Evidence mapPaperPMID 39734205Full record

SynthesisJournal of nanobiotechnology2024

Nanoparticle and microparticle-based systems for enhanced oral insulin delivery: A systematic review and meta-analysis.

Carlos E Romero-Carmona, Juan I Chávez-Corona, Enrique Lima, Hernán Cortés, David Quintanar-Guerrero, María J Bernad-Bernad, Iván Ramos-Martínez, Sheila I Peña-Corona, Javad Sharifi-Rad, Gerardo Leyva-Gómez

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of nanobiotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
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

10 authors.

Carlos E Romero-Carmona *Departamento de Farmacia, Facultad de Química, Universidad Nacional Autónoma de México, 04510, Ciudad de Mexico, Mexico.
Juan I Chávez-Corona *Departamento de Farmacia, Facultad de Química, Universidad Nacional Autónoma de México, 04510, Ciudad de Mexico, Mexico.
Enrique LimaLaboratorio de Fisicoquímica y Reactividad de Superficies (LaFReS), Instituto de Investigaciones en Materiales, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico.
Hernán CortésLaboratorio de Medicina Genómica, Departamento de Genómica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra (INR-LGII), 14389, Ciudad de Mexico, Mexico.
David Quintanar-GuerreroLaboratorio de Investigación y Posgrado en Tecnología Farmacéutica, Universidad Nacional Autónoma de México-FESC, Campus 1, 54714, Cuautitlán Izcalli, Mexico.
María J Bernad-BernadDepartamento de Farmacia, Facultad de Química, Universidad Nacional Autónoma de México, 04510, Ciudad de Mexico, Mexico.
Iván Ramos-MartínezUnidad de Micología, Departamento de Microbiología-Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, 04510, Ciudad de Mexico, Mexico.
Sheila I Peña-CoronaDepartamento de Farmacia, Facultad de Química, Universidad Nacional Autónoma de México, 04510, Ciudad de Mexico, Mexico. sheila.irais.pc@gmail.com.
Javad Sharifi-RadUniversidad Espíritu Santo, Samborondón, Ecuador. javadsharifirad@uees.edu.ec.
Gerardo Leyva-GómezDepartamento de Farmacia, Facultad de Química, Universidad Nacional Autónoma de México, 04510, Ciudad de Mexico, Mexico. leyva@quimica.unam.mx.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) prevalence is rising worldwide. Current therapies comprising subcutaneous insulin injections can cause adverse effects such as lipodystrophy, local reactions like redness and swelling, fluid retention, and allergic reactions. Nanoparticle carriers for oral insulin are groundbreaking compared to existing methods because they are non-invasive treatments, showing operational convenience, controlled release profile, and ability to simulate the physiological delivery route into the bloodstream. These systems improve patient adherence and have demonstrated the potential to lower blood glucose levels in DM. We present a systematic review and meta-analysis aimed at compiling relevant data to pave the way for developing innovative nano- and microparticles for the oral delivery of insulin. Our analysis of 85 articles revealed that the diminution of glucose levels is not proportional to the administered insulin dosage, which ranged from 1 to 120 International Units (IU). The meta-analysis data indicated that 25 IU of encapsulated porcine insulin did not produce a statistically significant outcome (p = 0.93). In contrast, a dosage of 30 IU was efficacious in eliciting an optimal hypoglycemic effect compared to excipient controls. Parameters such as a high degree of encapsulation (~ 90%), particle size (200-400 nm), and polydispersity index (0.086-0.3) are all associated with lower blood glucose levels. These parameters were also significant in the linear regression analysis. Among the excipients employed, chitosan emerged as a prevalent excipient in formulations due to its biocompatible and biodegradable properties and its ability to establish stable polymeric matrices. Even though oral insulin administration is a promising therapeutic method, it cannot guarantee preclinical safety and therapeutic efficacy yet in regulating glucose levels in diabetic conditions.

Indexed as

InsulinNanoparticlesAdministration, OralAnimalsBlood GlucoseDiabetes MellitusDrug CarriersDrug Delivery SystemsHumansHypoglycemic AgentsParticle SizeBlood GlucoseDrug CarriersHypoglycemic AgentsInsulinEncapsulation percentageGlucose blood decreaseNano-microparticlesOral deliveryParticle size

Identifiers

PMID39734205
PMCPMC11682652

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.