1
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Lukic S, Fan Z, García AM, Welch AE, Ratnasiri BM, Wilson SM, Henry ML, Vonk J, Deleon J, Miller BL, Miller Z, Mandelli ML, Gorno-Tempini ML. Discriminating nonfluent/agrammatic and logopenic PPA variants with automatically extracted morphosyntactic measures from connected speech. Cortex 2024; 173:34-48. [PMID: 38359511 DOI: 10.1016/j.cortex.2023.12.013] [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: 05/24/2023] [Revised: 10/15/2023] [Accepted: 12/12/2023] [Indexed: 02/17/2024]
Abstract
Morphosyntactic assessments are important for characterizing individuals with nonfluent/agrammatic variant primary progressive aphasia (nfvPPA). Yet, standard tests are subject to examiner bias and often fail to differentiate between nfvPPA and logopenic variant PPA (lvPPA). Moreover, relevant neural signatures remain underexplored. Here, we leverage natural language processing tools to automatically capture morphosyntactic disturbances and their neuroanatomical correlates in 35 individuals with nfvPPA relative to 10 healthy controls (HC) and 26 individuals with lvPPA. Participants described a picture, and ensuing transcripts were analyzed via part-of-speech tagging to extract sentence-related features (e.g., subordinating and coordinating conjunctions), verbal-related features (e.g., tense markers), and nominal-related features (e.g., subjective and possessive pronouns). Gradient boosting machines were used to classify between groups using all features. We identified the most discriminant morphosyntactic marker via a feature importance algorithm and examined its neural correlates via voxel-based morphometry. Individuals with nfvPPA produced fewer morphosyntactic elements than the other two groups. Such features robustly discriminated them from both individuals with lvPPA and HCs with an AUC of .95 and .82, respectively. The most discriminatory feature corresponded to subordinating conjunctions was correlated with cortical atrophy within the left posterior inferior frontal gyrus across groups (pFWE < .05). Automated morphosyntactic analysis can efficiently differentiate nfvPPA from lvPPA. Also, the most sensitive morphosyntactic markers correlate with a core atrophy region of nfvPPA. Our approach, thus, can contribute to a key challenge in PPA diagnosis.
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Affiliation(s)
- Sladjana Lukic
- University of California, San Francisco Memory and Aging Center, CA, USA; Ruth S. Ammon College of Education and Health Sciences, Department of Communication Sciences and Disorders, Adelphi University, Garden City, NY, USA.
| | - Zekai Fan
- Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Adolfo M García
- Global Brain Health Institute (GBHI), University of California, San Francisco, CA, USA; Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile
| | - Ariane E Welch
- Ruth S. Ammon College of Education and Health Sciences, Department of Communication Sciences and Disorders, Adelphi University, Garden City, NY, USA
| | | | - Stephen M Wilson
- School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, QLD, Australia
| | - Maya L Henry
- University of Texas at Austin Moody College of Communication, Austin, TX, USA
| | - Jet Vonk
- University of California, San Francisco Memory and Aging Center, CA, USA
| | - Jessica Deleon
- University of California, San Francisco Memory and Aging Center, CA, USA
| | - Bruce L Miller
- University of California, San Francisco Memory and Aging Center, CA, USA
| | - Zachary Miller
- University of California, San Francisco Memory and Aging Center, CA, USA
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2
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Lee MJ, Bhattarai D, Jang H, Baek A, Yeo IJ, Lee S, Miller Z, Lee S, Hong JT, Kim DE, Lee W, Kim KB. Correction to "Macrocyclic Immunoproteasome Inhibitors as a Potential Therapy for Alzheimer's Disease". J Med Chem 2024. [PMID: 38471117 DOI: 10.1021/acs.jmedchem.4c00382] [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: 03/14/2024]
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3
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Tang AS, Rankin KP, Cerono G, Miramontes S, Mills H, Roger J, Zeng B, Nelson C, Soman K, Woldemariam S, Li Y, Lee A, Bove R, Glymour M, Aghaeepour N, Oskotsky TT, Miller Z, Allen IE, Sanders SJ, Baranzini S, Sirota M. Leveraging electronic health records and knowledge networks for Alzheimer's disease prediction and sex-specific biological insights. Nat Aging 2024; 4:379-395. [PMID: 38383858 PMCID: PMC10950787 DOI: 10.1038/s43587-024-00573-8] [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] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 01/19/2024] [Indexed: 02/23/2024]
Abstract
Identification of Alzheimer's disease (AD) onset risk can facilitate interventions before irreversible disease progression. We demonstrate that electronic health records from the University of California, San Francisco, followed by knowledge networks (for example, SPOKE) allow for (1) prediction of AD onset and (2) prioritization of biological hypotheses, and (3) contextualization of sex dimorphism. We trained random forest models and predicted AD onset on a cohort of 749 individuals with AD and 250,545 controls with a mean area under the receiver operating characteristic of 0.72 (7 years prior) to 0.81 (1 day prior). We further harnessed matched cohort models to identify conditions with predictive power before AD onset. Knowledge networks highlight shared genes between multiple top predictors and AD (for example, APOE, ACTB, IL6 and INS). Genetic colocalization analysis supports AD association with hyperlipidemia at the APOE locus, as well as a stronger female AD association with osteoporosis at a locus near MS4A6A. We therefore show how clinical data can be utilized for early AD prediction and identification of personalized biological hypotheses.
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Affiliation(s)
- Alice S Tang
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
- Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, San Francisco and Berkeley, CA, USA.
| | - Katherine P Rankin
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Gabriel Cerono
- Weill Institute for Neuroscience. Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Silvia Miramontes
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Hunter Mills
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Jacquelyn Roger
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Billy Zeng
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Charlotte Nelson
- Weill Institute for Neuroscience. Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Karthik Soman
- Weill Institute for Neuroscience. Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Sarah Woldemariam
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Yaqiao Li
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Albert Lee
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Riley Bove
- Weill Institute for Neuroscience. Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Maria Glymour
- Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford University, Palo Alto, CA, USA
| | - Nima Aghaeepour
- Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford University, Palo Alto, CA, USA
- Department of Pediatrics, Stanford University, Palo Alto, CA, USA
- Department of Biomedical Data Science, Stanford University, Palo Alto, CA, USA
| | - Tomiko T Oskotsky
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Zachary Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Isabel E Allen
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Stephan J Sanders
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
- Institute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, UK
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Sergio Baranzini
- Weill Institute for Neuroscience. Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Marina Sirota
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
- Department of Pediatrics, University of California, San Francisco, CA, USA.
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4
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Zhang J, Song L, Miller Z, Chan KCG, Huang KL. Machine learning models identify predictive features of patient mortality across dementia types. Commun Med (Lond) 2024; 4:23. [PMID: 38418871 PMCID: PMC10901806 DOI: 10.1038/s43856-024-00437-7] [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: 01/16/2023] [Accepted: 01/11/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Dementia care is challenging due to the divergent trajectories in disease progression and outcomes. Predictive models are needed to flag patients at risk of near-term mortality and identify factors contributing to mortality risk across different dementia types. METHODS Here, we developed machine-learning models predicting dementia patient mortality at four different survival thresholds using a dataset of 45,275 unique participants and 163,782 visit records from the U.S. National Alzheimer's Coordinating Center (NACC). We built multi-factorial XGBoost models using a small set of mortality predictors and conducted stratified analyses with dementiatype-specific models. RESULTS Our models achieved an area under the receiver operating characteristic curve (AUC-ROC) of over 0.82 utilizing nine parsimonious features for all 1-, 3-, 5-, and 10-year thresholds. The trained models mainly consisted of dementia-related predictors such as specific neuropsychological tests and were minimally affected by other age-related causes of death, e.g., stroke and cardiovascular conditions. Notably, stratified analyses revealed shared and distinct predictors of mortality across eight dementia types. Unsupervised clustering of mortality predictors grouped vascular dementia with depression and Lewy body dementia with frontotemporal lobar dementia. CONCLUSIONS This study demonstrates the feasibility of flagging dementia patients at risk of mortality for personalized clinical management. Parsimonious machine-learning models can be used to predict dementia patient mortality with a limited set of clinical features, and dementiatype-specific models can be applied to heterogeneous dementia patient populations.
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Affiliation(s)
- Jimmy Zhang
- Department of Genetics and Genomic Sciences, Center for Transformative Disease Modeling, Tisch Cancer Institute, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Columbia University, New York, NY, 10027, USA
| | - Luo Song
- School of Medicine, The University of Queensland, Herston, QLD, 4006, Australia
| | - Zachary Miller
- National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, 98195, USA
| | - Kwun C G Chan
- National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, 98195, USA
| | - Kuan-Lin Huang
- Department of Genetics and Genomic Sciences, Center for Transformative Disease Modeling, Tisch Cancer Institute, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
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Pedemonte B, Pereira CW, Borghesani V, Ebbert M, Allen IE, Pinheiro-Chagas P, De Leon J, Miller Z, Tee BL, Gorno-Tempini ML. Profiles of mathematical deficits in children with dyslexia. NPJ Sci Learn 2024; 9:7. [PMID: 38360731 PMCID: PMC10869821 DOI: 10.1038/s41539-024-00217-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 01/25/2024] [Indexed: 02/17/2024]
Abstract
Despite a high rate of concurrent mathematical difficulties among children with dyslexia, we still have limited information regarding the prevalence and severity of mathematical deficits in this population. To address this gap, we developed a comprehensive battery of cognitive tests, known as the UCSF Mathematical Cognition Battery (MCB), with the aim of identifying deficits in four distinct mathematical domains: number processing, arithmetical procedures, arithmetic facts retrieval, and geometrical abilities. The mathematical abilities of a cohort of 75 children referred to the UCSF Dyslexia Center with a diagnosis of dyslexia, along with 18 typically developing controls aged 7 to 16, were initially evaluated using a behavioral neurology approach. A team of professional clinicians classified the 75 children with dyslexia into five groups, based on parents' and teachers' reported symptoms and clinical history. These groups included children with no mathematical deficits and children with mathematical deficits in number processing, arithmetical procedures, arithmetic facts retrieval, or geometrical abilities. Subsequently, the children underwent evaluation using the MCB to determine concordance with the clinicians' impressions. Additionally, neuropsychological and cognitive standardized tests were administered. Our study reveals that within a cohort of children with dyslexia, 66% exhibit mathematical deficits, and among those with mathematical deficits, there is heterogeneity in the nature of these deficits. If these findings are confirmed in larger samples, they can potentially pave the way for new diagnostic approaches, consistent subtype classification, and, ultimately personalized interventions.
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Affiliation(s)
- B Pedemonte
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.
- Dyslexia Center, University of California, San Francisco, CA, USA.
| | - C W Pereira
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
- Dyslexia Center, University of California, San Francisco, CA, USA
| | - V Borghesani
- Faculty of Psychology and Educational Sciences, Université de Genève, Genève, CH, Switzerland
| | - M Ebbert
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
- Dyslexia Center, University of California, San Francisco, CA, USA
| | - I E Allen
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - P Pinheiro-Chagas
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
- Dyslexia Center, University of California, San Francisco, CA, USA
| | - J De Leon
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
- Dyslexia Center, University of California, San Francisco, CA, USA
| | - Z Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
- Dyslexia Center, University of California, San Francisco, CA, USA
| | - B L Tee
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
- Dyslexia Center, University of California, San Francisco, CA, USA
| | - M L Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
- Dyslexia Center, University of California, San Francisco, CA, USA
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6
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Blazhenets G, Soleimani-Meigooni DN, Thomas W, Mundada N, Brendel M, Vento S, VandeVrede L, Heuer HW, Ljubenkov P, Rojas JC, Chen MK, Amuiri AN, Miller Z, Gorno-Tempini ML, Miller BL, Rosen HJ, Litvan I, Grossman M, Boeve B, Pantelyat A, Tartaglia MC, Irwin DJ, Dickerson BC, Baker SL, Boxer AL, Rabinovici GD, La Joie R. [ 18F]PI-2620 Binding Patterns in Patients with Suspected Alzheimer Disease and Frontotemporal Lobar Degeneration. J Nucl Med 2023; 64:1980-1989. [PMID: 37918868 PMCID: PMC10690126 DOI: 10.2967/jnumed.123.265856] [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: 04/13/2023] [Revised: 09/27/2023] [Indexed: 11/04/2023] Open
Abstract
Tau PET has enabled the visualization of paired helical filaments of 3 or 4 C-terminal repeat tau in Alzheimer disease (AD), but its ability to detect aggregated tau in frontotemporal lobar degeneration (FTLD) spectrum disorders is uncertain. We investigated 2-(2-([18F]fluoro)pyridin-4-yl)-9H-pyrrolo[2,3-b:4,5c']dipyridine ([18F]PI-2620), a newer tracer with ex vivo evidence for binding to FTLD tau, in a convenience sample of patients with suspected FTLD and AD using a static acquisition protocol and parametric SUV ratio (SUVr) images. Methods: We analyzed [18F]PI-2620 PET data from 65 patients with clinical diagnoses associated with AD or FTLD neuropathology; most (60/65) also had amyloid-β (Aβ) PET. Scans were acquired 30-60 min after injection; SUVr maps (reference, inferior cerebellar cortex) were created for the full acquisition and for 10-min truncated sliding windows (30-40, 35-45,…50-60 min). Age- and sex-adjusted z score maps were computed for each patient, relative to 23 Aβ-negative cognitively healthy controls (HC). Mean SUVr in the globus pallidus, substantia nigra, subthalamic nuclei, dentate nuclei, white matter, and temporal gray matter was extracted for the full and truncated windows. Results: Patients with suspected AD neuropathology (Aβ-positive patients with mild cognitive impairment or AD dementia) showed high-intensity temporoparietal cortex-predominant [18F]PI-2620 binding. At the group level, patients with clinical diagnoses associated with FTLD (progressive supranuclear palsy with Richardson syndrome [PSP Richardson syndrome], corticobasal syndrome, and nonfluent-variant primary progressive aphasia) exhibited higher globus pallidus SUVr than did HCs; pallidal retention was highest in the PSP Richardson syndrome group, in whom SUVr was correlated with symptom severity (ρ = 0.53, P = 0.05). At the individual level, only half of PSP Richardson syndrome, corticobasal syndrome, and nonfluent-variant primary progressive aphasia patients had a pallidal SUVr above that of HCs. Temporal SUVr discriminated AD patients from HCs with high accuracy (area under the receiver operating characteristic curve, 0.94 [95% CI, 0.83-1.00]) for all time windows, whereas discrimination between patients with PSP Richardson syndrome and HCs using pallidal SUVr was fair regardless of time window (area under the receiver operating characteristic curve, 0.77 [95% CI, 0.61-0.92] at 30-40 min vs. 0.81 [95% CI, 0.66-0.96] at 50-60 min; P = 0.67). Conclusion: [18F]PI-2620 SUVr shows an intense and consistent signal in AD but lower-intensity, heterogeneous, and rapidly decreasing binding in patients with suspected FTLD. Further work is needed to delineate the substrate of [18F]PI-2620 binding and the usefulness of [18F]PI2620 SUVr quantification outside the AD continuum.
