Abstract
Rationale
High-resolution imaging of the heart in vivo is challenging due to the difficulty in accessing the heart and the tissue motion caused by the heartbeat.
Objective
Here, we describe a suction-assisted endoscope for visualizing fluorescently labeled cells and vessels in the beating heart tissue through a small incision made in the intercostal space.
Methods and Results
A suction tube with a diameter of 2-3 mm stabilizes the local tissue motion safely and effectively at a suction pressure of 50 mmHg. Using a minimally invasive endoscope integrated into a confocal microscope, we performed fluorescence cellular imaging in both normal and diseased hearts in live mice for an hour per session repeatedly over a few weeks. Real-time imaging revealed the surprisingly rapid infiltration of CX3CR1+ monocytes into the injured site within several minutes after acute myocardial infarction (MI).
Conclusions
The time-lapse analysis of flowing and rolling (patrolling) monocytes in the heart and the peripheral circulation provide evidence that the massively recruited monocytes come first from the vascular reservoir and later from the spleen. The imaging method requires minimal surgical preparation and can be implemented into standard intravital microscopes. Our results demonstrate the applicability of our imaging method for a wide range of cardiovascular research.
Keywords: Myocardial infarction, leukocytes, imaging, circulation, monocyte
INTRODUCTION
Acute myocardial infarction (MI) is the leading cause of morbidity and mortality worldwide. The human heart has a limited ability to self-repair damaged cardiac tissue. Therefore, a central theme in cardiovascular research is to understand a variety of cellular processes involved in the limited, yet important, natural healing processes and to develop strategies to overcome the problem. Chronic inflammation drives atherosclerosis progression 1, and immune cells recruited following plaque ruptures 2 play significant roles in phagocytosis of dead or dying tissue, myofibroblast accumulation, angiogenesis, and deposition of collagen. Immune cells are also important factors in regenerative medicine, such as stem cell therapy and cellular reprogramming 3-5. Despite the advances in molecular biology and genetics, our understanding of the recruitment and complex roles of immune cells at various stages of cardiovascular disease are limited. A new experimental technique that can significantly enhance our ability to investigate the complex and dynamic interaction of cardiovascular and immune systems in experimental animals in vivo would have a high impact to the field of cardiovascular research, particularly for developing new therapeutic or preventive strategies for acute MI.
The mouse is a valuable in vivo model of human disease because of the availability of genetic tools and the similarity of the cardiovascular and immune system in the humans and mice. Current cardiovascular studies of mammalian hearts, however, have been hampered by the difficulty in examining various cellular events that occur in the heart in vivo6-7. Radiological whole-body imaging modalities, such as computed tomography and magnetic resonance imaging, do not offer cellular-level resolution and sensitivity. Histology is a valuable tool, but this ex vivo analysis technique provides only static snapshot information of in vivo cellular processes, such as cellular trafficking and differentiation, that vary dynamically over time and heterogeneously in space. Over the past decade, intravital optical microscopy has emerged as a powerful tool in animal research. The high resolution and sensitivity of fluorescence microscopy, which cannot be achieved with radiologic whole-body imaging, are critical for its widespread use in diverse research fields including immunology, cancers, neuroscience, and stem cell biology 8-10. Despite their earlier success with open-heart vasculature imaging 11, scientists in cardiovascular research have been largely unable to benefit from this technology due to the difficulty of obtaining minimally invasive access to the heart and due to the motion artifacts induced by the heartbeat. To overcome these obstacles, several motion-correction techniques have been developed, including image registration 12-13, temporal gating 14, and motion-suppression devices such as implanted windows, glue, and centimeter-wide suction rings 15. Although each of these approaches has been useful for imaging specific tissues at micro to macroscopic resolutions, cellular imaging of the beating heart tissue poses a unique challenge because of the magnitude of the tissue movement and the micron-scale stabilization required for a subcellular resolution. Additionally, the approach should be minimally invasive to enable repeated imaging for longitudinal studies.
We here present a miniature suction-assisted endoscope suitable for imaging cellular events in the beating heart of the mouse. The endoscope employs a suction tube device that can locally stabilize the tissue underneath it without causing detrimental effects and permits cellular-level imaging. The endoscope can achieve access to the outer surface of the heart through a small incision made in the skin and in the intercostal muscle between the ribs without breaking the bones. We have previously reported in vivo imaging of the beating heart and cardiac grafts transplanted in the abdominal cavity using similar optical probes 16. The endoscopic approach solves the problem of the more invasive open-heart microscopy demonstrated by Li et al. 17. Our approach is distinctly different from the recent technique demonstrated by Lee et al. 18, where a small-diameter objective lens was firmly glued onto the heart tissue. The fixation of the lens not only limits the field of view but also can cause considerable perturbations. Thus far, none of the previous techniques allowed repeated, time-lapse imaging of the heart tissue. We report here an imaging technique enabling minimally perturbed, longitudinal imaging of the heart. We demonstrate repeated imaging of immune cells and vessels in normal healthy hearts over a period of weeks and of monocytes circulating in the blood and infiltrating in infarcted hearts. As an application of this unique capability, we performed an in vivo imaging study with a mouse model of acute MI. We measured the numbers of monocytes at various locations in the heart from the onset of MI. Quantitative image analysis revealed unexpected kinetics in the monocyte infiltration in the very early phase of MI within minutes after occlusion. Our study provides fresh insights into the time-dependent origins of the monocytes that infiltrate into infarcted myocardium.
METHODS
Optical probe
The imaging core was fabricated in house by attaching three graded-index (GRIN) rod lenses: (Models: ILW-1/4 pitch, SRS-1/2 pitch, ILW-1/4 pitch, NSG America, Inc.) 19-21. The triplet lens endoscope was then reinforced with a stainless steel metal sleeve (O.D.=1.25 mm). The probe had a 1× magnification and a length of 20 mm. The suction tube was fabricated by cutting stainless steel tubing (NSG America). The smaller tube had diameters of 1.4 mm (I.D.) and 1.8 mm (O.D.), and the larger one was 2.7 mm (I.D.) and 2.9 mm (O.D.). The lens probe was inserted into the suction tube through a small cut made in the side of the latex rubber tubing (I.D.=1.8 mm). The incision was closed automatically by the elasticity of the rubber, which seals the suction channel. The rubber tube was connected to a miniature vacuum pump (NF5, KNF Nueberger) via a vacuum gauge, a liquid absorber, and a valve. UV epoxy was applied to the bottom of the suction tube to form an epoxy O-ring, which tightened the vacuum seal and protected the tissue. The imaging platform was a previously described custom-built video-rate confocal fluorescence microscope previously described 22-23. The system acquired three-color images (512×512 pixels) at 30 frames per second. The images are displayed in real time on a computer monitor and streamed to a hard disk. The custom data acquisition program can also display and record images averaged over an arbitrary number of consecutive frames in real time.
