Evidence map›Paper›PMID 35931775›Full record

ArticleScientific reports2022

A systems immunology approach to investigate cytokine responses to viruses and bacteria and their association with disease.

Lijing Lin, John A Curtin, Eteri Regis, Aurica Hirsman, Rebecca Howard, Mauro Tutino, Michael R Edwards, Mattia Prosperi, Angela Simpson, Magnus Rattray and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Multi-omics Data Integration.Advances in experimental medicine and biology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Nanoparticles and cytokine response.Frontiers in bioengineering and biotechnology · 2023
    Review
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.

Lijing Lin *Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
John A Curtin *Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Eteri RegisNational Heart and Lung Institute, Asthma UK Centre in Allergic Mechanisms of Asthma, Imperial College London, London, UK.
Aurica HirsmanNational Heart and Lung Institute, Asthma UK Centre in Allergic Mechanisms of Asthma, Imperial College London, London, UK.
Rebecca HowardFaculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Mauro TutinoFaculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Michael R EdwardsNational Heart and Lung Institute, Asthma UK Centre in Allergic Mechanisms of Asthma, Imperial College London, London, UK.
Mattia ProsperiDepartment of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Florida, 32611, USA.
Angela SimpsonFaculty of Biology, Medicine and Health, University of Manchester, Manchester, UK. angela.simpson@manchester.ac.uk.
Magnus RattrayFaculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Adnan CustovicNational Heart and Lung Institute, Asthma UK Centre in Allergic Mechanisms of Asthma, Imperial College London, London, UK.
Sebastian L JohnstonNational Heart and Lung Institute, Asthma UK Centre in Allergic Mechanisms of Asthma, Imperial College London, London, UK.

Funding

Department of HealthMedical Research Council G0601361Medical Research Council G1000758Medical Research Council MR/K002449/1Medical Research Council MR/L012693/1
6 · The paper itself

Abstract

Patterns of human immune responses to viruses and bacteria and how this impacts risk of infections or onset/exacerbation of chronic respiratory diseases are poorly understood. In a population-based birth cohort, we measured peripheral blood mononuclear cell responses (28 cytokines) to respiratory viruses and bacteria, Toll-like receptor ligands and phytohemagglutinin, in 307 children. Cytokine responses were highly variable with > 1000-fold differences between children. Machine learning revealed clear distinction between virus-associated and bacteria-associated stimuli. Cytokines clustered into three functional groups (anti-viral, pro-inflammatory and T-cell derived). To investigate mechanisms potentially explaining such variable responses, we investigated cytokine Quantitative Trait Loci (cQTLs) of IL-6 responses to bacteria and identified nine (eight novel) loci. Our integrative approach describing stimuli, cytokines and children as variables revealed robust immunologically and microbiologically plausible clustering, providing a framework for a greater understanding of host-responses to infection, including novel genetic associations with respiratory disease.

Indexed as

CytokinesVirusesBacteriaChildHumansLeukocytes, MononuclearToll-Like ReceptorsCytokinesToll-Like Receptors

Identifiers

PMID35931775
PMCPMC9356009

What Socratic 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 Socratic graph.