ABSTRACT
Background
Optogenetics is a cutting‐edge approach that can enable direct stimulation of gastric smooth muscle cells (SMC) by combining cell‐specific overexpression of light‐sensitive proteins with light stimulation. We previously demonstrated that direct optogenetic stimulation of gastric SMC via depolarization can restore contractility and food propulsion and could become a new treatment strategy for gastroparesis. The human receptor Neuropsin (hOPN5) enables activation of Gq signaling with UV light. Herein, we explore this new strategy for direct optogenetic stimulation of gastric SMC.
Methods
We used a transgenic mouse model expressing hOPN5 in fusion with eYFP. Antral longitudinal smooth muscle strips were used for isometric force measurements and whole stomachs for intragastric pressure measurements, comparing light stimulation to other stimuli. Adeno‐associated virus (AAV) serotypes were screened for efficiency in transducing cultured gastric SMC, and transduced cells were tested by Ca2+ imaging.
Results
hOPN5 expression was restricted to and found in ~1/3 of SMC in the stomach. UV light induced isometric force and increased intragastric pressure only in transgenic mice similarly to electrical field stimulation and reached approximately 1/3 of the force induced by global depolarization and muscarinic receptor activation. Importantly, optical stimulation remained effective in an ex vivo gastroparesis model. AAV 2.5 was by far the most effective serotype for SMC transduction, and UV light triggered Ca2+ transients in SMC expressing hOPN5.
Conclusion
hOPN5 is a new and effective tool to directly stimulate gastric SMC to control contractility with light. Thus, it is an additional and complementary approach to light‐induced membrane depolarization to restore gastric motility.
Keywords: gastric motility, gastroparesis, human Neuropsin (hOPN5), optogenetics, smooth muscle
Optogenetic stimulation enables direct and selective stimulation of smooth muscle cells and thus provides a new opportunity to restore gastric contractility in cases of gastroparesis. Herein, we demonstrate that hOPN5 is a new and effective tool acting via Gq signaling and is thus complementary to light‐induced membrane depolarization with channelrhodopsins.

Summary.
Optogenetic stimulation enables efficient and direct stimulation of gastric smooth muscle cells.
Human Neuropsin (OPN5) specifically activates Gq protein signaling and thereby induces Ca2+ transients and force generation in smooth muscle cells upon illumination with UV light (~385 nm).
In the stomach from transgenic mice expressing OPN5 only in the smooth muscle cells, UV light induces intragastric pressure increases independent of the function of the Interstitial Cells of Cajal and the enteric nervous system.
Thus, direct stimulation of smooth muscle cells with optogenetics can be achieved with a human light‐sensitive receptor providing a complementary approach to channelrhodopsin‐based membrane depolarization.
1. Introduction
Direct and selective stimulation of smooth muscle cells (SMC) within the stomach could circumvent the malfunction of the enteric nervous system (ENS) and Interstitial cells of Cajal (ICC) that are leading to dysmotility and gastroparesis [1, 2, 3] and is thus a potential approach to treat this disease. Owing to its complex pathophysiology, treatment of gastroparesis is highly challenging. To this day, none of the multiple existing treatment approaches are effective in directly and specifically targeting the gastric smooth muscle and in precisely controlling gastric contractions to restore motility.
Unfortunately, SMC are far less excitable by electrical field stimulation than neurons and striated muscles, which do express large amounts of voltage‐gated Na+ channels. Thus, to electrically stimulate SMC, voltage‐gated Ca2+ channels need to be directly excited, which requires depolarization of the membrane potential above −30 mV [4, 5]. In consequence, energy levels required to electrically excite SMC and restore motility would surpass the energy capacity of currently available batteries for stimulation over prolonged periods [6] and can co‐excite surrounding tissue, including the diaphragm and the heart. Consequently, gastric electrical stimulators, which are currently implanted in patients [6] are restricted to low energy levels. They can thus only stimulate ENS, leading to poorly understood afferent signals or efferent responses, which are intended to alleviate symptoms [7]. With active stimulation, gastric emptying is still delayed and the quality of life has not been improved consistently in clinical trials [8, 9, 10, 11]. Therapeutic approaches using prokinetic and antiemetic pharmacological agents act on multiple organ systems and are thus limited by their adverse effects [12]. In conclusion, there remains a significant unmet need for new therapeutic approaches that can preserve gastric function [1, 13, 14, 15].
Optogenetics combines genetic overexpression of light‐sensitive proteins and stimulation with light and thereby allows for the selective stimulation of a certain cell type of interest within an intact organ with high temporal and spatial precision [16]. This new technique has been used to stimulate the ENS of the colon of mice as well as ICC in transgenic mice [17, 18, 19, 20, 21, 22]. We have recently demonstrated that optogenetic stimulation using the nonselective cation channel Channelrhodopsin 2 (ChR2) allows us to directly excite SMC to generate Ca2+ transients, induce force, intragastric pressure, and finally restore food propulsion with light [23]. We used transgenic mice expressing ChR2 within the stomach only in SMC and proved that this stimulation is even effective when the ENS and ICC are not intact anymore. Importantly, this direct stimulation of SMC with light was as efficient as global depolarization via high K+ levels despite only ~1/3 of SMC expressing ChR2. Since ChR2 has a very low conductance for Ca2+ ions at physiological Ca2+ concentrations [24], light‐induced Ca2+ transients can only be explained by the activation of voltage‐gated Ca2+ channels and the generation of action potentials [25]. However, it has been reported that Ca2+ channel conductance can be diminished in diabetic gastroparesis [4]. Thus, the efficiency of membrane depolarization mediated optogenetic stimulation could be reduced in diabetic gastroparesis.
Contraction of gastric SMC can not only be induced by action potentials and Ca2+ influx from the extracellular site but also via Ca2+ released from intracellular stores through IP3 receptors activated by the Gq signaling cascade. Neuropsin (OPN5) is a light‐sensitive G protein‐coupled receptor and can be activated by UV light. OPN5 is evolutionarily well conserved from fishes to birds and humans and controls in mammals the local circadian clock in several organs such as the retina, brain, skin, testes, and hypothalamic preoptic area [26, 27, 28, 29, 30, 31, 32, 33, 34, 35]. We and others have proven that it selectively activates the Gq signaling cascade [36, 37, 38] and we have been able to demonstrate that human OPN5 (hOPN5) enables UV light‐triggered force generation in the uterus, bladder, and intestine of transgenic mice [36]. Importantly, this Gq protein‐mediated force generation is complementary to the membrane depolarization via ChR2, and it has been shown that the response to pharmacological stimulation of Gq proteins via acetylcholine binding on muscarinic receptor 3 is not reduced in gastroparesis [39].
Herein, we explore the potency of hOPN5 to control gastric contractility in a transgenic mouse model and screen for potent adeno‐associated virus (AAV) capsids to express optogenetic proteins in gastric SMC.
2. Materials and Methods
2.1. Transgenic Animal Model
All experiments were in accordance with the European Guideline for animal experiments 2010/63/EU. Transgenic animals expressing hOPN5 in fusion with eYFP under the control of the chicken‐β‐actin promoter, as described previously [36], were crossed into a CD1 background at least seven times. A total of 18 male and 22 female transgenic mice (31 ± 2 weeks) and 10 male and 4 female wild type (WT) animals from the same breeding (22 ± 3 weeks) were used as negative controls. Mice were killed by cervical dislocation, with the exception of the mice used for whole organ experiments, which were killed by decapitation after isoflurane narcosis.
2.2. Isolation of Smooth Muscle Cells
Smooth muscle tissue of 4 hOPN5 mice was carefully dissected from the explanted stomachs, cut into small pieces, and placed in ice‐cold Ca2+‐free Tyrode solution now supplemented with (in mg/mL): Papain 2 (LS003126, Worthington, USA), Trypsin‐Inhibitor 1 (T9128, Sigma‐Aldrich, Germany), Blend Collagenase 1 (C8051, Sigma‐Aldrich), Collagenase IV‐S 1 (C1889, Sigma‐Aldrich), Fraktion V Albumin 10 (8076.2, Roth, Germany) and Elastase 0.4 (20930.01, Serva, Germany) for at least 30 min at 37°C. The digested tissue was washed, strained through a 200 μm pluriStrainer (pluriSelect, Germany) and stored at 4°C. Cells were imaged within 4 h on glass coverslips. Images were taken using an Olympus IX53 inverted microscope with a Plan N 10×/0.25 Ph1 objective (Olympus, Japan) and an IDS UI‐3040CP‐M‐GL R2 camera (IDS, Germany). Cells were illuminated using an X‐Cite Xylis XT720L LED (Excelitas Technologies, Canada) in combination with a YFP ET Filter Set (Chroma, USA) for an exposure time of 300–1000 ms. To analyze the expression rate, cells were identified and marked in brightfield images, and eYFP fluorescence of the marked areas was normalized to the background signal. Only cells with an eYFP intensity > 8% above the background were counted as hOPN5 positive.
