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Chen Y, Wang Y, Phuah CL, Fields ME, Guilliams KP, Fellah S, Reis MN, Binkley MM, An H, Lee JM, McKinstry RC, Jordan LC, DeBaun MR, Ford AL. Toward Automated Detection of Silent Cerebral Infarcts in Children and Young Adults With Sickle Cell Anemia. Stroke 2023; 54:2096-2104. [PMID: 37387218 PMCID: PMC10526691 DOI: 10.1161/strokeaha.123.042683] [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: 01/25/2023] [Accepted: 06/05/2023] [Indexed: 07/01/2023]
Abstract
BACKGROUND Silent cerebral infarcts (SCI) in sickle cell anemia (SCA) are associated with future strokes and cognitive impairment, warranting early diagnosis and treatment. Detection of SCI, however, is limited by their small size, especially when neuroradiologists are unavailable. We hypothesized that deep learning may permit automated SCI detection in children and young adults with SCA as a tool to identify the presence and extent of SCI in clinical and research settings. METHODS We utilized UNet-a deep learning model-for fully automated SCI segmentation. We trained and optimized UNet using brain magnetic resonance imaging from the SIT trial (Silent Infarct Transfusion). Neuroradiologists provided the ground truth for SCI diagnosis, while a vascular neurologist manually delineated SCI on fluid-attenuated inversion recovery and provided the ground truth for SCI segmentation. UNet was optimized for the highest spatial overlap between automatic and manual delineation (dice similarity coefficient). The optimized UNet was externally validated using an independent single-center prospective cohort of SCA participants. Model performance was evaluated through sensitivity and accuracy (%correct cases) for SCI diagnosis, dice similarity coefficient, intraclass correlation coefficient (metric of volumetric agreement), and Spearman correlation. RESULTS The SIT trial (n=926; 31% with SCI; median age, 8.9 years) and external validation (n=80; 50% with SCI; age, 11.5 years) cohorts had small median lesion volumes of 0.40 and 0.25 mL, respectively. Compared with the neuroradiology diagnosis, UNet predicted SCI presence with 100% sensitivity and 74% accuracy. In magnetic resonance imaging with SCI, UNet reached a moderate spatial agreement (dice similarity coefficient, 0.48) and high volumetric agreement (intraclass correlation coefficient, 0.76; ρ=0.72; P<0.001) between automatic and manual segmentations. CONCLUSIONS UNet, trained using a large pediatric SCA magnetic resonance imaging data set, sensitively detected small SCI in children and young adults with SCA. While additional training is needed, UNet may be integrated into the clinical workflow as a screening tool, aiding in SCI diagnosis.
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Affiliation(s)
- Yasheng Chen
- Department of Neurology (Y.C., Y.W., C.-L.P., S.F., M.M.B., H.A., J.-M.L., A.L.F.), Washington University School of Medicine, St. Louis, MO
| | - Yan Wang
- Department of Neurology (Y.C., Y.W., C.-L.P., S.F., M.M.B., H.A., J.-M.L., A.L.F.), Washington University School of Medicine, St. Louis, MO
| | - Chia-Ling Phuah
- Department of Neurology (Y.C., Y.W., C.-L.P., S.F., M.M.B., H.A., J.-M.L., A.L.F.), Washington University School of Medicine, St. Louis, MO
| | - Melanie E Fields
- Division of Pediatric Hematology/Oncology (M.E.F.), Washington University School of Medicine, St. Louis, MO
| | - Kristin P Guilliams
- Division of Pediatric Neurology (K.P.G.), Washington University School of Medicine, St. Louis, MO
| | - Slim Fellah
- Department of Neurology (Y.C., Y.W., C.-L.P., S.F., M.M.B., H.A., J.-M.L., A.L.F.), Washington University School of Medicine, St. Louis, MO
| | - Martin N Reis
- Mallinckrodt Institute of Radiology (M.N.R., H.A., J.-M.L., R.C.M., A.L.F.), Washington University School of Medicine, St. Louis, MO
| | - Michael M Binkley
- Department of Neurology (Y.C., Y.W., C.-L.P., S.F., M.M.B., H.A., J.-M.L., A.L.F.), Washington University School of Medicine, St. Louis, MO
| | - Hongyu An
- Department of Neurology (Y.C., Y.W., C.-L.P., S.F., M.M.B., H.A., J.-M.L., A.L.F.), Washington University School of Medicine, St. Louis, MO
- Mallinckrodt Institute of Radiology (M.N.R., H.A., J.-M.L., R.C.M., A.L.F.), Washington University School of Medicine, St. Louis, MO
| | - Jin-Moo Lee
- Department of Neurology (Y.C., Y.W., C.-L.P., S.F., M.M.B., H.A., J.-M.L., A.L.F.), Washington University School of Medicine, St. Louis, MO
- Mallinckrodt Institute of Radiology (M.N.R., H.A., J.-M.L., R.C.M., A.L.F.), Washington University School of Medicine, St. Louis, MO
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology (M.N.R., H.A., J.-M.L., R.C.M., A.L.F.), Washington University School of Medicine, St. Louis, MO
| | - Lori C Jordan
- Division of Pediatric Neurology, Department of Pediatrics, Vanderbilt University of Medicine, Nashville, TN (L.C.J.)
| | - Michael R DeBaun
- Division of Hematology and Oncology, Department of Pediatrics, Vanderbilt-Meharry Center of Excellence in Sickle Cell Disease, Vanderbilt University Medical Center, Nashville, TN (M.R.D.)
| | - Andria L Ford
- Department of Neurology (Y.C., Y.W., C.-L.P., S.F., M.M.B., H.A., J.-M.L., A.L.F.), Washington University School of Medicine, St. Louis, MO
- Mallinckrodt Institute of Radiology (M.N.R., H.A., J.-M.L., R.C.M., A.L.F.), Washington University School of Medicine, St. Louis, MO
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2
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Ying C, Kang P, Binkley MM, Ford AL, Chen Y, Hassenstab J, Wang Q, Strain J, Morris JC, Lee JM, Benzinger TLS, An H. Neuroinflammation and amyloid deposition in the progression of mixed Alzheimer and vascular dementia. Neuroimage Clin 2023; 38:103373. [PMID: 36933348 PMCID: PMC10036862 DOI: 10.1016/j.nicl.2023.103373] [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: 10/29/2022] [Revised: 01/18/2023] [Accepted: 03/08/2023] [Indexed: 03/17/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) and vascular contributions to cognitive impairment and dementia (VCID) pathologies coexist in patients with cognitive impairment. Abnormal amyloid beta (Aβ) deposition is the hallmark pathologic biomarker for AD. Neuroinflammation may be a pathophysiological mechanism in both AD and VCID. In this study, we aimed to understand the role of neuroinflammation and Aβ deposition in white matter hyperintensities (WMH) progression and cognitive decline over a decade in patients with mixed AD and VCID pathologies. METHODS Twenty-four elderly participants (median [interquartile range] age 78 [64.8, 83] years old, 14 female) were recruited from the Knight Alzheimer Disease Research Center. 11C-PK11195 standard uptake value ratio (SUVR) and 11C-PiB mean cortical binding potential (MCBP) were used to evaluate neuroinflammation and Aβ deposition in-vivo, respectively. Fluid-attenuated inversion recovery MR images were acquired to obtain baseline WMH volume and its progression over 11.5 years. Composite cognitive scores (global, processing speed and memory) were computed at baseline and follow-up over 7.5 years. Multiple linear regression models evaluated the association between PET biomarkers (11C-PK11195 SUVR and 11C-PiB MCBP) and baseline WMH volume and cognitive function. Moreover, linear mixed-effects models evaluated whether PET biomarkers predicted greater WMH progression or cognitive decline over a decade. RESULTS Fifteen participants (62.5%) had mixed AD (positive PiB) and VCID (at least one vascular risk factor) pathologies. Elevated 11C-PK11195 SUVR, but not 11C-PiB MCBP, was associated with greater baseline WMH volume and predicted greater WMH progression. Elevated 11C-PiB MCBP was associated with baseline memory and global cognition. Elevated 11C-PK11195 SUVR and elevated 11C-PiB MCBP independently predicted greater global cognition and processing speed declines. No association was found between 11C-PK11195 SUVR and 11C-PiB MCBP. CONCLUSIONS Neuroinflammation and Aβ deposition may represent two distinct pathophysiological pathways, and both independently contributed to the progression of cognitive impairment in mixed AD and VCID pathologies. Neuroinflammation, but not Aβ deposition, contributed to WMH volume and progression.
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Affiliation(s)
- Chunwei Ying
- Department of Biomedical Engineering, Washington University in St. Louis, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, USA
| | - Peter Kang
- Department of Neurology, Washington University School of Medicine, USA
| | - Michael M Binkley
- Department of Neurology, Washington University School of Medicine, USA
| | - Andria L Ford
- Department of Neurology, Washington University School of Medicine, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, USA
| | - Yasheng Chen
- Department of Neurology, Washington University School of Medicine, USA
| | - Jason Hassenstab
- Department of Neurology, Washington University School of Medicine, USA; Knight Alzheimer Disease Research Center, Washington University School of Medicine, USA
| | - Qing Wang
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, USA; Knight Alzheimer Disease Research Center, Washington University School of Medicine, USA
| | - Jeremy Strain
- Department of Neurology, Washington University School of Medicine, USA
| | - John C Morris
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, USA
| | - Jin-Moo Lee
- Department of Biomedical Engineering, Washington University in St. Louis, USA; Department of Neurology, Washington University School of Medicine, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, USA
| | - Tammie L S Benzinger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, USA; Knight Alzheimer Disease Research Center, Washington University School of Medicine, USA; Department of Neurosurgery, Washington University School of Medicine, USA
| | - Hongyu An
- Department of Biomedical Engineering, Washington University in St. Louis, USA; Department of Neurology, Washington University School of Medicine, USA; Mallinckrodt Institute of Radiology, Washington University School of Medicine, USA.
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3
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Lewis JB, Mirro A, Rutlin J, Binkley MM, Fellah S, Chen Y, Ford AL, An H, Fields ME, Lee JM, Shimony J, Guilliams KP. Abstract 63: Age-related Changes In Gray Matter Cerebral Metabolism And Vascular Reactivity In Children. Stroke 2023. [DOI: 10.1161/str.54.suppl_1.63] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Introduction:
Metabolic demand changes throughout childhood as the brain develops, peaking in the 2
nd
decade of life. Cerebral blood flow (CBF) is dynamic throughout childhood, likely in response to the increased metabolic demand of brain development. Cerebrovascular reactivity (CVR) reflects the ability to further increase CBF in response to a stimulus, such as carbon dioxide (CO
2
). We hypothesized that gray matter oxygen metabolism (GM CMRO
2
) is increased in younger children, corresponding to higher GM CBF and lower GM CVR.
Methods:
CVR was calculated as the proportional change of a subject’s MRI-measured blood oxygen level dependent signal in response to an increase in end-tidal CO
2
administered by the RespirAct® RA-MR™ device. GM CMRO
2
was calculated voxel-by-voxel as the product of GM CBF (arterial spin labeling), GM oxygen extraction fraction (asymmetric spin echo), and arterial oxygen content (= Hb х (oxygen saturation)х1.34). Univariate relationships were tested using Spearman’s correlation coefficient, and corrected for multiple comparisons.
Results:
GM CVR, CBF, and CMRO
2
were calculated for 15 healthy participants (ages 8-19, 7 male). GM CMRO
2
was highest in young children and decreased with age (ρ=-0.68, P=0.005), as did CBF (ρ =-0.67, P=0.006). CVR was lower in young children, increasing with age (ρ=0.58, P=0.02). However, while GM CVR correlated with CBF (ρ=-0.64, P=0.01) it did not significantly associate with CMRO
2
(ρ=-0.43, P=0.114).
Conclusion:
Although GM CMRO
2
and CVR both have age-related changes, CVR does not directly correlate with CMRO
2
. Rather, their relationship may be moderated through other influences on CBF, as further study will investigate.
Figure: Linear fits and 95% confidence intervals of subject data, including age, GM CBF, and GM CMRO
2
, versus GM CVR. P-values are from Spearman’s test for monotonic correlation.
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Affiliation(s)
| | - Amy Mirro
- WASHINGTON UNIVERSITY IN ST LOUIS, Saint Louis, MO
| | | | | | | | | | | | - Hongyu An
- WASHINGTON UNIV ST LOUIS, Saint Louis, MO
| | | | - Jin-moo Lee
- WASHINGTON UNIVERSITY SCHOOL OF MED, Saint Louis, MO
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4
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Kang P, Fellah S, Binkley MM, Chen Y, Liszewski MK, Lee JM, Miner J, Atkinson JP, An H, Ford AL. Abstract 129: Cerebral Oxygen Extraction Fraction Predicts White Matter Lesion Progression In Patients With A Monogenic Cerebral Small Vessel Disease. Stroke 2023. [DOI: 10.1161/str.54.suppl_1.129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Background:
A rare, monogenic cerebral small vessel disease (cSVD), retinal vasculopathy with cerebral leukoencephalopathy and systemic manifestations (RVCL-S), is associated with progressive cerebral ischemia and accelerated vascular cognitive impairment, resulting in premature death. We hypothesized that low cerebral blood flow (CBF) and elevated oxygen extraction fraction (OEF), as metrics of microvascular ischemia, would predict growth of white matter lesions (WML) and other neuroimaging manifestations of cSVD.
