Evidence map›Paper›PMID 40144222›Full record

ArticleFrontiers in chemistry2025

Exploring shared therapeutic targets for Alzheimer's disease and glioblastoma using network pharmacology and protein-protein interaction approach.

Sushma Pradeep, M R Sai Chakith, S R Sindhushree, Pruthvish Reddy, Esther Sushmitha, Madhusudan N Purohit, Divya Suresh, Nanjunda Swamy Shivananju, Ekaterina Silina, Natalia Manturova and 4 more

Abstract read
In one paragraph

Article in Frontiers in chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

14 authors.

Sushma PradeepDepartment of Biotechnology and Bioinformatics, School of Life Sciences, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.
M R Sai ChakithDepartment of Pharmacology, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.
S R SindhushreeDepartment of Biotechnology and Bioinformatics, School of Life Sciences, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.
Pruthvish ReddyDepartment of Biotechnology, Acharya Institute of Technology, Bengaluru, Karnataka, India.
Esther SushmithaDepartment of Pharmacology, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.
Madhusudan N PurohitDepartment of Pharmaceutical Chemistry, JSS College of Pharmacy, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.
Divya SureshDepartment of Pharmaceutical Chemistry, JSS College of Pharmacy, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.
Nanjunda Swamy ShivananjuDepartment of Biotechnology, JSS Science and Technology University, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India.
Ekaterina SilinaInstitute of Digital Biodesign and Modeling of Living Systems, I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Natalia ManturovaDepartment of Surgery, Pirogov Russian National Research Medical University, Moscow, Russia.
Victor StupinDepartment of Surgery, Pirogov Russian National Research Medical University, Moscow, Russia.
Shiva Prasad KollurSchool of Physical Sciences, Amrita Vishwa Vidyapeetham, Mysuru Campus, Mysuru, Karnataka, India.
Chandan ShivamalluDepartment of Biotechnology and Bioinformatics, School of Life Sciences, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.
Raghu Ram AcharDivision of Biochemistry, School of Life Sciences, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Alzheimer's disease (AD) and glioblastoma (GBM) are complex neurological disorders with distinct pathologies but overlapping molecular mechanisms, including neuroinflammation, oxidative stress, and dysregulated signaling pathways. Despite significant advancements in research, effective therapies targeting both conditions remain elusive. Identifying shared molecular targets and potential therapeutic agents could offer novel treatment strategies for these disorders. Methodology: The study employs an integrative network pharmacology approach to explore the therapeutic potential of bioactive compounds from Results: Molecular docking studies were conducted using PyRx software to assess the binding interactions of 26 phytochemicals from Eclipta alba against the identified target genes. Luteolin exhibited the highest binding affinity to IL6 (-7.8 kcal/mol), forming stable hydrogen bonds and hydrophobic interactions. To further validate this interaction, molecular dynamics simulations (MDS) were performed using GROMACS, confirming the stability of the Luteolin-IL6 complex. Additionally, MM-PBSA binding energy calculations using AmberTools (-145.44 kJ/mol) provided further evidence of a strong and stable interaction. Pharmacokinetic and toxicity evaluations, conducted using SwissADME and pkCSM, highlighted luteolin's favorable drug-like properties, including good bioavailability and low toxicity. These findings suggest that luteolin may serve as a promising multi-target therapeutic agent for AD and GBM by modulating key pathological pathways. Conclusion: The present study provides a strong computational foundation for further

Indexed as

Alzheimer’s diseaseand molecular docking simulationbrain cancerEclipta albaglioblastomamolecular dockingnetwork pharmacologyprotein-protein interaction

Identifiers

PMID40144222
PMCPMC11938128

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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.