. During the past decade, we have seen notable improvements in biotechnology, many of which have been based on metabolically engineered microorganisms. Recent developments in the fields of functional genomics, transcriptomics, proteomics, and metabolomics have changed metabolic engineering strategies from the local pathway level to the whole system level. This article focuses on recent advances in the field of metabolic engineering, which have been powered by the combined approaches of the various "omics" that allow us to understand the microbial metabolism at a global scale and to develop more effectively redesigned metabolic pathways for the enhanced production of target bioproducts.

Biomedical Engineering↗

PubMed2006

The emerging importance of DNA mapping and other comprehensive screening techniques, as tools to identify new drug targets and as a means of (cancer) therapy personalisation.

Every human being is genetically unique and this individuality is not only marked by morphologic and physical characteristics but also by an individual's response to a particular drug. Single nucleotide polymorphisms (SNPs) are largely responsible for one's individuality. A drug may be ineffective in one patient, whereas the exact same drug may cure another patient. Recent advances in DNA mapping and other screening technologies have provided researchers and drug developers with crucial information needed to create drugs that are specific for a given individual. In the future, physicians will be able to prescribe individualised drugs adjusted to, for example, activities of specific enzymatic pathways that would either be targeted by these drugs, or would be responsible for drug conversion or inactivation. Furthermore, the mapping of the human genome allows broader development and application of drugs that act on the level of gene transcription rather than as simple biochemical inhibitors or activators of certain enzymes. Such new approaches will maximise desired therapeutic results and may completely eliminate severe side effects. To illustrate the potential of genetic translational research, the authors discuss available analytical methodologies such as; gene arrays, flow cytometry-based screening for SNPs, proteomics, metabolomics, real-time PCR, and other methods capable of detecting both SNPs, as well as more profound changes in cell metabolism. Finally, the authors provide several examples that focus mostly on targeting protein-DNA interactions, but also other processes.

Antineoplastic Agents↗

PubMed2026

Engineering cold stress resilience in capsicum annuum through functional genomics and precision breeding.

This review synthesizes the molecular mechanisms of cold tolerance in pepper, integrating multi-omics data,genome editing, and precision breeding strategies to accelerate the development of cold-resilient cultivars. Cold stress is a significant environmental factor that affects the growth, productivity, and fruit quality of Capsicum annuum by impairing membrane integrity photosynthesis and cellular redox homeostasis. Although pepper has several endogenous cold-responsive regulators such as CaNAC035 and CabHLH035, along with antioxidant defense systems, its cold tolerance remains limited due to low transcriptional activation of key regulators, functional redundancy among cold-responsive genes, and the polygenicity of cold tolerance. These complexities, combined with low genetic diversity and linkage drag, have hindered the improvement of cold-resistant cultivars through conventional breeding. This review brings together the recent progress in understanding the molecular mechanisms of cold stress perception, signal transduction, transcriptional regulation, metabolic reprogramming, and phytohormone interactions in pepper. Precision Breeding 2.0 is a new innovation that combines the integration of multi-omics-based target identification with next-generation genome-editing techniques, allowing precise and multiplex engineering of complex and interconnected regulatory networks instead of single genes. We cover new approaches such as engineering the DREB/CBF pathway, allele-specific editing and targeted disruption of negative regulators to enhance the pathway(s) involved in cold response. Moreover, we propose a roadmap for integration of transcriptomics, proteomics, metabolomics, high-throughput phenomics, and speed breeding to accelerate the identification, validation, and deployment of superior alleles to boost cold tolerance. This review provides a foundation for developing climate-resilient pepper cultivars by connecting functional genomics with precision genome engineering approaches to maintain productivity under variable environmental conditions.

Capsicum↗

PubMed2004

Mass spectrometric approaches for characterizing bacterial proteomes.

The emergence of advanced liquid chromatography mass spectrometry technologies for characterizing very complex mixtures of proteins has greatly propelled the field of proteomics, the goal of which is the simultaneous examination of all the proteins expressed by an organism. This research area represents a paradigm shift in molecular biology by attempting to provide a top-down qualitative and quantitative view of all the proteins (including their modifications and interactions) that are essential for an organism's life cycle, rather than targeting a particular protein family. This level of global protein information about an organism such as a bacterium can be combined with genomic and metabolomic data to enable a systems biology approach for understanding how these organisms live and function.

