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Abston E, Zhou IY, Saenger JA, Shuvaev S, Akam E, Esfahani SA, Hariri LP, Rotile NJ, Crowley E, Montesi SB, Humblet V, Arabasz G, Khandekar M, Catana C, Fintelmann FJ, Caravan P, Lanuti M. Noninvasive Quantification of Radiation-Induced Lung Injury Using a Targeted Molecular Imaging Probe. Int J Radiat Oncol Biol Phys 2024; 118:1228-1239. [PMID: 38072325 DOI: 10.1016/j.ijrobp.2023.11.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 11/13/2023] [Accepted: 11/17/2023] [Indexed: 12/19/2023]
Abstract
PURPOSE Radiation-induced lung injury (RILI) is a progressive inflammatory process seen after irradiation for lung cancer. The disease can be insidious, often characterized by acute pneumonitis followed by chronic fibrosis with significant associated morbidity. No therapies are approved for RILI, and accurate disease quantification is a major barrier to improved management. Here, we sought to noninvasively quantify RILI using a molecular imaging probe that specifically targets type 1 collagen in mouse models and patients with confirmed RILI. METHODS AND MATERIALS Using a murine model of lung radiation, mice were imaged with EP-3533, a type 1 collagen probe, to characterize the development of RILI and to assess disease mitigation after losartan treatment. The human analog probe 68Ga-CBP8, targeting type 1 collagen, was tested on excised human lung tissue containing RILI and was quantified via autoradiography. 68Ga-CBP8 positron emission tomography was used to assess RILI in vivo in 6 human subjects. RESULTS Murine models demonstrated that probe signal correlated with progressive RILI severity over 6 months. The probe was sensitive to mitigation of RILI by losartan. Excised human lung tissue with RILI had increased binding versus unirradiated control tissue, and 68Ga-CBP8 uptake correlated with collagen proportional area. Human imaging revealed significant 68Ga-CBP8 uptake in areas of RILI and minimal background uptake. CONCLUSIONS These findings support the ability of a molecular imaging probe targeted at type 1 collagen to detect RILI in preclinical models and human disease, suggesting a role for targeted molecular imaging of collagen in the assessment of RILI.
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Affiliation(s)
- Eric Abston
- Division of Thoracic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
| | - Iris Y Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, Massachusetts
| | - Jonathan A Saenger
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sergey Shuvaev
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, Massachusetts
| | - Eman Akam
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts
| | - Shadi A Esfahani
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Lida P Hariri
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Nicholas J Rotile
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, Massachusetts
| | - Elizabeth Crowley
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sydney B Montesi
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Grae Arabasz
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts
| | - Melin Khandekar
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Ciprian Catana
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts; Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, Massachusetts
| | - Florian J Fintelmann
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Peter Caravan
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, Massachusetts
| | - Michael Lanuti
- Division of Thoracic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
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2
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Zhou IY, Ji Y, Zhao Y, Malvika V, Sun PZ, Zu Z. Specific and rapid guanidinium CEST imaging using double saturation power and QUASS analysis in a rodent model of global ischemia. Magn Reson Med 2024; 91:1512-1527. [PMID: 38098305 PMCID: PMC10872646 DOI: 10.1002/mrm.29960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 10/17/2023] [Accepted: 11/20/2023] [Indexed: 02/03/2024]
Abstract
PURPOSE Guanidinium CEST is sensitive to metabolic changes and pH variation in ischemia, and it can offer advantages over conventional pH-sensitive amide proton transfer (APT) imaging by providing hyperintense contrast in stroke lesions. However, quantifying guanidinium CEST is challenging due to multiple overlapping components and a close frequency offset from water. This study aims to evaluate the applicability of a new rapid and model-free CEST quantification method using double saturation power, termed DSP-CEST, for isolating the guanidinium CEST effect from confounding factors in ischemia. To further reduce acquisition time, the DSP-CEST was combined with a quasi-steady state (QUASS) CEST technique to process non-steady-state CEST signals. METHODS The specificity and accuracy of the DSP-CEST method in quantifying the guanidinium CEST effect were assessed by comparing simulated CEST signals with/without the contribution from confounding factors. The feasibility of this method for quantifying guanidinium CEST was evaluated in a rat model of global ischemia induced by cardiac arrest and compared to a conventional multiple-pool Lorentzian fit method. RESULTS The DSP-CEST method was successful in removing all confounding components and quantifying the guanidinium CEST signal increase in ischemia. This suggests that the DSP-CEST has the potential to provide hyperintense contrast in stroke lesions. Additionally, the DSP-CEST was shown to be a rapid method that does not require the acquisition of the entire or a portion of the CEST Z-spectrum that is required in conventional model-based fitting approaches. CONCLUSION This study highlights the potential of DSP-CEST as a valuable tool for rapid and specific detection of viable tissues.
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Affiliation(s)
- Iris Y. Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, US
| | - Yang Ji
- Wellcome Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Yu Zhao
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, US
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, US
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Viswanathan Malvika
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, US
| | - Phillip Zhe Sun
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, US
- Primate Imaging Center, Emory National Primate Research Center, Emory University, Atlanta, GA
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA
| | - Zhongliang Zu
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, US
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, US
- Department of Biomedical Engineering, Vanderbilt University, Nashville, US
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3
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Alba GA, Zhou IY, Mascia M, Magaletta M, Alladina JW, Giacona FL, Ginns LC, Caravan P, Maron BA, Montesi SB. Plasma NEDD9 is increased following SARS-CoV-2 infection and associates with indices of pulmonary vascular dysfunction. Pulm Circ 2024; 14:e12356. [PMID: 38500738 PMCID: PMC10946282 DOI: 10.1002/pul2.12356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 10/31/2023] [Accepted: 03/10/2024] [Indexed: 03/20/2024] Open
Abstract
Compared to healthy volunteers, participants with post-acute sequelae of SARS-CoV-2 infection (PASC) demonstrated increased plasma levels of the prothrombotic protein NEDD9, which associated inversely with indices of pulmonary vascular function. This suggests persistent pulmonary vascular dysfunction may play a role in the pathobiology of PASC.
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Affiliation(s)
- George A. Alba
- Harvard Medical SchoolBostonMassachusettsUSA
- Division of Pulmonary and Critical Care MedicineMassachusetts General HospitalBostonMassachusettsUSA
| | - Iris Y. Zhou
- Harvard Medical SchoolBostonMassachusettsUSA
- Department of Radiology, Athinoula A. Martinos Center for Biomedical ImagingMassachusetts General HospitalBostonMassachusettsUSA
- Institute for Innovation in ImagingMassachusetts General HospitalBostonMassachusettsUSA
| | - Molly Mascia
- Harvard Medical SchoolBostonMassachusettsUSA
- Division of Pulmonary and Critical Care MedicineMassachusetts General HospitalBostonMassachusettsUSA
| | - Michael Magaletta
- Department of Radiology, Athinoula A. Martinos Center for Biomedical ImagingMassachusetts General HospitalBostonMassachusettsUSA
| | - Jehan W. Alladina
- Harvard Medical SchoolBostonMassachusettsUSA
- Division of Pulmonary and Critical Care MedicineMassachusetts General HospitalBostonMassachusettsUSA
| | - Francesca L. Giacona
- Division of Pulmonary and Critical Care MedicineMassachusetts General HospitalBostonMassachusettsUSA
| | - Leo C. Ginns
- Harvard Medical SchoolBostonMassachusettsUSA
- Division of Pulmonary and Critical Care MedicineMassachusetts General HospitalBostonMassachusettsUSA
| | - Peter Caravan
- Harvard Medical SchoolBostonMassachusettsUSA
- Department of Radiology, Athinoula A. Martinos Center for Biomedical ImagingMassachusetts General HospitalBostonMassachusettsUSA
- Institute for Innovation in ImagingMassachusetts General HospitalBostonMassachusettsUSA
| | - Bradley A. Maron
- Division of Cardiovascular MedicineBrigham and Women's HospitalBostonMassachusettsUSA
- Department of MedicineUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Sydney B. Montesi
- Harvard Medical SchoolBostonMassachusettsUSA
- Division of Pulmonary and Critical Care MedicineMassachusetts General HospitalBostonMassachusettsUSA
- Institute for Innovation in ImagingMassachusetts General HospitalBostonMassachusettsUSA
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Borgula IM, Shuvaev S, Abston E, Rotile NJ, Weigand-Whittier J, Zhou IY, Caravan P, Raines RT. Detection of Pulmonary Fibrosis with a Collagen-Mimetic Peptide. ACS Sens 2023; 8:4008-4013. [PMID: 37930825 PMCID: PMC10842190 DOI: 10.1021/acssensors.3c00717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2023]
Abstract
Idiopathic pulmonary fibrosis (IPF) is a disease of unknown etiology that is characterized by excessive deposition and abnormal remodeling of collagen. IPF has a mean survival time of only 2-5 years from diagnosis, creating a need to detect IPF at an earlier stage when treatments might be more effective. We sought to develop a minimally invasive probe that could detect molecular changes in IPF-associated collagen. Here, we describe the design, synthesis, and performance of [68Ga]Ga·DOTA-CMP, which comprises a positron-emitting radioisotope linked to a collagen-mimetic peptide (CMP). This peptide mimics the natural structure of collagen and detects irregular collagen matrices by annealing to damaged collagen triple helices. We assessed the ability of the peptide to detect aberrant lung collagen selectively in a bleomycin-induced mouse model of pulmonary fibrosis using positron emission tomography (PET). [68Ga]Ga·DOTA-CMP PET demonstrated higher and selective uptake in a fibrotic mouse lung compared to controls, minimal background signal in adjacent organs, and rapid clearance via the renal system. These studies suggest that [68Ga]Ga·DOTA-CMP identifies fibrotic lungs and could be useful in the early diagnosis of IPF.
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Affiliation(s)
- Isabella M. Borgula
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Sergey Shuvaev
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts 02124, United States
- Athinoula A. Martinos Center for Biomedical Imaging, The Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth Street, Charlestown, Massachusetts 02129, United States
| | - Eric Abston
- Athinoula A. Martinos Center for Biomedical Imaging, The Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth Street, Charlestown, Massachusetts 02129, United States
- Department of Thoracic Surgery, Massachusetts General Hospital, Boston, Massachusetts 02124, United States
| | - Nicholas J. Rotile
- Athinoula A. Martinos Center for Biomedical Imaging, The Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth Street, Charlestown, Massachusetts 02129, United States
| | - Jonah Weigand-Whittier
- Athinoula A. Martinos Center for Biomedical Imaging, The Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth Street, Charlestown, Massachusetts 02129, United States
| | - Iris Y. Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, The Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth Street, Charlestown, Massachusetts 02129, United States
| | - Peter Caravan
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts 02124, United States
- Athinoula A. Martinos Center for Biomedical Imaging, The Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth Street, Charlestown, Massachusetts 02129, United States
| | - Ronald T. Raines
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
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5
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Le Fur M, Moon BF, Zhou IY, Zygmont S, Boice A, Rotile NJ, Ay I, Pantazopoulos P, Feldman AS, Rosales IA, How IDAL, Izquierdo-Garcia D, Hariri LP, Astashkin AV, Jackson BP, Caravan P. Gadolinium-based Contrast Agent Biodistribution and Speciation in Rats. Radiology 2023; 309:e230984. [PMID: 37874235 PMCID: PMC10623187 DOI: 10.1148/radiol.230984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 08/07/2023] [Accepted: 09/08/2023] [Indexed: 10/25/2023]
Abstract
Background Gadolinium retention has been observed in organs of patients with normal renal function; however, the biodistribution and speciation of residual gadolinium is not well understood. Purpose To compare the pharmacokinetics, distribution, and speciation of four gadolinium-based contrast agents (GBCAs) in healthy rats using MRI, mass spectrometry, elemental imaging, and electron paramagnetic resonance (EPR) spectroscopy. Materials and Methods In this prospective animal study performed between November 2021 and September 2022, 32 rats received a dose of gadoterate, gadoteridol, gadobutrol, or gadobenate (2.0 mmol/kg) for 10 consecutive days. GBCA-naive rats were used as controls. Three-dimensional T1-weighted ultrashort echo time images and R2* maps of the kidneys were acquired at 3, 17, 34, and 52 days after injection. At 17 and 52 days after injection, gadolinium concentrations in 23 organ, tissue, and fluid specimens were measured with mass spectrometry; gadolinium distribution in the kidneys was evaluated using elemental imaging; and gadolinium speciation in the kidney cortex was assessed using EPR spectroscopy. Data were assessed with analysis of variance, Kruskal-Wallis test, analysis of response profiles, and Pearson correlation analysis. Results For all GBCAs, the kidney cortex exhibited higher gadolinium retention at 17 days after injection than all other specimens tested (mean range, 350-1720 nmol/g vs 0.40-401 nmol/g; P value range, .001-.70), with gadoteridol showing the lowest level of retention. Renal cortex R2* values correlated with gadolinium concentrations measured ex vivo (r = 0.95; P < .001), whereas no associations were found between T1-weighted signal intensity and ex vivo gadolinium concentration (r = 0.38; P = .10). EPR spectroscopy analysis of rat kidney cortex samples showed that all GBCAs were primarily intact at 52 days after injection. Conclusion Compared with other macrocyclic GBCAs, gadoteridol administration led to the lowest level of retention. The highest concentration of gadolinium was retained in the kidney cortex, but T1-weighted MRI was not sensitive for detecting residual gadolinium in this tissue. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Tweedle in this issue.
