COVID-19 Clinical Research Studies

Plasma cell-free DNA promise disease monitoring and tissue injury assessment of COVID-19

This study analyzes cell-free DNA in COVID-19 patients to show its potential for disease monitoring and tissue injury assessment.

Molecular mechanisms of Cardiac Injury associated with myocardial SARS-CoV-2 infection

This study identifies differentially expressed genes and pathways in SARS-CoV-2-infected cardiomyocytes, revealing immune-inflammatory responses and inhibited cellular functions contributing to myocardial injury.

Th1, Th2 and Th17 inflammatory pathways synergistically correlate with cardiometabolic processes. A case study in COVID-19.

The paper investigates how Th1, Th2, and Th17 inflammatory pathways interact with cardiometabolic proteins in COVID-19 patients using OLINK proteomics data.

Gene Expression Risk Scores for COVID-19 Illness Severity

The paper develops a gene expression risk score to predict severe COVID-19 illness using peripheral blood samples and validates it in independent cohorts.

Age-dependent impact of the major common genetic risk factor for COVID-19 on severity and mortality

This study examines how a major genetic risk factor for COVID-19 affects mortality and severity, finding stronger effects in younger adults.

Japan COVID-19 Task Force: a nation-wide consortium to elucidate host genetics of COVID-19 pandemic in Japan

The paper reports a genome-wide association study of COVID-19 in a Japanese population, identifying a novel risk variant associated with severe disease in younger patients.

Deciphering the role of the Pancreatic Secretome in Covid-19 associated Multi-Organ Dysfunctions

The paper investigates the role of the SARS-CoV-2 infected pancreas secretome in multi-organ dysfunctions using scRNA-seq and identifies upregulated genes and secretory proteins linked to various organ systems and diseases.

Host transcriptional response to SARS-CoV-2 infection in COVID-19 patients

This study identifies transcriptional changes in SARS-CoV-2 infected patients, showing upregulation of innate immunity and downregulation of sensory and neuro-related genes, linked to clinical symptoms.

Co-expression analysis to identify key modules and hub genes associated with COVID19 in Platelets

The paper uses co-expression analysis to identify gene modules and hub genes associated with COVID19 in platelets, revealing pathways linked to platelet activation and thrombosis.

Covid19Risk.ai: An open source repository and online calculator of prediction models for early diagnosis and prognosis of Covid-19

The paper presents an open-source platform hosting predictive models for COVID-19 diagnosis and prognosis, enabling clinicians to use validated models in clinical practice.

SELP Asp603Asn and severe thrombosis in COVID-19 males: implication for anti P-selectin monoclonal antibodies treatment

The paper identifies a genetic variant in the SELP gene associated with increased thrombosis risk in male COVID-19 patients, suggesting potential for anti-P-selectin antibody therapy.

Discovery of potential imaging and therapeutic targets for severe inflammation in COVID-19 patients

The paper identifies potential imaging and therapeutic targets for severe COVID-19 inflammation by analyzing single-cell RNA-seq data from patient samples.

Coagulation factors and COVID-19 severity: Mendelian randomization analyses and supporting evidence

This paper uses Mendelian randomization to identify causal links between coagulation factors and COVID-19 severity, finding VWF and ADAMTS13 as significant factors.

AI-guided discovery of the invariant host response to viral pandemics

The paper identifies a conserved 166-gene host immune signature across viral pandemics, with a 20-gene subset predicting disease severity and guiding therapeutic strategies.

Neutrophils cause critical illness in COVID-19 and reveal CDK6 inhibitors as potential treatment

The paper identifies high neutrophil count as a causal trait in severe COVID-19 and suggests CDK6 inhibitors as potential treatment.

Distinct immune responses in patients infected with influenza or SARS-CoV-2, and in COVID-19 survivors, characterised by transcriptomic and cellular abundance differences in blood.

The paper compares immune responses in influenza and SARS-CoV-2 infected patients and COVID-19 survivors using transcriptomic data, identifying distinct immune signatures and prognostic indicators.