Methods:
We prospectively performed sequential brain MRI in a cohort of RVCL-S participants. Pseudocontinuous arterial spin labeling and asymmetric spin echo quantified CBF and OEF in normal appearing white matter (NAWM), respectively. WMLs were manually delineated on FLAIR. WM volumes were segmented and quantified. Diffusion tensor imaging (DTI) was used to measure NAWM mean diffusivity (MD).
Results:
Each of 14 RVCL-S participants underwent a median of 4.5 scans (IQR 3 - 6.75) with a median of 6.5 months (IQR 5.8 - 8.6) between scans performed over 2.9 years (IQR 2.0 - 4.2). Elevated NAWM OEF from the previous MRI, but not CBF, was associated with WML growth (ρ = 0.672, p < 0.0001), WM atrophy (ρ = 0.654, p < 0.0001), and increased MD (ρ = 0.714, p < 0.0001, Figure). After adjusting for age, sex, previous WML volume, and participant, previous OEF remained an independent predictor of WML growth (β = 7.04 (1.08, 13.01), p = 0.021). NAWM OEF was not retained in the mixed models predicting WM atrophy and MD.
Conclusion:
We found evidence that hypoxic-ischemic physiology, as measured by elevated OEF in NAWM, independently predicted WML growth. Previous OEF was associated with WM atrophy and decrease in microstructural integrity on follow-up. This work suggests that ischemia in normal brain regions may be a harbinger of disease progression in patients with RVCL-S, an inherited cSVD. Additionally, OEF may serve as a potential predictive biomarker in sporadic cSVD.
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Affiliation(s)
- Peter Kang
- Washington Univ Sch of Medicine, Saint Louis, MO
| | | | | | | | | | - Jin-Moo Lee
- WASHINGTON UNIVERSITY SCHOOL OF MED, Saint Louis, MO
| | | | | | - Hongyu An
- WASHINGTON UNIV ST LOUIS, Saint Louis, MO
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5
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Hulbert ML, Fields ME, Guilliams KP, Bijlani P, Shenoy S, Fellah S, Towerman AS, Binkley MM, McKinstry RC, Shimony JS, Chen Y, Eldeniz C, Ragan DK, Vo K, An H, Lee JM, Ford AL. Normalization of cerebral hemodynamics after hematopoietic stem cell transplant in children with sickle cell disease. Blood 2023; 141:335-344. [PMID: 36040484 PMCID: PMC9936296 DOI: 10.1182/blood.2022016618] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 08/17/2022] [Accepted: 08/19/2022] [Indexed: 02/08/2023] Open
Abstract
Children with sickle cell disease (SCD) demonstrate cerebral hemodynamic stress and are at high risk of strokes. We hypothesized that curative hematopoietic stem cell transplant (HSCT) normalizes cerebral hemodynamics in children with SCD compared with pre-transplant baseline. Whole-brain cerebral blood flow (CBF) and oxygen extraction fraction (OEF) were measured by magnetic resonance imaging 1 to 3 months before and 12 to 24 months after HSCT in 10 children with SCD. Three children had prior overt strokes, 5 children had prior silent strokes, and 1 child had abnormal transcranial Doppler ultrasound velocities. CBF and OEF of HSCT recipients were compared with non-SCD control participants and with SCD participants receiving chronic red blood cell transfusion therapy (CRTT) before and after a scheduled transfusion. Seven participants received matched sibling donor HSCT, and 3 participants received 8 out of 8 matched unrelated donor HSCT. All received reduced-intensity preparation and maintained engraftment, free of hemolytic anemia and SCD symptoms. Pre-transplant, CBF (93.5 mL/100 g/min) and OEF (36.8%) were elevated compared with non-SCD control participants, declining significantly 1 to 2 years after HSCT (CBF, 72.7 mL/100 g per minute; P = .004; OEF, 27.0%; P = .002), with post-HSCT CBF and OEF similar to non-SCD control participants. Furthermore, HSCT recipients demonstrated greater reduction in CBF (-19.4 mL/100 g/min) and OEF (-8.1%) after HSCT than children with SCD receiving CRTT after a scheduled transfusion (CBF, -0.9 mL/100 g/min; P = .024; OEF, -3.3%; P = .001). Curative HSCT normalizes whole-brain hemodynamics in children with SCD. This restoration of cerebral oxygen reserve may explain stroke protection after HSCT in this high-risk patient population.
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Affiliation(s)
- Monica L. Hulbert
- Department of Pediatrics, Washington University in St. Louis, St. Louis, MO
| | - Melanie E. Fields
- Department of Pediatrics, Washington University in St. Louis, St. Louis, MO
- Department of Neurology, Washington University in St. Louis, St. Louis, MO
| | - Kristin P. Guilliams
- Department of Pediatrics, Washington University in St. Louis, St. Louis, MO
- Department of Neurology, Washington University in St. Louis, St. Louis, MO
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO
| | - Priyesha Bijlani
- Department of Internal Medicine, University of California San Diego, San Diego, CA
| | - Shalini Shenoy
- Department of Pediatrics, Washington University in St. Louis, St. Louis, MO
| | - Slim Fellah
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO
| | - Alison S. Towerman
- Department of Pediatrics, Washington University in St. Louis, St. Louis, MO
| | | | - Robert C. McKinstry
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO
| | - Joshua S. Shimony
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO
| | - Yasheng Chen
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO
| | - Cihat Eldeniz
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO
| | - Dustin K. Ragan
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI
| | - Katie Vo
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO
| | - Hongyu An
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO
| | - Jin-Moo Lee
- Department of Neurology, Washington University in St. Louis, St. Louis, MO
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO
| | - Andria L. Ford
- Department of Neurology, Washington University in St. Louis, St. Louis, MO
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO
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6
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Guerriero RM, Morrissey MJ, Loe M, Reznikov J, Binkley MM, Ganniger A, Griffith JL, Khanmohammadi S, Rudock R, Guilliams KP, Ching S, Tomko SR. Macroperiodic Oscillations Are Associated With Seizures Following Acquired Brain Injury in Young Children. J Clin Neurophysiol 2022; 39:602-609. [PMID: 33587388 PMCID: PMC8674933 DOI: 10.1097/wnp.0000000000000828] [Citation(s) in RCA: 3] [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] [Indexed: 11/26/2022] Open
Abstract
PURPOSE Seizures occur in 10% to 40% of critically ill children. We describe a phenomenon seen on color density spectral array but not raw EEG associated with seizures and acquired brain injury in pediatric patients. METHODS We reviewed EEGs of 541 children admitted to an intensive care unit between October 2015 and August 2018. We identified 38 children (7%) with a periodic pattern on color density spectral array that oscillates every 2 to 5 minutes and was not apparent on the raw EEG tracing, termed macroperiodic oscillations (MOs). Internal validity measures and interrater agreement were assessed. We compared demographic and clinical data between those with and without MOs. RESULTS Interrater reliability yielded a strong agreement for MOs identification (kappa: 0.778 [0.542-1.000]; P < 0.0001). There was a 76% overlap in the start and stop times of MOs among reviewers. All patients with MOs had seizures as opposed to 22.5% of the general intensive care unit monitoring population ( P < 0.0001). Macroperiodic oscillations occurred before or in the midst of recurrent seizures. Patients with MOs were younger (median of 8 vs. 208 days; P < 0.001), with indications for EEG monitoring more likely to be clinical seizures (42 vs. 16%; P < 0.001) or traumatic brain injury (16 vs. 5%, P < 0.01) and had fewer premorbid neurologic conditions (10.5 vs. 33%; P < 0.01). CONCLUSIONS Macroperiodic oscillations are a slow periodic pattern occurring over a longer time scale than periodic discharges in pediatric intensive care unit patients. This pattern is associated with seizures in young patients with acquired brain injuries.
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Affiliation(s)
- Réjean M. Guerriero
- Division of Pediatric Neurology, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, U.S.A
| | - Michael J. Morrissey
- Division of Pediatric Neurology, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, U.S.A
| | - Maren Loe
- Medical Scientist Training Program, Washington University School of Medicine, Washington University School of Medicine, St. Louis, Missouri, U.S.A
- Department of Electrical and Systems Engineering, Washington University School of Medicine, St. Louis, Missouri, U.S.A
| | - Joseph Reznikov
- Division of Pediatric Neurology, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, U.S.A
| | - Michael M. Binkley
- Division of Pediatric Neurology, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, U.S.A
| | - Alex Ganniger
- Division of Pediatric Neurology, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, U.S.A
| | - Jennifer L. Griffith
- Division of Pediatric Neurology, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, U.S.A
| | - Sina Khanmohammadi
- Department of Electrical and Systems Engineering, Washington University School of Medicine, St. Louis, Missouri, U.S.A
| | - Robert Rudock
- Division of Pediatric Neurology, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, U.S.A
| | - Kristin P. Guilliams
- Division of Pediatric Neurology, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, U.S.A
- Division of Critical Care, Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, U.S.A
| | - ShiNung Ching
- Department of Electrical and Systems Engineering, Washington University School of Medicine, St. Louis, Missouri, U.S.A
| | - Stuart R. Tomko
- Division of Pediatric Neurology, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, U.S.A
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7
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Wang Y, Guilliams KP, Fields ME, Fellah S, Binkley MM, Reis M, Vo KD, Chen Y, Ying C, Blinder M, King AA, Hulbert ML, An H, Lee JM, Ford AL. Silent Infarcts, White Matter Integrity, and Oxygen Metabolic Stress in Young Adults With and Without Sickle Cell Trait. Stroke 2022; 53:2887-2895. [PMID: 35545940 PMCID: PMC9398918 DOI: 10.1161/strokeaha.121.036567] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [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: 11/16/2022]
Abstract
BACKGROUND Individuals with sickle cell anemia have heightened risk of stroke and cognitive dysfunction. Given its high prevalence globally, whether sickle cell trait (SCT) is a risk factor for neurological injury has been of interest; however, data have been limited. We hypothesized that young, healthy adults with SCT would show normal cerebrovascular structure and hemodynamic function. METHODS As a case-control study, young adults with (N=25, cases) and without SCT (N=24, controls) underwent brain magnetic resonance imaging to quantify brain volume, microstructural integrity (fractional anisotropy), silent cerebral infarcts (SCI), intracranial stenosis, and aneurysms. Pseudocontinuous arterial spin labeling and asymmetric spin echo sequences measured cerebral blood flow and oxygen extraction fraction, respectively, from which cerebral metabolic oxygen demand was calculated. Imaging metrics were compared between SCT cases and controls. SCI volume was correlated with baseline characteristics. RESULTS Compared with controls, adults with SCT demonstrated similar normalized brain volumes (SCT 0.80 versus control 0.81, P=0.41), white matter fractional anisotropy (SCT 0.41 versus control 0.43, P=0.37), cerebral blood flow (SCT 62.04 versus control, 61.16 mL/min/100 g, P=0.67), oxygen extraction fraction (SCT 0.27 versus control 0.27, P=0.31), and cerebral metabolic oxygen demand (SCT 2.71 versus control 2.70 mL/min/100 g, P=0.96). One per cohort had an intracranial aneurysm. None had intracranial stenosis. The SCT cases and controls showed similar prevalence and volume of SCIs; however, in the subset of participants with SCIs, the SCT cases had greater SCI volume versus controls (0.29 versus 0.07 mL, P=0.008). Of baseline characteristics, creatinine was mildly elevated in the SCT cohort (0.9 versus 0.8 mg/dL, P=0.053) and correlated with SCI volume (ρ=0.49, P=0.032). In the SCT cohort, SCI distribution was similar to that of young adults with sickle cell anemia. CONCLUSIONS Adults with SCT showed normal cerebrovascular structure and hemodynamic function. These findings suggest that healthy individuals with SCT are unlikely to be at increased risk for early or accelerated ischemic brain injury.
