Evidence map›Paper›PMID 42137818›Full record

ArticleInfection and drug resistance2026

Artificial Sweeteners Induce Bacterial Drug Resistance and Modulate Gene Expression.

Xin Jin, Juan Xu, Yu Cao, Zhen Dai, Ruirong Wang, Xiaoming Ge, Rui Cai, Ziyan Hu, Xiaojie Sun, Jing Chen and 1 more

Abstract read
In one paragraph

Article in Infection and drug resistance, 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

11 authors.

Xin JinNanjing Institute for Food and Drug Control, Jiangsu, Nanjing, People's Republic of China.ORCID 0000-0002-4930-3534
Juan XuNanjing Institute of Technology, Jiangsu, Nanjing, People's Republic of China.
Yu CaoNanjing Institute for Food and Drug Control, Jiangsu, Nanjing, People's Republic of China.
Zhen DaiNanjing Institute for Food and Drug Control, Jiangsu, Nanjing, People's Republic of China.
Ruirong WangNanjing Institute for Food and Drug Control, Jiangsu, Nanjing, People's Republic of China.
Xiaoming GeNanjing Institute for Food and Drug Control, Jiangsu, Nanjing, People's Republic of China.
Rui CaiJiangsu Province Hospital of Chinese Medicine, Jiangsu, Nanjing, People's Republic of China.
Ziyan HuNanjing Institute for Food and Drug Control, Jiangsu, Nanjing, People's Republic of China.
Xiaojie SunNanjing Institute for Food and Drug Control, Jiangsu, Nanjing, People's Republic of China.
Jing ChenChina Pharmaceutical University, Jiangsu, Nanjing, People's Republic of China.
Ling ZhangNanjing Institute for Food and Drug Control, Jiangsu, Nanjing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the effects of artificial sweeteners on reduced antibiotic susceptibility and expression of antibiotic resistance and virulence-related genes in bacteria exposed to permitted daily intake levels. Methods: We first evaluated the antibacterial effects of five commonly used artificial sweeteners (saccharin, cyclamate, aspartame, acesulfame potassium, and sucralose) on Results: The minimum inhibitory concentration (MIC) of artificial sweeteners for Conclusions: Exposure to artificial sweeteners at CAC-permitted doses is associated with reduced antibiotic susceptibility and may affect bacterial function. Therefore, the safety of artificial sweeteners as substitutes for natural sugars requires careful consideration and further in vivo validation.

Indexed as

antibiotic resistanceartificial sweetenersgene expressionsafety

Identifiers

PMID42137818
PMCPMC13168905

What OpenQuestion holds

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LicenceCC BY-NC
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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.