Abstract
Background:
Aging and regeneration are heavily linked processes. While it is generally accepted that regenerative capacity declines with age, some vertebrates, such as newts, can bypass the deleterious effects of aging and successfully regenerate a lens throughout their lifetime.
Results:
Here, we used Optical Coherence Tomography (OCT) to monitor the lens regeneration process of larvae, juvenile, and adult newts. While all three life stages were able to regenerate a lens through transdifferentiation of the dorsal iris pigment epithelial cells (iPECs), an age-related change in the kinetics of the regeneration process was observed. Consistent with these findings, iPECs from older animals exhibited a delay in cell cycle re-entry. Furthermore, it was observed that clearance of the extracellular matrix (ECM) was delayed in older organisms.
Conclusions:
Collectively, our results suggest that although lens regeneration capacity does not decline throughout the lifespan of newts, the intrinsic and extrinsic cellular changes associated with aging alter the kinetics of this process. By understanding how these changes affect lens regeneration in newts, we can gain important insights for restoring the age-related regeneration decline observed in most vertebrates.
Keywords: Lens regeneration, iPECs, aging, SD-OCT, cell cycle, ECM remodeling
1. Introduction
Aging can cause a myriad of intrinsic and extrinsic cellular changes, including but not limited to, mitochondrial dysfunction, telomere attrition, epigenetic modifications, proteostasis impairment, as well as ECM and cell adhesion alterations (López-Otín et al., 2013; Sharpless and DePinho, 2007; Xiao et al., 2015, Gorgoulis et al., 2019, Schumacher, 2009; Warraich et al., 2020; Yousefzadeh et al., 2021). Consequently, these cellular changes lead to physiological imbalance, immune system dysfunction, tissue and organ degeneration, disease vulnerability, and decline in regeneration capacity (Ring et al., 2022).
Humans cannot yet escape these age-related consequences (Gardiner, 2005; Xiao et al., 2015). However, regenerative competent species, like newts, show negligible signs of aging and retain tremendous regenerative abilities even at an older age (Arenas Gómez and Echeverri, 2021; Brockes and Kumar, 2008; Joven et al., 2019; Sánchez Alvarado and Tsonis, 2006; Sousounis et al., 2014b). In fact, to test the extent to which newts can regenerate, a series of truly astonishing studies were conducted, where newt lenses were surgically removed up to 19 times over the period of 18 years from the same animals. By the time the final lenses were removed, the animals were 32 years old, and yet still regenerated complete lenses (Eguchi et al., 2011; Sousounis et al., 2015). When compared at the transcriptomic level, no significant differences were observed between the lenses collected from the animals that have undergone lens regeneration multiple times and the lenses from animals that had never undergone regeneration (Sousounis et al., 2015). Interestingly, when tails from the same animals that had never undergone regeneration were compared with tails collected from younger animals, thousands of genes associated with aging were found to be differentially regulated. Most noticeable, electron transport chainassociated genes were found to be downregulated in older tails, an indicative sign of mitochondrial dysfunction and metabolic alterations.
It is worth noting here that axolotls and frogs are also capable of regenerating their lens but lose this ability soon after embryonic development and metamorphosis respectively (Henry and Tsonis, 2010; Suetsugu-Maki et al., 2012; Vergara et al., 2018). When the iris of young axolotls, which serves as the source for lens regeneration, was compared at the molecular level with the iris of older regeneration incompetent axolotls, signs of aging were evident. Similar to newt aging tails, genes associated with electron transport chain, cell cycle, and DNA repair were significantly downregulated in the iris of old axolotls compared to young regeneration-competent animals (Sousounis et al., 2014a).
