The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Microbe-host interplay in atopic dermatitis and psoriasis
Open accessAbstract
Despite recent advances in understanding microbial diversity in skin homeostasis, the relevance of microbial dysbiosis in inflammatory disease is poorly understood. Here we perform a comparative analysis of skin microbial communities coupled to global patterns of cutaneous gene expression in patients with atopic dermatitis or psoriasis. The skin microbiota is analysed by 16S amplicon or whole genome sequencing and the skin transcriptome by microarrays, followed by integration of the data layers. We find that atopic dermatitis and psoriasis can be classified by distinct microbes, which differ from healthy volunteers microbiome composition. Atopic dermatitis is dominated by a single microbe (Staphylococcus aureus), and associated with a disease relevant host transcriptomic signature enriched for skin barrier function, tryptophan metabolism and immune activation. In contrast, psoriasis is characterized by co-occurring communities of microbes with weak associations with disease related gene expression. Our work provides a basis for biomarker discovery and targeted therapies in skin dysbiosis.
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Cites
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
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
Search and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 20,826
Modularity and community structure in networks
Newman, M. E. J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601602103 · Cited by 12,256
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
affy—analysis of Affymetrix GeneChip data at the probe level
Gautier, L., Cope, L., Bolstad, B. M., & Irizarry, R. A. (2004) · Bioinformatics · doi:10.1093/bioinformatics/btg405 · Cited by 5,218
McDonald, D., Price, M. N., Goodrich, J., Nawrocki, E. P., DeSantis, T. Z., Probst, A., Andersen, G. L., Knight, R., & Hugenholtz, P. (2012) · The ISME Journal · doi:10.1038/ismej.2011.139 · Cited by 5,064
Williams, H. C., Leung, D. Y. M., Thestrup‐Pedersen, K., & David, T. J. (2000) · Cited by 4,596
STAMP: statistical analysis of taxonomic and functional profiles
Parks, D. H., Tyson, G. W., Hugenholtz, P., & Beiko, R. G. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu494 · Cited by 4,191
Mutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837
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The Immunology of Psoriasis-Current Concepts in Pathogenesis
Sieminska, I., Pieniawska, M., & Grzywa, T. M. (2024) · Clinical Reviews in Allergy & Immunology · doi:10.1007/s12016-024-08991-7 · Cited by 346
Keratinocytes: innate immune cells in atopic dermatitis
Chieosilapatham, P., Kiatsurayanon, C., Umehara, Y., Trujillo-Paez, J. V., Peng, G., Yue, H., Nguyen, L. T. H., & Niyonsaba, F. (2021) · Clinical and Experimental Immunology · doi:10.1111/cei.13575 · Cited by 217
The Human Skin Microbiome in Selected Cutaneous Diseases
Carmona-Cruz, S., Orozco-Covarrubias, L., & Sáez-de-Ocariz, M. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.834135 · Cited by 170
Fortino, V., Wisgrill, L., Werner, P., Suomela, S., Linder, N., Jalonen, E., Suomalainen, A., Marwah, V., Kero, M., Pesonen, M., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2009192117 · Cited by 99
Self-citationAltered Skin and Gut Microbiome in Hidradenitis Suppurativa
McCarthy, S., Barrett, M., Kirthi, S., Pellanda, P., Vlckova, K., Tobin, A.-M., Murphy, M., Shanahan, F., & O’Toole, P. W. (2022) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2021.05.036 · Cited by 98
Metadata
- Authors
- Fyhrquist, N., Muirhead, G., Prast-Nielsen, S., Jeanmougin, M., Olah, P., Skoog, T., Jules-Clement, G., Feld, M., Barrientos-Somarribas, M., Sinkko, H., van den Bogaard, E. H., Zeeuwen, P. L. J. M., Rikken, G., Schalkwijk, J., Niehues, H., Däubener, W., Eller, S. K., Alexander, H., Pennino, D., Suomela, S., Tessas, I., Lybeck, E., Baran, A. M., Darban, H., Gangwar, R. S., Gerstel, U., Jahn, K., Karisola, P., Yan, L., Hansmann, B., Katayama, S., Meller, S., Bylesjö, M., Hupé, P., Levi-Schaffer, F., Greco, D., Ranki, A., Schröder, J. M., Barker, J., Kere, J., Tsoka, S., Lauerma, A., Soumelis, V., Nestle, F. O., Homey, B., Andersson, B., & Alenius, H.
- Venue
- Nature Communications
- Published
- 2019-10-16
- Volume
- 10
- Issue
- 1
- Pages
- 4703-4703
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2980691057
- Cited by
- 409
- References
- 70
- FWCI
- 33.76
- Type
- journal article
- Language
- en
- Open access
- gold
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- Fyhrquist, N., Muirhead, G., Prast-Nielsen, S., Jeanmougin, M., Olah, P., Skoog, T., Jules-Clement, G., Feld, M., Barrientos-Somarribas, M., Sinkko, H., van den Bogaard, E. H., Zeeuwen, P. L. J. M., Rikken, G., Schalkwijk, J., Niehues, H., Däubener, W., Eller, S. K., Alexander, H., Pennino, D., . . . Alenius, H. (2019). Microbe-host interplay in atopic dermatitis and psoriasis. Nature Communications. https://doi.org/10.1038/s41467-019-12253-y
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.