Gene Variant Related Neurological and Molecular Biomarkers Predict Psychosis Progression, with Potential for Monitoring and Prevention
Stephanie Fryar-Williams, Graeme Tucker, Peter Clements, Jörg Strobel, Maria A Bonifacio, Maria A Mariggiò · 2024
Read Gene Variant Related Neurological and Molecular Biomarkers Predict Psychosis Progression, with Potential for Monitoring and Prevention by Stephanie Fryar-Williams, Graeme Tucker, Peter Clements, Jörg Strobel, Maria A Bonifacio, Maria A Mariggiò (2024) 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/pmc-11677369.txt.
Description
A research team studied gene-linked biomarkers that may predict how psychosis unfolds, in this 2024 paper. The focus is a common variant in the MTHFR gene, known as C677T, which has been tied to brain disorders and schizophrenia. The team gathered data on people with schizophrenia or schizoaffective disorder and on controls.
The data covered risk factors, molecular and sensory measures, symptoms, and daily function, for 134 people in all. Statistical screens picked out biomarkers that predicted diagnosis and illness length. The team then ranked how strongly each marker tracked with the length of illness, by gene variant. One finding stands out: people with two copies of the T variant showed a mid-illness switch to depression and suicidality. They also showed a late shift in methylation, with active psychosis symptoms. Such markers could guide closer monitoring of high-risk patients.
Catalog record
| CREATOR | Stephanie Fryar-Williams, Graeme Tucker, Peter Clements, Jörg Strobel, Maria A Bonifacio, Maria A Mariggiò |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 93 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |