Evidence map›Paper›PMID 38402378›Full record

Observational studyJournal of translational medicine2024

Acute venous thromboembolism plasma and red blood cell metabolomic profiling reveals potential new early diagnostic biomarkers: observational clinical study.

Cláudia Febra, Joana Saraiva, Fátima Vaz, João Macedo, Hamza Mohammad Al-Hroub, Mohammad Harb Semreen, Rui Maio, Vitor Gil, Nelson Soares, Deborah Penque

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
8.8field-weighted citation impact, top 1% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

10 authors at 6 institutions in 3 countries.

Cláudia FebraDepartment of Intensive Care, Hospital da Luz Lisboa, Lisbon, Portugal. Claudia.Macedo.Febra@hospitaldaluz.pt.ORCID 0000-0002-3093-0669
Joana SaraivaHuman Genetics Department, Instituto Nacional de Saúde Dr. Ricardo Jorge (INSA), Lisbon, Portugal.
Fátima VazHuman Genetics Department, Instituto Nacional de Saúde Dr. Ricardo Jorge (INSA), Lisbon, Portugal.
João MacedoNOVA School of Science and Technology, Universidade Nova de Lisboa, Lisbon, Portugal.
Hamza Mohammad Al-HroubDepartment of Medical Chemistry, College of Pharmacy, University of Sharjah, Sharjah, United Arab Emirates.
Mohammad Harb SemreenDepartment of Medical Chemistry, College of Pharmacy, University of Sharjah, Sharjah, United Arab Emirates.
Rui MaioDepartment of General Surgery, Hospital da Luz Lisboa, Lisbon, Portugal.
Vitor GilFaculty of Medicine, University of Porto, Porto, Portugal.
Nelson SoaresHuman Genetics Department, Instituto Nacional de Saúde Dr. Ricardo Jorge (INSA), Lisbon, Portugal. nsoares@sharjah.ac.ae.
Deborah PenqueHuman Genetics Department, Instituto Nacional de Saúde Dr. Ricardo Jorge (INSA), Lisbon, Portugal. deborah.penque@insa.min-saude.pt.
University of Sharjah · AENational Institute of Health Dr. Ricardo Jorge · PTUniversidade do Porto · PTHospital da Luz · PTInstituto Nacional de Saúde · MZUniversidade Nova de Lisboa · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVenous thromboembolism (VTE) is a leading cause of cardiovascular mortality. The diagnosis of acute VTE is based on complex imaging exams due to the lack of biomarkers. Recent multi-omics based research has contributed to the development of novel biomarkers in cardiovascular diseases. Our aim was to determine whether patients with acute VTE have differences in the metabolomic profile compared to non-acute VTE.

methodsThis observational trial included 62 patients with clinical suspicion of acute deep vein thrombosis or pulmonary embolism, admitted to the emergency room. There were 50 patients diagnosed with acute VTE and 12 with non-acute VTE conditions and no significant differences were found between the two groups for clinical and demographic characteristics. Metabolomics assays identified and quantified a final number of 91 metabolites in plasma and 55 metabolites in red blood cells (RBCs). Plasma from acute VTE patients expressed tendency to a specific metabolomic signature, with univariate analyses revealing 23 significantly different molecules between acute VTE patients and controls (p < 0.05). The most relevant metabolic pathway with the strongest impact on the acute VTE phenotype was D-glutamine and D-glutamate (p = 0.001, false discovery rate = 0.06). RBCs revealed a specific metabolomic signature in patients with a confirmed diagnosis of DVT or PE that distinguished them from other acutely diseased patients, represented by 20 significantly higher metabolites and four lower metabolites. Three of those metabolites revealed high performant ROC curves, including adenosine 3',5'-diphosphate (AUC 0.983), glutathione (AUC 0.923), and adenine (AUC 0.91). Overall, the metabolic pathway most impacting to the differences observed in the RBCs was the purine metabolism (p = 0.000354, false discovery rate = 0.68).

conclusionsOur findings show that metabolite differences exist between acute VTE and nonacute VTE patients admitted to the ER in the early phases. Three potential biomarkers obtained from RBCs showed high performance for acute VTE diagnosis. Further studies should investigate accessible laboratory methods for the future daily practice usefulness of these metabolites for the early diagnosis of acute VTE in the ER.

Indexed as

Pulmonary EmbolismVenous ThromboembolismVenous ThrombosisBiomarkersErythrocytesHumansRisk FactorsBiomarkersDeep vein thrombosisMetabolomicsPulmonary embolismVenous thromboembolism

Identifiers

PMID38402378
PMCPMC10894498
OpenAlexW4392129318

What Socratic 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 Socratic graph.