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Background: Coronavirus disease-2019 (COVID-19) is a global pandemic. Studies reported dyslipidemia in patients with COVID-19. Herein, we conducted a systematic review and meta-analysis of published articles to evaluate the association of the lipid profile with the severity and mortality in COVID-19 patients.
Methods: PubMed/Medline, Europe PMC, and Google Scholar were searched for studies published between January 1, 2020 and January 13, 2021. Random or Fixed effects models were used to calculate the mean difference (MD) and 95% confidence intervals (CIs). Statistical heterogeneity was assessed using Cochran's Q test and I statistics.
Results: This meta-analysis included 19 studies. Of which, 12 studies were categorized by severity, 04 studies by mortality, and 03 studies by both severity and mortality. Our findings revealed significantly decreased levels of total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) in the severe group when compared with the non-severe group in a random effect model. Similarly, random effect model results demonstrated significantly lower levels of HDL-C and LDL-C in the non-survivor group when compared with the survivor group. The level of TC was also found to be decreased in the non-survivor group when compared to the survivor group in a fixed-effect model.
Conclusion: In conclusion, the lipid profile is associated with both the severity and mortality in COVID-19 patients. Hence, the lipid profile may be used for assessing the severity and prognosis of COVID-19.
Prospero Registration Number: CRD42021216316.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8325550 | PMC |
http://dx.doi.org/10.1016/j.clnesp.2021.07.023 | DOI Listing |
Arterioscler Thromb Vasc Biol
September 2025
Vascular Biology Program, Boston Children's Hospital and Harvard Medical School, MA (K. Cui, B.Z., B.W., S.E.-B., A.V., H.C.).
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View Article and Find Full Text PDFNat Commun
September 2025
Institute of Computational Biology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany.
Atherosclerosis, a major cause of cardiovascular diseases, is characterized by the buildup of lipids and chronic inflammation in the arteries, leading to plaque formation and potential rupture. Despite recent advances in single-cell transcriptomics (scRNA-seq), the underlying immune mechanisms and transformations in structural cells driving plaque progression remain incompletely defined. Existing datasets often lack comprehensive coverage and consistent annotations, limiting the utility of downstream analyses.
View Article and Find Full Text PDFSci Justice
September 2025
Department of Forensic Science, People's Public Security University of China, Beijing 100038, China. Electronic address:
As a critical frontier in forensic science, the profiling of physical evidence characteristics has garnered substantial attention. This study employed gas chromatography-mass spectrometry (GC-MS) to investigate age-related differences in sebaceous fingermark fatty acid compositions. Fingermark samples from 80 volunteers were analyzed to characterize fatty acid profiles across different age groups.
View Article and Find Full Text PDFHorm Metab Res
September 2025
Department of Obstetrics, Fujian Maternity and Child Health Hospital, Fuzhou, China.
The non-insulin-based metabolic score for insulin resistance (METS-IR) is a recently developed index aimed at being a practical and efficient alternative biomarker of insulin resistance (IR). This study aimed to investigate the association between METS-IR in euthyroid women in the first trimester of pregnancy and pregnancy outcomes. A total of 1810 participants who gave birth at Fujian Maternity and Child Health Hospital from November 2018 to November 2019 were included in this study.
View Article and Find Full Text PDFJ Control Release
September 2025
Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3G9, Canada; The Keenan Research Centre for Biomedical Science of St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario M5B 1T8, Canada; Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario M
Microfluidic hydrodynamic focusing (HF) has emerged as a powerful platform for the controlled synthesis of lipid nanoparticles (LNPs) and liposomes, offering superior precision, reproducibility, and scalability compared to traditional batch methods. However, the impact of HF inlet configuration and channel geometry on nanoparticle formation remains poorly understood. In this study, we present a comprehensive experimental and computational analysis comparing 2-inlet (2-way) and 4-inlet (4-way) HF designs across various sheath inlet angles (45°, 90°, 135°) and cross-sectional geometries (square vs.
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