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Affiliation(s)
- Mariane Le Fur
- From the Athinoula A. Martinos Center for Biomedical Imaging,
Department of Radiology (M.L.F., B.F.M., I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P.,
D.I.G., P.C.), Department of Urology (A.S.F.), and Department of Pathology
(I.A.R., I.D.A.L.H., L.P.H.), Massachusetts General Hospital and Harvard Medical
School, 149 13th St, Charlestown, MA 02129; Institute for Innovation in
Imaging, Massachusetts General Hospital, Charlestown, Mass (M.L.F., B.F.M.,
I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P., P.C.); Harvard-MIT Health Sciences and
Technology, Cambridge, Mass (D.I.G.); Bioengineering Department, Universidad
Carlos III de Madrid, Madrid, Spain (D.I.G.); Department of Chemistry and
Biochemistry, University of Arizona, Tucson, Ariz (A.V.A.); and Trace Element
Analysis Laboratory, Dartmouth College, Hanover, NH (B.P.J.)
| | - Brianna F. Moon
- From the Athinoula A. Martinos Center for Biomedical Imaging,
Department of Radiology (M.L.F., B.F.M., I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P.,
D.I.G., P.C.), Department of Urology (A.S.F.), and Department of Pathology
(I.A.R., I.D.A.L.H., L.P.H.), Massachusetts General Hospital and Harvard Medical
School, 149 13th St, Charlestown, MA 02129; Institute for Innovation in
Imaging, Massachusetts General Hospital, Charlestown, Mass (M.L.F., B.F.M.,
I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P., P.C.); Harvard-MIT Health Sciences and
Technology, Cambridge, Mass (D.I.G.); Bioengineering Department, Universidad
Carlos III de Madrid, Madrid, Spain (D.I.G.); Department of Chemistry and
Biochemistry, University of Arizona, Tucson, Ariz (A.V.A.); and Trace Element
Analysis Laboratory, Dartmouth College, Hanover, NH (B.P.J.)
| | - Iris Y. Zhou
- From the Athinoula A. Martinos Center for Biomedical Imaging,
Department of Radiology (M.L.F., B.F.M., I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P.,
D.I.G., P.C.), Department of Urology (A.S.F.), and Department of Pathology
(I.A.R., I.D.A.L.H., L.P.H.), Massachusetts General Hospital and Harvard Medical
School, 149 13th St, Charlestown, MA 02129; Institute for Innovation in
Imaging, Massachusetts General Hospital, Charlestown, Mass (M.L.F., B.F.M.,
I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P., P.C.); Harvard-MIT Health Sciences and
Technology, Cambridge, Mass (D.I.G.); Bioengineering Department, Universidad
Carlos III de Madrid, Madrid, Spain (D.I.G.); Department of Chemistry and
Biochemistry, University of Arizona, Tucson, Ariz (A.V.A.); and Trace Element
Analysis Laboratory, Dartmouth College, Hanover, NH (B.P.J.)
| | - Samantha Zygmont
- From the Athinoula A. Martinos Center for Biomedical Imaging,
Department of Radiology (M.L.F., B.F.M., I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P.,
D.I.G., P.C.), Department of Urology (A.S.F.), and Department of Pathology
(I.A.R., I.D.A.L.H., L.P.H.), Massachusetts General Hospital and Harvard Medical
School, 149 13th St, Charlestown, MA 02129; Institute for Innovation in
Imaging, Massachusetts General Hospital, Charlestown, Mass (M.L.F., B.F.M.,
I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P., P.C.); Harvard-MIT Health Sciences and
Technology, Cambridge, Mass (D.I.G.); Bioengineering Department, Universidad
Carlos III de Madrid, Madrid, Spain (D.I.G.); Department of Chemistry and
Biochemistry, University of Arizona, Tucson, Ariz (A.V.A.); and Trace Element
Analysis Laboratory, Dartmouth College, Hanover, NH (B.P.J.)
| | - Avery Boice
- From the Athinoula A. Martinos Center for Biomedical Imaging,
Department of Radiology (M.L.F., B.F.M., I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P.,
D.I.G., P.C.), Department of Urology (A.S.F.), and Department of Pathology
(I.A.R., I.D.A.L.H., L.P.H.), Massachusetts General Hospital and Harvard Medical
School, 149 13th St, Charlestown, MA 02129; Institute for Innovation in
Imaging, Massachusetts General Hospital, Charlestown, Mass (M.L.F., B.F.M.,
I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P., P.C.); Harvard-MIT Health Sciences and
Technology, Cambridge, Mass (D.I.G.); Bioengineering Department, Universidad
Carlos III de Madrid, Madrid, Spain (D.I.G.); Department of Chemistry and
Biochemistry, University of Arizona, Tucson, Ariz (A.V.A.); and Trace Element
Analysis Laboratory, Dartmouth College, Hanover, NH (B.P.J.)
| | - Nicholas J. Rotile
- From the Athinoula A. Martinos Center for Biomedical Imaging,
Department of Radiology (M.L.F., B.F.M., I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P.,
D.I.G., P.C.), Department of Urology (A.S.F.), and Department of Pathology
(I.A.R., I.D.A.L.H., L.P.H.), Massachusetts General Hospital and Harvard Medical
School, 149 13th St, Charlestown, MA 02129; Institute for Innovation in
Imaging, Massachusetts General Hospital, Charlestown, Mass (M.L.F., B.F.M.,
I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P., P.C.); Harvard-MIT Health Sciences and
Technology, Cambridge, Mass (D.I.G.); Bioengineering Department, Universidad
Carlos III de Madrid, Madrid, Spain (D.I.G.); Department of Chemistry and
Biochemistry, University of Arizona, Tucson, Ariz (A.V.A.); and Trace Element
Analysis Laboratory, Dartmouth College, Hanover, NH (B.P.J.)
| | - Ilknur Ay
- From the Athinoula A. Martinos Center for Biomedical Imaging,
Department of Radiology (M.L.F., B.F.M., I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P.,
D.I.G., P.C.), Department of Urology (A.S.F.), and Department of Pathology
(I.A.R., I.D.A.L.H., L.P.H.), Massachusetts General Hospital and Harvard Medical
School, 149 13th St, Charlestown, MA 02129; Institute for Innovation in
Imaging, Massachusetts General Hospital, Charlestown, Mass (M.L.F., B.F.M.,
I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P., P.C.); Harvard-MIT Health Sciences and
Technology, Cambridge, Mass (D.I.G.); Bioengineering Department, Universidad
Carlos III de Madrid, Madrid, Spain (D.I.G.); Department of Chemistry and
Biochemistry, University of Arizona, Tucson, Ariz (A.V.A.); and Trace Element
Analysis Laboratory, Dartmouth College, Hanover, NH (B.P.J.)
| | - Pamela Pantazopoulos
- From the Athinoula A. Martinos Center for Biomedical Imaging,
Department of Radiology (M.L.F., B.F.M., I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P.,
D.I.G., P.C.), Department of Urology (A.S.F.), and Department of Pathology
(I.A.R., I.D.A.L.H., L.P.H.), Massachusetts General Hospital and Harvard Medical
School, 149 13th St, Charlestown, MA 02129; Institute for Innovation in
Imaging, Massachusetts General Hospital, Charlestown, Mass (M.L.F., B.F.M.,
I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P., P.C.); Harvard-MIT Health Sciences and
Technology, Cambridge, Mass (D.I.G.); Bioengineering Department, Universidad
Carlos III de Madrid, Madrid, Spain (D.I.G.); Department of Chemistry and
Biochemistry, University of Arizona, Tucson, Ariz (A.V.A.); and Trace Element
Analysis Laboratory, Dartmouth College, Hanover, NH (B.P.J.)
| | - Adam S. Feldman
- From the Athinoula A. Martinos Center for Biomedical Imaging,
Department of Radiology (M.L.F., B.F.M., I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P.,
D.I.G., P.C.), Department of Urology (A.S.F.), and Department of Pathology
(I.A.R., I.D.A.L.H., L.P.H.), Massachusetts General Hospital and Harvard Medical
School, 149 13th St, Charlestown, MA 02129; Institute for Innovation in
Imaging, Massachusetts General Hospital, Charlestown, Mass (M.L.F., B.F.M.,
I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P., P.C.); Harvard-MIT Health Sciences and
Technology, Cambridge, Mass (D.I.G.); Bioengineering Department, Universidad
Carlos III de Madrid, Madrid, Spain (D.I.G.); Department of Chemistry and
Biochemistry, University of Arizona, Tucson, Ariz (A.V.A.); and Trace Element
Analysis Laboratory, Dartmouth College, Hanover, NH (B.P.J.)
| | - Ivy A. Rosales
- From the Athinoula A. Martinos Center for Biomedical Imaging,
Department of Radiology (M.L.F., B.F.M., I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P.,
D.I.G., P.C.), Department of Urology (A.S.F.), and Department of Pathology
(I.A.R., I.D.A.L.H., L.P.H.), Massachusetts General Hospital and Harvard Medical
School, 149 13th St, Charlestown, MA 02129; Institute for Innovation in
Imaging, Massachusetts General Hospital, Charlestown, Mass (M.L.F., B.F.M.,
I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P., P.C.); Harvard-MIT Health Sciences and
Technology, Cambridge, Mass (D.I.G.); Bioengineering Department, Universidad
Carlos III de Madrid, Madrid, Spain (D.I.G.); Department of Chemistry and
Biochemistry, University of Arizona, Tucson, Ariz (A.V.A.); and Trace Element
Analysis Laboratory, Dartmouth College, Hanover, NH (B.P.J.)
| | - Ira Doressa Anne L. How
- From the Athinoula A. Martinos Center for Biomedical Imaging,
Department of Radiology (M.L.F., B.F.M., I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P.,
D.I.G., P.C.), Department of Urology (A.S.F.), and Department of Pathology
(I.A.R., I.D.A.L.H., L.P.H.), Massachusetts General Hospital and Harvard Medical
School, 149 13th St, Charlestown, MA 02129; Institute for Innovation in
Imaging, Massachusetts General Hospital, Charlestown, Mass (M.L.F., B.F.M.,
I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P., P.C.); Harvard-MIT Health Sciences and
Technology, Cambridge, Mass (D.I.G.); Bioengineering Department, Universidad
Carlos III de Madrid, Madrid, Spain (D.I.G.); Department of Chemistry and
Biochemistry, University of Arizona, Tucson, Ariz (A.V.A.); and Trace Element
Analysis Laboratory, Dartmouth College, Hanover, NH (B.P.J.)
| | - David Izquierdo-Garcia
- From the Athinoula A. Martinos Center for Biomedical Imaging,
Department of Radiology (M.L.F., B.F.M., I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P.,
D.I.G., P.C.), Department of Urology (A.S.F.), and Department of Pathology
(I.A.R., I.D.A.L.H., L.P.H.), Massachusetts General Hospital and Harvard Medical
School, 149 13th St, Charlestown, MA 02129; Institute for Innovation in
Imaging, Massachusetts General Hospital, Charlestown, Mass (M.L.F., B.F.M.,
I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P., P.C.); Harvard-MIT Health Sciences and
Technology, Cambridge, Mass (D.I.G.); Bioengineering Department, Universidad
Carlos III de Madrid, Madrid, Spain (D.I.G.); Department of Chemistry and
Biochemistry, University of Arizona, Tucson, Ariz (A.V.A.); and Trace Element
Analysis Laboratory, Dartmouth College, Hanover, NH (B.P.J.)
| | - Lida P. Hariri
- From the Athinoula A. Martinos Center for Biomedical Imaging,
Department of Radiology (M.L.F., B.F.M., I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P.,
D.I.G., P.C.), Department of Urology (A.S.F.), and Department of Pathology
(I.A.R., I.D.A.L.H., L.P.H.), Massachusetts General Hospital and Harvard Medical
School, 149 13th St, Charlestown, MA 02129; Institute for Innovation in
Imaging, Massachusetts General Hospital, Charlestown, Mass (M.L.F., B.F.M.,
I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P., P.C.); Harvard-MIT Health Sciences and
Technology, Cambridge, Mass (D.I.G.); Bioengineering Department, Universidad
Carlos III de Madrid, Madrid, Spain (D.I.G.); Department of Chemistry and
Biochemistry, University of Arizona, Tucson, Ariz (A.V.A.); and Trace Element
Analysis Laboratory, Dartmouth College, Hanover, NH (B.P.J.)
| | - Andrei V. Astashkin
- From the Athinoula A. Martinos Center for Biomedical Imaging,
Department of Radiology (M.L.F., B.F.M., I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P.,
D.I.G., P.C.), Department of Urology (A.S.F.), and Department of Pathology
(I.A.R., I.D.A.L.H., L.P.H.), Massachusetts General Hospital and Harvard Medical
School, 149 13th St, Charlestown, MA 02129; Institute for Innovation in
Imaging, Massachusetts General Hospital, Charlestown, Mass (M.L.F., B.F.M.,
I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P., P.C.); Harvard-MIT Health Sciences and
Technology, Cambridge, Mass (D.I.G.); Bioengineering Department, Universidad
Carlos III de Madrid, Madrid, Spain (D.I.G.); Department of Chemistry and
Biochemistry, University of Arizona, Tucson, Ariz (A.V.A.); and Trace Element
Analysis Laboratory, Dartmouth College, Hanover, NH (B.P.J.)
| | - Brian P. Jackson
- From the Athinoula A. Martinos Center for Biomedical Imaging,
Department of Radiology (M.L.F., B.F.M., I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P.,
D.I.G., P.C.), Department of Urology (A.S.F.), and Department of Pathology
(I.A.R., I.D.A.L.H., L.P.H.), Massachusetts General Hospital and Harvard Medical
School, 149 13th St, Charlestown, MA 02129; Institute for Innovation in
Imaging, Massachusetts General Hospital, Charlestown, Mass (M.L.F., B.F.M.,
I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P., P.C.); Harvard-MIT Health Sciences and
Technology, Cambridge, Mass (D.I.G.); Bioengineering Department, Universidad
Carlos III de Madrid, Madrid, Spain (D.I.G.); Department of Chemistry and
Biochemistry, University of Arizona, Tucson, Ariz (A.V.A.); and Trace Element
Analysis Laboratory, Dartmouth College, Hanover, NH (B.P.J.)
| | - Peter Caravan
- From the Athinoula A. Martinos Center for Biomedical Imaging,
Department of Radiology (M.L.F., B.F.M., I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P.,
D.I.G., P.C.), Department of Urology (A.S.F.), and Department of Pathology
(I.A.R., I.D.A.L.H., L.P.H.), Massachusetts General Hospital and Harvard Medical
School, 149 13th St, Charlestown, MA 02129; Institute for Innovation in
Imaging, Massachusetts General Hospital, Charlestown, Mass (M.L.F., B.F.M.,
I.Y.Z., S.Z., A.B., N.J.R., I.A., P.P., P.C.); Harvard-MIT Health Sciences and
Technology, Cambridge, Mass (D.I.G.); Bioengineering Department, Universidad
Carlos III de Madrid, Madrid, Spain (D.I.G.); Department of Chemistry and
Biochemistry, University of Arizona, Tucson, Ariz (A.V.A.); and Trace Element
Analysis Laboratory, Dartmouth College, Hanover, NH (B.P.J.)
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6
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Ma H, Zhou IY, Chen YI, Rotile NJ, Ay I, Akam EA, Wang H, Knipe RS, Hariri LP, Zhang C, Drummond M, Pantazopoulos P, Moon BF, Boice AT, Zygmont SE, Weigand-Whittier J, Sojoodi M, Gonzalez-Villalobos RA, Hansen MK, Tanabe KK, Caravan P. Tailored Chemical Reactivity Probes for Systemic Imaging of Aldehydes in Fibroproliferative Diseases. J Am Chem Soc 2023; 145:20825-20836. [PMID: 37589185 PMCID: PMC11022681 DOI: 10.1021/jacs.3c04964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/18/2023]
Abstract
During fibroproliferation, protein-associated extracellular aldehydes are formed by the oxidation of lysine residues on extracellular matrix proteins to form the aldehyde allysine. Here we report three Mn(II)-based, small-molecule magnetic resonance probes that contain α-effect nucleophiles to target allysine in vivo and report on tissue fibrogenesis. We used a rational design approach to develop turn-on probes with a 4-fold increase in relaxivity upon targeting. The effects of aldehyde condensation rate and hydrolysis kinetics on the performance of the probes to detect tissue fibrogenesis non-invasively in mouse models were evaluated by a systemic aldehyde tracking approach. We showed that, for highly reversible ligations, off-rate was a stronger predictor of in vivo efficiency, enabling histologically validated, three-dimensional characterization of pulmonary fibrogenesis throughout the entire lung. The exclusive renal elimination of these probes allowed for rapid imaging of liver fibrosis. Reducing the hydrolysis rate by forming an oxime bond with allysine enabled delayed phase imaging of kidney fibrogenesis. The imaging efficacy of these probes, coupled with their rapid and complete elimination from the body, makes them strong candidates for clinical translation.
