Evidence map›Paper›PMID 39712015›Full record

ArticleFrontiers in immunology2024

Time-dependent variation in immunoparalysis biomarkers among patients with sepsis and critical illness.

Abigail Samuelsen, Erik Lehman, Parker Burrows, Anthony S Bonavia

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Microorganisms · 2026
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  4. Review
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  15. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Abigail SamuelsenDepartment of Anesthesiology and Perioperative Medicine, Penn State Medical Center, Hershey, PA, United States.
Erik LehmanDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, United States.
Parker BurrowsDepartment of Anesthesiology and Perioperative Medicine, Penn State Medical Center, Hershey, PA, United States.
Anthony S BonaviaDepartment of Anesthesiology and Perioperative Medicine, Penn State Medical Center, Hershey, PA, United States.

Funding

Integration of Immunologic Phenotyping with Computational Approaches to Predict Clinical Trajectory in Septic PatientsR35GM150695 · NIGMS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI Anthony S Bonavia · 2023 to 2026
$1.7M
NIGMS NIH HHS R35 GM150695
6 · The paper itself

Abstract

Introduction: Immunoparalysis is a state of immune dysfunction characterized by a marked reduction in the immune system's responsiveness, often observed following severe infections, trauma, or critical illness. This study aimed to perform a longitudinal assessment of immune function over the initial two weeks following the onset of sepsis and critical illness. Methods: We compared ex vivo-stimulated cytokine release from whole blood of critically ill patients to traditional markers of immunoparalysis, including monocyte Human Leukocyte Antigen (mHLA)-DR expression and absolute lymphocyte count (ALC). A total of 64 critically ill patients were recruited in a tertiary care academic medical setting, including 31 septic and 33 non-septic patients. Results: While mHLA-DR expression significantly increased over time, this was primarily driven by the non-septic subset of critically ill patients. ALC recovery was more pronounced in septic patients. Ex vivo stimulation of blood from septic patients revealed significant increases in TNF and IL-6 production over time. However, interferon-gamma production varied depending on the ex vivo stimulant used, and after normalization of cytokine concentrations to lymphocyte counts, it did not show significant recovery over time from illness onset. No significant correlation was found between mHLA-DR expression and other immunoparalysis biomarkers. Discussion: These findings suggest the need for more nuanced immune monitoring approaches beyond the traditional 'sepsis' versus 'non-sepsis' classifications in critically ill patients. Additionally, they provide further evidence of a potential window for targeted immunotherapy in the first weeks of critical illness.

Indexed as

BiomarkersCritical IllnessCytokinesSepsisAdultAgedFemaleHLA-DR AntigensHumansLymphocyte CountMaleMiddle AgedMonocytesTime FactorsBiomarkersCytokinesHLA-DR Antigenscritical illnessHLA-DRhuman leukocyte antigen-DRimmune monitoringimmunodeficiencyimmunoparalysislymphocyte countsepsis

Identifiers

PMID39712015
PMCPMC11659229

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.