Evidence map›Paper›PMID 37894064›Full record

ArticleMicroorganisms2023

Multi-Omics Analysis Reveals Age-Related Microbial and Metabolite Alterations in Non-Human Primates.

Xiang Chen, Yiyun Liu, Juncai Pu, Siwen Gui, Dongfang Wang, Xiaogang Zhong, Wei Tao, Xiaopeng Chen, Weiyi Chen, Yue Chen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2023. 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
0.9field-weighted citation impact, top 24% of its field
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, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Gut microbial metabolism in Alzheimer's disease and related dementias.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024
    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

12 authors at 2 institutions in 1 country.

Xiang ChenDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Yiyun LiuDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Juncai PuDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Siwen GuiDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Dongfang WangNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Xiaogang ZhongNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Wei TaoNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Xiaopeng ChenDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Weiyi ChenDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Yue ChenDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Renjie QiaoDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Peng XieDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Chongqing Medical University · CNFirst Affiliated Hospital of Chongqing Medical University · CN

Funding

HSRD VA I01 HX001283
6 · The paper itself

Abstract

Aging is a systemic physiological degenerative process, with alterations in gut microbiota and host metabolism. However, due to the interference of multiple confounding factors, aging-associated molecular characteristics have not been elucidated completely. Therefore, based on 16S ribosomal RNA (rRNA) gene sequencing and non-targeted metabolomic detection, our study systematically analyzed the composition and function of the gut microbiome, serum, and fecal metabolome of 36 male rhesus monkeys spanning from 3 to 26 years old, which completely covers juvenile, adult, and old stages. We observed significant correlations between 41 gut genera and age. Moreover, 86 fecal and 49 serum metabolites exhibited significant age-related correlations, primarily categorized into lipids and lipid-like molecules, organic oxygen compounds, organic acids and derivatives, and organoheterocyclic compounds. Further results suggested that aging is associated with significant downregulation of various amino acids constituting proteins, elevation of lipids, particularly saturated fatty acids, and steroids. Additionally, age-dependent changes were observed in multiple immune-regulatory molecules, antioxidant stress metabolites, and neurotransmitters. Notably, multiple age-dependent genera showed strong correlations in these changes. Together, our results provided new evidence for changing characteristics of gut microbes and host metabolism during aging. However, more research is needed in the future to verify our findings.

Indexed as

aginggut microbiomenon-human primatesserum and fecal metabolomesystems biology

Identifiers

PMID37894064
PMCPMC10609416
OpenAlexW4387105231

What Socratic holds

Textmetadata
LicenceCC BY
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.