Evidence map›Paper›PMID 38818125›Full record

ArticleBioengineering & translational medicine2024

Non-contact immunological signaling for highly-efficient regulation of the transcriptional map of human monocytes.

Dina Hashoul, Walaa Saliba, Yoav Y Broza, Hossam Haick

Abstract read
In one paragraph

Article in Bioengineering & translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Dina HashoulDepartment of Chemical Engineering and Russell Berrie Nanotechnology Institute Technion - Israel Institute of Technology Haifa Israel.
Walaa SalibaDepartment of Chemical Engineering and Russell Berrie Nanotechnology Institute Technion - Israel Institute of Technology Haifa Israel.
Yoav Y BrozaDepartment of Chemical Engineering and Russell Berrie Nanotechnology Institute Technion - Israel Institute of Technology Haifa Israel.
Hossam HaickDepartment of Chemical Engineering and Russell Berrie Nanotechnology Institute Technion - Israel Institute of Technology Haifa Israel.ORCID https://orcid.org/0000-0002-2370-4073

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The different immune system cells communicate and coordinate a response using a complex and evolved language of cytokines and chemokines. These cellular interactions carry out multiple functions in distinct cell types with numerous developmental outcomes. Despite the plethora of different cytokines and their cognate receptors, there is a restricted number of signal transducers and activators to control immune responses. Herein, we report on a new class of immunomodulatory signaling molecules based on volatile molecules (VMs, namely, volatile organic compounds [VOCs]), by which they can affect and/or control immune cell behavior and transcriptomic profile without any physical contact with other cells. The study demonstrates the role of VMs by analyzing non-contact cell communication between normal and cancerous lung cells and U937 monocytes, which are key players in the tumor microenvironment. Integrated transcriptome and proteome analyses showed the suggested regulatory role of VMs released from normal and cancer cells on neighboring monocytes in several molecular pathways, including PI3K/AKT, PPAR, and HIF-1. Presented data provide an initial platform for a new class of immunomodulatory molecules that can potentially mirror the genomic and proteomic profile of cells, thereby paving the way toward non-invasive immunomonitoring.

Indexed as

cell communicationmonocytenon‐contactsignalingvolatile organic compound

Identifiers

PMID38818125
PMCPMC11135151

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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.