INTERACTIONS BETWEEN ENDOTHELIA OF THE TRABECULAR MESHWORK AND OF SCHLEMM’S
CANAL: A NEW INSIGHT INTO THE REGULATION OF AQUEOUS OUTFLOW IN THE EYE
BY Jorge A. Alvarado MD,* Ru-Fang Yeh PhD, Linda Franse-Carman BS, George Marcellino PhD, AND Michael J. Brownstein MD
Purpose: To test the hypothesis that trabecular meshwork endothelial cells (TMEs) regulate aqueous outflow by actively releasing
ligands that upon binding to Schlemm’s canal endothelial cells (SCEs) increase transendothelial flow, thereby facilitating the egress of
Methods: We tested our hypothesis by (1) activating the TMEs in vitro using a laser procedure known to increase aqueous outflow in
vivo; (2) demonstrating that lasered TMEs become activated at the genome-wide level and synthesize ligands; (3) ascertaining that
media conditioned by laser-activated TMEs and ligands therein increase transendothelial flow when added to SCEs; and (4)
determining that ligands identified as synthesized by TMEs increase permeability when added to SCEs.
Results: We find that adding either media conditioned by lasered TMEs or ligands synthesized by TMEs to naïve control SCEs
increases permeability. Adding media boiled, diluted, or conditioned by nonlasered TMEs abrogates these permeability effects.
Media conditioned by either lasered TMEs or SCEs (TME-cm/SCE-cm), when added to untreated controls of each cell type, induce
congruous gene expression and flow effects: TME-cm induces far more differentially expressed genes (829 in control TMEs and
1,120 in control SCEs) than does the SCE-cm (12 in control TMEs and 328 in control SCEs), and TME-cm also increases flow much
more (more than 11-fold in control TMEs and more than fourfold in control SCEs) than does the SCE-cm (fivefold in control TMEs
and twofold in control SCEs).
Conclusions: As postulated, the TMEs release factors that regulate SCE permeability. Derangement of this TME-driven process may
play an important role in the pathogenesis of glaucoma. Ligands identified, which regulate permeability, have potential use for
Trans Am Ophthalmol Soc 2005;103:148-163
The conventional aqueous outflow pathway functions to facilitate the egress of aqueous from the anterior chamber of the eye into the
lumen of Schlemm’s canal and to prevent the reflux of blood from the venous circulation into the aqueous-filled intraocular fluid
compartment.1 The pathway is endowed with certain anatomic and cellular features that are particularly well suited to carry out these
two tasks. One of these is the presence of two cellular barriers separating the venous circulation from the aqueous humor, instead of
the single barrier that usually divides adjacent fluid compartments from each other elsewhere in the body. The two barriers are
positioned in series so that as aqueous exits from the eye, it first encounters the trabecular meshwork endothelial cells (TMEs) that line
aqueous channels, and then subsequently encounters the endothelial cells that line the lumen of Schlemm’s canal (SCEs). The salient
cellular feature is the presence of “giant vacuoles” in SCEs, unique organelles that form a transcellular fluid pathway.2 The SCEs
facilitate aqueous outflow by forming giant vacuoles only when the intraocular pressure (IOP) exceeds the episcleral venous plexus
pressure. Similarly, the SCEs prevent the reflux of blood by eliminating this transcellular pathway when the episcleral venous
pressure exceeds the IOP level, as occurs during intraocular surgery.2 In sharp contrast to the SCEs, which are generally believed to
be the site of major resistance to aqueous outflow,1,3 the manner in which TMEs participate in the regulation of the egress of aqueous
remains poorly understood. We surmise that the TMEs also have mechanisms geared to facilitate outflow and prevent the reflux of
blood, much in the manner of SCEs, but that such activities are subtle, involving a combination of processes at the molecular and
cellular levels, which have yet to be identified.
Specifically, we propose that the TMEs have a relationship with the SCEs, which can be characterized by the release of ligands
from TMEs into the aqueous humor. The ligands flow downstream from TMEs to bind and actively regulate the permeability
properties of the SCEs. When the process mediating the interaction of TMEs and SCEs is switched on, the ligands are actively
released and facilitate aqueous outflow by increasing the permeability of the SCE barrier. When the process is switched off, ligands
are no longer released, forestalling the reflux of blood into the eye in some measure. Effective methods to uncover our proposed
TME-to-SCE interactions can be attributed to developments from recent studies of several TME-to-TME relationships.4 These studies
report that cytokines released by TMEs induce a wide array of effects, depending on the location of the TMEs targeted by these
agents. That is, three cytokines (interleukin-1α and 1β and tumor necrosis factor-α [IL-1α, IL-1β and TNF-α]) released by TMEs
From the Departments of Ophthalmology (Dr Alvarado, Ms Franse-Carman) and Epidemiology and Biostatistics (Dr Yeh), University of California San Francisco
(UCSF); OptiMedica Corporation, Santa Clara, California (Dr Marcellino); and J. Craig Venter Institute, Rockville, Maryland (Dr Brownstein). Supported by a
major grant from the Thomas J. Long Foundation; the Peninsula Community Foundation; That Man May See, Inc; the Department of Ophthalmology at UCSF;
Research to Prevent Blindness, Inc; Coherent Inc; Lumenis Inc; the Joan Leidy Foundation; and contributions from many generous patients of Dr Alvarado.
Bold type indicates AOS AOS member.
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located in the inner trabecular meshwork surface induce cell division and migration upon binding to TMEs located near Schwalbe’s
line, whereas upon binding to TMEs near the juxtacanalicular tissues, they induce the release of matrix metalloproteinases and an
increase of fluid flow across extracellular matrix tissues.4-9
A critical step of this approach is the activation of the endothelial cells by the application of light energy using an argon laser
instrument, which is known to increase aqueous outflow clinically. In the case of the argon laser, the same three cytokines are
released when whole trabecular meshwork tissues are lasered in organ culture conditions.10 The argon laser has the disadvantage of
drilling holes through the endothelial cells, inducing collateral thermal effects around the laser impact site, which effectively disrupt
the physical integrity of endothelial monolayers after irradiation. Such a disruption makes the study of laser-induced permeability
effects cumbersome. Here we introduce the use of a recently developed frequency-doubled, Q-switched, Nd:YAG laser (F-D
Nd:YAG) that makes these permeability studies possible because, unlike the argon laser, the F-D Nd:YAG instrument preserves the
integrity and baseline permeability properties of the endothelial monolayer immediately after irradiation. Subsequently, with a latency
of several hours, there is a gradual increase in flow detectable around 12 hours, eventually peaking approximately 2 days after
In testing our hypothesis in vitro, we began by applying low-fluence light energy using the F-D Nd:YAG laser to human cultured
TMEs, which are then maintained in culture for a specified period of time, and allowing these cells to release putative factors into the
cell-culture medium. This conditioned medium is subsequently added to untreated naïve monolayers of SCEs to determine the
capacity of TMEs to modulate the permeability of SCEs. Whether the lasered TMEs become activated is determined by monitoring
gene inductions at the genome-wide level (Affymetrix gene chips), verifying these inductions using mRNAs (quantitative polymerase
chain reaction [Q-PCR]), and ascertaining that corresponding cytokines are synthesized (enzyme-linked immunosorbent assay
[ELISA]). Those cytokines exhibiting a dose-response relationship in terms of mRNA/cytokine-expression and permeability effects
are considered as candidate ligands to be added individually to monolayers of SCEs to ascertain their direct involvement in the
permeability effects of SCEs. Other experiments compare treatment responses by each endothelial cell type to the lasering procedure,
to the addition of media conditioned by lasered TMEs, and by lasered SCEs. Results from these in vitro studies strongly support the
concept that TMEs modulate the permeability of SCEs as advanced in our hypothesis. The “Discussion” section considers the
relevance of these findings in terms of (1) the TMEs playing a prominent role in the regulation of aqueous outflow in vivo, (2) the
mechanism of action of laser trabeculoplasty and miotics during the treatment of glaucoma patients, (3) the pathogenesis of glaucoma,
and (4) potential treatment modalities using uncovered cytokines and other agents.
