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Nagy SA, Ivic I, Tóth P, Komoly S, Kiss T, Pénzes M, Málnási-Csizmadia A, Dóczi T, Perlaki G, Orsi G. Post-reperfusion acute MR diffusion in stroke is a potential predictor for clinical outcome in rats. Sci Rep 2023; 13:5598. [PMID: 37019923 PMCID: PMC10076321 DOI: 10.1038/s41598-023-32679-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 03/31/2023] [Indexed: 04/07/2023] Open
Abstract
Middle cerebral artery occlusion (MCAO) models show substantial variability in outcome, introducing uncertainties in the evaluation of treatment effects. Early outcome predictors would be essential for prognostic purposes and variability control. We aimed to compare apparent diffusion coefficient (ADC) MRI data obtained during MCAO and shortly after reperfusion for their potentials in acute-phase outcome prediction. Fifty-nine male rats underwent a 45-min MCAO. Outcome was defined in three ways: 21-day survival; 24 h midline-shift and neurological scores. Animals were divided into two groups: rats surviving 21 days after MCAO (survival group, n = 46) and rats dying prematurely (non-survival/NS group, n = 13). At reperfusion, NS group showed considerably larger lesion volume and lower mean ADC of the initial lesion site (p < 0.0001), while during occlusion there were no significant group differences. At reperfusion, each survival animal showed decreased lesion volume and increased mean ADC of the initial lesion site compared to those during occlusion (p < 10-6), while NS group showed a mixed pattern. At reperfusion, lesion volume and mean ADC of the initial lesion site were significantly associated with 24 h midline-shift and neurological scores. Diffusion MRI performed soon after reperfusion has a great impact in early-phase outcome prediction, and it works better than the measurement during occlusion.
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Affiliation(s)
- Szilvia Anett Nagy
- ELKH-PTE Clinical Neuroscience MR Research Group, Ret Str. 2, 7623, Pecs, Hungary.
- Pecs Diagnostic Centre, Rét Street 2, 7623, Pecs, Hungary.
- Structural Neurobiology Research Group, Szentágothai Research Centre, University of Pecs, Ifjúság Street 20, 7624, Pecs, Hungary.
- Department of Neurology, Medical School, University of Pecs, Rét Street 2, 7623, Pecs, Hungary.
| | - Ivan Ivic
- Pecs Diagnostic Centre, Rét Street 2, 7623, Pecs, Hungary
- Selvita d.o.o., Prilaz Baruna Filipovića 29, 10000, Zagreb, Croatia
| | - Péter Tóth
- ELKH-PTE Clinical Neuroscience MR Research Group, Ret Str. 2, 7623, Pecs, Hungary
- Department of Neurosurgery, Medical School, University of Pecs, Rét Street 2, 7623, Pecs, Hungary
| | - Sámuel Komoly
- Department of Neurology, Medical School, University of Pecs, Rét Street 2, 7623, Pecs, Hungary
| | - Tamás Kiss
- Szentágothai Research Centre, University of Pecs, Ifjúság Street 20, Pecs, Hungary
| | - Máté Pénzes
- Department of Biochemistry, Eötvös Loránd University, Pázmány Péter Sétány 1/C, 1117, Budapest, Hungary
- Motorpharma Ltd., Szilágyi E. Fasor 27, 1026, Budapest, Hungary
| | - András Málnási-Csizmadia
- Motorpharma Ltd., Szilágyi E. Fasor 27, 1026, Budapest, Hungary
- ELKH-ELTE Motor Pharmacology Research Group, Department of Biochemistry, Eötvös Loránd University, Pázmány Péter Sétány 1/C, 1117, Budapest, Hungary
| | - Tamás Dóczi
- Pecs Diagnostic Centre, Rét Street 2, 7623, Pecs, Hungary
- Department of Neurosurgery, Medical School, University of Pecs, Rét Street 2, 7623, Pecs, Hungary
| | - Gábor Perlaki
- ELKH-PTE Clinical Neuroscience MR Research Group, Ret Str. 2, 7623, Pecs, Hungary
- Pecs Diagnostic Centre, Rét Street 2, 7623, Pecs, Hungary
- Department of Neurology, Medical School, University of Pecs, Rét Street 2, 7623, Pecs, Hungary
- Department of Neurosurgery, Medical School, University of Pecs, Rét Street 2, 7623, Pecs, Hungary
| | - Gergely Orsi
- ELKH-PTE Clinical Neuroscience MR Research Group, Ret Str. 2, 7623, Pecs, Hungary
- Pecs Diagnostic Centre, Rét Street 2, 7623, Pecs, Hungary
- Department of Neurology, Medical School, University of Pecs, Rét Street 2, 7623, Pecs, Hungary
- Department of Neurosurgery, Medical School, University of Pecs, Rét Street 2, 7623, Pecs, Hungary
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2
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Wong A, Bhuiyan MIH, Rothman J, Drew K, Pourrezaei K, Sun D, Barati Z. Near infrared spectroscopy detection of hemispheric cerebral ischemia following middle cerebral artery occlusion in rats. Neurochem Int 2023; 162:105460. [PMID: 36455748 PMCID: PMC10263189 DOI: 10.1016/j.neuint.2022.105460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/22/2022] [Accepted: 11/25/2022] [Indexed: 11/29/2022]
Abstract
Timely and sensitive in vivo estimation of ischemic stroke-induced brain infarction are necessary to guide diagnosis and evaluation of treatments' efficacy. The gold standard for estimation of the cerebral infarction volume is magnetic resonance imaging (MRI), which is expensive and not readily accessible. Measuring regional cerebral blood flow (rCBF) with Laser Doppler flowmetry (LDF) is the status quo for confirming reduced blood flow in experimental ischemic stroke models. However, rCBF reduction following cerebral artery occlusion often does not correlate with subsequent infarct volume. In the present study, we employed the continuous-wave near infrared spectroscopy (NIRS) technique to monitor cerebral oxygenation during 90 min of the intraluminal middle cerebral artery occlusion (MCAO) in Sprague-Dawley rats (n = 8, male). The NIRS device consisted of a controller module and an optical sensor with two LED light sources and two photodiodes making up two parallel channels for monitoring left and right cerebral hemispheres. Optical intensity measurements were converted to deoxyhemoglobin (Hb) and oxyhemoglobin (HbO2) changes relative to a 2-min window prior to MCAO. Area under the curve (auc) for Hb and HbO2 was calculated for the 90-min occlusion period for each hemisphere (ipsilateral and contralateral). To obtain a measure of total ischemia, auc of the contralateral side was subtracted from the ipsilateral side resulting in ΔHb and ΔHbO2 parameters. Infarct volume (IV) was calculated by triphenyl tetrazolium chloride (TTC) staining at 24h reperfusion. Results showed a significant negative correlation (r = -0.81, p = 0.03) between ΔHb and infarct volume. In conclusion, our results show feasibility of using a noninvasive optical imaging instrument, namely NIRS, in monitoring cerebral ischemia in a rodent stroke model. This cost-effective, non-invasive technique may improve the rigor of experimental models of ischemic stroke by enabling in vivo longitudinal assessment of cerebral oxygenation and ischemic injury.