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Affiliation(s)
- Yan Wang
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Kristin P Guilliams
- Division of Pediatric Neurology, Washington University School of Medicine, St. Louis, MO
| | - Melanie E Fields
- Division of Pediatric Hematology/Oncology, Washington University School of Medicine, St. Louis, MO
| | - Slim Fellah
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Michael M Binkley
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Martin Reis
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Katie D. Vo
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Yasheng Chen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Chunwei Ying
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Morey Blinder
- Program in Occupational Therapy and Pediatrics, Division of Hematology and Oncology, Washington University School of Medicine and St. Louis Children’s Hospital, St. Louis, MO
| | - Allison A. King
- Department of Medicine, Division of hematology/oncology, Washington University School of Medicine, St. Louis, MO
| | - Monica L. Hulbert
- Division of Pediatric Hematology/Oncology, Washington University School of Medicine, St. Louis, MO
| | - Hongyu An
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Jin-Moo Lee
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Andria L. Ford
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
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8
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Ouyang A, Gadiraju M, Gadiraju V, Power L, Gadiraju V, Liu G, Guilliams KP, Binkley MM, Badawy SM, Fields ME. GRAPES: Trivia game increases sickle cell disease knowledge in patients and providers and mitigates healthcare biases. Pediatr Blood Cancer 2022; 69:e29717. [PMID: 35441455 DOI: 10.1002/pbc.29717] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 03/23/2022] [Accepted: 03/25/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND Patients with sickle cell disease (SCD) endure healthcare biases that are partially due to a lack of disease-specific education among healthcare providers. Furthermore, there is a paucity of age-appropriate health education materials for patients with SCD. To address this gap, we created the GRAPES tool (Game to Raise Awareness for Patient/Provider/Public Education of SCD; www.tinyurl.com/GRAPESgame) and hypothesized that utilization of the GRAPES tool will improve patient and provider SCD knowledge and mitigate healthcare bias. PROCEDURE The GRAPES tool is an online, single-player trivia game. A feasibility study was conducted in pediatric patients with SCD at age 10 years or older and registered nurses. All participants were assessed for change in SCD-relevant knowledge and satisfaction post-gameplay. Providers were assessed for change in attitudes toward patients with SCD post-gameplay. RESULTS Twenty-five patients and 25 providers were enrolled. All participants (P < 0.001), and specifically within the patient (P = 0.019) and provider (P < 0.001) cohorts, showed increased SCD knowledge post-gameplay. Both patients and providers reported high satisfaction with GRAPES. Provider negative attitudes were reduced (P = 0.007) post-gameplay without change in positive attitudes (P = 0.959). Providers demonstrated post-gameplay reduced (P = 0.001) belief that patients' changing behavior around providers indicates inappropriate drug-seeking behavior. CONCLUSIONS This study demonstrates the feasibility and acceptability of the GRAPES tool as a potential digital, behavioral intervention to provide educational materials for patients and their providers in different clinical settings, improve knowledge about SCD, and decrease stigma against patients with SCD in the healthcare setting.
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Affiliation(s)
- Amy Ouyang
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri
| | - Manasa Gadiraju
- University of Missouri Kansas City School of Medicine, Kansas City, Missouri
| | - Veda Gadiraju
- University of Washington School of Medicine, Seattle, Washington
| | - Landon Power
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri
| | | | - Gloria Liu
- Rutgers University, New Brunswick, New Jersey
| | - Kristin P Guilliams
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri.,Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri.,Department of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Michael M Binkley
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri
| | - Sherif M Badawy
- Division of Hematology, Oncology and Stem Cell Transplant, Ann & Robert Lurie Children's Hospital of Chicago, Chicago, Illinois.,Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Melanie E Fields
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri.,Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri
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9
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Fields ME, Mirro AE, Binkley MM, Guilliams KP, Lewis JB, Fellah S, Chen Y, Hulbert ML, An H, Ford AL, Lee J. Cerebral oxygen metabolic stress is increased in children with sickle cell anemia compared to anemic controls. Am J Hematol 2022; 97:682-690. [PMID: 35113471 DOI: 10.1002/ajh.26485] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 01/22/2022] [Accepted: 01/29/2022] [Indexed: 01/28/2023]
Abstract
Patients with sickle cell anemia (SCA) experience cerebral metabolic stress with an increase in oxygen extraction fraction (OEF) to compensate for reduced oxygen carrying capacity due to anemia. It remains unclear if anemia alone drives this metabolic stress. Using MRI, we collected voxel-wise OEF measurements to test our hypothesis that OEF would be elevated in anemic controls without SCA (AC) compared to healthy controls (HC), but OEF would be even higher in SCA compared to AC. Brain MRIs (N = 159) were obtained in 120 participants (34 HC, 27 AC, 59 SCA). While hemoglobin was lower in AC versus HC (p < 0.001), hemoglobin was not different between AC and SCA cohorts (p = 0.459). Whole brain OEF was higher in AC compared to HC (p < 0.001), but lower compared to SCA (p = 0.001). Whole brain OEF remained significantly higher in SCA compared to HC (p = 0.001) while there was no longer a difference between AC versus HC (p = 0.935) in a multivariate model controlling for age and hemoglobin. OEF peaked within the border zone regions of the brain in both SCA and AC cohorts, but the volume of white matter with regionally elevated OEF in AC was smaller (1.8%) than SCA (58.0%). While infarcts colocalized within regions of elevated OEF, more SCA participants had infarcts than AC (p < 0.001). We conclude that children with SCA experience elevated OEF compared to AC and HC after controlling for the impact of anemia, suggesting that there are other pathophysiologic factors besides anemia contributing to cerebral metabolic stress in children with SCA.
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Affiliation(s)
- Melanie E. Fields
- Department of Pediatrics Washington University School of Medicine St. Louis Missouri USA
- Department of Neurology Washington University School of Medicine St. Louis Missouri USA
| | - Amy E. Mirro
- Department of Pediatrics Washington University School of Medicine St. Louis Missouri USA
| | - Michael M. Binkley
- Department of Neurology Washington University School of Medicine St. Louis Missouri USA
| | - Kristin P. Guilliams
- Department of Pediatrics Washington University School of Medicine St. Louis Missouri USA
- Department of Neurology Washington University School of Medicine St. Louis Missouri USA
- Mallinckrodt Institute of Radiology Washington University School of Medicine St. Louis Missouri USA
| | - Josiah B. Lewis
- Department of Neurology Washington University School of Medicine St. Louis Missouri USA
| | - Slim Fellah
- Department of Neurology Washington University School of Medicine St. Louis Missouri USA
| | - Yasheng Chen
- Department of Neurology Washington University School of Medicine St. Louis Missouri USA
| | - Monica L. Hulbert
- Department of Pediatrics Washington University School of Medicine St. Louis Missouri USA
| | - Hongyu An
- Mallinckrodt Institute of Radiology Washington University School of Medicine St. Louis Missouri USA
| | - Andria L. Ford
- Department of Neurology Washington University School of Medicine St. Louis Missouri USA
- Mallinckrodt Institute of Radiology Washington University School of Medicine St. Louis Missouri USA
| | - Jin‐Moo Lee
- Department of Neurology Washington University School of Medicine St. Louis Missouri USA
- Mallinckrodt Institute of Radiology Washington University School of Medicine St. Louis Missouri USA
- Department of Biomedical Engineering Washington University School of Medicine St. Louis Missouri USA
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10
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Chen S, Fraum TJ, Eldeniz C, Mhlanga J, Gan W, Vahle T, Krishnamurthy UB, Faul D, Gach HM, Binkley MM, Kamilov US, Laforest R, An H. MR-assisted PET respiratory motion correction using deep-learning based short-scan motion fields. Magn Reson Med 2022; 88:676-690. [PMID: 35344592 DOI: 10.1002/mrm.29233] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 09/30/2021] [Revised: 02/03/2022] [Accepted: 02/23/2022] [Indexed: 11/11/2022]
Abstract
PURPOSE We evaluated the impact of PET respiratory motion correction (MoCo) in a phantom and patients. Moreover, we proposed and examined a PET MoCo approach using motion vector fields (MVFs) from a deep-learning reconstructed short MRI scan. METHODS The evaluation of PET MoCo was performed in a respiratory motion phantom study with varying lesion sizes and tumor to background ratios (TBRs) using a static scan as the ground truth. MRI-based MVFs were derived from either 2000 spokes (MoCo2000 , 5-6 min acquisition time) using a Fourier transform reconstruction or 200 spokes (MoCoP2P200 , 30-40 s acquisition time) using a deep-learning Phase2Phase (P2P) reconstruction and then incorporated into PET MoCo reconstruction. For six patients with hepatic lesions, the performance of PET MoCo was evaluated using quantitative metrics (SUVmax , SUVpeak , SUVmean , lesion volume) and a blinded radiological review on lesion conspicuity. RESULTS MRI-assisted PET MoCo methods provided similar results to static scans across most lesions with varying TBRs in the phantom. Both MoCo2000 and MoCoP2P200 PET images had significantly higher SUVmax , SUVpeak , SUVmean and significantly lower lesion volume than non-motion-corrected (non-MoCo) PET images. There was no statistical difference between MoCo2000 and MoCoP2P200 PET images for SUVmax , SUVpeak , SUVmean or lesion volume. Both radiological reviewers found that MoCo2000 and MoCoP2P200 PET significantly improved lesion conspicuity. CONCLUSION An MRI-assisted PET MoCo method was evaluated using the ground truth in a phantom study. In patients with hepatic lesions, PET MoCo images improved quantitative and qualitative metrics based on only 30-40 s of MRI motion modeling data.
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Affiliation(s)
- Sihao Chen
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Tyler J Fraum
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Cihat Eldeniz
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Joyce Mhlanga
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Weijie Gan
- Department of Computer Science & Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | | | | | - David Faul
- Siemens Medical Solutions USA, Inc., Malvern, PA, USA
| | - H Michael Gach
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.,Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA.,Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MO, USA
| | - Michael M Binkley
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Ulugbek S Kamilov
- Department of Computer Science & Engineering, Washington University in St. Louis, St. Louis, MO, USA.,Department of Electrical & Systems Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Richard Laforest
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Hongyu An
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.,Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA.,Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA.,Department of Electrical & Systems Engineering, Washington University in St. Louis, St. Louis, MO, USA
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11
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Ford AL, Hsu HC, Binkley MM, Rogers S, Imai T, Maslov K, Doctor A, Wang LV, Lee JM. Probing single-cell oxygen reserve in sickled erythrocytes via in vivo photoacoustic microscopy. Am J Hematol 2022; 97:E11-E14. [PMID: 34687466 PMCID: PMC8671229 DOI: 10.1002/ajh.26387] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 10/16/2021] [Accepted: 10/20/2021] [Indexed: 01/03/2023]
Affiliation(s)
- Andria L. Ford
- Department of Neurology, Washington University School of Medicine, St. Louis, MO,Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Hsun-Chia Hsu
- Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, Pasadena, CA,Currently at Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland
| | - Michael M. Binkley
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Stephen Rogers
- Center for Blood Oxygen Transport and Hemostasis & Department of Pediatrics, University of Maryland, Baltimore, Maryland
| | - Toru Imai
- Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, Pasadena, CA
| | - Konstantin Maslov
- Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, Pasadena, CA
| | - Allan Doctor
- Center for Blood Oxygen Transport and Hemostasis & Department of Pediatrics, University of Maryland, Baltimore, Maryland
| | - Lihong V. Wang
- Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, Pasadena, CA
| | - Jin-Moo Lee
- Department of Neurology, Washington University School of Medicine, St. Louis, MO,Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO,Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, Missouri
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12
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Guilliams KP, Gupta N, Srinivasan S, Binkley MM, Ying C, Couture L, Gross J, Wallace A, McKinstry RC, Vo K, Lee JM, An H, Goyal MS. MR Imaging Differences in the Circle of Willis between Healthy Children and Adults. AJNR Am J Neuroradiol 2021; 42:2062-2069. [PMID: 34556478 PMCID: PMC8583273 DOI: 10.3174/ajnr.a7290] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 01/29/2021] [Accepted: 07/19/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Asymmetries in the circle of Willis have been associated with several conditions, including migraines and stroke, but they may also be age-dependent. This study examined the impact of age and age-dependent changes in cerebral perfusion on circle of Willis anatomy in healthy children and adults. MATERIALS AND METHODS We performed an observational, cross-sectional study of bright and black-blood imaging of the proximal cerebral vasculature using TOF-MRA and T2 sampling perfection with application-optimized contrasts by using different flip angle evolution (T2-SPACE) imaging at the level of the circle of Willis in 23 healthy children and 43 healthy adults (4-74 years of age). We compared arterial diameters measured manually and cerebral perfusion via pseudocontinuous arterial spin-labeling between children and adults. RESULTS We found that the summed cross-sectional area of the circle of Willis is larger in children than in adults, though the effect size was smaller with T2-SPACE-based measurements than with TOF-MRA. The circle of Willis is also more symmetric in children, and nonvisualized segments occur more frequently in adults than in children. Moreover, the size and symmetry of the circle of Willis correlate with cerebral perfusion. CONCLUSIONS Our results demonstrate that the circle of Willis is different in size and symmetry in healthy children compared with adults, likely associated with developmental changes in cerebral perfusion. Further work is needed to understand why asymmetric vasculature develops in some but not all adults.
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Affiliation(s)
- K P Guilliams
- From the Department of Neurology (K.P.G., M.M.B., J.-M.L., M.S.G.)
- Department of Pediatrics (K.P.G., R.C.M.)
- Mallinckrodt Institute of Radiology (K.P.G., N.G., S.S., C.Y., L.C., R.C.M., K.V., J.-M.L., H.A., M.S.G.)
| | - N Gupta
- Mallinckrodt Institute of Radiology (K.P.G., N.G., S.S., C.Y., L.C., R.C.M., K.V., J.-M.L., H.A., M.S.G.)
| | - S Srinivasan
- Mallinckrodt Institute of Radiology (K.P.G., N.G., S.S., C.Y., L.C., R.C.M., K.V., J.-M.L., H.A., M.S.G.)
| | - M M Binkley
- From the Department of Neurology (K.P.G., M.M.B., J.-M.L., M.S.G.)
| | - C Ying
- Mallinckrodt Institute of Radiology (K.P.G., N.G., S.S., C.Y., L.C., R.C.M., K.V., J.-M.L., H.A., M.S.G.)
| | - L Couture
- Mallinckrodt Institute of Radiology (K.P.G., N.G., S.S., C.Y., L.C., R.C.M., K.V., J.-M.L., H.A., M.S.G.)
| | - J Gross
- Division of Neuroradiology (J.G.), Midwest Radiology, St. Paul, Minnesota
| | - A Wallace
- Department of Neurointerventional Surgery (A.W.), Ascension Columbia St. Mary's Hospital, Milwaukee, Wisconsin
| | - R C McKinstry
- Department of Pediatrics (K.P.G., R.C.M.)