Based on the aforementioned studies, it is tempting to speculate that the initiation of regeneration triggers the rejuvenation of tissues and the surrounding microenvironment. However, the mechanism by which regenerative-competent animals avoid aging hallmarks to proceed with regeneration remains unclear. Understanding how aging affects cells at the cellular and extracellular levels in regeneration-competent animals is vital in our quest towards developing treatments for regenerative medicine and age-related pathologies. This is the first study to delineate the differences in cellular mechanisms (clearance of extracellular matrix) and kinetics on lens regeneration across three developmental stages of Pleurodeles waltl: pre-metamorphic larvae, post-metamorphic juvenile, and adult. Using live imaging (OCT), cell proliferation assays (EdU labeling) and ECM staining, we investigated the early stages of lens regeneration in which iPECs reprogram to switch cell fate and become lens cells. We also analyzed the later stages where the lens vesicle develops into a mature lens using 3D OCT imaging/processing and a statistical model to predict lens volume.
2. Materials and methods
2.1. Animal Handling and Ethical Statement
All experiments described in this study were executed under the guidelines provided by the Institutional Animal Care and Use Committee (IACUC) at Miami University. Pleurodeles waltl newts were housed in a homemade aquatic circulating system and daily care was performed following previously established husbandry guidelines (Joven et al., 2015). Environmental conditions such as temperature, feeding frequency, light cycle, water parameters and cleaning procedures were kept the same for all three age groups (Supplementary Table 1).
2.2. Surgical Procedures
Surgical removal of lens (lentectomy) and eye enucleation surgeries were performed as described before (Tsissios et al., 2022). Briefly, using a scalpel, a cut was made through the cornea and the lens was carefully removed with fine tweezers. For enucleations, the entire eyeball was removed by cutting the muscles and membranes around the sclera. The three age groups of Pleurodeles waltl consisted of: 2-month-old pre-metamorphic larvae, 6-month-old post-metamorphic juveniles, and 3-year-old post-metamorphic adults.
2.3. Spectral-Domain Optical Coherence Tomography
A customized Spectral-Domain Optical Coherence Tomography (SD-OCT) was used to follow the lens regeneration process from the same animals. For a detailed description of the SD-OCT setup, refer to Chen et al. (2021). In brief, a broadband light source centered at 850 nm was used in the SD-OCT setup, which can provide ~5 μm axial resolution and 7.5 μm lateral resolution respectively. A total of 2048 A-Scans were captured in each B-Scan, and 500 orthogonal positions across the lens were scanned to reconstruct a 3D image. Prior to imaging, newts were anesthetized and placed on a customized stage to avoid involuntary motion.
2.4. Live Imaging and Three-Dimensional Reconstructions
A total of 6 animals (12 eyes) were followed by OCT for 356 days. At first, images were taken every other day from day 0 until 28 days post-lentectomy (dpl) in order to capture all the dynamic changes that occur during the early stages of lens regeneration. Afterward, OCT imaging was performed every 5 days up until 88 dpl, and then every 50 days up until 365 dpl. B-scan images were cropped and rescaled to the accurate ratio according to the scanning distance of each individual eye. Then, the C-Scan stacks were reconstructed using B-Scans, and the lens tissue was segmented separately to synthesize the color label depicted in Fig. 2.
2.5. EdU Injections, Histology, and Cytochemistry
Newt eyes were collected at 1, 4,10, and 15 dpl for histological examination. At 24 hours prior to collection, EdU (Invitrogen, #C10338) was added intraperitoneal at 10 ug/g of body weight. Following eye enucleation, the entire eyeball was fixed in 10% formalin overnight at 4 °C and paraffin embedding was performed as described previously (Tsissios et al., 2022). Histological sections of 10 μm thickness were obtained and EdU and picrosirius red staining (Polysciences, #24901) were performed according to the manufacturer’s protocol.
