Evidence map›Paper›PMID 33372155›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Tregs self-organize into a computing ecosystem and implement a sophisticated optimization algorithm for mediating immune response.

Robert Marsland, Owen Howell, Andreas Mayer, Pankaj Mehta

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact, top 86% 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

5 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Affinity maturation for an optimal balance between long-term immune coverage and short-term resource constraints.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  5. 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

4 authors at 1 institution in 1 country.

Robert MarslandDepartment of Physics, Boston University, Boston, MA 02215; pankajm@bu.edu marsland@bu.edu.
Owen HowellDepartment of Physics, Boston University, Boston, MA 02215.
Andreas MayerFaculty of Computing and Data Science, Boston University, Boston, MA 02215.ORCID 0000-0002-6643-7622
Pankaj MehtaDepartment of Physics, Boston University, Boston, MA 02215; pankajm@bu.edu marsland@bu.edu.ORCID 0000-0003-1290-5897
Boston University · US

Funding

MODELING EMERGENT BEHAVIORS IN SYSTEMS BIOLOGY: A BIOLOGICAL PHYSICS APPROACHR35GM119461 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Pankaj Mehta · 2016 to 2026
$3.6M
NIGMS NIH HHS R35 GM119461
6 · The paper itself

Abstract

Regulatory T cells (Tregs) play a crucial role in mediating immune response. Yet an algorithmic understanding of the role of Tregs in adaptive immunity remains lacking. Here, we present a biophysically realistic model of Treg-mediated self-tolerance in which Tregs bind to self-antigens and locally inhibit the proliferation of nearby activated T cells. By exploiting a duality between ecological dynamics and constrained optimization, we show that Tregs tile the potential antigen space while simultaneously minimizing the overlap between Treg activation profiles. We find that for sufficiently high Treg diversity, Treg-mediated self-tolerance is robust to fluctuations in self-antigen concentrations but lowering the Treg diversity results in a sharp transition-related to the Gardner transition in perceptrons-to a regime where changes in self-antigen concentrations can result in an autoimmune response. We propose an experimental test of this transition in immune-deficient mice and discuss potential implications for autoimmune diseases.

Indexed as

Adaptive ImmunityAlgorithmsAutoantigensAutoimmune DiseasesAutoimmunityImmune ToleranceLymphocyte ActivationModels, TheoreticalSelf ToleranceT-Lymphocytes, RegulatoryAutoantigensadaptive immunitybiophysicsecologyoptimizationTregs

Identifiers

PMID33372155
PMCPMC7817185
OpenAlexW3106803050

What OpenQuestion holds

Textmetadata
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.