Evidence map›Paper›PMID 35141736›Full record

ArticleChemical communications (Cambridge, England)2022

An array-based nanosensor for detecting cellular responses in macrophages induced by femtomolar levels of pesticides.

Mingdi Jiang, Aritra Nath Chattopadhyay, Yingying Geng, Vincent M Rotello

Abstract read
In one paragraph

Article in Chemical communications (Cambridge, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
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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

4 authors.

Mingdi JiangDepartment of Chemistry, University of Massachusetts Amherst, 710 N. Pleasant St, Amherst, MA 01003, USA. rotello@umass.edu.ORCID http://orcid.org/0000-0002-4742-405X
Aritra Nath ChattopadhyayDepartment of Chemistry, University of Massachusetts Amherst, 710 N. Pleasant St, Amherst, MA 01003, USA. rotello@umass.edu.
Yingying GengDepartment of Chemistry, University of Massachusetts Amherst, 710 N. Pleasant St, Amherst, MA 01003, USA. rotello@umass.edu.
Vincent M RotelloDepartment of Chemistry, University of Massachusetts Amherst, 710 N. Pleasant St, Amherst, MA 01003, USA. rotello@umass.edu.ORCID http://orcid.org/0000-0002-5184-5439

Funding

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
NIDDK NIH HHS R01 DK121351
6 · The paper itself

Abstract

Environmental agents can induce cellular responses at concentrations far below the limits of detection for current viability and biomarker-based cell sensing platforms. Hypothesis-free cell sensor platforms can be engineered to maximize sensitivity to phenotypic changes, providing a tool for lowering the threshold for detecting cellular changes. Pesticides are one of the most prevalent sources of chemical exposure due to their use in food and agriculture fields. We report here a FRET-based nanosensor array engineered to maximize responses to changes at cell surfaces after pesticide exposure. This sensor array robustly detected macrophage responses to femtomolar concentrations of common pesticides-orders of magnitude lower concentrations than traditional toxicological and biomarker-based strategies. Significantly, this platform was able to classify these responses by pesticide class, demonstrating the ability to distinguish between changes induced by these different agents. Taken together, hypothesis-free cell surface sensing is a promising tool for detecting the effects of ultra-trace environmental chemicals on human health, as well as detecting threshold responses for use in drug discovery and diagnostics.

Indexed as

Fluorescence Resonance Energy TransferHumansMacrophagesPesticidesPesticides

Identifiers

PMID35141736
PMCPMC10587896

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Registered trials

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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.