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Affiliation(s)
- Ganna Blazhenets
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California
- Department of Nuclear Medicine, Faculty of Medicine, Medical Center-University of Freiburg, University of Freiburg, Freiburg, Germany
| | - David N Soleimani-Meigooni
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California
| | - Wesley Thomas
- Lawrence Berkeley National Laboratory, Berkeley, California
| | - Nidhi Mundada
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Stephanie Vento
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California
| | - Lawren VandeVrede
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California
| | - Hilary W Heuer
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California
| | - Peter Ljubenkov
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California
| | - Julio C Rojas
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California
| | - Miranda K Chen
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California
| | - Alinda N Amuiri
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California
| | - Zachary Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California
| | - Maria L Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California
| | - Howie J Rosen
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California
| | - Irene Litvan
- University of California, San Diego, San Diego, California
| | - Murray Grossman
- Penn FTD Center, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | | | | | - David J Irwin
- Penn FTD Center, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | | | - Adam L Boxer
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Renaud La Joie
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California;
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7
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Llibre-Guerra JJ, Iaccarino L, Coble D, Edwards L, Li Y, McDade E, Strom A, Gordon B, Mundada N, Schindler SE, Tsoy E, Ma Y, Lu R, Fagan AM, Benzinger TLS, Soleimani-Meigooni D, Aschenbrenner AJ, Miller Z, Wang G, Kramer JH, Hassenstab J, Rosen HJ, Morris JC, Miller BL, Xiong C, Perrin RJ, Allegri R, Chrem P, Surace E, Berman SB, Chhatwal J, Masters CL, Farlow MR, Jucker M, Levin J, Fox NC, Day G, Gorno-Tempini ML, Boxer AL, La Joie R, Rabinovici GD, Bateman R. Longitudinal clinical, cognitive and biomarker profiles in dominantly inherited versus sporadic early-onset Alzheimer's disease. Brain Commun 2023; 5:fcad280. [PMID: 37942088 PMCID: PMC10629466 DOI: 10.1093/braincomms/fcad280] [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: 06/01/2023] [Revised: 10/02/2023] [Accepted: 10/17/2023] [Indexed: 11/10/2023] Open
Abstract
Approximately 5% of Alzheimer's disease cases have an early age at onset (<65 years), with 5-10% of these cases attributed to dominantly inherited mutations and the remainder considered as sporadic. The extent to which dominantly inherited and sporadic early-onset Alzheimer's disease overlap is unknown. In this study, we explored the clinical, cognitive and biomarker profiles of early-onset Alzheimer's disease, focusing on commonalities and distinctions between dominantly inherited and sporadic cases. Our analysis included 117 participants with dominantly inherited Alzheimer's disease enrolled in the Dominantly Inherited Alzheimer Network and 118 individuals with sporadic early-onset Alzheimer's disease enrolled at the University of California San Francisco Alzheimer's Disease Research Center. Baseline differences in clinical and biomarker profiles between both groups were compared using t-tests. Differences in the rates of decline were compared using linear mixed-effects models. Individuals with dominantly inherited Alzheimer's disease exhibited an earlier age-at-symptom onset compared with the sporadic group [43.4 (SD ± 8.5) years versus 54.8 (SD ± 5.0) years, respectively, P < 0.001]. Sporadic cases showed a higher frequency of atypical clinical presentations relative to dominantly inherited (56.8% versus 8.5%, respectively) and a higher frequency of APOE-ε4 (50.0% versus 28.2%, P = 0.001). Compared with sporadic early onset, motor manifestations were higher in the dominantly inherited cohort [32.5% versus 16.9% at baseline (P = 0.006) and 46.1% versus 25.4% at last visit (P = 0.001)]. At baseline, the sporadic early-onset group performed worse on category fluency (P < 0.001), Trail Making Test Part B (P < 0.001) and digit span (P < 0.001). Longitudinally, both groups demonstrated similar rates of cognitive and functional decline in the early stages. After 10 years from symptom onset, dominantly inherited participants experienced a greater decline as measured by Clinical Dementia Rating Sum of Boxes [3.63 versus 1.82 points (P = 0.035)]. CSF amyloid beta-42 levels were comparable [244 (SD ± 39.3) pg/ml dominantly inherited versus 296 (SD ± 24.8) pg/ml sporadic early onset, P = 0.06]. CSF phosphorylated tau at threonine 181 levels were higher in the dominantly inherited Alzheimer's disease cohort (87.3 versus 59.7 pg/ml, P = 0.005), but no significant differences were found for t-tau levels (P = 0.35). In summary, sporadic and inherited Alzheimer's disease differed in baseline profiles; sporadic early onset is best distinguished from dominantly inherited by later age at onset, high frequency of atypical clinical presentations and worse executive performance at baseline. Despite these differences, shared pathways in longitudinal clinical decline and CSF biomarkers suggest potential common therapeutic targets for both populations, offering valuable insights for future research and clinical trial design.
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Affiliation(s)
| | - Leonardo Iaccarino
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Dean Coble
- Division of Biostatistics, Washington University in St Louis, St Louis, MO 63108, USA
| | - Lauren Edwards
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Yan Li
- Division of Biostatistics, Washington University in St Louis, St Louis, MO 63108, USA
| | - Eric McDade
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
| | - Amelia Strom
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Brian Gordon
- Malinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO 63108, USA
| | - Nidhi Mundada
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Suzanne E Schindler
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
| | - Elena Tsoy
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Yinjiao Ma
- Division of Biostatistics, Washington University in St Louis, St Louis, MO 63108, USA
| | - Ruijin Lu
- Division of Biostatistics, Washington University in St Louis, St Louis, MO 63108, USA
| | - Anne M Fagan
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
| | - Tammie L S Benzinger
- Malinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO 63108, USA
| | - David Soleimani-Meigooni
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | | | - Zachary Miller
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Guoqiao Wang
- Division of Biostatistics, Washington University in St Louis, St Louis, MO 63108, USA
| | - Joel H Kramer
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jason Hassenstab
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
| | - Howard J Rosen
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - John C Morris
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
| | - Bruce L Miller
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Chengjie Xiong
- Division of Biostatistics, Washington University in St Louis, St Louis, MO 63108, USA
| | - Richard J Perrin
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
- Department of Pathology and Immunology, Washington University in St Louis, St. Louis, MO 63108, USA
| | - Ricardo Allegri
- Department of Cognitive Neurology, Institute for Neurological Research Fleni, Buenos Aires, Argentina
| | - Patricio Chrem
- Department of Cognitive Neurology, Institute for Neurological Research Fleni, Buenos Aires, Argentina
| | - Ezequiel Surace
- Department of Cognitive Neurology, Institute for Neurological Research Fleni, Buenos Aires, Argentina
| | - Sarah B Berman
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Jasmeer Chhatwal
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Colin L Masters
- Florey Institute, The University of Melbourne, Melbourne 3052, Australia
| | - Martin R Farlow
- Neuroscience Center, Indiana University School of Medicine at Indianapolis, IN 46202, USA
| | - Mathias Jucker
- DZNE-German Center for Neurodegenerative Diseases, Tübingen 72076, Germany
- Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen 72076, Germany
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-University, Munich 80539, Germany
- German Center for Neurodegenerative Diseases, Munich 81377, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich 81377, Germany
| | - Nick C Fox
- Dementia Research Centre, Department of Neurodegenerative Disease, University College London Institute of Neurology, London WC1N 3BG, UK
| | - Gregory Day
- Department of Neurology, Mayo Clinic Florida, Jacksonville, FL 33224, USA
| | - Maria Luisa Gorno-Tempini
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Adam L Boxer
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Renaud La Joie
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Gil D Rabinovici
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Randall Bateman
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
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8
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Zou Q, Miller Z, Dzelebdzic S, Abadeer M, Johnson KM, Hussain T. Time-Resolved 3D cardiopulmonary MRI reconstruction using spatial transformer network. Math Biosci Eng 2023; 20:15982-15998. [PMID: 37919998 DOI: 10.3934/mbe.2023712] [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] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/04/2023]
Abstract
The accurate visualization and assessment of the complex cardiac and pulmonary structures in 3D is critical for the diagnosis and treatment of cardiovascular and respiratory disorders. Conventional 3D cardiac magnetic resonance imaging (MRI) techniques suffer from long acquisition times, motion artifacts, and limited spatiotemporal resolution. This study proposes a novel time-resolved 3D cardiopulmonary MRI reconstruction method based on spatial transformer networks (STNs) to reconstruct the 3D cardiopulmonary MRI acquired using 3D center-out radial ultra-short echo time (UTE) sequences. The proposed reconstruction method employed an STN-based deep learning framework, which used a combination of data-processing, grid generator, and sampler. The reconstructed 3D images were compared against the start-of-the-art time-resolved reconstruction method. The results showed that the proposed time-resolved 3D cardiopulmonary MRI reconstruction using STNs offers a robust and efficient approach to obtain high-quality images. This method effectively overcomes the limitations of conventional 3D cardiac MRI techniques and has the potential to improve the diagnosis and treatment planning of cardiopulmonary disorders.
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Affiliation(s)
- Qing Zou
- Division of Pediatric Cardiology, Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX, USA
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Zachary Miller
- Department of Biomedical Engineering, University of Wisconsin, Madison, WI, USA
| | - Sanja Dzelebdzic
- Division of Pediatric Cardiology, Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Maher Abadeer
- Division of Pediatric Cardiology, Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Kevin M Johnson
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Tarique Hussain
- Division of Pediatric Cardiology, Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX, USA
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, TX, USA
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9
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Mandelli ML, Lorca‐Puls DL, Lukic S, Montembeault M, Gajardo‐Vidal A, Licata A, Scheffler A, Battistella G, Grasso SM, Bogley R, Ratnasiri BM, La Joie R, Mundada NS, Europa E, Rabinovici G, Miller BL, De Leon J, Henry ML, Miller Z, Gorno‐Tempini ML. Network anatomy in logopenic variant of primary progressive aphasia. Hum Brain Mapp 2023; 44:4390-4406. [PMID: 37306089 PMCID: PMC10318204 DOI: 10.1002/hbm.26388] [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: 12/22/2022] [Revised: 04/21/2023] [Accepted: 05/17/2023] [Indexed: 06/13/2023] Open
Abstract
The logopenic variant of primary progressive aphasia (lvPPA) is a neurodegenerative syndrome characterized linguistically by gradual loss of repetition and naming skills resulting from left posterior temporal and inferior parietal atrophy. Here, we sought to identify which specific cortical loci are initially targeted by the disease (epicenters) and investigate whether atrophy spreads through predetermined networks. First, we used cross-sectional structural MRI data from individuals with lvPPA to define putative disease epicenters using a surface-based approach paired with an anatomically fine-grained parcellation of the cortical surface (i.e., HCP-MMP1.0 atlas). Second, we combined cross-sectional functional MRI data from healthy controls and longitudinal structural MRI data from individuals with lvPPA to derive the epicenter-seeded resting-state networks most relevant to lvPPA symptomatology and ascertain whether functional connectivity in these networks predicts longitudinal atrophy spread in lvPPA. Our results show that two partially distinct brain networks anchored to the left anterior angular and posterior superior temporal gyri epicenters were preferentially associated with sentence repetition and naming skills in lvPPA. Critically, the strength of connectivity within these two networks in the neurologically-intact brain significantly predicted longitudinal atrophy progression in lvPPA. Taken together, our findings indicate that atrophy progression in lvPPA, starting from inferior parietal and temporoparietal junction regions, predominantly follows at least two partially nonoverlapping pathways, which may influence the heterogeneity in clinical presentation and prognosis.
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Affiliation(s)
- Maria Luisa Mandelli
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Diego L. Lorca‐Puls
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Sección de Neurología, Departamento de Especialidades, Facultad de MedicinaUniversidad de ConcepciónConcepciónChile
| | - Sladjana Lukic
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of Communication Sciences and DisordersAdelphi UniversityGarden CityNew YorkUSA
| | - Maxime Montembeault
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of PsychiatryDouglas Mental Health University Institute, McGill UniversityMontréalCanada
| | - Andrea Gajardo‐Vidal
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Faculty of Health SciencesUniversidad del DesarrolloConcepciónChile
| | - Abigail Licata
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Aaron Scheffler
- Department of Epidemiology and BiostatisticsUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Giovanni Battistella
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of OtolaryngologyHead and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical SchoolBostonMassachusettsUSA
| | - Stephanie M. Grasso
- Department of Speech, Language, and Hearing SciencesUniversity of TexasAustinTexasUSA
| | - Rian Bogley
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Buddhika M. Ratnasiri
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Renaud La Joie
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Nidhi S. Mundada
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Eduardo Europa
- Department of Communicative Disorders and SciencesSan Jose State UniversitySan JoseCaliforniaUSA
| | - Gil Rabinovici
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Bruce L. Miller
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Jessica De Leon
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Maya L. Henry
- Department of Speech, Language, and Hearing SciencesUniversity of TexasAustinTexasUSA
| | - Zachary Miller
- Memory and Aging Center, Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
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10
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Peng K, Nowicki TS, Campbell K, Vahed M, Peng D, Meng Y, Nagareddy A, Huang YN, Karlsberg A, Miller Z, Brito J, Nadel B, Pak VM, Abedalthagafi MS, Burkhardt AM, Alachkar H, Ribas A, Mangul S. Rigorous benchmarking of T-cell receptor repertoire profiling methods for cancer RNA sequencing. Brief Bioinform 2023; 24:bbad220. [PMID: 37291798 PMCID: PMC10359085 DOI: 10.1093/bib/bbad220] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 05/02/2023] [Accepted: 05/24/2023] [Indexed: 06/10/2023] Open
Abstract
The ability to identify and track T-cell receptor (TCR) sequences from patient samples is becoming central to the field of cancer research and immunotherapy. Tracking genetically engineered T cells expressing TCRs that target specific tumor antigens is important to determine the persistence of these cells and quantify tumor responses. The available high-throughput method to profile TCR repertoires is generally referred to as TCR sequencing (TCR-Seq). However, the available TCR-Seq data are limited compared with RNA sequencing (RNA-Seq). In this paper, we have benchmarked the ability of RNA-Seq-based methods to profile TCR repertoires by examining 19 bulk RNA-Seq samples across 4 cancer cohorts including both T-cell-rich and T-cell-poor tissue types. We have performed a comprehensive evaluation of the existing RNA-Seq-based repertoire profiling methods using targeted TCR-Seq as the gold standard. We also highlighted scenarios under which the RNA-Seq approach is suitable and can provide comparable accuracy to the TCR-Seq approach. Our results show that RNA-Seq-based methods are able to effectively capture the clonotypes and estimate the diversity of TCR repertoires, as well as provide relative frequencies of clonotypes in T-cell-rich tissues and low-diversity repertoires. However, RNA-Seq-based TCR profiling methods have limited power in T-cell-poor tissues, especially in highly diverse repertoires of T-cell-poor tissues. The results of our benchmarking provide an additional appealing argument to incorporate RNA-Seq into the immune repertoire screening of cancer patients as it offers broader knowledge into the transcriptomic changes that exceed the limited information provided by TCR-Seq.
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Affiliation(s)
- Kerui Peng
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
| | - Theodore S Nowicki
- Department of Pediatrics, Division of Pediatric Hematology/Oncology, University of California, Los Angeles, CA, USA
- Department of Microbiology, Immunology, & Molecular Genetics, University of California, Los Angeles, CA, USA
| | - Katie Campbell
- Department of Medicine, Division of Hematology-Oncology, University of California, Los Angeles, CA, USA
| | - Mohammad Vahed
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
| | - Dandan Peng
- Department of Quantitative and Computational Biology, USC Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA
| | - Yiting Meng
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
| | - Anish Nagareddy
- Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Yu-Ning Huang
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
| | - Aaron Karlsberg
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
| | - Zachary Miller
- Department of Pharmaceutical Sciences, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
| | - Jaqueline Brito
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
| | - Brian Nadel
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
- Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, USA
| | - Victoria M Pak
- Emory Nell Hodgson School of Nursing, Emory University, Atlanta, GA, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Malak S Abedalthagafi
- Department of Pathology & Laboratory Medicine, Emory University Hospital, Atlanta, GA, USA
- King Salman Center for Disability Research, Riyadh, Saudi Arabia
| | - Amanda M Burkhardt
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
| | - Houda Alachkar
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
| | - Antoni Ribas
- Departments of Medicine (Hematology-Oncology), Surgery (Surgical Oncology) and Molecular & Medical Pharmacology, University of California, Los Angeles, CA, USA
| | - Serghei Mangul
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA
- Department of Quantitative and Computational Biology, USC Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA
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11
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Sulis D, Jiang X, Yang C, Matthews ML, Marques B, Miller Z, Lan K, Cofre-Vega C, Liu B, Sun R, Sederoff H, Bing R, Sun X, Williams CM, Jameel H, Phillips R, Chang HM, Peszlen I, Huang YY, Li W, Kelly RM, Sederoff RR, Chiang VL, Barrangou R, Wang JP. Multiplex CRISPR editing of wood for sustainable fiber production. Science 2023; 381:216-221. [PMID: 37440632 PMCID: PMC10542590 DOI: 10.1126/science.add4514] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 05/16/2023] [Indexed: 07/15/2023]
Abstract
The domestication of forest trees for a more sustainable fiber bioeconomy has long been hindered by the complexity and plasticity of lignin, a biopolymer in wood that is recalcitrant to chemical and enzymatic degradation. Here, we show that multiplex CRISPR editing enables precise woody feedstock design for combinatorial improvement of lignin composition and wood properties. By assessing every possible combination of 69,123 multigenic editing strategies for 21 lignin biosynthesis genes, we deduced seven different genome editing strategies targeting the concurrent alteration of up to six genes and produced 174 edited poplar variants. CRISPR editing increased the wood carbohydrate-to-lignin ratio up to 228% that of wild type, leading to more-efficient fiber pulping. The edited wood alleviates a major fiber-production bottleneck regardless of changes in tree growth rate and could bring unprecedented operational efficiencies, bioeconomic opportunities, and environmental benefits.
