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Do KK, Wang F, Sun X, Zhang Y, Liang W, Liu JY, Jiang DY, Lu X, Wang W, Zhang L, Dean DC, Liu Y. Conditional deletion of Zeb1 in Csf1r + cells reduces inflammatory response of the cornea to alkali burn. iScience 2024; 27:109694. [PMID: 38660397 PMCID: PMC11039400 DOI: 10.1016/j.isci.2024.109694] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/29/2024] [Accepted: 04/05/2024] [Indexed: 04/26/2024] Open
Abstract
ZEB1 is an essential factor in embryonic development. In adults, it is often highly expressed in malignant tumors with low expression in normal tissues. The major biological function of ZEB1 in developing embryos and progressing cancers is to transdifferentiate cells from an epithelial to mesenchymal phenotype; but what roles ZEB1 plays in normal adult tissues are largely unknown. We previously reported that the reduction of Zeb1 in monoallelic global knockout (Zeb1+/-) mice reduced corneal inflammation-associated neovascularization following alkali burn. To uncover the cellular mechanism underlying the Zeb1 regulation of corneal inflammation, we functionally deleted Zeb1 alleles in Csf1r+ myeloid cells using a conditional knockout (cKO) strategy and found that Zeb1 cKO reduced leukocytes in the cornea after alkali burn. The reduction of immune cells was due to their increased apoptotic rate and linked to a Zeb1-downregulated apoptotic pathway. We conclude that Zeb1 facilitates corneal inflammatory response by maintaining Csf1r+ cell viability.
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Affiliation(s)
- Khoi K. Do
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY 40202, USA
| | - Fuhua Wang
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY 40202, USA
- Eye Institute and Eye Hospital of Shangdong First Medical University, Jinan 250021, China
| | - Xiaolei Sun
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY 40202, USA
- Eye Institute and Eye Hospital of Shangdong First Medical University, Jinan 250021, China
| | - Yingnan Zhang
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY 40202, USA
- The Rosenberg School of Optometry, University of the Incarnate Word, San Antonio, TX 78229, USA
| | - Wei Liang
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY 40202, USA
- Department of Ophthalmology, Third People’s Hospital of Dalian, Dalian Medical University, Dalian 116033, China
| | - John Y. Liu
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY 40202, USA
| | - Daniel Y. Jiang
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY 40202, USA
| | - Xiaoqin Lu
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY 40202, USA
| | - Wei Wang
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY 40202, USA
| | - Lijun Zhang
- Department of Ophthalmology, Third People’s Hospital of Dalian, Dalian Medical University, Dalian 116033, China
| | - Douglas C. Dean
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY 40202, USA
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY 40202, USA
- James Brown Cancer Center, University of Louisville School of Medicine, Louisville, KY 40202, USA
| | - Yongqing Liu
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY 40202, USA
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY 40202, USA
- James Brown Cancer Center, University of Louisville School of Medicine, Louisville, KY 40202, USA
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Nair AK, Bendlin BB, Dean DC, Rosenkranz MA. Response to: Failure of the glymphatic system by increases of jugular resistance as possible link between asthma and dementia. Brain Commun 2024; 6:fcae038. [PMID: 38410620 PMCID: PMC10896471 DOI: 10.1093/braincomms/fcae038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 12/09/2023] [Accepted: 02/12/2024] [Indexed: 02/28/2024] Open
Affiliation(s)
- Ajay Kumar Nair
- Center for Healthy Minds, University of Wisconsin-Madison,
Madison, WI, 53703USA
- Institute on Aging, University of Wisconsin-Madison,
Madison, WI, 53706USA
| | - Barbara B Bendlin
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and
Public Health, University of Wisconsin-Madison, Madison, WI,
53792USA
- Department of Medicine, School of Medicine and Public Health, University of
Wisconsin-Madison, Madison, WI, 53792USA
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health,
University of Wisconsin-Madison, Madison, WI,
53792USA
| | - Douglas C Dean
- Department of Pediatrics, University of Wisconsin School of Medicine and
Public Health, Madison, WI, 53792USA
- Department of Medical Physics, University of Wisconsin School of Medicine
and Public Health, Madison, WI, 53705USA
- Waisman Center, University of Wisconsin-Madison,
Madison, WI, 53705USA
| | - Melissa A Rosenkranz
- Center for Healthy Minds, University of Wisconsin-Madison,
Madison, WI, 53703USA
- Department of Psychiatry, University of Wisconsin-Madison,
Madison, WI, 53719USA
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3
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Travers BG, Surgent O, Guerrero-Gonzalez J, Dean DC, Adluru N, Kecskemeti SR, Kirk GR, Alexander AL, Zhu J, Skaletski EC, Naik S, Duran M. Role of autonomic, nociceptive, and limbic brainstem nuclei in core autism features. Autism Res 2024; 17:266-279. [PMID: 38278763 PMCID: PMC10922575 DOI: 10.1002/aur.3096] [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: 10/20/2023] [Accepted: 01/08/2024] [Indexed: 01/28/2024]
Abstract
Although multiple theories have speculated about the brainstem reticular formation's involvement in autistic behaviors, the in vivo imaging of brainstem nuclei needed to test these theories has proven technologically challenging. Using methods to improve brainstem imaging in children, this study set out to elucidate the role of the autonomic, nociceptive, and limbic brainstem nuclei in the autism features of 145 children (74 autistic children, 6.0-10.9 years). Participants completed an assessment of core autism features and diffusion- and T1-weighted imaging optimized to improve brainstem images. After data reduction via principal component analysis, correlational analyses examined associations among autism features and the microstructural properties of brainstem clusters. Independent replication was performed in 43 adolescents (24 autistic, 13.0-17.9 years). We found specific nuclei, most robustly the parvicellular reticular formation-alpha (PCRtA) and to a lesser degree the lateral parabrachial nucleus (LPB) and ventral tegmental parabrachial pigmented complex (VTA-PBP), to be associated with autism features. The PCRtA and some of the LPB associations were independently found in the replication sample, but the VTA-PBP associations were not. Consistent with theoretical perspectives, the findings suggest that individual differences in pontine reticular formation nuclei contribute to the prominence of autistic features. Specifically, the PCRtA, a nucleus involved in mastication, digestion, and cardio-respiration in animal models, was associated with social communication in children, while the LPB, a pain-network nucleus, was associated with repetitive behaviors. These findings highlight the contributions of key autonomic brainstem nuclei to the expression of core autism features.
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Affiliation(s)
- Brittany G. Travers
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Kinesiology, Occupational Therapy Program, University of Wisconsin-Madison, Madison, WI, USA
| | - Olivia Surgent
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Jose Guerrero-Gonzalez
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Douglas C. Dean
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI, USA
| | - Nagesh Adluru
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Gregory R. Kirk
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Andrew L. Alexander
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA
| | - Jun Zhu
- Department of Statistics, University of Wisconsin-Madison, Madison, WI, USA
| | - Emily C. Skaletski
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Kinesiology, Occupational Therapy Program, University of Wisconsin-Madison, Madison, WI, USA
| | - Sonali Naik
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Monica Duran
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
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Gallagher RL, Koscik RL, Moody JF, Vogt NM, Adluru N, Kecskemeti SR, Van Hulle CA, Chin NA, Asthana S, Kollmorgen G, Suridjan I, Carlsson CM, Johnson SC, Dean DC, Zetterberg H, Blennow K, Alexander AL, Bendlin BB. Neuroimaging of tissue microstructure as a marker of neurodegeneration in the AT(N) framework: defining abnormal neurodegeneration and improving prediction of clinical status. Alzheimers Res Ther 2023; 15:180. [PMID: 37848950 PMCID: PMC10583332 DOI: 10.1186/s13195-023-01281-y] [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: 12/03/2021] [Accepted: 07/27/2023] [Indexed: 10/19/2023]
Abstract
BACKGROUND Alzheimer's disease involves accumulating amyloid (A) and tau (T) pathology, and progressive neurodegeneration (N), leading to the development of the AD clinical syndrome. While several markers of N have been proposed, efforts to define normal vs. abnormal neurodegeneration based on neuroimaging have been limited. Sensitive markers that may account for or predict cognitive dysfunction for individuals in early disease stages are critical. METHODS Participants (n = 296) defined on A and T status and spanning the AD-clinical continuum underwent multi-shell diffusion-weighted magnetic resonance imaging to generate Neurite Orientation Dispersion and Density Imaging (NODDI) metrics, which were tested as markers of N. To better define N, we developed age- and sex-adjusted robust z-score values to quantify normal and AD-associated (abnormal) neurodegeneration in both cortical gray matter and subcortical white matter regions of interest. We used general logistic regression with receiver operating characteristic (ROC) and area under the curve (AUC) analysis to test whether NODDI metrics improved diagnostic accuracy compared to models that only relied on cerebrospinal fluid (CSF) A and T status (alone and in combination). RESULTS Using internal robust norms, we found that NODDI metrics correlate with worsening cognitive status and that NODDI captures early, AD neurodegenerative pathology in the gray matter of cognitively unimpaired, but A/T biomarker-positive, individuals. NODDI metrics utilized together with A and T status improved diagnostic prediction accuracy of AD clinical status, compared with models using CSF A and T status alone. CONCLUSION Using a robust norms approach, we show that abnormal AD-related neurodegeneration can be detected among cognitively unimpaired individuals. Metrics derived from diffusion-weighted imaging are potential sensitive markers of N and could be considered for trial enrichment and as outcomes in clinical trials. However, given the small sample sizes, the exploratory nature of the work must be acknowledged.
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Affiliation(s)
- Rigina L Gallagher
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Medical Scientist Training Program, University of Wisconsin-Madison, Madison, WI, USA
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
| | - Rebecca Langhough Koscik
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
| | - Jason F Moody
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
| | - Nicholas M Vogt
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Medical Scientist Training Program, University of Wisconsin-Madison, Madison, WI, USA
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
| | - Nagesh Adluru
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
- Waisman Research Center, Madison, WI, USA
| | | | - Carol A Van Hulle
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
| | - Nathaniel A Chin
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
| | - Sanjay Asthana
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
- Veterans Administration, Madison, WI, USA
| | | | | | - Cynthia M Carlsson
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Veterans Administration, Madison, WI, USA
| | - Sterling C Johnson
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Veterans Administration, Madison, WI, USA
| | - Douglas C Dean
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Waisman Research Center, Madison, WI, USA
| | - Henrik Zetterberg
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Andrew L Alexander
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Waisman Research Center, Madison, WI, USA
| | - Barbara B Bendlin
- School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
- Wisconsin Alzheimer's Disease Research Center, Madison, WI, USA.
- Wisconsin Alzheimer's Institute, Madison, WI, USA.
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5
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Weaver JM, DiPiero M, Rodrigues PG, Cordash H, Davidson RJ, Planalp EM, Dean DC. Automated motion artifact detection in early pediatric diffusion MRI using a convolutional neural network. Imaging Neurosci (Camb) 2023; 1:10.1162/imag_a_00023. [PMID: 38344118 PMCID: PMC10854394 DOI: 10.1162/imag_a_00023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/15/2024]
Abstract
Diffusion MRI (dMRI) is a widely used method to investigate the microstructure of the brain. Quality control (QC) of dMRI data is an important processing step that is performed prior to analysis using models such as diffusion tensor imaging (DTI) or neurite orientation dispersion and density imaging (NODDI). When processing dMRI data from infants and young children, where intra-scan motion is common, the identification and removal of motion artifacts is of the utmost importance. Manual QC of dMRI data is (1) time-consuming due to the large number of diffusion directions, (2) expensive, and (3) prone to subjective errors and observer variability. Prior techniques for automated dMRI QC have mostly been limited to adults or school-age children. Here, we propose a deep learning-based motion artifact detection tool for dMRI data acquired from infants and toddlers. The proposed framework uses a simple three-dimensional convolutional neural network (3DCNN) trained and tested on an early pediatric dataset of 2,276 dMRI volumes from 121 exams acquired at 1 month and 24 months of age. An average classification accuracy of 95% was achieved following four-fold cross-validation. A second dataset with different acquisition parameters and ages ranging from 2-36 months (consisting of 2,349 dMRI volumes from 26 exams) was used to test network generalizability, achieving 98% classification accuracy. Finally, to demonstrate the importance of motion artifact volume removal in a dMRI processing pipeline, the dMRI data were fit to the DTI and NODDI models and the parameter maps were compared with and without motion artifact removal.
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Affiliation(s)
- Jayse Merle Weaver
- Department of Medical Physics, University of Wisconsin–Madison, Madison, WI, United States
- Waisman Center, University of Wisconsin–Madison, Madison, WI, United States
| | - Marissa DiPiero
- Waisman Center, University of Wisconsin–Madison, Madison, WI, United States
- Neuroscience Training Program, University of Wisconsin–Madison, Madison, WI, United States
| | | | - Hassan Cordash
- Waisman Center, University of Wisconsin–Madison, Madison, WI, United States
| | - Richard J. Davidson
- Waisman Center, University of Wisconsin–Madison, Madison, WI, United States
- Department of Psychology, University of Wisconsin–Madison, Madison, WI, United States
- Center for Healthy Minds, University of Wisconsin–Madison, Madison WI, United States
- Department of Psychiatry, University of Wisconsin–Madison, Madison, WI, United States
| | - Elizabeth M. Planalp
- Waisman Center, University of Wisconsin–Madison, Madison, WI, United States
- Department of Medicine, University of Wisconsin–Madison, Madison, WI, United States
| | - Douglas C. Dean
- Department of Medical Physics, University of Wisconsin–Madison, Madison, WI, United States
- Waisman Center, University of Wisconsin–Madison, Madison, WI, United States
- Department of Pediatrics, University of Wisconsin–Madison, Madison, WI, United States
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6
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DiPiero M, Cordash H, Prigge MB, King CK, Morgan J, Guerrero-Gonzalez J, Adluru N, King JB, Lange N, Bigler ED, Zielinski BA, Alexander AL, Lainhart JE, Dean DC. Tract- and gray matter- based spatial statistics show white matter and gray matter microstructural differences in autistic males. Front Neurosci 2023; 17:1231719. [PMID: 37829720 PMCID: PMC10565827 DOI: 10.3389/fnins.2023.1231719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 09/07/2023] [Indexed: 10/14/2023] Open
Abstract
Background Autism spectrum disorder (ASD) is a neurodevelopmental condition commonly studied in the context of early childhood. As ASD is a life-long condition, understanding the characteristics of brain microstructure from adolescence into adulthood and associations to clinical features is critical for improving outcomes across the lifespan. In the current work, we utilized Tract Based Spatial Statistics (TBSS) and Gray Matter Based Spatial Statistics (GBSS) to examine the white matter (WM) and gray matter (GM) microstructure in neurotypical (NT) and autistic males. Methods Multi-shell diffusion MRI was acquired from 78 autistic and 81 NT males (12-to-46-years) and fit to the DTI and NODDI diffusion models. TBSS and GBSS were performed to analyze WM and GM microstructure, respectively. General linear models were used to investigate group and age-related group differences. Within the ASD group, relationships between WM and GM microstructure and measures of autistic symptoms were investigated. Results All dMRI measures were significantly associated with age across WM and GM. Significant group differences were observed across WM and GM. No significant age-by-group interactions were detected. Within the ASD group, positive relationships with WM microstructure were observed with ADOS-2 Calibrated Severity Scores. Conclusion Using TBSS and GBSS our findings provide new insights into group differences of WM and GM microstructure in autistic males from adolescence into adulthood. Detection of microstructural differences across the lifespan as well as their relationship to the level of autistic symptoms will deepen to our understanding of brain-behavior relationships of ASD and may aid in the improvement of intervention options for autistic adults.
