Evidence map›Paper›PMID 33633562›Full record

ArticleFrontiers in aging neuroscience2021

Immune Profiling of Parkinson's Disease Revealed Its Association With a Subset of Infiltrating Cells and Signature Genes.

Xi Zhang, Zhihua Shao, Sutong Xu, Qiulu Liu, Chenming Liu, Yuping Luo, Lingjing Jin, Siguang Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  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

8 authors at 2 institutions in 1 country.

Xi ZhangStem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Zhihua ShaoStem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Sutong XuStem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Qiulu LiuStem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Chenming LiuStem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Yuping LuoStem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Lingjing JinDepartment of Neurology, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Siguang LiStem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Tongji Hospital · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is an age-related and second most common neurodegenerative disorder. In recent years, increasing evidence revealed that peripheral immune cells might be able to infiltrate into brain tissues, which could arouse neuroinflammation and aggravate neurodegeneration. This study aimed to illuminate the landscape of peripheral immune cells and signature genes associated with immune infiltration in PD. Several transcriptomic datasets of substantia nigra (SN) from the Gene Expression Omnibus (GEO) database were separately collected as training cohort, testing cohort, and external validation cohort. The immunoscore of each sample calculated by single-sample gene set enrichment analysis was used to reflect the peripheral immune cell infiltration and to identify the differential immune cell types between PD and healthy participants. According to receiver operating characteristic (ROC) curve analysis, the immunoscore achieved an overall accuracy of the area under the curve (AUC) = 0.883 in the testing cohort, respectively. The immunoscore displayed good performance in the external validation cohort with an AUC of 0.745. The correlation analysis and logistic regression analysis were used to analyze the correlation between immune cells and PD, and mast cell was identified most associated with the occurrence of PD. Additionally, increased mast cells were also observed in our

Indexed as

AGTR1immune cell infiltrationmast cellParkinson’s diseaseRBM3

Identifiers

PMID33633562
PMCPMC7899990
OpenAlexW3128735774

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.