دورية أكاديمية
The close association of micronutrients with COVID-19
| العنوان: | The close association of micronutrients with COVID-19 |
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| المؤلفون: | Aimin Zhang, Yue Yin, Jiashu Tian, Xialin Wang, Zhihong Yue, Lin Pei, Li Liu, Li Qin, Mei Jia, Hui Wang, Qingwei Ma, Wei-bo Gao, Lin-Lin Cao |
| المصدر: | Heliyon, Vol 10, Iss 7, Pp e28629- (2024) |
| بيانات النشر: | Elsevier, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Science (General) LCC:Social sciences (General) |
| مصطلحات موضوعية: | COVID-19, SARS-CoV-2, Micronutrient, Logistic regression, Mass spectrometry, Science (General), Q1-390, Social sciences (General), H1-99 |
| الوصف: | Objectives: The present study was conducted to explore the performance of micronutrients in the prediction and prevention of coronavirus disease 2019 (COVID-19). Methods: This is an observational case-control study. 149 normal controls (NCs) and 214 COVID-19 patients were included in this study. Fat-soluble and water-soluble vitamins were determined by liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis, and inorganic elements were detected by inductively coupled plasma-mass spectrometry (ICP-MS) analysis. A logistic regression model based on six micronutrients were constructed using DxAI platform. Results: Many micronutrients were dysregulated in COVID-19 compared to normal control (NC). 25-Hydroxyvitamin D3 [25(OH)D3], magnesium (Mg), copper (Cu), calcium (Ca) and vitamin B6 (pyridoxic acid, PA) were significantly independent risk factors for COVID-19. The logistic regression model consisted of 25(OH)D3, Mg, Cu, Ca, vitamin B5 (VB5) and PA was developed, and displayed a strong discriminative capability to differentiate COVID-19 patients from NC individuals [area under the receiver operating characteristic curve (AUROC) = 0.901]. In addition, the model had great predictive ability in discriminating mild/normal COVID-19 patients from NC individuals (AUROC = 0.883). Conclusions: Our study showed that micronutrients were associated with COVID-19, and our logistic regression model based on six micronutrients has potential in clinical management of COVID-19, and will be useful for prediction of COVID-19 and screening of high-risk population. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2405-8440 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2405844024046607; https://doaj.org/toc/2405-8440 |
| DOI: | 10.1016/j.heliyon.2024.e28629 |
| URL الوصول: | https://doaj.org/article/1e0b9f78bcde4809b892c6669412d2b0 |
| رقم الأكسشن: | edsdoj.1e0b9f78bcde4809b892c6669412d2b0 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 24058440 |
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| DOI: | 10.1016/j.heliyon.2024.e28629 |