ReviewFrontiers in drug delivery2026
Oral delivery of biologics: from barrier-limited formulation to active convective transport.
Review in Frontiers in drug delivery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Emerging Technologies for Oral Peptide Delivery: From Bioinspired Systems to Smart Device-Assisted Drug Delivery.Pharmaceuticals (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biologic therapeutics have transformed the treatment of chronic and life-threatening diseases, yet their clinical use depends almost entirely on parenteral administration. Oral delivery is the preferred route for patients, but it remains challenging for proteins, peptides, and other macromolecules. The gastrointestinal tract blocks their absorption through size exclusion at tight junctions, the hydrophobic lipid bilayer of enterocytes, restricted receptor-mediated uptake, and enzymatic degradation in the lumen and at the brush border. Decades of work on formulation strategies and chemical permeation enhancers have yielded only modest, inconsistent gains. For most biologics, absolute oral bioavailability stays below 1% under physiological conditions. These limitations have prompted a shift from passive transport strategies to active, force-based delivery. Over the past decade, ingestible device platforms have advanced along a clear developmental sequence: early microneedle systems established feasibility in animals, mucus-clearing robotic capsules and liquid-injection auto-injectors extended the approach to liquid biologics in large-animal models, and self-pressurized convective capsules introduced an excipient-driven mechanism requiring no moving parts. This progression culminated in the first Phase 1 human study, which showed that device-based oral delivery of a full-length IgG antibody can match the bioavailability of subcutaneous injection. That result confirms that mechanical bypass of gastrointestinal barriers is achievable in humans and sets a reference point for the field. This review traces the development of active oral biologic delivery systems from early preclinical work to clinical supply, with a focus on convective, force-enabled approaches using self-pressurized capsule technologies. We describe the gastrointestinal barriers that passive strategies cannot overcome, compare device-based platforms by mechanism and evidence, and examine the physical and engineering principles underlying self-pressurized capsule design. We also propose criteria for selecting candidate drugs and address safety, regulatory classification, and manufacturing requirements. The analysis places convective oral delivery within the broader class of force-based platforms and identifies what each system requires to advance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.