Evidence map›Paper›PMID 37535805›Full record

ArticleAnalytical chemistry2023

Sensor Array-Enabled Identification of Drugs for Repolarization of Macrophages to Anti-Inflammatory Phenotypes.

Mingdi Jiang, Aritra Nath Chattopadhyay, Taewon Jeon, Xianzhi Zhang, Vincent M Rotello

Abstract read
In one paragraph

Article in Analytical chemistry, 2023. 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. Article
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

5 authors.

Mingdi JiangDepartment of Chemistry, University of Massachusetts Amherst, 710 N. Pleasant Street, Amherst, Massachusetts 01003, United States.ORCID 0000-0002-4742-405X
Aritra Nath ChattopadhyayDepartment of Chemistry, University of Massachusetts Amherst, 710 N. Pleasant Street, Amherst, Massachusetts 01003, United States.
Taewon JeonDepartment of Chemistry, University of Massachusetts Amherst, 710 N. Pleasant Street, Amherst, Massachusetts 01003, United States.ORCID 0000-0003-3840-5129
Xianzhi ZhangDepartment of Chemistry, University of Massachusetts Amherst, 710 N. Pleasant Street, Amherst, Massachusetts 01003, United States.ORCID 0000-0002-9585-7458
Vincent M RotelloDepartment of Chemistry, University of Massachusetts Amherst, 710 N. Pleasant Street, Amherst, Massachusetts 01003, United States.ORCID 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

Macrophages are key components of the innate immune system that have essential functions in physiological processes and diseases. The phenotypic plasticity of macrophages allows cells to be polarized into a multidimensional spectrum of phenotypes, broadly classed as pro-inflammatory (M1) and anti-inflammatory (M2) states. Repolarization of M1 to M2 phenotypes alters the immune response to ameliorate autoimmune and inflammation-associated diseases. Detection of this repolarization, however, is challenging to execute in high-throughput applications. In this work, we demonstrate the ability of a single polymer fabricated to provide a six-channel sensor array that can determine macrophage polarization phenotypes. This sensing platform provides a sensitive and high-throughput tool for detecting drug-induced M1-to-M2 repolarization, allowing the identification of new therapeutic leads for inflammatory diseases. The ability of this sensor array to discriminate different M2 subtypes induced by drugs can also improve the efficacy evaluation of anti-inflammatory drugs and avoid adverse effects.

Indexed as

Anti-Inflammatory AgentsMacrophagesHumansInflammationPhenotypeAnti-Inflammatory Agents

Identifiers

PMID37535805
PMCPMC10612494

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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.