2.3. Isometric Force Measurements of Antral Smooth Muscle Strips
Stomachs were immediately explanted and placed in ice‐cold Tyrode solution. Longitudinal smooth muscle strips were cut from the antral muscle layer. Strips were placed in the vertical 20 mL Graz tissue bath (HSE, Germany) filled with Krebs solution (37°C, gassed with 95% O2/ 5% CO2) supplemented with 5 μM all‐trans retinal (ATR, Sigma‐Aldrich) and fixed between two hooks with a fine thread. Isometric force was measured with FT20 transducers (HSE) connected to a Quad Bridge Amp and a Powerlab 8/35 using the LabChart8 software (ADInstruments, Australia). Strips were pre‐stretched to 2–3 mN and given at least 30 min rest to equilibrate. Global depolarization was achieved with 60 mM KCl (high K+) and electrical field stimulation (EFS) was applied in bursts of 50 pulses at 10 Hz with 0.5–1 ms pulse width and 50–100 V by a Universal Isolated Stimulator Output (HSE) via the platinum electrodes integrated into the plastic tissue holders. Illumination was performed with a 385 nm LED within an LEDHub or a HPMOD (Omicron, Germany) controlled by the Omicron software via a 2 mm light guide (NA 0.5) placed orthogonally to the glass wall of the organ bath. Finally, samples were stimulated using 10 μM carbachol (CCh, Sigma‐Aldrich). KCl and CCh were added to the Krebs solution and washed out after a clear peak was reached. After flushing the chambers, the samples were given another 15 min to equilibrate. Responses were measured as the difference between the start of stimulation (if rhythmic spontaneous activity was present the last minimum before start of stimulation) and the maximum force within 1 min after application for KCl and CCh or 20 s after the start of EFS and illumination. To prove Gq protein activation by hOPN5, we applied 1 μM YM254890 (Bio‐Techne, USA), a specific blocker for Gq proteins [40, 41] and repeated EFS, illumination, and global depolarization after 15 min incubation. To exclude the involvement of direct or indirect neuronal activation, we used 1 μM Tetrodotoxin (TTX, Tocris, UK) and repeated EFS and illumination after 30 min incubation. Responses to stimuli performed multiple times were averaged.
2.4. Pressure Measurements of Whole Stomachs
Stomachs were explanted and kept in cooled preparation buffer. A catheter (0.96 mm, Portex, UK) was carefully inserted through the esophagus and pushed forward until the end was placed in the lumen of the antrum. To secure the catheter, a ligature was tied around the base of the esophagus. The catheter was connected to the SP 844 pressure transducer (MEMSCAP, Norway) connected to a PowerLab using the Labchart software8.1.12 (ADInstruments) and perfused with Krebs solution in a 120 mL organ bath filled with Krebs solution (37°C, gassed with 95% O2/5% CO2) supplemented with 5 μM ATR. Stomachs were given 20 min to equilibrate. Samples were stimulated by global depolarization via 60 mM KCl (high K+). EFS was applied in bursts of 59 pulses at 10 Hz with a 1 ms pulse width and 120 V by a Grass‐S8 stimulator (Grass Technologies, USA) via two platinum wire electrodes attached to the sample stage. Global illumination was achieved by three 380–390 nm LEDs (3 W, Avonec, Germany) placed on the sample stage at 120° angles. Furthermore, samples were stimulated using 10 μM CCh.
To mimic gastroparesis, 50 μM methylene blue was applied to the organ bath after CCh stimulation. After 20 min of incubation, the organ bath was flushed once, and the sample was globally illuminated with 630–640 nm LEDs (5 W, Avonec) for 3 min. After an additional 20 min rest, EFS, UV light, and KCl stimuli were repeated. Responses to stimuli performed multiple times were averaged.
2.5. Testing of AAV Serotypes
5000 SMC were seeded into each well of a 96‐well plate and incubated for 2 days at 37°C. On the day of transduction, the medium was exchanged for FBS‐free medium (HAMS DMEM/F12 (Sigma‐Aldrich) supplemented with 1% Penicillin/Streptomycin (LifeTechnologies, USA)) and the following AAV were added: AAV 1, 2, 3, 5, 6, 7, 8, 9, 10, eB, and PHP (all containing the CMV‐eGFP construct, from PANEL‐AAVSP01‐20, Vectorbuilder, USA) in increasing concentrations of 1*107, 3*107, 1*108, 3*108, 1*109, 3*109, 1*1010, and 3*1010 virus particles per well. AAV 2.5 (containing the CAG hOPN5/eYFP gene, produced by SirionBiotech, Germany) was applied in increasing concentrations of 1*105, 3*105, 1*106, 3*106, 1*107, 3*107, 1*108, and 3*108 virus particles per well. Six days afterward, cells were fixed, stained, and imaged as described below. The analysis of expression levels was performed by an individual pipeline in CellProfiler (Broad Institute, USA). Here, a global cut‐off value for pixel intensity was set for both the eGFP/eYFP and the α‐SMA fluorescence signals, which resulted in several representative images with acceptable detection rates of positively stained cells. The cut‐off value was now automatically applied to all images (three per well), and the number of pixels above the specified threshold was determined individually for each channel (GFP or SMA fluorescence) and counted as positive. The expression level in each image was obtained from the ratio of eGFP/eYFP‐positive to SMA‐positive pixels. The results from three associated images were averaged and represent the total expression rate of the respective well.
2.6. SMC Transduction and Ca2+ Imaging
Cultivated gastric murine SMC were seeded onto 22 × 22 mm glass coverslips coated with Fibronectin 10 μg/mL (F1141‐5MG, Sigma‐Aldrich) in 6‐well plates. For transduction, 50,000 murine gastric SMC were seeded in 1 mL HAMS DMEM/F12 (Sigma‐Aldrich) supplemented with 1% Penicillin/Streptomycin (LifeTechnologies, USA) and 8 × 108 AAV 2.5 (containing the CAG hOPN5/eYFP gene) virus particles (SirionBiotech). After 24 h, 1 mL of HAMS DMEM/F12 supplemented with 10% FBS Superior (Sigma‐Aldrich) and 1% Penicillin/Streptomycin was added, and 1 day later the medium was completely exchanged. For controls, 20,000 SMC were seeded in 2 mL of HAMS DMEM/F12 supplemented with 10% FBS Superior and 1% Penicillin/Streptomycin. On the 4th day after seeding, the cells were used for Ca2+ imaging.
Cells were incubated with 2 μM ATR and loaded with 5 μM Calbryte 630 (AAT Bioquest, USA) with 1× PowerLoad Concentrate (LifeTechnologies) in Tyrode solution for 70–80 min at 37°C. Imaging was performed using an inverted IX73 microscope (Olympus) equipped with a 20× objective (LUPCPLFLN20xPH/0.45, Olympus) at 35°C with constant perfusion with Tyrode solution (2 mL/min). Cells were illuminated by an LEDHub (Omicron) equipped with a UV LED (385 nm), a green light LED (500–600 nm) with a 500/20 nm bandpass filter (AHF Analysetechnik AG, Germany) and a red light LED (625 nm) with a 635/18 nm bandpass filter (AHF Analysetechnik AG). The light was transmitted by a 2 mm light guide (NA 0.5) and coupled into the microscope via a dual port microscope coupler (Cairn Research, UK). For imaging of Calbryte 630 fluorescence, red light was directed onto the objective by a BS 409/493/573/652 quadband beamsplitter (AHF Analysetechnik AG) and emission was filtered through a HC 432/515/595/730 quadband filter (AHF Analysetechnik AG). eYFP was excited with green light, and emission collected via a F46‐003 YFP ET‐Filterset (AHF Analysetechnik AG). Images were captured using an Andor Zyla sCOMS camera in combination with the Andor Solis software (Andor, Oxford Instruments, UK). Synchronization of LEDHub and camera timing was done by a PowerLab 8/35 system and the LabChart 8.1.16 Software (ad Instruments).