- Mallinckrodt Institute of Radiology (K.P.G., N.G., S.S., C.Y., L.C., R.C.M., K.V., J.-M.L., H.A., M.S.G.)
| | - K Vo
- Mallinckrodt Institute of Radiology (K.P.G., N.G., S.S., C.Y., L.C., R.C.M., K.V., J.-M.L., H.A., M.S.G.)
| | - J-M Lee
- From the Department of Neurology (K.P.G., M.M.B., J.-M.L., M.S.G.)
- Mallinckrodt Institute of Radiology (K.P.G., N.G., S.S., C.Y., L.C., R.C.M., K.V., J.-M.L., H.A., M.S.G.)
- Department of Biomedical Engineering (J.-M.L.)
| | - H An
- Mallinckrodt Institute of Radiology (K.P.G., N.G., S.S., C.Y., L.C., R.C.M., K.V., J.-M.L., H.A., M.S.G.)
| | - M S Goyal
- From the Department of Neurology (K.P.G., M.M.B., J.-M.L., M.S.G.)
- Mallinckrodt Institute of Radiology (K.P.G., N.G., S.S., C.Y., L.C., R.C.M., K.V., J.-M.L., H.A., M.S.G.)
- Neuroscience (M.S.G.), Washington University School of Medicine, St. Louis, Missouri
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13
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Chen Y, Ying C, Binkley MM, Juttukonda MR, Flores S, Laforest R, Benzinger TL, An H. Deep learning-based T1-enhanced selection of linear attenuation coefficients (DL-TESLA) for PET/MR attenuation correction in dementia neuroimaging. Magn Reson Med 2021; 86:499-513. [PMID: 33559218 PMCID: PMC8091494 DOI: 10.1002/mrm.28689] [Citation(s) in RCA: 8] [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: 07/28/2020] [Revised: 12/23/2020] [Accepted: 12/29/2020] [Indexed: 12/31/2022]
Abstract
PURPOSE The accuracy of existing PET/MR attenuation correction (AC) has been limited by a lack of correlation between MR signal and tissue electron density. Based on our finding that longitudinal relaxation rate, or R1 , is associated with CT Hounsfield unit in bone and soft tissues in the brain, we propose a deep learning T1 -enhanced selection of linear attenuation coefficients (DL-TESLA) method to incorporate quantitative R1 for PET/MR AC and evaluate its accuracy and longitudinal test-retest repeatability in brain PET/MR imaging. METHODS DL-TESLA uses a 3D residual UNet (ResUNet) for pseudo-CT (pCT) estimation. With a total of 174 participants, we compared PET AC accuracy of DL-TESLA to 3 other methods adopting similar 3D ResUNet structures but using UTE R 2 ∗ , or Dixon, or T1 -MPRAGE as input. With images from 23 additional participants repeatedly scanned, the test-retest differences and within-subject coefficient of variation of standardized uptake value ratios (SUVR) were compared between PET images reconstructed using either DL-TESLA or CT for AC. RESULTS DL-TESLA had (1) significantly lower mean absolute error in pCT, (2) the highest Dice coefficients in both bone and air, (3) significantly lower PET relative absolute error in whole brain and various brain regions, (4) the highest percentage of voxels with a PET relative error within both ±3% and ±5%, (5) similar to CT test-retest differences in SUVRs from the cerebrum and mean cortical (MC) region, and (6) similar to CT within-subject coefficient of variation in cerebrum and MC. CONCLUSION DL-TESLA demonstrates excellent PET/MR AC accuracy and test-retest repeatability.
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Affiliation(s)
- Yasheng Chen
- Dept. of Neurology, Washington University in St. Louis, St. Louis, Missouri 63110, USA
| | - Chunwei Ying
- Dept. of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri 63110, USA
| | - Michael M. Binkley
- Dept. of Neurology, Washington University in St. Louis, St. Louis, Missouri 63110, USA
| | - Meher R. Juttukonda
- Athinoula A. Martinos Center for Biomedical Imaging, Dept. of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts 02129, USA
- Dept. of Radiology, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Shaney Flores
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri 63110, USA
| | - Richard Laforest
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri 63110, USA
| | - Tammie L.S. Benzinger
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri 63110, USA
| | - Hongyu An
- Dept. of Neurology, Washington University in St. Louis, St. Louis, Missouri 63110, USA
- Dept. of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri 63110, USA
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri 63110, USA
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14
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Wang Y, Fellah S, Fields ME, Guilliams KP, Binkley MM, Eldeniz C, Shimony JS, Reis M, Vo KD, Chen Y, Lee JM, An H, Ford AL. Cerebral Oxygen Metabolic Stress, Microstructural Injury, and Infarction in Adults With Sickle Cell Disease. Neurology 2021; 97:e902-e912. [PMID: 34172536 PMCID: PMC8408504 DOI: 10.1212/wnl.0000000000012404] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [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: 01/14/2021] [Accepted: 05/26/2021] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE To determine the patient- and tissue-based relationships between cerebral hemodynamic and oxygen metabolic stress, microstructural injury, and infarct location in adults with sickle cell disease (SCD). METHODS Control and SCD participants underwent brain MRI to quantify cerebral blood flow (CBF), oxygen extraction fraction (OEF), mean diffusivity (MD), and fractional anisotropy (FA) within normal-appearing white matter (NAWM), and infarcts on FLAIR. Multivariable linear regression examined the patient- and voxel-based associations between hemodynamic and metabolic stress (defined as elevated CBF and OEF, respectively), white matter microstructure, and infarct location. RESULTS Of 83 control and SCD participants, adults with SCD demonstrated increased CBF (50.9 vs 38.8 mL/min/100g, p<0.001), increased OEF (0.35 vs 0.25, p<0.001), increased MD (0.76 vs 0.72 x 10-3mm2 s-1, p=0.005), and decreased FA (0.40 vs 0.42, p=0.021) within NAWM compared to controls. In multivariable analysis, increased OEF (β=0.19, p=0.035), but not CBF (β=0.00, p=0.340), independently predicted increased MD in the SCD cohort, while neither were predictors in controls. On voxel-wise regression, the SCD cohort demonstrated widespread OEF elevation, encompassing deep white matter regions of elevated MD and reduced FA, which spatially extended beyond high density infarct locations from the SCD cohort. CONCLUSION Elevated OEF, a putative index of cerebral oxygen metabolic stress, may provide a metric of ischemic vulnerability which could enable individualization of therapeutic strategies in SCD. The patient- and tissue-based relationships between elevated OEF, elevated MD, and cerebral infarcts suggest that oxygen metabolic stress may underlie microstructural injury prior to the development of cerebral infarcts in SCD.
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Affiliation(s)
- Yan Wang
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Slim Fellah
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Melanie E Fields
- Division of Pediatric Hematology/Oncology, Washington University School of Medicine, St. Louis, MO
| | - Kristin P Guilliams
- Division of Pediatric Neurology, Washington University School of Medicine, St. Louis, MO
| | - Michael M Binkley
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Cihat Eldeniz
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Martin Reis
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Katie D Vo
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Yasheng Chen
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Jin-Moo Lee
- Department of Neurology, Washington University School of Medicine, St. Louis, MO.,Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Hongyu An
- Department of Neurology, Washington University School of Medicine, St. Louis, MO.,Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Andria L Ford
- Department of Neurology, Washington University School of Medicine, St. Louis, MO; .,Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
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15
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Eldeniz C, Binkley MM, Fields M, Guilliams K, Ragan DK, Chen Y, Lee JM, Ford AL, An H. Bulk volume susceptibility difference between deoxyhemoglobin and oxyhemoglobin for HbA and HbS: A comparative study. Magn Reson Med 2021; 85:3383-3393. [PMID: 33475200 DOI: 10.1002/mrm.28668] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [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: 08/23/2020] [Revised: 11/15/2020] [Accepted: 12/11/2020] [Indexed: 12/26/2022]
Abstract
PURPOSE Sickle cell anemia is a blood disorder that alters the morphology and the oxygen affinity of the red blood cells. Cerebral oxygen extraction fraction measurements using quantitative BOLD contrast have been used for assessing inadequate oxygen delivery and the subsequent risk of ischemic stroke in sickle cell anemia. The BOLD signal in MRI studies relies on Δ χ do , the bulk volume susceptibility difference between fully oxygenated and fully deoxygenated blood. Several studies have measured Δ χ do for normal hemoglobin A (HbA). However, it is not known whether the value is different for sickle hemoglobin. In this study, Δ χ do was measured for both HbA and sickle hemoglobin. METHODS Six sickle cell anemia patients and 6 controls were recruited. Various blood oxygenation levels were achieved through in vivo manipulations to keep the blood close to its natural state. To account for the differences in oxygen affinity, Hill's equations were used to translate partial pressure of oxygen to oxygen saturation for HbA, sickle hemoglobin, and fetal hemoglobin (HbF) separately. The pH and PCO2 corrections were performed. Temperature and magnetic field drift were controlled for. A multivariate generalized linear mixed model with random participant effect was used. RESULTS Assuming that Δ χ do is similar for HbA and HbF and that Δ χ metHb is 5/4 of Δ χ do for HbA, it was found that the Δ χ do values for HbA and sickle hemoglobin were not statistically significantly different from each other. CONCLUSION The same Δ χ do value can be used for both types of hemoglobin in quantitative BOLD analysis.
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Affiliation(s)
- Cihat Eldeniz
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Michael M Binkley
- Department of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Melanie Fields
- Department of Pediatrics, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Kristin Guilliams
- Department of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA.,Department of Pediatrics, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Dustin K Ragan
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Yasheng Chen
- Department of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Jin-Moo Lee
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA.,Department of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA.,Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Andria L Ford
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA.,Department of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Hongyu An
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA.,Department of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA.,Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
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16
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Dixon SM, Binkley MM, Gospe SM, Guerriero RM. Child Neurology Applicants Place Increasing Emphasis on Quality of Life Factors. Pediatr Neurol 2021; 114:42-46. [PMID: 33212334 PMCID: PMC7526654 DOI: 10.1016/j.pediatrneurol.2020.09.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 09/20/2020] [Accepted: 09/23/2020] [Indexed: 11/18/2022]
Abstract
BACKGROUND Medical education, residency training, and the structure of child neurology residency training programs are evolving. We sought to evaluate how training program selection priorities of child neurology residency applicants have changed over time. METHODS An electronic survey was sent to child neurology residents and practicing child neurologists via the Professors of Child Neurology distribution list in the summer of 2018. It was requested that the survey be disseminated to current trainees and alumni of the programs. The survey consisted of seven questions assessing basic demographics and a list of factors applicants consider when choosing a residency. RESULTS There were 284 responses with a higher representation of individuals matriculating into residency in the last decade. More recent medical school graduates had a lower probability of considering curriculum as an important factor for residency selection (odds ratio [OR], 0.746; 95% confidence interval [95% CI], 0.568 to 0.98; P = 0.035) and higher priority placed on interaction with current residents over the course of the interview day (OR, 2.207; 95% CI, 1.486 to 3.278; P < 0.0001), sense of resident happiness and well-being (OR, 2.176; 95% CI, 1.494 to 3.169; P < 0.0001), and perception of city or geography of the residency program (OR, 1.710; 95% CI, 1.272 to 2.298; P < 0.001). CONCLUSIONS Over time, child neurology residency applicants are putting more emphasis on quality of life factors over curriculum. To accommodate these changes, child neurology residency programs should prioritize interactions with residents during the interview process and resident wellness initiatives throughout residency training.
