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Obaid G, Bano S, Thomsen H, Callaghan S, Shah N, Swain JWR, Jin W, Ding X, Cameron CG, McFarland SA, Wu J, Vangel M, Stoilova‐McPhie S, Zhao J, Mino‐Kenudson M, Lin C, Hasan T. Remediating Desmoplasia with EGFR-Targeted Photoactivable Multi-Inhibitor Liposomes Doubles Overall Survival in Pancreatic Cancer. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2104594. [PMID: 35748165 PMCID: PMC9404396 DOI: 10.1002/advs.202104594] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 05/31/2022] [Indexed: 05/20/2023]
Abstract
Desmoplasia is characteristic of pancreatic ductal adenocarcinoma (PDAC), which exhibits 5-year survival rates of 3%. Desmoplasia presents physical and biochemical barriers that contribute to treatment resistance, yet depleting the stroma alone is unsuccessful and even detrimental to patient outcomes. This study is the first demonstration of targeted photoactivable multi-inhibitor liposomes (TPMILs) that induce both photodynamic and chemotherapeutic tumor insult, while simultaneously remediating desmoplasia in orthotopic PDAC. TPMILs targeted with cetuximab (anti-EGFR mAb) contain lipidated benzoporphyrin derivative (BPD-PC) photosensitizer and irinotecan. The desmoplastic tumors comprise human PDAC cells and patient-derived cancer-associated fibroblasts. Upon photoactivation, the TPMILs induce 90% tumor growth inhibition at only 8.1% of the patient equivalent dose of nanoliposomal irinotecan (nal-IRI). Without EGFR targeting, PMIL photoactivation is ineffective. TPMIL photoactivation is also sixfold more effective at inhibiting tumor growth than a cocktail of Visudyne-photodynamic therapy (PDT) and nal-IRI, and also doubles survival and extends progression-free survival by greater than fivefold. Second harmonic generation imaging reveals that TPMIL photoactivation reduces collagen density by >90% and increases collagen nonalignment by >103 -fold. Collagen nonalignment correlates with a reduction in tumor burden and survival. This single-construct phototoxic, chemotherapeutic, and desmoplasia-remediating regimen offers unprecedented opportunities to substantially extend survival in patients with otherwise dismal prognoses.
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Affiliation(s)
- Girgis Obaid
- Department of DermatologyMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
- Present address:
Department of BioengineeringUniversity of Texas at DallasRichardsonTX75080USA
| | - Shazia Bano
- Department of DermatologyMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | - Hanna Thomsen
- Department of DermatologyMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | - Susan Callaghan
- Department of DermatologyMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | - Nimit Shah
- Present address:
Department of BioengineeringUniversity of Texas at DallasRichardsonTX75080USA
| | - Joseph W. R. Swain
- Department of DermatologyMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | - Wendong Jin
- Department of DermatologyMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | - Xiadong Ding
- Department of DermatologyMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | | | | | - Juwell Wu
- Department of DermatologyMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | - Mark Vangel
- Department of DermatologyMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | | | - Jie Zhao
- Department of DermatologyMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | - Mari Mino‐Kenudson
- Department of DermatologyMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | - Charles Lin
- Department of DermatologyMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | - Tayyaba Hasan
- Department of DermatologyMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
- Division of Health Sciences and TechnologyHarvard University and Massachusetts Institute of TechnologyCambridgeMA02139USA
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Design of a Multimodal Imaging System and Its First Application to Distinguish Grey and White Matter of Brain Tissue. A Proof-of-Concept-Study. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11114777] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Multimodal imaging gains increasing popularity for biomedical applications. This article presents the design of a novel multimodal imaging system. The centerpiece is a light microscope operating in the incident and transmitted light mode. Additionally, Raman spectroscopy and VIS/NIR reflectance spectroscopy are adapted. The proof-of-concept is realized to distinguish between grey matter (GM) and white matter (WM) of normal mouse brain tissue. Besides Raman and VIS/NIR spectroscopy, the following optical microscopy techniques are applied in the incident light mode: brightfield, darkfield, and polarization microscopy. To complement the study, brightfield images of a hematoxylin and eosin (H&E) stained cryosection in the transmitted light mode are recorded using the same imaging system. Data acquisition based on polarization microscopy and Raman spectroscopy gives the best results regarding the tissue differentiation of the unstained section. In addition to the discrimination of GM and WM, both modalities are suited to highlight differences in the density of myelinated axons. For Raman spectroscopy, this is achieved by calculating the sum of two intensity peak ratios (I2857 + I2888)/I2930 in the high-wavenumber region. For an optimum combination of the modalities, it is recommended to apply the molecule-specific but time-consuming Raman spectroscopy to smaller regions of interest, which have previously been identified by the microscopic modes.
