Evidence map›Paper›PMID 39635025›Full record

ArticleThe EPMA journal2024

The predictive, preventive, and personalized medicine of depression: gut microbiota and inflammation.

Jialin Wu, Guosen Ou, Shiqi Wang, Yaokang Chen, Lu Xu, Li Deng, Huachong Xu, Xiaoyin Chen

Abstract read
In one paragraph

Article in The EPMA journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. International journal of molecular sciences · 2025
    Article
  10. Article
  11. Article
  12. 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

8 authors.

Jialin Wu *School of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632 China.
Guosen Ou *School of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632 China.
Shiqi Wang *School of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632 China.
Yaokang ChenSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632 China.
Lu XuSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632 China.
Li DengSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632 China.
Huachong XuSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632 China.
Xiaoyin ChenSchool of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gut microbiota (GM) is closely associated with the onset of depression, in which inflammation plays an essential role. Identifying specific GM associated with depression and their mechanisms, based on the principles of predictive, preventive, and personalized medicine (PPPM), is a critical step toward achieving targeted prevention and personalized treatment for depression. Working hypothesis and methodology: We hypothesized that both gut microbiota (GM) and cytokines influence the onset of depression, with cytokines acting as mediators of GM effects on depression. To test this hypothesis, we employed univariate Mendelian Randomization (UVMR) analysis to identify GM taxa associated with depression and cytokines and to determine the potential role of the identified GM taxa on these cytokines. Subsequently, multivariate Mendelian randomization (MVMR) was used to infer the mediating role of cytokines between the identified differential genus of GM and depression. Our results indicate that immune imbalance due to intestinal dysbiosis serves as an early risk indicator for the onset of depression. This provides a basis for utilizing non-invasive stool detection of GM for early screening, timely prevention, and personalized treatment of depression. By combining non-invasive stool detection of GM with existing methods, such as psychological questionnaires, we can jointly predict and assess the risk of developing depression. Additionally, formulating personalized treatment protocols that combine probiotics and medication can help transition depression management from reactive medicine to predictive, preventive, and personalized medicine (PPPM). Results: UVMR identified 15 GM taxa and 4 cytokines associated with the onset of depression. Specifically, Conclusions: Our study highlights the influence of alterations in GM on depression, revealing a mediating role of inflammation. By regulating these specific GM, it is hoped that the clinical treatment of depression can be transformed from traditional medicine to PPPM. With the help of mendelian randomization (MR) method, this study provides support for the wide application of non-invasive stool detection of GM for early screening of depression in clinical and carries out precise treatment based on the screening results, targeting the supplementation of specific bacteria, correcting the immune imbalance to prevent depression, and mitigating or blocking the disease process of depression. Supplementary Information: The online version contains supplementary material available at 10.1007/s13167-024-00379-z.

Indexed as

Circulating cytokinesDepressionEarly screeningGut microbiota (GM)Immune balanceInflammationMendelian randomization (MR)Personalized medicine (PPPM)Personalized treatment protocolsPredictivePreventiveProbioticsProtection against health-to-disease transitionSupplementatuion of specific bacteria

Identifiers

PMID39635025
PMCPMC11612071

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.