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Affiliation(s)
- Sarah M. Dixon
- Division of Pediatric and Developmental Neurology, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri
| | - Michael M. Binkley
- Division of Pediatric and Developmental Neurology, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri
| | - Sidney M. Gospe
- Department of Neurology, University of Washington, Seattle, Washington,Department of Pediatrics, University of Washington, Seattle, Washington,Department of Pediatrics, Duke University, Durham, North Carolina
| | - Réjean M. Guerriero
- Division of Pediatric and Developmental Neurology, Department of Neurology, Washington University School of Medicine, St. Louis, Missouri,Communications should be addressed to: Dr. Guerriero; Division of Pediatric and Developmental Neurology; Department of Neurology; Washington University School of Medicine; 660 S. Euclid Avenue, Campus Box 8111; St. Louis, MO 63110-1093
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17
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Heitsch L, Ibanez L, Carrera C, Binkley MM, Strbian D, Tatlisumak T, Bustamante A, Ribó M, Molina C, Antoni DA, López-Cancio E, Muñoz-Narbona L, Soriano-Tárraga C, Giralt-Steinhauer E, Obach V, Slowik A, Pera J, Lapicka-Bodzioch K, Derbisz J, Sobrino T, Castillo J, Campos F, Rodríguez-Castro E, Arias-Rivas S, Segura T, Serrano-Heras G, Vives-Bauza C, Díaz-Navarro R, Tur S, Jimenez C, Martí-Fàbregas J, Delgado-Mederos R, Arenillas J, Krupinski J, Cullell N, Torres-Águila NP, Muiño E, Cárcel-Márquez J, Moniche F, Cabezas JA, Ford AL, Dhar R, Roquer J, Khatri P, Jiménez-Conde J, Fernandez-Cadenas I, Montaner J, Rosand J, Cruchaga C, Lee JM. Early Neurological Change After Ischemic Stroke Is Associated With 90-Day Outcome. Stroke 2021; 52:132-141. [PMID: 33317415 PMCID: PMC7769959 DOI: 10.1161/strokeaha.119.028687] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [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: 01/01/2023]
Abstract
BACKGROUND AND PURPOSE Large-scale observational studies of acute ischemic stroke (AIS) promise to reveal mechanisms underlying cerebral ischemia. However, meaningful quantitative phenotypes attainable in large patient populations are needed. We characterize a dynamic metric of AIS instability, defined by change in National Institutes of Health Stroke Scale score (NIHSS) from baseline to 24 hours baseline to 24 hours (NIHSSbaseline - NIHSS24hours = ΔNIHSS6-24h), to examine its relevance to AIS mechanisms and long-term outcomes. METHODS Patients with NIHSS prospectively recorded within 6 hours after onset and then 24 hours later were enrolled in the GENISIS study (Genetics of Early Neurological Instability After Ischemic Stroke). Stepwise linear regression determined variables that independently influenced ΔNIHSS6-24h. In a subcohort of tPA (alteplase)-treated patients with large vessel occlusion, the influence of early sustained recanalization and hemorrhagic transformation on ΔNIHSS6-24h was examined. Finally, the association of ΔNIHSS6-24h with 90-day favorable outcomes (modified Rankin Scale score 0-2) was assessed. Independent analysis was performed using data from the 2 NINDS-tPA stroke trials (National Institute of Neurological Disorders and Stroke rt-PA). RESULTS For 2555 patients with AIS, median baseline NIHSS was 9 (interquartile range, 4-16), and median ΔNIHSS6-24h was 2 (interquartile range, 0-5). In a multivariable model, baseline NIHSS, tPA-treatment, age, glucose, site, and systolic blood pressure independently predicted ΔNIHSS6-24h (R2=0.15). In the large vessel occlusion subcohort, early sustained recanalization and hemorrhagic transformation increased the explained variance (R2=0.27), but much of the variance remained unexplained. ΔNIHSS6-24h had a significant and independent association with 90-day favorable outcome. For the subjects in the 2 NINDS-tPA trials, ΔNIHSS3-24h was similarly associated with 90-day outcomes. CONCLUSIONS The dynamic phenotype, ΔNIHSS6-24h, captures both explained and unexplained mechanisms involved in AIS and is significantly and independently associated with long-term outcomes. Thus, ΔNIHSS6-24h promises to be an easily obtainable and meaningful quantitative phenotype for large-scale genomic studies of AIS.
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Affiliation(s)
- Laura Heitsch
- Division of Emergency Medicine, Washington University School of Medicine, St. Louis, MO
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Laura Ibanez
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Caty Carrera
- Neurovascular Research Laboratory and Neurovascular Unit. Vall d’Hebron Institute of Research (VHIR), Universitat Autonoma de Barcelona, Barcelona, Spain
- Department of Neurology, Hospital Universitari Vall d”Hebron. Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Michael M Binkley
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Daniel Strbian
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Turgut Tatlisumak
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg and Department of Neurology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Alejandro Bustamante
- Neurovascular Research Laboratory and Neurovascular Unit. Vall d’Hebron Institute of Research (VHIR), Universitat Autonoma de Barcelona, Barcelona, Spain
- Department of Neurology, Hospital Universitari Vall d”Hebron. Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Marc Ribó
- Department of Neurology, Hospital Universitari Vall d”Hebron. Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Carlos Molina
- Department of Neurology, Hospital Universitari Vall d”Hebron. Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Dávalos A Antoni
- Department of Neurology, Hospital Universitari Germans Trias I Pujol, Badalona, Spain
| | - Elena López-Cancio
- Department of Neurology, Hospital Universitario Central de Asturias (HUCA), Oviedo, Spain
| | - Lucia Muñoz-Narbona
- Institut Hospital del Mar d’Investigacions Mediques (IMIM), Barcelona, Spain
| | | | - Eva Giralt-Steinhauer
- Institut Hospital del Mar d’Investigacions Mediques (IMIM), Barcelona, Spain
- Department of Neurology, Hospital de Mar, Barcelona, Spain
| | - Victor Obach
- Department of Neuroscience, Hospital Clinic, University of Barcelona and August Pi I SUnyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Agnieszka Slowik
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | - Joanna Pera
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | | | - Justyna Derbisz
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | - Tomás Sobrino
- Clinical Neurosciences Research Laboratory, Health Research Institute of Santiago de Compostela, Hospital Clinico Universitario, Universidade de Santiago de Compostela, Spain
| | - José Castillo
- Clinical Neurosciences Research Laboratory, Health Research Institute of Santiago de Compostela, Hospital Clinico Universitario, Universidade de Santiago de Compostela, Spain
| | - Francisco Campos
- Clinical Neurosciences Research Laboratory, Health Research Institute of Santiago de Compostela, Hospital Clinico Universitario, Universidade de Santiago de Compostela, Spain
| | - Emilio Rodríguez-Castro
- Clinical Neurosciences Research Laboratory, Health Research Institute of Santiago de Compostela, Hospital Clinico Universitario, Universidade de Santiago de Compostela, Spain
| | - Susana Arias-Rivas
- Clinical Neurosciences Research Laboratory, Health Research Institute of Santiago de Compostela, Hospital Clinico Universitario, Universidade de Santiago de Compostela, Spain
| | - Tomás Segura
- Department of Neurology, Hospital Universitario de Albacete, Albacete, Spain
| | - Gemma Serrano-Heras
- Department of Neurology, Hospital Universitario de Albacete, Albacete, Spain
| | - Cristófol Vives-Bauza
- Department of Neurology, Son Espases University Hospital, IdISBa, Palma de Mallorca, Spain
| | - Rosa Díaz-Navarro
- Department of Neurology, Son Espases University Hospital, IdISBa, Palma de Mallorca, Spain
| | - Silva Tur
- Department of Neurology, Son Espases University Hospital, IdISBa, Palma de Mallorca, Spain
| | - Carmen Jimenez
- Department of Neurology, Son Espases University Hospital, IdISBa, Palma de Mallorca, Spain
| | - Joan Martí-Fàbregas
- Department of Neurology, Hospital de la Santa Creu I Sant Pau, Barcelona, Spain
| | | | - Juan Arenillas
- Department of Neurology, Hospital Clinico Universitario de Valladolid, Valladolid, Spain
- Neurovascular research laboratory. Instituto de Biología y Genética Molecular (IBGM). Universidad de Valladolid & Consejo Superior Investigaciones Científicas. Valladolid, Spain
| | - Jerzy Krupinski
- Department of Neurology, Hospital Mutua de Terrassa, Terrassa, Spain
- School of Life Sciences, Centre for Biosciences, Manchester Met University, Manchester, UK
| | - Natalia Cullell
- Stroke Pharmacogenomics and Genetics, Fundacio Docencia I Recerca Mutua de Terrassa, Terassa, Spain
- Stroke Pharmacogenomics and Genetics, Sant Pau Institute of Research, Sant Pau Hospital, Barcelona, Spain
| | - Nuria P Torres-Águila
- Stroke Pharmacogenomics and Genetics, Sant Pau Institute of Research, Sant Pau Hospital, Barcelona, Spain
| | - Elena Muiño
- Stroke Pharmacogenomics and Genetics, Fundacio Docencia I Recerca Mutua de Terrassa, Terassa, Spain
- Stroke Pharmacogenomics and Genetics, Sant Pau Institute of Research, Sant Pau Hospital, Barcelona, Spain
| | - Jara Cárcel-Márquez
- Stroke Pharmacogenomics and Genetics, Fundacio Docencia I Recerca Mutua de Terrassa, Terassa, Spain
- Stroke Pharmacogenomics and Genetics, Sant Pau Institute of Research, Sant Pau Hospital, Barcelona, Spain
| | - Francisco Moniche
- Department of Neurology, Hospital Universitario Virgen del Rocio, Sevilla, Spain
| | - Juan A Cabezas
- Department of Neurology, Hospital Universitario Virgen del Rocio, Sevilla, Spain
| | - Andria L Ford
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Rajat Dhar
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Jaume Roquer
- Institut Hospital del Mar d’Investigacions Mediques (IMIM), Barcelona, Spain
- Department of Neurology, Hospital de Mar, Barcelona, Spain
| | - Pooja Khatri
- Department of Neurology, University of Cincinnati, Cincinnati, OH
| | - Jordi Jiménez-Conde
- Institut Hospital del Mar d’Investigacions Mediques (IMIM), Barcelona, Spain
- Department of Neurology, Hospital de Mar, Barcelona, Spain
| | - Israel Fernandez-Cadenas
- Neurovascular Research Laboratory and Neurovascular Unit. Vall d’Hebron Institute of Research (VHIR), Universitat Autonoma de Barcelona, Barcelona, Spain
- Department of Neurology, Hospital Mutua de Terrassa, Terrassa, Spain
- Stroke Pharmacogenomics and Genetics, Fundacio Docencia I Recerca Mutua de Terrassa, Terassa, Spain
| | - Joan Montaner
- Neurovascular Research Laboratory and Neurovascular Unit. Vall d’Hebron Institute of Research (VHIR), Universitat Autonoma de Barcelona, Barcelona, Spain
- Institute de Biomedicine of Seville, IBiS/Hospital Universitario Virgen del Rocío/CSIC/University of Seville & Department of Neurology, Hospital Universitario Virgen Macarena, Seville
| | - Jonathan Rosand
- Henry and Alison Center for Brain Health, Center for Genomic Medicine, Division of Neurocritical Care and Emergency Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Jin-Moo Lee
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
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18
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Fields ME, Mirro AE, Guilliams KP, Binkley MM, Gil Diaz L, Tan J, Fellah S, Eldeniz C, Chen Y, Ford AL, Shimony JS, King AA, An H, Smyser CD, Lee JM. Functional Connectivity Decreases with Metabolic Stress in Sickle Cell Disease. Ann Neurol 2020; 88:995-1008. [PMID: 32869335 PMCID: PMC7592195 DOI: 10.1002/ana.25891] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [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: 01/16/2020] [Revised: 07/16/2020] [Accepted: 08/22/2020] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Children with sickle cell disease (SCD) experience cognitive deficits even when unaffected by stroke. Using functional connectivity magnetic resonance imaging (MRI) as a potential biomarker of cognitive function, we tested our hypothesis that children with SCD would have decreased functional connectivity, and that children experiencing the greatest metabolic stress, indicated by elevated oxygen extraction fraction, would have the lowest connectivity. METHODS We prospectively obtained brain MRIs and cognitive testing in healthy controls and children with SCD. RESULTS We analyzed data from 60 participants (20 controls and 40 with sickle cell disease). There was no difference in global cognition or cognitive subdomains between cohorts. However, we found decreased functional connectivity within the sensory-motor, lateral sensory-motor, auditory, salience, and subcortical networks in participants with SCD compared with controls. Further, as white matter oxygen extraction fraction increased, connectivity within the visual (p = 0.008, parameter estimate = -0.760 [95% CI = -1.297, -0.224]), default mode (p = 0.012, parameter estimate = -0.417 [95% CI = -0.731, -0.104]), and cingulo-opercular (p = 0.009, parameter estimate = -0.883 [95% CI = -1.517, -0.250]) networks decreased. INTERPRETATION We conclude that there is diminished functional connectivity within these anatomically contiguous networks in children with SCD compared with controls, even when differences are not seen with cognitive testing. Increased white matter oxygen extraction fraction was associated with decreased connectivity in select networks. These data suggest that elevated oxygen extraction fraction and disrupted functional connectivity are potentially presymptomatic neuroimaging biomarkers for cognitive decline in SCD. ANN NEUROL 2020;88:995-1008.
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Affiliation(s)
- Melanie E Fields
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Amy E Mirro
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Kristin P Guilliams
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael M Binkley
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Luisa Gil Diaz
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Jessica Tan
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Slim Fellah
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Cihat Eldeniz
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Yasheng Chen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Andria L Ford
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Allison A King
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
- Program of Occupational Therapy, Washington University School of Medicine, St. Louis, MO, USA
| | - Hongyu An
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Christopher D Smyser
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Jin-Moo Lee
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, MO, USA
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19
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Abstract
Bioconjugates are important next-generation drugs and imaging agents. Assembly of these increasingly complex constructs requires precise control over processing conditions, which is a challenge for conventional manual synthesis. This inadequacy has motivated the pursuit of new approaches for efficient, controlled modification of high-molecular-weight biologics such as proteins, carbohydrates, and nucleic acids. We report a novel, hands-free, semiautomated platform for synthetic manipulation of biomolecules using acoustically responsive microparticles as three-dimensional reaction substrates. The microfluidic reactor incorporates a longitudinal acoustic trap that controls the chemical reactions within a localized acoustic field. Forces generated by this field immobilize the microscale substrates against the continuous flow of participating chemical reagents. Thus, the motion of substrates and reactants is decoupled, enabling exquisite control over multistep reaction conditions and providing high-yield, high-purity products with minimal user input. We demonstrate these capabilities by conjugating clinically relevant antibodies with a small molecule. The on-bead synthesis comprises capture of the antibody, coupling of a fluorescent tag, product purification, and product release. Successful capture and modification of a fluorescently labeled antibody are confirmed via fold increases of 49 and 11 in the green (antibody)- and red (small-molecule dye)-channel median intensities determined using flow cytometry. Antibody conjugates assembled on acoustically responsive, ultrasound-confined microparticles exhibit similar quality and quantity to those prepared manually by a skilled technician.