Cells were stimulated with UV light (385 nm, 100 ms, 240 μW/mm2). Only transgenic cells were incubated with 1 μM of YM254890 after the first UV light stimulation, and the ROI was changed. After a 10 min incubation, perfusion was restarted, and the second ROI was also stimulated using UV light. 90 s after the last UV light pulse, both WT and transgenic cells were stimulated with 50 μM Cyclopiazonic acid (CPA, Enzo Life Sciences GmbH, Germany) (flushed in via the perfusion system). For each ROI, an eYFP image was taken after the experiment.
Pictures were analyzed with the ImageJ 1.53c open‐source software (NIH, USA). Maximal F/F0 was defined as the highest peak within 20 s after UV light stimulation or 235 s after CPA of every cell. Cells with a baseline intensity of < 10% above background, as well as cells producing < 0.1 F/F0 after CPA, were excluded from analysis. Each ROI consisted of at least six cells (hOPN5 n = 13, WT n = 11) whose max. F/F0 was averaged, and the mean of this ROI was taken into account for statistical analysis.
2.7. Histology and Immunofluorescence Staining
Explanted stomachs were flushed with cooled Tyrode solution and fixed in 4% formaldehyde for 24 h. The tissue was subsequently placed in PBS (Sigma‐Aldrich) containing 20% sucrose for 48 h. Organs were cryopreserved in TissueTek (Sakura, Germany) and sectioned into 8 μM thick slices using a HM560 cryotome (Thermo Scientific, Germany). Slices were permeabilized using PBS supplemented with 0.2% Triton X (Roth) and 1:1000 DAPI (Th. Geyer, Germany) for 20 min. Primary antibodies were diluted in PBS supplemented with 5% donkey serum (Sigma‐Aldrich) and applied for 2 h at room temperature. Slices were either stained with primary antibodies against β‐III‐tubulin (BioLegend, USA, 802001, 1:800) and c‐kit (Linaris, Germany, MAK5302, 1:400) or α‐smooth muscle actin (A2547, Sigma‐Aldrich, 1:400). Subsequently, secondary antibodies conjugated to Cy3 (711‐165‐152 or 715‐165‐151, 1:400) or Cy5 (712‐175‐153, 1:400) (JacksonLab, USA) were applied together with nanobodies against eYFP (Chromotek, Germany, gb2AF488‐50, 1:400 or NanoTag, Germany, FluoTag‐X4 anti GFP AbberiorStar635P, 1:400) diluted in PBS. Pictures of cryoslices were taken using a Zeiss LSM800 confocal microscope (Zeiss, Germany) equipped with spectral multi‐alkali photomultiplier detectors, a plan apochromat 20× objective, and controlled by the ZEN 3.5 (blue edition) software (Zeiss). The pinhole was set to 1 AU (21 μm for DAPI, 23 μm for Cy2, 30 μm for Cy3, 32 μm for Cy5) and the following channel settings were employed: 405 nm laser and 400–495 nm detection wavelength for DAPI, 488 nm laser and 410–510 nm detection wavelength for Cy2, 561 nm laser and 598–700 nm detection wavelength for Cy3, 640 nm laser and 656–700 nm detection wavelength for Cy5. All channels were used with a 650 V detector gain.
Coverslips used in Ca2+ imaging as well as 96‐well plates used for AAV testing were fixed in 4% PFA for 20 min. Coverslips were stained with primary antibodies against α‐smooth muscle actin (SMA) (A2547, Sigma‐Aldrich, 1:400) diluted in PBS supplemented with 0.2% Triton X and 5% donkey serum for 2 h at room temperature. 96‐well plates were first permeabilized with 0.2% Triton X for 20 min before being incubated in PBS supplemented with 5% donkey serum and primary antibodies against GFP (Chromotek 3H9‐100, 1:400) and α‐smooth muscle actin (1:400) for 2 h at room temperature. The secondary antibodies conjugated with Cy5 (712‐175‐153, 1:400, JacksonLab) and diluted in PBS supplemented with 1:1000 DAPI were applied for 1 h at room temperature. Finally, coverslips were mounted on a glass slide using Fluoromount G (LifeTechnologies). Images of coverslips and 96‐well plates were taken using an IX83 inverted microscope (Olympus) equipped with the ORCA‐flash4.0 camera (C11440, Hamamatsu Photonics, Japan) and the MT20 illumination system controlled by the CellSens software (Olympus). Acquisition was performed with a 20× objective (UPLSAPO20X, NA: 0.75) for coverslips and a 10× objective (UPLSAPO10X, NA: 0.4) to analyze AAV transduction efficiency with the following filter settings: 387/11 excitation, 410 beamsplitter, and 440/40 emission for DAPI, 485/20, 504, and 525/30 for eYFP, 560/25, 582, and 607/36 for Cy3, and 650/13, 669, and 684/24 for Cy5.
Pictures of longitudinal antral smooth muscle strips and intact explanted stomachs from transgenic animals were taken using an AxioZoom.V16 microscope (Zeiss) equipped with an Axiocam 705, a plan Z 1.0x objective, and an HXP 200 C light source controlled by the ZEN 3.4 (blue edition) software (Zeiss). A 490–510 nm excitation filter, a 520–550 nm emission filter, as well as a 515 nm beam splitter were used for image acquisition to detect eYFP, and a 559–585 nm excitation filter, a 600–690 nm emission filter, as well as a 590 nm beam splitter for autofluorescence in intact stomachs, and a 450–490 nm excitation filter, a 500–550 nm emission filter, as well as a 495 nm beam splitter for image acquisition to detect eYFP in longitudinal smooth muscle strips. For the intact stomach, individual z‐stacks (with 82–250 μm step size) were stitched together, and the depth of focus was extended via the Zen software. Furthermore, the autofluorescence was subtracted from the eYFP signal.
2.8. Solutions
Krebs solution (in mM): NaCl 112, KCl 4.7, CaCl2 2.5, MgCl2 1.2, KH2PO4 1.2, Glucose 11.5, NaHCO3 25. Tyrode solution (in mM): NaCl 140, KCl 5.4, CaCl2 1.8, MgCl2 2, Glucose 10, HEPES 10, pH adjusted to 7.4 using NaOH. Ca2+‐free Tyrode solution (in mM): NaCl 135, KCl 5, MgCl2 1, Glucose 10, HEPES 10, pH adjusted to 7.4 using NaOH. Preparation Buffer (in mM): NaCl 145, KCl 4.5, CaCl2 0.1, NaH2PO4 1.1, MgSO4 1, EDTA 0.025, HEPES 5, pH adjusted to 7.4 using NaOH.
2.9. Statistics
Statistical Analysis was performed using the GraphPad Prism 8.2.1 software (GraphPad Software, USA). Aggregated Data is shown as the mean ± standard error of the mean. N represents the number of animals, and n is the number of individual tissue samples or coverslips indicated by the individual dots in the graphs and taken into account for the statistical analysis.
We used a two‐way ANOVA with Sidak's multiple comparison to compare hOPN5 and WT samples in isometric force measurements and intragastric pressure measurements. To compare different stimuli within the hOPN5 or WT group in isometric force measurements and intragastric pressure measurements, a two‐way ANOVA with Tukey's multiple comparison test was used. A two‐way repeated measures ANOVA with Sidak's multiple comparison test was taken to compare the isometric force measurements and intragastric pressure measurements before and after application of either TTX, YM254890 or methylene blue. To determine the EC50 values for the AAV expression rate experiments, the GraphPad Prism [Agonist] versus response—Variable slope (four parameters) function provided the best fit and for the light sensitivity analysis the GraphPad Prism [Agonist] versus response (three parameters) function was used. Comparison of light‐induced fluorescence intensity changes of WT SMC, hOPN5 SMC and hOPN5 SMC with YM254890 and comparison of resulting EC50 values between AAV were done with an ordinary one‐way ANOVA with Tukey's multiple comparison test. Light‐induced isometric force over a prolonged period was compared using a repeated measures one‐way ANOVA with Tukey's multiple comparison test. Statistical significances are indicated as: *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001, ****p ≤ 0.0001.