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Affiliation(s)
- Ardy Wong
- Drexel University School of Biomedical Engineering, Science and Health Systems, Philadelphia, PA, USA
| | - Mohammad Iqbal Hossain Bhuiyan
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, PA, 15260, USA; Veterans Affairs Pittsburgh Health Care System, Geriatric Research, Education and Clinical Center, Pennsylvania, PA, 15260, USA; Department of Pharmaceutical Sciences, School of Pharmacy, University of Texas at El Paso, El Paso, TX, 79968, USA
| | | | - Kelly Drew
- Center for Transformative Research in Metabolism, Institute of Arctic Biology, University of Alaska Fairbanks, USA
| | - Kambiz Pourrezaei
- Drexel University School of Biomedical Engineering, Science and Health Systems, Philadelphia, PA, USA
| | - Dandan Sun
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, PA, 15260, USA; Veterans Affairs Pittsburgh Health Care System, Geriatric Research, Education and Clinical Center, Pennsylvania, PA, 15260, USA
| | - Zeinab Barati
- Barati Medical LLC, Fairbanks, AK, USA; Center for Transformative Research in Metabolism, Institute of Arctic Biology, University of Alaska Fairbanks, USA.
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He W, Tang H, Li J, Hou C, Shen X, Li C, Liu H, Yu W. Feature-based Quality Assessment of Middle Cerebral Artery Occlusion Using 18F-Fluorodeoxyglucose Positron Emission Tomography. Neurosci Bull 2022; 38:1057-1068. [PMID: 35639276 PMCID: PMC9468193 DOI: 10.1007/s12264-022-00865-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 02/13/2022] [Indexed: 10/18/2022] Open
Abstract
In animal experiments, ischemic stroke is usually induced through middle cerebral artery occlusion (MCAO), and quality assessment of this procedure is crucial. However, an accurate assessment method based on 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) is still lacking. The difficulty lies in the inconsistent preprocessing pipeline, biased intensity normalization, or unclear spatiotemporal uptake of FDG. Here, we propose an image feature-based protocol to assess the quality of the procedure using a 3D scale-invariant feature transform and support vector machine. This feature-based protocol provides a convenient, accurate, and reliable tool to assess the quality of the MCAO procedure in FDG PET studies. Compared with existing approaches, the proposed protocol is fully quantitative, objective, automatic, and bypasses the intensity normalization step. An online interface was constructed to check images and obtain assessment results.
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Affiliation(s)
- Wuxian He
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Hongtu Tang
- Department of Acupuncture and Moxibustion, Hubei University of Chinese Medicine, Wuhan, 430065, China
| | - Jia Li
- Department of Acupuncture and Moxibustion, Hubei University of Chinese Medicine, Wuhan, 430065, China
| | - Chenze Hou
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Xiaoyan Shen
- College of Science, Zhejiang University of Technology, Hangzhou, 310023, China
| | - Chenrui Li
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Huafeng Liu
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou , 310027, China.
- Intelligent Optics & Photonics Research Center, Jiaxing Research Institute of Zhejiang University, Jiaxing , 314000, China.
| | - Weichuan Yu
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
- HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen, China.
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4
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Lyden PD, Bosetti F, Diniz MA, Rogatko A, Koenig JI, Lamb J, Nagarkatti KA, Cabeen RP, Hess DC, Kamat P, Khan MB, Wood K, Dhandapani K, Arbab AS, Leira EC, Chauhan AK, Dhanesha N, Patel RB, Kumskova M, Thedens D, Morais A, Imai T, Qin T, Ayata C, Boisserand LSB, Herman AL, Beatty HE, Velazquez SE, Diaz-Perez S, Sanganahalli BG, Mihailovic JM, Hyder F, Sansing LH, Koehler RC, Lannon S, Shi Y, Karuppagounder SS, Bibic A, Akhter K, Aronowski J, McCullough LD, Chauhan A, Goh A. The Stroke Preclinical Assessment Network: Rationale, Design, Feasibility, and Stage 1 Results. Stroke 2022; 53:1802-1812. [PMID: 35354299 PMCID: PMC9038686 DOI: 10.1161/strokeaha.121.038047] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 01/26/2022] [Indexed: 12/12/2022]
Abstract
Cerebral ischemia and reperfusion initiate cellular events in brain that lead to neurological disability. Investigating these cellular events provides ample targets for developing new treatments. Despite considerable work, no such therapy has translated into successful stroke treatment. Among other issues-such as incomplete mechanistic knowledge and faulty clinical trial design-a key contributor to prior translational failures may be insufficient scientific rigor during preclinical assessment: nonblinded outcome assessment; missing randomization; inappropriate sample sizes; and preclinical assessments in young male animals that ignore relevant biological variables, such as age, sex, and relevant comorbid diseases. Promising results are rarely replicated in multiple laboratories. We sought to address some of these issues with rigorous assessment of candidate treatments across 6 independent research laboratories. The Stroke Preclinical Assessment Network (SPAN) implements state-of-the-art experimental design to test the hypothesis that rigorous preclinical assessment can successfully reduce or eliminate common sources of bias in choosing treatments for evaluation in clinical studies. SPAN is a randomized, placebo-controlled, blinded, multilaboratory trial using a multi-arm multi-stage protocol to select one or more putative stroke treatments with an implied high likelihood of success in human clinical stroke trials. The first stage of SPAN implemented procedural standardization and experimental rigor. All participating research laboratories performed middle cerebral artery occlusion surgery adhering to a common protocol and rapidly enrolled 913 mice in the first of 4 planned stages with excellent protocol adherence, remarkable data completion and low rates of subject loss. SPAN stage 1 successfully implemented treatment masking, randomization, prerandomization inclusion/exclusion criteria, and blinded assessment to exclude bias. Our data suggest that a large, multilaboratory, preclinical assessment effort to reduce known sources of bias is feasible and practical. Subsequent SPAN stages will evaluate candidate treatments for potential success in future stroke clinical trials using aged animals and animals with comorbid conditions.
