Translating microbiota analysis for clinical applications

Jyong Huei Lee; Siew Mei Chin; Kathleen E. Mach; April M. Bobenchik; Joseph C. Liao; Samuel Yang; Pak Kin Wong

doi:10.1038/s44222-024-00168-3

Translating microbiota analysis for clinical applications

Jyong Huei Lee, Siew Mei Chin, Kathleen E. Mach, April M. Bobenchik, Joseph C. Liao, Samuel Yang, Pak Kin Wong

Research output: Contribution to journal › Comment/debate › peer-review

4 Scopus citations

Abstract

Harnessing the potential of microbiota analysis creates new opportunities in diagnosing diseases, improving treatment efficacy, reducing treatment complications and preventing disease recurrence. However, microbiota analysis has not yet been integrated into clinical management workflows. Here, we discuss crucial characteristics of microbiota analysis systems for clinical translation.

Original language	English (US)
Article number	3347
Pages (from-to)	284-286
Number of pages	3
Journal	Nature Reviews Bioengineering
Volume	2
Issue number	4
DOIs	https://doi.org/10.1038/s44222-024-00168-3
State	Published - Apr 2024

All Science Journal Classification (ASJC) codes

Biophysics
Biomedical Engineering
Applied Microbiology and Biotechnology

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10.1038/s44222-024-00168-3

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title = "Translating microbiota analysis for clinical applications",

abstract = "Harnessing the potential of microbiota analysis creates new opportunities in diagnosing diseases, improving treatment efficacy, reducing treatment complications and preventing disease recurrence. However, microbiota analysis has not yet been integrated into clinical management workflows. Here, we discuss crucial characteristics of microbiota analysis systems for clinical translation.",

author = "Lee, \{Jyong Huei\} and Chin, \{Siew Mei\} and Mach, \{Kathleen E.\} and Bobenchik, \{April M.\} and Liao, \{Joseph C.\} and Samuel Yang and Wong, \{Pak Kin\}",

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AU - Lee, Jyong Huei

AU - Chin, Siew Mei

AU - Mach, Kathleen E.

AU - Bobenchik, April M.

AU - Liao, Joseph C.

AU - Yang, Samuel

AU - Wong, Pak Kin

N1 - Publisher Copyright: © Springer Nature Limited 2024.

PY - 2024/4

Y1 - 2024/4

N2 - Harnessing the potential of microbiota analysis creates new opportunities in diagnosing diseases, improving treatment efficacy, reducing treatment complications and preventing disease recurrence. However, microbiota analysis has not yet been integrated into clinical management workflows. Here, we discuss crucial characteristics of microbiota analysis systems for clinical translation.

AB - Harnessing the potential of microbiota analysis creates new opportunities in diagnosing diseases, improving treatment efficacy, reducing treatment complications and preventing disease recurrence. However, microbiota analysis has not yet been integrated into clinical management workflows. Here, we discuss crucial characteristics of microbiota analysis systems for clinical translation.

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U2 - 10.1038/s44222-024-00168-3

DO - 10.1038/s44222-024-00168-3

M3 - Comment/debate

AN - SCOPUS:86000014985

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EP - 286

JO - Nature Reviews Bioengineering

JF - Nature Reviews Bioengineering

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Translating microbiota analysis for clinical applications

Abstract

All Science Journal Classification (ASJC) codes

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