Evidence map›Paper›PMID 38230258›Full record

ArticleiScience2024

An accurate aging clock developed from large-scale gut microbiome and human gene expression data.

Vishakh Gopu, Francine R Camacho, Ryan Toma, Pedro J Torres, Ying Cai, Subha Krishnan, Sathyapriya Rajagopal, Hal Tily, Momchilo Vuyisich, Guruduth Banavar

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. The Gut and Skin Microbiome and Its Association with Aging Clocks.International journal of molecular sciences · 2024
    Review
  19. Review
  20. 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

10 authors.

Vishakh GopuViome Research Institute, Viome Life Sciences, Inc, Seattle, NY, USA.
Francine R CamachoViome Research Institute, Viome Life Sciences, Inc, Seattle, NY, USA.
Ryan TomaViome Research Institute, Viome Life Sciences, Inc, Seattle, NY, USA.
Pedro J TorresViome Research Institute, Viome Life Sciences, Inc, Seattle, NY, USA.
Ying CaiViome Research Institute, Viome Life Sciences, Inc, Seattle, NY, USA.
Subha KrishnanViome Research Institute, Viome Life Sciences, Inc, Seattle, NY, USA.
Sathyapriya RajagopalViome Research Institute, Viome Life Sciences, Inc, Seattle, NY, USA.
Hal TilyViome Research Institute, Viome Life Sciences, Inc, Seattle, NY, USA.
Momchilo VuyisichViome Research Institute, Viome Life Sciences, Inc, Seattle, NY, USA.
Guruduth BanavarViome Research Institute, Viome Life Sciences, Inc, Seattle, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate measurement of the biological markers of the aging process could provide an "aging clock" measuring predicted longevity and enable the quantification of the effects of specific lifestyle choices on healthy aging. Using machine learning techniques, we demonstrate that chronological age can be predicted accurately from (1) the expression level of human genes in capillary blood and (2) the expression level of microbial genes in stool samples. The latter uses a very large metatranscriptomic dataset, stool samples from 90,303 individuals, which arguably results in a higher quality microbiome-aging model than prior work. Our analysis suggests associations between biological age and lifestyle/health factors, e.g., people on a paleo diet or with IBS tend to have higher model-predicted ages and people on a vegetarian diet tend to have lower model-predicted ages. We delineate the key pathways of systems-level biological decline based on the age-specific features of our model.

Indexed as

MicrobiomeOmics

Identifiers

PMID38230258
PMCPMC10790003

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.