![]() | ![]() |
Formats:
|
||||||||||||||
Copyright © 2008, American Society for Clinical Investigation Real-time assessment of inflammation and treatment response in a mouse model of allergic airway inflammation 1Center for Systems Biology and 2Center for Molecular Imaging Research, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA. Address correspondence to: Mikael J. Pittet or Ralph Weissleder, Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Simches Research Building, 185 Cambridge St., Boston, Massachusetts 02114, USA. Phone: (617) 726-6481; Fax: (617) 726-5708; E-mail: mpittet/at/mgh.harvard.edu (M.J. Pittet); Email: rweissleder/at/mgh.harvard.edu (R. Weissleder). Received May 28, 2008; Accepted September 24, 2008. Abstract Eosinophils are multifunctional leukocytes that degrade and remodel tissue extracellular matrix through production of proteolytic enzymes, release of proinflammatory factors to initiate and propagate inflammatory responses, and direct activation of mucus secretion and smooth muscle cell constriction. Thus, eosinophils are central effector cells during allergic airway inflammation and an important clinical therapeutic target. Here we describe the use of an injectable MMP-targeted optical sensor that specifically and quantitatively resolves eosinophil activity in the lungs of mice with experimental allergic airway inflammation. Through the use of real-time molecular imaging methods, we report the visualization of eosinophil responses in vivo and at different scales. Eosinophil responses were seen at single-cell resolution in conducting airways using near-infrared fluorescence fiberoptic bronchoscopy, in lung parenchyma using intravital microscopy, and in the whole body using fluorescence-mediated molecular tomography. Using these real-time imaging methods, we confirmed the immunosuppressive effects of the glucocorticoid drug dexamethasone in the mouse model of allergic airway inflammation and identified a viridin-derived prodrug that potently inhibited the accumulation and enzyme activity of eosinophils in the lungs. The combination of sensitive enzyme-targeted sensors with noninvasive molecular imaging approaches permitted evaluation of airway inflammation severity and was used as a model to rapidly screen for new drug effects. Both fluorescence-mediated tomography and fiberoptic bronchoscopy techniques have the potential to be translated into the clinic. Introduction Asthma is a chronic inflammatory disease of the airways characterized by mucus secretion, bronchial hyperresponsiveness, and variable and reversible airflow obstruction. The disease affects approximately 300 million people worldwide and is continuously increasing in prevalence. Airway inflammation, a central component of most manifestations of asthma, results from a reaction to an inhaled environmental substance (e.g., an allergen) that triggers a series of inflammatory events (1–4). In response to inhalation of such agents, airways of sensitized individuals release eotaxin (5, 6) and leukotrienes (7) that rapidly recruit eosinophils. Eosinophils contribute decisively to the pathology of asthma because they produce proteinases that degrade and remodel tissue extracellular matrix; secrete various proinflammatory factors that promote the recruitment, survival, and activation of other immune effector cells; and promote mucus secretion and smooth muscle cell constriction (8, 9). Several recent studies indicate that eosinophils also elicit the expression of cytokines that activate and recruit deleterious Th2 lymphocytes to the lung (8, 10–12). Thus the pervading data imply that eosinophils are the primary cellular mediators of the asthmatic response to allergen exposure.
Over the last century, research on the inflammatory components that cause the clinical features of asthma has moved from invasive (postmortem) histological studies (13) to less invasive approaches, such as withdrawal of bronchoalveolar lavage (BAL) fluids or bronchial biopsies (14–16). Noninvasive anatomical techniques, such as spirometry (17), X-ray CT (18), MRI (19, 20), and PET (21), have also been developed to measure ventilation, perfusion, and alveolar-capillary gas transfer. However, there is a need for more efforts to take advantage of state-of-the-art imaging methods and to develop and validate diseased lung–specific biomarkers as valuable adjuncts to diagnosis and assessment of treatment response (22). Molecular imaging techniques for the study of allergic airway inflammation are not yet available. The reasons to develop and validate such tools are 2-fold. First, in vivo molecular imaging may improve our fundamental understanding of immune responses because the behavior of immune cells in tissues is dictated by local factors that often cannot be reproduced in vitro (23). Second, clinically applicable molecular imaging techniques may improve our ability to diagnose and stage disease and to assess treatment efficacy. Indeed, current approaches to assessing molecular endpoints in asthma require tissue and blood sampling and, in animal models, sacrifice at defined time points. Thus, immune pathways that are “turned on” during allergic airway inflammation may serve as targets for in vivo molecular imaging of disease progression.
Pulmonary eosinophils and other cells, such as macrophages, mast cells, and smooth muscle cells, produce MMPs — such as MMP-2, -3, -9, -12, -13, and -14 — as well as cathepsins B, S, L, H, and K, which are thought to contribute to the pathogenesis of asthma (24–36). MMPs have received heightened attention because they are elevated in experimental models of allergic airway inflammation (24–29, 36) and in the airways of asthmatics (25, 33–36). They also degrade tissue extracellular matrix; promote the recruitment, proliferation, and survival of inflammatory cells; and participate directly in bronchoconstriction and airway remodeling (25, 37, 38). To varying degrees, the biological activities mentioned above are found even in patients with mild asthmatic symptoms (39), which suggests that inflammation is an underlying pathologic feature in symptomatic patients.
