Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/164073
Title: A 3D-printed transepidermal microprojection array for human skin microbiome sampling
Authors: Liang, Kun
Leong, Cheryl
Loh, Jia Min
Chan, Nathania
Lim, Larissa
Lam, Yuen In
Dawson, Thomas L., Jr.
Tey, Hong Liang
Keywords: Science::Medicine
Issue Date: 2022
Source: Liang, K., Leong, C., Loh, J. M., Chan, N., Lim, L., Lam, Y. I., Dawson, T. L. J. & Tey, H. L. (2022). A 3D-printed transepidermal microprojection array for human skin microbiome sampling. Proceedings of the National Academy of Sciences of the United States of America, 119(30), e2203556119-. https://dx.doi.org/10.1073/pnas.2203556119
Project: H17/01/a0/004
H18/01a0/016
CSAINV20nov-0003
2018255
2019060
Journal: Proceedings of the National Academy of Sciences of the United States of America
Abstract: 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.
URI: https://hdl.handle.net/10356/164073
ISSN: 0027-8424
DOI: 10.1073/pnas.2203556119
Rights: © 2022 the Author(s). Published by PNAS. This article is distributed under Creative CommonsAttribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles

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