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Affiliation(s)
- Daniel Sulis
- TreeCo, Raleigh, NC 27695
- Forest Biotechnology Group, North Carolina State University, Raleigh, NC 27695
| | - Xiao Jiang
- Department of Forest Biomaterials, North Carolina State University, Raleigh, NC 27695
| | - Chenmin Yang
- TreeCo, Raleigh, NC 27695
- Forest Biotechnology Group, North Carolina State University, Raleigh, NC 27695
| | - Megan L. Matthews
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695
| | - Barbara Marques
- Forest Biotechnology Group, North Carolina State University, Raleigh, NC 27695
| | - Zachary Miller
- Department of Forest Biomaterials, North Carolina State University, Raleigh, NC 27695
| | - Kai Lan
- Department of Forest Biomaterials, North Carolina State University, Raleigh, NC 27695
| | - Carlos Cofre-Vega
- Forest Biotechnology Group, North Carolina State University, Raleigh, NC 27695
| | - Baoguang Liu
- TreeCo, Raleigh, NC 27695
- Forest Biotechnology Group, North Carolina State University, Raleigh, NC 27695
| | - Runkun Sun
- Department of Forest Biomaterials, North Carolina State University, Raleigh, NC 27695
| | - Henry Sederoff
- Forest Biotechnology Group, North Carolina State University, Raleigh, NC 27695
| | - Ryan Bing
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695
| | - Xiaoyan Sun
- Molecular Education, Technology and Research Innovation Center (METRIC), North Carolina State University, Raleigh, NC 27695
| | - Cranos M. Williams
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695
| | - Hasan Jameel
- Department of Forest Biomaterials, North Carolina State University, Raleigh, NC 27695
| | - Richard Phillips
- Department of Forest Biomaterials, North Carolina State University, Raleigh, NC 27695
| | - Hou-min Chang
- Department of Forest Biomaterials, North Carolina State University, Raleigh, NC 27695
| | - Ilona Peszlen
- Department of Forest Biomaterials, North Carolina State University, Raleigh, NC 27695
| | - Yung-Yun Huang
- Department of Operations Research, North Carolina State University, Raleigh, NC 27695
| | - Wei Li
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, China 10040
| | - Robert M. Kelly
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695
| | - Ronald R. Sederoff
- TreeCo, Raleigh, NC 27695
- Forest Biotechnology Group, North Carolina State University, Raleigh, NC 27695
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, China 10040
| | - Vincent L. Chiang
- TreeCo, Raleigh, NC 27695
- Forest Biotechnology Group, North Carolina State University, Raleigh, NC 27695
- Department of Forest Biomaterials, North Carolina State University, Raleigh, NC 27695
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, China 10040
| | - Rodolphe Barrangou
- TreeCo, Raleigh, NC 27695
- Department of Food, Bioprocessing and Nutrition Sciences, North Carolina State University, Raleigh, NC 27695
| | - Jack P. Wang
- TreeCo, Raleigh, NC 27695
- Forest Biotechnology Group, North Carolina State University, Raleigh, NC 27695
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, China 10040
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12
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Miller Z, Johnson KM. Motion compensated self supervised deep learning for highly accelerated 3D ultrashort Echo time pulmonary MRI. Magn Reson Med 2023; 89:2361-2375. [PMID: 36744745 PMCID: PMC10590257 DOI: 10.1002/mrm.29586] [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: 05/18/2022] [Revised: 12/09/2022] [Accepted: 12/29/2022] [Indexed: 02/07/2023]
Abstract
PURPOSE To investigate motion compensated, self-supervised, model based deep learning (MBDL) as a method to reconstruct free breathing, 3D pulmonary UTE acquisitions. THEORY AND METHODS A self-supervised eXtra dimension MBDL architecture (XD-MBDL) was developed that combined respiratory states to reconstruct a single high-quality 3D image. Non-rigid motion fields were incorporated into this architecture by estimating motion fields from a lower resolution motion resolved (XD-GRASP) reconstruction. Motion compensated XD-MBDL was evaluated on lung UTE datasets with and without contrast and compared to constrained reconstructions and variants of self-supervised MBDL that do not account for dynamic respiratory states or leverage motion correction. RESULTS Images reconstructed using XD-MBDL demonstrate improved image quality as measured by apparent SNR (aSNR), contrast to noise ratio (CNR), and visual assessment relative to self-supervised MBDL approaches that do not account for dynamic respiratory states, XD-GRASP and a recently proposed motion compensated iterative reconstruction strategy (iMoCo). Additionally, XD-MBDL reduced reconstruction time relative to both XD-GRASP and iMoCo. CONCLUSION A method was developed to allow self-supervised MBDL to combine multiple respiratory states to reconstruct a single image. This method was combined with graphics processing unit (GPU)-based image registration to further improve reconstruction quality. This approach showed promising results reconstructing a user-selected respiratory phase from free breathing 3D pulmonary UTE acquisitions.
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Affiliation(s)
- Zachary Miller
- Department of Biomedical Engineering, University of Wisconsin, Madison, Wisconsin, USA
| | - Kevin M. Johnson
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
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13
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Mandelli ML, Lorca-Puls DL, Lukic S, Montembeault M, Gajardo-Vidal A, Licata A, Scheffler A, Battistella G, Grasso SM, Bogley R, Ratnasiri BM, La Joie R, Mundada NS, Europa E, Rabinovici G, Miller BL, De Leon J, Henry ML, Miller Z, Gorno-Tempini ML. Network anatomy in logopenic variant of primary progressive aphasia. medRxiv 2023:2023.05.15.23289065. [PMID: 37292690 PMCID: PMC10246009 DOI: 10.1101/2023.05.15.23289065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The logopenic variant of primary progressive aphasia (lvPPA) is a neurodegenerative syndrome characterized linguistically by gradual loss of repetition and naming skills, resulting from left posterior temporal and inferior parietal atrophy. Here, we sought to identify which specific cortical loci are initially targeted by the disease (epicenters) and investigate whether atrophy spreads through pre-determined networks. First, we used cross-sectional structural MRI data from individuals with lvPPA to define putative disease epicenters using a surface-based approach paired with an anatomically-fine-grained parcellation of the cortical surface (i.e., HCP-MMP1.0 atlas). Second, we combined cross-sectional functional MRI data from healthy controls and longitudinal structural MRI data from individuals with lvPPA to derive the epicenter-seeded resting-state networks most relevant to lvPPA symptomatology and ascertain whether functional connectivity in these networks predicts longitudinal atrophy spread in lvPPA. Our results show that two partially distinct brain networks anchored to the left anterior angular and posterior superior temporal gyri epicenters were preferentially associated with sentence repetition and naming skills in lvPPA. Critically, the strength of connectivity within these two networks in the neurologically-intact brain significantly predicted longitudinal atrophy progression in lvPPA. Taken together, our findings indicate that atrophy progression in lvPPA, starting from inferior parietal and temporo-parietal junction regions, predominantly follows at least two partially non-overlapping pathways, which may influence the heterogeneity in clinical presentation and prognosis.
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14
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Miller Z, Pirasteh A, Johnson KM. Memory efficient model based deep learning reconstructions for high spatial resolution 3D non-cartesian acquisitions. Phys Med Biol 2023; 68. [PMID: 36854193 PMCID: PMC10034748 DOI: 10.1088/1361-6560/acc003] [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: 04/28/2022] [Accepted: 02/28/2023] [Indexed: 03/02/2023]
Abstract
Objective. Model based deep learning (MBDL) has been challenging to apply to the reconstruction of 3D non-Cartesian MRI due to GPU memory demand because the entire volume is needed for data-consistency steps embedded in the model. This requirement makes holding even a single unroll in GPU memory difficult meaning memory efficient techniques used to increase unroll number like gradient checkpointing and deep equilibrium learning will not work well for high spatial resolution 3D non-Cartesian reconstructions without modification. Here we develop a memory efficient method called block-wise learning that combines gradient checkpointing with patch-wise training to overcome this obstacle and allow for fast and high-quality 3D non-Cartesian reconstructions using MBDL.Approach. Block-wise learning applied to a single unroll decomposes the input volume into smaller patches, gradient checkpoints each patch, passes each patch iteratively through a neural network regularizer, and then rebuilds the full volume from these output patches for data-consistency. This method is applied across unrolls during training. Block-wise learning significantly reduces memory requirements by tying GPU memory for a single unroll to user selected patch size instead of the full volume. This algorithm was used to train a MBDL architecture to reconstruct highly undersampled, 1.25 mm isotropic, pulmonary magnetic resonance angiography volumes with matrix sizes varying from 300-450 × 200-300 × 300-450 on a single GPU. We compared block-wise learning reconstructions against L1 wavelet compressed reconstructions and proxy ground truth images.Main results. MBDL with block-wise learning significantly improved image quality relative to L1 wavelet compressed sensing while simultaneously reducing average reconstruction time 38x.Significance. Block-wise learning allows for MBDL to be applied to high spatial resolution, 3D non-Cartesian datasets with improved image quality and significant reductions in reconstruction time relative to traditional iterative methods.
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Affiliation(s)
- Zachary Miller
- Department of Biomedical Engineering, University of Wisconsin, Madison, WI, United States of America
| | - Ali Pirasteh
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America
| | - Kevin M Johnson
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America
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15
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Zhang J, Song L, Chan K, Miller Z, Huang KL. Predictive Models and Features of Patient Mortality across Dementia Types. Res Sq 2023:rs.3.rs-2350961. [PMID: 36711767 PMCID: PMC9882612 DOI: 10.21203/rs.3.rs-2350961/v1] [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] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Dementia care is challenging due to the divergent trajectories in disease progression and outcomes. Predictive models are needed to identify patients at risk of near-term mortality. Here, we developed machine learning models predicting survival using a dataset of 45,275 unique participants and 163,782 visit records from the U.S. National Alzheimer's Coordinating Center (NACC). Our models achieved an AUC-ROC of over 0.82 utilizing nine parsimonious features for all one-, three-, five-, and ten-year thresholds. The trained models mainly consisted of dementia-related predictors such as specific neuropsychological tests and were minimally affected by other age-related causes of death, e.g., stroke and cardiovascular conditions. Notably, stratified analyses revealed shared and distinct predictors of mortality across eight dementia types. Unsupervised clustering of mortality predictors grouped vascular dementia with depression and Lewy body dementia with frontotemporal lobar dementia. This study demonstrates the feasibility of flagging dementia patients at risk of mortality for personalized clinical management.
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Affiliation(s)
| | - Luo Song
- School of Medicine, The University of Queensland
| | - Kwun Chan
- National Alzheimer's Coordinating Center, University of Washington
| | - Zachary Miller
- National Alzheimer's Coordinating Center, University of Washington
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16
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Nielebeck C, Kim SH, Pepe A, Himes L, Miller Z, Zummo S, Tang M, Monzón JD. Climatic stress decreases tick survival but increases rate of host‐seeking behavior. Ecosphere 2023. [DOI: 10.1002/ecs2.4369] [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: 01/15/2023] Open
Affiliation(s)
- Caleb Nielebeck
- Natural Science Division Pepperdine University Malibu California USA
| | - Sang Hyo Kim
- Natural Science Division Pepperdine University Malibu California USA
| | - Antonio Pepe
- Natural Science Division Pepperdine University Malibu California USA
| | - Lucian Himes
- Natural Science Division Pepperdine University Malibu California USA
| | - Zachary Miller
- Natural Science Division Pepperdine University Malibu California USA
| | - Sophia Zummo
- Natural Science Division Pepperdine University Malibu California USA
| | - Mary Tang
- Natural Science Division Pepperdine University Malibu California USA
| | - Javier D. Monzón
- Natural Science Division Pepperdine University Malibu California USA
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17
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Tanner JA, Iaccarino L, Edwards L, Asken BM, Gorno-Tempini ML, Kramer JH, Pham J, Perry DC, Possin K, Malpetti M, Mellinger T, Miller BL, Miller Z, Mundada NS, Rosen HJ, Soleimani-Meigooni DN, Strom A, La Joie R, Rabinovici GD. Amyloid, tau and metabolic PET correlates of cognition in early and late-onset Alzheimer's disease. Brain 2022; 145:4489-4505. [PMID: 35762829 PMCID: PMC10200306 DOI: 10.1093/brain/awac229] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [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: 12/13/2021] [Revised: 06/07/2022] [Accepted: 06/14/2022] [Indexed: 11/12/2022] Open
Abstract
Early-onset (age < 65) Alzheimer's disease is associated with greater non-amnestic cognitive symptoms and neuropathological burden than late-onset disease. It is not fully understood whether these groups also differ in the associations between molecular pathology, neurodegeneration and cognitive performance. We studied amyloid-positive patients with early-onset (n = 60, mean age 58 ± 4, MMSE 21 ± 6, 58% female) and late-onset (n = 53, mean age 74 ± 6, MMSE 23 ± 5, 45% female) Alzheimer's disease who underwent neurological evaluation, neuropsychological testing, 11C-Pittsburgh compound B PET (amyloid-PET) and 18F-flortaucipir PET (tau-PET). 18F-fluorodeoxyglucose PET (brain glucose metabolism PET) was also available in 74% (n = 84) of participants. Composite scores for episodic memory, semantic memory, language, executive function and visuospatial domains were calculated based on cognitively unimpaired controls. Voxel-wise regressions evaluated correlations between PET biomarkers and cognitive scores and early-onset versus late-onset differences were tested with a PET × Age group interaction. Mediation analyses estimated direct and indirect (18F-fluorodeoxyglucose mediated) local associations between 18F-flortaucipir binding and cognitive scores in domain-specific regions of interest. We found that early-onset patients had higher 18F-flortaucipir binding in parietal, lateral temporal and lateral frontal cortex; more severe 18F-fluorodeoxyglucose hypometabolism in the precuneus and angular gyrus; and greater 11C-Pittsburgh compound B binding in occipital regions compared to late-onset patients. In our primary analyses, PET-cognition correlations did not meaningfully differ between age groups.18F-flortaucipir and 18F-fluorodeoxyglucose, but not 11C-Pittsburgh compound B, were significantly associated with cognition in expected domain-specific patterns in both age groups (e.g. left perisylvian/language, frontal/executive, occipital/visuospatial). 18F-fluorodeoxyglucose mediated the relationship between 18F-flortaucipir and cognition in both age groups across all domains except episodic memory in late-onset patients. Additional direct effects of 18F-flortaucipir were observed for executive function in all age groups, language in early-onset Alzheimer's disease and in the total sample and visuospatial function in the total sample. In conclusion, tau and neurodegeneration, but not amyloid, were similarly associated with cognition in both early and late-onset Alzheimer's disease. Tau had an association with cognition independent of neurodegeneration in language, executive and visuospatial functions in the total sample. Our findings support tau PET as a biomarker that captures both the clinical severity and molecular pathology specific to Alzheimer's disease across the broad spectrum of ages and clinical phenotypes in Alzheimer's disease.
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Affiliation(s)
- Jeremy A Tanner
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
| | - Leonardo Iaccarino
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
| | - Lauren Edwards
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
| | - Breton M Asken
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
| | - Maria L Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
| | - Joel H Kramer
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
| | - Julie Pham
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
| | - David C Perry
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
| | - Katherine Possin
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
| | - Maura Malpetti
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Taylor Mellinger
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
| | - Zachary Miller
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
| | - Nidhi S Mundada
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
| | - Howard J Rosen
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
| | - David N Soleimani-Meigooni
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
| | - Amelia Strom
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
| | - Renaud La Joie
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
- Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA 94143, USA
- Weill Institute for Neurosciences, University of California San Francisco (UCSF), San Francisco, CA 94158, USA
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18
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Rivera-Rivera LA, Kecskemeti S, Jen ML, Miller Z, Johnson SC, Eisenmenger L, Johnson KM. Motion-corrected 4D-Flow MRI for neurovascular applications. Neuroimage 2022; 264:119711. [PMID: 36307060 PMCID: PMC9801539 DOI: 10.1016/j.neuroimage.2022.119711] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 10/10/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022] Open
Abstract
Neurovascular 4D-Flow MRI has emerged as a powerful tool for comprehensive cerebrovascular hemodynamic characterization. Clinical studies in at risk populations such as aging adults indicate hemodynamic markers can be confounded by motion-induced bias. This study develops and characterizes a high fidelity 3D self-navigation approach for retrospective rigid motion correction of neurovascular 4D-Flow data. A 3D radial trajectory with pseudorandom ordering was combined with a multi-resolution low rank regularization approach to enable high spatiotemporal resolution self-navigators from extremely undersampled data. Phantom and volunteer experiments were performed at 3.0T to evaluate the ability to correct for different amounts of induced motions. In addition, the approach was applied to clinical-research exams from ongoing aging studies to characterize performance in the clinical setting. Simulations, phantom and volunteer experiments with motion correction produced images with increased vessel conspicuity, reduced image blurring, and decreased variability in quantitative measures. Clinical exams revealed significant changes in hemodynamic parameters including blood flow rates, flow pulsatility index, and lumen areas after motion correction in probed cerebral arteries (Flow: P<0.001 Lt ICA, P=0.002 Rt ICA, P=0.004 Lt MCA, P=0.004 Rt MCA; Area: P<0.001 Lt ICA, P<0.001 Rt ICA, P=0.004 Lt MCA, P=0.004 Rt MCA; flow pulsatility index: P=0.042 Rt ICA, P=0.002 Lt MCA). Motion induced bias can lead to significant overestimation of hemodynamic markers in cerebral arteries. The proposed method reduces measurement bias from rigid motion in neurovascular 4D-Flow MRI in challenging populations such as aging adults.
