Maturation of the gut microbiome during the first year of life contributes to the protective farm effect on childhood asthma.


Journal

Nature medicine
ISSN: 1546-170X
Titre abrégé: Nat Med
Pays: United States
ID NLM: 9502015

Informations de publication

Date de publication:
11 2020
Historique:
received: 28 09 2019
accepted: 08 09 2020
pubmed: 4 11 2020
medline: 9 1 2021
entrez: 3 11 2020
Statut: ppublish

Résumé

Growing up on a farm is associated with an asthma-protective effect, but the mechanisms underlying this effect are largely unknown. In the Protection against Allergy: Study in Rural Environments (PASTURE) birth cohort, we modeled maturation using 16S rRNA sequence data of the human gut microbiome in infants from 2 to 12 months of age. The estimated microbiome age (EMA) in 12-month-old infants was associated with previous farm exposure (β = 0.27 (0.12-0.43), P = 0.001, n = 618) and reduced risk of asthma at school age (odds ratio (OR) = 0.72 (0.56-0.93), P = 0.011). EMA mediated the protective farm effect by 19%. In a nested case-control sample (n = 138), we found inverse associations of asthma with the measured level of fecal butyrate (OR = 0.28 (0.09-0.91), P = 0.034), bacterial taxa that predict butyrate production (OR = 0.38 (0.17-0.84), P = 0.017) and the relative abundance of the gene encoding butyryl-coenzyme A (CoA):acetate-CoA-transferase, a major enzyme in butyrate metabolism (OR = 0.43 (0.19-0.97), P = 0.042). The gut microbiome may contribute to asthma protection through metabolites, supporting the concept of a gut-lung axis in humans.

Identifiants

pubmed: 33139948
doi: 10.1038/s41591-020-1095-x
pii: 10.1038/s41591-020-1095-x
doi:

Substances chimiques

Butyrates 0
RNA, Ribosomal, 16S 0
Coenzyme A-Transferases EC 2.8.3.-
butyryl-CoA acetoacetate CoA transferase EC 2.8.3.-

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1766-1775

Investigateurs

Jon Genuneit (J)
Anne Hyvärinen (A)
Sabina Illi (S)
Lucie Laurent (L)
Petra I Pfefferle (PI)
Bianca Schaub (B)
Erika von Mutius (E)