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Affiliation(s)
- Hua Ma
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02129, United States
| | - Iris Y. Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02129, United States
| | - Y. Iris Chen
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02129, United States
| | - Nicholas J. Rotile
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02129, United States
| | - Ilknur Ay
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02129, United States
| | - Eman A. Akam
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02129, United States
| | - Huan Wang
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02129, United States
| | - Rachel S. Knipe
- Division of Pulmonary and Critical Care Medicine and the Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, Massachusetts 02114, United States
| | - Lida P. Hariri
- Division of Pulmonary and Critical Care Medicine and the Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, Massachusetts 02114, United States
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, United States
| | - Caiyuan Zhang
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02129, United States
| | - Matthew Drummond
- Division of Pulmonary and Critical Care Medicine and the Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, Massachusetts 02114, United States
| | - Pamela Pantazopoulos
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02129, United States
| | - Brianna F. Moon
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02129, United States
| | - Avery T. Boice
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02129, United States
| | - Samantha E. Zygmont
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02129, United States
| | - Jonah Weigand-Whittier
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02129, United States
| | - Mozhdeh Sojoodi
- Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, United States
| | - Romer A. Gonzalez-Villalobos
- Cardiovascular and Metabolism Discovery, Janssen Research and Development LLC, Boston, Massachusetts 02115, United States
| | - Michael K. Hansen
- Cardiovascular and Metabolism Discovery, Janssen Research and Development LLC, Boston, Massachusetts 02115, United States
| | - Kenneth K. Tanabe
- Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, United States
| | - Peter Caravan
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02129, United States
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7
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Abston E, Zhou IY, Saenger JA, Shuvaev S, Akam E, Esfahani SA, Hariri LP, Rotile NJ, Crowley E, Montesi SB, Humblet V, Arabasz G, Catana C, Fintelmann FJ, Caravan P, Lanuti M. Noninvasive Quantification of Radiation-Induced Lung Injury using a Targeted Molecular Imaging Probe. medRxiv 2023:2023.09.25.23295897. [PMID: 37808864 PMCID: PMC10557816 DOI: 10.1101/2023.09.25.23295897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Rationale Radiation-induced lung injury (RILI) is a progressive inflammatory process commonly seen following irradiation for lung cancer. The disease can be insidious, often characterized by acute pneumonitis followed by chronic fibrosis with significant associated morbidity. No therapies are approved for RILI, and accurate disease quantification is a major barrier to improved management. Objective To noninvasively quantify RILI, utilizing a molecular imaging probe that specifically targets type 1 collagen in mouse models and patients with confirmed RILI. Methods Using a murine model of lung radiation, mice were imaged with EP-3533, a type 1 collagen probe to characterize the development of RILI and to assess disease mitigation following losartan treatment. The human analog probe targeted against type 1 collagen, 68Ga-CBP8, was tested on excised human lung tissue containing RILI and quantified via autoradiography. Finally, 68Ga-CBP8 PET was used to assess RILI in vivo in six human subjects. Results Murine models demonstrated that probe signal correlated with progressive RILI severity over six-months. The probe was sensitive to mitigation of RILI by losartan. Excised human lung tissue with RILI had increased binding vs unirradiated control tissue and 68Ga-CBP8 uptake correlated with collagen proportional area. Human imaging revealed significant 68Ga-CBP8 uptake in areas of RILI and minimal background uptake. Conclusions These findings support the ability of a molecular imaging probe targeted at type 1 collagen to detect RILI in preclinical models and human disease, suggesting a role for targeted molecular imaging of collagen in the assessment of RILI.Clinical trial registered with www.clinicaltrials.gov (NCT04485286, NCT03535545).
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Affiliation(s)
- Eric Abston
- Division of Thoracic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Iris Y Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
- The Institute for Innovation in Imaging Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jonathan A Saenger
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Sergey Shuvaev
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
- The Institute for Innovation in Imaging Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Eman Akam
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Shadi A Esfahani
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Lida P Hariri
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Nicholas J Rotile
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
- The Institute for Innovation in Imaging Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Elizabeth Crowley
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Sydney B Montesi
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Grae Arabasz
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Ciprian Catana
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA
- The Institute for Innovation in Imaging Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Florian J Fintelmann
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Peter Caravan
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
- The Institute for Innovation in Imaging Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Michael Lanuti
- Division of Thoracic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
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8
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Li JHW, Touboul A, Zouari F, Cheung PT, Wei E, Wong EC, Zhou IY, Yuen MF, Seto WK, Mak LY, Chan RW. Portable electrical impedance tomography (EIT) system stages non-alcoholic fatty liver disease for potential screening and monitoring at home. Annu Int Conf IEEE Eng Med Biol Soc 2023; 2023:1-4. [PMID: 38083484 DOI: 10.1109/embc40787.2023.10339955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
This study demonstrates the feasibility of predicting NAFLD using multi-spectral electrical impedance tomography (EIT), group source separation, constant reference EIT and anthropometric measures. Vibration-controlled Transient Elastography (VCTE) Controlled Attenuated Parameter (CAP; n = 121) and magnetic resonance imaging-proton density fat fraction (MRI-PDFF; n = 34) achieved a sensitivity of 70.9% and specificity of 73.8% with our CAP predicting model and sensitivity of 77.8% and specificity of 80.0% with our MRI-PDFF predicting model. In summary, a portable EIT can be a cost-effective and self-administrable alternative for widespread home-based and community-based diagnostic screening and treatment monitoring of NAFLD.Clinical Relevance- Portable multi-spectral EIT system has the sensitivity and specificity to potentially unlock biomedical imaging in telemedicine for home-based and community-based screening, staging and monitoring for NAFLD.
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9
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Zouari F, Cheung PT, Touboul A, Kwok WC, Sin V, Wong EC, Zhou IY, Tam TCC, Chan RW. Global and regional lung function assessment using portable electrical impedance tomography (EIT) system: clinical study. Annu Int Conf IEEE Eng Med Biol Soc 2023; 2023:1-4. [PMID: 38082917 DOI: 10.1109/embc40787.2023.10340136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Recent development of affordable, portable and self-administrable electrical impedance tomography (EIT) system demonstrated the feasibility of using standalone EIT and subject's anthropometrics to predict the gold standard spirometry indicators for lung-function assessment. Compared to spirometry, the system showed the advantage of providing spatial mapping of the spirometry indicators. Nevertheless, the previous study was limited to healthy subjects. Here, we recruited (N=88): 47 lung disease patients and 41 healthy controls to perform simultaneous EIT and spirometry measurements to validate the capabilities of the system. Lung disease patients include 13 interstitial lung disease (ILD), 10 asthma, 8 chronic obstructive pulmonary disease (COPD), 8 bronchiectasis, and 8 with other diseases including left pneumonectomy, lung cancer, lung tumor, lymphangioleiomyomatosis, motor neuron disease, heart failure and bronchiolitis obliterans syndrome. The results showed significant correlation of the predicted global spirometry indicators (p<0.0001) and significant distinguishability between most disease groups and healthy subjects demonstrating the capability of the EIT system in diagnostic screening. Furthermore, the regional mapping of the spirometry indicators is evaluated and shown to be distinct for each disease group, providing an additional dimension for medical professionals to diagnose and monitor lung disease patients.Clinical Relevance- This establishes the significance of EIT-based global and regional indicators for assessing lung function on lung disease patients.
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10
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Zhou IY, Mascia M, Alba GA, Magaletta M, Ginns LC, Caravan P, Montesi SB. Dynamic Contrast-enhanced MRI Demonstrates Pulmonary Microvascular Abnormalities Months After SARS-CoV-2 Infection. Am J Respir Crit Care Med 2023; 207:1636-1639. [PMID: 37094097 PMCID: PMC10273117 DOI: 10.1164/rccm.202210-1884le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023] Open
Affiliation(s)
- Iris Y. Zhou
- Harvard Medical School, Boston, Massachusetts; and
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology
- Institute for Innovation in Imaging, and
| | - Molly Mascia
- Harvard Medical School, Boston, Massachusetts; and
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - George A. Alba
- Harvard Medical School, Boston, Massachusetts; and
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Michael Magaletta
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology
| | - Leo C. Ginns
- Harvard Medical School, Boston, Massachusetts; and
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Peter Caravan
- Harvard Medical School, Boston, Massachusetts; and
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology
- Institute for Innovation in Imaging, and
| | - Sydney B. Montesi
- Harvard Medical School, Boston, Massachusetts; and
- Institute for Innovation in Imaging, and
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
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11
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Zhang J, Ning Y, Zhu H, Rotile NJ, Wei H, Diyabalanage H, Hansen EC, Zhou IY, Barrett SC, Sojoodi M, Tanabe KK, Humblet V, Jasanoff A, Caravan P, Bawendi MG. Fast detection of liver fibrosis with collagen-binding single-nanometer iron oxide nanoparticles via T1-weighted MRI. Proc Natl Acad Sci U S A 2023; 120:e2220036120. [PMID: 37094132 PMCID: PMC10161015 DOI: 10.1073/pnas.2220036120] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 03/13/2023] [Indexed: 04/26/2023] Open
Abstract
SNIO-CBP, a single-nanometer iron oxide (SNIO) nanoparticle functionalized with a type I collagen-binding peptide (CBP), was developed as a T1-weighted MRI contrast agent with only endogenous elements for fast and noninvasive detection of liver fibrosis. SNIO-CBP exhibits 6.7-fold higher relaxivity compared to a molecular gadolinium-based collagen-binding contrast agent CM-101 on a per CBP basis at 4.7 T. Unlike most iron oxide nanoparticles, SNIO-CBP exhibits fast elimination from the bloodstream with a 5.7 min half-life, high renal clearance, and low, transient liver enhancement in healthy mice. We show that a dose of SNIO-CBP that is 2.5-fold lower than that for CM-101 has comparable imaging efficacy in rapid (within 15 min following intravenous injection) detection of hepatotoxin-induced liver fibrosis using T1-weighted MRI in a carbon tetrachloride-induced mouse liver injury model. We further demonstrate the applicability of SNIO-CBP in detecting liver fibrosis in choline-deficient L-amino acid-defined high-fat diet mouse model of nonalcoholic steatohepatitis. These results provide a platform with potential for the development of high relaxivity, gadolinium-free molecular MRI probes for characterizing chronic liver disease.
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Affiliation(s)
- Juanye Zhang
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA02139
| | - Yingying Ning
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA02129
| | - Hua Zhu
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA02139
| | - Nicholas J. Rotile
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA02129
| | - He Wei
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA02139
| | | | - Eric C. Hansen
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA02139
| | - Iris Y. Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA02129
| | - Stephen C. Barrett
- Division of Gastrointestinal and Oncological Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA02114
| | - Mozhdeh Sojoodi
- Division of Gastrointestinal and Oncological Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA02114
| | - Kenneth K. Tanabe
- Division of Gastrointestinal and Oncological Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA02114
| | | | - Alan Jasanoff
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA02139
| | - Peter Caravan
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA02129
| | - Moungi G. Bawendi
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA02139
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12
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Izquierdo-Garcia D, Désogère P, Fur ML, Shuvaev S, Zhou IY, Ramsay I, Lanuti M, Catalano OA, Catana C, Caravan P, Montesi SB. Biodistribution, Dosimetry, and Pharmacokinetics of 68Ga-CBP8: A Type I Collagen-Targeted PET Probe. J Nucl Med 2023; 64:775-781. [PMID: 37116909 PMCID: PMC10152126 DOI: 10.2967/jnumed.122.264530] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 11/29/2022] [Indexed: 12/13/2022] Open
Abstract
The 68Ga-Collagen Binding Probe #8, 68Ga-CBP8, is a peptide-based, type I collagen-targeted probe developed for imaging of tissue fibrosis. The aim of this study was to determine the biodistribution, dosimetry, and pharmacokinetics of 68Ga-CBP8 in healthy human subjects. Methods: Nine healthy volunteers (5 male and 4 female) underwent whole-body 68Ga-CBP8 PET/MRI using a Biograph mMR scanner. The subjects were imaged continuously for up to 2 h after injection of 68Ga-CBP8. A subset of subjects underwent an additional imaging session 2-3 h after probe injection. OLINDA/EXM software was used to calculate absorbed organ and effective dose estimates based on up to 17 regions of interest (16 for men) defined on T2-weighted MR images and copied to the PET images, assuming a uniform distribution of probe concentration in each region. Serial blood sampling up to 90 min after probe injection was performed to assess blood clearance and metabolic stability. Results: The mean injected activity (±SD) of 68Ga-CBP8 was 220 ± 100 MBq (range, 113-434 MBq). No adverse effects related to probe administration were detected. 68Ga-CBP8 demonstrated an extracellular distribution with predominantly rapid renal clearance. Doses on the urinary bladder were 0.15 versus 0.19 mGy/MBq for men versus women. The highest absorbed doses for the rest of the organs were measured in the kidneys (0.078 vs. 0.088 mGy/MBq) and the liver (0.032 vs. 0.041 mGy/MBq). The mean effective dose was 0.018 ± 0.0026 mSv/MBq using a 1-h voiding model. The 68Ga-CBP8 signal in the blood demonstrated biexponential pharmacokinetics with an initial distribution half-life of 4.9 min (95% CI, 2.4-9.4 min) and a 72-min elimination half-life (95% CI, 47-130 min). The only metabolite observed had a long blood plasma half-life, suggesting protein-bound 68Ga. Conclusion: 68Ga-CBP8 displays favorable in-human characteristics and dosimetry similar to that of other gallium-based probes. 68Ga-CBP8 could therefore be used for noninvasive collagen imaging across a range of human fibrotic diseases.