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Affiliation(s)
- Leonardo A Rivera-Rivera
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, 1111 Highland Ave, Rm 1005, Madison, WI, 53705-2275, United States; Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792, United States
| | - Steve Kecskemeti
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, 1111 Highland Ave, Rm 1005, Madison, WI, 53705-2275, United States
| | - Mu-Lan Jen
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, 1111 Highland Ave, Rm 1005, Madison, WI, 53705-2275, United States
| | - Zachary Miller
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, 1111 Highland Ave, Rm 1005, Madison, WI, 53705-2275, United States
| | - Sterling C Johnson
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792, United States
| | - Laura Eisenmenger
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792, United States
| | - Kevin M Johnson
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, 1111 Highland Ave, Rm 1005, Madison, WI, 53705-2275, United States; Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792, United States.
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19
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Chee N, Carriere C, Miller Z, Welford S, Brothers S. Activating transcription factor 4 regulates hypoxia inducible factor 1α in chronic hypoxia in pancreatic cancer cells. Oncol Rep 2022; 49:14. [DOI: 10.3892/or.2022.8451] [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: 07/22/2022] [Accepted: 09/29/2022] [Indexed: 11/24/2022] Open
Affiliation(s)
- Nancy Chee
- Center for Therapeutic Innovation, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Candace Carriere
- Center for Therapeutic Innovation, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Zachary Miller
- Center for Therapeutic Innovation, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Scott Welford
- Department of Radiation Oncology, Molecular Therapeutics Shared Resource, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL 33136, USA
| | - Shaun Brothers
- Center for Therapeutic Innovation, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
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20
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Miller-Struttmann N, Miller Z, Galen C. Climate driven disruption of transitional alpine bumble bee communities. Glob Chang Biol 2022; 28:6165-6179. [PMID: 36184909 DOI: 10.1111/gcb.16348] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 07/01/2022] [Accepted: 07/17/2022] [Indexed: 06/16/2023]
Abstract
Pollinators at high elevations face multiple threats from climate change including heat stress, failure to phenological match advancing flower resources and competitive pressure from range-expanding species of lower elevations. We conducted long-term multi-site surveys of alpine bumble bees to determine how phenology of range-stable and range-expanding species is responding to climate change. We ask whether bumble bee responses generate mismatches with floral resources, and whether these mismatches in turn promote community disruption and potential species replacement. In alpine environments of the central Rocky Mountains, range-stable and range-expanding bumble bees exhibit phenological mismatches with flowering host plants due to earlier flowering of preferred resources under warmer spring temperatures. However, workers of range-stable species are more canalised in their foraging schedules, exploiting a relatively narrow portion of the flowering season. Specifically, range-stable species show less variance in phenology in response to temporally and spatially changing conditions than range-expanding ones. Because flowering duration drives the seasonal abundance of floral resources at the landscape scale, we hypothesize that canalisation of phenology in alpine bumble bees could reduce their access to earlier or later season flowers. Warmer conditions are decreasing abundances of range-stable alpine bumble bees above the timberline, increasing abundance of range-expanding species, and facilitating a novel and more species-diverse bumble bee community. However, this trend is not explained by greater phenological mismatch of range-stable bees. Results suggest that conversion of historic habitats for cold-adapted alpine bumble bee species into refugia for more heat-tolerant congeners is disrupting bumble bee communities at high elevations, though the precise mechanisms accounting for these changes are not yet known. If warming continues, we predict that the transient increase in diversity due to colonization by historically low-elevation species will likely give way to declines of alpine bumble bees in the central Rocky Mountains.
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Affiliation(s)
| | - Zachary Miller
- Division of Biological Sciences, University of Missouri, Columbia, Missouri, USA
| | - Candace Galen
- Division of Biological Sciences, University of Missouri, Columbia, Missouri, USA
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21
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Giruzzi NR, McKeirnan KC, Buchman CR, Bertsch T, Miller Z, Remsberg CM. A Mixed-Methods Exploration of the Effect of Disabling Backward Navigation on Calculations-Focused Computerized Examinations. Am J Pharm Educ 2022; 86:ajpe8842. [PMID: 34893468 PMCID: PMC10159391 DOI: 10.5688/ajpe8842] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 12/03/2021] [Indexed: 05/06/2023]
Abstract
Objective. The aim of this mixed-methods study was to examine the effect of disabled backward navigation on computerized calculation examinations in multiple courses.Methods. Student performance on comprehensive pharmacy calculation examinations before and after implementation of disabled backward navigation were compared. Deidentified data from ExamSoft were used to determine median examination scores, passing rates, and time to completion for all three attempts given on comprehensive calculation exams held in a pharmacy calculations course (PharDSci 504) and in three applied patient care laboratory courses (Pharm 531, 541, and 551). An anonymous, voluntary student survey gathered student perceptions of disabled backward navigation. Qualitative data were evaluated for thematic findings.Results. The impact of disabled backward navigation on test scores and passing rates varied by course and test attempt. Students in Pharm 541 and 551 performed significantly worse on the initial test attempt after backward navigation was disabled compared to the previous year, with no significant differences in student performance seen on the retakes. Performance in PharDSci 504 and Pharm 531 followed the opposite pattern, with no significant difference in performance for the initial tests but significantly increased performance on the retakes. The amount of time spent on examinations either significantly decreased or remained the same. Student perceptions were generally consistent across all cohorts, with at least 74% agreeing that disabling backward navigation increased examination difficulty.Conclusion. Disabling backward navigation had a mixed effect on student examination performance. This may highlight how student behaviors change as backward navigation is disabled.
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Affiliation(s)
- Nicholas R Giruzzi
- Washington State University, College of Pharmacy and Pharmaceutical Sciences, Yakima, Washington
| | - Kimberly C McKeirnan
- Washington State University, College of Pharmacy and Pharmaceutical Sciences, Spokane, Washington
| | - Christina R Buchman
- Washington State University, College of Pharmacy and Pharmaceutical Sciences, Yakima, Washington
| | - Taylor Bertsch
- Washington State University, College of Pharmacy and Pharmaceutical Sciences, Spokane, Washington
| | - Zachary Miller
- Washington State University, College of Pharmacy and Pharmaceutical Sciences, Yakima, Washington
| | - Connie M Remsberg
- Washington State University, College of Pharmacy and Pharmaceutical Sciences, Spokane, Washington
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22
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Behnke J, Miller Z, Turner M, McChesney J. Laryngeal myoclonus related to vagal nerve stimulation. Ear Nose Throat J 2022:1455613221116987. [PMID: 35969486 DOI: 10.1177/01455613221116987] [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: 11/15/2022] Open
Affiliation(s)
- John Behnke
- Department of Otolaryngology-Head and Neck Surgery, West Virginia University, Morgantown, WV, USA
| | - Zachary Miller
- Department of Anesthesiology, West Virginia University, Morgantown, WV, USA
| | - Meghan Turner
- Department of Otolaryngology-Head and Neck Surgery, West Virginia University, Morgantown, WV, USA
| | - Jason McChesney
- Department of Otolaryngology-Head and Neck Surgery, West Virginia University, Morgantown, WV, USA
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23
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Lukic S, Licata AE, Weis E, Bogley R, Ratnasiri B, Welch AE, Hinkley LBN, Miller Z, Garcia AM, Houde JF, Nagarajan SS, Gorno-Tempini ML, Borghesani V. Auditory Verb Generation Performance Patterns Dissociate Variants of Primary Progressive Aphasia. Front Psychol 2022; 13:887591. [PMID: 35814055 PMCID: PMC9267767 DOI: 10.3389/fpsyg.2022.887591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 05/16/2022] [Indexed: 11/13/2022] Open
Abstract
Primary progressive aphasia (PPA) is a clinical syndrome in which patients progressively lose speech and language abilities. Three variants are recognized: logopenic (lvPPA), associated with phonology and/or short-term verbal memory deficits accompanied by left temporo-parietal atrophy; semantic (svPPA), associated with semantic deficits and anterior temporal lobe (ATL) atrophy; non-fluent (nfvPPA) associated with grammar and/or speech-motor deficits and inferior frontal gyrus (IFG) atrophy. Here, we set out to investigate whether the three variants of PPA can be dissociated based on error patterns in a single language task. We recruited 21 lvPPA, 28 svPPA, and 24 nfvPPA patients, together with 31 healthy controls, and analyzed their performance on an auditory noun-to-verb generation task, which requires auditory analysis of the input, access to and selection of relevant lexical and semantic knowledge, as well as preparation and execution of speech. Task accuracy differed across the three variants and controls, with lvPPA and nfvPPA having the lowest and highest accuracy, respectively. Critically, machine learning analysis of the different error types yielded above-chance classification of patients into their corresponding group. An analysis of the error types revealed clear variant-specific effects: lvPPA patients produced the highest percentage of "not-a-verb" responses and the highest number of semantically related nouns (production of baseball instead of throw to noun ball); in contrast, svPPA patients produced the highest percentage of "unrelated verb" responses and the highest number of light verbs (production of take instead of throw to noun ball). Taken together, our findings indicate that error patterns in an auditory verb generation task are associated with the breakdown of different neurocognitive mechanisms across PPA variants. Specifically, they corroborate the link between temporo-parietal regions with lexical processing, as well as ATL with semantic processes. These findings illustrate how the analysis of pattern of responses can help PPA phenotyping and heighten diagnostic sensitivity, while providing insights on the neural correlates of different components of language.
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Affiliation(s)
- Sladjana Lukic
- Department of Communication Sciences and Disorders, Ruth S. Ammon College of Education and Health Sciences, Adelphi University, Garden City, NY, United States
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Abigail E. Licata
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
- Department of Neurology, Dyslexia Center, University of California, San Francisco, San Francisco, CA, United States
| | - Elizabeth Weis
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Rian Bogley
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
- Department of Neurology, Dyslexia Center, University of California, San Francisco, San Francisco, CA, United States
| | - Buddhika Ratnasiri
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Ariane E. Welch
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Leighton B. N. Hinkley
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Z. Miller
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
- Department of Neurology, Dyslexia Center, University of California, San Francisco, San Francisco, CA, United States
| | - Adolfo M. Garcia
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, United States
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile
| | - John F. Houde
- Department of Otolaryngology – Head and Neck Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Srikantan S. Nagarajan
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Maria Luisa Gorno-Tempini
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
- Department of Neurology, Dyslexia Center, University of California, San Francisco, San Francisco, CA, United States
| | - Valentina Borghesani
- Department of Psychology, Université de Montréal, Montréal, QC, Canada
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, Montréal, QC, Canada
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24
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Taff BD, Thomsen J, Rice WL, Miller Z, Newton J, Miller L, Gibson A, Riddle M, Schaberl JP, McCormick M. US national park visitor experiences during COVID-19: Data from Acadia, Glacier, Grand Teton, Shenandoah, and Yellowstone National Parks. Parks Stewardship Forum 2022. [DOI: 10.5070/p538156128] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
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25
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Lee MJ, Bhattarai D, Jang H, Baek A, Yeo IJ, Lee S, Miller Z, Lee S, Hong JT, Kim DE, Lee W, Kim KB. Macrocyclic Immunoproteasome Inhibitors as a Potential Therapy for Alzheimer's Disease. J Med Chem 2021; 64:10934-10950. [PMID: 34309393 PMCID: PMC10913540 DOI: 10.1021/acs.jmedchem.1c00291] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Previously, we reported that immunoproteasome (iP)-targeting linear peptide epoxyketones improve cognitive function in mouse models of Alzheimer's disease (AD) in a manner independent of amyloid β. However, these compounds' clinical prospect for AD is limited due to potential issues, such as poor brain penetration and metabolic instability. Here, we report the development of iP-selective macrocyclic peptide epoxyketones prepared by a ring-closing metathesis reaction between two terminal alkenes attached at the P2 and P3/P4 positions of linear counterparts. We show that a lead macrocyclic compound DB-60 (20) effectively inhibits the catalytic activity of iP in ABCB1-overexpressing cells (IC50: 105 nM) and has metabolic stability superior to its linear counterpart. DB-60 (20) also lowered the serum levels of IL-1α and ameliorated cognitive deficits in Tg2576 mice. The results collectively suggest that macrocyclic peptide epoxyketones have improved CNS drug properties than their linear counterparts and offer promising potential as an AD drug candidate.
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Affiliation(s)
- Min Jae Lee
- Department of Pharmaceutical Sciences, University of Kentucky, 789 South Limestone, Lexington, KY 40536-0596, USA
| | - Deepak Bhattarai
- Department of Pharmaceutical Sciences, University of Kentucky, 789 South Limestone, Lexington, KY 40536-0596, USA
| | - Hyeryung Jang
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul 08826, Republic of Korea
| | - Ahreum Baek
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea
| | - In Jun Yeo
- College of Pharmacy, Chungbuk National University, Cheongju, Chungbuk 28160, Republic of Korea
| | - Seongsoo Lee
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul 08826, Republic of Korea
| | - Zachary Miller
- Department of Pharmaceutical Sciences, University of Kentucky, 789 South Limestone, Lexington, KY 40536-0596, USA
| | - Sukyeong Lee
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jin Tae Hong
- College of Pharmacy, Chungbuk National University, Cheongju, Chungbuk 28160, Republic of Korea
| | - Dong-Eun Kim
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea
| | - Wooin Lee
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul 08826, Republic of Korea
| | - Kyung Bo Kim
- Department of Pharmaceutical Sciences, University of Kentucky, 789 South Limestone, Lexington, KY 40536-0596, USA
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26
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Borghesani V, Wang C, Miller C, Mandelli ML, Shapiro K, Miller Z, Fox C, Dronkers NF, Gorno-Tempini ML, Watson C. The resilience of the developing reading system: multi-modal evidence of incident and recovery after a pediatric stroke. Neurocase 2021; 27:338-348. [PMID: 34503393 PMCID: PMC8814732 DOI: 10.1080/13554794.2021.1957119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Decades of neuroscientific findings have elucidated the highly specialized brain areas involved in reading, especially along the ventral occipitotemporal stream where the critical step of recognizing words occurs. We report on a 14-year-old female with temporary dyslexia after a left ventral occipitotemporal ischemic stroke. Our longitudinal multimodal findings show that the resolution of the reading impairment was associated with heightened activity in the left posterior superior and inferior temporal gyri. Our findings highlight the role of the left inferior temporal gyrus in reading and the importance of perilesional and ipsilateral cortical areas for functional recovery after childhood stroke.
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Affiliation(s)
- V Borghesani
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.,Department of Neurology, University of California, San Francisco, CA, USA
| | - C Wang
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.,Department of Neurology, University of California, San Francisco, CA, USA
| | - C Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.,Department of Neurology, University of California, San Francisco, CA, USA
| | - M L Mandelli
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.,Department of Neurology, University of California, San Francisco, CA, USA
| | - K Shapiro
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.,Department of Neurology, University of California, San Francisco, CA, USA
| | - Z Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.,Department of Neurology, University of California, San Francisco, CA, USA
| | - C Fox
- Department of Neurology, University of California, San Francisco, CA, USA
| | - N F Dronkers
- Department of Psychology, University of California, Berkeley, CA, USA.,Department of Neurology, University of California, Davis, CA3, USA
| | - M L Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.,Department of Neurology, University of California, San Francisco, CA, USA.,Dyslexia Center, University of California, San Francisco, CA, USA
| | - C Watson
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.,Department of Neurology, University of California, San Francisco, CA, USA.,Dyslexia Center, University of California, San Francisco, CA, USA
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27
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Borghesani V, Dale CL, Lukic S, Hinkley LBN, Lauricella M, Shwe W, Mizuiri D, Honma S, Miller Z, Miller B, Houde JF, Gorno-Tempini ML, Nagarajan SS. Neural dynamics of semantic categorization in semantic variant of primary progressive aphasia. eLife 2021; 10:e63905. [PMID: 34155973 PMCID: PMC8241439 DOI: 10.7554/elife.63905] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 06/21/2021] [Indexed: 12/28/2022] Open
Abstract
Semantic representations are processed along a posterior-to-anterior gradient reflecting a shift from perceptual (e.g., it has eight legs) to conceptual (e.g., venomous spiders are rare) information. One critical region is the anterior temporal lobe (ATL): patients with semantic variant primary progressive aphasia (svPPA), a clinical syndrome associated with ATL neurodegeneration, manifest a deep loss of semantic knowledge. We test the hypothesis that svPPA patients perform semantic tasks by over-recruiting areas implicated in perceptual processing. We compared MEG recordings of svPPA patients and healthy controls during a categorization task. While behavioral performance did not differ, svPPA patients showed indications of greater activation over bilateral occipital cortices and superior temporal gyrus, and inconsistent engagement of frontal regions. These findings suggest a pervasive reorganization of brain networks in response to ATL neurodegeneration: the loss of this critical hub leads to a dysregulated (semantic) control system, and defective semantic representations are seemingly compensated via enhanced perceptual processing.
