ReviewMetabolites2020
Lipidomics Issues on Human Positive ssRNA Virus Infection: An Update.
Review in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 15 citations in OpenAlex.
- Label-free quantification of early virus-induced cellular responses by digital holographic tomography.mSphere · 2026Article
- Mammarenaviruses depend on endogenous fatty acid synthesis in cell culture systems.Journal of lipid research · 2026Article
- Immune cells mediate the association between the plasma lipidome and pancreatic cancer: a Mendelian randomization analysis.Scientific reports · 2025Article
- Chikungunya Replication and Infection Is Dependent upon and Alters Cellular Hexosylceramide Levels in Vero Cells.Viruses · 2025Article
- Multi-platform omics analysis of Nipah virus infection reveals viral glycoprotein modulation of mitochondria.Cell reports · 2025Article
- EV71 infection alters the lipid composition of human rhabdomyosarcoma (RD) cells-derived extracellular vesicles.Frontiers in microbiology · 2024Article
- Emerging Treatment Approaches for COVID-19 Infection: A Critical Review.Current molecular medicine · 2024Review
- Structural and non-structural proteins in SARS-CoV-2: potential aspects to COVID-19 treatment or prevention of progression of related diseases.Cell communication and signaling : CCS · 2023Review
- Reduced circulating FABP2 in patients with moderate to severe COVID-19 may indicate enterocyte functional change rather than cell death.Scientific reports · 2022Article
- Non-Targeted Metabolomic Analysis of Chicken Kidneys in Response to Coronavirus IBV Infection Under Stress Induced by Dexamethasone.Frontiers in cellular and infection microbiology · 2022Article
- Coronavirus Infection and Cholesterol Metabolism.Frontiers in immunology · 2022Review
- Lipidome is lipids regulator in gastrointestinal tract and it is a life collar in COVID-19: A review.World journal of gastroenterology · 2021Review
- Potential Therapeutic Targets and Vaccine Development for SARS-CoV-2/COVID-19 Pandemic Management: A Review on the Recent Update.Frontiers in immunology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The pathogenic mechanisms underlying the Biology and Biochemistry of viral infections are known to depend on the lipid metabolism of infected cells. From a lipidomics viewpoint, there are a variety of mechanisms involving virus infection that encompass virus entry, the disturbance of host cell lipid metabolism, and the role played by diverse lipids in regard to the infection effectiveness. All these aspects have currently been tackled separately as independent issues and focused on the function of proteins. Here, we review the role of cholesterol and other lipids in ssRNA+ infection.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.