Rapid ex vivo molecular fingerprinting of biofluids using laser-assisted rapid evaporative ionization mass spectrometry

Plekhova, Vera; Meulebroek, Lieven Van; Graeve, Marilyn De; Perdones-Montero, Álvaro; Spiegeleer, Margot De; Paepe, Ellen De; Walle, Emma Van de; Takáts, Zoltán; Cameron, Simon; Vanhaecke, Lynn

doi:10.1038/s41596-021-00580-8

Cited by 17 publications

(28 citation statements)

References 46 publications

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“…Furthermore, REI is an ambient ionization technique, thus can achieve direct real-time analysis of biological fluids with almost no sample pretreatment. [13] After MS data acquisition, multivariate statistical methods are required to interpret the information obtained from MS datasets, [14] including unsupervised clustering and supervised machine learning (ML) model. Unsupervised methods, such as principal component analysis (PCA), [15] cluster samples based on the variation of metabolic fingerprints without the prior knowledge of the sample label.…”

Section: Methodsmentioning

confidence: 99%

“…Furthermore, REI is an ambient ionization technique, thus can achieve direct real‐time analysis of biological fluids with almost no sample pretreatment. [ 13 ]…”

Section: Methodsmentioning

confidence: 99%

“…REIMS utilizes real‐time metabolic analysis of the aerosol produced from various biological materials without sample preparation, including biological fluids, cell culture lines, human tissue, and microorganisms, [13a] indicating the capability of real‐time diagnosis and especially intraoperative detection.…”

Section: Clinical Application Of Mass Spectrometry‐based Metabolic Fi...mentioning

confidence: 99%

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Emerging Applications of Mass Spectrometry‐Based Metabolic Fingerprinting in Clinics

Cao

Wang

Yong

et al. 2022

Advanced Intelligent Systems

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A number of recently developed mass spectrometry (MS)‐based metabolic fingerprinting analyses are promoting metabolic analysis systems into practical clinical applications, including but not limited to disease diagnosis. Herein, recent cutting‐edge research on mass spectrometry‐based metabolic fingerprinting analytical methodology and clinical applications are described. These developments resolve challenges regarding the practical clinical applications of MS‐based metabolic fingerprinting analysis systems, such as rapid signal readout, high throughput and direct MS analysis, and intelligent data mining of complex biological samples.

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Section: Methodsmentioning

confidence: 99%

“…Furthermore, REI is an ambient ionization technique, thus can achieve direct real‐time analysis of biological fluids with almost no sample pretreatment. [ 13 ]…”

Section: Methodsmentioning

confidence: 99%

Section: Clinical Application Of Mass Spectrometry‐based Metabolic Fi...mentioning

confidence: 99%

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Emerging Applications of Mass Spectrometry‐Based Metabolic Fingerprinting in Clinics

Cao

Wang

Yong

et al. 2022

Advanced Intelligent Systems

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“…To date, metabolomics of human biofluids is emerging as a promising biofocus as it provides advantages that classical diagnostics do not, following discovery of a suite of clinically relevant biomarkers that are simultaneously affected by disease while contributing to the elucidation of metabolic pathways underlying particular phenotypes of health and disease (i.e., metabotyping) (1)(2)(3). The most urgent application of metabolomics remains the identification of pathologies in children as early-infancy exposures, including nutrition and illness, severely affect adult health and functionality as well (4).…”

Section: Introductionmentioning

confidence: 99%

“…To date, LA-REIMS is the only ambient ionization mass spectrometry (AIMS) platform that has been successfully used for the automated analysis of a range of crude biofluids, including feces, saliva, urine, etc. ( 1 ). LA-REIMS enables an analysis rate of only few min per sample and demonstrates substantial congruencies with mass spectra obtained by conventional metabolomics ( 16 , 21 , 22 ).…”

