Evidence map›Paper›PMID 31659582›Full record

ArticleGeroScience2019

Age-related compositional and functional changes in micro-pig gut microbiome.

Mi Young Lim, Eun-Ji Song, Kyung Soo Kang, Young-Do Nam

Abstract read
In one paragraph

Article in GeroScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

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  18. Exploring the Relationship between the Gut Microbiota and Ageing: A Possible Age Modulator.International journal of environmental research and public health · 2023
    Review
  19. 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.

Mi Young LimResearch Group of Healthcare, Korea Food Research Institute, Wanju, South Korea.
Eun-Ji SongResearch Group of Healthcare, Korea Food Research Institute, Wanju, South Korea.
Kyung Soo KangBio resource business unit, Apures Co., Ltd., Pyeongtaek, South Korea.
Young-Do NamResearch Group of Healthcare, Korea Food Research Institute, Wanju, South Korea. youngdo98@kfri.re.kr.ORCID http://orcid.org/0000-0002-2660-3569

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Age-related changes in human gut microbiota composition have been reported, and such changes might be influenced by the intake of nutrients or diets. To investigate the effects of aging on the gut microbiota independent of nutrient effects, we analyzed the gut microbiomes of 126 micro-pigs at a wide range of ages from newborns to 10 years old. The micro-pigs were reared in a constantly controlled environment. The diversity of the gut microbiome was found to continuously change with age. We also found associations between age and specific members and functions of the gut microbiome. Consistent with previous studies on the human gut microbiome, beneficial microbes including probiotic bacteria and short-chain fatty acid-producers decreased in older pigs, whereas Bacteroides increased with age. Based on the correlation network, Bacteroides seemed to have an important role in determining the relative abundances of other beneficial microbes. Our results suggest that maintaining beneficial gut microbes at a specific ratio corresponding to a certain age might contribute to a younger gut microbiome-age. Furthermore, due to similarities with the human system, micro-pigs are a useful animal model to elucidate the links between aging and the microbiome.

Indexed as

AdolescentAdultAgedAged, 80 and overAgingAnimalsBacteriaChildChild, PreschoolFecesFemaleGastrointestinal MicrobiomeHealthy VolunteersHigh-Throughput Nucleotide SequencingHumansInfantRNA, Ribosomal, 16S16S sequencingAgingGut microbiomeMicro-pig

Identifiers

PMID31659582
PMCPMC6925089

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.