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Review article


Mitochondrial Retinal Imaging - What Do We Know So Far

Raffaele Raimondi1,2Grant L. Hom1,2Thais F. Conti1,2Rishi P. Singh1,2,3
1Department of ophthalmology, Cole Eye Institute, Cleveland Clinic Foundation, Cleveland, Ohio 44106, USA, 2Center for Ophthalmic Bioinformatics, Cole Eye Institute, Cleveland Clinic Foundation, Cleveland, Ohio, USA, 3Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
Date of Submission: 19-Nov-2018, Date of Acceptance: 20-Mar-2019, Date of Web Publication: 06-Apr-2019.
Corresponding Author:
Corresponding Author

Raffaele Raimondi

Cleveland Clinic, 2022 East 105th Street, Cleveland, Ohio 44106, USA.
E-mail: raffor9@gmail.com

Corresponding Author:
Corresponding Author

Raffaele Raimondi

Cleveland Clinic, 2022 East 105th Street, Cleveland, Ohio 44106, USA.
E-mail: raffor9@gmail.com

DOI: 10.25259/AJOCT-13-2018 Facebook Twitter Google Linkedin

Recent studies demonstrate the crucial role of mitochondria in retinal disease pathogenesis. Recently, a device was developed to non-invasively study retinal metabolic stress and measure retinal mitochondrial activity. Previous studies indicate that oxidized flavoproteins increase during metabolic stress and are a marker of mitochondrial dysfunction. This device measures oxidized flavoprotein fluorescence, which absorbs blue light and emits green autofluorescence. This review summarizes the biological rationale, technology advances, research findings, and future perspectives of mitochondrial retinal imaging.
Keywords: Age-related macular degeneration, Diabetic retinopathy, Flavoprotein fluorescence, Mitochondrial retinal imaging, Retinal metabolic analysis, Retinal mitochondrial dysfunction

INTRODUCTION


The mitochondrion is considered to be the powerhouse of eukaryotic cells. Oxidative phosphorylation produces energy, leading to adenosine triphosphate production. In addition, mitochondria perform numerous other functions in cellular homeostases such as apoptosis regulation, steroid biosynthesis, and nucleotide metabolism. For this reason, mitochondrial dysfunction can severely compromise cellular homeostasis and has been highlighted as a crucial mechanism in the pathophysiology of normal aging and pathologic processes including retinal diseases.[1,2]

Mitochondrial dysfunction is recognized to play a crucial role in a wide range of diseases and organs, with the most affected organs being those that have a high metabolic rate such as brain and heart.[3] For example, previous studies have shown evidence of mitochondrial involvement in the pathophysiology of neurodegenerative diseases including Parkinson’s disease, Alzheimer’s disease, and Huntington’s disease, and in cardiac ischemia-reperfusion injury.

Recent research also highlighted the importance of mitochondria in another highly metabolic active tissue: The retina. Mitochondria are abundantly present in active retinal cells such as retinal pigmented epithelium (RPE) cells. The mitochondria play a central part in homeostasis. Reactive oxygen species (ROS) can typically alter mitochondria functions leading to respiratory chain impairment and loss of membrane potential; these changes precede apoptosis.[4]

Thus, rising comprehension of mitochondria’s role in retinal functioning led to the development of a novel device to assess oxidative stress as a measure of retinal health. In contrast with other organs, the retina medium is transparent and allows for non-invasive detection of mitochondrial dysfunction.

To date, many papers have been published testing this device in different diseases. The purpose of this review is to provide a concise source about current understandings of mitochondrial non-invasive imaging in normal and retinal diseases.

LITERATURE SEARCH


A literature search of PubMed was conducted and the papers included were published between 2008 and 2018. Articles published in peer-reviewed journals on mitochondrial retinal imaging were included. The search included the following keywords: Non-invasive detection mitochondrial dysfunction and/or mitochondria dysfunction imaging and/or retina flavoprotein fluorescence (FPF). Publications cited in the references that were relevant to our subject were also selected. After reviewing the abstracts, studies not directly related to the topic were excluded from the study.

RETINAL DISEASES AND MITOCHONDRIAL DYSFUNCTION


Multiple studies have shown the importance of mitochondria in the pathophysiology of retinal disorders such as diabetic retinopathy (DR), age-related macular degeneration (AMD), and glaucoma.

