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Article
Yong-Dong Li
Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
Corresponding Author
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We investigated lipidomic features from healthy controls (HCs), patients with unruptured cerebral aneurysms (UCAs) and ruptured CAs (RCAs) to analyze their lipidomic profiles and identify a lipid signature associated with CAs. Patients (n = 540) were enrolled from two centers. We identified significantly altered plasma lipids in 2 cohort with the total lipid intensity decreasing from HC to UCA to RCA. Triglycerides comprised the distinct profile of lipids in CAs. A four-lipid signatures showed good calibration and diagnostic prediction for CA vs. HC and UCA vs. RCA, but independent discriminate CA from HC, UCA from RCA, and RCA (RI and RII) or UCA (UI and UII) subtypes, in training and validation cohorts. Comprehensive lipidomic profiles identified decreased lipids as a prominent feature of CA development, and a four-lipid signature could not only better diagnose and predict UCAs/RCAs from HCs, but also predicted patients subtypes with severe RCA or high-risk UCA.
Keywords
Cerebral aneurysm, lipidomics, liquid chromatography–mass spectrometry, triglyceride, non-negative matrix factorization
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- SupplementaryMaterials.docx
Extended Data 1,Extended Data 1
- SupplementaryMaterials.docx
Extended data 1 and Extended data 2
- rsflat.pdf
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This is a preprint. It has not completed peer review.
Article
Yong-Dong Li
Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 01 Apr, 2021
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
We investigated lipidomic features from healthy controls (HCs), patients with unruptured cerebral aneurysms (UCAs) and ruptured CAs (RCAs) to analyze their lipidomic profiles and identify a lipid signature associated with CAs. Patients (n = 540) were enrolled from two centers. We identified significantly altered plasma lipids in 2 cohort with the total lipid intensity decreasing from HC to UCA to RCA. Triglycerides comprised the distinct profile of lipids in CAs. A four-lipid signatures showed good calibration and diagnostic prediction for CA vs. HC and UCA vs. RCA, but independent discriminate CA from HC, UCA from RCA, and RCA (RI and RII) or UCA (UI and UII) subtypes, in training and validation cohorts. Comprehensive lipidomic profiles identified decreased lipids as a prominent feature of CA development, and a four-lipid signature could not only better diagnose and predict UCAs/RCAs from HCs, but also predicted patients subtypes with severe RCA or high-risk UCA.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
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