bioRxiv Science⌕ Search

bioRxiv · 10.1101/2023.08.29.555241

Comparative metabolomics and microbiome analysis of Ethanol vs. OMNImet/gene GUT fecal stabilization

Abstract

Metabolites from feces provide important insights into the functionality of the gut microbiome. As immediate freezing is not always feasible in gut microbiome studies, there is a need for sampling protocols that provide stability of the fecal metabolome and microbiome at room temperature (RT). For this purpose, we investigated the stability of various metabolites and the microbiome (16S ribosomal RNA) in feces collected in 95% ethanol (EtOH) or OMNImet(R)*GUT/ OMNIgene(R)*GUT. To simulate in field-collection scenarios, the samples were stored at different temperatures at varying durations (24h +4{degrees}C, 24h RT, 36h RT, 48h RT, and 7 days RT), and compared to aliquots immediately frozen at -80{degrees}C. We applied several targeted and untargeted metabolomics platforms to measure lipids, polar untargeted metabolites, endocannabinoids, short chain fatty acids (SCFAs), and bile acids (BAs). We found that SCFAs in the non-stabilized samples increased over time, while a stable profile was recorded in sample aliquots stored in 95% EtOH and OMNImet(R)*GUT. When comparing the metabolite levels between fecal aliquots stored at room temperature and at +4{degrees}C, we detected several changes in microbial metabolites, including multiple BAs and SCFAs. Taken together, we found that storing fecal samples at room temperature and stabilizing them in 95% EtOH yielded metabolomic results comparable to flash freezing. We also found that overall composition of the gut microbiome did not vary significantly between different storage types. However, there were notable differences observed in alpha diversity. Taken together, the stability of the metabolome and microbiome in 95 % EtOH provided similar results as the validated commercial collection kits OMNImet(R)*GUT and OMNIgene(R)*GUT, respectively. IMPORTANCEThe analysis of the gut metabolome and microbiome requires the separate collection of fecal specimens using conventional methods or commercial kits. However, these approaches can potentially introduce sampling errors and biases. In addition, the logistical requirements of studying large human cohorts have driven the need for home collection and transport of human fecal specimens at room temperature. By adopting a unified sampling approach at room temperature, we can enhance sampling convenience and practicality, leading to a more precise and comprehensive understanding of gut microbial function. However, the development and applications of such unified sampling systems still face limitations. The results presented in this study aim to address this knowledge gap by investigating the stability of metabolites and the microbiome (16S ribosomal RNA) from fecal samples collected using 95% EtOH, in comparison to well-established commercial collection kits for fecal metabolome (OMNImet(R)*GUT) and microbiome (OMNIgene(R) *GUT) profiling. Additionally, we perform a comparative analysis of various platforms and metabolomic coverage using matrices containing ethanol, evaluating aspects of sensitivity, robustness, and throughput.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Isokaanta, H., Pinto da Silva, L., Karu, N., Kallonen, T., Aatsinki, A. K., Hankemeier, T., Schimmel, L., Diaz, E., Hyotylainen, T., Dorrestein, P. C., Knight, R., Oresic, M., Daouk, R. K., Dickens, A. M., Lamichhane, S.. 2023-08-29. Comparative metabolomics and microbiome analysis of Ethanol vs. OMNImet/gene GUT fecal stabilization. https://doi.org/10.1101/2023.08.29.555241

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Modular assembly of mitochondrial complex III from a dynamic matrix domain pool