Section: Introductionmentioning

confidence: 99%

Point-of-care applicable metabotyping using biofluid-specific electrospun MetaSAMPs directly amenable to ambient LA-REIMS

et al. 2023

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In recent years, ambient ionization mass spectrometry (AIMS) including laser ablation rapid evaporation IMS, has enabled direct biofluid metabolome analysis. AIMS procedures are, however, still hampered by both analytical, i.e., matrix effects, and practical, i.e., sample transport stability, drawbacks that impede metabolome coverage. In this study, we aimed at developing biofluid-specific metabolome sampling membranes (MetaSAMPs) that offer a directly applicable and stabilizing substrate for AIMS. Customized rectal, salivary, and urinary MetaSAMPs consisting of electrospun (nano)fibrous membranes of blended hydrophilic (polyvinylpyrrolidone and polyacrylonitrile) and lipophilic (polystyrene) polymers supported metabolite absorption, adsorption, and desorption. Moreover, MetaSAMP demonstrated superior metabolome coverage and transport stability compared to crude biofluid analysis and was successfully validated in two pediatric cohorts (MetaBEAse, n = 234 and OPERA, n = 101). By integrating anthropometric and (patho)physiological with MetaSAMP-AIMS metabolome data, we obtained substantial weight-driven predictions and clinical correlations. In conclusion, MetaSAMP holds great clinical application potential for on-the-spot metabolic health stratification.

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Rapid LA-REIMS-based metabolic fingerprinting of serum discriminates aflatoxin-exposed from non-exposed pregnant women: a prospective cohort from the Butajira Nutrition, Mental Health, and Pregnancy (BUNMAP) Study in rural Ethiopia

Tesfamariam,

Plekhova,

Gebreyesus

et al. 2024

Mycotoxin Res

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To date, the changes in maternal metabolic response associated with prenatal aflatoxin exposure remain largely unknown. This study investigated the effects of prenatal aflatoxin exposure on the maternal serum metabolome in rural Ethiopia. A total of 309 pregnant women were enrolled prospectively, and their serum aflatoxin concentrations were measured using targeted liquid chromatography coupled to tandem mass spectrometry (LC–MS/MS). Serum metabolic fingerprints were obtained using laser-assisted rapid evaporative ionization mass spectrometry (LA-REIMS), followed by combination of univariate and multivariate statistical modelling to evaluate changes in circulating metabolic features between aflatoxin-exposed and unexposed mothers and to select discriminatory metabolic features. The analysis revealed that 81.8% of women were exposed to aflatoxins, with a median concentration of 12.9 pg/mg albumin. The orthogonal partial least square discriminant analysis (OPLS-DA) regression model demonstrated significant disparities in the serum metabolome when comparing Ethiopian pregnant women with low vs high aflatoxin exposure. Thirty-two differentially expressed metabolic features were identified, affecting aminoacyl-tRNA biosynthesis pathway. Several discriminatory metabolites have been identified, including glutamine, tryptophan, tyrosine, carnosine, and 1-methylnicotinamide. In conclusion, our findings indicate that aflatoxin exposure during pregnancy have shown disparities in the maternal serum metabolome, primarily affecting protein synthesis. Further research is needed to identify specific metabolite biomarkers and elucidate the underlying mechanisms.

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Rapid ex vivo molecular fingerprinting of biofluids using laser-assisted rapid evaporative ionization mass spectrometry

Abstract: L. (2021). Rapid ex vivo molecular fingerprinting of biofluids using laser-assisted rapid evaporative ionization mass spectrometry. Nature Protocols.

Cited by 17 publications

References 46 publications

Emerging Applications of Mass Spectrometry‐Based Metabolic Fingerprinting in Clinics

Emerging Applications of Mass Spectrometry‐Based Metabolic Fingerprinting in Clinics

Point-of-care applicable metabotyping using biofluid-specific electrospun MetaSAMPs directly amenable to ambient LA-REIMS

Rapid LA-REIMS-based metabolic fingerprinting of serum discriminates aflatoxin-exposed from non-exposed pregnant women: a prospective cohort from the Butajira Nutrition, Mental Health, and Pregnancy (BUNMAP) Study in rural Ethiopia

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