Evidence map›Paper›PMID 38114436›Full record

ArticleZoological research2024

Comprehensive analysis of the gut microbiome and post-translational modifications elucidates the route involved in microbiota-host interactions.

Hai-Yang Wang, Lan-Xiang Liu, Xue-Yi Chen, Yang-Dong Zhang, Wen-Xia Li, Wen-Wen Li, Lian Wang, Xiao-Long Mo, Hong Wei, Ping Ji and 1 more

Abstract read
In one paragraph

Article in Zoological research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Intestinal injury signaling pathway in sepsis.Frontiers in immunology · 2025
    Review
  8. Article
  9. Article
  10. Zoological research · 2024
    Article
  11. 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

11 authors.

Hai-Yang WangNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Lan-Xiang LiuDepartment of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing 402160, China.
Xue-Yi ChenDepartment of Pathology, Faculty of Basic Medicine, Chongqing Medical University, Chongqing 400016, China.
Yang-Dong ZhangDepartment of Neurology, First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Wen-Xia LiNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Wen-Wen LiDepartment of Pathology, Faculty of Basic Medicine, Chongqing Medical University, Chongqing 400016, China.
Lian WangNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Xiao-Long MoNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Hong WeiYu-Yue Pathology Scientific Research Center, Chongqing 401329, China. E-mail: Weihong63528@163.com.
Ping JiCollege of Stomatology and Affiliated Stomatological Hospital of Chongqing Medical University, Chongqing 401147, China.
Peng XieNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiome interacts with the host to maintain body homeostasis, with gut microbial dysbiosis implicated in many diseases. However, the underlying mechanisms of gut microbe regulation of host behavior and brain functions remain unclear. This study aimed to elucidate the influence of gut microbiota on brain functions via post-translational modification mechanisms in the presence or absence of bacteria without any stimulation. We conducted succinylome analysis of hippocampal proteins in germ-free (GF) and specific pathogen-free (SPF) mice and metagenomic analysis of feces from SPF mice. These results were integrated with previously reported hippocampal acetylome and phosphorylome data from the same batch of mice. Subsequent bioinformatics analyses revealed 584 succinylation sites on 455 proteins, including 54 up-regulated succinylation sites on 91 proteins and 99 down-regulated sites on 51 proteins in the GF mice compared to the SPF mice. We constructed a panoramic map of gut microbiota-regulated succinylation, acetylation, and phosphorylation, and identified cross-talk and relative independence between the different types of post-translational modifications in modulating complicated intracellular pathways. Pearson correlation analysis indicated that 13 taxa, predominantly belonging to the Bacteroidetes phylum, were correlated with the biological functions of post-translational modifications. Positive correlations between these taxa and succinylation and negative correlations between these taxa and acetylation were identified in the modulation of intracellular pathways. This study highlights the hippocampal physiological changes induced by the absence of gut microbiota, and proteomic quantification of succinylation, phosphorylation, and acetylation, contributing to our understanding of the role of the gut microbiome in brain function and behavioral phenotypes.

Indexed as

Gastrointestinal MicrobiomeAnimalsHost Microbial InteractionsLysineMiceProtein Processing, Post-TranslationalProteomicsLysineAcetylationGut microbiotaHippocampal proteinPhosphorylationPost-translational modificationsSuccinylation

Identifiers

PMID38114436
PMCPMC10839661

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.