A CRISPR-based assay for the detection of opportunistic infections post-transplantation and for the monitoring of transplant rejection
| Autor: | Leonardo V. Riella, Enver Akalin, Isadora T. Lape, Michael M. Kaminski, Verena Klämbt, James J. Collins, Jamil Azzi, Robert Greensmith, Jacqueline A. Valeri, Francisco M. Marty, Allison C. Huske, Miguel A. Alcantar |
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| Přispěvatelé: | Massachusetts Institute of Technology. Institute for Medical Engineering & Science, Broad Institute of MIT and Harvard |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
medicine.medical_specialty Point-of-care testing medicine.medical_treatment Biomedical Engineering Medicine (miscellaneous) Bioengineering Urine Organ transplantation 03 medical and health sciences 0302 clinical medicine Medicine Renal replacement therapy Kidney business.industry Immunosuppression medicine.disease Computer Science Applications Transplant rejection Transplantation 030104 developmental biology medicine.anatomical_structure surgical procedures operative Immunology business 030217 neurology & neurosurgery Biotechnology |
| Zdroj: | Prof. Collins via Howard Silver |
| Popis: | In organ transplantation, infection and rejection are major causes of graft loss. They are linked by the net state of immunosuppression. To diagnose and treat these conditions earlier, and to improve long-term patient outcomes, refined strategies for the monitoring of patients after graft transplantation are needed. Here, we show that a fast and inexpensive assay based on CRISPR–Cas13 accurately detects BK polyomavirus DNA and cytomegalovirus DNA from patient-derived blood and urine samples, as well as CXCL9 messenger RNA (a marker of graft rejection) at elevated levels in urine samples from patients experiencing acute kidney transplant rejection. The assay, which we adapted for lateral-flow readout, enables—via simple visualization—the post-transplantation monitoring of common opportunistic viral infections and of graft rejection, and should facilitate point-of-care post-transplantation monitoring. National Science Foundation (Award 1122374) |
| Databáze: | OpenAIRE |
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