Evidence map›Paper›PMID 40444131›Full record

ArticleFood science & nutrition2025

From Diet to Scar: Novel Mendelian Randomization and Mediation Analyses Linking Dietary Habits, Gut Microbiota, and Hypertrophic Scarring.

Qiong Liu, Xiaofang Liu, Mengge Gao, Bo Yang, Miaoqing Luo, Biying Yang, Guojun Liang

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Qiong LiuDepartment of Clinical Nutrition Huadu District People's Hospital of Guangzhou Guangzhou Guangdong China.
Xiaofang LiuDepartment of Clinical Nutrition Huadu District People's Hospital of Guangzhou Guangzhou Guangdong China.
Mengge GaoDepartment of Clinical Nutrition Huadu District People's Hospital of Guangzhou Guangzhou Guangdong China.
Bo YangDepartment of Clinical Nutrition Huadu District People's Hospital of Guangzhou Guangzhou Guangdong China.
Miaoqing LuoDepartment of Clinical Nutrition Huadu District People's Hospital of Guangzhou Guangzhou Guangdong China.
Biying YangDepartment of Clinical Nutrition Huadu District People's Hospital of Guangzhou Guangzhou Guangdong China.
Guojun LiangSurgical Department First Affiliated Hospital of Guangzhou Medical University Guangzhou Guangdong China.ORCID https://orcid.org/0000-0001-8620-8299

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertrophic scarring (HTS) is a pathological skin condition characterized by excessive collagen deposition during wound healing. Emerging evidence suggests that dietary habits and gut microbiota composition may influence HTS risk via systemic inflammatory and metabolic pathways. However, the causal relationships between these factors remain poorly understood. Mendelian randomization (MR) analysis was conducted to investigate the causal relationships between dietary habits, gut microbiota composition, and HTS risk. Additional analyses included mediation analysis to explore potential intermediary effects of gut microbiota and co-localization analysis to assess shared genetic loci between exposures and HTS. MR analysis identified significant associations between HTS and six dietary preferences, with caffeinated/sweet liking and jam liking increasing HTS risk, while crisps, curry, oranges, and strong flavor liking were protective. For gut microbiota,

Indexed as

co‐localization analysisdietary habitsgut microbiotahypertrophic scarringmendelian randomization

Identifiers

PMID40444131
PMCPMC12121444

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.