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Affiliation(s)
- Marissa DiPiero
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, United States
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
| | - Hassan Cordash
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
| | - Molly B. Prigge
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States
| | - Carolyn K. King
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States
| | - Jubel Morgan
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States
| | | | - Nagesh Adluru
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
- Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States
| | - Jace B. King
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States
| | - Nicholas Lange
- Department of Psychiatry, Harvard School of Medicine, Boston, MA, United States
| | - Erin D. Bigler
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States
- Department of Neurology, University of Utah, Salt Lake City, UT, United States
- Department of Psychiatry, University of Utah, Salt Lake City, UT, United States
- Department of Psychology and Neuroscience Center, Brigham Young University, Provo, UT, United States
- Department of Neurology, University of California, Davis, Davis, CA, United States
| | - Brandon A. Zielinski
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States
- Department of Neurology, University of Utah, Salt Lake City, UT, United States
- Department of Pediatrics, University of Utah, Salt Lake City, UT, United States
- Departments of Pediatrics and Neurology, University of Florida, Gainesville, FL, United States
- McKnight Brain Institute, University of Florida, Gainesville, FL, United States
| | - Andrew L. Alexander
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States
| | - Janet E. Lainhart
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States
| | - Douglas C. Dean
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI, United States
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Lee SJ, Emery D, Vukmanic E, Wang Y, Lu X, Wang W, Fortuny E, James R, Kaplan HJ, Liu Y, Du J, Dean DC. Metabolic transcriptomics dictate responses of cone photoreceptors to retinitis pigmentosa. Cell Rep 2023; 42:113054. [PMID: 37656622 PMCID: PMC10591869 DOI: 10.1016/j.celrep.2023.113054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/21/2023] [Accepted: 08/15/2023] [Indexed: 09/03/2023] Open
Abstract
Most mutations in retinitis pigmentosa (RP) arise in rod photoreceptors, but cone photoreceptors, responsible for high-resolution daylight and color vision, are subsequently affected, causing the most debilitating features of the disease. We used mass spectroscopy to follow 13C metabolites delivered to the outer retina and single-cell RNA sequencing to assess photoreceptor transcriptomes. The S cone metabolic transcriptome suggests engagement of the TCA cycle and ongoing response to ROS characteristic of oxidative phosphorylation, which we link to their histone modification transcriptome. Tumor necrosis factor (TNF) and its downstream effector RIP3, which drive ROS generation via mitochondrial dysfunction, are induced and activated as S cones undergo early apoptosis in RP. The long/medium-wavelength (L/M) cone transcriptome shows enhanced glycolytic capacity, which maintains their function as RP progresses. Then, as extracellular glucose eventually diminishes, L/M cones are sustained in long-term dormancy by lactate metabolism.
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Affiliation(s)
- Sang Joon Lee
- Department of Medicine, Brown Cancer Center, University of Louisville Health Sciences Center, Louisville, KY 40202, USA; Department of Ophthalmology, Kosin University College of Medicine, #262 Gamcheon-ro, Seo-gu, Busan 49267, Korea
| | - Douglas Emery
- Department of Medicine, Brown Cancer Center, University of Louisville Health Sciences Center, Louisville, KY 40202, USA
| | - Eric Vukmanic
- Department of Medicine, Brown Cancer Center, University of Louisville Health Sciences Center, Louisville, KY 40202, USA
| | - Yekai Wang
- Departments of Ophthalmology and Visual Sciences and Biochemistry and Molecular Medicine, West Virginia University, Morgantown, WV 26506, USA
| | - Xiaoqin Lu
- Department of Medicine, Brown Cancer Center, University of Louisville Health Sciences Center, Louisville, KY 40202, USA
| | - Wei Wang
- Department of Ophthalmology and Visual Sciences, University of Louisville Health Sciences Center, Louisville, KY 40202, USA
| | - Enzo Fortuny
- Department of Neurosurgery, University of Louisville Health Sciences Center, Louisville, KY 40202, USA
| | - Robert James
- Department of Neurosurgery, University of Louisville Health Sciences Center, Louisville, KY 40202, USA
| | - Henry J Kaplan
- Department of Ophthalmology, St. Louis University School of Medicine, St. Louis MO 63110, USA
| | - Yongqing Liu
- Department of Medicine, Brown Cancer Center, University of Louisville Health Sciences Center, Louisville, KY 40202, USA
| | - Jianhai Du
- Departments of Ophthalmology and Visual Sciences and Biochemistry and Molecular Medicine, West Virginia University, Morgantown, WV 26506, USA.
| | - Douglas C Dean
- Department of Medicine, Brown Cancer Center, University of Louisville Health Sciences Center, Louisville, KY 40202, USA.
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8
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Nair AK, Van Hulle CA, Bendlin BB, Zetterberg H, Blennow K, Wild N, Kollmorgen G, Suridjan I, Busse WW, Dean DC, Rosenkranz MA. Impact of asthma on the brain: evidence from diffusion MRI, CSF biomarkers and cognitive decline. Brain Commun 2023; 5:fcad180. [PMID: 37377978 PMCID: PMC10292933 DOI: 10.1093/braincomms/fcad180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 04/27/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2023] Open
Abstract
Chronic systemic inflammation increases the risk of neurodegeneration, but the mechanisms remain unclear. Part of the challenge in reaching a nuanced understanding is the presence of multiple risk factors that interact to potentiate adverse consequences. To address modifiable risk factors and mitigate downstream effects, it is necessary, although difficult, to tease apart the contribution of an individual risk factor by accounting for concurrent factors such as advanced age, cardiovascular risk, and genetic predisposition. Using a case-control design, we investigated the influence of asthma, a highly prevalent chronic inflammatory disease of the airways, on brain health in participants recruited to the Wisconsin Alzheimer's Disease Research Center (31 asthma patients, 186 non-asthma controls, aged 45-90 years, 62.2% female, 92.2% cognitively unimpaired), a sample enriched for parental history of Alzheimer's disease. Asthma status was determined using detailed prescription information. We employed multi-shell diffusion weighted imaging scans and the three-compartment neurite orientation dispersion and density imaging model to assess white and gray matter microstructure. We used cerebrospinal fluid biomarkers to examine evidence of Alzheimer's disease pathology, glial activation, neuroinflammation and neurodegeneration. We evaluated cognitive changes over time using a preclinical Alzheimer cognitive composite. Using permutation analysis of linear models, we examined the moderating influence of asthma on relationships between diffusion imaging metrics, CSF biomarkers, and cognitive decline, controlling for age, sex, and cognitive status. We ran additional models controlling for cardiovascular risk and genetic risk of Alzheimer's disease, defined as a carrier of at least one apolipoprotein E (APOE) ε4 allele. Relative to controls, greater Alzheimer's disease pathology (lower amyloid-β42/amyloid-β40, higher phosphorylated-tau-181) and synaptic degeneration (neurogranin) biomarker concentrations were associated with more adverse white matter metrics (e.g. lower neurite density, higher mean diffusivity) in patients with asthma. Higher concentrations of the pleiotropic cytokine IL-6 and the glial marker S100B were associated with more salubrious white matter metrics in asthma, but not in controls. The adverse effects of age on white matter integrity were accelerated in asthma. Finally, we found evidence that in asthma, relative to controls, deterioration in white and gray matter microstructure was associated with accelerated cognitive decline. Taken together, our findings suggest that asthma accelerates white and gray matter microstructural changes associated with aging and increasing neuropathology, that in turn, are associated with more rapid cognitive decline. Effective asthma control, on the other hand, may be protective and slow progression of cognitive symptoms.
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Affiliation(s)
- Ajay Kumar Nair
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI 53703, USA
| | - Carol A Van Hulle
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Barbara B Bendlin
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
- Wisconsin Alzheimer’s Institute, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53726, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, S-431 30 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, S-431 30 Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WCIE 6BT, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, Clear Water Bay, Hong Kong SAR, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, S-431 30 Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, S-431 30 Mölndal, Sweden
| | - Norbert Wild
- Roche Diagnostics GmbH, Core Lab RED, 82377 Penzberg, Germany
| | | | - Ivonne Suridjan
- CDMA Clinical Development, Roche Diagnostics International Ltd, CH-6346, Rotkreuz, Switzerland
| | - William W Busse
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Douglas C Dean
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Melissa A Rosenkranz
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI 53703, USA
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
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9
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Surgent O, Guerrero-Gonzalez J, Dean DC, Kirk GR, Adluru N, Kecskemeti SR, Alexander AL, Travers BG. How we get a grip: Microstructural neural correlates of manual grip strength in children. Neuroimage 2023; 273:120117. [PMID: 37062373 PMCID: PMC10161685 DOI: 10.1016/j.neuroimage.2023.120117] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 12/09/2022] [Revised: 03/23/2023] [Accepted: 04/13/2023] [Indexed: 04/18/2023] Open
Abstract
Maximal grip strength is associated with a variety of health-related outcome measures and thus may be reflective of the efficiency of foundational brain-body communication. Non-human primate models of grip strength strongly implicate the cortical lateral grasping network, but little is known about the translatability of these models to human children. Further, it is unclear how supplementary networks that provide proprioceptive information and cerebellar-based motor command modification are associated with maximal grip strength. Therefore, this study employed high resolution, multi-shell diffusion and quantitative T1 imaging to examine how variations in lateral grasping, proprioception input, and cortico-cerebellar modification network white matter microstructure are associated with variations in grip strength across 70 children. Results indicated that stronger grip strength was associated with higher lateral grasping and proprioception input network fractional anisotropy and R1, indirect measures consistent with stronger microstructural coherence and increased myelination. No relationships were found in the cerebellar modification network. These results provide a neurobiological mechanism of grip behavior in children which suggests that increased myelination of cortical sensory and motor pathways is associated with stronger grip. This neurobiological mechanism may be a signature of pediatric neuro-motor behavior more broadly as evidenced by the previously demonstrated relationships between grip strength and behavioral outcome measures across a variety of clinical and non-clinical populations.
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Affiliation(s)
- Olivia Surgent
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States; Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, United States
| | - Jose Guerrero-Gonzalez
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States
| | - Douglas C Dean
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States; Department of Pediatrics, University of Wisconsin-Madison, Madison, WI, United States
| | - Gregory R Kirk
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
| | - Nagesh Adluru
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States; Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States
| | | | - Andrew L Alexander
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States; Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States
| | - Brittany G Travers
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States; Occupational Therapy Program in the Department of Kinesiology, University of Wisconsin-Madison, Madison, WI, United States.
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10
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Affiliation(s)
- Marisa N Spann
- Vagelos College of Physicians and Surgeons, Columbia University, New York, New York; New York State Psychiatric Institute, New York, New York.
| | - Jessica L Wisnowski
- Children's Hospital Los Angeles, Los Angeles, California; Keck School of Medicine, University of Southern California, Los Angeles, California
| | | | - Brittany Howell
- Fralin Biomedical Research Institute at Virginia Tech Carilion, Roanoke, Virginia; Department of Human Development and Family Science, Virginia Tech, Blacksburg, Virginia
| | - Douglas C Dean
- Departments of Pediatrics and Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin; Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin.
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11
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Planalp EM, Dowe KN, Alexander AL, Goldsmith HH, Davidson RJ, Dean DC. White matter microstructure predicts individual differences in infant fear (But not anger and sadness). Dev Sci 2023; 26:e13340. [PMID: 36367143 PMCID: PMC10079554 DOI: 10.1111/desc.13340] [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: 09/16/2021] [Revised: 08/19/2022] [Accepted: 10/18/2022] [Indexed: 11/13/2022]
Abstract
We examine neural correlates of discrete expressions of negative emotionality in infants to determine whether the microstructure of white matter tracts at 1 month of age foreshadows the expression of specific negative emotions later in infancy. Infants (n = 103) underwent neuroimaging at 1-month, and mothers reported on infant fear, sadness, and anger at 6, 12, and 18 months using the Infant Behavior Questionnaire-Revised. Levels and developmental change in fear, sadness, and anger were estimated from mother reports. Relations between MRI and infant emotion indicated that 1-month white matter microstructure was differentially associated with level and change in infant fear, but not anger or sadness, in the left stria terminalis (p < 0.05, corrected), a tract that connects frontal and tempo-parietal regions and has been implicated in emerging psychopathology in adults. More relaxed constraints on significance (p < 0.10, corrected) revealed that fear was associated with lower white matter microstructure bilaterally in the inferior portion of the stria terminalis and regions within the sagittal stratum. Results suggest the neurobehavioral uniqueness of fear as early as 1 month of age in regions that are associated with potential longer-term outcomes. This work highlights the early neural precursors of fearfulness, adding to literature explaining the psychobiological accounts of affective development. HIGHLIGHTS: Expressions of infant fear and anger, but not sadness, increase from 6 to 18 months of age. Early neural architecture in the stria terminalis is related to higher initial levels and increasing fear in infancy. After accounting for fear, anger and sadness do not appear to be associated with differences in early white matter microstructure. This work identifies early neural precursors of fearfulness as early as 1-month of age.
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Affiliation(s)
| | - Kristin N Dowe
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Psychology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Andrew L Alexander
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Psychiatry, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - H Hill Goldsmith
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Psychology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Richard J Davidson
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Psychology, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Douglas C Dean
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Pediatrics, University of Wisconsin-Madison, Madison, Wisconsin, USA
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12
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Zhang Y, Do KK, Wang F, Lu X, Liu JY, Li C, Ceresa BP, Zhang L, Dean DC, Liu Y. Zeb1 facilitates corneal epithelial wound healing by maintaining corneal epithelial cell viability and mobility. Commun Biol 2023; 6:434. [PMID: 37081200 PMCID: PMC10119281 DOI: 10.1038/s42003-023-04831-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 04/11/2023] [Indexed: 04/22/2023] Open
Abstract
The cornea is the outmost ocular tissue and plays an important role in protecting the eye from environmental insults. Corneal epithelial wounding provokes pain and fear and contributes to the most ocular trauma emergency assessments worldwide. ZEB1 is an essential transcription factor in development; but its roles in adult tissues are not clear. We identify Zeb1 is an intrinsic factor that facilitates corneal epithelial wound healing. In this study, we demonstrate that monoallelic deletion of Zeb1 significantly expedites corneal cell death and inhibits corneal epithelial EMT-related cell migration upon an epithelial debridement. We provide evidence that Zeb1-regulation of corneal epithelial wound healing is through the repression of genes required for Tnfa-induced epithelial cell death and the induction of genes beneficial for epithelial cell migration. We suggest utilizing TNF-α antagonists would reduce TNF/TNFR1-induced cell death in the corneal epithelium and inflammation in the corneal stroma to help corneal wound healing.
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Affiliation(s)
- Yingnan Zhang
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY, 40202, USA
- The Rosenberg School of Optometry, University of the Incarnate Word, San Antonio, TX, 78229, USA
| | - Khoi K Do
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY, 40202, USA
| | - Fuhua Wang
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY, 40202, USA
- Eye Institute and Eye Hospital of Shangdong First Medical University, 250021, Jinan, China
| | - Xiaoqin Lu
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY, 40202, USA
- James Brown Cancer Center, University of Louisville School of Medicine, Louisville, KY, 40202, USA
| | - John Y Liu
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY, 40202, USA
| | - Chi Li
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY, 40202, USA
- James Brown Cancer Center, University of Louisville School of Medicine, Louisville, KY, 40202, USA
| | - Brian P Ceresa
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, KY, 40202, USA
| | - Lijun Zhang
- Department of Ophthalmology, Third People's Hospital of Dalian, Dalian Medical University, 116033, Dalian, China
| | - Douglas C Dean
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY, 40202, USA.
- James Brown Cancer Center, University of Louisville School of Medicine, Louisville, KY, 40202, USA.
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY, 40202, USA.
| | - Yongqing Liu
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY, 40202, USA.
- James Brown Cancer Center, University of Louisville School of Medicine, Louisville, KY, 40202, USA.
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY, 40202, USA.
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13
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DiPiero M, Rodrigues PG, Gromala A, Dean DC. Applications of advanced diffusion MRI in early brain development: a comprehensive review. Brain Struct Funct 2023; 228:367-392. [PMID: 36585970 PMCID: PMC9974794 DOI: 10.1007/s00429-022-02605-8] [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: 09/02/2022] [Accepted: 12/21/2022] [Indexed: 01/01/2023]
Abstract
Brain development follows a protracted developmental timeline with foundational processes of neurodevelopment occurring from the third trimester of gestation into the first decade of life. Defining structural maturational patterns of early brain development is a critical step in detecting divergent developmental trajectories associated with neurodevelopmental and psychiatric disorders that arise later in life. While considerable advancements have already been made in diffusion magnetic resonance imaging (dMRI) for pediatric research over the past three decades, the field of neurodevelopment is still in its infancy with remarkable scientific and clinical potential. This comprehensive review evaluates the application, findings, and limitations of advanced dMRI methods beyond diffusion tensor imaging, including diffusion kurtosis imaging (DKI), constrained spherical deconvolution (CSD), neurite orientation dispersion and density imaging (NODDI) and composite hindered and restricted model of diffusion (CHARMED) to quantify the rapid and dynamic changes supporting the underlying microstructural architectural foundations of the brain in early life.
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Affiliation(s)
- Marissa DiPiero
- Department of Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | | | - Alyssa Gromala
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Douglas C Dean
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA.
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI, 53705, USA.
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, 53705, USA.
