The DOI matches its Crossref record, with a small difference in title or year; 120 of the 120 references it cites were found in a registry or an index.
The microbiome in allergic disease: Current understanding and future opportunities—2017 PRACTALL document of the American Academy of Allergy, Asthma & Immunology and the European Academy of Allergy and Clinical Immunology
Open accessAbstract
PRACTALL is a joint initiative of the American Academy of Allergy, Asthma & Immunology and the European Academy of Allergy and Clinical Immunology to provide shared evidence-based recommendations on cutting-edge topics in the field of allergy and immunology. PRACTALL 2017 is focused on what has been established regarding the role of the microbiome in patients with asthma, atopic dermatitis, and food allergy. This is complemented by outlining important knowledge gaps regarding its role in allergic disease and delineating strategies necessary to fill these gaps. In addition, a review of progress in approaches used to manipulate the microbiome will be addressed, identifying what has and has not worked to serve as a baseline for future directions to intervene in allergic disease development, progression, or both.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Oral probiotics may counteract UV damage [80] and relieve inflammatory dermatoses [81] by regulating immune-related signal pathways.”
From Boosting the Photoaged Skin: The Potential Role of Dietary Components (2021) · cites this paper as [81]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Host–microbe interactions have shaped the genetic architecture of inflammatory bowel disease
The International IBD Genetics Consortium (IIBDGC), Jostins, L., Ripke, S., Weersma, R. K., Duerr, R. H., McGovern, D. P., Hui, K. Y., Lee, J. C., Philip Schumm, L., Sharma, Y., et al. (2012) · Nature · doi:10.1038/nature11582 · Cited by 4,722
Duodenal Infusion of Donor Feces for Recurrent Clostridium difficile
van Nood, E., Vrieze, A., Nieuwdorp, M., Fuentes, S., Zoetendal, E. G., de Vos, W. M., Visser, C. E., Kuijper, E. J., Bartelsman, J. F. W. M., Tijssen, J. G. P., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1205037 · Cited by 3,708
Gut microbiota, metabolites and host immunity
Rooks, M. G., & Garrett, W. S. (2016) · Nature reviews. Immunology · doi:10.1038/nri.2016.42 · Cited by 3,409
Treg induction by a rationally selected mixture of Clostridia strains from the human microbiota
Atarashi, K., Tanoue, T., Oshima, K., Suda, W., Nagano, Y., Nishikawa, H., Fukuda, S., Saito, T., Narushima, S., Hase, K., et al. (2013) · Nature · doi:10.1038/nature12331 · Cited by 2,872
Gut Microbiota Metabolism of Dietary Fiber Influences Allergic Airway Disease and Hematopoiesis
Trompette, A., Gollwitzer, E. S., Yadava, K., Sichelstiel, A. K., Sprenger, N., Ngom-Bru, C., Blanchard, C., Junt, T., Nicod, L. P., Harris, N. L., et al. (2014) · Nature Medicine · doi:10.1038/nm.3444 · Cited by 2,862
Self-citationDiet–microbiota interactions as moderators of human metabolism
Sonnenburg, J. L., & Bäckhed, F. (2016) · Nature · doi:10.1038/nature18846 · Cited by 2,257
Cluster analysis and clinical asthma phenotypes
Haldar, P., Pavord, I. D., Shaw, D. E., Berry, M. A., Thomas, M., Brightling, C. E., Wardlaw, A. J., & Green, R. H. (2008) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200711-1754oc · Cited by 1,987
Disordered Microbial Communities in Asthmatic Airways
Hilty, M., Burke, C. M., Pedro, H., Cárdenas, P., Bush, A., Bossley, C. J., Davies, J. C., Ervine, A., Poulter, L. W., Pachter, L. S., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0008578 · Cited by 1,874
Early infancy microbial and metabolic alterations affect risk of childhood asthma
Arrieta, M., Stiemsma, L. T., Dimitriu, P. A., Thorson, L., Russell, S., Yurist‐Doutsch, S., Kuzeljevic, B., Gold, M. J., Britton, H. M., Lefebvre, D. L., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aab2271 · Cited by 1,832
Kong, H. H., Oh, J., Deming, C., Conlan, S., Grice, E. A., Beatson, M. A., Nomicos, E., Polley, E. C., Komarow, H. D., Program, N. C. S., et al. (2012) · Genome Research · doi:10.1101/gr.131029.111 · Cited by 1,808
Flagged first, then by citations
Cited by
Sorted by citations
Sicherer, S. H., & Sampson, H. A. (2017) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2017.11.003 · Cited by 1,702
The gut microbiome as a major regulator of the gut-skin axis
Salem, I., Ramser, A., Isham, N., & Ghannoum, M. A. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.01459 · Cited by 707
The Role of Lung and Gut Microbiota in the Pathology of Asthma
Barcik, W., Boutin, R. C. T., Sokołowska, M., & Finlay, B. B. (2020) · Immunity · doi:10.1016/j.immuni.2020.01.007 · Cited by 636
Role of viral infections in the development and exacerbation of asthma in children
Jartti, T. T., & Gern, J. E. (2017) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2017.08.003 · Cited by 494
Mahmud, M. R., Akter, S., Tamanna, S. K., Mazumder, L., Esti, I. Z., Banerjee, S., Akter, S., Hasan, M. R., Acharjee, M., Hossain, M. S., et al. (2022) · Gut Microbes · doi:10.1080/19490976.2022.2096995 · Cited by 513
Metadata
- Authors
- Huang, Y. J., Marsland, B. J., Bunyavanich, S., O'Mahony, L., Leung, D. Y. M., Muraro, A., & Fleisher, T. A.
- Affiliations
- University of Michigan (US)
- University of Lausanne (CH)
- Icahn School of Medicine at Mount Sinai (US)
- National Jewish Health (US)
- Azienda Ospedale - Università Padova (IT)
- National Institutes of Health (US)
- Corresponding author
- Fleisher, Thomas A.
- ORCID
- Venue
- Journal of Allergy and Clinical Immunology
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 139
- Issue
- 4
- Pages
- 1099-1110
- ISSN
- 0091-6749 (ISSN-L)
- PMC
- PMC5899886
- OpenAlex
- W2594112302
- Cited by
- 330
- References
- 120
- Citations by year
- 2026: 14 · 2025: 28 · 2024: 27 · 2023: 27 · 2022: 46 · 2021: 52 · 2020: 44 · 2019: 37 · 2018: 40 · 2017: 15
- FWCI
- 4.56
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Allergy and Clinical Immunology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- IRIS (submittedVersion)
- SERVAL (Université de Lausanne) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Funders
- National Heart, Lung, and Blood Institute (K23HL105572)
- National Institute of Allergy and Infectious Diseases (R01AI118833)
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Asthma and respiratory diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Dermatology › Dermatology and Skin Diseases
- Keywords
- microbiome, allergic diseases, asthma, atopic dermatitis, food allergy, microbiome manipulation, probiotics, prebiotics, evidence-based recommendations, knowledge gaps
- MeSH terms
- Allergy and Immunology, Animals, Humans, Hypersensitivity, Microbiota
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
