Skip to main content

This is a preprint.

It has not yet been peer reviewed by a journal.

The National Library of Medicine is running a pilot to include preprints that result from research funded by NIH in PMC and PubMed.

bioRxiv logoLink to bioRxiv
[Preprint]. 2025 Apr 12:2025.04.12.648450. [Version 1] doi: 10.1101/2025.04.12.648450

TRPV1 Defends the Healthy Murine Cornea against Staphylococcus aureus Adhesion Independently of Sensory Nerve Firing

Orneika Flandrin 1, Yujia Yang 1, Sara Abboud 1, Naren G Kumar 1, Ananya Datta 1,#, Eric Jedel 1,2, Diana Bautista 3, David Evans 1,4, Suzanne Fleiszig 1,5,*
PMCID: PMC12027369  PMID: 40291673

Abstract

Purpose:

Previously we showed that transient receptor potential ion channels TRPA1 and TRPV1 selectively protect the cornea against bacterial adhesion, with TRPA1 countering the Gram-negative pathogen Pseudomonas aeruginosa and TRPV1 countering environmental bacteria. Here, we explored parameters of this specificity using a Gram-positive pathogen Staphylococcus aureus.

Methods:

Healthy corneas of C57BL/6J wild-type (WT), TRPA1 (−/−) or TRPV1 (−/−) mice were challenged with S. aureus for 4 or 6 hours. Some experiments instead/also used resiniferatoxin (RTX) to deplete TRPV1-expressing nerves, JNJ-17203212 to selectively antagonize TRPV1, or the anesthetic bupivacaine to inhibit nerve firing. Adherent bacteria were quantified using FISH labeling (16S rRNA-targeted probe). Lyz2+, CD11c+ and CD45+ cells were visualized/quantified using hybrid mT/mG + LysMcre mice (red cell membranes; Lyz2+-GFP), CD11c+-YFP mice, and anti-CD45-antibody respectively.

Results:

Corneas of TRPV1 (−/−) not TRPA1 (−/−) mice were found more susceptible to S. aureus adhesion compared to WT. Accordingly, either ablation of TRPV1-expressing nerves or TRPV1 antagonism increased adhesion. Defense against S. aureus adhesion did not depend on nerve firing. Despite having no significant impact on CD11c+ or Lyz2+ cell numbers, S. aureus challenge increased CD45+ cell counts, also dependent on TRPV1-expressing nerves, and it increased Lyz2+ cell sphericity and volume.

Conclusion:

Healthy corneas utilize TRPV1 to protect against S. aureus adhesion independently of sensory nerve firing. This contrasts with defense against P. aeruginosa adhesion which requires TRPA1 and nerve firing. How the differential immune cell responses to these two pathogens relate to TRP-dependent defense against adhesion remains to be determined.

Introduction

Despite regular exposure to environmental microbes, healthy corneas lack a microbiome and exhibit a unique resistance to colonization by prominent pathogens, including Pseudomonas aeruginosa (Gram-negative) and Staphylococcus aureus (Gram-positive), the latter existing as a skin commensal and also a common cause of ocular infections 1-6. Understanding the healthy cornea’s ability to avoid colonization, an important step in infection pathogenesis, is essential to preventing sight-threatening infections.

Previous work by our laboratory and others has highlighted an important role for numerous factors in mediating the exceptional intrinsic defense of the healthy cornea against P. aeruginosa, S. aureus and other bacteria. These factors include; mucus 7, secretory IgA 8, surfactant protein-D 9, the basement membrane 10, surface mucins 11,12, tight junctions 13, antimicrobial peptides 3,14-17 including cytokeratins18,19, DMBT120, resident immune cells 21 and signaling molecules including MyD88 and IL-1R1,22-24.

More recently, we discovered that sensory nerves, abundant in the cornea, play a role in defending against P. aeruginosa adhesion 25. Sensory nerves, along with their polymodal transient receptor potential (TRP) ion channels including TRPA1 (Ankyrin) and TRPV1 (Vanilloid), are known to detect harmful factors including bacterial ligands or toxins with an induction of pain, inflammation and immune response activation and modulation 26-34. Our study showed that TRPA1 prevented P. aeruginosa adhesion to a healthy cornea correlating with CD45+ immune cell recruitment 25. Additionally, corneal sensory nerve firing, inhibited by bupivacaine anesthesia, was also necessary for defending healthy and superficially-injured corneas against P. aeruginosa, correlating with a sensory nerve-dependent CD11c+ cell immune response 25, that we previously showed could inhibit P. aeruginosa adhesion to the cornea after superficial-injury 21. However, TRPV1-deficient corneas showed increased colonization by environmental bacteria, most likely Gram-positive in nature 25.

Here, we sought to determine if TRPA1 and TRPV1 exert pathogen specificity in defending the healthy cornea against bacterial adhesion by using a different ocular pathogen Staphylococcus aureus. Bacterial adhesion and immune cell responses to S. aureus challenge were examined using TRPA1 (−/−) and TRPV1 (−/−) mice combined with pharmacological inhibition of receptors and sensory nerve firing. Comparisons with P. aeruginosa were included as applicable.

Materials and Methods

Mice

Six- to twelve-week-old male or female C57BL/6J wild-type (WT) mice (Jackson Laboratory) and gene knockouts in TRPV1 (−/−) or TRPA1 (−/−) (kindly provided by Dr. Diana Bautista, University of California, Berkeley) were used for bacterial adhesion experiments. In some experiments, transgenic mT/mG + LysMcre hybrid WT mice, i.e. a mT/mG mouse (red cell membranes, Jackson Laboratory) crossed with a LysMcre mouse (green Lyz2+ cells, Jackson Laboratory), or CD11c+-YFP (yellow CD11c+ cells, Jackson Laboratory) mice were used to assess immune cell responses to bacteria. Videos to demonstrate Imaris immune cell processing methods used a mT/mG + LysMcre mouse. All procedures were carried out per standards established by the Association for the Research in Vision and Ophthalmology (ARVO), under protocol AUP-2019-06-12322 approved by the Animal Care and Use Committee, the University of California Berkeley (an AAALAC-accredited institution). The protocol adheres to PHS policy on the humane care and use of laboratory animals, and the guide for the care and use of laboratory animals.

Bacterial Strains

Staphylococcus aureus S33, a clinical isolate from a human ocular infection, was used throughout the study. In some experiments, Pseudomonas aeruginosa PAO1 (tdTomato) was also used for comparison to our prior work 25. Bacteria were prepared by growth on a trypticase soy agar plate overnight for ~16 hours at 37°C, followed by suspension in phosphate-buffered saline (PBS) to a concentration of ~1011 colony-forming units (CFU)/ml.

Bacterial Adhesion Assay using Fluorescence in Situ Hybridization (FISH)

An in vivo model of bacterial adhesion was used as we have described previously 2,25. Mice were anesthetized by intraperitoneal injection of ketamine (80 - 100 mg/Kg) and dexmedetomidine (0.25 - 0.5 mg/Kg). Corneas were inoculated with 5 μl of bacterial suspension once every hour for 4 hours (4 inoculations) while contralateral corneas were sham-inoculated with PBS. Animals remained anesthetized on a heated pad for the duration of bacterial exposure. After 4 hours, animals were euthanized by intraperitoneal injection of ketamine (80–100 mg/Kg) and xylazine (5 - 10 mg/Kg), or isoflurane (5 %) for 10 minutes, either followed by cervical dislocation. Eyes were enucleated, rinsed with PBS, and fixed in 2 % paraformaldehyde overnight at 4°C. For ex vivo experiments, freshly enucleated eyes were submerged in 200 μl of bacterial suspension for 6 hours at 37°C followed by a PBS rinse with fixation.

