Evidence map›Paper›PMID 42274555›Full record

ReviewCells2026

Polypharmacology of Pathway Crosstalk in Neurodegenerative Diseases: Chemical Modulation of Interconnected Signaling Networks.

Muhammad Sohail Khan, Imran Zafar, Muhammad Noman, Gabsik Yang, Ki Sung Kang, Jean C Bopassa

Abstract readReview
In one paragraph

Review in Cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Muhammad Sohail KhanCollege of Korean Medicine, Gachon University, 1342 Seongnamdaero, Seongnam 13120, Republic of Korea.
Imran ZafarDepartment of Biochemistry and Biotechnology, Faculty of Science, The University of Faisalabad (TUF), Faisalabad 38000, Punjab, Pakistan.ORCID 0000-0002-9246-0850
Muhammad NomanDepartment of Medical Laboratory Sciences, Faculty of Allied Health Sciences and Medicine, The University of Faisalabad (TUF), Faisalabad 38000, Punjab, Pakistan.ORCID 0009-0005-2595-9992
Gabsik YangCollege of Korean Medicine, Gachon University, 1342 Seongnamdaero, Seongnam 13120, Republic of Korea.
Ki Sung KangCollege of Korean Medicine, Gachon University, 1342 Seongnamdaero, Seongnam 13120, Republic of Korea.
Jean C BopassaDepartment of Cellular and Integrative Physiology, School of Medicine, University of Texas, Health Science Center at San Antonio (UTHSCSA), 7703 Floyd Curl Dr., San Antonio, TX 78229, USA.ORCID 0000-0003-3667-5790

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegenerative disorders, including Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and amyotrophic lateral sclerosis (ALS), arise from highly interconnected molecular and cellular abnormalities that progressively lead to neuronal dysfunction, synaptic failure, and cell death. This review provides a unified framework to understand the interrelated molecular mechanisms driving these diseases, with a focus on identifying key disease-specific intervention nodes. Core contributors include oxidative stress, mitochondrial dysfunction, protein aggregation, neuroinflammation, and emerging roles of peroxisomal dysfunction in redox imbalance, lipid dysregulation, and inflammatory amplification. Single-target therapies often show limited efficacy due to the complex, interconnected nature of these pathways. In contrast, polypharmacology, which targets multiple disease-relevant mechanisms simultaneously, offers a more promising therapeutic strategy. This review critically examines how pathway crosstalk drives neurodegenerative progression, with particular emphasis on mitochondrial-ROS-inflammatory signaling, aggregation-proteostasis failure, synaptic-neuroimmune dysfunction, and gut-brain communication. It evaluates various multi-node intervention strategies, including multi-target-directed ligands (MTDLs), molecular hybrids, natural products, drug repurposing, and nanocarrier-based delivery systems. Advances in network pharmacology, artificial intelligence (AI), bioinformatics, and multi-omics have enhanced the identification of actionable therapeutic nodes, candidate compounds, and brain-targeted delivery platforms. Notably, the NOD-like receptor pyrin domain-containing protein 3 (NLRP3) inflammasome and cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) pathways-play distinct roles in neuroinflammation, amplifying neuronal damage by releasing inflammatory cytokines and inducing mitochondrial dysfunction. However, successful translation into clinical practice remains constrained by challenges such as blood-brain barrier penetration, patient heterogeneity, and biomarker limitations. The review advocates for a shift towards mechanism-informed, patient-stratified polypharmacological strategies to better address the network pathology of neurodegeneration, despite significant translational hurdles.

Indexed as

Neurodegenerative DiseasesPolypharmacologySignal TransductionAnimalsHumansMitochondriaOxidative Stressmulti-target drugsnetwork pharmacologyneurodegenerationpathway crosstalkpolypharmacologysystems biology

Identifiers

PMID42274555
PMCPMC13257301

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.