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Affiliation(s)
- David Izquierdo-Garcia
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts;
- Harvard Medical School, Boston, Massachusetts
- Harvard-MIT Division of Health Sciences and Technology, Cambridge, Massachusetts
- Bioengineering Department, Universidad Carlos III de Madrid, Spain
| | - Pauline Désogère
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
- Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, Massachusetts
| | - Mariane Le Fur
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, Massachusetts
| | - Sergey Shuvaev
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, Massachusetts
| | - Iris Y Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, Massachusetts
| | - Ian Ramsay
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - Michael Lanuti
- Harvard Medical School, Boston, Massachusetts
- Division of Thoracic Surgery, Massachusetts General Hospital, Boston, Massachusetts; and
| | - Onofrio A Catalano
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Ciprian Catana
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, Massachusetts
| | - Peter Caravan
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, Massachusetts
| | - Sydney B Montesi
- Harvard Medical School, Boston, Massachusetts
- Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, Massachusetts
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
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13
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Ma H, Zhou IY, Chen YI, Rotile NJ, Ay I, Akam E, Wang H, Knipe R, Hariri LP, Zhang C, Drummond M, Pantazopoulos P, Moon BF, Boice AT, Zygmont SE, Weigand-Whittier J, Sojoodi M, Gonzalez-Villalobos RA, Hansen MK, Tanabe KK, Caravan P. Tailored chemical reactivity probes for systemic imaging of aldehydes in fibroproliferative diseases. bioRxiv 2023:2023.04.20.537707. [PMID: 37131719 PMCID: PMC10153247 DOI: 10.1101/2023.04.20.537707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
During fibroproliferation, protein-associated extracellular aldehydes are formed by the oxidation of lysine residues on extracellular matrix proteins to form the aldehyde allysine. Here we report three Mn(II)-based, small molecule magnetic resonance (MR) probes that contain α-effect nucleophiles to target allysine in vivo and report on tissue fibrogenesis. We used a rational design approach to develop turn-on probes with a 4-fold increase in relaxivity upon targeting. The effects of aldehyde condensation rate and hydrolysis kinetics on the performance of the probes to detect tissue fibrogenesis noninvasively in mouse models were evaluated by a systemic aldehyde tracking approach. We showed that for highly reversible ligations, off-rate was a stronger predictor of in vivo efficiency, enabling histologically validated, three-dimensional characterization of pulmonary fibrogenesis throughout the entire lung. The exclusive renal elimination of these probes allowed for rapid imaging of liver fibrosis. Reducing the hydrolysis rate by forming an oxime bond with allysine enabled delayed phase imaging of kidney fibrogenesis. The imaging efficacy of these probes, coupled with their rapid and complete elimination from the body, make them strong candidates for clinical translation.
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14
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Zhou W, Simic P, Zhou IY, Caravan P, Vela Parada X, Wen D, Washington OL, Shvedova M, Pierce KA, Clish CB, Mannstadt M, Kobayashi T, Wein MN, Jüppner H, Rhee EP. Kidney glycolysis serves as a mammalian phosphate sensor that maintains phosphate homeostasis. J Clin Invest 2023; 133:e164610. [PMID: 36821389 PMCID: PMC10104895 DOI: 10.1172/jci164610] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 02/21/2023] [Indexed: 02/24/2023] Open
Abstract
How phosphate levels are detected in mammals is unknown. The bone-derived hormone fibroblast growth factor 23 (FGF23) lowers blood phosphate levels by reducing kidney phosphate reabsorption and 1,25(OH)2D production, but phosphate does not directly stimulate bone FGF23 expression. Using PET scanning and LC-MS, we found that phosphate increases kidney-specific glycolysis and synthesis of glycerol-3-phosphate (G-3-P), which then circulates to bone to trigger FGF23 production. Further, we found that G-3-P dehydrogenase 1 (Gpd1), a cytosolic enzyme that synthesizes G-3-P and oxidizes NADH to NAD+, is required for phosphate-stimulated G-3-P and FGF23 production and prevention of hyperphosphatemia. In proximal tubule cells, we found that phosphate availability is substrate-limiting for glycolysis and G-3-P production and that increased glycolysis and Gpd1 activity are coupled through cytosolic NAD+ recycling. Finally, we show that the type II sodium-dependent phosphate cotransporter Npt2a, which is primarily expressed in the proximal tubule, conferred kidney specificity to phosphate-stimulated G-3-P production. Importantly, exogenous G-3-P stimulated FGF23 production when Npt2a or Gpd1 were absent, confirming that it was the key circulating factor downstream of glycolytic phosphate sensing in the kidney. Together, these findings place glycolysis at the nexus of mineral and energy metabolism and identify a kidney-bone feedback loop that controls phosphate homeostasis.
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Affiliation(s)
- Wen Zhou
- Nephrology Division, Department of Medicine, and
- Endocrine Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Petra Simic
- Nephrology Division, Department of Medicine, and
- Endocrine Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Iris Y. Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA
| | - Peter Caravan
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA
| | - Xavier Vela Parada
- Nephrology Division, Department of Medicine, and
- Endocrine Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Donghai Wen
- Nephrology Division, Department of Medicine, and
- Endocrine Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Onica L. Washington
- Nephrology Division, Department of Medicine, and
- Endocrine Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Maria Shvedova
- Endocrine Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Kerry A. Pierce
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Clary B. Clish
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Michael Mannstadt
- Endocrine Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Tatsuya Kobayashi
- Endocrine Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Marc N. Wein
- Endocrine Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Harald Jüppner
- Endocrine Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Pediatric Nephrology Unit, Department of Pediatrics, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Eugene P. Rhee
- Nephrology Division, Department of Medicine, and
- Endocrine Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
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15
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Ji Y, Lu D, Sun PZ, Zhou IY. In vivo pH mapping with omega plot-based quantitative chemical exchange saturation transfer MRI. Magn Reson Med 2023; 89:299-307. [PMID: 36089834 PMCID: PMC9617761 DOI: 10.1002/mrm.29444] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/05/2022] [Accepted: 08/15/2022] [Indexed: 02/01/2023]
Abstract
PURPOSE Chemical exchange saturation transfer (CEST) MRI is promising for detecting dilute metabolites and microenvironment properties, which has been increasingly adopted in imaging disorders such as acute stroke and cancer. However, in vivo CEST MRI quantification remains challenging because routine asymmetry analysis (MTRasym ) or Lorentzian decoupling measures a combined effect of the labile proton concentration and its exchange rate. Therefore, our study aimed to quantify amide proton concentration and exchange rate independently in a cardiac arrest-induced global ischemia rat model. METHODS The amide proton CEST (APT) effect was decoupled from tissue water, macromolecular magnetization transfer, nuclear Overhauser enhancement, guanidinium, and amine protons using the image downsampling expedited adaptive least-squares (IDEAL) fitting algorithm on Z-spectra obtained under multiple RF saturation power levels, before and after global ischemia. Omega plot analysis was applied to determine amide proton concentration and exchange rate simultaneously. RESULTS Global ischemia induces a significant APT signal drop from intact tissue. Using the modified omega plot analysis, we found that the amide proton exchange rate decreased from 29.6 ± 5.6 to 12.1 ± 1.3 s-1 (P < 0.001), whereas the amide proton concentration showed little change (0.241 ± 0.035% vs. 0.202 ± 0.034%, P = 0.074) following global ischemia. CONCLUSION Our study determined the labile proton concentration and exchange rate underlying the in vivo APT MRI. The significant change in the exchange rate, but not the concentration of amide proton demonstrated that the pH effect dominates the APT contrast during tissue ischemia.
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Affiliation(s)
- Yang Ji
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
- Wellcome Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Dongshuang Lu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Phillip Zhe Sun
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
- Emory Primate Imaging Center, Emory Primate Research Center, Emory University, Atlanta, GA, USA
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Iris Y. Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
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16
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Ning Y, Zhou IY, Rotile NJ, Pantazopoulos P, Wang H, Barrett SC, Sojoodi M, Tanabe KK, Caravan P. Dual Hydrazine-Equipped Turn-On Manganese-Based Probes for Magnetic Resonance Imaging of Liver Fibrogenesis. J Am Chem Soc 2022; 144:16553-16558. [PMID: 35998740 PMCID: PMC10083724 DOI: 10.1021/jacs.2c06231] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Liver fibrogenesis is accompanied by upregulation of lysyl oxidase enzymes, which catalyze oxidation of lysine ε-amino groups on the extracellular matrix proteins to form the aldehyde containing amino acid allysine (LysAld). Here, we describe the design and synthesis of novel manganese-based MRI probes with high signal amplification for imaging liver fibrogenesis. Rational design of a series of stable hydrazine-equipped manganese MRI probes gives Mn-2CHyd with the highest affinity and turn-on relaxivity (4-fold) upon reaction with LysAld. A dynamic PET-MRI study using [52Mn]Mn-2CHyd showed low liver uptake of the probe in healthy mice. The ability of the probe to detect liver fibrogenesis was then demonstrated in vivo in CCl4-injured mice. This study enables further development and application of manganese-based hydrazine-equipped probes for imaging liver fibrogenesis.
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Affiliation(s)
- Yingying Ning
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA
| | - Iris Y. Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA
| | - Nicholas J. Rotile
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA
| | - Pamela Pantazopoulos
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA
| | - Huan Wang
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA
| | - Stephen Cole Barrett
- Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Mozhdeh Sojoodi
- Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Kenneth K. Tanabe
- Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Peter Caravan
- Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA
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17
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Montesi SB, Zhou IY, Liang LL, Digumarthy SR, Mercaldo S, Mercaldo N, Seethamraju RT, Rosen BR, Caravan P. Dynamic contrast-enhanced magnetic resonance imaging of the lung reveals important pathobiology in idiopathic pulmonary fibrosis. ERJ Open Res 2021; 7:00907-2020. [PMID: 34760997 PMCID: PMC8573229 DOI: 10.1183/23120541.00907-2020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 07/21/2021] [Indexed: 01/02/2023] Open
Abstract
Introduction Evidence suggests that abnormalities occur in the lung microvasculature in idiopathic pulmonary fibrosis (IPF). We hypothesised that dynamic contrast-enhanced (DCE)-magnetic resonance imaging (MRI) could detect alterations in permeability, perfusion and extracellular extravascular volume in IPF, thus providing in vivo regional functional information not otherwise available. Methods Healthy controls and IPF subjects underwent DCE-MRI of the thorax using a dynamic volumetric radial sampling sequence and administration of gadoterate meglumine at a dose of 0.1 mmol·kg−1 at 2 mL·s−1. Model-free analysis of signal intensity versus time curves in regions of interest from a lower, middle and upper axial plane, a posterior coronal plane and the whole lung yielded parameters reflective of perfusion and permeability (peak enhancement and rate of contrast arrival (kwashin)) and the extracellular extravascular space (rate of contrast clearance (kwashout)). These imaging parameters were compared between IPF and healthy control subjects, and between fast/slow IPF progressors. Results IPF subjects (n=16, 56% male, age (range) 67.5 (60–79) years) had significantly reduced peak enhancement and slower kwashin in all measured lung regions compared to the healthy volunteers (n=17, 65% male, age (range) 58 (51–63) years) on unadjusted analyses consistent with microvascular alterations. kwashout, as a measure of the extravascular extracellular space, was significantly slower in the lower lung and posterior coronal regions in the IPF subjects consistent with an increased extravascular extracellular space. All estimates were attenuated after adjusting for age. Similar trends were observed, but only the associations with kwashin in certain lung regions remained statistically significant. Among IPF subjects, kwashout rates nearly perfectly discriminated between those with rapidly progressive disease versus those with stable/slowly progressive disease. Conclusions DCE-MRI detects changes in the microvasculature and extravascular extracellular space in IPF, thus providing in vivo regional functional information. Dynamic contrast-enhanced MRI demonstrates important in vivo lung regional microvascular and extravascular extracellular differences between IPF patients and healthy controls. These results signify IPF pathobiology and may have prognostic significance.https://bit.ly/3l14SWM
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Affiliation(s)
- Sydney B Montesi
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA.,Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,These authors contributed equally
| | - Iris Y Zhou
- Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.,Dept of Radiology, Massachusetts General Hospital, Boston, MA, USA.,These authors contributed equally
| | - Lloyd L Liang
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Subba R Digumarthy
- Harvard Medical School, Boston, MA, USA.,Dept of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Sarah Mercaldo
- Dept of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | | | | | - Bruce R Rosen
- Harvard Medical School, Boston, MA, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.,Dept of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Peter Caravan
- Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.,Dept of Radiology, Massachusetts General Hospital, Boston, MA, USA
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18
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Aarntzen E, Achilefu S, Akam EA, Albaghdadi M, Beer AJ, Bharti S, Bhujwalla ZM, Bischof GN, Biswal S, Boss M, Botnar RM, Brinson Z, Brom M, Buitinga M, Bulte JW, Caravan P, Chan HP, Chandy M, Chaney AM, Chen DL, Chen X(S, Chenevert TL, Coughlin JM, Covington MF, Cumming P, Daldrup-Link HE, Deal EM, de Galan B, Derlin T, Dewhirst MW, Di Paolo A, Drzezga A, Du Y, Thi-Quynh Duong M, Ehman RL, Eriksson O, Galli F, Gatenby RA, Gelovani J, Giehl K, Giger ML, Goel R, Gold G, Gotthardt M, Graham MM, Gropler RJ, Gründer G, Gulhane A, Hadjiiski L, Hajhosseiny R, Hammoud DA, Helfer BM, Hicks RJ, Higuchi T, Hoffman JM, Honer M, Huang SC(H, Hung J, Hwang DW, Jackson IM, Jacobs AH, Jaffer FA, Jain SK, James ML, Jansen T, Johansson L, Joosten L, Kakkad S, Kamson D, Kang SR, Kelly KA, Knopp MI, Knopp MV, Kogan F, Krishnamachary B, Künnecke B, Lee DS, Libby P, Luker GD, Luker KE, Makowski MR, Mankoff DA, Massoud TF, Meyer CR, Miller Z, Min JJ, Mondal SB, Montesi SB, Navin PJ, Nekolla SG, Niu G, Notohamiprodjo S, Ordoñez AA, Osborn EA, Pacheco-Torres J, Pagano G, Palmer GM, Paulmurugan R, Penet MF, Phinikaridou A, Pomper MG, Prieto C, Qi H, Raghunand N, Ramar T, Reynolds F, Ropella-Panagis K, Ross BD, Rowe SP, Rudin M, Sadaghiani MS, Sager H, Samala R, Saraste A, Schelhaas S, Schwaiger M, Schwarz SW, Seiberlich N, Shapiro MG, Shim H, Signore A, Solnes LB, Suh M, Tsien C, van Eimeren T, Varasteh Z, Venkatesh SK, Viel T, Waerzeggers Y, Wahl RL, Weber W, Werner RA, Winkeler A, Wong DF, Wright CL, Wu AM, Wu JC, Yoon D, You SH, Yuan C, Yuan H, Zanzonico P, Zhao XQ, Zhou IY, Zinnhardt B. Contributors. Mol Imaging 2021. [DOI: 10.1016/b978-0-12-816386-3.01004-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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19
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Zhou IY, Montesi SB, Akam EA, Caravan P. Molecular Imaging of Fibrosis. Mol Imaging 2021. [DOI: 10.1016/b978-0-12-816386-3.00077-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
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20
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Zhou IY, Tanabe KK, Fuchs BC, Caravan P. Collagen-targeted molecular imaging in diffuse liver diseases. Abdom Radiol (NY) 2020; 45:3545-3556. [PMID: 32737546 DOI: 10.1007/s00261-020-02677-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Revised: 07/10/2020] [Accepted: 07/18/2020] [Indexed: 12/14/2022]
Abstract
Liver fibrosis is a common pathway shared by all progressive chronic liver diseases (CLD) regardless of the underlying etiologies. With liver biopsy being the gold standard in assessing fibrosis degree, there is a large unmet clinical need to develop non-invasive imaging tools that can directly and repeatedly quantify fibrosis throughout the liver for a more accurate assessment of disease burden, progression, and treatment response. Type I collagen is a particularly attractive target for molecular imaging as its excessive deposition is specific to fibrosis, and it is present in concentrations suitable for many imaging modalities. Novel molecular MRI contrast agents designed to bind with collagen provide direct quantification of collagen deposition, which have been validated across animal species and liver injury models. Collagen-targeted molecular imaging probes hold great promise not only as a tool for initial staging and surveillance of fibrosis progression, but also as a marker of fibrosis regression in drug trials.