Fixed whole eyes were labeled for adherent bacteria using a universal 16S rRNA-targeted FISH probe as previously described 1,25,35. Briefly, fixed eyes were washed in PBS, 80 % ethanol, and 95 % ethanol for 10 minutes each at room temperature. Eyes were placed in hybridization buffer (0.9 M NaCl, 20 mM Tris-HCl, and 0.01 % SDS) followed by incubation at 55°C for 30 minutes. The 16S rRNA-targeted gene probe [Alexa488]-GCTGCCTCCCGTAGGAGT-[Alexa488] (Eurofins Genomics) was added to eyes to a final concentration of 100 nM for overnight incubation at 55°C. Adherent bacteria were imaged and quantified as described below.

TRPA1/TRPV1 Nociceptor Ablation and Corneal Sensory Nerve Block

TRPV1-expressing corneal nerves were selectively ablated using resiniferatoxin (RTX) (AdipoGen: AG-CN2-0534-MC05) as previously described 25,36,37. Briefly, mice were lightly anesthetized with isoflurane (3 %), and 100 μl RTX solution was injected subcutaneously in the scruff of the neck at a final concentration of 30 μM for 3 consecutive days. To inhibit corneal sensory nerve firing, 0.5 % bupivacaine hydrochloride solution was injected into the subconjunctival sac (5 μl) and added topically (5 μl) in anesthetized mice for 20 minutes 25. Following RTX ablation or sensory nerve block, bacterial adherence was assessed as above.

TRPV1 Ion Channel Inhibition

The JNJ-17203212 (Cayman Chemical; #30930) antagonist was used to selectively inhibit TRPV1 channel activity as previously described 38,39. Briefly, mice were anesthetized and 5 μl antagonist was injected into the subconjunctival sac at a final concentration of 500 μM. An additional 5 μl was immediately added topically. After 20 minutes, corneas were washed with PBS followed by a bacterial adherence assay. In a control experiment without inoculation, a capsaicin eye wipe test was performed after antagonist treatment and determined the effective duration of TRPV1 block to be 3 hours. Corneal epithelial integrity was also assessed 4 hours after antagonist treatment by adding 5 μl of fluorescein solution (0.02 %) to the ocular surface followed by slit-lamp imaging.

Immunohistochemistry

In some experiments, after the bacterial adhesion assay, enucleated eyes were fixed overnight in 2 % paraformaldehyde then washed for 10 minutes with rotation as previously described 25,37. Corneal dissections were performed under a dissecting microscope and dissected corneas placed in a blocking solution (3 % bovine serum albumin with 0.3 % Triton X-100 in PBS) for 1 hour at room temperature. Corneas were then incubated in primary antibody (rat anti-mouse CD45+ [1:500; BD Pharmingen: #550539]) overnight at 4°C with rotation. Corneas were transferred to secondary antibody (anti-rat antibody [Life Technologies: #A21434]) diluted in DAPI (4,6-diamidino-2-phenylindole dihydrochloride; 12.5 μg/mL; Thermo Fisher: #D1306) for 2 hours at room temperature with rotation and covered with aluminum foil. Corneas were transferred to fresh PBS and washed 3 times for 10 minutes with rotation at room temperature and flat-mounted with Prolong Gold (Thermo Fisher: #P36970) before confocal imaging.

Confocal Microscopy and Image Analysis

Samples were imaged using an Olympus FV1000 confocal microscope with a 20×/ 1.0 NA water-dipping objective. The 488 nm laser was used for detection of bacteria labeled with the FISH probe, fluorescein, or Lyz2+-GFP cells. The 515 nm laser was used for CD11c+-YFP cells, 559 nm used for red cell membranes, and the 635 nm laser used for corneas labeled with anti-CD45 antibody. The 635 nm laser was also used to visualize corneal surface reflectance (excitation and emission at the same wavelength). Z stacks were acquired at a 0.4 μm step size and an aspect ratio of 1024 μm x 1024 μm for bacteria detection. Adherent bacteria were identified and quantified using Imaris spot detection. For immune cells, a 1μm step size and 512 μm x 512 μm aspect ratio were used. Acquired Z stacks were reconstructed as 3-D images using Imaris Software. Corneal immune cell morphology was analyzed as previously described 37,40, and the processes summarized in Supplemental Fig. S1. Supplemental Videos 1 and 2 show examples of the processes illustrated in Fig. S1: Video 1 showing surface rendering and distance transformation of corneal immune cells, Video 2 showing color-coding of immune cells based on their volume, sphericity and distance from the endothelium.

Statistical Analysis

Statistical analysis was performed using Prism (GraphPad Software, Inc.). Data were expressed as the mean ± standard deviation (SD). An unpaired Student’s t-Test was used for two group comparisons. Comparisons between three or more groups were performed using One-way or Two-way ANOVA tests with Tukey’s multiple comparisons as indicated in each figure. P values < 0.05 were considered significant. All experiments were repeated at least twice.

Results

TRPV1 is Required for Corneal Defense versus S. aureus Adhesion

Our previous findings demonstrated a role for TRPA1, but not TRPV1, in preventing adhesion of P. aeruginosa to the healthy and superficially-injured murine cornea25. The same study showed that TRPV1 helped prevent corneal colonization by environmental bacteria. Here, we first tested whether TRPA1 or TRPV1 defended the murine cornea against adhesion of S. aureus. Experiments using gene knockout mice showed that TRPV1 was required for defending the healthy cornea against deliberately-inoculated S. aureus, with TRPA1 (−/−) mice showing no difference from wild-type with both resisting bacterial adhesion (Fig. 1A). Consistent with our previous work, there was an increase in adhesion of background environmental bacteria on sham-inoculated TRPV1 (−/−) corneas versus WT (not shown). Therefore, quantification of bacterial adhesion after S. aureus inoculation was normalized to background (baseline) and showed a 5.6-fold increase in S. aureus adhesion associated with TRPV1 (−/−) corneas versus WT (Fig. 1B, P < 0.05, Two-way ANOVA). Adherent bacteria remained surface-attached and did not penetrate the epithelium (Fig. 1C). Thus, TRPV1 is needed to prevent S. aureus adhesion to the healthy murine cornea, contrasting with the requirement for TRPA1 to defend against the adhesion of P. aeruginosa.

Figure 1.

Figure 1.

Corneal defense against S. aureus adhesion requires TRPV1 ion channels. (A) Corneas were labeled using a universal 16S rRNA-targeted FISH probe. Representative images showing bacteria (green) adherent to healthy wild-type (WT), TRPA1 (−/−) or TRPV1 (−/−) mouse corneas 4 hours after inoculation with ~1011 CFU/ml S. aureus. 20X Objective. Scale bars = 20 μm. Only the bacterial channel shown. (B) Quantification shows significantly greater FISH-labeled bacteria adherent to TRPV1 (−/−) corneas at 4 hours after deliberate inoculation with S. aureus (5.6-fold) compared to those of WT or TRPA1 (−/−) mice. Data were normalized to baseline bacteria and expressed as the mean ± SD of bacteria per field of view. * P < 0.05, ns = Not Significant (Two-way ANOVA with Tukey’s multiple comparisons). (C) XZ optical slices show that bacteria were only surface attached following S. aureus inoculation (green, indicated by white arrows) and did not penetrate the corneal epithelium (red). Scale bars = 20 μm.