Références

Barker, D. J. The fetal and infant origins of adult disease. BMJ301, 1111 (1990).
pubmed: 2252919 pmcid: 1664286
Tamburini, S., Shen, N., Wu, H. C. & Clemente, J. C. The microbiome in early life: implications for health outcomes. Nat. Med.22, 713–722 (2016).
pubmed: 27387886
de Steenhuijsen Piters, W. A. et al. Nasopharyngeal microbiota, host transcriptome, and disease severity in children with respiratory syncytial virus infection. Am. J. Respir. Crit. Care Med.194, 1104–1115 (2016).
pubmed: 27135599 pmcid: 5114450
Chung, H. et al. Gut immune maturation depends on colonization with a host-specific microbiota. Cell149, 1578–1593 (2012).
pubmed: 22726443 pmcid: 3442780
Ege, M. J. The hygiene hypothesis in the age of the microbiome. Ann. Am. Thorac. Soc.14, S348–S353 (2017).
pubmed: 29161087
Ege, M. J. et al. Exposure to environmental microorganisms and childhood asthma. N. Engl. J. Med.364, 701–709 (2011).
pubmed: 21345099
Stein, M. M. et al. Innate immunity and asthma risk in Amish and Hutterite farm children. N. Engl. J. Med.375, 411–421 (2016).
pubmed: 27518660 pmcid: 5137793
Illi, S. et al. Protection from childhood asthma and allergy in Alpine farm environments—the GABRIEL Advanced Studies. J. Allergy Clin. Immunol. 129, 1470–1477 (2012).
Birzele, L. T. et al. Environmental and mucosal microbiota and their role in childhood asthma. Allergy72, 109–119 (2017).
pubmed: 27503830
Depner, M. et al. Bacterial microbiota of the upper respiratory tract and childhood asthma. J. Allergy Clin. Immunol. 139, 826–834 (2017).
Trompette, A. et al. Gut microbiota metabolism of dietary fiber influences allergic airway disease and hematopoiesis. Nat. Med.20, 159–166 (2014).
pubmed: 24390308
Stewart, C. J. et al. Temporal development of the gut microbiome in early childhood from the TEDDY study. Nature562, 583–588 (2018).
pubmed: 30356187 pmcid: 6415775
Yassour, M. et al. Natural history of the infant gut microbiome and impact of antibiotic treatment on bacterial strain diversity and stability. Sci. Transl. Med.8, 343ra381 (2016).
Depner, M. et al. Clinical and epidemiologic phenotypes of childhood asthma. Am. J. Respir. Crit. Care Med.189, 129–138 (2014).
pubmed: 24283801
Kumbhare, S. V., Patangia, D. V., Patil, R. H., Shouche, Y. S. & Patil, N. P. Factors influencing the gut microbiome in children: from infancy to childhood. J. Biosci.44, 49 (2019).
pubmed: 31180062
Backhed, F. et al. Dynamics and stabilization of the human gut microbiome during the first year of life. Cell Host Microbe17, 690–703 (2015).
pubmed: 25974306
Bokulich, N. A. et al. Antibiotics, birth mode, and diet shape microbiome maturation during early life. Sci. Transl. Med.8, 343ra382 (2016).
Borewicz, K. et al. The effect of prebiotic fortified infant formulas on microbiota composition and dynamics in early life. Sci. Rep.9, 2434 (2019).
pubmed: 30792412 pmcid: 6385197
Abrahamsson, T. R. et al. Low gut microbiota diversity in early infancy precedes asthma at school age. Clin. Exp. Allergy44, 842–850 (2014).
pubmed: 24330256
Arrieta, M. C. et al. Early infancy microbial and metabolic alterations affect risk of childhood asthma. Sci. Transl. Med.7, 307ra152 (2015).
pubmed: 26424567
Fujimura, K. E. et al. Neonatal gut microbiota associates with childhood multisensitized atopy and T cell differentiation. Nat. Med.22, 1187–1191 (2016).
pubmed: 27618652 pmcid: 5053876
Galazzo, G. et al. Development of the microbiota and associations with birth mode, diet, and atopic disorders in a longitudinal analysis of stool samples, collected from infancy through early childhood. Gastroenterology158, 1584–1596 (2020).
pubmed: 31958431
Ege, M. J. et al. Environmental bacteria and childhood asthma. Allergy67, 1565–1571 (2012).
pubmed: 22994424
Gardiner, B. J. et al. Clinical and microbiological characteristics of Eggerthella lenta bacteremia. J. Clin. Microbiol.53, 626–635 (2015).
pubmed: 25520446 pmcid: 4298500
Wang, Q. et al. A metagenome-wide association study of gut microbiota in asthma in UK adults. BMC Microbiol.18, 114 (2018).
pubmed: 30208875 pmcid: 6134768
Stiemsma, L. T. et al. Shifts in Lachnospira and Clostridium sp. in the 3-month stool microbiome are associated with preschool age asthma. Clin. Sci.130, 2199–2207 (2016).
Stokholm, J. et al. Maturation of the gut microbiome and risk of asthma in childhood. Nat. Commun.9, 141 (2018).
pubmed: 29321519 pmcid: 5762761
Simonyte Sjodin, K. et al. Temporal and long-term gut microbiota variation in allergic disease: a prospective study from infancy to school age. Allergy74, 176–185 (2019).
pubmed: 29786876