Measurement of the effects of suction
We used a standard rigid-body translational motion correction algorithm based on cross correlation 24 to calculate the amplitude and the direction of the shift between individual frames (e.g. see Fig. 1B). The peak-to-peak shift during the heartbeat was used as the metric to measure the amount of tissue motion as a function of the suction pressure. The motion information was also used to align individual frames to reduce the residual motion artifacts by frame averaging (over 1-3 s) to enhance the signal-to-noise ratio and to make large-area mosaic images 23. This software correction method was effective only once the tissue motion was reduced to less than a few tens of microns. To measure blood flow, we injected fluorescently labeled red blood cells (or polystyrene micro beads) intravenously and analyzed the number of flowing cells per second and their speeds in the bloodstream from the acquired video images. Red blood cells were isolated from a mouse and stained with DiI fluorescent dye. The blood pressure and heart rate were measured with a CODA monitor (Kent Scientific, CT) using a volume pressure sensor with a mouse-tail cuff.
Figure 1. Motion-stabilizing endomicroscopy.
(A) Schematic of suction-assisted endoscopy. (B) Horizontal shifts of the heart tissue with suction (red curve) at a pressure of 50 mmHg and without suction (gentle pressure was applied; blue curve) measured from cross correlation analysis of a movie. The tissue movement was reduced to 3 μm by suction. (C) The number of cells flowing per second in the bloodstream in two different vessels (blue and purple circles) in the renal capsule at suction pressure levels from zero to 150 mmHg. (D) Images of blood vessels on the anterior surface of the heart in vivo. The vessels are visualized by intravenously injected FITC-dextran. (E) Images of MHC class II+ antigen-presenting cells in a MHC-IIgfp/+ mouse in vivo. In D and E, the image is an average of 90 frames acquired in 3 s (~23 heart beats), and scale bars indicate 50 μm.
Animals
B6.129P-Cx3cr1tm1Litt/J (Cx3cr1gfp/gfp) mice 25 (Jackson Laboratories) and LysMgfp/gfp mice 26 were obtained. Cx3cr1gfp/+ mice were generated by breeding Cx3cr1gfp/gfp mice with C57BL/6J mice. Cx3cr1gfp/+ mice have one Cx3cr1 allele replaced with cDNA encoding Egfp and were used to track monocytes. LysMgfp/+ mice have one LysM allele replaced with cDNA encoding Egfp and were used to track neutrophils. MHC-IIgfp/+ mice expressing the MHC class II molecule infused into EGFP were used to visualize antigen-presenting cells. Tie2gfp/+ mice expressing the Tie2 receptor infused into EGFP were used to visualize blood endothelial cells. The mice were 8-10 weeks old. The institutional subcommittee on research animal care at Massachusetts General Hospital approved all animal studies.
Animal model of MI
Each mouse was anesthetized with inhalational isoflurane prior to preoperative skin preparation. The thorax was shaved using electric clippers. Betadine solution was applied to the shaved area and allowed to dry. The mouse was placed on a plate heated by a silicone rubber heater to maintain the body temperature. Once the mouse was fully anesthetized, it was intubated and mechanically ventilated with oxygen supplemented with 2% isoflurane. The mouse underwent a thoracotomy in the fourth left intercostal space to obtain access to the heart, and the infarct was created by permanent ligation of the left anterior descending (LAD) coronary artery.
In vivo heart imaging
A three-axis translation stage was used to move the mouse so that the center of the laser scanning pattern emitted from the endoscope was aligned with the tissue incision made in the chest. The suction valve was initially open (i.e., a suction pressure of 0 mmHg). Once the probe made an initial contact with the heart tissue, the animal stage was moved up slightly (0.6-0.8 mm) to induce gentle physical pressure on the tissue underneath the endoscope. The suction valve was then closed slowly until the suction pressure reached to the desired level. Once the suction was established, the animal stage was lowered slowly to confirm stable suction of the tissue by the suction tube and to minimize or prevent potential tissue damage from the additional mechanical pressure applied prior to suction. For wide-area imaging, the mouse stage was translated in the horizontal direction to move the tissue and the suction tube together. Fluorescence movies were recorded continuously during the scan. Once the scan was completed over an area, large-area images were obtained using mosaic registration. We used a suction tube with a sufficiently long length (15.2 mm) so that the tube tilted easily with a small torque and the maximum tilt angle was small (less than two degrees). The suction pressure was maintained during translation due to the deformation of the elastic rubber tube that connects the suction tube and the optical probe. The focal plane in the tissue was adjusted remotely by controlling the distance of the microscope objective to the imaging probe. To visualize the blood vessels, 100 μl of tetramethylrhodamine-isothiocyanato(TRITC)-Dextran (5 mg/ml) was injected intravenously and excited at 532 nm. Alternatively, Fluorescein-isothiocyanate(FITC)-Dextran was used and excited at 491 nm.
Cell counting and cellular perfusion rate
To determine the number of CX3CR1+ or LysM+ cells, images were acquired at approximately 30-50 different arbitrarily chosen sites with a FOV of 250 μm each. At each imaging site, z-stack images were acquired at the depths from 0 to 100 μm by changing the imaging plane. The image acquisition took approximately 2 minutes (+/− 1 minutes) at each time point (n=3-5). The number of cells was counted with an image segmentation algorithm based on the brightness and sizes of the fluorescent objects. The average number of cells was counted and divided by the image volume (i.e. 250 μm x 250 μm x 100 μm) to calculate the cell density per milligram (or 1 mm3 in volume) of tissue. The number of flowing and rolling cells in the blood vessels was counted manually from the acquired video-rate movies. The cellular perfusion rate, or flux, was defined as the total number of moving cells per unit volume per unit time (i.e., divided by the recording time period).
