| Title |
Characterization of potential plasma biomarkers related to cognitive impairment by untargeted profiling of phospholipids using the HILIC-ESI-IT-TOF-MS system
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, March 2018
|
| DOI | 10.1007/s00216-018-0975-0 |
| Pubmed ID | |
| Authors |
Shuang Song, Ling-Zhi Cheong, Qing-Qing Man, Shao-Jie Pang, Yue-Qi Li, Biao Ren, Jian Zhang |
| Abstract |
Early diagnosis of neural changes causing cognitive impairment is critical for development of preventive therapies for dementia. Biomarkers currently characterized cannot be extensively applied due to the invasive sampling of cerebrospinal fluid. The other imaging approaches are either expensive or require a high technique. Phospholipids (PLs), which are basic constituents of neurons, might be a key variable in the pathogenesis of cognitive impairment. Changes in plasma PL provide the possibility for development of novel biomarkers with minimal invasion and high patient acceptance. In this work, a HILIC-ESI-IT-TOF-MS system was introduced for untargeted profiling of plasma PLs to investigate the relationship between changes of plasma PL profiles and cognitive impairment. A total of 272 types of PL molecular structures were characterized in human plasma and quantified through the internal standard method. Univariate analysis shows 29 PLs were significantly different between the control (n = 41) and the cognitive impairment (CI) group (n = 41). Multivariate analysis (PCA and OPLS-DA) was conducted based on these 29 potential PL biomarkers. Both univariate and multivariate analyses show abnormality of PL metabolism in the CI group, and the downregulation of ethanolamine plasmalogen (pPE) supply, especially those with PUFAs, in the circulation system should be strongly associated with neurodegeneration. A discriminative model was established with satisfied fit (R2) and prediction (Q2) abilities, and the classification test showed better recognition of the CI group than the control group indicating that this model of PL biomarkers could be used as indicators for screening of CI. Graphical abstract Characterization of potential plasma biomarkers related to cognitive impairment by untargeted profiling of phospholipids. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 23 | 37% |
| Student > Master | 4 | 6% |
| Student > Ph. D. Student | 4 | 6% |
| Other | 3 | 5% |
| Researcher | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 20 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 23 | 37% |
| Chemistry | 4 | 6% |
| Nursing and Health Professions | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Psychology | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 22 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 April 2018.
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#3,062,989
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#292
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Outputs of similar age
#61,846
of 349,574 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#10
of 204 outputs
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