Evidence map›Paper›PMID 38178102›Full record

ArticleRespiratory research2024

Age-dependent inflammatory response is altered in an ex vivo model of bacterial pneumonia.

Charline Sommer, Stella Marie Reamon-Buettner, Monika Niehof, Christina Beatrix Hildebrand, Armin Braun, Katherina Sewald, Susann Dehmel, Christina Brandenberger

Open access · goldAbstract read
In one paragraph

Article in Respiratory research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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  5. Lower respiratory tract microbiota characteristics in patients withFrontiers in cellular and infection microbiology · 2026
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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

8 authors at 3 institutions in 1 country.

Charline SommerFraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany.
Stella Marie Reamon-BuettnerFraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany.
Monika NiehofFraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany.
Christina Beatrix HildebrandMember of the German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH) research network, Hannover, Germany.
Armin BraunFraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany.
Katherina SewaldFraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany.
Susann Dehmel *Fraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany. susann.dehmel@item.fraunhofer.de.
Christina Brandenberger *Member of the German Center for Lung Research (DZL), Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH) research network, Hannover, Germany. christina.brandenberger@charite.de.
Fraunhofer Institute for Toxicology and Experimental Medicine · DEBerlin Institute of Health at Charité - Universitätsmedizin Berlin · DEGerman Center for Lung Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAging is associated with an increased incidence and mortality of Pseudomonas aeruginosa-induced pneumonias. This might be partly due to age-dependent increases in inflammatory mediators, referred to as inflamm-aging and a decline in immune functions, known as immunosenescence. Still, the impact of dysregulated immune responses on lung infection during aging is poorly understood. Here, we aimed to mimic inflamm-aging using ex vivo precision-cut lung slices (PCLS) and neutrophils - as important effector cells of innate immunity - from young and old mice and investigated the influence of aging on inflammation upon infection with P. aeruginosa bacteria.

methodsMurine PCLS were infected with the P. aeruginosa standard lab strain PAO1 and a clinical P. aeruginosa isolate D61. After infection, whole-transcriptome analysis of the tissue as well as cytokine expression in supernatants and tissue lysates were performed. Responses of isolated neutrophils towards the bacteria were investigated by quantifying neutrophil extracellular trap (NET) formation, cytokine secretion, and analyzing expression of surface activation markers using flow cytometry.

resultsInflamm-aging was observed by transcriptome analysis, showing an enrichment of biological processes related to inflammation, innate immune response, and chemotaxis in uninfected PCLS of old compared with young mice. Upon P. aeruginosa infection, the age-dependent pro-inflammatory response was even further promoted as shown by increased production of cytokines and chemokines such as IL-1β, IL-6, CXCL1, TNF-α, and IL-17A. In neutrophil cultures, aging did not influence NET formation or cytokine secretion during P. aeruginosa infection. However, expression of receptors associated with inflammatory responses such as complement, adhesion, phagocytosis, and degranulation was lower in neutrophils stimulated with bacteria from old mice as compared to young animals.

conclusionsBy using PCLS and neutrophils from young and old mice as immunocompetent ex vivo test systems, we could mimic dysregulated immune responses upon aging on levels of gene expression, cytokine production, and receptor expression. The results furthermore reflect the exacerbation of inflammation upon P. aeruginosa lung infection as a result of inflamm-aging in old age.

Indexed as

Pneumonia, BacterialPseudomonas InfectionsAnimalsChemokinesCytokinesInflammationLungMiceNeutrophilsPseudomonas aeruginosaChemokinesCytokinesInflamm-agingNeutrophilsPrecision-cut lung slicesPseudomonas aeruginosa

Identifiers

PMID38178102
PMCPMC10765774
OpenAlexW4390585811

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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.