Breath volatile metabolome reveals the impact of dietary fibres on the gut microbiota: Proof of concept in healthy volunteers

Audrey M Neyrinck, Julie Rodriguez, Zhengxiao Zhang, Julie-Anne Nazare, Laure B Bindels, Patrice D Cani, Véronique Maquet, Martine Laville, Stephan C Bischoff, Jens Walter, Nathalie M Delzenne, Audrey M Neyrinck, Julie Rodriguez, Zhengxiao Zhang, Julie-Anne Nazare, Laure B Bindels, Patrice D Cani, Véronique Maquet, Martine Laville, Stephan C Bischoff, Jens Walter, Nathalie M Delzenne

Abstract

Background: Current data suggest that dietary fibre (DF) interaction with the gut microbiota largely contributes to their physiological effects. The bacterial fermentation of DF leads to the production of metabolites, most of them are volatile. This study analyzed the breath volatile metabolites (BVM) profile in healthy individuals (n=15) prior and after a 3-week intervention with chitin-glucan (CG, 4.5 g/day), an insoluble fermentable DF.

Methods: The present exploratory study presents the original data related to the secondary outcomes, notably the analysis of BVM. BVM were analyzed throughout the test days -in fasting state and after standardized meals - using selected ion flow tube mass spectrometry (SIFT-MS). BVM production was correlated to the gut microbiota composition (Illumina sequencing, primary outcome), analyzed before and after the intervention.

Findings: The data reveal that the post-prandial state versus fasting state is a key determinant of BVM fingerprint. Correlation analyses with fecal microbiota spotlighted butyrate-producing bacteria, notably Faecalibacterium, as dominant bacteria involved in butyrate and other BVM expiration. CG intervention promotes interindividual variations of fasting BVM, and decreases or delays the expiration of most exhaled BVM in favor of H2 expiration, without any consequence on gastrointestinal tolerance.

Interpretation: Assessing BVM is a non-invasive methodology allowing to analyze the influence of DF intervention on the gut microbiota.

Funding: FiberTAG project was initiated from a European Joint Programming Initiative "A Healthy Diet for a Healthy Life" (JPI HDHL) and was supported by the Service Public de Wallonie (SPW-EER, convention 1610365, Belgium).

Keywords: Breath volatile metabolome; Chitin-glucan; Fermentation; Fibre; Gut microbiota; Short-chain fatty acids.

Conflict of interest statement

P.D.C. is cofounder of A-Mansia Biotech SA and owner of patents on Akkermansia muciniphila, gut microbes and metabolic diseases. The other authors declare no conflict of interest.

Copyright © 2022 The Author(s). Published by Elsevier B.V. All rights reserved.

Figures

Figure 1
Figure 1
Overview of the study design during the test days.
Figure 2
Figure 2
Hydrogen exhaled in the breath of healthy subjects (n=15) in response to a standardized breakfast intake prior (day 0) and after (day 21) chitin-glucan intake. Data present absolute values (a) and changes from baseline (b). Data are medians ± interquartile ranges (*p < 0.05; matched-pairs Wilcoxon signed-rank test).
Figure 3
Figure 3
Targeted BVM concentrations (changes from baseline) exhaled in breath of healthy subjects (n=15) in response to a standardized breakfast intake prior (day 0) and after (day 21) chitin-glucan intake (and significantly affected by the chitin-glucan intake during 3 weeks). Data are medians ± interquartile ranges (*p < 0.05; matched-pairs Wilcoxon signed-rank test on net area under the curve).
Figure 4
Figure 4
Correlation analysis between breath volatile metabolites (ppm, exhaled at time 8h) and gut microbiota composition of 15 healthy subjects (n=15) prior chitin-glucan intervention (day 0). Barplots of relative abundance of genus levels accounting for more than 1% for each subject (a). Heatmap of correlations between genera accounting for more than 1% for each subject and BVM (at time 8h, in ppm, corrected by the baseline value at fasted state) (b). The presence of a circle indicates that the correlation is significant, p < 0.05 (Spearman's correlation test).