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14
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Moody JF, Dean DC, Kecskemeti SR, Blennow K, Zetterberg H, Kollmorgen G, Suridjan I, Wild N, Carlsson CM, Johnson SC, Alexander AL, Bendlin BB. Associations between diffusion MRI microstructure and cerebrospinal fluid markers of Alzheimer's disease pathology and neurodegeneration along the Alzheimer's disease continuum. Alzheimers Dement (Amst) 2022; 14:e12381. [PMID: 36479018 PMCID: PMC9720004 DOI: 10.1002/dad2.12381] [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] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 09/14/2022] [Accepted: 10/29/2022] [Indexed: 12/07/2022]
Abstract
Introduction White matter (WM) degeneration is a critical component of early Alzheimer's disease (AD) pathophysiology. Diffusion-weighted imaging (DWI) models, including diffusion tensor imaging (DTI), neurite orientation dispersion and density imaging (NODDI), and mean apparent propagator MRI (MAP-MRI), have the potential to identify early neurodegenerative WM changes associated with AD. Methods We imaged 213 (198 cognitively unimpaired) aging adults with DWI and used tract-based spatial statistics to compare 15 DWI metrics of WM microstructure to 9 cerebrospinal fluid (CSF) markers of AD pathology and neurodegeneration treated as continuous variables. Results We found widespread WM injury in AD, as indexed by robust associations between DWI metrics and CSF biomarkers. MAP-MRI had more spatially diffuse relationships with Aβ42/40 and pTau, compared with NODDI and DTI. Discussion Our results suggest that WM degeneration may be more pervasive in AD than is commonly appreciated and that innovative DWI models such as MAP-MRI may provide clinically viable biomarkers of AD-related neurodegeneration in the earliest stages of AD progression.
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Affiliation(s)
- Jason F. Moody
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Douglas C. Dean
- Waisman CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of PediatricsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | | | - Kaj Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
- UK Dementia Research InstituteUCLLondonUK
- Hong Kong Center for Neurodegenerative DiseasesHong KongChina
| | | | | | | | - Cynthia M. Carlsson
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Sterling C. Johnson
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Geriatric Research Education and Clinical CenterMiddleton Memorial VA HospitalMadisonWisconsinUSA
| | - Andrew L. Alexander
- Waisman CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of Medical PhysicsUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of PsychiatryUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Barbara B. Bendlin
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
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15
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Birn RM, Dean DC, Wooten W, Planalp EM, Kecskemeti S, Alexander AL, Goldsmith HH, Davidson RJ. Reduction of Motion Artifacts in Functional Connectivity Resulting from Infrequent Large Motion. Brain Connect 2022; 12:740-753. [PMID: 35152725 PMCID: PMC9618388 DOI: 10.1089/brain.2021.0133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Introduction: Subject head motion is an ongoing challenge in functional magnetic resonance imaging, particularly in the estimation of functional connectivity. Infants (1-month old) scanned during nonsedated sleep often have occasional but large movements of several millimeters separated by periods with relatively little movement. This results in residual signal changes even after image realignment and can distort estimates of functional connectivity. A new motion correction technique, JumpCor, is introduced to reduce the effects of this motion and compared to other existing techniques. Methods: Different approaches for reducing residual motion artifacts after image realignment were compared both in actual and simulated data: JumpCor, regressing out the estimated subject motion, and regressing out the average white matter, cerebrospinal fluid (CSF), and global signals and their temporal derivatives. Results: Motion-related signal changes resulting from infrequent large motion were significantly reduced both by regressing out the estimated motion parameters and by JumpCor. Furthermore, JumpCor significantly reduced artifacts and improved the quality of functional connectivity estimates when combined with typical preprocessing approaches. Discussion: Motion-related signal changes resulting from occasional large motion can be effectively corrected using JumpCor and to a certain extent also by regressing out the estimated motion. This technique should reduce the data loss in studies where participants exhibit this type of motion, such as sleeping infants.
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Affiliation(s)
- Rasmus M. Birn
- Department of Psychiatry, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Douglas C. Dean
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Pediatrics, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - William Wooten
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Elizabeth M. Planalp
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Psychology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Steven Kecskemeti
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Andrew L. Alexander
- Department of Psychiatry, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - H. Hill Goldsmith
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Psychology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Richard J. Davidson
- Department of Psychiatry, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Psychology, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, Wisconsin, USA
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16
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Prigge MBD, Bigler ED, Lange N, Morgan J, Froehlich A, Freeman A, Kellett K, Kane KL, King CK, Taylor J, Dean DC, King JB, Anderson JS, Zielinski BA, Alexander AL, Lainhart JE. Longitudinal Stability of Intellectual Functioning in Autism Spectrum Disorder: From Age 3 Through Mid-adulthood. J Autism Dev Disord 2022; 52:4490-4504. [PMID: 34677753 PMCID: PMC9090201 DOI: 10.1007/s10803-021-05227-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2021] [Indexed: 12/02/2022]
Abstract
Intelligence (IQ) scores are used in educational and vocational planning for individuals with autism spectrum disorder (ASD) yet little is known about the stability of IQ throughout development. We examined longitudinal age-related IQ stability in 119 individuals with ASD (3-36 years of age at first visit) and 128 typically developing controls. Intelligence measures were collected over a 20-year period. In ASD, Full Scale (FSIQ) and Verbal (VIQ) Intelligence started lower in childhood and increased at a greater rate with age relative to the control group. By early adulthood, VIQ and working memory stabilized, whereas nonverbal and perceptual scores continued to change. Our results suggest that in individuals with ASD, IQ estimates may be dynamic in childhood and young adulthood.
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Affiliation(s)
- Molly B D Prigge
- Department of Radiology and Imaging Sciences, Radiology Research, University of Utah, 729 Arapeen Drive, Salt Lake City, UT, 84108, USA.
| | - Erin D Bigler
- Department of Psychology and Neuroscience Center, Brigham Young University, Provo, UT, USA
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
- Department of Neurology, University of California-Davis, Davis, CA, USA
| | - Nicholas Lange
- Department of Psychiatry, Harvard School of Medicine, Boston, MA, USA
| | - Jubel Morgan
- Department of Radiology and Imaging Sciences, Radiology Research, University of Utah, 729 Arapeen Drive, Salt Lake City, UT, 84108, USA
| | - Alyson Froehlich
- Department of Psychology, University of Utah, Salt Lake City, UT, USA
| | - Abigail Freeman
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Kristina Kellett
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Karen L Kane
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Carolyn K King
- Department of Radiology and Imaging Sciences, Radiology Research, University of Utah, 729 Arapeen Drive, Salt Lake City, UT, 84108, USA
| | - June Taylor
- Department of Radiology and Imaging Sciences, Radiology Research, University of Utah, 729 Arapeen Drive, Salt Lake City, UT, 84108, USA
| | - Douglas C Dean
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Jace B King
- Department of Radiology and Imaging Sciences, Radiology Research, University of Utah, 729 Arapeen Drive, Salt Lake City, UT, 84108, USA
| | - Jeff S Anderson
- Department of Radiology and Imaging Sciences, Radiology Research, University of Utah, 729 Arapeen Drive, Salt Lake City, UT, 84108, USA
| | - Brandon A Zielinski
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
- Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | - Andrew L Alexander
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA
| | - Janet E Lainhart
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA
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Van Riper SM, Alexander AL, Barnes JN, Koltyn KF, Stegner AJ, Dean DC, Roberge GA, Kecskemeti SR, Gretzon NP, Cook DB. Neurite Orientation Dispersion Density Imaging Indicates Positive Associations Between Physical Activity And White Matter Structure. Med Sci Sports Exerc 2022. [DOI: 10.1249/01.mss.0000878296.12114.fb] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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18
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Ninneman JV, Gretzon NP, Stegner AJ, Lindheimer JB, Falvo MJ, Wylie GR, Dougherty RJ, Almassi NE, Van Riper SM, Boruch AE, Dean DC, Koltyn KF, Cook DB. Pain, But Not Physical Activity, Is Associated with Gray Matter Volume Differences in Gulf War Veterans with Chronic Pain. J Neurosci 2022; 42:5605-5616. [PMID: 35697521 PMCID: PMC9295831 DOI: 10.1523/jneurosci.2394-21.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 04/27/2022] [Accepted: 05/02/2022] [Indexed: 01/16/2023] Open
Abstract
Chronic musculoskeletal pain (CMP) is a significant burden for Persian Gulf War Veterans (GWVs), yet the causes are poorly understood. Brain structure abnormalities are observed in GWVs, however relationships with modifiable lifestyle factors such as physical activity (PA) are unknown. We evaluated gray matter volumes and associations with symptoms, PA, and sedentary time in GWVs with and without CMP. Ninety-eight GWVs (10 females) with CMP and 56 GWVs (7 females) controls completed T1-weighted magnetic resonance imaging, pain and fatigue symptom questionnaires, and PA measurement via actigraphy. Regional gray matter volumes were analyzed using voxel-based morphometry and were compared across groups using analysis of covariance (ANCOVA). Separate multiple linear regression models were used to test associations between PA intensities, sedentary time, symptoms, and gray matter volumes. Familywise cluster error rates were used to control for multiple comparisons (α = 0.05). GWVs with CMP reported greater pain and fatigue symptoms, worse mood, and engaged in less moderate-to-vigorous PA and more sedentary time than healthy GWVs (all p values < 0.05). GWVs with CMP had smaller gray matter volumes in the bilateral insula and larger volumes in the frontal pole (p < 0.05adjusted). Gray matter volumes in the left insula were associated with pain symptoms (r partial = 0.26, -0.29; p < 0.05adjusted). No significant associations were observed for either PA or sedentary time (p > 0.05adjusted). GWVs with CMP had smaller gray matter volumes within a critical brain region of the descending pain processing network and larger volumes within brain regions associated with pain sensation and affective processing, which may reflect pain chronification.SIGNIFICANCE STATEMENT The pathophysiology of chronic pain in Gulf War veterans is understudied and not well understood. In a large sample of Gulf War veterans, we report veterans with chronic musculoskeletal pain have smaller gray matter volumes in brain regions associated with pain regulation and larger volumes in regions associated with pain sensitivity compared with otherwise healthy Gulf War veterans. Gray matter volumes in regions of pain regulation were significantly associated with pain symptoms and encompassed the observed group brain volume differences. These results are suggestive of deficient pain modulation that may contribute to pain chronification.
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Affiliation(s)
- Jacob V Ninneman
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin 53705
- Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin 53706
| | - Nicholas P Gretzon
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin 53705
- Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin 53706
| | - Aaron J Stegner
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin 53705
- Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin 53706
| | - Jacob B Lindheimer
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin 53705
- Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin 53706
| | - Michael J Falvo
- War Related Illness and Injury Study Center, U.S. Department of Veterans Affairs, Veterans Affairs New Jersey Health Care System, East Orange, New Jersey 07018
- New Jersey Medical School, Rutgers University, Newark, New Jersey 08854
| | - Glenn R Wylie
- War Related Illness and Injury Study Center, U.S. Department of Veterans Affairs, Veterans Affairs New Jersey Health Care System, East Orange, New Jersey 07018
- Kessler Foundation, West Orange, New Jersey 07052
- New Jersey Medical School, Rutgers University, Newark, New Jersey 08854
| | - Ryan J Dougherty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21287
| | - Neda E Almassi
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin 53705
- Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin 53706
| | - Stephanie M Van Riper
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94301
| | - Alexander E Boruch
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin 53705
- Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin 53706
| | - Douglas C Dean
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin 53705
- Department of Pediatrics, University of Wisconsin-Madison, Madison, Wisconsin, 53706
| | - Kelli F Koltyn
- Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin 53706
| | - Dane B Cook
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin 53705
- Department of Kinesiology, University of Wisconsin-Madison, Madison, Wisconsin 53706
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19
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Moody JF, Aggarwal N, Dean DC, Tromp DPM, Kecskemeti SR, Oler JA, Kalin NH, Alexander AL. Longitudinal assessment of early-life white matter development with quantitative relaxometry in nonhuman primates. Neuroimage 2022; 251:118989. [PMID: 35151851 PMCID: PMC8940652 DOI: 10.1016/j.neuroimage.2022.118989] [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: 11/03/2021] [Revised: 01/13/2022] [Accepted: 02/09/2022] [Indexed: 12/01/2022] Open
Abstract
Alterations in white matter (WM) development are associated with many neuropsychiatric and neurodevelopmental disorders. Most MRI studies examining WM development employ diffusion tensor imaging (DTI), which relies on estimating diffusion patterns of water molecules as a reflection of WM microstructure. Quantitative relaxometry, an alternative method for characterizing WM microstructural changes, is based on molecular interactions associated with the magnetic relaxation of protons. In a longitudinal study of 34 infant non-human primates (NHP) (Macaca mulatta) across the first year of life, we implement a novel, high-resolution, T1-weighted MPnRAGE sequence to examine WM trajectories of the longitudinal relaxation rate (qR1) in relation to DTI metrics and gestational age at scan. To the best of our knowledge, this is the first study to assess developmental WM trajectories in NHPs using quantitative relaxometry and the first to directly compare DTI and relaxometry metrics during infancy. We demonstrate that qR1 exhibits robust logarithmic growth, unfolding in a posterior-anterior and medial-lateral fashion, similar to DTI metrics. On a within-subject level, DTI metrics and qR1 are highly correlated, but are largely unrelated on a between-subject level. Unlike DTI metrics, gestational age at birth (time in utero) is a strong predictor of early postnatal qR1 levels. Whereas individual differences in DTI metrics are maintained across the first year of life, this is not the case for qR1. These results point to the similarities and differences in using quantitative relaxometry and DTI in developmental studies, providing a basis for future studies to characterize the unique processes that these measures reflect at the cellular and molecular level.
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Affiliation(s)
- Jason F Moody
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, United States.
| | - Nakul Aggarwal
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Boulevard, Madison, WI 53719, United States
| | - Douglas C Dean
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, United States; Department of Pediatrics, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI 53792, United States; Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI 53705, United States
| | - Do P M Tromp
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Boulevard, Madison, WI 53719, United States
| | - Steve R Kecskemeti
- Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI 53705, United States
| | - Jonathan A Oler
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Boulevard, Madison, WI 53719, United States
| | - Ned H Kalin
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Boulevard, Madison, WI 53719, United States
| | - Andrew L Alexander
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, United States; Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Boulevard, Madison, WI 53719, United States; Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI 53705, United States
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20
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Abstract
PURPOSE The mechanism underlying cancer heterogeneity and plasticity remains elusive, in spite of the fact that multiple hypotheses have been put forward. We intended to clarify this heterogeneity in uveal melanoma (UM) by looking for evidence of cancer stem cell involvement and a potential role of ZEB1 in cancer cell plasticity. METHODS Spheroids derived from human UM cells as well as xenograft tumors in nude mice were dissected for signs of heterogeneity and plasticity. Two human UM cell lines were studied: the epithelioid type C918 cell line and the spindle type OCM1 cell line. We knocked down ZEB1 in both cell lines to investigate its involvement in the regulation of stem-like cell formation and vascularization by qRT-PCR, immunohistochemistry, flow cytometry, electrophoretic mobility shift assay (EMSA) and chromatin immunoprecipitation (ChIP) assays. RESULTS We found that a small side population (SP) in OCM1 showed stem cell-like properties such as heterogeneity, remote dissemination and nuclear dye exclusion after spheroid formation in vitro. ZEB1 regulated UM stem cell generation indirectly by promoting cell proliferation to form large size tumors in vivo and spheroid in vitro, and directly by binding to stemness genes such as TERT and ABCB1. In addition, we found that ZEB1 participates in vasculogenic mimicry system formation through the regulation of CD34 and VE-cadherin expression. CONCLUSIONS From our data we conclude that cancer stem cells may contribute to UM heterogeneity and plasticity and that ZEB1 may play a regulatory role in it.
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Affiliation(s)
- Yao Chen
- Hunan Key Laboratory of Ophthalmology, Eye Center of Xiangya Hospital, Central South University, National Clinical Medical Center for Geriatric Diseases of Xiangya Hospital, Changsha, China
| | - Xiaoqin Lu
- Department of Medicine, James Graham Brown Cancer Center, Birth Defects Center, University of Louisville School of Medicine, Louisville, KY USA
| | - Ling Gao
- Department of Ophthalmology, Second Xiangya Hospital, Central South University, Changsha, China
| | - Douglas C. Dean
- Department of Medicine, James Graham Brown Cancer Center, Birth Defects Center, University of Louisville School of Medicine, Louisville, KY USA
| | - Yongqing Liu
- Department of Medicine, James Graham Brown Cancer Center, Birth Defects Center, University of Louisville School of Medicine, Louisville, KY USA
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21
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Song Y, Lally PJ, Yanez Lopez M, Oeltzschner G, Nebel MB, Gagoski B, Kecskemeti S, Hui SCN, Zöllner HJ, Shukla D, Arichi T, De Vita E, Yedavalli V, Thayyil S, Fallin D, Dean DC, Grant PE, Wisnowski JL, Edden RAE. Edited magnetic resonance spectroscopy in the neonatal brain. Neuroradiology 2022; 64:217-232. [PMID: 34654960 PMCID: PMC8887832 DOI: 10.1007/s00234-021-02821-9] [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] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 09/20/2021] [Indexed: 10/20/2022]
Abstract
J-difference-edited spectroscopy is a valuable approach for the detection of low-concentration metabolites with magnetic resonance spectroscopy (MRS). Currently, few edited MRS studies are performed in neonates due to suboptimal signal-to-noise ratio, relatively long acquisition times, and vulnerability to motion artifacts. Nonetheless, the technique presents an exciting opportunity in pediatric imaging research to study rapid maturational changes of neurotransmitter systems and other metabolic systems in early postnatal life. Studying these metabolic processes is vital to understanding the widespread and rapid structural and functional changes that occur in the first years of life. The overarching goal of this review is to provide an introduction to edited MRS for neonates, including the current state-of-the-art in editing methods and editable metabolites, as well as to review the current literature applying edited MRS to the neonatal brain. Existing challenges and future opportunities, including the lack of age-specific reference data, are also discussed.