This study received Institutional Review Board approval (approval number: H111-00511-22) from the University of California, San
Francisco, Committee on Human Research. Informed consent was obtained from patients and tissue donors according to standard
Primary cultures were established by dissecting healthy human eyes to obtain explants from the trabecular meshwork containing
TMEs, or from Schlemm’s canal to obtain SCEs. The dissection was carried out using sterile technique; the operating microscope and
methods that have been previously described in detail.2,11-17 We have demonstrated that in vitro the cultured TMEs and SCEs exhibit
distinct phenotypes and possess many of the attributes displayed in vivo by the tissues of origin.2 The primary cultures were
extensively expanded and stored as frozen stocks at the fourth passage. The stocks were defrosted and cells of each type seeded
separately in 10-cm culture dishes using standard media conditions (Dulbecco’s modified Eagle’s medium supplemented with 15%
fetal calf serum, 2 μM L-glutamine, and 50 µg/mL of gentamicin). One week later, the nearly confluent fifth passage cells were
dissociated (0.05% trypsin, 0.02% EDTA, 0.58 gm/L NaHCO3) and transferred again (ie, sixth passage) at a concentration of 5.0 × 104
cells/cm2 into 6.0- or 1.0-cm methylcellulose Millipore filter supports having 0.45-μm pores (Millipore PIHA01250, Bedford,
Massachusetts). The culture specimens were kept in a humidified 8% CO2 incubator and fed every 48 hours until they had reached
confluence (about 10 to 14 days for both cell types), when the serum concentration was reduced to 10% prior to feeding melanin
particles in preparation for the lasering procedure.
In preparation for the laser treatment, some TMEs and SCEs were fed melanin, whereas others were used as controls and remained
without exposure to melanin granules. The melanin particles can act as chromophores, which are targeted by the F-D Nd:YAG
laser.18-21 The presence of melanin particles was helpful in that it allowed us to apply relatively low energy levels (ie, 0.2 to 0.8
mJ/pulse) to carry out dose-response experiments, as well as to minimize the variability in the responses elicited. Melanin previously
proven well tolerated by cultured cells (Sigma, St Louis, Missouri) was used to feed the TMEs and SCEs, with 3 million melanin
particles per milliliter for 18 hours. The media were decanted, and the particles, which had not been ingested by the cells and thus
remained free in the media, were counted by using the hemocytometer to ascertain that similar pigment loads had been taken up by
each cell type. Afterwards, the cultured cells were given fresh media and returned to the standard feeding conditions for 1 week to
establish that baseline permeability properties had been restored before proceeding with the laser treatment.
The F-D Nd:YAG laser used to irradiate the cultured cells emits light with a λ of 532 nm, a beam measuring 400 μm in diameter,
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and a pulse duration of ~3 ns. The laser was set to deliver ~0.8 mJ/pulse for a fluence of 600 mJ/cm2, which was shown to preserve
the physical integrity of the monolayer as well as the baseline permeability properties immediately after the lasering procedure.
Afterwards, there was a change in permeability that occurred with a latency of several hours, progressing steadily to reach a peak ~48
hours after lasering. The TMEs/SCEs grown over 6-cm porous filter supports received 400-laser shots per preparation, and those
measuring 1 cm in diameter received 25 pulses per preparation while maintained under sterile conditions. Controls consisted of
preparations remaining without any laser treatment.
CONDITIONED MEDIA PREPARATION
In preliminary experiments, we determined that a period of 12 hours was sufficient for the lasered cells to reach peak conditions
regarding the release of three cytokines tested (IL-1α, IL-1β and TNF-α). Therefore, the preparations remained in contact with the
media for 12 hours after lasering to allow the media conditioning process to take place. At this time, other containers of similar size,
which remained undisturbed for 12 hours, had their media decanted and replaced with media conditioned by the lasered cells of the
same or the other type. The media were then allowed to remain in contact with the cell for 36 hours, and at the end of this period the
hydraulic conductivity was measured in perfusion experiments in μL/min/mm Hg/cm2. Other assays determined the gene expression
profile (Affymetrix gene chips), levels of specific mRNAs (quantitative PCR), and protein synthesis and peptides released (ELISA).
Controls consisted of untreated cells given media from other preparations, which had not been lasered but had received melanin, or
given media that had been boiled or diluted ten times by the addition of fresh media.
The conductivity of monolayers grown over porous Millipore filter supports was determined by perfusing these cells from the apical
toward the basal cell surface at a constant pressure of 4.5 mm Hg while measuring the rate of transendothelial fluid flow in
µL/min/mm Hg/cm2.2,15,22 The preparations are placed on a computer-driven apparatus and perfused with culture media at a
transendothelial pressure of 4.5 mm Hg until stable measurements are recorded for at least 5 minutes. We measured the conductivity
of filter supports containing the sixth passage cells remaining as either untreated controls, cells treated by exposure to conditioned
media, or by the application of a standard number of laser pulses. Monolayer of SCEs were perfused with various cytokines to
determine conductivity effects. The concentrations used were 10 ng/mL for IL-1α and IL-1β, 15 ng/mL for TNF-α and 5 ng/mL for
TOTAL RNA EXTRACTION
The various control and experimental preparations underwent total RNA extraction with Trizol reagent following the manufacturer’s
instructions (Invitrogen, Carlsbad, California). The preparations were washed once with PBS at room temperature, and then the cells
were broken down by using 600 mL of Trizol and stirring with a rubber policeman. The lysate was withdrawn and passed through a
25-gauge syringe to break up chromosomal DNA. Adding 100 μL of chloroform to each sample and centrifuging at 12,000 rpm for
10 minutes accomplished phase separation of the tRNA. The resultant aqueous phase was transferred into a fresh container to which
600 μL of isopropyl alcohol was added prior to centrifugation for 10 minutes at 4°C to precipitate the tRNA. The tRNA precipitate
was washed twice with 75% ethanol, dried briefly, and dissolved in nuclease-free water. The concentration of extracted total RNA
was measured by spectrophotometric absorbance at 260 nm, and deemed acceptable when absorbance ratio at 260/280 nm was equal
to or greater than 1.8.