Plasma proteomics reveals tissue-specific cell death and mediators of cell-cell interactions in severe COVID-19 patients

The paper uses plasma proteomics to identify tissue-specific cell death and cell-cell interaction mediators in severe COVID-19 patients, linking them to survival outcomes and viral infection effects.

COVID-19 Biomarkers in research: Extension of the OncoMX cancer biomarker data model to capture biomarker data from other diseases.

The paper extends a cancer biomarker data model to create a COVID-19 biomarker knowledgebase, integrating 138 biomarkers and 265 type combinations with ontological annotations.

scRNA-seq reveals ACE2 and TMPRSS2 expression in TROP2+ Liver Progenitor Cells: Implications in COVID-19 associated Liver Dysfunction

The paper uses scRNA-seq to identify TROP2+ liver progenitor cells co-expressing ACE2 and TMPRSS2, suggesting they may be targets for SARS-CoV-2 infection and contribute to COVID-19-associated liver dysfunction.

IFN-γ and TNF-α drive a CXCL10+ CCL2+ macrophage phenotype expanded in severe COVID-19 and other diseases with tissue inflammation

The paper identifies a common inflammatory macrophage phenotype across severe COVID-19 and other inflammatory diseases, driven by IFN-γ and TNF-α, and suggests potential therapeutic targets.

Shorter androgen receptor polyQ alleles protect against life-threatening COVID-19 disease in males.

The paper identifies shorter androgen receptor polyQ alleles as protective against severe COVID-19 in males using machine learning on whole-exome sequencing data from the GEN-COVID cohort.

Follow-up of a hospital cohort during the first 3,530 suspected cases of COVID-19 in Sao Jose do Rio Preto, Sao Paulo, Brazil

The paper follows a hospital cohort of suspected COVID-19 cases in Brazil to identify the first cases and analyze symptom prevalence and risk factors.

Cell-Free DNA in Blood Reveals Significant Cell, Tissue and Organ Specific injury and Predicts COVID-19 Severity

This study uses cell-free DNA methylation profiling in plasma to identify organ-specific injury and predict COVID-19 severity in hospitalized patients.

Employing a Systematic Approach to Biobanking and Analyzing Genetic and Clinical Data for Advancing COVID-19 Research

The paper describes a biobanking initiative collecting genetic and clinical data from over 1,000 SARS-CoV-2-positive individuals to study multi-organ involvement and genetic factors in COVID-19 severity.

Single-cell RNA sequencing of Tocilizumab-treated peripheral blood mononuclear cells as an in vitro model of inflammation

This study uses single-cell RNA sequencing to analyze Tocilizumab-treated PBMCs, showing reduced inflammatory gene expression in monocytes, supporting its potential to mitigate cytokine storms in COVID-19.

In-depth blood proteome profiling analysis revealed distinct functional characteristics of plasma proteins between severe and non-severe COVID-19 patients

This study identifies 91 differentially expressed plasma proteins between severe and non-severe COVID-19 patients, highlighting potential biomarkers and therapeutic targets.

Prevalence of bacterial pathogens and potential role in COVID-19 severity in patients admitted to intensive care units in Brazil

The paper identifies prevalent respiratory, nosocomial, and bacterial pathogens in Brazilian COVID-19 ICU patients and correlates their virulence factors with disease severity.

Host transcriptomic profiling of COVID-19 patients with mild, moderate, and severe clinical outcomes

The paper identifies molecular signatures and dysregulated pathways in COVID-19 patients with varying disease severity using transcriptome sequencing of nasopharyngeal swabs.

Identification of potential coagulation pathway abnormalities in SARS-Cov-2 infection; insights from bioinformatics analysis

The paper identifies upregulated procoagulant genes in SARS-CoV-2 infected pulmonary epithelial cells through RNA-seq analysis and pathway enrichment, suggesting fibrinolysis inhibition as a potential therapeutic target.

A 6-mRNA host response whole-blood classifier trained using patients with non-COVID-19 viral infections accurately predicts severity of COVID-19

The paper develops a 6-mRNA classifier using non-COVID-19 viral infection data to predict COVID-19 severity, achieving high accuracy in independent cohorts.