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

Author:

De Spiegeleer Margot1ORCID,Plekhova Vera1ORCID,Geltmeyer Jozefien2ORCID,Schoolaert Ella2ORCID,Pomian Beata1,Singh Varoon1ORCID,Wijnant Kathleen1ORCID,De Windt Kimberly1ORCID,Paukku Volter1ORCID,De Loof Alexander3,Gies Inge4ORCID,Michels Nathalie5ORCID,De Henauw Stefaan3,De Graeve Marilyn1ORCID,De Clerck Karen2ORCID,Vanhaecke Lynn16ORCID

Affiliation:

1. Laboratory of Integrative Metabolomics, Department of Translational Physiology, Infectiology and Public Health, Ghent University, Ghent, Belgium.

2. Department of Materials, Textiles and Chemical Engineering, Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium.

3. Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.

4. Department of Pediatrics, Free University of Brussels (VUB), University Hospital Brussels (UZ Brussel), Brussels, Belgium.

5. Department of Developmental, Personality and Social Psychology, Ghent University, Ghent, Belgium.

6. Institute for Global Food Security, School of Biological Sciences, Queen’s University, Belfast, UK.

Abstract

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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