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Affiliation(s)
- Patrick D. Lyden
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine at USC; Los Angeles, CA USA
- Department of Neurology, Keck School of Medicine at USC; Los Angeles, CA USA
| | - Francesca Bosetti
- National Institute of Neurological Disorders and Stroke, National Institutes of Health; Bethesda, MD USA
| | - Márcio A. Diniz
- Biostatistics and Bioinformatics Research Center, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - André Rogatko
- Biostatistics and Bioinformatics Research Center, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - James I. Koenig
- National Institute of Neurological Disorders and Stroke, National Institutes of Health; Bethesda, MD USA
| | - Jessica Lamb
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine at USC; Los Angeles, CA USA
| | - Karisma A. Nagarkatti
- Department of Physiology and Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine at USC; Los Angeles, CA USA
| | - Ryan P. Cabeen
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Imaging and Informatics Institute, Keck School of Medicine of USC; Los Angeles, CA USA
| | - David C. Hess
- Department of Neurology, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Pradip Kamat
- Department of Neurology, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Mohammad B. Khan
- Department of Neurology, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Kristofer Wood
- Department of Neurology, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Krishnan Dhandapani
- Department of Neurosurgery, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Ali S. Arbab
- Department of Biochemistry and Molecular Biology, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Enrique C. Leira
- Department of Neurology, Carver College of Medicine, College of Public Health, University of Iowa
- Department of Neurosurgery, Carver College of Medicine, College of Public Health, University of Iowa
- Department of Epidemiology, Carver College of Medicine, College of Public Health, University of Iowa
| | - Anil K. Chauhan
- Department of Internal Medicine, Carver College of Medicine, College of Public Health, University of Iowa
| | - Nirav Dhanesha
- Department of Internal Medicine, Carver College of Medicine, College of Public Health, University of Iowa
| | - Rakesh B. Patel
- Department of Internal Medicine, Carver College of Medicine, College of Public Health, University of Iowa
| | - Mariia Kumskova
- Department of Internal Medicine, Carver College of Medicine, College of Public Health, University of Iowa
| | - Daniel Thedens
- Department of Radiology, Carver College of Medicine, College of Public Health, University of Iowa
| | - Andreia Morais
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, USA
| | - Takahiko Imai
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, USA
| | - Tao Qin
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, USA
| | - Cenk Ayata
- Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | | | - Alison L. Herman
- Department of Neurology, Yale University School of Medicine, New Haven, CT USA
| | - Hannah E. Beatty
- Department of Neurology, Yale University School of Medicine, New Haven, CT USA
| | - Sofia E. Velazquez
- Department of Neurology, Yale University School of Medicine, New Haven, CT USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT USA
| | - Sebastian Diaz-Perez
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT USA
| | | | - Jelena M. Mihailovic
- Departments of Radiology and Biomedical Imaging, Yale University, New Haven, CT USA
| | - Fahmeed Hyder
- Departments of Radiology and Biomedical Imaging, Yale University, New Haven, CT USA
- Departments of Biomedical Engineering, Yale University, New Haven, CT USA
| | - Lauren H. Sansing
- Department of Neurology, Yale University School of Medicine, New Haven, CT USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT USA
| | - Raymond C. Koehler
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University; Baltimore, MD USA
| | - Steven Lannon
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University; Baltimore, MD USA
| | - Yanrong Shi
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University; Baltimore, MD USA
| | | | - Adnan Bibic
- Department of Radiology, Johns Hopkins University; Baltimore, MD USA
| | - Kazi Akhter
- Department of Radiology, Johns Hopkins University; Baltimore, MD USA
| | - Jaroslaw Aronowski
- Department of Neurology, McGovern Medical School, University of Texas HSC, Houston, TX, USA
| | - Louise D. McCullough
- Department of Neurology, McGovern Medical School, University of Texas HSC, Houston, TX, USA
| | - Anjali Chauhan
- Department of Neurology, McGovern Medical School, University of Texas HSC, Houston, TX, USA
| | - Andrew Goh
- Department of Neurology, McGovern Medical School, University of Texas HSC, Houston, TX, USA
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5
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Peng K, Koduri S, Ye F, Yang J, Keep RF, Xi G, Hua Y. A timeline of oligodendrocyte death and proliferation following experimental subarachnoid hemorrhage. CNS Neurosci Ther 2022; 28:842-850. [PMID: 35150055 PMCID: PMC9062564 DOI: 10.1111/cns.13812] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/25/2022] [Accepted: 01/27/2022] [Indexed: 12/15/2022] Open
Abstract
AIMS White matter (WM) injury is a critical factor associated with worse outcomes following subarachnoid hemorrhage (SAH). However, the detailed pathological changes are not completely understood. This study investigates temporal changes in the corpus callosum (CC), including WM edema and oligodendrocyte death after SAH, and the role of lipocalin-2 (LCN2) in those changes. METHODS Subarachnoid hemorrhage was induced in adult wild-type or LCN2 knockout mice via endovascular perforation. Magnetic resonance imaging was performed 4 hours, 1 day, and 8 days after SAH, and T2 hyperintensity changes within the CC were quantified to represent WM edema. Immunofluorescence staining was performed to evaluate oligodendrocyte death and proliferation. RESULTS Subarachnoid hemorrhage induced significant CC T2 hyperintensity at 4 hours and 1 day that diminished significantly by 8 days post-procedure. Comparing changes between the 4 hours and 1 day, each individual mouse had an increase in CC T2 hyperintensity volume. Oligodendrocyte death was observed at 4 hours, 1 day, and 8 days after SAH induction, and there was progressive loss of mature oligodendrocytes, while immature oligodendrocytes/oligodendrocyte precursor cells (OPCs) proliferated back to baseline by Day 8 after SAH. Moreover, LCN2 knockout attenuated WM edema and oligodendrocyte death at 24 hours after SAH. CONCLUSIONS Subarachnoid hemorrhage leads to T2 hyperintensity change within the CC, which indicates WM edema. Oligodendrocyte death was observed in the CC within 1 day of SAH, with a partial recovery by Day 8. SAH-induced WM injury was alleviated in an LCN2 knockout mouse model.