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Affiliation(s)
- Iris Y Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
- Harvard Medical School, 149 13th St, Boston, MA, 02129, USA
- Institute for Innovation in Imaging (i3), Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - Kenneth K Tanabe
- Division of Surgical Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Peter Caravan
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA.
- Harvard Medical School, 149 13th St, Boston, MA, 02129, USA.
- Institute for Innovation in Imaging (i3), Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
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21
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Zhou IY, Catalano OA, Caravan P. Advances in functional and molecular MRI technologies in chronic liver diseases. J Hepatol 2020; 73:1241-1254. [PMID: 32585160 PMCID: PMC7572718 DOI: 10.1016/j.jhep.2020.06.020] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 06/11/2020] [Accepted: 06/15/2020] [Indexed: 02/06/2023]
Abstract
MRI has emerged as the most comprehensive non-invasive diagnostic tool for liver diseases. In recent years, the value of MRI in hepatology has been significantly enhanced by a wide range of contrast agents, both clinically available and under development, that add functional information to anatomically detailed morphological images, or increase the distinction between normal and pathological tissues by targeting molecular and cellular events. Several classes of contrast agents are available for contrast-enhanced hepatic MRI, including i) conventional non-specific extracellular fluid contrast agents for assessing tissue perfusion; ii) hepatobiliary-specific contrast agents that are taken up by functioning hepatocytes and excreted through the biliary system for evaluating hepatobiliary function; iii) superparamagnetic iron oxide particles that accumulate in Kupffer cells; and iv) novel molecular contrast agents that are biochemically targeted to specific molecular/cellular processes for staging liver diseases or detecting treatment responses. The use of different functional and molecular MRI methods enables the non-invasive assessment of disease burden, progression, and treatment response in a variety of liver diseases. A high diagnostic performance can be achieved with MRI by combining imaging biomarkers.
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Affiliation(s)
- Iris Y. Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States.,Harvard Medical School, Boston, MA, USA,Institute for Innovation in Imaging (i3), Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - Onofrio A. Catalano
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States.,Harvard Medical School, Boston, MA, USA,Division of Abdominal Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States
| | - Peter Caravan
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States; Harvard Medical School, Boston, MA, USA; Institute for Innovation in Imaging (i(3)), Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
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22
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Abstract
Inflammatory bowel disease (IBD) is defined by a chronic relapsing and remitting inflammation of the gastrointestinal tract, with intestinal fibrosis being a major complication. The etiology of IBD remains unknown, but it is thought to arise from a dysregulated and excessive immune response to gut luminal microbes triggered by genetic and environmental factors. To date, IBD has no cure, and treatments are currently directed at relieving symptoms and treating inflammation. The current diagnostic of IBD relies on endoscopy, which is invasive and does not provide information on the presence of extraluminal complications and molecular aspect of the disease. Cross-sectional imaging modalities such as computed tomography enterography (CTE), magnetic resonance enterography (MRE), positron emission tomography (PET), single photon emission computed tomography (SPECT), and hybrid modalities have demonstrated high accuracy for the diagnosis of IBD and can provide both functional and morphological information when combined with the use of molecular imaging probes. This review presents the state-of-the-art imaging techniques and molecular imaging approaches in the field of IBD and points out future directions that could help improve our understanding of IBD pathological processes, along with the development of efficient treatments.
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Affiliation(s)
- Mariane Le Fur
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, The Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, MA, USA
| | - Iris Y Zhou
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, The Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, MA, USA
| | - Onofrio Catalano
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, The Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, MA, USA,The Division of Abdominal Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, MA, USA
| | - Peter Caravan
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, The Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, MA, USA,Address correspondence to: Peter Caravan, PhD, The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, The Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth Street, Charlestown 02129, MA, USA. E-mail:
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23
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Zhou IY, Clavijo Jordan V, Rotile NJ, Akam E, Krishnan S, Arora G, Krishnan H, Slattery H, Warner N, Mercaldo N, Farrar CT, Wellen J, Martinez R, Schlerman F, Tanabe KK, Fuchs BC, Caravan P. Advanced MRI of Liver Fibrosis and Treatment Response in a Rat Model of Nonalcoholic Steatohepatitis. Radiology 2020; 296:67-75. [PMID: 32343209 DOI: 10.1148/radiol.2020192118] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background Liver biopsy is the reference standard to diagnose nonalcoholic steatohepatitis (NASH) but is invasive with potential complications. Purpose To evaluate molecular MRI with type 1 collagen-specific probe EP-3533 and allysine-targeted fibrogenesis probe Gd-Hyd, MR elastography, and native T1 to characterize fibrosis and to assess treatment response in a rat model of NASH. Materials and Methods MRI was performed prospectively (June-November 2018) in six groups of male Wistar rats (a) age- and (b) weight-matched animals received standard chow (n = 12 per group); (c) received choline-deficient, l-amino acid-defined, high-fat diet (CDAHFD) for 6 weeks or (d) 9 weeks (n = 8 per group); (e) were fed 6 weeks of CDAHFD and switched to standard chow for 3 weeks (n = 12); (f) were fed CDAHFD for 9 weeks with daily treatment of elafibranor beginning at week 6 (n = 14). Differences in imaging measurements and tissue analyses among groups were tested with one-way analysis of variance. The ability of each imaging measurement to stage fibrosis was quantified by using area under the receiver operating characteristic curve (AUC) with quantitative digital pathology (collagen proportionate area [CPA]) as reference standard. Optimal cutoff values for distinguishing advanced fibrosis were used to assess treatment response. Results AUC for distinguishing fibrotic (CPA >4.8%) from nonfibrotic (CPA ≤4.8%) livers was 0.95 (95% confidence interval [CI]: 0.91, 1.00) for EP-3533, followed by native T1, Gd-Hyd, and MR elastography with AUCs of 0.90 (95% CI: 0.83, 0.98), 0.84 (95% CI: 0.74, 0.95), and 0.65 (95% CI: 0.51, 0.79), respectively. AUCs for discriminating advanced fibrosis (CPA >10.3%) were 0.86 (95% CI: 0.76, 0.97), 0.96 (95% CI: 0.90, 1.01), 0.84 (95% CI: 0.70, 0.98), and 0.74 (95% CI: 0.63, 0.86) for EP-3533, Gd-Hyd, MR elastography, and native T1, respectively. Gd-Hyd MRI had the highest accuracy (24 of 26, 92%; 95% CI: 75%, 99%) in identifying responders and nonresponders in the treated groups compared with MR elastography (23 of 26, 88%; 95% CI: 70%, 98%), EP-3533 (20 of 26, 77%; 95% CI: 56%, 91%), and native T1 (14 of 26, 54%; 95% CI: 33%, 73%). Conclusion Collagen-targeted molecular MRI most accurately detected early onset of fibrosis, whereas the fibrogenesis probe Gd-Hyd proved most accurate for detecting treatment response. © RSNA, 2020 Online supplemental material is available for this article.
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Affiliation(s)
- Iris Y Zhou
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Veronica Clavijo Jordan
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Nicholas J Rotile
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Eman Akam
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Smitha Krishnan
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Gunisha Arora
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Hema Krishnan
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Hannah Slattery
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Noah Warner
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Nathaniel Mercaldo
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Christian T Farrar
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Jeremy Wellen
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Robert Martinez
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Franklin Schlerman
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Kenneth K Tanabe
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Bryan C Fuchs
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
| | - Peter Caravan
- From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department of Radiology (N.M.), Massachusetts General Hospital and Harvard Medical School, Charlestown, 149 13th St, Boston, MA 02129; and Pfizer, Cambridge, Mass (J.W., R.M., F.S.)
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Akam EA, Abston E, Rotile NJ, Slattery HR, Zhou IY, Lanuti M, Caravan P. Improving the reactivity of hydrazine-bearing MRI probes for in vivo imaging of lung fibrogenesis. Chem Sci 2020; 11:224-231. [PMID: 32728411 PMCID: PMC7362876 DOI: 10.1039/c9sc04821a] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Accepted: 11/08/2019] [Indexed: 12/12/2022] Open
Abstract
Pulmonary fibrosis (PF) is the pathologic accumulation of extracellular matrix components in lung tissue that result in scarring following chronic lung injury. PF is typically diagnosed by high resolution computed tomography (HRCT) and/or invasive biopsy. However, HRCT cannot distinguish old injury from active fibrogenesis. We previously demonstrated that allysine residues on oxidized collagen represent an abundant target during lung fibrogenesis, and that magnetic resonance imaging (MRI) with a small-molecule, gadolinium-containing probe, Gd-Hyd, could specifically detect and stage fibrogenesis in a mouse model. In this work, we present an improved probe, Gd-CHyd, featuring an N,N-dialkyl hydrazine which has an order of magnitude both greater reactivity and affinity for aldehydes. In a paired study in mice with bleomycin induced lung injury we show that the improved reactivity and affinity of Gd-CHyd results in significantly higher lung-to-liver contrast, e.g. 77% higher at 45 min post injection, and slower lung clearance than Gd-Hyd. Gd-CHyd enhanced MRI is >60-fold higher in bleomycin injured mouse lungs compared to uninjured mice. Collectively, our data indicate that enhancing hydrazine reactivity and affinity towards allysine is an effective strategy to significantly improve molecular MRI probes for lung fibrogenesis.
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Affiliation(s)
- Eman A Akam
- Martinos Center for Biomedical Imaging , Massachusetts General Hospital (MGH) , Boston , USA .
- The Institute for Innovation in Imaging , MGH , Boston , USA
- Harvard Medical School , Boston , USA
| | - Eric Abston
- Martinos Center for Biomedical Imaging , Massachusetts General Hospital (MGH) , Boston , USA .
- Boston University School of Medicine: Pulmonary , Allergy, Sleep & Critical Care Medicine , Boston , USA
- The Division of Thoracic Surgery , MGH , Boston , USA
| | - Nicholas J Rotile
- Martinos Center for Biomedical Imaging , Massachusetts General Hospital (MGH) , Boston , USA .
- The Institute for Innovation in Imaging , MGH , Boston , USA
| | - Hannah R Slattery
- Martinos Center for Biomedical Imaging , Massachusetts General Hospital (MGH) , Boston , USA .
- The Institute for Innovation in Imaging , MGH , Boston , USA
| | - Iris Y Zhou
- Martinos Center for Biomedical Imaging , Massachusetts General Hospital (MGH) , Boston , USA .
- The Institute for Innovation in Imaging , MGH , Boston , USA
- Harvard Medical School , Boston , USA
| | - Michael Lanuti
- Harvard Medical School , Boston , USA
- The Division of Thoracic Surgery , MGH , Boston , USA
| | - Peter Caravan
- Martinos Center for Biomedical Imaging , Massachusetts General Hospital (MGH) , Boston , USA .
- The Institute for Innovation in Imaging , MGH , Boston , USA
- Harvard Medical School , Boston , USA
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25
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Luo J, Abaci Turk E, Gagoski B, Copeland N, Zhou IY, Young V, Bibbo C, Robinson JN, Zera C, Barth WH, Roberts DJ, Sun PZ, Grant PE. Preliminary evaluation of dynamic glucose enhanced MRI of the human placenta during glucose tolerance test. Quant Imaging Med Surg 2019; 9:1619-1627. [PMID: 31728306 DOI: 10.21037/qims.2019.09.16] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background To investigate dynamic glucose enhanced (DGE) chemical exchange saturation transfer (CEST) MRI as a means to non-invasively image glucose transport in the human placenta. Methods Continuous wave (CW) CEST MRI was performed at 3.0 Tesla. The glucose contrast enhancement (GCE) was calculated based on the magnetization transfer asymmetry (MTRasym), and the DGE was calculated with the positive side of Z-spectra in reference to the first time point. The glucose CEST (GlucoCEST) was optimized using a glucose solution phantom. Glucose solution perfused ex vivo placenta tissue was used to demonstrate GlucoCEST MRI effect. The vascular density of ex vivo placental tissue was evaluated with yellow dye after MRI scans. Finally, we preliminarily demonstrated GlucoCEST MRI in five pregnant subjects who received a glucose tolerance test. For human studies, the dynamic R2* change was captured with T2*-weighted echo planar imaging (EPI). Results The GCE effect peaks at a saturation B1 field of about 2 μT, and the GlucoCEST effect increases linearly with the glucose concentration between 4-20 mM. In ex vivo tissue, the GlucoCEST MRI was sensitive to the glucose perfusate and the placenta vascular density. Although the in vivo GCE baseline was sensitive to field inhomogeneity and motion artifacts, the temporal evolution of the GlucoCEST effect showed a consistent and positive response after oral glucose tolerance drink. Conclusions Despite the challenges of placental motion and field inhomogeneity, our study demonstrated the feasibility of DGE placenta MRI at 3.0 Tesla.
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Affiliation(s)
- Jie Luo
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.,Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, USA
| | - Esra Abaci Turk
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, USA
| | - Borjan Gagoski
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, USA
| | - Natalie Copeland
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, USA
| | - Iris Y Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - Vanessa Young
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, USA
| | - Carolina Bibbo
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA, USA
| | - Julian N Robinson
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA, USA
| | - Chloe Zera
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA, USA
| | - William H Barth
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA
| | - Drucilla J Roberts
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Phillip Zhe Sun
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.,Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - P Ellen Grant
- Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, USA
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26
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Cao P, Hyder F, Zhou IY, Zhang JW, Xie VB, Tsang A, Wu EX. Simultaneous spin-echo and gradient-echo BOLD measurements by dynamic MRS. NMR Biomed 2017; 30:e3745. [PMID: 28574615 DOI: 10.1002/nbm.3745] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2016] [Revised: 03/22/2017] [Accepted: 04/10/2017] [Indexed: 06/07/2023]
Abstract
This study aimed to dissociate the intravascular and extravascular contributions to spin-echo (SE) and gradient-echo (GE) blood oxygenation level-dependent (BOLD) signals at 7 T, using dynamic diffusion-weighted MRS. We simultaneously acquired SE and GE data using a point-resolved spectroscopy sequence with diffusion weightings of 0, 600, and 1200 s/mm2 . The BOLD signals were quantified by fitting the free induction decays starting from the SE center to a mono-exponential decay function. Without diffusion weighting, BOLD signals measured with SE and GE increased by 1.6 ± 0.5% (TESE = 40 ms) and 5.2 ± 1.4% (nominal TEGE = 40 ms) during stimulation, respectively. With diffusion weighting, the BOLD increase during stimulation measured with SE decreased from 1.6 ± 0.5% to 1.3 ± 0.4% (P < 0.001), whereas that measured by GE was unaffected (P > 0.05); the post-stimulation undershoots in the BOLD signal time courses were largely preserved in both SE and GE measurements. These results demonstrated the feasiblity of simultaneous SE and GE measurements of BOLD signals with and without interleaved diffusion weighting. The results also indicated a predominant extravascular contribution to the BOLD signal time courses, including post-stimulation undershoots in both SE and GE measurements at 7 T.
