The key points in the pre-analytical procedures of blood and urine samples in metabolomics studies

Bi, Hai; Guo, Zhengyang; Jia, Xiao Bin; Liu, Huiying; Ma, Lulin; Xue, Lixiang

doi:10.1007/s11306-020-01666-2

Cited by 55 publications

(44 citation statements)

References 101 publications

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“…This application is consistent with typical metabolomics practices regarding pre-analytical factors [30], analytical study designs [13], and data processing procedures [14,31], although it should be emphasized that exogenous analytes are often only present in limited numbers of samples, hence popular data reduction techniques like the '80% rule' should not be applied to extract corresponding information, as discussed previously [9].…”

Section: Discussionsupporting

confidence: 72%

Metabolomics data complemented drug use information in epidemiological databases: pilot study of potential kidney donors

Klont

Kremer

Neto

et al. 2021

Journal of Clinical Epidemiology

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Section: Discussionsupporting

confidence: 72%

Metabolomics data complemented drug use information in epidemiological databases: pilot study of potential kidney donors

Klont

Kremer

Neto

et al. 2021

Journal of Clinical Epidemiology

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“…Despite the fact that we have analyzed urine from a diverse population and using two different immunosuppressive drugs, additional independent validation studies that allow for prospective clinical testing and application of these metabolite panels will be required to validate the performance of these biomarker panels for diagnostic transplant monitoring. This is important because the diversity of the cohort also introduces many factors that are known to affect the metabolic profiles of patients, such as age, gender, BMI, diet, exercise, comorbidities, and even the time of day as a function of the circadian rhythm [70]. In our cohorts, age and gender were significantly different and as would be expected from a pediatric population, they had few comorbidities.…”

Section: Discussionmentioning

confidence: 83%

Targeted Urine Metabolomics for Monitoring Renal Allograft Injury and Immunosuppression in Pediatric Patients

Sigdel

Schroeder

Yang

et al. 2020

JCM

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Despite new advancements in surgical tools and therapies, exposure to immunosuppressive drugs related to non-immune and immune injuries can cause slow deterioration and premature failure of organ transplants. Diagnosis of these injuries by non-invasive urine monitoring would be a significant clinical advancement for patient management, especially in pediatric cohorts. We investigated the metabolomic profiles of biopsy matched urine samples from 310 unique kidney transplant recipients using gas chromatography–mass spectrometry (GC-MS). Focused metabolite panels were identified that could detect biopsy confirmed acute rejection with 92.9% sensitivity and 96.3% specificity (11 metabolites) and could differentiate BK viral nephritis (BKVN) from acute rejection with 88.9% sensitivity and 94.8% specificity (4 metabolites). Overall, targeted metabolomic analyses of biopsy-matched urine samples enabled the generation of refined metabolite panels that non-invasively detect graft injury phenotypes with high confidence. These urine biomarkers can be rapidly assessed for non-invasive diagnosis of specific transplant injuries, opening the window for precision transplant medicine.

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“…The following step includes performing the experimentation and the resulting sample collection, storage and preparation. These steps are also critical since many biases may be introduced, potentially altering the metabolite/lipid composition of the biological sample [ 50 ]. Consistency of experimental methods (e.g., timing of collection, materials and reagents, storage temperature) is paramount to enable acquisition of accurate and reproducible results [ 36 ].…”

Section: Metabolomics and Lipidomics Guide For Exercise Researchermentioning

confidence: 99%

“…In humans, metabolite profiling of urine samples is appealing since it has proven to be more stable, under less homeostatic regulation than other biofluids [ 59 ], and collected non-invasively and in larger volumes compared to other biofluids. It has been suggested that the urinary metabolome can be considered complementary to the blood metabolome, since urine contains numerous end-products derived from food and drug metabolism [ 50 ]. Recent publications support the utility of urine analysis to reflect metabolomic changes following acute exercise, as analysis of urine permits confirmation of well-appreciated exercise-induced changes in metabolites related to several pathways including glycolysis (e.g., pyruvate and lactate), TCA cycle (e.g., citrate and succinate) and amino acid metabolism (e.g., alanine, taurine) [ 82 , 83 , 84 , 85 , 86 ].…”

Section: Metabolomic and Lipidomic Analyses Of Acute Exercise-regumentioning

confidence: 99%

Metabolomics and Lipidomics: Expanding the Molecular Landscape of Exercise Biology

2021

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Dynamic changes in circulating and tissue metabolites and lipids occur in response to exercise-induced cellular and whole-body energy demands to maintain metabolic homeostasis. The metabolome and lipidome in a given biological system provides a molecular snapshot of these rapid and complex metabolic perturbations. The application of metabolomics and lipidomics to map the metabolic responses to an acute bout of aerobic/endurance or resistance exercise has dramatically expanded over the past decade thanks to major analytical advancements, with most exercise-related studies to date focused on analyzing human biofluids and tissues. Experimental and analytical considerations, as well as complementary studies using animal model systems, are warranted to help overcome challenges associated with large human interindividual variability and decipher the breadth of molecular mechanisms underlying the metabolic health-promoting effects of exercise. In this review, we provide a guide for exercise researchers regarding analytical techniques and experimental workflows commonly used in metabolomics and lipidomics. Furthermore, we discuss advancements in human and mammalian exercise research utilizing metabolomic and lipidomic approaches in the last decade, as well as highlight key technical considerations and remaining knowledge gaps to continue expanding the molecular landscape of exercise biology.

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The key points in the pre-analytical procedures of blood and urine samples in metabolomics studies

Cited by 55 publications

References 101 publications

Metabolomics data complemented drug use information in epidemiological databases: pilot study of potential kidney donors

Metabolomics data complemented drug use information in epidemiological databases: pilot study of potential kidney donors

Targeted Urine Metabolomics for Monitoring Renal Allograft Injury and Immunosuppression in Pediatric Patients

Metabolomics and Lipidomics: Expanding the Molecular Landscape of Exercise Biology

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