Immunohistochemistry and flow cytometry
For histological analysis, tissues were harvested from the heart of the Cx3cr1gfp/+ mice before and after MI at day 5 and prepared for frozen sections. We also performed MI surgery or sham surgery on C57BL/6J wild-type mice and harvested the heart tissues from various regions after applying different suction pressures. The sections were stained with anti-CD11b or anti-GFP antibody and counterstained with DAPI to observe the nuclei. For the flow cytometry, the heart and spleen tissues were harvested from the control and the MI mice. The tissues were digested in an enzyme mixture and passed through a cell strainer. The single cell suspensions were stained with the following antibodies: CD11b-APC-Cy7, B220-PE, CD49b-PE, CD90-PE, Ly-6G-PE, NK1.1-PE, Ter119-PE, and F4/80-PE-Cy7 (BD Biosciences). Monocyte subsets were identified as CD11bhigh (B220/CD49b/CD90/Ly-6G/NK1.1/Ter119)low F4/80low. The flow cytometry was performed using a multi-color flow cytometer (FACSAria, BD Biosciences).
Statistical analysis
The measured values were presented as mean ± standard deviation. P-values were calculated using the Student-Newman-Keuls test. A difference is considered significant when P < 0.05.
RESULTS
Miniature suction endoscope
The endoscope consisted of a lens probe and an outer suction tube (Figure 1A). The probe was made of triplet graded-index (GRIN) lenses 21, 27 with an outer diameter (O.D.) of 1 mm and a stainless steel sleeve with an O.D. of 1.25 mm. The assembled probe was integrated into a real-time laser-scanning confocal microscope 22 using mechanical mounts 19 (Online Figure I). The GRIN lens probe had a typical resolution of 1 μm in the lateral dimension and 10 μm in the axial dimension, a typical penetration depth of up to 100 μm, and an intrinsic field of view (FOV) of 250 μm (approximately a quarter of the diameter of the GRIN lens) 21. The probe was inserted into a stainless steel suction tube through a small incision made in a rubber tube that connects the suction tube to a micro-diaphragm pump. The suction system employed a vacuum gauge, a flow valve, and a liquid absorber (Online Figure II). We used two different suction tubes. The narrower tube had outer and inner diameters of 1.8 mm (O.D.) and 1.4 mm (I.D.), and the larger suction tube, which was used for wide area imaging, had an O.D. of 2.9 mm and an I.D. of 2.7 mm. Either tube was sufficiently thin to be inserted through a small incision (2 to 6 mm) made in the intercostal space.
Suction-assisted motion stabilization
During the cardiac cycle, the surface of the heart normally moves up to 1-2 mm in both the vertical and lateral directions (Online Video IA). It was possible to suppress much of the tissue movement by pressing the tissue surface with the flat surface of the lens probe. However, the residual movement, typically more than 100 μm, is too large to avoid significant blurring (due to by lateral motion) and blinking artifacts (due to by vertical motion) (Online Videos I). In principle, the movement can be further decreased with increasing pressure to achieve micron-scale stabilization, but such attempts almost always result in a complete blockage of the blood flow and apparent tissue damage within a few minutes.
We have found that suction is generally a safer and more effective method for mechanical stabilization. After positioning our endoscope above the target tissue, we moved the animal stage up while monitoring the real-time fluorescence images until the physical contact between the tissue and the lens probe was steady. Once the desired suction pressure level was reached and the movement was suppressed, the animal stage was lowered slightly to avoid the potential tissue damage caused by sustained physical pressure. We found that a suction pressure of 50 mmHg reduces the movement of the heart tissue to less than 5-10 μm (Figure 1B and Online Videos I). For abdominal organs, such as the kidney, spleen, liver, and intestine, 50 mmHg was sufficient to restrict the tissue motion to less than 2-5 μm (Online Figure III). Once the movement is reduced to less than 10 μm, motion correction by image registration can be used to reduce the residual motion artifacts. The total suction force exerted on the tissue by a 1.8-mm tube was calculated to be only 0.6 mN at 50 mmHg. When a 2.9-mm tube is used, the estimated suction force was 33 mN, which is equivalent to a weight of only 3.4 g distributed on an area of 5 mm2 (Online Video II).
Effect of suction on local blood perfusion
The applied suction pressure was in fact comparable to the normal arterial blood pressure (~120 mmHg) driving the blood flow. To investigate the effect of the suction on the local perfusion, we injected DiI-labeled red blood cells into the tail vein and measured their flowing speed in the bloodstream in both the heart and the kidney where the measurement of baseline flow was possible without the suction pressure. At a suction pressure of up to 100 mmHg, no apparent changes in the flow were observed compared to the baseline at 0 mmHg (Figure 1C and Online Figure VI). As the pressure was increased to 150 mmHg, the blood flow in the small capillaries near the tissue surface began to be compromised. At a pressure larger than 150 mmHg, a noticeable reduction in the flow speed was observed in the heart as well as in other organs (Online Videos III). Because the suction-induced external pressure within the tissue decreases quickly with depth, we expected that for the vessels located beyond the imaging depth (i.e., >100 μm), the blood flow would be intact even at 150 mmHg.
Once the local tissue is held stably, the focal plane of the endoscope can be remotely adjusted by simply translating the axial position of an objective lens using a micro-translational stage 21, 27. The suction-assisted endoscope allowed us to visualize the microvasculature and the individual cells in the beating heart (Figure 1D and E) and in the breathing lung with minimal motion artifacts (Online Figure V).
