The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
A prospective analysis of lymphocyte phenotype and function over the course of acute sepsis
Open accessAbstract
Introduction: Severe sepsis is characterized by an initial hyper-inflammatory response that may progress to an immune-suppressed state associated with increased susceptibility to nosocomial infection. Analysis of samples obtained from patients who died of sepsis has identified expression of specific inhibitory receptors expressed on lymphocytes that are associated with cell exhaustion. The objective of this study was to prospectively determine the pattern of expression of these receptors and immune cell function in patients with acute sepsis. Methods: Twenty-four patients with severe sepsis were enrolled within 24 hours of the onset of sepsis, as were 12 age-matched healthy controls. Peripheral blood was obtained at enrollment and again seven days later. Immune cell subsets and receptor expression were extensively characterized by quantitative flow cytometry. Lymphocyte function was assayed by stimulated cytokine secretion and proliferation assays. Results were also correlated to clinical outcome. Results: At the onset of severe sepsis, patients had decreased circulating innate and adaptive immune cells and elevated lymphocyte expression of receptors associated with cell activation compared to controls. Samples analyzed seven days later demonstrated increased expression of the inhibitory receptors CTLA4, TIM-3 and LAG-3 on T lymphocytes accompanied by decreased expression of the IL-7 receptor. Functional assays revealed impaired secretion of interferon γ following stimulation in vitro, which was reversible by incubation overnight in fresh media. Impaired secretion of IFNγ correlated with death or development of secondary infection. Conclusions: Lymphocytes from patients with acute sepsis upregulate expression of receptors associated with cell exhaustion, which may contribute to the immune suppressed state that occurs in protracted disease. Therapy that reverses T cell exhaustion may restore immune function in immunocompromised patients and improve survival in sepsis.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Myeloid-derived-suppressor cells as regulators of the immune system
Gabrilovich, D. I., & Nagaraj, S. (2009) · Nature Reviews Immunology · doi:10.1038/nri2506 · Cited by 6,753
Wherry, E. J. (2011) · Nature Immunology · doi:10.1038/ni.2035 · Cited by 4,062
The immunopathogenesis of sepsis
Cohen, J. (2002) · Nature · doi:10.1038/nature01326 · Cited by 2,742
PD-1 expression on HIV-specific T cells is associated with T-cell exhaustion and disease progression
Day, C. L., Kaufmann, D. E., Kiepiela, P., Brown, J. A., Moodley, E. S., Reddy, S., Mackey, E. W., Miller, J. D., Leslie, A. J., DePierres, C., et al. (2006) · Nature · doi:10.1038/nature05115 · Cited by 2,680
Molecular Signature of CD8+ T Cell Exhaustion during Chronic Viral Infection
Wherry, E. J., Ha, S.-J., Kaech, S. M., Haining, W. N., Sarkar, S., Kalia, V., Subramaniam, S., Blattman, J. N., Barber, D. L., & Ahmed, R. (2007) · Immunity · doi:10.1016/j.immuni.2007.09.006 · Cited by 2,103
Monocyte deactivation in septic patients: Restoration by IFN-γ treatment
Döcke, W.-D., Randow, F., Syrbe, U., Krausch, D., Asadullah, K., Reinke, P., Volk, H.-D., & Kox, W. (1997) · Nature Medicine · doi:10.1038/nm0697-678 · Cited by 1,190
Cited by
A blood atlas of COVID-19 defines hallmarks of disease severity and specificity
Ahern, D. J., Ai, Z., Ainsworth, M., Allan, C., Allcock, A., Angus, B., Ansari, M. A., Arancibia-Cárcamo, C. V., Aschenbrenner, D., Attar, M., et al. (2022) · Cell · doi:10.1016/j.cell.2022.01.012 · Cited by 328
The changing immune system in sepsis: Is individualized immuno-modulatory therapy the answer?
Boomer, J. S., Green, J. M., & Hotchkiss, R. S. (2014) · Virulence · doi:10.4161/viru.26516 · Cited by 317
Self-citationImmune dysregulation in sepsis: experiences, lessons and perspectives
Cao, M., Wang, G., & Xie, J. (2023) · Cell Death Discovery · doi:10.1038/s41420-023-01766-7 · Cited by 259
Khamri, W., Abeles, R. D., Hou, T. Z., Anderson, A. E., El-Masry, A., Triantafyllou, E., Bernsmeier, C., Larsen, F. S., Singanayagam, A., Kudo, N., et al. (2017) · Gastroenterology · doi:10.1053/j.gastro.2017.03.023 · Cited by 49
Metadata
- Authors
- Boomer, J. S., Shuherk-Shaffer, J., Hotchkiss, R. S., & Green, J. M.
- Venue
- Critical Care
- Published
- 2012-06-28
- Volume
- 16
- Issue
- 3
- Pages
- R112-R112
- ISSN
- 1364-8535 (ISSN-L)
- OpenAlex
- W2158510250
- Cited by
- 243
- References
- 6
- FWCI
- 8.40
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A prospective analysis of lymphocyte phenotype and function over the course of acute sepsis. https://app.cochat.ai/papers/10.1186/cc11404
- The paper
- Boomer, J. S., Shuherk-Shaffer, J., Hotchkiss, R. S., & Green, J. M. (2012). A prospective analysis of lymphocyte phenotype and function over the course of acute sepsis. Critical Care. https://doi.org/10.1186/cc11404
Data sources
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.