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Affiliation(s)
- Yulu Song
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.,F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Peter J Lally
- Department of Brain Sciences, Imperial College London, London, UK
| | - Maria Yanez Lopez
- Center for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Georg Oeltzschner
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.,F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Mary Beth Nebel
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Borjan Gagoski
- Department of Radiology, Division of Neuroradiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.,Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, USA
| | | | - Steve C N Hui
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.,F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Helge J Zöllner
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.,F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Deepika Shukla
- Centre for Perinatal Neuroscience, Department of Brain Sciences, Imperial College London, London, UK
| | - Tomoki Arichi
- Center for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.,Department of Bioengineering, Imperial College London, South Kensington Campus, London, UK
| | - Enrico De Vita
- Center for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.,Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, St Thomas's Hospital, Westminster Bridge Road, Lambeth Wing, 3rd Floor, London, SE1 7EH, UK
| | - Vivek Yedavalli
- Division of Neuroradiology, Park 367G, The Johns Hopkins University School of Medicine, 600 N. Wolfe St. B-112 D, Baltimore, MD, 21287, USA
| | - Sudhin Thayyil
- Centre for Perinatal Neuroscience, Department of Brain Sciences, Imperial College London, London, UK
| | - Daniele Fallin
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins University, Baltimore, USA.,Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
| | - Douglas C Dean
- Waisman Center, University of WI-Madison, Madison, WI, 53705, USA.,Department of Pediatrics, Division of Neonatology and Newborn Nursery, University of WI-Madison, School of Medicine and Public Health, Madison, WI, 53705, USA.,Department of Medical Physics, University of WI-Madison, School of Medicine and Public Health, Madison, WI, 53705, USA
| | - P Ellen Grant
- Department of Radiology, Division of Neuroradiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.,Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, USA.,Department of Medicine, Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jessica L Wisnowski
- Children's Hospital Los Angeles, Los Angeles, CA, 90027, USA.,Department of Radiology and Fetal and Neonatal Institute, CHLA Division of Neonatology, Department of Pediatrics, Children's Hospital of Los Angeles, University of Southern California, Los Angeles, CA, 90033, USA
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA. .,F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA. .,Division of Neuroradiology, Park 367G, The Johns Hopkins University School of Medicine, 600 N. Wolfe St. B-112 D, Baltimore, MD, 21287, USA.
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22
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Rosenkranz MA, Dean DC, Bendlin BB, Jarjour NN, Esnault S, Zetterberg H, Heslegrave A, Evans MD, Davidson RJ, Busse WW. Neuroimaging and biomarker evidence of neurodegeneration in asthma. J Allergy Clin Immunol 2022; 149:589-598.e6. [PMID: 34536414 PMCID: PMC8821112 DOI: 10.1016/j.jaci.2021.09.010] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 08/19/2021] [Accepted: 09/07/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND Epidemiologic studies have shown that Alzheimer's disease (AD) and related dementias (ADRD) are seen more frequently with asthma, especially with greater asthma severity or exacerbation frequency. OBJECTIVE To examine the changes in brain structure that may underlie this phenomenon, we examined diffusion-weighted magnetic resonance imaging (dMRI) and blood-based biomarkers of AD (phosphorylated tau 181, p-Tau181), neurodegeneration (neurofilament light chain, NfL), and glial activation (glial fibrillary acidic protein, GFAP). METHODS dMRI data were obtained in 111 individuals with asthma, ranging in disease severity from mild to severe, and 135 healthy controls. Regression analyses were used to test the relationships between asthma severity and neuroimaging measures, as well as AD pathology, neurodegeneration, and glial activation, indexed by plasma p-Tau181, NfL, and GFAP, respectively. Additional relationships were tested with cognitive function. RESULTS Asthma participants had widespread and large-magnitude differences in several dMRI metrics, which were indicative of neuroinflammation and neurodegeneration, and which were robustly associated with GFAP and, to a lesser extent, NfL. The AD biomarker p-Tau181 was only minimally associated with neuroimaging outcomes. Further, asthma severity was associated with deleterious changes in neuroimaging outcomes, which in turn were associated with slower processing speed, a test of cognitive performance. CONCLUSIONS Asthma, particularly when severe, is associated with characteristics of neuroinflammation and neurodegeneration, and may be a potential risk factor for neural injury and cognitive dysfunction. There is a need to determine how asthma may affect brain health and whether treatment directed toward characteristics of asthma associated with these risks can mitigate these effects.
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Affiliation(s)
- Melissa A Rosenkranz
- Department of Psychiatry, University of Wisconsin-Madison, Madison, Wisc; Center for Healthy Minds, University of Wisconsin-Madison, Madison, Wisc.
| | - Douglas C Dean
- Department of Pediatrics, University of Wisconsin-Madison, Madison, Wisc; Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisc; Waisman Center, University of Wisconsin-Madison, Madison, Wisc
| | - Barbara B Bendlin
- Department of Medicine, University of Wisconsin-Madison, Madison, Wisc; Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, Madison, Wisc
| | - Nizar N Jarjour
- Department of Medicine, University of Wisconsin-Madison, Madison, Wisc
| | - Stephane Esnault
- Department of Medicine, University of Wisconsin-Madison, Madison, Wisc
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom; UK Dementia Research Institute at UCL, London, United Kingdom
| | | | - Michael D Evans
- Biostatistical Design and Analysis Center, Clinical and Translational Science Institute, University of Minnesota, Minneapolis, Minn
| | - Richard J Davidson
- Department of Psychiatry, University of Wisconsin-Madison, Madison, Wisc; Center for Healthy Minds, University of Wisconsin-Madison, Madison, Wisc; Department of Psychology, University of Wisconsin-Madison, Madison, Wisc
| | - William W Busse
- Department of Medicine, University of Wisconsin-Madison, Madison, Wisc
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23
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Motovylyak A, Vogt NM, Adluru N, Ma Y, Wang R, Oh JM, Kecskemeti SR, Alexander AL, Dean DC, Gallagher CL, Sager MA, Hermann BP, Rowley HA, Johnson SC, Asthana S, Bendlin BB, Okonkwo OC. Age-related differences in white matter microstructure measured by advanced diffusion MRI in healthy older adults at risk for Alzheimer's disease. Aging Brain 2022; 2:100030. [PMID: 36908893 PMCID: PMC9999444 DOI: 10.1016/j.nbas.2022.100030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 11/12/2021] [Accepted: 01/06/2022] [Indexed: 11/19/2022] Open
Abstract
Neurite orientation dispersion and density imaging (NODDI) is an advanced diffusion imaging technique, which can detect more distinct microstructural features compared to conventional Diffusion Tensor Imaging (DTI). NODDI allows the signal to be divided into multiple water compartments and derive measures for orientation dispersion index (ODI), neurite density index (NDI) and volume fraction of isotropic diffusion compartment (FISO). This study aimed to investigate which diffusion metric-fractional anisotropy (FA), mean diffusivity (MD), NDI, ODI, or FISO-is most influenced by aging and reflects cognitive function in a population of healthy older adults at risk for Alzheimer's disease (AD). Age was significantly associated with all but one diffusion parameters and regions of interest. NDI and MD in the cingulate region adjacent to the cingulate cortex showed a significant association with a composite measure of Executive Function and was proven to partially mediate the relationship between aging and Executive Function decline. These results suggest that both DTI and NODDI parameters are sensitive to age-related differences in white matter regions vulnerable to aging, particularly among older adults at risk for AD.
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Affiliation(s)
- Alice Motovylyak
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53792, USA
| | - Nicholas M. Vogt
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53792, USA
| | - Nagesh Adluru
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin, 1500 Highland Ave, Madison, WI 53705, USA
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53792, USA
| | - Yue Ma
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53792, USA
| | - Rui Wang
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53792, USA
- The Swedish School of Sport and Health Science, GIH, Lidingövägen 1, Box 5626, SE-11486 Stockholm, Sweden
| | - Jennifer M. Oh
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53792, USA
| | - Steven R. Kecskemeti
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin, 1500 Highland Ave, Madison, WI 53705, USA
| | - Andrew L. Alexander
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin, 1500 Highland Ave, Madison, WI 53705, USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, 1111 Highland Ave, Madison, WI 53705, USA
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, 6001 Research Park Blvd, Madison, WI 53705, USA
| | - Douglas C. Dean
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin, 1500 Highland Ave, Madison, WI 53705, USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, 1111 Highland Ave, Madison, WI 53705, USA
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, 1111 Highland Ave, Madison, WI 53705, USA
| | - Catherine L. Gallagher
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53792, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, 2500 Overlook Terrace, Madison, WI 53705, USA
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, 1111 Highland Ave, Madison, WI 53705, USA
| | - Mark A. Sager
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53792, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, 610 Walnut St Suite 957, Madison, WI 53726, USA
| | - Bruce P. Hermann
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53792, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, 610 Walnut St Suite 957, Madison, WI 53726, USA
| | - Howard A. Rowley
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53792, USA
| | - Sterling C. Johnson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53792, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, 2500 Overlook Terrace, Madison, WI 53705, USA
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53792, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, 2500 Overlook Terrace, Madison, WI 53705, USA
| | - Barbara B. Bendlin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53792, USA
| | - Ozioma C. Okonkwo
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI 53792, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, 2500 Overlook Terrace, Madison, WI 53705, USA
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24
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Zhou X, Planalp EM, Heinrich L, Pletcher C, DiPiero M, Alexander AL, Litovsky RY, Dean DC. Inhibitory Control in Children 4-10 Years of Age: Evidence From Functional Near-Infrared Spectroscopy Task-Based Observations. Front Hum Neurosci 2022; 15:798358. [PMID: 35046786 PMCID: PMC8762317 DOI: 10.3389/fnhum.2021.798358] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 12/13/2021] [Indexed: 12/22/2022] Open
Abstract
Executive function (EF) is essential to child development, with associated skills beginning to emerge in the first few years of life and continuing to develop into adolescence and adulthood. The prefrontal cortex (PFC), which follows a neurodevelopmental timeline similar to EF, plays an important role in the development of EF. However, limited research has examined prefrontal function in young children due to limitations of currently available neuroimaging techniques such as functional resonance magnetic imaging (fMRI). The current study developed and applied a multimodal Go/NoGo task to examine the EF component of inhibitory control in children 4-10 years of age. Cortical activity was measured using a non-invasive and child-friendly neuroimaging technique - functional near-infrared spectroscopy (fNIRS). Children's response accuracy and reaction times were captured during the fNIRS session and compared with responses obtained using the standardized assessments from NIH Toolbox cognition battery. Results showed significant correlations between the behavioral measures during the fNIRS session and the standardized EF assessments, in line with our expectations. Results from fNIRS measures demonstrated a significant, age-independent effect of inhibitory control (IC) in the right PFC (rPFC), and an age-dependent effect in the left orbitofrontal cortex (lOFC), consistent with results in previous studies using fNIRS and fMRI. Thus, the new task designed for fNIRS was suitable for examining IC in young children, and results showed that fNIRS measures can reveal prefrontal IC function.
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Affiliation(s)
- Xin Zhou
- Waisman Center, University of Wisconsin–Madison, Madison, WI, United States
| | | | - Lauren Heinrich
- Waisman Center, University of Wisconsin–Madison, Madison, WI, United States
| | - Colleen Pletcher
- Waisman Center, University of Wisconsin–Madison, Madison, WI, United States
| | - Marissa DiPiero
- Waisman Center, University of Wisconsin–Madison, Madison, WI, United States
- Neuroscience Training Program, University of Wisconsin–Madison, Madison, WI, United States
| | - Andrew L. Alexander
- Waisman Center, University of Wisconsin–Madison, Madison, WI, United States
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
- Department of Medical Physics, University of Wisconsin–Madison, Madison, WI, United States
| | - Ruth Y. Litovsky
- Waisman Center, University of Wisconsin–Madison, Madison, WI, United States
- Department of Medical Physics, University of Wisconsin–Madison, Madison, WI, United States
- Division of Otolaryngology, Department of Surgery, University of Wisconsin–Madison, Madison, WI, United States
| | - Douglas C. Dean
- Waisman Center, University of Wisconsin–Madison, Madison, WI, United States
- Department of Communication Sciences and Disorders, University of Wisconsin–Madison, Madison, WI, United States
- Division of Neonatology & Newborn Nursery, Department of Pediatrics, University of Wisconsin–Madison, Madison, WI, United States
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Mercer JS, Erickson-Owens DA, Deoni SC, Dean DC, Tucker R, Parker AB, Joelson S, Mercer EN, Collins J, Padbury JF. The Effects of Delayed Cord Clamping on 12-Month Brain Myelin Content and Neurodevelopment: A Randomized Controlled Trial. Am J Perinatol 2022; 39:37-44. [PMID: 32702760 PMCID: PMC9800052 DOI: 10.1055/s-0040-1714258] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
OBJECTIVE This study aimed to determine if delayed cord clamping (DCC) affected brain myelin water volume fraction (VFm) and neurodevelopment in term infants. STUDY DESIGN This was a single-blinded randomized controlled trial of healthy pregnant women with term singleton fetuses randomized at birth to either immediate cord clamping (ICC) (≤ 20 seconds) or DCC (≥ 5 minutes). Follow-up at 12 months of age consisted of blood work for serum iron indices and lead levels, a nonsedated magnetic resonance imaging (MRI), followed within the week by neurodevelopmental testing. RESULTS At birth, 73 women were randomized into one of two groups: ICC (the usual practice) or DCC (the intervention). At 12 months, among 58 active participants, 41 (80%) had usable MRIs. There were no differences between the two groups on maternal or infant demographic variables. At 12 months, infants who had DCC had increased white matter brain growth in regions localized within the right and left internal capsules, the right parietal, occipital, and prefrontal cortex. Gender exerted no difference on any variables. Developmental testing (Mullen Scales of Early Learning, nonverbal, and verbal composite scores) was not significantly different between the two groups. CONCLUSION At 12 months of age, infants who received DCC had greater myelin content in important brain regions involved in motor function, visual/spatial, and sensory processing. A placental transfusion at birth appeared to increase myelin content in the early developing brain. KEY POINTS · DCC resulted in higher hematocrits in newborn period.. · DCC appears to increase myelin at 12 months.. · Gender did not influence study outcomes..
