NET-targeted therapy: effects, limitations, and potential strategies to enhance treatment efficacy
Trends in Pharmacological Sciences, ISSN: 0165-6147, Vol: 44, Issue: 9, Page: 622-634
2023
- 13Citations
- 16Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations13
- Citation Indexes13
- 13
- CrossRef3
- Captures16
- Readers16
- 16
Review Description
Neutrophil extracellular traps (NETs) are complex structures released by activated neutrophils during inflammatory responses. Due to their unique potential for causing tissue damage and modulating immune responses, there is increasing interest in studying these structures as potential targets for the treatment of infectious diseases, autoimmune diseases, and cancer. However, therapeutic targeting of NETs might trigger deleterious effects that may limit treatment efficacy. NET disruption may increase the microbial load in infection; in autoimmunity, NET targeting might impair peripheral tolerance, but it might reduce adaptive immune responses in cancer. In this review, we explore the therapeutic and deleterious effects of NET-targeted therapy while shedding light on novel strategies to overcome treatment-related limitations and enhance treatment efficacy.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0165614723001347; http://dx.doi.org/10.1016/j.tips.2023.06.007; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85166622769&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/37468402; https://linkinghub.elsevier.com/retrieve/pii/S0165614723001347; https://dx.doi.org/10.1016/j.tips.2023.06.007
Elsevier BV
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