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Cited by 355

The DOI matches its Crossref record; 138 of the 138 references it cites were found in a registry or an index.

Sepsis-Induced Immunosuppression

Open access
Torres, Lisa K., Pickkers, Peter, van der Poll, Tom·2022·Annual Review of Physiology

Abstract

Sepsis is expected to have a substantial impact on public health and cost as its prevalence increases. Factors contributing to increased prevalence include a progressively aging population, advances in the use of immunomodulatory agents to treat a rising number of diseases, and immune-suppressing therapies in organ transplant recipients and cancer patients. It is now recognized that sepsis is associated with profound and sustained immunosuppression, which has been implicated as a predisposing factor in the increased susceptibility of patients to secondary infections and mortality. In this review, we discuss mechanisms of sepsis-induced immunosuppression and biomarkers that identify a state of impaired immunity. We also highlight immune-enhancing strategies that have been evaluated in patients with sepsis, as well as therapeutics under current investigation. Finally, we describe future challenges and the need for a new treatment paradigm, integrating predictive enrichment with patient factors that may guide the future selection of tailored immunotherapy.

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Crossref · 10.1146/annurev-physiol-061121-040214

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Metadata

Authors
Torres, L. K., Pickkers, P., & van der Poll, T.
Venue
Annual Review of Physiology
Published
2022-02-10
Volume
84
Issue
1
Pages
157-181
ISSN
  • 0066-4278 (ISSN-L)
  • 1545-1585
OpenAlex
W3210828635
Cited by
355
References
138
FWCI
10.45
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Sepsis-Induced Immunosuppression. https://app.cochat.ai/papers/10.1146/annurev-physiol-061121-040214
The paper
Torres, L. K., Pickkers, P., & van der Poll, T. (2022). Sepsis-Induced Immunosuppression. Annual Review of Physiology. https://doi.org/10.1146/annurev-physiol-061121-040214

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.