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Affiliation(s)
- Judith S. Mercer
- College of Nursing, University of Rhode Island, Kingston, Rhode Island,Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, Rhode Island,Pediatrics, Alpert School of Medicine, Brown University, Providence, Rhode Island
| | - Debra A. Erickson-Owens
- College of Nursing, University of Rhode Island, Kingston, Rhode Island,Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, Rhode Island
| | - Sean C.L. Deoni
- Advanced Baby Imaging Lab, Memorial Hospital of Rhode Island, Pawtucket, Rhode Island,Maternal, Neonatal, and Child Health, Discovery and Tools, Bill and Melinda Gates Foundation, Munirka, New Delhi, India
| | - Douglas C. Dean
- Department of Pediatrics, University of Wisconsin, Madison, Wisconsin,Department of Medical Physics, University of Wisconsin, Madison, Wisconsin,Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin, Madison, Wisconsin
| | - Richard Tucker
- Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, Rhode Island
| | - Ashley B. Parker
- Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, Rhode Island
| | - Sarah Joelson
- Advanced Baby Imaging Lab, Memorial Hospital of Rhode Island, Pawtucket, Rhode Island
| | - Emily N. Mercer
- Advanced Baby Imaging Lab, Memorial Hospital of Rhode Island, Pawtucket, Rhode Island
| | - Jennifer Collins
- Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, Rhode Island
| | - James F. Padbury
- Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, Rhode Island,Pediatrics, Alpert School of Medicine, Brown University, Providence, Rhode Island
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Vogt NM, Hunt JFV, Adluru N, Ma Y, Van Hulle CA, Dean DC, Kecskemeti SR, Chin NA, Carlsson CM, Asthana S, Johnson SC, Kollmorgen G, Batrla R, Wild N, Buck K, Zetterberg H, Alexander AL, Blennow K, Bendlin BB. Interaction of amyloid and tau on cortical microstructure in cognitively unimpaired adults. Alzheimers Dement 2022; 18:65-76. [PMID: 33984184 PMCID: PMC8589921 DOI: 10.1002/alz.12364] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 03/31/2021] [Accepted: 04/12/2021] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Neurite orientation dispersion and density imaging (NODDI), a multi-compartment diffusion-weighted imaging (DWI) model, may be useful for detecting early cortical microstructural alterations in Alzheimer's disease prior to cognitive impairment. METHODS Using neuroimaging (NODDI and T1-weighted magnetic resonance imaging [MRI]) and cerebrospinal fluid (CSF) biomarker data (measured using Elecsys® CSF immunoassays) from 219 cognitively unimpaired participants, we tested the main and interactive effects of CSF amyloid beta (Aβ)42 /Aβ40 and phosphorylated tau (p-tau) on cortical NODDI metrics and cortical thickness, controlling for age, sex, and apolipoprotein E ε4. RESULTS We observed a significant CSF Aβ42 /Aβ40 × p-tau interaction on cortical neurite density index (NDI), but not orientation dispersion index or cortical thickness. The directionality of these interactive effects indicated: (1) among individuals with lower CSF p-tau, greater amyloid burden was associated with higher cortical NDI; and (2) individuals with greater amyloid and p-tau burden had lower cortical NDI, consistent with cortical neurodegenerative changes. DISCUSSION NDI is a particularly sensitive marker for early cortical changes that occur prior to gross atrophy or development of cognitive impairment.
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Affiliation(s)
- Nicholas M. Vogt
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Jack F. V. Hunt
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Nagesh Adluru
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Yue Ma
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Carol A. Van Hulle
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Douglas C. Dean
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Steven R. Kecskemeti
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Nathaniel A. Chin
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Cynthia M. Carlsson
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Sanjay Asthana
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | | | - Richard Batrla
- Roche Diagnostics International AG, Rotkreuz, Switzerland
| | | | | | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at University College London, London, UK
| | - Andrew L. Alexander
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Barbara B. Bendlin
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
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Luo Z, Adluru N, Dean DC, Alexander AL, Goldsmith HH. Genetic and environmental influences of variation in diffusion MRI measures of white matter microstructure. Brain Struct Funct 2022; 227:131-144. [PMID: 34585302 PMCID: PMC8741731 DOI: 10.1007/s00429-021-02393-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 06/09/2020] [Accepted: 09/16/2021] [Indexed: 01/03/2023]
Abstract
Quantitative neuroimaging studies in twin samples can investigate genetic contributions to brain structure and microstructure. Diffusion tensor imaging (DTI) studies with twin samples have shown moderate to high heritability in white matter microstructure. This study investigates the genetic and environmental contributions of another widely used diffusion MRI model not yet applied to twin studies, neurite orientation dispersion and density imaging (NODDI). The NODDI model is a multicompartment model of the diffusion-weighted MRI signal, providing estimates of neurite density (ND) and the orientation dispersion index (ODI). A cohort of monozygotic (MZ) and same-sex dizygotic (DZ) twins (N = 460 individuals) between 13 and 24 years of age were scanned with a multi-shell diffusion weighted imaging protocol. Select white matter (WM) regions of interest (ROI) were extracted. Biometric structural equation modeling estimated the relative contributions from additive genetic (A) and common (C) and unique environmental (E) factors. Genetic factors for the NODDI measures accounted for 91% and 65% of the variation of global ND and ODI, respectively, compared with 83% for FA. We observed higher heritability for ND than both FA and ODI in 25 of 30 discrete white matter regions that we examined, suggesting ND may be more sensitive to underlying genetic sources of variation. This study demonstrated that genetic factors play a key role in the development of white matter microstructure using both DTI and NODDI.
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Affiliation(s)
- Zhan Luo
- Waisman Center, University of Wisconsin–Madison, Madison, WI, USA, 53705,Neuroscience Training Program, University of Wisconsin–Madison, Madison, WI, USA, 53705
| | - Nagesh Adluru
- Waisman Center, University of Wisconsin–Madison, Madison, WI, USA, 53705
| | - Douglas C. Dean
- Waisman Center, University of Wisconsin–Madison, Madison, WI, USA, 53705,Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA, 53705,Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA, 53705
| | - Andrew L. Alexander
- Waisman Center, University of Wisconsin–Madison, Madison, WI, USA, 53705,Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA, 53705,Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA, 53705
| | - H. Hill Goldsmith
- Waisman Center, University of Wisconsin–Madison, Madison, WI, USA, 53705,Department of Psychology, University of Wisconsin–Madison, Madison, WI, USA, 53706
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Bazydlo AM, Zammit MD, Wu M, Lao PJ, Dean DC, Johnson SC, Tudorascu DL, Cohen A, Cody KA, Ances B, Laymon CM, Klunk WE, Zaman S, Handen BL, Hartley SL, Alexander AL, Christian BT. White matter microstructure associations to amyloid burden in adults with Down syndrome. Neuroimage Clin 2021; 33:102908. [PMID: 34902714 PMCID: PMC8672096 DOI: 10.1016/j.nicl.2021.102908] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 10/25/2021] [Accepted: 12/03/2021] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Individuals with Down syndrome (DS) are at an increased risk of developing Alzheimer's Disease (AD). One of the early underlying mechanisms in AD pathology is the accumulation of amyloid protein plaques, which are deposited in extracellular gray matter and signify the first stage in the cascade of neurodegenerative events. AD-related neurodegeneration is also evidenced as microstructural changes in white matter. In this work, we explored the correlation of white matter microstructure with amyloid load to assess amyloid-related neurodegeneration in a cohort of adults with DS. METHODS In this study of 96 adults with DS, the relation of white matter microstructure using diffusion tensor imaging (DTI) and amyloid plaque burden using [11C]PiB PET were examined. The amyloid load (AβL) derived from [11C]PiB was used as a global measure of amyloid burden. AβL and DTI measures were compared using tract-based spatial statistics (TBSS) and corrected for imaging site and chronological age. RESULTS TBSS of the DTI maps showed widespread age-by-amyloid interaction with both fractional anisotropy (FA) and mean diffusivity (MD). Further, diffuse negative association of FA and positive association of MD with amyloid were observed. DISCUSSION These findings are consistent with the white matter microstructural changes associated with AD disease progression in late onset AD in non-DS populations.
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Affiliation(s)
- Austin M Bazydlo
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
| | - Matthew D Zammit
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Minjie Wu
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Patrick J Lao
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Douglas C Dean
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Waisman Center, Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Sterling C Johnson
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Dana L Tudorascu
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Ann Cohen
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Karly A Cody
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Beau Ances
- Washington University, St. Louis, MO, USA
| | - Charles M Laymon
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - William E Klunk
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Shahid Zaman
- Cambridge Intellectual and Developmental Disabilities Research Group, University of Cambridge, Cambridge, United Kingdom
| | | | - Sigan L Hartley
- Waisman Center, Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Andrew L Alexander
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Waisman Center, Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Bradley T Christian
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Waisman Center, Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
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Moody JF, Dean DC, Kecskemeti SR, Blennow K, Zetterberg H, Carlsson CM, Johnson SC, Alexander AL, Bendlin BB. Associations between mean apparent propagator MRI and cerebrospinal fluid markers of AD pathology, neurodegeneration, and glial activation, in cognitively unimpaired adults. Alzheimers Dement 2021. [DOI: 10.1002/alz.053320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Jason F. Moody
- Department of Medical Physics University of Wisconsin‐Madison Madison WI USA
| | - Douglas C. Dean
- Department of Medical Physics University of Wisconsin‐Madison Madison WI USA
- Department of Pediatrics University of Wisconsin‐Madison Madison WI USA
- Waisman Center University of Wisconsin‐Madison Madison WI USA
| | | | - Kaj Blennow
- Clinical Neurochemistry Laboratory Sahlgrenska University Hospital Mölndal Sweden
- Institute of Neuroscience and Physiology Sahlgrenska Academy at the University of Gothenburg Mölndal Sweden
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory Sahlgrenska University Hospital Mölndal Sweden
- UK Dementia Research Institute Fluid Biomarkers Laboratory UK DRI at UCL London United Kingdom
- Department of Neurodegenerative Disease UCL Queen Square Institute of Neurology London United Kingdom
- Department of Psychiatry and Neurochemistry Institute of Neuroscience and Physiology University of Gothenburg Mölndal Sweden
| | - Cynthia M. Carlsson
- Geriatric Research Education and Clinical Center Madison VA Hospital Madison WI USA
- Wisconsin Alzheimer's Disease Research Center University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Sterling C. Johnson
- Geriatric Research Education and Clinical Center William S. Middleton Memorial Veterans Hospital Madison WI USA
- Wisconsin Alzheimer's Disease Research Center University of Wisconsin‐Madison Madison WI USA
| | - Andrew L. Alexander
- Department of Medical Physics University of Wisconsin‐Madison Madison WI USA
- Department of Psychiatry University of Wisconsin‐Madison Madison WI USA
- Waisman Laboratory for Brain Imaging and Behavior University of Wisconsin‐Madison Madison WI USA
| | - Barbara B. Bendlin
- Division of Geriatrics and Gerontology Department of Medicine University of Wisconsin School of Medicine & Public Health Madison WI USA
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Kaplan HJ, Wang W, Piri N, Dean DC. Metabolic rescue of cone photoreceptors in retinitis pigmentosa. Taiwan J Ophthalmol 2021; 11:331-335. [PMID: 35070660 PMCID: PMC8757513 DOI: 10.4103/tjo.tjo_46_21] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Accepted: 10/05/2021] [Indexed: 12/27/2022] Open
Abstract
Retinitis pigmentosa (RP) encompasses a group of inherited retinal dystrophies characterized by the primary degeneration of rod and cone photoreceptors. It is a leading cause of visual disability, with an incidence of ~1 in 7000 persons. Although most RP is nonsyndromic, 20%-30% of patients with RP also have an associated nonocular condition. The gene mutations responsible for RP occur overwhelmingly in rod photoreceptors. Visual loss frequently begins with night blindness in adolescence, followed by concentric visual field loss, reflecting the principal dysfunction of rod photoreceptors. Although the visual disability from rod dysfunction is significant, it is the subsequent loss of central vision later in life due to cone degeneration that is catastrophic. Until recently, the reason for cone dysfunction in RP was unknown. However, it is now recognized that cones degenerate, losing outer segment (OS) synthesis and inner segment (IS) disassembly because of glucose starvation following rod demise. Rod OS phagocytosis by the apical microvilli of retinal pigment epithelium is necessary to transport glucose from the choriocapillaris to the subretinal space. Although cones lose OS with the onset of rod degeneration in RP, regardless of the gene mutation in rods, cone nuclei remain viable for years (i.e. enter cone dormancy) so that therapies aimed at reversing glucose starvation can prevent and/or recover cone function and central vision.
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Affiliation(s)
- Henry J Kaplan
- Department of Ophthalmology, Saint Louis University School of Medicine, Saint Louis, Missouri, USA
| | - Wei Wang
- Department of Ophthalmology and Visual Sciences, University of Louisville Health Sciences Center, Louisville, Kentucky, USA
| | - Niloofar Piri
- Department of Ophthalmology, Saint Louis University School of Medicine, Saint Louis, Missouri, USA
| | - Douglas C Dean
- Department of Medicine, University of Louisville Health Sciences Center, Louisville, Kentucky, USA
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Pedersen WS, Dean DC, Adluru N, Gresham LK, Lee SD, Kelly MP, Mumford JA, Davidson RJ, Schaefer SM. Individual variation in white matter microstructure is related to better recovery from negative stimuli. Emotion 2021; 22:244-257. [PMID: 34591511 DOI: 10.1037/emo0000996] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The uncinate fasciculus is a white matter tract that may facilitate emotion regulation by carrying connections from the prefrontal cortex to regions of the temporal lobe, including the amygdala. Depression and anxiety are associated with reduced uncinate fasciculus fractional anisotropy (FA)-a diffusion tensor imaging measure related to white matter integrity. In the current study, we tested whether FA in the uncinate fasciculus is associated with individual differences in emotional recovery measured with corrugator supercilii electromyography in response to negative, neutral, and positive images in 108 participants from the Midlife in the US (MIDUS; http://midus.wisc.edu) Refresher study. Corrugator activity is linearly associated with changes in affect, and differentiated negative, neutral, and positive emotional responses. Higher uncinate fasciculus FA was associated with lower corrugator activity 4-8 seconds after negative image offset, indicative of better recovery from negative provocation. In an exploratory analysis, we found a similar association for the inferior fronto-occipital, inferior longitudinal and superior longitudinal fasciculi. These results suggest that the microstructural features of the uncinate fasciculus, and these other association white matter fibers, may support emotion regulatory processes with greater white matter integrity facilitating healthier affective functioning. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Surgent O, Dean DC, Alexander AL, Dadalko OI, Guerrero-Gonzalez J, Taylor D, Skaletski E, Travers BG. Neurobiological and behavioural outcomes of biofeedback-based training in autism: a randomized controlled trial. Brain Commun 2021; 3:fcab112. [PMID: 34250479 PMCID: PMC8254423 DOI: 10.1093/braincomms/fcab112] [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] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 03/26/2021] [Accepted: 04/28/2021] [Indexed: 11/13/2022] Open
Abstract
The human brain has demonstrated the power to structurally change as a result of movement-based interventions. However, it is unclear whether these structural brain changes differ in autistic individuals compared to non-autistic individuals. The purpose of the present study was to pilot a randomized controlled trial to investigate brain, balance, autism symptom severity and daily living skill changes that result from a biofeedback-based balance intervention in autistic adolescents (13-17 years old). Thirty-four autistic participants and 28 age-matched non-autistic participants underwent diagnostic testing and pre-training assessment (neuroimaging, cognitive, autism symptom severity and motor assessments) and were then randomly assigned to 6 weeks of a balance-training intervention or a sedentary-control condition. After the 6 weeks, neuroimaging, symptom severity and motor assessments were repeated. Results found that both the autistic and non-autistic participants demonstrated similar and significant increases in balance times with training. Furthermore, individuals in the balance-training condition showed significantly greater improvements in postural sway and reductions in autism symptom severity compared to individuals in the control condition. Daily living scores did not change with training, nor did we observe hypothesized changes to the microstructural properties of the corticospinal tract. However, follow-up voxel-based analyses found a wide range of balance-related structures that showed changes across the brain. Many of these brain changes were specific to the autistic participants compared to the non-autistic participants, suggesting distinct structural neuroplasticity in response to balance training in autistic participants. Altogether, these findings suggest that biofeedback-based balance training may target postural stability challenges, reduce core autism symptoms and influence neurobiological change. Future research is encouraged to examine the superior cerebellar peduncle in response to balance training and symptom severity changes in autistic individuals, as the current study produced overlapping findings in this brain region.
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Affiliation(s)
- Olivia Surgent
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Douglas C Dean
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
- Pediatrics, University of Wisconsin-Madison, Madison, WI 53792, USA
- Medical Physics, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Andrew L Alexander
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
- Medical Physics, University of Wisconsin-Madison, Madison, WI 53705, USA
- Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
| | - Olga I Dadalko
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Jose Guerrero-Gonzalez
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
- Medical Physics, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Desiree Taylor
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
- Occupational Therapy Program in Kinesiology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Emily Skaletski
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
- Occupational Therapy Program in Kinesiology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Brittany G Travers
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
- Occupational Therapy Program in Kinesiology, University of Wisconsin-Madison, Madison, WI 53706, USA
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Gajawelli N, Deoni SCL, Ramsy N, Dean DC, O'Muircheartaigh J, Nelson MD, Lepore N, Coulon O. Developmental changes of the central sulcus morphology in young children. Brain Struct Funct 2021; 226:1841-1853. [PMID: 34043074 DOI: 10.1007/s00429-021-02292-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 07/09/2020] [Accepted: 05/06/2021] [Indexed: 12/01/2022]
Abstract
The human brain grows rapidly in early childhood, reaching 95% of its final volume by age 6. Understanding brain growth in childhood is important both to answer neuroscience questions about anatomical changes in development, and as a comparison metric for neurological disorders. Metrics for neuroanatomical development including cortical measures pertaining to the sulci can be instrumental in early diagnosis, monitoring, and intervention for neurological diseases. In this paper, we examine the development of the central sulcus in children aged 12-60 months from structural magnetic resonance images. The central sulcus is one of the earliest sulci to develop at the fetal stage and is implicated in diseases such as Attention Deficit Hyperactive Disorder and Williams syndrome. We investigate the relationship between the changes in the depth of the central sulcus with respect to age. In our results, we observed a pattern of depth present early on, that had been previously observed in adults. Results also reveal the presence of a rightward depth asymmetry at 12 months of age at a location related to orofacial movements. That asymmetry disappears gradually, mostly between 12 and 24 months, and we suggest that it is related to the development of language skills.