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Motta MM, Stelini RF, Calderoni DR, Gilioli R, Damiani GV, César CL, Kharmandayan P. Effects of the lower energy and pulse stacking in carbon dioxide laser skin treatment: an objective analysis using second harmonic generation. Acta Cir Bras 2021; 36:e360304. [PMID: 33978061 PMCID: PMC8112111 DOI: 10.1590/acb360304] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 03/11/2021] [Indexed: 01/31/2023] Open
Abstract
PURPOSE To evaluate the effect of fractional carbon dioxide (CO2) laser treatment using lower power associated with pulse stacking within collagen fibers, using second harmonic generation microscopy and computerized image analysis. METHODS Twenty male Wistar rats aging eight weeks were used. Each treatment area received a single-pass CO2 fractional laser with different parameters. The 20 animals were divided into two groups and euthanized after 30 and 60 days. Second harmonic generation images were obtained and program ImageJ was utilized to evaluate the collagen organization within all areas. Collagen anisotropy, entropy and optical density were quantified. RESULTS Increased anisotropy over time was observed in all four areas, but only reached statistical significance (p = 0.0305) when the mildest parameters were used (area four). Entropy decreased over time in all areas, but without significance(p = 0.1779) in area four. Density showed an overtime increase only in area four, but no statistical significance was reached (p = 0.6534). CONCLUSIONS When combined, the results obtained in this study regarding anisotropy, entropy and density tend to demonstrate that it is possible to achieve collagen remodeling with the use of lower power levels associated with stacked pulses.
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Liu J, Xu MY, Wu J, Zhang H, Yang L, Lun DX, Hu YC, Liu B. Picrosirius-Polarization Method for Collagen Fiber Detection in Tendons: A Mini-Review. Orthop Surg 2021; 13:701-707. [PMID: 33689233 PMCID: PMC8126917 DOI: 10.1111/os.12627] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Revised: 01/14/2020] [Accepted: 01/14/2020] [Indexed: 12/31/2022] Open
Abstract
Although the structure and composition of collagen have been studied by polarized light microscopy since the early 19th century, many studies and reviews have paid little or no attention to the morphological problems of histopathological diagnosis. The morphology of collagen fibers is critical in guiding mechanical and biological properties in both normal and pathological tendons. Highlighting the organization and spatial distribution of tendon‐containing collagen fibers can be very useful for visualizing a tendon's ultrastructure, biochemical and indirect mechanical properties, which benefits other researchers and clinicians. Picrosirius red (PSR) staining, relying on the birefringence of collagen fibers, is one of the best understood histochemical methods that can highly and specifically underline fibers better than other common staining techniques when combined with polarized light microscopy (PLM). Polarized light microscopy provides complementary information about collagen fibers, such as orientation, type and spatial distribution, which is important for a comprehensive assessment of collagen alteration in a tendon. Here, this brief review serves as a simplistic and important primer to research developments in which differential staining of collagen types by the Picrosirius‐polarization method is increasing in diverse studies of the medical field, mainly in the assessment of the morphology, spatial distribution, and content of collagen in tendons.
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Affiliation(s)
- Jie Liu
- Tianjin Medical University, Tianjin, China
| | | | - Jing Wu
- Center for Medical Device Evaluation NMPA, Beijing, China
| | | | - Li Yang
- Tianjin Hospital, Tianjin, China
| | | | | | - Bin Liu
- Center for Medical Device Evaluation NMPA, Beijing, China
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Tehrani KF, Pendleton EG, Southern WM, Call JA, Mortensen LJ. Spatial frequency metrics for analysis of microscopic images of musculoskeletal tissues. Connect Tissue Res 2021; 62:4-14. [PMID: 33028134 PMCID: PMC7718369 DOI: 10.1080/03008207.2020.1828381] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Purpose: Imaging-based metrics for analysis of biological tissues are powerful tools that can extract information such as shape, size, periodicity, and many other features to assess the requested qualities of a tissue. Muscular and osseous tissues consist of periodic structures that are directly related to their function, and so analysis of these patterns likely reflects tissue health and regeneration.Methods: A method for assessment of periodic structures is by analyzing them in the spatial frequency domain using the Fourier transform. In this paper, we present two filters which we developed in the spatial frequency domain for the purpose of analyzing musculoskeletal structures. These filters provide information about 1) the angular orientation of the tissues and 2) their periodicity. We explore periodic structural patterns in the mitochondrial network of skeletal muscles that are reflective of muscle metabolism and myogenesis; and patterns of collagen fibers in the bone that are reflective of the organization and health of bone extracellular matrix.Results: We present an analysis of mouse skeletal muscle in healthy and injured muscles. We used a transgenic mouse that ubiquitously expresses fluorescent protein in their mitochondria and performed 2-photon microscopy to image the structures. To acquire the collagen structure of the bone we used non-linear SHG microscopy of mouse flat bone. We analyze and compare juvenile versus adult mice, which have different structural patterns.Conclusions: Our results indicate that these metrics can quantify musculoskeletal tissues during development and regeneration.
