Evidence map›Paper›PMID 33386815›Full record

ArticleJournal of Parkinson's disease2021

Expression of Transcription Factors in CD4 + T Cells as Potential Biomarkers of Motor Complications in Parkinson's Disease.

Elena Contaldi, Luca Magistrelli, Anna Vera Milner, Marco Cosentino, Franca Marino, Cristoforo Comi

Abstract read
In one paragraph

Article in Journal of Parkinson's disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Differentiation and regulation of CD4Cellular and molecular life sciences : CMLS · 2024
    Review
  5. Article
  6. Review
  7. Review
  8. International journal of molecular sciences · 2023
    Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. T Lymphocytes in Parkinson's Disease.Journal of Parkinson's disease · 2022
    Review
  14. The Impact ofLife (Basel, Switzerland) · 2021
    Review
  15. Review
  16. Article
  17. 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

6 authors.

Elena ContaldiMovement Disorders Centre, Neurology Unit, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy.
Luca MagistrelliMovement Disorders Centre, Neurology Unit, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy.
Anna Vera MilnerMovement Disorders Centre, Neurology Unit, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy.
Marco CosentinoCenter of Research in Medical Pharmacology, University of Insubria, Varese, Italy.
Franca MarinoCenter of Research in Medical Pharmacology, University of Insubria, Varese, Italy.
Cristoforo ComiMovement Disorders Centre, Neurology Unit, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundManagement of motor complications (MC) represents a major challenge in the long-term treatment of Parkinson's disease (PD) patients. In this context, the role of peripheral adaptive immunity may provide new insights, since neuroinflammatory mechanisms have been proved crucial in the disease.

objectiveThe aim of this study was to analyze the transcription factors genes involved in CD4 + T cells development to uncover specific molecular signatures in patients with (PMC) and without (WMC) motor complications.

methodsmRNA levels of CD4 + T lymphocytes transcription factor genes TBX21, STAT1, STAT3, STAT4, STAT6, RORC, GATA3, FOXP3, and NR4A2 were measured from 40 PD patients, divided into two groups according to motor complications. Also, 40 age- and sex-matched healthy controls were enrolled.

resultsWMC patients had higher levels of STAT1 and NR4A2 (p = 0.004; p = 0.003), whereas in PMC we found higher levels of STAT6 (p = 0.04). Also, a ROC curve analysis confirmed STAT1 and NR4A2 as feasible biomarkers to discriminate WMC (AUC = 0.76, 95%CI 0.59-0.92, p = 0.005; AUC = 0.75, 95%CI 0.58-0.90, p = 0.007). Similarly, STAT6 detected PMC patients (AUC = 0.69, 95%CI 0.52-0.86, p = 0.037).

conclusionThese results provide evidence of different molecular signatures in CD 4 + T cells of PD patients with and without MC, thus suggesting their potential as biomarkers of MC development.

Indexed as

CD4-Positive T-LymphocytesParkinson DiseaseBiomarkersHumansRNA, MessengerTranscription FactorsBiomarkersRNA, MessengerTranscription FactorsCD4 + T lymphocytes transcription factorsmotor complicationsParkinson’s diseaseperipheral immune system

Identifiers

PMID33386815
PMCPMC8150526

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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.