Oculomics: Non-Invasive Insights into Overall Health

While it’s often said that the eyes are windows to the soul, they are equally profound windows to our health.
Oculomics Zilia
The unique anatomical features of the eye not only enable essential visual functions but also make it an invaluable gateway for the early detection of systemic conditions. This is strengthened by the eye’s access to non-invasive imaging technologies that examine its intricate network of blood vessels and the optic nerve, often revealing signs of disease before symptoms appear. Moreover, the integration of innovative technologies, frequently driven by artificial intelligence (AI), into eye care marks a pivotal shift, enabling professionals to detect a broader range of non-ocular conditions through eye examinations.

As these new technologies become more prevalent in clinical settings in the coming years, routine eye exams will transform into powerful tools for early health issue detection. These advanced, cost-effective oculomics technologies will elevate eye exams to a crucial role in preventive healthcare and enable more tailored medical treatments.

Understanding the Oculome and Oculomics

The spectrum of changes in the eye, ranging from microscopic alterations to visible clinical signs, constitutes what is known as the “Oculome.” Central to the development of this concept is the identification of ocular biomarkers—objective parameters that help forecast, evaluate, or diagnose diseases and guide treatment decisions. The study of these biomarkers, along with other eye-related changes and their connection to systemic health, falls under the emerging field of “Oculomics.” (1) This discipline leverages data from eye exams, imaging, and diagnostic tests to identify and monitor systemic diseases, assess disease risk, and evaluate treatment responses.

Remarkably, the eye is the only place in the human body that allows direct and unobstructed visualization of both neural tissue and vasculature. This visual access to the retina and its complex circulatory system provides unparalleled access to assess the integrity of the structure and to detect and quantify a vast array of proteins and molecules circulating in the blood. Indeed, these features can reveal early signs of a wide range of conditions, including neurodegenerative, psychiatric, cardiovascular, hematological, respiratory, and autoimmune disorders, along with certain cancers and medication-related toxicities. (2)

The Eye’s Role in Detecting Non-Ocular Conditions

The power of oculomics is already well-documented in the medical literature, with numerous examples of how routine eye exams today are uncovering critical health insights. For instance, diabetic retinopathy, a complication of diabetes, is often identified by observing changes in the retinal blood vessels, such as microaneurysms, hemorrhages, or fluid leakage, which indicate impaired glucose metabolism even before other symptoms emerge. (3) Similarly, the condition of retinal vessels offers critical insights into cardiovascular health; signs like narrowing, tortuosity, or the presence of retinal hemorrhages can reveal underlying issues such as hypertension or atherosclerosis, potentially signaling an increased risk of heart disease or stroke. (1,4) Furthermore, the eye’s direct connection to the central nervous system makes it a key tool in identifying neurological diseases. For example, multiple sclerosis, which is characterized by inflammation and nerve damage in the brain, often initially manifests as optic neuritis—an inflammation of the optic nerve. This painful vision loss in one eye can be an early indicator of the disease. (5)

Oculomics leverages data from eye exams, imaging, and diagnostic tests to identify and monitor systemic diseases, assess disease risk, and evaluate treatment responses.

With the rise of AI, the potential of oculomics has surged, unveiling opportunities previously unimaginable and offering a glimpse into the revolutionary changes ahead. Here’s a glimpse into the most exciting advancements:

Neurodegenerative and Psychiatric Disorders

Parkinson’s Disease: AI-powered eye tracking and retinal hyperspectral imaging are emerging as promising tools for the early detection of Parkinson’s disease. Eye-tracking technologies can capture subtle changes in eye movements associated with the disease, while hyperspectral imaging can analyze the biochemical composition of the eye to identify abnormalities indicative of Parkinson’s. (6-7)

Alzheimer’s Disease: Hyperspectral imaging holds significant potential in the early detection of Alzheimer’s disease by recognizing delicate alterations in the retinal tissue, including the presence of beta-amyloid plaques, which may correlate with neurodegenerative processes. (8)

Schizophrenia and Mental Health: Electroretinography (ERG) appears to be a promising indicator of vulnerability to mental health conditions like depression and schizophrenia. (9-10)

ADHD and Autism: AI-based eye-tracking technology is being developed to screen for ADHD symptoms (11) and autism (12) in children.

Cardiovascular and Systemic Conditions

Cardiac Amyloidosis: Both ocular spectroscopy and a novel fluorescent ocular tracer are being studied for their ability to detect transthyretin (ATTR) amyloidosis, a rare but serious heart disease. (13-14)

Jaundice and Liver Dysfunction: Trans-conjunctiva optical imaging, combined with human brain-like algorithms, is being investigated as a tool for identifying and quantifying jaundice, offering potential for early diagnosis of liver-related issues. (15)

Sarcopenia Prediction: Machine learning approaches are being applied to oculomics for predicting sarcopenia, a condition characterized by the loss of skeletal muscle mass associated with aging, using retinal imaging to assess the risk of muscle loss and related health complications. (16)

Cancer

Breast Cancer: A recent study identified multiple tear proteins as potential biomarkers for breast cancer, supporting their use in non-invasive disease screening. (18)

