Evidence map›Paper›PMID 24844920›Full record

ArticlePloS one2014

1H NMR-based profiling reveals differential immune-metabolic networks during influenza virus infection in obese mice.

J Justin Milner, Jue Wang, Patricia A Sheridan, Tim Ebbels, Melinda A Beck, Jasmina Saric

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Targeting memory T cell metabolism to improve immunity.The Journal of clinical investigation · 2022
    Review
  5. Article
  6. Obesity and COVID-19: Molecular Mechanisms Linking Both Pandemics.International journal of molecular sciences · 2020
    Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Obesity Impairs the Adaptive Immune Response to Influenza Virus.Annals of the American Thoracic Society · 2017
    Review
  12. Review
  13. Lethal H1N1 influenza A virus infection alters the murine alveolar type II cell surfactant lipidome.American journal of physiology. Lung cellular and molecular physiology · 2016
    Article
  14. 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

6 authors at 2 institutions in 2 countries.

J Justin MilnerGillings School of Global Public Health, Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Jue WangSection of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College, London, United Kingdom.
Patricia A SheridanGillings School of Global Public Health, Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Tim EbbelsSection of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College, London, United Kingdom.
Melinda A BeckGillings School of Global Public Health, Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Jasmina SaricSection of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College, London, United Kingdom.
Imperial College London · GBUniversity of North Carolina at Chapel Hill · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ian Michael Carroll · 1999 to 2026
$31.6M
NCI NIH HHS P30CA06086NIAID NIH HHS HHSN272201300006CNIDDK NIH HHS DK56350NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

Obese individuals are at greater risk for death from influenza virus infection. Paralleling human evidence, obese mice are also more susceptible to influenza infection mortality. However, the underlying mechanisms driving greater influenza severity in the obese remain unclear. Metabolic profiling has been utilized in infectious disease models to enhance prognostic or diagnostic methods, and to gain insight into disease pathogenesis by providing a more global picture of dynamic infection responses. Herein, metabolic profiling was used to develop a deeper understanding of the complex processes contributing to impaired influenza protection in obese mice and to facilitate generation of new explanatory hypotheses. Diet-induced obese and lean mice were infected with influenza A/Puerto Rico/8/34. 1H nuclear magnetic resonance-based metabolic profiling of urine, feces, lung, liver, mesenteric white adipose tissue, bronchoalveolar lavage fluid and serum revealed distinct metabolic signatures in infected obese mice, including perturbations in nucleotide, vitamin, ketone body, amino acid, carbohydrate, choline and lipid metabolic pathways. Further, metabolic data was integrated with immune analyses to obtain a more comprehensive understanding of potential immune-metabolic interactions. Of interest, uncovered metabolic signatures in urine and feces allowed for discrimination of infection status in both lean and obese mice at an early influenza time point, which holds prognostic and diagnostic implications for this methodology. These results confirm that obesity causes distinct metabolic perturbations during influenza infection and provide a basis for generation of new hypotheses and use of this methodology in detection of putative biomarkers and metabolic patterns to predict influenza infection outcome.

Indexed as

Magnetic Resonance ImagingMetabolomeAnimalsBiomarkersHumansInfluenza A Virus, H1N1 SubtypeMiceMice, ObeseOrthomyxoviridae InfectionsRadiographyBiomarkers

Identifiers

PMID24844920
PMCPMC4028207
OpenAlexW2051794991

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.