2.6. EdU Quantification and Statistical Analysis
The cell cycle re-entry experiment included the effects of two factors on the ratio of EdU+ to Hoechst stained cells: age (larvae, juvenile, adult) and time (1, 4, 10, and 15 dpl). For each of the twelve combinations of the two factors, six eyes were processed, leading to a total of 72 experimental units. We assumed that each of the eyes were independent. Though there could be a concern regarding the use of two eyes from the same organism, Yamada and Roesel (1969) have shown that iPECs of the contralateral uninjured eye do not re-enter the cycle as part of a systemic response. We also show that we have adequate power to detect scientifically relevant effects, even with as few as three replications per treatment (Supplementary File 2). Cells from nine cross-sections for each eye were counted, and the total number of EdU+/ Hoechst cells in both the dorsal and ventral iris were used in the statistical analysis. (For one of the larvae 4 dpl units, the data from a single cross-section was unusable; in this case, we simply proceeded with the remaining eight cross-sections.) Though it is standard in these types of studies to perform an ANOVA-type analysis (Inoue, 2012; Johnson, 2018; Como, 2023), because our measurements are counts, a more appropriate statistical analysis is based on the negative binomial distribution (Lindén and Mäntyniemi, 2011; Ver Hoef and Boveng, 2007; White and Bennetts, 1996). We provide more detailed reasons for our statistical modeling choice in Supplementary File 2, Section 3. Thus, a negative binomial regression, with two factors (day and time), as well as the interaction between the two factors, was used to model the number of EdU+ cells. Additionally, the number of Hoechst+ cells was included as the offset, which allows us to model the ratio of EdU+ to Hoechst+ cells. Using the interaction model with offset, the adult ratio was compared to the larvae and juvenile ratios, at each of the four time points, leading to a total of eight comparisons. The eight p-values were adjusted by controlling the False Discovery Rate (Benjamini and Hochberg, 1995). Supplementary File 2 provides more detailed discussion of the model and tests we performed, while also justifying the size of our study by a power analysis.
2.7. Lens Volume Quantification and Statistical Analysis
The volume of the lens was measured with SD-OCT as described before (Chen et al., 2021). The same SD-OCT images that were obtained from section 2.4 were used to calculate the volume. Each eye is assumed to be independent of every other eye, with two animals and thus four eyes in each age category (larvae, juvenile, and adult). We recognize that the assumption of independence of both eyes from an organism may not hold; we refer interested readers to a more detailed discussion in Supplementary File 1, where we give evidence that this is not a great concern to our conclusions. Each eye was imaged every other day from 0 to 28 dpl, as well as on day 33 and day 48, for a total of 14 measurements. One of the larvae animals died at 26 dpl, therefore lens volume after that time point was not included in the analysis. For each image, the volume of the lens was estimated, along with the diameter of the eye using the sectioning feature of ImageJ software. There are several aspects of this data that make it challenging to analyze. First, the trajectories are not easily modeled with standard polynomials (see Fig. 3A). Second, the measurements over time on a particular eye cannot be assumed independent; they are likely correlated. Third, the variation in the data was smaller early in the regeneration process. To address the first problem, Generalized Additive Models were used, to provide great flexibility to model nonstandard mean structures (Yee and Mitchell, 1991; Wood, 2006). For the second issue, a Generalized Additive Mixed Model (GAMM) was fitted via the gamm function in the mgcv R package in order to account for the correlation between measurements on a particular eye across time (Wood, 2006; 2022). In particular, a continuous autoregressive error structure (corCAR1) was used which estimates the level of correlation between successive measurements and assumes that the correlation declines as the measurements get further away in time (Pinheiro and Bates, 2000). For the third concern, we modeled the natural log of the volume which stabilized the variance. The GAMM that we fit included smooth estimates of the mean log(Volume) for each level of age while accounting for the diameter variable in the model as well. More discussion of the intuition behind GAMMs, along with additional details regarding the fitting and results, are provided in Supplementary File 1.
3. Results
3.1. Real-time monitoring of lens regeneration in adult, juvenile, and larvae newts
We utilized SD-OCT to follow the process of newt lens regeneration in the three different age groups. We first imaged the intact eyes. Due to the unique light scattering properties of different ocular tissues we were able to visualize several anterior structures such as cornea, iris epithelium, stroma, lens epithelia and lens fibers (Fig. 1 D–F). Before lens removal, apart from the obvious size variations, no morphological or gross-anatomical differences were observed in the eyes between the three age groups with SD-OCT imaging (Fig. 1 D–F).
