Back

Leveraging tissue-resident memory T cells for non-invasive immune monitoring via microneedle skin patches

Jalili, S.; Hosn, R. R.; Ko, W.-C.; Afshari, K.; Dhinakaran, A. K.; Chaudhary, N.; Maiorino, L.; Haddadi, N.; Nathan, A.; Getz, M. A.; Gaiha, G. D.; Rashighi, M.; Harris, J. E.; Hammond, P. T.; Irvine, D. J.

2025-03-21 allergy and immunology
10.1101/2025.03.17.25324099 medRxiv
Show abstract

Detecting antigen-specific lymphocytes is crucial for immune monitoring in the setting of vaccination, infectious disease, cancer, and autoimmunity. However, their low frequency and dispersed distribution across lymphoid organs, peripheral tissues, and blood pose challenges for reliable detection. To address this issue, we developed a strategy exploiting the functions of tissue-resident memory T cells (TO_SCPLOWRMC_SCPLOWs) to concentrate target circulating immune cells in the skin and then sample these cells non-invasively using a microneedle (MN) skin patch. TO_SCPLOWRMC_SCPLOWs were first induced at a selected skin site through initial sensitization with a selected antigen. Subsequently, these TO_SCPLOWRMC_SCPLOWs were restimulated by intradermal inoculation of a small quantity of the same antigen to trigger the "alarm" and immune recruitment functions of these cells, leading to accumulation of antigen-specific T cells from the circulation over several days. In mouse models of vaccination, we show that application of MN patches coated with an optimized hydrogel layer for cell and fluid sampling to this skin site allowed effective isolation of thousands of live antigen-specific lymphocytes as well as innate immune cells. In a human subject with allergic contact dermatitis, stimulation of TO_SCPLOWRMC_SCPLOWs with allergen followed by MN patch application allowed the recovery of diverse lymphocyte populations that were absent from untreated skin sites. These results suggest that TO_SCPLOWRMC_SCPLOW restimulation coupled with microneedle patch sampling can be used to obtain a window into both local and systemic antigen-specific immune cell populations in a noninvasive manner that could be readily applied to a wide range of disease or vaccination settings.

Published in Nature Biomedical Engineering (predicted rank #16) · training set

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.