» Articles » PMID: 38248827

Bayesian C-Metabolic Flux Analysis of Parallel Tracer Experiments in Granulocytes: A Directional Shift Within the Non-Oxidative Pentose Phosphate Pathway Supports Phagocytosis

Overview
Journal Metabolites
Publisher MDPI
Date 2024 Jan 22
PMID 38248827
Authors
Affiliations
Soon will be listed here.
Abstract

The pentose phosphate pathway (PPP) plays a key role in the cellular regulation of immune function; however, little is known about the interplay of metabolic adjustments in granulocytes, especially regarding the non-oxidative PPP. For the determination of metabolic mechanisms within glucose metabolism, we propose a novel set of measures for C-metabolic flux analysis based on ex vivo parallel tracer experiments ([1,2-C]glucose, [U-C]glucose, [4,5,6-C]glucose) and gas chromatography-mass spectrometry labeling measurements of intracellular metabolites, such as sugar phosphates and their fragments. A detailed constraint analysis showed that the permission range for net and irreversible fluxes was limited to a three-dimensional space. The overall workflow, including its Bayesian flux estimation, resulted in precise flux distributions and pairwise confidence intervals, some of which could be represented as a line due to the strength of their correlation. The principal component analysis that was enabled by these behaviors comprised three components that explained 99.6% of the data variance. It showed that phagocytic stimulation reversed the direction of non-oxidative PPP net fluxes from ribose-5-phosphate biosynthesis toward glycolytic pathways. This process was closely associated with the up-regulation of the oxidative PPP to promote the oxidative burst.

Citing Articles

C-Metabolic flux analysis detected a hyperoxemia-induced reduction of tricarboxylic acid cycle metabolism in granulocytes during two models of porcine acute subdural hematoma and hemorrhagic shock.

Wolfschmitt E, Vogt J, Hogg M, Wachter U, Stadler N, Kapapa T Front Immunol. 2024; 14:1319986.

PMID: 38332911 PMC: 10850868. DOI: 10.3389/fimmu.2023.1319986.


Ex Vivo C-Metabolic Flux Analysis of Porcine Circulating Immune Cells Reveals Cell Type-Specific Metabolic Patterns and Sex Differences in the Pentose Phosphate Pathway.

Hogg M, Wolfschmitt E, Wachter U, Zink F, Radermacher P, Vogt J Biomolecules. 2024; 14(1).

PMID: 38254698 PMC: 10813356. DOI: 10.3390/biom14010098.

References
1.
Lima V, Erban A, Daubermann A, Freire F, Porto N, Candido-Sobrinho S . Establishment of a GC-MS-based C-positional isotopomer approach suitable for investigating metabolic fluxes in plant primary metabolism. Plant J. 2021; 108(4):1213-1233. DOI: 10.1111/tpj.15484. View

2.
Clasquin M, Melamud E, Singer A, Gooding J, Xu X, Dong A . Riboneogenesis in yeast. Cell. 2011; 145(6):969-80. PMC: 3163394. DOI: 10.1016/j.cell.2011.05.022. View

3.
TeSlaa T, Ralser M, Fan J, Rabinowitz J . The pentose phosphate pathway in health and disease. Nat Metab. 2023; 5(8):1275-1289. PMC: 11251397. DOI: 10.1038/s42255-023-00863-2. View

4.
Crown S, Long C, Antoniewicz M . Optimal tracers for parallel labeling experiments and C metabolic flux analysis: A new precision and synergy scoring system. Metab Eng. 2016; 38:10-18. PMC: 5891732. DOI: 10.1016/j.ymben.2016.06.001. View

5.
Ruhl M, Rupp B, Noh K, Wiechert W, Sauer U, Zamboni N . Collisional fragmentation of central carbon metabolites in LC-MS/MS increases precision of ¹³C metabolic flux analysis. Biotechnol Bioeng. 2011; 109(3):763-71. DOI: 10.1002/bit.24344. View