Evidence map›Paper›PMID 37986269›Full record

ReviewCurrent molecular medicine2024

The Antidiabetic Mechanisms of Hesperidin: Hesperidin Nanocarriers as Promising Therapeutic Options for Diabetes.

Fatemeh Kaviani, Iraj Baratpour, Sorayya Ghasemi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 21% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Fatemeh KavianiStudents Research Committee, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Iraj BaratpourStudents Research Committee, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Sorayya GhasemiMedical Plants Research Center, Basic Health Sciences Institute, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Shahrekord University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A natural flavonoid with exceptional medicinal capabilities, hesperidin, has shown encouraging results in the treatment of diabetes. Thoughts are still being held on the particular processes through which hesperidin exerts its anti-diabetic effects. This work clarifies the complex antidiabetic mechanisms of hesperidin by investigating the molecular pathways involved in glucose homeostasis, insulin signaling, and oxidative stress control. Additionally, the article explores the newly developing field of nanocarrier-based systems as a prospective means of boosting the therapeutic efficiency of hesperidin in the treatment of diabetes. This is because there are difficulties connected with the efficient delivery of hesperidin. These cutting-edge platforms show enormous potential for changing diabetes therapy by utilizing the benefits of nanocarriers, such as enhanced solubility, stability, and targeted delivery. In conclusion, our comprehensive review emphasizes the antidiabetic potential of hesperidin and underscores the intriguing possibilities provided by hesperidin nanocarriers in the search for more effective and individualized diabetes therapies.

Indexed as

Diabetes MellitusDrug CarriersHesperidinHypoglycemic AgentsNanoparticlesAnimalsDrug Delivery SystemsHumansInsulinOxidative StressDrug CarriersHesperidinHypoglycemic AgentsInsulinantidiabetic mechanismsdiabetesefficient delivery.Hesperidinnanocarriertreatment

Identifiers

PMID37986269
OpenAlexW4388849393

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.