Sucralose Induces Neurobehavioral Alterations and Exacerbates Alzheimer's Disease-Like Phenotypes in Zebrafish Models.

Xiang Li, Zhuang Miao, Jiying Bi, Jie Zhang, Ning Wang

Abstract read

In one paragraph

Article in ACS omega, 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

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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

5 authors.

Xiang LiDepartment of Medicinal Chemistry, State Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.ORCID https://orcid.org/0000-0002-7740-1713

Zhuang MiaoDepartment of Medicinal Chemistry, State Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.ORCID https://orcid.org/0009-0003-7480-8977

Jiying BiDepartment of Medicinal Chemistry, State Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.

Jie ZhangCollege of Information Engineering, Ningde Normal University, Ningde 352100, China.

Ning WangCollege of Information Engineering, Ningde Normal University, Ningde 352100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial sweeteners are widely consumed, yet their potential neurotoxic effects remain poorly understood. Using sucralose (SUC) as a model compound, this study develops an approach to rapidly screen the neurotoxicity of artificial sweeteners and explore their potential associations with neurodegenerative-like processes, especially Alzheimer's disease (AD)-like phenotypes. SUC is minimally absorbed and metabolized by mammals, leading to its widespread presence in the environment. Here, we integrate high-throughput behavioral phenotyping in larval zebrafish with targeted analyses in adult and AD transgenic models, employing a "behavioral phenoblast" strategy adapted from prior large-scale sleep-wake drug screens. SUC effects were evaluated across a broad concentration range (5 μg/L to 100 mg/L), covering low-dose to high-dose exposure conditions. Hierarchical and

Identifiers

PMID42756830

DOI10.1021/acsomega.6c04972

PMCPMC13584562

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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.