| Literature DB >> 31284694 |
Young Bok Lee1, Eun Jung Byun2, Hei Sung Kim3,4.
Abstract
Acne is a highly prevalent inflammatory skin condition involving sebaceous sties. Although it clearly develops from an interplay of multiple factors, the exact cause of acne remains elusive. It is increasingly believed that the interaction between skin microbes and host immunity plays an important role in this disease, with perturbed microbial composition and activity found in acne patients. Cutibacterium acnes (C. acnes; formerly called Propionibacterium acnes) is commonly found in sebum-rich areas and its over-proliferation has long been thought to contribute to the disease. However, information provided by advanced metagenomic sequencing has indicated that the cutaneous microbiota in acne patients and acne-free individuals differ at the virulent-specific lineage level. Acne also has close connections with the gastrointestinal tract, and many argue that the gut microbiota could be involved in the pathogenic process of acne. The emotions of stress (e.g., depression and anxiety), for instance, have been hypothesized to aggravate acne by altering the gut microbiota and increasing intestinal permeability, potentially contributing to skin inflammation. Over the years, an expanding body of research has highlighted the presence of a gut-brain-skin axis that connects gut microbes, oral probiotics, and diet, currently an area of intense scrutiny, to acne severity. This review concentrates on the skin and gut microbes in acne, the role that the gut-brain-skin axis plays in the immunobiology of acne, and newly emerging microbiome-based therapies that can be applied to treat acne.Entities:
Keywords: acne; brain; gut; microbiome; microbiota; skin; therapeutic implications
Year: 2019 PMID: 31284694 PMCID: PMC6678709 DOI: 10.3390/jcm8070987
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.241
Comparison of the different skin sampling methods.
| Sampling Method | ||||
|---|---|---|---|---|
| Swab | Scrape | Pore Strip | Biopsy | |
| Superficial stratum corneum | + | + | + | ± a |
| Within stratum corneum | – | + | + | + |
| Infundibulum | – | – | + | + |
| Lower hair follicle | – | – | – | + |
| Follicular biofilms | – | – | – | ± b |
| Advantages and disadvantages | ||||
| Pros | Simple, quick, and noninvasive. | Enables collection of skin cells and their associated microbes. | Collects follicular contents. | Samples all layers of the skin. |
| Cons | Might not correctly reflect the microbiota across all skin layers. | Might not correctly reflect the microbiota across all skin layers. | Might not reflect the microbiota in the lower hair follicles. | Is invasive and covers a smaller surface area than the other sampling methods. |
a Likely removed during preparation of the field with antiseptics; b Likely requires special pre-treatment, e.g., sonication prior to DNA extraction and sequencing.
Figure 1Overview of the skin (pilosebaceous unit) and the C. acnes population within it.
Figure 2Amplicon and whole genome (shotgun) metagenomic sequencing. In amplicon sequencing, primers are used to amplify marker regions. Whole genome sequencing captures all the genetic information within a sample. Only shotgun metagenomics can identify viruses and offer resolution at the strain level.
Figure 3Human skin microbiota in different body sites (moist, sebaceous, and dry). Propionibacterium spp. (including Cutibacterium spp.) are most prevalent in sebum rich areas.
Summary of the nomenclatures of C. acnes phylotypes and their association with acne and healthy skin.
| Clade (Based on Whole-Genome Sequencing) | Clade (Based on Belfast eMLST [ | Clade (Based on Aarhus MLST [ | RT [ | Acne | Healthy Skin |
|---|---|---|---|---|---|
| IA-1 | IA1 | I-1a | RT1 | √ | √ |
| IA-2 | IA1 | I-1a | RT4, RT5 | √ | |
| IB-1 | IA1 | I-1b | RT8 | √ | |
| IB-2 | IA2 | I-1a | RT3 | √ | √ |
| IB-3 | IB | I-2 | RT1 | √ | √ |
| IC | IC | NA | RT5 | √ | |
| II | II | II | RT2, RT6 | √ | |
| III | III | III | NA |
eMLST: expanded multi-locus sequence typing; MLST: multi-locus sequence typing; NA: not assigned; RT ribotype.
Figure 4A proposed model of main pathologic processes induced by C. acnes involve sebocytes, keratinocytes, and monocytes in acne vulgaris. EPS: extracellular polymeric substances; CAMP: cyclic adenosine monophosphate; TLR: toll like receptor; IL: interleukin; TNF: tumor necrosis factor; LTB: leukotriene B; CD36: cluster of differentiation 36; GM-CSF: granulocyte-macrophage colony stimulating factor; hBD: human β-defensin; MMPs: matrix metalloproteinases.
Skin and gut microbiota of acne patients compared with healthy controls.
| Significant Changes in Skin Microbiota | Significant Changes in Gut Microbiota |
|---|---|
| ↑ | ↑ |
Figure 5A proposed model of the gut–brain–skin axis in acne. HPA: hypothalamic pituitary adrenal; IGF-1: Insulin-like growth factor-1; SCFA: short chain fatty acid.
Probiotics and acne.
| Key Microbes Involved | Potentially Beneficial Microorganisms | Main Mechanism of Action | Experimental Model |
|---|---|---|---|
| Fermentation of glycerol (inhibition of | In vitro | ||
| Production of bacteriocin-like inhibitory substance (inhibition of | In vitro | ||
| Release of bacteriocin (inhibition of | In vitro | ||
| Increase in ceramide production, secondary antimicrobial activity (restoration of the skin barrier, inhibition of | In vivo, In vitro | ||
| Suppression of substance P-induced inflammation (reduction of inflammation) | Ex vivo | ||
| Production of enterocins (inhibition of | In vivo | ||
| Production of antimicrobial peptides (inhibition of | In vivo |