Evidence map›Paper›PMID 41882440›Full record

ArticleAntonie van Leeuwenhoek2026

Deciphering anti-Vibrio potential of Persea americana through

Azizul Isha, Noraznita Sharifuddin, Mazni Abu Zarin, Yaya Rukayadi, Ahmad Faizal Abdull Razis

Abstract read
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In one paragraph

Article in Antonie van Leeuwenhoek, 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

5 authors.

Azizul IshaNatural Medicines & Products Research Laboratory, Institute of Bioscience, Universiti Putra Malaysia, Serdang, Selangor, Malaysia. azizul_isha@upm.edu.my.ORCID http://orcid.org/0000-0003-1327-1363
Noraznita SharifuddinAquatic Animal Health & Therapeutics Laboratory, Institute of Bioscience, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.ORCID http://orcid.org/0009-0003-7992-1346
Mazni Abu ZarinLaboratory of Vaccine & Biomolecules, Institute of Bioscience, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.ORCID http://orcid.org/0009-0009-4034-2287
Yaya RukayadiNatural Medicines & Products Research Laboratory, Institute of Bioscience, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.ORCID http://orcid.org/0000-0001-7807-4462
Ahmad Faizal Abdull RazisNatural Medicines & Products Research Laboratory, Institute of Bioscience, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.ORCID http://orcid.org/0000-0001-9205-3764

Funding

Universiti Putra Malaysia GP-IPM/2022/9731700
6 · The paper itself

Abstract

Vibrio infections represent a global public health threat and a major challenge to aquaculture, driving the need for sustainable alternatives to antibiotics. Plant-based metabolites are promising candidates due to their safety and bioactivity. Persea americana (P. americana) Mill. (avocado) is traditionally valued for its medicinal properties, and several studies have investigated its metabolite profile and antibacterial potential. However, further research is needed to fully elucidate these properties. This study aimed to profile metabolites from P. americana leaf extracted with solvents of different polarities (hexane, chloroform, acetone, and 70% (v/v) ethanol) and correlate these profiles with anti-Vibrio activity using a

Indexed as

Anti-Bacterial AgentsMetabolomePerseaPlant ExtractsVibrioMetabolomicsMicrobial Sensitivity TestsPlant LeavesPrincipal Component AnalysisProton Magnetic Resonance SpectroscopyAnti-Bacterial AgentsPlant Extracts1H-NMR metabolomicsPersea americanaPlant extractsVibrio spp.

Identifiers

PMID41882440

What OpenQuestion holds

Textmetadata
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.