Evidence map›Paper›PMID 38004422›Full record

ArticlePharmaceuticals (Basel, Switzerland)2023

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?

Hamid Latifi-Navid, Amir Barzegar Behrooz, Saleh Jamehdor, Maliheh Davari, Masoud Latifinavid, Narges Zolfaghari, Somayeh Piroozmand, Sepideh Taghizadeh, Mahsa Bourbour, Golnaz Shemshaki and 5 more

Open access · goldAbstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

15 authors at 11 institutions in 5 countries.

Hamid Latifi-NavidDepartment of Molecular Medicine, National Institute of Genetic Engineering and Biotechnology, Tehran 1497716316, Iran.
Amir Barzegar BehroozDepartment of Human Anatomy and Cell Science, University of Manitoba College of Medicine, Winnipeg, MB R3T 2N2, Canada.ORCID 0000-0002-8113-5809
Saleh JamehdorDepartment of Virology, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan 6517838636, Iran.
Maliheh DavariDepartment of Molecular Medicine, National Institute of Genetic Engineering and Biotechnology, Tehran 1497716316, Iran.ORCID 0000-0003-0498-2358
Masoud LatifinavidDepartment of Mechatronic Engineering, University of Turkish Aeronautical Association, 06790 Ankara, Turkey.ORCID 0000-0002-6557-4414
Narges ZolfaghariDepartment of Molecular Medicine, National Institute of Genetic Engineering and Biotechnology, Tehran 1497716316, Iran.
Somayeh PiroozmandDepartment of Molecular Medicine, National Institute of Genetic Engineering and Biotechnology, Tehran 1497716316, Iran.
Sepideh TaghizadehDepartment of Molecular Medicine, National Institute of Genetic Engineering and Biotechnology, Tehran 1497716316, Iran.
Mahsa BourbourDepartment of Biotechnology, Alzahra University, Tehran 1993893973, Iran.ORCID 0000-0001-5951-5090
Golnaz ShemshakiDepartment of Studies in Zoology, University of Mysore, Manasagangothri, Mysore 570005, India.
Saeid Latifi-NavidDepartment of Biology, Faculty of Sciences, University of Mohaghegh Ardabili, Ardabil 5619911367, Iran.ORCID 0000-0002-6838-9425
Seyed Shahriar ArabBiophysics Department, Faculty of Biological Sciences, Tarbiat Modares University, Tehran 1411713116, Iran.ORCID 0000-0002-2739-1617
Zahra-Soheila SoheiliDepartment of Molecular Medicine, National Institute of Genetic Engineering and Biotechnology, Tehran 1497716316, Iran.ORCID 0000-0003-1292-465X
Hamid AhmadiehOphthalmic Research Center, Research Institute for Ophthalmology and Vision Science, Shahid Beheshti University of Medical Sciences, Tehran 1666673111, Iran.
Nader SheibaniDepartments of Ophthalmology and Visual Sciences and Cell and Regenerative Biology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA.ORCID 0000-0003-2723-9217
National Institute of Genetic Engineering and Biotechnology · IRUniversity of Wisconsin–Madison · USAlzahra University · IRHamedan University of Medical Sciences · IRShahid Beheshti University of Medical Sciences · IRTarbiat Modares University · IRUniversity of Manitoba · CAUniversity of Mohaghegh Ardabili · IRUniversity of Mysore · INUniversity of Turkish Aeronautical Association · TRWestern University · CA

Funding

UW Vision Research Core - Administrative CoreP30EY016665 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI AKIHIRO IKEDA · 2005 to 2026
$12.6M
NEI NIH HHS P30 EY016665NEI NIH HHS P30EY016665
6 · The paper itself

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.

Indexed as

age-related macular degenerationdeep learningdiabetic retinopathyfuzzy logicmulti-layer networkneurodegenerative disorders

Identifiers

PMID38004422
PMCPMC10674956
OpenAlexW4388297203

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.