Evidence map›Paper›PMID 40821838›Full record

ReviewFrontiers in immunology2025

Fine-tuning immunity: ubiquitin-dependent regulation of interleukin-17A expression by Th17 cells.

Desh Raj, Amit K Verma, Risha Mathur, Jenna Woody, Mahesh Kathania, K Venuprasad

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. [Ubiquitination-mediated regulation of T cell homeostasis and autoimmune diseases].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    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

6 authors.

Desh RajDepartment of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States.
Amit K VermaDepartment of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States.
Risha MathurDepartment of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States.
Jenna WoodyDepartment of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States.
Mahesh KathaniaDepartment of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States.
K VenuprasadDepartment of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interleukin-17A (IL-17A) is a pro-inflammatory cytokine that plays a pivotal role in immune responses, particularly in the pathogenesis of various autoimmune diseases and infections. Recent advances have highlighted the significance of post-translational modifications, particularly ubiquitination, in regulating IL-17A expression and IL-17A receptor signaling pathways. Here, we summarize the intricate relationship between IL-17A and ubiquitination, exploring how ubiquitin-mediated processes influence IL-17A production, receptor signaling, and downstream effector functions. We provide insights into the potential therapeutic implications of targeting IL-17A and its ubiquitination pathways in inflammatory diseases and autoimmune disorders. A clear understanding of this relationship could pave the way for novel strategies in immune modulation, potentially enhancing management and treatment efficacy in various human diseases.

Indexed as

Gene Expression RegulationInterleukin-17Th17 CellsUbiquitinAnimalsAutoimmune DiseasesHumansProtein Processing, Post-TranslationalSignal TransductionUbiquitinationIL17A protein, humanInterleukin-17UbiquitindeubiquitinationE3 ligasesIL-17ARORgtubiquitination

Identifiers

PMID40821838
PMCPMC12355048

What OpenQuestion holds

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LicenceCC BY
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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.