Here we hypothesized that noninvasive molecular imaging of eosinophil-associated proteinase activity may inform on disease severity. To test this hypothesis, we combined the use of specific enzyme-targeted optical sensors with different molecular imaging modalities and performed noninvasive and real-time investigations of lung parenchyma and conducting airways in a mouse model of allergic airway inflammation. We aimed to define which enzymes may serve as sensitive biomarkers of inflammation and whether these biomarkers could be used to diagnose the modulation of inflammation upon therapeutic intervention. We report that a pan-MMP sensor informed noninvasively on extent and quality of allergic airway inflammation. Eosinophil-mediated MMP activity was visualized by intravital microscopy (IVM), fluorescence-mediated molecular tomography (FMT), and near-infrared fluorescence (NIRF) fiberoptic bronchoscopy. Results Eosinophils display potent MMP activity in inflamed lungs. Initially, we tested whether eosinophils exhibit distinct enzyme activities that can be detected with molecular sensors (40). We used pan-MMP– and pan-cathepsin–targeted optical reporters that consist of 3 building blocks: near-infrared fluorochromes, specific protease peptide substrates, and partially methoxypegylated graft copolymers. Fluorochromes are initially quenched, but cleavage of the scaffold by specific proteinases releases fluorochromes and generates extensive fluorescence. Each active moiety of enzyme can activate multiple reporters, leading to signal amplification. Here we administered MMP and cathepsin sensors in mice with inflamed or resting lungs and compared the enzyme activities mediated by eosinophils and other cells (e.g., macrophages, neutrophils, and lymphocytes). This involved sensitization of female BALB/c mice with chicken egg OVA in the presence of aluminum hydroxide (alum), followed by challenge with OVA and i.v. injection of MMP- and cathepsin-targeted sensors (Supplemental Figure 1; supplemental material available online with this article; doi:
10.1172/JCI36335DS1). At 1 day after the last antigen challenge, the lung accumulated at least 4 types of leukocytes, which we identified by flow cytometry as eosinophils (SSChiCCR3hi), monocytes/macrophages (CD11bhiB220loDX5loCD90loNK1.1loLy6Glo), neutrophils (CD11bhiB220hiDX5hiCD90hiNK1.1hiLy6Ghi), and other cells (CD11blo, mostly lymphocytes; Figure Figure1A).1
In vivo detection of eosinophil-mediated MMP activity correlates with disease severity. We used different in vivo imaging approaches to resolve eosinophil-associated MMP activity at microscopic and macroscopic resolutions in mice previously administered with the MMP-targeted sensor. Microscopic analysis at subcellular resolution involved IVM of lung parenchyma using ultrathin stick objectives and keyhole surgical access (41). The approach allowed signal detection up to 200 μm in depth and revealed pan-MMP activity in inflamed, but not resting, lungs (Figure (Figure2A).2
We coregistered MMP and cathepsin activities at 680 nm and 750 nm, respectively, during the in vivo FMT imaging procedures. In agreement with flow cytometry data, we found slight differences of cathepsin activity in lungs with moderate or potent allergic airway inflammation (Supplemental Figure 4), yet this differential activity was not significant and did not correlate with eosinophilic infiltration in the BAL. Thus, cathepsin activity failed to inform on the severity of the allergic inflammatory response. Activation of the MMP-targeted optical sensor in vivo. Proteinases produced by eosinophils include various MMPs, some of which have been involved in the pathology of asthma (36). A systems-level approach integrating a gene expression compendium of microarray data sets from multiple sources identified MMP-12 as the only MMP that was persistently upregulated in lungs upon induction of OVA-derived allergic airway inflammation (43). MMP-12 may be a central enzyme produced by eosinophils because it is also expressed at high levels in patients with airway inflammation (33, 44, 45). In addition, it degrades extracellular matrix components, promotes cell migration and remodeling, and orchestrates the production of IL-13 in mouse models of airway inflammation (24, 26, 31). Thus, we thought to test whether the MMP sensor is activated in mice deficient in MMP-12. We prepared single-cell suspensions from lung tissue of wild-type and MMP-12–deficient animals previously sensitized and challenged with OVA and found that eosinophils accumulated efficiently in the lungs of animals in both groups (Figure (Figure3A)3
We also investigated MMP activity upon LPS-mediated pulmonary inflammation and compared it with that of our model of OVA-induced allergic airway inflammation described above. For the generation of LPS-mediated pulmonary inflammation, cohorts of 6- to 8-week-old female BALB/c mice received i.n. injection of approximately 15 μg LPS in saline (46), while control mice received PBS instead of LPS. All mice were analyzed by FMT either 6, 18, or 24 h after LPS treatment and received the MMP sensor 24 h before imaging. Mice were sacrificed immediately after imaging, and BAL fluid and lung tissue were harvested and prepared to obtain single-cell suspensions. H&E staining revealed potent infiltration of immune cells in the BAL of both LPS- and OVA-treated mice. However, these cells were of different types: the LPS treatment recruited mainly neutrophils, whereas the OVA treatment recruited eosinophils, as expected. In fact, we observed a 24:1 neutrophil/eosinophil ratio after LPS treatment and a 1:780 ratio after OVA treatment (Supplemental Figure 6, A and B). Analysis of digested lung tissues revealed similar findings (Supplemental Figure 6C). Importantly, FMT analysis revealed negligible in vivo MMP activity in the lungs of LPS-treated mice compared with those of OVA-treated mice (Supplemental Figure 6D). The near absence of MMP activity in LPS-treated mice was further confirmed ex vivo by FRI on excised lung tissue (data not shown) and by flow cytometry (Supplemental Figure 6E). Thus the MMP sensor is selectively activated in mice with OVA-induced allergic airway inflammation (i.e., by activated eosinophils present in the airways), but not after LPS treatment (i.e., without activated eosinophils). This finding indicates that the sensor selectively reports on eosinophil-mediated MMP activity in vivo.
