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An Z, He Q, Jiang L, Wang Y, Zhang Y, Sun Y, Wang M, Yang S, Huang L, Li H, Hao Y, Liang X, Wang S. A One-Stone-Two-Birds Strategy of Targeting Microbubbles with "Dual" Anti-Inflammatory and Blood-Brain Barrier "Switch" Function for Ischemic Stroke Treatment. ACS Biomater Sci Eng 2024; 10:1774-1787. [PMID: 38420991 DOI: 10.1021/acsbiomaterials.3c01561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Inflammation is considered to be the main target of the development of new stroke therapies. There are three key issues in the treatment of stroke inflammation: the first one is how to overcome the blood-brain barrier (BBB) to achieve drug delivery, the second one is how to select drugs to treat stroke inflammation, and the third one is how to achieve targeted drug delivery. In this study, we constructed hydrocortisone-phosphatidylserine microbubbles and combined them with ultrasound (US)-targeted microbubble destruction technology to successfully open the BBB to achieve targeted drug delivery. Phosphatidylserine on the microbubbles was used for its "eat me" effect to increase the targeting of the microvesicles. In addition, we found that hydrocortisone can accelerate the closure of the BBB, achieving efficient drug delivery while reducing the entry of peripheral toxins into the brain. In the treatment of stroke inflammation, it was found that hydrocortisone itself has anti-inflammatory effects and can also change the polarization of microglia from the harmful pro-inflammatory M1 phenotype to the beneficial anti-inflammatory M2 phenotype, thus achieving dual anti-inflammatory effects and enhancing the anti-inflammatory effects in ischemic areas after stroke, well reducing the cerebellar infarction volume by inhibiting the inflammatory response after cerebral ischemia. A confocal microendoscope was used to directly observe the polarization of microglial cells in living animal models for dynamic microscopic visualization detection showing the advantage of being closer to clinical work. Taken together, this study constructed a multifunctional targeted US contrast agent with the function of "one-stone-two-birds", which can not only "on-off" the BBB but also have "two" anti-inflammatory functions, providing a new strategy of integrated anti-inflammatory targeted delivery and imaging monitoring for ischemic stroke treatment.
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Affiliation(s)
- Zhongbin An
- Department of Ultrasound, Peking University Third Hospital, Beijing 100191, China
- Ordos Central Hospital, Ordos, Inner Mongolia 017000, China
| | - Qiong He
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
- Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Ling Jiang
- Department of Ultrasound, Peking University Third Hospital, Beijing 100191, China
| | - Yuan Wang
- Department of Ultrasound, Peking University Third Hospital, Beijing 100191, China
| | - Yongyue Zhang
- Department of Ultrasound, Peking University Third Hospital, Beijing 100191, China
| | - Yang Sun
- Department of Ultrasound, Peking University Third Hospital, Beijing 100191, China
| | - Mengxin Wang
- Department of Ultrasound, Peking University Third Hospital, Beijing 100191, China
| | - Shiyuan Yang
- Department of Ultrasound, Peking University Third Hospital, Beijing 100191, China
| | - Lijie Huang
- Tsinghua University, Hai Dian, Beijing 017000, China
| | - Huiwen Li
- Ordos Central Hospital, Ordos, Inner Mongolia 017000, China
| | - Yu Hao
- Ordos Central Hospital, Ordos, Inner Mongolia 017000, China
| | - Xiaolong Liang
- Department of Ultrasound, Peking University Third Hospital, Beijing 100191, China
| | - Shumin Wang
- Department of Ultrasound, Peking University Third Hospital, Beijing 100191, China
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Waszczuk MA, Jonas KG, Bornovalova M, Breen G, Bulik CM, Docherty AR, Eley TC, Hettema JM, Kotov R, Krueger RF, Lencz T, Li JJ, Vassos E, Waldman ID. Dimensional and transdiagnostic phenotypes in psychiatric genome-wide association studies. Mol Psychiatry 2023; 28:4943-4953. [PMID: 37402851 PMCID: PMC10764644 DOI: 10.1038/s41380-023-02142-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 05/17/2023] [Accepted: 06/16/2023] [Indexed: 07/06/2023]
Abstract
Genome-wide association studies (GWAS) provide biological insights into disease onset and progression and have potential to produce clinically useful biomarkers. A growing body of GWAS focuses on quantitative and transdiagnostic phenotypic targets, such as symptom severity or biological markers, to enhance gene discovery and the translational utility of genetic findings. The current review discusses such phenotypic approaches in GWAS across major psychiatric disorders. We identify themes and recommendations that emerge from the literature to date, including issues of sample size, reliability, convergent validity, sources of phenotypic information, phenotypes based on biological and behavioral markers such as neuroimaging and chronotype, and longitudinal phenotypes. We also discuss insights from multi-trait methods such as genomic structural equation modelling. These provide insight into how hierarchical 'splitting' and 'lumping' approaches can be applied to both diagnostic and dimensional phenotypes to model clinical heterogeneity and comorbidity. Overall, dimensional and transdiagnostic phenotypes have enhanced gene discovery in many psychiatric conditions and promises to yield fruitful GWAS targets in the years to come.