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Affiliation(s)
- V Borghesani
- Memory and Aging Center, Department of Neurology, University of California, San FranciscoSan FranciscoUnited States
| | - CL Dale
- Department of Radiology and Biomedical Imaging, University of California, San FranciscoSan FranciscoUnited States
| | - S Lukic
- Memory and Aging Center, Department of Neurology, University of California, San FranciscoSan FranciscoUnited States
| | - LBN Hinkley
- Department of Radiology and Biomedical Imaging, University of California, San FranciscoSan FranciscoUnited States
| | - M Lauricella
- Memory and Aging Center, Department of Neurology, University of California, San FranciscoSan FranciscoUnited States
| | - W Shwe
- Memory and Aging Center, Department of Neurology, University of California, San FranciscoSan FranciscoUnited States
| | - D Mizuiri
- Department of Radiology and Biomedical Imaging, University of California, San FranciscoSan FranciscoUnited States
| | - S Honma
- Department of Radiology and Biomedical Imaging, University of California, San FranciscoSan FranciscoUnited States
| | - Z Miller
- Memory and Aging Center, Department of Neurology, University of California, San FranciscoSan FranciscoUnited States
| | - B Miller
- Memory and Aging Center, Department of Neurology, University of California, San FranciscoSan FranciscoUnited States
| | - JF Houde
- Department of Otolaryngology, University of California, San FranciscoSan FranciscoUnited States
| | - ML Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California, San FranciscoSan FranciscoUnited States
- Department of Neurology, Dyslexia Center University of California, San FranciscoSan FranciscoUnited States
| | - SS Nagarajan
- Department of Radiology and Biomedical Imaging, University of California, San FranciscoSan FranciscoUnited States
- Department of Otolaryngology, University of California, San FranciscoSan FranciscoUnited States
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28
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Abstract
OBJECTIVE Ensuring access to sufficient foods at all times is critical to veterans' health and well-being. Food insecurity has not been well explored in the veteran population. We examined the prevalence and predictors of food insecurity among low-income veterans, because the highest rates of food insecurity are among low-income households. We also examined rates of Supplemental Nutrition Assistance Program (SNAP) participation among subgroups at the highest risk of food insecurity. METHODS We used univariate analyses and 2011-2017 National Health Interview Survey (NHIS) data on veterans aged ≥21 with family incomes <200% of the federal poverty level to estimate the prevalence of food insecurity. We used bivariate analyses to identify correlates of food insecurity and estimate SNAP participation rates among subgroups of low-income veterans. Percentages were weighted using NHIS survey weights. RESULTS Of 5146 low-income veterans, 22.5% reported being food insecure in the previous month. Food insecurity was significantly associated with being aged <65 (33.0% aged 45-64 and 29.7% aged 21-44) compared with 15.0% and 6.4% among veterans aged 65-74 and ≥75, respectively (P < .001); unemployed compared with employed or not in the labor force (39.4%, 22.7%, and 20.2%, respectively; P < .001); in fair or poor health compared with good, very good, or excellent heath (31.8% vs 18.2%; P < .001); and having experienced serious psychological distress in the past month (56.3%) compared with not having experienced such distress (19.7%; P < .001). Although overall SNAP participation among low-income veterans was estimated to be 27.0%, participation rates were highest among veterans who had experienced serious psychological distress (44.1%), were unemployed (39.2%), and were renting their home (39.0%). CONCLUSIONS Some low-income veterans are at greater risk of food insecurity than other veterans. Postseparation programs, civilian support services, and veterans' health providers should be aware of the characteristics that place veterans at highest risk of food insecurity.
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Affiliation(s)
| | | | | | - Paula Mian
- IMPAQ International, LLC, Washington, DC, USA
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29
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Caso F, Agosta F, Magnani G, Cardamone R, Borghesani V, Miller Z, Riva N, La Joie R, Coppola G, Grinberg LT, Seeley WW, Miller BL, Gorno-Tempini ML, Filippi M. Temporal variant of frontotemporal dementia in C9orf72 repeat expansion carriers: two case studies. Brain Imaging Behav 2021; 14:336-345. [PMID: 32180125 DOI: 10.1007/s11682-019-00253-x] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The temporal variant of frontotemporal dementia (tv-FTD) is a progressive neurodegenerative disease with a complex clinical picture mainly characterized by behavioral and language disorders. In this work, we describe clinical, genetic, neuroanatomical and neuropathological (only in one case) features of two patients with tv-FTD carrying C9orf72 repeat expansion. The first patient (AB) presented with a 1-year disease duration showing focal right anterior temporal lobe (ATL) atrophy on magnetic resonance imaging (MRI). The second patient (BC) came to medical attention 13 years after disease onset and showed a prominent bilateral ATL involvement. Both patients showed naming deficits, impairment in identifying known faces and proper names, and personality changes with new onset behavioral rigidity, and progressing language difficulties to single-word and sentence comprehension difficulties. They were classified as tv-FTD. Clinical, cognitive and MRI follow-up were performed. As cognitive impairment progressed, MRI atrophy worsened in ATL and frontotemporal areas in both patients. Both cases had clear family histories of neurological and/or psychiatric disease. Genetic testing revealed a C9orf72 hexanucleotide repeat expansion in both cases. BC passed away after 15 years of disease and autopsy showed the expected TDP-type B pathology. These genetic cases of tv-FTD highlight the susceptibility of ATL to C9orf72-related pathology and emphasize the importance of genetical testing in FTD-spectrum disorders, regardless of the clinical phenotype.
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Affiliation(s)
- Francesca Caso
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.,Neurology Unit, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | | | | | | | - Zachary Miller
- Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Nilo Riva
- Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Renaud La Joie
- Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Giovanni Coppola
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.,Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | - Lea T Grinberg
- Memory and Aging Center, University of California, San Francisco, CA, USA
| | - William W Seeley
- Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Bruce L Miller
- Memory and Aging Center, University of California, San Francisco, CA, USA
| | | | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy. .,Neurology Unit, IRCCS Ospedale San Raffaele, Milan, Italy. .,Vita-Salute San Raffaele University, Milan, Italy. .,Neurophysiology Unit, IRCCS Ospedale San Raffaele, Milan, Italy.
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30
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Teylan M, Schwabe‐Fry K, Hughes TM, Besser LM, Brenowitz WD, Keene CD, Gauthreaux K, Culhane JE, Miller Z, Chen Y, Chan KCG, Mock C, Kukull WA. Cognitive performance among participants with Alzheimer’s disease and cerebral amyloid angiopathy. Alzheimers Dement 2020. [DOI: 10.1002/alz.043853] [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: 11/08/2022]
Affiliation(s)
- Merilee Teylan
- National Alzheimer's Coordinating Center University of Washington Seattle WA USA
| | - Kristen Schwabe‐Fry
- National Alzheimer's Coordinating Center University of Washington Seattle WA USA
| | | | | | | | | | - Kathryn Gauthreaux
- National Alzheimer's Coordinating Center University of Washington Seattle WA USA
| | - Jessica E. Culhane
- National Alzheimer's Coordinating Center University of Washington Seattle WA USA
| | - Zachary Miller
- National Alzheimer's Coordinating Center University of Washington Seattle WA USA
| | - Yen‐Chi Chen
- National Alzheimer's Coordinating Center University of Washington Seattle WA USA
| | - Kwun Chuen Gary Chan
- National Alzheimer's Coordinating Center University of Washington Seattle WA USA
| | - Charles Mock
- National Alzheimer's Coordinating Center University of Washington Seattle WA USA
| | - Walter A. Kukull
- National Alzheimer's Coordinating Center University of Washington Seattle WA USA
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31
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Gauthreaux K, Teylan M, Culhane JE, Miller Z, Schwabe‐Fry K, Chen Y, Chan KCG, Mock C, Kukull WA. The trajectory of cognitive decline and neuropathological features among APOEɛ2 carriers. Alzheimers Dement 2020. [DOI: 10.1002/alz.041243] [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: 11/05/2022]
Affiliation(s)
- Kathryn Gauthreaux
- National Alzheimer’s Coordinating Center University of Washington Seattle WA USA
| | - Merilee Teylan
- National Alzheimer’s Coordinating Center University of Washington Seattle WA USA
| | - Jessica E. Culhane
- National Alzheimer’s Coordinating Center University of Washington Seattle WA USA
| | - Zachary Miller
- National Alzheimer’s Coordinating Center University of Washington Seattle WA USA
| | - Kristen Schwabe‐Fry
- National Alzheimer’s Coordinating Center University of Washington Seattle WA USA
| | - Yen‐Chi Chen
- National Alzheimer’s Coordinating Center University of Washington Seattle WA USA
| | - Kwun Chuen Gary Chan
- National Alzheimer’s Coordinating Center University of Washington Seattle WA USA
| | - Charles Mock
- National Alzheimer’s Coordinating Center University of Washington Seattle WA USA
| | - Walter A. Kukull
- National Alzheimer’s Coordinating Center University of Washington Seattle WA USA
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32
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de Leon J, Grasso SM, Welch A, Miller Z, Shwe W, Rabinovici GD, Miller BL, Henry ML, Gorno-Tempini ML. Effects of bilingualism on age at onset in two clinical Alzheimer's disease variants. Alzheimers Dement 2020; 16:1704-1713. [PMID: 32881346 DOI: 10.1002/alz.12170] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 03/26/2020] [Accepted: 07/10/2020] [Indexed: 12/11/2022]
Abstract
INTRODUCTION The effect of bilingualism on age at onset has yet to be examined within different clinical variants of Alzheimer's disease. METHODS We reviewed the research charts of 287 well-characterized participants with either amnestic Alzheimer's dementia or logopenic variant primary progressive aphasia (lvPPA) and identified bilingual speakers based on regular use of two or more languages and/or ability to communicate with native speakers in two or more languages. We evaluated whether bilingual speakers demonstrated a delay in age of symptom onset relative to monolingual speakers while controlling for other variables known to influence cognitive reserve. RESULTS A 5-year delay in age at symptom onset was observed for bilingual relative to monolingual speakers with lvPPA. This delay in onset was not observed in the amnestic Alzheimer's dementia cohort. DISCUSSION Bilingualism may serve as a unique cognitive reserve variable in lvPPA, but not in amnestic Alzheimer's dementia.
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Affiliation(s)
- Jessica de Leon
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, California, USA
| | - Stephanie M Grasso
- Department of Communication Sciences and Disorders, University of Texas At Austin, Texas, USA
| | - Ariane Welch
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, California, USA
| | - Zachary Miller
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, California, USA
| | - Wendy Shwe
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, California, USA
| | - Gil D Rabinovici
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, California, USA
| | - Bruce L Miller
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, California, USA
| | - Maya L Henry
- Department of Communication Sciences and Disorders, University of Texas At Austin, Texas, USA
| | - Maria Luisa Gorno-Tempini
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, California, USA
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33
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Zhang J, Miller Z, Musich PR, Thomas AE, Yao ZQ, Xie Q, Howe PH, Jiang Y. DSTYK Promotes Metastasis and Chemoresistance via EMT in Colorectal Cancer. Front Pharmacol 2020; 11:1250. [PMID: 32982725 PMCID: PMC7493073 DOI: 10.3389/fphar.2020.01250] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [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: 06/22/2020] [Accepted: 07/30/2020] [Indexed: 12/11/2022] Open
Abstract
Objective Tumor metastasis and resistance to chemotherapy are two critical factors that contribute to the high death rate of colorectal cancer (CRC) patients. Metastasis is facilitated by the epithelial-mesenchymal transition (EMT) of tumor cells, which has emerged not only as a fundamental process during metastasis, but is also a key process leading to chemoresistance of cancer cells. However, the underlying mechanisms of EMT in CRC cell remain unknown. Here, we aim to assess the role of dual serine/threonine and tyrosine protein kinase (DSTYK) in CRC metastasis and chemoresistance. Methods To study the role of DSTYK in TGF-β-induced EMT, we employed techniques including Crispr/Cas9 knockout (KO) to generate DSTYK KO cell lines, RT-PCR to detect the mRNA expression, immunofluorescence analyses, and western blots to detect protein levels of DSTYK in the following 4 cell lines: control LS411N-TβRII and LS411N-TβRII/DSTYK KO, control LS513 and LS513/DSTYK KO cells, treated with/without TGF-β. The effects of DSTYK on apoptosis were investigated by MTT assays, flow cytometry assays, and TUNEL assays. The expression of DSTYK in CRC patients and its correlation with EMT markers were determined by bioinformatics analysis. For in vivo analysis, both xenograft and orthotopic tumor mouse models were employed to investigate the function of DSTYK in chemoresistance and metastasis of tumors. Results In this study, we demonstrate that the novel kinase DSTYK promotes both TGF-β-induced EMT and the subsequent chemoresistance in CRC cells. DSTYK KO significantly attenuates TGF-β–induced EMT and chemoresistance in CRC cells. According to the Gene Expression Omnibus (GEO) database, the expression of DSTYK is not only positively correlated to the expression of TGF-β, but proportional to the death rate of CRC patients as well. Evidently, the expression of DSTYK in the metastatic colorectal cancer samples from patients was significantly higher than that of primary colorectal cancer samples. Further, we demonstrate in mouse models that chemotherapeutic drug treatment suppresses the growth of DSTYK KO tumors more effectively than control tumors. Conclusion Our findings identify DSTYK as a novel protein kinase in regulating TGF-β–mediated EMT and chemoresistance in CRC cells, which defines DSTYK as a potential therapeutic target for CRC therapy.
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Affiliation(s)
- Jinyu Zhang
- Department of Biomedical Sciences, J. H. Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States.,Division of Infectious, Inflammatory and Immunologic Diseases, Department of Internal Medicine, Quillen College of Medicine, ETSU, Johnson City, TN, United States
| | - Zachary Miller
- Department of Biomedical Sciences, J. H. Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States
| | - Phillip R Musich
- Department of Biomedical Sciences, J. H. Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States
| | - Ashlin E Thomas
- Department of Biomedical Sciences, J. H. Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States
| | - Zhi Q Yao
- Division of Infectious, Inflammatory and Immunologic Diseases, Department of Internal Medicine, Quillen College of Medicine, ETSU, Johnson City, TN, United States
| | - Qian Xie
- Department of Biomedical Sciences, J. H. Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States
| | - Philip H Howe
- Department of Biochemistry and Molecular Biology, Medical University of South Carolina, Charleston, SC, United States
| | - Yong Jiang
- Department of Biomedical Sciences, J. H. Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States
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Borghesani V, Battistella G, Mandelli ML, Welch A, Weis E, Younes K, Neuhaus J, Grinberg LT, Seeley WM, Spina S, Miller B, Miller Z, Gorno-Tempini ML. Regional and hemispheric susceptibility of the temporal lobe to FTLD-TDP type C pathology. Neuroimage Clin 2020; 28:102369. [PMID: 32798912 PMCID: PMC7426562 DOI: 10.1016/j.nicl.2020.102369] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [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: 11/18/2019] [Revised: 07/23/2020] [Accepted: 07/29/2020] [Indexed: 12/12/2022]
Abstract
Post-mortem studies show that focal anterior temporal lobe (ATL) neurodegeneration is most often caused by frontotemporal lobar degeneration TDP-43 type C pathology. Clinically, these patients are described with different terms, such as semantic variant primary progressive aphasia (svPPA), semantic dementia (SD), or right temporal variant frontotemporal dementia (FTD) depending on whether the predominant symptoms affect language, semantic knowledge for object or people, or socio-emotional behaviors. ATL atrophy presents with various degrees of lateralization, with right-sided cases considered rarer even though estimation of their prevalence is hampered by the paucity of studies on well-characterized, pathology-proven cohorts. Moreover, it is not clear whether left and right variants show a similar distribution of atrophy within the ATL cross-sectionally and longitudinally. Here we study the largest cohort to-date of pathology-proven TDP-43-C cases diagnosed during life as svPPA, SD or right temporal variant FTD. We analyzed clinical, cognitive, and neuroimaging data from 30 cases, a subset of which was followed longitudinally. Guided by recent structural and functional parcellation studies, we constructed four bilateral ATL regions of interest (ROIs). The computation of an atrophy lateralization index allowed the comparison of atrophy patterns between the two hemispheres. This led to an automatic, imaging-based classification of the cases as left-predominant or right-predominant. We then compared the two groups in terms of regional atrophy patterns within the ATL ROIs (cross-sectionally) and atrophy progression (longitudinally). Results showed that 40% of pathology proven cases of TDP-43-C diagnosed with a temporal variant presented with right-lateralized atrophy. Moreover, the findings of our ATL ROI analysis indicated that, irrespective of atrophy lateralization, atrophy distribution within both ATLs follows a medial-to-lateral gradient. Finally, in both left and right cases, atrophy appeared to progress to the contralateral ATL, and from the anterior temporal pole to posterior temporal and orbitofrontal regions. Taken together, our findings indicate that incipient right predominant ATL atrophy is common in TDP-43-C pathology, and that distribution of damage within the ATLs appears to be the same in left- and right- sided variants. Thus, regardless of differences in clinical phenotype and atrophy lateralization, both temporal variants of FTD should be viewed as a spectrum presentation of the same disease.
