Evidence map›Paper›PMID 31275311›Full record

ArticleFrontiers in immunology2019

A Modular Cytokine Analysis Method Reveals Novel Associations With Clinical Phenotypes and Identifies Sets of Co-signaling Cytokines Across Influenza Natural Infection Cohorts and Healthy Controls.

Liel Cohen, Andrew Fiore-Gartland, Adrienne G Randolph, Angela Panoskaltsis-Mortari, Sook-San Wong, Jacqui Ralston, Timothy Wood, Ruth Seeds, Q Sue Huang, Richard J Webby and 2 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
  2. Dupilumab Dampens Mucosal Type 2 Response During Acetylsalicylic Acid Challenge in N-ERD Patients.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2026
    Article
  3. Review
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  7. ZBP1-driven cell death in severe influenza.Trends in microbiology · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Biomarkers of Airway Immune Homeostasis Differ Significantly with Generation of E-Cigarettes.American journal of respiratory and critical care medicine · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

12 authors.

Liel CohenDepartment of Industrial Engineering and Management, Ben-Gurion University of the Negev, Be'er-Sheva, Israel.
Andrew Fiore-GartlandVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.
Adrienne G RandolphDepartment of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Boston, MA, United States.
Angela Panoskaltsis-MortariDepartment of Pediatrics, Bone Marrow Transplantation, Pulmonary and Critical Care Medicine, University of Minnesota, Minneapolis, MN, United States.
Sook-San WongState Key Laboratory of Respiratory Diseases, Guangzhou Medical University, Guangzhou, China.
Jacqui RalstonInstitute for Environmental Science and Research, National Centre for Biosecurity and Infectious Disease, Upper Hutt, New Zealand.
Timothy WoodInstitute for Environmental Science and Research, National Centre for Biosecurity and Infectious Disease, Upper Hutt, New Zealand.
Ruth SeedsInstitute for Environmental Science and Research, National Centre for Biosecurity and Infectious Disease, Upper Hutt, New Zealand.
Q Sue HuangInstitute for Environmental Science and Research, National Centre for Biosecurity and Infectious Disease, Upper Hutt, New Zealand.
Richard J WebbyDepartment of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN, United States.
Paul G ThomasDepartment of Immunology, St. Jude Children's Research Hospital, Memphis, TN, United States.
Tomer HertzNational Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Be'er-Sheva, Israel.

Funding

SDMC: HIV Vaccine Trials NetworkUM1AI068635 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert, Yunda Huang · 2011 to 2026
$385.9M
Southern Hemisphere Influenza and Vaccine Effectiveness Research and SurveillanceU01IP000480 · IP · INST OF ENVIRONMENTAL SCIENCE & RESEARCH · PI HUANG, SUE · 2011 to 2015
$7.0M
Genetic Epidemiology of Life-Threatening Influenza in ChildrenR01AI084011 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI RANDOLPH, ADRIENNE G · 2010 to 2013
$3.1M
Genetic Epidemiology of Life-Threatening Influenza Infection in ChildrenR56AI084011 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI RANDOLPH, ADRIENNE G · 2009 to 2009
$712k
NCIRD CDC HHS U01 IP000480NIAID NIH HHS HHSN266200700005CNIAID NIH HHS R01 AI084011NIAID NIH HHS R56 AI084011NIAID NIH HHS UM1 AI068635
6 · The paper itself

Abstract

Cytokines and chemokines are key signaling molecules of the immune system. Recent technological advances enable measurement of multiplexed cytokine profiles in biological samples. These profiles can then be used to identify potential biomarkers of a variety of clinical phenotypes. However, testing for such associations for each cytokine separately ignores the highly context-dependent covariation in cytokine secretion and decreases statistical power to detect associations due to multiple hypothesis testing. Here we present CytoMod-a novel data-driven approach for analysis of cytokine profiles that uses unsupervised clustering and regression to identify putative functional modules of co-signaling cytokines. Each module represents a biosignature of co-signaling cytokines. We applied this approach to three independent clinical cohorts of subjects naturally infected with influenza in which cytokine profiles and clinical phenotypes were collected. We found that in two out of three cohorts, cytokine modules were significantly associated with clinical phenotypes, and in many cases these associations were stronger than the associations of the individual cytokines within them. By comparing cytokine modules across datasets, we identified cytokine "cores"-specific subsets of co-expressed cytokines that clustered together across the three cohorts. Cytokine cores were also associated with clinical phenotypes. Interestingly, most of these cores were also co-expressed in a cohort of healthy controls, suggesting that in part, patterns of cytokine co-signaling may be generalizable. CytoMod can be readily applied to any cytokine profile dataset regardless of measurement technology, increases the statistical power to detect associations with clinical phenotypes and may help shed light on the complex co-signaling networks of cytokines in both health and infection.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkersChildChild, PreschoolCluster AnalysisCohort StudiesCytokinesDatasets as TopicDisease ProgressionGene Expression ProfilingHumansInfantInfluenza A virusBiomarkersCytokinesbiomarkerchemokinescytokinesinfluenzainnate immunology

Identifiers

PMID31275311
PMCPMC6594355

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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.