Evidence map›Paper›PMID 36418318›Full record

ArticleNPJ systems biology and applications2022

Computational modeling of complex bioenergetic mechanisms that modulate CD4+ T cell effector and regulatory functions.

Ryan Baker, Raquel Hontecillas, Nuria Tubau-Juni, Andrew J Leber, Shiv Kale, Josep Bassaganya-Riera

Open access · goldAbstract read
In one paragraph

Article in NPJ systems biology and applications, 2022. 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
0.8field-weighted citation impact, top 27% of its field
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, 8 citations in OpenAlex.

  1. Review
  2. Circ-CAMTA1 regulated by CaArthritis research & therapy · 2024
    Article
  3. 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

6 authors at 1 institution in 1 country.

Ryan BakerNIMML Institute, Blacksburg, VA, 24061, USA.
Raquel HontecillasNIMML Institute, Blacksburg, VA, 24061, USA.
Nuria Tubau-JuniNIMML Institute, Blacksburg, VA, 24061, USA.
Andrew J LeberNIMML Institute, Blacksburg, VA, 24061, USA.
Shiv KaleNIMML Institute, Blacksburg, VA, 24061, USA.
Josep Bassaganya-RieraNIMML Institute, Blacksburg, VA, 24061, USA. jbassaga@nimml.org.ORCID 0000-0003-2969-2197
Scientific Research Institute of Polymer Material (Russia) · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We built a computational model of complex mechanisms at the intersection of immunity and metabolism that regulate CD4+ T cell effector and regulatory functions by using coupled ordinary differential equations. The model provides an improved understanding of how CD4+ T cells are shaping the immune response during Clostridioides difficile infection (CDI), and how they may be targeted pharmacologically to produce a more robust regulatory (Treg) response, which is associated with improved disease outcomes during CDI and other diseases. LANCL2 activation during CDI decreased the effector response, increased regulatory response, and elicited metabolic changes that favored Treg. Interestingly, LANCL2 activation provided greater immune and metabolic modulation compared to the addition of exogenous IL-2. Additionally, we identified gluconeogenesis via PEPCK-M as potentially responsible for increased immunosuppressive behavior in Treg cells. The model can perturb immune signaling and metabolism within a CD4+ T cell and obtain clinically relevant outcomes that help identify novel drug targets for infectious, autoimmune, metabolic, and neurodegenerative diseases.

Indexed as

CD4-Positive T-LymphocytesT-Lymphocytes, RegulatoryComputer SimulationEnergy Metabolism

Identifiers

PMID36418318
PMCPMC9684137
OpenAlexW4309728439

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.