Chronic Obstructive Pulmonary Disease Patients Have Increased Levels of Plasma Inflammatory Mediators Reported Upregulated in Severe COVID-19

Acevedo, Nathalie; Escamilla-Gil, Jose Miguel; Espinoza, Héctor; Regino, Ronald; Ramírez, Jonathan; Arco, Lucila Florez de; Dennis, Rodolfo; Torres‐Duque, Carlos A.; Caraballo, Luis

doi:10.3389/fimmu.2021.678661

Cited by 10 publications

(7 citation statements)

References 40 publications

(50 reference statements)

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“…Elevated levels of EN-RAGE have been shown to correlate to increased inflammation in response to COVID-19 (Thwaites et al, 2021), including in asymptomatic cases up to 8 months after infection (Tserel et al, 2021). It has also been found elevated in the blood plasma of subjects with chronic obstructive pulmonary disease (COPD) versus healthy controls (Acevedo et al, 2021), a disease which is associated with higher risk of hospitalization, ICU admission, and mortality from COVID-19 (Gerayeli et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Proteomic profiling identifies biomarkers of COVID-19 severity

Harriott

Ryan

2022

Preprint

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SARS-CoV-2 infection remains a major public health concern, particularly for the aged and those individuals with co-morbidities at risk for developing severe COVID-19. Understanding the pathogenesis and biomarkers associated with responses to SARS-CoV-2 infection remain critical components in developing effective therapeutic approaches, especially in cases of severe and long-COVID-19. In this study blood plasma protein expression was compared in subjects with mild, moderate, and severe COVID-19 disease. Evaluation of an inflammatory protein panel confirms upregulation of proteins including TNFβ, IL-6, IL-8, IL-12, already associated with severe cytokine storm and progression to severe COVID-19. Importantly, we identify several proteins not yet associated with COVID-19 disease, including mesothelin (MSLN), that are expressed at significantly higher levels in severe COVID-19 subjects. In addition, we find a subset of markers associated with T-cell and dendritic cell responses to viral infection that are significantly higher in mild cases and decrease in expression as severity of COVID-19 increases, suggesting that an immediate and effective activation of T-cells is critical in modulating disease progression. Together, our findings identify new targets for further investigation as therapeutic approaches for the treatment of SARS-CoV-2 infection and prevention of complications of severe COVID-19.

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Section: Discussionmentioning

confidence: 99%

Proteomic profiling identifies biomarkers of COVID-19 severity

Harriott

Ryan

2022

Preprint

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“…Unexpectedly, smoking and COPD were not correlated to the need for hospitalization, as opposed to the literature [ 14 , 18 , 32 ]. Both conditions are associated with higher expression of ACE2 in epithelial bronchial and pulmonary cells [ 19 ] and systemic inflammatory dysregulation [ 54 ]. However, chronic respiratory diseases, yet associated with a higher risk of COVID-19 progression and mortality, were not associated with an augmented risk of hospitalization [ 55 ].…”

Section: Discussionmentioning

confidence: 99%

A Machine Learning Model for Predicting Hospitalization in Patients with Respiratory Symptoms during the COVID-19 Pandemic

Freitas

Chiloff

Bosso

et al. 2022

JCM

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A machine learning approach is a useful tool for risk-stratifying patients with respiratory symptoms during the COVID-19 pandemic, as it is still evolving. We aimed to verify the predictive capacity of a gradient boosting decision trees (XGboost) algorithm to select the most important predictors including clinical and demographic parameters in patients who sought medical support due to respiratory signs and symptoms (RAPID RISK COVID-19). A total of 7336 patients were enrolled in the study, including 6596 patients that did not require hospitalization and 740 that required hospitalization. We identified that patients with respiratory signs and symptoms, in particular, lower oxyhemoglobin saturation by pulse oximetry (SpO2) and higher respiratory rate, fever, higher heart rate, and lower levels of blood pressure, associated with age, male sex, and the underlying conditions of diabetes mellitus and hypertension, required hospitalization more often. The predictive model yielded a ROC curve with an area under the curve (AUC) of 0.9181 (95% CI, 0.9001 to 0.9361). In conclusion, our model had a high discriminatory value which enabled the identification of a clinical and demographic profile predictive, preventive, and personalized of COVID-19 severity symptoms.

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“…A meta-analysis indicated that patients with comorbid chronic obstructive pulmonary diseases (COPD) and chronic respiratory diseases were more susceptible to severe COVID-19, while no association between asthma and severe COVID-19 was identified [ 11 ]. Acevedo et al [ 12 ] reported that patients suffering from COPD had increased levels of 41 plasma proteins, mainly related to the inflammatory response, which is also characteristic for patients with severe COVID-19 infection. Although some studies identified a positive correlation between some pulmonary conditions, such as COPD and severe COVID-19 on the clinical level [ 11 ], the genetic basis of this correlation could not be identified, even in the large studies including populations of various ethnicities [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Gene Variants Related to Cardiovascular and Pulmonary Diseases May Correlate with Severe Outcome of COVID-19

Sypniewski

Król

Szyda

et al. 2022

IJMS

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Background: Severe outcomes of COVID-19 account for up to 15% of all cases. The study aims to check if any gene variants related to cardiovascular (CVD) and pulmonary diseases (PD) are correlated with a severe outcome of COVID-19 in a Polish cohort of COVID-19 patients. Methods: In this study, a subset of 747 samples from unrelated individuals collected across Poland in 2020 and 2021 was used and whole-genome sequencing was performed. Results: The GWAS analysis of SNPs and short indels located in genes related to CVD identified one variant significant in COVID-19 severe outcome in the HADHA gene, while for the PD gene panel, we found two significant variants in the DRC1 gene. In this study, both potentially protective and risk variants were identified, of which variants in the HADHA gene deserve the most attention. Conclusions: This is the first study reporting the association between the HADHA and DRC1 genetic variants and COVID-19 severe outcome based on the cohort WGS analysis. Although all the identified variants are localised in introns, they may be correlated and therefore inherited along with other risk variants, potentially causative to severe outcome of COVID-19 but not discovered yet.

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Chronic Obstructive Pulmonary Disease Patients Have Increased Levels of Plasma Inflammatory Mediators Reported Upregulated in Severe COVID-19

Cited by 10 publications

References 40 publications

Proteomic profiling identifies biomarkers of COVID-19 severity

Proteomic profiling identifies biomarkers of COVID-19 severity

A Machine Learning Model for Predicting Hospitalization in Patients with Respiratory Symptoms during the COVID-19 Pandemic

Gene Variants Related to Cardiovascular and Pulmonary Diseases May Correlate with Severe Outcome of COVID-19

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