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Neonatal gut microbiota associates with childhood multisensitized atopy and T cell differentiation
Open accessAbstract
Gut microbiota bacterial depletions and altered metabolic activity at 3 months are implicated in childhood atopy and asthma. We hypothesized that compositionally distinct human neonatal gut microbiota (NGM) exist, and are differentially related to relative risk (RR) of childhood atopy and asthma. Using stool samples (n = 298; aged 1–11 months) from a US birth cohort and 16S rRNA sequencing, neonates (median age, 35 d) were divisible into three microbiota composition states (NGM1–3). Each incurred a substantially different RR for multisensitized atopy at age 2 years and doctor-diagnosed asthma at age 4 years. The highest risk group, labeled NGM3, showed lower relative abundance of certain bacteria (for example, Bifidobacterium, Akkermansia and Faecalibacterium), higher relative abundance of particular fungi (Candida and Rhodotorula) and a distinct fecal metabolome enriched for pro-inflammatory metabolites. Ex vivo culture of human adult peripheral T cells with sterile fecal water from NGM3 subjects increased the proportion of CD4+ cells producing interleukin (IL)-4 and reduced the relative abundance of CD4+CD25+FOXP3+ cells. 12,13-DiHOME, enriched in NGM3 versus lower-risk NGM states, recapitulated the effect of NGM3 fecal water on relative CD4+CD25+FOXP3+ cell abundance. These findings suggest that neonatal gut microbiome dysbiosis might promote CD4+ T cell dysfunction associated with childhood atopy.
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889
FLASH: fast length adjustment of short reads to improve genome assemblies
Magoč, T., & Salzberg, S. L. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr507 · Cited by 15,366
FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments
Price, M. N., Dehal, P. S., & Arkin, A. P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009490 · Cited by 14,894
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
Langille, M. G. I., Zaneveld, J., Caporaso, J. G., McDonald, D., Knights, D., Reyes, J. A., Clemente, J. C., Burkepile, D. E., Vega Thurber, R. L., Knight, R., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2676 · Cited by 9,116
UniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227
Archaea and fungi of the human gut microbiome: correlations with diet and bacterial residents
Hoffmann, C., Dollive, S., Grunberg, S., Chen, J., Li, H., Wu, G. D., Lewis, J. D., & Bushman, F. D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066019 · Cited by 808
Beyond Atopy: Multiple Patterns of Sensitization in Relation to Asthma in a Birth Cohort Study
Simpson, A., Tan, V. Y. F., Winn, J., Svensén, M., Bishop, C. M., Heckerman, D. E., Buchan, I., & Custovic, A. (2010) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200907-1101oc · Cited by 415
Cited by
The Human Intestinal Microbiome in Health and Disease
Lynch, S. V., & Pedersen, O. (2016) · New England Journal of Medicine · doi:10.1056/nejmra1600266 · Cited by 3,637
Self-citationCurrent understanding of the human microbiome
Gilbert, J. A., Blaser, M. J., Caporaso, J. G., Jansson, J. K., Lynch, S. V., & Knight, R. (2018) · Nature Medicine · doi:10.1038/nm.4517 · Cited by 2,609
Self-citationMilani, C., Duranti, S., Bottacini, F., Casey, E., Turroni, F., Mahony, J., Belzer, C., Delgado Palacio, S., Arboleya Montes, S., Mancabelli, L., et al. (2017) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00036-17 · Cited by 1,950
Stunted microbiota and opportunistic pathogen colonization in caesarean-section birth
Shao, Y., Forster, S. C., Tsaliki, E., Vervier, K., Strang, A., Simpson, N., Kumar, N., Stares, M. D., Rodger, A., Brocklehurst, P., et al. (2019) · Nature · doi:10.1038/s41586-019-1560-1 · Cited by 1,088
Microbes, Metabolites, and the Gut-Lung Axis
Dang, A. T., & Marsland, B. J. (2019) · Mucosal Immunology · doi:10.1038/s41385-019-0160-6 · Cited by 1,028
The Human Gut Microbiome: From Association to Modulation
Schmidt, T. S. B., Raes, J., & Bork, P. (2018) · Cell · doi:10.1016/j.cell.2018.02.044 · Cited by 845
Maturation of the gut microbiome and risk of asthma in childhood
Stokholm, J., Blaser, M. J., Thorsen, J., Rasmussen, M. A., Waage, J., Vinding, R. K., Schoos, A.-M. M., Kunøe, A., Fink, N. R., Chawes, B. L., et al. (2018) · Nature Communications · doi:10.1038/s41467-017-02573-2 · Cited by 614
Development of the gut microbiota in infancy and its impact on health in later life
Tanaka, M., & Nakayama, J. (2017) · Allergology International · doi:10.1016/j.alit.2017.07.010 · Cited by 639