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Affiliation(s)
- Niharika Gajawelli
- CIBORG Laboratory, Department of Radiology, Children's Hospital of Los Angeles, 4650 Sunset Blvd, Los Angeles, CA, 90027, USA
| | - Sean C L Deoni
- Advanced Baby Imaging Lab, Hasbro Children's Hospital, 593 Eddy Street Ground Level, Providence, RI, 02903, USA
- Pediatrics and Radiology, Warren Alpert Medical School, Brown University, 222 Richmond St, Providence, RI, 02903, USA
- Maternal, Newborn & Child Health Discovery & Tools at the Bill and Melinda Gates Foundation, 500 5th Ave N, Seattle, WA, 98109, USA
| | - Natalie Ramsy
- Carle Illinois College of Medicine, 807 S Wright St, Champaign, IL, 61820, USA
| | - Douglas C Dean
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, 1500 Highland Ave, Madison, WI, 53705, USA
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI, 53792, USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, 750 Highland Ave, Madison, WI, 53705, USA
| | - Jonathan O'Muircheartaigh
- Department for Forensic and Neurodevelopmental Sciences, Centre for Neuroimaging Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 2nd FloorDenmark Hill, London, UK
- Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, 4th Floor, Lambeth Wing St. Thomas' Hospital Westminster Bridge Road SE17EH, London, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, New Hunt's House, Guy's Campus, London, SE1 1UL, UK
| | - Marvin D Nelson
- CIBORG Laboratory, Department of Radiology, Children's Hospital of Los Angeles, 4650 Sunset Blvd, Los Angeles, CA, 90027, USA
- Department of Radiology, Keck School of Medicine, University of Southern California, 1500 San Pablo Street, Los Angeles, CA, 90033, USA
| | - Natasha Lepore
- CIBORG Laboratory, Department of Radiology, Children's Hospital of Los Angeles, 4650 Sunset Blvd, Los Angeles, CA, 90027, USA.
- Department of Radiology, Keck School of Medicine, University of Southern California, 1500 San Pablo Street, Los Angeles, CA, 90033, USA.
| | - Olivier Coulon
- Faculty of Medicine, Institut de Neurosciences de la Timone, Aix-Marseille University, CNRS UMR7289, 27, boulevard Jean Moulin, 13005, Marseille, France
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Dean DC, Madrid A, Planalp EM, Moody JF, Papale LA, Knobel KM, Wood EK, McAdams RM, Coe CL, Hill Goldsmith H, Davidson RJ, Alisch RS, Kling PJ. Cord blood DNA methylation modifications in infants are associated with white matter microstructure in the context of prenatal maternal depression and anxiety. Sci Rep 2021; 11:12181. [PMID: 34108589 PMCID: PMC8190282 DOI: 10.1038/s41598-021-91642-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 05/17/2021] [Indexed: 12/12/2022] Open
Abstract
Maternal and environmental factors influence brain networks and architecture via both physiological pathways and epigenetic modifications. In particular, prenatal maternal depression and anxiety symptoms appear to impact infant white matter (WM) microstructure, leading us to investigate whether epigenetic modifications (i.e., DNA methylation) contribute to these WM differences. To determine if infants of women with depression and anxiety symptoms exhibit epigenetic modifications linked to neurodevelopmental changes, 52 umbilical cord bloods (CBs) were profiled. We observed 219 differentially methylated genomic positions (DMPs; FDR p < 0.05) in CB that were associated with magnetic resonance imaging measures of WM microstructure at 1 month of age and in regions previously described to be related to maternal depression and anxiety symptoms. Genomic characterization of these associated DMPs revealed 143 unique genes with significant relationships to processes involved in neurodevelopment, GTPase activity, or the canonical Wnt signaling pathway. Separate regression models for female (n = 24) and male (n = 28) infants found 142 associated DMPs in females and 116 associated DMPs in males (nominal p value < 0.001, R > 0.5), which were annotated to 98 and 81 genes, respectively. Together, these findings suggest that umbilical CB DNA methylation levels at birth are associated with 1-month WM microstructure.
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Affiliation(s)
- Douglas C Dean
- Department of Pediatrics, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, USA.,Department of Medical Physics, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Waisman Center, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Andy Madrid
- Department of Neurosurgery, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Elizabeth M Planalp
- Waisman Center, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Department of Psychology, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Jason F Moody
- Department of Medical Physics, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Ligia A Papale
- Department of Neurosurgery, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Karla M Knobel
- Waisman Center, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Elizabeth K Wood
- Harlow Center for Biological Psychology, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Ryan M McAdams
- Department of Pediatrics, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, USA
| | - Christopher L Coe
- Waisman Center, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Department of Psychology, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Harlow Center for Biological Psychology, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - H Hill Goldsmith
- Waisman Center, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Department of Psychology, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Richard J Davidson
- Waisman Center, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Department of Psychology, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Center for Healthy Minds, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.,Department of Psychiatry, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Reid S Alisch
- Department of Neurosurgery, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, WI, USA.
| | - Pamela J Kling
- Department of Pediatrics, School of Medicine & Public Health, University of Wisconsin-Madison, Madison, USA
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Guo Y, Lu X, Chen Y, Rendon B, Mitchell RA, Cuatrecasas M, Cortés M, Postigo A, Liu Y, Dean DC. Zeb1 induces immune checkpoints to form an immunosuppressive envelope around invading cancer cells. Sci Adv 2021; 7:7/21/eabd7455. [PMID: 34020945 PMCID: PMC8139582 DOI: 10.1126/sciadv.abd7455] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 03/31/2021] [Indexed: 05/05/2023]
Abstract
The PDL1-PD1 immune checkpoint inhibits T cell activation, and its blockade is effective in a subset of patients. Studies are investigating how checkpoints are hijacked by cancer cells and why most patients remain resistant to immunotherapy. Epithelial mesenchymal transition (EMT), which drives tumor cell invasion via the Zeb1 transcription factor, is linked to immunotherapy resistance. In addition, M2-polarized tumor-associated macrophages (TAMs), which inhibit T cell migration and activation, may also cause immunotherapy resistance. How EMT in invading cancer cells is linked to therapy resistance and events driving TAM M2 polarization are therefore important questions. We show that Zeb1 links these two resistance pathways because it is required for PDL1 expression on invading lung cancer cells, and it also induces CD47 on these invading cells, which drives M2 polarization of adjacent TAMs. Resulting reprogramming of the microenvironment around invading cells shields them from the hostile inflammatory environment surrounding tumors.
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Affiliation(s)
- Yan Guo
- Department of Medicine, Division of Oncology, James Graham Brown Cancer Center, University of Louisville Health Sciences Center, Louisville, KY 40202, USA
- Department of Hematology, The First Affiliated Hospital of Shandong First Medical University, Jinan 250014, China
| | - Xiaoqin Lu
- Department of Medicine, Division of Oncology, James Graham Brown Cancer Center, University of Louisville Health Sciences Center, Louisville, KY 40202, USA
| | - Yao Chen
- Department of Medicine, Division of Oncology, James Graham Brown Cancer Center, University of Louisville Health Sciences Center, Louisville, KY 40202, USA
- Department of Ophthalmology, Xiangya Hospital of Central South University, Changsha, China
| | - Beatriz Rendon
- Department of Surgery, James Graham Brown Cancer Center, University of Louisville Health Sciences Center, Louisville, KY 40202, USA
| | - Robert A Mitchell
- Department of Surgery, James Graham Brown Cancer Center, University of Louisville Health Sciences Center, Louisville, KY 40202, USA
| | - Miriam Cuatrecasas
- Department of Pathology, Centro de Diagnóstico Biomédico (CDB) Hospital Clínic, University of Barcelona, 08036 Barcelona, Spain
| | - Marlies Cortés
- Group of Transcriptional Regulation of Gene Expression, IDIBAPS, and Dept. of Biomedicine, University of Barcelona, 08036 Barcelona, Spain
| | - Antonio Postigo
- Department of Medicine, Division of Oncology, James Graham Brown Cancer Center, University of Louisville Health Sciences Center, Louisville, KY 40202, USA.
- Group of Transcriptional Regulation of Gene Expression, IDIBAPS, and Dept. of Biomedicine, University of Barcelona, 08036 Barcelona, Spain
- ICREA, 08010 Barcelona, Spain
| | - Yongqing Liu
- Department of Medicine, Division of Oncology, James Graham Brown Cancer Center, University of Louisville Health Sciences Center, Louisville, KY 40202, USA.
| | - Douglas C Dean
- Department of Medicine, Division of Oncology, James Graham Brown Cancer Center, University of Louisville Health Sciences Center, Louisville, KY 40202, USA.
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Prigge MBD, Lange N, Bigler ED, King JB, Dean DC, Adluru N, Alexander AL, Lainhart JE, Zielinski BA. A 16-year study of longitudinal volumetric brain development in males with autism. Neuroimage 2021; 236:118067. [PMID: 33878377 PMCID: PMC8489006 DOI: 10.1016/j.neuroimage.2021.118067] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 03/24/2021] [Accepted: 04/12/2021] [Indexed: 12/16/2022] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder with unknown brain etiology. Our knowledge to date about structural brain development across the lifespan in ASD comes mainly from cross-sectional studies, thereby limiting our understanding of true age effects within individuals with the disorder that can only be gained through longitudinal research. The present study describes FreeSurfer-derived volumetric findings from a longitudinal dataset consisting of 607 T1-weighted magnetic resonance imaging (MRI) scans collected from 105 male individuals with ASD (349 MRIs) and 125 typically developing male controls (258 MRIs). Participants were six to forty-five years of age at their first scan, and were scanned up to 5 times over a period of 16 years (average inter-scan interval of 3.7 years). Atypical age-related volumetric trajectories in ASD included enlarged gray matter volume in early childhood that approached levels of the control group by late childhood, an age-related increase in ventricle volume resulting in enlarged ventricles by early adulthood and reduced corpus callosum age-related volumetric increase resulting in smaller corpus callosum volume in adulthood. Larger corpus callosum volume was related to a lower (better) ADOS score at the most recent study visit for the participants with ASD. These longitudinal findings expand our knowledge of volumetric brain-based abnormalities in males with ASD, and highlight the need to continue to examine brain structure across the lifespan and well into adulthood.
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Affiliation(s)
- Molly B D Prigge
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA.
| | - Nicholas Lange
- Department of Psychiatry, Harvard School of Medicine, Boston, MA, USA
| | - Erin D Bigler
- Department of Psychology and Neuroscience Center, Brigham Young University, Provo, UT, USA; Department of Neurology, University of Utah, Salt Lake City, UT USA; Department of Psychiatry, University of Utah, Salt Lake City, UT USA; Department of Neurology, University of California-Davis, Davis, CA USA
| | - Jace B King
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
| | - Douglas C Dean
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA; Department of Pediatrics, University of Wisconsin-Madison, Madison, WI, USA; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
| | - Nagesh Adluru
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Andrew L Alexander
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA; Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA
| | - Janet E Lainhart
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA; Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA
| | - Brandon A Zielinski
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA; Department of Neurology, University of Utah, Salt Lake City, UT USA; Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
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HashemizadehKolowri SK, Chen RR, Adluru G, Dean DC, Wilde EA, Alexander AL, DiBella EVR. Simultaneous multi-slice image reconstruction using regularized image domain split slice-GRAPPA for diffusion MRI. Med Image Anal 2021; 70:102000. [PMID: 33676098 DOI: 10.1016/j.media.2021.102000] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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: 04/03/2020] [Revised: 01/27/2021] [Accepted: 02/01/2021] [Indexed: 01/18/2023]
Abstract
The main goal of this work is to improve the quality of simultaneous multi-slice (SMS) reconstruction for diffusion MRI. We accomplish this by developing an image domain method that reaps the benefits of both SENSE and GRAPPA-type approaches and enables image regularization in an optimization framework. We propose a new approach termed regularized image domain split slice-GRAPPA (RI-SSG), which establishes an optimization framework for SMS reconstruction. Within this framework, we use a robust forward model to take advantage of both the SENSE model with explicit sensitivity estimations and the SSG model with implicit kernel relationship among coil images. The proposed approach also allows combining of coil images to increase the SNR and enables image domain regularization on estimated coil-combined single slices. We compare the performance of RI-SSG with that of SENSE and SSG using in-vivo diffusion EPI datasets with simulated and actual SMS acquisitions collected on a 3T MR scanner. Reconstructed diffusion-weighted images (DWIs) and the resulting diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) maps are analyzed to evaluate the quantitative and qualitative performance of the three methods. The DWIs reconstructed by RI-SSG are closer to the single-band ground truth images than SENSE and SSG. Specifically, the proposed RI-SSG reduces the normalized root-mean-square-error (nRMSE) against ground truth images by ∼5% and increases the structural similarity index (SSIM) by ∼4% compared to SSG. All three methods produce similar fractional anisotropy (FA) maps using DTI representation, but mean diffusivity (MD) and fiber orientation estimates using RI-SSG are closer to the reference than SENSE and SSG. RI-SSG results in NODDI maps with noticeably smaller errors than those of SENSE and SSG and improves the accuracy of the mean value of orientation dispersion index (ODI) by ∼5% and the mean value of intracellular volume fraction by ∼7% in regions of interest in brain white matter compared to SSG.
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Affiliation(s)
- S K HashemizadehKolowri
- Electrical and Computer Engineering Department, University of Utah, Salt Lake City, UT, USA; Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA.
| | - Rong-Rong Chen
- Electrical and Computer Engineering Department, University of Utah, Salt Lake City, UT, USA
| | - Ganesh Adluru
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA; Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA
| | - Douglas C Dean
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA; Department of Pediatrics, University of Wisconsin-Madison, Madison, WI, USA; Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Elisabeth A Wilde
- Traumatic Brain Injury and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, UT, USA; George E Wahlen VA Medical Center, Salt Lake City, UT, USA
| | - Andrew L Alexander
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA; Waisman Center, University of Wisconsin-Madison, Madison, WI, USA; Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA
| | - Edward V R DiBella
- Electrical and Computer Engineering Department, University of Utah, Salt Lake City, UT, USA; Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA; Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA.
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Aggarwal N, Moody JF, Dean DC, Tromp DPM, Kecskemeti SR, Oler JA, Alexander AL, Kalin NH. Spatiotemporal dynamics of nonhuman primate white matter development during the first year of life. Neuroimage 2021; 231:117825. [PMID: 33549752 DOI: 10.1016/j.neuroimage.2021.117825] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 01/22/2021] [Accepted: 01/27/2021] [Indexed: 11/15/2022] Open
Abstract
White matter (WM) development early in life is a critical component of brain development that facilitates the coordinated function of neuronal pathways. Additionally, alterations in WM have been implicated in various neurodevelopmental disorders, including psychiatric disorders. Because of the need to understand WM development in the weeks immediately following birth, we characterized changes in WM microstructure throughout the postnatal macaque brain during the first year of life. This is a period in primates during which genetic, developmental, and environmental factors may have long-lasting impacts on WM microstructure. Studies in nonhuman primates (NHPs) are particularly valuable as a model for understanding human brain development because of their evolutionary relatedness to humans. Here, 34 rhesus monkeys (23 females, 11 males) were imaged longitudinally at 3, 7, 13, 25, and 53 weeks of age with T1-weighted (MPnRAGE) and diffusion tensor imaging (DTI). With linear mixed-effects (LME) modeling, we demonstrated robust logarithmic growth in FA, MD, and RD trajectories extracted from 18 WM tracts across the brain. Estimated rate of change curves for FA, MD, and RD exhibited an initial 10-week period of exceedingly rapid WM development, followed by a precipitous decline in growth rates. K-means clustering of raw DTI trajectories and rank ordering of LME model parameters revealed distinct posterior-to-anterior and medial-to-lateral gradients in WM maturation. Finally, we found that individual differences in WM microstructure assessed at 3 weeks of age were significantly related to those at 1 year of age. This study provides a quantitative characterization of very early WM growth in NHPs and lays the foundation for future work focused on the impact of alterations in early WM developmental trajectories in relation to human psychopathology.
