Is Propionibacterium acnes associated with hair casts and alopecia?

Wang, Etienne; Lee, Joyce Siong‐See; Hee, Tan Hiok

doi:10.4103/0974-7753.96907

Cited by 20 publications

(22 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These findings are consistent with the results of our previous study, where we reported the presence of a bacterial shift on the scalp of subjects suffering from AA (Pinto et al, 2019). Furthermore, this effect was found to be mainly exerted by Propionibacterium and Staphylococcus genera among AA subject microbiomes, a finding that was also reported in other studies (Wang et al, 2012;Juhász and Atanaskova Mesinkovska, 2019). A decrease in some species such as Candidatus Aquiluna rubra and Staphylococcus epidermidis and an increase in the Neisseria genus at the dermis level revealed specific characteristics associated with AA.…”

Section: Discussionsupporting

confidence: 93%

Predictive Metagenomic Profiling, Urine Metabolomics, and Human Marker Gene Expression as an Integrated Approach to Study Alopecia Areata

Pinto

Calabrese

Angelis

et al. 2020

Front. Cell. Infect. Microbiol.

View full text Add to dashboard Cite

Involvement of the microbiome in many different scalp conditions has been investigated over the years. Studies on the role of the scalp microbiome in specific diseases, such as those involving hair growth alterations like non-cicatricial [androgenetic alopecia (AGA), alopecia areata (AA)] and cicatricial alopecia lichen planopilaris, are of major importance. In the present work, we highlighted the differences in microbial populations inhabiting the scalp of AA subjects and a healthy sample cohort by using an integrated approach relying on metagenomic targeted 16S sequencing analysis, urine metabolomics, and human marker gene expression. Significant differences in genera abundances (p < 0.05) were found in the hypodermis and especially the dermis layer. Based on 16S sequencing data, we explored the differences in predicted KEGG pathways and identified some significant differences in predicted pathways related to the AA pathologic condition such as flagellar, assembly, bacterial chemotaxis, mineral absorption, ABC transporters, cellular antigens, glycosaminoglycan degradation, lysosome, sphingolipid metabolism, cell division, protein digestion and absorption, and energy metabolism. All predicted pathways were significantly enhanced in AA samples compared to expression in healthy samples, with the exceptions of mineral absorption, and ABC transporters. We also determined the expression of TNF-α, FAS, KCNA3, NOD-2, and SOD-2 genes and explored the relationships between human gene expression levels and microbiome composition by Pearson's correlation analysis; here, significant correlations both positive (SOD vs. Staphylococcus, Candidatus Aquiluna) and negative (FAS and SOD2 vs. Anaerococcus, Neisseria, and Acinetobacter) were highlighted. Finally, we inspected volatile organic metabolite profiles in urinary samples and detected statistically significant differences (menthol, methanethiol, dihydrodehydro-beta-ionone, 2,5-dimethylfuran, 1,2,3,4, tetrahydro-1,5,7-trimethylnapthalene) when comparing AA and healthy subject groups. This multiple comparison approach highlighted potential traits associated with AA and their relationship with the microbiota inhabiting the scalp, opening up novel therapeutic interventions in such kind of hair growth disorders mainly by means of prebiotics, probiotics, and postbiotics.

show abstract

Section: Discussionsupporting

confidence: 93%

Predictive Metagenomic Profiling, Urine Metabolomics, and Human Marker Gene Expression as an Integrated Approach to Study Alopecia Areata

Pinto

Calabrese

Angelis

et al. 2020

Front. Cell. Infect. Microbiol.

View full text Add to dashboard Cite

show abstract

“…Our results agree with Pinto's work [20], showing an increase in C. acnes and a decrease in S. epidermidis, suggesting the role of the Cutibacterium: Staphylococcus balance in AGA. Wang et al [9] have already noted the relationship between C. acnes and alopecia. In fact, C. acnes is able to synthesize many enzymes involved in the metabolism of porphyrins that, once activated, may contribute to oxidation and follicular inflammation.…”

Section: Discussionmentioning

confidence: 94%

Characteristics of healthy and androgenetic alopecia scalp microbiome: Effect of Lindera strychnifolia roots extract as a natural solution for its modulation

Filaire

Dreux

Boutot

et al. 2020

Intern J of Cosmetic Sci

View full text Add to dashboard Cite

The human scalp harbours a vast community of microbiotal mutualists. Androgenetic alopecia (AGA), the most common form of hair loss in males, is a multifactorial condition involving genetic predisposition and hormonal changes. The role of microflora during hair loss remains to be understood. After having characterized the scalp microbiota of 12 healthy male subjects and 12 AGA male subjects (D0), the aim of this investigation was to evaluate the capacity of Lindera strychnifolia root extract (LsR) to restore a healthy bacterial and fungal scalp microflora after 83 days (D83) of treatment. MATERIAL AND METHODS: The strategy used was based on high-throughput DNA sequencing targeting the encoding 16S ribosomal RNA for bacteria and Internal Transcribed Spacer 1 ribosomal DNA for fungi. RESULTS: Test analysis of relative abundance comparing healthy and AGA subjects showed a significant increase of Cutibacterim acnes (P < 0.05) and Stenotrophomonas geniculata (P < 0.01) in AGA subjects. AGA scalp condition was also associated with a significant (P < 0.05) decrease of Staphylococcus epidermidis relative abundance. A lower proportion of Malassezia genus in samples corresponding to AGA scalps and an increase of other bacterial genera (Wallemia, Eurotium) were also noted. At the species level, mean relative abundance of Malassezia restricta and Malassezia globosa were significantly lower (P < 0.05) in the AGA group. Eighty-three days of treatment induced a significant decrease in the relative abundance of C. acnes (P < 0.05) and S. geniculata (P < 0.01). S. epidermidis increased significantly (P < 0.05). At the same time, LsR treatment induced a significant increase in the proportion of M. restricta and M. globosa (P < 0.05). CONCLUSION: Data from sequencing profiling of the scalp microbiota strongly support a different microbial composition of scalp between control and AGA populations. Findings suggest that LsR extract may be a potential remedy for scalp microbiota re-equilibrium. Resume OBJECTIF: Le cuir chevelu humain abrite une vaste communauté microbienne. L'alopécie androgénétique (AGA), la forme la plus courante de perte de cheveux chez l'homme, est une pathologie multifactorielle impliquant une prédisposition génétique et des changements hormonaux. Le rôle de la microflore lors de la chute des cheveux resteà comprendre. Après avoir caractérisé le microbiote du cuir chevelu de 12 hommes sans alopecie et 12 hommes porteur d'une alopécie, (J0), l'objectif de cetteétudeétait d'évaluer la capacité de l'extrait de racine de Lindera strychnifolia (LsR)à restaurer une microflore bactérienne et fongique saine du cuir chevelu après 83 jours (D83) de traitement. MATÉRIEL ET MÉTHODES: La stratégie utiliséeétait basée sur un séquençage d'ADNà haut débit ciblant l'ARN ribosomal 16S codant pour les bactéries et l'ADN ribosomal de l'espaceur transcrit interne 1 pour les champignons. RÉSULTATS: Une augmentation significative de Cutibacterim acnes (P < 0,05) et Stenotrophomonas geniculata (P < 0,01) chez les sujets AGA a ete note a ...

show abstract

“…There are multiple case reports in the literature showing casual association of HC with lichen planopilaris, pseudopelade of Brocq,[ 9 ] following psychological trauma,[ 10 ] propionibacterium acne,[ 11 ] and familial preponderance. [ 12 ]…”

Section: Case Discussionmentioning

confidence: 99%