The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Maternal IgA protects against the development of necrotizing enterocolitis in preterm infants
Open accessAbstract
Neonates are protected from colonizing bacteria by antibodies secreted into maternal milk. Necrotizing enterocolitis (NEC) is a disease of neonatal preterm infants with high morbidity and mortality that is associated with intestinal inflammation driven by the microbiota1–3. The incidence of NEC is substantially lower in infants fed with maternal milk, although the mechanisms that underlie this benefit are not clear4–6. Here we show that maternal immunoglobulin A (IgA) is an important factor for protection against NEC. Analysis of IgA binding to fecal bacteria from preterm infants indicated that maternal milk was the predominant source of IgA in the first month of life and that a relative decrease in IgA-bound bacteria is associated with the development of NEC. Sequencing of IgA-bound and unbound bacteria revealed that before the onset of disease, NEC was associated with increasing domination by Enterobacteriaceae in the IgA-unbound fraction of the microbiota. Furthermore, we confirmed that IgA is critical for preventing NEC in a mouse model, in which pups that are reared by IgA-deficient mothers are susceptible to disease despite exposure to maternal milk. Our findings show that maternal IgA shapes the host–microbiota relationship of preterm neonates and that IgA in maternal milk is a critical and necessary factor for the prevention of NEC. Immunoglobulin A antibodies in maternal milk are required for prevention of necrotizing enterocolitis in preterm neonates.
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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
UPARSE: highly accurate OTU sequences from microbial amplicon reads
Edgar, R. C. (2013) · Nature Methods · doi:10.1038/nmeth.2604 · Cited by 16,707
Metagenomic biomarker discovery and explanation
Segata, N., Izard, J., Waldron, L., Gevers, D., Miropolsky, L., Garrett, W. S., & Huttenhower, C. (2011) · Genome Biology · doi:10.1186/gb-2011-12-6-r60 · Cited by 16,192
Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Lozupone, C. A., Turnbaugh, P. J., Fierer, N., & Knight, R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000080107 · Cited by 9,711
Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Huntley, J., Fierer, N., Owens, S. M., Betley, J., Fraser, L., Bauer, M., et al. (2012) · The ISME Journal · doi:10.1038/ismej.2012.8 · Cited by 8,839
Neu, J., & Walker, W. A. (2011) · New England Journal of Medicine · doi:10.1056/nejmra1005408 · Cited by 2,141
Breast milk and neonatal necrotising enterocolitis
Lucas, A., & Cole, T. J. (1990) · The Lancet · doi:10.1016/0140-6736(90)93304-8 · Cited by 1,585
Immunoglobulin A Coating Identifies Colitogenic Bacteria in Inflammatory Bowel Disease
Palm, N. W., de Zoete, M. R., Cullen, T. W., Barry, N. A., Stefanowski, J., Hao, L., Degnan, P. H., Hu, J., Peter, I., Zhang, W., et al. (2014) · Cell · doi:10.1016/j.cell.2014.08.006 · Cited by 1,286
Quantitative microbiome profiling links gut community variation to microbial load
Vandeputte, D., Kathagen, G., D’hoe, K., Vieira-Silva, S., Valles-Colomer, M., Sabino, J., Wang, J., Tito, R. Y., De Commer, L., Darzi, Y., et al. (2017) · Nature · doi:10.1038/nature24460 · Cited by 1,218
Microbiota-activated PPAR-γ signaling inhibits dysbiotic Enterobacteriaceae expansion
Byndloss, M. X., Olsan, E. E., Rivera-Chávez, F., Tiffany, C. R., Cevallos, S. A., Lokken, K. L., Torres, T. P., Byndloss, A. J., Faber, F., Gao, Y., et al. (2017) · Science · doi:10.1126/science.aam9949 · Cited by 1,215
Cited by
Rethinking mucosal antibody responses: IgM, IgG and IgD join IgA
Chen, K., Magri, G., Grasset, E. K., & Cerutti, A. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-019-0261-1 · Cited by 336
Control of Immunity by the Microbiota
Ansaldo, E., Farley, T. K., & Belkaid, Y. (2021) · Annual Review of Immunology · doi:10.1146/annurev-immunol-093019-112348 · Cited by 298
Diversity and dynamism of IgA−microbiota interactions
Huus, K. E., Petersen, C., & Finlay, B. B. (2021) · Nature Reviews Immunology · doi:10.1038/s41577-021-00506-1 · Cited by 198
Metadata
- Authors
- Gopalakrishna, K. P., Macadangdang, B. R., Rogers, M. B., Tometich, J. T., Firek, B. A., Baker, R., Ji, J., Burr, A. H. P., Ma, C., Good, M., Morowitz, M. J., & Hand, T. W.
- Venue
- Nature Medicine
- Published
- 2019-06-17
- Volume
- 25
- Issue
- 7
- Pages
- 1110-1115
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W2951299640
- Cited by
- 303
- References
- 49
- FWCI
- 23.56
- Type
- journal article
- Language
- en
- Open access
- green
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- Gopalakrishna, K. P., Macadangdang, B. R., Rogers, M. B., Tometich, J. T., Firek, B. A., Baker, R., Ji, J., Burr, A. H. P., Ma, C., Good, M., Morowitz, M. J., & Hand, T. W. (2019). Maternal IgA protects against the development of necrotizing enterocolitis in preterm infants. Nature Medicine. https://doi.org/10.1038/s41591-019-0480-9
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