Evidence mapPaperPMID 41145556Full record

ArticleScientific reports2025

Impact of aging on gut-lung-adipose tissue interactions and lipid metabolism during influenza infection in mice.

Gemma Bogard, Kassem Makki, Patricia Brito-Rodrigues, Jian Tan, Olivier Molendi-Coste, Johanna Barthelemy, Amandine Descat, Fabrice Bouilloux, Cécile Lecoeur, Corinne Grangette and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. HS-AssociatedMicroorganisms · 2025
    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

16 authors.

Gemma BogardUniv. Lille, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (Inserm), Centre Hospitalier Universitaire de Lille (CHU Lille), Institut Pasteur de Lille, U1019 - UMR9017 - CIIL - Center for Infection and Immunity of Lille, F-59000, Lille, France.
Kassem MakkiLaboratoire CarMeN, Inserm U1060, INRAe UMR1397, Université Claude Bernard Lyon1, Pierre Bénite, F-69310, Villeurbanne, France.
Patricia Brito-RodriguesUniv. Lille, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (Inserm), Centre Hospitalier Universitaire de Lille (CHU Lille), Institut Pasteur de Lille, U1019 - UMR9017 - CIIL - Center for Infection and Immunity of Lille, F-59000, Lille, France.
Jian TanCharles Perkins Centre, the University of Sydney, Sydney, Australia.
Olivier Molendi-CosteUniv. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41 - UAR 2014 - PLBS, F-59000, Lille, France.
Johanna BarthelemyUniv. Lille, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (Inserm), Centre Hospitalier Universitaire de Lille (CHU Lille), Institut Pasteur de Lille, U1019 - UMR9017 - CIIL - Center for Infection and Immunity of Lille, F-59000, Lille, France.
Amandine DescatUniv. Lille, CHU Lille,, ULR 7365 - GRITA - Groupe de Recherche sur les formes Injectables et les Technologies Associées, F-59000, Lille, France.
Fabrice BouillouxBiomnigene, F-25000, Besançon, France.
Cécile LecoeurUniv. Lille, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (Inserm), Centre Hospitalier Universitaire de Lille (CHU Lille), Institut Pasteur de Lille, U1019 - UMR9017 - CIIL - Center for Infection and Immunity of Lille, F-59000, Lille, France.
Corinne GrangetteUniv. Lille, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (Inserm), Centre Hospitalier Universitaire de Lille (CHU Lille), Institut Pasteur de Lille, U1019 - UMR9017 - CIIL - Center for Infection and Immunity of Lille, F-59000, Lille, France.
Cyril RobilUniv. Lille, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (Inserm), Centre Hospitalier Universitaire de Lille (CHU Lille), Institut Pasteur de Lille, U1019 - UMR9017 - CIIL - Center for Infection and Immunity of Lille, F-59000, Lille, France.
Jean-François GoossensUniv. Lille, CHU Lille,, ULR 7365 - GRITA - Groupe de Recherche sur les formes Injectables et les Technologies Associées, F-59000, Lille, France.
Philippe GossetUniv. Lille, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (Inserm), Centre Hospitalier Universitaire de Lille (CHU Lille), Institut Pasteur de Lille, U1019 - UMR9017 - CIIL - Center for Infection and Immunity of Lille, F-59000, Lille, France.
Laurence MaciaCharles Perkins Centre, the University of Sydney, Sydney, Australia.
François TrotteinUniv. Lille, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (Inserm), Centre Hospitalier Universitaire de Lille (CHU Lille), Institut Pasteur de Lille, U1019 - UMR9017 - CIIL - Center for Infection and Immunity of Lille, F-59000, Lille, France.
Isabelle WolowczukUniv. Lille, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (Inserm), Centre Hospitalier Universitaire de Lille (CHU Lille), Institut Pasteur de Lille, U1019 - UMR9017 - CIIL - Center for Infection and Immunity of Lille, F-59000, Lille, France. isabelle.wolowczuk@pasteur-lille.fr.

Funding

Agence Nationale de la Recherche ANR-23-CE15-0014-01
6 · The paper itself

Abstract

Influenza remains a major threat to human health, especially for the elderly. Aging leads to substantial changes to lung function, gut microbiota, and white adipose tissue (WAT)-a key endocrine organ regulating energy balance and lipid metabolism. In the current study, we performed a multi-omics analysis to investigate how influenza impacts the gut-lung-adipose tissue axis differently with age at days 2, 4, 7, 14, and 28 post-infection (dpi). Compared to young-adult mice, aged mice experienced worse disease outcomes following infection, along with distinct WAT alterations, including impaired browning, heightened inflammation, and reduced innate immune cell recruitment. Age-related differences were also evidenced in infection-driven shifts in gut microbiota. Akkermansia levels rose only in young mice from 4 dpi, while Faecalibaculum and Muribaculum expanded exclusively in aged mice at 7 dpi, the only timepoint at which their abundance correlated with lung pathology. Serum metabolomics at 7 dpi also revealed age-dependent metabolic responses to infection. Compared to their non-infected counterparts, young mice had lower levels of p-Cresol-sulfate and Indoxyl-sulfate alongside higher triglycerides, whereas aged mice showed disrupted glycerophospholipid metabolism. By pinpointing specific gut bacteria as potential probiotics and identifying lipid pathways associated with disease progression, these findings could lead to the development of targeted, age-specific strategies to mitigate influenza severity in the elderly.

Indexed as

Adipose Tissue, WhiteAgingGastrointestinal MicrobiomeLipid MetabolismLungOrthomyxoviridae InfectionsAnimalsFemaleMaleMiceMice, Inbred C57BL

Identifiers

PMID41145556
PMCPMC12559434

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.