References

    1. Zhang C., Zhang M., Wang S., et al. Interactions between gut microbiota, host genetics and diet relevant to development of metabolic syndromes in mice. ISME J. 2010;4(2):232–241.
    1. Rothschild D., Weissbrod O., Barkan E., et al. Environment dominates over host genetics in shaping human gut microbiota. Nature. 2018;555(7695):210–215.
    1. Klingbeil E., de La, Serre C.B. Microbiota modulation by eating patterns and diet composition: impact on food intake. Am J Physiol Regul Integr Comp Physiol. 2018;315(6):R1254–R1R60.
    1. Bar N., Korem T., Weissbrod O., et al. A reference map of potential determinants for the human serum metabolome. Nature. 2020;588(7836):135–140.
    1. Rieder F., Kurada S., Grove D., et al. A distinct colon-derived breath metabolome is associated with inflammatory bowel disease, but not its complications. Clin Transl Gastroenterol. 2016;7(11):e201.
    1. Rondanelli M., Perdoni F., Infantino V., et al. Volatile organic compounds as biomarkers of gastrointestinal diseases and nutritional status. J Anal Methods Chem. 2019;2019
    1. de Lacy Costello B., Amann A., Al-Kateb H., et al. A review of the volatiles from the healthy human body. J Breath Res. 2014;8(1)
    1. Ajibola O.A., Smith D., Spanel P., Ferns G.A. Effects of dietary nutrients on volatile breath metabolites. J Nutr Sci. 2013;2:e34.
    1. Neyrinck A.M., Rodriguez J., Zhang Z., et al. Noninvasive monitoring of fibre fermentation in healthy volunteers by analyzing breath volatile metabolites: lessons from the FiberTAG intervention study. Gut Microbes. 2021;13(1):1–16.
    1. Delzenne N.M., Olivares M., Neyrinck A.M., et al. Nutritional interest of dietary fiber and prebiotics in obesity: lessons from the MyNewGut consortium. Clin Nutr. 2020;39(2):414–424.
    1. Delzenne N.M., Neyrinck A.M., Cani P.D. Modulation of the gut microbiota by nutrients with prebiotic properties: consequences for host health in the context of obesity and metabolic syndrome. Microb Cell Factories. 2011;10(Suppl 1):S10.
    1. Delzenne N.M., Neyrinck A.M., Backhed F., Cani P.D. Targeting gut microbiota in obesity: effects of prebiotics and probiotics. Nat Rev Endocrinol. 2011;7(11):639–646.
    1. Lordan C., Thapa D., Ross R.P., Cotter P.D. Potential for enriching next-generation health-promoting gut bacteria through prebiotics and other dietary components. Gut Microbes. 2020;11(1):1–20.
    1. Holscher H.D. Dietary fiber and prebiotics and the gastrointestinal microbiota. Gut Microbes. 2017;8(2):172–184.
    1. Stephen A.M., Champ M.M., Cloran S.J., et al. Dietary fibre in Europe: current state of knowledge on definitions, sources, recommendations, intakes and relationships to health. Nutr Res Rev. 2017;30(2):149–190.
    1. Neyrinck A.M., Rodriguez J., Vinoy S., et al. The FiberTAG project: tagging dietary fibre intake by measuring biomarkers related to the gut microbiota and their interest for health. Nutr Bull. 2020;45(1):59–65.
    1. EFSA Panel on Dietetic Products NaAN Scientific opinion on the safety of ‘Chitin-glucan’ as a novel food ingredient. EFSA J. 2010;8:1687.
    1. Rodriguez J., Neyrinck A.M., Zhang Z., et al. Metabolite profiling reveals the interaction of chitin-glucan with the gut microbiota. Gut Microbes. 2020;12(1)
    1. Wilms E., An R., Smolinska A., et al. Galacto-oligosaccharides supplementation in prefrail older and healthy adults increased faecal bifidobacteria, but did not impact immune function and oxidative stress. Clin Nutr. 2021;40(5):3019–3031.
    1. Hageman J.H.J., Nieuwenhuizen A.G., van Ruth S.M., Hageman J.A., Keijer J. Application of volatile organic compound analysis in a nutritional intervention study: differential responses during five hours following consumption of a high- and a low-fat dairy drink. Mol Nutr Food Res. 2019;63(20)
    1. Raninen K.J., Lappi J.E., Mukkala M.L., et al. Fiber content of diet affects exhaled breath volatiles in fasting and postprandial state in a pilot crossover study. Nutr Res. 2016;36(6):612–619.
    1. Filzmoser P., Walczak B. What can go wrong at the data normalization step for identification of biomarkers? J Chromatogr A. 2014;1362:194–205.
    1. Noonan M.J., Tinnesand H.V., Buesching C.D. Normalizing gas-chromatography-mass spectrometry data: method choice can alter biological inference. BioEssays. 2018;40(6)
    1. Van Malderen K., De Winter B.Y., De Man J.G., De Schepper H.U., Lamote K. Volatomics in inflammatory bowel disease and irritable bowel syndrome. EBioMedicine. 2020;54
    1. Bruderer T., Gaisl T., Gaugg M.T., et al. On-line analysis of exhaled breath focus review. Chem Rev. 2019;119(19):10803–10828.
    1. Dryahina K., Spanel P., Pospisilova V., et al. Quantification of pentane in exhaled breath, a potential biomarker of bowel disease, using selected ion flow tube mass spectrometry. Rapid Commun Mass Spectrom. 2013;27(17):1983–1992.