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Affiliation(s)
- Michael M Binkley
- Washington University in St. Louis, 1 Brookings Drive, Jubel Hall, Room 203K, St. Louis, Missouri 63130, United States
| | - Mingyang Cui
- Washington University in St. Louis, 1 Brookings Drive, Jubel Hall, Room 203K, St. Louis, Missouri 63130, United States
| | - Mikhail Y Berezin
- Washington University in St. Louis, 1 Brookings Drive, Jubel Hall, Room 203K, St. Louis, Missouri 63130, United States
| | - J Mark Meacham
- Washington University in St. Louis, 1 Brookings Drive, Jubel Hall, Room 203K, St. Louis, Missouri 63130, United States
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20
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Ford AL, Chin VW, Fellah S, Binkley MM, Bodin AM, Balasetti V, Taiwo Y, Kang P, Lin D, Jen JC, Grand MG, Bogacki M, Liszewski MK, Hourcade D, Chen Y, Hassenstab J, Lee JM, An H, Miner JJ, Atkinson JP. Lesion evolution and neurodegeneration in RVCL-S: A monogenic microvasculopathy. Neurology 2020; 95:e1918-e1931. [PMID: 32887784 PMCID: PMC7682842 DOI: 10.1212/wnl.0000000000010659] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [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: 10/10/2019] [Accepted: 04/10/2020] [Indexed: 12/17/2022] Open
Abstract
Objective To characterize lesion evolution and neurodegeneration in retinal vasculopathy with cerebral leukoencephalopathy and systemic manifestations (RVCL-S) using multimodal MRI. Methods We prospectively performed MRI and cognitive testing in RVCL-S and healthy control cohorts. Gray and white matter volume and disruption of white matter microstructure were quantified. Asymmetric spin echo acquisition permitted voxel-wise oxygen extraction fraction (OEF) calculation as an in vivo marker of microvascular ischemia. The RVCL-S cohort was included in a longitudinal analysis of lesion subtypes in which hyperintense lesions on fluid-attenuated inversion recovery (FLAIR), T1-postgadolinium, and diffusion-weighted imaging were delineated and quantified volumetrically. Results Twenty individuals with RVCL-S and 26 controls were enrolled. White matter volume and microstructure declined faster in those with RVCL–S compared to controls. White matter atrophy in RVCL-S was highly linear (ρ = −0.908, p < 0.0001). Normalized OEF was elevated in RVCL-S and increased with disease duration. Multiple cognitive domains, specifically those measuring working memory and processing speed, were impaired in RVCL-S. Lesion volumes, regardless of subtype, progressed/regressed with high variability as a function of age, while FLAIR lesion burden increased near time to death (p < 0.001). Conclusion RVCL-S is a monogenic microvasculopathy affecting predominantly the white matter with regard to atrophy and cognitive impairment. White matter volumes in RVCL-S declined linearly, providing a potential metric against which to test the efficacy of future therapies. Progressive elevation of white matter OEF suggests that microvascular ischemia may underlie neurodegeneration in RVCL-S.
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Affiliation(s)
- Andria L Ford
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY.
| | - Victoria W Chin
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Slim Fellah
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Michael M Binkley
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Allie M Bodin
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Vamshi Balasetti
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Yewande Taiwo
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Peter Kang
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Doris Lin
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Joanna C Jen
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - M Gilbert Grand
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Madonna Bogacki
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - M Kathryn Liszewski
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Dennis Hourcade
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Yasheng Chen
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jason Hassenstab
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jin-Moo Lee
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Hongyu An
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jonathan J Miner
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - John P Atkinson
- From the Department of Neurology (A.L.F., V.W.C., S.F., M.B.M., A.M.B., V.B., Y.T., P.K., Y.C., J.H., J.-M.L.), Mallinckrodt Institute of Radiology (A.L.F., J.-M.L., H.A.), Department of Ophthalmology (M.G.G.), and Department of Medicine (M.B., M.K.L., D.H., J.J.M., J.P.A.), Division of Rheumatology, Washington University School of Medicine, St. Louis, MO; Department of Radiology (D.L.), The Johns Hopkins University School of Medicine, Baltimore, MD; and Department of Neurology (J.C.J.), Icahn School of Medicine at Mount Sinai, New York, NY
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21
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Seiler KM, Bajinting A, Alvarado DM, Traore MA, Binkley MM, Goo WH, Lanik WE, Ou J, Ismail U, Iticovici M, King CR, VanDussen KL, Swietlicki EA, Gazit V, Guo J, Luke CJ, Stappenbeck T, Ciorba MA, George SC, Meacham JM, Rubin DC, Good M, Warner BW. Patient-derived small intestinal myofibroblasts direct perfused, physiologically responsive capillary development in a microfluidic Gut-on-a-Chip Model. Sci Rep 2020; 10:3842. [PMID: 32123209 PMCID: PMC7051952 DOI: 10.1038/s41598-020-60672-5] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 02/13/2020] [Indexed: 02/07/2023] Open
Abstract
The development and physiologic role of small intestine (SI) vasculature is poorly studied. This is partly due to a lack of targetable, organ-specific markers for in vivo studies of two critical tissue components: endothelium and stroma. This challenge is exacerbated by limitations of traditional cell culture techniques, which fail to recapitulate mechanobiologic stimuli known to affect vessel development. Here, we construct and characterize a 3D in vitro microfluidic model that supports the growth of patient-derived intestinal subepithelial myofibroblasts (ISEMFs) and endothelial cells (ECs) into perfused capillary networks. We report how ISEMF and EC-derived vasculature responds to physiologic parameters such as oxygen tension, cell density, growth factors, and pharmacotherapy with an antineoplastic agent (Erlotinib). Finally, we demonstrate effects of ISEMF and EC co-culture on patient-derived human intestinal epithelial cells (HIECs), and incorporate perfused vasculature into a gut-on-a-chip (GOC) model that includes HIECs. Overall, we demonstrate that ISEMFs possess angiogenic properties as evidenced by their ability to reliably, reproducibly, and quantifiably facilitate development of perfused vasculature in a microfluidic system. We furthermore demonstrate the feasibility of including perfused vasculature, including ISEMFs, as critical components of a novel, patient-derived, GOC system with translational relevance as a platform for precision and personalized medicine research.
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Grants
- R01 DK106382 NIDDK NIH HHS
- T32 DK007130 NIDDK NIH HHS
- R01 DK104698 NIDDK NIH HHS
- R01 DK114047 NIDDK NIH HHS
- R03 DK111473 NIDDK NIH HHS
- R01 DK109384 NIDDK NIH HHS
- R01 DK118568 NIDDK NIH HHS
- R01 DK112378 NIDDK NIH HHS
- K08 DK101608 NIDDK NIH HHS
- P30 DK052574 NIDDK NIH HHS
- T32 HD043010 NICHD NIH HHS
- K01 DK109081 NIDDK NIH HHS
- Association for Academic Surgery Foundation (AASF)
- Children’s Discovery Institute of Washington University in St. Louis and St. Louis Children’s Hospital MI-F-2017-629; National Institutes of Health 4T32HD043010-14
- National Institutes of Health 3T32DK007130-45S1
- Givin’ it all for Guts Foundation (https://givinitallforguts.org/), Lawrence C. Pakula MD IBD Research, Innovation, and Education Fund, National Institutes of Health R01DK109384
- National Institutes of Health R03DK111473, R01DK118568, and K08DK101608, Children’s Discovery Institute of Washington University in St. Louis and St. Louis Children’s Hospital MI-FR-2017-596, March of Dimes Foundation Grant No. 5-FY17-79, Department of Pediatrics at Washington University School of Medicine, St. Louis
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Affiliation(s)
- Kristen M Seiler
- Division of Pediatric Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Adam Bajinting
- Division of Pediatric Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, United States
- Saint Louis University School of Medicine, St. Louis, Missouri, United States
| | - David M Alvarado
- Division of Gastroenterology and the Inflammatory Bowel Diseases Center, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Mahama A Traore
- Department of Biomedical Engineering, Washington University, St. Louis, Missouri, United States
| | - Michael M Binkley
- Department of Mechanical Engineering & Materials Science, Washington University McKelvey School of Engineering, St. Louis, MO, United States
| | - William H Goo
- Washington University, St. Louis, Missouri, United States
| | - Wyatt E Lanik
- Division of Newborn Medicine, Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Jocelyn Ou
- Division of Newborn Medicine, Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Usama Ismail
- Department of Mechanical Engineering & Materials Science, Washington University McKelvey School of Engineering, St. Louis, MO, United States
| | - Micah Iticovici
- Division of Gastroenterology and the Inflammatory Bowel Diseases Center, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Cristi R King
- Division of Pediatric Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Kelli L VanDussen
- Division of Pediatric Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, Cincinnati Children's Hospital Medical Center and the University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Elzbieta A Swietlicki
- Division of Gastroenterology and the Inflammatory Bowel Diseases Center, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Vered Gazit
- Division of Gastroenterology and the Inflammatory Bowel Diseases Center, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Jun Guo
- Division of Pediatric Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Cliff J Luke
- Division of Newborn Medicine, Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Thaddeus Stappenbeck
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Matthew A Ciorba
- Division of Gastroenterology and the Inflammatory Bowel Diseases Center, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Steven C George
- Department of Biomedical Engineering, University of California, Davis, California, United States
| | - J Mark Meacham
- Department of Mechanical Engineering & Materials Science, Washington University McKelvey School of Engineering, St. Louis, MO, United States
| | - Deborah C Rubin
- Division of Gastroenterology and the Inflammatory Bowel Diseases Center, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Misty Good
- Division of Newborn Medicine, Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Brad W Warner
- Division of Pediatric Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, United States.
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22
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Binkley MM, Cui M, Li W, Tan S, Berezin MY, Meacham JM. Design, modeling, and experimental validation of an acoustofluidic platform for nanoscale molecular synthesis and detection. Phys Fluids (1994) 2019; 31:082007. [PMID: 31462888 PMCID: PMC6711656 DOI: 10.1063/1.5100149] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 07/28/2019] [Indexed: 05/30/2023]
Abstract
Microfluidic technologies are increasingly implemented to replace manual methods in biological and biochemical sample processing. We explore the feasibility of an acoustofluidic trap for confinement of microparticle reaction substrates against continuously flowing reagents in chemical synthesis and detection applications. Computational models are used to predict the flow and ultrasonic standing wave fields within two longitudinal standing bulk acoustic wave (LSBAW) microchannels operated in the 0.5-2.0 MHz range. Glass (gLSBAW) and silicon (siLSBAW) pillar arrays comprise trapping structures that augment the local acoustic field, while openings between pillars evenly distribute the flow for uniform exposure of substrates to reagents. Frequency spectra (acoustic energy density E ac vs frequency) and model-predicted pressure fields are used to identify longitudinal resonances with pressure minima in bands oriented perpendicular to the inflow direction. Polymeric and glass particles (10- and 20-µm diameter polystyrene beads, 6 µm hollow glass spheres, and 5 µm porous silica microparticles) are confined within acoustic traps operated at longitudinal first and second half-wavelength resonant frequencies (f 1,E = 575 kHz, gLSBAW; f 1,E = 666 kHz; and f 2,E = 1.278 MHz, siLSBAW) as reagents are introduced at 5-10 µl min-1. Anisotropic silicon etched traps are found to improve augmentation of the acoustic pressure field without reducing the volumetric throughput. Finally, in-channel synthesis of a double-labeled antibody conjugate on ultrasound-confined porous silica microparticles demonstrates the feasibility of the LSBAW platform for synthesis and detection. The results provide a computational and experimental framework for continued advancement of the LSBAW platform for other synthetic processes and molecular detection applications.
