Evidence map›Paper›PMID 33539409›Full record

ArticlePloS one2021

Novel three-dimensional biochip pulmonary sarcoidosis model.

Tess M Calcagno, Chongxu Zhang, Runxia Tian, Babak Ebrahimi, Mehdi Mirsaeidi

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Emerging insights in sarcoidosis: moving forward through reverse translational research.American journal of physiology. Lung cellular and molecular physiology · 2022
    Review
  6. 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

5 authors.

Tess M CalcagnoDepartment of Medicine, University of Miami, Miami, FL, United States of America.
Chongxu ZhangDivision of Pulmonary and Critical Care, University of Miami, Miami, FL, United States of America.
Runxia TianDivision of Pulmonary and Critical Care, University of Miami, Miami, FL, United States of America.
Babak EbrahimiResearch and Development, Genix-Engineering, Irvin, California, United States of America.
Mehdi MirsaeidiDivision of Pulmonary and Critical Care, University of Miami, Miami, FL, United States of America.ORCID 0000-0001-5298-8442

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcoidosis is a multi-system disorder of granulomatous inflammation which most commonly affects the lungs. Its etiology and pathogenesis are not well defined in part due to the lack of reliable modeling. Here, we present the development of an in vitro three-dimensional lung-on-chip biochip designed to mimic granuloma formation. A lung on chip fluidic macrodevice was developed and added to our previously developed a lung-on-membrane model (LOMM). Granulomas were cultured from blood samples of patients with sarcoidosis and then inserted in the air-lung-interface of the microchip to create a three-dimensional biochip pulmonary sarcoidosis model (3D BSGM). Cytokines were measured after 48 hours. ELISA testing was performed to measure cytokine response difference between LOMM with 3D BSGM. There were statistically significant differences in IL-1ß (P = 0.001953), IL-6 (P = 0.001953), GM-CSF (P = 0.001953), and INF-γ expressions (P = 0.09375) between two groups. The current model represents the first 3D biochip sarcoidosis model created by adding a microfluidics system to a dual-chambered lung on membrane model and introducing developed sarcoid-granuloma to its air-lung-interface.

Indexed as

Lab-On-A-Chip DevicesBiomimeticsCytokinesHumansLeukocytes, MononuclearSarcoidosis, PulmonaryCytokines

Identifiers

PMID33539409
PMCPMC7861546

What OpenQuestion holds

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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.