3. Results
3.1. Light‐Induced Force Generation
Transgenic mice expressed hOPN5 in fusion with eYFP under the control of the CAG promoter, which has a strong activity in all muscle cells [36]. Explanted stomachs showed eYFP signal equally distributed over the entire stomach in both the longitudinal and circular muscle layers (Figure 1A,B). On the cellular level, the eYFP signal was restricted to SMC, with no eYFP signal within enteric neurons or ICC (Figure 1C,D) and clearly colocalized with the membranes. Single‐cell isolation revealed eYFP expression in 38% ± 4% (N = 4) of SMC isolated from transgenic stomachs.
FIGURE 1.

hOPN5 Expression in the stomach of CAG hOPN5/eYFP mice. (A) Overview (left) of an explanted stomach and magnification of the antral part (right) showing the fluorescence signal of hOPN5/eYFP (left: Scale bar = 10 mm, right: Scale bar = 500 μm). (B) Fluorescence image of a longitudinal antral smooth muscle strip showing hOPN5/eYFP (green, scale bar = 200 μm). (C, D) Cryoslices of the gastric antrum colored with blue for nuclei, green for hOPN5/eYFP. c‐kit staining for ICCs is shown in white, β‐III‐tubulin staining for neurons in violet (C). Red is indicating anti‐α‐smooth muscle actin staining for SMC (D). Scale bars = 100 μm.
To explore the efficiency of hOPN5 to induce contractions in gastric smooth muscle, we performed isometric force measurements of antral, longitudinal smooth muscle strips and compared illumination with UV light to stimulation with EFS, global depolarization by high K+, and muscarine receptor activation by 10 μM CCh. UV light‐induced force was similar to the force after EFS and reached approximately 1/3 of the force induced by global depolarization and muscarine receptor activation. Importantly, strips isolated from WT mice did not react to UV light at all, but the magnitude of force generation was similar for all other stimuli, which excludes functional impairment of SMC due to hOPN5 overexpression (Figure 2A). Interestingly, repetitive illuminations with increasing light intensity or pulse duration showed the ability to precisely control force generation using light (Figure 2B,C) with a half maximal light intensity (eLi50) of 32 ± 7 μW/mm2 (N = 4, n = 15, Figure 2B).
FIGURE 2.

Isometric force measurements of longitudinal antral smooth muscle strips. (A) Representative force traces (left) and aggregated data (right) from hOPN5 (black, N = 7, n = 27) and WT mice (gray, N = 6, n = 24). Stimulation was performed with UV light (violet bar, 385 nm, 5 s, 1 mW/mm2), EFS (red bar, 10 Hz, 50 pulses, 1 ms, 100 V), global depolarisation by high potassium (K+; 60 mM) and CCh (10 μM). Statistical testing with a 2‐way ANOVA test and Sidak's multiple comparison test with the individual results of each strip: p (UV light) = 0.0006, all other p values comparing WT to hOPN5 mice > 0.75. (B) Representative force traces (left) and aggregated data (right, N = 4, n = 15) showing the response to UV light illumination (violet bar) with increasing light intensity (left to right: 0.001, 0.003, 0.01, 0.03, 0.1, 0.3, 1, 3 mW/mm2) at 5 s pulse length. Aggregated data are shown on the right and light sensitivity was analyzed with a hill fit (violet line). (C) Aggregated data of pulse duration to force relationship using 1 mW/mm2 light intensity (N = 4, n = 15). ***Indicats a p value for < 0.0001.
To exclude co‐activation of the ENS by light stimulation, we applied tetrodotoxin (TTX) blocking voltage‐gated Na+ channels [42] which are important for the excitation of neurons but are not expressed in SMC [5]. This nearly completely abolished the effects of EFS, confirming both efficient blockage of the ENS and the neuro‐selectivity of the applied EFS, but had no effect on UV light‐induced contractions (Figure 3A). This proves that UV light directly stimulates SMC with no detectable contribution from the ENS. Applying the highly selective Gq protein inhibitor YM254890 [40, 41], light‐induced contractions were reduced by > 80%, whereas responses to global depolarization were unaffected, thus showing that hOPN5‐induced contractions in gastric SMC are mediated by Gq signaling (Figure 3B).
FIGURE 3.

Effects of blocking Nav channels and Gq signaling. (A) Representative force traces (left) and aggregated data (right) of isometric force of hOPN5 strips before (black) and after (red) applying 1 μM TTX (N = 3, n = 12). Contractions were induced by EFS (red bar, 10 Hz, 50 pulses, 1 ms, 50 V) and UV light (violet bar, 385 nm, 5 s, 1.8 mW/mm2). Statistical testing with a repeated measures 2‐way ANOVA test and Sidak's multiple comparison test with the individual results of each strip: p (UV light) = 0.79, p (EFS) = 0.0002. (B) Representative force traces (left) and aggregated data (right) of hOPN5 strips (N = 3, n = 10) stimulated with UV light (violet bar, 385 nm, 5 s, 1 mW/mm2), EFS (red bar, 10 Hz, 50 pulses, 1 ms, 50 V) and global depolarisation by high potassium (K+; 60 mM) before (black) and after (red) applying the selective Gq protein inhibitor YM254890 (1 μM). Statistical testing with a repeated measures 2‐way ANOVA test and Sidak's multiple comparison test with the individual results of each strip: p (UV light) = 0.0006, p (EFS) = 0.0002, p (K+) = 0.28. ***Indicats a p value < 0.001.
To test whether repeated light stimulation could lead to desensitization or alteration of function, we applied a prolonged stimulation protocol with repeated light stimulation for 2 h. One illumination cycle comprised five consecutive 1 s long UV light pulses applied once per minute with 0.7 mW/mm2 and a 5 min long pause between cycles. We could not detect any change in light‐induced force over this prolonged time period (Figure 4) covering the relevant time period of gastric emptying for the digestible components of mixed meals [43, 44].
FIGURE 4.

Repeated light stimulation over a prolonged period. (A) Representative isometric force trace of longitudinal, antral smooth muscle strip from a hOPN5 mouse stimulated with UV light (violet dot, 385 nm, 1 s, 0.7 mW/mm2) once per minute for 5 min with a 5 min pause after each train of 5. This cycle was repeated 12 times. Shown is an overview of the protocol (top) with a more detailed view of the cycles at the start (black), at 1 h (red) and 2 h (blue) highlighted. (B) Overview (left) and statistical analysis (right) of averaged isometric force of hOPN5 strips over time (N = 5, n = 10). Statistical testing with a repeated measures one‐way ANOVA test and Tukey's multiple comparison test: all p > 0.20.
3.2. Intragastric Pressure Measurements
To predict how efficiently light‐induced force could restore food propulsion, we performed intragastric pressure measurements of intact, explanted stomachs and compared the effects of UV light stimulation to EFS, high K+, and CCh. We performed global illumination with UV light by placing three LEDs panoramically around the explanted stomachs inside the organ bath. Illumination with 0.2 mW/mm2 for 5 s induced pressure increases of 9.5 ± 1.4 cm H2O, which was ~40% of the pressure induced by global depolarization and muscarine receptor activation. Importantly, the UV light‐induced pressure increase was nearly 4× more compared to EFS. Again, WT stomachs reacted similarly to all stimuli except for UV light illumination, excluding functional impairment due to hOPN5 overexpression also at the whole organ level (Figure 5).
FIGURE 5.

Intragastric pressure measurements. Representative traces (left) and aggregated data (right) of intragastric pressure measurements in intact hOPN5 (N = 16) and WT (N = 8) stomachs. Stimulation was performed with panoramic UV light illumination (violet bar, 385 nm, 5 s, 0.2 mW/mm2), EFS (red bar, 10 Hz, 59 pulses, 1 ms, 120 V), global depolarisation by high potassium (K+; 60 mM) and CCh (10 μM). Statistical testing with a 2‐way ANOVA test and Sidak's multiple comparison test: p (UV) = 0.01, all other p values comparing WT to hOPN5 mice > 0.25. *Indicats a p value < 0.05.