Noninvasive FMT imaging of treatment response. Having established that FMT can be used as a noninvasive in vivo readout to quantitatively assess eosinophil-mediated lung inflammation, we next used this method to further evaluate the efficacy of therapeutic interventions. First, we tested dexamethasone (Figure (Figure4A4
Second, we tested a self-activating viridin prodrug (Figure (Figure4B4 NIRF fiberoptic bronchoscopy to assess treatment response. In parallel to imaging inflamed lung parenchyma by FMT, we used video-assisted microcatheter NIRF bronchoscopy for direct visualization of NIRF signal in mouse conducting airways (Figure (Figure5A5
Discussion Enzyme-based activatable sensors for fluorescence-mediated imaging have proven valuable for the detection of protease activity in cancer, in cardiovascular disease, and in bacteria-derived, LPS-mediated inflammation (40, 46, 55), but their usefulness has not yet been evaluated in allergic airway inflammation and asthma. Here we report that a pan-MMP sensor informed noninvasively on extent and quality of allergic airway inflammation in a classical mouse model. Eosinophil-associated MMP activity was detected by flow cytometry and visualized by IVM, FMT, and NIRF fiberoptic bronchoscopy. The technique is remarkably sensitive, and signals reliably associated with MMP activity.
A wealth of data implicates proteinases such as MMPs in asthma and chronic obstructive pulmonary disease (COPD), but comparatively little is known about the source of these enzymes and precisely how they contribute to allergic airway inflammation (24–29, 33–36). Their presence in the airway during allergen challenge suggests an important role in the acute inflammatory response, while their capacity to cleave preferred peptide sequences renders them an attractive imaging target and putative functional biomarkers for disease. With the help of activatable sensors that report on activity, rather than expression, of a culprit enzyme (56, 57), we showed that eosinophils, long known to mediate important and deleterious functions in airway and asthma pathophysiology, were a dominant source of airway pan-MMP. We chose a pan-MMP sensor for imaging of enzyme burden because the disease mobilizes multiple MMPs, and related molecules are being introduced clinically. Results in knockout mice further identified MMP-12 as a dominant contributor to this activity, a finding that is in line with recent comprehensive systems-level approaches (43). The sensor also offers the advantage of in vivo detection by virtue of its whole-body distribution, NIRF, and substrate-dependent activation. Thus, the approach allows for real-time, multiscale imaging in deep tissue without relying on invasive ex vivo manipulation (58). Future studies will need to determine whether the technique is also applicable to screening for protease activity in airway pathologies such as COPD. Such insight will begin to define proteinase regulation and activity across inflammatory conditions in which other cell types dominate.
Imaging of proteinase-associated allergic airway inflammation entails several attractive possibilities for clinical translatability. The results of our studies with dexamethasone and the viridin prodrug attest to the exquisite sensitivities of these technologies in discriminating between different levels of inflammatory burden and suggest a role in screening for treatment efficacy. The method may also be used for diagnosis: by targeting inflammation, it may be used to test for allergic airway disease before the onset of acute attacks. Fiberoptic bronchoscopy is a promising approach for this goal. Indeed, the fiberoptic catheter is applicable to humans, is handheld, and does not require large imaging equipment. It is capable of visualizing protease activity deep in fourth-order bronchi, and a clinical version of the imaging system would be relatively inexpensive. Furthermore, the combined use of the MMP sensor and fiberoptic catheter noninvasively informs on the extent of protease activity in vivo and correlates with the extent of total lung inflammation, as assessed by ex vivo methods. At present, FMT is more suited for experimental research on relatively small animal models. However, one possibility for clinical translation would be adaptation of the finger-pulse oximetry technology (59, 60) for tomographic quantification of inflammation in sampled regions of the airway. This would require taping of the device intercostally for localized measurements. Future work will answer whether these or other optical or nonoptical imaging approaches can further improve our ability to diagnose the disease, asses treatment efficacy, and allow clinical translatability. For example, the development of sensors for molecular species that are unique to the eosinophil, and that allow for molecular imaging, would also be useful to study allergic responses.
Advances in molecular imaging have allowed the investigation of biological processes in vivo, noninvasively, and at various scales. Increasing evidence suggests that context-based approaches are necessary, because ex vivo and in vitro techniques fail to recapitulate the complex environmental stimuli that orchestrate a specific response (23, 40). Many of these approaches may now be translated to address key biological issues in asthma pathophysiology. As it has occurred in other diseases, molecular imaging will likely facilitate a broad, systems-based understanding of cellular and molecular events that trigger and propagate the disease.
