The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
COVID-19 Patients Upregulate Toll-like Receptor 4-mediated Inflammatory Signaling That Mimics Bacterial Sepsis
Open accessAbstract
BACKGROUND: Observational studies of the ongoing coronavirus disease 2019 (COVID-19) outbreak suggest that a 'cytokine storm' is involved in the pathogenesis of severe illness. However, the molecular mechanisms underlying the altered pathological inflammation in COVID-19 are largely unknown. We report here that toll-like receptor (TLR) 4-mediated inflammatory signaling molecules are upregulated in peripheral blood mononuclear cells (PBMCs) from COVID-19 patients, compared with healthy controls (HC). METHODS: A total of 48 subjects including 28 COVID-19 patients (8 severe/critical vs. 20 mild/moderate cases) admitted to Chungnam National University Hospital, and age/sex-matched 20 HC were enrolled in this study. PBMCs from the subjects were processed for nCounter Human Immunology gene expression assay to analyze the immune related transcriptome profiles. Recombinant proteins of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) were used to stimulate the PBMCs and monocyte-derived macrophages, and real-time polymerase chain reaction was performed to quantify the mRNA expressions of the pro-inflammatory cytokines/chemokines. RESULTS: Among the most highly increased inflammatory mediators in severe/critically ill patients, S100A9, an alarmin and TLR4 ligand, was found as a noteworthy biomarker, because it inversely correlated with the serum albumin levels. We also observed that recombinant S2 and nucleocapsid proteins of SARS-CoV-2 significantly increased pro-inflammatory cytokines/chemokines and S100A9 in human primary PBMCs. CONCLUSION: These data support a link between TLR4 signaling and pathological inflammation during COVID-19 and contribute to develop therapeutic approaches through targeting TLR4-mediated inflammation.
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Cites
Dexamethasone in Hospitalized Patients with Covid-19
The RECOVERY Collaborative Group (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2021436 · Cited by 11,477
Effect of Dexamethasone in Hospitalized Patients with COVID-19 – Preliminary Report
Horby, P., Lim, W. S., Emberson, J., Mafham, M., Bell, J., Linsell, L., Staplin, N., Brightling, C., Ustianowski, A., Elmahi, E., et al. (2020) · doi:10.1101/2020.06.22.20137273 · Cited by 11,475
Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China
Qin, C., Zhou, L., Hu, Z., Zhang, S., Yang, S., Tao, Y., Xie, C., Ma, K., Shang, K., Wang, W., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa248 · Cited by 4,775
Henry, B. M., de Oliveira, M. H. S., Benoit, S., Plebani, M., & Lippi, G. (2020) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2020-0369 · Cited by 1,964
The interleukin-1 family: back to the future
Garlanda, C., Dinarello, C. A., & Mantovani, A. (2013) · Immunity · doi:10.1016/j.immuni.2013.11.010 · Cited by 1,945
Wang, S., Song, R., Wang, Z., Jing, Z., Wang, S., & Ma, J. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.01298 · Cited by 1,450
Xiong, Y., Liu, Y., Cao, L., Wang, D., Guo, M., Jiang, A., Guo, D., Hu, W., Yang, J., Tang, Z., et al. (2020) · Emerging Microbes & Infections · doi:10.1080/22221751.2020.1747363 · Cited by 1,076
Premkumar, L., Segovia-Chumbez, B., Jadi, R., Martinez, D. R., Raut, R., Markmann, A. J., Cornaby, C., Bartelt, L., Weiss, S., Park, Y., et al. (2020) · Science Immunology · doi:10.1126/sciimmunol.abc8413 · Cited by 868
Toll-Like Receptor Pathways in Autoimmune Diseases
Chen, J.-Q., Szodoray, P., & Zeher, M. (2016) · Clinical Reviews in Allergy & Immunology · doi:10.1007/s12016-015-8473-z · Cited by 315
Cited by
Aboudounya, M. M., & Heads, R. J. (2021) · Mediators of Inflammation · doi:10.1155/2021/8874339 · Cited by 346
Metadata
- Authors
- Sohn, K. M., Lee, S.-G., Kim, H. J., Cheon, S., Jeong, H., Lee, J., Kim, I. S., Silwal, P., Kim, Y. J., Paik, S., Chung, C., Park, C., Kim, Y.-S., & Jo, E.-K.
- Venue
- Journal of Korean Medical Science
- Publisher
- XMLink
- Published
- 2020
- Volume
- 35
- Issue
- 38
- Pages
- e343-e343
- ISSN
- 1011-8934 (ISSN-L)
- 1598-6357
- OpenAlex
- W3085500933
- Cited by
- 199
- References
- 12
- FWCI
- 4.74
- Type
- journal article
- Language
- en
- Open access
- gold
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- Sohn, K. M., Lee, S.-G., Kim, H. J., Cheon, S., Jeong, H., Lee, J., Kim, I. S., Silwal, P., Kim, Y. J., Paik, S., Chung, C., Park, C., Kim, Y.-S., & Jo, E.-K. (2020). COVID-19 Patients Upregulate Toll-like Receptor 4-mediated Inflammatory Signaling That Mimics Bacterial Sepsis. Journal of Korean Medical Science. https://doi.org/10.3346/jkms.2020.35.e343
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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