Corneal Defense vs. S. aureus Adhesion is Inhibited by Resiniferatoxin, Eliminated Ex vivo but Retained after Bupivacaine Treatment

To assess the role of TRPV1-associated sensory nerves in the corneal defense against S. aureus adhesion, we first used resiniferatoxin (RTX) to ablate TRPV1-expressing neurons, and those co-expressing TRPA1 41. WT mice were treated with RTX for 3 days followed by inoculation with S. aureus in vivo. Fig. 2 shows effective RTX ablation of sensory nerves (Fig. 2A) associated with a significant increase in S. aureus adhesion, that was quantified as a 5.3-fold increase in S. aureus adhesion to the cornea versus wild-type after normalization to background environmental bacteria (baseline) (Fig. 2B, P < 0.05, Two-way ANOVA).

Figure 2.

Figure 2.

Corneal defense against S. aureus adhesion is inhibited by RTX treatment, absent ex vivo, but retained after bupivacaine treatment. (A) Corneal nerve density decreased following RTX (30 μM) ablation over 3 days, as shown by representative images (corneal nerves in green, corneal epithelium in red). Scale bars = 50 μm. (B) Quantification showing significantly greater FISH-labeled bacteria on RTX treated corneas at 4 hours after inoculation with S. aureus (5.3-fold) compared to WT mice. Data were normalized to baseline bacteria and expressed as the mean ± SD of bacteria per field of view. * P < 0.05, ns = Not Significant (Two-way ANOVA with Tukey’s multiple comparisons). (C) Ex vivo, corneal defense against S. aureus adhesion was lost with wild-type corneas showing an increase in adhesion to match the TRPV1 (−/−) mice. Data were expressed as the mean ± SD of bacteria per field of view. ns = Not Significant (Two-way ANOVA with Tukey’s multiple comparisons). (D) Quantification showed similar numbers of FISH-labeled bacteria adherent to sham-treated and bupivacaine-treated corneas after S. aureus inoculation. Data were normalized to baseline bacteria and expressed as the mean ± SD of bacteria per field of view. ns = Not Significant (Two-way ANOVA with Tukey’s multiple comparisons).

Next, enucleated WT eyes were inoculated with S. aureus. Quantification of FISH labeling following S. aureus inoculation and a 6 hour incubation ex vivo showed bacterial adhesion to wild-type corneas increased to match TRPV1 (−/−) corneas, after normalization to baseline as above. Thus, TRPV1-dependent corneal defense was abolished ex vivo (Fig. 2C).

Corneal sensory nerve firing was then blocked in vivo using sub-conjunctival bupivacaine which inhibits neuronal sodium channels 42. Bupivacaine treatment did not increase S. aureus adhesion to healthy WT mouse corneas in vivo versus sham-treated controls (Fig. 2D), i.e. corneas retained their inhibitory activity against S. aureus adhesion showing that nerve firing was not required. That result contrasted with our previous findings for P. aeruginosa in which bupivacaine treatment significantly increased bacterial adhesion to the mouse cornea 25. This latter result was reconfirmed in the present study (Supplemental Fig. S2).

To confirm TRPV1-specificity in corneal defense against S. aureus adhesion, we next used a selective TRPV1 antagonist JNJ-17203212 in WT mice (Fig. 3). This drug blocks neuronal TRPV1 activity both in vivo and in vitro by competing for the capsaicin binding site, rendering the channel inactive to other noxious stimuli 38. Local injection and topical application of JNJ-17203212 to WT corneas before S. aureus inoculation showed antagonistic effects lasting up to 3 hours in the murine cornea, demonstrated by decreased defensive wipes in a capsaicin eye wipe test (Fig. 3A). JNJ-17203212 treated corneas showed minimal fluorescein staining similar to controls indicating an intact epithelium (Fig. 3B) but showed a significant increase in S. aureus adhesion (> 20-fold) relative to controls (after normalization to baseline) (Fig. 3C), thus supporting a TRPV1-specific role in corneal defense against S. aureus adhesion.

Figure 3.

Figure 3.

A TRPV1 antagonist JNJ-17203212 inhibits corneal defense versus S. aureus. (A) WT corneas treated with a TRPV1 antagonist JNJ-17203212 (500 μM) showed reduced sensitivity to capsaicin (100 μM) for 3 hours compared to sham controls. * P < 0.05, ns = Not Significant (One-way ANOVA with Tukey’s multiple comparisons). (B) Slit-lamp images of WT corneas after TRPV1 antagonist treatment showed no corneal staining indicating an intact corneal epithelium. (C) Quantification showed a significant increase in FISH-labeled bacteria to antagonist treated WT corneas after S. aureus inoculation versus sham controls. Data were normalized to baseline bacteria and expressed as the mean ± SD of bacteria per field of view. **** P < 0.0001 (Two-way ANOVA with Tukey’s multiple comparisons).

S. aureus Challenge Does Not Elicit a Corneal CD11c+ Immune Cell Response

Previously we showed that increased P. aeruginosa adhesion to healthy or superficially-injured mouse corneas after RTX or bupivacaine treatment correlated with inhibition of corneal CD11c+ cell responses to P. aeruginosa 25. Prior to that study, we had also shown that corneal CD11c+ cell responses to P. aeruginosa correlated with the inhibition of bacterial adhesion to the cornea after superficial injury with immune cell movement in close proximity to attached bacteria 21. Thus, healthy cornea CD11c+ cell responses to S. aureus challenge were assessed using CD11c-YFP mice and compared to P. aeruginosa (Fig. 4). Results showed that S. aureus challenge did not cause a significant corneal CD11c+ cell response (Fig. 4A, B) contrasting with P. aeruginosa (Fig. 4F, G). CD11c+ cells also moved further away from the cornea surface (Fig. 4C) also in contrast with P. aeruginosa where migration towards the cornea surface was observed (Fig. 4H) as we had previously observed 21. Morphological analysis revealed CD11c+ cells became less spherical after S. aureus inoculation (Fig. 4D) with a similar result observed for P. aeruginosa (Fig. 4I), the latter consistent with our prior study 25. CD11c+ cell volume showed no after S. aureus inoculation (Fig. 4E) contrasting with increased cell volume observed after P. aeruginosa challenge (Fig. 4J) that was also consistent with our prior study 25. Thus, corneal CD11c+ cell responses to S. aureus were mostly distinct from those in response to P. aeruginosa, i.e. no change in cell number, cells moving in the opposite direction away from the corneal surface with no change in cell volume, suggesting a lack of CD11c+ cell involvement in defense versus S. aureus adhesion.

Figure 4.

Figure 4.

