» Articles » PMID: 18475727

Regulation by Anti-inflammatory Cytokines (IL-4, IL-10, IL-13, TGFbeta)of Interleukin-8 Production by LPS- And/ or TNFalpha-activated Human Polymorphonuclear Cells

Overview
Publisher Wiley
Specialties Biochemistry
Pathology
Date 1996 Jan 1
PMID 18475727
Citations 31
Authors
Affiliations
Soon will be listed here.
Abstract

The capacity to down-regulate the production of IL-8 by LPS-activated human polymorphonuclear cells (PMN) has been demonstrated for IL-4, IL-10, and TGFbeta. We compared their relative capacities and further extended this property to IL-13. We report a great heterogeneity among individuals related to the responsiveness of PMN to the IL-4 and IL-13 inhibitory effects while their response to the IL-10 effect was homogenous. The inhibitory activities were observed at the transcriptional level. IL-8 induction by TNFalpha was, unlike its induction by LPS, resistant to the inhibitory effects of IL-10, IL-4, IL-13 and TGFbeta. Furthermore, IL-10 and IL-4 inhibitory activity were less effective when TNFalpha was acting synergistically with LPS to induce IL-8 production by PMN. LPS-induced cell-associated IL-8, detected in the PMN cultures, could be marginally inhibited by IL-4 and IL-10. Altogether, our data demonstrate that IL-13 is able to inhibit LPS-induced IL-8 production by human PMN, although IL-10 remains the most active anti-inflammatory cytokine. Despite the capacity of IL-4, IL-10, and IL-13 to limit the production of TNFalpha-induced IL-8 in a whole blood assay, none was able to inhibit this production when studying isolated human polymorphonuclear cells.

Citing Articles

PepNet: an interpretable neural network for anti-inflammatory and antimicrobial peptides prediction using a pre-trained protein language model.

Han J, Kong T, Liu J Commun Biol. 2024; 7(1):1198.

PMID: 39341947 PMC: 11438969. DOI: 10.1038/s42003-024-06911-1.


A deep learning model for anti-inflammatory peptides identification based on deep variational autoencoder and contrastive learning.

Xu Y, Zhang S, Zhu F, Liang Y Sci Rep. 2024; 14(1):18451.

PMID: 39117712 PMC: 11310449. DOI: 10.1038/s41598-024-69419-y.


Therapeutically Fine-Tuning Autonomic Nervous System to Treat Sepsis: A New Perspective on the Immunomodulatory Effects of Acupuncture.

Zhang Z, Zhang D, Lin Q, Cui X J Inflamm Res. 2024; 17:4373-4387.

PMID: 38988505 PMC: 11233988. DOI: 10.2147/JIR.S477181.


Secretomes of M1 and M2 macrophages decrease the release of neutrophil extracellular traps.

Manda-Handzlik A, Cieloch A, Kuzmicka W, Mroczek A, Stelmaszczyk-Emmel A, Demkow U Sci Rep. 2023; 13(1):15633.

PMID: 37730741 PMC: 10511515. DOI: 10.1038/s41598-023-42167-1.


Prediction of anti-inflammatory peptides by a sequence-based stacking ensemble model named AIPStack.

Deng H, Lou C, Wu Z, Li W, Liu G, Tang Y iScience. 2022; 25(9):104967.

PMID: 36093066 PMC: 9449674. DOI: 10.1016/j.isci.2022.104967.


References
1.
Miller E, Cohen A, Nagao S, Griffith D, Maunder R, Martin T . Elevated levels of NAP-1/interleukin-8 are present in the airspaces of patients with the adult respiratory distress syndrome and are associated with increased mortality. Am Rev Respir Dis. 1992; 146(2):427-32. DOI: 10.1164/ajrccm/146.2.427. View

2.
Hewett J, Schultze A, VanCise S, Roth R . Neutrophil depletion protects against liver injury from bacterial endotoxin. Lab Invest. 1992; 66(3):347-61. View

3.
Fujishima S, Hoffman A, Vu T, Kim K, Zheng H, Daniel D . Regulation of neutrophil interleukin 8 gene expression and protein secretion by LPS, TNF-alpha, and IL-1 beta. J Cell Physiol. 1993; 154(3):478-85. DOI: 10.1002/jcp.1041540305. View

4.
Girard D, Paquin R, Naccache P, Beaulieu A . Effects of interleukin-13 on human neutrophil functions. J Leukoc Biol. 1996; 59(3):412-9. DOI: 10.1002/jlb.59.3.412. View

5.
Wang P, Wu P, Anthes J, Siegel M, Egan R, Billah M . Interleukin-10 inhibits interleukin-8 production in human neutrophils. Blood. 1994; 83(9):2678-83. View