MTHFR allele and one-carbon metabolic profile predict severity of COVID-19

While the public health burden of SARS-CoV-2 infection has lessened due to natural and vaccine-acquired immunity, emergence of less virulent variants, and antiviral medications, COVID-19 continues to take a significant toll. There are thousands of new hospitalizations and hundreds of deaths per week in the United States, many of whom develop long COVID. Early identification of individuals at high risk of severe COVID-19 is key for monitoring and supporting respiratory status and improving outcomes. Therefore, precision tools for early detection of patients at high risk of severe disease can reduce morbidity and mortality. Here, we report an untargeted, longitudinal plasma metabolomics study of COVID-19 patients. One-carbon metabolism, a pathway previously shown as critical for viral propagation and disease progression, and a potential target for COVID-19 treatment, scored strongly as differentially abundant in patients with severe COVID-19. Targeted metabolite profiling revealed that one arm of the one-carbon metabolism pathway, the methionine cycle, is a major driver of the metabolic profile associated with disease severity. Further, genomic data from the profiled patients revealed a genetic contributor to methionine metabolism and identified the C677T allele of the <i>MTHFR</i> gene as a preexisting contributor to disease trajectory-patients that show aberrant one-carbon metabolite levels and that are homozygous for the <i>MTHFR</i> C677T, have higher incidence of severe COVID. Our results raise the possibility that <i>MTHFR</i> variant status may inform precision COVID-19 treatment strategies.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-12-18
DOI
https://doi.org/10.1073/pnas.2509118122
Citations
1
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.81
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article

MTHFR allele and one-carbon metabolic profile predict severity of COVID-19

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1 citations
Proceedings of the National Academy of Sciences
Metabolomics and Mass Spectrometry Studies
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article

MTHFR allele and one-carbon metabolic profile predict severity of COVID-19

Joann Diray‐Arce, Hanno Steen, Boryana Petrova, Jessica Ann Lasky-Su, Ruth R. Montgomery, Andrew J. Culhane, Denise Esserman, Kevin Mendez, Kinga K. Smolen, Naama Kanarek, Steven H. Kleinstein, Ernie Chen, Ofer Levy, Caitlin Syphurs, Chris Cotsapas, Jing Chen
article en
1 citations

Abstract

While the public health burden of SARS-CoV-2 infection has lessened due to natural and vaccine-acquired immunity, emergence of less virulent variants, and antiviral medications, COVID-19 continues to take a significant toll. There are thousands of new hospitalizations and hundreds of deaths per week in the United States, many of whom develop long COVID. Early identification of individuals at high risk of severe COVID-19 is key for monitoring and supporting respiratory status and improving outcomes. Therefore, precision tools for early detection of patients at high risk of severe disease can reduce morbidity and mortality. Here, we report an untargeted, longitudinal plasma metabolomics study of COVID-19 patients. One-carbon metabolism, a pathway previously shown as critical for viral propagation and disease progression, and a potential target for COVID-19 treatment, scored strongly as differentially abundant in patients with severe COVID-19. Targeted metabolite profiling revealed that one arm of the one-carbon metabolism pathway, the methionine cycle, is a major driver of the metabolic profile associated with disease severity. Further, genomic data from the profiled patients revealed a genetic contributor to methionine metabolism and identified the C677T allele of the <i>MTHFR</i> gene as a preexisting contributor to disease trajectory-patients that show aberrant one-carbon metabolite levels and that are homozygous for the <i>MTHFR</i> C677T, have higher incidence of severe COVID. Our results raise the possibility that <i>MTHFR</i> variant status may inform precision COVID-19 treatment strategies.

Proceedings of the National Academy of SciencesVol. 122(51)
Broad Institute (US), Brigham and Women's Hospital (US), Boston Children's Hospital (US), Harvard University (US), Yale University (US), Boston Children's Museum (US), Medical University of Vienna (AT)
Openalex Percentile: Top 21%
Metabolomics and Mass Spectrometry Studies
0.81
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