New insights into the characteristic skin microorganisms in different grades of acne and different acne sites
The increasing maturity of sequencing technology provides a convenient approach to studying the role of skin microorganisms in acne pathogenesis. However, there are still too few studies about the skin microbiota of Asian acne patients, especially a lack of detailed analysis of the characteristics o...
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| Vydáno v: | Frontiers in microbiology Ročník 14; s. 1167923 |
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27.04.2023
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| Abstract | The increasing maturity of sequencing technology provides a convenient approach to studying the role of skin microorganisms in acne pathogenesis. However, there are still too few studies about the skin microbiota of Asian acne patients, especially a lack of detailed analysis of the characteristics of the skin microbiota in the different acne sites.
In this study, a total of 34 college students were recruited and divided into the health, mild acne, and severe acne groups. The bacterial and fungal flora of samples were separately detected by 16S and 18S rRNA gene sequencing. The biomarkers of different acne grades and different acne sites [forehead, cheek, chin, torso (including chest and back)] were excavated.
Our results indicated that there was no significant difference in species diversity between groups. The genera like
, and
, which have a relatively high abundance in the skin microbiota and were reported as the most acne-associated microbes, were no obvious differences between groups. On the contrary, the abundance of less reported Gram-negative bacteria (
,
,
) and
has a significant alteration. Compared with the health group and the mild group, in the severe group, the abundance of
and
sharply reduced while that of
and
remarkably raised. Moreover, different acne sites have different numbers and types of biomarkers. Among the four acne sites, the cheek has the greatest number of biomarkers including
,
,
,
,
, and
, while no biomarker was observed for the forehead. The network analysis indicated that there might be a competitive relationship between
and
. This study would provide a new insight and theoretical basis for precise and personalized acne microbial therapy. |
|---|---|
| AbstractList | The increasing maturity of sequencing technology provides a convenient approach to studying the role of skin microorganisms in acne pathogenesis. However, there are still too few studies about the skin microbiota of Asian acne patients, especially a lack of detailed analysis of the characteristics of the skin microbiota in the different acne sites.BackgroundThe increasing maturity of sequencing technology provides a convenient approach to studying the role of skin microorganisms in acne pathogenesis. However, there are still too few studies about the skin microbiota of Asian acne patients, especially a lack of detailed analysis of the characteristics of the skin microbiota in the different acne sites.In this study, a total of 34 college students were recruited and divided into the health, mild acne, and severe acne groups. The bacterial and fungal flora of samples were separately detected by 16S and 18S rRNA gene sequencing. The biomarkers of different acne grades and different acne sites [forehead, cheek, chin, torso (including chest and back)] were excavated.MethodsIn this study, a total of 34 college students were recruited and divided into the health, mild acne, and severe acne groups. The bacterial and fungal flora of samples were separately detected by 16S and 18S rRNA gene sequencing. The biomarkers of different acne grades and different acne sites [forehead, cheek, chin, torso (including chest and back)] were excavated.Our results indicated that there was no significant difference in species diversity between groups. The genera like Propionibacterium, Staphylococcus, Corynebacterium, and Malassezia, which have a relatively high abundance in the skin microbiota and were reported as the most acne-associated microbes, were no obvious differences between groups. On the contrary, the abundance of less reported Gram-negative bacteria (Pseudomonas, Ralstonia, and Pseudidiomarina) and Candida has a significant alteration. Compared with the health group and the mild group, in the severe group, the abundance of Pseudomonas and Ralstonia sharply reduced while that of Pseudidiomarina and Candida remarkably raised. Moreover, different acne sites have different numbers and types of biomarkers. Among the four acne sites, the cheek has the greatest number of biomarkers including Pseudomonas, Ralstonia, Pseudidiomarina, Malassezia, Saccharomyces, and Candida, while no biomarker was observed for the forehead. The network analysis indicated that there might be a competitive relationship between Pseudomonas and Propionibacterium. This study would provide a new insight and theoretical basis for precise and personalized acne microbial therapy.Results and DiscussionOur results indicated that there was no significant difference in species diversity between groups. The genera like Propionibacterium, Staphylococcus, Corynebacterium, and Malassezia, which have a relatively high abundance in the skin microbiota and were reported as the most acne-associated microbes, were no obvious differences between groups. On the contrary, the abundance of less reported Gram-negative bacteria (Pseudomonas, Ralstonia, and Pseudidiomarina) and Candida has a significant alteration. Compared with the health group and the mild group, in the severe group, the abundance of Pseudomonas and Ralstonia sharply reduced while that of Pseudidiomarina and Candida remarkably raised. Moreover, different acne sites have different numbers and types of biomarkers. Among the four acne sites, the cheek has the greatest number of biomarkers including Pseudomonas, Ralstonia, Pseudidiomarina, Malassezia, Saccharomyces, and Candida, while no biomarker was observed for the forehead. The network analysis indicated that there might be a competitive relationship between Pseudomonas and Propionibacterium. This study would provide a new insight and theoretical basis for precise and personalized acne microbial therapy. The increasing maturity of sequencing technology provides