3.3. Ex Vivo Gastroparesis Model
Since the ICC and ENS are often dysfunctional but the SMC are still intact in gastroparesis, direct optogenetic stimulation of SMC could provide a new therapeutic option for patients. To demonstrate this principle, we mimicked gastroparesis ex vivo by phototoxic lesioning after methylene blue incubation, which is predominantly taken up by ICC [45, 46]. We observed decreased efficacy for global depolarization by high K+, indicating that SMC were also mildly affected. Importantly, EFS acting via the ENS and ICC was not effective at all, whereas UV light was still able to induce pressure increases (Figure 6A). The drop in efficiency was similar for UV light and global depolarization (Figure 6B). This proves that the function of the ICC as an interface between ENS and SMC [47] was completely abolished while the direct stimulation of SMC with hOPN5 and UV light was still effective. Hence, our approach could also be effective in cases of gastroparesis.
FIGURE 6.

Ex vivo gastroparesis model. (A) Representative traces (left) and aggregated data (right) of intragastric pressure measurements of intact hOPN5 stomachs (N = 12) before and after methylene blue phototoxic lesioning. Stimulation performed as described in Figure 4. Statistical testing with a 2‐way ANOVA test: p (w/o vs. methylene blue) < 0.0001. (B) Aggregated data of intragastric pressure measurements of intact hOPN5 stomachs (N = 12) before and after methylene blue photodynamic lesioning in response to UV light and EFS normalized to the response induced by global depolarisation with high K+. Statistical testing with a repeated measures 2‐way ANOVA test and Sidak's multiple comparison test: p (UV) = 0.98, p (EFS) = 0.023. *Indicats a p value < 0.05 and **** for < 0.0001.
3.4. Screening for Efficient Gene Transfer
To overexpress optogenetic receptors in gastric SMC in humans, an efficient gene vehicle is required. Unfortunately, gene transfer into gastric SMC has not been reported so far. AAVs are versatile viral vectors for gene therapy applications, capable of carrying a ssDNA cargo of approximately 4.8 kb, that have been shown to be safe and effective in preclinical and clinical settings, making them a promising option for delivering photoreceptors into target cells. Capsid proteins of individual AAV serotypes use different receptors to enter target cells and thereby create specific tissue/organ tropism for different serotypes [48]. As a first step, we screened for the transduction efficiency of the most common AAV serotypes and AAV 2.5 in cultured SMC isolated from the antrum of WT mice. AAV 2.5 is a synthetic AAV variant created by altering the VP1‐capsid protein of AAV 2 by implementing five mutations from the VP1‐capsid protein of AAV 1 to increase the tropism for skeletal muscle [49] which also led to increased tropism for SMC of blood vessels [50]. All tested AAV serotypes were able to transduce the cultivated SMC, although with varying efficiency. Especially, AAV 2.5 was able to transduce 93% ± 1% (N = 3) of SMC at supramaximal concentration and a half maximal effective particle number, which was more than one magnitude lower than any other AAV serotypes (Figure 7).
FIGURE 7.

Transduction efficiency of different AAV serotypes in cultivated SMC. (A) Fluorescence images at day 6 post application of AAV2.5 (CAG hOPN5‐eYFP) and AAV2 (CMV eGFP) showing the rate of eYFP positive pixels (green) after applying the indicated number of virus particles. Nuclei are shown in cyan, α smooth muscle actin staining in magenta. Scale bar = 200 μm. (B) Analysis of expression rate in relation to applied virus particles on day 6 after virus application (n = 3). (C) Comparison of half‐maximal effective number of applied virus particles [log10(EC50)] of tested AAV (n = 3). Statistical testing with an ordinary one‐way ANOVA with Tukey's multiple comparison test: p < 0.0001 for AAV 2.5 versus AAV 1, 2, 6, 7, and PHP. ****Indicats a p value < 0.0001.
3.5. Ca2+ Imaging
To prove that cells expressing hOPN5 after AAV transduction can be stimulated by UV light, we set up all‐optical Ca2+ Imaging in SMC visualizing Ca2+ alteration with the red‐shifted Ca2+ dye Calbryte 630 to avoid excitation of hOPN5 by the imaging light. Upon UV light illumination, SMC expressing hOPN5 showed a clear Ca2+ transient, as seen by the fluorescence increase of the Ca2+ dye, whereas WT SMC had no reaction to UV light (Figure 8A,B). Applying 1 μM of the highly selective Gq protein inhibitor YM254890 completely abolished UV light effects, proving that UV light‐induced Ca2+ transients are mediated by Gq proteins. Importantly, WT SMC and hOPN5 SMC after YM254890 application showed a Ca2+ transient in response to the blocking of SERCA by the application of CPA, showing that they still had intact Ca2+ handling (Figure 8B). These experiments prove that AAV selected for SMC tropism can be a highly effective tool for the transduction of gastric SMC and, by combination with hOPN5, enable optogenetic control of previously WT SMC. In additional Ca2+ imaging experiments with confocal microscopy, we observed that Ca2+ transients in single hOPN5‐positive SMC were not exciting neighboring SMC (Video S1).
FIGURE 8.

OPN5 Mediated Ca2+ transients in WT murine gastric SMC after AAV2.5 transduction. (A) Representative images of hOPN5/eYFP expressing SMC (top) and control SMC (bottom). hOPN5/eYFP signal in green and anti‐α‐smooth muscle actin staining in red, nuclei shown in cyan (bar = 100 μm). (B) Representative Ca2+ traces of hOPN5/eYFP SMC, before (black) and after applying 1 μM of YM254890 (red), as well as non‐transduced SMC (WT, gray) after UV light illumination (violet dot, 100 ms, 0.24 mW/mm2) and flush in of cyclopiazonic acid (CPA, 50 μM). (C) Aggregated data of maximal light‐induced fluorescence intensity change (F/F0) in transduced (n = 13) and non‐transduced control SMC (n = 11). Statistical testing with an ordinary one‐way ANOVA and Tukey's multiple comparison test: p (hOPN5 vs. WT) < 0.0001, p (hOPN5 vs. hOPN5/YM) < 0.0001. ****Indicats a p value < 0.0001.
4. Discussion
Herein, we describe a new method to directly stimulate SMC to control gastric motility by activating Gq protein signaling. The human receptor hOPN5 specifically stimulates proteins from the Gq protein family [36, 37, 38] which we can prove for the antral strips as well as cultured SMC. We show this mechanism to be highly light sensitive with an eLi50 of ~30 μW/mm2, which is approximately three times more light sensitive compared to light stimulation of the ChR2 H134R variant, which could be explained by the intracellular signal amplification of G protein cascades. Light sensitivity is important since UV light (UV‐A, UV‐B, and UV‐C) can have toxic effects due to its DNA‐damaging properties by formation of free radicals and generation of strand breaks [51]. The extent of DNA damage is proportional to the energy content of the applied light probe with UV‐C (< 280 nm) > UV‐B (280–315 nm) > UV‐A (315–400 nm). Nevertheless, UV‐A radiation can also cause smaller amounts of DNA breaks as well as DNA‐protein and interstrand cross‐linking [52, 53, 54]. However, the most effective wavelength to activate hOPN5 (~380 nm) is at the end of the UV‐A spectrum, and hOPN5 can still be activated with blue light (< 450 nm) with reasonable light intensities [36]. Furthermore, the required stimulation frequency and duration for gastric pacemaking (3×/min, for few minutes, 5–7 times a day) and the position of the SMC layer at the outside of the stomach lower the expected required light energy. Within the 2 h long stimulation protocol, we could not detect any difference in contractile response. However, long‐term in vivo experiments are required to determine light energy thresholds for phototoxic effects in the stomach in realistic settings and especially over days, weeks, and months. One advantage of using UV light is low penetration depth and light spreading, potentially minimizing effects on structures and organs in close proximity to the target.
