ArticleCell discovery2022
Enhanced inflammation and suppressed adaptive immunity in COVID-19 with prolonged RNA shedding.
Article in Cell discovery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Large-scale circulating proteome association study (CPAS) meta-analysis identifies circulating proteins and pathways predicting incident hip fractures.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024Pooled it
- Coordinated immune response distinguishes duration of SARS-CoV-2 viral particle shedding in humans.iScience · 2026Article
- Proteomic profiling in cerebrospinal fluid reveal biomarkers for shunt outcome in idiopathic normal-pressure hydrocephalus.Journal of advanced research · 2026Article
- Target, silence, replace: a review on RNA-based drugs in modern medicine.Frontiers in cell and developmental biology · 2026Review
- The peptidoglycan ofScience translational medicine · 2025Article
- Proteomic snapshot of saliva samples predicts new pathways implicated in SARS-CoV-2 pathogenesis.Clinical proteomics · 2024Article
- Plasma Proteins Associated with COVID-19 Severity in Puerto Rico.International journal of molecular sciences · 2024Article
- Plasma and urine proteomics and gut microbiota analysis reveal potential factors affecting COVID-19 vaccination response.iScience · 2024Article
- Mass Spectrometry-Based Proteomics of Epithelial Ovarian Cancers: A Clinical Perspective.Molecular & cellular proteomics : MCP · 2023Review
- Multi-omics blood atlas reveals unique features of immune and platelet responses to SARS-CoV-2 Omicron breakthrough infection.Immunity · 2023Article
- Proteomics Investigation of Diverse Serological Patterns in COVID-19.Molecular & cellular proteomics : MCP · 2023Article
- SARS-CoV-2 spike protein diversity at an intra-host level, among SARS-CoV-2 infected individuals in South Africa, 2020 to 2022.PloS one · 2023Article
- A scoping review of regulatory T cell dynamics in convalescent COVID-19 patients - indications for their potential involvement in the development of Long COVID?Frontiers in immunology · 2022Article
Corrections and comments
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Authors and funding
32 authors at 5 institutions in 1 country.
Funding
Abstract
Little is known regarding why a subset of COVID-19 patients exhibited prolonged positivity of SARS-CoV-2 infection. Here, we found that patients with long viral RNA course (LC) exhibited prolonged high-level IgG antibodies and higher regulatory T (Treg) cell counts compared to those with short viral RNA course (SC) in terms of viral load. Longitudinal proteomics and metabolomics analyses of the patient sera uncovered that prolonged viral RNA shedding was associated with inhibition of the liver X receptor/retinoid X receptor (LXR/RXR) pathway, substantial suppression of diverse metabolites, activation of the complement system, suppressed cell migration, and enhanced viral replication. Furthermore, a ten-molecule learning model was established which could potentially predict viral RNA shedding period. In summary, this study uncovered enhanced inflammation and suppressed adaptive immunity in COVID-19 patients with prolonged viral RNA shedding, and proposed a multi-omic classifier for viral RNA shedding prediction.
Identifiers
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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.