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Affiliation(s)
- Peng Cao
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong, SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, SAR, China
- Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, CA, USA
| | - Fahmeed Hyder
- Departments of Diagnostic Radiology and Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Iris Y Zhou
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong, SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, SAR, China
| | - Jevin W Zhang
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong, SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, SAR, China
| | - Victor B Xie
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong, SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, SAR, China
| | - Adrian Tsang
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong, SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, SAR, China
| | - Ed X Wu
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong, SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, SAR, China
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27
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Wu Y, Zhou IY, Igarashi T, Longo DL, Aime S, Sun PZ. A generalized ratiometric chemical exchange saturation transfer (CEST) MRI approach for mapping renal pH using iopamidol. Magn Reson Med 2017; 79:1553-1558. [PMID: 28686805 DOI: 10.1002/mrm.26817] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2017] [Revised: 06/06/2017] [Accepted: 06/11/2017] [Indexed: 12/21/2022]
Abstract
PURPOSE To extend the pH detection range of iopamidol-based ratiometric chemical exchange saturation transfer (CEST) MRI at sub-high magnetic field and establish quantitative renal pH MRI. METHODS Chemical exchange saturation transfer imaging was performed on iopamidol phantoms with pH of 5.5 to 8.0 and in vivo on rat kidneys (n = 5) during iopamidol administration at a 4.7 T. Iopamidol CEST effects were described using a multipool Lorentzian model. A generalized ratiometric analysis was conducted by ratioing resolved iopamidol CEST effects at 4.3 and 5.5 ppm obtained under 1.0 and 2.0 µT, respectively. The pH detection range was established for both the standard ratiometric analysis and the proposed resolved approach. Renal pH was mapped in vivo with regional pH assessed by one-way analysis of variance. RESULTS Good-fitting performance was observed in multipool Lorentzian resolving of CEST effects (R2 s > 0.99). The proposed approach extends the in vitro pH detection range to 5.5 to 7.5 at 4.7 T. In vivo renal pH was measured to be 7.0 ± 0.1, 6.8 ± 0.1, and 6.5 ± 0.2 for cortex, medulla and calyx, respectively (P < 0.05). CONCLUSIONS The proposed ratiometric approach extended the iopamidol pH detection range, enabling the renal pH mapping in vivo, which is promising for pH imaging studies at sub-high or low fields with potential clinical applicability. Magn Reson Med 79:1553-1558, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Yin Wu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA.,Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Key Laboratory for MRI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Iris Y Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
| | - Takahiro Igarashi
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
| | - Dario L Longo
- Institute of Biostructure and Bioimaging (CNR) c/o Molecular Biotechnology Center, University of Torino, Torino, Italy
| | - Silvio Aime
- Department of Molecular Biotechnology and Health Sciences, Molecular Imaging Center, University of Torino, Torino, Italy
| | - Phillip Zhe Sun
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
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Chan KC, Zhou IY, Liu SS, van der Merwe Y, Fan SJ, Hung VK, Chung SK, Wu WT, So KF, Wu EX. Longitudinal Assessments of Normal and Perilesional Tissues in Focal Brain Ischemia and Partial Optic Nerve Injury with Manganese-enhanced MRI. Sci Rep 2017; 7:43124. [PMID: 28230106 PMCID: PMC5322351 DOI: 10.1038/srep43124] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Accepted: 01/19/2017] [Indexed: 01/07/2023] Open
Abstract
Although manganese (Mn) can enhance brain tissues for improving magnetic resonance imaging (MRI) assessments, the underlying neural mechanisms of Mn detection remain unclear. In this study, we used Mn-enhanced MRI to test the hypothesis that different Mn entry routes and spatiotemporal Mn distributions can reflect different mechanisms of neural circuitry and neurodegeneration in normal and injured brains. Upon systemic administration, exogenous Mn exhibited varying transport rates and continuous redistribution across healthy rodent brain nuclei over a 2-week timeframe, whereas in rodents following photothrombotic cortical injury, transient middle cerebral artery occlusion, or neonatal hypoxic-ischemic brain injury, Mn preferentially accumulated in perilesional tissues expressing gliosis or oxidative stress within days. Intravitreal Mn administration to healthy rodents not only allowed tracing of primary visual pathways, but also enhanced the hippocampus and medial amygdala within a day, whereas partial transection of the optic nerve led to MRI detection of degrading anterograde Mn transport at the primary injury site and the perilesional tissues secondarily over 6 weeks. Taken together, our results indicate the different Mn transport dynamics across widespread projections in normal and diseased brains. Particularly, perilesional brain tissues may attract abnormal Mn accumulation and gradually reduce anterograde Mn transport via specific Mn entry routes.
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Affiliation(s)
- Kevin C Chan
- NeuroImaging Laboratory, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.,UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.,Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.,Center for the Neural Basis of Cognition, University of Pittsburgh and Carnegie Mellon University, Pittsburgh, Pennsylvania, United States.,Louis J. Fox Center for Vision Restoration, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.,New York University (NYU) Langone Eye Center, NYU Langone Medical Center, Department of Ophthalmology, NYU School of Medicine, New York, New York, United States.,Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Iris Y Zhou
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China.,Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, United States
| | - Stanley S Liu
- NeuroImaging Laboratory, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Yolandi van der Merwe
- NeuroImaging Laboratory, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.,UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.,Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Shu-Juan Fan
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Victor K Hung
- School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Sookja K Chung
- School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong, China.,Department of Ophthalmology, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Wu-Tian Wu
- School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Kwok-Fai So
- School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong, China.,Department of Ophthalmology, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Ed X Wu
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China.,School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong, China
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Chan RW, Ho LC, Zhou IY, Gao PP, Chan KC, Wu EX. Structural and Functional Brain Remodeling during Pregnancy with Diffusion Tensor MRI and Resting-State Functional MRI. PLoS One 2015; 10:e0144328. [PMID: 26658306 PMCID: PMC4675543 DOI: 10.1371/journal.pone.0144328] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2015] [Accepted: 11/17/2015] [Indexed: 01/25/2023] Open
Abstract
Although pregnancy-induced hormonal changes have been shown to alter the brain at the neuronal level, the exact effects of pregnancy on brain at the tissue level remain unclear. In this study, diffusion tensor imaging (DTI) and resting-state functional MRI (rsfMRI) were employed to investigate and document the effects of pregnancy on the structure and function of the brain tissues. Fifteen Sprague-Dawley female rats were longitudinally studied at three days before mating (baseline) and seventeen days after mating (G17). G17 is equivalent to the early stage of the third trimester in humans. Seven age-matched nulliparous female rats served as non-pregnant controls and were scanned at the same time-points. For DTI, diffusivity was found to generally increase in the whole brain during pregnancy, indicating structural changes at microscopic levels that facilitated water molecular movement. Regionally, mean diffusivity increased more pronouncedly in the dorsal hippocampus while fractional anisotropy in the dorsal dentate gyrus increased significantly during pregnancy. For rsfMRI, bilateral functional connectivity in the hippocampus increased significantly during pregnancy. Moreover, fractional anisotropy increase in the dentate gyrus appeared to correlate with the bilateral functional connectivity increase in the hippocampus. These findings revealed tissue structural modifications in the whole brain during pregnancy, and that the hippocampus was structurally and functionally remodeled in a more marked manner.
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Affiliation(s)
- Russell W. Chan
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Leon C. Ho
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Iris Y. Zhou
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Patrick P. Gao
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Kevin C. Chan
- UPMC Eye Center, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA, United States of America
| | - Ed X. Wu
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- * E-mail:
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Chan KC, Fan SJ, Chan RW, Cheng JS, Zhou IY, Wu EX. In vivo visuotopic brain mapping with manganese-enhanced MRI and resting-state functional connectivity MRI. Neuroimage 2014; 90:235-45. [PMID: 24394694 PMCID: PMC3951771 DOI: 10.1016/j.neuroimage.2013.12.056] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2013] [Revised: 12/16/2013] [Accepted: 12/23/2013] [Indexed: 12/16/2022] Open
Abstract
The rodents are an increasingly important model for understanding the mechanisms of development, plasticity, functional specialization and disease in the visual system. However, limited tools have been available for assessing the structural and functional connectivity of the visual brain network globally, in vivo and longitudinally. There are also ongoing debates on whether functional brain connectivity directly reflects structural brain connectivity. In this study, we explored the feasibility of manganese-enhanced MRI (MEMRI) via 3 different routes of Mn(2+) administration for visuotopic brain mapping and understanding of physiological transport in normal and visually deprived adult rats. In addition, resting-state functional connectivity MRI (RSfcMRI) was performed to evaluate the intrinsic functional network and structural-functional relationships in the corresponding anatomical visual brain connections traced by MEMRI. Upon intravitreal, subcortical, and intracortical Mn(2+) injection, different topographic and layer-specific Mn enhancement patterns could be revealed in the visual cortex and subcortical visual nuclei along retinal, callosal, cortico-subcortical, transsynaptic and intracortical horizontal connections. Loss of visual input upon monocular enucleation to adult rats appeared to reduce interhemispheric polysynaptic Mn(2+) transfer but not intra- or inter-hemispheric monosynaptic Mn(2+) transport after Mn(2+) injection into visual cortex. In normal adults, both structural and functional connectivity by MEMRI and RSfcMRI was stronger interhemispherically between bilateral primary/secondary visual cortex (V1/V2) transition zones (TZ) than between V1/V2 TZ and other cortical nuclei. Intrahemispherically, structural and functional connectivity was stronger between visual cortex and subcortical visual nuclei than between visual cortex and other subcortical nuclei. The current results demonstrated the sensitivity of MEMRI and RSfcMRI for assessing the neuroarchitecture, neurophysiology and structural-functional relationships of the visual brains in vivo. These may possess great potentials for effective monitoring and understanding of the basic anatomical and functional connections in the visual system during development, plasticity, disease, pharmacological interventions and genetic modifications in future studies.
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Affiliation(s)
- Kevin C Chan
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China; Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China; UPMC Eye Center, Ophthalmology and Visual Science Research Center, Louis J. Fox Center for Vision Restoration, Department of Ophthalmology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA; Center for the Neural Basis of Cognition, University of Pittsburgh and Carnegie Mellon University, Pittsburgh, PA, USA; McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Shu-Juan Fan
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China; Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Russell W Chan
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China; Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Joe S Cheng
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China; Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Iris Y Zhou
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China; Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Ed X Wu
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China; Department of Anatomy, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
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31
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Cheng JS, Gao PP, Zhou IY, Chan RW, Chan Q, Mak HK, Khong PL, Wu EX. Resting-state fMRI using passband balanced steady-state free precession. PLoS One 2014; 9:e91075. [PMID: 24622278 PMCID: PMC3951283 DOI: 10.1371/journal.pone.0091075] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2013] [Accepted: 02/09/2014] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVE Resting-state functional MRI (rsfMRI) has been increasingly used for understanding brain functional architecture. To date, most rsfMRI studies have exploited blood oxygenation level-dependent (BOLD) contrast using gradient-echo (GE) echo planar imaging (EPI), which can suffer from image distortion and signal dropout due to magnetic susceptibility and inherent long echo time. In this study, the feasibility of passband balanced steady-state free precession (bSSFP) imaging for distortion-free and high-resolution rsfMRI was investigated. METHODS rsfMRI was performed in humans at 3 T and in rats at 7 T using bSSFP with short repetition time (TR = 4/2.5 ms respectively) in comparison with conventional GE-EPI. Resting-state networks (RSNs) were detected using independent component analysis. RESULTS AND SIGNIFICANCE RSNs derived from bSSFP images were shown to be spatially and spectrally comparable to those derived from GE-EPI images with considerable intra- and inter-subject reproducibility. High-resolution bSSFP images corresponded well to the anatomical images, with RSNs exquisitely co-localized to the gray matter. Furthermore, RSNs at areas of severe susceptibility such as human anterior prefrontal cortex and rat piriform cortex were proved accessible. These findings demonstrated for the first time that passband bSSFP approach can be a promising alternative to GE-EPI for rsfMRI. It offers distortion-free and high-resolution RSNs and is potentially suited for high field studies.
