Evidence map›Paper›PMID 42326439›Full record

ArticleFood science & nutrition2026

Artificial Sweeteners and Autoimmune Diseases: Insights From Integrative Bioinformatics and Mendelian Randomization.

Yupei Liu, Jizhen Huang, Xue Hu, Shan Tian, Jiao Li, Shiyun Tan, Weiguo Dong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Food science & nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yupei LiuDepartment of Gastroenterology Renmin Hospital of Wuhan University Wuhan China.
Jizhen HuangDepartment of Respiratory and Critical Care Medicine Renmin Hospital of Wuhan University Wuhan Hubei China.
Xue HuDepartment of Oncology The General Hospital of Western Theater Command Chengdu China.
Shan TianDepartment of Infection Union Hospital of Tongji Medical College of Huazhong University of Science and Technology Wuhan China.
Jiao LiDepartment of Gastroenterology Renmin Hospital of Wuhan University Wuhan China.
Shiyun TanDepartment of Gastroenterology Renmin Hospital of Wuhan University Wuhan China.
Weiguo DongDepartment of Gastroenterology Renmin Hospital of Wuhan University Wuhan China.ORCID https://orcid.org/0000-0002-4228-6508

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial sweeteners (AS) are widely used food additives, yet their potential role in autoimmune diseases (ADs) remains poorly understood. In this study, we integrated toxicological prediction, Mendelian randomization (MR), bioinformatics analyses, molecular docking, and gut microbiota assessment to investigate the association between AS exposure and ADs and to identify potential underlying mechanisms. Toxicity prediction using the ProTox-II server indicated a high immunotoxic potential for AS (> 0.9). MR analysis revealed a positive association between artificially sweetened cereal consumption and ADs risk (OR = 1.223, 95% CI: 1.005-1.488,

Indexed as

artificial sweetenersautoimmune diseasesenvironmental exposureMendelian randomizationnetwork toxicology

Identifiers

PMID42326439
PMCPMC13277747

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.