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Affiliation(s)
- Monika A Waszczuk
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA.
| | - Katherine G Jonas
- Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY, USA
| | | | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- UK National Institute for Health and Care Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - Cynthia M Bulik
- Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anna R Docherty
- Huntsman Mental Health Institute, Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Thalia C Eley
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- UK National Institute for Health and Care Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - John M Hettema
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
- Department of Psychiatry, Texas A&M Health Sciences Center, Bryan, TX, USA
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY, USA
| | - Robert F Krueger
- Psychology Department, University of Minnesota, Minneapolis, MN, USA
| | - Todd Lencz
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Psychiatry, Division of Research, The Zucker Hillside Hospital Division of Northwell Health, Glen Oaks, NY, USA
- Institute for Behavioral Science, The Feinstein Institutes for Medical Research, Manhasset, NY, USA
| | - James J Li
- Department of Psychology, University of Wisconsin, Madison, WI, USA
- Waisman Center, University of Wisconsin, Madison, WI, USA
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- UK National Institute for Health and Care Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
- Center for Computational and Quantitative Genetics, Emory University, Atlanta, GA, USA
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Acosta JN, Haider SP, Rivier C, Leasure AC, Sheth KN, Falcone GJ, Payabvash S. Blood pressure-related white matter microstructural disintegrity and associated cognitive function impairment in asymptomatic adults. Stroke Vasc Neurol 2023; 8:358-367. [PMID: 36878613 PMCID: PMC10647862 DOI: 10.1136/svn-2022-001929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 02/13/2023] [Indexed: 03/08/2023] Open
Abstract
BACKGROUND AND OBJECTIVES We aimed to investigate the white matter (WM) microstructural/cytostructural disintegrity patterns related to higher systolic blood pressure (SBP), and whether they mediate SBP effects on cognitive performance in middle-aged adults. METHODS Using the UK Biobank study of community-dwelling volunteers aged 40-69 years, we included participants without a history of stroke, dementia, demyelinating disease or traumatic brain injury. We investigated the association of SBP with MRI diffusion metrics: fractional anisotropy (FA), mean diffusivity (MD), intracellular volume fraction (a measure of neurite density), isotropic (free) water volume fraction (ISOVF) and orientation dispersion across WM tracts. Then, we determined whether WM diffusion metrics mediated the effects of SBP on cognitive function. RESULTS We analysed 31 363 participants-mean age of 63.8 years (SD: 7.7), and 16 523 (53%) females. Higher SBP was associated with lower FA and neurite density, but higher MD and ISOVF. Among different WM tracts, diffusion metrics of the internal capsule anterior limb, external capsule, superior and posterior corona radiata were most affected by higher SBP. Among seven cognitive metrics, SBP levels were only associated with 'fluid intelligence' (adjusted p<0.001). In mediation analysis, the averaged FA of external capsule, internal capsule anterior limb and superior cerebellar peduncle mediated 13%, 9% and 13% of SBP effects on fluid intelligence, while the averaged MD of external capsule, internal capsule anterior and posterior limbs, and superior corona radiata mediated 5%, 7%, 7% and 6% of SBP effects on fluid intelligence, respectively. DISCUSSION Among asymptomatic adults, higher SBP is associated with pervasive WM microstructure disintegrity, partially due to reduced neuronal count, which appears to mediate SBP adverse effects on fluid intelligence. Diffusion metrics of select WM tracts, which are most reflective of SBP-related parenchymal damage and cognitive impairment, may serve as imaging biomarkers to assess treatment response in antihypertensive trials.