GENE CHIP ASSAYS
Samples of sscDNA were prepared by using the NuGEN Technologies Ovation RNA amplification and Biotin Labeling system
(Version 1.0) according to the manufacturer’s instructions from the indicated amount of starting RNA (5 to 100 ng) as previously
reported.23 All reactions were performed in 0.2-mL strip PCR tubes in an MJ GeneWorks PTC-100 thermocycler using recommended
programs. Because the seal for PCR tubes and caps tends to deteriorate with repeated use, we replaced the caps for each tube before
each resealing step in the protocol. Following amplification, sscDNA product was purified using QIAquick PCR purification kits
(Qiagen, Valencia, California). Samples were fragmented and end-labeled with biotin. After stopping, each reaction was
concentrated in a Microcon YM-3 column to a final volume of ~20 L. The concentrated material was purified using a Centri-Sep 100-
spin column (Princeton Separations, Adelhia, New Jersey).
For DNA microarrays, all samples were placed in standard Affymetrix hybridization buffer. The sample denaturation time for the
sscDNA samples was reduced from 5 to 2 minutes and hybridization time increased from 16 to 20 hours as recommended by NuGEN
Technologies. Arrays were stained with phycoerythrin-streptavidin according to manufacturer’s recommendations.
The concentrations of specific mRNAs were measured by using a 5′ fluorogenic nuclease assay in real-time quantitative PCR on the
ABI PRISM 7900 (Applied Biosystems, Foster City, California). The total RNA was extracted as described above from cultured
human TMEs and SCEs, and the quality of the RNA was ascertained by using a Bioanalyzer (Agilent, Palo Alto, California). Total
RNA was incubated with DNase (DNA-free, Ambion, Austin, Texas) to remove contaminating host and viral DNA. The DNase was
inactivated and removed according to the manufacturer’s specifications. “No reverse transcriptase” controls were performed on all
samples to confirm that genomic DNA was not present. RNA was reverse transcribed into cDNA with iScript (BioRad, Hercules,
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California), 300 ng in a 20-μL volume according to manufacturer’s specifications. Quantitative detection of specific nucleotide
sequences was based on the fluorogenic 5′ nuclease assay, as summarized by Ginzinger.24 Primers and probes for the assays were
obtained from Applied Biosystems “assays on demand” Taqman expression kits. Relative expression in comparison to two control
genes, Cyclophillin and Gus, was calculated by using described methods.25 These two control genes were chosen because they were
shown to be the least variable under these experimental conditions (data not shown).
Selected cytokines and chemokines released into the media were measured using ELISA. Aliquots were obtained for these assays
from the 6-cm filters representing the various controls, preparations treated with exposure to media conditioned by each cell type
separately, and preparations receiving a standard number of low-fluence laser pulses. The cells were disrupted by using a lyses buffer
containing 1.0% NP-40, 150 mM NaCl, and 50 mM of tris at pH 8.0. A complement cocktail of protease inhibitors was added
containing PMSF 1.0 mM, 1 μmol/L each of pepstatin and leupeptin, and 0.3 μmol/L of aprotinin. The preparations were placed on
an agitator at room temperature for 1 hour, scraped into Epindorf tubes, and sonicated for 30 seconds. The supernatant was separated
from the cellular debris by centrifugation at 2,000 rpm for 20 minutes, collected, and transferred to cryovials with one portion of the
sample stored in liquid nitrogen for later analysis and the other assayed immediately.
The assay began by adding samples to the micro plate wells containing the specific antibody adherent and immobilized to its
surface. After the cytokines became bound to their specific antibodies, unbound substances were removed by vigorous buffer
washing, followed by the addition of enzyme-linked polyclonal antibody to each well. A substrate solution was then added to each
well and the intensity of the resultant color reaction was measured by using a micro plate spectrophotometer reader set to the proper
wavelength. Optical density values from duplicate-control standards and quadruplicate experimental samples were averaged
separately. The obtained average zero-standard optical density value was subtracted from that of the standard and experimental
sample readings. A standard curve was constructed by plotting the mean absorbance for each standard on the y-axis, and the values of
the samples were plotted on the x-axis. A best-fit line was plotted using regression analysis, and the optical density measurements
were converted to picograms per milliliter values.
STATISTICAL ANALYSIS FOR ARRAY DATA
The raw image data were analyzed by using GeneChip Expression Analysis Software (Affymetrix, or Affy) to extract perfect match
and mismatch values, to which we applied the Robust Multiarray Average (RMA) algorithm26,27 implemented in the
Bioconductor/Affy package28 under the free statistical computing environment R (http://www.r-project.org) to background-correct,
quantile-normalize, and summarize values of 11 probe pairs for each gene (probe set) on each chip. This results in a 54,675 × 32
matrix of logarithm-based 2 of gene expression measures, where columns correspond to different gene chips and rows correspond to
the different genes (probe sets). For a typical gene (probe set), we have four replicate expression measures (from four chips) for each
of the eight conditions: TME control (TC), TME treated by laser (TL), TME treated by TME-conditioned media (TT), TME treated by
SCE-conditioned media (TS), SCE control (SC), SCE treated by laser (SL), SCE treated by TME-conditioned media (ST), and SCE
treated by SCE-conditioned media (SS).
IDENTIFICATION OF DIFFERENTIALLY EXPRESSED GENES
The ratio-intensity plot provides a graphic method to identify and visualize differentially expressed (DE) genes. For example, to
compare samples TL and TC, we computed the average differences (“-fold” change in log-based 2), MTL vs TC, between the two cell
types M = M_TL- M_TC. Genes with corresponding extreme MTL vs TC values represent potential marker genes activated by laser
treatment in TMEs. The overall expression level for a particular gene is conveniently measured by the quantity A, the average of log
intensities across all the chips in the experiment. Similar calculations were made for each of the treatment conditions against their
baseline controls (TL vs TC; TT vs TC; TS vs TC; SL vs SC; ST vs SC; SS vs SC). The M provides a ranking of genes corresponding
to the strength of evidence of differential expression. In addition, we also computed the moderated t statistics and accompanying P
values29 to assess the statistical significance of the “-fold” changes for each gene. We then generated a candidate list of the number of
DE genes with a 10% false discovery rate and greater than twofold change between groups. The functions used in these procedures
are in the limma library of the R/Bioconductor software package.