Bacterial Proteins↗

PubMed2026

Subchronic benzo[a]pyrene exposure disrupts APOE4-regulated lipid metabolism to induce Tau hyperphosphorylation and cognitive deficits.

BACKGROUND: Benzo[a]pyrene (B[a]P) is both a carcinogen and a potent neurotoxic pollutant. Despite growing evidence linking B[a]P to neurological dysfunction, the responsible mechanisms have not been elucidated. METHODS: Here, we employed human apolipoprotein E4 (hAPOE4) transgenic mice and APOE knockout (APOE-KO) mice to evaluate the influence of APOE on B[a]P-mediated neurotoxicity. hAPOE4 mice overexpress the human APOE4 isoform, whereas APOE-KO mice lack APOE expression; wild-type C57BL/6 J mice served as controls. Animals received intraperitoneal injections of B[a]P at 0, 2.5, or 6.25 mg/kg on alternate days for 3 months. Spatial memory and learning were examined via Morris Water Maze (MWM). Neuronal morphology, including dendritic branching and spine density in the CA1 region of the hippocampus and dentate gyrus (DG), was assessed using Golgi-Cox staining. Neurofibrillary tangles were detected by silver glycine staining. Tau, phosphorylated Tau (Ser199 and Ser396), and LRP1 were evaluated using Western blot and immunohistochemical analyses. Chromatin immunoprecipitation PCR (ChIP-PCR) was undertaken to examine the regulation of APOE4 expression by the aryl hydrocarbon receptor (AHR). In addition, both untargeted metabolomics and lipidomics analyses were conducted following B[a]P exposure. RESULTS: B[a]P led to pronounced impairments in mouse spatial memory and learning, shown by greater escape latency, less time in the target quadrant, and a decreased number of platform crossings in MWM tests. Structural analyses revealed a significant reduction in dendritic branching within the hippocampal CA1 and DG regions. These neurobehavioral and morphological deficits were most severe in hAPOE4 mice, which displayed greater cognitive impairment and more extensive dendritic loss than B[a]P-treated wild-type mice, indicating that APOE4 amplifies B[a]P-induced neurotoxicity. ChIP assays demonstrated that B[a]P modulates APOE4 transcription through AHR-dependent mechanisms. Additionally, metabolomics and lipidomics analyses revealed widespread B[a]P-induced metabolic remodeling, suggesting that disrupted lipid metabolism and altered neuronal membrane integrity may contribute to the observed neurotoxicity and cognitive dysfunction. CONCLUSION: Collectively, the results indicate that B[a]P-mediated neurotoxicity may be facilitated, at least in part, by APOE4-dependent dysregulation of lipid metabolic pathways.

Animals↗

PubMed2026

Trade-off between photosynthetic promotion and nitrogen fixation suppression induced by chloroplast-targeted Mo nanoparticles in soybean.

Organelle-targeted nanomaterials offer opportunities to improve crop photosynthesis, yet their unintended effects on symbiotic nitrogen fixation remain poorly understood. Here, we developed chloroplast-targeted molybdenum nanoparticles (Chl-Mo) and compared their effects with those of ionic Mo (IonMo) and non-targeted Mo nanoparticles in soybean. Chl-Mo preferentially accumulated in chloroplasts, enhancing photosynthetic carbon assimilation, thylakoid development, PSII performance, sucrose transport, and biomass accumulation. However, this growth promotion was accompanied by suppressed nodule nitrogenase activity, reduced nif gene expression, inhibited GS/GOGAT-mediated nitrogen assimilation, and disrupted microoxic and ROS homeostasis in nodules. Integrated nodule proteomics and metabolomics showed downregulation of sucrose transport, glycolysis, pyruvate metabolism, and amino acid biosynthesis, indicating a decoupling between enhanced carbon input and nitrogen utilization. Root transcriptomics further revealed oxidative stress, impaired nitrate assimilation, and attenuated early symbiotic signaling. These findings demonstrate that chloroplast-targeted Mo delivery can enhance photosynthesis while compromising symbiotic nitrogen fixation, highlighting the need to evaluate belowground symbiotic functions when developing organelle-targeted nanotechnologies for sustainable agriculture.

Chloroplast-targeted Mo↗

PubMed2003

Histamine, part of the metabolome.