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Affiliation(s)
- Julián N Acosta
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Stefan P Haider
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Otorhinolaryngology, Ludwig Maximilians University Munich, Munchen, Germany
| | - Cyprien Rivier
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Audrey C Leasure
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Kevin N Sheth
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Guido J Falcone
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Seyedmehdi Payabvash
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA
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Meschia JF, Fornage M. Genetic Basis of Stroke Occurrence, Prevention, and Outcome. Stroke 2022. [DOI: 10.1016/b978-0-323-69424-7.00019-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Baillieul S, Dekkers M, Brill AK, Schmidt MH, Detante O, Pépin JL, Tamisier R, Bassetti CLA. Sleep apnoea and ischaemic stroke: current knowledge and future directions. Lancet Neurol 2021; 21:78-88. [PMID: 34942140 DOI: 10.1016/s1474-4422(21)00321-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 08/31/2021] [Accepted: 09/07/2021] [Indexed: 12/11/2022]
Abstract
Sleep apnoea, one of the most common chronic diseases, is a risk factor for ischaemic stroke, stroke recurrence, and poor functional recovery after stroke. More than half of stroke survivors present with sleep apnoea during the acute phase after stroke, with obstructive sleep apnoea being the most common subtype. Following a stroke, sleep apnoea frequency and severity might decrease over time, but moderate to severe sleep apnoea is nevertheless present in up to a third of patients in the chronic phase after an ischaemic stroke. Over the past few decades evidence suggests that treatment for sleep apnoea is feasible during the acute phase of stroke and might favourably affect recovery and long-term outcomes. Nevertheless, sleep apnoea still remains underdiagnosed and untreated in many cases, due to challenges in the detection and prediction of post-stroke sleep apnoea, uncertainty as to the optimal timing for its diagnosis, and a scarcity of clear treatment guidelines (ie, uncertainty on when to treat and the optimal treatment strategy). Moreover, the pathophysiology of sleep apnoea associated with stroke, the proportion of stroke survivors with obstructive and central sleep apnoea, and the temporal evolution of sleep apnoea subtypes following stroke remain to be clarified. To address these shortcomings, the management of sleep apnoea associated with stroke should be integrated into a multidisciplinary diagnostic, treatment, and follow-up strategy.
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Affiliation(s)
- Sébastien Baillieul
- Department of Neurology, Inselspital, University Hospital, Bern, Switzerland; Service Universitaire de Pneumologie Physiologie, Grenoble Alpes University Hospital, Grenoble, France; Inserm U1300, Grenoble Institute of Neurosciences, Université Grenoble Alpes, Grenoble, France
| | - Martijn Dekkers
- Department of Neurology, Inselspital, University Hospital, Bern, Switzerland
| | - Anne-Kathrin Brill
- Department of Pulmonary Medicine, Inselspital, University Hospital, Bern, Switzerland
| | - Markus H Schmidt
- Department of Neurology, Inselspital, University Hospital, Bern, Switzerland; Ohio Sleep Medicine Institute, Dublin, OH, USA
| | - Olivier Detante
- Stroke Unit, Neurology Department, Grenoble Alpes University Hospital, Grenoble, France; Inserm U1216, Grenoble Institute of Neurosciences, Université Grenoble Alpes, Grenoble, France
| | - Jean-Louis Pépin
- Service Universitaire de Pneumologie Physiologie, Grenoble Alpes University Hospital, Grenoble, France; Inserm U1300, Grenoble Institute of Neurosciences, Université Grenoble Alpes, Grenoble, France
| | - Renaud Tamisier
- Service Universitaire de Pneumologie Physiologie, Grenoble Alpes University Hospital, Grenoble, France; Inserm U1300, Grenoble Institute of Neurosciences, Université Grenoble Alpes, Grenoble, France
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Dhar R, Hamzehloo A, Kumar A, Chen Y, He J, Heitsch L, Slowik A, Strbian D, Lee JM. Hemispheric CSF volume ratio quantifies progression and severity of cerebral edema after acute hemispheric stroke. J Cereb Blood Flow Metab 2021; 41:2907-2915. [PMID: 34013805 PMCID: PMC8756467 DOI: 10.1177/0271678x211018210] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