Prostate, Colon, Lung & Ovarian Cancer: Lacryglobin levels in tear fluid from patients with colon cancer, prostate cancer and lung cancer are higher when compared with healthy individuals, while the reverse was found for ovarian cancer patients. (19)

Spectroscopy: A Revolutionary Tool for Biomarker Detection

Spectroscopy, a technique that examines the interaction between light and matter, stands at the forefront of innovative methods for investigating both ocular and systemic diseases. This method is not new to the scientific community; it has long been a cornerstone in various other fields such as astronomy and environmental science. Despite its widespread application in multiple areas of healthcare, the use of spectroscopy in the eye is a groundbreaking development. For the first time, this powerful tool is being harnessed to explore the eye’s intricate biological landscape. By decoding distinct spectral signatures of proteins and molecules—much like molecular fingerprints—spectroscopy offers a new frontier in diagnostics, enabling the precise identification and quantification of countless biomarkers, opening the doors potential applications in ophthalmology, neurology, cardiology, primary care, and more.
What makes this innovation particularly compelling is its ability to provide explainable insights. By revealing the specific molecular changes within the eye, spectroscopy offers a transparent view of the biological processes at play. This clarity paves the way for more targeted and personalized medical interventions, enhancing patient outcomes across the board.

The Impact of Oculomics on Modern Healthcare

Building on the unique diagnostic capabilities of the eye, oculomics is poised to have a profound impact on the healthcare industry as a whole. This impact is evident across several key areas:

Opportunistic Detection: Oculomics empowers healthcare providers to leverage routine eye exams to identify subtle changes that may indicate underlying health conditions. This opportunistic approach, often referred to as “incidental findings,” expands the diagnostic scope of eye care, transforming it into an important gateway for early intervention. This proactive detection not only benefits individual patients but also contributes to public health initiatives by identifying and addressing potential health risks before they escalate.

Enhanced Accessibility: Eye care clinics are widely accessible and often integrated into community settings such as shopping malls and rural areas. This broad reach makes early detection efforts more feasible across diverse populations. Combined with real-time testing capabilities, oculomics facilitates rapid assessments, expanding the impact of eye exams on overall healthcare.

Cost-Effective Diagnostics: Oculomics provides a cost-effective alternative to traditional, expensive technologies like Ultrasound, MRI and CT scans. By making advanced diagnostics more affordable and operationally feasible, oculomic tools not only improve individual patient care but also contribute to broader public health initiatives. Early detection through these tools can lead to significant cost savings for healthcare systems by reducing the need for costly treatments and hospitalizations.

Interdisciplinary Collaboration: Oculomics highlights the critical role of interdisciplinary collaboration in healthcare. When systemic diseases are detected during an eye exam, referrals to specialists ensure that patients receive comprehensive care. This coordinated approach, guided by detailed ocular findings, enhances patient outcomes and strengthens the healthcare system as a whole.

Spectroscopy stands at the forefront of innovative methods for investigating both ocular and systemic diseases.

A Future of Early Detection and Better Outcomes

The advancements in oculomics hold the promise of transforming routine eye exams into powerful tools for combating the modern-day Four Horsemen of chronic disease: cardiovascular disease, cancer, neurodegenerative disorders, and metabolic conditions. By leveraging cutting-edge technologies like advanced imaging, and AI, oculomics is poised to identify these formidable adversaries at their earliest stages, long before they can wreak havoc on the body. This proactive approach not only enhances patient outcomes but also represents a battle against the most daunting health challenges of our time. 

As research in this field progresses, innovations in ocular biomarker detection are driving this transformation. With continued advancements, including contributions from companies like Zilia and its non-invasive spectroscopy based technology platform, the eye may soon become our most vital ally in the battle against these pervasive diseases, offering hope for a future where early detection and personalized care lead to healthier lives and better outcomes for all.