Lentectomy causes the loss of the aqueous humor and disruption between the anterior and posterior eye chambers. As a result, the anterior chamber is filled with ECM. Interestingly at 2 dpl, ECM filled the anterior chamber of the juvenile and adult animals compared to the larvae (Fig. 1 G–I). At this time point, the cornea appeared thicker in all three age groups compared to the corresponding cornea of the intact eye, indicating that proliferation to close the wound has started. By 4 dpl, the cornea appeared healed in larvae but not in juvenile and adult animals (Supplementary Fig. 1 A–C). At 6 dpl, the ECM in the anterior chamber of the larvae animals mostly cleared out and a transparent chamber was established (Supplementary Fig. 1 D). On day 8, iPECs, located at the tip of the dorsal iris of larvae animals, have depigmented and switched cell fate to become lens cells. These cells then formed an immature, asymmetrical lens vesicle (Fig. 1 J). By 12 dpl, the cornea of the juvenile has healed, and a clear anterior chamber mostly devoid of ECM was observed (Supplementary Fig. 1 K). Later, at 14 dpl, a lens vesicle was visible in the juvenile newt eye (Fig. 1 N). As lens morphogenesis proceeds in larvae animals, elongated lens cells fill the lumen of the lens. These cells are called primary lens fibers and are arranged in a concentric fashion in the middle of the lens, whereas the cuboidal lens epithelial cells are arranged in a monolayer at the periphery of the lens (Fig. 1 M). In adults, ECM did not completely clear until 22 dpl, and a lens vesicle appeared soon after at 24 dpl (Supplementary Fig. 1 X, Fig. 1 R).
During further growth, lens epithelial cells at the equatorial region of the lens differentiate and give rise to secondary lens fibers that surround the previously formed primary fibers. These newly formed lens fibers have different organelle compositions compared to primary lens fibers that have lost all organelles. The difference in organelle composition results in different scattering properties and therefore can be distinguished by SD-OCT (Fig. 1 T; Supplementary Fig. 1 Y, Aj) (Gupta et al., 2020). Eventually, the regenerating lens buds off from the dorsal iris to regain its original position. This is an essential step for regaining functional vision and a signal to mark the end of the regeneration process. In larval animals, the lens appeared detached from the dorsal iris at 58 dpl, and 78 dpl in juvenile animals (Fig. 1 S; Supplementary Fig. 1 Ai,). Surprisingly, even at 365 dpl, the adult lens was still attached to the dorsal iris (Fig. 1 X).
3.2. Three-dimensional view of lens morphogenesis
Three-dimensional SD-OCT images compiled from cross-sectional B-scans were used to acquire a multi-angle, panoramic view of the entire anterior eye. The first appearance of a lens vesicle (shown in red) was evident at 8 dpl from the mid-dorsal margin of the iris epithelium of larval animals, whereas a lens vesicle was noticeable at 14 dpl and 24 dpl in juveniles and adults respectively (Fig. 2A, E, I). As the iris to lentoid transition takes place, the newly formed lens vesicle appears in an irregular, asymmetric and hollow shape. By 14 dpl in the larvae and 24 dpl in the juvenile, lens epithelial cells at the equatorial region of the regenerating lens elongate and differentiate into lens fibers, resulting in a larger and more symmetric lens (Fig. 2 D, H, Suppl. movie 1). As the regenerating lens continues to develop, newly formed secondary lens fibers symmetrically enclose the primary lens fibers, and the lens appears larger and more spherical at 24 dpl in the larvae. (Fig. 2G, Suppl. movie 1).
