Evidence map›Paper›PMID 35268516›Full record

ArticleJournal of clinical medicine2022

TMAO and Gut Microbial-Derived Metabolites TML and γBB Are Not Associated with Thrombotic Risk in Patients with Venous Thromboembolism.

Marina Canyelles, Melania Plaza, Noemí Rotllan, Dolors Llobet, Josep Julve, Sergi Mojal, Maribel Diaz-Ricart, José Manuel Soria, Joan Carles Escolà-Gil, Mireia Tondo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. 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 14% 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, 9 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

12 authors at 4 institutions in 1 country.

Marina CanyellesInstitut de Recerca de l'Hospital Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques IIB Sant Pau, 08041 Barcelona, Spain.ORCID 0000-0002-0278-5337
Melania PlazaInstitut de Recerca de l'Hospital Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques IIB Sant Pau, 08041 Barcelona, Spain.
Noemí RotllanInstitut de Recerca de l'Hospital Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques IIB Sant Pau, 08041 Barcelona, Spain.ORCID 0000-0002-0587-8045
Dolors LlobetInstitut de Recerca de l'Hospital Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques IIB Sant Pau, 08041 Barcelona, Spain.
Josep JulveInstitut de Recerca de l'Hospital Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques IIB Sant Pau, 08041 Barcelona, Spain.ORCID 0000-0002-6531-2246
Sergi MojalInstitut de Recerca de l'Hospital Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques IIB Sant Pau, 08041 Barcelona, Spain.
Maribel Diaz-RicartHematopathology, Department of Pathology, Centre de Diagnostic Biomedic (CDB), Hospital Clinic de Barcelona, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, 08007 Barcelona, Spain.
José Manuel SoriaInstitut de Recerca de l'Hospital Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques IIB Sant Pau, 08041 Barcelona, Spain.
Joan Carles Escolà-GilInstitut de Recerca de l'Hospital Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques IIB Sant Pau, 08041 Barcelona, Spain.ORCID 0000-0001-9021-2485
Mireia TondoDepartment of Clinical Biochemistry, Hospital de la Santa Creu i Sant Pau, IIB Sant Pau, 08041 Barcelona, Spain.ORCID 0000-0002-0301-9984
Francisco Blanco-VacaDepartment of Clinical Biochemistry, Hospital de la Santa Creu i Sant Pau, IIB Sant Pau, 08041 Barcelona, Spain.ORCID 0000-0001-7380-5385
Joan Carles SoutoInstitut de Recerca de l'Hospital Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques IIB Sant Pau, 08041 Barcelona, Spain.
Hospital de Sant Pau · ESCentro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas · ESUniversitat Autònoma de Barcelona · ESHospital Clínic de Barcelona · ES

Funding

ISCIII PI18/00164; PI21/00140; PI12/00612; PI15/00269; PI18/00434; PI19/00136
6 · The paper itself

Abstract

backgroundThe present work evaluates the association between circulating concentrations of Trimethylamine-N-oxide (TMAO), gamma butyrobetaine (γBB), and trimetyllisine (TML) in controls and patients with venous thromboembolism (VTE) with coagulation parameters.

methodsThe study involved 54 VTE patients and 57 controls. Platelet function, platelet hyperreactivity, platelet adhesiveness, thrombosis-associated parameters, and thrombin generation parameters were studied. Plasma TMAO, γBB, and TML determination was performed using an ultra-high-performance liquid chromatography system coupled with mass spectrometry.

resultsNo differences were found for TMAO, γBB, or TML concentrations between controls and VTE patients. In thrombin generation tests, TMAO, γBB, and TML showed a positive correlation with lag time and time to peak. TMAO, γBB, and TML negatively correlated with peak height. No significant differences were observed regarding TMAO, γBB, and TML concentrations between the two blood withdrawals, nor when the control and VTE patients were analyzed separately. No correlation was observed between these gut metabolites and platelet function parameters.

conclusionsNo differences were found regarding TMAO, γBB, and TML concentrations between the control and VTE groups. Some correlations were found; however, they were mild or went in the opposite direction of what would be expected if TMAO and its derivatives were related to VTE risk.

Indexed as

liquid chromatography–mass spectrometryTMAOTMLtrimethylamine N-oxidevenous thromboembolismγBB

Identifiers

PMID35268516
PMCPMC8911412
OpenAlexW4221008371

What OpenQuestion holds

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LicenceCC BY
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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.