Evidence map›Paper›PMID 39194589›Full record

ArticleBiosensors2024

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

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Advances in nucleic acid delivery strategies for diabetic wound therapy.Journal of clinical & translational endocrinology · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Aritra Nath ChattopadhyayDepartment of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, MA 01003, USA.
Mingdi JiangDepartment of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, MA 01003, USA.ORCID 0000-0002-4742-405X
Jessa Marie V MakabentaDepartment of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, MA 01003, USA.ORCID 0000-0002-2062-7914
Jungmi ParkDepartment of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, MA 01003, USA.ORCID 0000-0002-9177-4559
Yingying GengDepartment of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, MA 01003, USA.
Vincent RotelloDepartment of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, MA 01003, USA.ORCID 0000-0002-5184-5439

Funding

Engineered Polymer Nanoemulsions for Treatment of Wound Biofilm InfectionsR01AI134770 · NIAID · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Robin Patel, VINCENT M. ROTELLO · 2018 to 2026
$3.5M
Rapid Multi-Channel Serum Profiling for Liver Disease using Fluorescent NanosensorsR01DK121351 · NIDDK · UNIVERSITY OF MASSACHUSETTS AMHERST · PI VINCENT M. ROTELLO · 2020 to 2026
$3.1M
NIAID NIH HHS R01 AI134770NIDDK NIH HHS R01 DK121351NIH HHS DK121351 and AI134770
6 · The paper itself

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.

Indexed as

Biosensing TechniquesMacrophagesAnimalsBacterial InfectionsBoronic AcidsGlycosylationHumansHydrogen-Ion ConcentrationBoronic Acidscell surface phenotypic changeschemical nose sensingintracellular infectionmacrophage infectionsynthetic polymeric sensor array

Identifiers

PMID39194589
PMCPMC11352223

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.