Distinct corneal CD11c+ cell responses to S. aureus compared to P. aeruginosa. (A) Quantification of CD11c+ cells in healthy WT corneas 4 hours after S. aureus challenge reveals no significant increase in cell numbers versus controls after inoculation. (B) Z-projections of the YFP channel showing all CD11c+ cells (yellow) projected into one plane. Scale bars = 50 μm. (C) CD11c+ cells were further away from the corneal epithelium after S. aureus inoculation. The dashed line denotes the basement membrane (BM) with areas above representing the epithelium and zero indicating the endothelium. (D) CD11c+ cells were significantly less spherical after S. aureus inoculation. (E) CD11c+ cells showed no change in volume after S. aureus inoculation. (F) Quantification of CD11c+ cells in healthy WT corneas 4 hours after P. aeruginosa challenge shows a significant increase in CD11c+ cells versus controls. (G) Z-projections of the YFP channel showing all CD11c+ cells (yellow) projected into one plane. Scale bars = 50 μm. (H) CD11c+ cells were significantly closer to the corneal epithelium following P. aeruginosa inoculation. The dashed line denotes the basement membrane (BM) as above. (I) CD11c+ cells were less spherical after P. aeruginosa inoculation. (J) CD11c+ cells showed an increased volume after P. aeruginosa inoculation. Data were expressed as the mean ± SD cells per field of view. * P <0.05, ** P < 0.01, **** P < 0.0001, ns = Not Significant (Student’s t-Test).

S. aureus Challenge Did Not Elicit a Corneal Lyz2+ Immune Cell Response

Given the absence of CD11c+ cell responses to S. aureus, we expanded our investigation to include a different subset of corneal immune cells expressing Lyz2, e.g. monocytes, macrophages. Inoculation of mT/mG + LysMcre hybrid WT mice with S. aureus did not result in an increase in Lyz2+ cells (Fig. 5A, B). Interestingly, the same result was found for P. aeruginosa (Fig. 5F. G) contrasting with the observed CD11c+ cell response (Fig. 4F, G). There was no change in Lyz2+ cell migration in response to S. aureus (Fig. 5C) contrasting with the migration of CD11c+ cells away from the surface under the same conditions (Fig. 4C). However, P. aeruginosa challenge did result in Lyz2+ cell migration towards the corneal epithelium (Fig. 5H) as observed for CD11c+ cells (Fig. 4H). While no change in cell numbers was observed, Lyz2+ cell morphologies changed after S. aureus inoculation with increased Lyz2+ cell sphericity (Fig. 5D) and volume (Fig. 5E) contrasting with CD11c+ cell changes (Fig. 4D, E). P. aeruginosa challenge did not impact Lyz2+ cell sphericity (Fig. 5I) or volume (Fig. 5J) contrasting with CD11c+ cell changes (Fig. 4I, J).

Figure 5.

Figure 5.

Quantitative and morphological analysis of Lyz2+ cells in healthy corneas of mT/mG + LysMcre (red cell membranes; green Lyz2+ immune cells) hybrid WT mice at 4 hours after S. aureus or P. aeruginosa challenge. (A) Quantification of Lyz2+ cells after S. aureus challenge showing no change in cell numbers. (B) Z-projections of the GFP channel with all Lyz2+ cells (green) projected into one plane. Scale bars = 30 μm. (C) Lyz2+ cells did not show migration changes after S. aureus inoculation. The dashed line denotes the basement membrane (BM) with areas above representing the epithelium and zero indicating the endothelium. (D) Lyz2+ cells were more spherical after S. aureus inoculation, and (E) showed a significant increase in cell volume. (F) Quantification of Lyz2+ cells after P. aeruginosa challenge shows no significant increase in cell numbers. (G) Z-projections of the GFP channel with all Lyz2+ cells projected into one plane. Scale bars = 30 μm. (H) Lyz2+ cells were significantly closer to the corneal epithelium following P. aeruginosa inoculation. The dashed line denotes the basement membrane (BM) as above. (I) Lyz2+ cell sphericity did not change after P. aeruginosa inoculation. (J) Lyz2+ cell volume did not change after P. aeruginosa inoculation. Data expressed as the mean ± SD cells per field of view. ** P < 0.01,**** P < 0.0001, ns = Not Significant (Student’s t-Test).

Corneal CD45+ Cells Respond to S. aureus Challenge

The absence of corneal CD11c+ or Lyz2+ cell infiltrative responses to S. aureus led us to expand our investigation to include CD45+ cells using antibody labeling in healthy WT mice. Results showed a small but significant increase in corneal CD45+ immune cells after S. aureus inoculation (~1.7-fold) which was inhibited by RTX (Fig. 6A), showing that this response required TRPV1-expressing sensory nerves, and also consistent with our previous work with P. aeruginosa 25. Morphology analysis showed that CD45+ cells became more spherical and following S. aureus inoculation (Fig. 6B) as observed for Lyz2+ cells (Fig. 5D). That change was reversed by RTX treatment with cells becoming more dendriform (Fig. 6B).

Figure 6.

Figure 6.

Increased CD45+ cell numbers at 4 hours after S. aureus inoculation was blocked by RTX. (A) Quantification of CD45+ cells reveals a small but significant increase in CD45+ cells after S. aureus inoculation (~1.7-fold) which was inhibited by RTX. Data normalized to baseline CD45+ cells for each group. (B) Morphology analysis of corneal CD45+ cells showed cells were more spherical after S. aureus inoculation, a change reversed by RTX. (C) Quantification of corneal CD45+ cells reveals a significant increase after P. aeruginosa inoculation (~2.5-fold) that was blocked by RTX. Data normalized to baseline CD45+ cells for each group. (D) Morphological analysis of CD45+ cells shows a reduced sphericity after P. aeruginosa inoculation that was not affected by RTX. Data were expressed as a mean ± SD cells per field of view. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001, ns = Not Significant (Student’s t-Test).

We had previously shown that the healthy cornea CD45+ response to P. aeruginosa challenge was abrogated in TRPA1/TRPV1 (−/−) mice 25. Here, we confirmed sensory nerve dependence of that response using RTX (Fig. 6C). CD45+ cell morphological changes in response to P. aeruginosa showed that cells became less spherical, a change unaffected by RTX (Fig. 6D). This change in sphericity contrasted with the CD45+ cell response to S. aureus (Fig. 6B), which did respond to RTX. Therefore, while both S. aureus and P. aeruginosa induced a nerve-dependent CD45+ cell response, morphological responses of these cells differed between these pathogens.

Discussion

We have previously shown that the unique ability of the healthy murine cornea to resist adhesion by P. aeruginosa2, and to resist bacterial microbiome formation1, involves corneal sensory nerves expressing Transient Receptor Potential (TRP) ion channels: TRPA1 required for defense against P. aeruginosa and TRPV1 to defend against the adhesion of environmental bacteria25. Here, we tested if there was pathogen specificity in this TRP-mediated corneal defense versus bacterial adhesion by using S. aureus, a different ocular pathogen. Interestingly, results showed that corneal resistance to S. aureus adhesion required corneal sensory nerves expressing TRPV1. This conclusion was derived from a combination of experiments firstly using TRPV1 (−/−) mice, followed by RTX ablation of TRPV1-expressing sensory nerves in WT mice, then testing intact WT corneas ex vivo. Since RTX also ablates the subset of TRPV1-expressing nerves that co-express TRPA1 41, specificity for TRPV1 in defense versus S. aureus was confirmed using the selective antagonist JNJ-17203212. In contrast to our previous findings with P. aeruginosa, bupivacaine treatment of healthy WT corneas did not compromise defense versus S. aureus adhesion, showing that sensory nerve firing was not required. Subsequent studies of immune cell responses to S. aureus challenge, with comparison to P. aeruginosa, showed differences in immune cell types that responded to each pathogen: Lyz2+ cells for S. aureus, versus CD11c+ cells for P. aeruginosa 25 (also confirmed in this study). While both pathogens induced sensory nerve-dependent CD45+ cell responses, their morphology changes differed between the two pathogens.