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Affiliation(s)
- M M Binkley
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, Missouri 63130, USA
| | - M Cui
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, Missouri 63130, USA
| | - W Li
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, Missouri 63130, USA
| | - S Tan
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, Missouri 63130, USA
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23
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Guzman MS, Rengasamy K, Binkley MM, Jones C, Ranaivoarisoa TO, Singh R, Fike DA, Meacham JM, Bose A. Phototrophic extracellular electron uptake is linked to carbon dioxide fixation in the bacterium Rhodopseudomonas palustris. Nat Commun 2019; 10:1355. [PMID: 30902976 PMCID: PMC6430793 DOI: 10.1038/s41467-019-09377-6] [Citation(s) in RCA: 73] [Impact Index Per Article: 14.6] [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: 10/23/2018] [Accepted: 03/07/2019] [Indexed: 01/06/2023] Open
Abstract
Extracellular electron uptake (EEU) is the ability of microbes to take up electrons from solid-phase conductive substances such as metal oxides. EEU is performed by prevalent phototrophic bacterial genera, but the electron transfer pathways and the physiological electron sinks are poorly understood. Here we show that electrons enter the photosynthetic electron transport chain during EEU in the phototrophic bacterium Rhodopseudomonas palustris TIE-1. Cathodic electron flow is also correlated with a highly reducing intracellular redox environment. We show that reducing equivalents are used for carbon dioxide (CO2) fixation, which is the primary electron sink. Deletion of the genes encoding ruBisCO (the CO2-fixing enzyme of the Calvin-Benson-Bassham cycle) leads to a 90% reduction in EEU. This work shows that phototrophs can directly use solid-phase conductive substances for electron transfer, energy transduction, and CO2 fixation. Extracellular electron uptake (EEU) is the ability of microbes to take up electrons from solid-phase conductive substances such as metal oxides. Here, Guzman et al. show that electrons enter the photosynthetic electron transport chain and are used for CO2 fixation during EEU in a phototrophic bacterium.
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Affiliation(s)
- Michael S Guzman
- Department of Biology, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Karthikeyan Rengasamy
- Department of Biology, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Michael M Binkley
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Clive Jones
- Department of Earth and Planetary Sciences, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | | | - Rajesh Singh
- Department of Biology, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - David A Fike
- Department of Earth and Planetary Sciences, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - J Mark Meacham
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO, 63130, USA.,Institute of Materials Science Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Arpita Bose
- Department of Biology, Washington University in St. Louis, St. Louis, MO, 63130, USA.
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24
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Guilliams KP, Fields ME, Fellah S, Binkley MM, Ragan DK, Hulbert ML, Blinder M, Vo K, Chen Y, Shimony JS, McKinstry RC, An H, Lee JM, Ford AL. Abstract 51: Aging and Metabolic Stress Are Associated With Disrupted White Matter Integrity in Children and Young Adults With Sickle Cell Disease. Stroke 2019. [DOI: 10.1161/str.50.suppl_1.51] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Silent cerebral infarcts (SCIs) in sickle cell disease (SCD) begin in early childhood and increase with age, affecting 50% by age 30. SCIs often occur in the watershed area, where cerebral blood flow (CBF) is low, and oxygen extraction fraction (OEF) is high. Diffusion tensor imaging (DTI) measures white matter integrity; lower fractional anisotropy (FA) and higher mean diffusivity (MD) may precede the appearance of SCIs. We hypothesized that age and oxygen metabolic stress, defined by elevated watershed OEF, are associated with disruption of white matter integrity as measured by FA and MD.
Methods:
Children and young adults with and without SCD were recruited for brain MRI (T1, FLAIR, pseudocontinuous arterial spin label (CBF), asymmetric spin echo (OEF) and DTI). We averaged CBF maps of non-SCD participants and created a watershed region of interest (ROI), defined as CBF <30% of mean gray matter CBF, which was applied to individual maps. All SCIs were outlined and excluded. We evaluated age and SCD as predictors of FA and MD. Within the watershed ROI, we evaluated OEF and age as predictors of FA and MD.
Results:
Fifty SCD and 53 control participants, age 6-39 years, underwent MRI. Within all normal appearing white matter, FA decreased (p<0.001) and MD increased (p<0.001) with advancing age. MD, but not FA, changed at a faster rate with advancing age in SCD compared to controls (p=0.02). Within the watershed region, OEF significantly predicted FA (p=0.002) and MD (p <0.001), after adjusting for age.
Conclusion:
Disruption of white matter integrity worsens with early life aging, particularly in SCD. Oxygen metabolic stress within the watershed region, a region at high risk for SCIs, is associated with lower FA and higher MD, suggesting OEF may provide an early tissue marker of ischemic vulnerability in SCD, prior to developing SCIs.
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Affiliation(s)
| | | | - Slim Fellah
- Washington Univ in St Louis, Saint Louis, MO
| | | | | | | | | | - Katie Vo
- Washington Univ in St Louis, Saint Louis, MO
| | | | | | | | - Hongyu An
- Washington Univ in St Louis, Saint Louis, MO
| | - Jin-Moo Lee
- Washington Univ in St Louis, Saint Louis, MO
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25
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Ford AL, Ragan DK, Fellah S, Binkley MM, Fields ME, Guilliams KP, An H, Jordan LC, McKinstry RC, Lee JM, DeBaun MR. Silent infarcts in sickle cell disease occur in the border zone region and are associated with low cerebral blood flow. Blood 2018; 132:1714-1723. [PMID: 30061156 PMCID: PMC6194388 DOI: 10.1182/blood-2018-04-841247] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [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: 04/08/2018] [Accepted: 07/17/2018] [Indexed: 11/20/2022] Open
Abstract
Silent cerebral infarcts (SCIs) are associated with cognitive impairment in sickle cell anemia (SCA). SCI risk factors include low hemoglobin and elevated systolic blood pressure; however, mechanisms underlying their development are unclear. Using the largest prospective study evaluating SCIs in pediatric SCA, we identified brain regions with increased SCI density. We tested the hypothesis that infarct density is greatest within regions in which cerebral blood flow is lowest, further restricting cerebral oxygen delivery in the setting of chronic anemia. Neuroradiology and neurology committees reached a consensus of SCIs in 286 children in the Silent Infarct Transfusion (SIT) Trial. Each infarct was outlined and coregistered to a brain atlas to create an infarct density map. To evaluate cerebral blood flow as a function of infarct density, pseudocontinuous arterial spin labeling was performed in an independent pediatric SCA cohort. Blood flow maps were aligned to the SIT Trial infarct density map. Mean blood flow within low, moderate, and high infarct density regions from the SIT Trial were compared. Logistic regression evaluated clinical and imaging predictors of overt stroke at 3-year follow-up. The SIT Trial infarct density map revealed increased SCI density in the deep white matter of the frontal and parietal lobes. A relatively small region, measuring 5.6% of brain volume, encompassed SCIs from 90% of children. Cerebral blood flow was lowest in the region of highest infarct density (P < .001). Baseline infarct volume and reticulocyte count predicted overt stroke. In pediatric SCA, SCIs are symmetrically located in the deep white matter where minimum cerebral blood flow occurs.
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Affiliation(s)
| | | | | | | | | | | | - Hongyu An
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
| | - Lori C Jordan
- Department of Pediatrics, Vanderbilt University, Nashville, TN
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
| | - Jin-Moo Lee
- Department of Neurology
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
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26
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Ledbetter AD, Shekhani HN, Binkley MM, Meacham JM. Tuning the Coupled-Domain Response for Efficient Ultrasonic Droplet Generation. IEEE Trans Ultrason Ferroelectr Freq Control 2018; 65:1893-1904. [PMID: 30047875 DOI: 10.1109/tuffc.2018.2859195] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Acoustic microfluidic devices encompass mechanical, fluidic, and electromechanical domains. Complicated multidomain interactions require the consideration of each individual material domain, as well as coupled behaviors to achieve optimal performance. Herein, we report the co-optimization of components comprising an ultrasonic droplet generator to achieve the high-efficiency liquid atomization for operation in the 0.5-2.5-MHz frequency range. Due to the complexity of the real system, simplified 2-D representations of the device are investigated using an experimentally validated finite element analysis model. Ejection modes (i.e., frequencies at which droplet generation is predicted) are distinguished by maxima in the local pressure at the tips of an array of triangular nozzles. Resonance behaviors of the transducer assembly and fluid-filled chamber are examined to establish optimal geometric combinations concerning the chamber pressure field. The analysis identifies how domain geometries affect pressure field uniformity, broadband operation, and tip pressure amplitude. Lower frequency modes are found to focus the acoustic energy at the expense of field uniformity within the nozzle array. Resonance matching yields a nearly threefold increase in maximum attainable tip pressure amplitude. Significantly, we establish a set of design principles for these complex devices, which resembles a classical half-wave transducer, quarter-wave matching layer, and half-wave chamber layered system.
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27
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Cui M, Binkley MM, Shekhani HN, Berezin MY, Meacham JM. Augmented longitudinal acoustic trap for scalable microparticle enrichment. Biomicrofluidics 2018; 12:034110. [PMID: 29937950 PMCID: PMC5991967 DOI: 10.1063/1.5036923] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Accepted: 05/30/2018] [Indexed: 05/06/2023]
Abstract
We introduce an acoustic microfluidic device architecture that locally augments the pressure field for separation and enrichment of targeted microparticles in a longitudinal acoustic trap. Pairs of pillar arrays comprise "pseudo walls" that are oriented perpendicular to the inflow direction. Though sample flow is unimpeded, pillar arrays support half-wave resonances that correspond to the array gap width. Positive acoustic contrast particles of supracritical diameter focus to nodal locations of the acoustic field and are held against drag from the bulk fluid motion. Thus, the longitudinal standing bulk acoustic wave (LSBAW) device achieves size-selective and material-specific separation and enrichment of microparticles from a continuous sample flow. A finite element analysis model is used to predict eigenfrequencies of LSBAW architectures with two pillar geometries, slanted and lamellar. Corresponding pressure fields are used to identify longitudinal resonances that are suitable for microparticle enrichment. Optimal operating conditions exhibit maxima in the ratio of acoustic energy density in the LSBAW trap to that in inlet and outlet regions of the microchannel. Model results guide fabrication and experimental evaluation of realized LSBAW assemblies regarding enrichment capability. We demonstrate separation and isolation of 20 μm polystyrene and ∼10 μm antibody-decorated glass beads within both pillar geometries. The results also establish several practical attributes of our approach. The LSBAW device is inherently scalable and enables continuous enrichment at a prescribed location. These features benefit separations applications while also allowing concurrent observation and analysis of trap contents.
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Affiliation(s)
- M Cui
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, Missouri 63130, USA
| | - M M Binkley
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, Missouri 63130, USA
| | - H N Shekhani
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, Missouri 63130, USA
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28
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Fields ME, Guilliams KP, Ragan DK, Binkley MM, Eldeniz C, Chen Y, Hulbert ML, McKinstry RC, Shimony JS, Vo KD, Doctor A, An H, Ford AL, Lee JM. Regional oxygen extraction predicts border zone vulnerability to stroke in sickle cell disease. Neurology 2018; 90:e1134-e1142. [PMID: 29500287 PMCID: PMC5880632 DOI: 10.1212/wnl.0000000000005194] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [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: 03/23/2017] [Accepted: 12/05/2017] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To determine mechanisms underlying regional vulnerability to infarction in sickle cell disease (SCD) by measuring voxel-wise cerebral blood flow (CBF), oxygen extraction fraction (OEF), and cerebral metabolic rate of oxygen utilization (CMRO2) in children with SCD. METHODS Participants underwent brain MRIs to measure voxel-based CBF, OEF, and CMRO2. An infarct heat map was created from an independent pediatric SCD cohort with silent infarcts and compared to prospectively obtained OEF maps. RESULTS Fifty-six participants, 36 children with SCD and 20 controls, completed the study evaluation. Whole-brain CBF (99.2 vs 66.3 mL/100 g/min, p < 0.001), OEF (42.7% vs 28.8%, p < 0.001), and CMRO2 (3.7 vs 2.5 mL/100 g/min, p < 0.001) were higher in the SCD cohort compared to controls. A region of peak OEF was identified in the deep white matter in the SCD cohort, delineated by a ratio map of average SCD to control OEF voxels. CMRO2 in this region, which encompassed the CBF nadir, was low relative to all white matter (p < 0.001). Furthermore, this peak OEF region colocalized with regions of greatest infarct density derived from an independent SCD cohort. CONCLUSIONS Elevated OEF in the deep white matter identifies a signature of metabolically stressed brain tissue at increased stroke risk in pediatric patients with SCD. We propose that border zone physiology, exacerbated by chronic anemic hypoxia, explains the high risk in this region.
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Affiliation(s)
- Melanie E Fields
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Kristin P Guilliams
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Dustin K Ragan
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Michael M Binkley
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Cihat Eldeniz
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Yasheng Chen
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Monica L Hulbert
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Robert C McKinstry
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Joshua S Shimony
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Katie D Vo
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Allan Doctor
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Hongyu An
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Andria L Ford
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO
| | - Jin-Moo Lee
- From the Division of Pediatric Hematology/Oncology (M.E.F., M.L.H.), Division of Pediatric Neurology (K.P.G.), Division of Pediatric Critical Care Medicine (K.P.G., A.D.), Department of Neurology (D.K.R., Y.C., A.L.F., J.-M.L.), and Mallinckrodt Institute of Radiology (C.E., R.C.M., J.S.S., K.D.V., H.A., J.-M.L.), Washington University School of Medicine; and Department of Biomedical Engineering (M.B.M., J.-M.L.), Washington University, St. Louis, MO.