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Affiliation(s)
- Kang Peng
- Department of NeurosurgeryUniversity of MichiganAnn ArborMichiganUSA,Department of NeurosurgeryXiangya HospitalCentral South UniversityChangshaChina
| | - Sravanthi Koduri
- Department of NeurosurgeryUniversity of MichiganAnn ArborMichiganUSA
| | - Fenghui Ye
- Department of NeurosurgeryUniversity of MichiganAnn ArborMichiganUSA
| | - Jinting Yang
- Department of NeurosurgeryUniversity of MichiganAnn ArborMichiganUSA
| | - Richard F. Keep
- Department of NeurosurgeryUniversity of MichiganAnn ArborMichiganUSA
| | - Guohua Xi
- Department of NeurosurgeryUniversity of MichiganAnn ArborMichiganUSA
| | - Ya Hua
- Department of NeurosurgeryUniversity of MichiganAnn ArborMichiganUSA
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Autophagy Elicits Neuroprotection at the Subacute Phase of Transient Cerebral Ischaemia but Has Few Effects on Neurological Outcomes After Permanent Ischaemic Stroke in Rats. Curr Med Sci 2021; 41:803-814. [PMID: 34403106 DOI: 10.1007/s11596-021-2400-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Accepted: 05/31/2021] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Autophagy was prominently activated by cerebral ischaemia. This study was to investigate the exact role of autophagy in ischaemic stroke. METHODS Two rat models of transient middle cerebral artery occlusion (tMCAO) and permanent MCAO (pMCAO) were prepared. The brain tissues in the penumbra were obtained to observe the dynamic variations of autophagy activity with Beclin1 and LC3 antibodies by Western blotting. At the characteristic time points, when autophagy activity was markedly elevated or reduced, the autophagy activation signaling was intervened with rapamycin and 3-methyladenine, respectively. Thereafter, key proteins in the autopahgic/lysosomal pathway were detected with the antibodies of LC3, p62, ubiquitin, LAMP-1 and cathepsin B. Meanwhile, TTC staining, neurological score and immunofluorescence were performed to evaluate brain infarct volume, neurological deficit and neuron survival, respectively. RESULTS Both Beclin1 and LC3 expression levels were remarkably altered at 6 h, 12 h, 2 days and 7 days after tMCAO. Interestingly, the dynamic changes of autophagy activity following pMCAO were identical to those after tMCAO. Neither autophagy induction nor autophagy inhibition was able to ameliorate the pMCAO-induced neurological injury due to lysosomal dysfunction, as indicated by low levels of LAMP-1 and cathepsin B, accompanied with the accumulation of LC3-II, ubiquitin and insoluble p62. Comparatively, autophagy induction elicited overt neuroprotection at 2 and 7 days after tMCAO, and this neuroprotection might be elicited by the enhancement of autophagy flux. CONCLUSION Our study suggests that autophagy confers neuroprotection at the subacute phase of tMCAO but has few effects on neurological outcomes after pMCAO.
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Winkler L, Blasig R, Breitkreuz-Korff O, Berndt P, Dithmer S, Helms HC, Puchkov D, Devraj K, Kaya M, Qin Z, Liebner S, Wolburg H, Andjelkovic AV, Rex A, Blasig IE, Haseloff RF. Tight junctions in the blood-brain barrier promote edema formation and infarct size in stroke - Ambivalent effects of sealing proteins. J Cereb Blood Flow Metab 2021; 41:132-145. [PMID: 32054373 PMCID: PMC7747158 DOI: 10.1177/0271678x20904687] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 12/20/2019] [Accepted: 12/20/2019] [Indexed: 01/07/2023]
Abstract
The outcome of stroke is greatly influenced by the state of the blood-brain barrier (BBB). The BBB endothelium is sealed paracellularly by tight junction (TJ) proteins, i.e., claudins (Cldns) and the redox regulator occludin. Functions of Cldn3 and occludin at the BBB are largely unknown, particularly after stroke. We address the effects of Cldn3 deficiency and stress factors on the BBB and its TJs. Cldn3 tightened the BBB for small molecules and ions, limited endothelial endocytosis, strengthened the TJ structure and controlled Cldn1 expression. After middle cerebral artery occlusion (MCAO) and 3-h reperfusion or hypoxia of isolated brain capillaries, Cldn1, Cldn3 and occludin were downregulated. In Cldn3 knockout mice (C3KO), the reduction in Cldn1 was even greater and TJ ultrastructure was impaired; 48 h after MCAO of wt mice, infarct volumes were enlarged and edema developed, but endothelial TJs were preserved. In contrast, junctional localization of Cldn5 and occludin, TJ density, swelling and infarction size were reduced in affected brain areas of C3KO. Taken together, Cldn3 and occludin protect TJs in stroke, and this keeps the BBB intact. However, functional Cldn3, Cldn3-regulated TJ proteins and occludin promote edema and infarction, which suggests that TJ modulation could improve the outcome of stroke.