Like P. aeruginosa, S. aureus poses a significant threat to ocular health, particularly in the context of corneal infections, which can lead to vision impairment 5,43,44. It is interesting, therefore, that TRPV1 (and not TRPA1) was required for defense against S. aureus, in direct contrast to the role of TRPA1 (and not TRPV1) in countering P. aeruginosa 25. The basis for this selectivity is not yet known. It is possible that TRPV1-expressing sensory nerves detect cell wall antigens of Gram-positive bacteria such as S. aureus, and a subset of TRPA1-expressing nerves (also TRPV1 positive 41) detect Gram-negative bacterial cell wall antigens, each responding accordingly to limit adhesion. In that regard, present findings are consistent with our previous work showing a role for TRPV1 in defending the cornea against adhesion of environmental bacteria, which are thought to be mostly Gram-positive, and which could include conjunctival commensals e.g. coagulase-negative Staphylococcus and Propionibacterium spp. 45. Furthermore, other prior studies have shown that P. aeruginosa LPS promotes inflammation and pain via TRPA1 activation 46, and S. aureus pore-forming toxins such as α-hemolysin can trigger inflammation and pain via TRPV1-expressing neurons 31. However, TRPA1 and TRPV1 can also both bind bacterial-derived quorum-sensing molecules to activate these channels (Gram-negative-derived molecules) or show inhibitory effects (Gram-positive-derived molecules) with differences in TRP receptor specificity depending upon quorum-sensing molecular structure 47. It is also possible that selectivity between TRPV1- and TRPA1-mediated defenses is derived from differences in bacterial susceptibility to effector mechanisms triggered by various bacterial antigens, e.g. if P. aeruginosa resists TRPV1-triggered defenses while S. aureus is susceptible. The molecular basis for TRPV1 vs. TRPA1 selectivity in corneal defense against bacterial adhesion is a focus of our ongoing studies. Our findings to date suggest, however, that TRP selectivity is not based on bacterial categorization as a pathogen or an environmental/commensal but could be based upon differences in cell wall composition.

TRPV1 is expressed on the majority of corneal sensory neurons 48. While some studies indicate TRPV1 expression on non-neuronal cell types 49-51, the present study suggests that TRPV1 defense versus S. aureus adhesion involves nerve-associated TRPV1. This conclusion reflects an inhibition of this corneal defense by RTX, which ablates TRPV1-expressing sensory nerves, and the loss of this defense when eyes were tested ex vivo. Contrasting with P. aeruginosa 25, however, corneal defense versus S. aureus adhesion was retained after bupivacaine block of sensory nerve firing. These findings suggesting a fundamental difference between mechanisms of nerve-associated TRPV1- and TRPA1-mediated corneal defenses versus S. aureus and P. aeruginosa respectively.

Effector mechanism(s) by which TRPV1 defends the cornea versus S. aureus adhesion remain to be determined. The lack of requirement for sensory nerve firing suggests TRPV1 allows a local release of factors with antimicrobial or other anti-adhesive efficacy. Effectiveness of a TRPV1 antagonist JNJ-17203212 in blocking corneal defense versus S. aureus adhesion suggests that TRPV1 channel activation with Ca2+ influx is required 49,52 since these would be blocked by this competitive antagonist. Moreover, activation of TRPV1 by agonists, bacterial ligands or other potentially harmful stimuli can result in the local release of neuropeptides, e.g. Calcitonin-Gene-Related Peptide or Substance P, with subsequent pro-inflammatory 53, antimicrobial 54, or immunomodulatory effects 55 which could all contribute to corneal defense 56. Importantly, while activation of TRPV1 with Ca2+ influx (i.e. membrane depolarization) is associated with generation of an action potential and sensory nerve firing 57, neuropeptide(s) release independently of those events could provide an avenue to explain the retention of TRPV1-mediated defense against S. aureus adhesion despite bupivacaine block of sensory nerve firing via inhibition of voltage-gated sodium channels 58. Indeed, TRPV1 can control neuronal release of the neurotransmitter glutamate independently of action potential evoked release, albeit with both under Ca2+ regulation 59.

It is well-established that TRPV1 and TRPA1 activation has multiple effects on immune cells in many tissues 28,55,60. Previously we showed that TRPA1-mediated defense against P. aeruginosa adhesion to healthy and superficially-injured corneas closely correlated with changes in immune cell recruitment (CD45+ and CD11c+ cells) and morphology (CD11c+ cells) 25. We also showed that TRPV1 and TRPA1 contributed to baseline levels of resident corneal immune cells, e.g. MHC-II positive cells, and to contact lens-induced corneal parainflammatory responses 37. The present study showed distinct differences in immune cell responses to S. aureus compared to P. aeruginosa. The most obvious was absence of a quantitative CD11c+ cell response to S. aureus, i.e. no change in cell number. CD11c+ cells also migrated away from the corneal epithelium after S. aureus challenge and showed no change in cell volume. Other than a reduction in cell sphericity after S. aureus challenge, all contrasted with CD11c+ responses to P. aeruginosa suggesting that corneal CD11c+ cells, e.g. resident dendritic cells, may play a less significant role in defending the cornea against S. aureus adhesion compared to P. aeruginosa.

Lyz2+ cells, however, responded to S. aureus, not quantitatively but with morphology changes of increased sphericity and volume in response to the bacteria compared to the absence of Lyz2+ cell changes, quantitative or morphological, in response to P. aeruginosa. Thus, corneal responses to S. aureus challenge appear distinct from those in response to P. aeruginosa: the former favoring Lyz2+ cells, the latter favoring CD11c+ cells not expressing Lyz2. Ongoing flow cytometric analysis of immune cell responses to these two bacterial pathogens will help define Lyz2+ and CD11c+ cell types involved. Complementary studies will then determine the functional role(s) of identified cells in defending the cornea against bacterial adhesion.

S. aureus challenge was found to induce a small but significant quantitative corneal CD45+ cell response that was inhibited by RTX suggesting the requirement of TRPV1-expressing sensory nerves. This was consistent with P. aeruginosa induced quantitative corneal CD45+ responses that we reported previously using TRPA1/TRPV1 double gene knockout mice 25 and confirmed here using RTX. Thus, corneal CD45+ cells respond to both S. aureus and P. aeruginosa challenge in a sensory nerve-dependent manner. Further studies are needed to determine the specific type(s) of CD45+ cells responding to each pathogen and the proportion of these cells also expressing Lyz2 or CD11c. Differences in CD45+, Lyz2+ and CD11c+ cell morphology changes in response to both pathogens may reflect differences in cellular activation states and respective involvement of TRPV1- versus TRPA1-expressing sensory nerves. However, further studies will be needed to determine the significance of these cellular responses (quantitative, directional and morphological) with respect any role(s) in defending the healthy cornea against bacterial adhesion.

