ArticlemSphere2026
Increased triacylglyceride and ceramide levels are key for MERS-CoV replication.
Article in mSphere, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Measles virus reprograms CD4Frontiers in cell and developmental biology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Emerging viruses remain a threat to human health; however, many aspects of their infection cycle are still poorly understood. Host lipid structures and abundances are observed to be significantly altered during infection, and the mechanisms regulating lipid synthesis and modification remain largely unknown. In this work, we analyzed a large multi-omic data set from three Middle East respiratory syndrome coronavirus (MERS-CoV)-infected primary human lung cell types, all derived from three distinct donors to investigate the changes in lipid species during infection. Analysis of lipidomics data identified perturbations of various lipid classes, and we hypothesized and confirmed that MERS-CoV infection orchestrates an increase in ceramide via sphingomyelinase pathways required for infection. We also identified a minor subset of proteins with lipid-related functions with increased differential expression among a striking majority of lipid-related proteins with decreased differential expression. The most prominent of these is ACSL3, a long-chain acyl-CoA synthetase that is key for the synthesis of triacylglycerides and is associated with lipid droplet formation, an established feature of coronavirus-infected cells. Accordingly, the inhibition of acyl-CoA synthetase activity reduced MERS-CoV replication. These results suggest a model wherein coronaviruses perturb overall cellular metabolism to shift resources to the production of ceramides and triacylglycerides, particularly through acyl-CoA synthetase activity. Our findings suggest a strategy for targeting CoV replication through the inhibition of specific subsets of lipid metabolism. IMPORTANCE: Combating emerging viral threats requires an in-depth understanding of how the virus commandeers host resources to facilitate replication. Viral particles are comprised of protein and lipids; hence, the synthesis of both is critical for virus spread. Our studies have demonstrated that the synthesis of two lipid species, ceramides and triacylglycerides, is essential for Middle East respiratory syndrome coronavirus replication and that virus replication is impaired if these synthetic pathways are blocked. These results suggest a model wherein coronaviruses perturb overall cellular metabolism to shift resources to the production of ceramides and triacylglycerides. Our findings suggest a strategy for targeting coronavirus replication through the inhibition of specific subsets of lipid metabolism.
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.