Evidence map›Paper›PMID 40824080›Full record

ReviewmSystems2025

A systems approach for elucidating the role of the microbiome in epigenetic cellular memory.

Jacob W Pederson, Aleksandra Nita-Lazar

Abstract readReview
In one paragraph

Review in mSystems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Jacob W PedersonFunctional Cellular Networks Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, Maryland, USA.
Aleksandra Nita-LazarFunctional Cellular Networks Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, Maryland, USA.ORCID 0000-0002-8523-605X

Funding

NHLBI NIH HHS
6 · The paper itself

Abstract

The microbiome plays an essential role in the development of the immune system. Both the immune system and microbiome dynamically respond to internal and external cues, and dysregulation of either of these systems can lead to disease pathology. Separate from the adaptive immune system, the innate immune system retains a memory of inflammatory events that determine the quality of future immune responses. The phenomenon is characterized by epigenetic modifications that lead to immunosuppressive or hyperinflammatory cell phenotypes, collectively designated as epigenetic cellular memory. It remains unclear whether and how the microbiome influences epigenetic cellular memory phenotypes to promote immunopathology and chronic disease. Inflammatory signals from the microbiota regulate hematopoiesis and systemic immunity through the production of immunomodulatory ligands and activation of circulating immune cells; however, few studies have directly implicated these mechanisms in the development of epigenetic cellular memory. We posit that a multi-omic systems approach is well-suited to elucidating the complex factors mediating the microbiome's contribution to this phenomenon. By measuring responses to exogenous influences through multi-omic technologies, it will be possible to identify the regulatory axis that next-generation therapies should target to reverse immunopathology. As chronic inflammatory disorders are on the rise, it is imperative that future therapies leverage both dietary and pharmacological interventions to promote self-reinforcing homeostatic immunity by targeting the mechanisms of epigenetic cellular memory.

Indexed as

Epigenesis, GeneticImmunologic MemoryMicrobiotaAnimalsEpigenetic MemoryHumansInflammationimmune memoryinnate immunitymicrobiomesystems biology

Identifiers

PMID40824080
PMCPMC12455955

What OpenQuestion holds

Textmetadata
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.