In conclusion, this study shows that TRPV1-expressing sensory nerves are required for defending the healthy cornea against the adhesion of S. aureus, an important ocular and systemic pathogen. This defense is independent of sensory nerve firing. These findings contrast with P. aeruginosa for which TRPA1 and sensory nerve firing are required. While specific mechanisms of TRPV1-mediated defense versus S. aureus remain to be determined, a role for CD45+ and Lyz2+ cells cannot be excluded. Corneal immune cell responses to S. aureus shown here appear distinct from the sensory nerve-dependent CD11c+ cell responses that correlate with TRPA1-mediated defense against P. aeruginosa 25. Ongoing studies are focused on determining the antimicrobial or anti-adhesive mechanisms underlying TRPV1- and TRPA1-mediated sensory nerve defense against these two clinically significant ocular pathogens, and the role of specific immune cell types associated with these responses.

Supplementary Material

Supplement 1

Supplemental Figure S1. Morphological analysis of corneal immune cells using Imaris. (A) Left image: A “surface object” of each immune cell (representative image shows Lyz2+ immune cells, green) was created using a XY size of 10 μm. Center image: Another surface object was manually drawn using the red channel (or reflectance for CD11c+-YFP mice) to select the total immune cells signal above the corneal endothelium (pink). Right image: From the created endothelium, a distance transformation was performed. This created a new channel (channel 3, not shown in the image) to determine the distance of Surface 1 (Immune cells) from Surface 2 (Endothelium). Scale bars = 30 μm. (B) Left image: Immune cells were statistically color-coded to reflect sphericity ranges: Purple ≤ 0.3 = most dendriform, 0.3< >0.8, and red ≥ 8 = most circular. Center image: Immune cells were statistically color-coded to reflect ranges in volumes/sizes. Right image: Immune cells were assessed for their location in the cornea based on their mean intensity (distance) from the endothelium. Cells were statistically coded to reflect ranges in distance: Purple, 0 μm = at the endothelium, 0< >80 μm = stroma, and red ≥ 80 μm = epithelium. Scale bars = 30 μm.

media-1.tif (1.3MB, tif)
Supplement 2

Supplemental Figure S2. Increased P. aeruginosa adherence to wild-type heathy mouse corneas after bupivacaine treatment. (A) Corneas were labeled with a universal 16S rRNA-targeted FISH probe to detect background environmental bacteria in uninoculated controls and P. aeruginosa after inoculation. Representative images show P. aeruginosa inoculated corneas with increased bacterial adhesion to corneas treated with bupivacaine (0.5%) versus sham controls following hourly inoculation of ~1011 CFU/ml P. aeruginosa for 4 hours. Scale bars = 50 μm. Only bacterial channel shown. (B) Quantification of FISH-labeled bacteria on wild-type corneas after P. aeruginosa inoculation showing a ~ 2.6-fold increase in bacterial adhesion to bupivacaine treated corneas versus sham controls. Data were normalized to environmental (baseline) bacteria and expressed as a mean ± SD of bacteria per field of view. * P < 0.05 (One-way ANOVA with Tukey’s multiple comparisons).

media-2.tif (187.3KB, tif)
Supplement 3

Supplemental Video 1. Video shows how the surfaces of the corneal endothelium and immune cells were rendered using the Imaris surface function. A 3D volume image of the central cornea from a mT/mG + LysMcre hybrid WT mouse (red cell membranes; green Lyz2+ immune cells) is shown. A white surface object was generated from the endothelium signal, and the distance outside this object was transformed into a new channel, where intensity values (from low to high) indicate increasing distance from the endothelium. Then, the green surface objects were generated from the Lyz2+ signal, and distance of these cell objects from the endothelium object was measured according to the intensity values of the transformed channel.

Download video file (20.1MB, mp4)
Supplement 4

Supplemental Video 2. Video shows how surface rendered immune cells can be categorized by different properties. Firstly, the immune cell objects were color-coded by their volume, with a colormap in the lower right corner ranging from purple (smallest) to red (largest). Next, the cell objects were differently color-coded by their sphericity, from purple being most dendriform shape to red being the most spherical. Finally, the cell objects were color-coded by their distance from the endothelium object, from purple being closest to red being farthest. The image was also rotated to better visualize spatial distribution of the cells.

Download video file (19.3MB, mp4)

Acknowledgements

This work was supported by the National Institutes of Health EY030350 (SMJF).

Footnotes

Commercial relationships. None to declare for each author.