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Affiliation(s)
- V Borghesani
- Memory and Aging Center, Department of Neurology, University
of California San Francisco, United States.
| | - G Battistella
- Memory and Aging Center, Department of Neurology, University
of California San Francisco, United States
| | - M L Mandelli
- Memory and Aging Center, Department of Neurology, University
of California San Francisco, United States
| | - A Welch
- Memory and Aging Center, Department of Neurology, University
of California San Francisco, United States
| | - E Weis
- Memory and Aging Center, Department of Neurology, University
of California San Francisco, United States
| | - K Younes
- Memory and Aging Center, Department of Neurology, University
of California San Francisco, United States
| | - J Neuhaus
- Memory and Aging Center, Department of Neurology, University
of California San Francisco, United States
| | - L T Grinberg
- Memory and Aging Center, Department of Neurology, University
of California San Francisco, United States
| | - W M Seeley
- Memory and Aging Center, Department of Neurology, University
of California San Francisco, United States
| | - S Spina
- Memory and Aging Center, Department of Neurology, University
of California San Francisco, United States
| | - B Miller
- Memory and Aging Center, Department of Neurology, University
of California San Francisco, United States
| | - Z Miller
- Memory and Aging Center, Department of Neurology, University
of California San Francisco, United States
| | - M L Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University
of California San Francisco, United States; Department of Neurology, Dyslexia Center, University of California, San Francisco, CA, United States
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35
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Borghesani V, Hinkley LBN, Ranasinghe KG, Thompson MMC, Shwe W, Mizuiri D, Lauricella M, Europa E, Honma S, Miller Z, Miller B, Vossel K, Henry MML, Houde JF, Gorno-Tempini ML, Nagarajan SS. Taking the sublexical route: brain dynamics of reading in the semantic variant of primary progressive aphasia. Brain 2020; 143:2545-2560. [PMID: 32789455 PMCID: PMC7447517 DOI: 10.1093/brain/awaa212] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Revised: 05/05/2020] [Accepted: 05/21/2020] [Indexed: 01/29/2023] Open
Abstract
Reading aloud requires mapping an orthographic form to a phonological one. The mapping process relies on sublexical statistical regularities (e.g. 'oo' to |uː|) or on learned lexical associations between a specific visual form and a series of sounds (e.g. yacht to/jɑt/). Computational, neuroimaging, and neuropsychological evidence suggest that sublexical, phonological and lexico-semantic processes rely on partially distinct neural substrates: a dorsal (occipito-parietal) and a ventral (occipito-temporal) route, respectively. Here, we investigated the spatiotemporal features of orthography-to-phonology mapping, capitalizing on the time resolution of magnetoencephalography and the unique clinical model offered by patients with semantic variant of primary progressive aphasia (svPPA). Behaviourally, patients with svPPA manifest marked lexico-semantic impairments including difficulties in reading words with exceptional orthographic to phonological correspondence (irregular words). Moreover, they present with focal neurodegeneration in the anterior temporal lobe, affecting primarily the ventral, occipito-temporal, lexical route. Therefore, this clinical population allows for testing of specific hypotheses on the neural implementation of the dual-route model for reading, such as whether damage to one route can be compensated by over-reliance on the other. To this end, we reconstructed and analysed time-resolved whole-brain activity in 12 svPPA patients and 12 healthy age-matched control subjects while reading irregular words (e.g. yacht) and pseudowords (e.g. pook). Consistent with previous findings that the dorsal route is involved in sublexical, phonological processes, in control participants we observed enhanced neural activity over dorsal occipito-parietal cortices for pseudowords, when compared to irregular words. This activation was manifested in the beta-band (12-30 Hz), ramping up slowly over 500 ms after stimulus onset and peaking at ∼800 ms, around response selection and production. Consistent with our prediction, svPPA patients did not exhibit this temporal pattern of neural activity observed in controls this contrast. Furthermore, a direct comparison of neural activity between patients and controls revealed a dorsal spatiotemporal cluster during irregular word reading. These findings suggest that the sublexical/phonological route is involved in processing both irregular and pseudowords in svPPA. Together these results provide further evidence supporting a dual-route model for reading aloud mediated by the interplay between lexico-semantic and sublexical/phonological neurocognitive systems. When the ventral route is damaged, as in the case of neurodegeneration affecting the anterior temporal lobe, partial compensation appears to be possible by over-recruitment of the slower, serial attention-dependent, dorsal one.
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Affiliation(s)
- Valentina Borghesani
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Leighton B N Hinkley
- Department of Radiology and Biomedical Imaging, University of California San Francisco, USA
| | - Kamalini G Ranasinghe
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Megan M C Thompson
- Department of Radiology and Biomedical Imaging, University of California San Francisco, USA
- UC Berkeley-UC San Francisco Graduate Program in Bioengineering, University of California, San Francisco, USA
| | - Wendy Shwe
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Danielle Mizuiri
- Department of Radiology and Biomedical Imaging, University of California San Francisco, USA
| | - Michael Lauricella
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Eduardo Europa
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Susanna Honma
- Department of Radiology and Biomedical Imaging, University of California San Francisco, USA
| | - Zachary Miller
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Bruce Miller
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Keith Vossel
- Department of Neurology, University of Minnesota, Minneapolis, USA
| | - Maya M L Henry
- Department of Communication Sciences and Disorders, University of Texas at Austin, USA
| | - John F Houde
- Department of Otolaryngology, University of California San Francisco, USA
| | - Maria L Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
- Department of Neurology, Dyslexia Center, University of California, San Francisco, CA, USA
| | - Srikantan S Nagarajan
- Department of Radiology and Biomedical Imaging, University of California San Francisco, USA
- Department of Otolaryngology, University of California San Francisco, USA
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36
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Nolan A, De Paula Franca Resende E, Petersen C, Neylan K, Spina S, Huang E, Seeley W, Miller Z, Grinberg LT. Astrocytic Tau Deposition Is Frequent in Typical and Atypical Alzheimer Disease Presentations. J Neuropathol Exp Neurol 2020; 78:1112-1123. [PMID: 31626288 DOI: 10.1093/jnen/nlz094] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Typical Alzheimer disease (AD) features an amnestic syndrome that reflects the progression of pathology through specific neural networks. However, a subset of patients exhibits atypical onset with prominent language, behavioral, or visuospatial deficits that are not explained by current neuropathological staging schemes. Astrogliopathy featuring tau inclusions with thorn-shaped and granular fuzzy morphologies is common in the aging brain and collectively known as aging-related tau astrogliopathy (ARTAG). Prior studies have identified tau-positive thorn-shaped astrocytes in the white matter that associate with a primary progressive aphasia phenotype in an AD cohort. However, a possible contribution of ARTAG copathology to AD clinical heterogeneity has yet to be systematically examined. To investigate whether ARTAG pathology contributes to atypical presentations, we mapped the presence and density of ARTAG subtypes throughout cortical and subcortical regions in a well-characterized cohort of AD cases enriched for atypical presentations. In our cohort, ARTAG pathology is frequent and correlates with older age and higher Braak stage. ARTAG subtypes exhibit distinct distribution patterns with subpial and subependymal deposition occurring in the amygdala, while white and grey matter astrocytic deposition are distributed throughout cortical regions. However, ARTAG pathology is equally prevalent in cases with typical and atypical clinical presentations.
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Affiliation(s)
- Amber Nolan
- Department of Anatomic Pathology, University of California, San Francisco, CA; Memory and Aging Center, University of California, San Francisco, California; and Global Brain Health Institute based at University of California, San Francisco and Trinity College, Dublin, Ireland
| | - Elisa De Paula Franca Resende
- Department of Anatomic Pathology, University of California, San Francisco, CA; Memory and Aging Center, University of California, San Francisco, California; and Global Brain Health Institute based at University of California, San Francisco and Trinity College, Dublin, Ireland
| | - Cathrine Petersen
- Department of Anatomic Pathology, University of California, San Francisco, CA; Memory and Aging Center, University of California, San Francisco, California; and Global Brain Health Institute based at University of California, San Francisco and Trinity College, Dublin, Ireland
| | - Kyra Neylan
- Department of Anatomic Pathology, University of California, San Francisco, CA; Memory and Aging Center, University of California, San Francisco, California; and Global Brain Health Institute based at University of California, San Francisco and Trinity College, Dublin, Ireland
| | - Salvatore Spina
- Department of Anatomic Pathology, University of California, San Francisco, CA; Memory and Aging Center, University of California, San Francisco, California; and Global Brain Health Institute based at University of California, San Francisco and Trinity College, Dublin, Ireland
| | - Eric Huang
- Department of Anatomic Pathology, University of California, San Francisco, CA; Memory and Aging Center, University of California, San Francisco, California; and Global Brain Health Institute based at University of California, San Francisco and Trinity College, Dublin, Ireland
| | - William Seeley
- Department of Anatomic Pathology, University of California, San Francisco, CA; Memory and Aging Center, University of California, San Francisco, California; and Global Brain Health Institute based at University of California, San Francisco and Trinity College, Dublin, Ireland
| | - Zachary Miller
- Department of Anatomic Pathology, University of California, San Francisco, CA; Memory and Aging Center, University of California, San Francisco, California; and Global Brain Health Institute based at University of California, San Francisco and Trinity College, Dublin, Ireland
| | - Lea T Grinberg
- Department of Anatomic Pathology, University of California, San Francisco, CA; Memory and Aging Center, University of California, San Francisco, California; and Global Brain Health Institute based at University of California, San Francisco and Trinity College, Dublin, Ireland
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Bhattarai D, Lee MJ, Baek A, Yeo IJ, Miller Z, Baek YM, Lee S, Kim DE, Hong JT, Kim KB. LMP2 Inhibitors as a Potential Treatment for Alzheimer’s Disease. J Med Chem 2020; 63:3763-3783. [DOI: 10.1021/acs.jmedchem.0c00416] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Deepak Bhattarai
- Department of Pharmaceutical Sciences, University of Kentucky, 789 South Limestone, Lexington, Kentucky 40536-0596, United States
| | - Min Jae Lee
- Department of Pharmaceutical Sciences, University of Kentucky, 789 South Limestone, Lexington, Kentucky 40536-0596, United States
| | - Ahruem Baek
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea
| | - In Jun Yeo
- College of Pharmacy, Chungbuk National University, Cheongju, Chungbuk 28160, Republic of Korea
| | - Zachary Miller
- Department of Pharmaceutical Sciences, University of Kentucky, 789 South Limestone, Lexington, Kentucky 40536-0596, United States
| | - Yu Mi Baek
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea
| | - Sukyeong Lee
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas 77030, United States
| | - Dong-Eun Kim
- Department of Bioscience and Biotechnology, Konkuk University, Seoul 05029, Republic of Korea
| | - Jin Tae Hong
- College of Pharmacy, Chungbuk National University, Cheongju, Chungbuk 28160, Republic of Korea
| | - Kyung Bo Kim
- Department of Pharmaceutical Sciences, University of Kentucky, 789 South Limestone, Lexington, Kentucky 40536-0596, United States
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Jensen SE, Charles JR, Muleta K, Bradbury PJ, Casstevens T, Deshpande SP, Gore MA, Gupta R, Ilut DC, Johnson L, Lozano R, Miller Z, Ramu P, Rathore A, Romay MC, Upadhyaya HD, Varshney RK, Morris GP, Pressoir G, Buckler ES, Ramstein GP. A sorghum practical haplotype graph facilitates genome-wide imputation and cost-effective genomic prediction. Plant Genome 2020; 13:e20009. [PMID: 33016627 DOI: 10.1002/tpg2.20009] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 01/04/2020] [Indexed: 05/22/2023]
Abstract
Successful management and utilization of increasingly large genomic datasets is essential for breeding programs to accelerate cultivar development. To help with this, we developed a Sorghum bicolor Practical Haplotype Graph (PHG) pangenome database that stores haplotypes and variant information. We developed two PHGs in sorghum that were used to identify genome-wide variants for 24 founders of the Chibas sorghum breeding program from 0.01x sequence coverage. The PHG called single nucleotide polymorphisms (SNPs) with 5.9% error at 0.01x coverage-only 3% higher than PHG error when calling SNPs from 8x coverage sequence. Additionally, 207 progenies from the Chibas genomic selection (GS) training population were sequenced and processed through the PHG. Missing genotypes were imputed from PHG parental haplotypes and used for genomic prediction. Mean prediction accuracies with PHG SNP calls range from .57-.73 and are similar to prediction accuracies obtained with genotyping-by-sequencing or targeted amplicon sequencing (rhAmpSeq) markers. This study demonstrates the use of a sorghum PHG to impute SNPs from low-coverage sequence data and shows that the PHG can unify genotype calls across multiple sequencing platforms. By reducing input sequence requirements, the PHG can decrease the cost of genotyping, make GS more feasible, and facilitate larger breeding populations. Our results demonstrate that the PHG is a useful research and breeding tool that maintains variant information from a diverse group of taxa, stores sequence data in a condensed but readily accessible format, unifies genotypes across genotyping platforms, and provides a cost-effective option for genomic selection.
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Affiliation(s)
- Sarah E Jensen
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA
| | - Jean Rigaud Charles
- Chibas and Department of Agriculture and Environmental Sciences, Quisqueya University, Port-au-Prince, Haiti
| | - Kebede Muleta
- Department of Agronomy, Kansas State University, Manhattan, KS, 66506, USA
| | - Peter J Bradbury
- Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA
- United States Department of Agriculture-Agricultural Research Service, Robert W. Holley Center for Agriculture and Health, Ithaca, NY, 14853, USA
| | - Terry Casstevens
- Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA
| | - Santosh P Deshpande
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
| | - Michael A Gore
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA
| | - Rajeev Gupta
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
| | - Daniel C Ilut
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA
| | - Lynn Johnson
- Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA
| | - Roberto Lozano
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA
| | - Zachary Miller
- Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA
| | - Punna Ramu
- Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA
| | - Abhishek Rathore
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
| | - M Cinta Romay
- Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA
| | - Hari D Upadhyaya
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
| | - Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India
| | - Geoffrey P Morris
- Department of Agronomy, Kansas State University, Manhattan, KS, 66506, USA
| | - Gael Pressoir
- Chibas and Department of Agriculture and Environmental Sciences, Quisqueya University, Port-au-Prince, Haiti
| | - Edward S Buckler
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA
- Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA
- United States Department of Agriculture-Agricultural Research Service, Robert W. Holley Center for Agriculture and Health, Ithaca, NY, 14853, USA
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Kumar J, Richardson A, Shah V, Miller Z, Kably M, Bhatia S. 3:36 PM Abstract No. 66 Prostate artery embolization for patients with prostates size smaller than 50 g: a single-center experience with 1-year follow-up. J Vasc Interv Radiol 2020. [DOI: 10.1016/j.jvir.2019.12.091] [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: 11/25/2022] Open
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40
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Acharya V, Swersky A, Fox B, Tummala S, Miller Z, Venkat S, Kably I, Mohan P. Abstract No. 681 Angioplasty and/or stenting for transplant renal artery stenosis. J Vasc Interv Radiol 2020. [DOI: 10.1016/j.jvir.2019.12.740] [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: 10/25/2022] Open
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Battistella G, Borghesani V, Henry M, Shwe W, Lauricella M, Miller Z, Deleon J, Miller BL, Dronkers N, Brambati SM, Seeley WW, Mandelli ML, Gorno-Tempini ML. Task-Free Functional Language Networks: Reproducibility and Clinical Application. J Neurosci 2020; 40:1311-1320. [PMID: 31852732 PMCID: PMC7002153 DOI: 10.1523/jneurosci.1485-19.2019] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 11/06/2019] [Accepted: 12/01/2019] [Indexed: 01/17/2023] Open
Abstract
Intrinsic connectivity networks (ICNs) identified through task-free fMRI (tf-fMRI) offer the opportunity to investigate human brain circuits involved in language processes without requiring participants to perform challenging cognitive tasks. In this study, we assessed the ability of tf-fMRI to isolate reproducible networks critical for specific language functions and often damaged in primary progressive aphasia (PPA). First, we performed whole-brain seed-based correlation analyses on tf-fMRI data to identify ICNs anchored in regions known for articulatory, phonological, and semantic processes in healthy male and female controls (HCs). We then evaluated the reproducibility of these ICNs in an independent cohort of HCs, and recapitulated their functional relevance with a post hoc meta-analysis on task-based fMRI. Last, we investigated whether atrophy in these ICNs could inform the differential diagnosis of nonfluent/agrammatic, semantic, and logopenic PPA variants. The identified ICNs included a dorsal articulatory-phonological network involving inferior frontal and supramarginal regions; a ventral semantic network involving anterior middle temporal and angular gyri; a speech perception network involving superior temporal and sensorimotor regions; and a network between posterior inferior temporal and intraparietal regions likely linking visual, phonological, and attentional processes for written language. These ICNs were highly reproducible across independent groups and revealed areas consistent with those emerging from task-based meta-analysis. By comparing ICNs' spatial distribution in HCs with patients' atrophy patterns, we identified ICNs associated with each PPA variant. Our findings demonstrate the potential use of tf-fMRI to investigate the functional status of language networks in patients for whom activation studies can be methodologically challenging.SIGNIFICANCE STATEMENT We showed that a single, short, task-free fMRI acquisition is able to identify four reproducible and relatively segregated intrinsic left-dominant networks associated with articulatory, phonological, semantic, and multimodal orthography-to-phonology processes, in HCs. We also showed that these intrinsic networks relate to syndrome-specific atrophy patterns in primary progressive aphasia. Collectively, our results support the application of task-free fMRI in future research to study functionality of language circuits in patients for whom tasked-based activation studies might be methodologically challenging.
