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Synthetic molecular recognition nanosensor paint for microalbuminuria

Author

Listed:
  • Januka Budhathoki-Uprety

    (Memorial Sloan Kettering Cancer Center
    North Carolina State University)

  • Janki Shah

    (Memorial Sloan Kettering Cancer Center)

  • Joshua A. Korsen

    (Memorial Sloan Kettering Cancer Center
    Weill Cornell Medical College)

  • Alysandria E. Wayne

    (Memorial Sloan Kettering Cancer Center
    Washington University in St. Louis)

  • Thomas V. Galassi

    (Memorial Sloan Kettering Cancer Center
    Weill Cornell Medical College)

  • Joseph R. Cohen

    (Memorial Sloan Kettering Cancer Center)

  • Jackson D. Harvey

    (Memorial Sloan Kettering Cancer Center
    Weill Cornell Medical College)

  • Prakrit V. Jena

    (Memorial Sloan Kettering Cancer Center)

  • Lakshmi V. Ramanathan

    (Memorial Sloan Kettering Cancer Center)

  • Edgar A. Jaimes

    (Memorial Sloan Kettering Cancer Center
    Weill Cornell Medical College)

  • Daniel A. Heller

    (Memorial Sloan Kettering Cancer Center
    Weill Cornell Medical College)

Abstract

Microalbuminuria is an important clinical marker of several cardiovascular, metabolic, and other diseases such as diabetes, hypertension, atherosclerosis, and cancer. The accurate detection of microalbuminuria relies on albumin quantification in the urine, usually via an immunoturbidity assay; however, like many antibody-based assessments, this method may not be robust enough to function in global health applications, point-of-care assays, or wearable devices. Here, we develop an antibody-free approach using synthetic molecular recognition by constructing a polymer to mimic fatty acid binding to the albumin, informed by the albumin crystal structure. A single-walled carbon nanotube, encapsulated by the polymer, as the transduction element produces a hypsochromic (blue) shift in photoluminescence upon the binding of albumin in clinical urine samples. This complex, incorporated into an acrylic material, results in a nanosensor paint that enables the detection of microalbuminuria in patient samples and comprises a rapid point-of-care sensor robust enough to be deployed in resource-limited settings.

Suggested Citation

  • Januka Budhathoki-Uprety & Janki Shah & Joshua A. Korsen & Alysandria E. Wayne & Thomas V. Galassi & Joseph R. Cohen & Jackson D. Harvey & Prakrit V. Jena & Lakshmi V. Ramanathan & Edgar A. Jaimes & D, 2019. "Synthetic molecular recognition nanosensor paint for microalbuminuria," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11583-1
    DOI: 10.1038/s41467-019-11583-1
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