Minimal perturbation of normal physiology
To determine whether the suction produces any undesirable influence on the cardiac physiology, we measured the blood pressure and the heart rate of mice (n=4) using a tail cuff sensor during imaging. The measured systolic blood pressure was 120 ± 3 mmHg, and the diastolic blood pressure was 91 ± 2 mmHg, independent of the suction pressure as it varied from 0 to 300 mmHg (Online Figure VI). The measured heart rate was also invariant at 457 ± 11 beats per minute, independent of a suction pressure of up to 300 mmHg (Online Figure VII). We also examined the histological tissue sections obtained after prolonged suction for one hour at 50 mmHg and observed no signs of tissue damage. Only at an extreme suction level of 300 mmHg was minor hemorrhaging observed (Online Figure VIII). Finally, we performed immunohistochemistry analysis and confirmed that suction did not induce inflammation (Online Figure IX). All of our measurements suggest that local suction at 50-100 mmHg causes minimal perturbations to the heart, both at the local tissue and the organ levels.
Wide-area scan using a suction tube
Once the suction tube is placed at a specific location, it is possible to scan a wider area than the intrinsic FOV (250 μm) of the probe. We achieved the scanning by moving the tissue and the suction tube with respect to the lens probe fixed to the microscope head by controlling the mouse stage with a motorized translation stage (Figures 2A and Online Figure X). The maximum scan area is a circle with a diameter of 1.7 mm (equal to the I.D. of the 2.9-mm tube minus the O.D. of the probe plus the intrinsic FOV) (Figure 2B). The tissue can be moved in the horizontal direction continuously in a raster or other scan pattern (Online Video IV). Alternatively, images can be obtained at discrete locations with some overlap (typically >30%) between the adjacent frames and converted to a mosaic by image processing. Using this stepwise scan, we acquired several hundred images of the coronary vasculature in a Tie2gfp/+ mouse with double fluorescent staining and obtained a two-color mosaic image spanning an area of 1.2 mm by 1.2 mm (a diagonal length of 1.7 mm) (Figure 2C).
Figure 2. Wide-area imaging.
(A) Illustration of scanning operation. Moving the suction tube and the tissue with respect to the stationary probe changes the imaging site. (B) Schematic of the heart and the maximum scan area for a given tube diameter. (C) A mosaic image of the blood vasculature on the left ventricle of the heart visualized using green fluorescent protein in Tie2+ cells (cyan pseudo color) and intravenously injected anti-CD31 antibody conjugated with Alexa 647 (red pseudo color). Suction pressure, 50 mmHg. The dotted circle (white) indicates the 250-μm field of view (FOV) of the lens probe. Inset, 3x enlarged view. The image spans 1.2 mm by 1.2 mm. Scale bar, 100 μm.
Longitudinal heart imaging
A compelling advantage of minimally invasive endoscopic imaging is the ability to visualize the same tissue site repeatedly over the course of time. Longitudinal heart imaging is challenging because excessive perturbation to the vital organ and the chest cavity can easily cause complications, leading to the death of the animal. To demonstrate repeated time-lapse imaging, we used Cx3cr1gfp/+ knock-in mice 25, in which CX3CR1+ cells express the enhanced green fluorescence protein (EGFP). The CX3CR1+ cells in the bloodstream are predominantly monocytes, although the fractalkine receptor is also expressed by other rare leukocytes 28-29. We imaged CX3CR1+ cells in the heart of a Cx3cr1gfp/+ mouse at intervals of 1-10 days. At the completion of each imaging session, the chest incision was closed with a suture, and the animal was kept in the cage until the next imaging session. The scanning method described above was used to locate the same region, which was defined using the vasculature pattern as a landmark (Figure 3). During each imaging session, which typically lasted no more than an hour, we observed many round-shaped CX3CR1+ monocytes flowing, rolling, or crawling in the blood vessels, and very few of the cells were found outside the vessels. We also observed virtually stationary monocytes during each imaging session, almost all of which were located in the blood vessels (Figure 3D). The density of these stationary CX3CR1+ cells was measured to be approximately 1,000 cells per mm3 (i.e., per mg of tissue). The longitudinal images show that these stationary cells actually move over the course of days. Nevertheless, there was no apparent change in the average number or the morphology of these cells in the span of 2 weeks, which indicates that our imaging procedure did not induce any significant inflammatory response.
Figure 3. Longitudinal imaging.
(A-C) Images of CX3CR1+ cells (green) and blood vessels (red) in the same region of the heart of a Cx3cr1gfp/+ mouse, acquired at three imaging sessions: (A) day 0, (B) day 6, and (C) day 14. (D) Enlarged images of the small areas marked by dotted squares in A and B. Scale bars, 50 μm.
Imaging tissue-resident myeloid cells
We imaged various tissues in different organs in Cx3cr1gfp/+ mice and in LysMgfp/+ mice 26 in the normal physiological condition. Compared to the low population of CX3CR1+ monocytes in the heart, CX3CR1+ cells were found in much higher density in the spleen and the lung (Online Figure XIA). The CX3CR1+ monocytes in the spleen had an approximately roundish morphology. In contrast, the majority of the CX3CR1+ cells (presumably non-monocytes) in the lung and the liver had non-round irregular shapes (Online Figure XIB). In the LysMgfp/+ mice, the density of LysM+ neutrophils26 was also high in the spleen and the lung but low in the heart and the liver (Online Figure XIC). Most of the LysM+ cells had round shapes in all the organs examined (Online Figure XID).
Monocyte infiltration after acute myocardial infarction
We used the imaging method to study the infiltration of immune cells into the heart after acute myocardial infarction (MI). To induce acute MI, we ligated the left anterior descending (LAD) coronary artery. In Cx3cr1gfp/+ mice at 3 hours after the ligation, we observed a dramatic increase of CX3CR1+ cells in the infarcted area, whereas a remote site maintained the normal population level (Figure 4A). In the remote site, most monocytes were round and present in the blood vessels, as in the control and sham-operated mice. In the infarcted region, many monocytes were observed, and the majority of the cells had spiky shapes and was apparently located outside the occluded blood vessels (Figure 4B). The border area had both spiky cells in the tissue and round monocytes in the bloodstream (Online Figures XII and XIII). To visualize monocytes immediately following the onset of MI, we also performed the ligation in situ while the animal was imaged with the endoscope. Time-lapse imaging revealed the kinetics of early monocyte infiltration (Figure 5A). The number of CX3CR1+ cells in the infarct increased from 1,000 to 5,000 cells per mg of tissue in 5 min and to 10,000 cells in 30 min. Repeated imaging sessions on day 1 and day 6 showed that the number of cells increased continuously but at reduced rates, whereas the cell number in the remote site did not change significantly until 1 day after MI (Figure 5B and Online Figure XIV).
