| Literature DB >> 32914214 |
Hei Sung Kim1,2,3.
Abstract
Rosacea is a complex facial skin condition associated with abnormal inflammation and vascular dysfunction. Next to the known trigger factors, the role of microbiota in the development and aggravation of rosacea continues to raise interest. Demodex folliculorum mites, Helicobacter pylori, Staphylococcus epidermidis, Chlamydia pneumoniae, and the Demodex-associated bacterium, Bacillus oleronius are microbes that have been linked with rosacea. However, the results of studies which assessed their involvement in the disease have been inconsistent and inconclusive. Microbiological research in many different disciplines exploded in recent years as methods to analyze complex microbial communities at the taxonomic and phylogenetic levels became available. Here, we provide an update on the microorganisms implicated in rosacea and review the potential pathogenic role of microbes in the development of rosacea.Entities:
Mesh:
Year: 2020 PMID: 32914214 PMCID: PMC7584533 DOI: 10.1007/s40257-020-00546-8
Source DB: PubMed Journal: Am J Clin Dermatol ISSN: 1175-0561 Impact factor: 7.403
Fig. 1Clinical phenotypes of rosacea. a Fixed centrofacial erythema and few papules. b Centrofacial erythema, phymatous changes of the nose, and papules. c Centrofacial erythema, mild phymatous changes, papules, and edema (published with the kind permission of the patients)
Fig. 2Patients with concurrent ocular manifestations. a Fixed centrofacial erythema, mild phymatous changes of the nose, telangiectasia, and mild blepharitis. b Centrofacial erythema, phymatous changes, papules, blepharitis, and edema (published with the kind permission of the patients)
Recent comparative studies using 16S rRNA gene sequencing to analyze microbiota in rosacea
| Title (author, year of publication) | Number of subjects/study comparison | Race | Age (years) mean ± SD (range) | 16S rRNA gene sequencing and analysis | Outcome |
|---|---|---|---|---|---|
| Skin microbiota | |||||
| Characterization of the | 60 subjects (42 healthy subjects, 18 patients with rosacea) | White (82.5%) Black (6.3%) Other (11.2%) | Rosacea: 31.3 ± 10.2 Healthy: 36.4 ± 17.3 | V3–V4 region of the 16S rRNA gene Greengenes database | Top four most abundant phyla: Firmicutes (43%), Proteobacteria (39%), Actinobacteria (16%), and Bacteroidetes (1%) No significant difference in mean abundance for all phyla between left vs right cheek nor between healthy subjects and rosacea patients Comparable alpha diversity between monozygotic twin pairs with and without rosacea Two genera ( |
| Characterization and analysis of the | 19 subjects with rosacea (ETR, PPR, or both); 19 rosacea-free controls | All Caucasian | Rosacea: age-matched to control Control: (23–65) | V3–V4 hypervariable region of the 16S rRNA gene Greengenes database | Weak negative correlation between the relative abundance of Significantly enriched and depleted species in ETR: (enriched) none; (depleted) Significantly enriched and depleted species in PPR: (enriched) |
| Characterization and analysis of the | 12 subjects with rosacea | Asian (Korean) | 49.2 ± 18.6 (20–79) Median: 51 | V3–V4 hypervariable region of the 16S rRNA gene NCBI taxonomy | 3.43-fold increase in Higher relative abundance of Lower mean relative abundance of Comparable alpha diversity between the before-treatment and the after-treatment groups |
| Gut microbiota | |||||
| Rosacea and its association with | 12 rosacea patients; 251 control subjects | Asian (Korean) | Rosacea: 42.6 Control: 43.0 | V3–V4 region of the 16S rRNA gene Greengenes database | Reduced abundance of Peptococcaceae family and |
| An altered | 11 rosacea patients; 110 control subjects | Asian (Taiwanese) | Rosacea: 49.9 ± 11.3 Control: 50.6 ± 10.2 | V3–V4 hypervariable region of the 16S rRNA gene Greengenes database | Significant reduction of fecal microbial richness in rosacea patients Enriched Reduced abundance of |
16S rRNA bacteria-specific small subunit ribosomal RNA, ETR erythematotelangiectatic rosacea, IGA Investigator’s Global Assessment, NCBI National Center for Biotechnology Information, NRS National Rosacea Society, PPR papulopustular rosacea, SD standard deviation
Fig. 3Involvement of the skin microbiota in rosacea pathophysiology. Pattern recognition receptors (PRRs) expressed on the skin participate in a continuous immune surveillance that allows symbiont microorganisms to thrive while eliminating potential pathogens. Two of these PRRs—TLR-2 and NLRP3 (also called NALP3)—are upregulated in rosacea patients, and their activation by Demodex mites is thought to trigger inflammation in rosacea. Microbiota residing on Demodex mites may also be involved in this process: antigens from Bacillus oleronius reportedly induced the proliferation of peripheral blood mononuclear cells from rosacea patients and stimulated the production of cathelicidin, MMP-9, TNF, and IL-8 by neutrophils from healthy subjects. AMP anti-microbial peptide, Cox cyclooxygenase, IL interleukin, KLK kallikrein, LL-37 active peptide form of cathelicidin, MMP matrix metalloproteinase, NALP Nacht leucine-rich repeat protein, NLRP nucleotide-binding oligomerization domain (NOD)-like receptor family, pyrin domain-containing, PAR protease-activated receptor, TLR toll-like receptor, TNF tumor necrosis factor, VEGF vascular endothelial growth factor
Fig. 4A proposed model of the gut-brain-skin axis in rosacea. HPA hypothalamic pituitary adrenal, SCFA short-chain fatty acid, TRPV transient receptor potential vanilloid
| Microbes have long been suspected to play a role in rosacea. |
| Better understanding of the microbiota and its role in rosacea pathophysiology may help determine the impact of microbial dysbiosis and host reactivity in rosacea populations. |
| Deeper knowledge of microbe–host interactions in rosacea will allow targeted patient care and aid the development of innovative therapies. |