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Affiliation(s)
- Joe S. Cheng
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China
| | - Patrick P. Gao
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China
| | - Iris Y. Zhou
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China
| | - Russell W. Chan
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China
| | | | - Henry K. Mak
- Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, China
| | - Pek L. Khong
- Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, China
| | - Ed X. Wu
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China
- Department of Anatomy, The University of Hong Kong, Hong Kong SAR, China
- Department of Medicine, The University of Hong Kong, Hong Kong SAR, China
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Zhou IY, Gao DS, Chow AM, Fan S, Cheung MM, Ling C, Liu X, Cao P, Guo H, Man K, Wu EX. Effect of diffusion time on liver DWI: An experimental study of normal and fibrotic livers. Magn Reson Med 2013; 72:1389-96. [DOI: 10.1002/mrm.25035] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2013] [Revised: 10/15/2013] [Accepted: 10/16/2013] [Indexed: 01/14/2023]
Affiliation(s)
- Iris Y. Zhou
- Laboratory of Biomedical Imaging and Signal Processing; The University of Hong Kong; Pokfulam Hong Kong SAR China
- Department of Electrical and Electronic Engineering; The University of Hong Kong; Pokfulam Hong Kong SAR China
| | - Darwin S. Gao
- Laboratory of Biomedical Imaging and Signal Processing; The University of Hong Kong; Pokfulam Hong Kong SAR China
- Department of Electrical and Electronic Engineering; The University of Hong Kong; Pokfulam Hong Kong SAR China
| | - April M. Chow
- Laboratory of Biomedical Imaging and Signal Processing; The University of Hong Kong; Pokfulam Hong Kong SAR China
- Department of Electrical and Electronic Engineering; The University of Hong Kong; Pokfulam Hong Kong SAR China
| | - Shujuan Fan
- Laboratory of Biomedical Imaging and Signal Processing; The University of Hong Kong; Pokfulam Hong Kong SAR China
- Department of Electrical and Electronic Engineering; The University of Hong Kong; Pokfulam Hong Kong SAR China
| | - Matthew M. Cheung
- Laboratory of Biomedical Imaging and Signal Processing; The University of Hong Kong; Pokfulam Hong Kong SAR China
- Department of Electrical and Electronic Engineering; The University of Hong Kong; Pokfulam Hong Kong SAR China
| | - Changchun Ling
- Department of Surgery; The University of Hong Kong; Pokfulam Hong Kong SAR China
| | - Xiaobing Liu
- Department of Surgery; The University of Hong Kong; Pokfulam Hong Kong SAR China
| | - Peng Cao
- Laboratory of Biomedical Imaging and Signal Processing; The University of Hong Kong; Pokfulam Hong Kong SAR China
- Department of Electrical and Electronic Engineering; The University of Hong Kong; Pokfulam Hong Kong SAR China
| | - Hua Guo
- Center for Biomedical Imaging Research; Department of Biomedical Engineering; School of Medicine; Tsinghua University; Beijing China
| | - Kwan Man
- Department of Surgery; The University of Hong Kong; Pokfulam Hong Kong SAR China
| | - Ed X. Wu
- Laboratory of Biomedical Imaging and Signal Processing; The University of Hong Kong; Pokfulam Hong Kong SAR China
- Department of Electrical and Electronic Engineering; The University of Hong Kong; Pokfulam Hong Kong SAR China
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Zhou IY, Chan RW, Ho LC, Wu EX. Longitudinal metabolic changes in the hippocampus and thalamus of the maternal brain revealed by proton magnetic resonance spectroscopy. Neurosci Lett 2013; 553:170-5. [DOI: 10.1016/j.neulet.2013.08.041] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2013] [Revised: 08/05/2013] [Accepted: 08/20/2013] [Indexed: 10/26/2022]
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Zhou IY, Liang YX, Chan RW, Gao PP, Cheng JS, Hu Y, So KF, Wu EX. Brain resting-state functional MRI connectivity: morphological foundation and plasticity. Neuroimage 2013; 84:1-10. [PMID: 23988270 DOI: 10.1016/j.neuroimage.2013.08.037] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2013] [Revised: 07/26/2013] [Accepted: 08/16/2013] [Indexed: 01/21/2023] Open
Abstract
Despite the immense ongoing efforts to map brain functional connections and organizations with resting-state functional MRI (rsfMRI), the mechanisms governing the temporally coherent rsfMRI signals remain unclear. In particular, there is a lack of direct evidence regarding the morphological foundation and plasticity of these rsfMRI derived connections. In this study, we investigated the role of axonal projections in rsfMRI connectivity and its plasticity. Well-controlled rodent models of complete and posterior corpus callosotomy were longitudinally examined with rsfMRI at 7T in conjunction with intracortical EEG recording and functional MRI tracing of interhemispheric neuronal pathways by manganese (Mn(2+)). At post-callosotomy day 7, significantly decreased interhemispheric rsfMRI connectivity was observed in both groups in the specific cortical areas whose callosal connections were severed. At day 28, the disrupted connectivity was restored in the partial callosotomy group but not in the complete callosotomy group, likely due to the compensation that occurred through the remaining interhemispheric axonal pathways. This restoration - along with the increased intrahemispheric functional connectivity observed in both groups at day 28 - highlights the remarkable adaptation and plasticity in brain rsfMRI connections. These rsfMRI findings were paralleled by the intracortical EEG recording and Mn(2+) tracing results. Taken together, our experimental results directly demonstrate that axonal connections are the indispensable foundation for rsfMRI connectivity and that such functional connectivity can be plastic and dynamically reorganized atop the morphological connections.
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Affiliation(s)
- Iris Y Zhou
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong, China; Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China
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Lau C, Zhang JW, Cheng JS, Zhou IY, Cheung MM, Wu EX. Noninvasive fMRI investigation of interaural level difference processing in the rat auditory subcortex. PLoS One 2013; 8:e70706. [PMID: 23940631 PMCID: PMC3733930 DOI: 10.1371/journal.pone.0070706] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2013] [Accepted: 06/21/2013] [Indexed: 12/02/2022] Open
Abstract
Objective Interaural level difference (ILD) is the difference in sound pressure level (SPL) between the two ears and is one of the key physical cues used by the auditory system in sound localization. Our current understanding of ILD encoding has come primarily from invasive studies of individual structures, which have implicated subcortical structures such as the cochlear nucleus (CN), superior olivary complex (SOC), lateral lemniscus (LL), and inferior colliculus (IC). Noninvasive brain imaging enables studying ILD processing in multiple structures simultaneously. Methods In this study, blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI) is used for the first time to measure changes in the hemodynamic responses in the adult Sprague-Dawley rat subcortex during binaural stimulation with different ILDs. Results and Significance Consistent responses are observed in the CN, SOC, LL, and IC in both hemispheres. Voxel-by-voxel analysis of the change of the response amplitude with ILD indicates statistically significant ILD dependence in dorsal LL, IC, and a region containing parts of the SOC and LL. For all three regions, the larger amplitude response is located in the hemisphere contralateral from the higher SPL stimulus. These findings are supported by region of interest analysis. fMRI shows that ILD dependence occurs in both hemispheres and multiple subcortical levels of the auditory system. This study is the first step towards future studies examining subcortical binaural processing and sound localization in animal models of hearing.
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Affiliation(s)
- Condon Lau
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong, China
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Ding AY, Li Q, Zhou IY, Ma SJ, Tong G, McAlonan GM, Wu EX. MR diffusion tensor imaging detects rapid microstructural changes in amygdala and hippocampus following fear conditioning in mice. PLoS One 2013; 8:e51704. [PMID: 23382811 PMCID: PMC3559642 DOI: 10.1371/journal.pone.0051704] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2012] [Accepted: 11/05/2012] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Following fear conditioning (FC), ex vivo evidence suggests that early dynamics of cellular and molecular plasticity in amygdala and hippocampal circuits mediate responses to fear. Such altered dynamics in fear circuits are thought to be etiologically related to anxiety disorders including posttraumatic stress disorder (PTSD). Consistent with this, neuroimaging studies of individuals with established PTSD in the months after trauma have revealed changes in brain regions responsible for processing fear. However, whether early changes in fear circuits can be captured in vivo is not known. METHODS We hypothesized that in vivo magnetic resonance diffusion tensor imaging (DTI) would be sensitive to rapid microstructural changes elicited by FC in an experimental mouse PTSD model. We employed a repeated measures paired design to compare in vivo DTI measurements before, one hour after, and one day after FC-exposed mice (n=18). RESULTS Using voxel-wise repeated measures analysis, fractional anisotropy (FA) significantly increased then decreased in amygdala, decreased then increased in hippocampus, and was increasing in cingulum and adjacent gray matter one hour and one day post-FC respectively. These findings demonstrate that DTI is sensitive to early changes in brain microstructure following FC, and that FC elicits distinct, rapid in vivo responses in amygdala and hippocampus. CONCLUSIONS Our results indicate that DTI can detect rapid microstructural changes in brain regions known to mediate fear conditioning in vivo. DTI indices could be explored as a translational tool to capture potential early biological changes in individuals at risk for developing PTSD.
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Affiliation(s)
- Abby Y. Ding
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China
| | - Qi Li
- Department of Psychiatry, The University of Hong Kong, Hong Kong SAR, China
- Centre for Reproduction Growth and Development, The University of Hong Kong, Hong Kong SAR, China
| | - Iris Y. Zhou
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China
| | - Samantha J. Ma
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China
| | - Gehua Tong
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China
| | - Grainne M. McAlonan
- Department of Psychiatry, The University of Hong Kong, Hong Kong SAR, China
- Centre for Reproduction Growth and Development, The University of Hong Kong, Hong Kong SAR, China
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, King’s College London
| | - Ed X. Wu
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China
- Department of Anatomy, The University of Hong Kong, Hong Kong SAR, China
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Zhou IY, Ding AY, Li Q, McAlonan GM, Wu EX. Magnetic resonance spectroscopy reveals N-acetylaspartate reduction in hippocampus and cingulate cortex after fear conditioning. Psychiatry Res 2012; 204:178-83. [PMID: 23137804 DOI: 10.1016/j.pscychresns.2012.09.010] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2012] [Revised: 06/22/2012] [Accepted: 09/28/2012] [Indexed: 10/27/2022]
Abstract
The fear conditioning in rodents provides a valuable translational tool to investigate the neural basis of learning and memory and potentially the neurobiology of post-traumatic stress disorder (PTSD). Neurobiological changes induced by fear conditioning have largely been examined ex vivo while progressive 'real-time' changes in vivo remain under-explored. Single voxel proton magnetic resonance spectroscopy (1H MRS) of the hippocampus, cingulate cortex and thalamus of adult male C57BL/6N mice (N=12) was performed at 1 day before, 1 day and 1 week after, fear conditioning training using a 7T scanner. N-acetylaspartate (NAA), a marker for neuronal integrity and viability, significantly decreased in the hippocampus at 1 day and 1 week post-conditioning. Significant NAA reduction was also observed in the cingulate cortex at 1 day post-conditioning. These findings of hippocampal NAA decrease indicate reduced neuronal dysfunction and/or neuronal integrity, contributing to the trauma-related PTSD-like symptoms. The neurochemical changes characterized by 1H MRS can shed light on the biochemical mechanisms of learning and memory. Moreover, such information can potentially facilitate prompt intervention for patients with psychiatric disorders.
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Affiliation(s)
- Iris Y Zhou
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong Special Administrative Region, China
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Chan KC, Cheng JS, Fan S, Zhou IY, Wu EX. In vivo manganese-enhanced MRI and diffusion tensor imaging of developing and impaired visual brains. Annu Int Conf IEEE Eng Med Biol Soc 2012; 2011:7005-8. [PMID: 22255951 DOI: 10.1109/iembs.2011.6091771] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
This study explored the feasibility of high-resolution Mn-enhanced MRI (MEMRI) and diffusion tensor imaging (DTI) for in vivo assessments of the development and reorganization of retinal and visual callosal pathways in normal neonatal rodent brains and after early postnatal visual impairments. Using MEMRI, intravitreal Mn(2+) injection into one eye resulted in maximal T1-weighted hyperintensity in neonatal contralateral superior colliculus (SC) 8 hours after administration, whereas in adult contralateral SC signal increase continued at 1 day post-injection. Notably, mild but significant Mn(2+) enhancement was observed in the ipsilateral SC in normal neonatal rats, and in adult rats after neonatal monocular enucleation (ME) but not in normal adult rats. Upon intracortical Mn(2+) injection to the visual cortex, neonatal binocularly-enucleated (BE) rats showed an enhancement of a larger projection area, via the splenium of corpus callosum to the V1/V2 transition zone of the contralateral hemisphere in comparison to normal rats. For DTI, the retinal pathways projected from the enucleated eyes possessed lower fractional anisotropy (FA) 6 weeks after BE and ME. Interestingly, in the optic nerve projected from the remaining eye in ME rats a significantly higher FA was observed compared to normal rats. The results of this study are potentially important for understanding the axonal transport, microstructural reorganization and functional activities in the living visual brain during early postnatal development and plasticity in a global and longitudinal setting.
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Affiliation(s)
- Kevin C Chan
- Laboratory of Biomedical Imaging and Signal Processing and the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China.
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Cheung MM, Lau C, Zhou IY, Chan KC, Zhang JW, Fan SJ, Wu EX. High fidelity tonotopic mapping using swept source functional magnetic resonance imaging. Neuroimage 2012; 61:978-86. [PMID: 22445952 DOI: 10.1016/j.neuroimage.2012.03.031] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2011] [Revised: 03/05/2012] [Accepted: 03/06/2012] [Indexed: 11/25/2022] Open
Abstract
Tonotopy, the topographic encoding of sound frequency, is the fundamental property of the auditory system. Invasive techniques lack the spatial coverage or frequency resolution to rigorously investigate tonotopy. Conventional auditory fMRI is corrupted by significant image distortion, sporadic acoustic noise and inadequate frequency resolution. We developed an efficient and high fidelity auditory fMRI method that integrates continuous frequency sweeping stimulus, distortion free MRI sequence with stable scanner noise and Fourier analysis. We demonstrated this swept source imaging (SSI) in the rat inferior colliculus and obtained tonotopic maps with ~2 kHz resolution and 40 kHz bandwidth. The results were vastly superior to those obtained by conventional fMRI mapping approach and in excellent agreement with invasive findings. We applied SSI to examine tonotopic injury following developmental noise exposure and observed that the tonotopic organization was significantly disrupted. With SSI, we also observed the subtle effects of sound pressure level on tonotopic maps, reflecting the complex neuronal responses associated with asymmetric tuning curves. This in vivo and noninvasive technique will greatly facilitate future investigation of tonotopic plasticity and disorders and auditory information processing. SSI can also be adapted to study topographic organization in other sensory systems such as retinotopy and somatotopy.
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Affiliation(s)
- Matthew M Cheung
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong, China
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Chan KC, Fan SJ, Zhou IY, Wu EX. In vivo chromium-enhanced MRI of the retina. Magn Reson Med 2011; 68:1202-10. [PMID: 22213133 DOI: 10.1002/mrm.24123] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2011] [Revised: 11/24/2011] [Accepted: 11/29/2011] [Indexed: 11/07/2022]
Abstract
Chromium (Cr) has been used histologically to stabilize lipid fractions in the retina and is suggested to enhance oxidizable lipids in brain MRI. This study explored the feasibility, sensitivity, and specificity of in vivo chromium-enhanced MRI of retinal lipids by determining its spatiotemporal profiles and toxic effect after intravitreal Cr(VI) injection to normal adult rats. One day after 3 μL Cr(VI) administration at 1-100 mM, the retina exhibited a dose-dependent increase in T1-weighted hyperintensity until 50 mM. Time-dependently, significant T1-weighted hyperintensity persisted up to 2 weeks after 10 mM Cr(VI) administration. Three-dimensional chromium-enhanced MRI of ex vivo normal eyes at isotropic 50-μm resolution showed at least five alternating bands across retinal layers, with the outermost layer being the brightest. This agreed with histology indicating alternating lipid contents with the highest level in the photoreceptor layer of the outer retina. Although Cr(VI) reduction may induce oxidative stress and depolymerize microtubules, manganese-enhanced MRI after chromium-enhanced MRI showed a dose-dependent effect of Cr toxicity on manganese uptake and axonal transport along the visual pathway. These results potentiated future longitudinal chromium-enhanced MRI studies on retinal lipid metabolism upon further optimization of Cr doses with visual cell viability.
