Evidence map›Paper›PMID 36705868›Full record

ReviewClinical and experimental medicine2023

Advanced micro-/nanotechnologies for exosome encapsulation and targeting in regenerative medicine.

Hasti Tashak Golroudbari, Seyedeh Parnian Banikarimi, Aryan Ayati, Alireza Hadizadeh, Zahra Khorasani Zavareh, Kiana Hajikhani, Asieh Heirani-Tabasi, Mohsen Ahmadi Tafti, Saeed Davoodi, Hossein Ahmadi Tafti

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Clinical and experimental medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06536712 (Investigating the Effect of Intraperitoneal Administration of Exosome in Preventing Early Anastomotic Leakage in Rectal Cancer Patients Who Undergo Low Anterior Resection), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT06536712 phase1not yet recruitingnot on this mapstarted 2024, after this paper: background citation

Investigating the Effect of Intraperitoneal Administration of Exosome in Preventing Early Anastomotic Leakage in Rectal Cancer Patients Who Undergo Low Anterior Resection

TypeinterventionalSponsorTehran University of Medical SciencesRan2024 to 2024Enrolled20ConditionsRectal CancerArmsMesenchymal Stem Cells Derived Exosomes, Placebo
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. 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.

Hasti Tashak Golroudbari *Research Center for Advanced Technologies in Cardiovascular Medicine, Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Seyedeh Parnian Banikarimi *Research Center for Advanced Technologies in Cardiovascular Medicine, Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Aryan AyatiResearch Center for Advanced Technologies in Cardiovascular Medicine, Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Alireza HadizadehResearch Center for Advanced Technologies in Cardiovascular Medicine, Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Zahra Khorasani ZavarehResearch Center for Advanced Technologies in Cardiovascular Medicine, Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Kiana HajikhaniResearch Center for Advanced Technologies in Cardiovascular Medicine, Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Asieh Heirani-TabasiResearch Center for Advanced Technologies in Cardiovascular Medicine, Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Mohsen Ahmadi TaftiColorectal Surgery Research Center, Imam Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
Saeed DavoodiResearch Center for Advanced Technologies in Cardiovascular Medicine, Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Hossein Ahmadi TaftiResearch Center for Advanced Technologies in Cardiovascular Medicine, Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran. hosseinahmaditafti@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes, a subset of vesicles generated from cell membranes, are crucial for cellular communication. Exosomes' innate qualities have been used in recent studies to create nanocarriers for various purposes, including medication delivery and immunotherapy. As a result, a wide range of approaches has been designed to utilize their non-immunogenic nature, drug-loading capacity, or targeting ability. In this study, we aimed to review the novel methods and approaches in exosome engineering for encapsulation and targeting in regenerative medicine. We have assessed and evaluated each method's efficacy, advantages, and disadvantages and discussed the results of related studies. Even though the therapeutic role of non-allogenic exosomes has been demonstrated in several studies, their application has certain limitations as these particles are neither fully specific to target tissue nor tissue retainable. Hence, there is a strong demand for developing more efficient encapsulation methods along with more accurate and precise targeting methods, such as 3D printing and magnetic nanoparticle loading in exosomes, respectively.

Indexed as

ExosomesRegenerative MedicineHumansNanotechnologyBiologic scaffoldsBiomaterialsEncapsulationExosomeTargeting

Identifiers

What OpenQuestion holds

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Read underepoch 390

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.