Application of metabolomics in autoimmune diseases: Insight into biomarkers and pathology

Kang, Jian; Zhu, Ling; Lü, Jingli; Zhang, Xiaojian

doi:10.1016/j.jneuroim.2015.01.001

Cited by 71 publications

(50 citation statements)

References 80 publications

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“…MRS has been widely used as an analytical method in biochemical and biomedical studies to elucidate molecular structures of new compounds and investigate cellular metabolism in tissue specimens and cultured cells . MRS has further found broad implementation in investigations of new diagnostic, prognostic and therapeutic evaluation tools for a wide range of diseases …”

Section: Introductionmentioning

confidence: 99%

Applications of high‐resolution magic angle spinning MRS in biomedical studies I—cell line and animal models

et al. 2017

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Summary High-resolution magic angle spinning (HRMAS) magnetic resonance spectroscopy (MRS) allows for direct measurements of non-liquid tissue and cell specimens to present valuable insights of the cellular metabolisms of physiological and pathological processes. HRMAS produces high resolution spectra comparable to those obtained from solutions of specimen extracts but without complex metabolite extraction processes, and preserves the tissue cellular structure suitable for pathological examinations following spectroscopic analysis. The technique has been applied in a wide variety of biomedical and biochemical studies and become one of the major platforms of metabolomic studies. By quantifying single metabolites, metabolite ratios or metabolic profiles in their entirety, HRMAS presents promising possibilities for diagnosis and prediction of clinical outcomes for various diseases, as well as deciphering of metabolic changes resulting from drug therapies or xenobiotic interactions. In this review, we evaluate HRMAS MRS results on animal models and cell lines reported in literature, and present the diverse applications of the method for the understanding of pathological processes, the effectiveness of therapies, the developments of disease animal models, and the new progresses in the HRMAS methodology.

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Section: Introductionmentioning

confidence: 99%

Applications of high‐resolution magic angle spinning MRS in biomedical studies I—cell line and animal models

et al. 2017

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“…Because of recent advancements in high-throughput molecular profiling technologies, which have permitted sensitive monitoring of the relationship between biofluid/tissue metabolism and pathology [7–10], we used mass spectrometry-based non-targeted metabolite profiling of 145 CSF samples of patients and controls, systematically determined a universal biomarker composite which allowed simultaneous discrimination of each IDD from others including normal control group. We further mechanistically elucidated the biochemical traits of the remission-relapse transition status common in all types of IDDs (MS, NMOSD, and ITM) and disease type-specific metabolic consequences.…”

Section: Introductionmentioning

confidence: 99%

Disease Type- and Status-Specific Alteration of CSF Metabolome Coordinated with Clinical Parameters in Inflammatory Demyelinating Diseases of CNS

et al. 2016

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Central nervous system (CNS) inflammatory demyelinating diseases (IDDs) are a group of disorders with different aetiologies, characterized by inflammatory lesions. These disorders include multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), and idiopathic transverse myelitis (ITM). Differential diagnosis of the CNS IDDs still remains challenging due to frequent overlap of clinical and radiological manifestation, leading to increased demands for new biomarker discovery. Since cerebrospinal fluid (CSF) metabolites may reflect the status of CNS tissues and provide an interfacial linkage between blood and CNS tissues, we explored multi-component biomarker for different IDDs from CSF samples using gas chromatography mass spectrometry-based metabolite profiling coupled to multiplex bioinformatics approach. We successfully constructed the single model with multiple metabolite variables in coordinated regression with clinical characteristics, expanded disability status scale, oligoclonal bands, and protein levels. The multi-composite biomarker simultaneously discriminated four different immune statuses (a total of 145 samples; 54 MS, 49 NMOSD, 30 ITM, and 12 normal controls). Furthermore, systematic characterization of transitional metabolic modulation identified relapse-associated metabolites and proposed insights into the disease network underlying type-specific metabolic dysfunctionality. The comparative analysis revealed the lipids, 1-monopalmitin and 1-monostearin were common indicative for MS, NMOSD, and ITM whereas fatty acids were specific for the relapse identified in all types of IDDs.

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“…Moreover, the concentration of metabolites in different biological fluids has been found significantly altered in autoimmunity: augmented pyruvic acid in blood of multiple sclerosis subjects suggests a defect of pyruvate metabolism in the course of disease , while deranged levels of metabolites of extra‐mitochondrial glucose metabolism, such as sorbitol, fructose, and lactate, in cerebrospinal fluid of the same type of patients correlate with disease progression . These are only two examples of the quantitative modulation of metabolites described in autoimmune subjects (for a comprehensive review see ) but our knowledge of metabolite participation in the pathogenesis of autoimmune diseases is still full of gaps. The comprehension of metabolic variation as a pathogenic force will help the development of novel therapeutic programs to control T‐cell differentiation and functions with the aim of suppressing autoimmunity.…”

Section: The Metabolic Aspects Of Immune Functionmentioning

confidence: 99%

Immunometabolism of human autoimmune diseases: from metabolites to extracellular vesicles

et al. 2017

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Edited by Wilfried EllmeierImmunometabolism focuses on the mechanisms regulating the impact of metabolism on lymphocyte activity and autoimmunity outbreak. The adipose tissue is long known to release adipokines, either pro-or anti-inflammatory factors bridging nutrition and immune function. More recently, adipocytes were discovered to also release extracellular vesicles (EVs) containing a plethora of biological molecules, including metabolites and microRNAs, which can regulate cell function/metabolism in distant tissues, suggesting that immune regulatory function by the adipose tissue may be far more complex than originally thought. Moreover, EVs were also identified as important mediators of immune cell-to-cell communication, adding a further microenvironmental mechanism of plasticity to fine-tune specific lymphocyte responses. This Review will first focus on the known mechanisms by which metabolism impacts immune function, presenting a systemic (nutrition and long-ranged adipokines) and a cellular point of view (metabolic pathway derangement in autoimmunity). It will then discuss the new discoveries concerning how EVs may act as nanometric vehicles integrating immune/metabolic responses at the level of the extracellular environment and affecting pathological processes.Keywords: adipose tissue; autoimmunity; extracellular microRNAs; extracellular vesicles; lymphocytes Immunometabolism is the research field that links immunology and metabolism, originally regarded as distinct disciplines [1]. Growing interest in the field has being fostered by recent understanding that the metabolic state of an organism has an impact on lymphocyte physiology and activity. CD4

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Application of metabolomics in autoimmune diseases: Insight into biomarkers and pathology

Cited by 71 publications

References 80 publications

Applications of high‐resolution magic angle spinning MRS in biomedical studies I—cell line and animal models

Applications of high‐resolution magic angle spinning MRS in biomedical studies I—cell line and animal models

Disease Type- and Status-Specific Alteration of CSF Metabolome Coordinated with Clinical Parameters in Inflammatory Demyelinating Diseases of CNS

Immunometabolism of human autoimmune diseases: from metabolites to extracellular vesicles

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