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Affiliation(s)
- Kayvan Forouhesh Tehrani
- Regenerative Bioscience Center, Rhodes Center for ADS,
University of Georgia, Athens, GA 30602, USA
| | - Emily G. Pendleton
- Regenerative Bioscience Center, Rhodes Center for ADS,
University of Georgia, Athens, GA 30602, USA
| | - W. Michael Southern
- Department of Kinesiology, University of Georgia, Athens,
GA 30602, USA,Currently with Department of Biochemistry, Molecular
Biology, and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA
| | - Jarrod A. Call
- Regenerative Bioscience Center, Rhodes Center for ADS,
University of Georgia, Athens, GA 30602, USA,Department of Kinesiology, University of Georgia, Athens,
GA 30602, USA
| | - Luke J. Mortensen
- Regenerative Bioscience Center, Rhodes Center for ADS,
University of Georgia, Athens, GA 30602, USA,School of Chemical, Materials and Biomedical Engineering,
University of Georgia, Athens, GA 30602, USA,
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Kazarine A, Gopal AA, Wiseman PW. Nonlinear microscopy of common histological stains reveals third harmonic generation harmonophores. Analyst 2019; 144:3239-3249. [PMID: 30920574 DOI: 10.1039/c9an00267g] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Since its invention over a hundred years ago, histological analysis using coloured dye staining remains the gold standard for histopathology. While these stains provide critical information for a variety of diagnostic purposes, they offer limited two-dimensional histological information. Extending classical histological analysis to three dimensions requires novel imaging approaches such as multiphoton microscopy. Multiphoton microscopy enables multimodal, three-dimensional imaging of histologically stained samples. Specifically, third harmonic generation (THG), a nonlinear optical process in which three incident photons are combined into one by the sample, allows high contrast imaging of tissues stained with absorbing dyes, which in turn act as harmonophores. While this technique has previously been applied to hematoxylin and eosin (H&E) tissue sections, we extend this approach to other commonly used histological stains to demonstrate further potential applications of the technique. We demonstrate THG imaging of both human skin and liver tissue stained with H&E, Verhoeff-Van Gieson (VVG) and Picrosirius Red stains. We find that these stains provide excellent contrast as THG harmonophores, enabling high resolution imaging of histological samples. THG imaging of the Verhoeff stain enables easy detection of elastic fibers while Picrosirius Red acts as an effective harmonophore for imaging collagen fibers of all sizes.
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Affiliation(s)
- Alexei Kazarine
- Department of Chemistry, McGill University, 801 Sherbrooke St West, Montreal, QC H3A 0B8, Canada.
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Pijanka JK, Markov PP, Midgett D, Paterson NG, White N, Blain EJ, Nguyen TD, Quigley HA, Boote C. Quantification of collagen fiber structure using second harmonic generation imaging and two-dimensional discrete Fourier transform analysis: Application to the human optic nerve head. JOURNAL OF BIOPHOTONICS 2019; 12:e201800376. [PMID: 30578592 PMCID: PMC6506269 DOI: 10.1002/jbio.201800376] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 12/13/2018] [Accepted: 12/19/2018] [Indexed: 05/17/2023]
Abstract
Second harmonic generation (SHG) microscopy is widely used to image collagen fiber microarchitecture due to its high spatial resolution, optical sectioning capabilities and relatively nondestructive sample preparation. Quantification of SHG images requires sensitive methods to capture fiber alignment. This article presents a two-dimensional discrete Fourier transform (DFT)-based method for collagen fiber structure analysis from SHG images. The method includes integrated periodicity plus smooth image decomposition for correction of DFT edge discontinuity artefact, avoiding the loss of peripheral image data encountered with more commonly used windowing methods. Outputted parameters are as follows: the collagen fiber orientation distribution, aligned collagen content and the degree of collagen fiber dispersion along the principal orientation. We demonstrate its application to determine collagen microstructure in the human optic nerve head, showing its capability to accurately capture characteristic structural features including radial fiber alignment in the innermost layers of the bounding sclera and a circumferential collagen ring in the mid-stromal tissue. Higher spatial resolution rendering of individual lamina cribrosa beams within the nerve head is also demonstrated. Validation of the method is provided in the form of correlative results from wide-angle X-ray scattering and application of the presented method to other fibrous tissues.
