Evidence map›Paper›PMID 41892953›Full record

ArticleMarine drugs2026

Tetrodotoxin Oral Film Attenuates Depression in a Chronic Unpredictable Mild Stress Model in Mice.

Jianlin He, Chao Tang, Siwen Niu, Qingqing Le, Lin Yu, Bihong Hong

Abstract read
In one paragraph

Article in Marine drugs, 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

6 authors.

Jianlin HeThird Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China.ORCID 0000-0003-3327-5767
Chao TangThird Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China.
Siwen NiuThird Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China.
Qingqing LeThird Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China.
Lin YuThird Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China.
Bihong HongThird Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China.

Funding

Fujian Provincial Science and Technology Planning Projects 2024Y0077 and 2024N0022
6 · The paper itself

Abstract

Depression remains a major global health challenge, with a significant proportion of patients failing to respond to conventional antidepressants. This study aimed to evaluate the potential antidepressant effects and toxicological profile of a novel tetrodotoxin (TTX) oral film formulation in a mouse model of chronic unpredictable mild stress (CUMS). Male C57BL/6J mice were subjected to CUMS and treated daily with TTX oral film at doses of 10, 20, and 40 μg/kg, with fluoxetine (18 mg/kg) serving as a positive control. Behavioral assessments, including sucrose preference test, open field test, forced swimming test, elevated plus maze, and novel object recognition, demonstrated that TTX oral film administration alleviated depression- and anxiety-like behaviors and improved cognitive function. Furthermore, TTX oral film treatment restored hippocampal serotonin levels, which were depleted in CUMS mice, and showed no adverse effects on organ indexes after long-term use. Toxicological evaluation through acute toxicity testing revealed an oral LD

Indexed as

Antidepressive AgentsDepressionStress, PsychologicalTetrodotoxinAdministration, OralAnimalsBehavior, AnimalDisease Models, AnimalFluoxetineHippocampusMaleMiceMice, Inbred C57BLSerotoninAntidepressive AgentsFluoxetineSerotoninTetrodotoxinacute toxicitybehavioral assessmentsserotoninTTXVGSCs

Identifiers

PMID41892953
PMCPMC13027479

What OpenQuestion holds

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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.