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Affiliation(s)
- Lars Winkler
- Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin-Buch, Germany
| | - Rosel Blasig
- Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin-Buch, Germany
| | | | - Philipp Berndt
- Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin-Buch, Germany
| | - Sophie Dithmer
- Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin-Buch, Germany
| | - Hans C Helms
- Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin-Buch, Germany
| | - Dmytro Puchkov
- Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin-Buch, Germany
| | - Kavi Devraj
- Institute of Neurology (Edinger-Institute), University Hospital, Goethe University Frankfurt am Main, Frankfurt, Germany
| | - Mehmet Kaya
- School of Medicine, Department of Physiology & Koç University Research Center for Translational Medicine, Koç University, Istanbul, Turkey
| | - Zhihai Qin
- The First Affiliated Hospital of Zhengzhou University, Henan, China
| | - Stefan Liebner
- Institute of Neurology (Edinger-Institute), University Hospital, Goethe University Frankfurt am Main, Frankfurt, Germany
| | - Hartwig Wolburg
- Institute of Pathology and Neuropathology, Universität of Tübingen, Tübingen, Germany
| | | | - Andre Rex
- Charité-Universitätsmedizin, Experimental Neurology, Berlin, Germany
| | - Ingolf E Blasig
- Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin-Buch, Germany
| | - Reiner F Haseloff
- Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Berlin-Buch, Germany
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8
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Toyota Y, Wei J, Xi G, Keep RF, Hua Y. White matter T2 hyperintensities and blood-brain barrier disruption in the hyperacute stage of subarachnoid hemorrhage in male mice: The role of lipocalin-2. CNS Neurosci Ther 2019; 25:1207-1214. [PMID: 31568658 PMCID: PMC6776746 DOI: 10.1111/cns.13221] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Revised: 08/28/2019] [Accepted: 08/29/2019] [Indexed: 12/31/2022] Open
Abstract
AIMS The current study examined whether white matter injury occurs in the hyperacute (4 hours) phase after subarachnoid hemorrhage (SAH) and the potential role of blood-brain barrier (BBB) disruption and an acute phase protein, lipocalin 2 (LCN2), in that injury. METHODS Subarachnoid hemorrhage was induced by endovascular perforation in adult mice. First, wild-type (WT) mice underwent MRI 4 hours after SAH to detect white matter T2 hyperintensities. Second, changes in LCN2 expression and BBB disruption associated with the MRI findings were examined. Third, SAH-induced white matter injury at 4 hours was compared in WT and LCN2 knockout (LCN2 KO) mice. RESULTS At 4 hours, most animals had uni- or bilateral white matter T2 hyperintensities after SAH in WT mice that were associated with BBB disruption and LCN2 upregulation. However, some disruption and LCN2 upregulation was also found in mice with no T2-hyperintensity lesion. In contrast, there were no white matter T2 hyperintensities in LCN2 KO mice after SAH. LCN2 deficiency also attenuated BBB disruption, myelin damage, and oligodendrocyte loss. CONCLUSIONS Subarachnoid hemorrhage causes very early BBB disruption and LCN2 expression in white matter that is associated with and may precede T2 hyperintensities. LCN2 deletion attenuates MRI changes and pathological changes in white matter after SAH.
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Affiliation(s)
- Yasunori Toyota
- Department of NeurosurgeryUniversity of MichiganAnn ArborMIUSA
| | - Jialiang Wei
- Department of NeurosurgeryUniversity of MichiganAnn ArborMIUSA
| | - Guohua Xi
- Department of NeurosurgeryUniversity of MichiganAnn ArborMIUSA
| | - Richard F. Keep
- Department of NeurosurgeryUniversity of MichiganAnn ArborMIUSA
| | - Ya Hua
- Department of NeurosurgeryUniversity of MichiganAnn ArborMIUSA
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9
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Zhao L, Mulligan MK, Nowak TS. Substrain- and sex-dependent differences in stroke vulnerability in C57BL/6 mice. J Cereb Blood Flow Metab 2019; 39:426-438. [PMID: 29260927 PMCID: PMC6421252 DOI: 10.1177/0271678x17746174] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The C57BL/6 mouse strain is represented by distinct substrains, increasingly recognized to differ genetically and phenotypically. The current study compared stroke vulnerability among C57BL/6 J (J), C57BL/6JEiJ (JEiJ), C57BL/6ByJ (ByJ), C57BL/6NCrl (NCrl), C57BL/6NJ (NJ) and C57BL/6NTac (NTac) substrains, using a model of permanent distal middle cerebral artery and common carotid artery occlusion. Mean infarct volume was nearly two-fold smaller in J, JEiJ and ByJ substrains relative to NCrl, NJ and NTac (N-lineage) mice. This identifies a previously unrecognized confound in stroke studies involving genetically modified strain comparisons if control substrain background were not rigorously matched. Mean infarct size was smaller in females of J and ByJ substrains than in the corresponding males, but there was no sex difference for NCrl and NJ mice. A higher proportion of small infarcts in J and ByJ substrains was largely responsible for both substrain- and sex-dependent differences. These could not be straightforwardly explained by variations in posterior communicating artery patency, MCA anatomy or acute penumbral blood flow deficits. Their larger and more homogeneously distributed infarcts, together with their established use as the common background for many genetically modified strains, may make N-lineage C57BL/6 substrains the preferred choice for future studies in experimental stroke.