Yang, B. et al. A meta-analysis of the effects of probiotics and synbiotics in children with acute diarrhea. Medicine98, e16618 (2019).
pubmed: 31517810 pmcid: 6750275
Derrien, M., Alvarez, A. S. & de Vos, W. M. The gut microbiota in the first decade of life. Trends Microbiol.27, 997–1010 (2019).
pubmed: 31474424
Theiler, A. et al. Butyrate ameliorates allergic airway inflammation by limiting eosinophil trafficking and survival. J. Allergy Clin. Immunol.144, 764–776 (2019).
pubmed: 31082458
Roduit, C. et al. High levels of butyrate and propionate in early life are associated with protection against atopy. Allergy74, 799–809 (2019).
pubmed: 30390309
Louis, P., Young, P., Holtrop, G. & Flint, H. J. Diversity of human colonic butyrate-producing bacteria revealed by analysis of the butyryl–CoA:acetate CoA-transferase gene. Environ. Microbiol.12, 304–314 (2010).
pubmed: 19807780
Riviere, A., Selak, M., Lantin, D., Leroy, F. & De Vuyst, L. Bifidobacteria and butyrate-producing colon bacteria: importance and strategies for their stimulation in the human gut. Front. Microbiol.7, 979 (2016).
pubmed: 27446020 pmcid: 4923077
Reichardt, N. et al. Specific substrate-driven changes in human faecal microbiota composition contrast with functional redundancy in short-chain fatty acid production. ISME J.12, 610–622 (2018).
pubmed: 29192904
Reichardt, N. et al. Phylogenetic distribution of three pathways for propionate production within the human gut microbiota. ISME J.8, 1323–1335 (2014).
pubmed: 24553467 pmcid: 4030238
Tamanai-Shacoori, Z. et al. Roseburia spp.: a marker of health? Future Microbiol. 12, 157–170 (2017).
pubmed: 28139139
Frati, F. et al. The role of the microbiome in asthma: the gut–lung axis. Int. J. Mol. Sci.20, 123 (2018).
pmcid: 6337651
Marsland, B. J., Trompette, A. & Gollwitzer, E. S. The gut–lung axis in respiratory disease. Ann. Am. Thorac. Soc.12(Suppl. 2), S150–S156 (2015).
pubmed: 26595731
Singh, P. et al. Intestinal microbial communities associated with acute enteric infections and disease recovery. Microbiome3, 45 (2015).
pubmed: 26395244 pmcid: 4579588
Forbes, J. D. et al. A comparative study of the gut microbiota in immune-mediated inflammatory diseases—does a common dysbiosis exist? Microbiome6, 221 (2018).
pubmed: 30545401 pmcid: 6292067
Kemter, A. M. & Nagler, C. R. Influences on allergic mechanisms through gut, lung, and skin microbiome exposures. J. Clin. Invest.130, 1483–1492 (2019).
Arrieta, M. C. et al. Associations between infant fungal and bacterial dysbiosis and childhood atopic wheeze in a nonindustrialized setting. J. Allergy Clin. Immunol.142, 424–434 (2018).
pubmed: 29241587 pmcid: 6075469
Zhai, S. et al. Dietary butyrate suppresses inflammation through modulating gut microbiota in high-fat diet-fed mice. FEMS Microbiol. Lett.366, fnz153 (2019).
pubmed: 31295342
Kepert, I. et al. D-Tryptophan from probiotic bacteria influences the gut microbiome and allergic airway disease. J. Allergy Clin. Immunol.139, 1525–1535 (2017).
pubmed: 27670239
Cait, A. et al. Reduced genetic potential for butyrate fermentation in the gut microbiome of infants who develop allergic sensitization. J. Allergy Clin. Immunol.144, 1638–1647 (2019).
pubmed: 31279007
Bonaz, B., Bazin, T. & Pellissier, S. The vagus nerve at the interface of the microbiota–gut–brain axis. Front. Neurosci.12, 49 (2018).
pubmed: 29467611 pmcid: 5808284
Osadchiy, V., Martin, C. R. & Mayer, E. A. The gut–brain axis and the microbiome: mechanisms and clinical implications. Clin. Gastroenterol. Hepatol.17, 322–332 (2019).
pubmed: 30292888
Kabata, H. & Artis, D. Neuro-immune crosstalk and allergic inflammation. J. Clin. Invest.130, 1475–1482 (2019).
von Mutius, E., Schmid, S. & Group, P. S. The PASTURE project: EU support for the improvement of knowledge about risk factors and preventive factors for atopy in Europe. Allergy61, 407–413 (2006).
Loss, G. et al. Consumption of unprocessed cow’s milk protects infants from common respiratory infections. J. Allergy Clin. Immunol.135, 56–62 (2015).
pubmed: 25441645
Loss, G. J. et al. The early development of wheeze. Environmental determinants and genetic susceptibility at 17q21. Am. J. Respir. Crit. Care Med.193, 889–897 (2016).
pubmed: 26575599
Hose, A. J. et al. Latent class analysis reveals clinically relevant atopy phenotypes in 2 birth cohorts. J. Allergy Clin. Immunol.139, 1935–1945 (2017).
pubmed: 27771325
Fuchs, O. et al. Farming environments and childhood atopy, wheeze, lung function, and exhaled nitric oxide. J. Allergy Clin. Immunol.130, 382–388 (2012).
pubmed: 22748700
