An NMR Metabolomics Analysis Pipeline for Human Neutrophil Samples with Limited Source Material

Filbertine, Grace, Abdullah, Genna A, Gill, Lucy, Grosman, Rudi ORCID: 0000-0002-0233-7112, Phelan, Marie M, Chiewchengchol, Direkrit, Hirankarn, Nattiya and Wright, Helen L ORCID: 0000-0003-0442-3134 (2025) An NMR Metabolomics Analysis Pipeline for Human Neutrophil Samples with Limited Source Material METABOLITES, 15 (9). 612-. ISSN 2218-1989, 2218-1989

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Abstract

Background/Objectives: Untargeted ¹H NMR metabolomics is a robust and reproducible approach used to study the metabolism in biological samples, providing unprecedented insight into altered cellular processes associated with human diseases. Metabolomics is increasingly used alongside other techniques to detect an instantaneous altered cellular function, for example, the role of neutrophils in the inflammatory response. However, in some clinical settings, blood samples may be limited, restricting the amount of cellular material available for a metabolomic analysis. In this study, we wanted to establish an optimal 1D ¹H NMR metabolomic pipeline for use with human neutrophil samples with low amounts of input material. Methods: We compared the effect of different neutrophil isolation protocols on metabolite profiles. We also compared the effect of the absolute cell counts (100,000 to 5,000,000) on the identities of metabolites that were detected with an increasing number of scans (NS) from 256 to 2048. Results/Conclusions: The variance in the neutrophil profile was equivalent between the isolation methods, and the choice of isolation method did not significantly alter the metabolite profile. The minimum number of cells required for the detection of neutrophil metabolites was 400,000 at an NS of 256 for the spectra acquired with a cryoprobe (700 MHz). Increasing the NS to 2048 increased metabolite detection at the very lowest cell counts (<400,000 neutrophils); however, this was associated with a significant increase in the analysis time, which would be rate-limiting for large studies. The application of a correlation-reliability-score-filtering method to the spectral bins preserved the essential discriminatory features of the PLS-DA models whilst improving the dataset robustness and analytical precision.

Item Type:	Article
Uncontrolled Keywords:	NMR, metabolomics, neutrophils, paediatric medicine
Divisions:	Faculty of Health & Life Sciences Faculty of Health & Life Sciences > Inst. Life Courses & Medical Sciences
Depositing User:	Symplectic Admin
Date Deposited:	04 Sep 2025 10:48
Last Modified:	16 Jun 2026 17:03
DOI:	10.3390/metabo15090612
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3194271
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