Evidence map›Paper›PMID 39101003›Full record

ArticleMicrosystems & nanoengineering2024

A programmable microfluidic platform to monitor calcium dynamics in microglia during inflammation.

Adam Shebindu, Durga Kaveti, Linda Umutoni, Gia Kirk, Michael D Burton, Caroline N Jones

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Adam ShebinduDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX 75080 USA.
Durga KavetiDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX 75080 USA.
Linda UmutoniDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX 75080 USA.
Gia KirkDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX 75080 USA.
Michael D BurtonDepartment of Neuroscience, University of Texas at Dallas, Richardson, TX 75080 USA.
Caroline N JonesDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX 75080 USA.ORCID 0000-0001-6003-9335

Funding

Mechanisms involved in postoperative recovery: a focus on pain, delirium, and neuroinflammationR35GM147094 · NIGMS · UNIVERSITY OF TEXAS DALLAS · PI Michael D Burton · 2022 to 2026
$1.9M
Microsystems to Decipher Leukocyte Decision-MakingR35GM133610 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI JONES, CAROLINE N. · 2019 to 2023
$1.8M
NIGMS NIH HHS R35 GM133610NIGMS NIH HHS R35 GM147094
6 · The paper itself

Abstract

Neuroinflammation is characterized by the elevation of cytokines and adenosine triphosphate (ATP), which in turn activates microglia. These immunoregulatory molecules typically form gradients in vivo, which significantly influence microglial behaviors such as increasing calcium signaling, migration, phagocytosis, and cytokine secretion. Quantifying microglial calcium signaling in the context of inflammation holds the potential for developing precise therapeutic strategies for neurological diseases. However, the current calcium imaging systems are technically challenging to operate, necessitate large volumes of expensive reagents and cells, and model immunoregulatory molecules as uniform concentrations, failing to accurately replicate the in vivo microenvironment. In this study, we introduce a novel calcium monitoring micro-total analysis system (CAM-μTAS) designed to quantify calcium dynamics in microglia (BV2 cells) within defined cytokine gradients. Leveraging programmable pneumatically actuated lifting gate microvalve arrays and a Quake valve, CAM-μTAS delivers cytokine gradients to microglia, mimicking neuroinflammation. Our device automates sample handling and cell culture, enabling rapid media changes in just 1.5 s, thus streamlining the experimental workflow. By analyzing BV2 calcium transient latency to peak, we demonstrate location-dependent microglial activation patterns based on cytokine and ATP gradients, offering insights contrasting those of non-gradient-based perfusion systems. By harnessing advancements in microsystem technology to quantify calcium dynamics, we can construct simplified human models of neurological disorders, unravel the intricate mechanisms of cell-cell signaling, and conduct robust evaluations of novel therapeutics.

Indexed as

EngineeringNanoscience and technology

Identifiers

PMID39101003
PMCPMC11294448

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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.