Roduit, C. et al. Increased food diversity in the first year of life is inversely associated with allergic diseases. J. Allergy Clin. Immunol.133, 1056–1064 (2014).
pubmed: 24508301
Depner, M. et al. Atopic sensitization in the first year of life. J. Allergy Clin. Immunol.131, 781–788 (2013).
pubmed: 23333112
Bokulich, N. A., Thorngate, J. H., Richardson, P. M. & Mills, D. A. Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate. Proc. Natl Acad. Sci. USA111, E139–E148 (2014).
pubmed: 24277822
Caporaso, J. G. et al. Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample. Proc. Natl Acad. Sci. USA108(Suppl. 1), 4516–4522 (2011).
pubmed: 20534432
Bokulich, N. A. & Mills, D. A. Improved selection of internal transcribed spacer-specific primers enables quantitative, ultra-high-throughput profiling of fungal communities. Appl. Environ. Microbiol.79, 2519–2526 (2013).
pubmed: 23377949 pmcid: 3623200
Caporaso, J. G. et al. QIIME allows analysis of high-throughput community sequencing data. Nat. Methods7, 335–336 (2010).
pubmed: 20383131 pmcid: 3156573
Callahan, B. J. et al. DADA2: high-resolution sample inference from Illumina amplicon data. Nat. Methods13, 581–583 (2016).
pubmed: 27214047 pmcid: 4927377
Bokulich, N. A. et al. Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin. Microbiome6, 90 (2018).
pubmed: 29773078 pmcid: 5956843
Pedregosa, F. et al. Scikit-learn: machine learning in Python. J. Mach. Learn. Res.12, 2825–2830 (2011).
McDonald, D. et al. An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea. ISME J.6, 610–618 (2012).
pubmed: 22134646
Abarenkov, K. et al. The UNITE database for molecular identification of fungi—recent updates and future perspectives. N. Phytol.186, 281–285 (2010).
Kormann, M. S. et al. G-protein-coupled receptor polymorphisms are associated with asthma in a large German population. Am. J. Respir. Crit. Care Med.171, 1358–1362 (2005).
pubmed: 15764725
Moffatt, M. F. et al. A large-scale, consortium-based genomewide association study of asthma. N. Engl. J. Med.363, 1211–1221 (2010).
pubmed: 20860503 pmcid: 4260321
Moffatt, M. F. et al. Genetic variants regulating ORMDL3 expression contribute to the risk of childhood asthma. Nature448, 470–473 (2007).
pubmed: 17611496
Torgerson, D. G. et al. Meta-analysis of genome-wide association studies of asthma in ethnically diverse North American populations. Nat. Genet.43, 887–892 (2011).
pubmed: 21804549 pmcid: 3445408
Bouzigon, E. et al. Effect of 17q21 variants and smoking exposure in early-onset asthma. N. Engl. J. Med.359, 1985–1994 (2008).
pubmed: 18923164
Caliskan, M. et al. Rhinovirus wheezing illness and genetic risk of childhood-onset asthma. N. Engl. J. Med. 368, 1398–1407 (2013).
pubmed: 23534543 pmcid: 3755952
Schedel, M. et al. Polymorphisms related to ORMDL3 are associated with asthma susceptibility, alterations in transcriptional regulation of ORMDL3, and changes in T
pubmed: 25930191
Dostal, A. et al. Effects of iron supplementation on dominant bacterial groups in the gut, faecal SCFA and gut inflammation: a randomised, placebo-controlled intervention trial in South African children. Br. J. Nutr.112, 547–556 (2014).
pubmed: 24916165
Pham, V. T., Lacroix, C., Braegger, C. P. & Chassard, C. Early colonization of functional groups of microbes in the infant gut. Environ. Microbiol.18, 2246–2258 (2016).
pubmed: 27059115
Ramirez-Farias, C. et al. Effect of inulin on the human gut microbiota: stimulation of Bifidobacterium adolescentis and Faecalibacterium prausnitzii. Br. J. Nutr.101, 541–550 (2009).
pubmed: 18590586
Muthén, L. K. & Muthén, B. O. Mplus User’s Guide 7th edn (Muthén & Muthén, 1998–2012).
Holmes, I., Harris, K. & Quince, C. Dirichlet multinomial mixtures: generative models for microbial metagenomics. PloS ONE7, e30126 (2012).
pubmed: 22319561 pmcid: 3272020
Breiman, L. Random forests. Mach. Learn.45, 5–32 (2001).
Aitchison, J. The statistical analysis of compositional data. J. Royal Stat. Soc. B44, 139–177 (1982).
Gloor, G. B., Macklaim, J. M., Pawlowsky-Glahn, V. & Egozcue, J. J. Microbiome datasets are compositional: and this is not optional. Front. Microbiol.8, 2224 (2017).
pubmed: 29187837 pmcid: 5695134
Friedman, J. & Alm, E. J. Inferring correlation networks from genomic survey data. PLoS Comput. Biol.8, e1002687 (2012).
pubmed: 23028285 pmcid: 3447976
Brandes, U. et al. On modularity clustering. IEEE Trans. Knowl. Data Eng.20, 172–188 (2008).
Langfelder, P. & Horvath, S. Eigengene networks for studying the relationships between co-expression modules. BMC Syst. Biol.1, 54 (2007).
pubmed: 18031580 pmcid: 2267703