In our experiments, we supplemented the strips and organs with 5 μM all‐trans retinal to achieve reliable light‐induced contractions. The dependence on retinal supplementation has been reported before for hOPN5, likely since mammalian variants can only bind 11‐cis retinal [36, 37, 55, 56] and have a rather high turnover rate requiring fast substitution with new retinal molecules. However, it has been reported that OPN5 variants from nonmammalian species can directly use all‐trans retinal [37, 55, 56]. For example, the expression of the chicken OPN5 allowed in vivo stimulation of cells within the brain without retinal supplementation [37]. In the past, the difference in the kind of retinal binding between pre‐mammalian and mammalian OPN5 variants could be specified to one amino acid exchange during evolution [55]. In the future, this single amino acid exchange could combine the advantage of a predominantly human protein with less dependence on external retinal supply, but this remains to be proven for optogenetic applications. Importantly, the dependence on retinal supplementation, light sensitivity, kinetics, and a redshift of the wavelength for activation could be achieved by single amino acid exchanges, and building chimeras has already been shown for other optogenetic proteins, especially channelrhodopsins. For example, the recently described ChRmine and ChReef already enhanced the efficiency of membrane depolarization‐based stimulation by magnitudes, allowing the heart and brain to be stimulated from outside through the intact body wall [57, 58, 59, 60]. Importantly, using hOPN5 to stimulate G protein signaling is taking advantage of the intracellular signal cascade and its amplification mechanism, which is at least as potent and light sensitive compared to membrane depolarization via channelrhodopsins. Furthermore, the human origin of hOPN5 could become a significant advantage over nonhuman photoreceptors, which are much more likely to trigger an immune response in patients, potentially leading to severe side effects. On the other side, hOPN5 stimulation could only induce 1/3 of the force compared to global depolarization, which corresponds well to the expression rate in the transgenic animal model. This is also in line with the observation that we did not see spreading of Ca2+ transients to non‐expressing neighboring SMC. This suggests that Gq protein activation stays restricted to the individual cells, which is in clear contrast to depolarization‐based optogenetic stimulation using ChR2 [23].
Furthermore, UV light provides the advantage of better spatial resolution for basic research and could allow better control on sequential stimulation of different parts of the antrum to restore motility in the most physiological pattern. Regarding the demands for gene transfer, depolarization‐based and G protein signaling‐based optogenetic stimulation have opposing demands: While membrane depolarization could overcome low expression rates with high expression strength per cell, hOPN5 would have to be expressed in as many SMC as possible but likely requires less expression per cell due to the signal amplification of the G protein cascade. Our data prove the high efficacy of several AAV capsids, especially AAV 2.5, and that high expression rates can be achieved in vitro. This provides an outlook for further in vivo experiments, including the use of implantable light devices. The latter have been recently demonstrated with successful stimulation for 2 weeks in the bladder [61] and up to 8 days in the colon [62]. Optimizing the optogenetic proteins, efficient gene transfer, and the development of specialized light devices are the key steps toward translation into clinics. Here we demonstrate that using the human receptor hOPN5 is one additional and complementary method with unique advantages.
Author Contributio ns
D.Z., M.V., T.B., and R.P. designed the experiments. D.Z., M.V., J.R., A.W., U.S., R.P., and T.B. performed and analyzed the experiments. All authors contributed to writing and agreed to the final version of the manuscript.
Disclosure
Parts of this work have been previously presented at conferences [63].
Conflicts of Interest
The authors declare no conflicts of interest.
Supporting information
Video S1. Confocal Ca2+ imaging with single cell illumination of cultivated murine gastric SMC transduced with an adeno‐associated virus to express hOPN5/eYFP. Representative video of hOPN5/eYFP expressing SMC showing hOPN5/eYFP signal in green and Calbryte 630 Ca2+ dye in red. SMC were seeded on Fibronectin coated coverslips and experiments were performed on Day 9 after transduction using a Zeiss LSM800 confocal microscope equipped with spectral multi‐alkali photomultiplier detectors, a plan apochromat 20× objective and controlled by the ZEN 3.5 (blue edition) software. The pinhole was set to 4 AU (104 μm for eYFP, 119 μm for Calbryte 630) and the 405 nm laser was used for hOPN5 stimulation on a small, localized region within the eYFP positive cell indicated by a 10 μm circle (scan speed 10, 38 iterations). Calbryte 630 was imaged with a frame rate of 0.5 Hz after the eYFP was imaged (superposed later on the video).
Acknowledgments
We thank Melanie von Ahlen, Anna Magerhans, Sören Petzke, and Katrin Porath for their technical assistance. We acknowledge support by the Open Access Publication Funds of Göttingen University. Open Access funding enabled and organized by Projekt DEAL.
Funding: This work was funded by the Göttingen Promotionskolleg für Medizinstudierende (Else Kröner‐Fresenius‐Stiftung 2017_Promotionskolleg.04, D.Z.), the German Centre for Cardiovascular Research (DZHK, doctoral scholarship to A.W.), the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation: priority program (SPP) 1926: 315212873), Germany's Excellence Strategy (EXC 2067/1‐390729940, T.B. and A.W.), CRC1002 (193793266, T.B.), IRTG1816 (200857327, T.B., U.S., and M.V.), and by the Else Kröner Fresenius Foundation via the Else Kröner Fresenius Center for Optogenetic Therapies, as well as the University of Rostock (FORUN 899004).
Data Availability Statement
The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.
References
- 1. Camilleri M., Chedid V., Ford A. C., et al., “Gastroparesis,” Nature Reviews. Disease Primers 4, no. 1 (2018): 41, 10.1038/s41572-018-0038-z. [DOI] [PubMed] [Google Scholar]
- 2. Chikkamenahalli L. L., Pasricha P. J., Farrugia G., and Grover M., “Gastric Biopsies in Gastroparesis: Insights Into Gastric Neuromuscular Disorders to Aid Treatment,” Gastroenterology Clinics of North America 49, no. 3 (2020): 557–570, 10.1016/j.gtc.2020.04.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Grover M., Farrugia G., Lurken M. S., et al., “Cellular Changes in Diabetic and Idiopathic Gastroparesis,” Gastroenterology 140, no. 5 (2011): 1575–1585, 10.1053/j.gastro.2011.01.046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Li S. and Chen J. D. Z., “Decreased L‐Type Calcium Current in Antral Smooth Muscle Cells of STZ‐Induced Diabetic Rats,” Neurogastroenterology and Motility 26, no. 7 (2014): 971–979, 10.1111/nmo.12351. [DOI] [PubMed] [Google Scholar]
- 5. Kuriyama H., Osa T., and Tasaki H., “Electrophysiological Studies of the Antrum Muscle Fibers of the Guinea Pig Stomach,” Journal of General Physiology 55, no. 1 (1970): 48–62, 10.1085/jgp.55.1.48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Soffer E. E., “Gastric Electrical Stimulation for Gastroparesis,” Journal of Neurogastroenterology and Motility 18, no. 2 (2012): 131–137, 10.5056/jnm.2012.18.2.131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Yin J., Abell T. D., McCallum R. W., and Chen J. D. Z., “Gastric Neuromodulation With Enterra System for Nausea and Vomiting in Patients With Gastroparesis,” Neuromodulation 15, no. 3 (2012): 224–231, 10.1111/j.1525-1403.2012.00429.x. [DOI] [PubMed] [Google Scholar]
- 8. McCallum R. W., Lin Z., Forster J., Roeser K., Hou Q., and Sarosiek I., “Gastric Electrical Stimulation Improves Outcomes of Patients With Gastroparesis for up to 10 Years,” Clinical Gastroenterology and Hepatology 9, no. 4 (2011): 314–319, 10.1016/j.cgh.2010.12.013. [DOI] [PubMed] [Google Scholar]
- 9. McCallum R. W., Dusing R. W., Sarosiek I., Cocjin J., Forster J., and Lin Z., “Mechanisms of Symptomatic Improvement After Gastric Electrical Stimulation in Gastroparetic Patients,” Neurogastroenterology and Motility 22, no. 2 (2010): 161–167, 10.1111/j.1365-2982.2009.01389.x. [DOI] [PubMed] [Google Scholar]
- 10. Ducrotte P., Coffin B., Bonaz B., et al., “Gastric Electrical Stimulation Reduces Refractory Vomiting in a Randomized Crossover Trial,” Gastroenterology 158, no. 3 (2020): 506–514, 10.1053/j.gastro.2019.10.018. [DOI] [PubMed] [Google Scholar]
- 11. Lin Z., Forster J., Sarosiek I., and McCallum R. W., “Treatment of Diabetic Gastroparesis by High‐Frequency Gastric Electrical Stimulation,” Diabetes Care 27, no. 5 (2004): 1071–1076, 10.2337/diacare.27.5.1071. [DOI] [PubMed] [Google Scholar]
- 12. Camilleri M., Parkman H. P., Shafi M. A., Abell T. L., Gerson L., and American College of Gastroenterology , “Clinical Guideline: Management of Gastroparesis,” American Journal of Gastroenterology 108, no. 1 (2013): 18–37, 10.1038/ajg.2012.373. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Pasricha P. J., Yates K. P., Nguyen L., et al., “Outcomes and Factors Associated With Reduced Symptoms in Patients With Gastroparesis,” Gastroenterology 149, no. 7 (2015): 1762–1774, 10.1053/j.gastro.2015.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. U.S. Department of Health and Human Services Food and Drug Administration Center for Drug Evaluation and Research (CDER) , “Gastroparesis: Clinical Evaluation of Drugs for Treatment Guidance for Industry,” (2019), https://www.fda.gov/regulatory‐information/search‐fda‐guidance‐documents/gastroparesis‐clinical‐evaluation‐drugs‐treatment‐guidance‐industry.
