Imaging-mediated genetic effects link brain microstructure, metabolic profiles, and regional transcription to glioma susceptibility - Summary - MDSpire

Imaging-mediated genetic effects link brain microstructure, metabolic profiles, and regional transcription to glioma susceptibility

  • By

  • Yufan Wu

  • Xuezhen Wang

  • Xinkai Wang

  • Lin Chen

  • Shiqi Huang

  • Mingwei Zhang

  • Jinsheng Hong

  • July 3, 2026

  • 0 min

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Objective:

To systematically characterize genetic links and mediation mechanisms between glioma susceptibility and brain microstructure, metabolic profiles, and region-specific gene expression.

Approach:
  • Study Design: Utilized GWAS data from 12,488 glioma cases and 18,169 controls, performing two-sample MR (TSMR) and summary data-based MR (SMR) analyses.
  • Data Evaluation: Evaluated 587 brain imaging-derived phenotypes, levels of 962 brain tissue metabolites, 440 cerebrospinal fluid metabolites, and 1,400 plasma metabolites.
  • Gene Expression Analysis: Conducted eQTL based gene expression analysis across 13 brain regions.
  • Mediation Analysis: Employed a two-step MR design for mediation analysis, focusing on the key gene HEATR3.
Key Findings:
  • Six IDPs significantly associated with all glioma subtypes were identified.
  • Elevated intracellular volume fraction (ICVF) in the corpus callosum and cingulum increased glioma risk.
  • Increased mean diffusivity (MD) in the posterior limb of the right internal capsule was protective.
  • HEATR3 expression across all brain regions significantly increases glioma risk.
  • Higher levels of orotate in plasma, CSF, and brain tissue significantly increase GBM risk.
Interpretation:

HEATR3's effect on glioma risk is partially mediated by specific white matter IDPs, and metabolic dysregulation, particularly involving orotate, plays a significant role in glioma development.

Limitations:
  • The study may not account for all potential confounding factors.
  • Findings are based on observational data, which may limit causal inferences.
Conclusion:

The study provides evidence for the roles of white matter microstructural abnormalities, metabolic dysregulation, and regional gene expression in glioma development.

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