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Guilliams KP, Fields ME, Ragan DK, Eldeniz C, Binkley MM, Chen Y, Comiskey LS, Doctor A, Hulbert ML, Shimony JS, Vo KD, McKinstry RC, An H, Lee JM, Ford AL. Red cell exchange transfusions lower cerebral blood flow and oxygen extraction fraction in pediatric sickle cell anemia. Blood 2018; 131:1012-1021. [PMID: 29255068 PMCID: PMC5833262 DOI: 10.1182/blood-2017-06-789842] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [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: 06/16/2017] [Accepted: 12/04/2017] [Indexed: 01/13/2023] Open
Abstract
Blood transfusions are the mainstay of stroke prevention in pediatric sickle cell anemia (SCA), but the physiology conferring this benefit is unclear. Cerebral blood flow (CBF) and oxygen extraction fraction (OEF) are elevated in SCA, likely compensating for reduced arterial oxygen content (CaO2). We hypothesized that exchange transfusions would decrease CBF and OEF by increasing CaO2, thereby relieving cerebral oxygen metabolic stress. Twenty-one children with SCA receiving chronic transfusion therapy (CTT) underwent magnetic resonance imaging before and after exchange transfusions. Arterial spin labeling and asymmetric spin echo sequences measured CBF and OEF, respectively, which were compared pre- and posttransfusion. Volumes of tissue with OEF above successive thresholds (36%, 38%, and 40%), as a metric of regional metabolic stress, were compared pre- and posttransfusion. Transfusions increased hemoglobin (Hb; from 9.1 to 10.3 g/dL; P < .001) and decreased Hb S (from 39.7% to 24.3%; P < .001). Transfusions reduced CBF (from 88 to 82.4 mL/100 g per minute; P = .004) and OEF (from 34.4% to 31.2%; P < .001). At all thresholds, transfusions reduced the volume of peak OEF found in the deep white matter, a location at high infarct risk in SCA (P < .001). Reduction of elevated CBF and OEF, both globally and regionally, suggests that CTT mitigates infarct risk in pediatric SCA by relieving cerebral metabolic stress at patient- and tissue-specific levels.
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Affiliation(s)
| | | | | | - Cihat Eldeniz
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
| | - Michael M Binkley
- Department of Mechanical Engineering and Material Science, Washington University in St. Louis, St. Louis, MO
| | | | | | | | | | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
| | - Katie D Vo
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
| | - Hongyu An
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
| | - Jin-Moo Lee
- Department of Neurology
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO; and
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30
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Woods D, Hayashi RJ, Binkley MM, Sparks GW, Hulbert ML. Increased complications of chronic erythrocytapheresis compared with manual exchange transfusions in children and adolescents with sickle cell disease. Pediatr Blood Cancer 2017; 64. [PMID: 28544309 DOI: 10.1002/pbc.26635] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [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: 11/28/2016] [Revised: 03/30/2017] [Accepted: 04/14/2017] [Indexed: 11/09/2022]
Abstract
BACKGROUND Children and adolescents with sickle cell disease (SCD) are at high risk of strokes and are frequently treated with red blood cell (RBC) transfusions. The goal is to suppress hemoglobin (Hb) S while minimizing transfusion-induced iron overload. RBCs may be given via simple transfusion, manual exchange transfusion (MET), or erythrocytapheresis (aRBCX). Chronic transfusion practices vary among institutions. METHODS This single-institution, retrospective cohort study compares Hb S control and therapy complication rates between MET and aRBCX in a cohort of children and adolescents with SCD and stroke during a 5-year period from 2008 through 2012. Duration and mode of transfusion therapy, achievement of Hb S suppression goal, iron burden by ferritin levels, and catheter complications were evaluated. RESULTS Thirty-seven children were included in analysis. The prevalence of catheter complications was 75% in aRBCX recipients compared with 0% in MET recipients (P < 0.001). There was no significant difference between modalities in achieving Hb S suppression or ferritin goals, but those receiving aRBCX had a greater likelihood of discontinuing chelation therapy. Among aRBCX recipients, adherence to >90% of transfusion appointments was associated with achieving Hb S suppression goals. CONCLUSION aRBCX may have increased complication risks compared with MET for chronic transfusion therapy in SCD. Risks and benefits of aRBCX and MET should be considered when selecting a chronic transfusion modality. Transfusion therapy modalities should be compared in prospective studies for stroke prevention in children with SCD.
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Affiliation(s)
- Deborah Woods
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri
| | - Robert J Hayashi
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri
| | - Michael M Binkley
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri
| | | | - Monica L Hulbert
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri
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31
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Guilliams KP, Fields ME, Ragan DK, Chen Y, Eldeniz C, Hulbert ML, Binkley MM, Rhodes JN, Shimony JS, McKinstry RC, Vo K, An H, Lee JM, Ford AL. Large-Vessel Vasculopathy in Children With Sickle Cell Disease: A Magnetic Resonance Imaging Study of Infarct Topography and Focal Atrophy. Pediatr Neurol 2017; 69:49-57. [PMID: 28159432 PMCID: PMC5365370 DOI: 10.1016/j.pediatrneurol.2016.11.005] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [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: 09/29/2016] [Revised: 11/16/2016] [Accepted: 11/24/2016] [Indexed: 10/20/2022]
Abstract
BACKGROUND Large-vessel vasculopathy (LVV) increases stroke risk in pediatric sickle cell disease beyond the baseline elevated stroke risk in this vulnerable population. The mechanisms underlying this added risk and its unique impact on the developing brain are not established. METHODS We analyzed magnetic resonance imaging and angiography scans of 66 children with sickle cell disease and infarcts by infarct density heatmaps and Jacobian determinants, a metric utilized to delineate focal volume change, to investigate if infarct location, volume, frequency, and cerebral atrophy differed among hemispheres with and without LVV. RESULTS Infarct density heatmaps demonstrated infarct "hot spots" within the deep white matter internal border zone region in both LVV and non-LVV hemispheres, but with greater infarct density and larger infarct volumes in LVV hemispheres (2.2 mL versus 0.25 mL, P < 0.001). Additional scattered cortical infarcts in the internal carotid artery territory occurred in LVV hemispheres, but were rare in non-LVV hemispheres. Jacobian determinants revealed greater atrophy in gray and white matter of the parietal lobes of LVV compared with non-LVV hemispheres. CONCLUSION Large-vessel vasculopathy in sickle cell disease appears to increase ischemic vulnerability in the borderzone region, as demonstrated by the increased frequency and extent of infarction within deep white matter, and increased risk of focal atrophy. Scattered infarctions across the LVV-affected hemispheres suggest additional stroke etiologies of vasculopathy (i.e., thromboembolism) in addition to chronic hypoxia-ischemia.
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Affiliation(s)
- Kristin P Guilliams
- Department of Neurology, Washington University School of Medicine,Department of Pediatrics, Washington University School of Medicine
| | - Melanie E Fields
- Department of Pediatrics, Washington University School of Medicine
| | - Dustin K Ragan
- Department of Neurology, Washington University School of Medicine
| | - Yasheng Chen
- Department of Neurology, Washington University School of Medicine
| | - Cihat Eldeniz
- Department of Radiology, Washington University School of Medicine
| | - Monica L Hulbert
- Department of Pediatrics, Washington University School of Medicine
| | | | | | - Joshua S Shimony
- Department of Pediatrics, Washington University School of Medicine,Department of Radiology, Washington University School of Medicine
| | - Robert C McKinstry
- Department of Pediatrics, Washington University School of Medicine,Department of Radiology, Washington University School of Medicine
| | - Katie Vo
- Department of Radiology, Washington University School of Medicine
| | - Hongyu An
- Department of Radiology, Washington University School of Medicine
| | - Jin-Moo Lee
- Department of Neurology, Washington University School of Medicine, Saint Louis, Missouri; Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri.
| | - Andria L Ford
- Department of Neurology, Washington University School of Medicine, Saint Louis, Missouri.
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Guilliams KP, Fields ME, Binkley MM, Ragan DK, Eldeniz C, Chen Y, Hulbert ML, An H, Ford AL, Lee JM. Abstract 171: Cerebral Blood Flow and Oxygen Extraction Fraction are Age-dependent in Children and Young Adults with and without Sickle Cell Disease. Stroke 2017. [DOI: 10.1161/str.48.suppl_1.171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Children with sickle cell disease (SCD) are a high risk population for pediatric stroke. Young children with SCD have a higher stroke incidence than older children. Cerebral oxygen metabolism, the product of CBF, OEF and arterial oxygen content (CaO
2
, [oxygen saturation (SpO
2
) x hemoglobin (Hb) x 1.36]) is age-dependent in healthy children, peaking at 5-9 years of age. CBF is age-dependent, but OEF variation across childhood is not well-studied. In non-SCD adults, elevated OEF confers higher stroke risk. Children with SCD have higher CBF and OEF than healthy controls, but also have lower CaO
2
. It is unknown if age independently influences CBF and OEF. We hypothesized that age, sex and CaO
2
influence components of cerebral oxygen metabolism, as measured by MRI.
Methods:
Subjects with SCD and sibling/relative controls without SCD underwent brain MRI with measurement of CBF and OEF by pseudocontinuous arterial spin labeling and asymmetric spin echo sequences, respectively. Blood samples were obtained for Hb and hematocrit values. A fast inversion recovery sequence measured T1 values in the superior sagittal sinus. A multiple regression model determined significant factors influencing CBF and OEF (age, sex, CaO
2
).
Results:
We scanned 25 subjects without SCD (ages 6-27) and 56 subjects with SCD (ages 5-28). In multiple regression analysis, age (p=0.0009) and CaO
2
(p < 0.0001) were significantly predictive of CBF, controlling for sex. Age (p=0.027) and CaO
2
(p<0.0001), were also significantly predictive of OEF, controlling for sex.
Conclusion:
Age is an independent predictor of CBF and OEF. Younger children have higher CBF and OEF, even after controlling for the lower CaO
2
associated with SCD. This may explain the increased stroke incidence in young children with SCD.
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Affiliation(s)
- Kristin P Guilliams
- Pediatric Critical Care & Neurology, Washington Univ in St. Louis, St. Louis, MO
| | - Melanie E Fields
- Pediatric Hematology, Washington Univ in St. Louis, St. Louis, MO
| | | | | | - Cihat Eldeniz
- Radiology, Washington Univ in St. Louis, St. Louis, MO
| | - Yasheng Chen
- Neurology, Washington Univ in St. Louis, St. Louis, MO
| | - Monica L Hulbert
- Pediatric Hematology, Washington Univ in St. Louis, St. Louis, MO
| | - Hongyu An
- Radiology, Washington Univ in St. Louis, St. Louis, MO
| | - Andria L Ford
- Neurology, Washington Univ in St. Louis, St. Louis, MO
| | - Jin-Moo Lee
- Neurology, Washington Univ in St. Louis, St. Louis, MO
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Ford AL, Guilliams KP, Fields ME, Ragan DK, Eldeniz C, Binkley MM, Blinder M, Chen Y, Hulbert ML, An H. Abstract TMP57: Cerebral Oxygen Metabolism as a Biomarker to Stratify Stroke Risk in Young Adults with Sickle Cell Disease. Stroke 2017. [DOI: 10.1161/str.48.suppl_1.tmp57] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
While imaging biomarkers guide stroke prevention strategies in children with sickle cell (SC) disease, none have been adequately studied in adults. High oxygen extraction (OEF) predicts stroke in non-SC adults with carotid occlusion, while low oxygen metabolism (CMRO
2
) predicts tissue at imminent risk in acute ischemic stroke. We hypothesized that metrics of cerebral metabolism: (1) differ between SC adults with and without stroke and (2) correlate with infarct burden.
Methods:
A prospective MRI study enrolled 37 adults (28 ± 8 yr) from SC clinic into 4 groups: (1) 9 age/race matched healthy controls, (2) 6 SC adults without infarcts, (3) 15 SC adults with infarcts (infarct volume 7.4 ± 17.5 ml), and (4) 7 SC adults on chronic transfusions (Tx) (infarct volume 3.6 ± 6.6 ml). Arterial spin labelling and asymmetric spin echo measured voxel-wise cerebral blood flow (CBF) and OEF. CMRO
2
= CBF x OEF x blood oxygen content. Infarcts were delineated on FLAIR. OEF, CBF, and CMRO
2
(excluding infarcted tissue) were compared: between groups 1-3 (Kruskal-Wallis) and in group 4 between pre- and post-tx scans (Signed Rank). An ROI defined by high OEF within the deep white matter (a region at high stroke risk in SC) was applied to group 3. OEF, CBF, and CMRO
2
within the ROI were correlated with hemispheric infarct volume (IV) (Spearman’s
ρ
).
Results:
Whole brain OEF showed a stepwise increase from controls, to SC adults without stroke, to SC adults with stroke (P<.001). SC adults on chronic Tx had intermediate OEF, with lowering of OEF post-Tx (Fig A). CBF and CMRO
2
were similar for SC adults with and without stroke (Fig B, C). High OEF and low CBF/CMRO
2
in the ROI correlated with hemispheric infarct burden: IV vs. OEF (
ρ
=.40, P=.043); IV vs. CBF (
ρ
=-.61, P=.002); and IV vs. CMRO
2
(
ρ
=-.50, P=.016).
Conclusion:
Global OEF holds promise to stratify stroke risk in SC disease. Regional metrics of cerebral oxygen metabolism may indicate tissue-specific metabolic stress at imminent risk of infarction.
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Affiliation(s)
| | | | | | | | | | | | | | - Yasheng Chen
- Washington Univ Sch of Medicine, Saint Louis, MO
| | | | - Hongyu An
- Washington Univ Sch of Medicine, Saint Louis, MO
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