| Autor: |
Kun Liang, Cheryl Leong, Jia Min Loh, Nathania Chan, Larissa Lim, Yuen In Lam, Thomas L. Dawson, Hong Liang Tey |
| Přispěvatelé: |
Lee Kong Chian School of Medicine (LKCMedicine), National University of Singapore, National Skin Centre |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Proceedings of the National Academy of Sciences of the United States of America. 119(30) |
| ISSN: |
1091-6490 |
| Popis: |
Skin microbiome sampling is currently performed with tools such as swabs and tape strips to collect microbes from the skin surface. However, these conventional approaches may be unable to detect microbes deeper in the epidermis or in epidermal invaginations. We describe a sampling tool with a depth component, a transepidermal microprojection array (MPA), which captures microbial biomass from both the epidermal surface and deeper skin layers. We leveraged the rapid customizability of 3D printing to enable systematic optimization of MPA for human skin sampling. Evaluation of sampling efficacy on human scalp revealed the optimized MPA was comparable in sensitivity to swab and superior to tape strip, especially for nonstandard skin surfaces. We observed differences in species diversity, with the MPA detecting clinically relevant fungi more often than other approaches. This work delivers a tool in the complex field of skin microbiome sampling to potentially address gaps in our understanding of its role in health and disease. Agency for Science, Technology and Research (A*STAR) National Medical Research Council (NMRC) Published version This work was supported by the National Additive Manufacturing Innovation Cluster@NTUitive (NAMIC@NTUitive) , Singapore, grants 2018255 and 2019060. Authors were supported by funding from A*STAR and A*STAR BMRC EDB IAF-PP grants H17/01/a0/004 "Skin Research Institute of Singapore" (K.L. and T.L.D.J.) and H18/01a0/016 "Asian Skin Micro-biome Program" (C.L., N.C., Y.I.L., and T.L.D.J.) . H.L.T. was supported by Singa-pore Ministry of Health's National Medical Research Council under its Clinician Scientist Award (CSAINV20nov-0003). |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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