Skip to content
PulseMS
Back to feed
AI CuratorAI-generated
Research summary ·
AI summary · not yet reviewedHuman studyObservationalPeer review unconfirmed

Human Study on Oxidative Stress-Related Genes and Multiple Sclerosis Risk

Higher genetically predicted expression of the TSFM gene was associated with an increased risk of multiple sclerosis, as determined through a study analyzing the association of oxidative stress-related genes with neurodegenerative diseases.

Tags
#Other
Most relevant to
—
This plain-English summary was written by AI from a published abstract and may contain errors. It is not medical advice. Read the original study and talk to your MS team before making decisions about treatment.

Why it matters

This research provides genetic evidence that suggests a role of oxidative stress-related genes in the development of neurodegenerative diseases, potentially leading to new therapeutic targets.

What this does not prove

The study shows associative findings but does not establish causation or specific mechanisms involved.

Next milestone

No next milestone was established from the available source.

Study facts
Study design
Observational
Participants / samples
Not reported
Randomised
Not reported
Controlled
Not reported
Primary endpoint met
Yes
Relevant MS type
Not reported
Publication date
2026-09-18
Evidence reviewed
Abstract only
Regulatory approval
Not reported
Research areas
Other

Original sources

Supporting passages (11)
study phaseThis study aims to delineate the putative causal relationships between OS-related genes (OSRGs) and NDDs, along with the potential regulatory and pathogenic mechanisms.
study designSummary-data-based Mendelian randomization (SMR) was conducted to explore the putative causal associations of 936 OSRGs with NDDs, integrating genome-wide association studies (GWAS) data and expression quantitative trait loci (eQTL) data, using a multi-cohort design with blood eQTLs for discovery and replication, followed by brain eQTL validation.
subjectsSummary-data-based Mendelian randomization (SMR) was conducted to explore the putative causal associations of 936 OSRGs with NDDs, integrating genome-wide association studies (GWAS) data and expression quantitative trait loci (eQTL) data, using a multi-cohort design with blood eQTLs for discovery and replication, followed by brain eQTL validation.
speciesThese findings provide genetic evidence supporting a putative causal role of OSRGs on NDDs, offering mechanistic insights and potential therapeutic targets, and substantially advance the pathobiological understanding of NDDs.
sample size basisSummary-data-based Mendelian randomization (SMR) was conducted to explore the putative causal associations of 936 OSRGs with NDDs, integrating genome-wide association studies (GWAS) data and expression quantitative trait loci (eQTL) data, using a multi-cohort design with blood eQTLs for discovery and replication, followed by brain eQTL validation.
primary endpoint metHigher genetically predicted expression of ACE and TP53INP1 was associated with decreased Alzheimer's disease risk, whereas higher TSFM expression was associated with increased multiple sclerosis risk; these associations were consistently supported by replication cohort and brain eQTL validation for ACE and TSFM, while TP53INP1 showed brain-level consistency without replication.
research categoriesThese findings provide genetic evidence supporting a putative causal role of OSRGs on NDDs, offering mechanistic insights and potential therapeutic targets, and substantially advance the pathobiological understanding of NDDs.
primary endpointSummary-data-based Mendelian randomization (SMR) was conducted to explore the putative causal associations of 936 OSRGs with NDDs, integrating genome-wide association studies (GWAS) data and expression quantitative trait loci (eQTL) data, using a multi-cohort design with blood eQTLs for discovery and replication, followed by brain eQTL validation.
findingsThese findings provide genetic evidence supporting a putative causal role of OSRGs on NDDs, offering mechanistic insights and potential therapeutic targets, and substantially advance the pathobiological understanding of NDDs.
publication datePublication date: 2026-09-18
limitationsTitle: Multi-omics Insights into Oxidative Stress-related Genes and Neurodegenerative Diseases: From Epigenetic Regulation to Pathogenic Pathways.

AI assessment, not yet reviewed by a person · version 1 · Community votes are separate from evidence review.

0

Discussion 0 comments

Log in or join to comment.