Methods Mice. BALB/c and C57BL/6 mice were purchased from Taconic Farms Inc. MMP-12–deficient mice on a C57BL/6 background were a gift from S.D. Shapiro (University of Pittsburgh, Pittsburgh, Pennsylvania, USA). Five days prior to imaging, mice were placed on a highly purified reduced-manganese diet (Harlan) to reduce autofluorescence caused by normal mouse chow diet when imaging. All animal experiments were approved by the Massachusetts General Hospital Subcommittee on Research Animal Care. Induction of allergic airway inflammation. Groups of mice 8–10 weeks old were sensitized once (on day 0) or twice (on days 0 and 14) by i.p. injection of 50 μg OVA Grade VII (Sigma-Aldrich) emulsified in 2 mg alum (Sigma-Aldrich) in a total volume of 500 μl saline. Mice received 4 i.n. challenges with OVA (100 μg in 30 μl saline) on days 8, 9, 10, and 11 if sensitized once and on days 18, 19, 20, and 21 if sensitized twice. Mice underwent noninvasive imaging (e.g., FMT, NIRF bronchoscopy, and IVM) 24 h after the last challenge. Thereafter, BAL and lungs were harvested for further ex vivo analysis. Control mice were sensitized with OVA and alum, but received PBS during challenge. Induction of LPS-mediated pulmonary inflammation. Groups of BALB/c mice 8–10 weeks old received i.n. administration of a single dose of approximately 15 μg LPS (Sigma-Aldrich) dissolved in 15 μl saline. Mice underwent noninvasive FMT imaging 6, 18, and 24 h after LPS administration. Thereafter, BAL and lungs were harvested for further ex vivo analysis. Control mice received PBS instead of LPS. Cell recovery. For recovery of cells from the in airway lumen, the trachea was isolated by blunt dissection, and small-caliber tubing was inserted and secured in the airway. Three volumes of 500 μl PBS with 0.1% BSA were instilled, gently aspirated, and pooled. Cells from BAL were pelleted by centrifugation and resuspended in PBS until used. Differential cell counts were performed on BAL cells by counting at least 500 cells on cytocentrifuged preparations (Shandon EZ Single Cytofunnel; Thermo Scientific) stained with H&E (Protocol HEMA 3; Fisher Scientific) according to the manufacturer’s protocol. Cells were differentiated by standard hematologic procedures based on cell morphology. BAL supernatants were kept at –70°C until used for the determination of IL-5 cytokine levels. To recover cells from within the lung parenchyma, lungs were perfused abundantly with PBS, immediately analyzed by FRI, and cut into pieces and incubated in 10 ml RPMI 1640 (Gibco; Invitrogen) containing 0.2 mg/ml collagenase type IV (Sigma-Aldrich) for 1 h at 37°C. Digested lungs were filtered through a sterile 40-μm porous nylon mesh, and cells were washed and resuspended in 1 ml PBS with 0.1% BSA. Synthesis of self-activating viridin prodrug. The complete syntheses and characterizations of the self-activating viridin prodrug and the nonactivating viridin have been described previously (61). Briefly, the viridin wortmannin (Wm) was reacted at C11 to obtain NBD-Wm (62). The NBD-Wm was then reacted with either N(Me)hexanoic acid or N(H)hexanoic acid, and the carboxylic acid was converted to an N-hydroxysuccinide ester (48). The N-hydroxysuccinimide ester of each was reacted with a 70-kDa amino dextran (Invitrogen). The self-activating viridin prodrug and the control nonactivating compound are identical except for a methyl group (Figure (Figure4B)4 Therapeutic intervention. For treatment response studies, groups of mice sensitized on days 0 and 14 were administered daily and before challenge procedure (days 18, 19, 20, and 21) with i.p. injection of 1 mg/kg dexamethasone (Sigma-Aldrich) in 100 μl saline or with i.v. injection of 0.75 mg/kg self-activating viridin prodrug in 200 μl saline. Mice used as controls received i.v. injection of 0.75 mg/kg nonactive viridin or 0.75 mg/kg dextran (all in 200 μl saline) or were challenged with PBS. Mice were imaged 18–24 h after the last i.n. challenge, and BAL and lungs were immediately obtained for analysis ex vivo. Cytokine analysis. Determination of IL-5 in BAL fluid was achieved by standard ELISA using the Quantikine Immunoassay (R&D Systems) according to the manufacturer’s protocol. mAbs and flow cytometry. The following antibodies were used: APC-conjugated anti-CCR3 (R&D Systems), FITC-conjugated anti-CCR3 (R&D Systems), PE-conjugated anti-CD90 (clone 53-2.1; BD Biosciences), PE-conjugated anti-B220 (clone RA3-6B2; BD Biosciences), PE-conjugated anti-CD49b (clone DX5; BD Biosciences), PE-conjugated anti-NK1.1 (clone PK136; BD Biosciences), PE-conjugated anti–Ly-6G (clone 1A8; BD Biosciences), and APC-conjugated anti-CD11b (clone M1/70; BD Biosciences). The number of eosinophils, monocytes/macrophages, neutrophils, and other cells was defined as the total number of cells per lung multiplied by the percentage of each cell type identified by flow cytometry (LSRII; BD Biosciences). IVM. A prototype multichannel upright laser-scanning fluorescent microscope (IV100; Olympus) for intravital observations was used (41). Images were acquired with Fluoview imaging software (FV300, version 4.3; Olympus). Lasers used for excitation included a 10-mW, 633-nm helium-neon and a 18-mW, 748-nm diode laser. Emission signal was filtered through a SDM 570-nm and SDM 750-nm beam splitter and by using 650- to 700-nm barrier and 770-nm bandpass filters, respectively.
FMT. Mice received 5 nmol MMPSense-680 or ProSense-750 (both from VisEn Medical) via a tail vein injection. The probes are based on polymeric scaffolds that can be cleaved by target protease, resulting in the release of fluorochromes and extensive fluorescence generation (dequenching). MMPSense-680 excitation and emission wavelengths were 680 ± 10 nm and 700 ± 10 nm, respectively. ProSense-750 excitation and emission wavelengths were 750 ± 10 nm and 780 ± 10 nm. These sensors have a reported blood half-life of about 24 h and are mostly cleared through the liver (46, 63). Mice were anesthetized by inhalation of isoflurane (2% isoflurane, 2 l/min oxygen) 24 h after administration of the probes, and hair from the thorax and abdomen was removed by shaving and chemical depilation. Mice were immersed in an index-matching fluid to simplify theoretical constrains associated with boundary modeling and to calculate light propagation and were imaged using a commercially available FMT imaging system (FMT; VisEn Medical). Quantitative reconstruction of 3-dimensional maps of fluorochromes was based on Born-forward algorithms (64), and control mice not sensitized and not challenged with OVA served for signal normalization. To improve signal visualization and anatomic localization, several mice were also imaged by FMT-CT fusion imaging (64).
