The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Sebum and Hydration Levels in Specific Regions of Human Face Significantly Predict the Nature and Diversity of Facial Skin Microbiome
Open accessAbstract
The skin microbiome varies across individuals. The causes of these variations are inadequately understood. We tested the hypothesis that inter-individual variation in facial skin microbiome can be significantly explained by variation in sebum and hydration levels in specific facial regions of humans. We measured sebum and hydration from forehead and cheek regions of healthy female volunteers (n = 30). Metagenomic DNA from skin swabs were sequenced for V3-V5 regions of 16S rRNA gene. Altogether, 34 phyla were identified; predominantly Actinobacteria (66.3%), Firmicutes (17.7%), Proteobacteria (13.1%) and Bacteroidetes (1.4%). About 1000 genera were identified; predominantly Propionibacterium (58.6%), Staphylococcus (8.6%), Streptococcus (4.0%), Corynebacterium (3.6%) and Paracoccus (3.3%). A subset (n = 24) of individuals were sampled two months later. Stepwise multiple regression analysis showed that cheek sebum level was the most significant predictor of microbiome composition and diversity followed by forehead hydration level; forehead sebum and cheek hydration levels were not. With increase in cheek sebum, the prevalence of Actinobacteria (p = 0.001)/Propionibacterium (p = 0.002) increased, whereas microbiome diversity decreased (Shannon Index, p = 0.032); this was opposite for other phyla/genera. These trends were reversed for forehead hydration levels. Therefore, the nature and diversity of facial skin microbiome is jointly determined by site-specific lipid and water levels in the stratum corneum.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Interestingly, its diversity was found to be associated with the differences in the quantitative levels of sebum and hydration even between various parts of the face.55”
From Sebaceous-immunobiology is orchestrated by sebum lipids (2017) · cites this paper as [55]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Schloss, P. D., Westcott, S. L., Ryabin, T., Hall, J. R., Hartmann, M., Hollister, E. B., Lesniewski, R. A., Oakley, B. B., Parks, D. H., Robinson, C. J., et al. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.01541-09 · Cited by 21,481
Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
Cole, J. R., Wang, Q., Cardenas, E., Fish, J., Chai, B., Farris, R. J., Kulam-Syed-Mohideen, A. S., McGarrell, D. M., Marsh, T. L., Garrity, G. M., et al. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn879 · Cited by 4,873
Bacterial Community Variation in Human Body Habitats Across Space and Time
Costello, E. K., Lauber, C. L., Hamady, M., Fierer, N., Gordon, J. I., & Knight, R. (2009) · Science · doi:10.1126/science.1177486 · Cited by 3,231
Grice, E. A., & Segre, J. A. (2011) · Nature Reviews Microbiology · doi:10.1038/nrmicro2537 · Cited by 3,143
Topographical and Temporal Diversity of the Human Skin Microbiome
Grice, E. A., Kong, H. H., Conlan, S., Deming, C. B., Davis, J., Young, A. C., Program, N. C. S., Bouffard, G. G., Blakesley, R. W., Murray, P. R., et al. (2009) · Science · doi:10.1126/science.1171700 · Cited by 2,953
UniFrac: an effective distance metric for microbial community comparison
Lozupone, C., Lladser, M. E., Knights, D., Stombaugh, J., & Knight, R. (2011) · The ISME Journal · doi:10.1038/ismej.2010.133 · Cited by 2,825
Kong, H. H., Oh, J., Deming, C., Conlan, S., Grice, E. A., Beatson, M. A., Nomicos, E., Polley, E. C., Komarow, H. D., Program, N. C. S., et al. (2012) · Genome Research · doi:10.1101/gr.131029.111 · Cited by 1,808
Gut microbiome of the Hadza hunter-gatherers
Schnorr, S. L., Candela, M., Rampelli, S., Centanni, M., Consolandi, C., Basaglia, G., Turroni, S., Biagi, E., Peano, C., Severgnini, M., et al. (2014) · Nature Communications · doi:10.1038/ncomms4654 · Cited by 1,317
Flagged first, then by citations
Cited by
Sorted by citations
Byrd, A. L., Belkaid, Y., & Segre, J. A. (2018) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2017.157 · Cited by 2,806
Microbiome and Human Health: Current Understanding, Engineering, and Enabling Technologies
Aggarwal, N., Kitano, S., Puah, G. R. Y., Kittelmann, S., Hwang, I. Y., & Chang, M. W. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00431 · Cited by 571
Host-microbiome interactions and recent progress into understanding the biology of acne vulgaris
O’Neill, A. M., & Gallo, R. L. (2018) · Microbiome · doi:10.1186/s40168-018-0558-5 · Cited by 334
Fournière, M., Latire, T., Souak, D., Feuilloley, M. G. J., & Bedoux, G. (2020) · Microorganisms · doi:10.3390/microorganisms8111752 · Cited by 227
The Landscape Ecology and Microbiota of the Human Nose, Mouth, and Throat
Proctor, D. M., & Relman, D. A. (2017) · Cell Host & Microbe · doi:10.1016/j.chom.2017.03.011 · Cited by 203
Metadata
- Authors
- Mukherjee, S., Mitra, R., Maitra, A., Gupta, S., Kumaran, S., Chakrabortty, A., & Majumder, P. P.
- Affiliations
- National Institute of Biomedical Genomics (IN)
- Unilever (India) (IN)
- Corresponding author
- Mukherjee, Souvik
- Majumder, Partha P.
- Venue
- Scientific Reports
- Published
- 2016-10-27
- Volume
- 6
- Issue
- 1
- Pages
- 36062-36062
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC5081537
- OpenAlex
- W2544642403
- Cited by
- 153
- References
- 42
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 14 · 2023: 25 · 2022: 21 · 2021: 31 · 2020: 13 · 2019: 11 · 2018: 8 · 2017: 8
- FWCI
- 10.82
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Dermatology › Dermatology and Skin Diseases
- Health Sciences › Medicine › Dermatology › Acne and Rosacea Treatments and Effects
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Keywords
- sebum, skin hydration, interindividual variability, Propionibacterium, actinobacteria, microbiome diversity, frons, cheek, stratum corneum lipids, 16S rRNA gene metagenomics
- MeSH terms
- Bacteria, Cheek, DNA, Bacterial, DNA, Ribosomal, Female, Forehead, Humans, Phylogeny, RNA, Ribosomal, 16S, Sebum, Skin, Water, Sequence Analysis, DNA, DNA, Archaeal, Metagenomics, Microbiota, Healthy Volunteers
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review