The skin microbiome in the first year of life and its association with atopic dermatitis

Rapin, Alexis; Rehbinder, Eva Maria; Macowan, Matthew; Pattaroni, Céline; Carlsen, Karin C. Lødrup; Harris, Nicola L.; Jonassen, Christine Monceyron; Landrø, Linn; Lossius, Astrid Haaskjold; Nordlund, Björn; Rudi, Knut; Skjerven, Håvard Ove; Staff, Anne Cathrine; Söderhäll, Cilla; Ubags, Niki; Vettukattil, Riyas; Marsland, Benjamin J.

doi:10.1111/all.15671

Cited by 21 publications

(17 citation statements)

References 51 publications

(90 reference statements)

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“…These enhanced results may reflect this increased power and metagenomic approach of our study, our larger sample size, or the longer follow up of 3 years rather than 12 months 3 . However, our results may also reflect limitations in our cohort which included babies born prematurely and exposed to the unique environments of the NICU.…”

Section: Discussionmentioning

confidence: 88%

“…These enhanced results may reflect this increased power and metagenomic approach of our study, our larger sample size, or the longer follow up of 3 years rather than 12 months. 3 However, our results may also reflect limitations in our cohort which included babies born prematurely and exposed to the unique environments of the NICU. Although not associated with AD diagnosis, the rate of cesarean delivery was higher in our cohort than reported US averages 15 which resulted in higher rates of peripartum antibiotic exposure.…”

Section: Con Clus Ionsmentioning

confidence: 89%

“…3 The authors identified taxa such as Streptococcus and Bacilli as predictors of dry skin, however no bacterial taxa associated with a formal diagnosis of AD. 3 Thus, we aimed to expand on this prior finding by deploying shotgun metagenomic sequencing on a cohort of 72 neonates admitted to the neonatal intensive care unit at the Inova Fairfax Hospital (Fairfax) and followed until approximately 3 years corrected age (see supplemental methods for details of cohort). We compared skin swabs taken from behind the ear during the first week of life to contrast the microbiome of the 31 neonates who later reported developing AD (at least half of which were confirmed by providers) versus the 41 whom did not report development of AD.…”

Section: Backg Rou N Dmentioning

confidence: 99%

“…The one predictive signal detected was a reduction in the relative abundance of Staphylococcus on the antecubital fossae at 2 months, which was associated with the four patients that showed persistent disease at 1 year but did not predict general AD risk 2 . More recent work collected swabs from 346 newborns on Day 1 of life and was able to follow 281 infants for 12 months to assess change in 16S rRNA profiles 3 . The authors identified taxa such as Streptococcus and Bacilli as predictors of dry skin, however no bacterial taxa associated with a formal diagnosis of AD 3 .…”

Section: Introductionmentioning

confidence: 99%

“…More recent work collected swabs from 346 newborns on Day 1 of life and was able to follow 281 infants for 12 months to assess change in 16S rRNA profiles 3 . The authors identified taxa such as Streptococcus and Bacilli as predictors of dry skin, however no bacterial taxa associated with a formal diagnosis of AD 3 . Thus, we aimed to expand on this prior finding by deploying shotgun metagenomic sequencing on a cohort of 72 neonates admitted to the neonatal intensive care unit at the Inova Fairfax Hospital (Fairfax) and followed until approximately 3 years corrected age (see supplemental methods for details of cohort).…”

Section: Introductionmentioning

confidence: 99%

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Shotgun metagenomic sequencing on skin microbiome indicates dysbiosis exists prior to the onset of atopic dermatitis

Chaudhary

Myles

Zeldin

et al. 2023

Allergy

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BackgroundWhile the microbiome is increasingly seen as a targetable contributor to atopic dermatitis (AD), questions remain as to whether the dysbiosis is secondary to diseased skin or if it predates symptom onset. Previous work has evaluated how the skin microbiome changes with age and established the influence of factors like delivery mode and breastfeeding on global microbiome diversity. However, these studies were unable to identify taxa which predict subsequent AD.MethodsSkin swab samples were collected from the first week of life for 72 children in the neonatal intensive care unit (NICU) at a single site hospital. Participants were followed for 3 years to determine their health status. We applied shotgun metagenomic sequencing to assess the microbiome differences between 31 children who went on to develop AD and 41 controls.ResultsWe identified that subsequent development of AD was associated with differential abundance of several bacterial and fungal taxa as well as several metabolic pathways, each of which have been previously associated with active AD.ConclusionsOur work provides evidence of reproducibility for the previously reported dysbiotic signatures predating AD onset while also expanding prior findings through the first use of metagenomic assessment prior to AD onset. While extrapolation of our findings beyond the pre‐term, NICU cohort is limited, our findings add to the evidence that the dysbiosis associated with AD pre‐dates disease onset rather than reflect a secondary consequence of skin inflammation.

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Section: Discussionmentioning

confidence: 88%

Section: Con Clus Ionsmentioning

confidence: 89%