Figure 4. Analysis of various regions of infracted myocardium.
(A) Schematic of infarcted heart and fluorescence images of various regions. Images show CX3CR1+ monocytes (green) and blood vessels (red) at 3 hours post MI in the border, remote, and infarct areas, and at the boundary of the infarct, indicated by the autofluorescence of the suture (yellow dotted lines) used for ligation. (B) Number of CX3CR1+ monocytes per mm3 (mg) of tissue recruited into the infarct at 3 hours post MI. Round cells are defined as cells with circular or elliptical shapes with an aspect ratio of less than 3:1. Non-round cells have aspect ratios greater than 3:1. Cells overlapping with a vessel by more (less) than 80% were considered to be inside (outside) the vessel. Error bars, standard deviations (n=3-5). Scale bars, 50 μm. *, P < 0.05; **, P < 0.01; ***, P < 0.001 versus control.
Figure 5. Quantification of immune cell infiltration into myocardial infarct.
(A) Images showing the infiltrated CX3CR1+ monocytes, acquired from a Cx3cr1gfp/+ mouse in three imaging sessions on day 0 (0-30 min), day 1, and day 6 post MI. (B) Number of CX3CR1+ cells in the infarct (red) and remote (blue) areas. (C) Time-lapse images of LysM+ neutrophils in the heart tissue in a LysMgfp/+ mouse in three imaging sessions on day 0, day 1, and day 6 post MI. (D) Number of neutrophils in the infarct (yellow) and remote (green) areas. (E) Number of infiltrated monocytes (red squares) and neutrophils (orange squares) immediately after acute MI. Dotted line, curve fit based on power dependence on time (∞t0.38). Error bars, standard deviations (n=3-5). Scale bars, 50 μm. *, P < 0.05; **, P < 0.01; ***, P < 0.001 versus 0 minute. #, P < 0.05; ##, P < 0.01 versus 0 minute.
In the LysMgfp/+ mice after acute MI, the number of LysM+ neutrophils reached its maximum on day 1 and decreased gradually afterwards (Figures 5C, D), consistent with previous results obtained by flow cytometry 29. There was no obvious difference between the morphology of the neutrophils at the infarct and the remote sites. During the initial 30 min after MI, the rate of increase of monocytes outpaced those of neutrophils (Figure 5E), which is contrary to the prevailing conventional notion that the recruitment of monocytes is preceded by that of neutrophils in MI 2.
Imaging rolling and flowing monocytes in the circulation
It is well known that inflammatory monocytes infiltrate ischemic tissue early after MI 2, but the massive recruitment we observed within minutes after the onset of ischemia was unexpected. To determine the origin of the cells, we examined the CX3CR1+ monocytes in the bloodstream more carefully. In the normal state, video-rate imaging showed the monocytes rapidly flowing in coronary arterioles at atypical speed of 2 mm/s. In the coronary venules, we observed cells flowing at a speed of 0.4-1.2 mm/s. In addition to these flowing cells, we found many monocytes rolling (15-50 μm/s) or crawling (<15 μm/s) along the vessel walls (Figure 6A and Online Video V). To our knowledge, this is the first time patrolling behavior of monocytes is reported in the heart. Although rarely seen, some flowing cells exhibited rod shapes (with an aspect ratio up to 4:1) elongated in the direction of the flow (Figure 6B and Online Figure XV). The flux or perfusion rate of the flowing and the rolling monocytes was equivalent to a supply of approximately 3,000 and 2,500 cells, respectively, per minute per 1 mg of tissue in both the control and the sham-operated animals (Figure 6C-D). It is interesting to find so many rolling monocytes, which are presumably patrolling during steady-state immune surveillance 28, in the coronary vessels in the normal state without any stimulus. We calculated that the combined flux rates of flowing and rolling monocytes were sufficient to account for the rapid increase in the number of monocytes in the infarct after acute MI (Figure 5E). From these results, we hypothesized that the patrolling monocytes 28 in the circulation are the primary source of the monocytes found in the infarct immediately following the MI, and we further investigated this possibility.
Figure 6. Flowing and rolling monocytes in normal and infarcted hearts (border).
(A) Movie frames showing monocytes rolling (cyan arrow) and crawling (yellow arrow) in a coronary venule (red, visualized by TRITC-dextran) in the heart tissue. (B) Trace of rod-shaped monocytes flowing in the coronary venule. Scale bars, 50 μm in A and B. (C) Flux of flowing monocytes in circulation in the heart after sham operation (sham; left) and after acute MI (MI; right). (D) Flux of rolling monocytes in blood vessels in the sham-operated (left) and infarcted (right) hearts. Error bars, standard deviation (n=3-5). *, P < 0.05; **, P < 0.01; ***, P < 0.001 versus 0 minute.
Origin of early-infiltrating monocytes
We found that after the onset of MI, both the absolute and relative numbers of flowing and rolling monocytes change considerably in the border area (Figure 6C-D). The perfusion rate of flowing monocytes increased significantly and continuously for one hour, while the number of rolling monocytes decreased significantly. The rapid transition from rolling to flowing might be a mechanism to accelerate the infiltration into the infarct. The number of flowing monocytes tripled after 30 min, suggesting the onset of monocytes from a second source, which is most likely the spleen 31-32.
We also measured the number of monocytes in the peripheral vessels in the skin (Online Video VI). The perfusion rates of flowing and rolling CX3CR1+ cells were approximately 5,000 and 6,000 cells/min/mg, respectively, in both the control and the sham-operated animals (Figure 7A-B). These rates decreased by nearly 50% at 15 to 30 min after MI but recovered to the normal levels after 60 min (Figures 7A-B). The initial depletion of the circulating monocytes could be caused by their recruitment into the infarcted heart tissue. The subsequent replenishment was attributed to the release of monocytes from the spleen 32.
Figure 7. Flowing and rolling monocytes in peripheral circulation.