DR

In diabetes mellitus (DM), hyperglycemia induces chronic overproduction of ROS that impair antioxidant defenses,[5] damaging mitochondrial DNA (mtDNA), and disrupting mitochondrial membrane potential. This leads to cytochrome C release and initiation of apoptosis. In response, damaged mitochondria produce more ROS creating a vicious cycle of oxidative damage (Figure 1).[6,7]

published-articles/2/2/Figures/Figure-1.jpg

Figure 1: Synoptic image of pathophysiological pathways involving mitochondrial dysfunction. Different factors like hyperglycemia, genetics, aging and intraocular pressure can trigger the alterations that lead to an increase in oxidative stress which causes mitochondrial dysfunction. In turn, mitochondrial dysfunction increases oxidative stress and leads to a vicious cycle of oxidative damage.

Figure-1.jpg

Figure 1: Synoptic image of pathophysiological pathways involving mitochondrial dysfunction. Different factors like hyperglycemia, genetics, aging and intraocular pressure can trigger the alterations that lead to an increase in oxidative stress which causes mitochondrial dysfunction. In turn, mitochondrial dysfunction increases oxidative stress and leads to a vicious cycle of oxidative damage.

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AMD

Mitochondria of RPE cells are recognized to have considerable involvement in AMD development.[1] From a genetic standpoint, a variant of the gene age-related maculopathy susceptibility 2 (ARMS2) has been identified to raise disease susceptibility. This variant transcript is an unstable mRNA and decreased the production of the mitochondrial protein ARMS2 adversely affects organelle functioning. Furthermore, oxidative damage increases with aging and can induce structural mtDNA changes due to mtDNA lack of histones and introns. In the RPE cells of AMD in vitro models, multiple studies have shown that the mtDNA lacks appropriate repair systems and is more prone to damage, leading to a reduction of metabolic activity and increased apoptosis (Figure 1).[8-10]

Glaucoma

The optic nerve is very susceptible to mitochondrial damage considering the high metabolic needs of retinal ganglion cells (RGCs). Increased intraocular pressure induces chronic hypoperfusion and mechanical stress that impairs mitochondrial function and structure in RGCs (Figure 1).[2]

OXIDIZED FLAVOPROTEINS AS A MEASURE OF RETINAL MITOCHONDRIAL DYSFUNCTION


The growing interest in understanding the mitochondrial role in human pathology established the need for measuring its activity or inactivity. There is a very broad spectrum of techniques that have been proposed, all of which are dependent on the precise definition authors give to the vague term “dysfunction.” In the pertinent literature, dysfunction is primarily defined as uncoupling of the respiratory chain that leads to a rise in oxidative stress and subsequently to apoptosis.[1] Oxidative stress impairs mitochondrial equilibrium as increased ROS production and damage overshadows antioxidant defenses. Under these conditions, flavoproteins involved in the electron transport chain become oxidized.[11] Mitochondrial dysfunction can be estimated assessing the presence of oxidized flavoproteins, which absorbs blue light and emits green autofluorescence.[12] This measurement is called FPF and estimates oxidative stress by measuring average intensity (FPF score) and standard deviation (SD) of the autofluorescence emitted. In vitro studies have previously combined NAD(P)H fluorescence with FPF, but this cannot be replicated in humans because excitation wavelengths for NAD(P)H have phototoxic effects on retinal cells.[13]

Ex vivo

Several studies recognize FPF as a reliable index of mitochondrial health in non-ocular tissues including skeletal muscle, heart muscle, and brain.[14,15] In particular, FPF has been measured in animal models to evaluate the redox state of the heart during ischemia-reperfusion, skeletal muscle in aging, and neuronal activity.[16-18]

Elner et al. were the first to apply this technique in retinal research.[12] They induced sub-lethal stress by adding hydrogen peroxide or ceramide to human RPE cells in culture and detected an increase in FPF. This increase was prevented with antioxidants treatment beforehand, indicating that oxidation of retinal mitochondria increased FPF. Field et al. recently confirmed these results and also demonstrated that FPF levels increase with a mitochondrial membrane potential reduction and a pro-inflammatory cytokines upregulation, both of which precede apoptosis.[13] These findings provide a biological rationale for the presumption that mitochondrial FPF can serve as a biomarker that precedes retinal cell apoptosis and retinal structural changes. In vitro and ex vivo results indicate the potential of an instrument capable of in vivo non-invasive retinal measurements.

