Evidence map›Paper›PMID 35034257›Full record

ReviewMolecular and cellular biochemistry2022

Research advances in the role and pharmaceuticals of ATP-binding cassette transporters in autoimmune diseases.

Jun Yu, Hao Chen, Jiangmei Xu, Peng Zhou

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular and cellular biochemistry, 2022. 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
0.2field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 3 institutions in 1 country.

Jun Yu *The Fourth Affiliated Hospital of Anhui Medical University, Hefei, 230012, Anhui, China.ORCID http://orcid.org/0000-0002-1375-1394
Hao Chen *School of Biomedical Engineering, Anhui Medical University, Hefei, 230032, Anhui, China.
Jiangmei Xu *Department of Dermatovenerology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, China.
Peng ZhouAnhui Province Key Laboratory of Chinese Medicinal Formula, Institute of Integrated Chinese and Western Medicine, School of Integrated Chinese and Western Medicine, Anhui Academy of Chinese Medicine, Anhui University of Chinese Medicine, No. 1 Qianjiang Road, Hefei, 230012, Anhui, China. zhoupeng@ahtcm.edu.cn.
Anhui Medical University · CNAnhui University of Traditional Chinese Medicine · CNSun Yat-sen University · CN

Funding

the Foundation of Anhui Medical University No. 2018xkj065the national natural scienece foundation of china No. 82004180
6 · The paper itself

Abstract

Autoimmune diseases are caused by the immune response of the body to its antigens, resulting in tissue damage. The pathogenesis of these diseases has not yet been elucidated. Most autoimmune diseases cannot be cured by effective drugs. The treatment strategy is to relieve the symptoms of the disease and balance the body's autoimmune function. The abnormal expression of ATP-binding cassette (ABC) transporters is directly related to the pathogenesis of autoimmune diseases and drug therapy resistance, which poses a great challenge for the drug therapy of autoimmune diseases. Therefore, this paper reviews the interplay between ABC transporters and the pathogenesis of autoimmune diseases to provide research progress and new ideas for the development of drugs in autoimmune diseases.

Indexed as

Drug DevelopmentATP-Binding Cassette TransportersAutoimmune DiseasesHumansATP-Binding Cassette TransportersATP-binding cassette transportersAutoimmune diseasesDrug therapyMechanism

Identifiers

PMID35034257
OpenAlexW4206321970

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.