    1. Stefanuto P.H., Zanella D., Vercammen J., et al. Multimodal combination of GC x GC-HRTOFMS and SIFT-MS for asthma phenotyping using exhaled breath. Sci Rep. 2020;10(1):16159.
    1. Kistler M., Szymczak W., Fedrigo M., et al. Effects of diet-matrix on volatile organic compounds in breath in diet-induced obese mice. J Breath Res. 2014;8(1)
    1. Baranska A., Tigchelaar E., Smolinska A., et al. Profile of volatile organic compounds in exhaled breath changes as a result of gluten-free diet. J Breath Res. 2013;7(3)
    1. Barros R., Moreira A., Fonseca J., et al. Dietary intake of alpha-linolenic acid and low ratio of n-6:n-3 PUFA are associated with decreased exhaled NO and improved asthma control. Br J Nutr. 2011;106(3):441–450.
    1. Nasar-Abbas S.M., Z E.H., Vu T.H., Khan M.K., Esbenshade H., Jayasena V. Carob kibble: a bioactive-rich food ingredient. Compr Rev Food Sci Food Saf. 2016;15(1):63–72.
    1. Nordlund E., Aura A.M., Mattila I., Kosso T., Rouau X., Poutanen K. Formation of phenolic microbial metabolites and short-chain fatty acids from rye, wheat, and oat bran and their fractions in the metabolical in vitro colon model. J Agric Food Chem. 2012;60(33):8134–8145.
    1. Eswaran S., Muir J., Chey W.D. Fiber and functional gastrointestinal disorders. Am J Gastroenterol. 2013;108(5):718–727.
    1. Salaspuro M.P. Acetaldehyde, microbes, and cancer of the digestive tract. Crit Rev Clin Lab Sci. 2003;40(2):183–208.
    1. Turner C., Parekh B., Walton C., Spanel P., Smith D., Evans M. An exploratory comparative study of volatile compounds in exhaled breath and emitted by skin using selected ion flow tube mass spectrometry. Rapid Commun Mass Spectrom. 2008;22(4):526–532.
    1. Louis P., Flint H.J. Diversity, metabolism and microbial ecology of butyrate-producing bacteria from the human large intestine. FEMS Microbiol Lett. 2009;294(1):1–8.
    1. Zhu X., Tao Y., Liang C., et al. The synthesis of n-caproate from lactate: a new efficient process for medium-chain carboxylates production. Sci Rep. 2015;5:14360.
    1. Lee J., Ngo J., Blake D., et al. Improved predictive models for plasma glucose estimation from multi-linear regression analysis of exhaled volatile organic compounds. J Appl Physiol (1985) 2009;107(1):155–160.
    1. Zalan Z., Hudacek J., Toth-Markus M., et al. Sensorically and antimicrobially active metabolite production of Lactobacillus strains on Jerusalem artichoke juice. J Sci Food Agric. 2011;91(4):672–679.
    1. Bao T., Feng J., Jiang W., Fu H., Wang J., Yang S.T. Recent advances in n-butanol and butyrate production using engineered Clostridium tyrobutyricum. World J Microbiol Biotechnol. 2020;36(9):138.
    1. Gelmont D., Stein R.A., Mead J.F. The bacterial origin of rat breath pentane. Biochem Biophys Res Commun. 1981;102(3):932–936.
    1. Smith N.W., Shorten P.R., Altermann E.H., Roy N.C., McNabb W.C. Hydrogen cross-feeders of the human gastrointestinal tract. Gut Microbes. 2019;10(3):270–288.
    1. Sandberg J.C., Bjorck I.M.E., Nilsson A.C. Effects of whole grain rye, with and without resistant starch type 2 supplementation, on glucose tolerance, gut hormones, inflammation and appetite regulation in an 11-14.5 hour perspective; a randomized controlled study in healthy subjects. Nutr J. 2017;16(1):25.
    1. Wolf P.G., Biswas A., Morales S.E., Greening C., Gaskins H.R. H2 metabolism is widespread and diverse among human colonic microbes. Gut Microbes. 2016;7(3):235–245.
    1. De Vuyst L., Leroy F. Cross-feeding between bifidobacteria and butyrate-producing colon bacteria explains bifdobacterial competitiveness, butyrate production, and gas production. Int J Food Microbiol. 2011;149(1):73–80.
    1. Duncan S.H., Barcenilla A., Stewart C.S., Pryde S.E., Flint H.J. Acetate utilization and butyryl coenzyme A (CoA):acetate-CoA transferase in butyrate-producing bacteria from the human large intestine. Appl Environ Microbiol. 2002;68(10):5186–5190.
    1. Hiel S., Bindels L.B., Pachikian B.D., et al. Effects of a diet based on inulin-rich vegetables on gut health and nutritional behavior in healthy humans. Am J Clin Nutr. 2019;109(6):1683–1695.
    1. Dryahina K., Smith D., Bortlik M., Machkova N., Lukas M., Spanel P. Pentane and other volatile organic compounds, including carboxylic acids, in the exhaled breath of patients with Crohn's disease and ulcerative colitis. J Breath Res. 2017;12(1)
    1. Alkhouri N., Cikach F., Eng K., et al. Analysis of breath volatile organic compounds as a noninvasive tool to diagnose nonalcoholic fatty liver disease in children. Eur J Gastroenterol Hepatol. 2014;26(1):82–87.
    1. Lichtenstein M., Turjerman S., Pinto J.M., Barash O., Koren O. Pathophysiology of SARS-CoV-2 infection in the upper respiratory tract and its relation to breath volatile organic compounds. mSystems. 2021

Source: PubMed

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