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Affiliation(s)
- Liang Zhao
- 1 Department of Neurology, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Megan K Mulligan
- 2 Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Thaddeus S Nowak
- 1 Department of Neurology, University of Tennessee Health Science Center, Memphis, TN, USA
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10
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Assessing the effects of Ang-(1-7) therapy following transient middle cerebral artery occlusion. Sci Rep 2019; 9:3154. [PMID: 30816157 PMCID: PMC6395816 DOI: 10.1038/s41598-019-39102-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 01/15/2019] [Indexed: 11/09/2022] Open
Abstract
The counter-regulatory axis, Angiotensin Converting Enzyme 2, Angiotensin-(1-7), Mas receptor (ACE2/Ang-1-7/MasR), of the renin angiotensin system (RAS) is a potential therapeutic target in stroke, with Ang-(1-7) reported to have neuroprotective effects in pre-clinical stroke models. Here, an extensive investigation of the functional and mechanistic effects of Ang-(1-7) was performed in a rodent model of stroke. Using longitudinal magnetic resonance imaging (MRI) it was observed that central administration of Ang-(1-7) following transient middle cerebral artery occlusion (MCAO) increased the amount of tissue salvage compared to reperfusion alone. This protective effect was not due to early changes in blood brain barrier (BBB) permeability, microglia activation or inflammatory gene expression. However, increases in NADPH oxidase 1 (Nox1) mRNA expression were observed in the treatment group compared to control. In order to determine whether Ang-(1-7) has direct cerebrovascular effects, laser speckle contrast imaging (LSCI) was performed to measure dynamic changes in cortical perfusion following reperfusion. Delivery of Ang-(1-7) did not have any effect on cortical perfusion following reperfusion however; it showed an indication to prevent the 'steal phenomenon' within the contralateral hemisphere. The comprehensive series of studies have demonstrated a moderate protective effect of Ang-(1-7) when given alongside reperfusion to increase tissue salvage.
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11
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Koch S, Mueller S, Foddis M, Bienert T, von Elverfeldt D, Knab F, Farr TD, Bernard R, Dopatka M, Rex A, Dirnagl U, Harms C, Boehm-Sturm P. Atlas registration for edema-corrected MRI lesion volume in mouse stroke models. J Cereb Blood Flow Metab 2019; 39:313-323. [PMID: 28829217 PMCID: PMC6360485 DOI: 10.1177/0271678x17726635] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Lesion volume measurements with magnetic resonance imaging are widely used to assess outcome in rodent models of stroke. In this study, we improved a mathematical framework to correct lesion size for edema which is based on manual delineation of the lesion and hemispheres. Furthermore, a novel MATLAB toolbox to register mouse brain MR images to the Allen brain atlas is presented. Its capability to calculate edema-corrected lesion size was compared to the manual approach. Automated image registration performed equally well in in a mouse middle cerebral artery occlusion model (Pearson r = 0.976, p = 2.265e-11). Information encapsulated in the registration was used to generate maps of edema induced tissue volume changes. These showed discrepancies to simplified tissue models underlying the manual approach. The presented techniques provide biologically more meaningful, voxel-wise biomarkers of vasogenic edema after stroke.
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Affiliation(s)
- Stefan Koch
- Department of Experimental Neurology,
Center for Stroke Research Berlin (CSB), and NeuroCure,
Charité
University Medicine Berlin, Berlin,
Germany
| | - Susanne Mueller
- Department of Experimental Neurology,
Center for Stroke Research Berlin (CSB), and NeuroCure,
Charité
University Medicine Berlin, Berlin,
Germany
- Charité Core Facility 7T Experimental
MRIs,
Charité
University Medicine Berlin, Berlin,
Germany
| | - Marco Foddis
- Department of Experimental Neurology,
Center for Stroke Research Berlin (CSB), and NeuroCure,
Charité
University Medicine Berlin, Berlin,
Germany
| | - Thomas Bienert
- Department of Radiology – Medical
Physics, and BrainLinks-BrainTools Excellence Cluster, Medical Center – University
of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Dominik von Elverfeldt
- Department of Radiology – Medical
Physics, and BrainLinks-BrainTools Excellence Cluster, Medical Center – University
of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - Felix Knab
- Department of Experimental Neurology,
Center for Stroke Research Berlin (CSB), and NeuroCure,
Charité
University Medicine Berlin, Berlin,
Germany
| | - Tracy D Farr
- Department of Experimental Neurology,
Center for Stroke Research Berlin (CSB), and NeuroCure,
Charité
University Medicine Berlin, Berlin,
Germany
- School of Life Sciences, University of
Nottingham, Nottingham, UK
| | - René Bernard
- Department of Experimental Neurology,
Center for Stroke Research Berlin (CSB), and NeuroCure,
Charité
University Medicine Berlin, Berlin,
Germany
| | - Monika Dopatka
- Department of Experimental Neurology,
Center for Stroke Research Berlin (CSB), and NeuroCure,
Charité
University Medicine Berlin, Berlin,
Germany
| | - André Rex
- Department of Experimental Neurology,
Center for Stroke Research Berlin (CSB), and NeuroCure,
Charité
University Medicine Berlin, Berlin,
Germany
| | - Ulrich Dirnagl
- Department of Experimental Neurology,
Center for Stroke Research Berlin (CSB), and NeuroCure,
Charité
University Medicine Berlin, Berlin,
Germany
- German Center for Neurodegenerative
Diseases (DZNE), Berlin, Germany
- Berlin Institute of Health, Berlin,
Germany
| | - Christoph Harms
- Department of Experimental Neurology,
Center for Stroke Research Berlin (CSB), and NeuroCure,
Charité
University Medicine Berlin, Berlin,
Germany
| | - Philipp Boehm-Sturm
- Department of Experimental Neurology,
Center for Stroke Research Berlin (CSB), and NeuroCure,
Charité
University Medicine Berlin, Berlin,
Germany
- Charité Core Facility 7T Experimental
MRIs,
Charité
University Medicine Berlin, Berlin,
Germany
- Philipp Boehm-Sturm, Department of
Experimental Neurology, Center for Stroke Research, Charitéplatz 1, Berlin
10117, Germany.