DIFFERENTIALLY EXPRESSED GENES BY FUNCTIONS
To investigate further the difference between TME and SCE cell markers, we compared the functional composition of probe sets
differentially expressed by the three treatment categories compared with controls for each cell type (i.e., eight categories). We
mapped each probe set to a predefined functional group according to the Gene Ontology (GO) annotation database
(http://www.geneontology.org) and compared the number of genes belonging to each functional group. In addition, we searched for
overrepresented and underrepresented (FDR-adjusted P value <.05) GO categories in the various experimental and control conditions
using Gostat, which calculates a Fisher’s exact test P value for each GO category.
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ACTIVATION OF TMES AND SCES
We assess the cell activation process in TMEs and SCEs by determining the number of DE genes at the genome-wide level in treated
compared with untreated control preparations. Figures 1 and 2 are log-based 2 ratio-intensity MA plots, where the quantity A
represents the average of log intensities across all the chips in the experiment, and M provides a ranking of genes corresponding to the
strength of evidence of differential expression (see “Methods” section). In Figures 1 and 2, red and green dots represent, respectively,
up- and down-regulated genes exhibiting a twofold or greater increased expression. Below each graph, the total number of
corresponding DE genes is indicated, which in panel A of Figure 1 amounts to 1,570 DE genes by lasered TMEs.
Gene expression in trabecular meshwork endothelial cells (TMEs). Log-based 2 ratio-intensity scatterplot
comparing the profile of genes expressed by TMEs treated by the application of short-pulse green light
delivered by a frequency-doubled Nd:YAG laser instrument (A) and by the addition of media conditioned
by the lasered TMEs when added to naïve TMEs (B) or to naïve SCEs (C). Each dot represents the mean
intensity log-ratio (base 2) versus the average log-intensity of a single gene based on four replicas (ie, one
chip for each of four samples), with each replicate containing 11 probes per gene, using approximately
47,000 transcripts from 38,500 well-characterized genes. Red and green dots indicate up- and down-
regulated genes demonstrating a twofold or greater differentially expressed (DE) ratio; the total number of
DE genes for each category is indicated below each graph.
This robust laser-treatment response represents the greatest induction of DE genes observed, a finding that strongly supports the
notion that TMEs are activated by treatment with the F-D Nd:YAG laser. Panel B depicts the profile of DE genes in naïve untreated
control TMEs exposed to media conditioned by the laser-activated TMEs (i.e., TME-cm) showing that 829 genes are differentially
expressed, which is the third most intense gene response measured. Panel C shows the response of naïve SCEs exposed to medium
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conditioned by the laser-activated TMEs. The media activation process is very intense, resulting in the induction of 1,120 DE genes in
SCEs, representing the second most intense response observed. Thus, the three preparations involving lasered TMEs, or naïve TMEs
and SCEs exposed to the TME-cm, yield the three top responses in terms of DE genes. Further, treatment by addition of conditioned
media was nearly as effective as the laser treatment itself.
Figure 2 is a similar log-based 2 ratio-intensity scatter plot as in Figure 1 showing the responses in lasered SCEs (A), or
preparations containing naïve SCEs exposed to medium conditioned by the lasered SCEs (B) and naïve TMEs (C).
Gene expression in Schlemm’s canal endothelial cells (SCEs). Log-based 2 ratio-intensity scatterplot
showing profiles of differentially expressed DE-genes in SCEs after the lasering procedure (A) and by
the addition of SCE-cm to naïve SCEs (B) or to naïve trabecular meshwork endothelial cells (TMEs)
The lasering procedure, which induces the most DE genes when applied to TMEs (1,570), is markedly less effective in the case of
lasered SCEs, inducing only 40 DE genes. Despite the fact that the lasering procedure activates only 40 genes in SCEs, medium
conditioned by these laser-activated SCEs is actually quite effective as it induces an eightfold increase in the number of DE genes
when added to control SCEs (ie, 328/40) (B). The addition of the medium conditioned by the laser-activated SCEs to naïve TMEs
yields the least effective response with the induction of only 12 DE genes (C). Media exposure effects appear to vary markedly,
depending on the type of cell conditioning the medium and the type of cell receiving the medium treatment. In the case of TMEs
(Figures 1 and 2), medium conditioned by the lasered trabecular cells (which are maximally activated) is quite effective in activating
both naïve TMEs and SCEs. However, in the case of SCEs (Figure 2), medium conditioned by the lasered Schlemm’s canal
endothelial cells (which are minimally activated) is most ineffective in activating TMEs but quite effective in activating SCEs.
Therefore, it seems that media effects are not only cell-specific but also proceed in both directions, yielding either intense or
minimally effective responses, depending on the cell type treated and the conditioned medium applied.
Table 1 shows a list of DE genes with a 10% false discovery rate and greater than twofold change between functional groups as
indicated. The responses obtained when applying different cutoff criteria are shown in Table 1. The values used in Figures 1 and 2
correspond with those measured when a twofold cutoff is applied. Use of a fourfold cutoff or a P value of .01, separately or together,
results in a smaller number of DE genes detected. It can be seen that for the TME category, lasered TMEs consistently exhibit a
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TABLE 1. DIFFERENTIALLY EXPRESSED (DE) GENES IN VARIOUS TREATMENT
DE GENES TOTAL UP DOWN TOTAL
TL/TC 1,570 641 929
TcmT/TC 829 220 609
TcmS/TC 12 6 6
SL/SC 40 27 13
ScmT/SC 1,120 855 265
ScmS/SC 328 275 53
*Number of DE genes is shown according to the treatment category, the “-fold” change, and the P value
cutoff. The first three rows under “DE Genes” pertain to trabecular meshwork endothelial cells (TMEs)
and the last three rows represent Schlemm’s canal endothelial cells (SCEs). Note that the count of DE
genes declines as more stringent criteria are applied. In general, the trends are maintained regardless of the
cutoff criteria used. Note that the total number of genes considered for each condition is approximately
DOWN TOTAL UP
greater number of DE genes than TME-cm/TMEs, which in turn show a greater number of DE genes than SCE-cm/TMEs. The SCE
category is similarly consistent regardless of cutoff criteria used, with TME-cm/SCE having a greater number of DE genes, followed
by SCE-cm/SCE, and then lasered SCEs.
In panel A of Figure 3, we show the conductivities measured in TMEs treated by lasering, or by exposure to media-conditioned
lasered cells of each type compared with untreated controls (red bars). Alongside we show the responses in SCEs (green bars) in
control and similarly treated preparations. In panel B of Figure 3, we show the treatment responses when corrected for baseline
differences and expressed as a “-fold” change. The conductivity responses vary as a function of the treatment applied as well as the
cell type treated (Figure 3B).