(A) Flux of flowing monocytes in the peripheral circulation, measured in the ear skin after sham operation (left) and acute MI (right) animals. (B) Flux of rolling monocytes in blood vessels in the sham-operated (left) and MI (right) animals. Error bars, standard deviation (n=3-5). *, P < 0.05; **, P < 0.01; ***, P < 0.001 versus 0 minute. +, P < 0.05 versus 15 minute.
The results suggest that the monocytes at the infarct site are first recruited from the vascular pool and then from the splenic reservoir after 15-30 minutes later, which is much earlier than previously thought 32. To support this conclusion, we performed flow cytometry with the tissues harvested as early as 3 hours post MI and measured an approximately 10-fold increase in the number of monocytes in the infarcted region and a considerable decrease in monocytes (approximately 200,000 cells) in the spleen (Online Figure XVI). We used conventional immunohistochemistry to confirm the increase of the monocytes in the heart tissue after MI, although it was difficult to determine the morphology of the cells (Online Figure XVII).
DISCUSSION
Endoscopic microscopy allowed in vivo time-lapse quantitation and analysis of the number and phenotypes of labeled cells and their movement and interaction in the heart tissue. Such information cannot be easily obtained with ex vivo histology, which gives only snapshot information at specific time points and specific tissue slices. Compared to whole-body animal imaging, intravital optical microscopy provides much higher resolution and single-cell sensitivity, which is critical to gain mechanistic insights at the cellular level. Recent progress in the ability to suppress the cardiac tissue motion demonstrated the possibility of using intravital microscopy in cardiovascular research in small animals 17-18. Our work presented here represents a significant technological advance by developing a truly minimally invasive tool that allows high-resolution longitudinal imaging of the heart tissue in mice. Although the maximum imaging depth of fluorescence microscopy is limited to 100 μm, the penetration depth is sufficient to access to the majority of major coronary vessels and capillaries and the myocardium.
A key enabling technique employed in the endoscopic probe is the suction stabilizer. Suction has been widely used for grabbing tissues with minimal damages. It is well known that an excessive suction pressure can cause tissue damage and affect normal physiology 15. We have found an optimal arrangement using narrow suction tube (2-3 mm in diameter) at adequate pressure levels (50-100 mmHg), and have shown that the optical probe does not cause any significant changes in heart rates and blood flows and does not provoke imaging-induced immune reactions even during repeated longitudinal imaging over several weeks. Furthermore, we have developed a simple method to allow a relatively large tissue area (>1 mm2) to be scanned, overcoming the intrinsic disadvantage of small-diameter lenses as in the previous demonstrations 18. Imaging through intercostal space is much less invasive than open-heart microscopy previously performed with a standard objective lens or a small-diameter objective firmly glued onto the heart tissue. The fixation of the lens not only limits the field of view to a fixed location but also can cause unwanted biological effects. Thus far, none of the previous techniques allowed repeated, time-lapse imaging of the heart tissue. Our suction-assisted endomicroscopy offers a minimally-invasive effective solution, permitting repeated survival imaging. The endoscope can be easily implemented in a commercially available microscope platform 19.
Using this imaging technique, we have observed an unexpectedly abundant number of patrolling (rolling) monocytes in the native heart in the steady state (Figure 6A-D), which had never been reported before. This finding provides direct evidence that there are active immune surveillance mechanisms in the heart. Active immune surveillance in others organs such as skin, intestine, and lung, that are constantly exposed to antigens and toxins are well known 15, 28. It is rather interesting to find such vigorous patrolling behavior of immune cells in the heart that resides deep inside the body and is protected by physical defensive barriers from harmful extrinsic factors. In fact, we found that the number of patrolling monocytes observed in the steady state was sufficient to account for the rapid increase in the number of monocytes in the infarct within 15-30 minutes after acute MI (Figures 5A-B and 6C-D).
We also observed a rapid transition of monocytes from rolling to flowing status in the border after the onset of MI (Figure 6C-D). Although the detailed mechanism driving this change is unknown, the transition from rolling to flowing monocytes can expedite the infusion of monocytes into the infarct area, and therefore it may be a recruiting mechanism orchestrated by the infarcted tissue. We have shown that the patrolling and flowing monocytes in the blood stream are the first pool of monocytes infiltrating into the infarct immediately after the onset of MI. Considering the significant number of these cells and their potential roles in the critical time following the onset of ischemic injury, we call it a vascular reservoir, distinguished from the well known splenic reservoir 32, which is activated in a later phase.
In the current paradigm, it is believed that a massive recruitment of neutrophils occurs within a day after MI, followed by the infiltration of monocytes and macrophages, including pro-inflammatory monocytes with phagocytic and proteolytic functions promoting the digestion of the infarcted tissue and the removal of necrotic debris 2. Reparative monocytes inducing myofibroblast accumulation, angiogenesis, and the deposition of collagen are known to arrive later 2. Increased monocyte traffic in acute MI also promotes atherosclerosis 31. However, little had been known about the inflammatory and reparative responses at earlier stages immediately after MI. Our study, enabled by the minimally invasive suction-assisted endoscope, provided a new insight into the trafficking of immune cells at the onset of acute MI. A timely and balanced immune response orchestrated by monocytes and neutrophils is thought to be crucial for optimal healing of MI. Insufficient or exaggerated recruitment of monocytes could delay wound healing, and delayed infiltration by reparative monocytes might impair the formation and remodeling of granulation tissue. The early-infiltrating monocytes may actively attract neutrophils to the infarct, as observed in lung inflammation 33. Our finding of early monocyte infiltration after MI suggests therapeutic strategies based on the swift and selective control of monocyte infiltration.
Supplementary Material
Novelty and Significance.
What Is Known?
Intravital fluorescence microscopy is a valuable tool in basic and preclinical studies using animal models.
Monocytes appear to be key players in the development of heart failure and infarct healing.
What New Information Does This Article Contribute?
A novel combination of a suction system and an endoscope implemented within an intravital microscope allows for the study of cellular dynamics in the beating heart in vivo longitudinally.
There appears to be a robust population of monocytes with patrolling behavior in the normal heart as a mechanism of immune surveillance.
A massive infiltration of monocytes occurs in the very early phase following myocardial infarction (MI), and these cells come from the “vascular reservoir” initially (<15 min) and then from the splenic reservoir.
