Evidence map›Paper›PMID 36592512›Full record

ReviewJournal of autoimmunity2023

Non-coding RNAs in immunoregulation and autoimmunity: Technological advances and critical limitations.

Dhaneshwar Kumar, Subhransu Sekhar Sahoo, Daniel Chauss, Majid Kazemian, Behdad Afzali

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of autoimmunity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Mechanistic insights into HAGLROS-mediated therapy resistance in ovarian cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

5 authors at 2 institutions in 1 country.

Dhaneshwar KumarImmunoregulation Section, Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), NIH, Bethesda, MD, USA.
Subhransu Sekhar SahooDepartments of Biochemistry and Computer Science, Purdue University, West Lafayette, IN, USA.
Daniel ChaussImmunoregulation Section, Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), NIH, Bethesda, MD, USA.
Majid KazemianDepartments of Biochemistry and Computer Science, Purdue University, West Lafayette, IN, USA.
Behdad AfzaliImmunoregulation Section, Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), NIH, Bethesda, MD, USA. Electronic address: behdad.afzali@nih.gov.
National Institute of Diabetes and Digestive and Kidney Diseases · USPurdue University West Lafayette · US

Funding

Transgenic Mouse Core Facility Shared Resource (TMCF-SR)P30CA023168 · NCI · PURDUE UNIVERSITY WEST LAFAYETTE · PI John Tesmer · 1985 to 2026
$43.4M
Unravelling immunoregulatory circuits of tissue inflammationZIADK075149 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI AFZALI, BEHDAD · 2019 to 2025
$19.3M
Joint submission for administrative supplement proposal: HIPAA aligned storage and computing solutionR35GM138283 · NIGMS · PURDUE UNIVERSITY · PI KAZEMIAN, MAJID · 2020 to 2024
$2.0M
Intramural NIH HHS ZIA DK075149NCI NIH HHS P30 CA023168NIGMS NIH HHS R35 GM138283
6 · The paper itself

Abstract

Immune cell function is critically dependent on precise control over transcriptional output from the genome. In this respect, integration of environmental signals that regulate gene expression, specifically by transcription factors, enhancer DNA elements, genome topography and non-coding RNAs (ncRNAs), are key components. The first three have been extensively investigated. Even though non-coding RNAs represent the vast majority of cellular RNA species, this class of RNA remains historically understudied. This is partly because of a lag in technological and bioinformatic innovations specifically capable of identifying and accurately measuring their expression. Nevertheless, recent progress in this domain has enabled a profusion of publications identifying novel sub-types of ncRNAs and studies directly addressing the function of ncRNAs in human health and disease. Many ncRNAs, including circular and enhancer RNAs, have now been demonstrated to play key functions in the regulation of immune cells and to show associations with immune-mediated diseases. Some ncRNAs may function as biomarkers of disease, aiding in diagnostics and in estimating response to treatment, while others may play a direct role in the pathogenesis of disease. Importantly, some are relatively stable and are amenable to therapeutic targeting, for example through gene therapy. Here, we provide an overview of ncRNAs and review technological advances that enable their study and hold substantial promise for the future. We provide context-specific examples by examining the associations of ncRNAs with four prototypical human autoimmune diseases, specifically rheumatoid arthritis, psoriasis, inflammatory bowel disease and multiple sclerosis. We anticipate that the utility and mechanistic roles of these ncRNAs in autoimmunity will be further elucidated in the near future.

Indexed as

Arthritis, RheumatoidAutoimmune DiseasesMultiple SclerosisAutoimmunityHumansRNA, UntranslatedRNA, UntranslatedAutoimmunityCircular RNAEnhancer RNANon-coding RNAPsoriasisRheumatoid arthritisSingle cell RNA-Sequencing

Identifiers

PMID36592512
PMCPMC9908861
OpenAlexW4313442853

What OpenQuestion holds

Textmetadata
LicenceTDM
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.