Evidence map›Paper›PMID 37831231›Full record

ArticleIntensive care medicine experimental2023

Comparison of whole blood cytokine immunoassays for rapid, functional immune phenotyping in critically ill patients with sepsis.

Anthony S Bonavia, Abigail Samuelsen, Menglu Liang, Jodi Hanson, Daniel McKeone, Zissis C Chroneos, E Scott Halstead

Open access · goldAbstract read
In one paragraph

Article in Intensive care medicine experimental, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 11% of its field
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

11 citing papers in PubMed, 10 citations in OpenAlex.

  1. Intracellular ATP Levels in CD4Journal of inflammation research · 2026
    Article
  2. Review
  3. Article
  4. IFNγ in human sepsis: a scoping review.Annals of intensive care · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Anthony S BonaviaDepartment of Anesthesiology and Perioperative Medicine, Penn State Milton S. Hershey Medical Center, Hershey, PA, USA. abonavia@pennstatehealth.psu.edu.ORCID http://orcid.org/0000-0001-9596-001X
Abigail SamuelsenDepartment of Anesthesiology and Perioperative Medicine, Penn State Milton S. Hershey Medical Center, Hershey, PA, USA.
Menglu LiangDepartment of Epidemiology and Biostatistics, School of Public Health, University of Maryland, Baltimore, MD, USA.
Jodi HansonCellular Technology, Shaker Heights, OH, USA.
Daniel McKeoneDepartment of Pediatrics, Penn State Milton S. Hershey Medical Center, Hershey, PA, USA.
Zissis C ChroneosDepartment of Pediatrics, Penn State Milton S. Hershey Medical Center, Hershey, PA, USA.
E Scott HalsteadDepartment of Pediatrics, Penn State Milton S. Hershey Medical Center, Hershey, PA, USA.
Penn State Milton S. Hershey Medical Center · USShaker Heights Public Library · USUniversity of Maryland, Baltimore · US

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
Resistin-induced immunosuppression increases susceptibility to infectious lung injury and sepsis during AKIK08GM138825 · NIGMS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI BONAVIA, ANTHONY S · 2020 to 2022
$604k
NIGMS NIH HHS K08 GM138825NIGMS NIH HHS K08GM138825NIGMS NIH HHS R35 GM150695
6 · The paper itself

Abstract

backgroundSepsis is characterized by highly heterogeneous immune responses associated with a spectrum of disease severity. Methods that rapidly and sensitively profile these immune responses can potentially personalize immune-adjuvant therapies for sepsis. We hypothesized that the ELLA microfluidic approach to measure cytokine production from the whole blood of septic and critically ill patients would deliver faster, more precise results than the existing optic-driven ELISpot quantification. We tested our hypothesis by measuring ex vivo-stimulated production of TNF and IFNγ in critically ill and septic patients (n = 22), critically ill and non-septic patients (n = 10), and healthy volunteers (n = 10) through both ELLA and ELISpot immunoassays. Blood samples were subjected to one of three stimulants for 4 h or 18 h durations during days 1, 7-10, and 14 of critical illness. Stimulants for lymphocytes included anti-CD3/anti-CD28 and phorbol 12-myristate 13-acetate (PMA), whereas LPS was used for monocytes. Stimulated TNF and IFNγ concentrations were then associated with 30-day mortality.

resultsBoth ELISpot and ELLA immunoassays showed substantial agreement in TNF concentrations post 4 h and 18 h LPS stimulation, with concordance correlation coefficients at 0.62 and 0.60, respectively. ELLA had a broad dynamic measurement range and provided accurate TNF and IFNγ readings at both minimal and elevated cytokine concentrations (with mean coefficients of variation between triplicate readings at 2.1 ± 1.4% and 4.9 ± 7.2%, respectively). However, there was no association between the ELLA-determined cytokine concentrations on the first day of critical illness and 30-day mortality rate. In contrast, using the ELISpot for cytokine quantification revealed that non-survivors had reduced baseline TNF levels at 18 h, decreased LPS-induced TNF levels at 18 h, and diminished TNF levels post 4 h/18 h anti-CD3/28 stimulation.

conclusionsOur study affirms the feasibility of obtaining dependable immune phenotyping data within 6 h of blood collection from critically ill patients, both septic and non-septic, using the ELLA immunoassay. Both ELLA and ELISpot can offer valuable insights into prognosis, therapeutic strategies, and the underlying mechanisms of sepsis development.

Indexed as

Critical IllnessCytokinesHumansImmunoassaySepsis

Identifiers

PMID37831231
PMCPMC10575832
OpenAlexW4387598881

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.