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Affiliation(s)
- Kevin C Chan
- Laboratory of Biomedical Imaging and Signal Processing, Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
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Zhou IY, Cheung MM, Lau C, Chan KC, Wu EX. Balanced steady-state free precession fMRI with intravascular susceptibility contrast agent. Magn Reson Med 2011; 68:65-73. [PMID: 22127794 DOI: 10.1002/mrm.23202] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2011] [Revised: 08/03/2011] [Accepted: 08/11/2011] [Indexed: 11/07/2022]
Abstract
One major challenge in echo planar imaging-based functional MRI (fMRI) is the susceptibility-induced image distortion. In this study, a new cerebral blood volume-weighted fMRI technique using distortion-free balanced steady-state free precession (bSSFP) sequence was proposed and its feasibility was investigated in rat brain at 7 Tesla. After administration of intravascular susceptibility contrast agent (monocrystalline iron oxide nanoparticle [MION] at 15 mg/kg), unilateral visual stimulation was presented using a block-design paradigm. With repetition time/echo time = 3.8/1.9 ms and α = 18°, bSSFP fMRI was performed and compared with the conventional cerebral blood volume-weighted fMRI using post-MION gradient echo and spin echo echo planar imaging. The results showed that post-MION bSSFP fMRI provides comparable sensitivity but with no severe image distortion and signal dropout. Robust negative responses were observed during stimulation and activation patterns were in excellent agreement with known neuroanatomy. Furthermore, the post-MION bSSFP signal was observed to decrease significantly during hypercapnia challenge, indicating its sensitivity to cerebral blood volume changes. These findings demonstrated that post-MION bSSFP fMRI is a promising alternative to conventional cerebral blood volume-weighted fMRI. This technique is particularly suited for fMRI investigation of animal models at high field.
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Affiliation(s)
- Iris Y Zhou
- Laboratory of Biomedical Imaging and Signal Processing, Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China
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Cheung JS, Au WY, Ha SY, Kim D, Jensen JH, Zhou IY, Cheung MM, Wu Y, Guo H, Khong PL, Brown TR, Brittenham GM, Wu EX. Reduced transverse relaxation rate (RR2) for improved sensitivity in monitoring myocardial iron in thalassemia. J Magn Reson Imaging 2011; 33:1510-6. [PMID: 21591022 DOI: 10.1002/jmri.22553] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
PURPOSE To evaluate the reduced transverse relaxation rate (RR2), a new relaxation index which has been shown recently to be primarily sensitive to intracellular ferritin iron, as a means of detecting short-term changes in myocardial storage iron produced by iron-chelating therapy in transfusion-dependent thalassemia patients. MATERIALS AND METHODS A single-breathhold multi-echo fast spin-echo sequence was implemented at 3 Tesla (T) to estimate RR2 by acquiring signal decays with interecho times of 5, 9 and 13 ms. Transfusion-dependent thalassemia patients (N = 8) were examined immediately before suspending iron-chelating therapy for 1 week (Day 0), after a 1-week suspension of chelation (Day 7), and after a 1-week resumption of chelation (Day 14). RESULTS The mean percent changes in RR2, R2, and R2* off chelation (between Day 0 and 7) were 11.9 ± 8.9%, 5.4 ± 7.7% and -4.4 ± 25.0%; and, after resuming chelation (between Day 7 and 14), -10.6 ± 13.9%, -8.9 ± 8.0% and -8.5 ± 24.3%, respectively. Significant differences in R2 and RR2 were observed between Day 0 and 7, and between Day 7 and 14, with the greatest proportional changes in RR2. No significant differences in R2* were found. CONCLUSION These initial results demonstrate that significant differences in RR2 are detectable after a single week of changes in iron-chelating therapy, likely as a result of superior sensitivity to soluble ferritin iron, which is in close equilibrium with the chelatable cytosolic iron pool. RR2 measurement may provide a new means of monitoring the short-term effectiveness of iron-chelating agents in patients with myocardial iron overload.
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Affiliation(s)
- Jerry S Cheung
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
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Chan KC, Cheng JS, Fan S, Zhou IY, Yang J, Wu EX. In vivo evaluation of retinal and callosal projections in early postnatal development and plasticity using manganese-enhanced MRI and diffusion tensor imaging. Neuroimage 2011; 59:2274-83. [PMID: 21985904 DOI: 10.1016/j.neuroimage.2011.09.055] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2011] [Revised: 08/22/2011] [Accepted: 09/22/2011] [Indexed: 12/14/2022] Open
Abstract
The rodents are an excellent model for understanding the development and plasticity of the visual system. In this study, we explored the feasibility of Mn-enhanced MRI (MEMRI) and diffusion tensor imaging (DTI) at 7 T for in vivo and longitudinal assessments of the retinal and callosal pathways in normal neonatal rodent brains and after early postnatal visual impairments. Along the retinal pathways, unilateral intravitreal Mn2+ injection resulted in Mn2+ uptake and transport in normal neonatal visual brains at postnatal days (P) 1, 5 and 10 with faster Mn2+ clearance than the adult brains at P60. The reorganization of retinocollicular projections was also detected by significant Mn2+ enhancement by 2%-10% in the ipsilateral superior colliculus (SC) of normal neonatal rats, normal adult mice and adult rats after neonatal monocular enucleation (ME) but not in normal adult rats or adult rats after monocular deprivation (MD). DTI showed a significantly higher fractional anisotropy (FA) by 21% in the optic nerve projected from the remaining eye of ME rats compared to normal rats at 6 weeks old, likely as a result of the retention of axons from the ipsilaterally uncrossed retinal ganglion cells, whereas the anterior and posterior retinal pathways projected from the enucleated or deprived eyes possessed lower FA after neonatal binocular enucleation (BE), ME and MD by 22%-56%, 18%-46% and 11%-15% respectively compared to normal rats, indicative of neurodegeneration or immaturity of white matter tracts. Along the visual callosal pathways, intracortical Mn2+ injection to the visual cortex of BE rats enhanced a larger projection volume by about 74% in the V1/V2 transition zone of the contralateral hemisphere compared to normal rats, without apparent DTI parametric changes in the splenium of corpus callosum. This suggested an adaptive change in interhemispheric connections and spatial specificity in the visual cortex upon early blindness. The results of this study may help determine the mechanisms of axonal uptake and transport, microstructural reorganization and functional activities in the living visual brains during development, diseases, plasticity and early interventions in a global and longitudinal setting.
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Affiliation(s)
- Kevin C Chan
- Laboratory of Biomedical Imaging and Signal Processing, Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
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Lau C, Zhou IY, Cheung MM, Chan KC, Wu EX. BOLD temporal dynamics of rat superior colliculus and lateral geniculate nucleus following short duration visual stimulation. PLoS One 2011; 6:e18914. [PMID: 21559482 PMCID: PMC3084720 DOI: 10.1371/journal.pone.0018914] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2010] [Accepted: 03/24/2011] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND The superior colliculus (SC) and lateral geniculate nucleus (LGN) are important subcortical structures for vision. Much of our understanding of vision was obtained using invasive and small field of view (FOV) techniques. In this study, we use non-invasive, large FOV blood oxygenation level-dependent (BOLD) fMRI to measure the SC and LGN's response temporal dynamics following short duration (1 s) visual stimulation. METHODOLOGY/PRINCIPAL FINDINGS Experiments are performed at 7 tesla on Sprague Dawley rats stimulated in one eye with flashing light. Gradient-echo and spin-echo sequences are used to provide complementary information. An anatomical image is acquired from one rat after injection of monocrystalline iron oxide nanoparticles (MION), a blood vessel contrast agent. BOLD responses are concentrated in the contralateral SC and LGN. The SC BOLD signal measured with gradient-echo rises to 50% of maximum amplitude (PEAK) 0.2±0.2 s before the LGN signal (p<0.05). The LGN signal returns to 50% of PEAK 1.4±1.2 s before the SC signal (p<0.05). These results indicate the SC signal rises faster than the LGN signal but settles slower. Spin-echo results support these findings. The post-MION image shows the SC and LGN lie beneath large blood vessels. This subcortical vasculature is similar to that in the cortex, which also lies beneath large vessels. The LGN lies closer to the large vessels than much of the SC. CONCLUSIONS/SIGNIFICANCE The differences in response timing between SC and LGN are very similar to those between deep and shallow cortical layers following electrical stimulation, which are related to depth-dependent blood vessel dilation rates. This combined with the similarities in vasculature between subcortex and cortex suggest the SC and LGN timing differences are also related to depth-dependent dilation rates. This study shows for the first time that BOLD responses in the rat SC and LGN following short duration visual stimulation are temporally different.
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Affiliation(s)
- Condon Lau
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong, Special Administrative Region, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, Special Administrative Region, China
| | - Iris Y. Zhou
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong, Special Administrative Region, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, Special Administrative Region, China
| | - Matthew M. Cheung
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong, Special Administrative Region, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, Special Administrative Region, China
| | - Kevin C. Chan
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong, Special Administrative Region, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, Special Administrative Region, China
| | - Ed X. Wu
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong, Special Administrative Region, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong, Special Administrative Region, China
- Department of Anatomy, The University of Hong Kong, Pokfulam, Hong Kong, Special Administrative Region, China
- Department of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, Special Administrative Region, China
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Chan KC, Cheung MM, Xing KK, Zhou IY, Chow AM, Lau C, So KF, Wu EX. In vivo MRI study of the visual system in normal, developing and injured rodent brains. Annu Int Conf IEEE Eng Med Biol Soc 2010; 2010:5689-92. [PMID: 21097319 DOI: 10.1109/iembs.2010.5627884] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
This paper demonstrated our recent use of contrast-enhanced MRI, diffusion tensor/kurtosis imaging, proton magnetic resonance spectroscopy, and functional MRI techniques, for in vivo and global assessments of the structure, metabolism and function of the visual system in rodent studies of ocular diseases, optic neuropathies, developmental plasticity and neonatal hypoxic-ischemic brain injury at 7T. Results suggested the significant values of high-field multiparametric MRI for uncovering the processes and mechanisms of developmental and pathophysiological changes systematically along both anterior and posterior visual pathways, and may provide early diagnoses and therapeutic strategies for promoting functional recovery upon partial vision loss.
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Affiliation(s)
- Kevin C Chan
- Laboratory of Biomedical Imaging and Signal Processing and the Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong.
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Chow AM, Zhou IY, Fan SJ, Chan KW, Chan KC, Wu EX. Metabolic changes in visual cortex of neonatal monocular enucleated rat: a proton magnetic resonance spectroscopy study. Int J Dev Neurosci 2010; 29:25-30. [DOI: 10.1016/j.ijdevneu.2010.10.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2010] [Revised: 08/30/2010] [Accepted: 10/01/2010] [Indexed: 01/14/2023] Open
Affiliation(s)
- April M. Chow
- Laboratory of Biomedical Imaging and Signal ProcessingThe University of Hong KongPokfulamHong Kong SARChina
- Department of Electrical and Electronic EngineeringThe University of Hong KongPokfulamHong Kong SARChina
| | - Iris Y. Zhou
- Laboratory of Biomedical Imaging and Signal ProcessingThe University of Hong KongPokfulamHong Kong SARChina
- Department of Electrical and Electronic EngineeringThe University of Hong KongPokfulamHong Kong SARChina
| | - Shu Juan Fan
- Laboratory of Biomedical Imaging and Signal ProcessingThe University of Hong KongPokfulamHong Kong SARChina
- Department of Electrical and Electronic EngineeringThe University of Hong KongPokfulamHong Kong SARChina
| | - Kannie W.Y. Chan
- Laboratory of Biomedical Imaging and Signal ProcessingThe University of Hong KongPokfulamHong Kong SARChina
- Department of Electrical and Electronic EngineeringThe University of Hong KongPokfulamHong Kong SARChina
| | - Kevin C. Chan
- Laboratory of Biomedical Imaging and Signal ProcessingThe University of Hong KongPokfulamHong Kong SARChina
- Department of Electrical and Electronic EngineeringThe University of Hong KongPokfulamHong Kong SARChina
| | - Ed X. Wu
- Laboratory of Biomedical Imaging and Signal ProcessingThe University of Hong KongPokfulamHong Kong SARChina
- Department of Electrical and Electronic EngineeringThe University of Hong KongPokfulamHong Kong SARChina
- Department of AnatomyThe University of Hong KongPokfulamHong Kong SARChina
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Chan KC, Xing K, Cheung MM, Zhou IY, Wu EX. Functional MRI of postnatal visual development in normal rat superior colliculi. Annu Int Conf IEEE Eng Med Biol Soc 2009; 2009:4436-9. [PMID: 19963832 DOI: 10.1109/iembs.2009.5332756] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
This study employed blood oxygenation level-dependent functional MRI (BOLD-fMRI) to evaluate the visual responses in the superior colliculus of the developing rat brain from the time of eyelid opening to adulthood. Upon flash illumination to the contralateral eye, the regional BOLD response underwent a systematic increase in amplitude with age especially after the third postnatal week. However, no significant difference in BOLD signal increase was found between postnatal days 14 and 21. Our results constitute the first fMRI report in demonstrating the critical period of visual functions in the rat brain during maturation. This can be potentially useful in establishing the links between changes in relation to visual sensory development.
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Affiliation(s)
- Kevin C Chan
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China.
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Montefiori DC, Zhou IY, Barnes B, Lake D, Hersh EM, Masuho Y, Lefkowitz LB. Homotypic antibody responses to fresh clinical isolates of human immunodeficiency virus. Virology 1991; 182:635-43. [PMID: 1708933 DOI: 10.1016/0042-6822(91)90604-a] [Citation(s) in RCA: 49] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Human immunodeficiency virus type 1 (HIV-1) exhibits extensive genomic and antigenic diversity, which is thought to contribute to the failure of the host's immune response to control infection and prevent clinical progression. Part of this failure may be due to utilization by the virus of antigenic variation as a means to escape protective immune responses. Antibody-escape variants of HIV-1 were studied here using fresh clinical isolates and autologous plasmas. HIV-1 was isolated from the plasma of seven people who were all seropositive for at least 2 years, and symptomatic sometime during that period. Isolated viruses were confirmed as HIV-1 by the presence of reverse transcriptase activity in infected culture supernatants, and by positive immunofluorescence using human monoclonal antibody to HIV-1 core protein. Plasma from these people were positive by Western immunoblot (DuPont) for most major HIV-1 (strain IIIB) antigens. These plasmas neutralized three laboratory strains of HIV-1 (i.e., IIIB, RF, and MN) but did not neutralize the homotypic strain in five cases, and had greatly reduced neutralizing titers against the homotypic strain in two cases. Homotypic neutralizing antibodies were absent in autologous plasma obtained 3 months later. When antibody titers were measured by fixed-cell indirect immunofluorescence assays (IFAs), high titers of IgG (1:6400 to 1:25,600) were detected against HIV-1 IIIB, while low titers of only 1:20 to 1:160 were detected against homotypic viral antigens at the time of virus isolation, and remained low 12 and 16 weeks later. No class IgA, IgD, IgE, or IgM antibodies to homotypic viral antigens, as possible IgG-blocking antibodies, were detected by fixed-cell IFAs. Cross-reactions with heterologous donor's plasmas were observed in some cases, and in these cases the cross-reactions were unidirectional. Live-cell IFAs detected IgG in patient's plasma to HIV-1 IIIB-infected cells but not to cells infected with homotypic isolates. These results suggest that it is common for neutralization-resistant HIV-1 variants to appear during the course of infection, and that all or most antigens of these variants are capable of escaping antibody recognition.
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Affiliation(s)
- D C Montefiori
- Department of Pathology, Vanderbilt University Medical School, Nashville, Tennessee 37232
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