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Affiliation(s)
- Nakul Aggarwal
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Boulevard, Madison, WI 53719, United States.
| | - Jason F Moody
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, United States
| | - Douglas C Dean
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, United States; Department of Pediatrics, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI 53792, United States; Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI 53705, United States
| | - Do P M Tromp
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Boulevard, Madison, WI 53719, United States
| | - Steve R Kecskemeti
- Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI 53705, United States
| | - Jonathan A Oler
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Boulevard, Madison, WI 53719, United States
| | - Andy L Alexander
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Boulevard, Madison, WI 53719, United States; Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, United States; Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI 53705, United States
| | - Ned H Kalin
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Boulevard, Madison, WI 53719, United States
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Lee SJ, Wang W, Jin L, Lu X, Gao L, Chen Y, Liu T, Emery D, Vukmanic E, Liu Y, Kaplan HJ, Dean DC. Rod photoreceptor clearance due to misfolded rhodopsin is linked to a DAMP-immune checkpoint switch. J Biol Chem 2021; 296:100102. [PMID: 33214223 PMCID: PMC7949052 DOI: 10.1074/jbc.ra120.016053] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 11/13/2020] [Accepted: 11/19/2020] [Indexed: 01/19/2023] Open
Abstract
Chronic endoplasmic reticulum stress resulting from misfolding of the visual pigment rhodopsin (RHO) can lead to loss of rod photoreceptors, which initiates retinitis pigmentosa, characterized initially by diminished nighttime and peripheral vision. Cone photoreceptors depend on rods for glucose transport, which the neurons use for assembly of visual pigment-rich structures; as such, loss of rods also leads to a secondary loss of cone function, diminishing high-resolution color vision utilized for tasks including reading, driving, and facial recognition. If dysfunctional rods could be maintained to continue to serve this secondary cone preservation function, it might benefit patients with retinitis pigmentosa, but the mechanisms by which rods are removed are not fully established. Using pigs expressing mutant RHO, we find that induction of a danger-associated molecular pattern (DAMP) "eat me" signal on the surface of mutant rods is correlated with targeting the live cells for (PrCR) by retinal myeloid cells. Glucocorticoid therapy leads to replacement of this DAMP with a "don't eat me" immune checkpoint on the rod surface and inhibition of PrCR. Surviving rods then continue to promote glucose transport to cones, maintaining their viability.
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Affiliation(s)
- Sang Joon Lee
- Department of Ophthalmology and Visual Sciences, University of Louisville Health Sciences Center, Louisville, Kentucky, USA; Department of Ophthalmology, Kosin University College of Medicine, Seo-gu, Busan, Korea
| | - Wei Wang
- Department of Ophthalmology and Visual Sciences, University of Louisville Health Sciences Center, Louisville, Kentucky, USA
| | - Lei Jin
- Department of Ophthalmology and Visual Sciences, University of Louisville Health Sciences Center, Louisville, Kentucky, USA; Department of Ophthalmology, The Third People's Hospital of Dalian, Dalian Medical University, Dalian, China
| | - Xiaoqin Lu
- Department of Ophthalmology and Visual Sciences, University of Louisville Health Sciences Center, Louisville, Kentucky, USA; Department of Medicine, University of Louisville Health Sciences Center, Louisville, Kentucky, USA
| | - Lei Gao
- Department of Ophthalmology and Visual Sciences, University of Louisville Health Sciences Center, Louisville, Kentucky, USA; Department of Hematology, Xinqiao Hospital, Third Military Medical University, Chongqing, China
| | - Yao Chen
- Department of Ophthalmology and Visual Sciences, University of Louisville Health Sciences Center, Louisville, Kentucky, USA; Department of Ophthalmology, Xiangya Hospital, Central South University, Changsha, China
| | - Tingting Liu
- Department of Ophthalmology and Visual Sciences, University of Louisville Health Sciences Center, Louisville, Kentucky, USA; Department of Ophthalmology, The Third People's Hospital of Dalian, Dalian Medical University, Dalian, China
| | - Douglas Emery
- Department of Ophthalmology and Visual Sciences, University of Louisville Health Sciences Center, Louisville, Kentucky, USA; Department of Medicine, University of Louisville Health Sciences Center, Louisville, Kentucky, USA
| | - Eric Vukmanic
- Department of Ophthalmology and Visual Sciences, University of Louisville Health Sciences Center, Louisville, Kentucky, USA; Department of Medicine, University of Louisville Health Sciences Center, Louisville, Kentucky, USA
| | - Yongqing Liu
- Department of Ophthalmology and Visual Sciences, University of Louisville Health Sciences Center, Louisville, Kentucky, USA; Department of Medicine, University of Louisville Health Sciences Center, Louisville, Kentucky, USA
| | - Henry J Kaplan
- Department of Ophthalmology and Visual Sciences, University of Louisville Health Sciences Center, Louisville, Kentucky, USA
| | - Douglas C Dean
- Department of Ophthalmology and Visual Sciences, University of Louisville Health Sciences Center, Louisville, Kentucky, USA; Department of Medicine, University of Louisville Health Sciences Center, Louisville, Kentucky, USA.
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Patrick AM, Hartley SL, Wu M, Dean DC, Zammit MD, Johnson SC, Tudorascu DL, Cohen A, Cody KA, Laymon CM, Klunk WE, Zaman S, Handen BL, Alexander AL, Christian BT. White matter microstructure and episodic memory in adults with down syndrome: A Tract‐Based Spatial Statistics (TBSS) Study. Alzheimers Dement 2020. [DOI: 10.1002/alz.044673] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Austin M Patrick
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Sigan L Hartley
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Minjie Wu
- University of Pittsburgh School of Medicine Pittsburgh PA USA
| | - Douglas C Dean
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Matthew D Zammit
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | | | | | - Ann Cohen
- University of Pittsburgh School of Medicine Pittsburgh PA USA
| | - Karly Alex Cody
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | | | - William E Klunk
- University of Pittsburgh School of Medicine Pittsburgh PA USA
| | - Shahid Zaman
- University of Cambridge & Cambridgeshire and Peterborough Foundation NHS Trust Cambridge United Kingdom
| | | | - Andrew L Alexander
- University of Wisconsin School of Medicine and Public Health Madison WI USA
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Yang KL, Dean DC, Oh JM, Koscik RL, Ma Y, Kohli A, Chin NA, Carlsson CM, Johnson SC, Asthana S, Zetterberg H, Blennow K, Alexander AL, Bendlin BB. Alzheimer’s pathologic change indexed by CSF B‐amyloid42 associates with longitudinal alterations in myelin content. Alzheimers Dement 2020. [DOI: 10.1002/alz.047629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Kao Lee Yang
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Douglas C Dean
- Waisman Laboratory for Brain Imaging and Behavior University of Wisconsin‐Madison Madison WI USA
| | - Jennifer M Oh
- Wisconsin Alzheimer's Disease Research Center Madison WI USA
| | | | - Yue Ma
- Wisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Akshay Kohli
- Neuroscience Training Program University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Nathaniel A Chin
- Division of Geriatrics and Gerontology University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | - Cynthia M Carlsson
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Sterling C Johnson
- Wisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research Center Madison WI USA
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease UCL Institute of Neurology London United Kingdom
| | - Kaj Blennow
- Institute of Neuroscience and Physiology Department of Psychiatry and Neurochemistry the Sahlgrenska Academy at the University of Gothenburg Mölndal Sweden
| | - Andrew L Alexander
- University of Wisconsin School of Medicine and Public Health Madison WI USA
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Dowe KN, Planalp EM, Dean DC, Alexander AL, Davidson RJ, Goldsmith HH. Early microstructure of white matter associated with infant attention. Dev Cogn Neurosci 2020; 45:100815. [PMID: 32658763 PMCID: PMC7358182 DOI: 10.1016/j.dcn.2020.100815] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [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: 05/07/2019] [Revised: 06/13/2020] [Accepted: 07/01/2020] [Indexed: 12/17/2022] Open
Abstract
Early infancy is characterized by rapid brain development that occurs alongside, and in response to, the development of cognitive and behavioral functions, including attention. Infants' ability to orient and sustain attention to stimuli develops in concert with refinement of the orienting network in frontoparietal regions of the brain. Infants (n = 97) underwent magnetic resonance imaging at one-month of age and data were fit to a diffusion tensor imaging model to calculate fractional anisotropy (FA) and radial diffusivity (RD), as well as to a neurite orientation dispersion and density imaging model to calculate intracellular volume fraction (νic). Infant attention was assessed at six months of age using a dynamic puppet task (Cuevas and Bell, 2014). Infants with higher FA in the corpus callosum and anterior cingulum showed increased orienting behaviors. Our findings indicate that increased microstructure of the white matter tracts in the orienting network may play a role in the early neurodevelopment of attentional orienting behaviors.
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Affiliation(s)
- Kristin N Dowe
- University of Wisconsin-Madison, Department of Psychology, 1202 W Johnson St, Madison, WI, 53706 United States.
| | - Elizabeth M Planalp
- University of Wisconsin-Madison, Department of Psychology, 1202 W Johnson St, Madison, WI, 53706 United States; University of Wisconsin-Madison, Waisman Center, 1500 Highland Ave, Madison, WI, 53705 United States.
| | - Douglas C Dean
- University of Wisconsin-Madison, Waisman Center, 1500 Highland Ave, Madison, WI, 53705 United States; University of Wisconsin-Madison, Department of Medical Physics, 1111 Highland Ave, Madison, WI, 53705 United States.
| | - Andrew L Alexander
- University of Wisconsin-Madison, Waisman Center, 1500 Highland Ave, Madison, WI, 53705 United States; University of Wisconsin-Madison, Department of Medical Physics, 1111 Highland Ave, Madison, WI, 53705 United States.
| | - Richard J Davidson
- University of Wisconsin-Madison, Department of Psychology, 1202 W Johnson St, Madison, WI, 53706 United States; University of Wisconsin-Madison, Waisman Center, 1500 Highland Ave, Madison, WI, 53705 United States; University of Wisconsin-Madison, Center for Healthy Minds, 625 W Washington Ave, Madison, WI, 53703 United States.
| | - H Hill Goldsmith
- University of Wisconsin-Madison, Department of Psychology, 1202 W Johnson St, Madison, WI, 53706 United States; University of Wisconsin-Madison, Waisman Center, 1500 Highland Ave, Madison, WI, 53705 United States.
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Remer J, Dean DC, Chen K, Reiman RA, Huentelman MJ, Reiman EM, Deoni SCL. Longitudinal white matter and cognitive development in pediatric carriers of the apolipoprotein ε4 allele. Neuroimage 2020; 222:117243. [PMID: 32822813 PMCID: PMC7779366 DOI: 10.1016/j.neuroimage.2020.117243] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 07/01/2020] [Accepted: 08/05/2020] [Indexed: 01/14/2023] Open
Abstract
We have previously demonstrated cross-sectional differences in magnetic resonance imaging (MRI) measurements of white matter myelin and gray matter in infants with or without the apolipoprotein ε4 allele, a major genetic risk factor for late-onset Alzheimer's disease (AD). In this study, we sought to compare longitudinal MRI white matter myelin and cognitive-behavioral changes in infants and young children with and without this allele. Serial MRI and cognitive tests were obtained on 223 infants and young children, including 74 ε4 carriers and 149 non-carriers, 2–68 months of age, matched for age, gestational duration, birth weight, sex ratio, maternal age, education, and socioeconomic status. Automated brain mapping algorithms and non-linear mixed models were used to characterize and compare trajectories of white matter myelin and cognitive-behavioral test scores. The APOE ε4 carriers had statistically significant differences in white matter myelin development, in the uncinate fasciculus, temporal lobe, internal capsule and occipital lobe. Additionally, ε4 carriers had a slightly greater rate of development in early learning composite a surrogate measure of IQ representative of expressive language, receptive language, fine motor, and visual skills, but displayed slightly lower non verbal development quotient scores a composite measure of fine motor and visual skills across the entire age range. This study supports the possibility that ε4 carriers have slightly altered rates of white matter and cognitive development in childhood. It continues to raise questions about the role of APOE in human brain development and the relevance of these developmental differences to the predisposition to AD.
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Affiliation(s)
- Justin Remer
- Advanced Baby Imaging Lab, Rhode Island Hospital, Providence, RI, USA; Department of Pediatrics, Warren Alpert Medical School at Brown University, Providence RI, USA.
| | - Douglas C Dean
- Department of Pediatrics, University of Wisconsin-Madison, Madison WI 53705 USA; Department of Medical Physics, University of Wisconsin-Madison, Madison WI 5305 USA; Waisman Center, University of Wisconsin-Madison, Madison WI 53705 USA
| | - Kewei Chen
- Arizona Alzheimer's Consortium, University of Arizona School of Medicine, Tucson and Phoenix AZ, USA; Banner Alzheimer's Institute, Phoenix, AZ, USA; University of Arizona College of Medicine, Phoenix, AZ, USA; Arizona State University, Phoenix, AZ, USA
| | - Rebecca A Reiman
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Neurogenomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Matthew J Huentelman
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Neurogenomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Eric M Reiman
- Arizona Alzheimer's Consortium, University of Arizona School of Medicine, Tucson and Phoenix AZ, USA; Banner Alzheimer's Institute, Phoenix, AZ, USA; University of Arizona College of Medicine, Phoenix, AZ, USA; Arizona State University, Phoenix, AZ, USA; Neurogenomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Sean C L Deoni
- Advanced Baby Imaging Lab, Rhode Island Hospital, Providence, RI, USA; Department of Pediatrics, Warren Alpert Medical School at Brown University, Providence RI, USA; Maternal, Newborn, and Child Health Discovery and Tools, Bill and Melinda Gates Foundation; Seattle WA, USA
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Jin L, Zhang Y, Liang W, Lu X, Piri N, Wang W, Kaplan HJ, Dean DC, Zhang L, Liu Y. Zeb1 promotes corneal neovascularization by regulation of vascular endothelial cell proliferation. Commun Biol 2020; 3:349. [PMID: 32620870 PMCID: PMC7335040 DOI: 10.1038/s42003-020-1069-z] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 06/08/2020] [Indexed: 12/12/2022] Open
Abstract
Angiogenesis is required for tissue repair; but abnormal angiogenesis or neovascularization (NV) causes diseases in the eye. The avascular status in the cornea is a prerequisite for corneal clarity and thought to be maintained by the equilibrium between proangiogenic and antiangiogenic factors that controls proliferation and migration of vascular endothelial cells (ECs) sprouting from the pericorneal plexus. VEGF is the most important intrinsic factor for angiogenesis; anti-VEGF therapies are available for treating ocular NV. However, the effectiveness of the therapies is limited because of VEGF-independent mechanism(s). We show that Zeb1 is an important factor promoting vascular EC proliferation and corneal NV; and a couple of small molecule inhibitors can evict Ctbp from the Zeb1-Ctbp complex, thereby reducing EC Zeb1 expression, proliferation, and corneal NV. We conclude that Zeb1-regulation of angiogenesis is independent of Vegf and that the ZEB1-CtBP inhibitors can be of potential therapeutic significance in treating corneal NV.
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Affiliation(s)
- Lei Jin
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY, 40202, USA
- Department of Ophthalmology, The Third People's Hospital of Dalian, Dalian Medical University, Dalian, 116033, China
| | - Yingnan Zhang
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY, 40202, USA
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology & Visual Science Key Lab, Beijing, 100730, China
| | - Wei Liang
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY, 40202, USA
- Department of Ophthalmology, The Third People's Hospital of Dalian, Dalian Medical University, Dalian, 116033, China
| | - Xiaoqin Lu
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY, 40202, USA
| | - Niloofar Piri
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY, 40202, USA
| | - Wei Wang
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY, 40202, USA
| | - Henry J Kaplan
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY, 40202, USA
| | - Douglas C Dean
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY, 40202, USA.
- Birth Defects Center, University of Louisville School of Dentistry, Louisville, KY, 40202, USA.
- James Brown Cancer Center, University of Louisville School of Medicine, Louisville, KY, 40202, USA.
| | - Lijun Zhang
- Department of Ophthalmology, The Third People's Hospital of Dalian, Dalian Medical University, Dalian, 116033, China.
| | - Yongqing Liu
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY, 40202, USA.
- Birth Defects Center, University of Louisville School of Dentistry, Louisville, KY, 40202, USA.
- James Brown Cancer Center, University of Louisville School of Medicine, Louisville, KY, 40202, USA.
