SEARCHOTHERophthalmology, retina

other·ophthalmology, retina, biomedical research, preclinical research, research methods·PMC10674956

Construction of an Exudative Age-Related Macular Degeneration Diagnostic and Therapeutic Molecular Network Using Multi-Layer Network Analysis, a Fuzzy Logic Model, and Deep Learning Techniques: Are Retinal and Brain Neurodegenerative Disorders Related?

Pharmaceuticals · 15 authors, 12 centres

AI SUMMARY

FIDELITY 100%

This summary was generated by AI from a single paper. It has not been reviewed by a clinician and is not clinical advice. Verify against the source before acting on it.

AGENT 01 · STRUCTURED SUMMARY

TRACE TO SOURCE

“

TL;DR

This preclinical study used computational network analysis and artificial intelligence to build a molecular network for neovascular age-related macular degeneration (nAMD). It identified key molecular components and found some shared with other neurodegenerative disorders, suggesting a potential common pathogenesis.

Full summary

606 CHARS

The study employed a multi-layer network analysis, a fuzzy logic model, deep learning (LSTM network), and a genetic algorithm to construct a diagnostic and therapeutic molecular network for neovascular age-related macular degeneration (nAMD). It identified 30 key genes, six miRNAs, and four lncRNAs involved in nAMD pathogenesis. The analysis also found three key metabolites common between AMD, Alzheimer’s disease, and schizophrenia, and nine key SNPs common among AMD and other neurodegenerative disorders. The authors propose these molecular components as potential future biomarkers and drug targets.

STUDY TYPE

other

SPECIALTY

ophthalmology

SUMMARISED BY

AI pipeline

FIDELITY CHECK

100% · A

ORIGINAL PAPER

PMC10674956

Construction of an Exudative Age-Related Macular Degeneration Diagnostic and Therapeutic Molecular Network Using Multi-Layer Network Analysis, a Fuzzy Logic Model, and Deep Learning Techniques: Are Retinal and Brain Neurodegenerative Disorders Related?

Pharmaceuticals

READ THE FULL PAPER

ABSTRACT

Neovascular age-related macular degeneration (nAMD) is a leading cause of irreversible visual impairment in the elderly. The current management of nAMD is limited and involves regular intravitreal administration of anti-vascular endothelial growth factor (anti-VEGF). However, the effectiveness of these treatments is limited by overlapping and compensatory pathways leading to unresponsiveness to anti-VEGF treatments in a significant portion of nAMD patients. Therefore, a system view of pathways involved in pathophysiology of nAMD will have significant clinical value. The aim of this study was to identify proteins, miRNAs, long non-coding RNAs (lncRNAs), various metabolites, and single-nucleotide polymorphisms (SNPs) with a significant role in the pathogenesis of nAMD. To accomplish this goal, we conducted a multi-layer network analysis, which identified 30 key genes, six miRNAs, and four lncRNAs. We also found three key metabolites that are common with AMD, Alzheimer’s disease (AD) and schizophrenia. Moreover, we identified nine key SNPs and their related genes that are common among AMD, AD, schizophrenia, multiple sclerosis (MS), and Parkinson’s disease (PD). Thus, our findings suggest that there exists a connection between nAMD and the aforementioned neurodegenerative disorders. In addition, our study also demonstrates the effectiveness of using artificial intelligence, specifically the LSTM network, a fuzzy logic model, and genetic algorithms, to identify important metabolites in complex metabolic pathways to open new avenues for the design and/or repurposing of drugs for nAMD treatment.

CITATION EXPORT

Hamid Latifi-Navid, Amir Barzegar Behrooz, Saleh Jamehdor et al.. Construction of an Exudative Age-Related Macular Degeneration Diagnostic and Therapeutic Molecular Network Using Multi-Layer Network Analysis, a Fuzzy Logic Model, and Deep Learning Techniques: Are Retinal and Brain Neurodegenerative Disorders Related?. Pharmaceuticals. (2023). https://doi.org/10.3390/ph16111555

AUTHORS

15 · 12 CENTRES

Hamid Latifi-Navid, Amir Barzegar Behrooz, Saleh Jamehdor, Maliheh Davari, Masoud Latifinavid, Narges Zolfaghari, Somayeh Piroozmand, Sepideh Taghizadeh, Mahsa Bourbour, Golnaz Shemshaki, Saeid Latifi-Navid, Seyed Shahriar Arab, Zahra-Soheila Soheili, Hamid Ahmadieh, Nader Sheibani

1Department of Molecular Medicine, National Institute of Genetic Engineering and Biotechnology, Tehran 1497716316, Iran; [email protected] (H.L.-N.); [email protected] (M.D.); [email protected] (N.Z.); [email protected] (S.P.); [email protected] (S.T.); [email protected] (Z.-S.S.)
2Departments of Ophthalmology and Visual Sciences and Cell and Regenerative Biology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA
3Department of Human Anatomy and Cell Science, University of Manitoba College of Medicine, Winnipeg, MB R3T 2N2, Canada; [email protected]
4Electrophysiology Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran 1416634793, Iran
5Department of Virology, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan 6517838636, Iran; [email protected]
6Department of Mechatronic Engineering, University of Turkish Aeronautical Association, 06790 Ankara, Turkey; [email protected]
7Department of Physiology and Pharmacology, Schulich School of Medicine & Dentistry, Western University, London, ON N6A 5C1, Canada
8Department of Biotechnology, Alzahra University, Tehran 1993893973, Iran; [email protected]
9Department of Studies in Zoology, University of Mysore, Manasagangothri, Mysore 570005, India; [email protected]
10Department of Biology, Faculty of Sciences, University of Mohaghegh Ardabili, Ardabil 5619911367, Iran; [email protected]
11Biophysics Department, Faculty of Biological Sciences, Tarbiat Modares University, Tehran 1411713116, Iran; [email protected]
12Ophthalmic Research Center, Research Institute for Ophthalmology and Vision Science, Shahid Beheshti University of Medical Sciences, Tehran 1666673111, Iran; [email protected]

EDITOR / REVIEWER

Marino F. A. Santos, Luís Passarinha