ReviewFrontiers in pharmacology2020
Chemokine Regulation During Epidemic Coronavirus Infection.
Review in Frontiers in pharmacology, 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
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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.
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, 27 citations in OpenAlex.
- The Extracellular Matrix and the Immune System in Acute Lung Injury: Partners in Damage and Repair.Biomedicines · 2025Review
- Cxcl10 is protective during mouse-adapted SARS-CoV-2 infection.Journal of leukocyte biology · 2025Article
- The Detection of COVID-19-Related Multivariate Biomarker Immune Response in Pediatric Patients: Statistical Aspects.Viruses · 2025Article
- Prospects for the Protective Mechanisms and Compounds of Bufei Huoxue Capsule against COVID-19 Convalescence: Evaluation of Integrating UHPLC-HRMS Analysis and Network Pharmacology Strategy.Combinatorial chemistry & high throughput screening · 2025Article
- Cxcl10 is required for survival during SARS-CoV-2 infection in mice.bioRxiv : the preprint server for biology · 2024Article
- Cysteine-cysteine Chemokine Receptor Type 5 Plays a Critical Role in Exercise Performance by Regulating Mitochondrial Content in Skeletal Muscle.Inflammation · 2023Article
- Dual spatially resolved transcriptomics for human host-pathogen colocalization studies in FFPE tissue sections.Genome biology · 2023Article
- Treatment with the senolytics dasatinib/quercetin reduces SARS-CoV-2-related mortality in mice.Aging cell · 2023Article
- Multi-omics personalized network analyses highlight progressive disruption of central metabolism associated with COVID-19 severity.Cell systems · 2022Article
- Rationale of using the dual chemokine receptor CCR2/CCR5 inhibitor cenicriviroc for the treatment of COVID-19.PLoS pathogens · 2022Review
- Woodsmoke particle exposure prior to SARS-CoV-2 infection alters antiviral response gene expression in human nasal epithelial cells in a sex-dependent manner.American journal of physiology. Lung cellular and molecular physiology · 2022Article
- COVID-19-specific transcriptomic signature detectable in blood across multiple cohorts.Frontiers in genetics · 2022Article
- Immune Responses in SARS-CoV-2, SARS-CoV, and MERS-CoV Infections: A Comparative Review.International journal of preventive medicine · 2022Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
SARS-CoV-2 (Severe Acute Respiratory Syndrome coronavirus-2) is the third coronavirus to emerge as a cause of severe and frequently fatal pneumonia epidemics in humans, joining SARS-CoV and MERS-CoV (Middle East Respiratory Syndrome-coronavirus). As with many infectious diseases, the immune response to coronavirus infection may act as a double-edged sword: necessary for promoting antiviral host defense, but, if not appropriately regulated, also able to incite life-threatening immunopathology. Key immunoregulatory mediators include the chemokines, a large family of leukocyte chemoattractants that coordinate leukocyte infiltration, positioning and activation in infected tissue by acting at specific G protein-coupled receptors. Here, we compare the involvement of chemokines and chemokine receptors during infection with the three epidemic coronaviruses and discuss their potential value as biomarkers and targets for therapeutic development.
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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.