In vivo

Elner et al. were the first to customize a fundus camera to non-invasively measure retinal FPF in humans.[19] The first-generation prototype was a Zeiss F4 (Carl Zeiss, Oberkochen, Germany) fundus camera with modified wavelengths filters (467 nm excitation and 535 nm emission), an attached back-illuminated, electron-multiplying, and charge-coupled device camera interfacing a dedicated image capturing and analysis software. The initial captured field was 3 (Table 1).

Table 1: Synoptic table of device versions
Device generation Camera Year Focus Number of published papers LSLO Field of view
Firstgeneration Zeiss F4 modified 2008 Manual 4 No
Secondgeneration Custom optimized optical train and electronic components 2012 Manual 3 Yes 13°
Thirdgeneration EIDON 2018 Manual+automatic 0 Yes 23°

The second-generation of the camera was a completely custom-built device with a wider field of view (13°) for FPF imaging and also the capability of obtaining a 30° infrared fundus image before the FPF picture was taken.

The third and current generation is an EIDON confocal scanner (Centervue, Padova, Italy) equipped with excitation filters of 458 ± 2 nm. This device detects a fluorescence spectrum that goes from 520 to 540 nm. This instrument has built-in imaging, measurement, and analysis capabilities and can autofocus independently for imaging. To date (October 2018), there are no peer-reviewed publications with this new model (OcuSciences Inc, technical specification document).

METABOLIC ANALYSIS OF RETINAL DISEASES


Eight peer-reviewed papers have been published regarding FPF as a biomarker in retinal diseases (Table 2).

Table 2: Summary table of published peer-reviewed studies with FPF device
Title Authors Date Population (eyes) Captured field Results
Retinal flavoprotein autofluorescence as a measure of retinal health Elner et al. 2008 28 DM
2 AMD
2 CSR bilateral
2 RP
18 Controls
FPF score is increased with both age and disease severity. DM cases without retinopathy have higher scores than controls but lower than DM cases with retinopathy. AMD, CSR, and RP cases have higher score compared to agematched control.
HRPE cells incubated with H2O2 or C2ceramide have increased FPF. When preincubated with antioxidants the increase is blocked.
Retinal FPF correlates with mitochondrial stress, apoptosis, and chemokine expression Field et al. 2011 Incubation of HRPE cells with H2O2 or monocytes increases FPF score and decreases mitochondrial membrane potential; these changes precede apoptosis. Incubation of human or rat neural retina with H2O2 increases FPF, when the antioxidant is added effect is reversed.
Flavoprotein autofluorescence detection of early ocular dysfunction Elner et al. 2008 12 PTC
12 controls
Patients with PTC have a higher FPF score and SD in the more affected eye while there is no difference between eyes in controls.
Rapid, noninvasive detection of diabetesinduced retinal metabolic stress Field et al. 2008 42 DM
42 Controls
FPF score and SD are higher in DM patients compared to agematched controls. FPF and curve width increase with age in all the considered population.
Detection of retinal metabolic stress resulting from CSR Field et al. 2009 6 CSR
6 Controls
CSR eye has a higher FPF score than the unaffected eye. Both eyes have higher FPF score compared to the control group.
Noninvasive Imaging of Mitochondrial Dysfunction in Dry Agerelated Macular Degeneration Field et al. 2012 3 AMD
3 AMD with GA
3 Controls
15° FPF score and SD are greater in the AMD group compared to the agematched control group.
Noninvasive detection of mitochondrial dysfunction in OHT and primary openangle glaucoma Geyman et al. 2018 38 POAG
16 OHT
32 Controls
13° FPF score and FPF score/RGC+thickness are increased in the OHT group compared with the control group. Only FPF score/RGC+thickness is increased in the POAG group compared to the control group.
Doublemasked, placebocontrolled trial of the efficacy of a novel neuroprotective combination for reversing mitochondrial dysfunction in glaucoma Ritch et al. 2018 28 Glaucoma 13° Optic disc FPF score and SD decreases in glaucoma patients treated with an antioxidant drug (GlaucoHealth™) compared to patients treated with placebo.
FPF correlation with visual acuity response in patients receiving an antiVEGF injection for diabetic macular edema Andrade Romo et al. 2018 8 DM with CSDME 13° FPF score correlates with BCVA changes after antiVEGF treatment. While the correlation between OCT and BCVA was not significant.