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12
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Rajkovic O, Potjewyd G, Pinteaux E. Regenerative Medicine Therapies for Targeting Neuroinflammation After Stroke. Front Neurol 2018; 9:734. [PMID: 30233484 PMCID: PMC6129611 DOI: 10.3389/fneur.2018.00734] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Accepted: 08/13/2018] [Indexed: 12/15/2022] Open
Abstract
Inflammation is a major pathological event following ischemic stroke that contributes to secondary brain tissue damage leading to poor functional recovery. Following the initial ischemic insult, post-stroke inflammatory damage is driven by initiation of a central and peripheral innate immune response and disruption of the blood-brain barrier (BBB), both of which are triggered by the release of pro-inflammatory cytokines and infiltration of circulating immune cells. Stroke therapies are limited to early cerebral blood flow reperfusion, and whilst current strategies aim at targeting neurodegeneration and/or neuroinflammation, innovative research in the field of regenerative medicine aims at developing effective treatments that target both the acute and chronic phase of inflammation. Anti-inflammatory regenerative strategies include the use of nanoparticles and hydrogels, proposed as therapeutic agents and as a delivery vehicle for encapsulated therapeutic biological factors, anti-inflammatory drugs, stem cells, and gene therapies. Biomaterial strategies-through nanoparticles and hydrogels-enable the administration of treatments that can more effectively cross the BBB when injected systemically, can be injected directly into the brain, and can be 3D-bioprinted to create bespoke implants within the site of ischemic injury. In this review, these emerging regenerative and anti-inflammatory approaches will be discussed in relation to ischemic stroke, with a perspective on the future of stroke therapies.
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Affiliation(s)
- Olivera Rajkovic
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Geoffrey Potjewyd
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Emmanuel Pinteaux
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
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13
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Liu X, Zhang X, Wang F, Liang X, Zeng Z, Zhao J, Zheng H, Jiang X, Zhang Y. Improvement in cerebral ischemia–reperfusion injury through the TLR4/NF-κB pathway after Kudiezi injection in rats. Life Sci 2017; 191:132-140. [DOI: 10.1016/j.lfs.2017.10.035] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2017] [Revised: 10/17/2017] [Accepted: 10/24/2017] [Indexed: 10/18/2022]
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14
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Cuccione E, Versace A, Cho TH, Carone D, Berner LP, Ong E, Rousseau D, Cai R, Monza L, Ferrarese C, Sganzerla EP, Berthezène Y, Nighoghossian N, Wiart M, Beretta S, Chauveau F. Multi-site laser Doppler flowmetry for assessing collateral flow in experimental ischemic stroke: Validation of outcome prediction with acute MRI. J Cereb Blood Flow Metab 2017; 37:2159-2170. [PMID: 27466372 PMCID: PMC5464709 DOI: 10.1177/0271678x16661567] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
High variability in infarct size is common in experimental stroke models and affects statistical power and validity of neuroprotection trials. The aim of this study was to explore cerebral collateral flow as a stratification factor for the prediction of ischemic outcome. Transient intraluminal occlusion of the middle cerebral artery was induced for 90 min in 18 Wistar rats. Cerebral collateral flow was assessed intra-procedurally using multi-site laser Doppler flowmetry monitoring in both the lateral middle cerebral artery territory and the borderzone territory between middle cerebral artery and anterior cerebral artery. Multi-modal magnetic resonance imaging was used to assess acute ischemic lesion (diffusion-weighted imaging, DWI), acute perfusion deficit (time-to-peak, TTP), and final ischemic lesion at 24 h. Infarct volumes and typology at 24 h (large hemispheric versus basal ganglia infarcts) were predicted by both intra-ischemic collateral perfusion and acute DWI lesion volume. Collateral flow assessed by multi-site laser Doppler flowmetry correlated with the corresponding acute perfusion deficit using TTP maps. Multi-site laser Doppler flowmetry monitoring was able to predict ischemic outcome and perfusion deficit in good agreement with acute MRI. Our results support the additional value of cerebral collateral flow monitoring for outcome prediction in experimental ischemic stroke, especially when acute MRI facilities are not available.
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Affiliation(s)
- Elisa Cuccione
- 1 Department of Medicine and Surgery, Laboratory of Experimental Stroke Research, University of Milano-Bicocca, Monza, Italy.,2 PhD Program in Neuroscience, University of Milano-Bicocca, Monza, Italy
| | - Alessandro Versace
- 1 Department of Medicine and Surgery, Laboratory of Experimental Stroke Research, University of Milano-Bicocca, Monza, Italy
| | - Tae-Hee Cho
- 3 Université de Lyon, CREATIS; CNRS UMR5220; Inserm U1044; INSA-Lyon; Université Lyon 1, Lyon, France.,4 Hospices Civils de Lyon, France
| | - Davide Carone
- 1 Department of Medicine and Surgery, Laboratory of Experimental Stroke Research, University of Milano-Bicocca, Monza, Italy
| | - Lise-Prune Berner
- 3 Université de Lyon, CREATIS; CNRS UMR5220; Inserm U1044; INSA-Lyon; Université Lyon 1, Lyon, France.,4 Hospices Civils de Lyon, France
| | - Elodie Ong
- 3 Université de Lyon, CREATIS; CNRS UMR5220; Inserm U1044; INSA-Lyon; Université Lyon 1, Lyon, France.,4 Hospices Civils de Lyon, France
| | - David Rousseau
- 3 Université de Lyon, CREATIS; CNRS UMR5220; Inserm U1044; INSA-Lyon; Université Lyon 1, Lyon, France
| | - Ruiyao Cai
- 1 Department of Medicine and Surgery, Laboratory of Experimental Stroke Research, University of Milano-Bicocca, Monza, Italy
| | - Laura Monza
- 1 Department of Medicine and Surgery, Laboratory of Experimental Stroke Research, University of Milano-Bicocca, Monza, Italy
| | - Carlo Ferrarese
- 1 Department of Medicine and Surgery, Laboratory of Experimental Stroke Research, University of Milano-Bicocca, Monza, Italy.,5 Milan Center for Neuroscience (NeuroMi), Milan, Italy
| | - Erik P Sganzerla
- 1 Department of Medicine and Surgery, Laboratory of Experimental Stroke Research, University of Milano-Bicocca, Monza, Italy.,5 Milan Center for Neuroscience (NeuroMi), Milan, Italy
| | - Yves Berthezène
