Evidence map›Paper›PMID 28239238›Full record

ArticleMediators of inflammation2017

Cytokine Imbalance as a Common Mechanism in Both Psoriasis and Rheumatoid Arthritis.

Yong Tan, Qiu Qi, Cheng Lu, Xuyan Niu, Yanping Bai, Chunyan Jiang, Yang Wang, Youwen Zhou, Aiping Lu, Cheng Xiao

Open access · goldAbstract read
In one paragraph

Article in Mediators of inflammation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 7 institutions in 3 countries.

Yong TanInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Qiu QiInstitute of Clinical Pharmacology, Beijing An Zhen Hospital, Capital Medical University, Beijing 100029, China.
Cheng LuInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.ORCID 0000-0002-6474-9198
Xuyan NiuInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.ORCID 0000-0003-1320-2667
Yanping BaiDepartment of Dermatology, China-Japan Friendship Hospital, Beijing 100029, China.
Chunyan JiangDepartment of Dermatology, Beijing Hospital of Traditional Chinese Medicine, Beijing 100010, China.
Yang WangDepartment of Dermatology and Venerology, Peking University First Hospital, Beijing 100034, China.
Youwen ZhouDepartment of Dermatology and Skin Science, University of British Columbia, Vancouver, BC, Canada; Molecular Medicine Laboratory and Chieng Genomics Center, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada.ORCID 0000-0001-7633-4136
Aiping LuInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China; Institute for Advancing Translational Medicine in Bone & Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, Kowloon Tong, Hong Kong; E-Institute of Chinese Traditional Internal Medicine, Shanghai Municipal Education Commission, Shanghai 201203, China.ORCID 0000-0002-2303-0494
Cheng XiaoInstitute of Clinical Medicine, China-Japan Friendship Hospital, Beijing 100029, China.ORCID 0000-0002-5601-9670
Chinese Academy of Medical Sciences & Peking Union Medical College · CNChina-Japan Friendship Hospital · CNBeijing Hospital of Traditional Chinese Medicine · CNCapital Medical University · CNHong Kong Baptist University · HKPeking University · CNVancouver Coastal Health · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psoriasis (PS) and rheumatoid arthritis (RA) are immune-mediated inflammatory diseases. Previous studies showed that these two diseases had a common pathogenesis, but the precise molecular mechanism remains unclear. In this study, RNA sequencing of peripheral blood mononuclear cells was employed to explore both the differentially expressed genes (DEGs) of 10 PS and 10 RA patients compared with those of 10 healthy volunteers and the shared DEGs between these two diseases. Bioinformatics network analysis was used to reveal the connections among the shared DEGs and the corresponding molecular mechanism. In total, 120 and 212 DEGs were identified in PS and RA, respectively, and 31 shared DEGs were identified. Bioinformatics analysis indicated that the cytokine imbalance relevant to key molecules (such as extracellular signal-regulated kinase 1/2 (ERK1/2), p38 mitogen-activated protein kinase (MAPK), tumor necrosis factor (TNF), colony-stimulating factor 3 (CSF3), interleukin- (IL-) 6, and interferon gene (IFNG)) and canonical signaling pathways (such as the complement system, antigen presentation, macropinocytosis signaling, nuclear factor-kappa B (NF-

Indexed as

AdultAntigen PresentationArthritis, RheumatoidCase-Control StudiesComplement System ProteinsComputational BiologyCytokinesFemaleHumansImmune SystemLeukocytes, MononuclearMAP Kinase Signaling SystemMiddle AgedNF-kappa Bp38 Mitogen-Activated Protein KinasesProto-Oncogene Proteins c-fosComplement System ProteinsCytokinesNF-kappa Bp38 Mitogen-Activated Protein KinasesProto-Oncogene Proteins c-fos

Identifiers

PMID28239238
PMCPMC5296610
OpenAlexW2581284434

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.