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Torres ER, Tumey TA, Dean DC, Kassahun-Yimer W, Lopez-Lambert ED, Hitchcock ME. Non-pharmacological strategies to obtain usable magnetic resonance images in non-sedated infants: Systematic review and meta-analysis. Int J Nurs Stud 2020; 106:103551. [PMID: 32294563 DOI: 10.1016/j.ijnurstu.2020.103551] [Citation(s) in RCA: 2] [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: 04/10/2019] [Revised: 02/12/2020] [Accepted: 02/14/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Although the use of sedation is commonly practiced to keep infants still while receiving magnetic resonance imaging, non-pharmacological strategies are a potential alternative. OBJECTIVES The purpose of this study was to determine the success rate of obtaining usable magnetic resonance images in infants with the sole use of non-pharmacological strategies. DESIGN Systematic literature review and meta-analysis SETTING: A search was conducted in PubMed, CINAHL and Cochrane Library. PARTICIPANTS Human infants from birth to 24 months of age who did not receive any sedation or anesthesia during magnetic resonance imaging METHOD: Articles that reported the success rate of obtaining usable images were included. RESULTS Of the 521 non-duplicate articles found, 58 articles were included in the systematic review with sample sizes ranging from 2-457, an average success rate of 87.8%, and an average scan time of 30 min. The most common non-pharmacological technique included feeding and swaddling infants before imaging to encourage infants to sleep during the scan. Meta-analysis performed on 53 articles comprising 3,410 infants found a success rate of 87%, but significant heterogeneity was found (I2 = 98.30%). It was more difficult to obtain usable images solely with non-pharmacological techniques if infants were critically ill or a structural magnetic resonance imaging of the brain was required. CONCLUSION Non-pharmacological techniques are effective for obtaining usable magnetic resonance imaging scans in most but not all infants. Tweetable abstract: Non-pharmacological techniques are effective for obtaining usable magnetic resonance imaging scans in most infants.
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Affiliation(s)
- Elisa R Torres
- School of Nursing, University of Mississippi Medical Center, 2500 North State Street, Jackson 39216, MS, United States.
| | - Tyler A Tumey
- Burrell College of Osteopathic Medicine, 3501 Arrowhead Dr Las Cruces, NM 88001, United States.
| | - Douglas C Dean
- Waisman Center, University of Wisconsin-Madison, 1500 Highland Ave, Madison WI 53705, United States.
| | - Wondwosen Kassahun-Yimer
- Department of Data Science, University of Mississippi Medical Center, School of Population Health,2500 North State Street, Jackson, MS 39216, United States.
| | - Eloise D Lopez-Lambert
- School of Nursing, University of Mississippi Medical Center, 2500 North State Street, Jackson 39216, MS, United States
| | - Mary E Hitchcock
- Ebling Library, University of Wisconsin-Madison, 750 Highland Ave, Madison WI 53705, United States.
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Vogt NM, Hunt JF, Adluru N, Dean DC, Johnson SC, Asthana S, Yu JPJ, Alexander AL, Bendlin BB. Cortical Microstructural Alterations in Mild Cognitive Impairment and Alzheimer's Disease Dementia. Cereb Cortex 2020; 30:2948-2960. [PMID: 31833550 PMCID: PMC7197091 DOI: 10.1093/cercor/bhz286] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [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: 12/18/2022] Open
Abstract
In Alzheimer's disease (AD), neurodegenerative processes are ongoing for years prior to the time that cortical atrophy can be reliably detected using conventional neuroimaging techniques. Recent advances in diffusion-weighted imaging have provided new techniques to study neural microstructure, which may provide additional information regarding neurodegeneration. In this study, we used neurite orientation dispersion and density imaging (NODDI), a multi-compartment diffusion model, in order to investigate cortical microstructure along the clinical continuum of mild cognitive impairment (MCI) and AD dementia. Using gray matter-based spatial statistics (GBSS), we demonstrated that neurite density index (NDI) was significantly lower throughout temporal and parietal cortical regions in MCI, while both NDI and orientation dispersion index (ODI) were lower throughout parietal, temporal, and frontal regions in AD dementia. In follow-up ROI analyses comparing microstructure and cortical thickness (derived from T1-weighted MRI) within the same brain regions, differences in NODDI metrics remained, even after controlling for cortical thickness. Moreover, for participants with MCI, gray matter NDI-but not cortical thickness-was lower in temporal, parietal, and posterior cingulate regions. Taken together, our results highlight the utility of NODDI metrics in detecting cortical microstructural degeneration that occurs prior to measurable macrostructural changes and overt clinical dementia.
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Affiliation(s)
- Nicholas M Vogt
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792 USA
| | - Jack F Hunt
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792 USA
| | - Nagesh Adluru
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705 USA
| | - Douglas C Dean
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705 USA
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792 USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705 USA
| | - Sterling C Johnson
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792 USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, 53705 USA
| | - Sanjay Asthana
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792 USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, 53705 USA
| | - John-Paul J Yu
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792 USA
- Department of Biomedical Engineering, College of Engineering, University of Wisconsin-Madison, Madison, WI, 53706 USA
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53719 USA
| | - Andrew L Alexander
- Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705 USA
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705 USA
| | - Barbara B Bendlin
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792 USA
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Liu X, Chen F, Chen Y, Lu H, Lu X, Peng X, Kaplan HJ, Dean DC, Gao L, Liu Y. Paracrine effects of intraocularly implanted cells on degenerating retinas in mice. Stem Cell Res Ther 2020; 11:142. [PMID: 32234075 PMCID: PMC7326149 DOI: 10.1186/s13287-020-01651-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 02/18/2020] [Accepted: 03/12/2020] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Retinal degeneration is a leading cause of blindness in the world; its etiology is complex and involves genetic defects and stress-associated aging. In addition to gene therapies for known genetically defective retinal degeneration, cellular therapies have been widely explored for restoring vision in both preclinical animal models and clinical trials. Stem cells of distinct tissue sources and their derived lineages have been tested for treating retinal degeneration; most of them were reported to be effective to some extent in restoring/improving deteriorated vision. Whether this visual improvement is due to a functional integration of grafted cells to substitute for lost retinal neurons in recipients or due to their neuroprotective and neurotrophic effects to retain recipient functional neurons, or both, is still under debate. METHODS We compared the results of subretinal transplantation of various somatic cell types, such as stem cells and differentiated cells, into RhoP23H/+ mice, a retinal degeneration model for human retinitis pigmentosa (RP) by evaluating their optokinetic response (OKR) and retinal histology. We identified some paracrine factors in the media that cultured cells secreted by western blotting (WB) and functionally evaluated the vascular endothelial growth factor Vegfa for its potential neurotrophic and neuroprotective effects on the neuroretina of model animals by intravitreal injection of VEGF antibody. RESULTS We found that live cells, regardless of whether they were stem cells or differentiated cell types, had a positive effect on improving degenerating retinas after subretinal transplantation; the efficacy depended on their survival duration in the host tissue. A few paracrine factors were identified in cell culture media; Vegfa was the most relevant neurotrophic and neuroprotective factor identified by our experiments to extend neuron survival duration in vivo. CONCLUSIONS Cellular therapy-produced benefits for remediating retinal degeneration are mostly, if not completely, due to a paracrine effect of implanted cells on the remaining host retinal neurons.
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Affiliation(s)
- Xiao Liu
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, KY, 40202, USA
- Department of Ophthalmology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Fenghua Chen
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, KY, 40202, USA
- Department of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Yao Chen
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, KY, 40202, USA
- Department of Ophthalmology, Xiangya Hospital of Central South University, Changsha, China
| | - Huayi Lu
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, KY, 40202, USA
- Second Hospital of Jilin University, Changchun, Jilin Province, China
| | - Xiaoqin Lu
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, KY, 40202, USA
| | - Xiaoyan Peng
- Department of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Henry J Kaplan
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, KY, 40202, USA
| | - Douglas C Dean
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, KY, 40202, USA.
- James Graham Brown Cancer Center, Louisville, USA.
- Birth Defects Center, University of Louisville School of Medicine, Louisville, KY, USA.
| | - Ling Gao
- Department of Ophthalmology, Second Xiangya Hospital of Central South University, Changsha, China.
| | - Yongqing Liu
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, KY, 40202, USA.
- James Graham Brown Cancer Center, Louisville, USA.
- Birth Defects Center, University of Louisville School of Medicine, Louisville, KY, USA.
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Lu Q, Scott PA, Vukmanic EV, Kaplan HJ, Dean DC, Li Q. Yap1 is required for maintenance of adult RPE differentiation. FASEB J 2020; 34:6757-6768. [PMID: 32223016 DOI: 10.1096/fj.201903234r] [Citation(s) in RCA: 2] [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: 12/23/2019] [Revised: 02/21/2020] [Accepted: 03/14/2020] [Indexed: 12/22/2022]
Abstract
Nuclear YAP1 plays a critical role in regulation of stem cell proliferation, tissue regeneration, and organ size in many types of epithelia. Due to rapid turnover of most epithelial cell types, the cytoplasmic function of YAP1 in epithelial cells has not been well studied. The retinal pigment epithelium (RPE) is a highly polarized epithelial cell type maintained at a senescence state, and offers an ideal cell model to study the active role of YAP1 in maintenance of the adult epithelial phenotype. Here, we show that the cytoplasmic function of YAP1 is essential to maintain adult RPE differentiation. Knockout of Yap1 in the adult mouse RPE caused cell depolarization and tight junction breakdown, and led to inhibition of RPE65 expression, diminishment of RPE pigments, and retraction of microvilli and basal infoldings. These changes in RPE further prompted the loss of adjacent photoreceptor outer segments and photoreceptor death, which eventually led to decline of visual function in older mice between 6 and 12 months of age. Furthermore, nuclear β-catenin and its activity were significantly increased in mutant RPE. These results suggest that YAP1 plays an important role in active inhibition of Wnt/β-catenin signaling, and is essential for downregulation of β-catenin nuclear activity and prevention of dedifferentiation of adult RPE.
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Affiliation(s)
- Qingxian Lu
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY, USA
| | - Patrick A Scott
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY, USA
| | - Eric V Vukmanic
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY, USA
| | - Henry J Kaplan
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY, USA
| | - Douglas C Dean
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY, USA
| | - Qiutang Li
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, Louisville, KY, USA
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49
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Chen F, Liu X, Chen Y, Liu JY, Lu H, Wang W, Lu X, Dean KC, Gao L, Kaplan HJ, Dean DC, Peng X, Liu Y. Sphere-induced reprogramming of RPE cells into dual-potential RPE stem-like cells. EBioMedicine 2020; 52:102618. [PMID: 31982829 PMCID: PMC6994567 DOI: 10.1016/j.ebiom.2019.102618] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 11/20/2019] [Accepted: 12/18/2019] [Indexed: 12/11/2022] Open
Abstract
Background The retinal pigment epithelium (RPE) has the potential to regenerate the entire neuroretina upon retinal injury in amphibians. In contrast, this regenerative capacity has been lost in mammals. The reprogramming of differentiated somatic cells into induced pluripotent stem cells (iPSCs) by viral transduction of exogenous stem cell factors has triggered a revolution in regenerative medicine. However, the risks of potential mutation(s) caused by random viral vector insertion in host genomes and tumor formation in recipients hamper its clinical application. One alternative is to immortalize adult stem cells with limited potential or to partially reprogram differentiated somatic cells into progenitor-like cells through non-integration protocols. Methods Sphere-induced RPE stem cells (iRPESCs) were generated from adult mouse RPE cells. Their stem cell functionality was studied in a mouse model of retinal degeneration. The molecular mechanism underlying the sphere-induced reprogramming was investigated using microarray and loss-of-function approaches. Findings We provide evidence that our sphere-induced reprogramming protocol can immortalize and transform mouse RPE cells into iRPESCs with dual potential to differentiate into cells that express either RPE or photoreceptor markers both in vitro and in vivo. When subretinally transplanted into mice with retinal degeneration, iRPESCs can integrate to the RPE and neuroretina, thereby delaying retinal degeneration in the model animals. Our molecular analyses indicate that the Hippo signaling pathway is important in iRPESC reprogramming. Interpretation The Hippo factor Yap1 is activated in the nuclei of cells at the borders of spheres. The factors Zeb1 and P300 downstream of the Hippo pathway are shown to bind to the promoters of the stemness genes Oct4, Klf4 and Sox2, thereby likely transactivate them to reprogram RPE cells into iRPESCs. Fund National Natural Science Foundation of China and the National Institute of Health USA.
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Affiliation(s)
- Fenghua Chen
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, Kentucky 40202, USA; Department of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing 100005, China
| | - Xiao Liu
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, Kentucky 40202, USA; Department of Ophthalmology, Second Affiliated Hospital of Xiangya Medical School, Central South University, Changsha, China
| | - Yao Chen
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, Kentucky 40202, USA; Department of Ophthalmology, Xiangya Hospital, Central South University, Changsha, China
| | - John Y Liu
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, Kentucky 40202, USA
| | - Huayi Lu
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, Kentucky 40202, USA; Second Hospital of Jilin University, Changchun, Jilin Province, China
| | - Wei Wang
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, Kentucky 40202, USA
| | - Xiaoqin Lu
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, Kentucky 40202, USA
| | - Kevin C Dean
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, Kentucky 40202, USA
| | - Ling Gao
- Department of Ophthalmology, Second Affiliated Hospital of Xiangya Medical School, Central South University, Changsha, China
| | - Henry J Kaplan
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, Kentucky 40202, USA
| | - Douglas C Dean
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, Kentucky 40202, USA; James Graham Brown Cancer Center, University of Louisville School of Medicine, Louisville, Kentucky 40202, USA; Birth Defects Center; University of Louisville School of Medicine, Louisville, Kentucky 40202, USA.
| | - Xiaoyan Peng
- Department of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing 100005, China.
| | - Yongqing Liu
- Department of Ophthalmology and Visual Sciences, University of Louisville School of Medicine, 301 E Muhammad Ali Blvd, Louisville, Kentucky 40202, USA; James Graham Brown Cancer Center, University of Louisville School of Medicine, Louisville, Kentucky 40202, USA; Birth Defects Center; University of Louisville School of Medicine, Louisville, Kentucky 40202, USA.
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50
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Kral TRA, Imhoff-Smith T, Dean DC, Grupe D, Adluru N, Patsenko E, Mumford JA, Goldman R, Rosenkranz MA, Davidson RJ. Mindfulness-Based Stress Reduction-related changes in posterior cingulate resting brain connectivity. Soc Cogn Affect Neurosci 2020; 14:777-787. [PMID: 31269203 PMCID: PMC6778831 DOI: 10.1093/scan/nsz050] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2018] [Revised: 05/16/2019] [Accepted: 06/20/2019] [Indexed: 01/10/2023] Open
Abstract
Mindfulness meditation training has been shown to increase resting-state functional connectivity between nodes of the frontoparietal executive control network (dorsolateral prefrontal cortex [DLPFC]) and the default mode network (posterior cingulate cortex [PCC]). We investigated whether these effects generalized to a Mindfulness-Based Stress Reduction (MBSR) course and tested for structural and behaviorally relevant consequences of change in connectivity. Healthy, meditation-naïve adults were randomized to either MBSR (N = 48), an active (N = 47) or waitlist (N = 45) control group. Participants completed behavioral testing, resting-state fMRI scans and diffusion tensor scans at pre-randomization (T1), post-intervention (T2) and ~5.5 months later (T3). We found increased T2–T1 PCC–DLPFC resting connectivity for MBSR relative to control groups. Although these effects did not persist through long-term follow-up (T3–T1), MBSR participants showed a significantly stronger relationship between days of practice (T1 to T3) and increased PCC–DLPFC resting connectivity than participants in the active control group. Increased PCC–DLPFC resting connectivity in MBSR participants was associated with increased microstructural connectivity of a white matter tract connecting these regions and increased self-reported attention. These data show that MBSR increases PCC–DLPFC resting connectivity, which is related to increased practice time, attention and structural connectivity.
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Affiliation(s)
- Tammi R A Kral
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI 53703, USA.,Department of Psychology, University of Wisconsin-Madison, Madison, WI 53703, USA.,Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin-Madison, Madison, WI 53703, USA
| | - Ted Imhoff-Smith
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI 53703, USA
| | - Douglas C Dean
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI 53703, USA.,Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin-Madison, Madison, WI 53703, USA
| | - Dan Grupe
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI 53703, USA.,Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin-Madison, Madison, WI 53703, USA
| | - Nagesh Adluru
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI 53703, USA.,Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin-Madison, Madison, WI 53703, USA
| | - Elena Patsenko
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI 53703, USA
| | - Jeanette A Mumford
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI 53703, USA.,Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin-Madison, Madison, WI 53703, USA
| | - Robin Goldman
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI 53703, USA.,Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin-Madison, Madison, WI 53703, USA
| | - Melissa A Rosenkranz
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI 53703, USA.,Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin-Madison, Madison, WI 53703, USA
| | - Richard J Davidson
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI 53703, USA.,Department of Psychology, University of Wisconsin-Madison, Madison, WI 53703, USA.,Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin-Madison, Madison, WI 53703, USA.,Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53703, USA
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