Evidence map›Paper›PMID 38524125›Full record

ArticleFrontiers in immunology2024

Distinct functional neutrophil phenotypes in sepsis patients correlate with disease severity.

Qingliang Yang, Jordan C Langston, Roman Prosniak, Samantha Pettigrew, Huaqing Zhao, Edwin Perez, Hannah Edelmann, Nadia Mansoor, Carmen Merali, Salim Merali and 4 more

Open access · goldAbstract 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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Leveraging Microphysiological Systems to Facilitate Neutrophil-Based Cancer Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Guidelines for evaluating endothelial function in vascular tissue.American journal of physiology. Heart and circulatory physiology · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Bridging the Gap Between Static Histology and Dynamic Organ-on-a-Chip Models.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026
    Review
  10. Article
  11. Article
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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

14 authors at 2 institutions in 1 country.

Qingliang Yang *Department of Mechanical Engineering, College of Engineering, Temple University, Philadelphia, PA, United States.
Jordan C Langston *Department of Bioengineering, College of Engineering, Temple University, Philadelphia, PA, United States.
Roman ProsniakDepartment of Thoracic Medicine and Surgery, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States.
Samantha PettigrewDepartment of Thoracic Medicine and Surgery, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States.
Huaqing ZhaoDepartment of Biomedical Education and Data Science, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States.
Edwin PerezCenter for Inflammation and Lung Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States.
Hannah EdelmannCenter for Inflammation and Lung Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States.
Nadia MansoorCenter for Inflammation and Lung Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States.
Carmen MeraliSchool of Pharmacy, Temple University, Philadelphia, PA, United States.
Salim MeraliSchool of Pharmacy, Temple University, Philadelphia, PA, United States.
Nathaniel MarchettiDepartment of Thoracic Medicine and Surgery, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States.
Balabhaskar PrabhakarpandianBiomedical Technology, CFD Research Corporation, Huntsville, AL, United States.
Mohammad F KianiDepartment of Mechanical Engineering, College of Engineering, Temple University, Philadelphia, PA, United States.
Laurie E KilpatrickDepartment of Thoracic Medicine and Surgery, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States.
Temple University · USCFD Research Corporation (United States) · US

Funding

Multi-organ omic model for sepsis therapeutic developmentF31AI164870 · NIAID · TEMPLE UNIV OF THE COMMONWEALTH · PI LANGSTON, JORDAN COLE · 2021 to 2023
$110k
NIAID NIH HHS F31 AI164870
6 · The paper itself

Abstract

Purpose: Sepsis is a clinical syndrome defined as life-threatening organ dysfunction caused by a dysregulated host response to infection. Sepsis is a highly heterogeneous syndrome with distinct phenotypes that impact immune function and response to infection. To develop targeted therapeutics, immunophenotyping is needed to identify distinct functional phenotypes of immune cells. In this study, we utilized our Organ-on-Chip assay to categorize sepsis patients into distinct phenotypes using patient data, neutrophil functional analysis, and proteomics. Methods: Following informed consent, neutrophils and plasma were isolated from sepsis patients in the Temple University Hospital ICU (n=45) and healthy control donors (n=7). Human lung microvascular endothelial cells (HLMVEC) were cultured in the Organ-on-Chip and treated with buffer or cytomix ((TNF/IL-1β/IFNγ). Neutrophil adhesion and migration across HLMVEC in the Organ-on-Chip were used to categorize functional neutrophil phenotypes. Quantitative label-free global proteomics was performed on neutrophils to identify differentially expressed proteins. Plasma levels of sepsis biomarkers and neutrophil extracellular traps (NETs) were determined by ELISA. Results: We identified three functional phenotypes in critically ill ICU sepsis patients based on Conclusion: Neutrophils and NETs play a critical role in vascular barrier dysfunction in sepsis and elevated NETs may be a key biomarker identifying the Hyperimmune group. Our results establish significant associations between specific neutrophil functional phenotypes and disease severity and identify important functional parameters in sepsis pathophysiology that may provide a new approach to classify sepsis patients for specific therapeutic interventions.

Indexed as

NeutrophilsSepsisBiomarkersEndothelial CellsHumansPatient AcuityPhenotypeProteomicsBiomarkersneutrophil extracellular trapsneutrophil heterogeneityOrgan-on-Chipproteomicssepsis

Identifiers

PMID38524125
PMCPMC10957777
OpenAlexW4392626773

What OpenQuestion holds

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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.