FPF: Flavoprotein fluorescence, VEGF: Vascular endothelial growth factor, SD: Standard deviation, DM: Diabetes mellitus, BCVA: Best corrected visual acuity, OCT: Optical coherence tomography, OHT: Ocular hypertension, GA: Geographic atrophy, POAG: Primary open angle glaucoma, AMD: Agerelated macular degeneration, RGC: Retinal ganglion cell, CSR: Central serous retinopathy

First-generation device studies

The first-generation camera was initially used to evaluate patients with pseudotumor cerebri (PTC).[19] This study was conducted on six patients with PTC (12 eyes) and six age-matched controls (12 eyes). The results showed that the more diseased eye had a higher FPF score and SD than the other eye of the diseased patient by a margin of at least 25%. This was not true in control age-matched patients, who had similar results in both eyes.

Two papers examined FPF in DM patients with the purpose of elucidating a possible relationship between FPF and DM. Elner et al. recruited a cohort of 21 age-matched patients (42 eyes total: 14 DM with DR, 14 DM without retinopathy, and 14 controls).[12] Their results showed a correlation between FPF score and severity of disease, with the DM with retinopathy group displaying the highest (P = 0.04). Field et al. imaged 42 patients (84 eyes total: 24 DM with DR, 18 DM without DR, and 42 age-matched controls) and confirmed that DM without DR patients had a higher FPF score and SD than controls (P ≤ 0.04).[20] DR patients had the highest FPF score and SD (P = 0.02). Study investigators also examined the role of hemoglobin A1c (HBA1c), but there seemed to be no relationship between HBA1c and FPF score. These findings need to be validated since glycemic control is well known to correlate with DR progression.[21] Both studies on DM patients demonstrated a progressive increase in FPF score with age in patient groups and controls, which explains the necessity of age breakdown when analyzing results.

In the same study, Elner et al. also measured patients with other diseases. One case of AMD, one case of retinitis pigmentosa, and one case of central serous retinopathy (CSR) were compared with age-matched controls (12 eyes total). The diseased eyes were measured to have higher FPF score and SD. In these papers, FPF is the equivalent of their usage of “flavoprotein autofluorescence.”

Another study was conducted to evaluate FPF in acute CSR.[22] Investigators recruited three patients with acute unilateral CSR (6 eyes) and three age-matched controls (6 eyes). Results showed all three affected eyes had higher FPF score compared with three unaffected eyes of diseased patients (P < 0.001, < 0.05, and < 0.001, respectively), which, in turn, were higher than two age-matched controls (P < 0.001, < 0.05) the third one was greater but not significant (P < 0.15).

Second-generation device studies

In 2012, Field et al. investigated the role of mitochondrial dysfunction in AMD using FPF.[23] They imaged six eyes from five patients with non-exudative AMD of which three had geographic atrophy (GA), and three eyes from 3 age-matched controls. The study indicated that FPF score was significantly distinguishable between AMD eyes with GA, AMD eyes without GA, and age-matched controls. The AMD eyes with GA had the highest FPF while the eyes AMD without GA eyes had higher FPF score than age-matched controls (P = 0.02).

In 2018, Geyman et al. studied FPF score changes in primary open angle glaucoma (POAG) and ocular hypertension (OHT).[24] This study involved 20 patients (38 eyes) with POAG, eight patients (16 eyes) OHT, and 18 (32 eyes) age-matched controls. FPF score was also compared against optical coherence tomography (OCT) derived RGC layer thickness. A FPF score/RGC+ thickness ratio considers the progressive thinning that occurs with disease progression. The study reported a higher FPF score and FPF score/RGC+ thickness ratio in OHT when compared to controls (P < 0.05 and P < 0.01). Only FPF score/RGC+ thickness ratio was greater in POAG patients than in controls (P < 0.001). Consequently, the study suggests a correlation in the POAG group between FPF score and age but did not find any correlation between FPF score and IOP or RGC+ thickness.

In 2018, Ritch et al.[25] assessed the changes in FPF score with a combination of antioxidant agents (GlaucoHealth™). 14 treated glaucoma patients (28 eyes) were randomized into two groups: One receiving placebo and the other GlaucoHealth™. After 1 month of treatment optic nerve, FPF score and SD were significantly decreased (P = 0.003 and P = 0.01). In contrast, there was no significant difference in visual fields and OCT (P > 5%).

Finally, Andrade Romo et al. measured FPF before and after anti-vascular endothelial growth factor injection (bevacizumab) for diabetic macular edema.[26] In this study, of eight patients (eight eyes) with DR and clinically significant macular edema, results suggested an association between FPF score and best corrected visual acuity (BCVA) (P < 0.000015). On the other hand, a possible OCT and BCVA relationship was not significant (P < 0.13). These studies demonstrate the potential for utilizing FPF and mitochondrial dysfunction as a novel approach to monitoring treatment progression, but FPF scores impact across multiple disease and treatment paradigms needs to be better established, and possible clinical utility must be more clearly defined.

