Evidence map›Paper›PMID 31338581›Full record

ArticleJournal of neural transmission (Vienna, Austria : 1996)2019

Evaluation of potential cardiovascular risk protein biomarkers in high severity restless legs syndrome.

Elisa Bellei, Stefania Bergamini, Emanuela Monari, Aldo Tomasi, Mesrure Koseoglu, Selma Topaloglu Tuac, Serkan Ozben

Open access · greenAbstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Journal of neural transmission (Vienna, Austria : 1996), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Vitamin D and Restless Legs Syndrome: A Review of Current Literature.Tremor and other hyperkinetic movements (New York, N.Y.) · 2023
    Review
  6. Review
  7. 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 at 3 institutions in 2 countries.

Elisa BelleiProteomic Lab, Department of Surgery, Medicine, Dentistry and Morphological Science with Transplant Surgery, Oncology and Regenerative Medicine Relevance, University of Modena and Reggio Emilia, Via del Pozzo 71, 41124, Modena, Italy. elisa.bellei@unimore.it.ORCID 0000-0002-6801-0446
Stefania BergaminiProteomic Lab, Department of Surgery, Medicine, Dentistry and Morphological Science with Transplant Surgery, Oncology and Regenerative Medicine Relevance, University of Modena and Reggio Emilia, Via del Pozzo 71, 41124, Modena, Italy.
Emanuela MonariProteomic Lab, Department of Surgery, Medicine, Dentistry and Morphological Science with Transplant Surgery, Oncology and Regenerative Medicine Relevance, University of Modena and Reggio Emilia, Via del Pozzo 71, 41124, Modena, Italy.
Aldo TomasiProteomic Lab, Department of Surgery, Medicine, Dentistry and Morphological Science with Transplant Surgery, Oncology and Regenerative Medicine Relevance, University of Modena and Reggio Emilia, Via del Pozzo 71, 41124, Modena, Italy.
Mesrure KoseogluDepartment of Neurology, Bakirkoy Psychiatry and Neurology Research and Training Hospital, Istanbul, Turkey.
Selma Topaloglu TuacDepartment of Neurology, Bakirkoy Psychiatry and Neurology Research and Training Hospital, Istanbul, Turkey.
Serkan OzbenDepartment of Neurology, Antalya Training and Research Hospital, Antalya, Turkey.
University of Modena and Reggio Emilia · ITBakırköy Psychiatric Hospital · TRAntalya Eğitim ve Araştırma Hastanesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Restless legs syndrome (RLS) is a common sensorimotor disorder that, in case of severe symptoms, can be very distressing and negatively interfere with quality of life. Moreover, increasing evidences associate RLS with higher risk of cerebrovascular and cardiovascular disease (CVD). The purpose of this study was to quantify two proteins, previously identified by proteomics and potentially linked with CVD risk, namely kininogen-1 (KNG1) and alpha-1-antitrypsin (A1AT), in primary RLS patients at high severity grade (HS-RLS) in comparison to healthy control subjects. Proteins were quantified through enzyme-linked immunosorbent assay (ELISA) in plasma samples from 14 HS-RLS patients and 15 control individuals. The two groups were closely matched for age and gender. The expression level of KNG1 resulted significantly higher (p < 0.001), while A1AT was significantly decreased (p < 0.05) in HS-RLS patients compared to controls, confirming the relationship between these proteins and the disease severity. Furthermore, in patients group the association between the protein concentrations and the following parameters was further evaluated: age, disease onset and diagnosis, scores obtained from the RLS rating scales (Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, Beck Depression Inventory) and smoking habit. All the considered variables resulted independent of protein levels, so the disease can be reasonably considered the main cause of protein changes. As emerged from the literature, high levels of KNG1 and low amounts of A1AT seem to be related with a highest probability to develop CVD. Consequently, these proteins may be reliable candidate biomarkers of CVD risk in patients with RLS at high severity grade.

Indexed as

Severity of Illness IndexAdultalpha 1-AntitrypsinBiomarkersCardiovascular DiseasesFemaleHumansKininogensMaleMiddle AgedRestless Legs SyndromeRisk Factorsalpha 1-AntitrypsinBiomarkersKininogensKNG1 protein, humanSERPINA1 protein, humanAlpha-1-antitrypsinBiomarkersCardiovascular diseaseKininogen-1Restless legs syndrome

Identifiers

PMID31338581
OpenAlexW2963577481

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.