ArticleFrontiers in immunology2021
Cytokine Signature Associated With Disease Severity in COVID-19.
Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 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
58 citing papers in PubMed, 84 citations in OpenAlex.
- Virus reactivation in acute and long COVID-19.Nature · 2026Article
- Association of IL-1β, IL-6, IL-8, IL-12, TNF-α, and IFN-α With Severe Pediatric COVID-19 and Multisystem Inflammatory Syndrome.Biomarker insights · 2026Article
- Integrated miR-omics and proteomics reveal the regulatory role of miR in protein networks associated with COVID-19 disease progression.Frontiers in immunology · 2026Article
- MixOmics Integration of Biological Datasets Identifies Highly Correlated Variables of COVID-19 Severity.International journal of molecular sciences · 2025Article
- Exploratory analyses of leukocyte responses in hospitalized patients treated with ozanimod following a severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) infection.Immunology and cell biology · 2025Article
- Tuberculosis Trends in the Post-COVID-19 Era: Is It Going to be a Global Concern?Health science reports · 2025Article
- Post-transfusion activation of coagulation pathways during severe COVID-19 correlates with COVID-19 convalescent plasma antibody profiles.The Journal of clinical investigation · 2025Article
- LYN and CYBB are pivotal immune and inflammatory genes as diagnostic biomarkers in recurrent spontaneous abortion.Frontiers in immunology · 2025Article
- Neuropsychiatric Manifestations of COVID-19 Disease and Post COVID Syndrome: The Role of N-acetylcysteine and Acetyl-L-carnitine.Current neuropharmacology · 2025Review
- The fibrin-derived peptide FX06 protects human pulmonary endothelial cells against the COVID-19-triggered cytokine storm.Frontiers in immunology · 2025Article
- Chronic Viral Reactivation and Associated Host Immune Response and Clinical Outcomes in Acute COVID-19 and Post-Acute Sequelae of COVID-19.bioRxiv : the preprint server for biology · 2024Article
- Immunopathological markers and cell types linked to COVID-19 symptom manifestation.BMC infectious diseases · 2024Article
- Microfluidic Immunoarray for Point-of-Care Detection of Cytokines in COVID-19 Patients.ACS omega · 2024Article
- Interleukin-1 Receptor Antagonist Gene (IL1RN) Variants Modulate the Cytokine Release Syndrome and Mortality of COVID-19.The Journal of infectious diseases · 2024Article
- Serum cytokine dysregulation signatures associated with COVID-19 outcomes in high mortality intensive care unit cohorts across pandemic waves and variants.Scientific reports · 2024Article
- A Perspective on How Fibrinaloid Microclots and Platelet Pathology May be Applied in Clinical Investigations.Seminars in thrombosis and hemostasis · 2024Review
- Multi-cohort study on cytokine and chemokine profiles in the progression of COVID-19.Scientific reports · 2024Article
- Biomarkers and sepsis severity as predictors of mechanical ventilation and mortality in COVID-19.Heliyon · 2024Article
- Article
- Impact of social distancing from the COVID-19 pandemic on the immuno-inflammatory response of older adults.BMC geriatrics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronavirus disease 2019 (COVID-19) broke out and then became a global epidemic at the end of 2019. With the increasing number of deaths, early identification of disease severity and interpretation of pathogenesis are very important. Aiming to identify biomarkers for disease severity and progression of COVID-19, 75 COVID-19 patients, 34 healthy controls and 23 patients with pandemic influenza A(H1N1) were recruited in this study. Using liquid chip technology, 48 cytokines and chemokines were examined, among which 33 were significantly elevated in COVID-19 patients compared with healthy controls. HGF and IL-1β were strongly associated with APACHE II score in the first week after disease onset. IP-10, HGF and IL-10 were correlated positively with virus titers. Cytokines were significantly correlated with creatinine, troponin I, international normalized ratio and procalcitonin within two weeks after disease onset. Univariate analyses were carried out, and 6 cytokines including G-CSF, HGF, IL-10, IL-18, M-CSF and SCGF-β were found to be associated with the severity of COVID-19. 11 kinds of cytokines could predict the severity of COVID-19, among which IP-10 and M-CSF were excellent predictors for disease severity. In conclusion, the levels of cytokines in COVID-19 were significantly correlated with the severity of the disease in the early stage, and serum cytokines could be used as warning indicators of the severity and progression of COVID-19. Early stratification of disease and intervention to reduce hypercytokinaemia may improve the prognosis of COVID-19 patients.
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.