Intravital microscopy has emerged as a valuable tool in various studies with animal models. However, the cardiovascular disease research has not readily benefited from this technology due to lack of effective methods. We have introduced a miniature suction-assisted optical probe that has allowed in vivo longitudinal visualization of the same region in the beating heart over weeks. This breakthrough approach has led to the quantification of flowing and rolling monocytes in normal and infarcted cardiac tissues. This is the first time patrolling behavior of monocytes has been reported in the heart. This work also presents the discovery of an early immune cell infiltration after acute MI. We have found that massive monocyte infiltration occurs much earlier than previously thought, and these cells come from the “vascular reservoir” initially. This finding fills a significant gap in our current understanding and provides new insights into early regulation of inflammation and tissue repair following ischemic heart injury. Our work represents a significant technological advance over other methods for heart imaging points the way to how intravital microscopy can now be used in the study of cardiovascular disease.
ACKNOWLEDGMENTS
We thank Mark Myunghwan Choi, Woei-Ming Lee, and Seonghoon Kim for technical help in microscopy and Thomas Graf and Klaus Ley for generous gift of LysMgfp/gfp mice.
SOURCES OF FUNDING This work was supported by grants from MGH ECOR Postdoctoral Fellowship, National Institutes of Health (U54CA143837, R01AI081734, P41EB015903), and the Ministry of Education, Science and Technology of Korea (WCU R31-2008-000-10071-0, 2011-0009503, and WCI 2011-001).
Nonstandard Abbreviations
- MI
myocardial infarction
- GRIN
graded index
- O.D
outer diameter
- I.D.
inner diameter
- LAD
left anterior descending
- TRITC
tetramethylrhodamine-isothiocyanato
- FITC
fluorescein-isothiocyanate
- FOV
field of view
- EGFP
enhanced green fluorescence protein
Footnotes
DISCLOSURES None.
This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
REFERENCES
- 1.Woollard KJ, Geissmann F. Monocytes in atherosclerosis: Subsets and functions. Nat Rev Cardiol. 7:77–86. doi: 10.1038/nrcardio.2009.228. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Nahrendorf M, Pittet MJ, Swirski FK. Monocytes: Protagonists of infarct inflammation and repair after myocardial infarction. Circulation. 121:2437–2445. doi: 10.1161/CIRCULATIONAHA.109.916346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Anversa P, Kajstura J, Leri A, Bolli R. Life and death of cardiac stem cells: A paradigm shift in cardiac biology. Circulation. 2006;113:1451–1463. doi: 10.1161/CIRCULATIONAHA.105.595181. [DOI] [PubMed] [Google Scholar]
- 4.Chien KR, Domian IJ, Parker KK. Cardiogenesis and the complex biology of regenerative cardiovascular medicine. Science. 2008;322:1494–1497. doi: 10.1126/science.1163267. [DOI] [PubMed] [Google Scholar]
- 5.Ieda M, Fu JD, Delgado-Olguin P, Vedantham V, Hayashi Y, Bruneau BG, Srivastava D. Direct reprogramming of fibroblasts into functional cardiomyocytes by defined factors. Cell. 142:375–386. doi: 10.1016/j.cell.2010.07.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Eriksson EE. Intravital microscopy on atherosclerosis in apolipoprotein e-deficient mice establishes microvessels as major entry pathways for leukocytes to advanced lesions. Circulation. 124:2129–2138. doi: 10.1161/CIRCULATIONAHA.111.030627. [DOI] [PubMed] [Google Scholar]
- 7.Lucitti JL, Jones EA, Huang C, Chen J, Fraser SE, Dickinson ME. Vascular remodeling of the mouse yolk sac requires hemodynamic force. Development. 2007;134:3317–3326. doi: 10.1242/dev.02883. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Miller MJ, Wei SH, Parker I, Cahalan MD. Two-photon imaging of lymphocyte motility and antigen response in intact lymph node. Science. 2002;296:1869–1873. doi: 10.1126/science.1070051. [DOI] [PubMed] [Google Scholar]
- 9.Fan Z, Spencer JA, Lu Y, Pitsillides CM, Singh G, Kim P, Yun SH, Toxavidis V, Strom TB, Lin CP, Koulmanda M. In vivo tracking of ‘color-coded’ effector, natural and induced regulatory t cells in the allograft response. Nat Med. 16:718–722. doi: 10.1038/nm.2155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Fujisaki J, Wu J, Carlson AL, Silberstein L, Putheti P, Larocca R, Gao W, Saito TI, Lo Celso C, Tsuyuzaki H, Sato T, Cote D, Sykes M, Strom TB, Scadden DT, Lin CP. In vivo imaging of treg cells providing immune privilege to the haematopoietic stem-cell niche. Nature. 474:216–219. doi: 10.1038/nature10160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Chilian WM, Eastham CL, Marcus ML. Microvascular distribution of coronary vascular resistance in beating left ventricle. Am J Physiol. 1986;251:H779–788. doi: 10.1152/ajpheart.1986.251.4.H779. [DOI] [PubMed] [Google Scholar]
- 12.Greenberg DS, Kerr JN. Automated correction of fast motion artifacts for two-photon imaging of awake animals. J Neurosci Methods. 2009;176:1–15. doi: 10.1016/j.jneumeth.2008.08.020. [DOI] [PubMed] [Google Scholar]
- 13.Schroeder JL, Luger-Hamer M, Pursley R, Pohida T, Chefd’hotel C, Kellman P, Balaban RS. Short communication: Subcellular motion compensation for minimally invasive microscopy, in vivo: Evidence for oxygen gradients in resting muscle. Circ Res. 106:1129–1133. doi: 10.1161/CIRCRESAHA.109.211946. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Wiesmann F, Szimtenings M, Frydrychowicz A, Illinger R, Hunecke A, Rommel E, Neubauer S, Haase A. High-resolution mri with cardiac and respiratory gating allows for accurate in vivo atherosclerotic plaque visualization in the murine aortic arch. Magn Reson Med. 2003;50:69–74. doi: 10.1002/mrm.10500. [DOI] [PubMed] [Google Scholar]
