Evidence map›Paper›PMID 38549534›Full record

ReviewCurrent medicinal chemistry2025

LncRNA XIST: A Breakthrough in Inflammation-related Diseases.

Hailin Wang, Lijun Wang, Yiyang Luo, Yibei Gui, Wei Wu, Jiale Zhao, Xueqing Li, Ruisi Xiong, Yumin He, Ding Yuan and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current medicinal chemistry, 2025. 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
1.4field-weighted citation impact, top 19% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The in vivo effects of knockdown of long non-coding RNA XIST on fibroid growth and gene expression.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
  5. 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

11 authors at 2 institutions in 1 country.

Hailin WangThird-Grade Pharmacological Laboratory on Chinese, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China.
Lijun WangThird-Grade Pharmacological Laboratory on Chinese, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China.
Yiyang LuoThird-Grade Pharmacological Laboratory on Chinese, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China.
Yibei GuiThird-Grade Pharmacological Laboratory on Chinese, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China.
Wei WuThird-Grade Pharmacological Laboratory on Chinese, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China.
Jiale ZhaoThird-Grade Pharmacological Laboratory on Chinese, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China.
Xueqing LiThird-Grade Pharmacological Laboratory on Chinese, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China.
Ruisi XiongThird-Grade Pharmacological Laboratory on Chinese, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China.
Yumin HeThird-Grade Pharmacological Laboratory on Chinese, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China.
Ding YuanThird-Grade Pharmacological Laboratory on Chinese, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China.
Chengfu YuanThird-Grade Pharmacological Laboratory on Chinese, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China.
China Three Gorges University · CNState Administration of Traditional Chinese Medicine of the People's Republic of China · CN

Funding

Central Funds Guiding the Local Science and Technology Development 2020ZYYD016innovational group project of Hubei Province Natural Science Foundation in China 2021CFA015National Natural Science Foundation of China 81974528, 82174035, 82374107, 81773959Open Foundation for Tumor Microenvironment and Immunotherapy Key Laboratory of Hubei province in China 2023KZL01
6 · The paper itself

Abstract

backgroundLong non-coding RNA (LncRNA) is a type of non-coding RNA that plays an important role in the body and accounts for the majority of RNA, and this non-coding RNA can regulate disease onset and progression with its wide range of functions. LncRNA Xist, also known as the long non-coding RNA X inactive specific transcript, is a member of them. It can regulate the development of organismal diseases by acting downstream on specific target genes. In addition to this, it can also influence disease onset and progression by acting on apoptosis, migration, invasion, and other processes. It has been shown that XIST plays an important role in the development of inflammation.

objectiveTo explore the role played by XIST in inflammation-related diseases and to explore its mechanism of action.

methodsThis paper summarizes and analyzes the role played by XIST in inflammation- related diseases by conducting a search in PubMed.

conclusionIn this paper, we summarize the mechanism of action of XIST in different types of inflammation-related diseases and propose new protocols for the future clinical treatment of these diseases.

Indexed as

InflammationRNA, Long NoncodingAnimalsHumansRNA, Long NoncodingXIST non-coding RNAceRNAinflammationLong non-coding RNAmechanism.miRNAXIST

Identifiers

PMID38549534
OpenAlexW4393321950

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.