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Translating microbiota analysis for clinical applications

Nature Reviews Bioengineering volume 2, pages 284–286 (2024)Cite this article

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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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Fig. 1: Clinical translation of microbiota analysis.

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Acknowledgements

This research was supported, in part, by the National Institutes of Health (NIH), grant number R01AI153133.

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Authors and Affiliations

  1. Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA

    Jyong-Huei Lee, Siew Mei Chin & Pak Kin Wong

  2. Department of Urology, Stanford University School of Medicine, Stanford, CA, USA

    Kathleen E. Mach & Joseph C. Liao

  3. Department of Pathology and Laboratory Medicine, Penn State Health, Hershey, PA, USA

    April M. Bobenchik

  4. Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA

    Joseph C. Liao

  5. Department of Emergency Medicine, Stanford University School of Medicine, Palo Alto, CA, USA

    Samuel Yang

  6. Department of Mechanical Engineering and Department of Surgery, The Pennsylvania State University, University Park, PA, USA

    Pak Kin Wong

Authors
  1. Jyong-Huei Lee
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All authors contributed equally to the preparation of this manuscript.

Corresponding authors

Correspondence to Joseph C. Liao, Samuel Yang or Pak Kin Wong.

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The authors declare no competing interests.

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Lee, JH., Chin, S.M., Mach, K.E. et al. Translating microbiota analysis for clinical applications. Nat Rev Bioeng 2, 284–286 (2024). https://doi.org/10.1038/s44222-024-00168-3

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