Serum N-glycomic profiling identifies candidate biomarker panels for assessing coronary artery stenosis severity
Stenosis severity may escalate over the course of coronary artery disease (CAD), increasing the risk of death for the patient. Conventionally, the assessment of stenosis degree relies on invasive coronary angiography (ICA), an invasive examination unsuitable for patients in poor physical condition o...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024054744 |
| _version_ | 1827287938244804608 |
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| author | Linlin Wu Haoqi Liu Xuewen Xu Chenjun Huang Yueyue Li Xiao Xiao Yueping Zhan Chunfang Gao |
| author_facet | Linlin Wu Haoqi Liu Xuewen Xu Chenjun Huang Yueyue Li Xiao Xiao Yueping Zhan Chunfang Gao |
| author_sort | Linlin Wu |
| collection | DOAJ |
| description | Stenosis severity may escalate over the course of coronary artery disease (CAD), increasing the risk of death for the patient. Conventionally, the assessment of stenosis degree relies on invasive coronary angiography (ICA), an invasive examination unsuitable for patients in poor physical condition or those with contrast allergies and one that imposes a psychological burden on patients. Although abnormal serum N-glycan profiles have exhibited robust associations with various cardiovascular diseases, including CAD, their potential in diagnosing CAD stenosis remains to be determined. In this study, we performed a comprehensive analysis of serum N-glycome from 132 patients who underwent ICA and 27 healthy controls using MALDI-TOF-mass spectrometry. The patients who underwent ICA examination were categorized into four groups based on stenosis severity: no/mild/moderate/severe stenosis. Twenty-seven N-glycans were directly quantified, and 47 derived glycan traits were obtained. Notably, among these 74 glycan features, 18 exhibited variations across the study groups. Using a combination of least absolute shrinkage and selection operator and logistic regression analyses, we developed five diagnostic models for recognizing stenosis degree. Our results suggested that alterations in serum N-glycosylation modifications might be valuable for identifying stenosis degree and monitoring disease progression in individuals with CAD. It is expected to offer a noninvasive alternative for those who could not undergo ICA because of various reasons. However, the diagnostic potential of serum N-glycan panels as biomarkers requires multicenter, large cohort validation in the future. |
| first_indexed | 2024-04-24T11:21:30Z |
| format | Article |
| id | doaj.art-7dc290c38c4e401d90b5dc20b6cdde0a |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-24T11:21:30Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-7dc290c38c4e401d90b5dc20b6cdde0a2024-04-11T04:41:41ZengElsevierHeliyon2405-84402024-04-01107e29443Serum N-glycomic profiling identifies candidate biomarker panels for assessing coronary artery stenosis severityLinlin Wu0Haoqi Liu1Xuewen Xu2Chenjun Huang3Yueyue Li4Xiao Xiao5Yueping Zhan6Chunfang Gao7Department of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, ChinaDepartment of Cardiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, ChinaDepartment of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, ChinaDepartment of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, ChinaShanghai Cancer Center and Institutes of Biomedical Sciences and Department of Chemistry and NHC Key Laboratory of Glycoconjugates Research, Fudan University, ChinaDepartment of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, ChinaDepartment of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, ChinaDepartment of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, China; Corresponding author.Stenosis severity may escalate over the course of coronary artery disease (CAD), increasing the risk of death for the patient. Conventionally, the assessment of stenosis degree relies on invasive coronary angiography (ICA), an invasive examination unsuitable for patients in poor physical condition or those with contrast allergies and one that imposes a psychological burden on patients. Although abnormal serum N-glycan profiles have exhibited robust associations with various cardiovascular diseases, including CAD, their potential in diagnosing CAD stenosis remains to be determined. In this study, we performed a comprehensive analysis of serum N-glycome from 132 patients who underwent ICA and 27 healthy controls using MALDI-TOF-mass spectrometry. The patients who underwent ICA examination were categorized into four groups based on stenosis severity: no/mild/moderate/severe stenosis. Twenty-seven N-glycans were directly quantified, and 47 derived glycan traits were obtained. Notably, among these 74 glycan features, 18 exhibited variations across the study groups. Using a combination of least absolute shrinkage and selection operator and logistic regression analyses, we developed five diagnostic models for recognizing stenosis degree. Our results suggested that alterations in serum N-glycosylation modifications might be valuable for identifying stenosis degree and monitoring disease progression in individuals with CAD. It is expected to offer a noninvasive alternative for those who could not undergo ICA because of various reasons. However, the diagnostic potential of serum N-glycan panels as biomarkers requires multicenter, large cohort validation in the future.http://www.sciencedirect.com/science/article/pii/S2405844024054744N-glycomic profilingBiomarkersMass spectrometryCoronary artery stenosis |
| spellingShingle | Linlin Wu Haoqi Liu Xuewen Xu Chenjun Huang Yueyue Li Xiao Xiao Yueping Zhan Chunfang Gao Serum N-glycomic profiling identifies candidate biomarker panels for assessing coronary artery stenosis severity Heliyon N-glycomic profiling Biomarkers Mass spectrometry Coronary artery stenosis |
| title | Serum N-glycomic profiling identifies candidate biomarker panels for assessing coronary artery stenosis severity |
| title_full | Serum N-glycomic profiling identifies candidate biomarker panels for assessing coronary artery stenosis severity |
| title_fullStr | Serum N-glycomic profiling identifies candidate biomarker panels for assessing coronary artery stenosis severity |
| title_full_unstemmed | Serum N-glycomic profiling identifies candidate biomarker panels for assessing coronary artery stenosis severity |
| title_short | Serum N-glycomic profiling identifies candidate biomarker panels for assessing coronary artery stenosis severity |
| title_sort | serum n glycomic profiling identifies candidate biomarker panels for assessing coronary artery stenosis severity |
| topic | N-glycomic profiling Biomarkers Mass spectrometry Coronary artery stenosis |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024054744 |
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