Evidence map›Paper›PMID 38565877›Full record

ArticleScientific reports2024

Exploring the possible relationship between skin microbiome and brain cognitive functions: a pilot EEG study.

Po-Chun Wang, Daniyal Rajput, Xin-Fu Wang, Chun-Ming Huang, Chun-Chuan Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
5.9field-weighted citation impact, top 4% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

5 authors at 2 institutions in 1 country.

Po-Chun Wang *Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan.
Daniyal Rajput *Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan.
Xin-Fu WangDepartment of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan.
Chun-Ming HuangDepartment of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan.
Chun-Chuan ChenDepartment of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan. cchen@ncu.edu.tw.
National Central University · TWAcademia Sinica · TW

Funding

Ministry of Science and Technology, Taiwan 107-2221-E-008-091Ministry of Science and Technology, Taiwan 108-2221-E-008-038Ministry of Science and Technology, Taiwan 108-2314-B-039-022Ministry of Science and Technology, Taiwan 109-2218-E-002-017Ministry of Science and Technology, Taiwan 109-2314-B-039-027Ministry of Science and Technology, Taiwan 111-2218-E-008-010
6 · The paper itself

Abstract

Human microbiota mainly resides on the skin and in the gut. Human gut microbiota can produce a variety of short chain fatty acids (SCFAs) that affect many physiological functions and most importantly modulate brain functions through the bidirectional gut-brain axis. Similarly, skin microorganisms also have identical metabolites of SCFAs reported to be involved in maintaining skin homeostasis. However, it remains unclear whether these SCFAs produced by skin bacteria can affect brain cognitive functions. In this study, we hypothesize that the brain's functional activities are associated with the skin bacterial population and examine the influence of local skin-bacterial growth on event-related potentials (ERPs) during an oddball task using EEG. Additionally, five machine learning (ML) methods were employed to discern the relationship between skin microbiota and cognitive functions. Twenty healthy subjects underwent three rounds of tests under different conditions-alcohol, glycerol, and water. Statistical tests confirmed a significant increase in bacterial population under water and glycerol conditions when compared to the alcohol condition. The metabolites of bacteria can turn phenol red from red-orange to yellow, confirming an increase in acidity. P3 amplitudes were significantly enhanced in response to only oddball stimulus at four channels (Fz, FCz, and Cz) and were observed after the removal of bacteria when compared with that under the water and glycerol manipulations. By using machine learning methods, we demonstrated that EEG features could be separated with a good accuracy (> 88%) after experimental manipulations. Our results suggest a relationship between skin microbiota and brain functions. We hope our findings motivate further study into the underlying mechanism. Ultimately, an understanding of the relationship between skin microbiota and brain functions can contribute to the treatment and intervention of diseases that link with this pathway.

Indexed as

GlycerolMicrobiotaBrainCognitionElectroencephalographyFatty Acids, VolatileHumansWaterFatty Acids, VolatileGlycerolWater

Identifiers

PMID38565877
PMCPMC10987680
OpenAlexW4393529246

What OpenQuestion 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 OpenQuestion graph.