Evidence map›Paper›PMID 35336242›Full record

ReviewMicroorganisms2022

Utilization of Host and Microbiome Features in Determination of Biological Aging.

Karina Ratiner, Suhaib K Abdeen, Kim Goldenberg, Eran Elinav

Abstract readReview
In one paragraph

Review in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Review
  3. Observational
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  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
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  11. Article
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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

4 authors.

Karina RatinerImmunology Department, Weizmann Institute of Science, 234 Herzl Street, Rehovot 7610001, Israel.
Suhaib K AbdeenImmunology Department, Weizmann Institute of Science, 234 Herzl Street, Rehovot 7610001, Israel.
Kim GoldenbergImmunology Department, Weizmann Institute of Science, 234 Herzl Street, Rehovot 7610001, Israel.
Eran ElinavImmunology Department, Weizmann Institute of Science, 234 Herzl Street, Rehovot 7610001, Israel.ORCID 0000-0002-5775-2110

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The term 'old age' generally refers to a period characterized by profound changes in human physiological functions and susceptibility to disease that accompanies the final years of a person's life. Despite the conventional definition of old age as exceeding the age of 65 years old, quantifying aging as a function of life years does not necessarily reflect how the human body ages. In contrast, characterizing biological (or physiological) aging based on functional parameters may better reflect a person's temporal physiological status and associated disease susceptibility state. As such, differentiating 'chronological aging' from 'biological aging' holds the key to identifying individuals featuring accelerated aging processes despite having a young chronological age and stratifying them to tailored surveillance, diagnosis, prevention, and treatment. Emerging evidence suggests that the gut microbiome changes along with physiological aging and may play a pivotal role in a variety of age-related diseases, in a manner that does not necessarily correlate with chronological age. Harnessing of individualized gut microbiome data and integration of host and microbiome parameters using artificial intelligence and machine learning pipelines may enable us to more accurately define aging clocks. Such holobiont-based estimates of a person's physiological age may facilitate prediction of age-related physiological status and risk of development of age-associated diseases.

Indexed as

agingbiological ageclocksmicrobiomepersonalized medicine

Identifiers

PMID35336242
PMCPMC8950177

What OpenQuestion holds

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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.