References

  • 1.Wan SJ, Sullivan AB, Shieh P, et al. IL-1R and MyD88 contribute to the absence of a bacterial microbiome on the healthy murine cornea. Front Microbiol. 2018;9:1117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Mun JJ, Tam C, Kowbel D, et al. Clearance of Pseudomonas aeruginosa from a healthy ocular surface involves surfactant protein D and is compromised by bacterial elastase in a murine null-infection model. Infect Immun. 2009;77(6):2392–2398. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Augustin DK, Heimer SR, Tam C, et al. Role of defensins in corneal epithelial barrier function against Pseudomonas aeruginosa traversal. Infect Immun. 2011;79(2):595–605. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Krismer B, Weidenmaier C, Zipperer A, Peschel A. The commensal lifestyle of Staphylococcus aureus and its interactions with the nasal microbiota. Nat Rev Microbiol. 2017;15(11):675–687. [DOI] [PubMed] [Google Scholar]
  • 5.O’Callaghan RJ. The pathogenesis of Staphylococcus aureus eye infections. Pathogens. 2018;7(1):9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Shah S, Wozniak RAF. Staphylococcus aureus and Pseudomonas aeruginosa infectious keratitis: key bacterial mechanisms that mediate pathogenesis and emerging therapeutics. Front Cell Infect Microbiol. 2023;13:1250257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Fleiszig SM, Zaidi TS, Ramphal R, Pier GB. Modulation of Pseudomonas aeruginosa adherence to the corneal surface by mucus. Infect Immun. 1994;62(5):1799–1804. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Masinick SA, Montgomery CP, Montgomery PC, Hazlett LD. Secretory IgA inhibits Pseudomonas aeruginosa binding to cornea and protects against keratitis. Investig Ophthalmol Vis Sci. 1997;38(5):910–918. [PubMed] [Google Scholar]
  • 9.Ni M, Evans DJ, Hawgood S, Anders EM, Sack RA, Fleiszig SMJ. Surfactant protein D is present in human tear fluid and the cornea and inhibits epithelial cell invasion by Pseudomonas aeruginosa. Infect Immun. 2005;73(4):2147–2156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Alarcon I, Kwan L, Yu C, Evans DJ, Fleiszig SMJ. Role of the corneal epithelial basement membrane in ocular defense against Pseudomonas aeruginosa. Infect Immun. 2009;77(8):3264–3271. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Argüeso P, Guzman-Aranguez A, Mantelli F, Cao Z, Ricciuto J, Panjwani N. Association of cell surface mucins with galectin-3 contributes to the ocular surface epithelial barrier. J Biol Chem. 2009;284(34):23037–23045 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Ricciuto J, Heimer SR, Gilmore MS, Argueso P. Cell surface O-Glycans limit Staphylococcus aureus adherence to corneal epithelial cells. Infect Immun. 2008;76(11):5215–5220. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Alarcon I, Tam C, Mun JJ, et al. Factors impacting corneal epithelial barrier function against Pseudomonas aeruginosa traversal. Invest Ophthalmol Vis Sci. 2011;52(3):1368–1377. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Haynes RJ, Tighe PJ, Dua HS. Antimicrobial defensin peptides of the human ocular surface. Br J Ophthalmol. 1999;83(6):737–741. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.McNamara NA, Van R, Tuchin OS, Fleiszig SMJ. Ocular surface epithelia express mRNA for human beta defensin-2. Exp Eye Res. 1999;69(5):483–490. [DOI] [PubMed] [Google Scholar]
  • 16.Huang LC, Jean D, Proske RJ, Reins RY, McDermott AM. Ocular surface expression and in vitro activity of antimicrobial peptides. Curr Eye Res. 2007;32(7-8):595–609. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.McDermott AM. The role of antimicrobial peptides at the ocular surface. Ophthalmic Res. 2009;41(2):60–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Tam C, Mun JJ, Evans DJ, Fleiszig SMJ. Cytokeratins mediate epithelial innate defense through their antimicrobial properties. J Clin Invest. 2012;122(10):3665–3677. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Lee JTY, Wang G, Tam YT, Tam C. Membrane-active epithelial keratin 6A fragments (KAMPs) are unique human antimicrobial peptides with a non-αβ structure. Front Microbiol. 2016;7:1799. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Li J, Metruccio MME, Evans DJ, Fleiszig SMJ. Mucosal fluid glycoprotein DMBT1 suppresses twitching motility and virulence of the opportunistic pathogen Pseudomonas aeruginosa. PLoS Pathog. 2017;13(5):e1006392. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Metruccio MME, Tam C, Evans DJ, Xie AL, Stern ME, Fleiszig SMJ. Contributions of MyD88-dependent receptors and CD11c-positive cells to corneal epithelial barrier function against Pseudomonas aeruginosa. Sci Rep. 2017;7(1):13829. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Tam C, LeDue J, Mun JJ, et al. 3D quantitative imaging of unprocessed live tissue reveals epithelial defense against bacterial adhesion and subsequent traversal requires MyD88. PLoS One. 2011;6(8):e24008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Reins RY, Courson J, Lema C, Redfern RL. MyD88 contribution to ocular surface homeostasis. PLoS One. 2017;12(8):e0182153. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.McDermott AM, Redfern RL, Zhang B, Pei Y, Huang L, Proske RJ. Defensin expression by the cornea: multiple signalling pathways mediate IL-1beta stimulation of hBD-2 expression by human corneal epithelial cells. Invest Ophthalmol Vis Sci. 2003;44(5):1859–1865. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Wan S, Datta A, Flandrin O, et al. Nerve-associated transient receptor potential ion channels can contribute to intrinsic resistance to bacterial adhesion in vivo. FASEB. 2021;35(10):e21899. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Chiu IM, Heesters BA, Ghasemlou N, et al. Bacteria activate sensory neurons that modulate pain and inflammation. Nature. 2013;501(7465):52–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.González-González O, Bech F, Gallar J, Merayo-Lloves J, Belmonte C. Functional properties of sensory nerve terminals of the mouse cornea. Investig Opthalmology Vis Sci. 2017;58(1):404. [DOI] [PubMed] [Google Scholar]
  • 28.Bautista DM, Pellegrino M, Tsunozaki M. TRPA1: A gatekeeper for inflammation. Annu Rev Physiol. 2013;75:181–200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Belmonte C, Acosta MC, Gallar J. Neural basis of sensation in intact and injured corneas. Exp Eye Res. 2004;78(3):513–525. [DOI] [PubMed] [Google Scholar]
  • 30.Lai NY, Mills K, Chiu IM. Sensory neuron regulation of gastrointestinal inflammation and bacterial host defence. J Intern Med. 2017;282(1):5–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Blake KJ, Baral P, Voisin T, et al. Staphylococcus aureus produces pain through pore-forming toxins and neuronal TRPV1 that is silenced by QX-314. Nat Commun. 2018;9(1):37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Pinho-Ribeiro FA, Verri WA, Chiu IM. Nociceptor Sensory neuron–immune interactions in pain and inflammation. Trends Immunol. 2017;38(1):5–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Pinho-Ribeiro FA, Baddal B, Haarsma R, et al. Blocking neuronal signaling to immune cells treats Streptococcal invasive infection. Cell. 2018;173(5):1083–1097.e22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Yuan K, Zheng J, Shen X, et al. Sensory nerves promote corneal inflammation resolution via CGRP mediated transformation of macrophages to the M2 phenotype through the PI3K/AKT signaling pathway. Int Immunopharmacol. 2022;102:108426. [DOI] [PubMed] [Google Scholar]
  • 35.Wan SJ, Ma S, Evans DJ, Fleiszig SMJ. Resistance of the murine cornea to bacterial colonization during experimental dry eye. Lewin AS, ed. PLoS One. 2020;15(5):e0234013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Bates BD, Mitchell K, Keller JM, et al. Prolonged analgesic response of cornea to topical resiniferatoxin, a potent TRPV1 agonist. Pain. 2010;149(3):522–528. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Datta A, Lee JH, Flandrin O, et al. TRPA1 and TPRV1 Ion channels are required for contact lens-induced corneal parainflammation and can modulate levels of resident corneal Immune cells. Invest Ophthalmol Vis Sci. 2023;64(11):21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Ghilardi JR, Röhrich H, Lindsay TH, et al. Selective blockade of the capsaicin receptor TRPV1 attenuates bone cancer pain. J Neurosci. 2005;25(12):3126–3131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Wiskur BJ, Tyler K, Campbell-Dittmeyer K, Chaplan SR, Wickenden AD, van Meerveld GB. A novel TRPV1 receptor antagonist JNJ-17203212 attenuates colonic hypersensitivity in rats. Methods Find Exp Clin Pharmacol. 2010;32(8):557–564. [DOI] [PubMed] [Google Scholar]
  • 40.Metruccio MME, Wan SJ, Horneman H, et al. A novel murine model for contact lens wear reveals clandestine IL-1R dependent corneal parainflammation and susceptibility to microbial keratitis upon inoculation with Pseudomonas aeruginosa. Ocul Surf. 2019;17(1):119–133. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Pecze L, Pelsoczi P, Kecskés M, et al. Resiniferatoxin mediated ablation of TRPV1+ neurons removes TRPA1 as well. Can J Neurol Sci. 2009;36(2):234–241. [DOI] [PubMed] [Google Scholar]
  • 42.Jinks MR, Fontenot RL, Wills RW, Betbeze CM. The effects of subconjunctival bupivacaine, lidocaine, and mepivacaine on corneal sensitivity in healthy horses. Vet Ophthalmol. 2018;21(5):498–506. [DOI] [PubMed] [Google Scholar]
  • 43.Astley R, Miller FC, Mursalin MH, Coburn PS, Callegan MC. An eye on Staphylococcus aureus toxins: Roles in ocular damage and inflammation. Toxins (Basel). 2019;11(6):356. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Lee JW, Somerville T, Kaye SB, Romano V. Staphylococcus aureus keratitis: Incidence, pathophysiology, risk factors and novel strategies for treatment. J Clin Med. 2021;10(4):758. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Willcox MDP. Characterization of the normal microbiota of the ocular surface. Exp Eye Res. 2013;117:99–105. [DOI] [PubMed] [Google Scholar]
  • 46.Meseguer V, Alpizar YA, Luis E, et al. TRPA1 channels mediate acute neurogenic inflammation and pain produced by bacterial endotoxins. Nat Commun. 2014;5:3125. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Tobita N, Tsuneto K, Ito S, Yamamoto T. Human TRPV1 and TRPA1 are receptors for bacterial quorum sensing molecules. J Biochem. 2021;170(6):775–785. [DOI] [PubMed] [Google Scholar]
  • 48.Jiao H, Ivanusic JJ, McMenamin PG, Chinnery HR. Distribution of corneal TRPV1 and its association with immune cells during homeostasis and injury. Investig Ophthalmol Vis Sci. 2021;62(9):6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Zhang F, Yang H, Wang Z, et al. Transient receptor potential vanilloid 1 activation induces inflammatory cytokine release in corneal epithelium through MAPK signaling. J Cell Physiol. 2007;213(3):730–739. [DOI] [PubMed] [Google Scholar]
  • 50.Mergler S, Garreis F, Sahlmüller M, Reinach PS, Paulsen F, Pleyer U. Thermosensitive transient receptor potential channels in human corneal epithelial cells. J Cell Physiol. 2011;226(7):1828–1842. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Assas BM, Wakid MH, Zakai HA, Miyan JA, Pennock JL. Transient receptor potential vanilloid 1 expression and function in splenic dendritic cells: A potential role in immune homeostasis. Immunology. 2016;147(3):292–304. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Reilly CA, Johansen ME, Lanza DL, Lee J, Lim JO, Yosi GS. Calcium-dependent and independent mechanisms of capsaicin receptor (TRPV1)-mediated cytokine production and cell death in human bronchial epithelial cells. J Biochem Mol Toxicol. 2005;19(4):266–275. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Boonen B, Alpizar YA, Meseguer VM, Talavera K. TRP channels as sensors of bacterial endotoxins. Toxins (Basel). 2018;10(8):326. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.El Karim IA, Linden GJ, Orr DF, Lundy FT. Antimicrobial activity of neuropeptides against a range of micro-organisms from skin, oral, respiratory and gastrointestinal tract sites. J Neuroimmunol. 2008;200(1-2):11–16. [DOI] [PubMed] [Google Scholar]
  • 55.Assas BM, Miyan JA, Pennock JL. Cross-talk between neural and immune receptors provides a potential mechanism of homeostatic regulation in the gut mucosa. Mucosal Immunol. 2014;7(6):1283–1289. [DOI] [PubMed] [Google Scholar]
  • 56.Zhang M, Ma Y, Ye X, Zhang N, Pan L, Wang B. TRP (transient receptor potential) ion channel family: structures, biological functions and therapeutic interventions for diseases. Signal Transduct Target Ther. 2023;8(1):261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Du Q, Liao Q, Chen C, Yang X, Xie R, Xu J. The role of transient receptor potential vanilloid 1 in common diseases of the digestive tract and the cardiovascular and respiratory system. Front Physiol. 2019;10:1064. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Körner J, Albani S, Sudha Bhagavath Eswaran V, Roehl AB, Rossetti G, Lampert A. Sodium channels and local anesthetics—Old friends with new perspectives. Front Pharmacol. 2022;13:837088. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Hofmann ME, Andresen MC. Vanilloids selectively sensitize thermal glutamate release from TRPV1 expressing solitary tract afferents. Neuropharmacology. 2016;101:401–411. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Perner C, Flayer CH, Zhu X, et al. Substance P release by sensory neurons triggers dendritic cell migration and initiates the type-2 immune response to allergens. Immunity. 2020;53(5):1063–1077.e7. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement 1