In general, comparing the six responses plotted demonstrates that the TME responses (red bars) are higher than those in SCEs
(green bars). This disparity in conductivity responses seems to be well correlated with the gene expression data in Figures 1 and 2
showing that the lasering effects are markedly disproportionate, with the TMEs undergoing a much greater response to the laser
treatment compared with the SCE (1,570 versus 40 DE genes). The TME-cm is also much more effective in inducing the differential
expression of genes when added to TMEs as well as SCEs, compared with the effects of medium conditioned by laser-activated SCEs
upon TMEs or their own cell type. Regarding media effects, the TME-cm induces an increase in conductivity that is maximal for both
TMEs (second red bar) and SCEs (second green bar). These differences are mirrored as well in the gene expression data, because the
TME-cm is also potent in inducing DE genes when applied to naïve TMEs and SCEs (ie, 829 and 1,120 respectively).
The relationships between the gene expression and conductivity are incongruous in some instances. For example, the conductivity
responses of the laser procedure in both TMEs and SCEs are exactly the same, amounting to a threefold increase in conductivity in
each case (Figure 3B). However, the gene expression data are most disparate involving the induction of 1,570 DE genes for TMEs but
only 40 for the SCEs. Similarly, the SCE-cm, which induces only 12 DE genes when added to TMEs, induces the second highest
change in conductivity (Figure 3B). These discrepancies suggest that only a small proportion of DE genes are actually involved in
mediating the measured conductivity effects.
Analyzing the conductivity effects of the laser procedure in Figure 3B, it is apparent that some effects are related to “systematic”
differences in the preparations compared. That is, for the TMEs, the laser treatment induces a much smaller increase in conductivity
(ie, threefold change) than exposure to the TME-cm, which induces almost a fourfold greater conductivity increase that amounts to an
11-fold increase. A similar, albeit less pronounced, relationship is apparent for the SCEs (compare first and second green bars).
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Conductivity responses measured in µL/min/mm Hg/cm2. Bars represent the mean and the standard
deviation in panel A for monolayers of trabecular meshwork endothelial cells (TMEs) and Schlemm’s
canal endothelial cells (SCEs) in both controls and treated preparations as indicated. In panel B the
treatment responses are depicted, adjusting for differences in baseline as a “-fold” change. Note that in
all cases, the responses are robust, amounting to increases of over 11-fold in the case of the TME-cm, the
highest response, and 200% in the case of naïve SCEs treated with SCE-cm, the smallest response.
We suspect that such disparate responses mirror the fact that each of these two preparations has a different cell composition. The
lasered preparations include two cell types: (1) cells impacted by the laser beam and (2) cells that remain untouched by the laser
treatment. Assuming that only the nonlasered cells are capable of responding fully, then the lasered preparations have a smaller
proportion of cells capable of mounting a full response to factors released in the media, whereas preparations treated with media
exposure have 100% responsive cells. Thus, media-treated preparations would be expected to yield responses having a conductivity
of greater magnitude than laser-treated preparations.
Several controls, as shown in Figure 4, were used to ascertain that the conditioned media effects were mediated by factors released
into the media by the laser-activated TMEs. The first control in Figure 4 requires adding media from naïve untreated TMEs to other
naïve TMEs. The second control requires diluting the media conditioned by laser-activated TMEs fivefold by the addition of plain
cell culture media. In the third control, any factors present in the media conditioned by laser-activated TMEs are denatured and
inactivated by boiling these media for 5 minutes. Results demonstrate that diluting and boiling effectively inactivate the media
because these two conditions yield similar responses as adding media from naïve TMEs (compare first with second and third bars). In
contrast, media from laser-activated TMEs (red bar) induce a twofold increase in conductivity.
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Conductivity responses in preparations exposed to inactivated media compared with intact medium.
Conductivity responses measured in µL/min/mm Hg/cm2 showing the mean and standard deviation in
controls (blue bars) and in trabecular meshwork endothelial cells (TMEs) treated by the addition of media
conditioned by laser-activated TMEs (red bar). Adding media from naïve TMEs, or from laser-activated
TMEs that had been inactivated by dilution or boiling, effectively abrogated the increase in conductivity as
observed when media conditioned by lasered TMEs was added (red bar).
CORRELATION OF GENE EXPRESSION PROFILES, SPECIFIC MRNA LEVELS, AND CYTOKINE SECRETION
Figure 5 displays the cDNA transcript and peptide responses for the chemokine IL-8 in the same eight conditions represented in the
conductivity experiments in Figure 3A. Table 2 gives the nominal P values for two-sample t tests among the eight conditions tested.
In Figure 5, panel A, the cDNA expression responses are shown in terms of the signal intensity detected for IL-8 in TMEs (red bars)
and SCEs (green bars). The TMEs responses shown in this panel are more intense than those elicited in SCEs, regardless of
experimental condition. For the TMEs, only the lasered preparation exhibits a significantly different response from its control (P =
.0026, see Table 2, Affy cell); for the SCEs, the preparation treated with the TME-cm differs most significantly from its control (P =
<.0001). Noting the occurrence of these two significant findings motivated us to proceed and determine more accurately mRNA
expression using q-PCR, which is shown in panel B. Again the TMEs yield greater responses across the board compared with SCEs.
Within the TMEs (red bars) and as shown in Table 2, whereas the three-treatment preparations are different from controls, the
significance levels are borderline except for the SCE-cm category (P = .0048). In the case of the SCEs (green bars), the TME-cm and
SCE-cm treated preparations have a significant increase in mRNA expression from its control (P = .0153 and .0026, respectively).
It should be noted that the relative height of the bars for the three experimental conditions (ie, excluding control responses) for the
TMEs appears to be the same in panels A and B, and similarly for the SCEs. That is, for the TMEs, the lasered TMEs in both panels
have the highest columns, the SCE-cm preparations are the next highest, followed by the TME-cm. In the case of the SCEs, the TME-
cm is the highest column, with the height of the remaining indistinguishable from each other in both panels A and B. In fact, the Q-
PCR assays both support and extend the gene expression results. Specifically, there appears to be a more pronounced activation for
the TMEs than SCEs, as well as distinct treatment responses. In panel C, we plot the responses for the preparations in terms of the
synthesis of the protein IL-8 measured using ELISA. These data yield responses that show clear differences among most categories
compared. In particular, we note that TME preparations treated with either the laser procedure or the addition of TME-cm display
marked increases in IL-8 levels relative to controls. However, the response of TMEs exposed to the SCE-cm is virtually identical and
not different from controls statistically. For the SCEs, the three treatments yield increases in IL-8 synthesis relative to controls, which
are highly significant (see Table 2).
These ELISA findings in panel C are compared in panel D with the corresponding conductivity results, as depicted in Figure 3A.
The conductivity responses are highly significant in all the preparations compared with controls (P < .0001). Inspection of panels C
and D shows that in seven of eight conditions (or five of six treatment conditions), similar responses are measured by both assays.