3.3. Growth rates of the regenerating lens
SD-OCT was used to quantify lens volume, and mean growth rates of the regenerating lenses were estimated using a Generalized Additive Mixed Model. The experiment makes it clear that the time by which the lens begins to grow is associated with age (Fig. 3A). Once the growth begins, however, the trajectories of juvenile and adult were very similar. On the other hand, there is evidence that the larvae trajectory for lens growth is different from both the juvenile and adult (Fig. 3B; p < 0.001) when comparing the larvae to the other two smoothed curves. For example, when measuring from the time point when growth was detected, the larvae started off smaller but quickly accelerated past juveniles and adults in terms of size. Because of the relatively small study and the approximate nature of the GAMM inference, we recognize these conclusions as tentative.
3.4. iPECs cell cycle kinetics
Prior to lentectomy, iPECs are terminally differentiated and rest in G0 (Supplementary Fig. S2). EdU+ cells were observed in the iris epithelium and stroma of larval animals as early as 1 dpl (Fig. 4A, B). At 4 dpl, cell cycle entry was evident in juvenile newts but at a much higher rate in larval animals. Once the lens formed, in larvae, iPECs that did not transdifferentiate to become lens cells withdrew from the cell cycle, and eventually returned to near baseline levels at 15 dpl (Fig. 4A, B). The cells that transdifferentiated into lens and formed lens vesicles continued to proliferate but were not included in the iPECs quantification depicted in Fig 4B. A significant delay in the iPECs cell cycle entry was observed in the adult eye, and no signs of fully depigmented iPECs were noticeable during the first 15 days.
3.5. Collagen synthesis and remodeling during lens regeneration
Collagen staining was performed to confirm SD-OCT observations about ECM remodeling during regeneration. At 1 dpl, juvenile and adult eyes showed picrosirius red staining in the anterior and posterior chambers, indicating a homogenous presence of dense collagen fibers and sheets in the entire eye (Fig. 5). However, this was not the case in larval newts, as non- homogeneous collagen staining was observed throughout the eye cavity. In the anterior chamber, collagen appeared compacted, whereas collagen presence was less dense in the rest of the eye (Fig. 5). Collagen remodeling took place in the larvae eyes at 4 dpl, and by 10 dpl, most collagen was cleared out from the anterior chamber. Juvenile newts depicted clearing of most of the collagen at 15 dpl in the anterior chamber, whereas in adult animals, the aqueous chamber still contained collagen even at 15 dpl when signs of collagen remodeling were observed.
4. Discussion
In this study, we demonstrate that although the capacity for lens regeneration in Pleurodeles waltl is not lost with aging, the dynamics of this process is altered. Using in vivo imaging, we were able to follow the process of lens regeneration uninterrupted for 365 days from the same individuals and reported the morphological and cellular changes that occurred during the various stages of this process. We found that at the early stages of transdifferentiation, phenomena such as cornea healing, ECM remodeling, iPECs cell cycle re-entry, and lens vesicle appearance occurred faster in the pre-metamorphotic larvae compared to post-metamorphotic juvenile and adult animals. On the other hand, no clear differences were observed in the lens differentiation rate and morphogenesis during the late stages of lens regeneration.
Although the cellular events that govern lens regeneration have been previously described in newt species, such as Notophthalmus viridescens and Cynops pyrrhogaster, to our knowledge this is the first detailed report that characterized stages of lens regeneration in Pleurodeles waltl (Eguchi, 1963, 1964; Reyer, 1954; Vergara et al., 2018; Yamada, 1977). Tadao Sato categorized the process of lens regeneration into 13 distinct stages (Sato, 1930; 1935; 1940). We have matched Sato stages to our P. waltl lens regeneration stages (Fig.1, Supplementary Fig 1 and Fig. 6). In the early stages, iPECs undergo transdifferentiation to reprogram and become lens cells (Sato stages I-III). We also observed a drastic difference in the timing of lens vesicle appearance among the three age groups. A lens vesicle was detected as early as 8 dpl in larvae, 14 dpl in juvenile, and 24 dpl in adult animals. After a lens vesicle is formed, the mechanisms and events of lens growth and morphogenesis parallel those of eye development in vertebrates (Tsonis et al., 2004). At first, epithelial cells at the internal wall of the lens vesicle become elongated to form the primary lens fibers (Sato Stage V-VII). Sequentially, the epithelial cells at the equatorial region of the lens stop proliferating, begin to change shape, and then lose their organelles as they differentiate into lens fibers (Chaffee et al., 2014). These secondary lens fibers then migrate towards the center of the lens, where they will surround the previously formed primary fibers (Sato Stages VIII-XI). No obvious differences were observed regarding the events and rate of lens development and morphogenesis.
