Evidence map›Paper›PMID 38902263›Full record

ArticleNPJ biofilms and microbiomes2024

Facemask acne attenuation through modulation of indirect microbiome interactions.

Han-Hee Na, Seil Kim, Jun-Seob Kim, Soohyun Lee, Yeseul Kim, Su-Hyun Kim, Choong-Hwan Lee, Dohyeon Kim, Sung Ho Yoon, Haeyoung Jeong and 3 more

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Mitigation ofJournal of microbiology and biotechnology · 2025
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Han-Hee NaInfectious Disease Research Center, KRIBB, Daejeon, 34141, South Korea.
Seil KimDivision of Metrology for Quality of Life, Center for Bioanalysis, Korea Research Institute of Standards and Science, 267 Gajeong-Ro, Yuseong-Gu, Daejeon, 34113, Republic of Korea.
Jun-Seob KimDepartment of Nano-Bioengineering, Incheon National University, Incheon, 22012, South Korea.ORCID http://orcid.org/0000-0003-0001-6646
Soohyun LeeInfectious Disease Research Center, KRIBB, Daejeon, 34141, South Korea.
Yeseul KimInfectious Disease Research Center, KRIBB, Daejeon, 34141, South Korea.
Su-Hyun KimDepartment of Bioscience and Biotechnology, Konkuk University, 05029, Seoul, Republic of Korea.
Choong-Hwan LeeDepartment of Bioscience and Biotechnology, Konkuk University, 05029, Seoul, Republic of Korea.
Dohyeon KimDepartment of Bioscience and Biotechnology, Konkuk University, 05029, Seoul, Republic of Korea.
Sung Ho YoonDepartment of Bioscience and Biotechnology, Konkuk University, 05029, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-0171-944X
Haeyoung JeongInfectious Disease Research Center, KRIBB, Daejeon, 34141, South Korea.ORCID http://orcid.org/0000-0002-4479-4573
Daehyuk KweonDepartment of Integrative Biotechnology, College of Biotechnology and Bioengineering, Sungkyunkwan University, Suwon, 16419, South Korea.
Hwi Won SeoInfectious Disease Research Center, KRIBB, Daejeon, 34141, South Korea. seohw01@kribb.re.kr.
Choong-Min RyuInfectious Disease Research Center, KRIBB, Daejeon, 34141, South Korea. cmryu@kribb.re.kr.ORCID http://orcid.org/0000-0002-7276-1189

Funding

Korea Research Institute of Bioscience and Biotechnology (KRIBB) KRIBB initiative programNational Research Council of Science and Technology (National Research Council of Science & Technology) 2021087000National Research Foundation of Korea (NRF) RS-2023-00219213
6 · The paper itself

Abstract

During the COVID-19 pandemic, facemasks played a pivotal role in preventing person-person droplet transmission of viral particles. However, prolonged facemask wearing causes skin irritations colloquially referred to as 'maskne' (mask + acne), which manifests as acne and contact dermatitis and is mostly caused by pathogenic skin microbes. Previous studies revealed that the putative causal microbes were anaerobic bacteria, but the pathogenesis of facemask-associated skin conditions remains poorly defined. We therefore characterized the role of the facemask-associated skin microbiota in the development of maskne using culture-dependent and -independent methodologies. Metagenomic analysis revealed that the majority of the facemask microbiota were anaerobic bacteria that originated from the skin rather than saliva. Previous work demonstrated direct interaction between pathogenic bacteria and antagonistic strains in the microbiome. We expanded this analysis to include indirect interaction between pathogenic bacteria and other indigenous bacteria classified as either 'pathogen helper (PH)' or 'pathogen inhibitor (PIn)' strains. In vitro screening of bacteria isolated from facemasks identified both strains that antagonized and promoted pathogen growth. These data were validated using a mouse skin infection model, where we observed attenuation of symptoms following pathogen infection. Moreover, the inhibitor of pathogen helper (IPH) strain, which did not directly attenuate pathogen growth in vitro and in vivo, functioned to suppress symptom development and pathogen growth indirectly through PH inhibitory antibacterial products such as phenyl lactic acid. Taken together, our study is the first to define a mechanism by which indirect microbiota interactions under facemasks can control symptoms of maskne by suppressing a skin pathogen.

Indexed as

COVID-19MasksMicrobiotaSkinAcne VulgarisAnimalsBacteriaDermatitis, ContactDisease Models, AnimalFemaleHumansMetagenomicsMiceMicrobial InteractionsSARS-CoV-2

Identifiers

PMID38902263
PMCPMC11190265

What OpenQuestion holds

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LicenceCC BY
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.