- 3 Université de Lyon, CREATIS; CNRS UMR5220; Inserm U1044; INSA-Lyon; Université Lyon 1, Lyon, France.,4 Hospices Civils de Lyon, France
| | - Norbert Nighoghossian
- 3 Université de Lyon, CREATIS; CNRS UMR5220; Inserm U1044; INSA-Lyon; Université Lyon 1, Lyon, France.,4 Hospices Civils de Lyon, France
| | - Marlène Wiart
- 3 Université de Lyon, CREATIS; CNRS UMR5220; Inserm U1044; INSA-Lyon; Université Lyon 1, Lyon, France
| | - Simone Beretta
- 1 Department of Medicine and Surgery, Laboratory of Experimental Stroke Research, University of Milano-Bicocca, Monza, Italy.,5 Milan Center for Neuroscience (NeuroMi), Milan, Italy
| | - Fabien Chauveau
- 6 Université de Lyon, Lyon Neuroscience Research Center, BioRaN team; CNRS UMR5292; Inserm U1028; Université Lyon 1, Lyon, France
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15
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Mulder IA, Khmelinskii A, Dzyubachyk O, de Jong S, Rieff N, Wermer MJH, Hoehn M, Lelieveldt BPF, van den Maagdenberg AMJM. Automated Ischemic Lesion Segmentation in MRI Mouse Brain Data after Transient Middle Cerebral Artery Occlusion. Front Neuroinform 2017; 11:3. [PMID: 28197090 PMCID: PMC5281583 DOI: 10.3389/fninf.2017.00003] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Accepted: 01/05/2017] [Indexed: 11/13/2022] Open
Abstract
Magnetic resonance imaging (MRI) has become increasingly important in ischemic stroke experiments in mice, especially because it enables longitudinal studies. Still, quantitative analysis of MRI data remains challenging mainly because segmentation of mouse brain lesions in MRI data heavily relies on time-consuming manual tracing and thresholding techniques. Therefore, in the present study, a fully automated approach was developed to analyze longitudinal MRI data for quantification of ischemic lesion volume progression in the mouse brain. We present a level-set-based lesion segmentation algorithm that is built using a minimal set of assumptions and requires only one MRI sequence (T2) as input. To validate our algorithm we used a heterogeneous data set consisting of 121 mouse brain scans of various age groups and time points after infarct induction and obtained using different MRI hardware and acquisition parameters. We evaluated the volumetric accuracy and regional overlap of ischemic lesions segmented by our automated method against the ground truth obtained in a semi-automated fashion that includes a highly time-consuming manual correction step. Our method shows good agreement with human observations and is accurate on heterogeneous data, whilst requiring much shorter average execution time. The algorithm developed here was compiled into a toolbox and made publically available, as well as all the data sets.
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Affiliation(s)
- Inge A Mulder
- Department of Neurology, Leiden University Medical Center Leiden, Netherlands
| | - Artem Khmelinskii
- Division of Image Processing (LKEB), Department of Radiology, Leiden University Medical CenterLeiden, Netherlands; Percuros B.V.Enschede, Netherlands
| | - Oleh Dzyubachyk
- Division of Image Processing (LKEB), Department of Radiology, Leiden University Medical Center Leiden, Netherlands
| | - Sebastiaan de Jong
- Department of Human Genetics, Leiden University Medical Center Leiden, Netherlands
| | - Nathalie Rieff
- Department of Human Genetics, Leiden University Medical Center Leiden, Netherlands
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center Leiden, Netherlands
| | - Mathias Hoehn
- Division of Image Processing (LKEB), Department of Radiology, Leiden University Medical CenterLeiden, Netherlands; Percuros B.V.Enschede, Netherlands; In-vivo-NMR Laboratory, Max Planck Institute for Metabolism ResearchCologne, Germany
| | - Boudewijn P F Lelieveldt
- Division of Image Processing (LKEB), Department of Radiology, Leiden University Medical CenterLeiden, Netherlands; Intelligent Systems Group, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of TechnologyDelft, Netherlands
| | - Arn M J M van den Maagdenberg
- Department of Neurology, Leiden University Medical CenterLeiden, Netherlands; Department of Human Genetics, Leiden University Medical CenterLeiden, Netherlands
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16
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Mandeville ET, Ayata C, Zheng Y, Mandeville JB. Translational MR Neuroimaging of Stroke and Recovery. Transl Stroke Res 2016; 8:22-32. [PMID: 27578048 DOI: 10.1007/s12975-016-0497-z] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Revised: 08/16/2016] [Accepted: 08/18/2016] [Indexed: 12/26/2022]
Abstract
Multiparametric magnetic resonance imaging (MRI) has become a critical clinical tool for diagnosing focal ischemic stroke severity, staging treatment, and predicting outcome. Imaging during the acute phase focuses on tissue viability in the stroke vicinity, while imaging during recovery requires the evaluation of distributed structural and functional connectivity. Preclinical MRI of experimental stroke models provides validation of non-invasive biomarkers in terms of cellular and molecular mechanisms, while also providing a translational platform for evaluation of prospective therapies. This brief review of translational stroke imaging discusses the acute to chronic imaging transition, the principles underlying common MRI methods employed in stroke research, and the experimental results obtained by clinical and preclinical imaging to determine tissue viability, vascular remodeling, structural connectivity of major white matter tracts, and functional connectivity using task-based and resting-state fMRI during the stroke recovery process.
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Affiliation(s)
- Emiri T Mandeville
- Neuroprotection Research Laboratory, Massachusetts General Hospital, Charlestown, MA, USA. .,Department of Radiology, Massachusetts General Hospital, Bldg 149 13th Street, Charlestown, MA, 02129, USA.
| | - Cenk Ayata
- Neurovascular Research Laboratory, Massachusetts General Hospital, Charlestown, MA, USA.,Department of Radiology, Massachusetts General Hospital, Bldg 149 13th Street, Charlestown, MA, 02129, USA
| | - Yi Zheng
- Neurovascular Research Laboratory, Massachusetts General Hospital, Charlestown, MA, USA.,Department of Radiology, Massachusetts General Hospital, Bldg 149 13th Street, Charlestown, MA, 02129, USA
| | - Joseph B Mandeville
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.,Department of Radiology, Massachusetts General Hospital, Bldg 149 13th Street, Charlestown, MA, 02129, USA
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