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Alvarado, Yeh, Franse-Carman et al.
Correlation of cDNA, mRNA, and cytokine expression with conductivity. Intensity plot depicting the
responses measured (mean and standard deviation) in the eight experimental and control preparations. mRNA
level using Affymetrix gene chips (A), quantitative polymerase chain reaction (PCR) measured using
quantitative PCR (Q-PCR) (B), at the protein level measured using enzyme-linked immunosorbent assay
(ELISA) (C). These responses are correlated with those measured in conductivity assays (D). The mRNA
responses are measured as the mean intensity log-ratio (base 2). The ELISA measurements are expressed in
picograms/mL, and the conductivity studies units in µL/min/mm Hg/cm2.
However, there are notable differences that we attribute to the fact that in the experiments for panel C, we are simply measuring
levels for a given cytokine, whereas in panel D, we are actually measuring the responses to many such factors. These responses are
likely influenced by the profile and affinity of receptors expressed by each cell type and other interactions. In general, Figure 4 shows
that at the mRNA and protein levels, the responses observed in the TMEs are greater than those in the SCEs. Again, these findings
mirror those observed for the gene induction and conductivity studies previously described (Figures 1, 2, and 3). The synthesis of IL-
8 by TMEs (and SCEs) is consistent with IL-8 mediating, along with other factors, the conductivity effects detected in our
CYTOKINE SYNTHESIS BY LASER-ACTIVATED TMES
The assays shown in Figure 5 demonstrate that the TMEs are activated at the gene level to express the appropriate transcripts for a
given cytokine, signals that lead to the synthesis of the corresponding mRNAs and, ultimately, to the synthesis and release of the
chemokine IL-8. Importantly, these responses occur in a congruous manner to the induction of conductivity increases in multiple
conditions tested. We decided to seek further evidence by using ELISA in support of the synthesis of the cytokines IL-1α, IL-1β, and
TNF-α. As mentioned in the “Introduction,” these three cytokines are released by TMEs after the application of light energy using an
argon laser. However, it is unknown whether the F-D Nd:YAG is similar to the argon laser in terms of the induction of these
Figure 6 is a plot comparing the synthesis and release of IL-1α and IL-1β by TMEs receiving a standard number of laser shots at a
setting of 1 mJ/pulse delivered using the F-D Nd:YAG laser. Whereas the responses measured are statistically significant (P < .01),
the quantity of IL-1α released ~30%) in picograms/mL is small compared with the greater than twofold change measured for IL-1β.
Figure 7 is a graph of the dose-response relationship between the application of the standard number of laser shots using the F-D
Nd:YAG laser at increasing energy levels, from 0.1 to 1.0 mJ. There is a progressive increase in the quantity of TNF-α released as a
function of the laser energy applied. Thus, we conclude that the F-D Nd:YAG laser induces the same three cytokines, which are
released by these cells when treated with the argon laser.
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Endothelia in the Regulation of Aqueous Outflow in the Eye
TABLE 2. COMPARISON OF P VALUES FOR EACH EXPERIMENTAL CONDITION
AND ITS CONTROL*
METHOD† LASERED TME-CM SCE-CM
Affy .0026 NS
qPCR .0318 NS .0048
ELISA .0033 .0092
NS = not significant.
*Entries are the P values obtained for the comparisons between each experimental condition and its
respective control. The P values are obtained from two sample t tests.
†Methods used to measure the expression IL-8: Affymetrix chips (Affy), quantitative PCR
measurements for mRNA (qPCR), and ELISA for the IL-8 protein.
‡P values for the three treatments applied to TMEs: “lasered” TMEs, those treated with “TME-cm,”
and those exposed to “SCE-cm.”
§P values of the same three conditions for SCEs compared with control SCEs.
Induction of two cytokines by laser-activated trabecular meshwork endothelial cells (TMEs). Plot of the
responses elicited by delivering 25 shots of 1 mJ in energy per sample in treated (n = 8) and control (n = 6) TME
preparations expressed in picograms/mL. Mean and standard deviation plotted.
Laser energy versus tumor necrosis factor-α (TNF-α) release in trabecular meshwork endothelial cells: a dose-
response effect. A dose-response effect is shown for the release of TNF-α as a function of the application of a
standard number of laser shots of increasing energy as indicated. There is nearly an eightfold increase in the
picograms/mL measured when using laser shots of 1 mJ in energy compared with untreated controls. Mean and
standard deviation plotted.
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SCES CONDUCTIVITY RESPONSE WITH ADDITION OF FOUR CYTOKINES
The four cytokines, synthesized and released into the media by TMEs, are added to monolayers of naïve SCEs while the monolayer
conductivity is monitored, yielding the responses shown in Figure 8. Here the SCE-conductivity measured is plotted as a function of
the type of cytokine added. At the concentrations administered for each cytokine, there is a response detected for the four factors
tested. Without a dose-response curve, it is not possible to compare the potency of each agent. However, inspection of this graph
shows that the four factors induce substantial increases in the SCE conductivity. These data support the concept that the conductivity
effects induced by the TME-cm, when added to SCEs, are likely mediated by media-borne factors as postulated in our hypothesis.
Schlemm’s canal endothelial cells (SCEs) conductivity responses after the addition of indicated cytokines.
Plot showing changes in conductivity induced by the direct addition to SCE monolayers of 10 ng of IL-1α, 5
ng of IL-8, 15 ng of tumor necrosis factor-α (TNF-α), and10 ng of IL-1β. Mean and standard deviation are
We have tested the hypothesis, in vitro, that the TMEs release factors into the media, and that these factors upon binding to SCEs
increase the permeability of the cell barrier formed by SCEs. If the same mechanism is operative in vivo, by implication, increasing
transendothelial fluid flow across the SCE barrier is tantamount to facilitating aqueous outflow, as these cells form the last barrier
crossed by this fluid upon exiting from the eye. The validity of our hypothesis is strongly supported by the evidence provided in our
studies. The TMEs, which are activated by using a lasering procedure, are capable of releasing a large number of factors into the
media. When aliquots of these factors are collected from the medium conditioned by the TMEs and added to SCEs, the putative
factors activate the SCEs. That is, the SCEs exposed to this medium respond by producing many DE genes. Moreover, as predicted,
the addition of media conditioned by the laser-activated TMEs to monolayers of untreated SCEs results in a 400% increase in SCE
conductivity. The role of media factors is supported by control studies showing that boiling, diluting, or using medium from untreated
TMEs abrogates the TME medium effects on SCE permeability. Finally, in two sets of experiments, we directly addressed the issue
of the involvement of media-borne molecular factors released by TMEs. In one set of experiments, we demonstrated that the TMEs
do synthesize and release IL-8 by demonstrating that its gene is up-regulated and that the corresponding mRNAs undergo a congruous
induction, which results in the synthesis of the corresponding IL-8 protein. The second set of experiments demonstrates, using
ELISA, that three other cytokines are released into the media by TMEs and, most important, when each of the four candidate
cytokines are added individually to SCEs, the conductivity increases in agreement with our hypothesis.