Mitochondrial complex III is a central component of the cellular energy metabolism. It is an obligate dimer of catalytic and accessory subunits that are encoded by two genomes. How its large matrix domain, formed by the core proteins Qcr1 and Qcr2, is built and joined to the membrane part and during assembly is not known. Here we show that Qcr1 and Qcr2 preassemble independently of complex III into matrix domain modules. Cryo-EM structures from a cardiolipin-deficient yeast strain and of recombinant protein resolved single, double and triple matrix domains, which are linked by the C-terminal tail of Qcr1. In the mature complex III, the same tail binds cytochrome b and cardiolipin. The modules form a dynamic pool, in which assembly species interconvert and exchange subunits. Mutations at the module interfaces, including mimics of human disease variants, reshape this pool and deletion of the Qcr1 tail impairs respiratory growth. Substitution of a tyrosine residue linked to parkinsonism exposes a conserved cysteine residue to oxidation. A cryo-EM structure of an assembly intermediate shows a cap of two matrix domains bound to a monomeric membrane module of cytochrome b, Qcr7, Qcr8 and cytochrome c1. We propose that complex III receives its matrix domain from a dynamic pool of prebuilt modules, which organizes the dimerization of the complex.

biochemistry↗

Vasopressin V2 receptor phosphopeptide reshapes the conformational landscape of arrestin-2 beyond C-tail detachment

Binding of phosphorylated GPCR tails influences arrestin conformation, but the contribution of this interaction to the interdomain rotation associated with activation remains incompletely characterised. In particular, it remains unclear whether displacement of the arrestin C-tail is sufficient to favor larger interdomain rotations or whether the bound phosphotail exerts an additional effect on the conformational landscape. Here, we used enhanced-sampling simulations to characterise the conformational free-energy landscapes of basal (unbound) and V2Rpp-bound arrestin-2. We find that V2Rpp binding broadened the range of energetically accessible interdomain rotation angles relative to basal arrestin-2. However, the pronounced rotation observed in the experimental structures, while accessible, was not strongly favored. Strikingly, C-tail displacement alone does not reproduce this effect, as arrestin-2 retains a strong preference for small interdomain rotation angles in the absence of V2Rpp. Moreover, the C-tail-detached state is energetically unfavorable in the absence of V2Rpp. Together, these findings quantify the effects of V2Rpp binding on the interdomain rotation of arrestin-2 and disentangle the effects of phosphopeptide binding from those of C-tail detachment.

biochemistry↗

Interventional breath analysis reveals oral microbial conversion of 1,2-Propanediol into Propanal and 1-Propanol

Background: Orally exhaled breath contains volatile organic compounds (VOCs) that may reflect local microbial metabolism as well as systemic processes. Consequently, the breath sampling route can influence VOC profiles and complicate biomarker interpretation. Previous studies have shown that 1-propanol is substantially enriched in orally compared with nasally exhaled breath. Objective: To determine whether a controlled oral challenge with 1,2-propanediol (1,2-PD) induces sampling route-dependent changes in breath 1-propanol concentrations. Methods: Ten healthy volunteers received 0.1 mL 1,2-PD diluted in approximately 50 mL water. The solution was used as an oral rinse for approximately 30 s and then expectorated. Matched oral and nasal end-tidal breath samples were collected before administration, immediately afterwards, and at 15-min intervals. Propanal, 1-propanol, acetol, acetone, and isoprene were analysed using gas chromatograph-ion mobility spectrometer (GC-IMS). Results: Oral 1,2-PD exposure produced a rapid and transient increase in exhaled propanal and 1-propanol signals, with the largest responses immediately after administration and at the second post-intervention measurement. In contrast, nasal signals remained comparatively stable. Acetone and isoprene showed no consistent intervention-related changes, regardless of the sampling route. No reproducible increase in acetol was detected, although interpretation was limited by analytical interference. Conclusion: A controlled oral 1,2-PD challenge elicited a route-specific propanal and 1-propanol response, consistent with local microbial metabolism of 1,2-PD within the oral cavity. Both fucose and 1,2-PD have been previously reported in human saliva, including elevated concentrations in selected disease-associated contexts. Bacteria can degrade salivary mucin glycans, releasing sugars including fucose. Together, these observations motivate investigation of a proposed pathway linking mucin-derived fucose to 1,2-PD and subsequent propanal and 1-propanol formation in the human oral cavity.

biochemistry↗