In-depth cerebrovascular lipidomics profiling for discovering novel biomarkers and mechanisms in moyamoya and intracranial atherosclerotic disease.

Int J Surg

Department of Neurosurgery, Fudan University Huashan Hospital, Neurosurgical Institute of Fudan University, Shanghai Clinical Medical Center of Neurosurgery, Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai 200040, China.

Published: October 2024

AI Article Synopsis

  • Researchers are exploring the lipidomic changes in Moyamoya Disease (MMD) to better understand its causes and differentiate it from similar conditions like Intracranial Atherosclerotic Disease (ICAD).
  • A lipidomics analysis of artery tissues from patients showed 569 lipid species and identified biomarkers that can effectively distinguish MMD from ICAD with high accuracy.
  • The study found interesting correlations between specific lipid levels and clinical factors, particularly linking lipid metabolism with plasma iron levels, which could help in understanding MMD pathogenesis and developing new therapies.

Article Abstract

Background: Despite considerable research efforts, the precise etiology and underlying pathways contributing to Moyamoya Disease (MMD) remain poorly understood. Moreover, the overlapping vascular pathologies shared between MMD and Intracranial Atherosclerotic Disease (ICAD) pose challenges in clinical differentiation, even with gold-standard cerebral angiography. An in-depth exploration of lipidomic alterations in cerebral intracranial MMD vessels could offer valuable insights into the pathogenesis of MMD-related mechanisms, encompassing MMD and ICAD, and unveil novel biomarkers and potential therapeutic targets. However, to date, comprehensive lipidomic profiling has been lacking.

Materials And Methods: To discover novel biomarkers and unravel the pathophysiological mechanisms underlying MMD, we conducted a lipidomics analysis to characterize various lipid species in matched human extracranial and intracranial artery tissues from patients diagnosed with MMD (n=99) and ICAD (n=12).

Results: Our analysis identified 569 lipid species and delineated a robust panel of lipidomic biomarkers capable of effectively distinguishing MMD from ICAD (area under curve=0.98), as determined by receiver operating characteristic curve analysis. Notably, we observed a significantly more pronounced positive correlation of diacylglycerols and a negative association of triglycerides in intracranial artery tissues of MMD patients compared to those with ICAD, suggesting a potential role of dysregulated diacylglycerol-induced signaling in MMD pathogenesis. Furthermore, our investigation into the correlations of critical differential intracranial artery vessel lipid species between MMD and ICAD and clinical parameters revealed negative associations with plasma iron levels, implying a potential link between plasma iron metabolism and artery lipid homeostasis during MMD pathogenesis.

Conclusion: These findings offer promising prospects for advancing clinical diagnosis for enhanced differentiation between the two disease conditions. Additionally, they shed light on the fundamental mechanisms implicated in MMD pathogenesis and suggest potential therapeutic avenues through targeting artery vessel lipids or plasma iron levels.

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Source
http://dx.doi.org/10.1097/JS9.0000000000002092DOI Listing

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