International Consensus Statement on Allergy and Rhinology: Allergic Rhinitis
Wise, S. K., Lin, S. Y., Toskala, E., Orlandi, R. R., Akdis, C. A., Alt, J. A., Azar, A., Baroody, F. M., Bachert, C., Canonica, G. W., et al. (2018) · International Forum of Allergy & Rhinology · doi:10.1002/alr.22073 · Cited by 557
The microbiome in patients with atopic dermatitis
Paller, A. S., Kong, H. H., Seed, P., Naik, S., Scharschmidt, T. C., Gallo, R. L., Luger, T., & Irvine, A. D. (2019) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2018.11.015 · Cited by 525
Mother’s Milk: A purposeful contribution to the development of the infant microbiota and immunity
Le Doare, K., Holder, B., Bassett, A., & Pannaraj, P. S. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00361 · Cited by 475
Next-generation sequencing: insights to advance clinical investigations of the microbiome
Wensel, C. R., Pluznick, J. L., Salzberg, S. L., & Sears, C. L. (2022) · Journal of Clinical Investigation · doi:10.1172/jci154944 · Cited by 437
Dysbiosis of maternal and neonatal microbiota associated with gestational diabetes mellitus
Wang, J., Zheng, J., Shi, W., Du, N., Xu, X., Zhang, Y., Ji, P., Zhang, F., Jia, Z., Wang, Y., et al. (2018) · Gut · doi:10.1136/gutjnl-2018-315988 · Cited by 452
Commensal Fungi in Health and Disease
Limon, J. J., Skalski, J. H., & Underhill, D. M. (2017) · Cell Host & Microbe · doi:10.1016/j.chom.2017.07.002 · Cited by 336
Huang, Y. J., Marsland, B. J., Bunyavanich, S., O'Mahony, L., Leung, D. Y. M., Muraro, A., & Fleisher, T. A. (2017) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2017.02.007 · Cited by 330
Microbiome in the gut-skin axis in atopic dermatitis
Lee, S.-Y., Lee, E., Park, Y. M., & Hong, S.-J. (2018) · Allergy, Asthma & Immunology Research · doi:10.4168/aair.2018.10.4.354 · Cited by 326
Galazzo, G., van Best, N., Bervoets, L., Dapaah, I. O., Savelkoul, P. H., Hornef, M. W., Hutton, E. K., Morrison, K., Holloway, A. C., McDonald, H., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.01.024 · Cited by 308
Environmental determinants of allergy and asthma in early life
Burbank, A. J., Sood, A. K., Kesic, M. J., Peden, D. B., & Hernandez, M. L. (2017) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2017.05.010 · Cited by 299
Brown, R. G., Marchesi, J. R., Lee, Y. S., Smith, A., Lehne, B., Kindinger, L. M., Terzidou, V., Holmes, E., Nicholson, J. K., Bennett, P. R., et al. (2018) · BMC Medicine · doi:10.1186/s12916-017-0999-x · Cited by 295
Smoking and microbiome in oral, airway, gut and some systemic diseases
Huang, C., & Shi, G. (2019) · Journal of Translational Medicine · doi:10.1186/s12967-019-1971-7 · Cited by 288
Unique aspects of the perinatal immune system
Zhang, X., Zhivaki, D., & Lo-Man, R. (2017) · Nature Reviews Immunology · doi:10.1038/nri.2017.54 · Cited by 276
Cross talk: the microbiota and neurodevelopmental disorders
Kelly, J. R., Minuto, C., Cryan, J. F., Clarke, G., & Dinan, T. G. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00490 · Cited by 271
Factors affecting early-life intestinal microbiota development
Vandenplas, Y., Carnielli, V. P., Ksiazyk, J., Luna, M. S., Migacheva, N., Mosselmans, J. M., Picaud, J. C., Possner, M., Singhal, A., & Wabitsch, M. (2020) · Nutrition · doi:10.1016/j.nut.2020.110812 · Cited by 247
Gut Mycobiota in Immunity and Inflammatory Disease
Li, X. V., Leonardi, I., & Iliev, I. D. (2019) · Immunity · doi:10.1016/j.immuni.2019.05.023 · Cited by 246
Contributions of the intestinal microbiome in lung immunity
McAleer, J. P., & Kolls, J. K. (2018) · European Journal of Immunology · doi:10.1002/eji.201646721 · Cited by 243
Intestinal microbiota in early life and its implications on childhood health
Zhuang, L., Chen, H., Zhang, S., Zhuang, J., Li, Q., & Feng, Z. (2019) · Genomics, Proteomics & Bioinformatics · doi:10.1016/j.gpb.2018.10.002 · Cited by 219
The promise of the gut microbiome as part of individualized treatment strategies
Schupack, D. A., Mars, R. A. T., Voelker, D. H., Abeykoon, J. P., & Kashyap, P. C. (2022) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-021-00499-1 · Cited by 217
Sbihi, H., Boutin, R. C., Cutler, C., Suen, M., Finlay, B. B., & Turvey, S. E. (2019) · Allergy · doi:10.1111/all.13812 · Cited by 199
Sharpton, S. R., Schnabl, B., Knight, R., & Loomba, R. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2020.11.010 · Cited by 194
“It has been demonstrated in multiple studies that the gut microbiota influence neutrophil migration and function, as well as promote the differentiation of T cell populations into various types of helper T cells and regulatory T cells (Fujimura et al., 2016; Owaga et al., 2015; Xu et al., 2018).”
