Evidence map›Paper›PMID 34940632›Full record

ArticleMetabolites2021

Serum Metabolic Profiles Based on Nuclear Magnetic Resonance Spectroscopy among Patients with Deep Vein Thrombosis and Healthy Controls.

Melissa Quintero Escobar, Ljubica Tasic, Tassia Brena Barroso Carneiro da Costa, Danijela Stanisic, Silmara Montalvão, Stephany Huber, Joyce Maria Annichino-Bizzacchi

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Mapping Thrombosis Serum Markers byMolecules (Basel, Switzerland) · 2024
    Article
  4. Review
  5. Potential role of plasma branched-chain amino acids in the differential diagnosis of acute cerebral venous thrombosis.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
    Article
  6. 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 1 institution in 1 country.

Melissa Quintero EscobarHematology and Hemotherapy Center, Hemocentro, University of Campinas (UNICAMP), Campinas 13083-878, SP, Brazil.ORCID 0000-0002-2645-7418
Ljubica TasicChemical Biology Laboratory, Department of Organic Chemistry, Institute of Chemistry, University of Campinas (UNICAMP), Campinas 13083-970, SP, Brazil.ORCID 0000-0003-2930-7332
Tassia Brena Barroso Carneiro da CostaChemical Biology Laboratory, Department of Organic Chemistry, Institute of Chemistry, University of Campinas (UNICAMP), Campinas 13083-970, SP, Brazil.
Danijela StanisicChemical Biology Laboratory, Department of Organic Chemistry, Institute of Chemistry, University of Campinas (UNICAMP), Campinas 13083-970, SP, Brazil.
Silmara MontalvãoHematology and Hemotherapy Center, Hemocentro, University of Campinas (UNICAMP), Campinas 13083-878, SP, Brazil.
Stephany HuberHematology and Hemotherapy Center, Hemocentro, University of Campinas (UNICAMP), Campinas 13083-878, SP, Brazil.
Joyce Maria Annichino-BizzacchiHematology and Hemotherapy Center, Hemocentro, University of Campinas (UNICAMP), Campinas 13083-878, SP, Brazil.
Universidade Estadual de Campinas (UNICAMP) · BR

Funding

São Paulo Research Foundation 2016/14172-6, 2018/18624-4, 2018/24069-3.
6 · The paper itself

Abstract

Deep venous thrombosis (DVT) is associated with significant morbidity and mortality. Studies on changes in the level of metabolites could have the potential to reveal biomarkers that can assist in the early detection, diagnosis, monitoring of DVT progression, response to treatment, or recurrence of DVT. In this scenario, the metabolomic analysis can provide a better understanding of the biochemical dysregulations of thrombosis. Using an untargeted metabolomic approach through magnetic resonance spectroscopy and multi- and univariate statistical analysis, we compared 40 patients with previous venous thrombosis and 40 healthy individuals, and we showed important serum differences between patients and controls, especially in the spectral regions that correspond to glucose, lipids, unsaturated lipids, and glycoprotein A. Considering the groups depending on risk factors and the local of the previous episode (lower limbs or cerebral system), we also noticed differences in metabolites linked to lipids and lactate. Comparative analyses pointed to altered ratios of glucose/lactate and branched-chain amino acids (BCAAs)/alanine, which might be associated with the fingerprints of thrombosis. Although samples for metabolomic analysis were collected months after the acute episode, these results highlighted that, alterations can still remain and may contribute to a better understanding of the complications of the disease.

Indexed as

bleeding disordershaemostasiametabolomicsNMRthrombosis

Identifiers

PMID34940632
PMCPMC8704499
OpenAlexW4200317002

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.