- 15. Ingrosso M. R., Camilleri M., Tack J., Ianiro G., Black C. J., and Ford A. C., “Efficacy and Safety of Drugs for Gastroparesis: Systematic Review and Network Meta‐Analysis,” Gastroenterology 164, no. 4 (2023): 642–654, 10.1053/j.gastro.2022.12.014. [DOI] [PubMed] [Google Scholar]
- 16. Hegemann P. and Nagel G., “From Channelrhodopsins to Optogenetics,” EMBO Molecular Medicine 5, no. 2 (2013): 173–176, 10.1002/emmm.201202387. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Zhao S. and Tong W., “An Optogenetics‐Based Approach to Regulate Colonic Contractions by Modulating the Activity of the Interstitial Cells of Cajal in Mice,” Journal of Neurogastroenterology and Motility 29, no. 3 (2023): 388–399, 10.5056/jnm22181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Spencer N. J., Travis L., Hibberd T., Kelly N., Feng J., and Hu H., “Effects of Optogenetic Activation of the Enteric Nervous System on Gastrointestinal Motility in Mouse Small Intestine,” Autonomic Neuroscience 229 (2020): 102733, 10.1016/j.autneu.2020.102733. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Perez‐Medina A. L. and Galligan J. J., “Optogenetic Analysis of Neuromuscular Transmission in the Colon of ChAT‐ChR2‐YFP BAC Transgenic Mice,” American Journal of Physiology. Gastrointestinal and Liver Physiology 317, no. 5 (2019): G569–G579, 10.1152/ajpgi.00089.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Spencer N. J., Hibberd T., Feng J., and Hu H., “Optogenetic Control of the Enteric Nervous System and Gastrointestinal Transit,” Expert Review of Gastroenterology & Hepatology 13, no. 4 (2019): 281–284, 10.1080/17474124.2019.1581061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Hibberd T. J., Feng J., Luo J., et al., “Optogenetic Induction of Colonic Motility in Mice,” Gastroenterology 155, no. 2 (2018): 514–528, 10.1053/j.gastro.2018.05.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Zhao S., Zhang T., and Tong W., “Application of Optogenetics in the Study of Gastrointestinal Motility: A Mini Review,” Journal of Innovative Optical Health Sciences 16, no. 3 (2023): 2230013, 10.1142/S1793545822300130. [DOI] [Google Scholar]
- 23. Vogt M., Schulz B., Wagdi A., et al., “Direct Optogenetic Stimulation of Smooth Muscle Cells to Control Gastric Contractility,” Theranostics 11, no. 11 (2021): 5569–5584, 10.7150/thno.53883. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Nagel G., Szellas T., Huhn W., et al., “Channelrhodopsin‐2, a Directly Light‐Gated Cation‐Selective Membrane Channel,” Proceedings of the National Academy of Sciences of the United States of America 100, no. 24 (2003): 13940–13945, 10.1073/pnas.1936192100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Sanders K. M., Koh S. D., Ro S., and Ward S. M., “Regulation of Gastrointestinal Motility—Insights From Smooth Muscle Biology,” Nature Reviews. Gastroenterology & Hepatology 9, no. 11 (2012): 633–645, 10.1038/nrgastro.2012.168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Nakane Y., Ikegami K., Ono H., et al., “A Mammalian Neural Tissue Opsin (Opsin 5) is a Deep Brain Photoreceptor in Birds,” Proceedings of the National Academy of Sciences of the United States of America 107, no. 34 (2010): 15264–15268, 10.1073/pnas.1006393107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Nguyen M. T. T., Vemaraju S., Nayak G., et al., “An Opsin 5‐Dopamine Pathway Mediates Light‐Dependent Vascular Development in the Eye,” Nature Cell Biology 21, no. 4 (2019): 420–429, 10.1038/s41556-019-0301-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Nieto P. S., Valdez D. J., Acosta‐Rodríguez V. A., and Guido M. E., “Expression of Novel Opsins and Intrinsic Light Responses in the Mammalian Retinal Ganglion Cell Line RGC‐5. Presence of OPN5 in the Rat Retina,” PLoS One 6, no. 10 (2011): e26417, 10.1371/journal.pone.0026417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Ota W., Nakane Y., Hattar S., and Yoshimura T., “Impaired Circadian Photoentrainment in Opn5‐Null Mice,” iScience 6 (2018): 299–305, 10.1016/j.isci.2018.08.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Sugiyama T., Suzuki H., and Takahashi T., “Light‐Induced Rapid Ca2+ Response and MAPK Phosphorylation in the Cells Heterologously Expressing Human OPN5,” Scientific Reports 4 (2014): 5352, 10.1038/srep05352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Buhr E. D., Yue W. W. S., Ren X., et al., “Neuropsin (OPN5)‐Mediated Photoentrainment of Local Circadian Oscillators in Mammalian Retina and Cornea,” Proceedings of the National Academy of Sciences of the United States of America 112, no. 42 (2015): 13093–13098, 10.1073/pnas.1516259112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Liufu S., Pan J., Sun J., et al., “OPN5 Regulating Mechanism of Follicle Development Through the TSH‐DIO2/DIO3 Pathway in Mountain Ducks Under Different Photoperiods,” Frontiers in Physiology 13 (2022): 813881, 10.3389/fphys.2022.813881. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Kojima D., Mori S., Torii M., Wada A., Morishita R., and Fukada Y., “UV‐Sensitive Photoreceptor Protein OPN5 in Humans and Mice,” PLoS One 6, no. 10 (2011): e26388, 10.1371/journal.pone.0026388. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Zhang K. X., D'Souza S., Upton B. A., et al., “Violet‐Light Suppression of Thermogenesis by Opsin 5 Hypothalamic Neurons,” Nature 585, no. 7825 (2020): 420–425, 10.1038/s41586-020-2683-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Díaz N. M., Lang R. A., Van Gelder R. N., and Buhr E. D., “Wounding Induces Facultative Opn5‐Dependent Circadian Photoreception in the Murine Cornea,” Investigative Ophthalmology & Visual Science 61, no. 6 (2020): 37, 10.1167/iovs.61.6.37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Wagdi A., Malan D., Sathyanarayanan U., et al., “Selective Optogenetic Control of Gq Signaling Using Human Neuropsin,” Nature Communications 13, no. 1 (2022): 1765, 10.1038/s41467-022-29265-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Dai R., Yu T., Weng D., et al., “A Neuropsin‐Based Optogenetic Tool for Precise Control of Gq Signaling,” Science China. Life Sciences 65, no. 7 (2022): 1271–1284, 10.1007/s11427-022-2122-0. [DOI] [PubMed] [Google Scholar]
- 38. Sato K., Yamashita T., and Ohuchi H., “Mammalian Type Opsin 5 Preferentially Activates G14 in Gq‐Type G Proteins Triggering Intracellular Calcium Response,” Journal of Biological Chemistry 299, no. 8 (2023): 105020, 10.1016/j.jbc.2023.105020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Xue L. and Suzuki H., “Electrical Responses of Gastric Smooth Muscles in Streptozotocin‐Induced Diabetic Rats,” American Journal of Physiology 272 (1997): G77, 10.1152/ajpgi.1997.272.1.G77. [DOI] [PubMed] [Google Scholar]
- 40. Takasaki J., Saito T., Taniguchi M., et al., “A Novel Galphaq/11‐Selective Inhibitor,” Journal of Biological Chemistry 279, no. 46 (2004): 47438–47445, 10.1074/jbc.M408846200. [DOI] [PubMed] [Google Scholar]
