Evidence map›Paper›PMID 27562258›Full record

ArticleNature microbiology2016

Whole metagenome profiling reveals skin microbiome-dependent susceptibility to atopic dermatitis flare.

Kern Rei Chng, Angeline Su Ling Tay, Chenhao Li, Amanda Hui Qi Ng, Jingjing Wang, Bani Kaur Suri, Sri Anusha Matta, Naomi McGovern, Baptiste Janela, Xuan Fei Colin C Wong and 12 more

Abstract read
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In one paragraph

Article in Nature microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 220 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
220citing papers in PubMed, 4 pooled it
35.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

220 citing papers in PubMed, 4 syntheses or guidelines pooled it, 398 citations in OpenAlex.

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  10. Shared Pathways between Psoriasis and Atopic Dermatitis.Dermatology practical & conceptual · 2026
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160 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 8 institutions in 3 countries.

Kern Rei ChngGenome Institute of Singapore, Singapore 138672, Singapore.
Angeline Su Ling TayInstitute of Medical Biology, Singapore 138648, Singapore.
Chenhao LiGenome Institute of Singapore, Singapore 138672, Singapore.
Amanda Hui Qi NgGenome Institute of Singapore, Singapore 138672, Singapore.
Jingjing WangInstitute of Molecular and Cell Biology, Singapore 138673, Singapore.
Bani Kaur SuriDepartment of Biological Sciences, National University of Singapore, Singapore 117543.
Sri Anusha MattaDepartment of Biological Sciences, National University of Singapore, Singapore 117543.
Naomi McGovernSingapore Immunology Network, Singapore 138648, Singapore.
Baptiste JanelaSingapore Immunology Network, Singapore 138648, Singapore.
Xuan Fei Colin C WongInstitute of Medical Biology, Singapore 138648, Singapore.
Yang Yie SioDepartment of Biological Sciences, National University of Singapore, Singapore 117543.
Bijin Veonice AuInstitute of Molecular and Cell Biology, Singapore 138673, Singapore.
Andreas WilmGenome Institute of Singapore, Singapore 138672, Singapore.
Paola Florez De SessionsGenome Institute of Singapore, Singapore 138672, Singapore.
Thiam Chye LimDivision of Plastic, Reconstructive &Aesthetic Surgery, National University Health System, Singapore 119074, Singapore.
Mark Boon Yang TangNational Skin Centre, Singapore 308205, Singapore.
Florent GinhouxSingapore Immunology Network, Singapore 138648, Singapore.ORCID http://orcid.org/0000-0002-2857-7755
John E ConnollyInstitute of Molecular and Cell Biology, Singapore 138673, Singapore.
E Birgitte LaneInstitute of Medical Biology, Singapore 138648, Singapore.
Fook Tim ChewDepartment of Biological Sciences, National University of Singapore, Singapore 117543.ORCID http://orcid.org/0000-0003-1337-5146
John E A CommonInstitute of Medical Biology, Singapore 138648, Singapore.ORCID http://orcid.org/0000-0002-3280-7365
Niranjan NagarajanGenome Institute of Singapore, Singapore 138672, Singapore.
Genome Institute of Singapore · SGInstitute of Medical Biology · SGNational University of Singapore · SGSingapore Immunology Network · SGBaylor University · USInstitute of Molecular and Cell Biology · SGNational Skin Centre · SGNational University Health System · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole metagenome analysis has the potential to reveal functional triggers of skin diseases, but issues of cost, robustness and sampling efficacy have limited its application. Here, we have established an alternative, clinically practical and robust metagenomic analysis protocol and applied it to 80 skin microbiome samples epidemiologically stratified for atopic dermatitis (AD). We have identified distinct non-flare, baseline skin microbiome signatures enriched for Streptococcus and Gemella but depleted for Dermacoccus in AD-prone versus normal healthy skin. Bacterial challenge assays using keratinocytes and monocyte-derived dendritic cells established distinct IL-1-mediated, innate and Th1-mediated adaptive immune responses with Staphylococcus aureus and Staphylococcus epidermidis. Bacterial differences were complemented by perturbations in the eukaryotic community and functional shifts in the microbiome-wide gene repertoire, which could exacerbate a dry and alkaline phenotype primed for pathogen growth and inflammation in AD-susceptible skin. These findings provide insights into how the skin microbial community, skin surface microenvironment and immune system cross-modulate each other, escalating the destructive feedback cycle between them that leads to AD flare.

Indexed as

MetagenomeAdaptive ImmunityAdultAnimalsDendritic CellsDermatitis, AtopicDisease SusceptibilityFemaleHumansInterleukin-1MaleMetagenomicsMice, Inbred C57BLMicrobiotaSkinStaphylococcal InfectionsInterleukin-1

Identifiers

PMID27562258
OpenAlexW2460413948

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.