To further compare the rates of lens growth between larvae, juvenile and adult animals, three-dimensional SD-OCT images were utilized to quantify the volume of the regenerating lenses. The rate of lens growth between different developmental stages has been described before in several newt species (Reyer, 1954; Inoue et al., 2012). However, these studies acquired lens growth measurements from histological sections, which required sacrificing the animals at each time point. This method is not ideal and fails to account for the variability between individual newts. SD-OCT is a non-invasive method which allows us to continuously quantify the lens growth from the same animal and without any tissue artifacts that are often introduced via histological processing (Chen et al., 2021). Consistent with our morphological observations, after the lens vesicle was formed, we observed similar rates of growth between juvenile and adult lenses, whereas the size of the larval lens was initially smaller but grew more rapidly until about 10 dpl.
During the late stages of lens regeneration, once the lens is mature and covers the entire pupil area (from dorsal to ventral iris), it detaches from the dorsal iris and relocates to its initial position in the middle of the eye where it is held by the zonule fibers (Tsonis et al., 2004). Interestingly, even though the rate of lens growth was not different, we observed a delay in lens detachment from the dorsal iris in older animals. In fact, even at 365 dpl, the lenses of adult newts were still attached to the dorsal iris. As our data displays a similar growth rate between age groups, we concluded that the reason the adult animal failed to reach the size of an intact lens by 365 dpl was not in fact due to differences in the speed of lens growth, but due to the fact that the size of the lens in adults are much bigger than the lens of younger animals. Therefore, it will take the aged newts a longer time to obtain the necessary size. The smaller the original lens, the faster the regenerating tissue will reach its original size.
The re-entrance of iPECs into the cell cycle is the most prominent and critical step during the early stages of lens regeneration. Under normal conditions, iPECs are terminally differentiated cells that show no signs of cell division (Eguchi and Shingai, 1971; Reyer, 1971; Yamada and Roesel, 1969; Zalik and Yamada, 1967, Yamada and McDevitt, 1974). Lentectomy reverts the differentiation status of these mature cells and triggers cell cycle re-entry. Cell cycle kinetics during lens regeneration have been well documented both in vivo and in vitro in a variety of newt species (Horstman and Zalik, 1974; Yamada et al., 1975; Zalik and Yamada, 1967). From these studies, it was concluded that iPECs from adult newts transition from G0 to G1 between 3–5 dpl and start to withdraw from the cell cycle once the lens vesicle is formed. Here we observed that cell cycle re-entry was faster and at a higher magnitude in larval animals. Surprisingly, we detected EdU + cells from the epithelium and stroma of the larval iris as early as 1 dpl. At 4 dpl, almost the entire dorsal and ventral iris was EdU positive. By 10 dpl, once the lens vesicle was formed, the EdU:Hoechst ratio was decreased as the iPECs withdrew from the cell cycle and regained their original identity. In contrast, very few EdU+ IPECs were observed in adult eyes at 10 and 15 dpl. Furthermore, no signs of depigmentation were observed until 15 dpl. One possible explanation for the age-related cell cycle re-entrance delay that we observed is that the differentiation status of iPECs is more advanced in adult animals, causing the dedifferentiation process to take longer. Future work should explore the molecular signatures of iPECs from young and old animals during lens regeneration, in order to provide age-related differences in differentiation trajectories and cell fate decisions. It is also interesting to note here, that when the process of lens regeneration was investigated in outer space, an environment known to cause anti-aging effects in humans, cell cycle re-entry was faster and at a higher magnitude when compared to newts that were kept on Earth (Grigoryan et al., 2002; Grigoyan and Radugina, 2019; Otsuka et al., 2021). Further exploring the association between microgravity, aging, and cell cycle acceleration could provide important insights into the aging effects of iPECs seen in this study.
