Evidence map›Paper›PMID 42656698›Full record

ReviewFrontiers in pharmacology2026

From bench to bedside: experimental pharmacology approaches to overcome bioavailability, stability, and translational barriers of bioactive peptides from natural sources.

Mamoudou Hamadou, Saurav Kumar Mishra, Abdulhalim Musa Abubakar, Bahri Başaran, Mune Mune Martin Alain

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 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.

Mamoudou HamadouDepartment of Biological Sciences, Biochemistry, Bioinformatics, and Bioactive Compounds for Health Promotion, Research Unit, Faculty of Science, University of Maroua, Maroua, Cameroon.
Saurav Kumar MishraDepartment of Bioinformatics, University of North Bengal, Darjeeling, West Bengal, India.
Abdulhalim Musa AbubakarDepartment of Chemical Engineering, Faculty of Engineering, Modibbo Adama University, Yola, Adamawa, Nigeria.
Bahri BaşaranDepartment of Leather Engineering, Faculty of Engineering, Ege University, Izmir, Türkiye.
Mune Mune Martin AlainDepartment of Biological Sciences, Biochemistry, Bioinformatics, and Bioactive Compounds for Health Promotion, Research Unit, Faculty of Science, University of Maroua, Maroua, Cameroon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bioactive peptides derived from natural sources (marine organisms, plants, microbes, and fermented foods) exhibit potent antimicrobial, antihypertensive, antioxidant, and anticancer activities. However, their clinical translation is severely hindered by poor oral bioavailability, rapid proteolytic degradation, suboptimal pharmacokinetic profiles, and inconsistencies in sourcing and standardization. Objective: This review critically examines experimental pharmacology strategies to overcome these translational barriers, including Key findings: Most unmodified natural peptides display apparent permeability coefficients below Conclusion: Rigorous experimental pharmacology, rather than bioactivity alone, is the key to bridging the bench-to-bedside gap for natural bioactive peptides. A standardized translational workflow from discovery to IND filing is proposed to accelerate clinical application of these promising molecules.

Indexed as

advanced delivery systemsbioactive peptidesbioavailabilityexperimental pharmacologynatural sourcespeptide stabilitypharmacokineticstranslational barriers

Identifiers

PMID42656698
PMCPMC13507803

What OpenQuestion holds

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Registered trials

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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.