Evidence map›Paper›PMID 41142011›Full record

ArticleFood science & nutrition2025

A Novel Dietary Index for Gut Microbiota (DI-GM) is Associated With Inflammation, Mental Health, and Tumor Biomarkers in Adults: A Cross-Sectional Study.

Yaqin Meng, Weiyu Ma, Xiuxiu Li, Ninggang Zhang

Abstract read
In one paragraph

Article in Food science & nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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

4 authors.

Yaqin MengDepartment of Psychiatry The First Hospital of Shanxi Medical University Taiyuan Shanxi China.
Weiyu MaDepartment of Gastroenterology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese e Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University Taiyuan Shanxi China.
Xiuxiu LiDepartment of Gastroenterology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese e Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University Taiyuan Shanxi China.ORCID https://orcid.org/0000-0002-0308-9982
Ninggang ZhangDepartment of Gastroenterology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese e Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University Taiyuan Shanxi China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interplay between diet, gut microbiota, and mental health has garnered increasing attention. This study aimed to examine the association of a novel Dietary Index for Gut Microbiota (DI-GM) with depression, anxiety, and intestinal tumor biomarkers, and to explore whether gut microbiota composition mediates these associations. A cross-sectional study was conducted among 650 Chinese adults aged 18-65 years. DI-GM scores were calculated based on habitual dietary intake. Mental health was assessed using PHQ-9, STAI-A, PSQI, and WHO-5. Gut microbiota metrics (Firmicutes/Bacteroidetes [F/B] ratio, alpha diversity), inflammatory markers (CRP, calprotectin, TMAO), brain-derived neurotrophic factor (BDNF), and carcinoembryonic antigen (CEA) were measured. Linear regression and structural equation modeling were used to assess associations and mediation effects. Higher DI-GM scores were significantly associated with lower BMI, improved lipid profiles (↑ HDL-C:

Indexed as

depressiondietary indexgut microbiotainflammationtumor biomarkers

Identifiers

PMID41142011
PMCPMC12550267

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Registered trials

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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.