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Jul 25, 2024;14 (8):

Nanosensor-Enabled Detection and Identification of Intracellular Bacterial Infections in Macrophages.

Aritra Nath Chattopadhyay, Mingdi Jiang, Jessa Marie V Makabenta, Jungmi Park, Yingying Geng, Vincent Rotello
Author Information
  1. Aritra Nath Chattopadhyay: Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, MA 01003, USA.
  2. Mingdi Jiang: Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, MA 01003, USA. ORCID
  3. Jessa Marie V Makabenta: Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, MA 01003, USA. ORCID
  4. Jungmi Park: Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, MA 01003, USA. ORCID
  5. Yingying Geng: Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, MA 01003, USA.
  6. Vincent Rotello: Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, MA 01003, USA. ORCID
PMID: 39194589 DOI: 10.3390/bios14080360

Abstract

Opportunistic bacterial pathogens can evade the immune response by residing and reproducing within host immune cells, including macrophages. These intracellular infections provide reservoirs for pathogens that enhance the progression of infections and inhibit therapeutic strategies. Current sensing strategies for intracellular infections generally use immunosensing of specific biomarkers on the cell surface or polymerase chain reaction (PCR) of the corresponding nucleic acids, making detection difficult, time-consuming, and challenging to generalize. intracellular infections can induce changes in macrophage glycosylation, providing a potential strategy for signature-based detection of intracellular infections. We report here the detection of bacterial infection in macrophages using a boronic acid (BA)-based pH-responsive polymer sensor array engineered to distinguish mammalian cell phenotypes by their cell surface glycosylation signatures. The sensor was able to discriminate between different infecting bacteria in minutes, providing a promising tool for diagnostic and screening applications.

Keywords

cell surface phenotypic changes chemical nose sensing intracellular infection macrophage infection synthetic polymeric sensor array

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Grants

  1. R01 AI134770/NIAID NIH HHS
  2. R01 DK121351/NIDDK NIH HHS
  3. DK121351 and AI134770/NIH HHS

MeSH Term

Macrophages
Biosensing Techniques
Bacterial Infections
Humans
Animals
Boronic Acids
Hydrogen-Ion Concentration
Glycosylation

Chemicals

Boronic Acids
Journal Article

Word Cloud

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