FRI. Excised lungs were imaged by FRI (BonSAI; Siemens) using filters for detection of fluorescence at 700 and 750 nm. Data were analyzed using OsiriX and expressed as mean fluorescent counts per second. NIRF fiberoptic bronchoscopy and image analysis. NIRF bronchoscopy was performed with an intravital fiberoptic confocal fluorescence microscopy system (Cellvizio Lab-660; Mauna Kea Technologies) that consists of a laser scanning collection unit (660 nm excitation; 680–900 nm collection wavelengths) and a S300 fibered microcatheter (bundle of 6,000 imaging fibers contained within a 300-μm diameter). The catheter has an axial resolution of 15 μm, a lateral resolution of 3.5 μm, and a field of view of 300 μm. Mice were administered a gas anesthetic agent (2% isoflurane, 2 l/min oxygen) before and throughout the imaging procedure. A laryngoscope was used to aid visualization of the mouse vocal cords. The imaging catheter was placed inside a 20-gauge sheath before insertion into the trachea. This allowed the release of the 20-gauge sheath under direct visualization inside the main bronchus. After removal of the catheter, the sheath was connected to a mechanical ventilator (Inspira ASV; Harvard Apparatus), and data were acquired on a continuous video sequence (12-bit near-infrared images at 12 frames per second). Large portions of the conducting airways were inspected down to third-order branches. Data were acquired and analyzed with ImageCell software (version 3.6.1; Mauna Kea Technologies). The maximum near-infrared signal observed within each frame was averaged across a large set of representative frames acquired (minimum 100) to comprise the fluorescence reading for each mouse bronchoscopy. Statistics. Data (n = 3–14 mice per group) are expressed as mean ± SEM. Statistical significance was determined by 1-way ANOVA. Differences between groups were determined by multiple comparisons of the means by using Tukey’s multiple comparison test. Significance was accepted for P values less than 0.05.
Supplemental data Click here to view.(2.1M, pdf) Supplemental video 1 Click here to view.(2.0M, mov) Supplemental video 2 Click here to view.(20K, mov) Supplemental video 3 Click here to view.(38K, mov) Supplemental video 4 Click here to view.(52K, mov) Supplemental video 5 Click here to view.(6.1M, mov) Supplemental video 6 Click here to view.(760K, mov) Supplemental video 7 Click here to view.(1.9M, mov) Supplemental video 8 Click here to view.(996K, mov) Supplemental video 9 Click here to view.(1.0M, mov) Acknowledgments This work was supported in part by the Strategic Program for Asthma Research (SPAR) and by NIH grant U24 CA092782. The authors thank S.D. Shapiro for providing MMP-12–deficient mice and Cedric Berger and Sheena Hembrador for imaging.
Footnotes Nonstandard abbreviations used: alum, aluminum hydroxide; BAL, bronchoalveolar lavage; FMT, fluorescence-mediated molecular tomography; FRI, fluorescence reflectance imaging; IVM, intravital microscopy, NIRF, near-infrared fluorescence.
Conflict of interest: Peter Waterman and Ralph Weissleder are consultants for VisEn Medical.
Citation for this article: J. Clin. Invest. 118:4058–4066 (2008). doi:10.1172/JCI36335
Filip K. Swirski and Peter Waterman contributed equally to this work. References 1. Larche M., Akdis C.A., Valenta R. Immunological mechanisms of allergen-specific immunotherapy. Nat. Rev. Immunol. 2006;6:761–771. doi: 10.1038/nri1934. [PubMed] 2. Holgate S.T., Polosa R. The mechanisms, diagnosis, and management of severe asthma in adults. Lancet. 2006;368:780–793. doi: 10.1016/S0140-6736(06)69288-X. [PubMed] 3. Barnes P.J. Immunology of asthma and chronic obstructive pulmonary disease. Nat. Rev. Immunol. 2008;8:183–192. doi: 10.1038/nri2254. [PubMed] 4. Noble P.W., Jiang D. Matrix regulation of lung injury, inflammation, and repair: the role of innate immunity. Proc. Am. Thorac. Soc. 2006;3:401–404. doi: 10.1513/pats.200604-097AW. [PubMed] 5. Garcia-Zepeda E.A., et al. Human eotaxin is a specific chemoattractant for eosinophil cells and provides a new mechanism to explain tissue eosinophilia. Nat. Med. 1996;2:449–456. doi: 10.1038/nm0496-449. [PubMed] 6. Ponath P.D., et al. Cloning of the human eosinophil chemoattractant, eotaxin. Expression, receptor binding, and functional properties suggest a mechanism for the selective recruitment of eosinophils. J. Clin. Invest. 1996;97:604–612. doi: 10.1172/JCI118456. [PubMed] 7. Drazen J.M., Israel E., O’Byrne P.M. Treatment of asthma with drugs modifying the leukotriene pathway. N. Engl. J. Med. 1999;340:197–206. doi: 10.1056/NEJM199901213400306. [PubMed] 8. Rothenberg M.E., Hogan S.P. The eosinophil. Annu. Rev. Immunol. 2006;24:147–174. doi: 10.1146/annurev.immunol.24.021605.090720. [PubMed] 9. Busse W.W., Lemanske R.F.J. Asthma. N. Engl. J. Med. 2001;344:350–362. doi: 10.1056/NEJM200102013440507. [PubMed] 10. Walsh E.R., et al. Strain-specific requirement for eosinophils in the recruitment of T cells to the lung during the development of allergic asthma. J. Exp. Med. 2008;205:1285–1292. doi: 10.1084/jem.20071836. [PubMed] 11. Jacobsen E.A., et al. Allergic pulmonary inflammation in mice is dependent on eosinophil-induced recruitment of effector T cells. J. Exp. Med. 2008;205:699–710. doi: 10.1084/jem.20071840. [PubMed] 12. Wang H.B., Ghiran I., Matthaei K., Weller P.F. Airway eosinophils: allergic inflammation recruited professional antigen-presenting cells. J. Immunol. 