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Endothelia in the Regulation of Aqueous Outflow in the Eye
An unexpected discovery is that the responses to the laser treatment are cell-specific, because lasering TMEs yields the differential
expression of 1,570 genes compared with lasering SCEs, which yields only 40 DE genes. These differential gene responses are
correlated with the potency effects of medium conditioned by each cell type. Medium conditioned by the highly laser-activated TMEs
induces correspondingly large responses when added to either untreated TMEs or SCEs, generating 829 and 1,120 DE genes,
respectively, for a total of 1,949. On the other hand, medium conditioned by the weakly laser-activated SCEs induces congruous
small responses when added to either SCEs or TMEs, producing 328 and 12 DE genes, respectively, for a total of 340. Thus, there is
at least a 500% greater induction of DE genes by TME-conditioned medium compared with SCE-conditioned medium (ie, 1,949
versus 340 DE genes). These gene differences are reflected as well in the conductivity increases induced by each cell type. Medium
conditioned by the lasered TMEs induces a 200% greater increase in conductivity when added to TMEs and SCEs, compared with
medium conditioned by the lasered SCEs when added to the same two cell types.
Another important finding is that the cell-to-cell interactions proceed in both directions, involving TME-to-SCE and SCE-to-TME
relationships, as well as mutual exchanges involving TME-to-TME and SCE-to-SCE associations. In the case of some of these
interactions, the conductivity effects are not strictly related to the differential induction of genes. For instance, the lasered SCEs
undergo the DE of only 40 genes, but medium conditioned by these lasered SCEs when added to naïve SCEs induces 320 genes, a
response that represents an eightfold increment. To explain these seemingly disparate effects, we propose that SCEs have a receptor
profile and binding affinity that favors factors released by lasered SCEs. Other responses proceed in the opposite direction, such as
those when medium conditioned by lasered SCEs is added to naïve TMEs (12 DE genes). The SCEs undergo the induction of 320
genes when exposed to SCE-cm, which suggests that this medium probably contains a large complement of factors. Yet, when the
SCE-cm is added to naïve TMEs, these cells respond by undergoing the DE of only 12 genes, the smallest response detected. In this
circumstance, we conjecture that the binding affinity and receptor profile of TMEs is particularly insensitive to the effect of factors
released by the SCEs. In future experiments, we will control for differences in cell activation by manipulating the content of
chromophores given, as well as the amount of laser irradiation delivered to each cell type, so that the desired response intensity is
achieved. Understanding these differences in “sensitivity” is an important consideration in choosing factors to induce conductivity
increases affecting one cell type in preference to the other for the potential treatment of glaucoma.
The finding that cytokines released by TMEs regulate the permeability of the SCE barrier is novel and to our knowledge has not
been previously proposed. How this TME mechanism contributes to the two functions of the trabecular meshwork to facilitate
aqueous outflow and prevent the reflux of blood is not readily apparent. The requirements of such a mechanism are highlighted when
one considers how the SCEs help the trabecular meshwork carry out both of these functions. Here we are referring to the formation of
giant vacuoles by the SCEs. When the IOP level exceeds the episcleral venous pressure, the pressure along the basal cell surface
exceeds that in the apical surface of the SCEs and provides the driving force to induce the formation of giant vacuoles. By providing
the SCE barrier with an accessory outflow route, these vacuoles in turn promote the more rapid egress of aqueous. When the
episcleral venous pressure exceeds the IOP, the pressure is now higher along the apical than it is along the basal cell surface,
eliminating the driving force that induces the formation of giant vacuoles. Thus, giant vacuoles are no longer formed, and the barrier
becomes more resistant, as would be required to prevent the reflux of blood. Measurements of the conductivity of monolayers of
cultured human SCEs in vitro yield data that are consistent with these concepts. For instance, when perfused with fluid flowing in the
same direction as followed when aqueous exits from the eye (ie, outflow direction), the conductivity of the SCEs measures 5.23
μL/min/mm Hg/cm2, as the endothelium behaves as a leaky monolayer that can easily promote the outflow of aqueous. When the
SCE monolayer is perfused in the opposite, or reflux, direction, the conductivity measures 0.66 μL/min/mm Hg/cm2, or eight times
more resistant. Such a resistance would be required to prevent, to some extent, the reflux of blood.2 Therefore, these considerations
help us understand how, by linking the giant vacuole formation process with that of the relationship between the IOP and the venous
pressure in the lumen of Schlemm’s canal, the SCEs function to assist the trabecular meshwork in carrying out its dual functions of
facilitating aqueous outflow and preventing the reflux of blood.
We now use these concepts to propose that a mechanism exists for the TMEs that is essentially similar to that described for the
SCEs. The trabecular meshwork and the lining TMEs, as well as Schlemm’s canal and the lining SCEs, undergo deformation and
stretching with changes in intraocular pressure.30 Moreover, stretching the TMEs by mechanical means or by increasing the
intraocular pressure elicits a wide variety of important biochemical responses.31-34 Assuming that the TMEs have stretch receptors,
when the IOP is greater than the venous pressure, the increased tension makes the trabecular beams and cords taut, thus triggering the
stretch receptors to activate the TMEs to release vasoactive factors that then will increase flow across the SCEs. When the IOP is less
than the venous pressure, the beams and cords become flaccid, resulting in the opposite response, which should increase the resistance
presented by the SCEs so as to resist the reflux of blood. If such a tension-sensitive mechanism does in fact exist, it is likely that
miotics, like pilocarpine, by inducing the contraction of the ciliary muscle and increasing the tension along the trabecular meshwork
beams and cords, could also activate the stretch receptor to turn on the TMEs. These cells, under the influence of the miotic-mediated
increase in tension, would then release the factors required to increase the SCE conductivity, and thus the egress of aqueous. We
propose that the mechanical effects generating tension and biologic mechanisms releasing vasoactive factors work together. These
interactions account for the action of miotics during glaucoma therapy, instead of being due to strictly mechanical effects as
traditionally credited for the action of this drug.35 Importantly, the validity of this theory can be readily tested using the gene
activation approaches described in the present paper along with the use of TMEs grown over stretchable silicone sheets.
