Evidence mapPaperPMID 41776008Full record

ReviewNature reviews. Endocrinology2026

The gut microbiome and ageing trajectories: mechanisms and clinical implications.

Andrea Ticinesi, Stefania Maggi, Antonio Nouvenne, Giovanni Zuliani, Claudio Franceschi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Gut microbiota in health and disease.Molecular biomedicine · 2026
    Review
  5. Review
  6. Frontiers in immunology · 2026
    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

5 authors.

Andrea TicinesiDepartment of Medical Sciences, University of Ferrara, Ferrara, Italy. andrea.ticinesi@unife.it.ORCID http://orcid.org/0000-0001-9171-8592
Stefania MaggiAging Branch, CNR Institute of Neuroscience, Padova, Italy.
Antonio NouvenneMicrobiome Research Hub, University of Parma, Parma, Italy.
Giovanni ZulianiDepartment of Translational Medicine, University of Ferrara, Ferrara, Italy.
Claudio FranceschiInstitute of Biogerontology, Lobachevsky State University, Nizhny Novgorod, Russian Federation.ORCID http://orcid.org/0000-0001-9841-6386

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This Review discusses the current state of knowledge on the contribution of the gut microbiome as a potential key actor in defining how we age. The gut microbiome is a complex ecosystem that establishes lifelong dynamic interactions with the host at multiple levels (several gut-organ axes), differently influencing ageing patterns and age-related disease onset and progression across populations. Accordingly, the definition of a 'normative' gut microbiome remains elusive, depending largely on the interaction with the external environment. In this complex scenario, the causal role of the gut microbiome in defining the ageing trajectory and its precise contribution to various organ-specific age-related diseases is still uncertain in clinical terms and could be context specific. Multiparametric and uniqueness indexes within a given population have shown a certain capacity for predicting disability and mortality. However, the gut microbiome is shaped over time by exposure to different intrinsic and environmental factors, resulting in a high degree of inter-individual variability, a key phenomenon that should be considered to develop novel personalized strategies to counteract age-related disease and frailty.

Indexed as

AgingGastrointestinal MicrobiomeAnimalsHumans

Identifiers

What Socratic 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 Socratic graph.