2007;179:7585–7592. [PubMed] 13. Huber H.K., Koessleder K.K. The pathology of bronchial asthma. Arch. Int. Med. 1922;30:689–760. 14. Bousquet J., et al. Eosinophilic inflammation in asthma. N. Engl. J. Med. 1990;323:1033–1039. [PubMed] 15. Bradley B.L., et al. Eosinophils, T-lymphocytes, mast cells, neutrophils, and macrophages in bronchial biopsy specimens from atopic subjects with asthma: comparison with biopsy specimens from atopic subjects without asthma and normal control subjects and relationship to bronchial hyperresponsiveness. J. Allergy Clin. Immunol. 1991;88:661–674. doi: 10.1016/0091-6749(91)90160-P. [PubMed] 16. Robinson D.S., et al. Predominant TH2-like bronchoalveolar T-lymphocyte population in atopic asthma. N. Engl. J. Med. 1992;326:298–304. [PubMed] 17. Miller M.R., et al. Standardisation of spirometry. Eur. Respir. J. 2005;26:319–338. doi: 10.1183/09031936.05.00034805. [PubMed] 18. Niimi A., et al. Clinical assessment of airway remodeling in asthma: utility of computed tomography. Clin Rev Allergy Immunol. 2004;27:45–58. doi: 10.1385/CRIAI:27:1:045. [PubMed] 19. Samee S., et al. Imaging the lungs in asthmatic patients by using hyperpolarized helium-3 magnetic resonance: assessment of response to methacholine and exercise challenge. J. Allergy Clin Immunol. 2003;111:1205–1211. doi: 10.1067/mai.2003.1544. [PubMed] 20. Driehuys B., et al. Imaging alveolar-capillary gas transfer using hyperpolarized 129Xe MRI. Proc. Natl. Acad. Sci. U. S. A. 2006;103:18278–18283. doi: 10.1073/pnas.0608458103. [PubMed] 21. Venegas J.G., et al. Self-organized patchiness in asthma as a prelude to catastrophic shifts. Nature. 2005;434:777–782. doi: 10.1038/nature03490. [PubMed] 22. Schuster D.P. The opportunities and challenges of developing imaging biomarkers to study lung function and disease. Am. J. Respir. Crit. Care Med. 2007;176:224–230. doi: 10.1164/rccm.200703-462PP. [PubMed] 23. Pittet M.J., Mempel T.R. Regulation of T-cell migration and effector functions: insights from in vivo imaging studies. Immunol. Rev. 2008;221:107–129. doi: 10.1111/j.1600-065X.2008.00584.x. [PubMed] 24. Pouladi M.A., et al. Interleukin-13-dependent expression of matrix metalloproteinase-12 is required for the development of airway eosinophilia in mice. Am. J. Respir. Cell Mol. Biol. 2004;30:84–90. doi: 10.1165/rcmb.2003-0051OC. [PubMed] 25. Kelly E.A., Jarjour N.N. Role of matrix metalloproteinases in asthma. Curr. Opin. Pulm. Med. 2003;9:28–33. doi: 10.1097/00063198-200301000-00005. [PubMed] 26. Lanone S., et al. Overlapping and enzyme-specific contributions of matrix metalloproteinases-9 and -12 in IL-13-induced inflammation and remodeling. J. Clin. Invest. 2002;110:463–474. [PubMed] 27. Cataldo D.D., et al. Matrix metalloproteinase-9 deficiency impairs cellular infiltration and bronchial hyperresponsiveness during allergen-induced airway inflammation. Am. J. Pathol. 2002;161:491–498. [PubMed] 28. Lee Y.C., et al. A murine model of toluene diisocyanate-induced asthma can be treated with matrix metalloproteinase inhibitor. J. Allergy Clin. Immunol. 2001;108:1021–1026. doi: 10.1067/mai.2001.120132. [PubMed] 29. Kumagai K., et al. Inhibition of matrix metalloproteinases prevents allergen-induced airway inflammation in a murine model of asthma. J. Immunol. 1999;162:4212–4219. [PubMed] 30. Fajardo I., Svensson L., Bucht A., Pejler G. Increased levels of hypoxia-sensitive proteins in allergic airway inflammation. Am. J. Respir. Crit. Care Med. 2004;170:477–484. doi: 10.1164/rccm.200402-178OC. [PubMed] 31. Zheng T., et al. Inducible targeting of IL-13 to the adult lung causes matrix metalloproteinase- and cathepsin-dependent emphysema. J. Clin. Invest. 2000;106:1081–1093. doi: 10.1172/JCI10458. [PubMed] 32. Cimerman N., et al. Serum concentration and circadian profiles of cathepsins B, H and L, and their inhibitors, stefins A and B, in asthma. Clin. Chim. Acta. 2001;310:113–122. doi: 10.1016/S0009-8981(01)00530-7. [PubMed] 33. Xie S., et al. Induction and regulation of matrix metalloproteinase-12 in human airway smooth muscle cells. Respir Res. 2005;6:148. [PubMed] 34. Mautino G., Capony F., Bousquet J., Vignola A.M. Balance in asthma between matrix metalloproteinases and their inhibitors. J. Allergy Clin. Immunol. 1999;104:530–533. doi: 10.1016/S0091-6749(99)70319-2. [PubMed] 35. Hoshino M., Nakamura Y., Sim J., Shimojo J., Isogai S. Bronchial subepithelial fibrosis and expression of matrix metalloproteinase-9 in asthmatic airway inflammation. J. Allergy Clin. Immunol. 1998;102:783–788. doi: 10.1016/S0091-6749(98)70018-1. [PubMed] 36. Parks W.C., Wilson C.L., Lopez-Boado Y.S. Matrix metalloproteinases as modulators of inflammation and innate immunity. Nat. Rev. Immunol. 2004;4:617–629. doi: 10.1038/nri1418. [PubMed] 37. Reed C.E., Kita H. 2004. The role of protease activation of inflammation in allergic respiratory diseases. J. Allergy Clin. Immunol. 114997–1008; quiz 1009.