Supplemental Figure S1. Morphological analysis of corneal immune cells using Imaris. (A) Left image: A “surface object” of each immune cell (representative image shows Lyz2+ immune cells, green) was created using a XY size of 10 μm. Center image: Another surface object was manually drawn using the red channel (or reflectance for CD11c+-YFP mice) to select the total immune cells signal above the corneal endothelium (pink). Right image: From the created endothelium, a distance transformation was performed. This created a new channel (channel 3, not shown in the image) to determine the distance of Surface 1 (Immune cells) from Surface 2 (Endothelium). Scale bars = 30 μm. (B) Left image: Immune cells were statistically color-coded to reflect sphericity ranges: Purple ≤ 0.3 = most dendriform, 0.3< >0.8, and red ≥ 8 = most circular. Center image: Immune cells were statistically color-coded to reflect ranges in volumes/sizes. Right image: Immune cells were assessed for their location in the cornea based on their mean intensity (distance) from the endothelium. Cells were statistically coded to reflect ranges in distance: Purple, 0 μm = at the endothelium, 0< >80 μm = stroma, and red ≥ 80 μm = epithelium. Scale bars = 30 μm.

media-1.tif (1.3MB, tif)
Supplement 2

Supplemental Figure S2. Increased P. aeruginosa adherence to wild-type heathy mouse corneas after bupivacaine treatment. (A) Corneas were labeled with a universal 16S rRNA-targeted FISH probe to detect background environmental bacteria in uninoculated controls and P. aeruginosa after inoculation. Representative images show P. aeruginosa inoculated corneas with increased bacterial adhesion to corneas treated with bupivacaine (0.5%) versus sham controls following hourly inoculation of ~1011 CFU/ml P. aeruginosa for 4 hours. Scale bars = 50 μm. Only bacterial channel shown. (B) Quantification of FISH-labeled bacteria on wild-type corneas after P. aeruginosa inoculation showing a ~ 2.6-fold increase in bacterial adhesion to bupivacaine treated corneas versus sham controls. Data were normalized to environmental (baseline) bacteria and expressed as a mean ± SD of bacteria per field of view. * P < 0.05 (One-way ANOVA with Tukey’s multiple comparisons).

media-2.tif (187.3KB, tif)
Supplement 3

Supplemental Video 1. Video shows how the surfaces of the corneal endothelium and immune cells were rendered using the Imaris surface function. A 3D volume image of the central cornea from a mT/mG + LysMcre hybrid WT mouse (red cell membranes; green Lyz2+ immune cells) is shown. A white surface object was generated from the endothelium signal, and the distance outside this object was transformed into a new channel, where intensity values (from low to high) indicate increasing distance from the endothelium. Then, the green surface objects were generated from the Lyz2+ signal, and distance of these cell objects from the endothelium object was measured according to the intensity values of the transformed channel.

Download video file (20.1MB, mp4)
Supplement 4

Supplemental Video 2. Video shows how surface rendered immune cells can be categorized by different properties. Firstly, the immune cell objects were color-coded by their volume, with a colormap in the lower right corner ranging from purple (smallest) to red (largest). Next, the cell objects were differently color-coded by their sphericity, from purple being most dendriform shape to red being the most spherical. Finally, the cell objects were color-coded by their distance from the endothelium object, from purple being closest to red being farthest. The image was also rotated to better visualize spatial distribution of the cells.

Download video file (19.3MB, mp4)

Articles from bioRxiv are provided here courtesy of Cold Spring Harbor Laboratory Preprints

RESOURCES