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Three Different Protocols of Corneal Collagen Crosslinking in Keratoconus: Conventional, Accelerated and Iontophoresis
Published on: November 12, 2015
Exploring biomarkers for keratoconus: current insights and future directions
Deeksha Nautiyal1, Smriti Gaba1, Utkarsh Jain2
1School of Health Sciences and Technology, UPES, Dehradun, 248007, Uttarakhand, India.
Keratoconus (KC), a progressive corneal disease, involves thinning and protrusion, causing vision loss. This review explores its pathological mechanisms, focusing on biomarkers like PIP, MMPs, and interleukins for better diagnosis and treatment.
Area of Science:
- Ophthalmology and Vision Science
- Biochemistry
- Genetics
Background:
- Keratoconus (KC) is a progressive corneal disorder causing vision distortion and potential blindness, typically manifesting in adolescence and progressing into adulthood.
- Its pathophysiology is complex, influenced by genetic factors, environmental triggers, hormonal changes, and eye rubbing, with higher prevalence in certain populations and associations with conditions like Down syndrome.
- Early diagnosis remains challenging despite advancements in imaging and tear-based assays.
Purpose of the Study:
- To investigate the underlying pathological mechanisms of keratoconus.
- To identify key biomarkers, including Prolactin-Induced Protein (PIP), Matrix Metalloproteinases (MMPs), Interleukins, and genetic markers (LOX, FOXO1), for improved understanding and diagnosis.
- To explore the role of systemic and local inflammatory responses in KC and their potential as therapeutic targets.
Main Methods:
- Review of current literature on keratoconus pathophysiology.
- Analysis of identified biomarkers (PIP, MMPs, Interleukins) and genetic markers (LOX, FOXO1).
- Evaluation of diagnostic advancements, including corneal topography, tomography, tear-based assays, and artificial intelligence.
Main Results:
- Keratoconus involves a complex interplay of factors including oxidative stress, inflammation, and genetic predispositions.
- Specific biomarkers such as PIP, MMPs, and interleukins are implicated in the disease process.
- Tear-based diagnostics and AI show promise for non-invasive monitoring and early detection.
Conclusions:
- Understanding the biochemical and genetic profile of keratoconus is crucial for developing effective diagnostic and therapeutic strategies.
- Targeting inflammatory pathways and leveraging advanced diagnostics may significantly improve patient outcomes.
- Further research into keratoconus pathophysiology can lead to novel treatments and enhanced disease management.
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