.
doi: 10.1016/j.jaci.2004.07.060. [PubMed] 38. Gueders M.M., Foidart J.M., Noel A., Cataldo D.D. Matrix metalloproteinases (MMPs) and tissue inhibitors of MMPs in the respiratory tract: potential implications in asthma and other lung diseases. Eur. J. Pharmacol. 2006;533:133–144. doi: 10.1016/j.ejphar.2005.12.082. [PubMed] 39. Laitinen L.A., et al. 1996. Bronchial biopsy findings in intermittent or “early” asthma. J. Allergy Clin. Immunol. 98S3–S6; discussion S33–S40.
.
[PubMed] [PubMed] 40. Weissleder R., Pittet M.J. Imaging in the era of molecular oncology. Nature. 2008;452:580–589. doi: 10.1038/nature06917. [PubMed] 41. Alencar H., Mahmood U., Kawano Y., Hirata T., Weissleder R. Novel multiwavelength microscopic scanner for mouse imaging. Neoplasia. 2005;7:977–983. doi: 10.1593/neo.05376. [PubMed] 42. Strickland D.H., et al. Reversal of airway hyperresponsiveness by induction of airway mucosal CD4+CD25+ regulatory T cells. J. Exp. Med. 2006;203:2649–2660. doi: 10.1084/jem.20060155. [PubMed] 43. Novershtern N., Itzhaki Z., Manor O., Friedman N., Kaminski N. A functional and regulatory map of asthma. Am. J. Respir. Cell Mol. Biol. 2008;38:324–336. [PubMed] 44. Cataldo D.D., et al. Pathogenic role of matrix metalloproteases and their inhibitors in asthma and chronic obstructive pulmonary disease and therapeutic relevance of matrix metalloproteases inhibitors. Cell. Mol. Biol. (Noisy-le-grand). 2003;49:875–884. [PubMed] 45. Demedts I.K., et al. Elevated MMP-12 protein levels in induced sputum from patients with COPD. Thorax. 2006;61:196–201. doi: 10.1136/thx.2005.042432. [PubMed] 46. Haller J., et al. Visualization of pulmonary inflammation using noninvasive fluorescence molecular imaging. J. Appl. Physiol. 2008;104:795–802. doi: 10.1152/japplphysiol.00959.2007. [PubMed] 47. Barnes P.J., Pedersen S. Efficacy and safety of inhaled corticosteroids in asthma. Report of a workshop held in Eze, France, October 1992. Am. Rev. Respir. Dis. 1993;148:S1–S26. [PubMed] 48. Yuan H., Luo J., Weissleder R., Cantley L., Josephson L. Wortmannin-C20 conjugates generate wortmannin. J. Med. Chem. 2006;49:740–747. doi: 10.1021/jm050699p. [PubMed] 49. Blois J., et al. Slow self-activation enhances the potency of viridin prodrugs. J. Med. Chem. 2008;51:4699–4707. doi: 10.1021/jm800374f. [PubMed] 50. Yano H., et al. Inhibition of histamine secretion by wortmannin through the blockade of phosphatidylinositol 3-kinase in RBL-2H3 cells. J. Biol. Chem. 1993;268:25846–25856. [PubMed] 51. Zhu T., et al. Pegylated wortmannin and 17-hydroxywortmannin conjugates as phosphoinositide 3-kinase inhibitors active in human tumor xenograft models. J. Med. Chem. 2006;49:1373–1378. doi: 10.1021/jm050901o. [PubMed] 52. Sarkaria J.N., et al. Inhibition of phosphoinositide 3-kinase related kinases by the radiosensitizing agent wortmannin. Cancer Res. 1998;58:4375–4382. [PubMed] 53. Wymann M.P., et al. Wortmannin inactivates phosphoinositide 3-kinase by covalent modification of Lys-802, a residue involved in the phosphate transfer reaction. Mol. Cell. Biol. 1996;16:1722–1733. [PubMed] 54. Rommel C., Camps M., Ji H. PI3K delta and PI3K gamma: partners in crime in inflammation in rheumatoid arthritis and beyond? Nat. Rev. Immunol. 2007;7:191–201. doi: 10.1038/nri2036. [PubMed] 55. Jaffer F.A., Weissleder R. Molecular imaging in the clinical arena. JAMA. 2005;293:855–862. doi: 10.1001/jama.293.7.855. [PubMed] 56. Weissleder R., Tung C.H., Mahmood U., Bogdanov A.J. In vivo imaging of tumors with protease-activated near-infrared fluorescent probes. Nat. Biotechnol. 1999;17:375–378. doi: 10.1038/7933. [PubMed] 57. Bremer C., Tung C.H., Weissleder R. In vivo molecular target assessment of matrix metalloproteinase inhibition. Nat. Med. 2001;7:743–748. doi: 10.1038/89126. [PubMed] 58. Ntziachristos V., Tung C.H., Bremer C., Weissleder R. Fluorescence molecular tomography resolves protease activity in vivo. Nat. Med. 2002;8:757–760. doi: 10.1038/nm729. [PubMed] 59. Severinghaus J.W., Kelleher J.F. Recent developments in pulse oximetry. Anesthesiology. 1992;76:1018–1038. [PubMed] 60. Yelderman M., New W.J. Evaluation of pulse oximetry. Anesthesiology. 1983;59:349–352. [PubMed] 61. Blois J., et al. Slow self-activation enhances the potency of viridin prodrugs. J. Med. Chem. 2008;51:4699–4707. doi: 10.1021/jm800374f. [PubMed] 62. Barnes K.R., et al. Fate of a bioactive fluorescent wortmannin derivative in cells. Bioconjug. Chem. 2008;19:130–137. doi: 10.1021/bc7002204. [PubMed] 63. Weissleder R., Bogdanov A.J., Tung C.H., Weinmann H.J. Size optimization of synthetic graft copolymers for in vivo angiogenesis imaging. Bioconjug. Chem. 2001;12:213–219. doi: 10.1021/bc000091p. [PubMed] 64. Grimm J., et al. Use of gene expression profiling to direct in vivo molecular imaging of lung cancer. Proc. Natl. Acad. Sci. U. S. A. 2005;102:14404–14409. doi: 10.1073/pnas.0503920102. [PubMed] |
PubMed related articles
Your browsing activity is empty. Activity recording is turned off. |
|||||||||||||
Nat Rev Immunol. 2006 Oct; 6(10):761-71.