Histamine, a decarboxylated amino acid with a molecular mass of 112 daltons reveals multicoloured functional activities. Its role in allergy and inflammation is abundantly characterized. Moreover histamine is one of the neuotransmitters, has a role in gastric acid production and in maintenance of blood-brain barrier. In the last decade, many data were collected suggesting an important function of histamine in events of immune response and also in both benign and malignant cell proliferation. Our group collected data on the relevance of histamine as an autocrine factor in human melanoma. The outcome of the action seems to be closely related to the local and actual balance of histamine receptors (H1R, H2R, H3R and H4R) on tumor cells. Recently, using a gene targeted mouse strain (lacking an enzyme, histidine decarboxylase, the only one responsible for histamine production) many phenotype of the histamine-free mice were demonstrated. Our data suggest, that histamine, as part of the poorly characterized metabolome of the mammalian cells plays significant role in many physiological and pathological processes.

Animals↗

PubMed2025

Potential biomarkers for human Ascending aortic aneurysm identified through metagenomic and metabolomic analyses: A case-control study.

INTRODUCTION: Ascending aortic aneurysm (AsAA) is a high-risk cardiovascular condition; recent research indicates a possible association between gut microbiota, plasma metabolites, and the pathogenesis of AsAA. OBJECTIVE: This study aims to investigate the compositional and metabolic alterations in the gut microbiota of AsAA patients to identify potential biomarkers for AsAA. METHODS: This study enlisted 72 participants, comprising 44 individuals with AsAA and 28 healthy controls. All participants underwent examination for clinical features, and fecal and plasma samples were obtained for metagenomic and metabolomic studies. RESULTS: Metagenomic analysis revealed a significant reduction of 23 bacterial species in AsAA patients, including Bifidobacterium adolescentis, Bifidobacterium longum, Lactiplantibacillus plantarum, Enterococcus faecalis, and Streptococcus thermophilus, while 52 bacterial species, such as Prevotella copri, Phascolarctobacterium faecium, and Eubacterium ventriosum, were found to be enriched. Furthermore, we identified seven microbial co-abundance groups (CAGs), of which three (predominantly comprising Roseburia, Agathobacter, and Prevotella) were significantly elevated in AsAA patients, whereas one (predominantly comprising Escherichia) was substantially diminished. KEGG pathway enrichment analysis indicated that the biosynthesis of unsaturated fatty acids pathway displayed the most pronounced differences between groups. Metabolomics data revealed that 22 metabolites, including ceramides, were significantly elevated, while 8 metabolites, such as threonine, were notably downregulated. Moreover, clinical indicators like C-reactive protein (CRP) and complement components C3 and C4 have shown strong correlations with specific gut microbiota (Streptococcus, Prevotella) and plasma metabolites (threonine, ceramides). These findings indicate that inflammatory responses, metabolic dysregulation, and gut microbiota imbalance are pivotal in the etiology of AsAA. CONCLUSION: This study demonstrates substantial alterations in gut microbiota composition and plasma metabolites in patients with AsAA. Prevotella and ceramides exhibit potential as biomarkers for AsAA diagnosis. Furthermore, a synergy of Prevotella and ceramides may function as a potent disease prediction classifier, offering novel perspectives on the early diagnosis and targeted treatment of AsAA.

Humans↗

PubMed2005

Metabolomics in human nutrition: opportunities and challenges.

Metabolomics has been widely adopted in pharmacology and toxicology but is relatively new in human nutrition. The ultimate goal, to understand the effects of exogenous compounds on human metabolic regulation, is similar in all 3 fields. However, the application of metabolomics to nutritional research will be met with unique challenges. Little is known of the extent to which changes in the nutrient content of the human diet elicit changes in metabolic profiles. Moreover, the metabolomic signal from nutrients absorbed from the diet must compete with the myriad of nonnutrient signals that are absorbed, metabolized, and secreted in both urine and saliva. The large-bowel microflora also produces significant metabolic signals that can contribute to and alter the metabolome of biofluids in human nutrition. Notwithstanding these possible confounding effects, every reason exists to be optimistic about the potential of metabolomics for the assessment of various biofluids in nutrition research. This potential lies both in metabolic profiling through the use of pattern-recognition statistics on assigned and unassigned metabolite signals and in the collection of comprehensive data sets of identified metabolites; both objectives have the potential to distinguish between different dietary treatments, which would not have been targeted with conventional techniques. The latter objective sets out a well-recognized challenge to modern biology: the development of libraries of small molecules to aid in metabolite identification. The purpose of the present review was to highlight some early challenges that need to be addressed if metabolomics is to realize its great potential in human nutrition.

Diet↗