Urinary phenotyping of SARS-CoV-2 infection connects clinical diagnostics with metabolomics and uncovers impaired NAD+ pathway and SIRT1 activation

Author:

Lonati Caterina12,Berezhnoy Georgy2,Lawler Nathan3,Masuda Reika3,Kulkarni Aditi2,Sala Samuele3,Nitschke Philipp3,Zizmare Laimdota2,Bucci Daniele2,Cannet Claire4,Schäfer Hartmut4,Singh Yogesh5,Gray Nicola3,Lodge Samantha3,Nicholson Jeremy3,Merle Uta6,Wist Julien3,Trautwein Christoph2ORCID

Affiliation:

1. Center for Preclinical Research , Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico , Milan , Italy

2. Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy , University Hospital Tübingen , Tübingen , Germany

3. Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute , Murdoch University Perth , Australia

4. Bruker BioSpin GmbH, AIC Division , Ettlingen , Germany

5. Institute of Medical Genetics and Applied Genomics , University Hospital Tübingen , Tübingen , Germany

6. Department of Internal Medicine IV , University Hospital Heidelberg , Heidelberg , Germany

Abstract

Abstract Objectives The stratification of individuals suffering from acute and post-acute SARS-CoV-2 infection remains a critical challenge. Notably, biomarkers able to specifically monitor viral progression, providing details about patient clinical status, are still not available. Herein, quantitative metabolomics is progressively recognized as a useful tool to describe the consequences of virus-host interactions considering also clinical metadata. Methods The present study characterized the urinary metabolic profile of 243 infected individuals by quantitative nuclear magnetic resonance (NMR) spectroscopy and liquid chromatography mass spectrometry (LC–MS). Results were compared with a historical cohort of noninfected subjects. Moreover, we assessed the concentration of recently identified antiviral nucleosides and their association with other metabolites and clinical data. Results Urinary metabolomics can stratify patients into classes of disease severity, with a discrimination ability comparable to that of clinical biomarkers. Kynurenines showed the highest fold change in clinically-deteriorated patients and higher-risk subjects. Unique metabolite clusters were also generated based on age, sex, and body mass index (BMI). Changes in the concentration of antiviral nucleosides were associated with either other metabolites or clinical variables. Increased kynurenines and reduced trigonelline excretion indicated a disrupted nicotinamide adenine nucleotide (NAD+) and sirtuin 1 (SIRT1) pathway. Conclusions Our results confirm the potential of urinary metabolomics for noninvasive diagnostic/prognostic screening and show that the antiviral nucleosides could represent novel biomarkers linking viral load, immune response, and metabolism. Moreover, we established for the first time a casual link between kynurenine accumulation and deranged NAD+/SIRT1, offering a novel mechanism through which SARS-CoV-2 manipulates host physiology.

Funder

Werner Siemens-Stiftung

Siemens

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry (medical),Clinical Biochemistry,General Medicine

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