[Nat Rev Immunol. 2006]Proc Am Thorac Soc. 2006 Jul; 3(5):401-4.
[Proc Am Thorac Soc. 2006]Nat Med. 1996 Apr; 2(4):449-56.
[Nat Med. 1996]J Clin Invest. 1996 Feb 1; 97(3):604-12.
[J Clin Invest. 1996]N Engl J Med. 1999 Jan 21; 340(3):197-206.
[N Engl J Med. 1999]N Engl J Med. 1990 Oct 11; 323(15):1033-9.
[N Engl J Med. 1990]N Engl J Med. 1992 Jan 30; 326(5):298-304.
[N Engl J Med. 1992]Eur Respir J. 2005 Aug; 26(2):319-38.
[Eur Respir J. 2005]Clin Rev Allergy Immunol. 2004 Aug; 27(1):45-58.
[Clin Rev Allergy Immunol. 2004]J Allergy Clin Immunol. 2003 Jun; 111(6):1205-11.
[J Allergy Clin Immunol. 2003]Am J Respir Cell Mol Biol. 2004 Jan; 30(1):84-90.
[Am J Respir Cell Mol Biol. 2004]Nat Rev Immunol. 2004 Aug; 4(8):617-29.
[Nat Rev Immunol. 2004]J Immunol. 1999 Apr 1; 162(7):4212-9.
[J Immunol. 1999]Curr Opin Pulm Med. 2003 Jan; 9(1):28-33.
[Curr Opin Pulm Med. 2003]Respir Res. 2005 Dec 16; 6():148.
[Respir Res. 2005]Nature. 2008 Apr 3; 452(7187):580-9.
[Nature. 2008]Neoplasia. 2005 Nov; 7(11):977-83.
[Neoplasia. 2005]J Exp Med. 2006 Nov 27; 203(12):2649-60.
[J Exp Med. 2006]Nat Rev Immunol. 2004 Aug; 4(8):617-29.
[Nat Rev Immunol. 2004]Am J Respir Cell Mol Biol. 2008 Mar; 38(3):324-36.
[Am J Respir Cell Mol Biol. 2008]Respir Res. 2005 Dec 16; 6():148.
[Respir Res. 2005]Cell Mol Biol (Noisy-le-grand). 2003 Sep; 49(6):875-84.
[Cell Mol Biol (Noisy-le-grand). 2003]Thorax. 2006 Mar; 61(3):196-201.
[Thorax. 2006]J Appl Physiol. 2008 Mar; 104(3):795-802.
[J Appl Physiol. 2008]Am Rev Respir Dis. 1993 Oct; 148(4 Pt 2):S1-26.
[Am Rev Respir Dis. 1993]J Med Chem. 2006 Jan 26; 49(2):740-7.
[J Med Chem. 2006]J Med Chem. 2008 Aug 14; 51(15):4699-707.
[J Med Chem. 2008]J Biol Chem. 1993 Dec 5; 268(34):25846-56.
[J Biol Chem. 1993]Mol Cell Biol. 1996 Apr; 16(4):1722-33.
[Mol Cell Biol. 1996]Nat Rev Immunol. 2007 Mar; 7(3):191-201.
[Nat Rev Immunol. 2007]Nature. 2008 Apr 3; 452(7187):580-9.
[Nature. 2008]J Appl Physiol. 2008 Mar; 104(3):795-802.
[J Appl Physiol. 2008]JAMA. 2005 Feb 16; 293(7):855-62.
[JAMA. 2005]Am J Respir Cell Mol Biol. 2004 Jan; 30(1):84-90.
[Am J Respir Cell Mol Biol. 2004]J Immunol. 1999 Apr 1; 162(7):4212-9.
[J Immunol. 1999]Respir Res. 2005 Dec 16; 6():148.
[Respir Res. 2005]Nat Rev Immunol. 2004 Aug; 4(8):617-29.
[Nat Rev Immunol. 2004]Nat Biotechnol. 1999 Apr; 17(4):375-8.
[Nat Biotechnol. 1999]Anesthesiology. 1992 Jun; 76(6):1018-38.
[Anesthesiology. 1992]Anesthesiology. 1983 Oct; 59(4):349-52.
[Anesthesiology. 1983]Immunol Rev. 2008 Feb; 221():107-29.
[Immunol Rev. 2008]Nature. 2008 Apr 3; 452(7187):580-9.
[Nature. 2008]J Med Chem. 2008 Aug 14; 51(15):4699-707.
[J Med Chem. 2008]Bioconjug Chem. 2008 Jan; 19(1):130-7.
[Bioconjug Chem. 2008]J Med Chem. 2006 Jan 26; 49(2):740-7.
[J Med Chem. 2006]Neoplasia. 2005 Nov; 7(11):977-83.
[Neoplasia. 2005]J Appl Physiol. 2008 Mar; 104(3):795-802.
[J Appl Physiol. 2008]Bioconjug Chem. 2001 Mar-Apr; 12(2):213-9.
[Bioconjug Chem. 2001]Proc Natl Acad Sci U S A. 2005 Oct 4; 102(40):14404-9.
[Proc Natl Acad Sci U S A. 2005]