- 15.Looney MR, Thornton EE, Sen D, Lamm WJ, Glenny RW, Krummel MF. Stabilized imaging of immune surveillance in the mouse lung. Nat Methods. 8:91–96. doi: 10.1038/nmeth.1543. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Kim P, Tocco G, Kant CD, Benichou G, Yun SH. In vivo fluorescence endoscopic celular imaging of internal organs in mice. CLEO/IQEC; 2009. CMCC4. [Google Scholar]
- 17.Li W, Nava RG, Bribriesco AC, Zinselmeyer BH, Spahn JH, Gelman AE, Krupnick AS, Miller MJ, Kreisel D. Intravital 2-photon imaging of leukocyte trafficking in beating heart. J Clin Invest. 122:2499–2508. doi: 10.1172/JCI62970. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Lee S, Vinegoni C, Feruglio PF, Fexon L, Gorbatov R, Pivoravov M, Sbarbati A, Nahrendorf M, Weissleder R. Real-time in vivo imaging of the beating mouse heart at microscopic resolution. Nat Commun. 3:1054. doi: 10.1038/ncomms2060. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Kim JK, Lee WM, Kim P, Choi M, Jung K, Kim S, Yun SH. Fabrication and operation of grin probes for in vivo fluorescence cellular imaging of internal organs in small animals. Nat Protoc. 7:1456–1469. doi: 10.1038/nprot.2012.078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Jung JC, Schnitzer MJ. Multiphoton endoscopy. Opt Lett. 2003;28:902–904. doi: 10.1364/ol.28.000902. [DOI] [PubMed] [Google Scholar]
- 21.Kim P, Puoris’haag M, Cote D, Lin CP, Yun SH. In vivo confocal and multiphoton microendoscopy. J Biomed Opt. 2008;13:010501. doi: 10.1117/1.2839043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Veilleux I, Spencer JA, Biss DP, Cote D, Lin CP. In vivo cell tracking with video rate multimodality laser scanning microscopy. Ieee Journal of Selected Topics in Quantum Electronics. 2008;14:10–18. [Google Scholar]
- 23.Kim P, Chung E, Yamashita H, Hung KE, Mizoguchi A, Kucherlapati R, Fukumura D, Jain RK, Yun SH. In vivo wide-area cellular imaging by side-view endomicroscopy. Nature Methods. 2010;7:303–305. doi: 10.1038/nmeth.1440. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Guizar-Sicairos M, Thurman ST, Fienup JR. Efficient subpixel image registration algorithms. Optics Letters. 2008;33:156–158. doi: 10.1364/ol.33.000156. [DOI] [PubMed] [Google Scholar]
- 25.Jung S, Aliberti J, Graemmel P, Sunshine MJ, Kreutzberg GW, Sher A, Littman DR. Analysis of fractalkine receptor cx(3)cr1 function by targeted deletion and green fluorescent protein reporter gene insertion. Molecular and Cellular Biology. 2000;20:4106–4114. doi: 10.1128/mcb.20.11.4106-4114.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Faust N, Varas F, Kelly LM, Heck S, Graf T. Insertion of enhanced green fluorescent protein into the lysozyme gene creates mice with green fluorescent granulocytes and macrophages. Blood. 2000;96:719–726. [PubMed] [Google Scholar]
- 27.Barretto RP, Messerschmidt B, Schnitzer MJ. In vivo fluorescence imaging with high-resolution microlenses. Nat Methods. 2009;6:511–512. doi: 10.1038/nmeth.1339. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Auffray C, Fogg D, Garfa M, Elain G, Join-Lambert O, Kayal S, Sarnacki S, Cumano A, Lauvau G, Geissmann F. Monitoring of blood vessels and tissues by a population of monocytes with patrolling behavior. Science. 2007;317:666–670. doi: 10.1126/science.1142883. [DOI] [PubMed] [Google Scholar]
- 29.Imai T, Hieshima K, Haskell C, Baba M, Nagira M, Nishimura M, Kakizaki M, Takagi S, Nomiyama H, Schall TJ, Yoshie O. Identification and molecular characterization of fractalkine receptor cx3cr1, which mediates both leukocyte migration and adhesion. Cell. 1997;91:521–530. doi: 10.1016/s0092-8674(00)80438-9. [DOI] [PubMed] [Google Scholar]
- 30.Nahrendorf M, Swirski FK, Aikawa E, Stangenberg L, Wurdinger T, Figueiredo JL, Libby P, Weissleder R, Pittet MJ. The healing myocardium sequentially mobilizes two monocyte subsets with divergent and complementary functions. Journal of Experimental Medicine. 2007;204:3037–3047. doi: 10.1084/jem.20070885. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Dutta P, Courties G, Wei Y, Leuschner F, Gorbatov R, Robbins CS, Iwamoto Y, Thompson B, Carlson AL, Heidt T, Majmudar MD, Lasitschka F, Etzrodt M, Waterman P, Waring MT, Chicoine AT, van der Laan AM, Niessen HW, Piek JJ, Rubin BB, Butany J, Stone JR, Katus HA, Murphy SA, Morrow DA, Sabatine MS, Vinegoni C, Moskowitz MA, Pittet MJ, Libby P, Lin CP, Swirski FK, Weissleder R, Nahrendorf M. Myocardial infarction accelerates atherosclerosis. Nature. 487:325–329. doi: 10.1038/nature11260. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Swirski FK, Nahrendorf M, Etzrodt M, Wildgruber M, Cortez-Retamozo V, Panizzi P, Figueiredo JL, Kohler RH, Chudnovskiy A, Waterman P, Aikawa E, Mempel TR, Libby P, Weissleder R, Pittet MJ. Identification of splenic reservoir monocytes and their deployment to inflammatory sites. Science. 2009;325:612–616. doi: 10.1126/science.1175202. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Kreisel D, Nava RG, Li WJ, Zinselmeyer BH, Wang BM, Lai JM, Pless R, Gelman AE, Krupnick AS, Miller MJ. In vivo two-photon imaging reveals monocyte-dependent neutrophil extravasation during pulmonary inflammation. Proceedings of the National Academy of Sciences of the United States of America. 2010;107:18073–18078. doi: 10.1073/pnas.1008737107. [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.