Evidence map›Paper›PMID 39006202›Full record

ArticleInternational journal of molecular and cellular medicine2023

Sooriyakala Rani Sri Prakash, Sree Meenakshi Kamalnath, Arul Jayanthi Antonisamy, Sivasankari Marimuthu, Sankar Malayandi

Abstract read
In one paragraph

Article in International journal of molecular and cellular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. ADMET & DMPK · 2026
    Review
  3. Article
  4. 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

5 authors.

Sooriyakala Rani Sri PrakashDepartment of Biotechnology, Mepco Schlenk Engineering College (Autonomous), Sivakasi, Tamil Nadu, India.
Sree Meenakshi KamalnathDepartment of Biotechnology, Mepco Schlenk Engineering College (Autonomous), Sivakasi, Tamil Nadu, India.
Arul Jayanthi AntonisamyDepartment of Biotechnology, Mepco Schlenk Engineering College (Autonomous), Sivakasi, Tamil Nadu, India.
Sivasankari MarimuthuDepartment of Biotechnology, Mepco Schlenk Engineering College (Autonomous), Sivakasi, Tamil Nadu, India.
Sankar MalayandiDepartment of Biotechnology, Mepco Schlenk Engineering College (Autonomous), Sivakasi, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of potential lead molecules in herbal medicines is crucial not only for validation but also for drug discovery. This study was focused on identifying the therapeutic mechanisms of 10 common herbs used to treat type 2 diabetes mellitus (T2DM) using network pharmacology and docking studies. Details pertaining to medicinal plants and their phytoconstituents were obtained from Indian Medicinal Plants, Phytochemistry, and Therapeutics and Dr. Duke's database, respectively. MolSoft was used to assess their drug likeness. Prediction of protein targets for the screened phytochemicals and the list of target genes involved in T2DM were obtained using Swiss TargetPrediction and GeneCards respectively. STRING; Cytoscape; Database for Annotation, Visualization, and Integrated Discovery; and PyRx were used for network construction, network analysis, gene ontology analysis, and molecular docking, respectively. The protein targets MAPK1, AKT1, PI3K, and EGFR were identified to play a crucial role in the progression of T2DM. Furthermore, molecular docking indicated that nimbaflavone exhibited high binding affinities for MAPK1 (-8.7 kcal/mole) and PI3K (-9.6 kcal/mole), whereas rutin and 10-hydroxyaloin-B showed high binding affinities for AKT1 (-7.4 kcal/mole) and EGFR (-8.1 kcal/mole), respectively. The findings from this study suggest that flavonoids are the major phytoconstituents that display antidiabetic activity by interacting with key protein molecules related to the MAPK and PI3K-AKT signaling pathways, thereby aiding in the treatment of T2DM. The activation of these pathways alters Ras-GTPase activity and enhances the expression of GLUT4, a glucose transporter, resulting in the uptake of glucose from the bloodstream.

Indexed as

gene ontologymolecular dockingnetwork pharmacologyType 2 diabetes mellitus

Identifiers

PMID39006202
PMCPMC11240057

What OpenQuestion holds

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LicenceCC BY-NC
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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.