Evidence map›Paper›PMID 41188685›Full record

ReviewPharmaceutical research2025

Multifunctional Engineering of Exosomes for Precision Therapeutics: Strategies for Targeted Delivery, Barrier Evasion, and Clinical Translation.

Shea Riona Mendonca, Pragathi Devanand Bangera, Mahesha Keerikkadu, Vamshi Krishna Tippavajhala, Mahalaxmi Rathnanand

Abstract readReview
In one paragraph

Review in Pharmaceutical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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.

Shea Riona MendoncaDepartment of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Pragathi Devanand BangeraDepartment of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Mahesha KeerikkaduDepartment of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Vamshi Krishna TippavajhalaDepartment of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Mahalaxmi RathnanandDepartment of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India. mahalaxmi.r@manipal.edu.ORCID http://orcid.org/0000-0002-6339-2836

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes (EXM), cell-secreted nanoscale vesicles, are now used as promising tools for therapeutic protein, nucleic acid, and small molecule delivery. However, various challenges, such as rapid immune system clearance, ineffective cargo loading, and reduced targeting specificity, hold them back from being clinically translated. Recent breakthroughs in EXM engineering have made them excellent biomolecule delivery tools. This review critically explores state-of-the-art strategies to maximize cargo incorporation, reengineer EXM surfaces, and create synthetic EXM mimetics. We present important engineering methods, such as genetic manipulation to increase cargo encapsulation, functionalization with targeting ligands, and designing synthetic vesicle structures. We further discuss the therapeutic uses of engineered EXM for different applications, such as cancer treatment, gene therapy, and regenerative medicine, highlighting their potential to evade biological barriers like the blood-brain barrier. Challenges in manufacturing, quality control, and regulatory concerns of translating engineered EXM into clinical therapies are also discussed. We emphasized the upcoming trends that would facilitate improving EXM-based delivery platforms, such as the creation of multifunctional engineered EXM and the incorporation of artificial intelligence for tailored drug delivery. This review stresses the revolutionary value of EXM engineering in establishing next-generation targeted therapeutics, unveiling new fronts for precision medicine and personalized health.

Indexed as

Drug Delivery SystemsExosomesPrecision MedicineAnimalsBlood-Brain BarrierGenetic TherapyHumansNeoplasmsbiomoleculecancerexosomesgene therapyimmune system

Identifiers

PMID41188685
PMCPMC12698739

What OpenQuestion holds

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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.