Evidence map›Paper›PMID 38699049›Full record

ReviewHeliyon2024

The roles of adenosine signaling in systemic lupus erythematosus.

Ke Dong, Xia-Nan Wu, Ying-Qi Liu, Lan Yang, Chong Liu, Hui-Ping Wang, Zhao-Wei Gao

Abstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Ke DongDepartment of Clinical Diagnose, Tangdu Hospital, Airforce Medical University, Xi'an, Shannxi Province, China.
Xia-Nan WuDepartment of Clinical Diagnose, Tangdu Hospital, Airforce Medical University, Xi'an, Shannxi Province, China.
Ying-Qi LiuNo. 4 Company, School of Basic Medical Sciences, Air Force Medical University, Xi'an, Shannxi Province, China.
Lan YangDepartment of Clinical Diagnose, Tangdu Hospital, Airforce Medical University, Xi'an, Shannxi Province, China.
Chong LiuDepartment of Clinical Diagnose, Tangdu Hospital, Airforce Medical University, Xi'an, Shannxi Province, China.
Hui-Ping WangDepartment of Clinical Diagnose, Tangdu Hospital, Airforce Medical University, Xi'an, Shannxi Province, China.
Zhao-Wei GaoDepartment of Clinical Diagnose, Tangdu Hospital, Airforce Medical University, Xi'an, Shannxi Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) is a complex autoimmune disease with multiple etiological factors. Immune disorder contributes to SLE development and is an important clinical manifestation of SLE patients. Immune dysfunction is characterized by abnormal of B cells, T cells, monocyte-macrophages and dendritic cells (DCs), in both quantity and quality. Adenosine is a critical factor for human immune homeostasis, which acts as an immunosuppressive signal and can prevent the hyperactivity of human immune system. Adenosine levels are significant decreased in serum from SLE patients. Adenosine level is regulated by the CD39, CD73 and adenosine deaminase (ADA). CD39/CD73/ADA catalyzed the cascade enzymatic reaction, which contained the adenosine generation and degradation. Adenosine affects the function of various immune cells via bind to the adenosine receptors, which are expressed on the cell surface. This review aims to export the changes of immune cells and adenosine signal pathway in SLE, as well as the effect of adenosine signal pathway in SLE development.

Indexed as

AdenosineAdenosine deaminaseCD39CD73Systemic lupus erythematosus

Identifiers

PMID38699049
PMCPMC11064148

What OpenQuestion holds

Textmetadata
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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.