References

  1. Wagner SK, Fu DJ, Faes L, Liu X, Huemer J, Khalid H, et al. Insights into systemic disease through retinal imaging-based oculomics. Transl Vis Sci Technol. 2020;9(2):6.
  2. Honavar SG. Oculomics – The eyes talk a great deal. Indian J Ophthalmol. 2022 Mar;70(3):713.
  3. Luo Y, Liu D, Zhang H. Endothelial dysfunction in diabetic retinopathy. Front Endocrinol (Lausanne). 2021;12:738252. https://doi.org/10.3389/fendo.2021.738252
  4. Wong TY, Klein R, Sharrett AR, et al. The prevalence and risk factors of retinal microvascular abnormalities in older persons: the Cardiovascular Health Study. Ophthalmology. 2003;110(4):658-666.
  5. Shams PN, Plant GT. Optic neuritis: a review. Int MS J. 2009;16(3):82-89.
  6. Brien, D. C., Riek, H. C., Yep, R., Swartz, R., & Munoz, D. P., et al.  Classification and staging of Parkinson’s disease using video-based eye tracking. Parkinsonism & Related Disorders, 2023. Volume 110, 105316. DOI: 10.1016/j.parkreldis.2023.105316.
  7. Ueda E, Watanabe M, Nakamura D, Matsuse D, Tanaka E, Fujiwara K, et al. Distinct retinal reflectance spectra from retinal hyperspectral imaging in Parkinson’s disease. J Neurol Sci. 2024 Jun 15;461:123061. doi: 10.1016/j.jns.2024.123061. Epub 2024 May 23. PMID: 38797139.
  8. Sharafi SM, Sylvestre JP, Chevrefils C, Soucy JP, Beaulieu S, Pascoal TA, Arbour JD, Rhéaume MA, Robillard A, Chayer C, Rosa-Neto P, Mathotaarachchi SS, Nasreddine ZS, Gauthier S, Lesage F. Vascular retinal biomarkers improves the detection of the likely cerebral amyloid status from hyperspectral retinal images. Alzheimers Dement (N Y). 2019 Oct 14;5:610-617. doi: 10.1016/j.trci.2019.09.006. PMID: 31650017; PMCID: PMC6804547.
  9. Peredo, R., Gagné, A. M., Gilbert, E., Hébert, M., Maziade, M., & Mérette, C. Electroretinography may reveal cognitive impairment among a cohort of subjects at risk of a major psychiatric disorder. Psychiatry Research, 2020. Volume 291, 113227. DOI: 10.1016/j.psychres.2020.113227.
  10. Lavoie J, Maziade M, Hébert M. The brain through the retina: the flash electroretinogram as a tool to investigate psychiatric disorders. Prog Neuropsychopharmacol Biol Psychiatry. 2014 Jan 3;48:129-34. doi: 10.1016/j.pnpbp.2013.09.020. Epub 2013 Oct 10. PMID: 24121062.
  11. Chen X, Wang S, Yang X, Yu C, Ni F, Yang J, et al. Utilizing artificial intelligence-based eye tracking technology for screening ADHD symptoms in children. Front Psychiatry. 2023 Nov 14;14:1260031. doi: 10.3389/fpsyt.2023.1260031. PMID: 38034916; PMCID: PMC10682190.
  12. Kanhirakadavath MR, Chandran MSM. Investigation of Eye-Tracking Scan Path as a Biomarker for Autism Screening Using Machine Learning Algorithms. Diagnostics (Basel). 2022 Feb 17;12(2):518. doi: 10.3390/diagnostics12020518. PMID: 35204608; PMCID: PMC8871384.
  13. Zilia. Zilia launches innovative project to detect a rare heart disease. 2024. Retrieved August 29, 2024, from https://ziliahealth.com/blog/ocular-spectroscopy-attr-amyloidosis-detection/
  14. Amydis. Detection of TTR amyloid in the conjunctiva using a novel fluorescent ocular tracer. 2024. Retrieved August 29, 2024, from https://amydis.com/2024/02/18/detection-of-ttr-amyloid-in-the-conjunctiva-using-a-novel-fluorescent-ocular-tracer/
  15. Kihara T, Sugihara T, Ikeda S, Matsuki Y, Koda H, Onoyama T, et al. Identification and Quantification of Jaundice by Trans-Conjunctiva Optical Imaging Using a Human Brain-like Algorithm: A Cross-Sectional Study. Diagnostics (Basel). 2023 May 17;13(10):1767. doi: 10.3390/diagnostics13101767. PMID: 37238251; PMCID: PMC10217534.
  16. Kim BR, Yoo TK, Kim HK, Ryu IH, Kim JK, Lee IS, et al. Oculomics for sarcopenia prediction: a machine learning approach toward predictive, preventive, and personalized medicine. EPMA J. 2022 Aug 8;13(3):367-382. doi: 10.1007/s13167-022-00292-3. PMID: 36061832; PMCID: PMC9437169.
  17. Aldughayfiq B, Ashfaq F, Jhanjhi NZ, Humayun M. Explainable AI for Retinoblastoma Diagnosis: Interpreting Deep Learning Models with LIME and SHAP. Diagnostics (Basel). 2023 Jun 1;13(11):1932. doi: 10.3390/diagnostics13111932. PMID: 37296784; PMCID: PMC10253103.
  18. Daily A, Ravishankar P, Harms S, Klimberg VS. Using tears as a non-invasive source for early detection of breast cancer. PLoS One. 2022 Apr 26;17(4):e0267676. doi: 10.1371/journal.pone.0267676. PMID: 35471994; PMCID: PMC9041847.
  19. Nandi SK, Singh D, Upadhay J, Gupta N, Dhiman N, Mittal SK, Mahindroo N. Identification of tear-based protein and non-protein biomarkers: Its application in diagnosis of human diseases using biosensors. Int J Biol Macromol. 2021;193(Part A):838-846. https://doi.org/10.1016/j.ijbiomac.2021.10.198
  20. Lapointe N, Akitegetse C, Poirier J, Picard M, Sauvageau P, Sauvageau D. Targeted spectroscopy in the eye fundus. J Biomed Opt. 2023 Dec;28(12):126004. doi: 10.1117/1.JBO.28.12.126004. Epub 2023 Dec 15. PMID: 38111476; PMCID: PMC10725981.

Written by the Zilia Team on December 3, 2024

More on our Blog