a convenient approach to studying the role of skin microorganisms in acne pathogenesis. However, there are still too few studies about the skin microbiota of Asian acne patients, especially a lack of detailed analysis of the characteristics of the skin microbiota in the different acne sites. In this study, a total of 34 college students were recruited and divided into the health, mild acne, and severe acne groups. The bacterial and fungal flora of samples were separately detected by 16S and 18S rRNA gene sequencing. The biomarkers of different acne grades and different acne sites [forehead, cheek, chin, torso (including chest and back)] were excavated. Our results indicated that there was no significant difference in species diversity between groups. The genera like , and , which have a relatively high abundance in the skin microbiota and were reported as the most acne-associated microbes, were no obvious differences between groups. On the contrary, the abundance of less reported Gram-negative bacteria ( , , ) and has a significant alteration. Compared with the health group and the mild group, in the severe group, the abundance of and sharply reduced while that of and remarkably raised. Moreover, different acne sites have different numbers and types of biomarkers. Among the four acne sites, the cheek has the greatest number of biomarkers including , , , , , and , while no biomarker was observed for the forehead. The network analysis indicated that there might be a competitive relationship between and . This study would provide a new insight and theoretical basis for precise and personalized acne microbial therapy. BackgroundThe increasing maturity of sequencing technology provides a convenient approach to studying the role of skin microorganisms in acne pathogenesis. However, there are still too few studies about the skin microbiota of Asian acne patients, especially a lack of detailed analysis of the characteristics of the skin microbiota in the different acne sites.MethodsIn this study, a total of 34 college students were recruited and divided into the health, mild acne, and severe acne groups. The bacterial and fungal flora of samples were separately detected by 16S and 18S rRNA gene sequencing. The biomarkers of different acne grades and different acne sites [forehead, cheek, chin, torso (including chest and back)] were excavated.Results and DiscussionOur results indicated that there was no significant difference in species diversity between groups. The genera like Propionibacterium, Staphylococcus, Corynebacterium, and Malassezia, which have a relatively high abundance in the skin microbiota and were reported as the most acne-associated microbes, were no obvious differences between groups. On the contrary, the abundance of less reported Gram-negative bacteria (Pseudomonas, Ralstonia, and Pseudidiomarina) and Candida has a significant alteration. Compared with the health group and the mild group, in the severe group, the abundance of Pseudomonas and Ralstonia sharply reduced while that of Pseudidiomarina and Candida remarkably raised. Moreover, different acne sites have different numbers and types of biomarkers. Among the four acne sites, the cheek has the greatest number of biomarkers including Pseudomonas, Ralstonia, Pseudidiomarina, Malassezia, Saccharomyces, and Candida, while no biomarker was observed for the forehead. The network analysis indicated that there might be a competitive relationship between Pseudomonas and Propionibacterium. This study would provide a new insight and theoretical basis for precise and personalized acne microbial therapy. |
| Author | Zhang, Liang Guo, Zitao Zhou, Leyuan Dong, Dake Yang, Yuliang Wu, Qianjie Liu, Meng |
| AuthorAffiliation | 5 Department of Dermatology, Affiliated Hospital of Jiangnan University , Wuxi , China 1 National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University , Wuxi , China 4 Department of Radiation Oncology, Dushu Lake Hospital Affiliated to Soochow University , Suzhou , China 3 Wuxi Medical College, Jiangnan University , Wuxi , China 2 Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University , Wuxi , China |
| AuthorAffiliation_xml | – name: 5 Department of Dermatology, Affiliated Hospital of Jiangnan University , Wuxi , China – name: 1 National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University , Wuxi , China – name: 3 Wuxi Medical College, Jiangnan University , Wuxi , China – name: 4 Department of Radiation Oncology, Dushu Lake Hospital Affiliated to Soochow University , Suzhou , China – name: 2 Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University , Wuxi , China |
| Author_xml | – sequence: 1 givenname: Zitao surname: Guo fullname: Guo, Zitao – sequence: 2 givenname: Yuliang surname: Yang fullname: Yang, Yuliang – sequence: 3 givenname: Qianjie surname: Wu fullname: Wu, Qianjie – sequence: 4 givenname: Meng surname: Liu fullname: Liu, Meng – sequence: 5 givenname: Leyuan surname: Zhou fullname: Zhou, Leyuan – sequence: 6 givenname: Liang surname: Zhang fullname: Zhang, Liang – sequence: 7 givenname: Dake surname: Dong fullname: Dong, Dake |
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| Cites_doi | 10.1038/jid.2013.21 10.1111/jdv.18616 10.1073/pnas.0607077104 10.3390/microorganisms10071303 10.1007/s40257-018-00417-3 10.2147/CCID.S379609 10.1111/bjd.14967 10.1111/exd.14535 10.1016/j.jid.2016.10.033 10.3109/08910609409141354 10.4103/0019-5154.190102 10.1186/s12934-022-01901-6 10.3390/pharmaceutics14051047 10.1099/ijsem.0.003760 10.1128/CMR.00092-13 10.1038/nature11234 10.1111/apm.13201 10.1038/nature25177 10.1159/000356777 10.1038/s41598-022-25436-3 10.1007/s11046-021-00586-6 10.1038/srep11845 10.1111/bjd.18088 10.1111/1346-8138.14952 10.1016/j.phymed.2022.154101 10.1371/journal.pbio.1002533 10.1007/s10096-013-1975-9 10.21037/apm-21-1482 10.1111/jdv.15043 10.1371/journal.pone.0151990 10.1001/jamadermatol.2018.5221 10.1007/s12275-021-0647-1 10.1016/j.clindermatol.2004.03.008 10.1038/srep39491 |
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| Keywords | body site skin microbiota acne Pseudomonas Ralstonia |
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| Title | New insights into the characteristic skin microorganisms in different grades of acne and different acne sites |
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