Auteurs

Martin Depner (M)

Institute for Asthma and Allergy Prevention, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.

Diana Hazard Taft (DH)

Department of Food Science & Technology, University of California Davis, Davis, CA, USA.

Pirkka V Kirjavainen (PV)

Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland.
Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.

Karen M Kalanetra (KM)

Department of Food Science & Technology, University of California Davis, Davis, CA, USA.

Anne M Karvonen (AM)

Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland.

Stefanie Peschel (S)

Institute for Asthma and Allergy Prevention, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.

Elisabeth Schmausser-Hechfellner (E)

Institute for Asthma and Allergy Prevention, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.

Caroline Roduit (C)

Christine Kühne Center for Allergy Research and Education (CK-CARE), Davos, Switzerland.
Children's Hospital, University of Zürich, Zurich, Switzerland.
Children's Hospital of Eastern Switzerland, St. Gallen, Switzerland.

Remo Frei (R)

Christine Kühne Center for Allergy Research and Education (CK-CARE), Davos, Switzerland.
Swiss Institute of Allergy and Asthma Research (SIAF), University of Zürich, Davos, Switzerland.

Roger Lauener (R)

Christine Kühne Center for Allergy Research and Education (CK-CARE), Davos, Switzerland.
Children's Hospital of Eastern Switzerland, St. Gallen, Switzerland.
University of Zürich, Zurich, Switzerland.
School of Medicine, University of St. Gallen, St. Gallen, Switzerland.

Amandine Divaret-Chauveau (A)

Pediatric Allergy Department, Children's Hospital, University Hospital of Nancy, Vandoeuvre les Nancy, France.
EA 3450 DevAH, Faculty of Medicine, University of Lorraine, Vandoeuvre les Nancy, France.
Department of Respiratory Disease, UMR CNRS 6249 Chrono-environnement, University Hospital of Besançon, Besançon, France.

Jean-Charles Dalphin (JC)

Department of Respiratory Disease, UMR CNRS 6249 Chrono-environnement, University Hospital of Besançon, Besançon, France.

Josef Riedler (J)

Children's Hospital, Schwarzach, Austria.

Marjut Roponen (M)

Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland.

Michael Kabesch (M)

KUNO Children's University Hospital Regensburg, Department of Pediatric Pneumology and Allergy, Regensburg, Germany.

Harald Renz (H)

Department of Clinical Chemistry and Molecular Diagnostics, Philipps University of Marburg, Marburg, Germany.
German Center for Lung Research.

Juha Pekkanen (J)

Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland.
Department of Public Health, University of Helsinki, Helsinki, Finland.

Freda M Farquharson (FM)

The Rowett Institute, University of Aberdeen, Foresterhill, Aberdeen, UK.

Petra Louis (P)

The Rowett Institute, University of Aberdeen, Foresterhill, Aberdeen, UK.

David A Mills (DA)

Department of Food Science & Technology, University of California Davis, Davis, CA, USA.

Erika von Mutius (E)

Institute for Asthma and Allergy Prevention, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
German Center for Lung Research.
Dr. von Hauner Children's Hospital, Ludwig Maximilian University of Munich, Munich, Germany.

Markus J Ege (MJ)

German Center for Lung Research, . markus.ege@med.uni-muenchen.de.
Dr. von Hauner Children's Hospital, Ludwig Maximilian University of Munich, Munich, Germany. markus.ege@med.uni-muenchen.de.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH