Severity-dependent metabolic rewiring in COVID-19 based on untargeted metabolomic profiling of patient plasma
Marta Majewska, Mateusz A Maździarz, Ewa Lepiarczyk, Aleksandra Lipka, Marta Wiszpolska, Beata Moczulska, Elżbieta Łopieńska-Biernat, Piotr Iwanowicz · 2026
Read Severity-dependent metabolic rewiring in COVID-19 based on untargeted metabolomic profiling of patient plasma by Marta Majewska, Mateusz A Maździarz, Ewa Lepiarczyk, Aleksandra Lipka, Marta Wiszpolska, Beata Moczulska, Elżbieta Łopieńska-Biernat, Piotr Iwanowicz (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/plos-pone-0352437.txt.
Description
Marta Majewska and seven colleagues profile the blood chemistry of COVID-19 at four depths of severity. Their 2026 study drew plasma from twenty patients and five healthy controls. Patients were classed by lung involvement and the breathing support they needed. A broad, untargeted scan detected over five hundred metabolites per sample. The team then asked how the chemical picture morphs as the disease deepens, rather than comparing sick and healthy in one lump.
Severity rewired metabolism step by step. The chemical distance from healthy grew steadily across the groups. Early and moderate disease centred on disturbed fatty acid handling. The severest group shifted toward pyrimidine metabolism, the chemistry of building DNA letters. That fits frantic virus replication and immune cell multiplication. One amino acid pathway stayed disturbed across nearly all stages. Fine-grained staging like this could eventually match treatments to the metabolic phase a patient is actually in.
Catalog record
| CREATOR | Marta Majewska, Mateusz A Maździarz, Ewa Lepiarczyk, Aleksandra Lipka, Marta Wiszpolska, Beata Moczulska, Elżbieta Łopieńska-Biernat, Piotr Iwanowicz |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 57197 |
| LICENSE | CC_BY |
| RIGHTS | CC BY |
| SOURCE | PLOS |