On-patient medical record and mRNA therapeutics using intradermal microneedles

Medical interventions often require timed series of doses, thus necessitating accurate medical record-keeping. In many global settings, these records are unreliable or unavailable at the point of care, leading to less effective treatments or disease prevention. Here we present an invisible-to-the-naked-eye on-patient medical record-keeping technology that accurately stores medical information in the patient skin as part of microneedles that are used for intradermal therapeutics. We optimize the microneedle design for both a reliable delivery of messenger RNA (mRNA) therapeutics and the near-infrared fluorescent microparticles that encode the on-patient medical record-keeping. Deep learning-based image processing enables encoding and decoding of the information with excellent temporal and spatial robustness. Long-term studies in a swine model demonstrate the safety, efficacy and reliability of this approach for the co-delivery of on-patient medical record-keeping and the mRNA vaccine encoding severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This technology could help healthcare workers make informed decisions in circumstances where reliable record-keeping is unavailable, thus contributing to global healthcare equity.

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Publication Details

Journal
Nature Materials
Published
2025-02-24
DOI
https://doi.org/10.1038/s41563-024-02115-4
Citations
28
Primary Topic
Advancements in Transdermal Drug Delivery
Type
article
Field-Weighted Citation Impact
22.14

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article

On-patient medical record and mRNA therapeutics using intradermal microneedles

Linzixuan Zhang, Sydney L. Pyon, Alexandra Lau, Lisa H. Tostanoski et al.
28 citations
Nature Materials
Advancements in Transdermal Drug Delivery
22.14
article

On-patient medical record and mRNA therapeutics using intradermal microneedles

Linzixuan Zhang, Sydney L. Pyon, Alexandra Lau, Lisa H. Tostanoski, L. Campbell Levy, Shahad K. Alsaiari, Sebastian E. Carrasco, Jooli Han, Róbert Langer, Maria Kanelli, Behnaz Eshaghi, Collin F. Perkinson, Dan H. Barouch, Khanh T. M. Tran, Apurva Pardeshi, Ana Jaklenec, John L. Daristotle, Timothy A. Forster, Ari Karchin, Erika Yan Wang, Frédo Durand, Lukas Murmann, Yang Liu, Stacey Qiaohui Lin, Moungi G. Bawendi, Charles Sloane, Brandon Folk
article en
28 citations

Abstract

Medical interventions often require timed series of doses, thus necessitating accurate medical record-keeping. In many global settings, these records are unreliable or unavailable at the point of care, leading to less effective treatments or disease prevention. Here we present an invisible-to-the-naked-eye on-patient medical record-keeping technology that accurately stores medical information in the patient skin as part of microneedles that are used for intradermal therapeutics. We optimize the microneedle design for both a reliable delivery of messenger RNA (mRNA) therapeutics and the near-infrared fluorescent microparticles that encode the on-patient medical record-keeping. Deep learning-based image processing enables encoding and decoding of the information with excellent temporal and spatial robustness. Long-term studies in a swine model demonstrate the safety, efficacy and reliability of this approach for the co-delivery of on-patient medical record-keeping and the mRNA vaccine encoding severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This technology could help healthcare workers make informed decisions in circumstances where reliable record-keeping is unavailable, thus contributing to global healthcare equity.

Nature MaterialsVol. 24(5)
Beth Israel Deaconess Medical Center (US), Memorial Sloan Kettering Cancer Center (US), Harvard University (US), Seoul National University (KR), Cornell University (US), Ragon Institute of MGH, MIT and Harvard (US), Bellevue Hospital Center (US), IIT@MIT (US), Intellectual Ventures (United States) (US), Mass General Brigham (US), Massachusetts Institute of Technology (US), Rockefeller University (US)
Bill and Melinda Gates Foundation
Openalex Percentile: Top 0%
Advancements in Transdermal Drug Delivery
22.14
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