In primary open-angle glaucoma (POAG), the population of trabecular meshwork endothelial cells is markedly decreased
compared with that of age-matched healthy subjects.36-40 This progressive decline in cell density results in the loss of 0.58% of the
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total number of cells per year and is most pronounced in the inner layers of the filtration zone of the trabecular meshwork. The inner
trabecular cells, which are the first encountered by aqueous humor, may be prone to injury by free oxygen radicals carried in this
fluid.39 When we first noticed the loss of TMEs in POAG, it was difficult to comprehend how this cell loss could have a negative
impact on the facility of aqueous outflow and the pathogenesis of glaucoma,36 particularly in view of the generally held concept that
the greatest resistance to aqueous outflow is presented by the SCEs.3 Recently, sophisticated assays have been carried out which
demonstrate that there is extensive oxidative DNA damage involving the trabecular cells of patients with POAG, affecting the
filtration zone and the inner trabecular meshwork layers.41 Additionally, we are interested in understanding the particular mechanisms
involved in the loss of trabecular meshwork cells. Other studies report that incorporating a particular type of myocilin mutant known
to be present in vivo in certain types of open-angle glaucoma into TMEs in vitro (ie, Pro370Leu) actually results in what is referred to
as “killing” of the cultured human TMEs. The TMEs’ demise is due to misfolding, aggregation, and buildup of this protein in the
endoplasmic reticulum of the trabecular cells.42 Whether due to oxidative DNA damage or the abnormal processing of protein folding
(ie, proteomics) by the TMEs in POAG, there is increasing evidence suggesting the involvement of several mechanisms whereby the
normal population of trabecular meshwork cells is affected by dysfunction and death. In view of the present study, it is now becoming
increasingly clear how such a loss of trabecular meshwork cells, by reducing the quantity of cytokines released by a diminished
population of TMEs, could have a negative impact on the homeostasis of aqueous outflow. The reduced load of cytokines and other
factors may not maintain the porosity of SCEs necessary to facilitate aqueous outflow, and the IOP may rise to the abnormal levels
characteristic of many patients with glaucoma.
This study could not have been accomplished without the use of the F-D Nd:YAG laser, because this instrument, when applied
using low-fluence light energy, preserves the baseline permeability properties of the lasered cells. Our results provide a new
understanding of the mechanism of action of this novel glaucoma laser therapy based on the activities of the TMEs and SCEs, instead
of purely mechanical effects.9,43 In view of the fact that lasering effects appear to be cell-specific, we are inclined to support a more
prominent role for the TMEs, which are most intensely activated by F-D Nd:YAG laser treatment. In addition, it is important to recall
that the TMEs also release matrix metalloproteinases, which in promoting fluid flow across the extracellular matrix, also participate in
facilitating the overall rate of aqueous outflow.10 It is also important to note that the interactions between TMEs and SCEs proceed in
both directions and involve relationships within cells of a given type. This is important for several reasons. Interactions among TMEs
allow for these cells to release factors that could affect the TMEs lining the outermost aqueous channels, which must be crossed before
aqueous can pass into the juxtacanalicular tissues. The paracellular route of the outer TMEs is more porous than that in other TMEs
lining the innermost trabecular meshwork beams and cords. Perhaps this particular widening of the paracellular route of TMEs lining
the outermost trabecular meshwork is related to the cumulative effects of cytokines released by the entire population of TMEs
becoming most concentrated, and having the greatest effect in TMEs near the juxtacanalicular tissues. Similarly, although the SCEs
are less activated, factors released by these cells are particularly potent in promoting transendothelial flow across SCEs, as
demonstrated by our experiments. Thus, the activation of SCEs by the laser treatment may be particularly effective in promoting
transendothelial flow across the SCE barrier.
We conclude by noting that the use of the F-D Nd:YAG laser, and the in vitro methods described, has already allowed us to
identify four cytokines released by lasered TMEs. Completion of this survey by identifying cytokines and chemokines involved,
among the known 298 cytokines and chemokines, is a realistic goal, and such knowledge may enhance our future ability to manipulate
aqueous outflow using some of these factors in the treatment of glaucoma.
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DR RICHARD K. PARRISH II. To an ophthalmologist who has performed argon laser trabeculoplasty (ALT) for 25 years and
selective laser trabeculoplasty (SLT) for 5 years without a genuine understanding of how either procedure lowers intraocular pressure,
this presentation comes as a breath of fresh air. Dr Alvarado provides important new insight to explain the therapeutic effect of SLT
by generating and meticulously testing a new hypothesis of trabecular meshwork function.
Initial attempts to explain how ALT works were based on an existing paradigm of trabecular meshwork physiology. Early
discussions of increasing the traction on the trabecular beams as a result of light-tissue thermal reaction that increased the pore size
never really seemed plausible, but provided at least a generation of ophthalmologist with some comfort as they reassured their patients
that they knew what they were doing. More sophisticated studies involving the construct of the wounded trabecular meshwork
endothelium (TME) healing itself in response to thermal injury by repopulating senescent cells to increase the turnover of
juxtacanalicular proteoglycans was somewhat more satisfying. The most recent and progressively more specific investigation of
cellular biologic events, including the expression of IL-1 alpha, IL-1 beta, and TNF still supported the notion of the self healing of the
aging or injured TME after ALT.
Dr Alvarado breaks new ground by proposing a mechanism that not only explains how SLT lowers IOP, but also much more
importantly how the trabecular and Schlemm’s canal endothelia communicate to homeostatically regulate aqueous humor outflow.
This does not mean that the previous studies on the thermally induced biologic effects of ALT are not relevant to that treatment, but
that they do not explain SLT. The ultra short duration of light tissue interaction, 3 nanoseconds, does not result in direct cell death or
initiate an apoptotic cascade based on histological findings or a genomic analysis of the laser conditioned media.
If the highest complement that can be paid to an engineer is describe his or her work as “elegant”, then this adjective can be
applied to the work presented today. If further studies define the exact composition of differentially expressed genes and their
proteins, the impact will be to usher in a radically new era of therapeutic possibilities. I congratulate the authors on defining a
promising new approach for rational glaucoma intervention.
DR JORGE A. ALVARADO. Dr Parrish adds important and appropriate background to this work in his remarks placing our new
research findings in the context of prior theories of the mechanism of action of laser trabeculoplasty. Hopefully, future in situ and in
vivo research will support our proposal as well indicating that the trabecular meshwork endothelial cells via the release of ligands
modulate the permeability of Schlemm’s canal endothelial cells, and that this trabecular endothelial cell driven mechanism is very
much under the influence of circulating monocytes. These are tantalizing hypotheses because, respectively it (a) has long been
believed that the juxtacanalicular connective tissues and the cellular barrier formed by the endothelial cells lining the lumen of
Schlemm’s canal constitute the mechanism; and (b) increasing evidence implicates the involvement of cells of inflammation,
specifically mononuclear phagocytes (monocytes/macrophages) as a systemic mechanism participating in aqueous outflow
homeostasis. I request that authorities refrain from having our residents choose the mechanism responsible for regulating aqueous
outflow until the research is accomplished providing the scientific evidence to answer such questions appropriately.
Trans Am Ophthalmol Soc / Vol 103/ 2005 163