As swelling occurs, CSF is preferentially displaced from the ischemic hemisphere. The ratio of CSF volume in the stroke-affected hemisphere to that in the contralateral hemisphere may quantify the progression of cerebral edema. We automatically segmented CSF from 1,875 routine CTs performed within 96 hours of stroke onset in 924 participants of a stroke cohort study. In 737 subjects with follow-up imaging beyond 24-hours, edema severity was classified as affecting less than one-third of the hemisphere (CED-1), large hemispheric infarction (LHI, over one-third the hemisphere), without midline shift (CED-2) or with midline shift (CED-3). Malignant edema was LHI resulting in deterioration, requiring osmotic therapy, surgery, or resulting in death. Hemispheric CSF ratio was lower on baseline CT in those with LHI (0.91 vs. 0.97, p < 0.0001) and decreased more rapidly in those with LHI who developed midline shift (0.01 per hour for CED-3 vs. 0.004/hour CED-2). The ratio at 24-hours was lower in those with midline shift (0.41, IQR 0.30-0.57 vs. 0.66, 0.56-0.81 for CED-2). A ratio below 0.50 provided 90% sensitivity, 82% specificity for predicting malignant edema among those with LHI (AUC 0.91, 0.85-0.96). This suggests that the hemispheric CSF ratio may provide an accessible early biomarker of edema severity.
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Affiliation(s)
- Rajat Dhar
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Ali Hamzehloo
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Atul Kumar
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Yasheng Chen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - June He
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Laura Heitsch
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.,Department of Emergency Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Agnieszka Slowik
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | - Daniel Strbian
- Department of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Jin-Moo Lee
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.,Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.,Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA
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Lee JM, Fernandez-Cadenas I, Lindgren AG. Using Human Genetics to Understand Mechanisms in Ischemic Stroke Outcome: From Early Brain Injury to Long-Term Recovery. Stroke 2021; 52:3013-3024. [PMID: 34399587 DOI: 10.1161/strokeaha.121.032622] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
There is a critical need to elucidate molecular mechanisms underlying brain injury, repair, and recovery following ischemic stroke-a global health problem with major social and economic impact. Despite 5 decades of intensive research, there are no widely accepted neuroprotective drugs that mitigate ischemic brain injury, or neuroreparative drugs, or personalized approaches that guide therapies to enhance recovery. We here explore novel reverse translational approaches that will complement traditional forward translational methods in identifying mechanisms relevant to human stroke outcome. Although genome-wide association studies have yielded over 30 genetic loci that influence ischemic stroke risk, only a few genome-wide association studies have been performed for stroke outcome. We discuss important considerations for genetic studies of ischemic stroke outcome-including carefully designed phenotypes that capture injury/recovery mechanisms, anchored in time to stroke onset. We also address recent genome-wide association studies that provide insight into mechanisms underlying brain injury and repair. There are several ongoing initiatives exploring genomic associations with novel phenotypes related to stroke outcome. To improve the understanding of the genetic architecture of ischemic stroke outcome, larger studies using standardized phenotypes, preferably embedded in standard-of-care measures, are needed. Novel techniques beyond genome-wide association studies-including exploiting informatics, multi-omics, and novel analytics-promise to uncover genetic and molecular pathways from which drug targets and other new interventions may be identified.
