Evidence map›Paper›PMID 34983927›Full record

ArticleCell discovery2022

A multivariate modeling framework to quantify immune checkpoint context-dependent stimulation on T cells.

Léa Karpf, Coline Trichot, Lilith Faucheux, Iris Legbre, Maximilien Grandclaudon, Charlotte Lahoute, Hamid Mattoo, Benoit Pasquier, Vassili Soumelis

Abstract read
In one paragraph

Article in Cell discovery, 2022. 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. Review
  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

9 authors.

Léa Karpf *Institut Curie, PSL University, INSERM U932, Paris, France.
Coline Trichot *Institut Curie, PSL University, INSERM U932, Paris, France.
Lilith FaucheuxUniversité de Paris, Institut de Recherche Saint-Louis, INSERM U976, Paris, France.ORCID http://orcid.org/0000-0002-2219-1675
Iris LegbreUniversité de Paris, Institut de Recherche Saint-Louis, INSERM U976, Paris, France.
Maximilien GrandclaudonInstitut Curie, PSL University, INSERM U932, Paris, France.
Charlotte LahouteImmunology and Inflammation Therapeutic Area, Sanofi, Vitry-sur-Seine, France.
Hamid MattooImmunology and Inflammation Therapeutic Area, Sanofi, Cambridge, MA, USA.
Benoit PasquierImmunology and Inflammation Therapeutic Area, Sanofi, Vitry-sur-Seine, France.
Vassili SoumelisInstitut Curie, PSL University, INSERM U932, Paris, France. vassili.soumelis@aphp.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cells receive, and adjust to, various stimuli, which function as part of complex microenvironments forming their "context". The possibility that a given context impacts the response to a given stimulus defines "context-dependency" and it explains large parts of the functional variability of physiopathological and pharmacological stimuli. Currently, there is no framework to analyze and quantify context-dependency over multiple contexts and cellular response outputs. We established an experimental system including a stimulus of interest, applied to an immune cell type in several contexts. We studied the function of OX40 ligand (OX40L) on T helper (Th) cell differentiation, in 4 molecular (Th0, Th1, Th2, and Th17) and 11 dendritic cell (DC) contexts (monocyte-derived DC and cDC2 conditions). We measured 17 Th output cytokines in 302 observations, and developed a statistical modeling strategy to quantify OX40L context-dependency. This revealed highly variable context-dependency, depending on the output cytokine and context type itself. Among molecular contexts, Th2 was the most influential on OX40L function. Among DC contexts, the DC type rather than the activating stimuli was dominant in controlling OX40L context-dependency. This work mathematically formalizes the complex determinants of OX40L functionality, and provides a unique framework to decipher and quantify the context-dependent variability of any biomolecule or drug function.

Identifiers

PMID34983927
PMCPMC8727669

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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.