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Affiliation(s)
- Giovanni Battistella
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158,
| | - Valentina Borghesani
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
| | - Maya Henry
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
- Department of Communication Sciences and Disorders, University of Texas, Austin, Texas 78712
| | - Wendy Shwe
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
| | - Michael Lauricella
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
| | - Zachary Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
| | - Jessica Deleon
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
| | - Nina Dronkers
- Department of Psychology, University of California, Berkeley, California 94720, and
| | - Simona M Brambati
- Département de Psychologie, Université de Montréal, Quebec H3T 1J4, Canada
| | - William W Seeley
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
| | - Maria Luisa Mandelli
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
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Tsai RM, Miller Z, Koestler M, Rojas JC, Ljubenkov PA, Rosen HJ, Rabinovici GD, Fagan AM, Cobigo Y, Brown JA, Jung JI, Hare E, Geldmacher DS, Natelson-Love M, McKinley EC, Luong PN, Chuu EL, Powers R, Mumford P, Wolf A, Wang P, Shamloo M, Miller BL, Roberson ED, Boxer AL. Reactions to Multiple Ascending Doses of the Microtubule Stabilizer TPI-287 in Patients With Alzheimer Disease, Progressive Supranuclear Palsy, and Corticobasal Syndrome: A Randomized Clinical Trial. JAMA Neurol 2020; 77:215-224. [PMID: 31710340 PMCID: PMC6865783 DOI: 10.1001/jamaneurol.2019.3812] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Accepted: 09/13/2019] [Indexed: 12/19/2022]
Abstract
Importance Basket-design clinical trials that allow investigation of treatment effects on different clinical syndromes that share the same molecular pathophysiology have not previously been attempted in neurodegenerative disease. Objective To assess the safety, tolerability, and pharmacodynamics of the microtubule stabilizer TPI-287 (abeotaxane) in Alzheimer disease (AD) or the 4-repeat tauopathies (4RT) progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS). Design, Setting, and Participants Two parallel-design, double-blind, placebo-controlled phase 1 randomized clinical trials in AD and 4RT were conducted from December 20, 2013, through May 4, 2017, at the University of California, San Francisco, and University of Alabama at Birmingham. A total of 94 patients with clinically diagnosed AD (n = 39) and 4RT (n = 55) were screened; of these, 3 refused to participate, and 10 with AD and 11 with 4RT did not meet inclusion criteria. A total of 29 patients with AD, 14 with PSP, and 30 with β-amyloid-negative CBS (determined on positron emission tomography findings) were enrolled. Data were analyzed from December 20, 2013, through May 4, 2017, based on modified intention to treat. Interventions Randomization was 8:3 drug to placebo in 3 sequential dose cohorts receiving 2.0, 6.3, or 20.0 mg/m2 of intravenous TPI-287 once every 3 weeks for 9 weeks, with an optional 6-week open-label extension. Main Outcomes and Measures Primary end points were safety and tolerability (maximal tolerated dose) of TPI-287. Secondary and exploratory end points included TPI-287 levels in cerebrospinal fluid (CSF) and changes on biomarker, clinical, and neuropsychology measures. Results A total of 68 participants (38 men [56%]; median age, 65 [range, 50-85] years) were included in the modified intention-to-treat analysis, of whom 26 had AD (14 women [54%]; median age, 63 [range, 50-76] years), and 42 had 4RT (16 women [38%]; median age, 69 [range, 54-83] years). Three severe anaphylactoid reactions occurred in TPI-287-treated patients with AD, whereas none were seen in patients with 4RT, leading to a maximal tolerated dose of 6.3 mg/m2 for AD and 20.0 mg/m2 for 4RT. More falls (3 in the placebo group vs 11 in the TPI-287 group) and a dose-related worsening of dementia symptoms (mean [SD] in the CDR plus NACC FTLD-SB [Clinical Dementia Rating scale sum of boxes with frontotemporal dementia measures], 0.5 [1.8] in the placebo group vs 0.7 [1.6] in the TPI-287 group; median difference, 1.5 [95% CI, 0-2.5]; P = .03) were seen in patients with 4RT. Despite undetectable TPI-287 levels in CSF, CSF biomarkers demonstrated decreased chitinase-3-like protein-1 (YKL-40) levels in the 4RT treatment arm (mean [SD], -8.4 [26.0] ng/mL) compared with placebo (mean [SD], 10.4 [42.3] ng/mL; median difference, -14.6 [95% CI, -30.0 to 0.2] ng/mL; P = .048, Mann-Whitney test). Conclusions and Relevance In this randomized clinical trial, TPI-287 was less tolerated in patients with AD than in those with 4RT owing to the presence of anaphylactoid reactions. The ability to reveal different tau therapeutic effects in various tauopathy syndromes suggests that basket trials are a valuable approach to tau therapeutic early clinical development. Trial Registration ClinicalTrials.gov identifiers: NCT019666666 and NCT02133846.
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Affiliation(s)
- Richard M. Tsai
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
| | - Zachary Miller
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
| | - Mary Koestler
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
| | - Julio C. Rojas
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
| | - Peter A. Ljubenkov
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
| | - Howard J. Rosen
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
| | - Gil D. Rabinovici
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Anne M. Fagan
- Department of Neurology, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Yann Cobigo
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
| | - Jesse A. Brown
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
| | - Joo In Jung
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
| | - Emma Hare
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
| | - David S. Geldmacher
- Alzheimer’s Disease Center, Department of Neurology, University of Alabama at Birmingham
| | - Marissa Natelson-Love
- Alzheimer’s Disease Center, Department of Neurology, University of Alabama at Birmingham
| | - Emily C. McKinley
- Alzheimer’s Disease Center, Department of Neurology, University of Alabama at Birmingham
| | - Phi N. Luong
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
| | - Emmeline L. Chuu
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
| | - Ryan Powers
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
| | - Paige Mumford
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
| | - Amy Wolf
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
| | - Ping Wang
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
| | - Merhdad Shamloo
- Wu Tsai Neurosciences Institute, Stanford University, Palo Alto, California
| | - Bruce L. Miller
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
| | - Erik D. Roberson
- Alzheimer’s Disease Center, Department of Neurology, University of Alabama at Birmingham
| | - Adam L. Boxer
- Memory and Aging Center, Department of Neurology, Sandler Neurosciences Center, University of California, San Francisco
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Resende EDPF, Nolan AL, Petersen C, Ehrenberg AJ, Spina S, Allen IE, Rosen HJ, Kramer J, Miller BL, Seeley WW, Gorno-Tempini ML, Miller Z, Grinberg LT. Language and spatial dysfunction in Alzheimer disease with white matter thorn-shaped astrocytes. Neurology 2020; 94:e1353-e1364. [PMID: 32001514 DOI: 10.1212/wnl.0000000000008937] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Accepted: 10/08/2019] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVES Alzheimer disease (AD) shows a broad array of clinical presentations, but the mechanisms underlying these phenotypic variants remain elusive. Aging-related astrogliopathy (ARTAG) is a relatively recent term encompassing a broad array of tau deposition in astroglia outside the range of traditional tauopathies. White matter thorn-shaped astrocyte (WM-TSA) clusters, a specific ARTAG subtype, has been associated with atypical language presentation of AD in a small study lacking replication. To interrogate the impact of WM-TSA in modifying clinical phenotype in AD, we investigated a clinicopathologic sample of 83 persons with pure cortical AD pathology and heterogeneous clinical presentations. METHODS We mapped WM-TSA presence and density throughout cortical areas and interrogated whether WM-TSA correlated with atypical AD presentation or worse performance in neuropsychological testing. RESULTS WM-TSA was present in nearly half of the cases and equally distributed in typical and atypical AD presentations. Worsening language and visuospatial functions were correlated with higher WM-TSA density in language-related and visuospatial-related regions, respectively. These findings were unrelated to regional neurofibrillary tangle burden. Next, unsupervised clustering divided the participants into 2 groups: a high-WM-TSA (n = 9) and low-WM-TSA (n = 74) pathology signature. The high-WM-TSA group scored significantly worse in language but not in other cognitive domains. CONCLUSIONS The negative impact of WM-TSA pathology to language and possibly visuospatial networks suggests that WM-TSA is not as benign as other ARTAG types and may be explored as a framework to understand the mechanisms and impact of astrocytic tau deposition in AD in humans.
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Affiliation(s)
- Elisa de Paula França Resende
- From the Memory and Aging Center (E.d.P.F.R., A.L.N., C.P., A.J.E., S.S., I.E.A., H.J.R., J.K., B.L.M., W.W.S., M.L.G.-T., Z.M., L.T.G.), Weill Institute for Neurosciences, and Department of Biostatistics and Epidemiology (L.T.G.), University of California, San Francisco; Global Brain Health Institute based at University of California (E.d.P.F.R., L.T.G.), San Francisco; Trinity College (E.d.P.F.R., L.T.G.), Dublin, Ireland; Department of Neurology (E.d.P.F.R.), Federal University of Minas Gerais, Belo Horizonte, Brazil; Department of Integrative Biology (A.J.E.), University of California, Berkeley; and Department of Pathology (L.T.G.), Lim-22, Lim-66, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Amber L Nolan
- From the Memory and Aging Center (E.d.P.F.R., A.L.N., C.P., A.J.E., S.S., I.E.A., H.J.R., J.K., B.L.M., W.W.S., M.L.G.-T., Z.M., L.T.G.), Weill Institute for Neurosciences, and Department of Biostatistics and Epidemiology (L.T.G.), University of California, San Francisco; Global Brain Health Institute based at University of California (E.d.P.F.R., L.T.G.), San Francisco; Trinity College (E.d.P.F.R., L.T.G.), Dublin, Ireland; Department of Neurology (E.d.P.F.R.), Federal University of Minas Gerais, Belo Horizonte, Brazil; Department of Integrative Biology (A.J.E.), University of California, Berkeley; and Department of Pathology (L.T.G.), Lim-22, Lim-66, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Cathrine Petersen
- From the Memory and Aging Center (E.d.P.F.R., A.L.N., C.P., A.J.E., S.S., I.E.A., H.J.R., J.K., B.L.M., W.W.S., M.L.G.-T., Z.M., L.T.G.), Weill Institute for Neurosciences, and Department of Biostatistics and Epidemiology (L.T.G.), University of California, San Francisco; Global Brain Health Institute based at University of California (E.d.P.F.R., L.T.G.), San Francisco; Trinity College (E.d.P.F.R., L.T.G.), Dublin, Ireland; Department of Neurology (E.d.P.F.R.), Federal University of Minas Gerais, Belo Horizonte, Brazil; Department of Integrative Biology (A.J.E.), University of California, Berkeley; and Department of Pathology (L.T.G.), Lim-22, Lim-66, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Alexander J Ehrenberg
- From the Memory and Aging Center (E.d.P.F.R., A.L.N., C.P., A.J.E., S.S., I.E.A., H.J.R., J.K., B.L.M., W.W.S., M.L.G.-T., Z.M., L.T.G.), Weill Institute for Neurosciences, and Department of Biostatistics and Epidemiology (L.T.G.), University of California, San Francisco; Global Brain Health Institute based at University of California (E.d.P.F.R., L.T.G.), San Francisco; Trinity College (E.d.P.F.R., L.T.G.), Dublin, Ireland; Department of Neurology (E.d.P.F.R.), Federal University of Minas Gerais, Belo Horizonte, Brazil; Department of Integrative Biology (A.J.E.), University of California, Berkeley; and Department of Pathology (L.T.G.), Lim-22, Lim-66, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Salvatore Spina
- From the Memory and Aging Center (E.d.P.F.R., A.L.N., C.P., A.J.E., S.S., I.E.A., H.J.R., J.K., B.L.M., W.W.S., M.L.G.-T., Z.M., L.T.G.), Weill Institute for Neurosciences, and Department of Biostatistics and Epidemiology (L.T.G.), University of California, San Francisco; Global Brain Health Institute based at University of California (E.d.P.F.R., L.T.G.), San Francisco; Trinity College (E.d.P.F.R., L.T.G.), Dublin, Ireland; Department of Neurology (E.d.P.F.R.), Federal University of Minas Gerais, Belo Horizonte, Brazil; Department of Integrative Biology (A.J.E.), University of California, Berkeley; and Department of Pathology (L.T.G.), Lim-22, Lim-66, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Isabel E Allen
- From the Memory and Aging Center (E.d.P.F.R., A.L.N., C.P., A.J.E., S.S., I.E.A., H.J.R., J.K., B.L.M., W.W.S., M.L.G.-T., Z.M., L.T.G.), Weill Institute for Neurosciences, and Department of Biostatistics and Epidemiology (L.T.G.), University of California, San Francisco; Global Brain Health Institute based at University of California (E.d.P.F.R., L.T.G.), San Francisco; Trinity College (E.d.P.F.R., L.T.G.), Dublin, Ireland; Department of Neurology (E.d.P.F.R.), Federal University of Minas Gerais, Belo Horizonte, Brazil; Department of Integrative Biology (A.J.E.), University of California, Berkeley; and Department of Pathology (L.T.G.), Lim-22, Lim-66, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Howard J Rosen
- From the Memory and Aging Center (E.d.P.F.R., A.L.N., C.P., A.J.E., S.S., I.E.A., H.J.R., J.K., B.L.M., W.W.S., M.L.G.-T., Z.M., L.T.G.), Weill Institute for Neurosciences, and Department of Biostatistics and Epidemiology (L.T.G.), University of California, San Francisco; Global Brain Health Institute based at University of California (E.d.P.F.R., L.T.G.), San Francisco; Trinity College (E.d.P.F.R., L.T.G.), Dublin, Ireland; Department of Neurology (E.d.P.F.R.), Federal University of Minas Gerais, Belo Horizonte, Brazil; Department of Integrative Biology (A.J.E.), University of California, Berkeley; and Department of Pathology (L.T.G.), Lim-22, Lim-66, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Joel Kramer
- From the Memory and Aging Center (E.d.P.F.R., A.L.N., C.P., A.J.E., S.S., I.E.A., H.J.R., J.K., B.L.M., W.W.S., M.L.G.-T., Z.M., L.T.G.), Weill Institute for Neurosciences, and Department of Biostatistics and Epidemiology (L.T.G.), University of California, San Francisco; Global Brain Health Institute based at University of California (E.d.P.F.R., L.T.G.), San Francisco; Trinity College (E.d.P.F.R., L.T.G.), Dublin, Ireland; Department of Neurology (E.d.P.F.R.), Federal University of Minas Gerais, Belo Horizonte, Brazil; Department of Integrative Biology (A.J.E.), University of California, Berkeley; and Department of Pathology (L.T.G.), Lim-22, Lim-66, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Bruce L Miller
- From the Memory and Aging Center (E.d.P.F.R., A.L.N., C.P., A.J.E., S.S., I.E.A., H.J.R., J.K., B.L.M., W.W.S., M.L.G.-T., Z.M., L.T.G.), Weill Institute for Neurosciences, and Department of Biostatistics and Epidemiology (L.T.G.), University of California, San Francisco; Global Brain Health Institute based at University of California (E.d.P.F.R., L.T.G.), San Francisco; Trinity College (E.d.P.F.R., L.T.G.), Dublin, Ireland; Department of Neurology (E.d.P.F.R.), Federal University of Minas Gerais, Belo Horizonte, Brazil; Department of Integrative Biology (A.J.E.), University of California, Berkeley; and Department of Pathology (L.T.G.), Lim-22, Lim-66, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - William W Seeley
- From the Memory and Aging Center (E.d.P.F.R., A.L.N., C.P., A.J.E., S.S., I.E.A., H.J.R., J.K., B.L.M., W.W.S., M.L.G.-T., Z.M., L.T.G.), Weill Institute for Neurosciences, and Department of Biostatistics and Epidemiology (L.T.G.), University of California, San Francisco; Global Brain Health Institute based at University of California (E.d.P.F.R., L.T.G.), San Francisco; Trinity College (E.d.P.F.R., L.T.G.), Dublin, Ireland; Department of Neurology (E.d.P.F.R.), Federal University of Minas Gerais, Belo Horizonte, Brazil; Department of Integrative Biology (A.J.E.), University of California, Berkeley; and Department of Pathology (L.T.G.), Lim-22, Lim-66, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Maria Luiza Gorno-Tempini
- From the Memory and Aging Center (E.d.P.F.R., A.L.N., C.P., A.J.E., S.S., I.E.A., H.J.R., J.K., B.L.M., W.W.S., M.L.G.-T., Z.M., L.T.G.), Weill Institute for Neurosciences, and Department of Biostatistics and Epidemiology (L.T.G.), University of California, San Francisco; Global Brain Health Institute based at University of California (E.d.P.F.R., L.T.G.), San Francisco; Trinity College (E.d.P.F.R., L.T.G.), Dublin, Ireland; Department of Neurology (E.d.P.F.R.), Federal University of Minas Gerais, Belo Horizonte, Brazil; Department of Integrative Biology (A.J.E.), University of California, Berkeley; and Department of Pathology (L.T.G.), Lim-22, Lim-66, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Zachary Miller
- From the Memory and Aging Center (E.d.P.F.R., A.L.N., C.P., A.J.E., S.S., I.E.A., H.J.R., J.K., B.L.M., W.W.S., M.L.G.-T., Z.M., L.T.G.), Weill Institute for Neurosciences, and Department of Biostatistics and Epidemiology (L.T.G.), University of California, San Francisco; Global Brain Health Institute based at University of California (E.d.P.F.R., L.T.G.), San Francisco; Trinity College (E.d.P.F.R., L.T.G.), Dublin, Ireland; Department of Neurology (E.d.P.F.R.), Federal University of Minas Gerais, Belo Horizonte, Brazil; Department of Integrative Biology (A.J.E.), University of California, Berkeley; and Department of Pathology (L.T.G.), Lim-22, Lim-66, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Lea T Grinberg
- From the Memory and Aging Center (E.d.P.F.R., A.L.N., C.P., A.J.E., S.S., I.E.A., H.J.R., J.K., B.L.M., W.W.S., M.L.G.-T., Z.M., L.T.G.), Weill Institute for Neurosciences, and Department of Biostatistics and Epidemiology (L.T.G.), University of California, San Francisco; Global Brain Health Institute based at University of California (E.d.P.F.R., L.T.G.), San Francisco; Trinity College (E.d.P.F.R., L.T.G.), Dublin, Ireland; Department of Neurology (E.d.P.F.R.), Federal University of Minas Gerais, Belo Horizonte, Brazil; Department of Integrative Biology (A.J.E.), University of California, Berkeley; and Department of Pathology (L.T.G.), Lim-22, Lim-66, University of Sao Paulo Medical School, Sao Paulo, Brazil.