The composition and remodeling of ECM is a fundamental aspect of wound healing and critical determinant of the regeneration outcome (Erickson and Echeverri, 2018). Failure to remodel ECM during the early steps of wound healing leads to scar formation, whereas the dynamic degradation of ECM proteins is often associated with regeneration success (Arenas Gómez et al., 2020; Huang et al., 2021; Satoh et al., 2011; Seifert et al., 2012; Vinarsky et al., 2005). Despite the importance of ECM remodeling, very little is known about this process during lens regeneration. Through histological examination and electron microscopy studies, it has been shown that ECM accumulates into the anterior aqueous chamber immediately after lens removal (Tsonis et al., 2004; Yamada, 1977). Prior to lentectomy, the anterior chamber of the eye is filled with a transparent material that allows light to pass through and supports the function of lens epithelial cells. Following lentectomy, the transparent aqueous humor is lost, and the eye cavity fills with ECM. In this study, we used SD-OCT and picrosirius red staining to investigate the dynamic remodeling of ECM during regeneration and characterized age-related variations of this process. OCT imaging was previously validated as a powerful tool to detect real-time changes in ECM composition in several mammalian tissues (Carpaij et al., 2020; Yang et al., 2011). To the best of our knowledge, this is the first attempt to monitor ECM during lens regeneration in vivo. We observed across all three life stages that the lens vesicle did not develop until the ECM was cleared from the aqueous chamber. These results highlight the importance of ECM removal for successful regeneration. A possible explanation for the effects of ECM on regeneration is that it interferes with the trafficking of growth factors produced by the retina. It was previously shown that growth factors such as FGFs are produced and secreted from the retina, and that FGFs are necessary for lens regeneration in the newt eye (Caruelle et al., 1989; Del Rio- Tsonis et al., 1997; Del Rio-Tsonis et al., 1998; Hayashi et al., 2004). Therefore, we hypothesize that the presence of dense matrix proteins in the eye cavity can negatively impact the trafficking of growth factors secreted from the retina and used by the iPECs.
Collectively, we have shown that age delays the process of transdifferentiation during lens regeneration in Pleurodeles waltl. Unraveling the molecular mechanisms by which regeneration-competent animals circumvent the deleterious effects of aging and retain tremendous regenerative powers will make major inroads in the development of therapies to treat geriatric diseases.
Supplementary Material
Acknowledgments
The authors would like to thank Drs. Max Yun and Andras Simon from the Center for Regenerative Therapies in Dresden, Germany, and Karolinska Institute in Stockholm, Sweden for gifting us Pleurodeles waltl animals to start our colony at Miami University. Special thanks to Dr. Alberto Joven for his guidance in husbandry and breeding techniques. In addition, the authors thank Laboratory Animal Resources (LAR) director Jazzminn Hembree and the entire LAR team for their help to establish and maintain our colony. Moreover, further thanks to Matt Duley from the Center of Advanced Microscopy and Imaging (CAMI) at Miami University and Erika Grajales- Esquivel for their help and guidance on imaging procedures.
This research was supported by grants from the National Eye Institute: RO1 EY027801 (to KDRT) and R21 EY031865 (to HW and KDRT), by the John W. Steube Professorship Endowment (to KDRT), the Sigma Xi Aid in Research Grant (to GTR) and Miami University undergraduate research grants.
Footnotes
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