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Affiliation(s)
- Jacek K. Pijanka
- Structural Biophysics Group, School of Optometry and
Vision Sciences, Cardiff University, CF24 4HQ, Cardiff, UK
| | - Petar P. Markov
- Structural Biophysics Group, School of Optometry and
Vision Sciences, Cardiff University, CF24 4HQ, Cardiff, UK
| | - Dan Midgett
- Department of Mechanical Engineering, The Johns Hopkins
University, Baltimore, MD 21218, USA
- Department of Materials Science, The Johns Hopkins
University, Baltimore, MD 21218, USA
| | - Neil G. Paterson
- Diamond Light Source, Harwell Science and Innovation
Campus, Harwell, UK
| | - Nick White
- Vivat Scientia Bioimaging Labs, School of Optometry and
Visual Sciences, Cardiff University, CF24 4HQ, Cardiff, UK
| | - Emma J. Blain
- Arthritis Research UK Biomechanics and Bioengineering
Centre, Cardiff University, CF10 3AX, Cardiff, UK
| | - Thao D. Nguyen
- Department of Mechanical Engineering, The Johns Hopkins
University, Baltimore, MD 21218, USA
- Department of Materials Science, The Johns Hopkins
University, Baltimore, MD 21218, USA
| | - Harry A. Quigley
- Wilmer Ophthalmological Institute, School of Medicine, The
Johns Hopkins University, Baltimore, MD 21287, USA
| | - Craig Boote
- Structural Biophysics Group, School of Optometry and
Vision Sciences, Cardiff University, CF24 4HQ, Cardiff, UK
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Hui Mingalone CK, Liu Z, Hollander JM, Garvey KD, Gibson AL, Banks RE, Zhang M, McAlindon TE, Nielsen HC, Georgakoudi I, Zeng L. Bioluminescence and second harmonic generation imaging reveal dynamic changes in the inflammatory and collagen landscape in early osteoarthritis. J Transl Med 2018; 98:656-669. [PMID: 29540857 PMCID: PMC7735372 DOI: 10.1038/s41374-018-0040-9] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Revised: 12/12/2017] [Accepted: 12/14/2017] [Indexed: 12/28/2022] Open
Abstract
Osteoarthritis (OA) is a leading cause of chronic disability whose mechanism of pathogenesis is largely elusive. Local inflammation is thought to play a key role in OA progression, especially in injury-associated OA. While multiple inflammatory cytokines are detected, the timing and extent of overall inflammatory activities in early OA and the manner by which joint inflammation correlates with cartilage structural damage are still unclear. We induced OA via destabilization of the medial meniscus (DMM) in NFκB luciferase reporter mice, whose bioluminescent signal reflects the activity of NFκB, a central mediator of inflammation. Bioluminescence imaging data showed that DMM and sham control joints had a similar surge of inflammation at 1-week post-surgery, but the DMM joint exhibited a delay in resolution of inflammation in subsequent weeks. A similar trend was observed with synovitis, which we found to be mainly driven by synovial cell density and inflammatory infiltration rather than synovial lining thickness. Interestingly, an association between synovitis and collagen structural damage was observed in early OA. Using Second Harmonic Generation (SHG) imaging, we analyzed collagen fiber organization in articular cartilage. Zonal differences in collagen fiber thickness and organization were observed as soon as OA initiated after DMM surgery, and persisted over time. Even at 1-week post-surgery, the DMM joint showed a decrease in collagen fiber thickness in the deep zone and an increase in collagen fiber disorganization in the superficial zone. Since we were able detect and quantify collagen structural changes very early in OA development by SHG imaging, we concluded that SHG imaging is a highly sensitive tool to evaluate pathological changes in OA. In summary, this study uncovered a dynamic profile of inflammation and joint cartilage damage during OA initiation and development, providing novel insights into OA pathology.
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Affiliation(s)
- Carrie K. Hui Mingalone
- Program in Cell, Molecular, and Developmental Biology, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, MA 02111, USA
| | - Zhiyi Liu
- Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA
| | - Judith M. Hollander
- Program in Cell, Molecular, and Developmental Biology, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, MA 02111, USA
| | - Kirsten D. Garvey
- Department of Immunology, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Averi L. Gibson
- Program in Cell, Molecular, and Developmental Biology, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, MA 02111, USA
| | - Rose E. Banks
- Department of Immunology, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Ming Zhang
- Division of Rheumatology, Tufts Medical Center, Boston, MA 02111, USA
| | | | - Heber C. Nielsen
- Program in Cell, Molecular, and Developmental Biology, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, MA 02111, USA
| | - Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA
| | - Li Zeng
- Program in Cell, Molecular, and Developmental Biology, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, MA, 02111, USA. .,Department of Immunology, Tufts University School of Medicine, Boston, MA, 02111, USA. .,Department of Orthopaedics, Tufts Medical Center, Boston, MA, 02111, USA.
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