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Affiliation(s)
- Jin-Moo Lee
- The Hope Center for Neurological Disorders, Department of Neurology, Washington University School of Medicine, St. Louis, MO (J.-M.L)
| | - Israel Fernandez-Cadenas
- Stroke Pharmacogenomics and Genetics Group, Sant Pau Biomedical Research Institute, Barcelona, Spain (I.F.C.)
| | - Arne G Lindgren
- Department of Clinical Sciences Lund, Neurology, Lund University, Sweden (A.G.L.).,Department of Neurology, Skåne University Hospital, Lund, Sweden (A.G.L.)
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Guerreiro R, Gibbons E, Tábuas-Pereira M, Kun-Rodrigues C, Santo GC, Bras J. Genetic architecture of common non-Alzheimer's disease dementias. Neurobiol Dis 2020; 142:104946. [PMID: 32439597 PMCID: PMC8207829 DOI: 10.1016/j.nbd.2020.104946] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 05/04/2020] [Accepted: 05/13/2020] [Indexed: 02/07/2023] Open
Abstract
Frontotemporal dementia (FTD), dementia with Lewy bodies (DLB) and vascular dementia (VaD) are the most common forms of dementia after Alzheimer's disease (AD). The heterogeneity of these disorders and/or the clinical overlap with other diseases hinder the study of their genetic components. Even though Mendelian dementias are rare, the study of these forms of disease can have a significant impact in the lives of patients and families and have successfully brought to the fore many of the genes currently known to be involved in FTD and VaD, starting to give us a glimpse of the molecular mechanisms underlying these phenotypes. More recently, genome-wide association studies have also pointed to disease risk-associated loci. This has been particularly important for DLB where familial forms of disease are very rarely described. In this review we systematically describe the Mendelian and risk genes involved in these non-AD dementias in an effort to contribute to a better understanding of their genetic architecture, find differences and commonalities between different dementia phenotypes, and uncover areas that would benefit from more intense research endeavors.
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Affiliation(s)
- Rita Guerreiro
- Center for Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA; Division of Psychiatry and Behavioral Medicine, Michigan State University College of Human Medicine, Grand Rapids, MI, USA.
| | - Elizabeth Gibbons
- Center for Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
| | - Miguel Tábuas-Pereira
- Department of Neurology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal; Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Celia Kun-Rodrigues
- Center for Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
| | - Gustavo C Santo
- Department of Neurology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal; Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
| | - Jose Bras
- Center for Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA; Division of Psychiatry and Behavioral Medicine, Michigan State University College of Human Medicine, Grand Rapids, MI, USA
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Abstract
Radiogenomics, defined as the integrated analysis of radiologic imaging and genetic data, is a well-established tool shown to augment neuroimaging in the clinical diagnosis, prognostication, and scientific study of late-onset Alzheimer disease (LOAD). Early work using candidate single nucleotide polymorphisms (SNPs) identified genetic variation in APOE, BIN1, CLU, and CR1 as key modifiers of brain structure and function using magnetic resonance imaging (MRI). More recently, polygenic risk scores used in conjunction with MRI and positron emission tomography have shown great promise as a risk-stratification tool for clinical trials and care-management decisions. In addition, recent work using multimodal MRI and positron emission tomography as proxies of LOAD progression has identified novel risk variants that are enhancing our understanding of LOAD pathophysiology and progression. Herein, we highlight key studies and trends in the radiogenomics of LOAD over the past two decades and their implications for clinical practice and scientific research.
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Abstract
Vascular dementia (VaD) is a common disorder that encompasses heterogeneous entities, which creates challenges in order to reach a global consensus for diagnostic criteria. While the genetic basis for sporadic VaD remains poorly understood, the identification of causal genes in monogenic forms of VaD sheds light on the pathophysiological mechanisms of VaD. This special report describes progress in genetic research on monogenic and sporadic VaD, as well as on associated phenotypes, such as cerebral small vessel disease, stroke and Alzheimer's disease. Methodological issues (e.g., small-size studies) and strategies to overcome these problems (e.g., collaborative consortiums, endophenotypes) are discussed. Lastly, future perspectives in the field and how such work could benefit patients and clinicians are mentioned.
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Affiliation(s)
- Raquel Manso-Calderón
- Department of Neurology, University Hospital of Salamanca, Salamanca 37007, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), University of Salamanca, Salamanca 37007, Spain
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