BackgroundKim, H., Sitarik, A. R., Woodcroft, K., Johnson, C. C., & Zoratti, E. (2019) · Current Allergy and Asthma Reports · doi:10.1007/s11882-019-0851-9 · Cited by 181
Self-citationGomez-Arango, L. F., Barrett, H. L., McIntyre, H. D., Callaway, L. K., Morrison, M., & Nitert, M. D. (2017) · Scientific Reports · doi:10.1038/s41598-017-03066-4 · Cited by 168
Demirci, M., Tokman, H. B., Uysal, H. K., Demiryas, S., Karakullukcu, A., Saribas, S., Cokugras, H., & Kocazeybek, B. S. (2019) · Allergologia et Immunopathologia · doi:10.1016/j.aller.2018.12.009 · Cited by 150
Integrative Analysis of the Intestinal Metabolome of Childhood Asthma
Lee-Sarwar, K. A., Kelly, R. S., Lasky-Su, J., Zeiger, R. S., O'Connor, G. T., Sandel, M. T., Bacharier, L. B., Beigelman, A., Laranjo, N., Gold, D. R., et al. (2019) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2019.02.032 · Cited by 99
Possible role of gut microbes and host's immune response in gut-lung homeostasis
Rastogi, S., Mohanty, S., Sharma, S., & Tripathi, P. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.954339 · Cited by 94
The connection between microbiome and schizophrenia
Golofast, B., & Vales, K. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.12.011 · Cited by 92
Valverde-Molina, J., & García-Marcos, L. (2023) · Nutrients · doi:10.3390/nu15030486 · Cited by 92
Vasan, S. K., Noordam, R., Gowri, M. S., Neville, M. J., Karpe, F., & Christodoulides, C. (2019) · Diabetologia · doi:10.1007/s00125-019-4947-5 · Cited by 76
One population, multiple lifestyles: Commensalism and pathogenesis in the human mycobiome
Proctor, D. M., Drummond, R. A., Lionakis, M. S., & Segre, J. A. (2023) · Cell Host & Microbe · doi:10.1016/j.chom.2023.02.010 · Cited by 68
Asthma in the Precision Medicine Era: Biologics and Probiotics
Chiu, C.-J., & Huang, M.-T. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094528 · Cited by 60
Childhood Asthma Inception and Progression
Martinez, F. D. (2019) · Immunology and Allergy Clinics of North America · doi:10.1016/j.iac.2018.12.001 · Cited by 59
The environmental microbiome, allergic disease, and asthma
Kelly, M. S., Bunyavanich, S., Phipatanakul, W., & Lai, P. S. (2022) · The Journal of Allergy and Clinical Immunology: In Practice · doi:10.1016/j.jaip.2022.06.006 · Cited by 47
The intersect of genetics, environment, and microbiota in asthma-perspectives and challenges
Tang, H. H. F., Teo, S. M., Sly, P. D., Holt, P. G., & Inouye, M. (2021) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2020.08.026 · Cited by 43
Ioannou, A., Knol, J., & Belzer, C. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.631282 · Cited by 44
Savino, F., Montanari, P., Galliano, I., Daprà, V., & Bergallo, M. (2020) · Nutrients · doi:10.3390/nu12061693 · Cited by 41
Huang, Z., Li, Y., Park, H., Ho, M., Bhardwaj, K., Sugimura, N., Lee, H. W., Meng, H., Ebert, M. P., Chao, K., et al. (2023) · Gut Microbes · doi:10.1080/19490976.2023.2237645 · Cited by 41
Lunjani, N., Ambikan, A. T., Hlela, C., Levin, M., Mankahla, A., Heldstab‐Kast, J. I., Boonpiyathad, T., Tan, G., Altunbulakli, C., Gray, C., et al. (2024) · Allergy · doi:10.1111/all.15832 · Cited by 25
Dimension reduction of microbiome data linked Bifidobacterium and Prevotella to allergic rhinitis
Komaki, S., Sahoyama, Y., Hachiya, T., Koseki, K., Ogata, Y., Hamazato, F., Shiozawa, M., Nakagawa, T., Suda, W., Hattori, M., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-57934-x · Cited by 13
Metadata
- Authors
- Fujimura, K. E., Sitarik, A. R., Havstad, S., Lin, D. L., Levan, S., Fadrosh, D., Panzer, A. R., LaMere, B., Rackaityte, E., Lukacs, N. W., Wegienka, G., Boushey, H. A., Ownby, D. R., Zoratti, E. M., Levin, A. M., Johnson, C. C., & Lynch, S. V.
- Venue
- Nature Medicine
- Published
- 2016-09-12
- Volume
- 22
- Issue
- 10
- Pages
- 1187-1191
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W2521042841
- Cited by
- 1,159
- References
- 10
- FWCI
- 41.68
- Type
- journal article
- Language
- en
- Open access
- green
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