Evidence map›Paper›PMID 28530198›Full record

ArticleIET nanobiotechnology2017

Improved bioavailability and pharmacokinetics of tea polyphenols by encapsulation into gelatin nanoparticles.

Karikalan Kulandaivelu, Abul Kalam Azad Mandal

Abstract read
In one paragraph

Article in IET nanobiotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. A Comprehensive Review of the Potential Use of Green Tea Polyphenols in the Management of COVID-19.Evidence-based complementary and alternative medicine : eCAM · 2021
    Review
  8. Theaflavin Chemistry and Its Health Benefits.Oxidative medicine and cellular longevity · 2021
    Review
  9. Article
  10. Review
  11. 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

2 authors.

Karikalan KulandaiveluSchool of Bio Sciences and Technology, VIT University, Vellore - 632014, Tamil Nadu, India.
Abul Kalam Azad MandalSchool of Bio Sciences and Technology, VIT University, Vellore - 632014, Tamil Nadu, India. akamandal@rediffmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The authors prepared surface modified (with polyelectrolyte layers), tea polyphenols (TPP) encapsulated, gelatin nanoparticles (TPP-GNP) and characterised them. The size of the spherical nanoparticles was ∼50 nm. Number of polyelectrolyte layers and incubation time influenced the encapsulation efficiency (EE); highest EE was noted in nanoparticles with six polyelectrolyte layers (TPP-GNP-6L) incubated for 4 h. TPP released from TPP-GNP-6L in simulated biological fluids indicated protection and controlled release of TPP due to encapsulation. Mathematical modelling indicated anomalous type as a predominant mode of TPP release. TPP-GNP-6L exhibited enhanced pharmacokinetics in rabbit model compared with free TPP. The area under the concentration-time curve and mean residence time were significantly higher in TPP-GNP-6L compared with free TPP which provide an evidence of higher bioavailability of TPP due to encapsulation. The authors demonstrated that encapsulation of TPP into GNPs favoured slow and sustained release of TPP with improved pharmacokinetics and bioavailability thereby can prolong the action of TPP.

Indexed as

AnimalsBiological AvailabilityBody FluidsDrug CompoundingGelatinMaterials TestingMetabolic Clearance RateNanocapsulesParticle SizePolyphenolsRabbitsTeaGelatinNanocapsulesPolyphenolsTea

Identifiers

PMID28530198
PMCPMC8676446

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.