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Miller Z. Digest: Does sexual conflict complicate a trade-off between fecundity and survival? Evolution 2019; 73:2347-2348. [PMID: 31583680 DOI: 10.1111/evo.13855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 08/27/2019] [Accepted: 09/27/2019] [Indexed: 11/30/2022]
Abstract
Why do some species exhibit apparently suboptimal combinations of life history traits? In a comparative study of lizard species, Reedy et al. test the idea that variation in the trade-off between fecundity and survival can be explained by sexual conflict. Their results show that degree of sexual conflict alone cannot explain this variation, and they found a positive correlation between trade-off optimality and the size of males relative to females. These findings suggest a more complicated picture of the fecundity-survival trade-off, possibly involving a third, unknown source of selective pressure.
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Affiliation(s)
- Zachary Miller
- Department of Ecology and Evolutionary, University of Chicago, 1101 E 57th St, Chicago, Illinois, 60637
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Ljubenkov PA, Miller Z, Mumford P, Zhang J, Allen IE, Mitic L, Staffaroni A, Heuer H, Rojas JC, Cobigo Y, Karydas A, Pearlman R, Miller B, Kramer JH, McGrath MS, Rosen HJ, Boxer AL. Peripheral Innate Immune Activation Correlates With Disease Severity in GRN Haploinsufficiency. Front Neurol 2019; 10:1004. [PMID: 31620075 PMCID: PMC6759464 DOI: 10.3389/fneur.2019.01004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [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: 04/30/2019] [Accepted: 09/03/2019] [Indexed: 11/13/2022] Open
Abstract
Objective: To investigate associations between peripheral innate immune activation and frontotemporal lobar degeneration (FTLD) in progranulin gene (GRN) haploinsufficiency. Methods: In this cross-sectional study, ELISA was used to measure six markers of innate immunity (sCD163, CCL18, LBP, sCD14, IL-18, and CRP) in plasma from 30 GRN mutation carriers (17 asymptomatic, 13 symptomatic) and 29 controls. Voxel based morphometry was used to model associations between marker levels and brain atrophy in mutation carriers relative to controls. Linear regression was used to model relationships between plasma marker levels with mean frontal white matter integrity [fractional anisotropy (FA)] and the FTLD modified Clinical Dementia Rating Scale sum of boxes score (FTLD-CDR SB). Results: Plasma sCD163 was higher in symptomatic GRN carriers [mean 321 ng/ml (SD 125)] compared to controls [mean 248 ng/ml (SD 58); p < 0.05]. Plasma CCL18 was higher in symptomatic GRN carriers [mean 56.9 pg/ml (SD 19)] compared to controls [mean 40.5 pg/ml (SD 14); p < 0.05]. Elevation of plasma LBP was associated with white matter atrophy in the right frontal pole and left inferior frontal gyrus (p FWE corrected <0.05) in all mutation carriers relative to controls. Plasma LBP levels inversely correlated with bilateral frontal white matter FA (R2 = 0.59, p = 0.009) in mutation carriers. Elevation in plasma was positively correlated with CDR-FTLD SB (b = 2.27 CDR units/μg LBP/ml plasma, R2 = 0.76, p = 0.003) in symptomatic carriers. Conclusion: FTLD-GRN is associated with elevations in peripheral biomarkers of macrophage-mediated innate immunity, including sCD163 and CCL18. Clinical disease severity and white matter integrity are correlated with blood LBP, suggesting a role for peripheral immune activation in FTLD-GRN.
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Affiliation(s)
- Peter A. Ljubenkov
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Zachary Miller
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Paige Mumford
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Jane Zhang
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Isabel Elaine Allen
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States
| | - Laura Mitic
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
- The Bluefield Project to Cure Frontotemporal Dementia, San Francisco, CA, United States
| | - Adam Staffaroni
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Hilary Heuer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Julio C. Rojas
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Yann Cobigo
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Anna Karydas
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Rodney Pearlman
- The Bluefield Project to Cure Frontotemporal Dementia, San Francisco, CA, United States
| | - Bruce Miller
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Joel H. Kramer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Michael S. McGrath
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, United States
- Department of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Howard J. Rosen
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Adam L. Boxer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
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Yeo IJ, Lee MJ, Baek A, Miller Z, Bhattarai D, Baek YM, Jeong HJ, Kim YK, Kim DE, Hong JT, Kim KB. P4‐680: A SELECTIVE INHIBITOR OF THE IMMUNOPROTEASOME ATTENUATES DISEASE PROGRESSION IN MOUSE MODELS OF ALZHEIMER'S DISEASE. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.09.045] [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: 11/25/2022]
Affiliation(s)
- In Jun Yeo
- Chungbuk National University Cheongju Republic of South Korea
| | | | - Ahruem Baek
- Konkuk University Seoul Republic of South Korea
| | | | | | - Yu Mi Baek
- Konkuk University Seoul Republic of South Korea
| | - Hyun Jung Jeong
- Korea Institute of Science and Technology Seoul Republic of South Korea
| | - Yun Kyung Kim
- Korea Institute of Science and Technology Seoul Republic of South Korea
| | | | - Jin Tae Hong
- Chungbuk National University Cheongju Republic of South Korea
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Lukic S, Mandelli ML, Welch A, Jordan K, Shwe W, Neuhaus J, Miller Z, Hubbard HI, Henry M, Miller BL, Dronkers NF, Gorno-Tempini ML. Neurocognitive basis of repetition deficits in primary progressive aphasia. Brain Lang 2019; 194:35-45. [PMID: 31055171 PMCID: PMC6669076 DOI: 10.1016/j.bandl.2019.04.003] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Revised: 04/10/2019] [Accepted: 04/13/2019] [Indexed: 05/15/2023]
Abstract
Previous studies indicate that repetition is affected in primary progressive aphasia (PPA), particularly in the logopenic variant, due to limited auditory-verbal short-term memory (avSTM). We tested repetition of phrases varied by length (short, long) and meaning (meaningful, non-meaningful) in 58 participants (22 logopenic, 19 nonfluent, and 17 semantic variants) and 21 healthy controls using a modified Bayles repetition test. We evaluated the relation between cortical thickness and repetition performance and whether sub-scores could discriminate PPA variants. Logopenic participants showed impaired repetition across all phrases, specifically in repeating long phrases and any phrases that were non-meaningful. Nonfluent, semantic, and healthy control participants only had difficulty repeating long, non-meaningful phrases. Poor repetition of long phrases was associated with cortical thinning in left temporo-parietal areas across all variants, highlighting the importance of these areas in avSTM. Finally, Bayles repetition phrases can assist classification in PPA, discriminating logopenic from nonfluent/semantic participants with 89% accuracy.
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Affiliation(s)
- Sladjana Lukic
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA.
| | - Maria Luisa Mandelli
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Ariane Welch
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Kesshi Jordan
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Wendy Shwe
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - John Neuhaus
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Zachary Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | | | - Maya Henry
- University of Texas, Austin, TX 78705, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Nina F Dronkers
- University of California, Berkeley, CA 94720, USA; University of California, Davis, CA 95616, USA
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
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Borghesani V, Narvid J, Battistella G, Shwe W, Watson C, Binney RJ, Sturm V, Miller Z, Mandelli ML, Miller B, Gorno-Tempini ML. "Looks familiar, but I do not know who she is": The role of the anterior right temporal lobe in famous face recognition. Cortex 2019; 115:72-85. [PMID: 30772608 PMCID: PMC6759326 DOI: 10.1016/j.cortex.2019.01.006] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Revised: 09/29/2018] [Accepted: 01/07/2019] [Indexed: 12/15/2022]
Abstract
Processing a famous face involves a cascade of steps including detecting the presence of a face, recognizing it as familiar, accessing semantic/biographical information about the person, and finally, if required, production of the proper name. Decades of neuropsychological and neuroimaging studies have identified a network of occipital and temporal brain regions ostensibly comprising the 'core' system for face processing. Recent research has also begun to elucidate upon an 'extended' network, including anterior temporal and frontal regions. However, there is disagreement about which brain areas are involved in each step, as many aspects of face processing occur automatically in healthy individuals and rarely dissociate in patients. Moreover, some common phenomena are not easily induced in an experimental setting, such as having a sense of familiarity without being able to recall who the person is. Patients with the semantic variant of Primary Progressive Aphasia (svPPA) often recognize a famous face as familiar, even when they cannot specifically recall the proper name or biographical details. In this study, we analyzed data from a large sample of 105 patients with neurodegenerative disorders, including 43 svPPA, to identify the neuroanatomical substrates of three different steps of famous face processing. Using voxel-based morphometry, we correlated whole-brain grey matter volumes with scores on three experimental tasks that targeted familiarity judgment, semantic/biographical information retrieval, and naming. Performance in naming and semantic association significantly correlates with grey matter volume in the left anterior temporal lobe, whereas familiarity judgment with integrity of the right anterior middle temporal gyrus. These findings shed light on the neuroanatomical substrates of key components of overt face processing, addressing issues of functional lateralization, and deepening our understanding of neural substrates of semantic knowledge.
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Affiliation(s)
- Valentina Borghesani
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA.
| | - Jared Narvid
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Giovanni Battistella
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Wendy Shwe
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Christa Watson
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA; Department of Neurology, Dyslexia Center, University of California, San Francisco, CA, USA
| | | | - Virginia Sturm
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Zachary Miller
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA; Department of Neurology, Dyslexia Center, University of California, San Francisco, CA, USA
| | - Maria Luisa Mandelli
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA; Department of Neurology, Dyslexia Center, University of California, San Francisco, CA, USA
| | - Bruce Miller
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA
| | - Maria Luisa Gorno-Tempini
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA; Department of Neurology, Dyslexia Center, University of California, San Francisco, CA, USA
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Battistella G, Henry M, Gesierich B, Wilson SM, Borghesani V, Shwe W, Miller Z, Deleon J, Miller BL, Jovicich J, Papinutto N, Dronkers NF, Seeley WW, Mandelli ML, Gorno-Tempini ML. Differential intrinsic functional connectivity changes in semantic variant primary progressive aphasia. Neuroimage Clin 2019; 22:101797. [PMID: 31146321 PMCID: PMC6465769 DOI: 10.1016/j.nicl.2019.101797] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 03/26/2019] [Indexed: 12/25/2022]
Abstract
The semantic variant of primary progressive aphasia (svPPA) is a clinical syndrome characterized by semantic memory deficits with relatively preserved motor speech, syntax, and phonology. There is consistent evidence linking focal neurodegeneration of the anterior temporal lobes (ATL) to the semantic deficits observed in svPPA. Less is known about large-scale functional connectivity changes in this syndrome, particularly regarding the interplay between affected and spared language networks that leads to the unique cognitive dissociations typical of svPPA. Using whole-brain, seed-based connectivity on task-free Magnetic Resonance Imaging (MRI) data, we studied connectivity of networks anchored to three left-hemisphere regions crucially involved in svPPA symptomatology: ATL just posterior to the main atrophic area, opercular inferior frontal gyrus, and posterior inferior temporal lobe. First, in 32 healthy controls, these seeds isolated three networks: a ventral semantic network involving anterior middle temporal and angular gyri, a dorsal articulatory-phonological system involving inferior frontal and supramarginal regions, and a third functional connection between posterior inferior temporal and intraparietal regions likely involved in linking visual and linguistic processes. We then compared connectivity strength of these three networks between 16 svPPA patients and the 32 controls. In svPPA, decreased functional connectivity in the ventral semantic network correlated with weak semantic skills, while connectivity of the network seeded from the posterior inferior temporal lobe, though not significantly different between the two groups, correlated with pseudoword reading skills. Increased connectivity between the inferior frontal gyrus and the superior portion of the angular gyrus suggested possible adaptive changes. Our findings have two main implications. First, they support a functional subdivision of the left IPL based on its connectivity to specific language-related regions. Second, the unique neuroanatomical and linguistic profile observed in svPPA provides a compelling model for the functional interplay of these networks, being either up- or down- regulated in response to disease.
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Affiliation(s)
- Giovanni Battistella
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA.
| | - Maya Henry
- Department of Communication Sciences and Disorders, University of Texas, Austin, USA
| | - Benno Gesierich
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Stephen M Wilson
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Valentina Borghesani
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Wendy Shwe
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Zachary Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA; Department of Neurology, Dyslexia Center, University of California, San Francisco, CA 94158, USA
| | - Jessica Deleon
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Jorge Jovicich
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Rovereto, Italy
| | - Nico Papinutto
- Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Nina F Dronkers
- Department of Psychology, University of California, Berkeley, CA 94720, USA; Department of Neurology, University of California, Davis, CA 95616, USA
| | - William W Seeley
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Maria Luisa Mandelli
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA; Department of Neurology, Dyslexia Center, University of California, San Francisco, CA 94158, USA
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158, USA; Department of Neurology, Dyslexia Center, University of California, San Francisco, CA 94158, USA
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Lee MJ, Miller Z, Park JE, Bhattarai D, Lee W, Kim KB. H727 cells are inherently resistant to the proteasome inhibitor carfilzomib, yet require proteasome activity for cell survival and growth. Sci Rep 2019; 9:4089. [PMID: 30858500 PMCID: PMC6411724 DOI: 10.1038/s41598-019-40635-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 02/20/2019] [Indexed: 01/06/2023] Open
Abstract
The second-in-class proteasome inhibitor (PI) carfilzomib (Kyprolis, Cfz) has contributed to a substantial advancement in multiple myeloma treatment by improving patient survival and quality of life. A considerable portion of patients however display intrinsic resistance to Cfz. Our mechanistic understanding of intrinsic Cfz resistance is limited due to a lack of suitable cell-based models. We report that H727 human bronchial carcinoid cells are inherently resistant to Cfz, yet susceptible to other PIs and inhibitors targeting upstream components of the ubiquitin-proteasome system (UPS). These results indicate that H727 cells remain dependent on the UPS for cell survival and growth despite harboring intrinsic resistance to Cfz. Alterations in the composition of proteasome catalytic subunits via interferon-γ treatment or siRNA knockdown results in sensitization of H727 cells to Cfz. We postulate that a potential link may exist between the composition of proteasome catalytic subunits and the cellular response to Cfz. Overall, H727 cells may serve as a useful cell-based model for de novo Cfz resistance and our results suggest previously unexplored mechanisms of de novo PI resistance.
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Affiliation(s)
- Min Jae Lee
- Department of Pharmaceutical Sciences, University of Kentucky, Lexington, KY, USA
| | - Zachary Miller
- Department of Pharmaceutical Sciences, University of Kentucky, Lexington, KY, USA
| | - Ji Eun Park
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Korea
| | - Deepak Bhattarai
- Department of Pharmaceutical Sciences, University of Kentucky, Lexington, KY, USA
| | - Wooin Lee
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Korea
| | - Kyung Bo Kim
- Department of Pharmaceutical Sciences, University of Kentucky, Lexington, KY, USA.
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