Evidence map›Paper›PMID 40444160›Full record

ArticleResearch in pharmaceutical sciences2025

The brown alga

Azadeh Mesripour, Negar Asgari, Afsaneh Yegdaneh

Abstract read
In one paragraph

Article in Research in pharmaceutical sciences, 2025. 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

3 authors.

Azadeh MesripourDepartment of Pharmacology and Toxicology and Pharmaceutical Science Research Center, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran.
Negar AsgariDepartment of Pharmacology and Toxicology and Pharmaceutical Science Research Center, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran.
Afsaneh YegdanehDepartment of Pharmacognosy, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Experimental approach: In male mice (25 ± 2 g), depression was initiated by administrating dexamethasone (15 μg/kg) subcutaneously. PMP or PHP (80-160 mg/kg) was administered intraperitoneally. All the injections continued for two weeks. After the locomotor test, different depression criteria were evaluated by forced swim test (FST), marble burying test (MBT), sucrose preference (SP) test, and novelty-suppressed feeding test (NSFT). Findings/Results: PMP (160 mg/kg) showed antidepressant effects, immobility time decreased significantly during FST (84.6 ± 10.4 s) compared to the control, food intake increased significantly during NSFT (21.1 ± 2.5 mg/g) versus the control, and SP was 81%. PHP (80 mg/kg) reduced immobility time to 124.5 ± 6.7 s compared to the vehicle and increased the SP to 85%. Dexamethasone-induced depression. While co-treatment with PMP or PHP prevented depression initiated by dexamethasone. Only PHP reduced the number of buried marbles after 30 min against the control. The applied doses did not cause significant changes in the locomotor activity. Conclusion and implications: PMP and PHP exhibited antidepressant-like effects in mice. PHP also reduced the number of buried marbles, implying a reduction in obsessive-like behavior. These observations underscore the constituents inherent in PMP and PHP, which merit further exploration to elucidate their potential therapeutic applications.

Indexed as

Animal researchBrown algaeDepressionPadina pavonica

Identifiers

PMID40444160
PMCPMC12118780

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.