Evidence map›Paper›PMID 32321428›Full record

ArticleBMC cardiovascular disorders2020

Proteomic analysis reveals sex-specific biomarker signature in postural orthostatic tachycardia syndrome.

Jasmina Medic Spahic, Fabrizio Ricci, Nay Aung, Erik Hallengren, Jonas Axelsson, Viktor Hamrefors, Olle Melander, Richard Sutton, Artur Fedorowski

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Autoimmunity in Long Covid and POTS.Oxford open immunology · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. The quest for biomarkers in postural tachycardia syndrome and other updates on recent autonomic research.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2020
    Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 2 countries.

Jasmina Medic SpahicDepartment of Clinical Sciences, Malmö, Faculty of Medicine, Lund University, Clinical Research Center, 214 28, Malmö, Sweden.
Fabrizio RicciDepartment of Clinical Sciences, Malmö, Faculty of Medicine, Lund University, Clinical Research Center, 214 28, Malmö, Sweden.
Nay AungWilliam Harvey Research Institute, NIHR Cardiovascular Biomedical Research Unit at Barts, Queen Mary University of London, London, UK.
Erik HallengrenDepartment of Clinical Sciences, Malmö, Faculty of Medicine, Lund University, Clinical Research Center, 214 28, Malmö, Sweden.
Jonas AxelssonDepartment of Clinical Immunology and Transfusion Medicine, Karolinska University Hospital, Stockholm, Sweden.
Viktor HamreforsDepartment of Clinical Sciences, Malmö, Faculty of Medicine, Lund University, Clinical Research Center, 214 28, Malmö, Sweden.
Olle MelanderDepartment of Clinical Sciences, Malmö, Faculty of Medicine, Lund University, Clinical Research Center, 214 28, Malmö, Sweden.
Richard SuttonNational Heart and Lung Institute, Imperial College, Hammersmith Hospital Campus, Ducane Road, W12 0NN, London, UK.
Artur FedorowskiDepartment of Clinical Sciences, Malmö, Faculty of Medicine, Lund University, Clinical Research Center, 214 28, Malmö, Sweden. artur.fedorowski@med.lu.se.
Lund University · SEHammersmith Hospital · GBKarolinska University Hospital · SEQueen Mary University of London · GBSkåne University Hospital · SE

Funding

Wellcome Trust 203553/Z/16/Z
6 · The paper itself

Abstract

backgroundPostural orthostatic tachycardia syndrome (POTS) is a variant of cardiovascular (CV) autonomic disorder of unknown etiology characterized by an excessive heart rate increase on standing and orthostatic intolerance. In this study we sought to identify novel CV biomarkers potentially implicated in POTS pathophysiology.

methodsWe conducted a nested case-control study within the Syncope Study of Unselected Population in Malmö (SYSTEMA) cohort including 396 patients (age range, 15-50 years) with either POTS (n = 113) or normal hemodynamic response during passive head-up-tilt test (n = 283). We used a targeted approach to explore changes in cardiovascular proteomics associated with POTS through a sequential two-stage process including supervised principal component analysis and univariate ANOVA with Bonferroni correction.

resultsPOTS patients were younger (26 vs. 31 years; p < 0.001) and had lower BMI than controls. The discovery algorithm identified growth hormone (GH) and myoglobin (MB) as the most specific biomarker fingerprint for POTS. Plasma level of GH was higher (9.37 vs 8.37 of normalised protein expression units (NPX); p = 0.002), whereas MB was lower (4.86 vs 5.14 NPX; p = 0.002) in POTS compared with controls. In multivariate regression analysis, adjusted for age and BMI, and stratified by sex, lower MB level in men and higher GH level in women remained independently associated with POTS.

conclusionsCardiovascular proteomics analysis revealed sex-specific biomarker signature in POTS featured by higher plasma level of GH in women and lower plasma level of MB in men. These findings point to sex-specific immune-neuroendocrine dysregulation and deconditioning as potentially key pathophysiological traits underlying POTS.

Indexed as

ProteomicsAdolescentAdultBiomarkersCase-Control StudiesFemaleHigh-Throughput Screening AssaysHuman Growth HormoneHumansMaleMiddle AgedMyoglobinPostural Orthostatic Tachycardia SyndromePredictive Value of TestsSex FactorsYoung AdultBiomarkersHuman Growth HormoneMyoglobinAutonomic nervous system diseasesBiomarkerCardiovascular diseasePostural orthostatic tachycardia syndromeSyncope

Identifiers

PMID32321428
PMCPMC7178975
OpenAlexW3017710108

What OpenQuestion holds

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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.