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Trimethylamine N-oxide as a potential prognostic biomarker for mortality in patients with COVID-19 disease

  • Zinnet Şevval Aksoyalp*
  • , Betül Rabia Erdoğan
  • , Saliha Aksun
  • , Melih Kaan Sözmen
  • , Murat Aksun
  • , Cüneyt Kemal Buharalıoğlu
  • , Nagihan Altıncı-Karahan
  • , Nergiz Hacer Turgut
  • , Tijen Kaya-Temiz
  • *Corresponding author for this work
  • Izmir Katip Celebi University
  • Turkish Medicines and Medical Devices Agency
  • Harvard University
  • Atatürk Training and Research Hospital

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: Trimethylamine N-oxide (TMAO) is suggested as a biomarker for inflammatory and cardiovascular diseases which are identified as risk factors for severe cases of coronavirus disease 2019 (COVID-19). Our primary aim was to assess prognostic potential of serum TMAO levels in predicting COVID-19-related mortality. The secondary aim was to examine the potential of various biochemical parameters, particularly those associated with inflammation or thrombosis, as predictors of mortality. Patients and methods: In this prospective and single-centre study, COVID-19 patients were categorized as death (group 1) or discharged (group 2) based on their in-hospital mortality status. The characteristics of participants were documented, and clinical data, including TMAO, angiotensin-converting enzyme-2 (ACE2), and neutrophil to lymphocyte ratio (NLR), were determined. The association of these independent variables with the COVID-19-related mortality, was assessed by calculation of crude odds ratios (OR) in bivariate and logistic regression analysis. Receiver operation characteristic (ROC) analysis was used for cut-off values. Results: The serum levels of TMAO, ACE2 and NLR were markedly higher in group 1 on the days of hospital admission (p ​< ​0.05, p ​< ​0.05, and p ​< ​0.01, respectively). Serum TMAO levels (OR 1.422; 95 ​% CI [1.067–1.894]; p ​= ​0.016) and NLR (OR 1.166; 95 ​% CI [1.012–1.343]; p ​= ​0.033) were determined as independent predictors for COVID-19-related mortality with after multivariate logistic regression analysis. The optimal cut-off values were detected as 7.9 ​ng/ml for TMAO (71 ​% sensitivity, 68 ​% specificity, AUC ​= ​0.701). Conclusions: The findings of this initial study indicate that serum TMAO levels and NLR may be useful in predicting mortality in the early stages of COVID-19.

Original languageEnglish
Pages (from-to)174-183
Number of pages10
JournalAdvances in Medical Sciences
Volume70
Issue number1
DOIs
StatePublished - Mar 2025
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Biomarker
  • Inflammation
  • Mortality
  • Prognosis
  • SARS-CoV-2

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