ArticleThe University of Louisville journal of respiratory infections2017
Using cluster analysis of cytokines to identify patterns of inflammation in hospitalized patients with community-acquired pneumonia: a pilot study.
Article in The University of Louisville journal of respiratory infections, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 24 citations in OpenAlex.
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- Pneumonia-Plus: a deep learning model for the classification of bacterial, fungal, and viral pneumonia based on CT tomography.European radiology · 2023Article
- Hypoxic human proximal tubular epithelial cells undergo ferroptosis and elicit an NLRP3 inflammasome response in CD1cCell death & disease · 2022Article
- The White Blood Cell Response in Sputum in Viral and Bacterial Pneumonias.Open forum infectious diseases · 2022Article
- Effective mathematical modelling of health passes during a pandemic.Scientific reports · 2022Article
- Inhalation of nebulized omega-3 fatty acids mitigate LPS-induced acute lung inflammation in rats: Implications for treatment of COPD and COVID-19.Prostaglandins, leukotrienes, and essential fatty acids · 2022Article
- Performance of Machine Learning Algorithms for Predicting Adverse Outcomes in Community-Acquired Pneumonia.Frontiers in bioengineering and biotechnology · 2022Article
- Immunotherapy of COVID-19 with poly (ADP-ribose) polymerase inhibitors: starting with nicotinamide.Bioscience reports · 2020Review
- Fueling Clinical and Translational Research in Appalachia: Informatics Platform Approach.JMIR medical informatics · 2020Article
- Predicting 30-day mortality of patients with pneumonia in an emergency department setting using machine-learning models.Clinical and experimental emergency medicine · 2020Article
- The elevated systemic cytokine levels in HIV patients are not associated with an elevated pulmonary cytokine environment.Cytokine · 2020Article
- Pneumonia in young adults with asthma: impact on subsequent asthma exacerbations.Journal of asthma and allergy · 2019Article
- Influenza and Viral Pneumonia.Clinics in chest medicine · 2018Review
- Circulating miRNAs in sepsis-A network under attack: An in-silico prediction of the potential existence of miRNA sponges in sepsis.PloS one · 2017Article
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Authors and funding
13 authors at 4 institutions in 3 countries.
Funding
Abstract
introductionPatients with severe community-acquired pneumonia (CAP) are believed to have an exaggerated inflammatory response to bacterial infection. Therapies aiming to modulate the inflammatory response have been largely unsuccessful, perhaps reflecting that CAP is a heterogeneous disorder that cannot be modulated by a single anti-inflammatory approach. We hypothesize that the host inflammatory response to pneumonia may be characterized by distinct cytokine patterns, which can be harnessed for personalized therapies.
methodsHere, we use hierarchical cluster analysis of cytokines to examine if patterns of inflammatory response in 13 hospitalized patients with CAP can be defined. This was a secondary data analysis of the Community-Acquired Pneumonia Inflammatory Study Group (CAPISG) database. The following cytokines were measured in plasma and sputum on the day of admission: interleukin (IL)-1β, IL-1 receptor antagonist (IL-1ra), IL-6, CXCL8 (IL-8), IL-10, IL-12p40, IL-17, interferon (IFN)
resultsA total of thirteen patients were included in this pilot study. Cluster analysis identified distinct inflammatory response patterns of cytokines in the plasma, sputum, and the ratio of plasma to sputum.
conclusionsInflammatory response patterns in plasma and sputum can be identified in hospitalized patients with CAP. Characterization of the local and systemic inflammatory response may help to better discriminate patients for enrollment into clinical trials of immunomodulatory therapies.
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