Evidence map›Paper›PMID 34485536›Full record

ReviewJournal of immunology research2021

Potential Roles of Exosomal lncRNAs in the Intestinal Mucosal Immune Barrier.

Shanshan Chen, Ruonan He, Beihui He, Li Xu, Shuo Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Journal of immunology research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 34% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

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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 1 institution in 1 country.

Shanshan ChenThe First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310006, China.ORCID https://orcid.org/0000-0001-6433-2184
Ruonan HeThe First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310006, China.ORCID https://orcid.org/0000-0002-4167-885X
Beihui HeThe First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310006, China.ORCID https://orcid.org/0000-0001-6170-8481
Li XuThe First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310006, China.ORCID https://orcid.org/0000-0002-6750-9077
Shuo ZhangThe First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310006, China.ORCID https://orcid.org/0000-0003-1120-5872
Zhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intestinal mucosal immune barrier protects the host from the invasion of foreign pathogenic microorganisms. Immune cells and cytokines in the intestinal mucosa maintain local and systemic homeostasis by participating in natural and adaptive immunity. Deficiency of the intestinal mucosal immune barrier is associated with a variety of intestinal illnesses. Exosomes are phospholipid bilayer nanovesicles that allow cell-cell communication by secreting physiologically active substances including proteins, lipids, transcription factors, mRNAs, micro-RNAs (miRNAs), and long noncoding RNAs (lncRNAs). Exosomal lncRNAs are involved in immune cell differentiation and the modulation of the immune response. This review briefly introduces the potential role of exosomal lncRNAs in the intestinal mucosal immune barrier and discusses their relevance to intestinal illnesses.

Indexed as

AnimalsDisease Models, AnimalExosomesGene Expression RegulationHumansImmunity, MucosalIntestinal DiseasesIntestinal MucosaRNA, Long NoncodingSeverity of Illness IndexRNA, Long Noncoding

Identifiers

PMID34485536
PMCPMC8413039
OpenAlexW3194700058

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.