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

B Boryana Petrova C Caitlin Syphurs (Precision Vaccines Program, Boston Children’s Hospital) A Andrew J. Culhane (Department of Pathology, Boston Children’s Hospital) J Jing Chen E Ernie Chen (Department of Neurology, Yale School of Medicine) C Chris Cotsapas (Department of Neurology, Yale School of Medicine) D Denise Esserman (Yale School of Public Health) R Ruth R. Montgomery (Department of Internal Medicine, Yale School of Medicine) S Steven H. Kleinstein (Department of Pathology, Yale School of Medicine) K Kinga K. Smolen (Harvard Medical School) K Kevin Mendez (Harvard Medical School) J Jessica Lasky-Su (Harvard Medical School) H Hanno Steen (Department of Pathology, Boston Children’s Hospital) O Ofer Levy (Harvard Medical School) J Joann Diray-Arce (Harvard Medical School) N Naama Kanarek

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 MTHFR gene as a preexisting contributor to disease trajectory—patients that show aberrant one-carbon metabolite levels and that are homozygous for the MTHFR C677T, have higher incidence of severe COVID. Our results raise the possibility that MTHFR variant status may inform precision COVID-19 treatment strategies.

Article Details

Volume / Issue Vol. 122, Issue 51
Published December 23, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (16)

B

Boryana Petrova

C

Caitlin Syphurs

Precision Vaccines Program, Boston Children’s Hospital

A

Andrew J. Culhane

Department of Pathology, Boston Children’s Hospital

J

Jing Chen

E

Ernie Chen

Department of Neurology, Yale School of Medicine

C

Chris Cotsapas

Department of Neurology, Yale School of Medicine

D

Denise Esserman

Yale School of Public Health

R

Ruth R. Montgomery

Department of Internal Medicine, Yale School of Medicine

S

Steven H. Kleinstein

Department of Pathology, Yale School of Medicine

K

Kinga K. Smolen

Harvard Medical School

K

Kevin Mendez

Harvard Medical School

J

Jessica Lasky-Su

Harvard Medical School

H

Hanno Steen

Department of Pathology, Boston Children’s Hospital

O

Ofer Levy

Harvard Medical School

J

Joann Diray-Arce

Harvard Medical School

N

Naama Kanarek