Evidence map›Paper›PMID 41369159›Full record

ReviewDrug delivery2025

Multifunctional self-emulsifying drug delivery system: an efficient strategy for oral delivery of therapeutic peptides and proteins.

Guofei Li, Changyu Shao, Yuhao Zhang, Jinguo Li, Puxiu Wang, Tianyang Ren

Abstract readReview
In one paragraph

Review in Drug delivery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Guofei LiDepartment of Pharmacy, Shengjing Hospital of China Medical University, Shenyang, China.
Changyu ShaoDepartment of Pharmacy, Shengjing Hospital of China Medical University, Shenyang, China.
Yuhao ZhangDepartment of Pharmacy, Shengjing Hospital of China Medical University, Shenyang, China.
Jinguo LiDepartment of Pharmacy, Shengjing Hospital of China Medical University, Shenyang, China.
Puxiu WangDepartment of Pharmacy, the First Affiliated Hospital of China Medical University, Shenyang, China.
Tianyang RenDepartment of Pharmacy, Shengjing Hospital of China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral delivery is the most preferred route for accessing bioactive peptides and proteins for disease treatment from the patient's viewpoint. However, this is a great challenge because orally administered peptides and proteins are susceptible to the harsh gastrointestinal (GI) environment, various metabolic enzymes, and thiol/disulfide exchange reactions, and they cannot permeate the intestinal mucus and epithelial barriers. The self-emulsifying drug delivery system (SEDDS) has recently gained prominence because of its potential in the oral delivery of peptides and proteins. Stable payloads of hydrophilic proteins can be achieved in SEDDSs using feasible lipidization techniques, especially hydrophobic ion pairing. Upon entrapment in oily droplets derived from SEDDSs, protein drugs can be protected against enzymatic degradation and thiol/disulfide exchange reactions in the GI tract. After optimizing functional excipients and developing an efficient combination strategy, SEDDS droplets exhibit high mucus and membrane permeability and further enhance drug absorption and transport. The desired oral bioavailability and therapeutic effects of peptide and protein drugs could be achieved

Indexed as

Drug Delivery SystemsPeptidesProteinsAdministration, OralAnimalsBiological AvailabilityEmulsionsExcipientsHumansEmulsionsExcipientsPeptidesProteinslipidizationOral deliveryself-emulsifying drug delivery systemtherapeutic peptides and proteins

Identifiers

PMID41369159
PMCPMC12697275

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.