- 41. Schrage R., Schmitz A. L., Gaffal E., et al., “The Experimental Power of FR900359 to Study Gq‐Regulated Biological Processes,” Nature Communications 6 (2015): 10156, 10.1038/ncomms10156. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Lee C. H. and Ruben P. C., “Interaction Between Voltage‐Gated Sodium Channels and the Neurotoxin, Tetrodotoxin,” Channels 2, no. 6 (2008): 407–412, 10.4161/chan.2.6.7429. [DOI] [PubMed] [Google Scholar]
- 43. Feldman M., Smith H. J., and Simon T. R., “Gastric Emptying of Solid Radiopaque Markers: Studies in Healthy Subjects and Diabetic Patients,” Gastroenterology 87, no. 4 (1984): 895–902. [PubMed] [Google Scholar]
- 44. Goyal R. K., Guo Y., and Mashimo H., “Advances in the Physiology of Gastric Emptying,” Neurogastroenterology and Motility 31, no. 4 (2019): e13546, 10.1111/nmo.13546. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Liu L. W., Thuneberg L., and Huizinga J. D., “Selective Lesioning of Interstitial Cells of Cajal by Methylene Blue and Light Leads to Loss of Slow Waves,” American Journal of Physiology 266 (1994): G485–G496, 10.1152/ajpgi.1994.266.3.G485. [DOI] [PubMed] [Google Scholar]
- 46. Povstyan O. V., Gordienko D. V., Harhun M. I., and Bolton T. B., “Identification of Interstitial Cells of Cajal in the Rabbit Portal Vein,” Cell Calcium 33, no. 4 (2003): 223–239, 10.1016/s0143-4160(02)00197-5. [DOI] [PubMed] [Google Scholar]
- 47. Sung T. S., Hwang S. J., Koh S. D., et al., “The Cells and Conductance Mediating Cholinergic Neurotransmission in the Murine Proximal Stomach,” Journal of Physiology 596, no. 9 (2018): 1549–1574, 10.1113/JP275478. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Naso M. F., Tomkowicz B., Perry W. L., and Strohl W. R., “Adeno‐Associated Virus (AAV) as a Vector for Gene Therapy,” BioDrugs 31, no. 4 (2017): 317–334, 10.1007/s40259-017-0234-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Bowles D. E., McPhee S. W. J., Li C., et al., “Phase 1 Gene Therapy for Duchenne Muscular Dystrophy Using a Translational Optimized AAV Vector,” Molecular Therapy 20, no. 2 (2012): 443–455, 10.1038/mt.2011.237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Lompré A. M., Hadri L., Merlet E., et al., “Efficient Transduction of Vascular Smooth Muscle Cells With a Translational AAV2.5 Vector: A New Perspective for In‐Stent Restenosis Gene Therapy,” Gene Therapy 20, no. 9 (2013): 901–912, 10.1038/gt.2013.13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Cadet J. and Wagner J. R., “DNA Base Damage by Reactive Oxygen Species, Oxidizing Agents, and UV Radiation,” Cold Spring Harbor Perspectives in Biology 5, no. 2 (2013): a012559, 10.1101/cshperspect.a012559. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Perrier S., Hau J., Gasparutto D., Cadet J., Favier A., and Ravanat J. L., “Characterization of Lysine‐Guanine Cross‐Links Upon One‐Electron Oxidation of a Guanine‐Containing Oligonucleotide in the Presence of a Trilysine Peptide,” Journal of the American Chemical Society 128, no. 17 (2006): 5703–5710, 10.1021/ja057656i. [DOI] [PubMed] [Google Scholar]
- 53. Crean C., Uvaydov Y., Geacintov N. E., and Shafirovich V., “Oxidation of Single‐Stranded Oligonucleotides by Carbonate Radical Anions: Generating Intrastrand Cross‐Links Between Guanine and Thymine Bases Separated by Cytosines,” Nucleic Acids Research 36, no. 3 (2008): 742–755, 10.1093/nar/gkm1092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Silerme S., Bobyk L., Taverna‐Porro M., Cuier C., Saint‐Pierre C., and Ravanat J. L., “DNA‐Polyamine Cross‐Links Generated Upon One Electron Oxidation of DNA,” Chemical Research in Toxicology 27, no. 6 (2014): 1011–1018, 10.1021/tx500063d. [DOI] [PubMed] [Google Scholar]
- 55. Yamashita T., Ono K., Ohuchi H., et al., “Evolution of Mammalian Opn5 as a Specialized UV‐Absorbing Pigment by a Single Amino Acid Mutation,” Journal of Biological Chemistry 289, no. 7 (2014): 3991–4000, 10.1074/jbc.M113.514075. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Sato K. and Ohuchi H., “Molecular Property, Manipulation, and Potential Use of Opn5 and Its Homologs,” Journal of Molecular Biology 436, no. 5 (2024): 168319, 10.1016/j.jmb.2023.168319. [DOI] [PubMed] [Google Scholar]
- 57. Hsueh B., Chen R., Jo Y., et al., “Cardiogenic Control of Affective Behavioural State,” Nature 615, no. 7951 (2023): 292–299, 10.1038/s41586-023-05748-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Chen R., Gore F., Nguyen Q. A., et al., “Deep Brain Optogenetics Without Intracranial Surgery,” Nature Biotechnology 39, no. 2 (2021): 161–164, 10.1038/s41587-020-0679-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Zerche M., Hunniford V., Alekseev A., et al., “Efficient and Sustained Optogenetic Control of Nervous and Cardiac Systems,” (2023), 10.1101/2023.11.17.567544. [DOI]
- 60. Kishi K. E., Kim Y. S., Fukuda M., et al., “Structural Basis for Channel Conduction in the Pump‐Like Channelrhodopsin ChRmine,” Cell 185, no. 4 (2022): 672–689, 10.1016/j.cell.2022.01.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Jang T. M., Lee J. H., Zhou H., et al., “Expandable and Implantable Bioelectronic Complex for Analyzing and Regulating Real‐Time Activity of the Urinary Bladder,” Science Advances 6, no. 46 (2020): eabc9675, 10.1126/sciadv.abc9675. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62. Efimov A., Hibberd T., Wang Y., et al., “Remote Optogenetic Control of the Enteric Nervous System and Brain‐Gut Axis in Freely‐Behaving Mice Enabled by a Wireless, Battery‐Free Optoelectronic Device,” Biosensors and Bioelectronics 258 (2024): 116298, 10.1016/j.bios.2024.116298. [DOI] [PubMed] [Google Scholar]
- 63.“Abstract Supplement for NeuroGASTRO 2023, August 31st–September 2nd 2023, Bucharest, Romania,” Neurogastroenterology and Motility 35, no. S2 (2023): e14637, 10.1111/nmo.14637. [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Video S1. Confocal Ca2+ imaging with single cell illumination of cultivated murine gastric SMC transduced with an adeno‐associated virus to express hOPN5/eYFP. Representative video of hOPN5/eYFP expressing SMC showing hOPN5/eYFP signal in green and Calbryte 630 Ca2+ dye in red. SMC were seeded on Fibronectin coated coverslips and experiments were performed on Day 9 after transduction using a Zeiss LSM800 confocal microscope equipped with spectral multi‐alkali photomultiplier detectors, a plan apochromat 20× objective and controlled by the ZEN 3.5 (blue edition) software. The pinhole was set to 4 AU (104 μm for eYFP, 119 μm for Calbryte 630) and the 405 nm laser was used for hOPN5 stimulation on a small, localized region within the eYFP positive cell indicated by a 10 μm circle (scan speed 10, 38 iterations). Calbryte 630 was imaged with a frame rate of 0.5 Hz after the eYFP was imaged (superposed later on the video).
Data Availability Statement
The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.