DISCUSSION


Recent advances in a technology widely contributed to improve retinal imaging. However, the current standard of care devices focuses on the identification of structural changes rather than functional (metabolic) changes, despite the fact that functional changes often occur earlier in disease processes. The ability to analyze metabolic changes may allow for earlier anticipation of disease progression or even earlier diagnosis of previously unidentified disease as DR.[27] Field et al. introduced the possibility that FPF can be a better index for progression of retinopathy than HBA1c.[20] FPF analysis, first results have high potential in an area where an innovative diagnosis method is needed as demonstrated by the fact that none of the numerous functional techniques proposed for DR screening (e.g., electroretinography, microperimetry, color vision, and contrast sensitivity) have demonstrated a solid predictive value. In the same study, authors have shown a correlation between FPF and the presence of DR, but no analysis has been made to evaluate a relationship between DR severity and FPF score. Thus, FPF differences within DR severity needs to be further examined. This needs to be examined more thoroughly in not only DR but also additional retinal diseases with various stages of disease severity such as AMD. With long-term follow-up and larger sample sizes, future studies can explore FPF as a prognostic index and provide additional insight on manifestations at each disease stage that cannot be elucidated with current imaging technology.

Furthermore, preliminary results achieved in AMD, glaucoma, and CSR have shown that retinal functional alterations are present in many diseases, which pathophysiological pathways also indicate. Moreover, Ritch et al. demonstrated that optic disc FPF score decreases in glaucoma with antioxidant drug usage. Future studies can assess the efficacy of various treatments such as antioxidant drugs in different retinal diseases. In this scenario, mitochondrial retinal imaging represents a promising technology that transposes basic science knowledge to the clinical setting. This technology offers the possibility to perform a rapid, affordable, and non-invasive retinal functional study potentially applicable to all retinal diseases.

However, there are some divergences that merit further examination. According to the previous studies, FPF increases with aging and AMD.[12,23] In contrast, Feher et al. have demonstrated that the number of mitochondria decreases with aging and it is even lower in patients with AMD.[28] Based on Feher’s findings, it seems counterintuitive that FPF scores increase with greater mitochondrial cell death when considering Feher’s findings. However, one hypothesis is that the higher scores in more advanced stages of disease such as advance non-exudative and exudative AMD are actively indicating ongoing increases in mitochondrial dysfunction that will soon be followed by cell death. Henceforth, cell death and lower PFF scores may not be seen until a patient has experienced permanent vision loss. Additional studies are needed to clarify the correlation between a number of mitochondria and FPF. The points at which mitochondrial dysfunction level accelerates and later declines as cell death occurs for each retinal disease are subjected to uncertainty and exploration.

Moreover, a number of drawbacks are present. Two versions of the device have been used in these studies, and the field of view and FPF analysis software was different. Device model changes and the change in the field of view likely lead to differences in FPF score standardization. As a result, not all papers in the literature can be compared and examined together. Rigorous standardization of a single device that can measure FPF scores across all ophthalmic diseases is required to improve reliability and allow use in clinical settings. Present studies do not provide useful information to examine inter-individual variability. For example, FPF might be influenced by retinal mitochondrial density, lens status, lipofuscin concentration, and other factors. To define abnormal results, further studies to determine normality are needed, and any effect these factors have on FPF must be ascertained.

Finally, only eight investigations have been published, and all these studies rely on very limited sample size. Consequently, larger populations are needed to confirm the current findings.

CONCLUSION


FPF is a sensitive, albeit non-specific technology. This makes it suitable for a wide range of diseases, especially for screening and follow-up purposes. Future studies will eventually refine and solidify the present literature.

Conflicts of interest

RR: None TC: None, GH: None, RPS: Regeneron (grants and personal fees), Genentech/Roche (grants and personal fees), Alcon/Novartis (grants and personal fees), Apellis (grants), Optos (personal fees), Zeiss (personal fees), Biogen (personal fees), during the conduct of the study.

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How to cite this article:

Raffaele Raimondi, Grant L. Hom, Thais F. Conti, Rishi P. Singh. Mitochondrial Retinal Imaging - What Do We Know So Far. Am J Ophthalmic Clin Trails 2019 2(2) 1-7


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