Evidence map›Paper›PMID 32010153›Full record

ArticleFrontiers in immunology2019

Differentiation of Pathogenic Th17 Cells Is Negatively Regulated by Let-7 MicroRNAs in a Mouse Model of Multiple Sclerosis.

Constance C Angelou, Alexandria C Wells, Jyothi Vijayaraghavan, Carey E Dougan, Rebecca Lawlor, Elizabeth Iverson, Vanja Lazarevic, Motoko Y Kimura, Shelly R Peyton, Lisa M Minter and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Th17 cell pathogenicity in autoimmune disease.Experimental & molecular medicine · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Downregulation ofeLife · 2024
    Article
  16. Review
  17. Downregulation ofbioRxiv : the preprint server for biology · 2024
    Article
  18. Review
  19. Article
  20. 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

13 authors at 3 institutions in 2 countries.

Constance C AngelouDepartment of Veterinary and Animal Sciences, University of Massachusetts, Amherst, MA, United States.
Alexandria C WellsDepartment of Veterinary and Animal Sciences, University of Massachusetts, Amherst, MA, United States.
Jyothi VijayaraghavanDepartment of Veterinary and Animal Sciences, University of Massachusetts, Amherst, MA, United States.
Carey E DouganDepartment of Chemical Engineering, University of Massachusetts, Amherst, MA, United States.
Rebecca LawlorDepartment of Veterinary and Animal Sciences, University of Massachusetts, Amherst, MA, United States.
Elizabeth IversonDepartment of Veterinary and Animal Sciences, University of Massachusetts, Amherst, MA, United States.
Vanja LazarevicExperimental Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
Motoko Y KimuraDepartment of Immunology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Shelly R PeytonDepartment of Chemical Engineering, University of Massachusetts, Amherst, MA, United States.
Lisa M MinterDepartment of Veterinary and Animal Sciences, University of Massachusetts, Amherst, MA, United States.
Barbara A OsborneDepartment of Veterinary and Animal Sciences, University of Massachusetts, Amherst, MA, United States.
Elena L PobezinskayaDepartment of Veterinary and Animal Sciences, University of Massachusetts, Amherst, MA, United States.
Leonid A PobezinskyDepartment of Veterinary and Animal Sciences, University of Massachusetts, Amherst, MA, United States.
University of Massachusetts Amherst · USChiba University · JPNational Institutes of Health · US

Funding

Defining post-transcriptional mechanisms that control CD8 T cell longevity, proliferation and differentiationR01AI146188 · NIAID · UNIVERSITY OF MASSACHUSETTS AMHERST · PI POBEZINSKIY, LEONID · 2020 to 2024
$2.7M
Defining the role of let-7 miRNAs in the differentiation of exhausted and memory T cellsR21AI133041 · NIAID · UNIVERSITY OF MASSACHUSETTS AMHERST · PI POBEZINSKIY, LEONID · 2018 to 2019
$444k
NIAID NIH HHS R01 AI146188NIAID NIH HHS R21 AI133041
6 · The paper itself

Abstract

Multiple sclerosis (MS) is a disabling demyelinating autoimmune disorder of the central nervous system (CNS) which is driven by IL-23- and IL-1β-induced autoreactive Th17 cells that traffic to the CNS and secrete proinflammatory cytokines. Th17 pathogenicity in MS has been correlated with the dysregulation of microRNA (miRNA) expression, and specific miRNAs have been shown to promote the pathogenic Th17 phenotype. In the present study, we demonstrate, using the animal model of MS, experimental autoimmune encephalomyelitis (EAE), that let-7 miRNAs confer protection against EAE by negatively regulating the proliferation, differentiation and chemokine-mediated migration of pathogenic Th17 cells to the CNS. Specifically, we found that let-7 miRNAs may directly target the cytokine receptors

Indexed as

Disease SusceptibilityAnimalsCD4-Positive T-LymphocytesCell DifferentiationCytokinesDisease Models, AnimalEncephalomyelitis, Autoimmune, ExperimentalGene Expression RegulationImmunophenotypingLymphocyte ActivationMiceMicroRNAsMultiple SclerosisRNA InterferenceTh17 CellsCytokinesMicroRNAsmirnlet7 microRNA, mouseCCR2CCR5CD4EAEIL-1R1IL-23RmiRNA

Identifiers

PMID32010153
PMCPMC6978752
OpenAlexW3000049327

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.