Regulation of Immunity and Disease by the IL-1 Receptor Family Members IL-1R2 and IL-1R8

Molgora, Martina; Supino, Domenico; Garlanda, Cecília

doi:10.1007/978-3-319-77658-3_10

Cited by 1 publication

(2 citation statements)

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“…IL-6 also issues a warning signal in the event of tissue damage. Damage-associated molecular patterns (DAMPs), which are released from damaged or dying cells in non-infectious inflammations such as burns or trauma, directly or indirectly promote inflammation . In additions, a significant increase in TNFα is also shown at 48 h (5.81 to 37.47 pg/mL) (see Table ).…”

Section: Resultsmentioning

confidence: 99%

“…Damage-associated molecular patterns (DAMPs), which are released from damaged or dying cells in non-infectious inflammations such as burns or trauma, directly or indirectly promote inflammation. 64 In additions, a significant increase in TNFα is also shown at 48 h (5.81 to 37.47 pg/mL) (see Table 4). TNFα regulates several fundamental biological events of the cells, such as the activation of leukocytes, the release of various cytokines and chemokines, and the production of reactive oxygen species (ROS) and nitrogen intermediates can also play an inflammatory biological role.…”

Section: Theoretical Modelingmentioning

confidence: 86%

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Perturbation Theory Machine Learning Modeling of Immunotoxicity for Drugs Targeting Inflammatory Cytokines and Study of the Antimicrobial G1 Using Cytometric Bead Arrays

Tenorio-Borroto

Castañedo

Garcı́a-Mera

et al. 2019

Chem. Res. Toxicol.

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ChEMBL biological activities prediction for 1–5-bromofur-2-il-2-bromo-2-nitroethene (G1) is a difficult task for cytokine immunotoxicity. The current study presents experimental results for G1 interaction with mouse Th1/Th2 and pro-inflammatory cytokines using a cytometry bead array (CBA). In the in vitro test of CBA, the results show no significant differences between the mean values of the Th1/Th2 cytokines for the samples treated with G1 with respect to the negative control, but there are moderate differences for cytokine values between different periods (24/48 h). The experiments show no significant differences between the mean values of the pro-inflammatory cytokines for the samples treated with G1, regarding the negative control, except for the values of tumor necrosis factor (TNF) and Interleukin (IL6) between the group treated with G1 and the negative control at 48 h. Differences occur for these cytokines in the periods (24/48 h). The study confirmed that the antimicrobial G1 did not alter the Th1/Th2 cytokines concentration in vitro in different periods, but it can alter TNF and IL6. G1 promotes free radicals production and activates damage processes in macrophages culture. In order to predict all ChEMBL activities for drugs in other experimental conditions, a ChEMBL data set was constructed using 25 biological activities, 1366 assays, 2 assay types, 4 assay organisms, 2 organisms, and 12 cytokine targets. Molecular descriptors calculated with Rcpi and 15 machine learning methods were used to find the best model able to predict if a drug could be active or not against a specific cytokine, in specific experimental conditions. The best model is based on 120 selected molecular descriptors and a deep neural network with area under the curve of the receiver operating characteristic of 0.904 and accuracy of 0.832. This model predicted 1384 G1 biological activities against cytokines in all ChEMBL data set experimental conditions.

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Section: Resultsmentioning

confidence: 99%

Section: Theoretical Modelingmentioning

confidence: 86%